Background:Severe infections, particularly those requiring hospitalization, have been widely recognized as potential risk factors for cardiovascular and cerebrovascular diseases. However, the precise relationship remains unclear, particularly regarding how factors such as different time windows, repeated infections, infections caused by various pathogens, and infections involving different organ systems may influence the risk of acute cardiovascular and cerebrovascular events. This study aimed to evaluate the impact of severe infections on the incidence of these acute events by specifically focusing on these factors. Methods:We conducted a prospective cohort study involving 55,338 participants, with a median follow-up duration of 6.42 years (IQR: 4.56-7.01). Hospitalization events related to infectious diseases and incident cardiovascular and cerebrovascular diseases were identified using passive follow-up methods. Segmented Cox regression analyses were performed to evaluate the effects of various infection-related factors on the risk of acute cardiovascular and cerebrovascular diseases, including different time windows after infection, repeated infections, infections caused by various pathogens, and infections involving different organ systems. Results:The risk of cardiovascular and cerebrovascular events after severe infection was elevated during the whole follow-up (HR=4.07, 95% CI: 3.62-4.57) and was most significantly elevated in 3 months following severe infection (HR=8.24, 95% CI: 6.16-11.02). Repeated infections were positively correlated with the excess risk of stroke (HR=4.73, 95% CI: 1.75-12.79 for ≥3 infections, p for difference = 0.013). Infections involving different organ systems carried a much higher risk compared to single-system infections (HR= 13.11, 95% CI: 7.3-23.53). Viral infections notably increased the risk of acute ischemic heart disease (HR=4.22, 95% CI: 2.29-7.76). Conclusion:The study found that severe infections were associated with the elevated risk of cardiovascular and cerebrovascular events. The findings suggest that more attention should be given to preventing and intervening in cardiovascular events among high-risk infection populations.

To characterize the associations between nighttime sleep duration and control of blood pressure (BP) and glycemia in individuals with comorbid hypertension and diabetes, we conducted a cross-sectional analysis of 2794 participants aged ≥ 50 years with confirmed diabetes and hypertension. Participants were categorized into five self-reported nighttime sleep duration groups: < 6 h, 6-7 h, 7-8 h, 8-9 h, and > 9 h. Multivariable logistic regression models were used to evaluate associations between sleep duration and BP/glycemic control, with adjustment for demographic, clinical, and behavioral confounders. We observed that prolonged sleep duration (> 9 h) was independently associated with uncontrolled BP after confounder adjustment. Subgroup analyses revealed that short sleep duration (< 6 h and 6-7 h) was linked to uncontrolled BP among males, whereas prolonged sleep duration was associated with uncontrolled BP among females, participants under 65 years, those with regular medication adherence, and non-nappers. For glycemic control, prolonged sleep duration conferred a protective effect among normal-weight individuals, but this association was not evident in the overall sample. Our results suggested that BP regulation may play a dominant role in competitive metabolic regulation demands compared to glycemic regulation. We recommended that individualized interventions aimed at modifying the habitual sleep duration of patients with comorbidities may be a crucial strategy to enhance BP and blood glucose management.

ObjectiveTo develop a nomogram-based risk prediction model for chronic obstructive pulmonary disease (COPD) incidence among the community-dwelling population aged 40 years old and above, so as to provide targeted references for the screening and prevention of COPD.MethodsBased on a natural population cohort in suburban Shanghai, a total of 3 381 randomly selected participants aged ≥40 years underwent pulmonary function tests between July and October 2021. Cox stepwise regression analysis was used to develop overall and gender-specific risk prediction models, along with the construction of corresponding risk nomograms. Model predictive performance was evaluated using the C-indice, area under the curve (AUC) values, and Brier score. Stability was assessed through 10-fold cross-validation and sensitivity analysis.ResultsA total of 3 019 participants were included, with a median follow-up duration of 4.6 years. The COPD incidence density was 17.22 per 1 000 person-years, significantly higher in males (32.04/1 000 person-years) than that in females (7.38/1 000 person-years) (P<0.001). The overall risk prediction model included the variables such as gender, age, education level, BMI, smoking, passive smoking, and respiratory comorbidities. The male-specific model incorporated the variables such as age, BMI, respiratory comorbidities, and smoking, while the female-specific model included age, marital status, respiratory comorbidities, and pulmonary tuberculosis history. The C-indices for the overall, male-specific, and female-specific models were 0.829, 0.749, and 0.807, respectively. The 5-year AUC values were 0.785, 0.658, and 0.811, with Brier scores of 0.103, 0.176, and 0.059, respectively. Both 10-fold cross-validated C-indices and sensitivity analysis (excluding participants with a follow-up duration of <6 months) yielded C-indices were above 0.740.ConclusionThis study developed concise and practical overall and gender-specific COPD risk prediction models and corresponding nomograms. The models demonstrated robust performance in predicting COPD incidence, providing a valuable reference for identifying high-risk populations and formulating targeted screening and personalized management strategies.

