P- 26 FIBROSIS FREQUENCY IN A COHORT OF METABOLIC FATTY LIVER DISEASE RISK PATIENTS
Priscila Flores, Débora Soares, Maria Auxiliadora Saad, Guillermo Cocavelarde, Carlos Roberto Junior, Hévila Passos, Raphael Carreiro, Gabriela Machado, Daniele Coutinho, Ana Ester de Paula
Medicina Clínica, Universidade Federal Fluminense, Niteroi, Brazil
Read
143
Timeswas read the article
43
Total PDF
100
Total HTML
Share statistics
array:22 [ "pii" => "S1665268123003162" "issn" => "16652681" "doi" => "10.1016/j.aohep.2023.101213" "estado" => "S300" "fechaPublicacion" => "2024-02-01" "aid" => "101187.26" "copyrightAnyo" => "2023" "documento" => "simple-article" "crossmark" => 0 "subdocumento" => "abs" "cita" => "Ann Hepatol. 2024;29 Supl 1:" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:1 [ "total" => 0 ] "itemSiguiente" => array:17 [ "pii" => "S1665268123003174" "issn" => "16652681" "doi" => "10.1016/j.aohep.2023.101214" "estado" => "S300" "fechaPublicacion" => "2024-02-01" "aid" => "101187.27" "documento" => "simple-article" "crossmark" => 0 "subdocumento" => "abs" "cita" => "Ann Hepatol. 2024;29 Supl 1:" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:1 [ "total" => 0 ] "en" => array:8 [ "idiomaDefecto" => true "titulo" => "P-27 DESCRIPTIVE STUDY ON PATIENTS WITH HEPATOCARCINOMA IN A PUBLIC HOSPITAL 2018-2023" "tienePdf" => "en" "tieneTextoCompleto" => 0 "tieneResumen" => "en" "contieneResumen" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Paula Andrea Huerta, Matías Alberto Salazar, Joaquín Jensen, Alexandra Ginesta" "autores" => array:4 [ 0 => array:2 [ "nombre" => "Paula Andrea" "apellidos" => "Huerta" ] 1 => array:2 [ "nombre" => "Matías Alberto" "apellidos" => "Salazar" ] 2 => array:2 [ "nombre" => "Joaquín" "apellidos" => "Jensen" ] 3 => array:2 [ "nombre" => "Alexandra" "apellidos" => "Ginesta" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S1665268123003174?idApp=UINPBA00004N" "url" => "/16652681/00000029000000S1/v2_202405310451/S1665268123003174/v2_202405310451/en/main.assets" ] "itemAnterior" => array:17 [ "pii" => "S1665268123003150" "issn" => "16652681" "doi" => "10.1016/j.aohep.2023.101212" "estado" => "S300" "fechaPublicacion" => "2024-02-01" "aid" => "101187.25" "documento" => "simple-article" "crossmark" => 0 "subdocumento" => "abs" "cita" => "Ann Hepatol. 2024;29 Supl 1:" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:1 [ "total" => 0 ] "en" => array:8 [ "idiomaDefecto" => true "titulo" => "P- 25 METABOLIC, HISTOLOGICAL AND INFLAMMATORY BENEFITS IN A MURINE MODEL OF ALCOHOLIC STEATOHEPATITIS USING METHYL-GROUP DONOR SUPPLEMENTATION" "tienePdf" => "en" "tieneTextoCompleto" => 0 "tieneResumen" => "en" "contieneResumen" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Carolina Diaz, Angel Omar Vázquez, Rebeca Rosas, Samael Rodriguez, Rebeca Escutia, Marina Galicia, Juan Armendariz, Ana Sandoval" "autores" => array:8 [ 0 => array:2 [ "nombre" => "Carolina" "apellidos" => "Diaz" ] 1 => array:2 [ "nombre" => "Angel Omar" "apellidos" => "Vázquez" ] 2 => array:2 [ "nombre" => "Rebeca" "apellidos" => "Rosas" ] 3 => array:2 [ "nombre" => "Samael" "apellidos" => "Rodriguez" ] 4 => array:2 [ "nombre" => "Rebeca" "apellidos" => "Escutia" ] 5 => array:2 [ "nombre" => "Marina" "apellidos" => "Galicia" ] 6 => array:2 [ "nombre" => "Juan" "apellidos" => "Armendariz" ] 7 => array:2 [ "nombre" => "Ana" "apellidos" => "Sandoval" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S1665268123003150?idApp=UINPBA00004N" "url" => "/16652681/00000029000000S1/v2_202405310451/S1665268123003150/v2_202405310451/en/main.assets" ] "en" => array:10 [ "idiomaDefecto" => true "titulo" => "P- 26 FIBROSIS FREQUENCY IN A COHORT OF METABOLIC FATTY LIVER DISEASE RISK PATIENTS" "tieneTextoCompleto" => true "autores" => array:1 [ 0 => array:3 [ "autoresLista" => "Priscila Flores, Débora Soares, Maria Auxiliadora Saad, Guillermo Cocavelarde, Carlos Roberto, Hévila Passos, Raphael Carreiro, Gabriela Machado, Daniele Coutinho, Ana Ester de Paula" "autores" => array:10 [ 0 => array:2 [ "nombre" => "Priscila" "apellidos" => "Flores" ] 1 => array:2 [ "nombre" => "Débora" "apellidos" => "Soares" ] 2 => array:2 [ "nombre" => "Maria Auxiliadora" "apellidos" => "Saad" ] 3 => array:2 [ "nombre" => "Guillermo" "apellidos" => "Cocavelarde" ] 4 => array:3 [ "nombre" => "Carlos" "apellidos" => "Roberto" "sufijo" => "Junior" ] 5 => array:2 [ "nombre" => "Hévila" "apellidos" => "Passos" ] 6 => array:2 [ "nombre" => "Raphael" "apellidos" => "Carreiro" ] 7 => array:2 [ "nombre" => "Gabriela" "apellidos" => "Machado" ] 8 => array:2 [ "nombre" => "Daniele" "apellidos" => "Coutinho" ] 9 => array:2 [ "nombre" => "Ana Ester" "apellidos" => "de Paula" ] ] "afiliaciones" => array:1 [ 0 => array:2 [ "entidad" => "Medicina Clínica, Universidade Federal Fluminense, Niteroi, Brazil" "identificador" => "aff0001" ] ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><p id="para0005" class="elsevierStylePara elsevierViewall"><elsevierMultimedia ident="utbl0001"></elsevierMultimedia></p></span>" "pdfFichero" => "main.pdf" "tienePdf" => true "tieneResumen" => true "resumen" => array:1 [ "en" => array:2 [ "resumen" => "<span id="abss0001" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0001">Introduction and Objectives</span><p id="spara001" class="elsevierStyleSimplePara elsevierViewall">Metabolic fatty liver disease is the most important cause of chronic liver disease with estimated global prevalence of 25% and a latin America prevalence of about 44%. This study aimed to evaluate frequency of fibrosis in risk patients for metabolic liver disease in tertiary center, stratifying grades and presence of risk factors .