Low preoperative psoas muscle mass index is a risk factor for distal cholangiocarcinoma recurrence after pancreatoduodenectomy: a retrospective analysis

Body composition as a prognostic factor in cholangiocarcinoma: a meta-analysis

This investigation seeks to scrutinize the relationships between body composition metrics and the clinical outcomes observed in patients with cholangiocarcinoma (CCA). A comprehensive exploration was conducted across three prominent online databases: Embase, PubMed, and the Cochrane Library. This endeavor spanned the entirety of each database up to the cutoff date of September 29, 2023. To evaluate the quality of the included studies, the Newcastle-Ottawa scale was employed. This comprehensive analysis included a total of 26 articles with a combined patient cohort of 4398 individuals. The results demonstrated that CCA patients with low skeletal muscle index (SMI) had significantly inferior OS (HR: 1.93, p < 0.001) and RFS (HR: 2.02, p < 0.001), as well as a higher incidence of postoperative complications (OR: 1.69, 95% CI: 1.20-2.38, p < 0.001) compared to those with high SMI. The presence of sarcopenia in CCA patients was significantly related to poorer OS (HR: 1.96, p < 0.001) and RFS (HR: 2.05, p < 0.001), and a higher rate of postoperative complications (OR: 1.39, p = 0.049) in comparison to those without sarcopenia. Moreover, lower psoas muscle index (PMI) and myosteatosis were associated with shorter OS (PMI, HR: 1.56, p < 0.001; myosteatosis, HR: 1.49, p = 0.001) and RFS (PMI, HR: 2.16, p < 0.001; myosteatosis, HR: 1.35, p = 0.023). Our findings highlight incorporating body composition screening into clinical practice can help develop treatment strategies and optimize perioperative care, potentially improving patient outcomes.

A nomogram incorporating Psoas muscle index for predicting tumor recurrence after liver transplantation: A retrospective study in an Eastern Asian population

Background and aims

Tumor recurrence significantly affects the prognostic outcomes for liver cancer patients following liver transplantation. However, existing predictive models often neglect the inclusion of body composition indicators. Hence, this research aimed to investigate the significance of the psoas muscle index (PMI) in evaluating the post-transplant prognosis of liver cancer.

Methods

A retrospective analysis was conducted on liver cancer patients who underwent liver transplantation surgery. Imaging analysis was performed using CT data to calculate PMI based on the left and right psoas muscle areas. Subsequently, the patients were categorized into PMI-Low and PMI-High groups using the established cut-off values. Univariate and multivariate analyses were performed using Cox proportional hazards regression to assess the correlation between PMI and clinical outcomes, and a nomogram was constructed accordingly.

Results

Among the 225 patients included in the analysis, the PMI-High group exhibited significantly improved overall survival (P < 0.001) and disease-free survival (DFS, P < 0.001) rates compared to the PMI-Low group. PMI exhibited a positive correlation with body mass index (R = 0.25, P < 0.001), but no significant correlations were observed. In the multivariate analysis, PMI (HR = 4.596, P < 0.001), MELD score (HR = 1.591, P = 0.038), and Hangzhou criteria (HR = 2.557, P < 0.001) emerged as significant predictors of DFS. The constructed nomogram, incorporating these predictors, demonstrated outstanding predictive performance. Decision curve analysis revealed the superiority of the nomogram over conventional methods.

Conclusions

PMI serves as a valuable prognostic factor for tumor recurrence in liver cancer patients after liver transplantation. The established nomogram is pivotal in delivering personalized predictions of DFS.

Preoperative risk factors for skeletal muscle mass loss in patients with biliary tract cancer

BACKGROUND

Endoscopic retrograde cholangiography (ERC)-related procedures, usually performed before biliary tract cancer (BTC) surgery, are associated with increased risk for various complications, which can cause sarcopenia. No study has previously elucidated the relationship between preoperative ERC-related procedures and sarcopenia/skeletal muscle mass loss.

METHODS

Patients with BTC who underwent radical surgical resection following ERC-related procedures were included. Skeletal muscle mass was evaluated using the psoas muscle mass index (PMI), which was determined using computed tomography images, and the change in PMI before the initial pre-ERC and surgery (ΔPMI) was calculated. Risk factors for advanced skeletal muscle mass loss, defined as a large ΔPMI, were evaluated.

RESULTS

The study cohort included 90 patients with a median age of 72 (interquartile range, 65-75) years. The median PMI pre-ERC and surgery was 4.40 and 4.15 cm2/m2, respectively (p < .01). The median ΔPMI was -6.2% (interquartile range, -10.9% to 0.5%). By multivariate analysis, post-ERC pancreatitis and cholangitis before surgery were independent predictive factors for large PMI loss (odds ratio, 4.57 and 3.18, respectively; p = .03 and p = .02, respectively).

