Association between body mass index and outcome in Japanese ischemic stroke patients

Long-term risk factors of recurrent stroke, myocardial infarction and death in patients leaving hospital with a diagnosis of ischemic stroke or TIA

Objectives. The prevalence of patients with prior stroke is increasing globally. Accordingly, there is a need for up-to-date evidence of patient-related prognostic factors for stroke recurrence, post stroke myocardial infarction (MI) and death based on long-term follow-up of stroke survivors. For this purpose, the RIALTO study was established in 2004. Design. A prospective cohort study in which patients diagnosed with ischemic stroke (IS) or transient ischemic attack (TIA) in three Copenhagen hospitals were included. Data were collected from medical records and by structured interview. Data on first stroke recurrence, first MI and all-cause death were extracted from the Danish National Patient Registry and the Danish Civil Registration System. Results. We included 1215 patients discharged after IS or TIA who were followed up by register data from April 2004 to end of 2018 giving a median follow-up of 3.5-6.9 years depending on the outcome. At the end of follow-up 406 (33%) patients had been admitted with a recurrent stroke, 100 (8%) had a MI and 822 (68%) had died. Long-term prognostic predictors included body mass index, diabetes, antihypertensive and lipid lowering treatment, smoking, a sedentary lifestyle as well as poor self-rated health and psychosocial problems. Conclusions. Long-term risk of recurrent stroke and MI remain high in patients discharged with IS or TIA despite substantial improvements in tertiary preventive care in recent decades. Continued attention to the patient risk profile among patients surviving the early phase of stroke, including comorbidities, lifestyle, and psychosocial challenges, is warranted.

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.

Non-linear association between body weight and functional outcome after acute ischemic stroke

This study aimed to determine whether body weight is associated with functional outcome after acute ischemic stroke. We measured the body mass index (BMI) and assessed clinical outcomes in patients with acute ischemic stroke. The BMI was categorized into underweight (< 18.5 kg/m²), normal weight (18.5-22.9 kg/m²), overweight (23.0-24.9 kg/m²), and obesity (≥ 25.0 kg/m²). The association between BMI and a poor functional outcome (modified Rankin Scale [mRS] score: 3-6) was evaluated. We included 11,749 patients with acute ischemic stroke (70.3 ± 12.2 years, 36.1% women). The risk of a 3-month poor functional outcome was higher for underweight, lower for overweight, and did not change for obesity in reference to a normal weight even after adjusting for covariates by logistic regression analysis. Restricted cubic splines and SHapley Additive exPlanation values in eXtreme Gradient Boosting model also showed non-linear relationships. Associations between BMI and a poor functional outcome were maintained even after excluding death (mRS score: 3-5) or including mild disability (mRS score: 2-6) as the outcome. The associations were strong in older patients, non-diabetic patients, and patients with mild stroke. Body weight has a non-linear relationship with the risk of a poor functional outcome after acute ischemic stroke.

Body mass index has a non-linear association with three-month outcomes in men with acute ischemic stroke: An analysis based on data from a prospective cohort study

Objective

Despite reports of a connection between body mass index (BMI) and stroke outcome, the findings remain debatable. In this investigation, we sought to determine whether BMI was associated with the probability of 3-month unfavorable outcomes in patients with acute ischemic stroke (AIS).

Methods

This is a second analysis based on a cohort study. 1,897 people with AIS who were treated at a hospital in South Korea from January 2010 to December 2016 were included in the study. The linear relationship between BMI and unfavorable outcomes for AIS patients was evaluated using a binary logistic regression model. The generalized additive model (GAM) and smoothed curve fitting (penalized spline approach) were employed to see if there was a non-linear association between BMI and unfavorable outcomes in patients with AIS.

Results

The binary logistic regression model did not detect any statistically significant correlation between BMI and unfavorable outcomes in AIS patients after controlling for variables. The association between them, however, was non-linear, with the BMI inflection point occurring at 23.07 kg/m2. Each 1 kg/m2 rise in BMI on the left side of the inflection point was linked to a 12% lower risk of unfavorable outcomes (OR= 0.88, 95% CI: 0.82 to 0.96, p = 0.003). We stratified the AIS patients by gender to further explore their relationship. The results showed a specific non-linear relationship and saturation effect of BMI (kg/m2) with 3-month unfavorable outcomes in male patients but not in female patients. The inflection point for BMI was 23.35 kg/m2. When BMI was below 23.35 kg/m2 in men with AIS, BMI was inversely associated with unfavorable outcomes (OR=0.89,95% CI:0.80-0.98).

