Body mass index and stroke incidence in Japanese community residents: The Jichi Medical School (JMS) Cohort Study

Prevalence, sociodemographic, and clinical correlates of underweight in a sample of Chinese male alcohol-dependent patients

BACKGROUND

Underweight is a significant symptom in alcohol-dependent patients, yet few studies have examined underweight in Chinese male patients. The current study aimed to identify the prevalence, sociodemographic, and clinical correlates of underweight in Chinese male patients with alcohol dependency.

METHODS

In this cross-sectional study, 405 male inpatients with alcohol dependence and 383 healthy male controls were recruited. Participants' demographic and clinical data, including anthropometric data, were collected. We first conducted univariate analysis to identify seven variables with significant differences between groups: smoking behavior, hospitalization, alcohol consumption, cerebral infarction, hypertension, Hamilton Depression Scale (HAMD) score, and Scale for Assessment of Negative Symptom (SANS) score. Then, binary logistic regression was used to assess their relationship with underweight, with a significance level of .05.

RESULTS

The prevalence of underweight was significantly higher in the study population than in the control group (2.99% vs. 2.87%; P < .001). Patients with underweight had significantly higher rates of smoking behavior and cerebral infarction, as well as higher scores of SANS and HAMD than non-underweight patients. The non-underweight patients had higher daily alcohol consumption and times of hospitalization. Furthermore, logistic regression analysis showed that smoking behavior [odds ratio (OR) = 2.84, 95% confidence interval (CI) = 1.03-7.80, P = .043)], cerebral infarction (OR = 5.20, 95% CI = 1.13-23.85, P = .036), SANS score (OR = 1.22, 95% CI = 1.16-1.28, P < .001), and HAMD score (OR = 1.06, 95% CI = 1.02-1.11, P = .005) were associated with underweight.

CONCLUSIONS

More than 20% of male alcohol-dependent patients in a Chinese sample were underweight. Some demographic and clinical variables independent correlates for underweight in alcohol-dependent patients. We need to focus on alcohol-dependent patients with smoking, cerebral infarction, depression, and more prominent negative symptoms.

Non-linear dose-response relationship between body mass index and stroke risk in middle-aged and elderly Chinese men: a nationwide Longitudinal Cohort Study from CHARLS

Objective

Body mass index (BMI) and stroke risk have been linked, but these findings are still debated. This study investigated the relationship between BMI and stroke risk in a middle-aged and elderly Chinese population.

Methods

This study used four waves of CHARLS data (2011, 2013, 2015, and 2018), including 12,161 participants. The CHARLS sample was obtained by multi-stage probability sampling and all participants were assessed by one-to-one interviews using a standardized questionnaire. We used a Cox proportional-hazards regression model to examine the relationship between BMI and stroke risk. We used Cox proportional hazards regression with cubic spline functions and smooth curve fitting to identify the non-linear relationship between them. A series of sensitivity analyses were also conducted.

Results

The multivariate Cox proportional hazards regression model identified a positive association between BMI and stroke risk (HR=1.025, 95% CI: 1.010-1.040). We also found a non-linear relationship between BMI and stroke incidence, with an inflection point at 26.63 kg/m2 for BMI. Each 1 kg/m2 increase in BMI to the left of the inflection point was related to a 4.4% increase in stroke risk (HR=1.044, 95% CI: 1.019-1.069). We stratified individuals by gender to further investigate their association and found a particular non-linear relationship and saturation effect between BMI and stroke risk in men, with the inflection point at 25.94 kg/m2. Each 1 kg/m2 increase in BMI to the left of the inflection point was related to a 7.6% increase in stroke risk (HR=1.076, 95% CI 1.034-1.119). The association was linear in women, with each 1 kg/m2 increase in BMI associated with a 2.1% increase in stroke risk (HR=1.021, 95% CI 1.002, 1.040).

