An Evaluation of Clinical Risk Factors for Estimating Fracture Risk in Postmenopausal Osteoporosis Using an Electronic Medical Record Database
Initiatives
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The objectives of this descriptive study were to (1) identify variables related to clinical constructs for FRAX risk factors and quantify their presence among postmenopausal women in a database of EMR health records, (2) apply those risk factor constructs to estimate absolute fracture risk with the FRAX calculator and quantify the proportions of women whose absolute fracture risks exceeded the NOF’s thresholds for treatment, and (3) test the validity of our assumptions with sensitivity analyses of sub-cohorts of patients with missing race and/or BMD data.
Note: All published information has been collected from the article referenced in the Marker Paper box below. Therefore, there may be variations with more advanced versions of the study.
- Start Year
- 2007
- Funding
- The authors would like to acknowledge the Agency for Healthcare Research and Quality (AHRQ) for its support of Dr. LaFleur (1K08HS0018582) and the National Institutes of Health (NIH) for its support of Dr. Curtis (AR053351).
Design
- Study design
- Patients' cohort
Marker Paper
Unni S, Yao Y, Milne N, Gunning K, Curtis JR, LaFleur J. An evaluation of clinical risk factors for estimating fracture risk in postmenopausal osteoporosis using an electronic medical record database. Osteoporos Int. 2015;26(2):581‐587. doi:10.1007/s00198-014-2899-7
PUBMED 25288442
Recruitment
- Sources of Recruitment
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- Individuals
Number of participants
- Number of participants
- 345
- Number of participants with biosamples
Access
Availability of data and biosamples
| Data | |
| Biosamples | |
| Other |
Timeline
cohort of postmenopausal women
Our cohort was selected using an EMR database with demographic, inpatient, outpatient, and clinical information for female patients age ≥50 in a family practice, internal medicine, or obstetrics/gynecology clinic in 2007–2008. The latest physician encounter was the index date. Variables, problem and medication lists, diagnosis codes, and histories from the EMR were used to populate the 11 clinical risk factor variables used in the FRAX.
Selection Criteria
- Gender
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women
- Minimum age
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50
- Newborns
- Twins
- Countries
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- United States of America
- Ethnic Origin
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- Health Status
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- postmenopausal women
Recruitment
- Sources of recruitment
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- General population
Number of participants
- Number of participants
- 345
- Number of participants with biosamples
Data Collection Event
Our study used Epic EMR database in a university-affiliated network of hospitals and clinics. The database contained demographic, inpatient, outpatient, and clinical information for about 1.4 million patients seen in multiple clinics throughout Utah between 1990 and 2009.
EMR - Electronic medical record databases
- Start Date
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2007-01
- End Date
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2008
- Data sources
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Mobile data collection
- EMR - Electronic medical record databases
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Mobile data collection