Development and validation of a postoperative pulmonary infection prediction model for patients with primary hepatic carcinoma.

BACKGROUND: There are factors that significantly increase the risk of postoperative pulmonary infections in patients with primary hepatic carcinoma (PHC). Previous reports have shown that over 10% of patients with PHC experience postoperative pulmonary infections. Thus, it is crucial to prioritize the prevention and treatment of postoperative pulmonary infections in patients with PHC. AIM: To identify the risk factors for postoperative pulmonary infection in patients with PHC and develop a prediction model to aid in postoperative management. METHODS: We retrospectively collected data from 505 patients who underwent hepatobiliary surgery between January 2015 and February 2023 in the Department of Hepatobiliary and Pancreaticospleen Surgery. Radiomics data were selected for statistical analysis, and clinical pathological parameters and imaging data were included in the screening database as candidate predictive variables. We then developed a pulmonary infection prediction model using three different models: An artificial neural network model; a random forest model; and a generalized linear regression model. Finally, we evaluated the accuracy and robustness of the prediction model using the receiver operating characteristic curve and decision curve analyses. RESULTS: Among the 505 patients, 86 developed a postoperative pulmonary infection, resulting in an incidence rate of 17.03%. Based on the gray-level co-occurrence matrix, we identified 14 categories of radiomic data for variable screening of pulmonary infection prediction models. Among these, energy, contrast, the sum of squares (SOS), the inverse difference (IND), mean sum (MES), sum variance (SUV), sum entropy (SUE), and entropy were independent risk factors for pulmonary infection after hepatectomy and were listed as candidate variables of machine learning prediction models. The random forest model algorithm, in combination with IND, SOS, MES, SUE, SUV, and entropy, demonstrated the highest prediction efficiency in both the training and internal verification sets, with areas under the curve of 0.823 and 0.801 and a 95% confidence interval of 0.766-0.880 and 0.744-0.858, respectively. The other two types of prediction models had prediction efficiencies between areas under the curve of 0.734 and 0.815 and 95% confidence intervals of 0.677-0.791 and 0.766-0.864, respectively. CONCLUSION: Postoperative pulmonary infection in patients undergoing hepatectomy may be related to risk factors such as IND, SOS, MES, SUE, SUV, energy, and entropy. The prediction model in this study based on diffusion-weighted images, especially the random forest model algorithm, can better predict and estimate the risk of pulmonary infection in patients undergoing hepatectomy, providing valuable guidance for postoperative management.

Personal predictive model based on systemic inflammation markers for estimation of postoperative pancreatic fistula following pancreaticoduodenectomy.

BACKGROUND: Postoperative pancreatic fistula (PF) is a serious life-threatening complication after pancreaticoduodenectomy (PD). Our research aimed to develop a machine learning (ML)-aided model for PF risk stratification. AIM: To develop an ML-aided model for PF risk stratification. METHODS: We retrospectively collected 618 patients who underwent PD from two tertiary medical centers between January 2012 and August 2021. We used an ML algorithm to build predictive models, and subject prediction index, that is, decision curve analysis, area under operating characteristic curve (AUC) and clinical impact curve to assess the predictive efficiency of each model. RESULTS: A total of 29 variables were used to build the ML predictive model. Among them, the best predictive model was random forest classifier (RFC), the AUC was [0.897, 95% confidence interval (CI): 0.370-1.424], while the AUC of the artificial neural network, eXtreme gradient boosting, support vector machine, and decision tree were between 0.726 (95%CI: 0.191-1.261) and 0.882 (95%CI: 0.321-1.443). CONCLUSION: Fluctuating serological inflammatory markers and prognostic nutritional index can be used to predict postoperative PF.

Na(+) Micro-Current Value Detection as a New Modality for Identification of Benign and Malignant Disease in Surgery.