Conclusion

In men, there was a specific non-linear association and saturation effect of BMI with stroke (inflection point of 25.94 kg/m2), while in women, there was none. When males had a BMI below 25.94 kg/m2, the risk of stroke was significantly and positively associated with BMI. By controlling BMI below 25.94 kg/m2 in men, a further decrease in BMI may promote a significant reduction in stroke risk.

Risk factors for postoperative cerebral infarction in Lung Cancer patients: a retrospective study

BACKGROUND

Postoperative cerebral infarction is a rare but serious complication after lung cancer surgery. We aimed to investigate the risk factors and evaluate the efficiency of our devised surgical procedure to prevent cerebral infarction.

METHODS

We retrospectively examined 1,189 patients who underwent a single lobectomy for lung cancer at our institution. We identified the risk factors for cerebral infarction and investigated the preventive effects of performing resection of the pulmonary vein as the last step of the surgical procedure during left upper lobectomy.

RESULTS

Among the 1,189 patients, we identified 5 male patients (0.4%) with postoperative cerebral infarction. All five underwent left-sided lobectomy including three upper and two lower lobectomies. Left-sided lobectomy, a lower forced expiratory volume in 1 s, and lower body mass index were associated with postoperative cerebral infarction (Ps < 0.05). The 274 patients who underwent left upper lobectomy were stratified by two procedures: lobectomy with resection of the pulmonary vein as the last step of the surgical procedure (n = 120) and the standard procedure (n = 154). The former procedure significantly shortened the length of the pulmonary vein stump when compared with the standard procedure (mean stump length: 15.1 vs. 18.6 mm, P < 0.01), and the shorter pulmonary vein might possibly prevent postoperative cerebral infarction (frequency: 0.8% vs. 1.3%, Odds ratio: 0.19, P = 0.31).

CONCLUSIONS

Resecting the pulmonary vein as the last step during the left upper lobectomy enabled the length of the pulmonary stump to be significantly shorter, which may contribute to preventing cerebral infarction.

Body mass index and stroke risk among patients with diabetes mellitus in Korea

Background

Obesity and diabetes mellitus (DM) are both associated with cardiovascular disease. This study aimed to evaluate the association between body mass index (BMI) and stroke risk among patients with DM in Korea since relatively few studies have analyzed this area in detail.

Methods

We analyzed a total of 56,051 DM patients aged >30 years from the Korean National Health Insurance Service Cohort who had undergone at least one national health examination between 2002 and 2012. BMI scores were divided into six categories, while hazard ratios for stroke were calculated using Cox proportional hazard models.

Results

Overall stroke risk was positively associated with BMI for both men and women. For ischemic stroke, the risk was positively associated with BMI in women. However, for me, only patients with the highest BMI were at increased risk compared with patients with a BMI of 20–22.4 kg/m². For hemorrhagic stroke, the risk was significantly associated with BMI with a U-shaped association in men. In women, only patients with the lowest BMI had an increased risk of hemorrhagic stroke compared with patients that have a BMI of 20–22.4 kg/m².

Conclusion

BMI was positively associated with the overall risk of stroke among DM patients in Korea. The risk of ischemic stroke was higher in obese patients compared to overweight or normal-weight patients. However, the risk of hemorrhagic stroke was higher in slimmer patients compared with overweight or obese patients.

The relationship between body mass index and stroke: a systemic review and meta-analysis

BACKGROUND

Stroke is an acute cerebrovascular event closely related to brain tissue damage, and is one of the major causes of death and disability in worldwide. Various studies have reported the effects of body mass index (BMI) on the risk of stroke, but the results remain varied and these results have not been synthesized. Therefore, a meta-analysis was performed to evaluate the relationship between BMI and the risk of stroke.

OBJECTIVES

This systematic review was conducted to explore the relationship between BMI and the risk of stroke.

METHODS

PubMed, EMBASE, Web of Science and Cochrane Library, China Knowledge Resource Integrated Database (CNKI), WanFang Database, Chinese Biomedical Database (CBM), and CQVIP were comprehensively searched for studies exploring the relationship between BMI and stroke from inception to December 1, 2021.

