metricas
covid
Buscar en
Cirugía Española (English Edition)
Toda la web
Inicio Cirugía Española (English Edition) Is Age a Predisposing Factor of Postoperative Complications After Lung Resection...
Información de la revista
Vol. 95. Núm. 3.
Páginas 160-166 (marzo 2017)
Visitas
2255
Vol. 95. Núm. 3.
Páginas 160-166 (marzo 2017)
Original article
Acceso a texto completo
Is Age a Predisposing Factor of Postoperative Complications After Lung Resection for Primary Pulmonary Neoplasms?
¿Es la edad un factor predisponente de complicaciones postoperatorias en las resecciones pulmonares por neoplasias pulmonares primarias?
Visitas
2255
Miguel-Ángel Cañizares Carreteroa,
Autor para correspondencia
miguel.a.canizares@gmail.com

Corresponding author.
, Eva-María García Fontána, Montserrat Blanco Ramosa, José Soro Garcíaa, Rommel Carrasco Rodrígueza, Emilio Peña Gonzáleza, Antonio Cueto Ladrón de Guevarab, members of the Grupo de Estudio de Complicaciones Postoperatorias de la Sociedad Española de Cirugía Torácica
a Servicio de Cirugía Torácica, Hospital Álvaro Cunqueiro, Vigo, Spain
b Servicio de Cirugía Torácica, Hospital Universitario Virgen de las Nieves, Granada, Spain
Este artículo ha recibido
Información del artículo
Resumen
Texto completo
Bibliografía
Descargar PDF
Estadísticas
Tablas (6)
Table 1. Collected Variables.
Table 2. Preoperative Comorbidity of the Series (According to Age Groups).
Table 3. Surgical Techniques, Postoperative Complications and Postoperative Hospital Stay Recorded for This Analysis (Stratified by Age Groups).
Table 4. TNM Categories and Tumor Stages in the Series According to the 2009 TNM Classification (7th Edition).
Table 5. Distribution of Postoperative Complications According to the Clavien–Dindo Classification (in Number of Cases).
Table 6. Multivariate Study of the Appearance of Postoperative Complications According to Patient History.
Mostrar másMostrar menos
Abstract
Introduction

Age has been classically considered as a determining factor for the development of postoperative complications related to lung resection for bronchogenic carcinoma. The Postoperative Complications Study Group of the Spanish Society of Thoracic Surgery has promoted a registry to analyze this factor.

Methods

A total of 3307 patients who underwent any type of surgical resection for bronchogenic carcinoma have been systematically and prospectively recorded in any of the 24units that are part of the group. Several variables related to comorbidity and age, as well as postoperative complications, were analyzed.

Results

The mean age of patients was 65.44. Men were significantly more common than female. The most frequent complication was prolonged air leak, which was observed in more than one third of patients. In a univariant analysis, air leak presence and postsurgical atelectasis showed statistical association with patient age, when stratified in age groups. In a multivariate analysis, age was recognized as an independent prognostic factor in relation to air leak onset. However, this could not be confirmed for postoperative atelectasis.

Conclusion

Age is a predisposing factor for the development of postoperative complications after lung resection. Other associated factors also influence the occurrence of these complications.

Keywords:
Bronchogenic carcinoma
Surgery
Postoperative complications
Resumen
Introducción

La edad del paciente ha sido clásicamente interpretada como un factor condicionante de la aparición de complicaciones postoperatorias en cirugía de resección pulmonar por carcinoma broncogénico. El Grupo de Estudio de Complicaciones Postoperatorias de la Sociedad Española de Cirugía Torácica promovió un registro que permitiera analizar este hecho.

Métodos

Se recogieron de forma consecutiva, sistemática y prospectiva los datos de un total de 3.307 pacientes tratados con algún tipo de resección quirúrgica por carcinoma broncogénico en las 24 unidades que forman parte del grupo. Fueron analizadas variables relativas a la comorbilidad y la edad del paciente, así como a las complicaciones postoperatorias acaecidas.

