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

Physical Activity Habits and Incident First-Ever Stroke in Middle-Aged Adults-A Prospective Cohort Study

BACKGROUND

Lifestyle affects the risk of cardiovascular events such as myocardial infarction and stroke. Several lifestyle factors, such as physical activity (PA), are modifiable, and in this study, we examined the association between leisure-time PA habits and the risk of a first-ever stroke.

METHODS

This prospective study included residents in Västerbotten, Sweden, who participated in the Västerbotten Intervention Programme at 40, 50, and 60 years of age. Altogether, 31,855 individuals (50.5% women, mean age: 42.6 [6.9] y at baseline) participated between 1989 and 2016. Leisure-time PA was categorized as irregular (never/now and then) or regular (once a week/2 or 3 times a week/more than 3 times a week). Changes in PA were compared between examinations (10 y apart). Cases of stroke were validated according to World Health Organization MONICA (Monitoring Trends and Determinants of Cardiovascular Disease) criteria. The risk related to changes in leisure-time PA was estimated using a multivariable Cox regression model.

RESULTS

During an average follow-up of 9.8 years (4.4), 609 incident first-ever stroke cases occurred (1.9%). A multivariable model showed that, compared with individuals with irregular PA at both examinations, those reporting regular PA over time had a lower risk of stroke (hazard ratio: 0.78, 95% CI, 0.61-0.99).

CONCLUSION

Middle-aged adults who maintained regular PA during their leisure time over 10 years had a lower risk of a first-ever stroke. This association is probably partly mediated by lower body mass index and a reduced risk of hypertension and diabetes.

The effect of sarcopenia on prognosis in patients with mild acute ischemic stroke: a prospective cohort study

BACKGROUND

Ischemic stroke is a common chronic disease worldwide and is correlated with a high disability rate. Sarcopenia is considered a key factor in the disablement process. Limited evidence of sarcopenia in acute ischemic stroke is available. The aim of this study was to investigate the effect of sarcopenia on the prognosis of patients with acute ischemic stroke.

METHODS

A prospective cohort study was conducted and included patients who were diagnosed with acute ischemic stroke between August 2020 and May 2021. A modified Poisson regression was applied to determine the relative risk (RR) for the change in modified Rankin Scale (mRS) score and allow adjustment for confounders. The modified Poisson regression was used to identify associations between sarcopenia, and multiple linear regression analyses were used to assess the effect of sarcopenia on the Barthel Index (BI) and stroke-specific quality of life (SSQOL). The generalized linear mixed model was used to investigate the effect of sarcopenia on prognosis at 1, 3 and 6 months. Cox regression proportional risk model was used to analyze the effect of sarcopenia on readmission in patients with acute ischemic stroke.

RESULTS

The prevalence of sarcopenia was 39.83% among the 118 enrolled acute ischemic stroke patients (aged 64.98 ± 11.053 years; 72.88% males). Modified Poisson regression showed that a poor prognostic outcome occurred in sarcopenia patients (relative risk [RR] = 3.021, 95% CI: 1.621-5.633; P = 0.001). Even after adjusting for confounders, sarcopenia still was a risk predictor of the increase of mRS (RR = 2.149, 95% CI: 1.045-4.420; P = 0.038). And sarcopenia was positively correlated with BI and SSQOL with or without adjustment for confounding factors (P < 0.01). Patients with sarcopenia in mild acute ischemic stroke exhibit worse prognoses compared to those without sarcopenia. (t = 3.128, P = 0.002). Cox regression risk ratio model showed that sarcopenia was a predictor of readmission within 6 months after mild ischemic stroke (hazard ratio [HR] = 3.361, 95% CI: 1.277-8.848; P = 0.014). Sarcopenia remained an independent risk factor for mild acute ischemic stroke readmission after adjusting for confounders.

CONCLUSIONS

Sarcopenia has a high prevalence in mild acute ischemic stroke patients. Sarcopenia is an independent risk factor for poor outcomes following mild acute ischemic stroke and contributes to high rates of readmission. These findings may be useful for selecting therapeutic strategies for mild acute ischemic stroke patients with sarcopenia.

Impact of Body Mass Index on Stroke in Extracorporeal Cardiopulmonary Resuscitation: Data from the Extracorporeal Life Support Organization Registry

Objective: We aimed to characterize the impact of body mass index (BMI) on stroke in patients receiving extracorporeal cardiopulmonary resuscitation (ECPR). Methods: We queried the Extracorporeal Life Support Organization registry for patients receiving ECPR (2020-2024). Patients were categorized into five BMI groups: underweight (<18.5 kg/m2), normal weight (18.5-24.9 kg/m2), overweight (25-29.9 kg/m2), class 1 obesity (30-34.9 kg/m2), and class 2 obesity or above (≥35 kg/m2). A generalized additive model (GAM) analysis was used to identify the BMI range with the greatest stroke risk. Multivariable regression was used to compare odds of stroke between standard BMI groups and normal weight. Propensity score matching was used to compare stroke and mortality between normal weight and the BMI group with the highest predicted stroke risk. Results: Of 6390 patients (median age = 57.5, 68.6% male), 470 (7.4%) had a stroke during ECMO support (4.5% ischemic; 3.4% hemorrhagic). A total of 9.6% (n = 131) of class 1 obesity patients experienced stroke compared with 6.6% (n = 111) of normal weight, 6.9% (n = 79) of class 2 obesity or above, 6.9% (n = 143) of overweight, and 5.4% (n = 6) of underweight patients (p = 0.01). The GAM analysis showed a highest predicted stroke risk for class 1 obesity patients (n = 1366), which was confirmed by multivariable regression (adjusted odds ratio (aOR) = 1.63, 95%CI = 1.01-2.62, p = 0.045). After propensity matching (n = 357 each), class 1 obesity was associated with ischemic (aOR = 2.01, 95%CI = 1.02-4.08, p = 0.047) but not hemorrhagic stroke. Odds of hospital mortality were higher in both class 1 and 2 obesity patients compared with normal weight. Conclusions: Class 1 obesity was associated with increased odds of ischemic but not hemorrhagic stroke compared with normal weight patients.

Association of cardiometabolic index and new-onset stroke in middle-aged and elderly Chinese: a national prospective cohort study

BACKGROUND AND AIMS

The Cardiometabolic Index (CMI), a novel metabolic marker, has been associated with various metabolic diseases in previous studies. However, its relationship with stroke risk remains underexplored. This study investigates the potential correlation between CMI and stroke risk among Chinese adults aged 45 and older.

METHODS

In the China Health and Retirement Longitudinal Study (CHARLS), participants were categorized into four groups based on CMI quartiles. The primary outcome was the incidence of new strokes during the follow-up period. A Cox proportional hazards model was used to analyze the relationship between CMI and stroke risk among the elderly. Kaplan-Meier survival analysis compared incidence rates across CMI levels, and restricted cubic splines (RCS) assessed potential non-linear relationships between CMI and stroke. Subgroup analyses verified the robustness of these findings.

RESULTS

The study included 6620 patients (45% male), with 417 new stroke cases reported over an average follow-up of seven years. Multivariate analysis indicated a significant association between increased CMI and higher stroke risk [HR, 1.132 (1.021-1.273), P = 0.003]. The RCS model revealed a nonlinear increase in stroke risk with rising CMI levels (P for nonlinearity = 0.006). No significant interactions were detected between CMI and the selected subgroups (all P values for interaction > 0.05).

CONCLUSION

CMI significantly correlates with stroke risk in the elderly Chinese population, suggesting its potential utility in early risk stratification.