[Objective]To evaluate the efficacy of three screening questionnaires for COPD in the community residents of Songjiang District,Shanghai,and to provide a basis for selecting COPD screening questionnaire and process that are more suitable.[Methods]Community residents aged 40 years or over were randomly selected from the Shanghai Suburban Adult Cohort and Biobank for the study with screening questionnaires and spirometry.Questionnaires included the COPD screening questionnaire(COPD-SQ),the COPD population screener(COPD-PS)and the revised COPD diagnostic questionnaire(revised-CDQ).Evaluation of the efficacy of these questionnaires was based on the area under the receiver operating characteristic curve(AUC)of the subjects.DeLong test was used to compare the accuracy of different questionnaires;Z test was used to compare the accuracy of different cut-off values for the same questionnaire.[Results]Among 3 184 community residents,a total of 259(8.1%)COPD patients were screened by spirometry.AUC values of these 3 screening questionnaires were>0.7 indicating that they were reliable COPD screening tools.The sensitivity and specificity of the questionnaires at the recommended cut-off values were COPD-SQ(63.7%and 72.2%),COPD-PS(12.0%and 96.1%),and revised CDQ(78.8%and 52.7%),with the COPD-SQ having the highest screening accuracy(AUC=0.754).The optimal and recommended cut-off values for the three questionnaires differed in this population,but the difference in accuracy was statistically significant only for COPD-PS.The optimal cut-off values for the three questionnaires differed between male and female,and the sensitivity and accuracy of COPD-SQ and COPD-PS improved when lower cut-off values were used for women.The AUC was greater when two questionnaires were utilized simultaneously for screening,but the differences were not statistically significant.[Conclusion]The COPD-SQ is recommended for primary COPD screening;a lower cut-off value for women should be considered.The COPD screening questionnaire needs to be further improved for the early diagnosis and treatment of COPD patients.

ObjectiveTo investigate the prevalence of stroke in Songjiang District from 2017 to 2022, to analyze the epidemiological characteristics of stroke incidence, so as to provide a scientific basis for the formulation of stroke prevention and control policies.MethodsData of new stroke incidence from 2017 to 2022 in Songjiang District were obtained from the Shanghai Stroke and Acute Myocardial Infarction Registration and Reporting Information System. In addition, different classifications such as time of onset, gender, age group and types of stroke, were statistically analyzed. Statistical indicators, such as the number of incidence, crude incidence rate, standardized incidence rate and average age of incidence were calculated simultaneously. Joinpoint software were used to calculate the annual change percentage (APC) and the trend of stroke incidence in Songjiang District.ResultsFrom 2017 to 2022, the newly reported cases of stroke were 12 988 in Songjiang District, the crude incidence rate was 325.76/105, and the standardized incidence rate was 127.58/105. The crude incidence rate and standardized incidence rate in males were 363.45/105 and 157.17/105, respectively, but 288.68/105 and 99.02/105 in females. The mean age of onset was (73.12±11.75) years, of which the mean age of onset was (70.86±11.96) years for men and (75.91±10.85) years for women. The incidence of stroke increased with age, rising rapidly after 60 years and reaching a peak in the age group of ≥ 80 years old. The crude incidence rate and standardized incidence rate of stroke in Songjiang District showed a downward trend from 2017 to 2022, with an APC of -6.20% and -8.01%, respectively (P=0.018, 0.007). The newly reported stroke was dominated by ischemic stroke, accounting for 82.81% of the total cases, with a crude incidence rate of 269.77/105 and a standardized rate of 103.84/105. The incidence of stroke presented seasonal characteristics, with the highest incidence in winter, accounting for 26.11% of the whole year.ConclusionThe incidence rate of stroke in Songjiang District shows a declined trend, but the overall incidence is still at a high level. The situation of prevention and control is still serious, with a heavy disease burden. It is necessary to strengthen health education and disease management for the elderly.