</p></span> <span id="abss0002" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0002">Material and Methods</span><p id="spara002" class="elsevierStyleSimplePara elsevierViewall">Cross sectional study after informed consent. Clinical examination, bioimpedance and non invasive approach for fibrosis diagnosis by biomarkers and ultrasonography elastography were performed.</p></span> <span id="abss0003" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0003">Results</span><p id="spara003" class="elsevierStyleSimplePara elsevierViewall">Sixty nine patients were included, with 82% women and median age of 63 years. The BMI median was 31 kg/m². Significative fibrosis was present in 30,4% of patients by ultrasonography elastography. Twenty five percent of patients were classified as indeterminated zone fibrosis by FIB 4 and 8,7% with definitely advanced fibrosis risk by Fib4. APRI test results were, respectively, 18,5% and 2,1 %. Fibrosis risk was not associated to steatosis grade but to body corporal fat percentage and serum ferritin.</p></span> <span id="abss0004" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0004">Conclusions</span><p id="spara004" class="elsevierStyleSimplePara elsevierViewall">Our study evidenced approximately a tier of tertiary hospital patients at risk for metabolic fatty liver disease to have fibrosis using ultrasonography elastography. Biomarkers (FIB4 and APRI tests) had a lower frequency for fibrosis identification. Risk factors for fibrosis identified were body fat corporal percentage and serum ferritin.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abss0001" "titulo" => "Introduction and Objectives" ] 1 => array:2 [ "identificador" => "abss0002" "titulo" => "Material and Methods" ] 2 => array:2 [ "identificador" => "abss0003" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abss0004" "titulo" => "Conclusions" ] ] ] ] "multimedia" => array:1 [ 0 => array:5 [ "identificador" => "utbl0001" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => false "mostrarDisplay" => true "tabla" => array:1 [ "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=""><tbody title="tbody"><tr title="table-row"><a name="en0001"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0002"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Fibrosis absent N 51 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0003"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Fibrosis present N 18 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0004"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">N 69 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0005"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">HAS \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0006"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">84% \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0007"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">83% \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0008"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0009"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">DM/ pré DM \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0010"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">66%/23% \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0011"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">77%/ 11% \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0012"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0013"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Obes \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0014"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">52% \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0015"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">50% \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0016"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0017"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Metabolic syndrome \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0018"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">80% \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0019"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">72% \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0020"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0021"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">GGT \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0022"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">32 (25/45) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0023"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">48,5 (27,5/78) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0024"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0025"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">ALT \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0026"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">20 (15,5/26) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0027"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">25 (19/46) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0028"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">p=0,08 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0029"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">AST \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0030"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">19 (16/23) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0031"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">26 (20/36) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0032"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">p=0,016 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0033"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Vit D \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0034"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">26,9 (24/34) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0035"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">23 (17/28) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0036"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">p=0,06 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0037"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Ferritin \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0038"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">146 (93/242) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0039"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">80 (40/136) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0040"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">p=0,04 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0041"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">% GC \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0042"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">44,6 (38/49) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0043"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">46 (45/49) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0044"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">P=0,02 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0045"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">EHT \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0046"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5,05 (4,6/5,9) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0047"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8,8 (7,6/13,1) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0048"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">- \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0049"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Point SWE \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0050"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0,81 (0,75/0,94) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0051"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1,7 (1,4/2,3) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0052"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">- \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0053"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">2D SWE \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0054"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5,2 (4,1/6,1) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0055"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8,0 (7,8/11) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0056"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">- \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0057"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">CAP \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0058"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">287 (257/327) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0059"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">297 (241/342) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0060"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab3553603.png" ] ] ] ] ] ] ] "idiomaDefecto" => "en" "url" => "/16652681/00000029000000S1/v2_202405310451/S1665268123003162/v2_202405310451/en/main.assets" "Apartado" => null "PDF" => "https://static.elsevier.es/multimedia/16652681/00000029000000S1/v2_202405310451/S1665268123003162/v2_202405310451/en/main.pdf?idApp=UINPBA00004N&text.app=https://www.elsevier.es/" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S1665268123003162?idApp=UINPBA00004N" ]
| Year/Month | Html | Total | |
|---|---|---|---|
| 2024 November | 3 | 0 | 3 |
| 2024 October | 8 | 3 | 11 |
| 2024 September | 13 | 2 | 15 |
| 2024 August | 14 | 5 | 19 |
| 2024 July | 13 | 6 | 19 |
| 2024 June | 11 | 2 | 13 |
| 2024 May | 8 | 3 | 11 |
| 2024 April | 14 | 5 | 19 |
| 2024 March | 16 | 17 | 33 |