Resultados

La edad media de los pacientes intervenidos fue de 65,44 años. La población masculina en la serie era significativamente mayor que la femenina. La complicación más frecuente fue la fuga aérea prolongada, que ocurrió en más de un tercio de los pacientes. En el estudio univariante, la aparición de fugas aéreas y de atelectasias posquirúrgicas mostraron asociación estadística con la edad de los enfermos, analizada por grupos etarios. En el análisis multivariante, la edad se presentó como un factor pronóstico independiente en relación con la aparición de fugas aéreas posquirúrgicas, no así en cuanto a las atelectasias posresección.

Conclusión

La edad es un factor predisponente para el desarrollo de complicaciones postoperatorias tras resección pulmonar en nuestro medio, si bien otros factores asociados condicionan también la aparición de estas complicaciones.

Palabras clave:
Carcinoma broncogénico
Cirugía
Complicaciones postoperatorias
Texto completo
Introduction

Although bronchogenic carcinoma surgery (and for that matter, lung resections in general) has experienced remarkable development in recent years, it has been the progression of video-assisted surgery that has provided probably the greatest revolution in the field of thoracic surgery since the end of the last century.1 This, along with other technical advances, has meant that we are now able to surgically treat patients who previously would have been ruled out for surgery because of their comorbidities. For instance, age was classically interpreted as a determining factor in the expected morbidity after lung resection and, therefore, in the selection of patients who were candidates for lung surgery. Whereas in the early 1990s it was common practice to dismiss surgical treatment in patients over the age of 70,2,3 today patients between the sixth and eighth decades of life represent the vast majority of the population considered candidate for surgery at our hospitals.4

Given this situation, the Postoperative Complications Group of the Spanish Society of Thoracic Surgery (Group de Complicaciones Postoperatorias de la Sociedad Española de Cirugía Torácica, GCP-SECT) has promoted a study to analyze the current impact of age as a predisposing factor for postoperative complications in the context of lung cancer resections.

Methods

From the period of time between June 1, 2012 and November 30, 2014, the GCP-SECT systematically and prospectively collected data from a total of 3307 patients treated with some type of pulmonary resection due to bronchogenic carcinoma. In this multicenter project, a total of 24 thoracic surgery departments participated, each belonging to a different hospital throughout Spain. The participating hospitals are listed in Addendum A. Data were obtained for the following variables: related with age, sex, patient medical history, surgery conducted and postoperative complications (Table 1). These data were compiled consecutively and anonymously in a computerized database with online internet access, and the information was stored in a Excel file stored by the GCP-SECT. All the participating hospitals have followed the guidelines of the Patient Personal Data Protection Law. These data were stratified according to 3 age groups: 70 years of age or younger (group A), between 70 and 80 years of age (group B) and 80 years of age or older (group C).

Table 1.

Collected Variables.

Patient data  Age
Sex
ECOG
Medical/surgical history (smoking, COPD, tuberculosis, OSA, atelectasis, pneumonitis, ischemic heart disease, atrial fibrillation, valvulopathy, HTN, peripheral vasculopathy, diabetes mellitus, obesity, stroke, myasthenia gravis)
Lung function (FEV1, FVC, DLCO, pO2, pCO2, O2)
Tumor data  Histologic type
TNM stage
Surgery data  Date of procedure
Type of approach
Side
Type of resection
Intraoperative complications (hypoxia, hemorrhage, arrhythmia, rib fracture)
Postoperative dataPostoperative hospitalization
Postoperative complications  Atelectasis, pneumonitis, hemoptysis, reintubation pleural effusion, air leak, arrhythmias, pulmonary edema, myocardial infarction, hemorrhage, bronchopleural fistula, pleural empyema, surgical wound infection, surgical wound dehiscence 

The inclusion criteria of this registry were: patients with a histological diagnosis of bronchogenic carcinoma who had undergone surgery with curative intent at the Thoracic Surgery Departments within Spain, including atypical lung resection, segmentectomy, lobectomy, bilobectomy or pneumonectomy. In order to provide the study with homogeneity, exclusion criteria were: exploratory video-assisted thoracoscopies or thoracotomies, life-saving emergency surgeries and cases with synchronous tumors.

The statistical study was carried out with SPSS 21.0 for Windows. The Student's t test was used for the comparison of numerical variables with other dichotomic categories. The comparison of numerical variables with other categorical variables of more than 2 categories was performed with the single-factor ANOVA test. The comparison of qualitative variables was done with the chi-squared test and the multivariate study with a logistic regression test. A P value <.05 was considered statistically significant.

