Predictor Biomarkers of Nonelective Hospital Readmission and Mortality in Malnourished Hospitalized Older Adults

• Published in: The Journal of frailty & aging 2020-10, Vol.9 (4), p.226-231
• Main Authors: Pencina, Karol M, Bhasin, S, Luo, M, Baggs, G. E, Pereira, S. L, Davis, G. J, Deutz, N. E, Travison, T. G
• Format: Article
• Language: English
• Subjects: Age; Amino acids; Biological markers; Biomarkers; Business metrics; Calibration; Care plans; Comorbidity; Death & dying; Dietary minerals; Females; Hormones; Hospitalization; Hospitalized; Hospitals; Malnutrition; Mortality; Older people; Patient Protection & Affordable Care Act 2010-US; Patients; Prospective studies; Quality of care; Readmission; Statistical methods; Statistics
• ISSN: 2260-1341; 2273-4309
• DOI: 10.14283/jfa.2020.10

Background90-day mortality and rehospitalizations are important hospital quality metrics. Biomarkers that predict these outcomes among malnourished hospitalized patients could identify those at risk and help direct care plans.ObjectivesTo identify biomarkers that predict 90-day (primary) and 30-day (secondary) mortality or nonelective rehospitalization.Design and ParticipantsAn analysis of the ability of biomarkers to predict 90- and 30-day mortality and rehospitalization among malnourished hospitalized patients.Setting52 blood biomarkers were measured in 193 participants in NOURISH, a randomized trial that determined the effects of a nutritional supplement on 90-day readmission and death in patients >65 years. Composite outcomes were defined as readmission or death over 90-days or 30-days. Univariate Cox Proportional Hazards models were used to select best predictors of outcomes. Markers with the strongest association were included in multivariate stepwise regression. Final model of hospital readmission or death was derived using stepwise selection.MeasurementsNutritional, inflammatory, hormonal and muscle biomarkers.ResultsMean age was 76 years, 51% were men. In univariate models, 10 biomarkers were significantly associated with 90-day outcomes and 4 biomarkers with 30-day outcomes. In multivariate stepwise selection, glutamate, hydroxyproline, tau-methylhistidine levels, and sex were associated with death and readmission within 90-days. In stepwise selection, age-adjusted model that included sex and these 3 amino-acids demonstrated moderate discriminating ability over 90-days (C-statistic 0.68 (95%CI 0.61, 0.75); age-adjusted model that included sex, hydroxyproline and Charlson Comorbidity Index was predictive of 30-day outcomes (C-statistic 0.76 (95%CI 0.68, 0.85).ConclusionsBaseline glutamate, hydroxyproline, and tau-methylhistidine levels, along with sex and age, predict risk of 90-day mortality and nonelective readmission in malnourished hospitalized older patients. This biomarker set should be further validated in prospective studies and could be useful in prognostication of malnourished hospitalized patients and guiding in-hospital care.