METHODS: Using the national hospital admission records database, we included all stroke patients who were discharged alive between 2008 and 2015 for this secondary data analysis. The risk of readmissions was described in proportion and trends. Reasons were coded according to the International Classification of Diseases, 10th Edition. Multivariable logistic regression was performed to identify factors associated with readmissions.
RESULTS: Among 151729 patients, 11 to 13% were readmitted within 28 days post-discharge from their stroke events each year. The trend was constant for ischemic stroke but decreasing for hemorrhagic stroke. The leading causes for readmissions were recurrent stroke (32.1%), pneumonia (13.0%) and sepsis (4.8%). The risk of 28-day readmission was higher among those with stroke of hemorrhagic (adjusted odds ratio (AOR): 1.52) and subarachnoid hemorrhage (AOR: 2.56) subtypes, and length of index admission >3 days (AOR: 1.48), but lower among younger age groups of 35-64 (AORs: 0.61-0.75), p values <0.001.
CONCLUSION: The risk of 28-day readmission remained constant from 2008 to 2015, where one in eight stroke patients required readmission, mainly attributable to preventable causes. Age, ethnicity, stroke subtypes and duration of the index admission influenced the risk of readmission. Efforts should focus on minimizing potentially preventable admissions, especially among those at higher risk.
METHODS: From the Malaysian National Neurology Registry, we included hypertensive patients with first ischemic stroke who presented within 48 hours from ictus. Antihypertensive drugs were divided into Ang II increasers (angiotensin-I receptor blockers (ARBs), calcium channel blockers (CCBs) and diuretics) and Ang II suppressors (angiotensin-converting-enzyme inhibitors (ACEIs) and beta blockers). We evaluated stroke severity during admission with the National Institute of Health Stroke Scale (NIHSS). We performed a multivariable logistic regression with the score being dichotomized at 15. Scores of less than 15 were categorized as less severe stroke.
RESULTS: A total of 710 patients were included. ACEIs was the most commonly prescribed antihypertensive drug in patients using Ang II suppressors (74%) and CCBs, in patients prescribed with Ang II increasers at 77%. There was no significant difference in the severity of ischemic stroke between patients who were using Ang II increasers in comparison to patients with Ang II suppressors (OR: 1.32, 95%CI: 0.83-2.10, p = 0.24).
CONCLUSION: In our study, we found that use of antihypertensive drugs that increase Ang II formation was not associated with less severe ischemic stroke as compared to use of antihypertensive drugs that suppress Ang II formation.
AIMS: This study aims to examine sex-related differences in stroke metrics across Southeast Asia in 2015. Furthermore, relative changes between sexes are compared from 1990 to 2015.
METHODS: Data were sourced from the Global Burden of Disease Study. Incidence and mortality from ischemic and hemorrhagic strokes were explored with the following statistics derived: (1) women-to-men incidence/mortality ratio and (2) relative percentage change in rate.
RESULTS: Women had lower incidence and mortality from stroke compared to men. Notable findings include higher ischemic stroke incidence for women at 30-34 years in high-income countries (women-to-men ratio: 1.3, 95% CI: 0.1, 16.2 in Brunei and 1.3, 95% CI: 0.5, 3.2 in Singapore) and the largest difference between sexes for ischemic stroke mortality in Vietnam and Myanmar across most ages. Within the last 25 years, greater reductions for ischemic stroke metrics were observed among women compared to men. Nevertheless, women below 40 years in some countries showed an increase in ischemic stroke incidence between 0.5% and 11.4%, whereas in men, a decline from -4.2% to -44.2%. Indonesia reported the largest difference between sexes for ischemic stroke mortality; a reduction for women whereas an increase in men. For hemorrhagic stroke, findings were similar: higher incidence among young women in high-income countries and greater reductions for stroke metrics in women than men over the last 25 years.
CONCLUSIONS: Distinct sex-specific differences observed across Southeast Asia should be accounted in future stroke preventive guidelines.
Objectives: This study investigated trends of stroke incidence and 28-day all-cause mortality after a stroke from 2008 to 2016 in Malaysia, through linkage across national data sources.
Methods: Hospital admissions with a principal diagnosis of stroke or transient ischemic attack were included. Cases with first stroke were identified through linkage of hospital admission registers where age and sex-standardized trends of stroke incidence and its subtypes were calculated. By linking hospital registers to the National Death Register, the 28-day all-cause mortality rates after a stroke were estimated. Mann-Kendall's test was used for trend evaluation.
Results: From 243,765 records, the trend of stroke incidence showed an increase of 4.9% in men and a drop of 3.8% among women. Incidences were higher in men, at 99.1 per 100,000 population in 2008 and 103.9 per 100,000 in 2016 than women (80.3 per 100,000 in 2008 and 77.2 per 100,000 in 2016). There was a substantial increase in stroke incidence among those below 65 years old, with the largest increase of 53.3% in men aged between 35-39 years and 50.4% in women of similar age group. The trend for 28-day all-cause mortality showed a decline for men at -13.1% and women, -10.6%. Women had higher mortality from stroke (22.0% in 2008 and 19.7% in 2016) than men (19.4% in 2008 to 17.2% in 2016).
Conclusion: This first empirical study on stroke trends in Malaysia revealed a worrying increase in stroke incidence among the younger population. Despite a declining trend, mortality rates remained moderately high especially in women. Comprehensive strategies to strengthen the prevention and management of stroke care are warranted.
