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Folly Beach Library
9 a.m. - 2 p.m.
*open the 2nd and 4th Saturday
*open the 2nd and 4th Saturday
Phone: (843) 588-2001
Edgar Allan Poe/Sullivan's Island Library
Closed for renovations
Phone: (843) 883-3914
West Ashley Library
9 a.m. - 5 p.m.
Phone: (843) 766-6635
Wando Mount Pleasant Library
9 a.m. - 5 p.m.
Phone: (843) 805-6888
Village Library
9 a.m. - 1 p.m.
Phone: (843) 884-9741
St. Paul's/Hollywood Library
9 a.m. - 5 p.m.
Phone: (843) 889-3300
Otranto Road Library
9 a.m. - 5 p.m.
Phone: (843) 572-4094
Mt. Pleasant Library
9 a.m. – 5 p.m.
Phone: (843) 849-6161
McClellanville Library
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Phone: (843) 887-3699
Keith Summey North Charleston Library
9 a.m. - 5 p.m.
Phone: (843) 744-2489
John's Island Library
9 a.m. - 5 p.m.
Phone: (843) 559-1945
Hurd/St. Andrews Library
9 a.m. - 5 p.m.
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Miss Jane's Building (Edisto Library Temporary Location)
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Dorchester Road Library
9 a.m. - 5 p.m.
Phone: (843) 552-6466
John L. Dart Library
9 a.m. - 5 p.m.
Phone: (843) 722-7550
Baxter-Patrick James Island
9 a.m. - 5 p.m.
Phone: (843) 795-6679
Main Library
9 a.m. - 5 p.m.
Phone: (843) 805-6930
Bees Ferry West Ashley Library
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Phone: (843) 805-6892
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Closed
Phone: (843) 805-6909
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External Validation of a Tool Predicting 7-Year Risk of Developing Cardiovascular Disease, Type 2 Diabetes or Chronic Kidney Disease.
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- Author(s): Rauh, Simone P.; Rutters, Femke; van der Heijden, Amber A. W. A.; Luimes, Thomas; Alssema, Marjan; Heymans, Martijn W.; Magliano, Dianna J.; Shaw, Jonathan E.; Beulens, Joline W.; Dekker, Jacqueline M.
- Source:
JGIM: Journal of General Internal Medicine; Feb2018, Vol. 33 Issue 2, p182-188, 7p, 3 Charts, 1 Graph- Subject Terms:
METABOLIC disorders; TYPE 2 diabetes risk factors; CARDIOVASCULAR diseases risk factors; KIDNEY disease risk factors; FAMILY history (Medicine); DISEASE risk factors; CARDIOVASCULAR diseases; CHRONIC kidney failure; COMPARATIVE studies; LONGITUDINAL method; RESEARCH methodology; MEDICAL cooperation; TYPE 2 diabetes; RESEARCH; RISK assessment; EVALUATION research - Source:
- Additional Information
- Subject Terms:
- Abstract:
Background: Chronic cardiometabolic diseases, including cardiovascular disease (CVD), type 2 diabetes (T2D) and chronic kidney disease (CKD), share many modifiable risk factors and can be prevented using combined prevention programs. Valid risk prediction tools are needed to accurately identify individuals at risk.Objective: We aimed to validate a previously developed non-invasive risk prediction tool for predicting the combined 7-year-risk for chronic cardiometabolic diseases.Design: The previously developed tool is stratified for sex and contains the predictors age, BMI, waist circumference, use of antihypertensives, smoking, family history of myocardial infarction/stroke, and family history of diabetes. This tool was externally validated, evaluating model performance using area under the receiver operating characteristic curve (AUC)-assessing discrimination-and Hosmer-Lemeshow goodness-of-fit (HL) statistics-assessing calibration. The intercept was recalibrated to improve calibration performance.Participants: The risk prediction tool was validated in 3544 participants from the Australian Diabetes, Obesity and Lifestyle Study (AusDiab).Key Results: Discrimination was acceptable, with an AUC of 0.78 (95% CI 0.75-0.81) in men and 0.78 (95% CI 0.74-0.81) in women. Calibration was poor (HL statistic: p < 0.001), but improved considerably after intercept recalibration. Examination of individual outcomes showed that in men, AUC was highest for CKD (0.85 [95% CI 0.78-0.91]) and lowest for T2D (0.69 [95% CI 0.65-0.74]). In women, AUC was highest for CVD (0.88 [95% CI 0.83-0.94)]) and lowest for T2D (0.71 [95% CI 0.66-0.75]).Conclusions: Validation of our previously developed tool showed robust discriminative performance across populations. Model recalibration is recommended to account for different disease rates. Our risk prediction tool can be useful in large-scale prevention programs for identifying those in need of further risk profiling because of their increased risk for chronic cardiometabolic diseases. [ABSTRACT FROM AUTHOR] - Abstract: Copyright of JGIM: Journal of General Internal Medicine is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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