Predictive model for determining LOS after total hip

Editor's Note

In this study, a predictive model that can help identify patients at higher odds for not requiring a prolonged hospital length of stay (LOS) after total hip arthroplasty was developed and validated and a point-based calculator was designed.

The calculator included nine variables: age, opioid use, metabolic equivalents score, gender, anemia, chronic obstructive pulmonary disease, hypertension, obesity, and anesthesia type.

When using a score of 12 as a threshold for predicting outcome, the positive predictive value of the model was 86.1%.

A predictive model that can help identify patients at higher odds for not requiring a prolonged LOS may help hospital administrators to strategically plan bed availability and reduce overcrowding and underutilization when coordinating with surgical volume, the authors say.