From the Stroke Unit (J.D.P., P.K., S.J.V., P.M., G.M., A. Sharma), Department of Neurology, Christian Medical College and Hospital; Department of Neurology (G. Singh, R.B., B.S.P., M. Singla), Dayanand Medical College and Hospital; Departments of Community Medicine (S. Singh, C.J.S.) and Neurosurgery (S.S.G., S.S.J.), Christian Medical College; Arora Neuro Center (O.P.A.); Deep Hospital (A.K.D.); Sobti Neuro and Super Specialty Hospital (M.K.S.); Guru Teg Bahadur Charitable Hospital (H.S.); Shree Raghunath Hospital (M.K.); Deepak Hospital (T.N.S., T.A.); Mediciti Hospital (A. Saxena, G. Sachdeva); Delta Heart Center (J.S.G., R.S.B.); Heart Beat Diagnostic Center (A.G.); Ace Healthways (S.S.B.); Kuka Diagnostic Center (S.S.P.); Civil Hospital (G. Singh); ESIC Hospital (P.S.); Geology, Water Resources and Geoinformatic Division (P.K.L.), Punjab Remote Sensing Center, Ludhiana; and Non Communicable Diseases Division (M. Sharma), Indian Council of Medical Research, New Delhi.
Neurology. 2016 Feb 2;86(5):425-33. doi: 10.1212/WNL.0000000000002335. Epub 2016 Jan 6.
To estimate the incidence, short-term outcome, and spatial distribution of stroke patients and to evaluate the completeness of case ascertainment in Ludhiana.
This population-based prospective cohort study was conducted in Ludhiana, Punjab, Northwest India. All first-ever stroke patients (≥18 years) were included between March 2010 and March 2013 using WHO Stepwise Approach Surveillance methodology from the city. Stroke patient data were obtained from hospitals, scan centers, and general practitioners, and details of deaths from the Municipal Corporation.
Out of 7,199 stroke patients recruited, 3,441 were included in final analysis. The mean age was 59 ± 15 years. The annual incidence rate was 140/100,000 (95% confidence interval [CI] 133-147) and age-adjusted incidence rate was 130/100,000 (95% CI 123-137). The annual incidence rate for stroke in the young (18-49 years) was 46/100,000 (95% CI 41-51). The case fatality at 28 days was 22%. Patients above 60 years of age (p = 0.03) and patients who were managed in public hospitals had poor survival (p = 0.01). Hot spots for cumulative incidence were seen in central and southern parts of the city, and hot spots for poor outcome were seen in the outskirts of the city.
The incidence rates are similar to other studies from India. Stroke patient survival is poor in public hospitals. The finding of spatial analysis is of public health significance for stroke prevention and strengthening of stroke services.
估计脑卒中患者的发病率、短期预后和空间分布,并评估 Ludhiana 脑卒中病例发现的完整性。
这是一项在印度西北部旁遮普邦 Ludhiana 市进行的基于人群的前瞻性队列研究。采用世界卫生组织逐步方法监测法,于 2010 年 3 月至 2013 年 3 月期间纳入所有首次发生的脑卒中患者(≥18 岁)。从医院、扫描中心和全科医生处获取脑卒中患者数据,并从市立公司获取死亡详情。
在纳入的 7199 例脑卒中患者中,3441 例进入最终分析。平均年龄为 59±15 岁。年发病率为 140/100000(95%置信区间[CI]为 133-147),年龄调整发病率为 130/100000(95%CI 为 123-137)。18-49 岁年龄组的脑卒中年发病率为 46/100000(95%CI 为 41-51)。28 天病死率为 22%。60 岁以上患者(p=0.03)和在公立医院接受治疗的患者生存状况较差(p=0.01)。城市中心和南部地区累积发病率的热点,城市郊区预后不良的热点。
发病率与印度其他研究相似。公立医院中脑卒中患者的生存率较差。空间分析结果对脑卒中预防和加强脑卒中服务具有公共卫生意义。