Journal of bodywork and movement therapies · 2025
Handgrip strength as an independent predictor of mortality in chronic kidney disease patients undergoing hemodialysis: A prospective cohort.
СтатьяНаблюдательное исследованиеНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Gomes Brandão Rodrigues Vanessa, Vitor Santos Joyce Noelly, da Silva Lage Vanessa Kelly, Marcelino Martins Inara Caroline, Assis Madeira Elisângela Andrade, Viana Figueiredo Gabriel, Paes Toledo Larissa, Cunha Tamara, Rocha Jéssica Stéfany, Rodrigues Silva Vitória Emanuelli, Lopes Alves Frederico, Mendes Prates Maria Cecília Sales, Barroso Maciel Emílio Henrique, Taiar Redha, Silveira Costa Henrique, Rodrigues Lacerda Ana Cristina, Scheidt Figueiredo Pedro Henrique, Amaral Mendonça Vanessa
Аннотация
BACKGROUND: Patients with end-stage chronic kidney disease (CKD) in hemodialysis treatment present a high index of mortality. Some studies found that mass and muscle strength are predictors of mortality in this population. However, these studies focused on older patients and residents of regions with high socioeconomic levels. Therefore, this study aimed to assess whether handgrip strength (HGS) is an independent predictor of mortality in patients with CKD undergoing hemodialysis in a low-HDI region in Brazil.
METHODS: The prospective observational study was conducted among patients undergoing hemodialysis at a Brazilian public dialysis center, with baseline measurements taken in 2019. Handgrip strength (HGS), clinical, and biochemical parameters were evaluated at baseline.
RESULTS: One hundred fourteen (51.9 years, 38.6 % females) composed the sample. After 36 months of follow-up, approximately 27 % of the patients died. In Cox regression analysis, only HGS (HR: 0.94 [95 % CI 0.90-0.98]; p = 0.004) and age (HR: 1.03 [95 % CI 1.01-1.06]; p = 0.016) were identified as independent predictors of mortality. The HGS ≤28 kg (AUC: 0.71 [95 % CI 0.62-0.79]) in the general population was the optimal cutoff value to predict death in the sample. In the male population, a cutoff value of 24 kg (AUC: [95 % CI 0.53-0.86]) was found, and for the female population, it was 21 kg (AUC: 0.63 [95 % CI 0.46-0.80]).
CONCLUSION: The HGS may provide valuable prognostic information on mortality in patients undergoing hemodialysis in areas with low socioeconomic development indices.
METHODS: The prospective observational study was conducted among patients undergoing hemodialysis at a Brazilian public dialysis center, with baseline measurements taken in 2019. Handgrip strength (HGS), clinical, and biochemical parameters were evaluated at baseline.
RESULTS: One hundred fourteen (51.9 years, 38.6 % females) composed the sample. After 36 months of follow-up, approximately 27 % of the patients died. In Cox regression analysis, only HGS (HR: 0.94 [95 % CI 0.90-0.98]; p = 0.004) and age (HR: 1.03 [95 % CI 1.01-1.06]; p = 0.016) were identified as independent predictors of mortality. The HGS ≤28 kg (AUC: 0.71 [95 % CI 0.62-0.79]) in the general population was the optimal cutoff value to predict death in the sample. In the male population, a cutoff value of 24 kg (AUC: [95 % CI 0.53-0.86]) was found, and for the female population, it was 21 kg (AUC: 0.63 [95 % CI 0.46-0.80]).
CONCLUSION: The HGS may provide valuable prognostic information on mortality in patients undergoing hemodialysis in areas with low socioeconomic development indices.