Increase of intracellular positive ions (mainly Na(+)) indicates greater possibility of cell malignancy. The present study investigated the correlation between the Na(+) micro-current value (MCV) and tissue characteristics (normal, benign or malignant). 346 tissue samples have been detected within 30 min after surgical isolation by Na(+) detector. MCV in 102 malignant tumor was significantly higher than that in benign/borderline tumor or normal tissue (33.3 ± 8.9 µA vs. 24.4 ± 8.6 µA and 14.0 ± 4.0 µA, p < 0.001, respectively). MCV in malignant tumor parenchyma was significantly higher than that in the paired paracanceroustissue, normal tissue and surgical margin tissue (33.3 ± 8.9 µA vs. 18.9 ± 4.1, 14.2 ± 4.0 or 15.2 ± 3.3, p < 0.001, respectively). However, the coincidence rate between Na(+) detector and pathological examination was different in tissues from different organs or systems, which was high in pancreas, bile duct system, gastrointestinal system, esophagus, breasts, lungs, nose &throat and thyroids, but poor in urinary tissue. The overall coincidence rate was 83.1% (108/130) between Na(+) detector and pathological examination. The sensitivity and specificity of correct diagnosis by Na(+) detector was 83.3% (70/84) and 82.6% (38/46), respectively. This new modality may have diagnostic potential in complementing frozen examination in differentiating malignant tumor from benign or normal tissue, justifying tumor metastatic scope and confirming surgical margin.

Ischemic preconditioning versus intermittent clamping of portal triad in liver resection: A meta-analysis of randomized controlled trials.

AIM: To compare the clinical outcome of patients undergoing liver resection under ischemic preconditioning (IP) versus intermittent clamping (IC). METHODS: A systematic published work search was conducted to detect randomized controlled trials (RCT) comparing IP and intermittent clamping of the portal triad. A meta-analysis was conducted to estimate postoperative morbidity and mortality, blood loss, transfusion requirement, and liver injury based on the levels of bilirubin, aspartate aminotransferase (AST) and alanine aminotransferase (ALT). Meta-analysis was performed using either the fixed-effects model or random-effects model. RESULTS: Five RCT published between 2006 and 2012 containing a total of 403 patients were eligible for final analysis. Meta-analysis of operative time showed it was lower in the IP group than the IC group with weighted mean difference (WMD) of -18.23 (95% confidence interval (CI), -28.58 to -7.87; P = 0.0006). Meta-analysis of ALT levels indicated lower levels in the IP group on postoperative days 3 and 7 (WMD on day 3: -45.27, 95% CI, -49.92 to -40.62; P < 0.00001; I(2) = 0%; WMD on day 7: -24.33, 95% CI, -28.04 to -20.62; P < 0.00001; I(2) = 0%). Meta-analyses revealed no significant difference in blood loss, transfusion requirement, mortality, morbidity, ischemic duration, hospital stay, AST and bilirubin levels on postoperative days 1, 3 and 7, and ALT levels on postoperative day 1 between IP and IC groups. CONCLUSION: On currently available evidence, IP does not offer a satisfying benefit to patients undergoing hepatic resection. However, they have lower operative time and less liver injury after liver resections.

Clinical characteristics and outcome of hepatocellular carcinoma in children and adolescents.

PURPOSE: Hepatocellular carcinoma (HCC) rarely occurs in children and adolescents and has been reported to be highly hepatitis B related more than 10 years ago. However, after global vaccination for hepatitis B virus (HBV), the characteristics and outcome of pediatric HCC remain undefined. METHODS: Patients with HCC admitted from 2004 to 2010 were retrospectively reviewed in a large tertiary hospital. RESULTS: 45 (1.97 %) pediatric HCC were diagnosed (age ≤18 years), with predominantly male patients (93.3 %). 32 (71.1 %) children were HBV positive, 30 of whom had vertical transmission from their mothers. HBV positivity was associated with liver cirrhosis and portal vein invasion, and thus compromised survival. Advanced disease prevented surgical resection due to large tumor size (>10 cm, 66.7 %), early metastasis (24.4 %), bilateral involvement (57.8 %) and portal vein invasion (46.7 %). The median survival for resectable, transarterial chemotherapy and embolization and untreated patients was 28.6, 4 and 5 months, respectively (p < 0.001). Patients with distal metastasis had significantly poorer survival rate than those without metastasis (p < 0.001). CONCLUSION: Screening of children whose mothers are HBV carriers is important in early detection of pediatric HCC. HBV-associated HCC in pediatric patients, especially in endemic areas, should be detected earlier for more resectability and improvement of surgical prognosis.