Results

Included in the study were 3307 patients, 2566 (77.6%) of which were men. The preoperative comorbidity data of the series are shown in Table 2. In the analysis of these data, we have found statistically significant differences in the incidence of previous disease, according to different age groups.

Table 2.

Preoperative Comorbidity of the Series (According to Age Groups).

  Group A
70yrs or less
(n=2261) 
Group B
Between 70 and 80yrs
(n=935) 
Group C
Older than 80yrs
(n=111) 
Total
(n=3307) 
P
(χ2
Percentages
Tobacco habit  86.1  81.3  77.5  84.4  <.0001 
Arterial hypertension  39.5  56.2  55.9  44.7  <.0001 
COPD  25.9  34.7  27.9  28.4  <.0001 
Diabetes mellitus  16.2  23.9  21.6  18.6  <.0001 
Ischemic heart disease  7.0  14.5  9.0  9.2  <.0001 
Peripheral arteriopathy  6.6  11.1  11.7  8.1  <.0001 
Atrial fibrillation  4.5  11.1  14.4  6.7  <.0001 
Obesity  5.7  6.0  2.7  5.7  .366 

Less than one-third of the patients were treated with video-assisted surgery (n=1028; 31.1%). As for laterality, in 1804 cases (54.6%) the tumor was located in the right hemithorax, versus 1503 (45.4%) in the left. The different surgical techniques are shown in Table 3. Although statistically significant differences were found among the different age groups, there was no observed greater tendency of atypical resections in older age groups that would bias the results obtained. As for the pathological/surgical tumor stage, the classification data according to the 2009 TNM classification (7th Edition) of the different cases can be observed in Table 4.

Table 3.

Surgical Techniques, Postoperative Complications and Postoperative Hospital Stay Recorded for This Analysis (Stratified by Age Groups).

  Group A
70yrs or less
(n=2261) 
Group B
Between 70 and 80yrs
(n=935) 
Group C
Older than 80yrs
(n=111) 
Total
(n=3307) 
P
(χ2
Percentage
Surgical techniques
Lobectomy-bilobectomy  78.3  76.8  77.6  77.9  <.0001
Pneumonectomy  10.7  16.2  18.7  12.5 
Typical sublobar  4.3  2.3  1.9  3.6 
Atypical resection  6.7  4.8  1.9 
Postoperative complications
Air leak  9.9  11.9  18.0  10.7  .011 
Arrhythmia  5.4  8.0  10.8  6.3  .003 
Atelectasis  5.2  7.5  3.6  5.8  .024 
Bronchopleural fistula  1.1  1.4  1.2  .406 
Pulmonary edema  1.0  1.2  0.9  1.1  .911 
Pleural empyema  0.8  1.3  0.9  .289 
Wound infections  0.7  0.3  0.9  0.6  .403 
Wound dehiscence  0.4  0.2  0.4  .503 
Postoperative hospital stay
Mean stay in days (95% confidence interval)  7.18 (6.93–7.43)  8.16 (7.62–8.69)  7.34 (6.37–8.32)  7.46  .001 
Table 4.

TNM Categories and Tumor Stages in the Series According to the 2009 TNM Classification (7th Edition).

    Percentage      Percentage 
TTx  1.3  NN0  74.1 
T1A  26.3  N1  13.8 
T1B  16.1  N2  10.2 
T2A  30.2  N3  0.1 
T2B  8.2  MM0  93.4 
T3  13.6  M1A  0.9 
T4  3.1  M1B  1.1 
TNM stageIA  34.3  IIIA12.9 
IB  20.8  IIIB1.1 
IIA  13.7  IV1.9 
IIB  11.2  Complete response0.8 

The most frequent histological types in the series were adenocarcinoma and epidermoid carcinoma. 51% of the resected tumors presented histology for adenocarcinoma, versus 36.6% epidermoid carcinomas. Undifferentiated large-cell carcinoma was 2.9%, and undifferentiated small-cell was 0.9%.

