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array:24 [ "pii" => "S2341192918300556" "issn" => "23411929" "doi" => "10.1016/j.redare.2018.04.008" "estado" => "S300" "fechaPublicacion" => "2018-05-01" "aid" => "913" "copyright" => "Sociedad Española de Anestesiología, Reanimación y Terapéutica del Dolor" "copyrightAnyo" => "2018" "documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "cita" => "Revista Española de Anestesiología y Reanimación (English Version). 2018;65:252-7" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "Traduccion" => array:1 [ "es" => array:19 [ "pii" => "S0034935618300173" "issn" => "00349356" "doi" => "10.1016/j.redar.2018.01.013" "estado" => "S300" "fechaPublicacion" => "2018-05-01" "aid" => "913" "copyright" => "Sociedad Española de Anestesiología, Reanimación y Terapéutica del Dolor" "documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "cita" => "Rev Esp Anestesiol Reanim. 2018;65:252-7" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:2 [ "total" => 117 "formatos" => array:2 [ "HTML" => 82 "PDF" => 35 ] ] "es" => array:13 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">ORIGINAL</span>" "titulo" => "Correlación de hallazgos preoperatorios en la tomografía axial computarizada con la presencia de vía aérea difícil en pacientes intervenidos mediante cirugía otorrinolaringológica de cabeza y cuello" "tienePdf" => "es" "tieneTextoCompleto" => "es" "tieneResumen" => array:2 [ 0 => "es" 1 => "en" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "252" "paginaFinal" => "257" ] ] "titulosAlternativos" => array:1 [ "en" => array:1 [ "titulo" => "Correlation of preoperative findings in computed axial tomography with the presence of difficult airway in patients undergoing head and neck otorhinolaryngological surgery" ] ] "contieneResumen" => array:2 [ "es" => true "en" => true ] "contieneTextoCompleto" => array:1 [ "es" => true ] "contienePdf" => array:1 [ "es" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Figura 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1531 "Ancho" => 1523 "Tamanyo" => 60162 ] ] "descripcion" => array:1 [ "es" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Curva COR de BL/PFP en pacientes Cormack III/IV.</p> <p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">BL/PFP: distancia de la base de la lengua a la pared faríngea posterior. 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"apellidos" => "Moral" ] ] ] ] ] "idiomaDefecto" => "es" "Traduccion" => array:1 [ "en" => array:9 [ "pii" => "S2341192918300556" "doi" => "10.1016/j.redare.2018.04.008" "estado" => "S300" "subdocumento" => "" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2341192918300556?idApp=UINPBA00004N" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0034935618300173?idApp=UINPBA00004N" "url" => "/00349356/0000006500000005/v1_201805080427/S0034935618300173/v1_201805080427/es/main.assets" ] ] "itemSiguiente" => array:19 [ "pii" => "S2341192918300477" "issn" => "23411929" "doi" => "10.1016/j.redare.2017.12.013" "estado" => "S300" "fechaPublicacion" => "2018-05-01" "aid" => "893" "copyright" => "Sociedad Española de Anestesiología, Reanimación y Terapéutica del Dolor" "documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "cita" => "Revista Española de Anestesiología y Reanimación (English Version). 2018;65:258-68" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:2 [ "total" => 1 "HTML" => 1 ] "en" => array:12 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "What have we learned from reporting safety incidents in the Surgical Block?: Cross-sectional descriptive study of two-years of activity of a multidisciplinary analytical group" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "es" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "258" "paginaFinal" => "268" ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "¿Qué hemos aprendido de la notificación de incidentes de seguridad en el Bloque Quirúrgico?: estudio descriptivo transversal de 2 años de actividad de un grupo analizador multidisciplinar" ] ] "contieneResumen" => array:2 [ "en" => true "es" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "F. 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"apellidos" => "Echevarría Moreno" ] ] ] ] ] "idiomaDefecto" => "en" "Traduccion" => array:1 [ "es" => array:9 [ "pii" => "S0034935617302773" "doi" => "10.1016/j.redar.2017.12.007" "estado" => "S300" "subdocumento" => "" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "idiomaDefecto" => "es" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0034935617302773?idApp=UINPBA00004N" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2341192918300477?idApp=UINPBA00004N" "url" => "/23411929/0000006500000005/v1_201805120427/S2341192918300477/v1_201805120427/en/main.assets" ] "itemAnterior" => array:19 [ "pii" => "S2341192918300520" "issn" => "23411929" "doi" => "10.1016/j.redare.2018.04.005" "estado" => "S300" "fechaPublicacion" => "2018-05-01" "aid" => "905" "copyright" => "Sociedad Española de Anestesiología, Reanimación y Terapéutica del Dolor" "documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "cita" => "Revista Española de Anestesiología y Reanimación (English Version). 2018;65:246-51" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "en" => array:13 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "Is a blood sample for hemoglobins in the transfusional range reliable?" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "es" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "246" "paginaFinal" => "251" ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "¿Es fiable una muestra de gasometría para hemoglobinas en rango transfusional?" ] ] "contieneResumen" => array:2 [ "en" => true "es" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1373 "Ancho" => 1418 "Tamanyo" => 130505 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Pearson linear regression between POC and central laboratory haemoglobin levels with 95% confidence interval for the mean and 95% individual confidence interval. Hb POC<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>1.37<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>0.95<span class="elsevierStyleHsp" style=""></span>*<span class="elsevierStyleHsp" style=""></span>Hb.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "A. López, L. Gómez, G. Petinal, N. Adán, S. Alvarado, N. Carballo" "autores" => array:6 [ 0 => array:2 [ "nombre" => "A." "apellidos" => "López" ] 1 => array:2 [ "nombre" => "L." "apellidos" => "Gómez" ] 2 => array:2 [ "nombre" => "G." "apellidos" => "Petinal" ] 3 => array:2 [ "nombre" => "N." "apellidos" => "Adán" ] 4 => array:2 [ "nombre" => "S." "apellidos" => "Alvarado" ] 5 => array:2 [ "nombre" => "N." "apellidos" => "Carballo" ] ] ] ] ] "idiomaDefecto" => "en" "Traduccion" => array:1 [ "es" => array:9 [ "pii" => "S0034935618300094" "doi" => "10.1016/j.redar.2018.01.005" "estado" => "S300" "subdocumento" => "" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "idiomaDefecto" => "es" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0034935618300094?idApp=UINPBA00004N" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2341192918300520?idApp=UINPBA00004N" "url" => "/23411929/0000006500000005/v1_201805120427/S2341192918300520/v1_201805120427/en/main.assets" ] "en" => array:20 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "Correlation of preoperative findings in computed axial tomography with the presence of difficult airway in patients undergoing head and neck otorhinolaryngological surgery" "tieneTextoCompleto" => true "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "252" "paginaFinal" => "257" ] ] "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "J.C. Gutiérrez, S. Merino, P. de la Calle, C. Perrino, M. Represa, P. Moral" "autores" => array:6 [ 0 => array:4 [ "nombre" => "J.C." "apellidos" => "Gutiérrez" "email" => array:1 [ 0 => "juangutierrezfranchi@gmail.com" ] "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] 1 => array:3 [ "nombre" => "S." "apellidos" => "Merino" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 2 => array:3 [ "nombre" => "P." "apellidos" => "de la Calle" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 3 => array:3 [ "nombre" => "C." "apellidos" => "Perrino" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 4 => array:3 [ "nombre" => "M." "apellidos" => "Represa" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 5 => array:3 [ "nombre" => "P." "apellidos" => "Moral" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] ] "afiliaciones" => array:2 [ 0 => array:3 [ "entidad" => "Servicio de Anestesiología y Reanimación, Hospital Clínico San Carlos, Madrid, Spain" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Servicio de Radiodiagnóstico, Hospital Clínico San Carlos, Madrid, Spain" "etiqueta" => "b" "identificador" => "aff0010" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Correlación de hallazgos preoperatorios en la tomografía axial computarizada con la presencia de vía aérea difícil en pacientes intervenidos mediante cirugía otorrinolaringológica de cabeza y cuello" ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0015" "etiqueta" => "Figure 3" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr3.jpeg" "Alto" => 1544 "Ancho" => 1504 "Tamanyo" => 64291 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">COR curve of VC/PPW in Cormack III/IV patients.</p> <p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">CV/PPW: distance from the vocal cords to the posterior pharyngeal wall. Area down the curve: 64.9%.</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Head and neck cancers account for 5% of all tumours. The most common site is the larynx, followed by the oropharynx, the oral cavity and the nasopharynx.<a class="elsevierStyleCrossRef" href="#bib0050"><span class="elsevierStyleSup">1</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">The incidence of difficult intubation in this population is 7.1%.<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">2</span></a> The American Society of Anesthesiologists defines “difficult supraglottic airway intubation” as the performance of multiple intubation attempts in the presence or absence of tracheal disease<a class="elsevierStyleCrossRef" href="#bib0060"><span class="elsevierStyleSup">3</span></a>.</p><p id="par0015" class="elsevierStylePara elsevierViewall">Tests performed during a physical assessment of difficult airway can help prevent airway management emergencies. The Mallampati test is the benchmark used in nearly all published studies on airway predictors, and is the most widely used airway assessment test in clinical management, with a sensitivity of 76% and a specificity of 77%.<a class="elsevierStyleCrossRefs" href="#bib0065"><span class="elsevierStyleSup">4,5</span></a> The Mallampati test in the supine position is thought to be a better predictor than in a seated position.