Development and validation of a one year predictive model for secondary fractures in osteoporosis

PLoS One. 2021 Sep 27;16(9):e0257246. doi: 10.1371/journal.pone.0257246. eCollection 2021.

Abstract

The number of osteoporosis-related fractures in the United States is no longer declining. Existing risk-based assessment tools focus on long-term risk. Payers and prescribers need additional tools to identify patients at risk for imminent fracture. We developed and validated a predictive model for secondary osteoporosis fractures in the year following an index fracture using administrative medical and pharmacy claims from the Optum Research Database and Symphony Health, PatientSource. Patients ≥50 years with a case-qualifying fracture identified using a validated claims-based algorithm were included. Logistic regression models were created with binary outcome of a second fracture versus no second fracture within a year of index fracture, with the goal of predicting second fracture occurrence. In the Optum Research Database, 197,104 patients were identified with a case-qualifying fracture (43% commercial, 57% Medicare Advantage). Using Symphony data, 1,852,818 met the inclusion/exclusion criteria. Average patient age was 70.09 (SD = 11.09) and 71.28 (SD = 14.24) years in the Optum Research Database and Symphony data, respectively. With the exception of history of falls (41.26% vs 18.74%) and opioid use (62.80% vs 46.78%), which were both higher in the Optum Research Database, the two populations were mostly comparable. A history of falls and steroid use, which were previously associated with increased fracture risk, continue to play an important role in secondary fractures. Conditions associated with bone health (liver disease), or those requiring medications that impact bone health (respiratory disease), and cardiovascular disease and stroke-which may share etiology or risk factors with osteoporosis fractures-were also predictors of imminent fractures. The model highlights the importance of assessment of patient characteristics beyond bone density, including patient comorbidities and concomitant medications associated with increased fall and fracture risk, in alignment with recently issued clinical guidelines for osteoporosis treatment.

Publication types

  • Research Support, Non-U.S. Gov't
  • Validation Study

MeSH terms

  • Accidental Falls
  • Aged
  • Aged, 80 and over
  • Algorithms
  • Bone Density
  • Comorbidity
  • Computer Simulation
  • Databases, Factual
  • Female
  • Humans
  • Insurance Claim Review
  • Insurance, Health
  • Male
  • Medicare Part C
  • Middle Aged
  • Osteoporotic Fractures / diagnosis*
  • Osteoporotic Fractures / epidemiology*
  • Predictive Value of Tests
  • Probability
  • Regression Analysis
  • Retrospective Studies
  • Risk Assessment
  • Risk Factors
  • United States

Grants and funding

Funding for this study was provided by Radius Health, Inc. The funder provided support in the form of salaries and stock options for authors SAW, YW, and RJW, but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The funder reviewed a draft for legal compliance as they do with all publications but had no comment or approval over publication. The specific roles of these authors are articulated in the ‘author contributions’ section. The funder provided support in the form of data access fees and fees for conducting the study which were paid to Optum and Optum paid salaries for authors TB and BJC. The funder provided support in the form of licensing fees paid to Symphony Health Inc. NP and HN are employees of Cobbs Creek which is an analytic partner and receives consulting fees from Radius Health, Inc for this study and other work. Editorial support (Sarah Hummasti, PhD) and graphic services were provided by AOIC, LLC and were funded by Radius Health, Inc. The funder did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section.