Ilyas Akkar, Abdullah Enes Ataş, Mustafa Hakan Dogan, Zeynep Iclal Turgut, Merve Yilmaz Kars, Orhan Cicek, Muhammet Cemal Kizilarslanoglu
{"title":"住院老年患者腰肌指数、临床结局和长期死亡率之间的关系:一项回顾性和观察性队列研究","authors":"Ilyas Akkar, Abdullah Enes Ataş, Mustafa Hakan Dogan, Zeynep Iclal Turgut, Merve Yilmaz Kars, Orhan Cicek, Muhammet Cemal Kizilarslanoglu","doi":"10.1111/ajag.70088","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objectives</h3>\n \n <p>This study examined the association between the psoas muscle index (PMI), hospital clinical outcomes and long-term survival in older patients hospitalised in a geriatric ward.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>This retrospective study included 173 patients aged 65 years or older hospitalised in a geriatric ward (August 2020–December 2023). The PMI was measured via abdominal CT and calculated as the psoas muscle area divided by body surface area (mm<sup>2</sup>/m<sup>2</sup>). The post-discharge status of discharged patients was assessed through telephone interviews.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The median age of the patients (58%, female) was 80 years (65–112 years). The median PMI value was significantly lower in patients who died in the hospital than in those who survived (<i>p</i> = .01). In long-term follow-up, median PMI was significantly lower in female patients who died than in survivors (<i>p</i> = .02). In multiple regression analyses, PMI was shown to be independently associated with in-hospital mortality in all study populations and long-term mortality in female patients. In the whole study population, the optimal cut-off value of PMI for predicting in-hospital mortality was ≤407.3 mm<sup>2</sup>/m<sup>2</sup> (<i>p</i> = .02); for females, it was ≤406.5 mm<sup>2</sup>/m<sup>2</sup> (<i>p</i> < .001); for males, it was ≤633.9 mm<sup>2</sup>/m<sup>2</sup> (<i>p</i> = .03). In female patients, the optimal cut-off value of PMI for predicting long-term mortality was ≤406.5 mm<sup>2</sup>/m<sup>2</sup> (<i>p</i> = .02); however, for the whole population and male patients, it was not statistically significant.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>This study demonstrates that low PMI might be related to increases in in-hospital and long-term mortality rates in hospitalised older individuals. The PMI measurement may be a potential marker for predicting mortality in hospitalised older patients.</p>\n </section>\n </div>","PeriodicalId":55431,"journal":{"name":"Australasian Journal on Ageing","volume":"44 3","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The relationship between psoas muscle index, clinical outcomes and long-term mortality in hospitalised older patients: A retrospective and observational cohort study\",\"authors\":\"Ilyas Akkar, Abdullah Enes Ataş, Mustafa Hakan Dogan, Zeynep Iclal Turgut, Merve Yilmaz Kars, Orhan Cicek, Muhammet Cemal Kizilarslanoglu\",\"doi\":\"10.1111/ajag.70088\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objectives</h3>\\n \\n <p>This study examined the association between the psoas muscle index (PMI), hospital clinical outcomes and long-term survival in older patients hospitalised in a geriatric ward.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>This retrospective study included 173 patients aged 65 years or older hospitalised in a geriatric ward (August 2020–December 2023). The PMI was measured via abdominal CT and calculated as the psoas muscle area divided by body surface area (mm<sup>2</sup>/m<sup>2</sup>). The post-discharge status of discharged patients was assessed through telephone interviews.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>The median age of the patients (58%, female) was 80 years (65–112 years). The median PMI value was significantly lower in patients who died in the hospital than in those who survived (<i>p</i> = .01). In long-term follow-up, median PMI was significantly lower in female patients who died than in survivors (<i>p</i> = .02). In multiple regression analyses, PMI was shown to be independently associated with in-hospital mortality in all study populations and long-term mortality in female patients. In the whole study population, the optimal cut-off value of PMI for predicting in-hospital mortality was ≤407.3 mm<sup>2</sup>/m<sup>2</sup> (<i>p</i> = .02); for females, it was ≤406.5 mm<sup>2</sup>/m<sup>2</sup> (<i>p</i> < .001); for males, it was ≤633.9 mm<sup>2</sup>/m<sup>2</sup> (<i>p</i> = .03). In female patients, the optimal cut-off value of PMI for predicting long-term mortality was ≤406.5 mm<sup>2</sup>/m<sup>2</sup> (<i>p</i> = .02); however, for the whole population and male patients, it was not statistically significant.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>This study demonstrates that low PMI might be related to increases in in-hospital and long-term mortality rates in hospitalised older individuals. The PMI measurement may be a potential marker for predicting mortality in hospitalised older patients.</p>\\n </section>\\n </div>\",\"PeriodicalId\":55431,\"journal\":{\"name\":\"Australasian Journal on Ageing\",\"volume\":\"44 3\",\"pages\":\"\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Australasian Journal on Ageing\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/ajag.70088\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"GERIATRICS & GERONTOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Australasian Journal on Ageing","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/ajag.70088","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
The relationship between psoas muscle index, clinical outcomes and long-term mortality in hospitalised older patients: A retrospective and observational cohort study
Objectives
This study examined the association between the psoas muscle index (PMI), hospital clinical outcomes and long-term survival in older patients hospitalised in a geriatric ward.
Methods
This retrospective study included 173 patients aged 65 years or older hospitalised in a geriatric ward (August 2020–December 2023). The PMI was measured via abdominal CT and calculated as the psoas muscle area divided by body surface area (mm2/m2). The post-discharge status of discharged patients was assessed through telephone interviews.
Results
The median age of the patients (58%, female) was 80 years (65–112 years). The median PMI value was significantly lower in patients who died in the hospital than in those who survived (p = .01). In long-term follow-up, median PMI was significantly lower in female patients who died than in survivors (p = .02). In multiple regression analyses, PMI was shown to be independently associated with in-hospital mortality in all study populations and long-term mortality in female patients. In the whole study population, the optimal cut-off value of PMI for predicting in-hospital mortality was ≤407.3 mm2/m2 (p = .02); for females, it was ≤406.5 mm2/m2 (p < .001); for males, it was ≤633.9 mm2/m2 (p = .03). In female patients, the optimal cut-off value of PMI for predicting long-term mortality was ≤406.5 mm2/m2 (p = .02); however, for the whole population and male patients, it was not statistically significant.
Conclusions
This study demonstrates that low PMI might be related to increases in in-hospital and long-term mortality rates in hospitalised older individuals. The PMI measurement may be a potential marker for predicting mortality in hospitalised older patients.
期刊介绍:
Australasian Journal on Ageing is a peer reviewed journal, which publishes original work in any area of gerontology and geriatric medicine. It welcomes international submissions, particularly from authors in the Asia Pacific region.