Independent effect of fat-to-muscle mass ratio at bioimpedance analysis on long-term survival in patients receiving surgery for pancreatic cancer.

bioimpedance analysis body composition outcomes pancreatic cancer surgical oncology

Journal

Frontiers in nutrition
ISSN: 2296-861X
Titre abrégé: Front Nutr
Pays: Switzerland
ID NLM: 101642264

Informations de publication

Date de publication:
2023
Historique:
received: 07 12 2022
accepted: 05 05 2023
medline: 29 6 2023
pubmed: 29 6 2023
entrez: 29 6 2023
Statut: epublish

Résumé

Malnutrition and alteration of body composition are early features in pancreatic cancer and appear to be predictors of advanced stages and dismal overall survival. Whether specific patient characteristics measured at the preoperative bioimpedance analysis (BIA) could be associated with long-term outcomes following curative resection has not been yet described. In a prospective multicenter study, all histologically proven resected pancreatic cancer patients were included in the analysis. BIA was measured for all patients on the day before surgery. Demographics, perioperative data, and postoperative outcomes were prospectively collected. Patients who experienced 90-day mortality were excluded from the analysis. Survival data were obtained through follow-up visits and phone interviews. Bioimpedance variables were analyzed according to the overall survival using the Kaplan-Meier curves and the univariate and multivariate Cox regression model. Overall, 161 pancreatic cancer patients were included. The median age was 66 (60-74) years, and 27.3% received systemic neoadjuvant treatment. There were 23 (14.3%) patients malnourished in the preoperative evaluation. Median OS was 34.0 (25.7-42.3) months. Several bioimpedance variables were associated with OS at the univariate analysis, namely the phase angle [HR 0.85, 95% CI 0.74-0.98)], standardized phase angle [HR 0.91, 95% CI 0.82-0.99)], and an increased ratio between the fat and lean mass (FM/FFM) [HR 4.27, 95% CI 1.10-16.64)]. At the multivariate analysis, the FM/FFM ratio was a confirmed independent predictor of OS following radical resection, together with a positive lymph nodal status. Alteration of body composition at the preoperative bioimpedance vector analysis (BIVA) can predict dismal oncologic outcomes following pancreatic resection for cancer.

Identifiants

pubmed: 37384108
doi: 10.3389/fnut.2023.1118616
pmc: PMC10298166
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1118616

Informations de copyright

Copyright © 2023 Sandini, Paiella, Cereda, Angrisani, Capretti, Famularo, Giani, Roccamatisi, Fontani, Malleo, Salvia, Roviello, Zerbi, Bassi and Gianotti.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Marta Sandini (M)

Department of Medicine, Surgery and Neurosciences, Unit of General Surgery and Surgical Oncology, University of Siena, Siena, Italy.

Salvatore Paiella (S)

General and Pancreatic Surgery Unit, Pancreas Institute, University of Verona Hospital Trust, Verona, Italy.

Marco Cereda (M)

Department of Surgery, San Gerardo Hospital, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.

Marco Angrisani (M)

Department of General, Hepatobiliary and Pancreatic Surgery, Liver Transplantation Service, San Camillo Forlanini Hospital, Rome, Italy.

Giovanni Capretti (G)

Pancreatic Surgery Unit, Department of Biomedical Sciences, Humanitas Clinical and Research Center-IRCCS Rozzano, Humanitas University, Milan, Italy.

Simone Famularo (S)

Pancreatic Surgery Unit, Department of Biomedical Sciences, Humanitas Clinical and Research Center-IRCCS Rozzano, Humanitas University, Milan, Italy.
Department of Hepatobiliary and General Surgery, Humanitas Clinical and Research Center, Humanitas University, Milan, Italy.

Alessandro Giani (A)

Department of Surgery, San Gerardo Hospital, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.

Linda Roccamatisi (L)

Department of Surgery, San Gerardo Hospital, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.

Andrea Fontani (A)

Department of Medicine, Surgery and Neurosciences, Unit of General Surgery and Surgical Oncology, University of Siena, Siena, Italy.

Giuseppe Malleo (G)

General and Pancreatic Surgery Unit, Pancreas Institute, University of Verona Hospital Trust, Verona, Italy.

Roberto Salvia (R)

General and Pancreatic Surgery Unit, Pancreas Institute, University of Verona Hospital Trust, Verona, Italy.

Franco Roviello (F)

Department of Medicine, Surgery and Neurosciences, Unit of General Surgery and Surgical Oncology, University of Siena, Siena, Italy.

Alessandro Zerbi (A)

Pancreatic Surgery Unit, Department of Biomedical Sciences, Humanitas Clinical and Research Center-IRCCS Rozzano, Humanitas University, Milan, Italy.

Claudio Bassi (C)

General and Pancreatic Surgery Unit, Pancreas Institute, University of Verona Hospital Trust, Verona, Italy.

Luca Gianotti (L)

Department of Surgery, San Gerardo Hospital, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.

Classifications MeSH