Conclusion

A particular non-linear connection and saturation effect between BMI (kg/m2) and 3-month unfavorable outcomes were present in male patients with AIS but not in females. 23.35 kg/m2 was the BMI's inflection point. The probability of unfavorable outcomes was substantially and inversely associated with BMI in men with AIS when it was less than 23.35 kg/m2. Men with AIS should have a BMI of no less than 23.35 kg/m2 to reduce the probability of unfavorable outcomes following AIS.

The relationship between nutritional status at the time of stroke on adverse outcomes: a systematic review and meta-analysis of prospective cohort studies

CONTEXT AND OBJECTIVE

The impact of existing malnutrition on stroke outcomes is poorly recognised and treated. Evidence was systematically reviewed and quantified by meta-analysis.

METHODS

MEDLINE, EMBASE and Web of Science were searched from inception to 11 January 2021 and updated in July. Prospective cohort studies, in English, evaluating anthropometric and biomarkers of nutrition on stroke outcomes were included. Risk of bias was assessed using the Scottish Intercollegiate Guidelines Network checklist.

RESULTS

Twenty-six studies (n = 156 249) were eligible (follow-up: One month-14 years). Underweight patients had increased risk of long-term mortality (adjusted hazard ratio = 1.65,1.41-1.95), whilst overweight (0.80,0.74-0.86) and obese patients (0.80,0.75-0.85) had decreased risk compared to normal weight. Odds of mortality decreased in those with high serum albumin (odds ratio = 0.29,0.18-0.48) and increased with low serum albumin (odds ratio = 3.46,1.78-6.74) compared to normal serum albumin (30-35 g/L). Being malnourished compared to well-nourished, as assessed by the Subjective Global Assessment (SGA) or by a combination of anthropometric and biochemical markers increased all-cause mortality (odds ratio = 2.38,1.85-3.06) and poor functional status (adjusted odds ratio = 2.21,1.40-3.49).

CONCLUSION

Nutritional status at the time of stroke predicts adverse stroke outcomes.

Underweight predicts poststroke cardiovascular events in patients without atrial fibrillation

BACKGROUND AND PURPOSE

The purpose of this study was to determine whether underweight is associated with poststroke cardiovascular events and whether such association is different according to the presence of atrial fibrillation (AF).

METHODS

Patients with acute stroke or transient ischemic attack who were prospectively registered in a multicenter stroke database from April 2008 to July 2020 were analyzed, excluding those aged 75 or older and those who were overweight. We prospectively captured major adverse cardiovascular events (MACE) within one year after stroke. Cox-proportional hazard regression analysis was conducted for each subgroup with or without AF after adjusting for predetermined vascular risk factors and potential confounders.

RESULTS

Among 30,912 patients, 1494 (4.8%) cases were underweight and 29,418 (95.2%) cases were normal weight. The cumulative event rate of 1-year MACE was higher in the underweight group (9.0%) than in the normal weight group (5.6%). In Cox-proportional regression, underweight was associated with significantly higher MACE (adjusted hazard ratio [HR]: 1.62, 95% confidence interval [CI]: 1.26-2.09) and recurrent stroke (adjusted HR: 1.42, 95% CI: 1.02-1.98) in all study patients. In patients with AF, the risk of MACE for the underweight group was not significantly increased. In contrast, in patients without AF, the underweight group had a consistently higher risk of MACE (adjusted HR: 1.66, 95% CI: 1.25-2.22) and recurrent stroke (adjusted HR: 1.50, 95% CI: 1.05-2.14).

CONCLUSIONS

Underweight increased the risk of MACE and recurrent stroke within one year after acute stroke, especially in stroke without AF.

Combined Functional Assessment for Predicting Clinical Outcomes in Stroke Patients After Post-acute Care: A Retrospective Multi-Center Cohort in Central Taiwan

Background and Objective

In 2014, Taiwan’s National Health Insurance administration launched a post-acute care (PAC) program for patients to improve their functions after acute stroke. The present study was aimed to determine PAC assessment parameters, either alone or in combination, for predicting clinical outcomes.

