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A quantitative measure of diabetes risk in community practice impacts clinical decisions: the PREVAIL initiative.

Publication ,  Journal Article
Shah, BR; Cox, M; Inzucchi, SE; Foody, JM; Zimmer, LO; Jorge, CB; Ratner, RE; Barringer, TA; McGuire, DK; Peterson, ED
Published in: Nutr Metab Cardiovasc Dis
April 2014

BACKGROUND AND AIMS: While predictive tools are being developed to identify those at highest risk for developing diabetes, little is known whether these assays affect clinical care. METHODS AND RESULTS: Thirty sites who used the PreDx(®) (Tethys BioScience, Emeryville, CA) abstracted clinical information from baseline clinic visits prior to a PreDx test and from the most recent visit at time of abstraction. All visits occurred between May 2008-April 2011 (median follow-up 198 days, IQR 124-334). The primary analysis was the influence of the PreDx test (5-year diabetes prediction) on subsequent care; descriptive statistics were used to summarize baseline and follow-up variables. Overall 913 patients with 2 abstracted visits were included. Relative to baseline, median SBP decreased 1.5 mmHg (p = 0.039), DBP decreased 2 mmHg (p < 0.001), LDL-C decreased 4 mg/dL (p = 0.009), and HDL-C increased 2 mg/dL (p < 0.001) at follow-up. Behavioral or lifestyle counseling was not significantly different from baseline to follow-up (71.2% vs. 68.1% (p = 0.077), but BMI was lower by 0.2 kg/m(2) at follow up (p = 0.013). At follow-up, more patients were prescribed metformin (13.7% vs. 9.7%, p < 0.001). A higher PreDx score was significantly associated with metformin prescription (p = 0.0003), lifestyle counseling (p = 0.0099), and a lower BMI at follow-up (p = 0.007). CONCLUSION: The use of a prognostic test in patients perceived to be high risk for diabetes was associated with a modest but significant increase in the prescription of metformin and lifestyle interventions and a reduction in BMI.

Duke Scholars

Published In

Nutr Metab Cardiovasc Dis

DOI

EISSN

1590-3729

Publication Date

April 2014

Volume

24

Issue

4

Start / End Page

400 / 407

Location

Netherlands

Related Subject Headings

  • United States
  • Time Factors
  • Risk Reduction Behavior
  • Risk Factors
  • Risk Assessment
  • Retrospective Studies
  • Quality Indicators, Health Care
  • Quality Improvement
  • Preventive Health Services
  • Practice Patterns, Physicians'
 

Citation

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Shah, B. R., Cox, M., Inzucchi, S. E., Foody, J. M., Zimmer, L. O., Jorge, C. B., … Peterson, E. D. (2014). A quantitative measure of diabetes risk in community practice impacts clinical decisions: the PREVAIL initiative. Nutr Metab Cardiovasc Dis, 24(4), 400–407. https://doi.org/10.1016/j.numecd.2013.09.010
Shah, B. R., M. Cox, S. E. Inzucchi, J. M. Foody, L. O. Zimmer, C. B. Jorge, R. E. Ratner, T. A. Barringer, D. K. McGuire, and E. D. Peterson. “A quantitative measure of diabetes risk in community practice impacts clinical decisions: the PREVAIL initiative.Nutr Metab Cardiovasc Dis 24, no. 4 (April 2014): 400–407. https://doi.org/10.1016/j.numecd.2013.09.010.
Shah BR, Cox M, Inzucchi SE, Foody JM, Zimmer LO, Jorge CB, et al. A quantitative measure of diabetes risk in community practice impacts clinical decisions: the PREVAIL initiative. Nutr Metab Cardiovasc Dis. 2014 Apr;24(4):400–7.
Shah, B. R., et al. “A quantitative measure of diabetes risk in community practice impacts clinical decisions: the PREVAIL initiative.Nutr Metab Cardiovasc Dis, vol. 24, no. 4, Apr. 2014, pp. 400–07. Pubmed, doi:10.1016/j.numecd.2013.09.010.
Shah BR, Cox M, Inzucchi SE, Foody JM, Zimmer LO, Jorge CB, Ratner RE, Barringer TA, McGuire DK, Peterson ED. A quantitative measure of diabetes risk in community practice impacts clinical decisions: the PREVAIL initiative. Nutr Metab Cardiovasc Dis. 2014 Apr;24(4):400–407.
Journal cover image

Published In

Nutr Metab Cardiovasc Dis

DOI

EISSN

1590-3729

Publication Date

April 2014

Volume

24

Issue

4

Start / End Page

400 / 407

Location

Netherlands

Related Subject Headings

  • United States
  • Time Factors
  • Risk Reduction Behavior
  • Risk Factors
  • Risk Assessment
  • Retrospective Studies
  • Quality Indicators, Health Care
  • Quality Improvement
  • Preventive Health Services
  • Practice Patterns, Physicians'