Impact of a dermatological rehabilitation program on cardiovascular risks of psoriasis patients

BACKGROUND AND OBJECTIVES

Psoriasis vulgaris is a common chronic inflammatory skin disease, associated with multiple cardiovascular comorbidities, which can ultimately lead to increased mortality. Dermatological rehabilitation programs represent an additional therapeutic option in patients with psoriasis besides the classical outpatient or inpatient management. This study aimed to investigate the impact of dermatological rehabilitation on cardiovascular risk factors, cardiorespiratory fitness and quality of life at the Clinic of Dermatology, Bad Bentheim, Germany.

PATIENTS AND METHODS

This prospective study included 105 patients (age > 18 years) with known psoriasis and/or psoriasis (pustulosa) palmoplantaris committing to a 3-week long rehabilitation program. Various patient reported outcomes including dermatological life and quality index, patient global assessment, physical activity, pruritus and smoking and alcohol consumption history were captured. Body mass index (BMI) and physical fitness were also assessed. Study parameters were collected by telephone at baseline, at discharge, and at 3 and 6 months.

RESULTS

Significant improvements in cardiorespiratory fitness (p < 0.001), BMI (p < 0.001), quality of life (p < 0.001), patients subjective estimation of disease severity (p < 0.001) and psoriasis area and severity index (p < 0.001) were shown.

CONCLUSIONS

The findings emphasize the importance of a rehabilitation program for patients with psoriasis due to its positive and sustained effects on cardiovascular risk factors.

The combined effects of cardiometabolic index and high-sensitivity C-reactive protein on the risk of new onset stroke in a Chinese national prospective longitudinal cohort study

BACKGROUND

The Cardiometabolic Index (CMI) represents a novel anthropometric measurement, which combines characteristics of adiposity and lipids. Since obesity, lipid metabolism, and inflammation may collectively facilitate the occurrence of stroke, we hypothesize that a combination of elevated levels of the CMI and high-sensitivity C-reactive protein (hs-CRP) increases the risk of future stroke among middle-aged and older Chinese adults.

METHODS

This study included 8,973 participants aged 45 years or older from the China Longitudinal Study on Health and Retirement (CHARLS), who were stroke-free and underwent baseline evaluations between 2011 and 2012, with followed-up at 2013, 2015 and 2018. The exposures were CMI and hs-CRP, with CMI calculated using the formula [waist circumference (cm)/height (cm)] × [triglycerides (mmol/L)/HDL-C (mmol/L)]. The primary outcome was the occurrence of new-onset stroke events. Cox proportional hazards models and restricted cubic spline (RCS) analyses were conducted to examine the associations between CMI, hs-CRP, and their combined effects on stroke risk. Sensitivity analysis was further implemented to verify the robustness of the results.

RESULTS

A total of 629 participants (7.01%) suffered new-onset stroke during follow-up. The risk for stroke increased with each elevating quartile of baseline CMI levels, with adjusted HRs and 95% CIs being 1.27 (0.98-1.66), 1.41 (1.08-1.83), and 1.46 (1.09-1.96) for Q2, Q3, and Q4, respectively. Moreover, participants with levels of hs-CRP ≥ 2 mg/L also had significantly higher stroke incidence compared to those with CRP levels < 2 mg/L (adjusted HR 1.24, 95% CI 1.05-1.47, p = 0.012). Specifically, those concurrently with the highest CMI quartile and levels of hs-CRP ≥ 2 mg/L had the highest risk of stroke (adjusted HR 1.90, 95% CI 1.32-2.74). The subsequent sensitivity analyses yielded consistent results, further corroborating the initial findings.

CONCLUSIONS

The combination of CMI and hs-CRP exhibited a significant association with stroke risk among middle-aged and older Chinese adults, highlighting the importance of joint assessments of these biomarkers for refining risk stratification and enhancing primary prevention strategies for stroke.

Joint association of triglyceride glucose index (TyG) and a body shape index (ABSI) with stroke incidence: a nationwide prospective cohort study

BACKGROUND

Triglyceride glucose index(TyG) and a body shape index(ABSI) are both independent predictor of stroke incidence or adverse prognosis but these two indicators seldom were combined to predict. The purpose of this study is to evaluate whether the combination of TyG and ABSI better predict the incidence of stroke.

METHODS

Based on the China Health and Retirement Longitudinal Study(CHARLS), 8,257 people aged 45 years and older without stroke were enrolled and followed up to 9 years. Sociodemographic information, health status, physical examination and blood data were collected retrospectively. Cox regressions were to determine the relationship between different groups and stroke incidence, using receiver operating characteristic curves to evaluate the diagnostic value. Meanwhile, subgroup analysis was performed to investigate the prediction performance among different population.

RESULTS

672(8.14%) of 8,257 participants had stroke incidence during 9 years. In the adjusted multivariate cox regression model, both TyG and ABSI were still predictors of stroke. The HR of TyG was 1.25(95%CI: 1.06-1.47) and the HR of ABSI was 1.33(95%CI: 1.06-1.68). Restricted cubic spline regression showed the associations between TyG or ABSI and stroke. The combination of TyG and ABSI had the highest diagnostic efficacy(AUC: 0.579, 95%CI: 0.553-0.597), compared to TyG(AUC:0.566, 95%CI: 0.544-0.587) and ABSI(AUC:0.533, 95%CI: 0.524-0.597). Kaplan-Meier curves showed that the highest cumulative stroke incidence was among people with high TyG and ABSI(TyG ≥ 8.5742, ABSI ≥ 0.0852; P < 0.0001), which had the highest HR of stroke incidence(HR:1.64, 95%CI:1.2-2.24).

CONCLUSION

The combined prediction of TyG and ABSI had higher clinical value and enabled earlier detection of the stroke in the general population, which could be monitored and intervened to reduce the overall burden of stroke.

Does Self-Reported BMI Modify the Association Between Stroke and Depressive Symptoms?

BACKGROUND

Depressive symptoms are common in stroke survivors. While obesity has been associated with stroke and depression, its influence on the association between stroke and depressive symptoms is unknown.

METHODS

Cross-sectional data from 2015 to 2016 Canadian Community Health Survey was used. History of stroke was self-reported and our outcome of interest was depressive symptoms in the prior 2 weeks, measured using the 9-item Patient Health Questionnaire. Self-reported body mass index (BMI) was modeled as cubic spline terms to allow for nonlinear associations. We used multivariable logistic regression to evaluate the association between stroke and depressive symptoms and added an interaction term to evaluate the modifying effect of BMI.

RESULTS

Of the 47,521 participants, 694 (1.0%) had a stroke and 3314 (6.5%) had depressive symptoms. Those with stroke had a higher odds of depressive symptoms than those without (aOR = 3.13, 95% CI 2.48, 3.93). BMI did not modify the stroke-depressive symptoms association (P interaction = 0.242) despite the observed variation in stroke-depressive symptoms association across BMI categories,: normal BMI [18.5-25 kg/m2] (aOR† = 3.91, 95% CI 2.45, 6.11), overweight [25-30 kg/m2] (aOR† = 2.63, 95% CI 1.58, 4.20), and obese [>30 kg/m2] (aOR† = 2.76, 95% CI 1.92, 3.94). Similar results were found when depressive symptoms were modeled as a continuous measure.

CONCLUSION

The association between stroke and depressive symptoms is not modified by BMI, needing additional work to understand the role of obesity on depression after stroke.

The effect of body mass index on stroke prognosis: A systematic review and meta-analysis of 32 cohort studies with 330,353 patients

BACKGROUND

Many studies have explored the impact of body mass index (BMI) on stroke prognosis, yet findings remain inconsistent.

AIMS

The aims of this study were to conduct a systematic review and meta-analyses to summarize the existing evidence on BMI and stroke outcomes.