CONCLUSIONS

Skeletal muscle mass decreases preoperatively in most patients with BTC undergoing ERC. Post-ERC pancreatitis and cholangitis before surgery were independent risk factors for large skeletal muscle mass loss.

Sarcopenia adversely impacts clinical outcomes in patients undergoing pancreaticoduodenectomy: A systematic review and meta-analysis

BACKGROUND

Sarcopenia is a syndrome marked by a gradual and widespread reduction in skeletal muscle mass and strength, as well as a decline in functional ability, which is associated with malnutrition, hormonal changes, chronic inflammation, disturbance of intestinal flora, and exercise quality. Pancreatoduodenectomy is a commonly employed clinical intervention for conditions such as pancreatic head cancer, ampulla of Vater cancer, and cholangiocarcinoma, among others, with a notably high rate of postoperative complications. Sarcopenia is frequent in patients undergoing pancreatoduodenectomy. However, data regarding the effects of sarcopenia in patients undergoing pancreaticoduodenectomy (PD) are both limited and inconsistent.

AIM

To assess the influence of sarcopenia on outcomes in patients undergoing PD.

METHODS

The PubMed, Cochrane Library, Web of Science, and Embase databases were screened for studies published from the time of database inception to June 2023 that described the effects of sarcopenia on the outcomes and complications of PD. Two researchers independently assessed the quality of the data extracted from the studies that met the inclusion criteria. Meta-analysis using RevMan 5.3.5 and Stata 14.0 software was conducted. Forest and funnel plots were used, respectively, to demonstrate the outcomes of the sarcopenia group vs the non-sarcopenia group after PD and to evaluate potential publication bias.

RESULTS

Sixteen studies encompassing 2381 patients were included in the meta-analysis. The patients in the sarcopenia group (n = 833) had higher overall postoperative complication rates [odds ratio (OR) = 3.42, 95% confidence interval (CI): 1.95-5.99, P < 0.0001], higher Clavien-Dindo class ≥ III major complication rates (OR = 1.41, 95%CI: 1.04-1.90, P = 0.03), higher bacteremia rates (OR = 4.46, 95%CI: 1.42-13.98, P = 0.01), higher pneumonia rates (OR = 2.10, 95%CI: 1.34-3.27, P = 0.001), higher pancreatic fistula rates (OR = 1.42, 95%CI: 1.12-1.79, P = 0.003), longer hospital stays (OR = 2.86, 95%CI: 0.44-5.28, P = 0.02), higher mortality rates (OR = 3.17, 95%CI: 1.55-6.50, P = 0.002), and worse overall survival (hazard ratio = 2.81, 95%CI: 1.45-5.45, P = 0.002) than those in the non-sarcopenia group (n = 1548). However, no significant inter-group differences were observed regarding wound infections, urinary tract infections, biliary fistulas, or postoperative digestive bleeding.

CONCLUSION

Sarcopenia is a common comorbidity in patients undergoing PD. Patients with preoperative sarcopenia have increased rates of complications and mortality, in addition to a poorer overall survival rate and longer hospital stays after PD.

Analysis of factors affecting intraoperative hemorrhage during percutaneous nephrolithotomy and establishment of nomogram model

Intraoperative hemorrhage is an important factor affecting intraoperative safety and postoperative patient recovery in percutaneous nephrolithotomy (PCNL). This study aimed to identify the factors that influence intraoperative hemorrhage during PCNL and develop a predictive nomogram model based on these factors.A total of 118 patients who underwent PCNL at the Department of Urology, The Affiliated Huai'an No.1 People's Hospital of Nanjing Medical University from January 2021 to September 2023 was included in this study. The patients were divided into a hemorrhage group (58 cases) and a control group (60 cases) based on the decrease in hemoglobin levels after surgery. The clinical data of all patients were collected, and both univariate analysis and multivariate logistic regression analysis were conducted to identify the independent risk factors for intraoperative hemorrhage during PCNL. The independent risk factors were used to construct a nomogram model using R software. Additionally, receiver operating characteristic (ROC) curves, calibration curves and decision curve analysis (DCA) were utilized to evaluate the model.Multivariate logistic regression analysis revealed that diabetes, long operation time and low psoas muscle mass index (PMI) were independent risk factors for intraoperative hemorrhage during PCNL (P < 0.05). A nomogram model was developed incorporating these factors, and the areas under the ROC curve (AUCs) in the training set and validation set were 0.740 (95% CI: 0.637-0.843) and 0.742 (95% CI: 0.554-0.931), respectively. The calibration curve and Hosmer-Lemeshow test (P = 0.719) of the model proved that the model was well fitted and calibrated. The results of the DCA showed that the model had high value for clinical application.Diabetes, long operation time and low PMI were found to be independent risk factors for intraoperative hemorrhage during PCNL. The nomogram model based on these factors can be used to predict the risk of intraoperative hemorrhage, which is beneficial for perioperative intervention in high-risk groups to improve the safety of surgery and reduce the incidence of postoperative complications.