OBJECTIVES:To compare the differences in antibiotic use between COPD and non-COPD residents, and to explore the effect of COPD on antibiotic use. METHODS:Participants aged 40 years old or over from the Songjiang Adult Cohort were included. Information on prescription and baseline survey was collected based on the health information system. A logit-negative binomial Hurdle model was used to explore correlations between COPD and percentage of antibiotic use and average rate of antibiotic prescribing of different types of antibiotic. Multinomial logistic regression was used to assess the association between COPD and antimicrobial combination therapy and routes of administration. RESULTS:A total of 34576 individuals were included and 1594 (4.6%) were COPD patients. During the 6 years' follow-up, the percentage of antibiotic use for COPD patients was 98.4%, which was 7.88 (95%CI: 5.24-11.85) times of that for non-COPD patients after adjusting for potential confounders. The prescribing rate was 3220 prescriptions (95%CI: 3063.6-3385.2) per 1000 person-years for COPD patients, which was 1.96 (95%CI: 1.87-2.06) times of that for non-COPD patients. Other beta-lactam antibacterials, Macrolides, lincosamides and streptogramins, and quinolone antibacterials were the most commonly used types of antibiotic. Except for aminoglycoside antibacterials, both percentage of antibiotic use and rate of antibiotic prescription were increased in COPD patients. COPD patients were more likely to be prescribed a maximum of two antibiotics (OR=1.34, 95%CI: 1.20-1.50); and were more likely to use antibiotics intravenously (OR=2.77, 95%CI: 2.47-3.11). CONCLUSION:COPD patients were more likely to have increased antibiotic use in a large-scale population-based adult cohort, suggesting COPD patients are a high-priority group for the management of antibiotic use in communities.

目的:分析上海市松江区社区≥65岁高血压人群基线收缩压与脑卒中发病的关系.方法:对基线未患脑卒中的6654例高血压患者进行前瞻性队列研究,采用Cox回归模型分析不同收缩压水平和脑卒中发病的关系.结果:经过中位随访时间4.55年后,新发脑卒中234例,发病密度为779.60/10万人年;限制性3次样条分析结果显示,收缩压水平和脑卒中发病风险存在剂量反应关系;多因素Cox回归分析结果显示,收缩压在130～149 mmHg(1 mmHg=0.133 kPa)和≥150 mmHg与脑卒中发病风险增加有关,经性别、糖尿病、慢性肾病、吸烟、饮酒分层后关联仍存在.结论:老年高血压患者收缩压≥130 mmHg与脑卒中首次发病独立相关,建议将老年高血压人群的理想收缩压降至<130 mmHg,以更好地预防脑卒中的发生.

ObjectivesTo investigate characteristics and influencing factors of short-term variation of systolic blood pressure of community hypertension patients in Shanghai.MethodsBased on the standardized blood pressure measurement data of hypertensive patients in Shanghai （2018‒2021） and the noninfectious chronic disease management system database， coefficient of variation of systolic blood pressure （CV_S） was described and the influencing factors were analyzed.ResultsAmong 112 680 community hypertension patients， males accounted for 46.87% with a median age of 69 years. CV_S was 0.038 6 ± 0.035 0. Generalized linear model analysis showed the following influencing factors of CV_S： gender， females were higher than males， B=0.032， P<0.001； age group， 60‒69 years， 70‒79 years old group， and ≥80 years groups were all higher than <50 years group， B=0.042， 0.056， and 0.074 respectively with P values of 0.020， 0.002， and <0.001 respectively； smoking， smoking cessation and smoking everyday was lower than never smoking， B=-0.032 and-0.028 respectively with P values of 0.023 and 0.007 respectively； systolic blood pressure， 140‒159 mmHg group， 160‒179 mmHg group， and ≥180 mmHg group were lower then <140 mmHg group， B=-0.039， -0.091， and -0.175 respectively with P values all <0.001； and measurement season， autumn was lower than spring， （B=-0.056， P<0.001）. The paired test showed that CV_S calculated from the three measurements was 1.04% higher than that calculated from the two measurements （P<0.001）.ConclusionThe coefficient of variation of systolic blood pressure of community hypertension patients in Shanghai has large variation， and was influenced by many factors.