METHODS

PubMed, Web of Science, Embase, The Cochrane Library, CNKI, CBM, Wanfang Database, and VIP Database were systematically searched from inception to 1 January 2023. Cohort studies were included if they reported on a population of patients with stroke, evaluated BMI on stroke outcomes (mortality/recurrence/score of modified Rankin scale (mRs)), and reported original data. Data extraction and quality assessment were independently undertaken by two reviewers. Stata 16.0 software was used for meta-analysis.

RESULTS

Thirty-two studies involving 330,353 patients (5 Chinese language articles) were included in the analysis. The proportion of underweight, overweight, and obese patients was 1.85%, 18.2%, and 15.6%, respectively. Compared with normal weight, being underweight was associated with an increased risk of mortality (relative risk (RR) = 1.78, 95% confidence interval (CI) = 1.60-1.96), poor functional outcomes defined as modified Rankin scale ⩾ 3 (RR = 1.33, 95% CI = 1.22-1.45), and stroke recurrence (RR = 1.19, 95% CI = 1.04-1.37). Being overweight but not obese was associated with reduced mortality (RR = 0.81, 95% CI = 0.74-0.89) and better functional outcomes (RR = 0.92, 95% CI = 0.89-0.96), but did not alter the risk of stroke recurrence (RR = 1.03, 95% CI = 0.90-1.17). Obesity was associated with lower risk of mortality (RR = 0.76, 95% CI = 0.72-0.81) and better functional outcomes (RR = 0.89, 95% CI = 0.84-0.94).

CONCLUSIONS

Our findings indicate that in patients with stroke, being underweight is associated with an increased risk of mortality, poor functional outcomes, and stroke recurrence. In contrast, being overweight but not obese, or being obese, was associated with a decreased risk of mortality and better functional outcomes. This is consistent with the obesity paradox in stroke, whereby obesity increases stroke risk in the general population but is associated with improved outcome in patients suffering stroke.

Cardiorespiratory fitness, physical activity, and fatigue three months after first-ever ischemic stroke

BACKGROUND

Research on cardiorespiratory fitness (CRF) in relation to physical activity (PA) and fatigue after stroke is limited. Increased knowledge of interrelationships between these factors can help optimize rehabilitation strategies and improve health-outcomes.

OBJECTIVES

We aimed to: 1) evaluate CRF, PA, and fatigue, 2) characterize patients with impaired versus non-impaired CRF, and 3) examine associations of CRF with PA and fatigue, three months after first-ever ischemic stroke.

METHODS

In this cross-sectional study CRF was measured as peak oxygen uptake (VO2peak) by cardiopulmonary exercise testing. PA was measured using accelerometers. Fatigue was assessed with the 7-item Fatigue Severity Scale (FSS).

RESULTS

The sample (n=74, mean age 64±13 years, 36% women) had a mean VO2peak of 27.0±8.7 (86% of predicted). Fifty-one percent met the World Health Organization's recommendation of ≥150 min of moderate PA/week. Mean steps-per-day was 9316±4424 (113% of predicted). Thirty-five percent of the sample had moderate-to-high fatigue (FSS≥4), mean FSS score was 3.2±1.8.  Patients with impaired CRF (VO2peak<80% of predicted) had higher body-fat-percent (p<0.01), less moderate-to-vigorous PA (MVPA) (p<0.01) and a trend toward higher fatigue (p=0.053) compared to the non-impaired. Backward regression analysis showed that higher CRF was associated with more MVPA (unstandardized beta [95% CI]: 0.38 [0.15, 0.63], p=0.002) and less fatigue (unstandardized beta [95% CI]: -3.9 [-6.4, -1.6], p=0.004).

CONCLUSIONS

Stroke patients had lower CRF compared to reference values. Impaired CRF was mainly related to overweight. Higher CRF was associated with more MVPA and less fatigue. Exercise after stroke may be especially beneficial for patients with impaired CRF.

Mendelian randomization studies of lifestyle-related risk factors for stroke: a systematic review and meta-analysis

Objective

Stroke risk factors often exert long-term effects, and Mendelian randomization (MR) offers significant advantages over traditional observational studies in evaluating the causal impact of these factors on stroke. This study aims to consolidate and evaluate the relationships between potential causal factors and stroke risk, drawing upon existing MR research.

Methods

A comprehensive search for MR studies related to stroke was conducted up to August 2023 using databases such as PubMed, Web of Science, Embase, and Scopus. This meta-analysis examines the relationships between potential causative factors and stroke risk. Both random-effects and fixed-effects models were utilized to compile the dominance ratios of various causative elements linked to stroke. The reliability of the included studies was assessed according to the Strengthening the Reporting of Observational Studies in Epidemiology incorporating Mendelian Randomization (STROBE-MR) guidelines.

Results

The analysis identified several risk factors for stroke, including obesity, hypertension, low-density lipoprotein cholesterol (LDL-C), chronic kidney disease (CKD), and smoking. Protective factors included high-density lipoprotein cholesterol (HDL-C), estimated glomerular filtration rate (eGFR), and educational attainment. Subgroup analysis revealed that type 2 diabetes mellitus (T2DM), diastolic blood pressure (DBP) are risk factors for ischemic stroke (IS).

Conclusion

This study confirms that variables such as obesity, hypertension, elevated LDL-C levels, CKD, and smoking are significantly linked to the development of stroke. Our findings provide new insights into genetic susceptibility and potential biological pathways involved in stroke development.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO, identifier CRD42024503049.

Linear positive association of metabolic score for insulin resistance with stroke risk among American adults: a cross-sectional analysis of National Health and Nutrition Examination Survey datasets

BACKGROUND

Insulin Resistance (IR) is associated with stroke. This study aimed to investigate the correlation between metabolic score for insulin resistance (METS-IR) level, a new biomarker for assessing IR, and stroke.

METHODS

This is a cross-sectional study based on data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2020 and included participants aged ≥ 20 years. All participants provided complete stroke and METS-IR related data. The study employed statistical techniques, including multivariate logistic regression analysis, restricted cubic splines (RCS), and stratified analyses to evaluate the relationship between the amounts of METS-IR and the risk of stroke.

RESULTS

The study included 14,029 participants aged 20 years or older. The fully adjusted model revealed a statistically significant correlation between METS-IR and stroke (OR=1.21, 95% CI: 1.00, 1.46; P<0.05). Specifically, for every 10-unit increase in METS-IR, there was a 21% increase in the prevalence of stroke. The prevalence of stroke was 60% higher in the Q4 group compared to the Q1 group, as indicated by a significant association with METS-IR (OR=1.60, 95% CI: 1.01, 2.54; P<0.05). The RCS analysis revealed a strong linear correlation between METS-IR and the incidence of stroke (P<0.05). Subgroup analyses showed that gender, age, race, alcohol consumption, smoking, diabetes, and hypertension exhibited correlation with this positive association, and a significant interaction was observed in age (P for interaction < 0.05).

CONCLUSIONS

The findings of this study indicate that elevated METS-IR levels are strongly linked to a greater risk of stroke in adults.

Atherogenic index of plasma and obesity-related risk of stroke in middle-aged and older Chinese adults: a national prospective cohort study

BACKGROUD

The association between the atherogenic index of plasma (AIP) and stroke risk is uncertain. Overweight and obese individuals frequently develop atherosclerosis, suggesting AIP may mediate the relationship between body mass index (BMI) and stroke risk. This study investigates whether AIP mediates the BMI-stroke association and evaluates the interaction effects of AIP and BMI on stroke risk in middle-aged and older Chinese adults.

