{"title":"Phase Angle Predicts Malnutrition Risk and 6-month Mortality in Older Patients with Multimorbidity: A Retrospective Study.","authors":"Tingting Liu, Yao Wang, Yuan Wang, Dong Xia","doi":"10.2147/CIA.S518795","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>This study examined the utility of the phase angle (PhA) in predicting malnutrition risk and 6-month mortality in older patients with multimorbidity.</p><p><strong>Methods: </strong>We conducted a retrospective analysis of 104 hospitalized older adults with multiple chronic conditions. Data on clinical parameters, body composition, and nutritional status (via Nutritional Risk Screening 2002) were analyzed. Pearson's correlation analysis and receiver operating characteristic analysis were used to identify the optimal PhA cutoff for malnutrition risk. Mortality and malnutrition were compared between the low and high PhA groups.</p><p><strong>Results: </strong>PhA was significantly correlated with age, BMI, hemoglobin, albumin, triglycerides, and the extracellular water/total body water ratio (all <i>P</i> < 0.05). The optimal PhA cutoff was 3.15°, which had 62% sensitivity and 79% specificity for malnutrition prediction. Patients in the low PhA group had significantly higher rates of malnutrition (80.85% vs 40.35%, <i>P</i> < 0.05) and mortality (29.79% vs 3.5%, <i>P</i> < 0.05).</p><p><strong>Conclusion: </strong>PhA is a clinically valuable tool for assessing malnutrition risk and predicting mortality in older patients with multimorbidity. It enables early identification and intervention, improving patient outcomes.</p>","PeriodicalId":48841,"journal":{"name":"Clinical Interventions in Aging","volume":"20 ","pages":"895-902"},"PeriodicalIF":3.7000,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12209526/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Interventions in Aging","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/CIA.S518795","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: This study examined the utility of the phase angle (PhA) in predicting malnutrition risk and 6-month mortality in older patients with multimorbidity.
Methods: We conducted a retrospective analysis of 104 hospitalized older adults with multiple chronic conditions. Data on clinical parameters, body composition, and nutritional status (via Nutritional Risk Screening 2002) were analyzed. Pearson's correlation analysis and receiver operating characteristic analysis were used to identify the optimal PhA cutoff for malnutrition risk. Mortality and malnutrition were compared between the low and high PhA groups.
Results: PhA was significantly correlated with age, BMI, hemoglobin, albumin, triglycerides, and the extracellular water/total body water ratio (all P < 0.05). The optimal PhA cutoff was 3.15°, which had 62% sensitivity and 79% specificity for malnutrition prediction. Patients in the low PhA group had significantly higher rates of malnutrition (80.85% vs 40.35%, P < 0.05) and mortality (29.79% vs 3.5%, P < 0.05).
Conclusion: PhA is a clinically valuable tool for assessing malnutrition risk and predicting mortality in older patients with multimorbidity. It enables early identification and intervention, improving patient outcomes.
背景:本研究探讨了相位角(PhA)在预测老年多病患者营养不良风险和6个月死亡率中的应用。方法:我们对104例患有多种慢性疾病的住院老年人进行回顾性分析。对临床参数、身体成分和营养状况(通过2002年营养风险筛查)的数据进行分析。使用Pearson相关分析和受试者工作特征分析来确定营养不良风险的最佳PhA临界值。比较低PhA组和高PhA组的死亡率和营养不良情况。结果:PhA与年龄、BMI、血红蛋白、白蛋白、甘油三酯、细胞外水/全身水比显著相关(均P < 0.05)。最佳PhA临界值为3.15°,预测营养不良的敏感性为62%,特异性为79%。低PhA组患者营养不良发生率(80.85% vs 40.35%, P < 0.05)和病死率(29.79% vs 3.5%, P < 0.05)均显著高于低PhA组。结论:PhA是评估老年多病患者营养不良风险和预测死亡率的一种有临床价值的工具。它有助于早期识别和干预,改善患者的预后。
期刊介绍:
Clinical Interventions in Aging, is an online, peer reviewed, open access journal focusing on concise rapid reporting of original research and reviews in aging. Special attention will be given to papers reporting on actual or potential clinical applications leading to improved prevention or treatment of disease or a greater understanding of pathological processes that result from maladaptive changes in the body associated with aging. This journal is directed at a wide array of scientists, engineers, pharmacists, pharmacologists and clinical specialists wishing to maintain an up to date knowledge of this exciting and emerging field.