Methods

We retrospectively enrolled stroke adult patients through one PAC network in central Taiwan between January 2014 and December 2020. We collected data on post-stroke patients’ functional ability at baseline and after PAC stay. The comprehensive assessment included the following: Modified Rankin Scale (MRS), Functional Oral Intake Scale (FOIS), Mini-Nutritional Assessment (MNA), Berg Balance Scale (BBS), Fugl-Meyer Assessment (FMA), Mini-Mental State Examination (MMSE), aphasia test, and quality of life. The above items were assessed first at baseline and again at discharge from PAC. Logistic regression was used to determine factors that were associated with PAC length of stay (LOS), 14-day hospital readmission, and 1-year mortality.

Results

A total of 267 adults (mean age 67.2 ± 14.7 years) with completed data were analyzed. MRS, activities of daily living (ADLs), instrumental activities of daily living (IADLs), BBS, and MMSE all had improved between disease onset and PAC discharge. Higher baseline and greater improvement of physical and cognitive functions between initial and final PAC assessments were significantly associated with less readmission, and lower mortality. Furthermore, the improved ADLs, FOIS, MNA, FMA-motor, and MMSE scores were related to LOS during PAC. Using logistic regression, we found that functional improvements ≥5 items [adjusted odds ratio (aOR) = 0.16; 95% confidence interval (CI) = 0.05–0.45] and improved MMSE (aOR = 0.19; 95% CI = 0.05–0.68) were significantly associated with reduced post-PAC mortality or readmission. Whereas, functional improvements ≥7 items, improved FOIS, and MNA significantly prolonged LOS during PAC.

Conclusion

Physical performance parameters of patients with acute stroke improved after PAC. PAC assessment with multiple parameters better predicted clinical outcomes. These parameters could provide information on rehabilitation therapy for acute stroke patients receiving PAC.

Functional status and its related factors among stroke survivors in rehabilitation departments of hospitals in Shenzhen, China: a cross-sectional study

Background

Many stroke survivors have multiple chronic diseases and complications coupled with various other factors which may affect their functional status. We aimed to investigate the factors associated with poor functional status in hospitalized patients with stroke in Shenzhen, China.

Methods

In this cross-sectional study, four urban hospitals were selected using convenient sampling, and all stroke patients in these four hospitals were included using cluster sampling. The functional status of stroke survivors was evaluated using Longshi Scale. Explanatory variables (factors affecting functional status comprising age, sex, body mass index, smoking, alcohol consumption, complications, and chronic conditions) were collected. Ordinal logistic regression was used to examine which factors were associated with poor functional status.

Results

Stroke survivors with poor functional status accounted for 72.14% and were categorised as the bedridden group based on Longshi scale, 21.67% of patients with moderate functional limitation were categorised as the domestic group, and 6.19% of the patients with mild functional restriction were categorised as the community group. The highest dependence scores were noted for feeding (73.39%), bowel and bladder management (69.74%) and entertainment (69.53%) among the bedridden group, and housework (74.29%) among the domestic group. In the adjusted model, the odds of poor functional status were higher among stroke patients with older age (odds ratio [OR] = 2.39, 95% CI: 1.55–3.80), female sex (OR = 1.73, 95% CI: 1.08–2.77), duration of stroke more than 12 months (OR = 1.94, 95% CI: 1.28–2.95), with pulmonary infection (OR = 10.91, 95% CI: 5.81–20.50), and with deep venous thrombosis (OR = 3.00, 95% CI: 1.28–7.04).

Conclusions

Older adults (age ≥ 60 years) and women were more likely to exhibit poor functional status post-stroke. Pulmonary infection and deep venous thrombosis were related to an increased risk of being dependent on activities of daily living. Therefore, clinical and rehabilitation interventions aimed at preventing or treating these common complications should be addressed to deal with subsequent dysfunction post-stroke. Since all data were obtained in metropolitan areas where the economy is well developed, future studies should be conducted in rural areas and economically less developed cities.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12883-022-02696-0.