<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">6</span></a></p><p id="par0020" class="elsevierStylePara elsevierViewall">The tests used to predict difficult intubation are well known, and a description of these with their sensitivities and specificities is beyond the scope of this study. We will simply mention that the Mallampati plus the thyromental and sternomental distances has the greatest discriminative power of all tests, with a sensitivity of 100% and a specificity of 92.7%.<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">7</span></a></p><p id="par0025" class="elsevierStylePara elsevierViewall">The known limitations of physical predictive tests are further compounded by alterations in the normal anatomy of the airway in otolaryngology (ENT) patients. For this reason, we sought to correlate 4 preoperative CT measurements with confirmed presence of difficult airway and difficult airway predictions.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Materials and method</span><p id="par0030" class="elsevierStylePara elsevierViewall">This was a retrospective study spanning 36 months involving 104 patients undergoing surgery for head and neck cancer under general anaesthesia and intubation performed in the Ears, Nose and Throat Department of our hospital. The inclusion criteria were: aged over 18 with resectable head and neck tumour, access to physical and digital anaesthesia records that specifically show the Cormack-Lehane classification and/or alternative instruments used in the case of difficulty during airway management, and access to preoperative CT images. Patients were included irrespective of the type of head and neck tumour or tumour stage in the case of malignant lesions. Exclusion criteria were: unavailability of anaesthesia reports or CT images and difficulty in measuring predictors on CT images, as reported by the radiologist (such as marked distortion of the airway and patients with pre-operative tracheostomy). Reoperation with a previous tracheostomy that was surgically closed was not an exclusion criterion.</p><p id="par0035" class="elsevierStylePara elsevierViewall">During the selection process, the radiology team reported 15 cases with significant distortion of the airway that precluded CT measurements, and these patients were excluded from the analysis. A total of 89 patients were included in the study.</p><p id="par0040" class="elsevierStylePara elsevierViewall">A multivariate logistic regression analysis was performed on the findings of the preoperative imaging tests, where the dependent variable was the presence of Mallampati III–IV and the most limited glottic visualisation (defined as Cormack III–IV). The 89 patients were assigned to the Cormack I–IV and Mallampati I–IV groups in equal proportion. A total of 4 CT and clinical predictors of difficult airway were included in the model.</p><p id="par0045" class="elsevierStylePara elsevierViewall">The CT predictors analysed in the study were: distance from the vocal cords to the posterior pharyngeal wall (VC/PPW), laryngotracheal angle (LTA), distance from the epiglottis to the posterior pharyngeal wall (EPI/PPW) and from the base of the tongue to the posterior pharyngeal wall (BT/PPW). The odds ratio (OR) was the 95% confidence interval (95% CI). All tests were considered statistically significant if <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05.</p><p id="par0050" class="elsevierStylePara elsevierViewall">The data were analysed using IBM SPSS Statistics v. 23. Descriptive statistics were presented as frequencies and percentages or mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>standard deviation. Means and proportions were compared using the Student's <span class="elsevierStyleItalic">t</span> test for continuous variables and Chi-square-Fisher for categorical variables.</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Results</span><p id="par0055" class="elsevierStylePara elsevierViewall">The study sample consisted of 69 men and 20 women, with an average age of 66 years.</p><p id="par0060" class="elsevierStylePara elsevierViewall">Study patients were classified by: age, sex, airway management device, predictors of difficult airway found in the physical examination, Cormack-Lehane grade, CT measurements, year of surgery, and the need for pre- and intraoperative tracheostomy (<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>).</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0065" class="elsevierStylePara elsevierViewall">In total, 27% patients presented Mallampati I, 33.7% presented Mallampati II, 28.1% presented Mallampati III, and 11.2% presented Mallampati IV. In terms of Cormack grade, 87.1% presented grade I/II, and 13% presented grade III/IV. A subgroup analysis of patients with predicted easy intubation, such as Mallampati and/or Cormack I–II, and predicted difficult intubation III–IV was performed in order to correlate these cases with the CT predictors. The remaining predictors are described in the corresponding tables.</p><p id="par0070" class="elsevierStylePara elsevierViewall">Eleven patients were classified by anaesthesia residents as Cormack III–IV. Airtraq (3.4%) was used in 3 cases, awake intubation with fibrobronchoscope was performed in 2 patients (2.2%), and in 6 patients (6.7%) a FROVA introducer was required. In the subgroup of awake intubation and Airtraq patients, no additional laryngoscopy was performed before intubation.</p><p id="par0075" class="elsevierStylePara elsevierViewall">The surgeries most frequently performed during the study period were laryngeal microsurgery (37.1%), total laryngectomy (10.1%), and laser cordectomy (6.7%), respectively.