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      KCI등재 SCIE SCOPUS

      MyRisk_Stroke Calculator: A Personalized Stroke Risk Assessment Tool for the General Population

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      https://www.riss.kr/link?id=A101598432

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      다국어 초록 (Multilingual Abstract)

      Background and Purpose There is a variety of stroke risk factors, and engaging individualsin reducing their own personal risk is hugely relevant and could be an optimal disseminationstrategy. The aim of the present study was to estimate the stroke ris...

      Background and Purpose There is a variety of stroke risk factors, and engaging individualsin reducing their own personal risk is hugely relevant and could be an optimal disseminationstrategy. The aim of the present study was to estimate the stroke risk for specific combinationsof health- and lifestyle-related factors, and to develop a personalized stroke-risk assessmenttool for health professionals and the general population (called the MyRisk_Stroke Calculator).
      Methods This population-based, longitudinal study followed a historical cohort formed fromthe 1992 or 1998 Santé Québec Health Surveys with information for linkage to health administrative databases. Stroke risk factors were ascertained at the time of survey, and stroke was determined from hospitalizations and death records. Cox proportional hazards models were used,modeling time to stroke in relationship to all variables.
      Results A total of 358 strokes occurred among a cohort of 17805 persons (men=8181) whowere followed for approximately 11 years (i.e., –200000 person-years). The following regressionparameters were used to produce 10-year stroke-risk estimates and assign risk points: for age (1point/year after age 20 years), male sex (3 points), low education (4 points), renal disease (8points), diabetes (7 points), congestive heart failure (5 points), peripheral arterial disease (2points), high blood pressure (2 points), ischemic heart disease (1 point), smoking (8 points), >7alcoholic drinks per week (3 points), low physical activity (2 points), and indicators of anger (4points), depression (4 points), and anxiety (3 points). According to MyRisk_Stroke Calculator, aperson with <50, 75, and 90 risk points has a 10-year stroke risk of <3%, 28%, and >75%, respectively.
      Conclusions The MyRisk_Stroke Calculator is a simple method of disseminating information to the general population about their stroke risk.

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      참고문헌 (Reference)

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      2 Roumie CL, "Validation of ICD-9 codes with a high positive predictive value for incident strokes resulting in hospitalization using Medicaid health data" 17 : 20-26, 2008

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      4 Kovess V, "Theoretical and practical problems in the measurement of the mental health of populations. Quebec health survey" 86 : 588-593, 1986

      5 Tolonen H, "The validation of the Finnish Hospital Discharge Register and Causes of Death Register data on stroke diagnoses" 14 : 380-385, 2007

      6 Mayo NE, "The evolution of stroke in Quebec: a 15-year perspective" 68 : 1122-1127, 2007

      7 Hanley JA, "The Breslow estimator of the nonparametric baseline survivor function in Cox’s regression model: some heuristics" 19 : 101-102, 2008

      8 Mayo NE, "Surveillance for stroke in Canada" 6 : 62-72, 1994

      9 O’Donnell MJ, "Risk factors for ischaemic and intracerebral haemorrhagic stroke in 22 countries (the INTERSTROKE study): a case-control study" 376 : 112-123, 2010

      10 Gaziano TA, "Reducing the growing burden of cardiovascular disease in the developing world" 26 : 13-24, 2007

      1 Wolf PA, "qProbability of stroke: a risk profile from the Framingham study" 22 : 312-318, 1991

      2 Roumie CL, "Validation of ICD-9 codes with a high positive predictive value for incident strokes resulting in hospitalization using Medicaid health data" 17 : 20-26, 2008

      3 Schneider AT, "Trends in community knowledge of the warning signs and risk factors for stroke" 289 : 343-346, 2003

      4 Kovess V, "Theoretical and practical problems in the measurement of the mental health of populations. Quebec health survey" 86 : 588-593, 1986

      5 Tolonen H, "The validation of the Finnish Hospital Discharge Register and Causes of Death Register data on stroke diagnoses" 14 : 380-385, 2007

      6 Mayo NE, "The evolution of stroke in Quebec: a 15-year perspective" 68 : 1122-1127, 2007

      7 Hanley JA, "The Breslow estimator of the nonparametric baseline survivor function in Cox’s regression model: some heuristics" 19 : 101-102, 2008

      8 Mayo NE, "Surveillance for stroke in Canada" 6 : 62-72, 1994

      9 O’Donnell MJ, "Risk factors for ischaemic and intracerebral haemorrhagic stroke in 22 countries (the INTERSTROKE study): a case-control study" 376 : 112-123, 2010

      10 Gaziano TA, "Reducing the growing burden of cardiovascular disease in the developing world" 26 : 13-24, 2007

      11 Julien M, "Profile-specific survival estimates: making reports of clinical trials more patient-relevant" 5 : 107-115, 2008

