China faces the greatest challenge from stroke in the world. According to results from the Global Burden of Disease Study 2019, there were 3.94 million new stroke cases, 28.76 million prevalent cases and 2.19 million deaths due to stroke in China in 2019. Furthermore, stroke is also the leading cause of disability-adjusted life-year (DALY) in China, the number of DALYs reached 45.9 million in 2019. Several recent large-scale epidemiological surveys have updated the data on pre-existing conditions contributed to stroke. The age-adjusted prevalence of overweight among Chinese adults aged 18–69 years was 34.4%, and the prevalence of obesity was 16.8% in 2018. 50.9% of Chinese adults ≥18 years of age without history of hypertension had prehypertension in 2018. The weighted prevalence of hypertension in adults was 27.5% in 2018. The weighted prevalence of total diabetes and pre-diabetes diagnosed by the American Diabetes Association criteria were 12.8% and 35.2%, respectively, among Chinese adults ≥18 years of age in 2017. The weighted atrial fibrillation prevalence was 1.8% among Chinese adults ≥45 years of age and equates to being present in an estimated 7.9 million people in China. Data from 1672 tertiary public hospitals in the Hospital Quality Monitoring System (HQMS) showed that 3 411 168 stroke cases were admitted during 2019. Of those, 2 818 875 (82.6%) were ischaemic strokes (ISs), 485 474 (14.2%) were intracerebral haemorrhages (ICHs), 106 819 (3.1%) were subarachnoid haemorrhages (SAHs). The average age was 66 years old, and 59.6% were male. A total of 1379 (<0.1%), 2604 (0.5%), 1250 (1.2%) paediatric strokes (age <18 years) were identified among IS, ICH and SAH, respectively. Over one-third (1 231 519 (36.1%)) of the stroke cases were covered by urban resident basic medical insurance, followed by urban employee basic medical insurance (891 103 (26.1%)) and new rural cooperative medical schema (543 108 (15.9%)). The leading risk factor was hypertension (57.3% for IS, 69.9% for ICH and 44.1% for SAH), and the leading comorbidity was pneumonia or pulmonary infection (10.4% for IS, 34.6% for ICH and 29.7% for SAH). In-hospital death/discharge against medical advice rate was 8.5%, ranging from 6.0% for IS to 20.6% for SAH. The median and IQR of length of stay was 9.0 (6.0–13.0) days, ranging from 10.0 (7.0–13.0) in IS to 14.0 (8.0–22.0) in ICH. Similar data from 2847 secondary public hospitals or private hospitals in the HQMS were also reported. Data from HQMS showed that higher proportions of interprovincial admission to other provinces were seen in Inner Mongolia, Anhui, Tibet and Beijing. Higher proportions of interprovincial admission from other provinces were seen in Beijng, Tianjin, Shanghai and Ningxia. Data from 323 601 strokes from 1337 hospitals in the Chinese Stroke Center Alliance during 2019 demonstrated that the composite scores of guideline-recommended key performance indicators for patients with IS, ICH and SAH were 0.78±0.20, 0.69±0.27 and 0.60±0.31, respectively.

Background and Purpose—: Previous studies showed an inverse association between ideal cardiovascular health (CVH) metrics and the total risk of cardiovascular diseases and stroke. This study aimed to investigate the relationship between ideal CVH metrics and the risks of ischemic and hemorrhagic stroke, respectively. Methods—: We collected information on the 7 ideal CVH metrics (including smoking status, body mass index, dietary intake, physical activity, blood pressure, total cholesterol, and fasting blood glucose) among 91 698 participants from the Kailuan study, China (72 826 men and 18 872 women between the ages of 18 and 98 years), free of myocardial infarction and stroke at baseline (2006–2007). Cox proportional hazards models were used to estimate stroke risk. Results—: During the 4-year follow-up, we identified 1486 incident stroke events (1057 ischemic, 386 intracerebral hemorrhagic, and 43 subarachnoid hemorrhagic). The hazard ratios (95% confidence interval) for total stroke with adherence to 0 (reference), 1, 2, 3, 4, 5, and 6/7 ideal CVH metrics were: 1, 0.92 (0.69–1.23), 0.69 (0.52–0.92), 0.52 (0.39–0.68), 0.38 (0.28–0.51), 0.27 (0.18–0.40), and 0.24 (0.11–0.54), respectively ( P trend <0.01), after adjusting for age, sex, education, income, and hospital. Similar inverse associations were observed for both ischemic and intracerebral hemorrhagic stroke (both P trend <0.01). Conclusions—: We observed a clear inverse gradient relationship between the number of ideal CVH metrics and the risk of stroke in a Chinese population, supporting the importance of ideal health behaviors and factors in stroke prevention.