Influence of BMI on adenosine deaminase and stroke outcomes in mechanical thrombectomy subjects

Background

Emergent Large Vessel Occlusion (ELVO) strokes are ischemic vascular events for which novel biomarkers and therapies are needed. The purpose of this study is to investigate the role of Body Mass Index (BMI) on protein expression and signaling at the time of ELVO intervention. Additionally, we highlight the protein adenosine deaminase (ADA), which is a deaminating enzyme that degrades adenosine, which has been shown to be neuroprotective in ischemia. We investigate the relationship between ADA and BMI, stroke outcomes, and associated proteomic networks which might aid in personalizing prognosis and future treatment of ELVO stroke.

Methods

The Blood And Clot Thrombectomy And Collaboration (BACTRAC) study is a continually enrolling tissue bank (clinicaltrials.gov NCT03153683) and registry from stroke patients undergoing mechanical thrombectomy (MT). N ​= ​61 human carotid plasma samples were analyzed for inflammatory and cardiometabolic protein expression by Olink Proteomics. Statistical analyses used t-tests, linear, logistic, and robust regressions, to assess the relationship between BMI, proteomic expression, and stroke-related outcomes.

Results

The 61 subjects studied were broken into three categories: normal weight (BMI 18.5–24.9) which contained 19 subjects, overweight (BMI 25–30) which contained 25 subjects, and obese (BMI ≥30) which contained 17 subjects. Normal BMI group was a significantly older population (mean 76 years) when compared to overweight (mean 66 years) and obese (mean 61 years) with significance of p ​= ​0.041 and p ​= ​0.005, respectively. When compared to normal weight and overweight categories, the obese category had significantly higher levels of adenosine deaminase (ADA) expression (p ​= ​0.01 and p ​= ​0.039, respectively). Elevated levels of ADA were found to have a significant positive correlation with both infarct volume and edema volume (p ​= ​0.013 and p ​= ​0.041, respectively), and were associated with a more severe stroke (NIHSS on discharge) and greater stroke related disability (mRS on discharge) with significance of p ​= ​0.053 and p ​= ​0.032, respectively.

Conclusions

When examined according to BMI, subjects undergoing MT for ELVO demonstrate significant differences in the expression of certain plasma proteins, including ADA. Levels of ADA were found to be significantly higher in the obese population when compared to normal or overweight groups. Increased levels of ADA in the obese group were predictive of increased infarct volume, edema volume, and worse NIHSS scores and mRS at discharge. These data provide novel biomarker candidates as well as treatment targets while increasing the personalization of stroke prognosis and treatment.

•

Adenosine deaminase is minimally reported on in the stroke literature.

•

In our cohort of ischemic ELVO stroke patients treated with mechanical thrombectomy:

•

Subjects with higher BMI had higher ADA expression.

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Higher ADA is predictive of larger infarct volume, edema volume, and increased mRS and NIHSS on discharge.

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ADA and related proteins may serve as novel and personalized prognostic biomarkers as well as potential therapeutic targets.

The obesity paradox may not lead to functional gains in stroke patients undergoing acute inpatient rehabilitation

INTRODUCTION

Obesity is a risk factor for many adverse health outcomes. However for some cardiac conditions and cancers, evidence of an "obesity paradox" seems to exist where an elevated body mass index (BMI) is linked to protective effects in mortality and functional outcomes. Within the stroke rehabilitation literature, there are conflicting findings on this phenomenon possibly due to unaccounted for variables, such as comorbid medical conditions.

OBJECTIVE

To investigate the association between BMI and functional gains made in acute inpatient stroke rehabilitation, and the effects of multiple confounding variables.

DESIGN

Retrospective cohort study.

SETTING

Tertiary academic hospital.

PATIENTS

Three hundred ninety-two adults following a recent ischemic (82%) or hemorrhagic (18%) stroke with a mean age 62.9 years.

INTERVENTIONS

Acute inpatient rehabilitation.

MAIN OUTCOME MEASURES

Functional Independence Measure (FIM) score and BMI.

