In pancreatic cancer, postoperative complications (POCs) are associated with disease outcomes. The geriatric nutritional risk index (GNRI) is known to predict POCs after pancreatoduodenectomy (PD) or distal pancreatectomy (DP) in patients with hepatobiliary pancreatic tumors, including pancreatic cancer. Through POC occurrence risk, we aimed to determine whether GNRI could predict prognosis in patients who underwent PD or DP for resectable pancreatic cancer. This retrospective study examined 139 patients who underwent radical pancreatectomy for resectable pancreatic cancer at Ehime University. All patients were subjected to nutritional screening using GNRI and were followed up for POC diagnosis and patient outcomes such as overall survival (OS). Patients were divided based on the GNRI value of 99 (Low group: N = 74, GNRI < 99; High group: N = 65, GNRI ≥ 99), which was determined by receiver operating characteristic curve analysis. Multivariate analysis showed that GNRI < 99 was statistically correlated with POCs after curative pancreatic resection (p = 0.02). Univariate and multivariate analyses confirmed that GNRI < 99 was significantly associated with long OS (p = 0.04). GNRI could be a potential prognostic marker for resectable pancreatic cancer after curative pancreatic resection despite being a simple and noninvasive approach.

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Background Incisional hernia (IH) is a common surgical complication, with an incidence of 6–31% following major abdominal surgery. This study aimed to investigate the impact of intramuscular adipose tissue content (IMAC) on the incidence of IH in patients who underwent hepatic resection. Methods Data of 205 patients who underwent open hepatic resection between 2007 and 2019 at Ehime University Hospital were retrospectively analyzed. Patient characteristics, perioperative findings, and body composition were compared between patients with IH and those without IH. The quantity and quality of skeletal muscle, calculated as skeletal muscle index and IMAC, were evaluated using preoperative computerized tomography images. Results Forty (19.5%) patients were diagnosed with IH. The cumulative incidence rates were 15.6% at 1 year and 19.6% at 3 years. On univariate analysis, body mass index, areas of subcutaneous and visceral fat, and IMAC were significantly higher in the IH group than in the non‐IH group (p = 0.0023, 0.0070, 0.0047, and 0.0080, respectively). No significant difference in skeletal muscle index was found between the groups (p = 0.3548). The incidence of diabetes mellitus, intraoperative transfusion, and postoperative wound infection was significantly higher in the IH group than in the non‐IH group (p = 0.0361, 0.0078, and 0.0299, respectively). On multivariate analysis, a high IMAC and wound infection were independent risk factors for IH (adjusted odds ratio, 2.83 and 4.52, respectively; p = 0.0152 and 0.0164, respectively). Conclusion IMAC can predict the incidence of IH in patients undergoing hepatic resection.

Postoperative pancreatic fistula (POPF) are major postoperative complications (POCs) following distal pancreatectomy (DP). Notably, POPF may worsen the prognosis of patients with pancreatic cancer. Previously reported risks for POCs include body mass index, pancreatic texture, and albumin levels. Moreover, the C-reactive protein-to-albumin ratio (CAR) is a valuable parameter for prognostication. On the other hand, POCs sometimes lead to a worse prognosis in several cancer types. Thus, we assumed that CAR could be a risk factor for POPFs. This study investigated whether CAR can predict POPF risk in patients with pancreatic cancer following DP. This retrospective study included 72 patients who underwent DP for pancreatic cancer at Ehime University between January 2009 and August 2022. All patients underwent preoperative CAR screening. Risk factors for POPF were analyzed. POPF were observed in 17 of 72 (23.6%) patients. POPF were significantly associated with a higher CAR (p = 0.001). The receiver operating characteristic curve analysis determined the cutoff value for CAR to be 0.05 (sensitivity: 76.5%, specificity: 88.9%, likelihood ratio: 6.88), indicating an increased POPF risk. Univariate and multivariate analysis revealed that CAR ≥ 0.05 was a statistically independent factor for POPF (p < 0.001, p = 0.013). Therefore, CAR has the potential to predict POPF following DP.

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