Introduction: Spontaneous intracerebral hemorrhage (ICH) is one of leading causes of mortality and morbidity worldwide. Several predictive models have been developed for ICH; however, none of them have been consistently used in routine clinical practice or clinical research. In the study, we aimed to develop and validate a risk score for predicting 1-year functional outcome after ICH (ICH Functional Outcome Score, ICH-FOS). Furthermore, we compared discrimination of the ICH-FOS and 8 existing ICH scores with regard to 30-day, 3-month, 6-month, and 1-year functional outcome and mortality after ICH. Methods: The ICH-FOS was developed based on the China National Stroke Registry, in which eligible patients were randomly divided into derivation (60%) and validation (40%) cohorts. Poor functional outcome was defined as modified Rankin Scale score (mRS) ≥3 at 1 year after ICH. Multivariable logistic regression was performed to determine independent predictors, and β-coefficients were used to generate scoring system of the ICH-FOS. The area under the receiver operating characteristic curve (AUROC) and Hosmer-Lemeshow goodness-of-fit test were used to assess model discrimination and calibration. Results: The overall 1-year poor functional outcome (mRS ≥ 3) was 46.7% and 44.9% in the derivation (n = 1,953) and validation (n = 1,302) cohorts, respectively. A 16-point ICH-FOS was developed from the set of independent predictors of 1-year poor functional outcome after ICH including age (P < 0.001), admission National Institutes of Health Stroke Scale score (P < 0.001), Glasgow Coma Scale score (P < 0.001), blood glucose (P = 0.002), ICH location (P < 0.001), hematoma volume (P < 0.001), and intraventricular extension (P < 0.001). The ICH-FOS showed good discrimination (AUROC) in the derivation (0.836, 95% CI: 0.819-0.854) and validation (0.830, 95% CI: 0.808-0.852) cohorts. The ICH-FOS was well calibrated (Hosmer-Lemeshow test) in the derivation (P = 0.42) and validation (P = 0.39) cohort. When compared to 8 prior ICH scores, the ICH-FOS showed significantly better discrimination with regard to 1-year functional outcome and mortality after ICH (all P < 0.0001). Meanwhile, the ICH-FOS also demonstrated either comparable or significantly better discrimination for poor functional outcome and mortality at 30-day, 3-month, and 6-month after ICH. Conclusion: The ICH-FOS is a valid clinical grading scale for 1-year functional outcome after ICH. Further validation of the ICH-FOS in different populations is needed.

Background and Purpose: To investigate the prevalence of malnutrition risk in patients with acute ischemic stroke (AIS) at admission, the association between malnutrition risk and long-term outcomes, and whether the predictive ability would be improved after adding to previous prognostic models for poor outcomes. Methods: Based on the Third China National Stroke Registry data from August 2015 to March 2018, we evaluated malnutrition risk using objective scores, including the controlling nutritional status score, geriatric nutritional risk index, and prognostic nutritional index. The primary outcome was death or major disability (modified Rankin Scale score ≥3) at 1 year after stroke onset. We calculated the crude prevalence of malnutrition risk and investigated the association between malnutrition risk and clinical outcomes. Prognostic performance of 3 objective malnutrition scores for poor outcomes was assessed. Results: Moderate to severe malnutrition risk was identified in 5.89%, 5.30%, and 1.95% of the Third China National Stroke Registry AIS patients according to the controlling nutritional status score, geriatric nutritional risk index, and prognostic nutritional index, respectively. At 1-year follow-up, 1143 participants (13.5%) experienced death or major disability. After adjustment for traditional risk factors, moderate to severe malnutrition risk was associated with high risk of composite events (odds ratio, 2.25 [95% CI, 1.75–2.90], for controlling nutritional status score; odds ratio, 2.10 [95% CI, 1.63–2.69], for geriatric nutritional risk index; odds ratio, 3.36 [95% CI, 2.33–4.84], for prognostic nutritional index; all P <0.01). Addition of the 3 malnutrition scores to different predicted scales (iScore and Acute Stroke Registry and Analysis of Lausanne) improved predictive ability for long-term poor outcomes validated by the integrated discrimination index (all P <0.05). Conclusions: The prevalence of moderate or severe malnutrition risk in Chinese patients with AIS ranged from 1.95% to 5.89%. Malnutrition risk in patients with AIS was associated with increased risk of long-term death and major disability. Our study provides evidence supporting the prognostic significance of objective malnutrition scores after AIS.