RESULTS

A significant association was found between motor FIM score gains and elevated BMI when BMI was treated as a continuous variable (p < .05). However, this association disappeared when patient factors and comorbid conditions were taken into account and when BMI was conceptualized categorically (underweight [BMI <18.5], normal [BMI 18.5-24.9], overweight [BMI 25.0-29.9], obese [BMI 30.0-39.9], and severely obese [BMI ≥40.0]). Advanced age, higher motor function on admission, and a diagnosis of diabetes were all significantly associated with decreased motor FIM gains.

CONCLUSIONS

The results from this study provide insufficient evidence to support the "obesity paradox" once patient factors and comorbid conditions are taken into account. Diabetes was the single comorbidity tracked that showed a significant association with change in motor function (p = .01). Further studies might explore how the unique interventions of rehabilitation physicians and ancillary health professionals might mitigate the functional debility associated with diabetes and obesity in stroke patients.

Association between dynamic obesity and mortality in patients with first-ever ischemic stroke: A hospital-based prospective study

Although obesity is an established risk factor of primary stroke, the association between obesity and post-stroke mortality remains unclear. The aim of this study was to investigate the association between dynamic obesity status and mortality in survivors of their first stroke in China.Of 775 patients with first-ever ischemic stroke included in a longitudinal study, 754 patients were included in this study and categorized into 4 categories of body mass index (BMI) (underweight, normal weight, overweight, and obese) and 2 categories of waist circumference (WC) (normal WC and abdominal obesity) according to standard Chinese criteria. The mortality information and obesity status were obtained via telephone follow-up every 3 months, beginning in 2010 through 2016. Time-dependent Cox proportional hazards models were used to estimate the unadjusted and adjusted hazard ratios (HRs) for the relationship between all-cause mortality and dynamic obesity status.Of 754 patients, 60.87% were male, and the overall mean age was 61.45 years. After adjusting for possible confounders, significant inverse associations were identified between BMI and WC and all-cause mortality. Compared with those with normal BMI or WC, those with abdominal obesity or overweight had a significantly lower risk of all-cause mortality (HR and 95% confidence intervals [CIs]: .521 [.303-.897] and 0.545 [.352-.845], respectively), whereas patients with underweight had the highest risk and those with obesity had lower risk of mortality, though it was not statistically significant (1.241 [.691-2.226] and .486 [.192-1.231], respectively).Overweight and abdominal obesity were paradoxically associated with reduced risk of mortality in patients who survived their first-ever ischemic stroke in China. Future prospective studies must look at evaluating the role of obesity in different stroke subtypes and devise appropriate weight-management strategies for optimal prognoses in secondary prevention in these survivors.

Predicting Functional Outcome Based on Linked Data After Acute Ischemic Stroke: S-SMART Score

Prediction of outcome after stroke may help clinicians provide effective management and plan long-term care. We aimed to develop and validate a score for predicting good functional outcome available for hospitals after ischemic stroke using linked data. A total of 22,005 patients with acute ischemic stroke from the Clinical Research Center for Stroke Registry between July 2007 and December 2014 were included in the derivation group. We assessed functional outcomes using a modified Rankin scale (mRS) score at 3 months after ischemic stroke. We identified predictors related to good 3-month outcome (mRS score ≤ 2) and developed a score. External validations (geographic and temporal validations) of the developed model were performed. The prediction model performance was assessed using the area under the receiver operating characteristic curve (AUC) and the calibration test. Stroke severity, sex, stroke mechanism, age, pre-stroke mRS, and thrombolysis/thrombectomy treatment were identified as predictors for 3-month good functional outcomes in the S-SMART score (total 34 points). Patients with higher S-SMART scores had an increased likelihood of a good outcome. The AUC of the prediction score was 0.805 (0.798-0.811) in the derivation group and 0.812 (0.795-0.830) in the geographic validation group for good functional outcome. The AUC of the model was 0.812 (0.771-0.854) for the temporal validation group. Moreover, they had good calibration. The S-SMART score is a valid and useful tool to predict good functional outcome following ischemic stroke. This prediction model may assist in the estimation of outcomes to determine care plans after stroke.

A systematic review of the impact of obesity on stroke inpatient rehabilitation functional outcomes

BACKGROUND

Obesity is a known risk factor for stroke, but its impact on functional recovery is less clear. Understanding the effect of obesity on functional recovery during inpatient rehabilitation will aid clinicians in patient counselling and help administrators with program planning.

