Use of the Shizuoka Hip Fracture Prognostic Score (SHiPS) to Predict Long-Term Mortality in Patients With Hip Fracture in Japan: A Cohort Study Using the Shizuoka Kokuho Database

Emi Ohata; Eiji Nakatani; Hideaki Kaneda; Yoh Fujimoto; Kiyoshi Tanaka; Akira Takagi

doi:10.1002/jbm4.10743

Use of the Shizuoka Hip Fracture Prognostic Score (SHiPS) to Predict Long-Term Mortality in Patients With Hip Fracture in Japan: A Cohort Study Using the Shizuoka Kokuho Database

JBMR Plus. 2023 Apr 5;7(6):e10743. doi: 10.1002/jbm4.10743. eCollection 2023 Jun.

Authors

Emi Ohata^{1

2}, Eiji Nakatani¹, Hideaki Kaneda³, Yoh Fujimoto^{1

4}, Kiyoshi Tanaka^{5

6}, Akira Takagi^{1

7}

Affiliations

¹ Graduate School of Public Health Shizuoka Graduate University of Public Health Shizuoka Japan.
² 4DIN Ltd Tokyo Japan.
³ Translational Research Center for Medical Innovation, Foundation for Biomedical Research and Innovation at Kobe Kobe Japan.
⁴ Department of Pediatric Orthopedics Shizuoka Children's Hospital Shizuoka Japan.
⁵ Department of General Internal Medicine Shizuoka General Hospital Shizuoka Japan.
⁶ Faculty of Nutrition Kobe Gakuin University Kobe Japan.
⁷ Department of Otolaryngology Shizuoka General Hospital Shizuoka Japan.

Abstract

Hip fractures are common in patients of advanced age and are associated with excess mortality. Rapid and accurate prediction of the prognosis using information that can be easily obtained before surgery would be advantageous to clinical management. We performed a population-based retrospective cohort study using an 8.5-year Japanese claims database (April 2012-September 2020) to develop and validate a predictive model for long-term mortality after hip fracture. The study included 43,529 patients (34,499 [79.3%] women) aged ≥65 years with first-onset hip fracture. During the observation period, 43% of the patients died. Cox regression analysis identified the following prognostic predictors: sex, age, fracture site, nursing care certification, and several comorbidities (any malignancy, renal disease, congestive heart failure, chronic pulmonary disease, liver disease, metastatic solid tumor, and deficiency anemia). We then developed a scoring system called the Shizuoka Hip Fracture Prognostic Score (SHiPS); this system was established by scoring based on each hazard ratio and classifying the degree of mortality risk into four categories based on decision tree analysis. The area under the receiver operating characteristic (ROC) curve (AUC) (95% confidence interval [CI]) of 1-year, 3-year, and 5-year mortality based on the SHiPS was 0.718 (95% CI, 0.706-0.729), 0.736 (95% CI, 0.728-0.745), and 0.758 (95% CI, 0.747-0.769), respectively, indicating good predictive performance of the SHiPS for as long as 5 years after fracture onset. Even when the SHiPS was individually applied to patients with or without surgery after fracture, the prediction performance by the AUC was >0.7. These results indicate that the SHiPS can predict long-term mortality using preoperative information regardless of whether surgery is performed after hip fracture.

Keywords: HIP FRACTURE; LONG‐TERM MORTALITY; POPULATION‐BASED STUDIES; PREOPERATIVE SCORING SYSTEM; PROGNOSIS.