Background and Objective: Stress hyperglycemia may occur in diabetic patients with acute severe cerebrovascular disease, but the results regarding its association with stroke outcomes are conflicting. This study aimed to examine the association between stress‐induced hyperglycemia and the occurrence of in‐hospital death in patients with diabetes and acute ischemic stroke.Research Design and Methods: All data were from the Chinese Stroke Center Alliance (CSCA) database and were collected between 2016 and 2018 from >300 centers across China. Patients’ demographics, clinical presentation, and laboratory data were extracted from the database. The primary endpoint was in‐hospital death. The ratio of fasting blood glucose (FBG) to HbA1c was calculated, that is, the stress‐induced hyperglycemia ratio (SHR), to determine stress hyperglycemia following acute ischemic stroke.Results: A total of 168,381 patients were included. The mean age was 66.2 ± 10.7, and 77,688 (43.0%) patients were female. The patients were divided into two groups: survivors (n = 167,499) and non‐survivors (n = 882), as well as into four groups according to their SHR quartiles (n = 42,090–42,099/quartile). There were 109 (0.26%), 142 (0.34%), 196 (0.47%), and 435 (1.03%) patients who died in the Q1, Q2, Q3, and Q4 quartiles, respectively. Compared with Q1 patients, the death risk was higher in Q4 patients (odds ratio (OR) = 4.02) (adjusted OR = 1.80, 95% confidence interval [CI] = 1.10–2.92, p = 0.018 after adjustment for traditional cardiovascular risk factors). The ROC analyses showed that SHR (AUC = 0.667, 95% CI: 0.647–0.686) had a better predictive value for mortality than that of fasting blood glucose (AUC = 0.633, 95% CI: 0.613–0.652) and HbA1c (AUC = 0.523, 95% CI: 0.504–0.543).Conclusions: The SHR may serve as an accessory parameter for the prognosis of patients with diabetes after acute ischemic stroke. Hyperglycemia in stroke patients with diabetes mellitus is associated with a higher risk of in‐hospital death.

Background and Purpose—: Because the blood circulation system of retina and brain are closely related to each other, we examined whether stroke is associated with localized retinal nerve fiber layer defects (RNFLDs). Methods—: Patients with acute ischemic stroke as part of a hospital-based study group were compared with the participants of the population-based group Beijing Eye Study. The retina was imaged by spectral-domain optical coherence tomography for the detection of localized RNFLDs. Results—: The study included 154 patients with acute ischemic stroke and 2890 subjects from the Beijing Eye Study for whom optical coherence tomographic images of the retinal nerve fiber layer and data on a previous cerebral stroke were available. In logistic regression analysis, acute stroke was significantly associated with localized RNFLDs ( P <0.001; odds ratio, 6.23; 95% confidence interval, 4.17–9.30) after adjusting for age, male sex, arterial hypertension, diabetes mellitus, and higher concentration of the C-reactive protein. In a similar manner, previous stroke was associated with localized RNFLDs ( P =0.04; odds ratio, 1.48; 95% confidence interval, 1.02–2.16) in multivariate analysis. In a reverse manner, presence of localized RNFLDs was associated with cerebral stroke ( P <0.001; odds ratio, 3.54; 95% confidence interval, 2.68–4.67) after adjusting for age, sex, and prevalence of diabetes mellitus. Conclusions—: Localized RNFLDs showed a strong association with previous or acute cerebrovascular stroke and vice versa after adjustment for other systemic and ocular factors. Localized RNFLDs that can be assessed by noninvasive optical coherence tomographic imaging may be added to the panoply of retinal morphological features of stroke.