</p><p id="par0080" class="elsevierStylePara elsevierViewall">In the Mallampati III–IV group, the mean VC/PPW and BT/PPW distances were 11.89 and 8.82<span class="elsevierStyleHsp" style=""></span>mm, respectively. In the Cormack III–IV group, the mean EPI/PPW and BT/PPW distances were 7 and 10.40<span class="elsevierStyleHsp" style=""></span>mm, respectively.</p><p id="par0085" class="elsevierStylePara elsevierViewall">In Cormack III–IV patients, EPI/PPW and BT/PPW measurements on CT correlated significantly in the univariate model (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05, 95% CI 0.125–3.84 and 0.654–5.915, respectively), but not in the multivariate model when the variables were analysed categorically (95% CI 0.030–2.31 EPI/PPW; 0.018–1.37 BT/PPW). The diagnostic yield of all tests was also evaluated, with EPI/PPW and BT/PPW achieving 71% and 69%, respectively. The remaining predictors analysed are shown in <a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a> and <a class="elsevierStyleCrossRefs" href="#fig0005">Figs. 1 and 2</a>.</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><elsevierMultimedia ident="fig0005"></elsevierMultimedia><elsevierMultimedia ident="fig0010"></elsevierMultimedia><p id="par0090" class="elsevierStylePara elsevierViewall">Among CT predictors, the VC/PPW distance in patients Mallampati III–IV correlated significantly in the univariate model (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05, 95% CI 0.032–3.682) and also in the multivariate model (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05, 95% CI 0.104–8.53). The diagnostic yield of VC/PPW was 64%. The remaining predictors analysed are shown in <a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a> and <a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a>.</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><elsevierMultimedia ident="fig0015"></elsevierMultimedia></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Discussion</span><p id="par0095" class="elsevierStylePara elsevierViewall">Estimates suggest that 1–3% patients present difficulties with intubation or airway management.<a class="elsevierStyleCrossRef" href="#bib0085"><span class="elsevierStyleSup">8</span></a> The incidence of failed intubation is between 0.05 and 0.35%.<a class="elsevierStyleCrossRef" href="#bib0085"><span class="elsevierStyleSup">8</span></a> Knowing the limitations of physical airway assessment tests, and given the prevalence of clinically relevant difficult airway in the population undergoing these procedures, we thought it necessary to find CT predictors that could support airway management decision-making. CT is performed regularly in this patient population, due to its diagnostic and therapeutic implications in the management of ENT diseases.</p><p id="par0100" class="elsevierStylePara elsevierViewall">In their study on predictors of difficult intubation derived from NMR tests in 40 patients in 1995, Samra et al. found no significant differences between the 2 groups (unanticipated difficult intubation and intubation easily accomplished) in 20 of 21 measured parameters on MRI scans and soft tissue radiographs.<a class="elsevierStyleCrossRef" href="#bib0090"><span class="elsevierStyleSup">9</span></a> This suggest that no radiological study alone is able to predict difficulty in intubation. One reason for this is that the exposure of the larynx depends on the compressibility of the tongue and the consistency of the soft tissue of the floor of the mouth; these parameters cannot be measured with imaging studies. Dynamic studies could be useful in these cases.<a class="elsevierStyleCrossRef" href="#bib0090"><span class="elsevierStyleSup">9</span></a></p><p id="par0105" class="elsevierStylePara elsevierViewall">In our study, we obtained good results in the group of patients with the worse glottic vision (Cormack III-IV) with respect to CT EPI/PPW and BT/PPW distance predictors in the univariate model. In the multivariate model, however, the results and diagnostic yield of these predictors were poor. Considering the methodological limitations and the imaging tests used in our study, it would be interesting to explore this further in studies designed to facilitate extrapolation of the findings to clinical practice.</p><p id="par0110" class="elsevierStylePara elsevierViewall">Ours is a university hospital, and most intubations are performed by residents; this raises the possibility that the Cormack grade could be misinterpreted. This factor could be evaluated in a subgroup analysis in future studies. It is also important to take into account each specialist's experience and preference in terms of airway devices; these factors could affect the variables under analysis. Nevertheless, identifying preferences for one or another airway device is beyond the scope of this study.</p><p id="par0115" class="elsevierStylePara elsevierViewall">Patients undergoing head and neck cancer surgery receive preoperative radiotherapy and other diagnostic-therapeutic techniques. The timing of these in relation to the timing of the CT study was sometimes difficult to determine. This could affect the interpretation of the imaging tests by the expert radiologist.</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Conclusions</span><p id="par0120" class="elsevierStylePara elsevierViewall">Although it is very useful for anaesthesiologists to predict the presence of a difficult airway, and imaging tests, particularly CT, could help in this regard, in our study only the VC/PPW distance measured in the Mallampati III-IV group was statistically significant in the multivariate model (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05, 95% CI 0.032–3.682). However, we believe that obtaining images in the same position the patient will adopt during intubation, and prospective evaluation in a larger population may provide more useful preoperative information for the anaesthetist.