OBJECTIVE

To determine if obesity affects the functional outcomes of adults undergoing inpatient stroke rehabilitation.

METHODS

MEDLINE, Embase, CINAHL, and Cochrane databases were searched using the subject headings and text word terms for stroke, rehabilitation, and obesity. Two independent reviewers screened the articles against pre-defined eligibility criteria and extracted the data. Outcomes of interest included FIM, mRS, Fugl-Meyer Assessment of Sensorimotor Recovery after Stroke, and Barthel Index.

RESULTS

Seven studies from five countries with a total of 3070 participants were included. There was significant heterogeneity among the studies in the BMI cut-off points and functional outcome measures used. Two studies found a positive association between obesity and functional outcome, two studies found no association, and three studies reported a negative relationship.

CONCLUSIONS

No conclusions could be drawn regarding whether the functional outcome of adults undergoing inpatient stroke rehabilitation differ between individuals with and without obesity.

The Prevalence of Dyslipidemia and Hyperglycemia among Stroke Patients: Preliminary Findings

Background/Aim

Stroke or cerebrovascular accident is defined as sudden or sub acute onset of focal neurologic deficit, caused by the interruption of blood flow to parts of the brain. In this study, we aimed to investigate the prevalence of dyslipidemia and hyperglycemia among stroke patients in Palestine.

Materials and Methods

A total of 70 patients with stroke were included in a cross-sectional study between November 2017 and February 2018. Stroke patients were diagnosed based on a CT scan reviewed by a neurologist. Fasting venous blood samples were collected to measure the lipid profile (cholesterol, low-density lipoproteins (LDL), triacylglycerol (TAG), high-density lipoproteins (HDL)), fasting blood glucose (FBG), and glycosylated hemoglobin (Hb_A1c) levels. An interview-based questionnaire, included background data, past medical history, family history, and other risk factors for stroke, was filled for each patient.

Results

Based on our results, 28.57% of patients had high LDL, 17.1% had high cholesterol, 15.7% had high TAG and 61.3% had low HDL. About half of the patients (51.4%) had abnormal Hb_A1c and abnormal FBG (52.8%). The majority (67.1%) of patients were males, whereas, 11% of patients were obese (BMI of more than 30 kg/m²) and 51.4% were smokers. Regarding the family history of diseases, 81% of patients had a family history of hypertension, 50% had a family history of stroke, and 58% had a family history of diabetes mellitus.

Conclusion

Male gender and smoking were most likely to increase the risk of stroke. Risk factors like low HDL, high LDL, high FBG, high Hb_A1c, and hypertension contribute substantially to the incidence of stroke. A family history of stroke, hypertension and diabetes were significant risk factors for stroke.

Diet after Stroke and Its Impact on the Components of Body Mass and Functional Fitness-A 4-Month Observation

The aim of the study was to assess the effect of various diets on BMI and selected components of body mass, i.e., fat mass (FAT%), visceral fat (VFAT level), muscle mass (PMM %), body water (TBW %), and functional fitness during a 4-month observation period. Examinations were conducted three times in a group of 100 people after a stroke. The study group was divided into four subgroups according to the type of diet applied. The components of body mass were assessed using the electrical bioimpedance method, and functional fitness using the Barthel scale, the Brunnström scale, and the modified Ashworth scale. Despite the fact that there were no significant differences among the diets applied, it was observed that each of them had a positive effect on the reduction of the mean BMI, FAT%, VFAT level, and the increase in TBW% and PMM%. At the same time, there was a significant improvement in the functional fitness of the hand and upper limb. Weight control and a change in eating habits after a stroke incident is extremely important as it promotes faster recovery and improved functional fitness.

Secondary prevention and lifestyle indices after stroke in a long-term perspective

OBJECTIVES

To describe the long-term perspective regarding prevalence of risk factors, secondary stroke prevention, and lifestyle indices after stroke.

METHODS

From a population-based one-year cohort (n = 416), we performed an observational study of 145 survivors at 16 months and 10 years after stroke (age 27-97 years) regarding secondary prevention including reaching acceptable treatment goals; nutritional status with focus on underweight; and the lifestyle indices: living situation, level of dependence, and self-assessed health condition.