      12 Goldstein LB, "Primary prevention of ischemic stroke: a guideline from the American Heart Association/American Stroke Association Stroke Council: cosponsored by the Atherosclerotic Peripheral Vascular Disease Interdisciplinary Working Group; Cardiovascular Nursing Council;Clinical Cardiology Council; Nutrition, Physical Activity, and Metabolism Council; and the Quality of Care and Outcomes Research Interdisciplinary Working Group: the American Academy of Neurology affirms the value of this guideline" 37 : 1583-1633, 2006

      13 World Health Organization, "Preventing Chronic Diseases: A Vital Investment" World Health Organization 2005

      14 Whisnant JP, "Modeling of risk factors for ischemic stroke. The Willis Lecture" 28 : 1840-1844, 1997

      15 Shinton R, "Meta-analysis of relation between cigarette smoking and stroke" 298 : 789-794, 1989

      16 Spolaore P, "Measuring accuracy of discharge diagnoses for a region-wide surveillance of hospitalized strokes" 36 : 1031-1034, 2005

      17 Kannel WB, "Manifestations of coronary disease predisposing to stroke. The Framingham study" 250 : 2942-2946, 1983

      18 Meng L, "Lifestyle factors and chronic diseases: application of a composite risk index" 29 : 296-304, 1999

      19 Weikert C, "Joint effects of risk factors for stroke and transient ischemic attack in a German population: the EPIC Potsdam study" 254 : 315-321, 2007

      20 Leng GC, "Incidence, natural history and cardiovascular events in symptomatic and asymptomatic peripheral arterial disease in the general population" 25 : 1172-1181, 1996

      21 Yusuf HR, "Impact of multiple risk factor profiles on determining cardiovascular disease risk" 27 : 1-9, 1998

      22 Lang T, "Ignoring social factors in clinical decision rules: a contribution to health inequalities?" 15 : 441-, 2005

      23 Kurth T, "Healthy lifestyle and the risk of stroke in women" 166 : 1403-1409, 2006

      24 Ilfeld FW Jr, "Further validation of a psychiatric symptom index in a normal population" 39 : 1215-1228, 1976

      25 Genuth S, "Follow-up report on the diagnosis of diabetes mellitus" 26 : 3160-3167, 2003

      26 Reimers CD, "Exercise as stroke prophylaxis" 106 : 715-721, 2009

      27 Ezzati M, "Estimates of global and regional potential health gains from reducing multiple major risk factors" 362 : 271-280, 2003

      28 "Enquête Sociale et de Santé 1998" Gouvernement du Québec 2001

      29 Abbott RD, "Diabetes and the risk of stroke. The Honolulu Heart Program" 257 : 949-952, 1987

      30 Bos MJ, "Depressive symptoms and risk of stroke: the Rotterdam study" 79 : 997-1001, 2008

      31 Salaycik KJ, "Depressive symptoms and risk of stroke: the Framingham study" 38 : 16-21, 2007

      32 Kokotailo RA, "Coding of stroke and stroke risk factors using international classification of diseases, revisions 9 and 10" 36 : 1776-1781, 2005

      33 Laupacis A, "Clinical prediction rules. A review and suggested modifications of methodological standards" 277 : 488-494, 1997

      34 Ninomiya T, "Chronic kidney disease and cardiovascular disease in a general Japanese population: the Hisayama study" 68 : 228-236, 2005

      35 Walker SP, "Body size and fat distribution as predictors of stroke among US men" 144 : 1143-1150, 1996

      36 Curb JD, "Body fat, coronary heart disease, and stroke in Japanese men" 53 : 1612S-1615S, 1991

      37 Grundy SM, "Assessment of cardiovascular risk by use of multiple-risk-factor assessment equations: a statement for healthcare professionals from the American Heart Association and the American College of Cardiology" 100 : 1481-1492, 1999

      38 Escobar LA, "Assessing influence in regression analysis with censored data" 48 : 507-528, 1992

      39 Everson SA, "Anger expression and incident stroke: prospective evidence from the Kuopio ischemic heart disease study" 30 : 523-528, 1999

      40 Reynolds K, "Alcohol consumption and risk of stroke: a meta-analysis" 289 : 579-588, 2003

      41 Leone MA, "Accuracy of the ICD-9 codes for identifying TIA and stroke in an Italian automated database" 25 : 281-288, 2004

      42 Rinaldi R, "Accuracy of ICD-9 codes in identifying ischemic stroke in the General Hospital of Lugo di Romagna (Italy)" 24 : 65-69, 2003

      43 Lemeshow S, "A review of goodness of fit statistics for use in the development of logistic regression models" 115 : 92-106, 1982

      44 Manson JE, "A prospective study of maturity-onset diabetes mellitus and risk of coronary heart disease and stroke in women" 151 : 1141-1147, 1991

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2012-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2011-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2008-01-01 평가 SCIE 등재 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 2.07 0.25 1.55
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      1.25 1.08 0.497 0.02
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