Background This study aims (I) to evaluate whether the Multidimensional Prognostic Index (MPI) score is associated with postoperative outcomes and (II) to develop a prognostic model for individual complication-risk prediction following colorectal cancer (CRC) surgery.Method This is a prospective multicentric cohort study. Consecutive >= 75-year-old candidates for elective CRC surgery were enrolled from October 2017 to August 2019. Patients underwent standardized preoperative geriatric assessment including the MPI. Patients with MPI score > 0.33 were classified as frail. Logistic regression models were employed to evaluate variables associated with major postoperative complications and mortality, using 10-fold cross-validated LASSO (least absolute shrinkage and selection operator) for model selection.Results In all, 104 patients were included, 34 (33%) had MPI score > 0.33. Major postoperative complications occurred in 52% of frail versus 16% of fit (MPI score <= 0.33) patients (p < .01). Both 30-day (9% vs. 0%; p = .033) and 90-day mortality (18% vs. 1%; p < .01) were higher among frail patients. In multivariate analysis, MPI score was associated with adverse outcomes. A final postoperative complication predictive model was created, including MPI score, gait-speed test, ASA (American Society of Anesthesiology) score, surgical approach, and stoma creation.Conclusion MPI score is strongly associated with postoperative major complications in CRC elderly patients and it is a primary component of an individual prediction model.

Multidimensional Prognostic Index (MPI) score has the major impact on outcome prediction in elderly surgical patients with colorectal cancer: The FRAGIS study

Pata, Giacomo;Bianchetti, Luca;Rota, Matteo;Marengoni, Alessandra;Chiesa, Deborah;Colombi, Marta;Romanelli, Giuseppe;Calza, Stefano;Fumagalli Romario, Uberto
2021-01-01

Abstract

Background This study aims (I) to evaluate whether the Multidimensional Prognostic Index (MPI) score is associated with postoperative outcomes and (II) to develop a prognostic model for individual complication-risk prediction following colorectal cancer (CRC) surgery.Method This is a prospective multicentric cohort study. Consecutive >= 75-year-old candidates for elective CRC surgery were enrolled from October 2017 to August 2019. Patients underwent standardized preoperative geriatric assessment including the MPI. Patients with MPI score > 0.33 were classified as frail. Logistic regression models were employed to evaluate variables associated with major postoperative complications and mortality, using 10-fold cross-validated LASSO (least absolute shrinkage and selection operator) for model selection.Results In all, 104 patients were included, 34 (33%) had MPI score > 0.33. Major postoperative complications occurred in 52% of frail versus 16% of fit (MPI score <= 0.33) patients (p < .01). Both 30-day (9% vs. 0%; p = .033) and 90-day mortality (18% vs. 1%; p < .01) were higher among frail patients. In multivariate analysis, MPI score was associated with adverse outcomes. A final postoperative complication predictive model was created, including MPI score, gait-speed test, ASA (American Society of Anesthesiology) score, surgical approach, and stoma creation.Conclusion MPI score is strongly associated with postoperative major complications in CRC elderly patients and it is a primary component of an individual prediction model.
File in questo prodotto:
File Dimensione Formato  
Pata et al J Surg Oncol. 2021 123 (2) 667–675.pdf

gestori archivio

Descrizione: full text Wiley
Tipologia: Full Text
Licenza: NON PUBBLICO - Accesso privato/ristretto
Dimensione 838.46 kB
Formato Adobe PDF
838.46 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/538289
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? 7
  • Scopus 17
  • ???jsp.display-item.citation.isi??? 16
social impact