Mean age of the surgically treated patients was 65.4 (standard deviation: 9.7), with a median of 66. Stratified by age groups, 68.4% of the patients belonged to group A, 28.3% of the cases to group B and 3.4% to group C. As for the relationship between patient age and sex, the male population was significantly older than the feminine population (mean age 66.5 vs 61.9; P<.0001).

Some type of postoperative complication was observed in 30.7% of the patients after lung resection. Among those recorded in this study, the most frequent complication (10.7%) was prolonged air leak (defined as a leak persisting beyond the 5th day post-op). In 94.9% of cases, these complications were classified according to the Clavien–Dindo severity score (Table 5).

Table 5.

Distribution of Postoperative Complications According to the Clavien–Dindo Classification (in Number of Cases).

Complication  GradesTotal (No.=3307) n (%) 
  I  II  III  IV  Unclassified   
Prolonged air leak  171  93  42  33  355 (10.7) 
Arrhythmia  15  122  22  19  21  208 (6.3) 
Atelectasis  19  55  77  20  13  191 (5.8) 
Hemorrhage  50  56  121 (3.7) 
Bronchopleural fistula  24  38 (1.2) 
Pulmonary edema  12  10  35 (1.1) 
Pleural empyema  15  31 (0.9) 
Wound infection  12  20 (0.6) 
Wound dehiscence  12 (0.4) 
Myocardial infarction  5 (0.2) 
Total n (%)  217 (21.4)  350 (34.4)  250 (24.6)  84 (8.3)  63 (6.2)  52 (5.1)  1.016 (30.7) 

In this manner, we have analyzed the relationship between these age groups and patient complications (Table 3). We found that, in the cases with air leaks, arrhythmias and postoperative atelectasis, the older age groups presented these complications more frequently. Thus, patients who developed postoperative atelectasis were slightly older than those who did not (66.5 vs 65.4; P=.107). As for prolonged air leak, the patients who presented this complication were significantly older than those who did not (67.2 vs 65.2; P<.0001). Likewise, the patients who developed postoperative arrhythmias showed a significantly older age than those who did not (68.7 vs 65.2; P<.0001). In the case of the remaining complications, we found no age differences or incidence rates according to the previously defined age groups.

We have also studied the possible relationship between patient age and postoperative hospital stay. The correlation between the two variables is low (r=0.064; P<.0001). However, when we evaluated the different postoperative stays by age intergroups, we observed statistically significant differences between patients in group A and group B (P=.001) (Table 3). However, no relationship was found between age and readmission rate (P=.732).

Since the univariate study showed that postoperative atelectasis, arrhythmia and prolonged air leakage were variables related with patient age, we decided to analyze other variables that could be related to these last 3 and could bias the results from a multivariate standpoint. We found that the presence of postoperative atelectasis was associated with the history of COPD, showing statistically significant differences (P=.006), as well as the history of obesity (P=.003). When performing the multivariate analysis, age did not behave as an independent prognostic factor for the development of postoperative atelectasis after lung resection (Table 5).

With regard to prolonged air leakage, the previous existence of COPD (P<.0001) and the type of resection performed (P<.0001) showed a statistical association with this variable. In the multivariate study (Table 6), age and COPD history were shown to be independent prognostic factors for the development of postoperative air leak after resection. Finally, the history of arterial hypertension (P<.0001), peripheral arteriopathy (P=.031), ischemic heart disease (P=.014) and type of lung resection performed (P<.0001) showed an association with the appearance of postoperative arrhythmias. In the multivariate study (Table 6), age, arterial hypertension and type of resection behaved as independent prognostic factors for the development of postoperative arrhythmias.

Table 6.

Multivariate Study of the Appearance of Postoperative Complications According to Patient History.

Variable  Odds ratio  95% confidence interval for odds ratio  P 
Analysis of the appearance of postoperative atelectasis
Age  1.438  (0.520–3.975)  .484 
COPD  1.499  (1.105–2.033)  .009 
Obesity  1.992  (1.220–3.247)  .006 
Analysis of the appearance of postoperative air leaks
Age  1.965  (1.174–3.289)  .010 
COPD  2.016  (1.600–2.545)  <.0001 
Analysis of the appearance of postoperative arrhythmia
Age  2.463  (1.292–4.695)  .006 
Type of resection (pneumonectomy)  3.509  (2.398–5.128)  <.0001 
HTN  1.656  (1.232–2.222)  .001 
Peripheral vascular disease  1.282  (0.814–2.020)  .285 
Ischemic heart disease  1.517  (0.988–2.331)  .057 