METHOD

This study analyzes data from the China Health and Retirement Longitudinal Study (CHARLS), an ongoing nationally representative prospective cohort study that began in 2011. It includes 8 598 middle-aged and older Chinese adults without stroke at baseline. A mediation analysis, employing a novel two-stage regression method, was conducted to evaluate the indirect effect of BMI on stroke through AIP.

RESULTS

During a median follow-up of 7.1 years, 615 (7.2%) participants developed a stroke. After adjusting for confounders, AIP was significantly associated with stroke risk (hazard ratio [HR] per 1-SD increase, 1.24; 95% CI 1.14-1.35). Mediation analysis indicated that compared to normal weight, obesity similarly raised stroke risk by 78.0% (HR 1.78, 95% CI 1.40-2.27), with 29.67% (95% CI 14.27-45.08%) of the association mediated through AIP (HR 1.15, 95% CI 1.08-1.23). No significant multiplicative or additive interactions were observed between BMI and AIP on stroke.

CONCLUSIONS

This study found that the AIP appeared to be associated with stroke risk and mediates the association between obesity and stroke among middle-aged and older Chinese adults.

Treating ischemic stroke by improving vascular structure and promoting angiogenesis using Taohong Siwu Decoction: An integrative pharmacology strategy

ETHNOPHARMACOLOGICAL RELEVANCE

Neovessels represent a crucial therapeutic target and strategy for repairing ischemic tissue. Taohong Siwu Decoction (THSWD) exhibits potential in promoting angiogenesis to address ischemic stroke (IS). However, its impact on neovessel structure and function, alongside the underlying molecular mechanisms, remains elusive.

AIM OF THE STUDY

Our aim is to investigate the protective effects of THSWD on neovessel structure and function, as well as the associated molecular mechanisms, utilizing an integrative pharmacological approach.

MATERIALS AND METHODS

We initially employed behavioral tests, 2,3,5-triphenyltetrazolium chloride (TTC) staining, Haematoxylin-eosin (HE) staining, enzyme-linked immunosorbent assay (ELISA), Laser Doppler flowmetry (LDF), Evans blue staining, and immunofluorescence to evaluate the protective effects of THSWD on neovascular structure and function in middle cerebral artery occlusion/reperfusion (MCAO/R) rats. Subsequently, we utilized network pharmacology, metabolomics, and experimental validation to elucidate the underlying molecular mechanisms of THSWD in enhancing neovascular structure and function.

RESULT

In addition to significantly reducing neurological deficits and cerebral infarct volume, THSWD mitigated pathological damage, blood-brain barrier (BBB) leakage, and cerebral blood flow disruption. Moreover, it preserved neovascular structure and stimulated angiogenesis. THSWD demonstrated potential in ameliorating cerebral microvascular metabolic disturbances including lipoic acid metabolism, fructose and mannose metabolism, purine metabolism, and ether lipid metabolism. Consequently, it exhibited multifaceted therapeutic effects, encompassing anti-inflammatory, antioxidant, energy metabolism modulation, and antiplatelet aggregation properties.

CONCLUSION

THSWD exhibited protective effects on cerebral vascular structure and function and facilitated angiogenesis by rectifying cerebral microvascular metabolic disturbances in MCAO/R rats. Furthermore, integrated pharmacology offers a promising approach for studying the intricate traditional Chinese medicine (TCM) system in IS treatment.

The Body Mass Index as a Determinant of Acute Ischemic Location in Mild Non-cardioembolic Stroke Patients

Objective Although the body mass index (BMI) is considered a meaningful parameter for evaluating obesity, the association between the BMI and acute non-cardioembolic stroke remains unclear. We investigated how the BMI was related to patients' background, type of infarction, and infarction location in patients with non-cardioembolic stroke using an acute dual study (ADS) cohort. Methods The ADS trial was conducted between May 2011 and June 2017 in Japan. The BMI classifications were those proposed by the World Health Organization classification: underweight, <18.5 kg/m2; normal weight, 18.5-24.9 kg/m2; overweight, 25-29.9 kg/m2; and obese, ≥30 kg/m2. Results Data from 1,136 patients were analyzed. The median BMI was 23.6 kg/m2 (interquartile range: 21.6-25.8 kg/m2), with a BMI ≥30 kg/m2 in 63 patients (6%), 25-29.9 kg/m2 in 321 (28%), 18.5-24.9 kg/m2 in 692 (61%), and <18.5 kg/m2 in 60 (5%). The group with a BMI ≥30 kg/m2 was the youngest, and the group with a BMI <18.5 kg/m2 was the oldest (p<0.001). The proportion of patients with a history of hypertension (p<0.001), diabetes (p<0.001), dyslipidemia (p<0.001), and statin therapy (p=0.005) increased with increasing BMI. Pontine infarcts were frequent in the following order: obese, overweight, normal weight, and underweight (24%, 18%, 14%, and 13%, respectively; p=0.034). In contrast, cortical infarct were frequent in the order of underweight, normal weight, overweight, and obese at 20%, 19%, 14%, and 3%, respectively (p=0.007). Conclusion Acute stroke patients with a high BMI have more atherosclerosis-related factors in their backgrounds than those with lower BMIs. In addition, the BMI may be a determinant of infarct location in patients with acute stroke.

Obesity and Environmental Risk Factors Significantly Modify the Association between Ischemic Stroke and the Hero Chaperone C19orf53

The unique chaperone-like properties of C19orf53, discovered in 2020 as a "hero" protein, make it an intriguing subject for research in relation to ischemic stroke (IS). Our pilot study aimed to investigate whether C19orf53 SNPs are associated with IS. DNA samples from 2138 Russian subjects (947 IS and 1308 controls) were genotyped for 7 C19orf53 SNPs using probe-based PCR. Dominant (D), recessive (R), and log-additive (A) regression models in relation to the effect alleles (EA) were used to interpret associations. An increased risk of IS was associated with rs10104 (EA G; Pbonf(R) = 0.0009; Pbonf(A) = 0.0004), rs11666524 (EA A; Pbonf(R) = 0.003; Pbonf(A) = 0.02), rs346158 (EA C; Pbonf(R) = 0.006; Pbonf(A) = 0.045), and rs2277947 (EA A; Pbonf(R) = 0.002; Pbonf(A) = 0.01) in patients with obesity; with rs11666524 (EA A; Pbonf(R) = 0.02), rs346157 (EA G; Pbonf(R) = 0.036), rs346158 (EA C; Pbonf(R) = 0.005), and rs2277947 (EA A; Pbonf(R) = 0.02) in patients with low fruit and vegetable intake; and with rs10104 (EA G; Pbonf(R) = 0.03) and rs11666524 (EA A; Pbonf(R) = 0.048) in patients with low physical activity. In conclusion, our pilot study provides comprehensive genetic and bioinformatic evidence of the involvement of C19orf53 in IS risk.

Complete genome sequence and anti-obesity potential of Lactiplantibacillus plantarum HOM2217 in 3T3-L1 cells and high-fat diet-fed rats

The global prevalence of obesity is rising year by year, which has become a public health problem worldwide. Many animal and clinical studies have shown that Lactiplantibacillus plantarum is considered an ideal probiotic and potential supplement for the treatment of obesity. In this study, we aimed to complete the genome sequence of L. plantarum HOM2217, which was isolated from human milk, and study its physiological characteristics and anti-obesity effects in 3T3-L1 cells and rats fed a high-fat diet (HFD) to determine its potential as a starter for functional food products. Whole-genome analysis demonstrated that HOM2217 contained a single circular chromosome of 3,267,529 bp with a GC content of 44.5% and one plasmid (62,350 bp) with a GC content of 38.5%. Compared to the reference strains, HOM2217 demonstrated superior tolerance to gastrointestinal conditions, higher adhesion to intestinal epithelial cell lines, potent antimicrobial activity against Enterobacter cloacae ATCC 13047, and effective cholesterol removal ability in vitro. Treatment with heat-killed HOM2217 significantly reduced lipid accumulation and intracellular triglyceride production in 3T3-L1 adipocytes. Daily treatment of HFD-fed rats with HOM2217 for 7 weeks decreased body weight, body weight gain, and body fat without changes in food intake. HOM2217 also significantly increased the serum high-density lipoprotein cholesterol (HDL-C) level, decreased the serum tumor necrosis factor (TNF-α) and increased short-chain fatty acid (SCFA) (formic acid, acetic acid, and butyric acid) levels in the cecum. Thus, HOM2217 could potentially prevent obesity in rats by inhibiting inflammatory responses and regulating lipid metabolism and SCFAs expression. Therefore, HOM2217 has potential as an alternative treatment for obesity.

