Dataset Information

Bioelectrical impedance analysis for predicting postoperative complications and survival after liver resection for hepatocellular carcinoma.

ABSTRACT:

Background

Bioelectrical impedance analysis provides information on body composition and nutritional status. However, it's unclear whether the preoperative edema index or phase angle predicts postoperative complication or mortality in patients with hepatocellular carcinoma (HCC). Thus, we investigated whether preoperative bioelectrical impedance analysis could predict postoperative complications and survival in patients with HCC.

Methods

Seventy-nine patients who underwent hepatectomy for hepatocellular carcinoma were prospectively enrolled and bioelectrical impedance analysis was performed before surgery. Postoperative ascites or acute kidney injury and patients' survival were monitored after surgery.

Results

Among 79 patients, 35 (44.3%) developed ascites or acute kidney injury after hepatectomy. In multivariate analysis, a high preoperative edema index (extracellular water/total body water) (>0.384) (odds ratio 3.96; 95% confidence interval: 1.03-15.17; P=0.045) and higher fluid infusion during surgery (odds ratio 1.36; 95% confidence interval: 1.04-1.79; P=0.026) were identified as significant risk factors for ascites or acute kidney injury after hepatectomy. Subgroup analyses showed that the edema index was a significant predictor of ascites or acute kidney injury in patients with cirrhosis. Tumor size was the only significant predictive factor for short-term survival after hepatectomy.

Conclusions

The preoperative edema index using bioelectrical impedance analysis can be used as a predictor of post-hepatectomy complication, especially in patients with liver cirrhosis.

SUBMITTER: Lee GH

PROVIDER: S-EPMC7940938 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

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Bioelectrical impedance analysis for predicting postoperative complications and survival after liver resection for hepatocellular carcinoma.

Lee Gil Ho GH Cho Hyo Jung HJ Lee Garam G Kim Han Gyeol HG Wang Hee Jung HJ Kim Bong-Wan BW Lee Mi Young MY Yoon So Young SY Noh Choong-Kyun CK Seo Chul Won CW Eun Jung Woo JW Cheong Jae Youn JY Cho Sung Won SW Kim Soon Sun SS

Annals of translational medicine 20210201 3

<h4>Background</h4>Bioelectrical impedance analysis provides information on body composition and nutritional status. However, it's unclear whether the preoperative edema index or phase angle predicts postoperative complication or mortality in patients with hepatocellular carcinoma (HCC). Thus, we investigated whether preoperative bioelectrical impedance analysis could predict postoperative complications and survival in patients with HCC.<h4>Methods</h4>Seventy-nine patients who underwent hepatec ...[more]

PMID: 33708817

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Project description:BackgroundFew studies have focused on the prognosis of patients with hepatocellular carcinoma (HCC) of Barcelona Clinic Liver Cancer (BCLC) stage 0‒C in terms of early recurrence and 5-years overall survival (OS). We sought to develop nomograms for predicting 5-year OS and early recurrence after curative resection of HCC, based on a clinicopathological‒radiological model. We also investigated whether different treatment methods influenced the OS of patients with early recurrence.MethodsRetrospective data, including clinical pathology, radiology, and follow-up data, were collected for 494 patients with HCC who underwent hepatectomy. Nomograms estimating OS and early recurrence were constructed using multivariate Cox regression analysis, based on the random survival forest (RSF) model. We evaluated the discrimination and calibration abilities of the nomograms using concordance indices (C-index), calibration curves, and Kaplan‒Meier curves. OS curves of different treatments for patients who had recurrence within 2 years after curative surgery were depicted and compared using the Kaplan-Meier method and the log-rank test.ResultsMultivariate Cox regression revealed that BCLC stage, non-smooth margin, maximum tumor diameter, age, aspartate aminotransferase levels, microvascular invasion, and differentiation were prognostic factors for OS and were incorporated into the nomogram with good predictive performance in the training (C-index: 0.787) and testing cohorts (C-index: 0.711). A nomogram for recurrence-free survival was also developed based on four prognostic factors (BCLC stage, non-smooth margin, maximum tumor diameter, and microvascular invasion) with good predictive performance in the training (C-index: 0.717) and testing cohorts (C-index: 0.701). In comparison to the BCLC staging system, the C-index (training cohort: 0.787 vs. 0.678, 0.717 vs. 0.675; external cohort 2: 0.748 vs. 0.624, 0.729 vs. 0.587 respectively, for OS and RFS; external cohort1:0.716 vs. 0.627 for RFS, all p value<0.05), and model calibration curves all showed improved performance. Patients who underwent surgery after tumor recurrence had a higher reOS than those who underwent comprehensive treatments and supportive care.ConclusionsThe nomogram, based on clinical, pathological, and radiological factors, demonstrated good accuracy in estimating OS and recurrence, which can guide follow-up and treatment of individual patients. Reoperation may be the best option for patients with recurrence in good condition.

