Risk Factors and Prediction of Stroke in a Population with High Prevalence of Diabetes: The Strong Heart Study. (Record no. 2612)

MARC details
000 -LEADER
fixed length control field 03013nam a22003377a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 170823s20172017 xxu||||| |||| 00| 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 2164-5329
040 ## - CATALOGING SOURCE
Original cataloging agency Ovid MEDLINE(R)
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
PMID 28775914
245 ## - TITLE STATEMENT
Title Risk Factors and Prediction of Stroke in a Population with High Prevalence of Diabetes: The Strong Heart Study.
251 ## - Source
Source World Journal of Cardiovascular Diseases. 7(5):145-162, 2017 May
252 ## - Abbreviated Source
Abbreviated source World J. Cardiovasc. Dis.. 7(5):145-162, 2017 May
253 ## - Journal Name
Journal name World Journal of Cardiovascular Diseases
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Year 2017
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Manufacturer F { !#/&O2
266 ## - Date added to catalog
Date added to catalog 2017-08-23
520 ## - SUMMARY, ETC.
Abstract BACKGROUND AND OBJECTIVE: American Indians have a high prevalence of diabetes and higher incidence of stroke than that of whites and blacks in the U.S. Stroke risk prediction models based on data from American Indians would be of clinical and public health value.
520 ## - SUMMARY, ETC.
Abstract CONCLUSIONS: Our stroke risk prediction models provide a mechanism for stroke risk assessment designed for American Indians. The models may be also useful to other populations with high prevalence of obesity and/or diabetes for screening individuals for risk of incident stroke and designing prevention programs.
520 ## - SUMMARY, ETC.
Abstract DISCUSSION: The models produced a C = 0.761 and HL = 4.668 (p = 0.792) for women, and a C = 0.765 and HL = 9.171 (p = 0.328) for men, showing good discrimination and calibration.
520 ## - SUMMARY, ETC.
Abstract METHODS AND RESULTS: A total of 3483 (2043 women) Strong Heart Study participants free of stroke at baseline were followed from 1989 to 2010 for incident stroke. Overall, 297 stroke cases (179 women) were identified. Cox models with stroke-free time and risk factors recorded at baseline were used to develop stroke risk prediction models. Assessment of the developed stroke risk prediction models regarding discrimination and calibration was performed by an analogous C-statistic (C) and a version of the Hosmer-Lemeshow statistic (HL), respectively, and validated internally through use of Bootstrapping methods.
520 ## - SUMMARY, ETC.
Abstract RESULTS: Age, smoking status, alcohol consumption, waist circumference, hypertension status, an-tihypertensive therapy, fasting plasma glucose, diabetes medications, high/low density lipoproteins, urinary albumin/creatinine ratio, history of coronary heart disease/heart failure, atrial fibrillation, or Left ventricular hypertrophy, and parental history of stroke were identified as the significant optimal risk factors for incident stroke.
546 ## - LANGUAGE NOTE
Language note English
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element PubMed-not-MEDLINE -- Not indexed
651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME
Institution MedStar Health Research Institute
657 ## - INDEX TERM--FUNCTION
Medline publication type Journal Article
700 ## - ADDED ENTRY--PERSONAL NAME
Local Authors Howard, Barbara V
700 ## - ADDED ENTRY--PERSONAL NAME
Local Authors Shara, Nawar M
790 ## - Authors
All authors Ali T, Best LG, Cole SA, Devereux RB, Howard BV, Kamel H, Kizer JR, Lee ET, Rhoades E, Shara N, Stoner JA, Wang W, Welty TK, Wiebers DO, Yeh J, Zhang Y
856 ## - ELECTRONIC LOCATION AND ACCESS
DOI <a href="https://dx.doi.org/10.4236/wjcd.2017.75014">https://dx.doi.org/10.4236/wjcd.2017.75014</a>
Public note https://dx.doi.org/10.4236/wjcd.2017.75014
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Journal Article
Item type description Article
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection Home library Current library Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
          MedStar Authors Catalog MedStar Authors Catalog 08/23/2017   28775914 28775914 08/23/2017 08/23/2017 Journal Article

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