Development of a Risk Equation for the Incidence of Coronary Artery Disease and Ischemic Stroke for Middle-Aged Japanese　– Japan Public Health Center-Based Prospective Study –

Yatsuya, Hiroshi; Iso, Hiroyasu; Li, Yuanying; Yamagishi, Kazumasa; Kokubo, Yoshihiro; Saito, Isao; Sawada, Norie; Inoue, Manami; Tsugane, Shoichiro

doi:10.1253/circj.cj-16-0081

Cited by 37 publications

(33 citation statements)

References 38 publications

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“…As expected, our study supports the association between non-HDL-C and CHD risk as reported in the Emerging Risk Factors Collaboration 1) and epidemiological studies in Japan [4][5][6][24][25][26] . In addition, our findings provide a new understanding of stroke risk.…”

Section: Discussionsupporting

confidence: 92%

Non-High-Density Lipoprotein Cholesterol and Risk of Stroke Subtypes and Coronary Heart Disease: The Japan Public Health Center-Based Prospective (JPHC) Study

Saito

Yamagishi

Kokubo

et al. 2020

JAT

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A positive association between non-high-density lipoprotein cholesterol (non-HDL-C) and coronary heart disease (CHD) has been established; however, associations between non-HDL-C and stroke subtypes have not been determined. Methods: We conducted a prospective study of 30,554 individuals aged 40-69 yrs with no history of cardiovascular disease (CVD) in Japan. Sex-specific hazard ratios (HRs) and 95% confidence intervals (CIs) for the incidence of stroke subtypes and CHD were estimated according to quintiles of non-HDL-C, using Cox proportional hazard models adjusted for other established risk factors. Results: We identified 1,705 stroke and 296 CHD events over a median 15 yrs of follow-up. The fractional polynomials analysis revealed a U-shaped association between non-HDL-C and stroke risk in men. When analyzed for stroke subtypes, the data revealed an inverse relationship between non-HDL-C and intracerebral hemorrhage (ICH), primarily with lobar ICH, and a positive association between non-HDL-C and large-artery occlusive infarction in men [adjusted HR 0.55 (95% CI, 0.35-0.87) and 2.05 (95% CI, 1.07-3.93) for the highest and lowest quintile of non-HDL-C, respectively]. The lowest risk of ICH in women was observed in the fourth quintile, and the lowest risk of embolic infarction was observed in the third quintile. In contrast, non-HDL-C was positively associated with CHD in both sexes. Conclusions: In Japanese men, lower non-HDL-C levels were associated with a decreased risk of large-artery occlusive infarction and an increased risk of ICH, particularly lobar ICH. evidence of a causal connection between non-HDL-C and CHD 2, 3). In contrast, the association between non-HDL-C and stroke and stroke subtypes remains unknown. Indeed, epidemiological studies in Japan showed inconsistent results, i.e., some found a positive association between non-HDL-C and atherothrom

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Section: Discussionsupporting

confidence: 92%

Non-High-Density Lipoprotein Cholesterol and Risk of Stroke Subtypes and Coronary Heart Disease: The Japan Public Health Center-Based Prospective (JPHC) Study

Saito

Yamagishi

Kokubo

et al. 2020

JAT

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“…The literature search returned 7744 results after removing duplicates. We reviewed 362 full texts, of which 110 studies met inclusion criteria (28‐30, 33‐138). See Fig.…”

Section: Resultsmentioning

confidence: 99%

Cardiometabolic risk prediction algorithms for young people with psychosis: a systematic review and exploratory analysis

Perry

Upthegrove

Crawford

et al. 2020

Acta Psychiatr Scand

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Objective Cardiometabolic risk prediction algorithms are common in clinical practice. Young people with psychosis are at high risk for developing cardiometabolic disorders. We aimed to examine whether existing cardiometabolic risk prediction algorithms are suitable for young people with psychosis. Methods We conducted a systematic review and narrative synthesis of studies reporting the development and validation of cardiometabolic risk prediction algorithms for general or psychiatric populations. Furthermore, we used data from 505 participants with or at risk of psychosis at age 18 years in the ALSPAC birth cohort, to explore the performance of three algorithms (QDiabetes, QRISK3 and PRIMROSE) highlighted as potentially suitable. We repeated analyses after artificially increasing participant age to the mean age of the original algorithm studies to examine the impact of age on predictive performance. Results We screened 7820 results, including 110 studies. All algorithms were developed in relatively older participants, and most were at high risk of bias. Three studies (QDiabetes, QRISK3 and PRIMROSE) featured psychiatric predictors. Age was more strongly weighted than other risk factors in each algorithm. In our exploratory analysis, calibration plots for all three algorithms implied a consistent systematic underprediction of cardiometabolic risk in the younger sample. After increasing participant age, calibration plots were markedly improved. Conclusion Existing cardiometabolic risk prediction algorithms cannot be recommended for young people with or at risk of psychosis. Existing algorithms may underpredict risk in young people, even in the face of other high‐risk features. Recalibration of existing algorithms or a new tailored algorithm for the population is required.

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“…It did not include individuals treated for secondary prevention or studies only consisted of patients with dyslipidemia. Nine articles published between January 01, 1990 and September 30, 2016 161 , 162 , 334 – 340 ) were selected for this review and are summarized in Table 6 .…”

Section: Comprehensive Risk Managementmentioning

confidence: 99%

Japan Atherosclerosis Society (JAS) Guidelines for Prevention of Atherosclerotic Cardiovascular Diseases 2017

Kinoshita

Yokote

Arai

et al. 2018

JAT

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Development of a Risk Equation for the Incidence of Coronary Artery Disease and Ischemic Stroke for Middle-Aged Japanese　– Japan Public Health Center-Based Prospective Study –

Cited by 37 publications

References 38 publications

Non-High-Density Lipoprotein Cholesterol and Risk of Stroke Subtypes and Coronary Heart Disease: The Japan Public Health Center-Based Prospective (JPHC) Study

Non-High-Density Lipoprotein Cholesterol and Risk of Stroke Subtypes and Coronary Heart Disease: The Japan Public Health Center-Based Prospective (JPHC) Study

Cardiometabolic risk prediction algorithms for young people with psychosis: a systematic review and exploratory analysis

Japan Atherosclerosis Society (JAS) Guidelines for Prevention of Atherosclerotic Cardiovascular Diseases 2017

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Development of a Risk Equation for the Incidence of Coronary Artery Disease and Ischemic Stroke for Middle-Aged Japanese – Japan Public Health Center-Based Prospective Study –

Cited by 37 publications

References 38 publications

Non-High-Density Lipoprotein Cholesterol and Risk of Stroke Subtypes and Coronary Heart Disease: The Japan Public Health Center-Based Prospective (JPHC) Study

Non-High-Density Lipoprotein Cholesterol and Risk of Stroke Subtypes and Coronary Heart Disease: The Japan Public Health Center-Based Prospective (JPHC) Study

Cardiometabolic risk prediction algorithms for young people with psychosis: a systematic review and exploratory analysis

Japan Atherosclerosis Society (JAS) Guidelines for Prevention of Atherosclerotic Cardiovascular Diseases 2017

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Product

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Development of a Risk Equation for the Incidence of Coronary Artery Disease and Ischemic Stroke for Middle-Aged Japanese　– Japan Public Health Center-Based Prospective Study –