RESULTS

Ten years after stroke, 50% of the subjects with hypertension diagnosis and 55% of those without hypertension diagnosis were within the blood pressure goal <140/90 compared with 32% (P = .008) and 37% (N.S.) at 16 months. Acceptable HbA1c levels among subjects with diabetes mellitus diagnosis increased from 35% to 45% (N.S.). Among those without diabetes diagnosis, satisfactory HbA1c levels decreased from 98% to 79% (P < .001). Underweight increased from 9% to 17% (P = .019). Among patients with cerebral infarction, the prevalence of atrial fibrillation increased from 22% to 29% (P = .004), and treatment with oral anticoagulants from 75% to 78% (N.S.). Acceptable LDL cholesterol levels increased from 59% to 80% (P = .033) among subjects on lipid lowering treatment, and from 18% to 40% among untreated (P = .010). At 10 years, 90% still lived in their own home. Health condition was reported as good/very good/excellent by 65%. Age, female sex, and living situation were associated with intensity of secondary prevention measures and underweight.

CONCLUSIONS

The proportion of individuals within treatment goals improved over time, but secondary prevention still needed additional consideration 10 years after stroke.

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.

Physical activity, but not body mass index, predicts less disability before and after stroke

OBJECTIVE

To determine whether physical activity and body mass index (BMI) predict instrumental or basic activities of daily living (I/ADL) trajectories before or after stroke compared to individuals who remained stroke-free.

METHODS

Using a prospective cohort, the Health and Retirement Study, we followed adults without a history of stroke in 1998 (n = 18,117) for up to 14 years. We estimated linear regression models of I/ADL trajectories comparing individuals who remained stroke-free throughout follow-up (n = 16,264), those who survived stroke (n = 1,374), and those who died after stroke and before the next interview wave (n = 479). We evaluated whether I/ADL trajectories differed by physical activity or BMI at baseline (before stroke), adjusting for demographic and socioeconomic covariates.

RESULTS

Compared to those who were physically active, stroke survivors who were physically inactive at baseline had a lower probability of independence in ADLs and IADLs 3 years after stroke (risk difference = -0.18 and -0.16 for ADLs and IADLs, respectively). However, a similar difference in the probability of independence was also present 3 years before stroke, and we observed no evidence that physical activity slowed the rate of decline in independence before or after stroke. Unlike the results for physical activity, we did not observe a consistent pattern for the probability of independence in ADLs or IADLs comparing obese stroke survivors to normal-weight or to overweight stroke survivors 3 years before stroke or 3 years after stroke.

CONCLUSIONS

Physical inactivity predicts a higher risk of being dependent both before and after stroke.

Combination of Low Body Mass Index and Low Serum Albumin Level Leads to Poor Functional Recovery in Stroke Patients

BACKGROUND

Nutritional status is associated with the functional recovery of stroke patients. This study aimed to examine the influence of the combination of body mass index (BMI) and serum albumin level on functional recovery in subacute stroke patients.

METHODS

This retrospective cohort study included 259 subacute stroke patients (mean age 68.9 ± 12.3 years). Patients were categorized into 4 groups according to their BMI and serum albumin level: group 1, low BMI (<18.5 kg/m²) and low serum albumin level (<3.5 g/dL); group 2, low BMI and high serum albumin level (≥3.5 g/dL); group 3, normal weight (≥18.5 kg/m²) and low serum albumin level; and group 4, normal weight and high serum albumin level. The outcome variable was the motor subscale of the Functional Independence Measure (M-FIM) effectiveness. We defined the first quartile of M-FIM effectiveness as poor functional recovery. Multivariate logistic regression analysis was performed to examine the influence of the combination of BMI and serum albumin level on poor functional recovery.

RESULTS

Multivariate logistic regression analysis adjusted for baseline characteristics (reference, group 4) showed that group 1 was mostly associated with a significant risk of poor functional recovery (odds ratio, 4.13; 95% confidence interval, 1.53-11.15).

CONCLUSIONS

Our results suggested that the combination of low BMI and low serum albumin level was more significantly associated with poor functional recovery in subacute stroke patients than either factor alone. The combination of BMI and serum albumin level should be taken into account when predicting functional recovery in subacute stroke patients.