2Health Sciences University Diskapi Yildirim Beyazit Research and Training Hospital, Orthopedic and Traumatology Clinic, Ankara, Turkey DOI : 10.31086/tjgeri.2022.276 Introduction: The goal of this study was to identify potential predictors of intensive care unit (ICU) expenses in geriatric patients after hip fracture surgery. The research focused to investigate patient-related characteristics and fracture status markers that contribute to increased ICU and overall costs in geriatric hip fracture surgical patients.
Materials and Method: A retrospective review of patients who had hip fracture surgery and required intensive care was performed between January 1, 2020 and December 31, 2021. Patient variables were collected via hospital information management system including demographics, co-morbidities, length of stay in ICU and hospital, AO/OTA fracture classification and APACHE score. Hospital Invoice Service provided total and daily intensive care treatment charges and costs. The Spearman correlation coefficient was used to show the relationship between some variables and multiple linear regression analysis was used to evaluate the variables that impact the cost.
Results: Intensive care unit expenses constituted 18.92% of the entire cost (1252.46±282.838 TL). APACHE score, Age-adjusted Charlson Comorbidity Index (ACCI), ICU length of stay and hospital length of stay was found statistically significant correlation with ICU expenses (p<0.05). Regression analysis revealed statistically significance with length of hospital stay, fracture score, ASA, APACHE and ACCI (p=0.000) (r2=0.236). When evaluated in a linear regression model, APACHE score (p=0.000), ACCI (p=0.027), and hospital length of stay (p=0.001) were the only statistically significant predictors.
Conclusion: The present study found out that length of hospital stay, APACHE and ACCI can be used as cost drivers that help to predict cost of intensive care for geriatric hip fractures.
Keywords : Hip Fractures; Geriatrics; Intensive Care Units; Health Care Costs