RESULTS

This review included 24 studies involving 5,798,826 subjects. The results of meta-analysis showed that the pooled RR of stroke risk was 0.93 (95% confidence interval [CI] 0.82-1.06, I² = 88.8%, P = 0.29) for the underweight group. Higher BMI (overweight or obese group) was associated with an increased overall risk of stroke, with pooled RR values of 1.25 (95% CI 1.16-1.34, I² = 84.8%, P = 0.00) and 1.47 (95% CI: 1.02-2.11, I² = 99.4%, P = 0.04).

CONCLUSION

The risk of stroke was positively correlated with BMI, and the association was stronger in male and ischemic stroke. Lowering BMI can be used as a way to prevent stroke, and for people who are overweight or obese, lowering body weight can reduce the risk of stroke.

Contribution of metabolic risk factors and lifestyle behaviors to cardiovascular disease: A mendelian randomization study

BACKGROUND AND AIMS

Etiologic associations between some modifiable factors (metabolic risk factors and lifestyle behaviors) and cardiovascular disease (CVD) remain unclear. To identify targets for CVD prevention, we evaluated the causal associations of these factors with coronary artery disease (CAD) and ischemic stroke using a two-sample Mendelian randomization (MR) method.

METHODS AND RESULTS

Previously published genome-wide association studies (GWASs) for blood pressure (BP), glucose, lipids, overweight, smoking, alcohol intake, sedentariness, and education were used to identify instruments for 15 modifiable factors. We extracted effects of the genetic variants used as instruments for the exposures on coronary artery disease (CAD) and ischemic stroke from large GWASs (N = 60 801 cases/123 504 controls for CAD and N = 40 585 cases/406 111 controls for ischemic stroke). Genetically predicted hypertension (CAD: OR, 5.19 [95% CI, 4.21-6.41]; ischemic stroke: OR, 4.92 [4.12-5.86]), systolic BP (CAD: OR, 1.03 [1.03-1.04]; ischemic stroke: OR, 1.03 [1.03-1.03]), diastolic BP (CAD: OR, 1.05 [1.05-1.06]; ischemic stroke: OR, 1.05 [1.04-1.05]), type 2 diabetes (CAD: OR, 1.11 [1.08-1.15]; ischemic stroke: OR, 1.07 [1.04-1.10]), smoking initiation (CAD: OR, 1.26 [1.18-1.35]; ischemic stroke: OR, 1.24 [1.16-1.33]), educational attainment (CAD: OR, 0.62 [0.58-0.66]; ischemic stroke: OR, 0.68 [0.63-0.72]), low-density lipoprotein cholesterol (CAD: OR, 1.55 [1.41-1.71]), high-density lipoprotein cholesterol (CAD: OR, 0.82 [0.74-0.91]), triglycerides (CAD: OR, 1.29 [1.14-1.45]), body mass index (CAD: OR, 1.25 [1.19-1.32]), and alcohol dependence (OR, 1.04 [1.03-1.06]) were causally related to CVD.

CONCLUSION

This systematic MR study identified 11 modifiable factors as causal risk factors for CVD, indicating that these factors are important targets for preventing CVD.

Weight Change over 4 Years and Risk of Cardiovascular Diseases in China: The China Health and Retirement Longitudinal Study

INTRODUCTION

Previous studies had reported the impact of weight changes in middle age on the incidence of cardiovascular disease (CVD), but the results were inconsistent. In present study, we aimed to investigate the impact of a 4-year weight change on the risk of CVD in middle-aged and elderly Chinese individuals.

METHODS

Using nationally representative data from the China Health and Retirement Longitudinal Study, 7,530 participants (age: 58.2 ± 8.9 years) were included. Weight change was calculated by subtracting weight at baseline from that at 4-year follow-up. Weight change over 4 years was divided into 5 categories (loss ≥5 kg; loss 2-5 kg; stable (change ≤2 kg); gain 2-5 kg; and gain ≥5 kg).

