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The surgical burden score: a novel continuous metric to predict postoperative complications after hepatectomy for hepatocellular carcinoma.

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HPB : the official journal of the International Hepato Pancreato Biliary Association 📖 저널 OA 4.6% 2025 Vol.27(11) p. 1445-1454
Retraction 확인
출처
PubMed DOI

PICO 자동 추출 (휴리스틱, conf 2/4)

유사 논문
P · Population 대상 환자/모집단
801 patients, complications occurred in 39.
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
[CONCLUSIONS] SBS, a Pythagorean-based metric combining operative time and aBL, accurately predicts complications. The SBS-based model offers strong predictive utility for risk stratification.

Akabane M, Kawashima J, Woldesenbet S, Thammachack R, Cauchy F, Aucejo F, Popescu I, Kitago M, Martel G, Ratti F, Aldrighetti L, Poultsides GA, Imaoka Y, Ruzzenente A, Endo I, Gleisner A, Marques HP, Lam V, Hugh T, Bhimani N, Shen F, Pawlik TM

PubMed ↗ DOI ↗ BibTeX ↓ RIS ↓
📝 환자 설명용 한 줄

[BACKGROUND] No validated model incorporates surgical parameters for complication risk in hepatocellular carcinoma (HCC) resection.

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • p-value p < 0.001
  • p-value p = 0.036
  • 95% CI 1.113-1.365
  • HR 1.231

이 논문을 인용하기

↓ .bib ↓ .ris
APA Akabane M, Kawashima J, et al. (2025). The surgical burden score: a novel continuous metric to predict postoperative complications after hepatectomy for hepatocellular carcinoma.. HPB : the official journal of the International Hepato Pancreato Biliary Association, 27(11), 1445-1454. https://doi.org/10.1016/j.hpb.2025.08.006
MLA Akabane M, et al.. "The surgical burden score: a novel continuous metric to predict postoperative complications after hepatectomy for hepatocellular carcinoma.." HPB : the official journal of the International Hepato Pancreato Biliary Association, vol. 27, no. 11, 2025, pp. 1445-1454.
PMID 40912956
DOI 10.1016/j.hpb.2025.08.006

Abstract

[BACKGROUND] No validated model incorporates surgical parameters for complication risk in hepatocellular carcinoma (HCC) resection. We evaluated a novel Surgical Burden Score (SBS), integrating adjusted blood loss (aBL; mL/kg) and operative time (hours) via a Pythagorean formula, and developed an SBS-based model to predict complications.

[METHODS] Patients undergoing curative-intent hepatectomy for HCC(2000-2023) were identified from an international database. SBS was calculated as SBS=(operative time)+(aBL). Outcomes were any and severe complications (Clavien-Dindo ≥ III). ROC curves and AUCs evaluated performance. A 3:1 training/testing split was used for model development, incorporating SBS plus clinical variables.

[RESULTS] Among 801 patients, complications occurred in 39.1 %, and severe complications in 11.0 %. On multivariable analysis, operative time (HR:1.231; 95%CI:1.113-1.365; p < 0.001) and aBL (HR:1.021; 95%CI:1.002-1.041; p = 0.036) were independent predictors of any complications. SBS(median:6.07 [IQR:4.08-10.07]) outperformed its components (AUC:0.71vs0.67 for operative time and 0.69 for aBL). Stratified SBS groups demonstrated a dose-dependent increase in complications (p < 0.001). The SBS-based model achieved AUCs of 0.73 (training) and 0.76 (testing), outperforming existing models. An online calculator is available (https://makbn.shinyapps.io/SBS_shiny/).

[CONCLUSIONS] SBS, a Pythagorean-based metric combining operative time and aBL, accurately predicts complications. The SBS-based model offers strong predictive utility for risk stratification.

🏷️ 키워드 / MeSH

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