Associations between Cognitive Impairment, Weight Status and Comorbid Conditions in Hospitalized Adults of 55 Years and Older in Guadeloupe

Cognitive decline and comorbid conditions commonly co-occur, and these conditions can affect cognitive health. We aimed to estimate the prevalence of cognitive impairment (CI) according to weight status and to evaluate the associations between CI, weight status and comorbid conditions in adults of 55 years and older. The Abbreviated Mental Test Score (AMTS) was used. Logistic regressions were performed. Overall, 415 individuals were included. The mean age was 75.7 ± 10.1 years, and the mean BMI was 26.2 ± 6.9 kg/m2. The prevalence of CI was 20.7% in the whole study group and 31%, 24.8%, 17.7% and 10.2% in underweight, normal weight, overweight and obese individuals, respectively; p < 0.004. The low folate, vitamin D and prealbumin levels were more frequently found in individuals with CI compared with those without CI. Compared with the obese individuals, a higher odds ratio of prevalent CI was noted for underweight individuals OR 3.89 (95% CI 1.54-9.80); p = 0.004. Additionally, male gender, older age, stroke, having three or more comorbid conditions and findings of undernutrition were significantly associated with CI. Being underweight was associated with an increased risk of CI. Prevention strategies including the monitoring of nutritional status may help to prevent cognitive decline and promote healthy aging.

Trend analysis of stroke subtypes mortality attributable to high body-mass index in China from 1990 to 2019

BACKGROUND

The prevalence of stroke disability associated with high BMI has significantly increased over the past three decades. However, it remains uncertain whether high body-mass index (BMI) exerts a similar impact on the disease burden of different stroke subtypes. The aim of this study is to assess the long-term trends of stroke and subtypes mortality attributable to high BMI in China between 1990 and 2019.

METHODS

Data on stroke and subtypes mortality attributable to high BMI in China was extracted in the Global Burden of Disease (GBD) 2019. The trends of age-standardized mortality rate (ASMR) were calculated using the linear regression and age-period-cohort framework.

RESULTS

The changing trend of ASMR on stroke attributable to high BMI in China differed among subtypes, with an estimated annual percentage change (EAPC) and 95%CI of 2.04 (1.86 to 2.21) for ischemic stroke (IS), 0.36 (-0.03 to 0.75) for intracerebral hemorrhage (ICH), and - 4.62 (-5.44 to -3.78) for subarachnoid hemorrhage (SAH). Net and local drift analyses revealed a gradual increase in the proportion of older people with IS and a gradual increase in the proportion of younger people with hemorrhagic strokes. The cohort and period rate ratios varied by subtype, showing an increasing trend for IS and ICH but a decreasing trend for SAH. The stroke mortality attributable to high BMI increased significantly with age for IS and ICH, peaking between ages 50-70 for SAH. Notably, males had higher ASMR related to stroke but exhibited slighter declines or higher growth compared to females in China. Moreover, the population affected by fatal strokes tended to be older among females but more evenly distributed across a wider age range encompassing both younger and older individuals.

CONCLUSION

The research findings indicate a rising trend in the ASMR of stroke and subtypes attributable to high BMI in China from 1990 to 2019, with different patterns of change for different subtypes, genders and ages. Consequently, it is imperative for public health authorities in China to formulate guidelines for specific stroke subtypes, genders and ages to prevent the burden of stroke attributable to high BMI.

Association of lifestyle with reduced stroke risk in 41 314 individuals with diabetes: Two prospective cohort studies in China

AIM

To investigate the associations of individual and combined healthy lifestyle factors (HLS) with the risk of stroke in individuals with diabetes in China.

METHODS

This prospective analysis included 41 314 individuals with diabetes [15 191 from the Comprehensive Research on the Prevention and Control of the Diabetes (CRPCD) project and 26 123 from the China Kadoorie Biobank (CKB) study]. Associations of lifestyle factors, including cigarette smoking, alcohol consumption, physical activity, diet, body shape and sleep duration, with the risk of stroke, intracerebral haemorrhage (ICH) and ischaemic stroke (IS) were assessed using Cox proportional hazard models.

RESULTS

During median follow-up periods of 8.02 and 9.05 years, 2499 and 4578 cases of stroke, 2147 and 4024 of IS, and 160 and 728 of ICH were documented in individuals with diabetes in the CRPCD and CKB cohorts, respectively. In the CRPCD cohort, patients with ≥5 HLS had a 14% lower risk of stroke (hazard ratio (HR): 0.86, 95% confidence interval (CI): 0.75-0.98) than those with ≤2 HLS. In the CKB cohort, the adjusted HR (95% CI) for patients with ≥5 HLS were 0.74 (0.66-0.83) for stroke, 0.74 (0.66-0.83) for IS, and 0.57 (0.42-0.78) for ICH compared with those with ≤2 HLS. The pooled adjusted HR (95% CI) comparing patients with ≥5 HLS versus ≤2 HLS was 0.79 (0.69-0.92) for stroke, 0.80 (0.68-0.93) for IS, and 0.60 (0.46-0.78) for ICH.

CONCLUSIONS

Maintaining a healthy lifestyle was associated with a lower risk of stroke, IS and ICH among individuals with diabetes.

Interactive effects of Composite Dietary Antioxidant Index with Body Mass Index for the risk of stroke among U.S. adults: insight from NHANES 2001-2018

Background

This cross-sectional study aims to explore the interactive effects of the Composite Dietary Antioxidant Index (CDAI) and Body Mass Index (BMI) on stroke risk among U.S. adults, utilizing data from the National Health and Nutrition Examination Survey (NHANES) conducted between 2001 and 2018.

Methods

The analysis involved 42,042 participants from a representative sample of non-institutionalized U.S. civilians, selected through a stratified, multistage probability sampling method. Dietary intake data were collected over two 24-h periods using the Automated Multiple-Pass Method. The study calculated a modified CDAI to assess dietary antioxidant intake, excluding supplements and water sources. Statistical methods included multivariable logistic regression and Generalized Additive Models (GAM) to evaluate the interaction between CDAI scores and BMI in relation to stroke risk, adjusting for a wide range of demographic, lifestyle, and health covariates.

Results

The research identified a significant interaction between CDAI scores and BMI categories in stroke risk assessment. While a negative correlation was observed between CDAI scores and stroke risk across the total population (OR 0.97, 95% CI 0.96-0.99), this relationship varied notably across different BMI groups. In participants with a BMI ≥25, a statistically significant negative association persisted, displaying a non-linear pattern. The study also revealed an inflection point in the CDAI score, indicating a shift in the relationship between dietary antioxidants and stroke risk.

Conclusion

This study underscores the complex interaction between dietary antioxidant intake and BMI in determining stroke risk among U.S. adults. The findings suggest that individuals with higher BMI may experience more pronounced benefits from dietary antioxidants in stroke prevention. These insights could inform targeted dietary recommendations and public health strategies aimed at reducing stroke risk, particularly in populations with higher BMI. Further research is needed to fully understand these interactions and their implications for stroke prevention guidelines.

