RESUMEN
BACKGROUND: To determine whether the short-term benefits associated with an enhanced recovery after surgery programme (ERAS) following pancreaticoduodenectomy (PD) vary with age. METHODS: 830 consecutive patients who underwent PD between January 2009 and March 2019 were divided according to age: elderly (≥75 years) vs. non-elderly patients (<75 years). Within each age group, cohort characteristics and outcomes were compared between patients treated pre- and post-ERAS (ERAS was systematically introduced in December 2012). Univariable and multivariable analysis were then performed, to assess whether ERAS was independently associated with length of hospital stay (LOS). RESULTS: Of the entire cohort, 577 of 830 patients (69.5%) were managed according to an ERAS protocol, and 170 patients (20.5%) were aged ≥75 years old. Patients treated post-ERAS were significantly more comorbid than those pre-ERAS, with a mean Charlson Comorbidity Index of 4.6 vs. 4.1 (p < 0.001) and 6.0 vs. 5.7 (p = 0.039) for the non-elderly and elderly subgroups, respectively. There were significantly fewer medical complications in non-elderly patients treated post-ERAS compared to pre-ERAS (12.4% vs. 22.4%; p = 0.002), but not in elderly patients (23.6% vs. 14.0%; p = 0.203). On multivariable analysis, ERAS was independently associated with reduced LOS in both elderly (14.8% reduction, 95% CI: 0.7-27.0%, p = 0.041) and non-elderly patients (15.6% reduction, 95% CI: 9.2-21.6%, p < 0.001), with the effect size being similar in each group. CONCLUSION: ERAS protocols can be safely applied to patients undergoing pancreaticoduodenectomy irrespective of age. Implementation of an ERAS protocol was associated with a significant reduction in postoperative LOS in both elderly and non-elderly patients, despite higher comorbidity in the post-ERAS period.
Asunto(s)
Recuperación Mejorada Después de la Cirugía , Pancreaticoduodenectomía , Humanos , Persona de Mediana Edad , Anciano , Pancreaticoduodenectomía/efectos adversos , Complicaciones Posoperatorias/etiología , Tiempo de Internación , Pancreatectomía/efectos adversos , Estudios RetrospectivosAsunto(s)
Neoplasias Pulmonares/secundario , Tumores Neuroendocrinos/secundario , Neoplasias del Recto/patología , Antineoplásicos Hormonales/uso terapéutico , Quimioterapia Adyuvante , Humanos , Neoplasias Pulmonares/tratamiento farmacológico , Metástasis Linfática , Masculino , Persona de Mediana Edad , Índice Mitótico , Invasividad Neoplásica , Recurrencia Local de Neoplasia/cirugía , Tumores Neuroendocrinos/diagnóstico , Tumores Neuroendocrinos/tratamiento farmacológico , Tumores Neuroendocrinos/cirugía , Pronóstico , Neoplasias del Recto/diagnóstico , Neoplasias del Recto/tratamiento farmacológico , Neoplasias del Recto/cirugía , Factores de Riesgo , Somatostatina/uso terapéutico , Carga TumoralRESUMEN
AIM: To investigate whether chromosomal instability (CIN) is associated with tumor phenotypes and/or with global genomic status based on MSI (microsatellite instability) and CIMP (CpG island methylator phenotype) in early-onset colorectal cancer (EOCRC). METHODS: Taking as a starting point our previous work in which tumors from 60 EOCRC cases (≤45 years at the time of diagnosis) were analyzed by array comparative genomic hybridization (aCGH), in the present study we performed an unsupervised hierarchical clustering analysis of those aCGH data in order to unveil possible associations between the CIN profile and the clinical features of the tumors. In addition, we evaluated the MSI and the CIMP statuses of the samples with the aim of investigating a possible relationship between copy number alterations (CNAs) and the MSI/CIMP condition in EOCRC. RESULTS: Based on the similarity of the CNAs detected, the unsupervised analysis stratified samples into two main clusters (A, B) and four secondary clusters (A1, A2, B3, B4). The different subgroups showed a certain correspondence with the molecular classification of colorectal cancer (CRC), which enabled us to outline an algorithm to categorize tumors according to their CIMP status. Interestingly, each subcluster showed some distinctive clinicopathological features. But more interestingly, the CIN of each subcluster mainly affected particular chromosomes, allowing us to define chromosomal regions more specifically affected depending on the CIMP/MSI status of the samples. CONCLUSIONS: Our findings may provide a basis for a new form of classifying EOCRC according to the genomic status of the tumors.