</p><p id="par0125" class="elsevierStylePara elsevierViewall">Considering the limitations of predictors of difficult intubation, we need to find alternative techniques that will support clinical decision-making and allow clinicians to anticipate life-threatening situations.</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Conflicts of interest</span><p id="par0130" class="elsevierStylePara elsevierViewall">The authors declare that they have no conflicts of interest.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:11 [ 0 => array:3 [ "identificador" => "xres1024755" "titulo" => "Abstract" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Objectives" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Materials and methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusions" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec982662" "titulo" => "Keywords" ] 2 => array:3 [ "identificador" => "xres1024756" "titulo" => "Resumen" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Objetivos" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Material y métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusiones" ] ] ] 3 => array:2 [ "identificador" => "xpalclavsec982661" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:2 [ "identificador" => "sec0010" "titulo" => "Materials and method" ] 6 => array:2 [ "identificador" => "sec0015" "titulo" => "Results" ] 7 => array:2 [ "identificador" => "sec0020" "titulo" => "Discussion" ] 8 => array:2 [ "identificador" => "sec0025" "titulo" => "Conclusions" ] 9 => array:2 [ "identificador" => "sec0030" "titulo" => "Conflicts of interest" ] 10 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2017-05-22" "fechaAceptado" => "2018-01-19" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec982662" "palabras" => array:3 [ 0 => "Difficult airway" 1 => "Computed axial tomography" 2 => "Predictors" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec982661" "palabras" => array:3 [ 0 => "Vía aérea difícil" 1 => "Tomografía axial computarizada" 2 => "Predictores" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Objectives</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">To establish a correlation between 4 measurements made on preoperative computed axial tomography and the presence of difficult airway, as well as its clinical prediction in patients undergoing otorhinolaryngological surgery.</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Materials and methods</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">A retrospective, observational study was carried out using the information gathered from the clinical notes of 104 patients undergoing general anaesthesia and endotracheal intubation for oncological otorhinolaryngological surgery over a period of 36 months. Based on the findings in the preoperative imaging tests, a multivariate logistic regression analysis was performed, where the dependent variable was the presence of extreme grades of visualisation of the glottis visualisation (Cormack III–IV) or the presence of predictors of difficult intubation (Mallampati III–IV). This resulted in a total of 4 tomographic and clinical factors of difficult airway being introduced in this model.</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">In the Cormack III–IV group, the results were not statistically significant in the multivariate model when compared to the tomography predictors, distance from epiglottis to posterior pharyngeal wall (95% CI; 0.030–2.31, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05), and the distance from the base of the tongue to the posterior pharyngeal wall (95% CI; 0.018–1.37, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05). In the Mallampati III–IV group, in the multivariate model only the distance from the vocal cords to the posterior pharyngeal wall showed clinically significant results (95% CI; 0.104–8.53, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05).</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusions</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">In the approach to the airway, reliance on predictors is based on physical examination to anticipate situations that put oxygenation and ventilation of the patients at risk. There are still insufficient data to recommend imaging tests in this area, however it seems that in the future they may be added to the diagnostic performance of physical examination as predictors of difficult airway.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Objectives" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Materials and methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusions" ] ] ] "es" => array:3 [ "titulo" => "Resumen" "resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Objetivos</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Establecer una correlación entre 4 mediciones realizadas en la tomografía axial computarizada preoperatoria y la presencia de vía aérea difícil, y con la predicción clínica de la misma, en pacientes intervenidos mediante cirugía otorrinolaringológica.