Long-term survival in stroke patients: insights into triglyceride-glucose body mass index from ICU data

BACKGROUND

The Triglyceride Glucose-Body Mass Index (TyG-BMI) has been established as a robust indicator of insulin resistance (IR), reflecting metabolic health across various populations. In general, lower TyG-BMI values are often associated with better metabolic health outcomes and a reduced risk of adverse health events in non-critically ill populations. Previous studies have highlighted a significant negative association between TyG-BMI and all-cause mortality (ACM) among critically ill atrial fibrillation patients. Given the high prevalence and severe outcomes associated with stroke, understanding how TyG-BMI at the time of ICU admission correlates with ACM in critically ill stroke patients becomes imperative. This study aims to assess the correlation between TyG-BMI and ACM in this specific patient cohort, exploring how traditional associations between TyG-BMI and metabolic health may differ in the context of acute, life-threatening illness.

METHODS

Patient data were retrieved by accessing the Medical Information Mart for Intensive Care IV (MIMIC-IV 2.2) database, categorizing patients into three groups on the basis of TyG-BMI tertiles. The study evaluated both primary and secondary outcomes: the primary outcomes included the 90-day, 180-day, and 1-year ACM, while secondary outcomes encompassed ICU, in-hospital, and 30-day ACM. Our study employed the Kaplan-Meier (K-M) curve method for outcome comparison across the groups while utilizing multivariate Cox proportional-hazards regression models and restricted cubic splines (RCS) to explore TyG-BMI association with these outcomes. Additionally, interaction and subgroup analyses were performed, focusing on different mortality time points.

RESULTS

Among a cohort of 1707 individuals diagnosed with stroke, the average age was 68 years (interquartile range [IQR]: 58-78 years), with 946 (55.42%) of the participants being male. The analysis of K-M curves suggested that patients having a lower TyG-BMI level faced a heightened risk of long-term ACM, whereas the short-term ACM exhibited no statistically significant differences across the three TyG-BMI groups. Furthermore, Cox proportional-hazards regression analysis validated a statistically significant increased risk of long-term ACM among patients belonging to the lowest TyG-BMI tertile. Additionally, RCS analysis results demonstrated L-shaped correlations between the TyG-BMI index and both short- and long-term ACM. These findings underscore the TyG-BMI predictive value for long-term mortality in stroke patients, highlighting a nuanced relationship that varies over different time frames. The results revealed no interactions between TyG-BMI and the stratified variables, with the exception of age.

CONCLUSION

In our study, lower TyG-BMI levels in critically ill stroke patients are significantly related to a higher risk of long-term ACM within the context of the United States. This finding suggests the potential of TyG-BMI as a marker for stratifying long-term risk in this patient population. However, it's crucial to note that this association was not observed for short-term ACM, indicating that the utility of TyG-BMI may be more pronounced in long-term outcome prediction. Additionally, our conclusion that TyG-BMI could serve as a reliable indicator for managing and stratifying stroke patients over the long term is preliminary. To confirm our findings and assess the universal applicability of TyG-BMI as a prognostic tool, it is crucial to conduct rigorously designed research across various populations.

Association between advanced lung cancer inflammation index and all-cause and cardiovascular mortality among stroke patients: NHANES, 1999-2018

Background

Stroke was a major global public health challenge, and its prognosis was remarkably associated with inflammation levels and nutritional status. The advanced lung cancer inflammation index (ALI) was a comprehensive indicator that combined inflammation and nutritional status. Currently, the relationship between ALI and the prognosis of stroke patients was not yet known. The purpose of the current study was to estimate their relationship.

Methods

Cohort data from the National Health and Nutrition Examination Survey (NHANES) 1999-2018 were collected. The association between ALI and all-cause and cardiovascular disease (CVD) mortality in stroke patients was estimated using a multivariable adjusted Cox model. Their non-linear relationship was analyzed by restricted cubic spline analysis. Sensitivity analysis was constructed through stratified analysis and interaction analysis.

Results

1,440 stroke patients were included in this study. An elevated ALI was significantly related to a reduced risk of all-cause mortality in stroke patients but not related to CVD mortality. A reverse J-shaped non-linear association between ALI and all-cause mortality in stroke patients, with an inflection point at 83.76 (the lowest of the mortality risk). On the left side of the inflection point, for each 10 U increase in ALI, there was a 16% reduction in the risk of all-cause mortality. However, on the right side, the risk increased by 6%. There was no remarkable interaction between stratified variables and ALI.

Conclusion

This was the first study on the relationship between ALI and all-cause and CVD mortality in stroke patients. Elevated ALI was closely associated with a reduced risk of all-cause mortality. A reverse J-shaped non-linear relationship existed between the two, with an inflection point at 83.76. These findings implied that controlling the ALI of stroke patients within an appropriate range was crucial for their prognosis (such as weight management, albumin supplementation, anti-inflammatory treatment). The dynamic variation in ALI was also advantageous for clinicians in establishing personalized ALI criteria to maximize the long-term survival of stroke patients.

Adherence to oxidative balance score is inversely associated with the prevalence of stroke: results from National Health and Nutrition Examination Survey 1999-2018

Introduction

The relationship between oxidative balance score (OBS), an emerging integrative metric for assessing individual redox homeostasis, and the prevalence of stroke in the general population remains unknown. We aimed to explore these relationships in the National Health and Nutrition Examination Survey (NHANES). We investigated the relationship between the oxidative balance score (OBS) and stroke prevalence using NHANES data from 1999-2018.

Methods

We included eligible individuals from NHANES 1999-2018. OBS calculations were based on previously validated methods, and stroke diagnoses were based on self-reports in questionnaires. Multivariable logistic regression analyses were used to examine the independent associations of overall, dietary, and lifestyle OBS with stroke prevalence. In addition, restricted cubic spline (RCS), stratified analysis, and sensitivity analysis were used.

Results

We included 25,258 participants aged 20-85 years, in which the prevalence of stroke was 2.66%. After adjusting for all confounders, overall and dietary OBS, but not lifestyle OBS, were inversely associated with the prevalence of stroke [odds ratios and 95% confidence intervals of 0.97 (0.96, 0.99) and 0.98 (0.96, 0.99) for overall and dietary OBS, respectively, both p < 0.05]. In addition, there was a dose-response relationship between overall and dietary OBS and stroke prevalence. The RCS showed that these relationships were linear. Stratified analyses indicated that socioeconomic status (SES) significantly influenced the relationship between all OBS and stroke prevalence.

Conclusion

Dietary OBS, but not lifestyle OBS, had an inverse relationship with the prevalence of stroke in the general population. SES significantly influenced the protective effect of OBS against stroke. These findings emphasize the importance of integrated antioxidant properties from diet for stroke prevention.

The effect of cumulative lipid accumulation product and related long-term change on incident stroke: The Kailuan Study

BACKGROUND AND AIMS

A single measurement lipid accumulation product (LAP) level has been shown to increase cardiovascular disease, but cumulative LAP on stroke effects is uncertain.