RESULTS

During the follow-up period, a total of 758 respondents experienced CVD (including 319 stroke and 477 cardiac events). The multivariable ORs of CVD for gain ≥5 kg compared to stable weight (change ≤2 kg) was 1.50 (95% CI, 1.14-1.97) versus 1.41(1.09-1.83) for losing ≥5 kg. Multivariable-adjusted logistic regression model with restricted cubic splines showed a U-shaped association between weight change and the risk of CVD (p for nonlinearity <0.001). The significant associations did not change in subgroup and sensitivity analysis. Weight change was also associated with higher risk of stroke and cardiac events.

CONCLUSION

Weight changes (weight gain or loss more than 5 kg) during middle age were associated with an increased risk of CVD in middle-aged and elderly Chinese individuals.

Weight Change Since Age 20 and the Risk of Cardiovascular Disease Mortality: A Prospective Cohort Study

Aim: Weight change could have many health outcomes. This study aimed to investigate the association between weight change and mortality risk due to total cardiovascular disease (CVD), ischemic heart disease (IHD), and stroke among Japanese.

Methods: We used Suita Study data from 4,746 people aged 30-79 years in this prospective cohort study. Weight change was defined as the difference between baseline weight and weight at age 20. We used Cox proportional hazards models to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) of total CVD, IHD, and stroke mortality for 1) participants with a weight change (＞10, 5 to 10, -5 to -10, and ＜-10 kg) compared to those with stable weight (-4.9 to 4.9 kg) and 2) participants who moved from one body mass index category (underweight, normal weight, or overweight) to another compared to those with normal weight at age 20 and baseline.

Results: Within a median follow-up period of 19.9 years, the numbers of total CVD, IHD, and stroke mortality were 268, 132, and 79, respectively. Weight loss of ＞10 kg was associated with the increased risk of total CVD mortality 2.07 (1.29, 3.32) and stroke mortality 3.02 (1.40, 6.52). Moving from normal weight at age 20 to underweight at baseline was associated with the increased risk of total CVD, IHD, and stroke mortality: 1.76 (1.12, 2.77), 2.10 (1.13, 3.92), and 2.25 (1.05, 4.83), respectively.

Conclusion: Weight loss, especially when moving from normal to underweight, was associated with the increased risk of CVD mortality.

Sex-specific association of BMI change with stroke in middle-aged and older adults with type 2 diabetes

BACKGROUND AND AIMS

We aimed to evaluate the association between BMI change and stroke in middle-aged and older adults with type 2 diabetes and identify sex differences.

METHODS AND RESULTS

The China Health and Retirement Longitudinal Study is an ongoing national population-based cohort study. Participants aged 45 or above with type 2 diabetes were enrolled and followed for stroke incidence. BMI change was defined as BMI at 2013-BMI at 2011. Of 1774 participants (mean [SD] age in 2011, 60.23 [8.88] years), 795 (44.8 %) were men. A total of 112 incident stroke cases were confirmed up to 2018. The incidence rate of stroke was similar between men and women (6.79 % vs 5.92 %, P = 0.516). BMI increase was independently associated with an increased stroke risk (adjusted odds ratio, 1.15; 95 % CI, 1.05-1.31) in men, while this positive association was not significant in women (adjusted odds ratio, 1.12; 95 % CI, 0.98-1.29). In addition, the positive dose-response relationship between BMI increase and stroke was observed only in men.

CONCLUSION

Among middle-aged and older adults with type 2 diabetes, there is a sex-specific association of BMI change with stroke. An increase in BMI could result in a higher risk of incident stroke in men.

The risk of ischemic stroke and hemorrhagic stroke in Chinese adults with low-density lipoprotein cholesterol concentrations < 70 mg/dL

BACKGROUND

The risk of stroke in individuals with very low low-density lipoprotein cholesterol (LDL-C) concentrations remains high. We sought to prioritize predictive risk factors for stroke in Chinese participants with LDL-C concentrations < 70 mg/dL using a survival conditional inference tree, a machine learning method.