Project description:Background and Objectives: Although complications after liver resection for hepatic cancer are common, the long-term impact of these complications on oncological outcomes remains unclear. This study aimed to investigate the potential effect of high-grade postoperative complications on long-term mortality and cancer recurrence after surgical resection of hepatocellular carcinoma. Materials and Methods: In a retrospective cohort study, patients undergoing curative liver resection for primary hepatocellular carcinoma between 2005 and 2016 were evaluated. The Clavien-Dindo (CD) grading system was used to classify patients into two groups of either high-grade complications (grade III or IV) or none or low-grade complications (grade 0 to II) within 30 days after surgery. The primary endpoint was all-cause mortality. Secondary endpoints were cancer-specific mortality and cancer recurrence. Weighted Cox proportional hazards regression models were used to calculate the adjusted hazard ratio (aHR) with a 95% confidence interval (CI) for the outcomes of interest. Results: A total of 1419 patients with a median follow-up time of 46.6 months were analysed. Among them, 93 (6.6%) developed high-grade complications after surgery. The most common complications were bile leakage (n = 30) in CD grade III and respiratory failure (n = 13) in CD grade IV. High-grade complications were significantly associated with all-cause mortality (aHR: 1.78, 95% CI: 1.55-2.06) and cancer-specific mortality (aHR: 1.34, 95% CI: 1.13-1.60), but not cancer recurrence (aHR: 0.92, 95% CI: 0.84-1.02). Independent influential factors for complications were sex, diabetes mellitus, clinically significant portal hypertension, oesophageal varices, multifocal cancer, intraoperative blood loss, and anaesthesia duration. Conclusions: Patients who had high-grade postoperative complications had a greater risk of long-term mortality after liver resection for hepatocellular carcinoma. Prevention of postoperative complications may serve as an effective strategy for improving long-term survival.

Project description:PurposePrognostic prediction after curative resection of primary hepatocellular carcinoma (PHCC) remains an arduous task. The S-index calculated from γ-glutamyl transpeptidase, albumin, and platelets is reported to predict the severity of liver fibrosis. We constructed a nomogram for predicting the survival probability of PHCC based on a new indicator, the S-index, combined with other routine clinical parameters.Patients and methodsWe selected 490 patients with PHCC postradical surgery at the First Affiliated Hospital of Wenzhou Medical University between January 2007 and January 2014. The subjects were randomly allocated into the training cohort and the validation cohort in the ratio 7:3 by the digital method. Important variables screened by univariate analysis were included in multivariate analysis to obtain independent risk factors for predicting the prognosis of PHCC. The construction of the nomogram was based on Cox proportional hazard regression models. The concordance index (C-index) was used in the nomogram for evaluating the model performance for prognosis. We drew time-dependent receiver operating characteristic curves to compare our model with other staging systems.ResultsThe nomogram based on six independent risk factors after multivariate analyses had good predictive power after radical surgery of PHCC. In the training and validation groups, the C-index of the nomogram was highly consistent for evaluating survival from PHCC. Compared with the traditional scoring system, the areas under time-dependent receiver operating characteristic curves were 0.7382, 0.7293, and 0.7520 for 1-, 3-, and 5-year overall survival, respectively. In summary, the nomogram showed excellent results in terms of prognosis of PHCC.ConclusionBased on the S-index and the other clinical indicators, we developed a precise nomogram that predicts the survival probability of patients with PHCC after radical surgery. This tool can provide effective information for surgeons and patients.

Dataset Information

Bioelectrical impedance analysis for predicting postoperative complications and survival after liver resection for hepatocellular carcinoma.

Background

Methods

Results

Conclusions

Publications

Bioelectrical impedance analysis for predicting postoperative complications and survival after liver resection for hepatocellular carcinoma.

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