The intraoperative mortality of the series was 0.24% (8 patients). Half of the cases were due to vascular accidents (2 patients with uncontrolled rupture of the left pulmonary artery with an intrapericardial approach, one case of ventricular rupture, and one case with rupture of the ascending aortic aneurysm). The rest were due to hemodynamic or respiratory disorders, with no specified cause. The 30-day mortality rate was 2.15%, most frequently caused by postoperative bleeding and respiratory causes (23.9% and 35.2% of these patients, respectively).

Discussion

The prediction of complications and morbidity associated with lung resections provides for better patient selection, which in turn improves results.5,6 Several studies7,8 have analyzed the historic relationship between postoperative morbidity/mortality and patient-dependent factors, such as age or type of resection. Although there are data linking mortality after lung excision with the development of postoperative complications, the role of these and its contribution to this mortality has not yet been well defined.7–9

In this context, our study presents the limitations of multicenter studies. Although the patient selection criteria, surgical techniques practiced and, therefore, the results obtained are comparable, the different characteristics of the populations treated at each hospital, as well as the particularities of each of the participating medical centers, introduce a certain factor of uncertainty in the analysis of the data reflected in the study. On the other hand, other limitations associated with the nature of the study design could be intuited. Nonetheless, although this type of studies presents difficulties in analyzing infrequent events, the high sample size partially compensates for this fact.

Watanabe et al. have described that the appearance of postoperative complications was associated in up to 60% of cases resulting in patient death.7 The importance of establishing this analysis lies in the risk stratification of the patients based on these data, which would provide better adaptation of the procedures to the patient characteristics. Varela et al.10 established that the application of adjusted risk calculation models based on different preoperative variables may be useful in the analysis of cardiorespiratory complications, although they lack the necessary sensitivity and specificity.

Patient age continues to be a predictor for morbidity and mortality after pulmonary resection.11 Jean et al.9 identified age as a risk factor associated with morbidity and mortality after lung resection. Other factors that contributed to the development of complications were the American Society of Anesthesiologists (ASA) classification system for the estimation of anesthetic risk, surgical technique or performance status.9 According to the analysis provided by the American Society of Thoracic Surgeons database, patient age has been a predictor of major complications for pulmonary resections due to bronchogenic carcinoma, as well as mortality, in these patients. By stratifying data for patient older and younger than 65 years of age, the significance disappeared in those under 65, while it remained consistent in those over 65.12

However, although the Bernard et al.8 study finds differences in postoperative complications according to the different age groups above 65 years of age, it includes age in the risk analysis model, as it showed no significance in the multivariate study. For these authors, the etiology of the pulmonary lesion, the type of resection performed and the preoperative FEV1 are the main risk factors related with the postoperative development of complications. Along these lines, Rivo et al.13 demonstrated the usefulness of data mining in the development of surgical risk models, with area-under-the-curve values higher than 80%. They found that age over 70 and cardiovascular comorbidity were preoperative risk factors in patients treated with lung resection for bronchogenic carcinoma. Our study has been able to demonstrate an age-independent association with certain postoperative complications (prolonged air leaks, postoperative arrhythmias). However, other factors, such as history of COPD, arterial hypertension, peripheral arterial disease, ischemic heart disease, or type of lung resection, have also influenced the appearance of postoperative complications. A recent study by the European Society of Thoracic Surgeons rated age as an independent prognostic factor related with the development of cardiopulmonary complications following anatomic lung resection.4

Regarding perioperative mortality, figures below 6% are considered acceptable.14 In a series of 6435 patients, Jean9 reported a perioperative mortality of 1.9%. Hence, the data of our series are within the usual standards (2.15% at 30 days).

