Assessment of volume status and volume responsiveness in the ICU: Protocol for an observational, multicentre cohort study

2019 ◽  
Vol 63 (8) ◽  
pp. 1102-1108 ◽  
Author(s):  
Luis F. Schulz ◽  
Guillaume Geri ◽  
Antoine Vieillard‐Baron ◽  
Philippe Vignon ◽  
Geoffrey Parkin ◽  
...  
Keyword(s):  
Cohort Study ◽  
Volume Status ◽  
Volume Responsiveness ◽  
Multicentre Cohort Study ◽  
Multicentre Cohort

Association between Frailty and 90-Day Outcomes amongst the Chinese Population: A Hospital-Based Multicentre Cohort Study

Gerontology ◽  
2021 ◽  
pp. 1-9
Author(s):  
Jing Jiao ◽  
Na Guo ◽  
Lingli Xie ◽  
Qiaoyan Ying ◽  
Chen Zhu ◽  
...  
Keyword(s):  
Cohort Study ◽  
Adverse Outcomes ◽  
Hospital Ward ◽  
Adverse Health Outcomes ◽  
Multicentre Cohort Study ◽  
Older Inpatients ◽  
Ward Clustering ◽  
Clustering Effect ◽  
The Relationship ◽  
Multicentre Cohort

<b><i>Introduction:</i></b> Frailty has gained increasing attention as it is by far the most prevalent geriatric condition amongst older patients which heavily impacts chronic health status. However, the relationship between frailty and adverse health outcomes in China is far from clear. This study explored the relation between frailty and a panel of adverse health outcomes. <b><i>Methods:</i></b> We performed a multicentre cohort study of older inpatients at 6 large hospitals in China, with two-stage cluster sampling, from October 2018 to April 2019. Frailty was measured according to the FRAIL scale and categorized into robust, pre-frail, and frail. A multivariable logistic regression model and multilevel multivariable negative binomial regression model were used to analyse the relationship between frailty and adverse outcomes. Outcomes were length of hospitalization, as well as falls, readmission, and mortality at 30 and 90 days after enrolment. All regression models were adjusted for age, sex, BMI, surgery, and hospital ward. <b><i>Results:</i></b> We included 9,996 inpatients (median age 72 years and 57.8% male). The overall mortality at 30 and 90 days was 1.23 and 1.88%, respectively. At 30 days, frailty was an independent predictor of falls (odds ratio [OR] 3.19; 95% CI 1.59–6.38), readmission (OR 1.45; 95% CI 1.25–1.67), and mortality (OR 3.54; 95% confidence interval [CI] 2.10–5.96), adjusted for age, sex, BMI, surgery, and hospital ward clustering effect. At 90 days, frailty had a strong predictive effect on falls (OR 2.10; 95% CI 1.09–4.01), readmission (OR 1.38; 95% CI 1.21–1.57), and mortality (OR 6.50; 95% CI 4.00–7.97), adjusted for age, sex, BMI, surgery, and hospital ward clustering effect. There seemed to be a dose-response association between frailty categories and fall or mortality, except for readmission. <b><i>Conclusions:</i></b> Frailty is closely related to falls, readmission, and mortality at 30 or 90 days. Early identification and intervention for frailty amongst older inpatients should be conducted to prevent adverse outcomes.

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