METHODS: From Malaysian National Stroke Registry, we included patients with non-fatal ischemic stroke. Prescriptions of antiplatelet, anticoagulants, antihypertensive drugs and lipid-lowering drugs were assessed. Multi-level logistic regressions were performed to determine the relation between potential factors and drug prescriptions.
RESULTS: Of 5292 patients, 48% received antihypertensive drugs, 88.9% antiplatelet and 88.7% lipid-lowering drugs upon discharge. Thirty-three percent of patients with an indication for anticoagulants (n = 391) received it. Compared to patients <=50 years, patients above 70 years were less likely to receive antiplatelet (OR: 0.72, 95% CI: 0.50-1.03), lipid-lowering drugs (OR: 0.66, 95% CI: 0.45-0.95) and anticoagulants (OR: 0.27, 95% CI: 0.09-0.83). Patients with moderate to severe disability upon discharge had less odds of receiving secondary preventive drugs; an odds ratio of 0.57 (95% CI: 0.45-0.71) for antiplatelet, 0.86 (95% CI: 0.75-0.98) for antihypertensive drugs and 0.78 (95% CI: 0.63-0.97) for lipid-lowering drugs in comparison to those with minor disability. Having prior specific comorbidities and drug prescriptions significantly increased the odds of receiving these drugs. No differences were found between sexes and ethnicities.
CONCLUSIONS: Prescription of antihypertensive drugs and anticoagulants among ischemic stroke patients in Malaysia were suboptimal. Efforts to initiate regular clinical audits to evaluate the uptake and effectiveness of secondary preventive strategies are timely in low and middle-income settings.
METHODS: A systematic search for prediction models for at least 50 per cent ACS in patients with LEAD was conducted. A prediction model in screened patients from the USA with an ankle : brachial pressure index of 0.9 or less was subsequently developed, and assessed for discrimination and calibration. External validation was performed in two independent cohorts, from the UK and the Netherlands.
RESULTS: After screening 4907 studies, no previously published prediction models were found. For development of a new model, data for 112 117 patients were used, of whom 6354 (5.7 per cent) had at least 50 per cent ACS and 2801 (2.5 per cent) had at least 70 per cent ACS. Age, sex, smoking status, history of hypercholesterolaemia, stroke/transient ischaemic attack, coronary heart disease and measured systolic BP were predictors of ACS. The model discrimination had an area under the receiver operating characteristic (AUROC) curve of 0.71 (95 per cent c.i. 0.71 to 0.72) for at least 50 per cent ACS and 0.73 (0.72 to 0.73) for at least 70 per cent ACS. Screening the 20 per cent of patients at greatest risk detected 12.4 per cent with at least 50 per cent ACS (number needed to screen (NNS) 8] and 5.8 per cent with at least 70 per cent ACS (NNS 17). This yielded 44.2 and 46.9 per cent of patients with at least 50 and 70 per cent ACS respectively. External validation showed reliable discrimination and adequate calibration.
CONCLUSION: The present risk score can predict significant ACS in patients with LEAD. This approach may inform targeted screening of high-risk individuals to enhance the detection of ACS.
METHODS: We used data from an ongoing individual participant meta-analysis involving 17 population-based cohorts worldwide. We selected 60,211 participants without cardiovascular disease at baseline with available data on ethnicity (White, Black, Asian or Hispanic). We generated a multivariable linear regression model containing risk factors and ethnicity predicting mean common carotid intima-media thickness (CIMT) and a multivariable Cox regression model predicting myocardial infarction or stroke. For each risk factor we assessed how the association with the preclinical and clinical measures of cardiovascular atherosclerotic disease was affected by ethnicity.
RESULTS: Ethnicity appeared to significantly modify the associations between risk factors and CIMT and cardiovascular events. The association between age and CIMT was weaker in Blacks and Hispanics. Systolic blood pressure associated more strongly with CIMT in Asians. HDL cholesterol and smoking associated less with CIMT in Blacks. Furthermore, the association of age and total cholesterol levels with the occurrence of cardiovascular events differed between Blacks and Whites.
CONCLUSION: The magnitude of associations between risk factors and the presence of atherosclerotic disease differs between race/ethnic groups. These subtle, yet significant differences provide insight in the etiology of cardiovascular disease among race/ethnic groups. These insights aid the race/ethnic-specific implementation of primary prevention.
METHODS: Individual participant data from 14 cohorts, involving 59,025 individuals were used in this cross-sectional analysis. We made 15 clusters of four risk factors (current smoking, overweight, elevated blood pressure, elevated total cholesterol). Multilevel age and sex adjusted linear regression models were applied to estimate mean differences in common carotid intima-media thickness (CIMT) between clusters using those without any of the four risk factors as reference group.
RESULTS: Compared to the reference, those with 1, 2, 3 or 4 risk factors had a significantly higher common CIMT: mean difference of 0.026 mm, 0.052 mm, 0.074 mm and 0.114 mm, respectively. These findings were the same in men and in women, and across ethnic groups. Within each risk factor cluster (1, 2, 3 risk factors), groups with elevated blood pressure had the largest CIMT and those with elevated cholesterol the lowest CIMT, a pattern similar for men and women.
CONCLUSION: Clusters of risk factors relate to increased common CIMT in a graded manner, similar in men, women and across race-ethnic groups. Some clusters seemed more atherogenic than others. Our findings support the notion that cardiovascular prevention should focus on sets of risk factors rather than individual levels alone, but may prioritize within clusters.