尽管非计划再入院是与重大发病率和经济负担相关的术后结果指标，但目前尚未开发出精确的评估工具来预测非计划再入院。风险分析指数（RAI）可能潜在地可用于帮助改进颅内肿瘤切除术患者非计划再入院的预测。本研究通过使用RAI评估了功能衰弱对颅内肿瘤切除术后30天非计划再入院的预测准确性。数据来自美国外科医师学会-国家外科质量改进计划（ACS-NSQIP）数据库。比较了非计划再入院患者和无非计划再入院患者之间的基线特征、术前临床状况和结果。利用RAI计算了功能衰弱程度。进行了单因素和多因素logistic回归分析，以确定非计划再入院与患者特征之间的独立关联。该队列（N=31,776）的非计划再入院率为10.8%（N= 3,420）。在再入院患者中，有958例需要非计划再手术。非计划再入院患者和非再入院患者之间存在多个显著差异的特征，包括年龄、体质指数（BMI）、合并症和RAI分组（p<0.05）。导致非计划再入院的常见原因包括感染（9.4%）、癫痫发作（6%）和肺栓塞（4%）。可靠预测非计划再入院的患者特征包括年龄、体质指数（BMI）、功能状态、糖尿病、高血压、低钠血症和RAI分数（p<0.05）。功能衰弱状态、低钠血症、白细胞增多症、高血压和血小板增多症是非计划再入院的显著预测因素。RAI是一个可靠的术前功能衰弱指数，用于预测颅内肿瘤切除术后的非计划再入院。利用RAI可以通过识别高风险患者并实施适当的管理指南，减少非计划再入院。版权所有 © 2023 Elsevier Inc. 保留所有权利。

Although unplanned readmission is a postoperative outcome metric associated with significant morbidity and financial burden, precise assessment tools for its prediction are yet to be developed. The Risk Analysis Index (RAI) could potentially be utilized to help improve prediction unplanned readmission in patients undergoing intracranial tumor resection (ITR). Here we evaluate the predictive accuracy of frailty on 30-day unplanned readmission following ITR using the RAI.Data were obtained from the American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP) database. Baseline characteristics, preoperative clinical status, and outcomes were compared between patients with and without unplanned readmission. Frailty was calculated using the RAI. Univariate and multivariate logistic regression analyses were performed to identify independent associations between unplanned readmissions and patient characteristics.The unplanned readmission rate of this cohort (N=31,776) was 10.8% (N= 3,420). Among the readmitted patients, 958 required unplanned reoperation. Multiple characteristics were significantly different between the readmitted and non-readmitted patients, including age, BMI, comorbidities, and RAI groups (p<0.05). Common causes of unplanned readmission included infection (9.4%), seizures (6%), and pulmonary embolism (4%). Patient characteristics identified as reliable predictors of unplanned readmission, included age, body mass index (BMI), functional status, diabetes, hypertension, hyponatremia, and their RAI score (p<0.05). Frail status, hyponatremia, leukocytosis, hypertension, and thrombocytosis were significant predictors of unplanned readmission.The RAI is a reliable pre-operative frailty index for predicting unplanned readmission following ITR. Utilizing the RAI may decrease unplanned readmission thorough identifying high risk patients, and enabling future implementation of appropriate management guidelines.Copyright © 2023 Elsevier Inc. All rights reserved.