ObjectiveTo assess whether the geriatric nutritional risk index (GNRI) of elderly patients can be used as an evaluation index for complications after endovascular aneurysm repair (EVAR) of abdominal aortic aneurysm (AAA).MethodsA total of 265 patients with EVAR who received abdominal aortic aneurysm between January 2011 to December 2017 were included in this study from West China Hospital of Sichuan University. All patients included in this study were subrenal arterial AAA. Statistical analysis of clinical data was performed. The value of GNRI in evaluating postoperative complications of EVER patients was evaluated.ResultsOf the 372 patients, 158 were included in the GNRI abnormal group (GNRI≤98), and 214 were included in the normal group (GNRI>98). Univariate analysis showed that the age (P=0.04), drinking (P=0.04), serum albumin level (P<0.001), BMI (P<0.001), GNRI (P=0.004), and stroke (P<0.05) were risk factors that affects postoperative complications of AAA. Multivariate analysis showed that preoperative GNRI [HR=0.687, 95%CI: (0.487, 0.968), P=0.032] abnormality was one of the risk factors affecting postoperative complications of AAA.ConclusionFor patients undergoing endovascular aneurysm repair of abdominal aortic aneurysm, the GNRI is one of the important indicator for predicting postoperative complications.
ObjectiveTo explore the value of geriatric nutritional risk index (GNRI) and sarcopenia on predicting postoperative complications in elderly patients with gastric cancer. MethodsAccording to the inclusion and exclusion criteria, the elderly (aged ≥60 years) patients with gastric cancer underwent radical gastrectomy in the Department of Gastrointestinal Surgery of Xuzhou Central Hospital from January 1, 2017 to December 31, 2021 were retrospectively gathered. The occurrence of postoperative complications (grade 2 or beyond by the Clavien-Dindo classification) was analyzed. The risk factors affecting postoperative complications were analyzed by univariate and multivariate logistic regression analyses to construct the prediction model, then was visualized by drawing a nomogram. The differentiation of the nomogram between the patients with postoperative complications and without postoperative complications was evaluated by the receiver operating characteristic (ROC) curve. The accuracy of the nomogram was evaluated by the calibration curve. Further, the clinical net benefit rate was analyzed by the decision curve analysis (DCA) to evaluate the clinical practicability. ResultsA total of 236 patients were gathered, 97 (41.1%) of whom had postoperative complications during hospitalization. The results of multivariate logistic regression analysis showed that the age, gender, GNRI, sarcopenia, surgical mode, and American Society of Aneshesiologists classification were the factors influencing the postoperative complications (P<0.05). The differentiation of nomogram based on the influencing factors was well, the area under the ROC curve was 0.732. The calibration curve showed that the model prediction curve was close to the ideal curve. The clinical net benefit rate by the DCA was higher when the probability of postoperative complications was 0.18 to 0.72. ConclusionsThe efficiency of nomogram based on GNRI and sarcopenia is well for predicting the occurrence of postoperative complications in elderly patients with gastric cancer. However, the nomogram needs to be further validated by prospective studies and external data.