</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Material y métodos</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Se realizó un estudio observacional, retrospectivo, usando como fuente de información las historias clínicas de 104 pacientes intervenidos bajo anestesia general e intubación endotraqueal por enfermedad oncológica durante un periodo de 36 meses. Sobre la base de los hallazgos obtenidos en las pruebas de imagen preoperatorias se realiza un análisis de regresión logística multivariante, donde las variables dependientes son grados extremos de visualización de la glotis (Cormack III-IV) o la presencia de predictores de intubación dificultosa (Mallampati III-IV). Se introdujeron en dicho modelo un total de 4 factores tomográficos y clínicos de vía aérea difícil.</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">En el grupo Cormack III-IV, en el modelo multivariante los resultados no fueron estadísticamente significativos cuando se comparaban con los predictores tomográficos (p<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>0,05; IC 95% distancia de la epiglotis a la pared faríngea posterior 0,030–2,31; distancia de la base de la lengua a la pared faríngea posterior 0,018-1,37). En el grupo Mallampati III-IV, en el modelo multivariante únicamente la distancia de las cuerdas vocales a la pared faríngea posterior muestra resultados clínicamente significativos (p<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0,05; IC 95% 0,104-8,53).</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusiones</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">En el abordaje de la vía aérea actualmente nos podemos apoyar en los predictores correspondientes al examen físico para adelantarnos a situaciones que pongan en riesgo la oxigenación y la ventilación de nuestros pacientes. Aunque aún los datos son insuficientes para recomendar las pruebas de imagen en este ámbito, parece que en un futuro pueden sumarse al examen físico para aumentar el rendimiento diagnóstico.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Objetivos" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Material y métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusiones" ] ] ] ] "NotaPie" => array:1 [ 0 => array:2 [ "etiqueta" => "☆" "nota" => "<p class="elsevierStyleNotepara" id="npar0025">Please cite this article as: Gutiérrez JC, Merino S, de la Calle P, Perrino C, Represa M, Moral P. Correlación de hallazgos preoperatorios en la tomografía axial computarizada con la presencia de vía aérea difícil en pacientes intervenidos mediante cirugía otorrinolaringológica de cabeza y cuello. Rev Esp Anestesiol Reanim. 2018;65:252–257.</p>" ] ] "multimedia" => array:6 [ 0 => array:7 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1531 "Ancho" => 1523 "Tamanyo" => 58405 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">COR curve of BT/PPW in Cormack III/IV patients.</p> <p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">BT/PPW: distance from the base of the tongue to the posterior pharyngeal wall. Area under the curve: 71.8%.</p>" ] ] 1 => array:7 [ "identificador" => "fig0010" "etiqueta" => "Figure 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 1541 "Ancho" => 1514 "Tamanyo" => 63950 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">COR curve of EPI/PPW in Cormack III/IV patients.</p> <p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">EPI/PPW: distance from the epiglottis to the posterior pharyngeal wall. Area under the curve: 69.1%.</p>" ] ] 2 => array:7 [ "identificador" => "fig0015" "etiqueta" => "Figure 3" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr3.jpeg" "Alto" => 1544 "Ancho" => 1504 "Tamanyo" => 64291 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">COR curve of VC/PPW in Cormack III/IV patients.</p> <p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">CV/PPW: distance from the vocal cords to the posterior pharyngeal wall. Area down the curve: 64.9%.</p>" ] ] 3 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at1" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:3 [ "leyenda" => "<p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">BT/PPW: distance from the base of the tongue to the posterior pharyngeal wall; EPI/PPW: distance from the epiglottis to the posterior pharyngeal wall; LTA: laryngotracheal angle; SD: standard deviation; TMD: thyromental distance VC/PPW: distance from the vocal cords to the posterior pharyngeal wall.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Total<br>n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>89 \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Cervical extension,<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">I: 86 (96.6)<br>II: 3 (3.3) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Mallampati, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">I: 24 (37)<br>II: 30 (33)<br>III: 25 (28)<br>IV: 10 (11) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Mouth opening,<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">I: 1 (1.1)<br>II: 4 (4.5)<br>III: 84 (94.4) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Bite test,<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">c</span></a> n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">I: 86 (96.6)<br>II: 3 (3.4)<br>III: 0 (0) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">TMD,<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">d</span></a> n (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Yes: 87 (2.2)<br>No: 2 (97.8) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">LTA, mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">139.91<span class="elsevierStyleSup">*</span> (9.409) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">EPI/PPW, mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">8.69<span class="elsevierStyleSup">*</span> (2.867) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">BT/PPW, mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">13.20<span class="elsevierStyleSup">*</span> (3.996) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">VC/PPW, mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">13.07<span class="elsevierStyleSup">*</span> (3.931) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1742343.png" ] ] ] "notaPie" => array:4 [ 0 => array:3 [ "identificador" => "tblfn0005" "etiqueta" => "a" "nota" => "<p class="elsevierStyleNotepara" id="npar0005">Cervical extension (I: >35; II: <35).