Do patient characteristics and nutrition-related data predict hospital length of stay at admission?
Patient characteristics and recent weight loss are consistent global predictors of hospital length of stay, transfer, and mortality.
= 3199). The median LOS was 6 days (25th and 75th percentile: 4-12). There is robust evidence that LOS is predicted by patient characteristics such as age, affected organs, and comorbidities in all three outcomes. Having lost weight in the last three months led to a longer time to discharge (Hazard Ratio (HR) 0.89; 99.9% Confidence Interval (CI) 0.85-0.93), shorter time to transfer (HR 1.40; 99.9% CI 1.24-1.57) or death (HR 2.34; 99.9% CI 1.86-2.94). The impact of having a dietician and screening patients at admission varied by country. Despite country variability in outcomes and LOS, the factors that predict LOS at admission are consistent globally.
Kiss et al. (Tue,) studied this question.
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