Over time, thoracic surgeons have increased the patient age for surgical treatment to the point that, currently, there are different authors who advocate surgery in octogenarian patients as a safe practice, although it does seem that the increase in patient age is a risk factor in terms of survival.15 Other authors believe that these patients should have the same selection criteria, since this factor is not associated with postoperative morbidity after resection.16 In addition, the benefit of the development of video-assisted surgery in elderly patients has been noticeable. Wang17 has published data for the frequency and severity of complications in patients over 70 years of age treated with VATS versus open surgery. In spite of everything, correct patient selection continues to be the cornerstone for lung resection surgery results in elderly patients.18

In conclusion, we can affirm that age is a predisposing factor for the development of postoperative complications after lung resection in our setting, although other associated factors also influence the appearance of these complications. In this context, correct patient selection is essential in order to minimize expected morbidity and mortality after these procedures. Future studies on specific aspects, such as video-assisted thoracoscopic resection, may shed more light on the possibility that selected patients could benefit from surgical treatment with improved expectations for short-term outcomes.

Authorship/Collaborations

The contribution of each of the authors to the study is as follows:

  • Miguel A. Cañizares Carretero: study design, analysis and interpretation of the results, composition of the article, critical review and approval of the final version

  • Eva M. García Fontán: study design, data collection, critical review and approval of the final version

  • Montserrat Blanco Ramos: data collection, critical review and approval of the final version

  • José Soro García: data collection

  • Rommel Carrasco Rodríguez: data collection

  • Emilio Peña González: data collection

  • Antonio Cueto Ladrón de Guevara: study design and data collection

Conflict of Interests

The authors have no conflict of interests to declare regarding the publication of this article.

