Junli You , Xuepiao Chen , Yu Rong , Sining Pan , Tianxiao Liu , Yubo Xie
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The receiver operating characteristic (ROC) curves, technique for order preference by similarity to ideal solution (TOPSIS), and decision analysis curve (DCA) were used to validate the diagnostic, comprehensive, and predictive performance of 5 tools in frailty, complications, and PLOS.</div></div><div><h3>Results</h3><div>EFS presented moderate consistency with CGA (Kappa = 0.544, <em>P</em> < 0.001), excellent performance in diagnosing frailty (area under the ROC curve (AUC) = 0.881, <em>P</em> < 0.001), and high clinical net benefit within the risk threshold ranging from 0.8 % to 57.44 %. Although EFS had the largest AUC for predicting complications (AUC = 0.612) and PLOS (AUC = 0.642) and showed high clinical net benefit, its predictive performance was poor (AUC < 0.7). The TOPSIS indicated that EFS required optimization in multiple aspects (closeness coefficient (Ci) < 0.8).</div></div><div><h3>Conclusion</h3><div>EFS has excellent diagnostic performance and clinical net benefit for frailty. However, further research is required to identify optimal tools or combine EFS with additional indicators to enhance its comprehensive and predictive performance for complications and PLOS.</div></div>","PeriodicalId":94003,"journal":{"name":"Experimental gerontology","volume":"209 ","pages":"Article 112852"},"PeriodicalIF":4.3000,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application value of different frailty assessment tools in older patients undergoing major abdominal surgery\",\"authors\":\"Junli You , Xuepiao Chen , Yu Rong , Sining Pan , Tianxiao Liu , Yubo Xie\",\"doi\":\"10.1016/j.exger.2025.112852\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Multiple frailty assessment tools are available for clinical practice, but the optimal tool remains unclear. This study aimed to compare the diagnostic performance of frail scale (FS), frailty phenotype (FP),11-item modified frailty index (mFI-11), Edmonton Frail Scale (EFS), and Tilburg Frailty Indicator (TFI) for frailty taking the comprehensive geriatric assessment (CGA) as the gold standard, and their ability to predict 30-day postoperative complications and prolonged length of stay (PLOS).</div></div><div><h3>Methods</h3><div>This study recruited older patients (≥ 65 years) undergoing elective major abdominal surgery. The receiver operating characteristic (ROC) curves, technique for order preference by similarity to ideal solution (TOPSIS), and decision analysis curve (DCA) were used to validate the diagnostic, comprehensive, and predictive performance of 5 tools in frailty, complications, and PLOS.</div></div><div><h3>Results</h3><div>EFS presented moderate consistency with CGA (Kappa = 0.544, <em>P</em> < 0.001), excellent performance in diagnosing frailty (area under the ROC curve (AUC) = 0.881, <em>P</em> < 0.001), and high clinical net benefit within the risk threshold ranging from 0.8 % to 57.44 %. Although EFS had the largest AUC for predicting complications (AUC = 0.612) and PLOS (AUC = 0.642) and showed high clinical net benefit, its predictive performance was poor (AUC < 0.7). The TOPSIS indicated that EFS required optimization in multiple aspects (closeness coefficient (Ci) < 0.8).</div></div><div><h3>Conclusion</h3><div>EFS has excellent diagnostic performance and clinical net benefit for frailty. However, further research is required to identify optimal tools or combine EFS with additional indicators to enhance its comprehensive and predictive performance for complications and PLOS.</div></div>\",\"PeriodicalId\":94003,\"journal\":{\"name\":\"Experimental gerontology\",\"volume\":\"209 \",\"pages\":\"Article 112852\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2025-07-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Experimental gerontology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0531556525001810\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Experimental gerontology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0531556525001810","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
多种虚弱评估工具可用于临床实践,但最佳工具尚不清楚。本研究旨在比较以老年综合评估(CGA)为金标准的虚弱量表(FS)、虚弱表型(FP)、11项修正虚弱指数(mFI-11)、埃德蒙顿虚弱量表(EFS)和蒂尔堡虚弱指标(TFI)对虚弱的诊断性能,以及它们对术后30天并发症和延长住院时间(PLOS)的预测能力。方法本研究招募年龄≥65岁的择期腹部大手术老年患者。采用受试者工作特征(ROC)曲线、理想溶液相似性排序偏好技术(TOPSIS)和决策分析曲线(DCA)来验证5种工具在虚弱、并发症和PLOS方面的诊断、综合和预测性能。结果fs与CGA具有中等一致性(Kappa = 0.544, P <;0.001),在诊断虚弱方面表现优异(ROC曲线下面积(AUC) = 0.881, P <;0.001),在0.8 - 57.44%的风险阈值范围内,临床净获益较高。虽然EFS预测并发症的AUC (AUC = 0.612)和PLOS (AUC = 0.642)最大,且临床净效益较高,但其预测效果较差(AUC <;0.7)。TOPSIS表明,EFS需要在多个方面进行优化(接近系数(Ci) <;0.8)。结论efs对虚弱有较好的诊断价值和临床净效益。然而,需要进一步的研究来确定最佳工具或将EFS与其他指标相结合,以提高其对并发症和PLOS的综合和预测性能。
Application value of different frailty assessment tools in older patients undergoing major abdominal surgery
Background
Multiple frailty assessment tools are available for clinical practice, but the optimal tool remains unclear. This study aimed to compare the diagnostic performance of frail scale (FS), frailty phenotype (FP),11-item modified frailty index (mFI-11), Edmonton Frail Scale (EFS), and Tilburg Frailty Indicator (TFI) for frailty taking the comprehensive geriatric assessment (CGA) as the gold standard, and their ability to predict 30-day postoperative complications and prolonged length of stay (PLOS).
Methods
This study recruited older patients (≥ 65 years) undergoing elective major abdominal surgery. The receiver operating characteristic (ROC) curves, technique for order preference by similarity to ideal solution (TOPSIS), and decision analysis curve (DCA) were used to validate the diagnostic, comprehensive, and predictive performance of 5 tools in frailty, complications, and PLOS.
Results
EFS presented moderate consistency with CGA (Kappa = 0.544, P < 0.001), excellent performance in diagnosing frailty (area under the ROC curve (AUC) = 0.881, P < 0.001), and high clinical net benefit within the risk threshold ranging from 0.8 % to 57.44 %. Although EFS had the largest AUC for predicting complications (AUC = 0.612) and PLOS (AUC = 0.642) and showed high clinical net benefit, its predictive performance was poor (AUC < 0.7). The TOPSIS indicated that EFS required optimization in multiple aspects (closeness coefficient (Ci) < 0.8).
Conclusion
EFS has excellent diagnostic performance and clinical net benefit for frailty. However, further research is required to identify optimal tools or combine EFS with additional indicators to enhance its comprehensive and predictive performance for complications and PLOS.