ArticlePeerJ2024
Phase angle as a predictor of mortality in elderly patients with multimorbidity: a matched case-control study.
Article in PeerJ, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Association between segmental and whole-body phase angle from bioelectrical impedance analysis and the physical function in community-dwelling older adults.Scientific reports · 2026Article
- A systematic review of the association between phase angle and cognitive function among older adults.GeroScience · 2026Review
- Association of SARC-F with muscle mass, strength, and quality derived from bioelectrical impedance spectroscopy for sarcopenia assessment.Scientific reports · 2025Article
- Phase angle as a predictor of prolonged length of hospital stay and adverse outcomes in elderly medical inpatients: a retrospective cohort study.Frontiers in nutrition · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: We aimed to investigate the value of phase angle (PhA) as a prognostic marker for mortality in elderly patients with multimorbidity using a matched case-control study. Methods: This study was conducted with patients 70 years of age or older with multimorbidity at Beijing Geriatric Hospital. The body composition parameters including PhA were determined using bioelectrical impedance analysis. Common hematological indices were determined using blood tests. The outcome was mortality 1 year after admission. A multivariate logistic regression analysis was employed to identify independent risk factors for death. A receiver-operating characteristic (ROC) curve analysis was used to evaluate the performance of risk factors in predicting death. Results: A total of 30 deceased patients were included in the death group. The living patients were matched 1:1 with the deceased patients in age, gender, and Cumulative Illness Rating Scale-Geriatric score to generate a survival group of 30. The death group exhibited higher levels of blood urea nitrogen and extracellular water to total body water ratio and lower levels of PhA and prealbumin than the survival group. The multivariate logistic regression analysis identified PhA as the only independent risk factor for mortality (OR = 3.296, 95% CI [1.201-9.044], Conclusion: PhA serves as a good prognostic marker for mortality in elderly patients with multimorbidity.
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