Addendum A
Participating Studies

  • Hospital Virgen de las Nieves, Granada

  • Hospital Carlos Haya, Malaga

  • Hospital Virgen del Rocío, Seville

  • Hospital Gregorio Marañón, Madrid

  • Hospital Puerta de Hierro, Madrid

  • Hospital La Ribera, Alzira, Valencia

  • Hospital Sagrado Corazón, Barcelona

  • Hospital Josep Trueta, Gerona

  • Hospital General de Asturias, Oviedo

  • Hospital Clínico de Santiago, Santiago de Compostela

  • Hospital Son Espases, Palma de Mallorca

  • Hospital Germans Trías i Pujol, Badalona

  • Hospital Reina Sofía, Córdoba

  • Hospital Ciudad de Jaén, Jaén

  • Hospital General, Albacete

  • Hospital Clínico, Madrid

  • Hospital General, Alicante

  • Hospital General, Valencia

  • Hospital Clinic, Barcelona

  • Hospital Universitario, San Sebastián

  • Hospital Álvaro Cunqueiro, Vigo

  • Hospital Universitario, La Coruña

  • Hospital Virgen Candelaria, Tenerife

  • Hospital La Paz, Madrid

References
[1]
R.J. Ginsberg, L.D. Hill, R.T. Eagan, P. Thomas, C.F. Mountain, J. Deslauriers, et al.
Modern thirty-day operative mortality for surgical resections in lung cancer.
J Thorac Cardiovasc Surg, 86 (1983), pp. 654-658
[2]
A. López Encuentra, M.J. Linares Asensio.
Carcinoma broncogénico.
Pautas de práctica clínica en Neumología (Algoritmos clínicos y procedimientos), pp. 177-185
[3]
G. Varela Simó, J. Toledo.
Pulmonary resection for lung cancer in the elderly.
pp. 160-164
[4]
A. Brunelli, M. Salati, G. Rocco, G. Varela, D. van Raemdonck, H. Decaluwe, ESTS Database Committee, et al.
European risk models for morbidity (EuroLung1) and mortality (EuroLung2) to predict outcome following anatomic lung resections: an analysis from the European Society of Thoracic Surgeons database.
Eur J Cardiothorac Surg, (2016),
[5]
R.J. Pierce, J.M. Copland, K. Sharpe, C.E. Barter.
Preoperative risk evaluation for lung cancer resection: predicted postoperative product as a predictor of surgical mortality.
Am J Respir Crit Care Med, 150 (1994), pp. 947-955
[6]
C. Wyser, P. Stulz, M. Soler, M. Tamm, J. Müller-Brand, J. Habicht, et al.
Prospective evaluation of an algorithm for the functional assessment of lung resection candidates.
Am J Respir Crit Care Med, 159 (1999), pp. 1450-1456
[7]
S. Watanabe, H. Asimura, K. Suzuki, R. Tsuchiya.
Recent results of postoperative mortality for surgical resections in lung cancer.
Ann Thorac Surg, 78 (2004), pp. 999-1002
[8]
A. Bernard, L. Ferrand, O. Hagry, L. Benoit, N. Cheynel, J.P. Favre.
Identification of prognostic factors determining risk groups for lung resection.
Ann Thorac Surg, 70 (2000), pp. 1161-1167
[9]
R.A. Jean, M.R. DeLuzio, A.I. Kraev, G. Wang, D.J. Boffa, F.C. Detterbeck, et al.
Analyzing risk factors for morbidity and mortality after lung resection for lung cancer using the NSQIP database.
J Am Coll Surg, 222 (2016),
992–1000.e1
[10]
G. Varela, N. Novoa, M.F. Jiménez, G. Santos.
Applicability of logistic regression (LR) risk modelling to decision making in lung cancer resection.
Interact Cardiovasc Thorac Surg, 1 (2003), pp. 12-15
[11]
F.G. Fernández, A.S. Kosinski, W. Burfeind, B. Park, M.M. DeCamp, C. Seder, et al.
The Society of Thoracic Surgeons lung cancer resection risk model: higher quality data and superior outcomes.
Ann Thorac Surg, 102 (2016), pp. 370-377
[Epub ahead of print]
[12]
C.W. Seder, C.D. Wright, A.C. Chang, J.M. Han, D. McDonald, B.D. Kozower.
The Society of Thoracic Surgeons General Thoracic Surgery Database update on outcomes and quality.
Ann Thorac Surg, 101 (2016), pp. 1646-1654
[13]
E. Rivo, J. de la Fuente, A. Rivo, E. García-Fontán, M.A. Cañizares, P. Gil.
Cross-industry standard process for data mining is applicable to the lung cancer surgery domain: improving decision making as well as knowledge and quality management.
Clin Transl Oncol, 14 (2012), pp. 73-79
[14]
A. Brunelli, C. Charloux, T. Bolliger, G. Rocco, J.P. Sculier, G. Varela, et al.
ERS/ESTS clinical guidelines on fitness for radical therapy in lung cancer patients (surgery and chemo-radiotherapy).
Eur Respir J, 34 (2009), pp. 17-41
[15]
A.K. Ganti, V. Shostrom, M. Alorabi, W. Zhen, A.S. Marr, K. Trujillo, et al.
Early stage non-small cell lung cancer in octogenarian and older patients: a SEER database analysis.
Clin Lung Cancer, 17 (2016), pp. 285-291
[Epub ahead of print]
[16]
M. Rodriguez, M.T. Gómez-Hernández, N.M. Novoa, J.L. Aranda, M.F. Jiménez, G. Varela.
Morbimortalidad de la resección pulmonar en pacientes octogenarios con cáncer de pulmón.
Arch Bronconeumol, 51 (2015), pp. 219-222
[17]
Y. Wang.
Video-assisted thoracoscopic surgery for non-small cell lung cancer is beneficial to elderly patients.
Int J Clin Exp Med, 8 (2015), pp. 13604-13609
[18]
A. Dell’Amore, M. Monteverde, S. Sanna, G. Caroli, F. Stella, D. Dell’Amore, et al.
Early and long term results of pulmonary resection for non-small cell lung cancer in patients over 75 years of age: a multi-institutional study.
Interact Cardiovasc Thorac Surg, 16 (2013), pp. 250-256

Please cite this article as: Cañizares Carretero M-Á, García Fontán E-M, Blanco Ramos M, Soro García J, Carrasco Rodríguez R, Peña González E, et al. ¿Es la edad un factor predisponente de complicaciones postoperatorias en las resecciones pulmonares por neoplasias pulmonares primarias? Cir Esp. 2017;95:160–166.

Data from this study were partially presented at the 7th National Conference of the Spanish Society of Thoracic Surgery (Sociedad Española de Cirugía Torácica), held in Valencia on May 4–6, 2016.

Copyright © 2017. AEC
Descargar PDF
Opciones de artículo
es en pt

¿Es usted profesional sanitario apto para prescribir o dispensar medicamentos?

Are you a health professional able to prescribe or dispense drugs?

Você é um profissional de saúde habilitado a prescrever ou dispensar medicamentos