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Background and Aim: Clinical work has revealed that hepatectomy for resectable ruptured hepatocellular carcinoma (rHCC) has a relatively high percentage of positive resection margins found in postoperative pathology. It is necessary to evaluate the risk factors associated with R1 resection in patients undergoing hepatectomy for rHCC. Methods: A total of 408 patients with resectable rHCC originating from three centers undergoing surgery from January 2012 to January 2020 were consecutively enrolled in the study to study the prognostic impact of R1 resection using Kaplan–Meier plotting of survival curves. One center with 280 served as the training group, and the other two centers served as the validation group. Multivariate logistic regression analysis screened for variables affecting R1 and developed prediction models, and the models were tested in the validation cohort using the receiver operating characteristic curves (ROC) and calibration curves. Results: The prognosis of rHCC patients with positive cut margins was worse than that of patients with R0 resection. Risk factors for R1 resection were tumor max length (OR = 2.668 [1.161–6.131]), microvascular invasion (MVI) (OR = 3.655 [1.766–7.566]), times of hepatic inflow occlusion (1/0:OR = 2.213 [1.113–4.399]; 2/0:OR = 5.723 [2.010–8.289]) and timing of hepatectomy (OR = 5.284 [2.394–9.661]), using tumor max length, times of HIO, and timing of hepatectomy to construct the nomogram, the area under the curve of the model was 0.810 (0.781–0.842) and 0.782 (0.752–0.805) in the training and validation groups, respectively, and the calibration curve of the model was basically on the 45° line. Conclusions: This study constructs a clinical model to predict R1 resection after hepatectomy for resectable rHCC, which can be used to better plan perioperative strategies for the incidence of R1 resection during hepatectomy. [ABSTRACT FROM AUTHOR]

The impact of currently clinically significant portal hypertension (CSPH) for patients with early-stage HCC after surgery remains controversial. The purpose of this study is to understand the specific effect of CSPH on patients with early-stage (BCLC A stage) HCC after surgery. We collected data from 386 HCC patients treated at two centers from December 2009 to January 2017.224 patients (all treated by hepatectomy) were in BCLC stage A, of which, 122 had no CSPH, and 102 had CSPH. There were 162 patients in BCLC stage B (who underwent surgery, TACE, and conservative treatment). The prognosis of the CSPH and non-CSPH groups in BCLC stage A was compared using the Kaplan-Meier method. We used multivariate Cox regression to analyze prognostic factors in patients in BCLC stage A and compared the prognosis of the two groups with the BCLC stage B group. Among the 224 BCLC stage A patients after surgery, the overall survival (OS) and recurrence-free survival (RFS) of the CSPH group were worse than those of the non-CSPH group (P < 0.001, HR = 2.340[1.554–3.523]; P < 0.001, HR = 2.577[1.676–3.812]) The multivariate Cox proportional hazards model indicated that CSPH was an independent prognostic factor for OS and RFS in BCLC stage A patients. BCLC stage A patients with CSPH treated by hepatectomy had a comparable prognosis to BCLC B stage patients (P = 0.378), and the OS and RFS (P = 0.229; P = 0.077) in the CSPH (BCLC A) group were also comparable to BCLC stage B patients treated with surgery alone. CSPH can affect the surgical prognosis of early-stage (BCLC stage A) HCC. BCLC stage A patients with CSPH have a prognosis comparable to patients with BCLC stage B. An additional stage, such as the BCLC stage A-B, can be considered. [ABSTRACT FROM AUTHOR]

Low anterior resection syndrome (LARS) in patients undergoing low or ultra-low anterior resection (LAR) is a common problem and significantly impacts the quality of life. Patients with an ileostomy after LAR are more likely to develop LARS. However, there hasn't been a model predicting LARS occurrence in these patients. This study aims to construct a nomogram to predict the probability of LARS occurrence in patients with temporary ileostomy and guide preventive strategies before reversal. 168 patients undergoing LAR with ileostomy from one center were enrolled as the training cohort, and 134 patients of the same inclusion criteria from another center were enrolled as the validation cohort. The training cohort was screened for risk factors for major LARS using univariate and multivariate logistic regression. The nomogram was constructed using the filtered variables, the ROC curve was used to describe the model's discrimination, and the calibration was used to describe the accuracy. The optimal cut-off value for stoma closure time was 128 days. Three risk factors were identified using logistic regression analysis: preoperative radiotherapy (OR = 3.038, [95%CI 1.75–5.015], P = 0.005), stoma closure time (OR = 2.298, [95%CI 1.088–4.858], P = 0.029) and pN stage (OR = 1.739, [95%CI 1.235–3.980], P = 0.001). A nomogram was constructed based on these three variables and showed good performance predicting major LARS after stoma reversal. The area under the curve (AUC) was 0.827 in the training group and 0.821 in the validation group; The calibration curve suggested good precision in both groups. This novel nomogram can accurately predict the probability of major LARS occurrence after ileostomy reversal for rectal cancer patients. This model can help screen ileostomy patients with high risks and guide individualized preventive strategies before stoma reversal. [ABSTRACT FROM AUTHOR]