Stanley Steyer School of Health Professions, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Int J Epidemiol. 2019 Jun 1;48(3):994-1003. doi: 10.1093/ije/dyz025.
Accurate assessment of the burden of stroke, a major cause of disability and death, is crucial. We aimed to estimate rates of validated ischaemic stroke hospitalizations in the USA during 1998-2011.
We used the Atherosclerosis Risk in Communities (ARIC) study cohort's adjudicated stroke data for participants aged ≥55 years, to construct validation models for each International Classification of Diseases (ICD)-code group and patient covariates. These models were applied to the Nationwide Inpatient Sample (NIS) data to estimate the probability of validated ischaemic stroke for each eligible hospitalization. Rates and trends in NIS using ICD codes vs estimates of validated ischaemic stroke were compared.
After applying validation models, the estimated annual average rate of validated ischaemic stroke hospitalizations in the USA during 1998-2011 was 3.37 [95% confidence interval (CI): 3.31, 3.43) per 1000 person-years. Validated rates declined during 1998-2011 from 4.7/1000 to 2.9/1000; however, the decline was limited to 1998-2007, with no further decline subsequently through 2011. Validation models showed that the false-positive (∼23% of strokes) and false-negative rates of ICD-9-CM codes in primary position for ischaemic stroke approximately cancel. Therefore, estimates of ischaemic stroke hospitalizations did not substantially change after applying validation models.
Overall, ischaemic stroke hospitalization rates in the USA have declined during 1998-2007, but no further decline was observed from 2007 to 2011. Validated ischaemic stroke hospitalizations estimates were similar to published estimates of hospitalizations with ischaemic stroke ICD codes in primary position. Validation of national discharge data using prospective chart review data is important to estimate the accuracy of reported burden of stroke.
准确评估中风负担(残疾和死亡的主要原因)至关重要。我们旨在估计 1998 年至 2011 年期间美国经证实的缺血性中风住院率。
我们使用 Atherosclerosis Risk in Communities (ARIC) 研究队列的经裁定的中风数据,对年龄≥55 岁的参与者进行分析,为每个国际疾病分类(ICD)代码组和患者协变量构建验证模型。将这些模型应用于全国住院患者样本(NIS)数据,以估计每个合格住院患者的经证实的缺血性中风的可能性。比较 NIS 中使用 ICD 代码的比率和趋势与经证实的缺血性中风的估计值。
应用验证模型后,1998 年至 2011 年期间美国经证实的缺血性中风年平均住院率为 3.37 [95%置信区间(CI):3.31,3.43)/1000 人年。1998 年至 2011 年期间,经证实的发病率从 4.7/1000 下降至 2.9/1000;然而,这种下降仅限于 1998 年至 2007 年,此后直至 2011 年并未进一步下降。验证模型表明,ICD-9-CM 代码在原发性位置的缺血性中风的假阳性(约 23%的中风)和假阴性率大致抵消。因此,应用验证模型后,缺血性中风住院率的估计值并未发生实质性变化。
总体而言,1998 年至 2007 年期间,美国缺血性中风住院率下降,但 2007 年至 2011 年期间未观察到进一步下降。经证实的缺血性中风住院率的估计值与原发性位置缺血性中风 ICD 代码的住院率的发表估计值相似。使用前瞻性图表审查数据验证国家出院数据对于估计报告的中风负担的准确性非常重要。