1C-3
ASSOCIATION OF DEPRESSION WITH HOSPITAL LENGTH OF STAY AND 90-DAY READMISSION FOLLOWING TOTAL KNEE ARTHROPLASTY
Method(s): We analyzed cohort data from the population-based California Healthcare Cost and Utilization Project (HCUP) database from 2007-2010 (n=131,634) for primary TKA discharges in adults ages 50+. We evaluated predictors of hospital LOS, the difference in days between date of admission and date of discharge, using negative binomial regression to model effect(s) of covariates of interest on LOS; we also fit a logistic regression model to predict a binary outcome of “long stay” (top 5% of stays). Finally, we used logistic regression to predict odds of 90-day readmission following TKA. We included demographics (age, sex, race/ethnicity, Medicaid insurance as proxy for low income), comorbidities (including depression), and admission year.
Result(s): Median LOS was 3 days, with a mean of 3.4 days (sd=1.7 days). Overall 90-day readmission rate was almost 17%. A depression diagnosis was associated with a significantly longer LOS (1.05 times longer: 95% CI: 1.04-1.06) and odds of 90-day readmission (OR: 1.21 95%CI:1.13-1.29). LOS and odds of readmission increased with age, as high as 1.15 (95% CI: 1.14-1.17) times longer for those over age 80 than the reference category of 50-54 year olds. There was a significantly longer LOS and odds of readmission associated with being Black compared to White (OR: 1.11; 95% CI: 1.10-1.12 for LOS; OR:1.36, 95%CI: 1.10-1.66 for readmission) and being insured with Medicaid compared to other insurance types (OR: 1.22; 95% CI: 1.20-1.24 for LOS; OR:1.39; 95%CI:1.12-1.73 for readmission).
Conclusion(s): Even after controlling for other chronic conditions and non-modifiable covariates, we found significant associations of depression with longer LOS and readmission rates. Promoting care coordination across disciplines for the management of patients’ non-orthopedic comorbidities prior to surgery, particularly in higher risk patients with depression, could have a positive influence on orthopedic surgery outcomes, patient overall well-being, and ultimately healthcare resource utilization.
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