</p>" ] 1 => array:3 [ "identificador" => "tblfn0010" "etiqueta" => "b" "nota" => "<p class="elsevierStyleNotepara" id="npar0010">Mouth opening (I: <2; II: 2.6–3; III: >3<span class="elsevierStyleHsp" style=""></span>cm). 2.6–3; III: >3<span class="elsevierStyleHsp" style=""></span>cm).</p>" ] 2 => array:3 [ "identificador" => "tblfn0015" "etiqueta" => "c" "nota" => "<p class="elsevierStyleNotepara" id="npar0015">Bite test (upper lip I: 86; partial upper lip: 3; no bite: 0).</p>" ] 3 => array:3 [ "identificador" => "tblfn0020" "etiqueta" => "d" "nota" => "<p class="elsevierStyleNotepara" id="npar0020">Thyromental distance (yes: >6.5; no: <6.5<span class="elsevierStyleHsp" style=""></span>cm).</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">CT predictors and physical airway assessment.</p>" ] ] 4 => array:8 [ "identificador" => "tbl0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at2" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0090" class="elsevierStyleSimplePara elsevierViewall">BT/PPW: distance from the base of the tongue to the posterior pharyngeal wall; EPI/PPW: distance from the epiglottis to the posterior pharyngeal wall; LTA: laryngotracheal angle; VC/PPW: distance from the vocal cords to the posterior pharyngeal wall.</p><p id="spar0095" class="elsevierStyleSimplePara elsevierViewall">Easy to intubate (Cormack I/II); Difficult to intubate (Cormack III/IV).</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Cormack grade \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">VC/PPW (mm) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">EPI/PPW (mm) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">BT/PPW (mm) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">LTA \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " colspan="6" align="left" valign="top"><span class="elsevierStyleItalic">Grade I–II</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Mean \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">8.99 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13.68 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">139.81 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Minimum \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">119 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Maximum \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">22 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">16 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">21 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">160 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Percentile \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">25 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10.75 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">135 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">50 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">141 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">75 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">16 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">17 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">145.25 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Standard deviation</td><td class="td" title="table-entry " align="char" valign="top">3.743 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.785 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.875 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9.391 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="6" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="6" align="left" valign="top"><span class="elsevierStyleItalic">Grade III–IV</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Mean \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12.33 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">141 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Minimum \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">122 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Maximum \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">22 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">19 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">155 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Percentiles \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">25 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">133 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">50 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">142 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">75 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">16.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12.25 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">149.5 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Standard deviation</td><td class="td" title="table-entry " align="char" valign="top">5.454 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.625 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4.195 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10.548 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1742342.