Department of Public Health, Faculty of Health Sciences, University of Stavanger, Stavanger, Norway.
Research Department, Stavanger University Hospital, Stavanger, Norway.
Scand Cardiovasc J. 2021 Feb;55(1):56-62. doi: 10.1080/14017431.2020.1821909. Epub 2020 Oct 19.
To evaluate the predictive ability of the previously published NORRISK 2 cardiovascular risk model in Norwegian-born and immigrants born in South Asia living in Norway, and to add information about diabetes and ethnicity in an updated model for South Asians and diabetics (NORRISK 2-SADia). We included participants (30-74 years) born in Norway ( = 13,885) or South Asia ( = 1942) from health surveys conducted in Oslo 2000-2003. Cardiovascular disease (CVD) risk factor information including self-reported diabetes was linked with information on subsequent acute myocardial infarction (AMI) and acute cerebral stroke in hospital and mortality registry data throughout 2014 from the nationwide CVDNOR project. We developed an updated model using Cox regression with diabetes and South Asian ethnicity as additional predictors. We assessed model performance by Harrell's C and calibration plots. The NORRISK 2 model underestimated the risk in South Asians in all quintiles of predicted risk. The mean predicted 13-year risk by the NORRISK 2 model was 3.9% (95% CI 3.7-4.2) versus observed 7.3% (95% CI 5.9-9.1) in South Asian men and 1.1% (95% CI 1.0-1.2) versus 2.7% (95% CI 1.7-4.2) observed risk in South Asian women. The mean predictions from the NORRISK 2-SADia model were 7.2% (95% CI 6.7-7.6) in South Asian men and 2.7% (95% CI 2.4-3.0) in South Asian women. The NORRISK 2-SADia model improved predictions of CVD substantially in South Asians, whose risks were underestimated by the NORRISK 2 model. The NORRISK 2-SADia model may facilitate more intense preventive measures in this high-risk population.
为了评估先前发表的 NORRISK 2 心血管风险模型在挪威出生的人和在挪威出生的南亚移民中的预测能力,并在南亚人和糖尿病患者的更新模型中添加有关糖尿病和种族的信息(NORRISK 2-SADia)。我们纳入了 2000-2003 年在奥斯陆进行的健康调查中出生于挪威( = 13885)或南亚( = 1942)的参与者(30-74 岁)。心血管疾病(CVD)危险因素信息,包括自我报告的糖尿病,与全国 CVDNOR 项目中 2014 年期间医院和死亡率登记处数据中随后发生的急性心肌梗死(AMI)和急性脑卒中等信息相关联。我们使用 Cox 回归建立了一个更新的模型,其中糖尿病和南亚种族是额外的预测因素。我们通过哈雷尔 C 和校准图评估了模型性能。NORRISK 2 模型在预测风险的所有五分位数中都低估了南亚人的风险。NORRISK 2 模型预测的 13 年平均风险为 3.9%(95%CI 3.7-4.2),而南亚男性的观察风险为 7.3%(95%CI 5.9-9.1),南亚女性的观察风险为 1.1%(95%CI 1.0-1.2)。NORRISK 2-SADia 模型预测的南亚男性平均风险为 7.2%(95%CI 6.7-7.6),南亚女性为 2.7%(95%CI 2.4-3.0)。NORRISK 2-SADia 模型大大改善了南亚人的 CVD 预测,NORRISK 2 模型低估了南亚人的风险。NORRISK 2-SADia 模型可能会促进对这一高危人群进行更强化的预防措施。