目的:探究非高密度脂蛋白-胆固醇(non-high-density lipoprotein-cholesterol,non-HDL-C)和总胆固醇/高密度脂蛋白胆固醇(TC/HDL-C)比值与恶性肿瘤发病风险的关联,以评估其在肿瘤预防中的价值.方法:数据来源于2016 年04 月至2017 年11 月在上海松江区部分社区开展的自然人群队列.研究人群为20～74 岁常住居民,并完成了问卷调查、体格检查和血液和尿液生化检测.采用Cox等比例风险回归模型和限制性立方样条函数估计non-HDL-C和TC/HDL-C比值水平与恶性肿瘤的关联及剂量-反应关系.结果:研究共纳入33 414 名研究对象,中位随访时间为 4.88 年,新发肿瘤病例 911 例.non-HDL-C水平与肿瘤发病风险呈负相关,1-SD增量non-HDL-C水平降低9%肿瘤发病风险.TC/HDL-C比值为2.03～2.97 者的肿瘤发病风险增加.在男性和既往无糖尿病病史人群中均显示non-HDL-C的Q4 水平组肿瘤发病风险低于Q1 组[HR(95%CI)=0.74(0.56,0.99),HR(95%CI)=0.79(0.64,0.98)].结论:non-HDL-C水平与恶性肿瘤发病风险有关,是潜在的可改变的肿瘤危险因素.

Abstract Background The correlation between nontraditional lipids and ischemic stroke (IS) is inconsistent and controversial. This study aimed to examine the association of four nontraditional lipids with IS risk in Chinese adults. Methods This prospective community-based cohort study was performed in Songjiang District, Shanghai, China. The study began in 2016 and included 34,294 participants without stroke before the investigation. The association between nontraditional lipids (nonhigh-density lipoprotein cholesterol [non-HDL-C], total cholesterol/high-density lipoprotein cholesterol [TC/HDL-C], triglyceride [TG]/HDL-C, and low-density lipoprotein cholesterol [LDL-C]/HDL-C) and IS was studied with multivariate Cox regression models. The dose–response associations between these four serum lipids and IS were explored using restricted cubic spline (RCS) analysis. Results There were a total of 458 IS cases with 166,380 person-years of follow-up. Compared with the lowest tertiles, the highest tertiles of the nontraditional blood lipids showed greater IS risk after controlling for potential confounders. The hazard ratios (HRs) and 95% confidence intervals (95% CIs) were as follows: TC/HDL-C, 1.63 (1.28–2.07); TG/HDL-C, 1.65 (1.28–2.13); LDL-C/HDL-C, 1.51 (1.18–1.92); and non-HDL-C, 1.43 (1.13–1.81). The fully adjusted RCS curves presented a nonlinear relationship, and the risk increased when the TC/HDL-C, TG/HDL-C, and LDL-C/HDL-C levels were > 3.47, > 0.92, and > 1.98, respectively. Conclusions This community-based cohort study presents a positive association between the four nontraditional lipids and IS incidence. Maintaining relatively low lipid ratios can be beneficial for preventing stroke. Nontraditional lipids can be considered targets for managing blood lipids.

Present studies on the association of fish consumption with risk of stroke have shown controversial results, and this association within the Chinese population remains unknown. We aimed to investigate the association between fish consumption and incidence of total stroke, ischemic stroke and hemorrhagic stroke among adults in China. We analyzed the data of 57,701 adults aged 20–74 years, with no history of stroke, in a prospective cohort study in Shanghai. Fish consumption was calculated from a food frequency questionnaire at baseline and divided into four categories (less than 300, 300–450, 450–600 and more than 600 g/week). Participant information was linked to health information systems in which stroke event information was collected up until 31 December 2021. The hazard ratios (HR) and 95% confidence intervals (CI) of the associations of fish consumption with risk of total stroke, ischemic stroke and hemorrhagic stroke were estimated using cox proportional hazards regression models. Dose–response relationships were estimated using restricted cubic spline analyses. During a median follow-up of 4.56 years, 807 newly developed stroke events were ascertained, including 664 ischemic stroke events and 113 hemorrhagic stroke events. Fish consumption of 300–450 g/week was associated with a reduced risk of total stroke (HR: 0.78, 95% CI: 0.64–0.94) and ischemic stroke (0.70 (0.57–0.88)) compared with fish consumption of less than 300 g/week, after adjustment for comprehensive covariates including sociodemographic characteristics, lifestyle, dietary patterns and disease histories. No significant association was found between fish consumption and hemorrhagic stroke. The findings of our study support the consumption level of fish recommended in the dietary guidelines.