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0085" class="elsevierStyleSimplePara elsevierViewall">Cormack III/IV and CT predictors.</p>" ] ] 5 => array:8 [ "identificador" => "tbl0015" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at3" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0105" class="elsevierStyleSimplePara elsevierViewall">BT/PPW: distance from the base of the tongue to the posterior pharyngeal wall; EPI/PPW: distance from the epiglottis to the posterior pharyngeal wall; LTA: laryngotracheal angle; SD: standard deviation; TMD: thyromental distance VC/PPW: distance from the vocal cords to the posterior pharyngeal wall.</p><p id="spar0110" class="elsevierStyleSimplePara elsevierViewall">Easy to intubate (Mallampati I/II); Difficult to intubate (Mallampati III/IV).</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " colspan="6" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Statistics</th></tr><tr title="table-row"><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Mallampati grade \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">VC/PPW (mm) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">EPI/PPW (mm) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">BT/PPW (mm) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">LTA \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " colspan="6" align="left" valign="top"><span class="elsevierStyleItalic">Grade I–II</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Mean \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13.75 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">8.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13.66 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">140.67 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Standard deviation \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.818 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.703 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4.121 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9.782 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Minimum \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">119 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Maximum \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">22 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">15 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">21 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">160 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Percentile \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">25 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">135.5 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">50 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">14 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">142 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">75 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">16 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">17 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">145 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="6" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="6" align="left" valign="top"><span class="elsevierStyleItalic">Grade III–IV</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Mean \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11.89 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">8.82 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12.48 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">138.71 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Standard deviation \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.91 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.137 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.743 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">8.81 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Minimum \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">122 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Maximum \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">22 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">16 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">21 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">154 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Percentile \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">25 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9.25 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">132 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">50 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">139 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">75 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13.75 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">16 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">146 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1742344.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0100" class="elsevierStyleSimplePara elsevierViewall">Mallampati III/IV and CT predictors.</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0015" "bibliografiaReferencia" => array:9 [ 0 => array:3 [ "identificador" => "bib0050" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:1 [ "referenciaCompleta" => "Sociedad Española de Oncología Médica. 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