METHODS AND RESULTS

This study included 43,089 participants, free of any cardiovascular diseases at baseline, from the Kailuan Study. The cumulative LAP was determined by multiplying the average LAP index and the time interval between two consecutive examinations, resulting in their categorization into four quartile groups. The higher LAP exposure was defined as participants with LAP values exceeding 90% of this population during each health survey. The association between cumulative LAP and stroke was assessed using multivariable Cox proportional hazard models. During a median follow-up period of 11.0 (10.6-11.3) years, 2461 participants developed stroke (of which 2220 were ischemic stroke, 320 were hemorrhagic stroke, and 79 were concurrent). After adjusting for potential confounders, the risk of stroke gradually increased in Groups Q2 to Q4 compared to Q1, with hazard ratios (HRs) ranging from 1.19 (95% CI: 1.05-1.36) to 1.50 (95% CI: 1.30-1.70). Specifically, the risk of ischemic stroke showed an increase from 1.21 (1.06-1.39) to 1.56 (1.36-1.79), while no statistically significant effect was observed for hemorrhagic stroke. The longer duration of higher LAP index exposure was also associated with increased stroke risk. Similar results were obtained in the stratification and sensitivity analyses.

CONCLUSION

Cumulative LAP was positively and significantly associated with incident stroke, especially ischemic stroke, and a longer duration of exposure to higher LAP may increase the risk of stroke.

Associations of overweight and obesity with the risk of cardiovascular disease according to metabolic risk factors among middle-aged Japanese workers: The Aichi Workers' cohort study

BACKGROUND

The association between obesity and cardiovascular disease (CVD) remains unclear, particularly for those with established CVD risk factors. We analyzed follow-up data from the Aichi Workers' Cohort Study. We studied the association between the degree of obesity and risk of CVD and its subtypes specifically among individuals with hypertension, hyper-low-density lipoprotein (LDL)-cholesterolemia, or diabetes.

METHODS

Pooled data of 8972 adults (7076 men and 1896 women) who were recruited between 2002 and 2008 were used in the current analysis. We used multivariable Cox proportional hazard model to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the associations between the degree of obesity assessed with body mass index (BMI) and the risk of CVD and its subtypes, i.e., coronary heart disease (CHD) and stroke.

RESULTS

During a median of 12 years, there were 197 CVDs (80 CHDs and 117 strokes). BMI ≥ 27.5 compared to 21.0-22.9 kg/m2 was positively and significantly associated with the risks of CVD, CHD, and total stroke. Hypertension, hyper-LDL-cholesterolemia, and diabetes mediated 15.9%, 5.8%, and 8.7% of obesity-CVD associations, respectively, and 28.3% by their combination. In the stratified analyses by the presence of risk factors, BMI ≥ 25.0 (overweight/obesity) compared to BMI < 25 kg/m2 was associated with a higher risk of CVD in those with and without hypertension, but only with hyper-LDL-cholesterolemia, and without diabetes.

CONCLUSIONS

Overweight/obesity was associated with the risk of CVD and its subtypes. About 30% of the risk was explained by hypertension, hyper-LDL-cholesterolemia, and diabetes, of which hypertension accounted for approximately the half of the explained risk. However, overweight/obesity increased the risk of CVD even in those without hypertension. These findings highlight the importance of controlling and preventing overweight/obesity regardless of chronic disease status.

Link between triglyceride-glucose-body mass index and future stroke risk in middle-aged and elderly chinese: a nationwide prospective cohort study

OBJECTIVE

Current literature is deficient in robust evidence delineating the correlation between the triglyceride glucose-body mass index (TyG-BMI) and the incidence of stroke. Consequently, this investigation seeks to elucidate the potential link between TyG-BMI and stroke risk in a cohort of middle-aged and senior Chinese individuals.

METHODS

This study employs longitudinal data from four waves of the China Health and Retirement Longitudinal Study (CHARLS) conducted in 2011, 2013, 2015, and 2018, encompassing 8,698 participants. The CHARLS cohort was assembled using a multistage probability sampling technique. Participants underwent comprehensive evaluations through standardized questionnaires administered via face-to-face interviews. Our analytic strategy involved the application of Cox proportional hazards regression models to investigate the association between TyG-BMI and the risk of stroke. To discern potential non-linear relationships, we incorporated Cox proportional hazards regression with smooth curve fitting. Additionally, we executed a battery of sensitivity and subgroup analyses to validate the robustness of our findings.

RESULTS

Our study utilized a multivariate Cox proportional hazards regression model and found a significant correlation between the TyG-BMI and the risk of stroke. Specifically, a 10-unit increase in TyG-BMI corresponded to a 4.9% heightened risk of stroke (HR = 1.049, 95% CI 1.029-1.069). The analysis also uncovered a non-linear pattern in this relationship, pinpointed by an inflection point at a TyG-BMI value of 174.63. To the left of this inflection point-meaning at lower TyG-BMI values-a 10-unit hike in TyG-BMI was linked to a more substantial 14.4% rise in stroke risk (HR 1.144; 95% CI 1.044-1.253). Conversely, to the right of the inflection point-at higher TyG-BMI values-each 10-unit increment was associated with a smaller, 3.8% increase in the risk of stroke (HR 1.038; 95% CI 1.016-1.061).

CONCLUSIONS

In the middle-aged and elderly Chinese population, elevated TyG-BMI was significantly and positively associated with stroke risk. In addition, there was also a specific non-linear association between TyG-BMI and stroke (inflection point 174.63). Further reduction of TyG-BMI below 174.63 through lifestyle changes and dietary control can significantly reduce the risk of stroke.

Causal associations of COVID-19 on neurosurgical diseases risk: a Mendelian randomization study

Many researchers have explored the potential association between one neurosurgical disease and coronavirus disease 2019 (COVID-19), but few systematically analyzed the association and causality between COVID-19 and various neurosurgical diseases. A Mendelian randomization analysis was conducted to evaluate the causal association between COVID-19 (including critically ill COVID-19, hospitalized COVID-19, and respiratory syndrome coronavirus 2 (SARS-CoV-2) infection) and 30 neurosurgical diseases within European populations. The consequences of inverse variance weighted models suggest that genetic susceptibility of critically ill COVID-19 may increase the risk of cerebral infarction (odds ratio [OR] = 1.02; p-value = 0.006), genetic susceptibility of SARS-CoV-2 infection may increase the risk of stroke (OR = 1.02; p-value = 0.047), and conversely, genetic susceptibility of hospitalized COVID-19 may reduce the risk of pituitary adenoma and craniopharyngioma (OR = 0.90; p-value = 0.032). In addition, evidences revealed potential associations between genetic susceptibility of COVID-19 and spinal stenosis (OR = 1.03; p-value = 0.028), diffuse brain injury (OR = 1.21; p-value = 0.040) and focal brain injury (OR = 1.12; p-value = 0.040). By testing for heterogeneity and pleiotropy, the above causal conclusions are robust. In summary, our analysis shows that COVID-19 has an independent and powerful causal influence on multiple neurosurgical disorders.

Higher oxidative balance score decreases risk of stroke in US adults: evidence from a cross-sectional study

Background

The oxidative balance score (OBS) can be used to represent the overall burden of oxidative stress in an individual. This study aimed to explore the association between the risk of stroke and OBS.

Methods and materials

The National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018 was used to extract a series of variables for participants who took the stroke questionnaire. The construction of OBS relied on diet and lifestyle components, which included 16 nutrients and 4 lifestyle factors. Weighted multivariable-adjusted logistic regression was performed to investigate the association between stroke risk and OBS. A stratified analysis was also conducted. The dose-response relationship between stroke risk and OBS was elucidated by performing a restricted cubic spline function.

Results

A total of 20,680 participants were included for analysis, 768 of whom suffered from stroke. Based on weighted multivariable logistic regression analysis, we discovered that the stroke prevalence decreased by 2% for each OBS unit added [OR: 0.98 (0.97-1.00), P < 0.01]. For the OBS subgroup, we also discovered that higher OBS was related to a reduction in the risk of stroke [Q4 vs. Q1: OR:0.65 (0.46-0.90), P < 0.01]. The prevalence of stroke declined by 3% with every OBS unit added to the diet component [OR: 0.97 (0.96-0.99), P < 0.01]. For the dietary OBS subgroup, higher OBS in diet components was associated with a decrease in the prevalence of stroke [Q4 vs. Q1: OR: 0.65, (0.47-0.91), P < 0.05]. Further stratified analysis showed that every OBS unit raised was associated with a decline in stroke prevalence, which was statistically significant in participants in subgroups of ≥60 years, female, no-diabetes mellitus and no-hypertension. OBS and stroke prevalence were correlated in a linear manner.