METHODS

The training dataset included 9327 individuals with LDL-C concentrations < 70 mg/dL who were free of cardiovascular diseases and did not use lipid-modifying drugs from the Kailuan I study (N = 101,510). We examined the validity of this algorithm in a second Chinese cohort of 1753 participants with LDL-C concentrations < 70 mg/dL from the Kailuan II study (N = 35,856).

RESULTS

During a mean 8.5-9.0-year follow-up period, we identified 388 ischemic stroke cases and 145 hemorrhagic stroke cases in the training dataset and 20 ischemic stroke cases and 8 hemorrhagic stroke cases in the validation dataset. Of 15 examined predictors, poorly controlled blood pressure and very low LDL-C concentrations (≤ 40 mg/dL) were the top hierarchical predictors of both ischemic stroke risk and hemorrhagic stroke risk. The groups, characterized by the presence of 2-3 of aforementioned risk factors, were associated with a higher risk of ischemic stroke (hazard ratio (HR) 7.03; 95% confidence interval (CI) 5.01-9.85 in the training dataset; HR 4.68, 95%CI 1.58-13.9 in the validation dataset) and hemorrhagic stroke (HR 3.94, 95%CI 2.54-6.11 in the training dataset; HR 4.73, 95%CI 0.81-27.6 in the validation dataset), relative to the lowest risk groups (presence of 0-1 of these factors). There was a linear association between cumulative average LDL-C concentrations and stroke risk. LDL-C concentrations ≤ 40 mg/dL was significantly associated with increased risk of ischemic stroke (HR 2.07, 95%CI 1.53, 2.80) and hemorrhagic stroke (HR 2.70, 95%CI 1.70, 4.30) compared to LDL-C concentrations of 55-70 mg/dL, after adjustment for age, hypertension status, and other covariates.

CONCLUSION

Individuals with extremely low LDL-C concentrations without previous lipid-modifying treatment could still be at high stroke risk.

TRIAL REGISTRATION

Chinese Clinical Trial Register, ChiCTR-TNRC-11001489 . Registered on 24-08-2011.

Effect of Post-Stroke Rehabilitation on Body Mass Composition in Relation to Socio-Demographic and Clinical Factors

Background and objectives: Stroke is one of the leading causes of morbidity, mortality and long-term adult disability. The aim of this study was to assess the changes in body mass composition in patients after stroke in connection with selected socio-demographic and clinical factors (sex, age, type of stroke and time from the first symptoms) following the rehabilitation process. Materials and Methods: The study group consisted of 100 post-stroke subjects who participated in a comprehensive rehabilitation program for a duration of five weeks. The measurements of body composition by a Tanita MC 780 MA analyser were performed on the day of admission to hospital, on the day of discharge (after 5 weeks) and 12 weeks after discharge from hospital. Results: It was shown that before rehabilitation (Exam I) in the study group there were significant differences in body composition relative to sex, age and time from stroke. The rates of fat mass % and visceral fat level decreased after rehabilitation (Exam II) in both males and females. Exam II, at the end hospital rehabilitation, showed lower levels of fat mass %, visceral fat level, as well as fat-free mass % and higher values of total body water % and muscle mass %. In Exam III, i.e., 12 weeks after discharge, all of the parameters retained their values. Conclusions: The study shows an association between stroke risk factors (primarily age, sex and time from the onset of the first symptoms of stroke) and body mass composition resulting from rehabilitation. The type of stroke and the effects of rehabilitation on body mass components showed no differences. Comprehensive rehabilitation had a positive effect on the body mass components.

The importance of stroke as a risk factor of cognitive decline in community dwelling older and oldest peoples: the SONIC study

Background

Cognitive impairment is a major health concern among older and oldest people. Moreover, stroke is a relevant contributor for cognitive decline and development of dementia. The study of cognitive decline focused on stroke as the important risk factor by recruiting older and oldest is still lagging behind. Therefore, the aim of this study was to investigate the importance of stroke as a risk factor of cognitive decline during 3 years in community dwelling older and oldest people.