The present high mortality of lung cancer in China stems mainly from the lack of feasible, non-invasive and early disease detection biomarkers. Serum metabolomics profiling to reveal metabolic alterations could expedite the disease detection process and suggest those patients who are harboring disease. Using a nested case-control design, we applied ultra-high-performance liquid chromatography/mass spectrometry (LC-MS)-based serum metabolomics to reveal the metabolomic alterations and to indicate the presence of non-small cell lung cancer (NSCLC) using serum samples collected prior to disease diagnoses. The studied serum samples were collected from 41 patients before a NSCLC diagnosis (within 3.0 y) and 38 matched the cancer-free controls from the prospective Shanghai Suburban Adult Cohort. The NSCLC patients markedly presented cellular metabolism alterations in serum samples collected prior to their disease diagnoses compared with the cancer-free controls. In total, we identified 18 significantly expressed metabolites whose relative abundance showed either an upward or a downward trend, with most of them being lipid and lipid-like molecules, organic acids, and nitrogen compounds. Choline metabolism in cancer, sphingolipid, and glycerophospholipid metabolism emerged as the significant metabolic disturbance of NSCLC. The metabolites involved in these biological processes may be the distinctive features associated with NSCLC prior to a diagnosis.

This study aimed to assess the association of body mass index (BMI)-based and waist circumference (WC)-based metabolic phenotypes with the risk of stroke among Chinese community residents. A total of 34,294 participants (mean ± standard deviation age: 56.05 ± 11.26 years) with no previous stroke diagnosis history were included in this cohort study. BMI-based metabolic phenotypes were classified into eight groups: metabolically healthy and normal weight (MHNW), metabolically healthy and underweight (MHUW), metabolically healthy and overweight (MHOW), metabolically healthy and obese (MHO), metabolically unhealthy and normal weight (MUNW), metabolically unhealthy and underweight (MUUW), metabolically unhealthy and overweight (MUOW), and metabolically unhealthy and obese (MUO). WC-based metabolic phenotypes were classified into four groups: metabolically healthy and normal WC (MHNWC), metabolically healthy and oversized WC (MHOWC), metabolically unhealthy and normal WC (MUNWC), and metabolically unhealthy and oversized WC (MUOWC). The association of these phenotypes with developing stroke events was examined using proportional hazards models. A total of 546 cases of first-stroke onset were recorded over a median follow-up time of 4.97 years. Compared with the reference group, the obesity phenotypes showed higher risks for stroke. The adjusted HRs (95% CIs) of MHUW, MHOW, MHO, MUNW, MUUW, MUOW, and MUO phenotypes were 1.01 (0.41, 2.49), 1.47 (1.09, 2.00), 1.33 (0.80, 2.22), 2.49 (1.87, 3.30), 3.92 (1.44, 10.72), 2.14 (1.64, 2.79), and 2.60 (1.91, 3.55), respectively. The adjusted HRs (95% CIs) of MHOWC, MUNWC, and MUOWC were 1.41 (1.02, 1.94), 2.25 (1.76, 2.87), and 2.16 (1.63, 2.87), respectively. The metabolic phenotypes defined by an alternative definition all showed significant positive associations (except for MHUW), with the adjusted HR ranging from 1.51 to 3.08 based on BMI and from 1.68 to 2.24 based on WC. The risk of stroke increased with the increase in metabolic abnormality numbers in different BMI and WC groups (all p trend < 0.001). The present study suggests that maintaining normal body weight or WC and improving metabolic health are of great significance in preventing cerebrovascular diseases.

[目的]了解重复开展结直肠癌筛查的成效.[方法]以2015-2017年上海市松江区参加结直肠癌筛查的居民为研究对象,比较不同筛查服务次数发现癌前病变和结直肠癌的情况.[结果] 2015-2017年上海市松江区共完成结直肠癌筛查199 456人次,涉及居民137 715人,发现癌前期病变4147人,结直肠癌201人.34.16％的调查对象3年中参与了多次筛查.一次筛查完成初筛137 715人次,实施肠镜检查10 022人次,癌前病变初筛检出率为2070.94/10万,肠镜检出率为28.46％,结直肠癌初筛检出率为94.40/10万,肠镜检出率为1.30％;二次筛查完成初筛47 045人次,实施肠镜检查4142人次,癌前病变初筛检出率为2442.34/10万,肠镜检出率为27.74％,结直肠癌初筛检出率为108.41/10万,肠镜检出率为1.23％;三次筛查完成初筛14 696人次,实施肠镜检查2141人次,癌前病变初筛检出率为4191.62/10万,肠镜检出率为28.77％,结直肠癌初筛检出率为149.70/10万,肠镜检出率为1.03％.二次、三次筛查的癌前病变初筛检出率高于一次筛查,癌前病变及结直肠癌的肠镜检出率差异无统计学意义.[结论]3年内多次实施结直肠癌筛查的效率与一次筛查相近,应提高居民肠镜检查依从性,可对60岁以上男性居民提供多次筛查服务从而提高筛查效益.

