The relationship between psoas muscle index, clinical outcomes and long-term mortality in hospitalised older patients: A retrospective and observational cohort study
Australasian Journal on Ageing, cilt.44, sa.3, 2025 (SCI-Expanded, SSCI, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 44 Sayı: 3
- Basım Tarihi: 2025
- Doi Numarası: 10.1111/ajag.70088
- Dergi Adı: Australasian Journal on Ageing
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, Abstracts in Social Gerontology, AgeLine, CINAHL, MEDLINE, Psycinfo
- Anahtar Kelimeler: aged, frailty, mortality, psoas muscle
- Sağlık Bilimleri Üniversitesi Adresli: Evet
Özet
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.