Methods

This study was longitudinal study with a 3-year follow-up in Japan. The participants were 1333 community dwelling older and oldest people (70 years old = 675, 80 years old = 589, and 90 years old = 69). Data collected included basic data (age, sex, and history of stroke), vascular risk factors (hypertension, diabetes mellitus, dyslipidemia, atrial fibrillation, and current smoking), and social factors (educational level, frequency of going outdoors, long-term care (LTC) service used, and residential area). The Japanese version of the Montreal Cognitive Assessment (MoCA-J) was decline of ≥2 points was defined as cognitive decline. Multiple logistic regression analysis was used to investigate the association between stroke and other risk factors with cognitive decline during a 3-year follow-up.

Results

The fit of the hypothesized model by multiple logistic regression showed that a history of stroke, advanced age, and greater MoCA-J score at the baseline were important risk factors, while the presence of dyslipidemia and a higher educational level were protective factors that were significantly correlated with cognitive decline during the 3-year follow-up.

Conclusions

The cognitive decline after the 3-year follow-up was influenced by the history of stroke and advanced age, while greater MoCA-J score at the baseline was positively associated with subsequent 3 years cognitive decline. The protective factors were the presence of dyslipidemia and a higher educational level. Therefore, these factors are considered important and should be taken into consideration when searching for creative solutions to prevent cognitive decline after stroke in community dwelling older and oldest people.

Association between Body Mass Index and Stroke Risk Among Patients with Type 2 Diabetes

CONTEXT

Very few studies focused on the association between body mass index (BMI) and stroke risk among patients with diabetes.

OBJECTIVE

We aimed to investigate the association between BMI and stroke risk in patients with type 2 diabetes.

DESIGN

Demographic, anthropometric, laboratory, and medication information were extracted from the National Patient-Centered Clinical Research Network common data model.

PARTICIPANTS

We performed a retrospective cohort study of 67 086 patients with type 2 diabetes.

MAIN OUTCOME MEASURES

Incident stroke including both ischemic and hemorrhagic stroke were defined.

RESULTS

During a mean follow up of 3.74 years. 8918 incident stroke events occurred. Multivariable-adjusted hazard ratios across different categories of BMI at baseline (18.5-24.9 [reference group], 25.0-29.9, 30.0-34.9, 35.0-39.9, and ≥40 kg/m2) were 1.00, 0.92, 0.85, 0.74, and 0.63 (Ptrend <0.001) for total stroke; 1.00, 0.93, 0.88, 0.77, and 0.65 (Ptrend <0.001) for ischemic stroke; and 1.00, 0.79, 0.50, 0.50, and 0.41 (Ptrend <0.001) for hemorrhagic stroke, respectively. When we used an updated mean value of BMI, the graded inverse association of body mass index with stroke risk did not change. This linear association was consistent among patients of different subgroups. Further sensitivity analysis excluding patients who were diagnosed stroke within 6 months after first diagnosis of type 2 diabetes or including non-smokers only also confirmed our findings.

CONCLUSION

The present study found an inverse association between BMI and the risk of total, ischemic, and hemorrhagic stroke among patients with type 2 diabetes. More clinical and molecular insights are still needed in explaining these findings.

Association between anthropometric indices of obesity and risk of cardiovascular disease in Japanese men

Objectives

We aimed to compare the association of body mass index (BMI), waist circumference (WC), and waist‐to‐height ratio (WHtR) with risk of cardiovascular disease (CVD) among middle‐aged working Japanese men.

Methods

A nested case‐control study was performed among middle‐aged male employees who underwent periodic health checkup. A total of 241 CVD cases were identified and matched individually on age, gender, and worksite with 1205 controls. Data on BMI, WC, WHtR, smoking, hypertension, diabetes, and dyslipidemia collected at 4 years before the event/index date were retrieved. Associations between BMI, WC, WHtR, and CVD risk were assessed by using conditional logistic regression models.

