Usefulness of computed tomography-measured psoas muscle thickness per height for predicting mortality in patients undergoing hemodialysis
Abstract Computed tomography (CT)-measured psoas muscle thickness standardized for height (PMTH) has emerged as a promising predictor of mortality. The study aimed to investigate whether PMTH could accurately predict mortality in patients undergoing hemodialysis. We examined 207 patients (mean age:...
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2021
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oai:doaj.org-article:480a7dd5cced4dc497f7f9087095cf452021-12-02T18:14:08ZUsefulness of computed tomography-measured psoas muscle thickness per height for predicting mortality in patients undergoing hemodialysis10.1038/s41598-021-98613-52045-2322https://doaj.org/article/480a7dd5cced4dc497f7f9087095cf452021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-98613-5https://doaj.org/toc/2045-2322Abstract Computed tomography (CT)-measured psoas muscle thickness standardized for height (PMTH) has emerged as a promising predictor of mortality. The study aimed to investigate whether PMTH could accurately predict mortality in patients undergoing hemodialysis. We examined 207 patients (mean age: 63.1 years; men: 66.2%) undergoing hemodialysis for more than 6 months in hospital affiliated clinic. PMTH was calculated at the L3 vertebra level using CT. Patients were divided according to the PMTH cut-off points: 8.44 mm/m in women and 8.85 mm/m in men; thereafter, they were combined into low and high PMTH groups. PMTH was independently correlated with the simplified creatinine index (β = 0.213, P = 0.021) and geriatric nutritional risk index (β = 0.295, P < 0.0001) in multivariate regression analysis. During a median follow-up of 3.7 (1.8–6.4) years, 76 patients died, including 41 from cardiovascular causes. In the multivariate Cox regression analysis, low PMTH (adjusted hazard ratio, 2.48; 95% confidence interval, 1.36–4.70) was independently associated with an increased risk of all-cause mortality. The addition of binary PMTH groups to the baseline risk model tended to improve net reclassification improvement (0.460, p = 0.060). In conclusion, PMTH may be an indicator of protein energy wasting and a useful tool for predicting mortality in patients undergoing hemodialysis.Takahiro YajimaMaiko AraoKumiko YajimaHiroshi TakahashiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021) |
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Medicine R Science Q Takahiro Yajima Maiko Arao Kumiko Yajima Hiroshi Takahashi Usefulness of computed tomography-measured psoas muscle thickness per height for predicting mortality in patients undergoing hemodialysis |
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Abstract Computed tomography (CT)-measured psoas muscle thickness standardized for height (PMTH) has emerged as a promising predictor of mortality. The study aimed to investigate whether PMTH could accurately predict mortality in patients undergoing hemodialysis. We examined 207 patients (mean age: 63.1 years; men: 66.2%) undergoing hemodialysis for more than 6 months in hospital affiliated clinic. PMTH was calculated at the L3 vertebra level using CT. Patients were divided according to the PMTH cut-off points: 8.44 mm/m in women and 8.85 mm/m in men; thereafter, they were combined into low and high PMTH groups. PMTH was independently correlated with the simplified creatinine index (β = 0.213, P = 0.021) and geriatric nutritional risk index (β = 0.295, P < 0.0001) in multivariate regression analysis. During a median follow-up of 3.7 (1.8–6.4) years, 76 patients died, including 41 from cardiovascular causes. In the multivariate Cox regression analysis, low PMTH (adjusted hazard ratio, 2.48; 95% confidence interval, 1.36–4.70) was independently associated with an increased risk of all-cause mortality. The addition of binary PMTH groups to the baseline risk model tended to improve net reclassification improvement (0.460, p = 0.060). In conclusion, PMTH may be an indicator of protein energy wasting and a useful tool for predicting mortality in patients undergoing hemodialysis. |
format |
article |
author |
Takahiro Yajima Maiko Arao Kumiko Yajima Hiroshi Takahashi |
author_facet |
Takahiro Yajima Maiko Arao Kumiko Yajima Hiroshi Takahashi |
author_sort |
Takahiro Yajima |
title |
Usefulness of computed tomography-measured psoas muscle thickness per height for predicting mortality in patients undergoing hemodialysis |
title_short |
Usefulness of computed tomography-measured psoas muscle thickness per height for predicting mortality in patients undergoing hemodialysis |
title_full |
Usefulness of computed tomography-measured psoas muscle thickness per height for predicting mortality in patients undergoing hemodialysis |
title_fullStr |
Usefulness of computed tomography-measured psoas muscle thickness per height for predicting mortality in patients undergoing hemodialysis |
title_full_unstemmed |
Usefulness of computed tomography-measured psoas muscle thickness per height for predicting mortality in patients undergoing hemodialysis |
title_sort |
usefulness of computed tomography-measured psoas muscle thickness per height for predicting mortality in patients undergoing hemodialysis |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/480a7dd5cced4dc497f7f9087095cf45 |
work_keys_str_mv |
AT takahiroyajima usefulnessofcomputedtomographymeasuredpsoasmusclethicknessperheightforpredictingmortalityinpatientsundergoinghemodialysis AT maikoarao usefulnessofcomputedtomographymeasuredpsoasmusclethicknessperheightforpredictingmortalityinpatientsundergoinghemodialysis AT kumikoyajima usefulnessofcomputedtomographymeasuredpsoasmusclethicknessperheightforpredictingmortalityinpatientsundergoinghemodialysis AT hiroshitakahashi usefulnessofcomputedtomographymeasuredpsoasmusclethicknessperheightforpredictingmortalityinpatientsundergoinghemodialysis |
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1718378449171644416 |