⌘+K

Pulse Explore Communities Researchers Journals

Home Communities Explore

September 20, 2024SurgeryOpen Access

Integrating surgical complexity and nutritional parameters to enhance prediction of postoperative complications in liver resection

Tomoaki Hayakawa Yoshikuni Kawaguchi Kyoji Ito Andrea Campisi Francesco Ardito Satoru Abe Yujiro Nishisoka Akinori Miyata Akihiko Ichida Nobuhisa Akamatsu Junichi Kaneko Felice Giuliante Kiyoshi Hasegawa

View Full Paper

Ask AI

Bookmark

Share

Abstract

In patients undergoing liver resection, postoperative complications remain high. We hypothesized that the incidence of postoperative complications after liver resection would be predicted well by liver resection complexity and nutritional status.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Hayakawa et al. (2024) studied this question.

synapsesocial.com/papers/68e57d2fb6db64358751be00 https://doi.org/10.1016/j.surg.2024.08.021

View Full Paper

Ask AI

Bookmark

Share

Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Machine learning prediction of complications after surgery in cirrhotic patients: Integrating nutritional risk with liver functionOriginal Research · 2026
2Novel and Simple Preoperative Score Predicting Complications After Liver Resection in Noncirrhotic Patientscohort · 2010 · 122 citations
3Individualized Risk Prediction of Medical Postoperative Complications After Oncologic Hepatectomy: A Nomogram-Based Approach2025
4Perioperative Determinants of Postoperative Morbidity After Liver Resection: From Morphofunctional Vulnerability to Inflammatory ResponseCohort Study · 2026
5Probability of Postoperative Complication after Liver Resection: Stratification of Patient Factors, Operative Complexity, and Use of Enhanced Recovery after Surgerycohort · 2021 · 26 citations

More related papers

Incidence, patterns and management of complications (90-day-analysis) after liver surgery – a single center experience with 3177 consecutive hepatic resections2026
PREDICTION OF POSTOPERATIVE COMPLICATIONS BY CLINICAL AND NUTRITIONAL ASSESSMENT1986
Development and internal validation of a machine learning–based model for predicting postoperative complications after primary liver cancer resection2026

More from Surgery

Deep learning using wearable single-lead electrocardiograms for early detection of post-thyroidectomy hypocalcemiaTue,
A Simplified and Effective Thoracoscopic Minimally Invasive Ablation Technique for Lone Atrial Fibrillation: OC-Box Clamping AblationTue,