目的 了解上海市松江区2013与2011年中老年人吸烟和戒烟流行状况.方法 采用"上海市慢性病及其危险因素监测调查"中的吸烟行为问卷对45岁及以上调查对象的吸烟和戒烟状况进行了调查分析.结果 2013年松江区中老年人吸烟率为32.48%,低于2011年的35.81%;重型吸烟率为16.05%,高于2011年的(9.71%,P<0.05).2011和2013年松江区中老年人现在吸烟率分别为26.86%和24.32%;现在每日吸烟率分别为24.32%和23.06%;戒烟率分别为22.16%和25.13%,均无显著差异.2011和2013年中老年人男性和总的现在吸烟率、现在每日吸烟率、重型吸烟率均随着年龄的增长而降低.2011和2013年中老年人戒烟率随着年龄的增长而升高.2013年45~59岁组现在吸烟率为26.56%,低于2011年的31.54%;现在每日吸烟率为25.09%,低于2011年的(29.75%,P<0.05).结论 上海市松江区中老年人吸烟率有所下降,但重型吸烟率有所升高,尤其是中年人群的状况不容乐观,说明松江区的控烟工作取得了一定成效,但仍应针对重点人群采取更强有力的控烟措施.

1概况 松江区位于长江三角洲内上海市西南部，是上海链接整个长三角、辐射长江流域的核心区域。东与闵行区、奉贤区为邻，南、西南与金山区交界，西北与青浦区接壤。 全区占地面积604．67平方公里。常住人口169．84万人，至年末，共有户籍人口58．40万人，其中男性28．79万人，女性29．61万人，户籍人口中0～14岁占10．31％，15～64岁占74．24％，65岁及以上占15．45％。

2009年上海市松江区开始建设基于健康档案的区域卫生信息平台[1]，解决跨医疗卫生机构之间的诊疗信息和健康档案信息整合与共享，并实现相关业务区域一体化协同管理模式。从2010年起，松江区糖尿病的管理工作模式开始以区域卫生平台为基础进行变革，建立了以糖尿病管理为核心的专项医疗服务档案系统，并集成相关管理和质量控制手段，实现区域糖尿病管理从采集到整合、共享利用及管理控制的信息化，以便为区域糖尿病患者提供更好的服务。现对区域一体化管理模式对松江区糖尿病工作的影响介绍如下。

脑卒中是一组严重危害人民生命健康的疾病。2008年我国公布居民第三次死因抽样调查结果，脑血管病已成为国民第一位的死亡原因。2010年中国心血管病报告我国脑卒中患病人数近1200万人。脑卒中已成为危害国民健康和生命质量的主要疾病。我们对松江区2008-2010年脑卒中发病和死亡状况进行分析，旨在为今后脑卒中的防治工作提供参考。 一资料与方法 1一般资料人口资料由松江区公安局提供。松江区居民2008年为546576人，2010年为567737人，增长了3.87%。根据“上海市心脑血管病防治点工作手册”[1](简称手册)所规定的报病网络对松江区居民发生的脑卒中事件逐级上报，由松江区疾控中心专职医生进行收集、登记、核实，每月及年终统计上报上海市疾控中心。每年查漏报两次，漏报率﹤5%。

脑卒中是多种脑血管疾病的严重表现形式,具有极高的致残率和较高的致死率,是我国近年来主要的致死原因之一.第四次国家卫生服务调查结果显示,调查范围的脑血管病例已由1993年的500万人增加到了1 300万人.而上海市松江区是一个提前于全国水平进入老龄化时代的地区,防止脑卒中工作形势显得更加严峻.我们对松江区2001-2008年脑卒中发病、死亡和复发状况进行了分析,旨在为今后脑卒中的防制工作提供参考.