Results

The strength of the association of BMI, WC, and WHtR with CVD risk was similar. The smoking‐adjusted odds ratio (95% confidence interval) for CVD was 1.60 (1.38‐1.85), 1.53 (1.33‐1.78), and 1.56 (1.35‐1.81) for a 1 SD unit increase in BMI, WC, and WHtR respectively. After further adjustment for hypertension, diabetes, and dyslipidemia, these associations were attenuated but remained statistically significant.

Conclusions

Measures of general (BMI) and abdominal (WC and WHtR) obesity were similarly associated with CVD in middle‐aged Japanese men.

Body Mass Index and Risks of Incident Ischemic Stroke Subtypes: The Japan Public Health Center-Based Prospective (JPHC) Study

BACKGROUND

The association of body mass index (BMI) with risks of ischemic stroke subtypes have not been established.

METHODS

Cumulative average BMI was calculated using self-reported body weight and height obtained from baseline (Cohort I in 1990, and Cohort II from 1993-1994) and 5- and 10-year questionnaire surveys of Japan Public Health Center-based prospective (JPHC) study. A total of 42,343 men and 46,413 women aged 40-69 years were followed-up for the incidence of lacunar, large-artery occlusive, and cardioembolic strokes. A sub-distribution hazard model was used to estimate sub-distribution hazard ratios (SHRs) and the 95% confidence intervals (CIs).

RESULTS

During a median of 20.0 years of follow-up, we documented 809 and 481 lacunar, 395 and 218 large-artery occlusive, and 568 and 298 cardioembolic strokes in men and women, respectively. After adjustment for baseline age, updated smoking, alcohol consumption, leisure-time physical activity, and histories of hypertension, dyslipidemia, and diabetes mellitus, cumulative average BMI was positively linearly associated with lacunar (trend P = 0.007), large-artery occlusive (trend P = 0.002), and cardioembolic (trend P < 0.001) strokes in men, and with lacunar (trend P < 0.001) and large-artery occlusive (trend P = 0.003) strokes in women. There were approximately two-fold excess risk of cardioembolic stroke in both sexes and of lacunar and large-artery occlusive strokes in women for cumulative average BMI ≥30 kg/m² compared to BMI 23-<25 kg/m².

CONCLUSION

Cumulative average BMI showed a positive linear effect on sub-distribution hazards of lacunar, large-artery occlusive, and cardioembolic strokes in both sexes, except for cardioembolic stroke in women.

Sleep-disordered breathing and stroke: chicken or egg?

The bidirectional interaction between sleep-disordered breathing (SDB) and stroke has been the subject of many studies. On the one hand, different forms of SDB, and especially obstructive sleep apnea, increase the risk of stroke either directly or indirectly by influencing other known cardiovascular risk factors such as arterial hypertension and arrhythmias. On the other hand, stroke itself can cause either de novo appearance of SDB, aggravate a pre-existing SDB, or trigger a transition from one type of pathological SDB pattern into another. In this review, we discuss some aspects of this "chicken or egg" relationship.

A J-shaped relation of BMI and stroke: Systematic review and dose-response meta-analysis of 4.43 million participants

BACKGROUND AND AIM

Many studies have shown increased risk of stroke with greater adiposity as measured by body mass index (BMI), but questions remain about the shape of the dose-response relation. We conducted a systematic review and meta-analysis of prospective studies to clarify the strength and shape of the dose-response relation between BMI and risk of stroke.

METHODS AND RESULTS

PubMed and Embase databases were searched for articles published up to May 11, 2018. Random-effects generalized least-squares regression models were used to estimate study-specific dose-response association, and restricted cubic splines were used to model the association. We included reports of 44 prospective cohort studies describing 102 466 incident cases among 4 432 475 participants. With a 5-unit increment in BMI, the summary relative risk for stroke incidence was 1.10 (95% confidence interval, 1.06 to 1.13; I² = 88.0%). The dose-response relation was J-shaped (P_{non-linearity} <0.001). The risk was not increased at the low BMI range (<24 kg/m²), but was increased within the high BMI range (>25 kg/m²).

