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

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

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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 et al. JBMR Plus. .

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.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Fig. 1
Fig. 1
Risk score form for SHiPS. SHiPS = Shizuoka Hip Fracture Prognostic Score.
Fig. 2
Fig. 2
The proportion of deaths according to the SHiPS. The scores of the SHiPS were tallied in 2‐point increments, and the proportion of deaths for each score was calculated. The range of SHiPS for the study population was from 0 to 51. Due to their small number, scores above 46 were grouped together. The mortality risk categories of low (gray), moderate (red), high (green), and very high (blue) were displayed using background colors based on the SHiPS.
Fig. 3
Fig. 3
Kaplan‐Meier curves classified by mortality risk category based on SHiPS in test data set.

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