Nutritional Status Predicts Functional Recovery and Adverse Outcomes in Older Adults: A Prospective Cohort Study DOI Creative Commons
Ludiane Alves do Nascimento, Márlon Juliano Romero Aliberti, Natalia Golin

et al.

Journal of Cachexia Sarcopenia and Muscle, Journal Year: 2025, Volume and Issue: 16(2)

Published: April 1, 2025

ABSTRACT Background Despite the high prevalence of malnutrition in acutely ill older patients, nutritional status is rarely assessed emergency departments (EDs), and impact risk screening on functional recovery poorly understood. This study aimed to investigate association between parameters a range outcomes patients admitted through ED. Methods A prospective cohort was conducted at tertiary hospital, enrolling aged 65 years or November 2021 April 2022. We collected data various patient parameters, including demographics, clinical factors (Charlson Comorbidity Index [CCI], National Early Warning Score 2), (Nutritional Risk Screening 2002; Global Leadership Initiative Malnutrition criteria) geriatric measures (Clinical Frailty Scale, Katz Independence Activities Daily Living [ADL], Lawton Brody Instrumental ADL, PRO‐AGE vulnerability tool). The primary outcome recovery, secondary included nosocomial infection, prolonged length stay (LoS), in‐hospital postdischarge mortality, hospital readmissions up 6 months. Fine–Gray competing risks regression multivariable logistic regressions were employed adjusted for age, sex, education, CCI, status, LoS initial allocation intensive care. Results total 780 (mean age 80 ± 9 years, predominantly male) included, with 32.2% identified as 22.1% diagnosed malnutrition. Patients no had higher significantly months (79% vs. 66%, sub‐HR = 1.28, 95%CI 1.04–1.57, p 0.029), whereas independently associated (13% 2%, OR 4.24, 1.53–11.74, 0.005) (14% 4%, 2.76, 1.17–6.49, 0.02) mortality. Finally, infection (12% 5.43, 2.56–11.5, < 0.001), (56% 22%, 2.79, 1.84–4.22, 0.001) mortality 1.36–5.61, 0.005). Conclusions Nutritional significant predictors identification interventions targeting deficiencies should be explored improve this vulnerable population.

Language: Английский

Nutritional Status Predicts Functional Recovery and Adverse Outcomes in Older Adults: A Prospective Cohort Study DOI Creative Commons
Ludiane Alves do Nascimento, Márlon Juliano Romero Aliberti, Natalia Golin

et al.

Journal of Cachexia Sarcopenia and Muscle, Journal Year: 2025, Volume and Issue: 16(2)

Published: April 1, 2025

ABSTRACT Background Despite the high prevalence of malnutrition in acutely ill older patients, nutritional status is rarely assessed emergency departments (EDs), and impact risk screening on functional recovery poorly understood. This study aimed to investigate association between parameters a range outcomes patients admitted through ED. Methods A prospective cohort was conducted at tertiary hospital, enrolling aged 65 years or November 2021 April 2022. We collected data various patient parameters, including demographics, clinical factors (Charlson Comorbidity Index [CCI], National Early Warning Score 2), (Nutritional Risk Screening 2002; Global Leadership Initiative Malnutrition criteria) geriatric measures (Clinical Frailty Scale, Katz Independence Activities Daily Living [ADL], Lawton Brody Instrumental ADL, PRO‐AGE vulnerability tool). The primary outcome recovery, secondary included nosocomial infection, prolonged length stay (LoS), in‐hospital postdischarge mortality, hospital readmissions up 6 months. Fine–Gray competing risks regression multivariable logistic regressions were employed adjusted for age, sex, education, CCI, status, LoS initial allocation intensive care. Results total 780 (mean age 80 ± 9 years, predominantly male) included, with 32.2% identified as 22.1% diagnosed malnutrition. Patients no had higher significantly months (79% vs. 66%, sub‐HR = 1.28, 95%CI 1.04–1.57, p 0.029), whereas independently associated (13% 2%, OR 4.24, 1.53–11.74, 0.005) (14% 4%, 2.76, 1.17–6.49, 0.02) mortality. Finally, infection (12% 5.43, 2.56–11.5, < 0.001), (56% 22%, 2.79, 1.84–4.22, 0.001) mortality 1.36–5.61, 0.005). Conclusions Nutritional significant predictors identification interventions targeting deficiencies should be explored improve this vulnerable population.

Language: Английский

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