CONCLUSION

Both overweight and obesity increase the risk of stroke with a J-shaped dose-response relation, and the nadir of the curve was observed at BMI 23-24 kg/m².

Factors related to 6-month mortality after the first-ever stroke

BACKGROUND AND OBJECTIVE

Stroke is the second leading cause of death worldwide and the number of stroke cases has increased remarkably over the last 20 years. This study aimed at identifying predictors of with 6-month mortality of first-ever stroke patients and the factors contributing to it in East Azerbaijan province.

MATERIALS AND METHODS

A closed cohort study was carried out from April 2014 to December 2014. All cases of first-ever diagnosed stroke were included in the study. Any transient ischemic attack, silent brain infarctions, and the stroke cases which were neither associated with trauma, blood disease nor with malignancy were excluded from the study. The variables of this study include participants' demographic characteristics, stroke severity National Institutes of Health Stroke Scale (NIHSS), and stroke risk factors. Patients were followed up within 6 months. To determine the survival time, the log-rank method was applied to compare intergroup differences. The tests include the univariate and multivariate analysis Cox regression. P < 0.05 were considered as statistically significant.

RESULTS

A total of 576 cases of stroke were included in this study. Average age of ischemic and hemorrhagic stroke was 70.15 ± 13.0 and 67.79 ± 12.69, respectively. Case-fatality rate (CFR) of stroke patients was 49.2 and 21.7% in hemorrhagic and ischemic stroke types, respectively. Factors contributing to stroke mortality events include the severity of stroke (NIHSS categories 15-19 and ≥20), age over 65, being female, high body mass index and hyperlipidemia. In the final model, the severity of stroke (with NIHSS 15-19 with hazard ratio (HR) 4.22 (95% confidence interval [CI] 2.36-7.56) and NIHSS ≥20 with HR 5.34 (95% CI: 2.81-10.12) and age above 65 with HR 1.61 (95% CI: 1.02-2.51) were the most important predictors of 6-month mortality.

CONCLUSION

Severity of stroke by NIHSS was the most prominent factor in stroke patients' mortality. By increasing the follow-up time, a better evaluation of the predictors of mortality after stroke can be achieved.

Low Body Mass Index is a Poor Prognosis Factor in Cardioembolic Stroke Patients with NonValvular Atrial Fibrillation

BACKGROUND

The relationship between body mass index (BMI) and the severity of cardioembolic stroke (CES) remains poorly understood.

METHOD

A total of 419 consecutive CES patients with nonvalvular atrial fibrillation (NVAF), and with a modified Rankin Scale (mRS) score of 0 or 1 before onset admitted within 48hours after onset to the Hirosaki Stroke and Rehabilitation Center were studied. The patients were divided into three groups, low BMI (L-BMI; n = 36, BMI < 18.5 kg/m²), normal BMI (N-BMI; n = 284, 18.5 ≤ BMI < 25.0), and high BMI (H-BMI; n = 99, BMI ≥ 25.0). We compared stroke severity and functional outcome among the three groups.

RESULTS

Stroke severity on admission, assessed by the National Institutes of Health Stroke Scale (NIHSS) showed that patients with L-BMI had the highest NIHSS score (median, 16 [11-25]), followed by N-BMI and H-BMI (11 [5-19] and 9 [3-19], P = .002). Functional outcome at discharge, assessed by mRS, was most severe in L-BMI patients (5 [3-5]), followed by N-BMI and H-BMI (3 [1-4] and 2 [1-4], P = .001). Multivariate analyses revealed that L-BMI was a significant determinant of severe stroke (NIHSS scores ≥8) at admission (odds ratio [OR] to N-BMI = 2.79, 95% confidence interval [CI], 1.17-7.78, P = .02) and poor functional outcome (mRS scores ≥3) at discharge (OR = 2.53, 95% CI, 1.12-6.31, P = .02). However, H-BMI did not affect stroke severity at admission or functional outcome at discharge.

CONCLUSION

Low BMI is a risk factor for severe stroke on admission and unfavorable functional outcome at discharge in Japanese CES patients with NVAF.