Conclusion

The study found that a higher OBS was associated with a decrease in stroke prevalence, which could be a significant indicator for evaluating stroke risk.

Body Mass Index Asian populations category and stroke and heart disease in the adult population: a longitudinal study of the Indonesia Family Life Survey (IFLS) 2007 and 2014

BACKGROUND

A substantially elevated Body Mass Index (BMI) is one of the largest global modifiable risk factors for stroke and heart diseases. Most studies classify BMI according to the WHO BMI cut-off point in stroke and heart disease studies. However, there is a limited understanding of the association between the BMI cut-off point in the Asian population category and stroke and heart disease. This study aimed to investigate the incidence rate ratio of stroke and heart disease by BMI categories for the Asian population.

METHODS

A 7-year prospective longitudinal study (2007-2014) was conducted on 6,688 adult Indonesian individuals (≥ 35 years) residing across 13 different provinces in Indonesia during the survey periods. Data on BMI were collected in 2007. Information on stroke and heart disease was obtained in both 2007 and in 2014. A multivariate-adjusted Poisson regression model was used to estimate the incidence rate ratio (IRR) and 95% confidence intervals (CIs) of either stroke or heart disease or both stroke and heart disease by BMI.

RESULTS

Among the 6,688 eligible participants, 334 (5%) were judged as stroke and heart disease in 2014. The IRR (95% CI) of stroke and heart disease for participants with obesity was 2.57 (1.64-4.04) compared with those within normal weight. This incidence rate ratio was more pronounced among middle-aged adults (< 55 years) rather than the older adults (≥55 years).The IRR of stroke and heart disease among obese middle-aged adults was 4.18 (95% CI 2.10-8.31).

CONCLUSIONS

An association was observed between obesity and the risk of stroke and heart disease, especially in middle-aged adults. These findings suggest that lowering BMI through the adoption of healthy dietary habits and increasing physical activity, particularly among middle-aged adults with high education, occupational employment, and residence in either urban or rural areas, may be beneficial for preventing stroke and heart disease.

Nonlinear connection between remnant cholesterol and stroke risk: evidence from the China health and retirement longitudinal study

OBJECTIVE

The evidence on the relationship between remnant cholesterol (RC) and stroke remains controversial. Therefore, this study aimed to explore the relationship between RC and stroke risk in a Chinese population of middle-aged and elderly individuals.

METHODS

The present study included 10067 Chinese subjects of middle-aged and elderly individuals. The connection between RC and incident stroke was investigated using the multivariate Cox proportional hazards regression model, several sensitivity analyses, generalized additive models, and smoothed curve fitting.

RESULTS

A total of 1180 participants with stroke were recorded during the follow-up period. The multivariate Cox proportional hazards regression model identified a positive connection between RC and stroke risk (hazard ratio (HR) = 1.087, 95% confidence interval (CI): 1.001-1.180). In addition, the current study discovered a nonlinear connection between RC and incident stroke, and the point of inflection for RC was 1.78 mmol/L. The risk of stroke increased by 25.1% with each unit increase in RC level when RC was < 1.78 mmol/L (HR:1.251, 95%CI: 1.089-1.437, P = 0.0015). The results were not affected by sensitivity tests.

CONCLUSION

The current study showed a positive and nonlinear connection between RC and stroke risk in a middle-aged and elderly Chinese population. These findings provided new information to help researchers better understand the relationship between RC levels and incident stroke.

The Medical Burden of Obesity and Overweight in the US Military: Association of BMI with Clinically Diagnosed Medical Conditions in United States Military Service Members

BACKGROUND

A high BMI is associated with various medical conditions, notably type 2 diabetes, cardiovascular disease, and mental health disorders. In the US military, BMI increased linearly between 1975 and 2015.

OBJECTIVE

This cross-sectional study investigated the associations between BMI and a comprehensive range of clinically diagnosed medical conditions (CDMCs) in US military service members (SMs).

METHODS

A stratified random sample of SMs (n=26,177) completed an online questionnaire reporting their height, weight, and demographic/lifestyle characteristics. Medical conditions for 6 mo before questionnaire completion were obtained from a comprehensive military electronic medical surveillance system and grouped into 39 CDMCs covering both broad (largely systemic) and specific medical conditions. BMI was calculated as weight/height2 (kg/m2). The prevalence of CDMCs was compared among normal weight (<25.0 kg/m2), overweight (25.0-29.9 kg/m2), and obese (≥30 kg/m2) SMs.

RESULTS

After multivariable adjustment for demographic/lifestyle characteristics, higher BMI was associated with higher odds of a diagnosed medical condition in 30 of 39 CDMCs, with all 30 displaying dose-response relationships. The 5 major CDMCs with the largest odds ratios comparing obese to normal weight were endocrine/nutritional/metabolic diseases (OR=2.67, 95%CI=2.24-3.15), nervous system diseases (odds ratio [OR]=2.59, 95%CI=2.32-2.90), circulatory system diseases (OR=2.56, 95%CI=2.15-3.06), musculoskeletal system diseases (OR=1.92, 95%CI=1.76-2.09), and mental/behavioral disorders (OR=1.69, 95%CI=1.51-1.90). Compared with normal weight SMs, overweight or obese SMs had a higher number of CDMCs (1.8±1.9 vs. 2.0±2.0 and 2.5±2.3, mean ± standard deviation, respectively, P<0.01).

CONCLUSIONS

In a young, physically active population, higher BMI was associated with a host of medical conditions, even after adjustment for demographic/lifestyle characteristics. The US Department of Defense should improve nutrition education and modify other factors that contribute to overweight and obesity. This study demonstrates that the medical burden of obesity is substantial in overweight and obese SMs.

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.

Trends in deaths and disability-adjusted life-years of stroke attributable to high body-mass index worldwide, 1990-2019

Background

High body mass index (HBMI) is an independent risk factor for stroke. Previous studies on the incremental burden of the rapid growth of stroke attributable to HBMI are incomplete and lag behind. We aim to assess the global burden of stroke attributable to HBMI based on a public database online.

Materials and methods

Study data were taken from the Global Burden of Disease, Injuries, and Risk Factors Study; deaths, the Disability-Adjusted Life-Years (DALYs), and their age-standardized rates were screened. The join point regression was used, wherein age-standardized rates were referred to as temporal trends in disease burden.

Results

Deaths from stroke attributable to HBMI worldwide were on the rise during 1990-2019, with an increase of 88.75%. Age-standardized DALYs were on the rise during 1990-2003 but declined during 2003-2013, with a turning point in 2013 and an increasing trend since then [the Annual Percentage Change (APC) = 0.30%, p < 0.05]. China, India, Indonesia, the Russian Federation, and the United States of America shared in sequence the rate of leading deaths and DALYs in 2019. The Socio-Demographic Index (SDI) was associated with an increasing trend in age-standardized deaths (R = -0.24, p < 0.001) and age-standardized DALYs (R = -0.22, p = 0.0018).

Conclusion

A range of indicators for the global burden of stroke attributable to HBMI have been on the rise for the past three decades. Tremendous efforts worldwide should be in place to control and treat stroke attributable to HBMI, especially in regions with high-middle and middle SDIs and among middle-aged and aged populations.