Citations

Introduction: Tobacco use is a known risk factor for stroke and other cardiovascular diseases. However, the relationship between e-cigarette smoking and stroke is largely unknown. Hypothesis: This study aims to assess the effect of e-cigarettes among people who have had a history of stroke. Methods: A cross-sectional survey was performed using the NHANES database from 2015 to 2018 in the US population. We identified participants 18 or older with a history of stroke and their smoking habits (e-cigarette, traditional, and dual smoking). The chi-square test, unpaired t-test, and multivariable logistic regression models were used to examine the association of e-cigarette consumption among the stroke population. Results: Out of a total of 266,058 respondents, 79,825 were smokers [E-cigarette: 7,756 (9.72%); Traditional: 48,625(60.91%), Dual smokers: 23,444 (29.37%)] Overall prevalence of stroke was 5.41% (n=4194) amongst various types of smokers. Amongst females with stroke, the prevalence of e-cigarette use was higher compared to traditional smoking. (36.36% vs 33.91%; p<0.001) Mexican Americans (21.21% vs. 6.02%) and other Hispanics (24.24% vs. 7.70%) had a higher prevalence of e-cigarette use than traditional smoking. (p<0.001) E-cigarette smokers were having an early onset of stroke in comparison with dual and traditional smokers. (Median age in years: 48 vs. 50 vs. 59, respectively; p<0.001). Stroke was more prevalent amongst traditional smokers compared to e-cigarette and dual smokers (6.75% vs. 1.09% vs. 3.72% p<0.001). In multivariable logistic regression analysis, the odds of having a history of stroke were higher amongst e-cigarettes in comparison with traditional smokers. (aOR:1.15; 95%CI: 1.15-1.16; p<0.001). Conclusion: Although stroke was more prevalent in traditional smokers, e-cigarette smokers had early-onset and higher odds of stroke compared to traditional smokers. More prospective studies are needed to evaluate the long-term effects and safety of e-cigarettes to mitigate the risk of cardio and cerebrovascular disorders.

Abstract BACKGROUND Uncertainty remains over the relationship between blood pressure (BP) variability (BPV), measured in hospital settings, and clinical outcomes following acute ischemic stroke (AIS). We examined the association between within-person systolic blood pressure (SBP) variability (SBPV) during hospitalization and readmission-free survival, all-cause readmission, or all-cause mortality 1 year after AIS. METHODS In a cohort of 862 consecutive patients (age [mean ± SD] 75 ± 15 years, 55% women) with AIS (2005–2018, follow-up through 2019), we measured SBPV as quartiles of standard deviations (SD) and coefficient of variation (CV) from a median of 16 SBP readings obtained throughout hospitalization. RESULTS In the cumulative cohort, the measured SD and CV of SBP in mmHg were 16 ± 6 and 10 ± 5, respectively. The hazard ratios (HR) for readmission-free survival between the highest vs. lowest quartiles were 1.44 (95% confidence interval [CI] 1.04–1.81) for SD and 1.29 (95% CI 0.94–1.78) for CV after adjustment for demographics and comorbidities. Similarly, incident readmission or mortality remained consistent between the highest vs. lowest quartiles of SD and CV (readmission: HR 1.29 [95% CI 0.90–1.78] for SD, HR 1.29 [95% CI 0.94–1.78] for CV; mortality: HR 1.15 [95% CI 0.71–1.87] for SD, HR 0.86 [95% CI 0.55–1.36] for CV). CONCULSIONS In patients with first AIS, SBPV measured as quartiles of SD or CV based on multiple readings throughout hospitalization has no independent prognostic implications for the readmission-free survival, readmission, or mortality. This underscores the importance of overall patient care rather than a specific focus on BP parameters during hospitalization for AIS.

Abstract Among people with multiple sclerosis, cognitive impairment occurs commonly and is a potent predictor of disability. Some multiple sclerosis patients present with severe cognitive impairment, and distinguishing multiple sclerosis-related cognitive impairment from co-existent progressive neurodegenerative diseases such as Alzheimer disease poses a diagnostic challenge. The use of biomarkers such as PET and CSF proteins may facilitate this distinction. The study was a retrospective, descriptive study on convenience samples of separate cohorts, one of cognitively impaired multiple sclerosis patients evaluated on autopsy to demonstrate coincidence of both multiple sclerosis and neurodegenerative cognitive diseases. The second cohort were cognitively impaired multiple sclerosis patients evaluated by biomarker to investigate possible additional neurodegenerative cognitive disorders contributing to the cognitive impairment. We investigated selected biomarkers among 31 severely impaired patients (biomarker cohort) and 12 severely impaired patients assessed at autopsy and selected 24 (23 biomarker cohort, 1 autopsy cohort) had comprehensive neurocognitive testing. Biomarker cohort investigations included 18F-Fluorodeoxyglucose PET and/or CSF amyloid Aβ1-42, phospho-tau and total tau levels. The autopsy cohort was evaluated with comprehensive neuropathological assessment for aetiology of cognitive impairment. The cohorts shared similar sex, age at multiple sclerosis onset and multiple sclerosis clinical course. The autopsy-cohort patients were older at diagnosis (69.5 versus 57 years, P = 0.006), had longer disease duration [median (range) 20 years (3–59) versus 9 (1–32), P = 0.001] and had more impaired bedside mental status scores at last follow-up [Kokmen median (range) 23 (1–38) versus 31 (9–34) P = 0.01]. Autopsy-cohort patients confirmed, or excluded, coexistent neurogenerative disease by neuropathology gold standard. Most biomarker-cohort patients had informative results evaluating coexistent neurogenerative disease. Biomarkers may be useful in indicating a coexistent neurodegenerative disease earlier, and in life, in patients with multiple sclerosis and significant cognitive impairment.

Introduction: Tobacco use is one of the most significant risk factors for stroke. Besides traditional cigarettes and combustible products, the use of e-cigarettes and electronic nicotine delivery products has been widespread among young adults in the recent era. Furthermore, the trend of vaping has increased over the last decade. However, the relationship between e-cigarettes and stroke is largely unknown. The aim of this study was to evaluate the prevalence and identify the relationship between e-cigarette smoking and stroke. Methods: A cross-sectional study was performed using the NHANES database of the US population. Adults with a history of smoking were considered in our study and divided into three groups, e-cigarette users, traditional, and dual smokers. The Chi-squared test, Wilcoxon rank-sum test, and multivariable logistic regression analysis were used to identify the prevalence and association of e-cigarette consumption and stroke. Results: Out of a total of 266,058 respondents from 2015 to 2018, we found 79,825 respondents who smoked e-cigarettes (9.72%) or traditional (29.37%) or dual smoking (60.91%). Stroke prevalence among e-cigarette smokers was 1.57%. Stroke was more prevalent among traditional smokers than among e-cigarette smokers. (6.75% vs. 1.09%; p < 0.0001) E-cigarette smokers had early onset of stroke in comparison with traditional smokers. (median age: 48 vs. 59 years; p < 0.0001). Among females with stroke, the prevalence of e-cigarette use was higher in comparison with traditional smoking (36.36% vs. 33.91%; p < 0.0001). Among the stroke population, the prevalence of e-cigarette use was higher among Mexican-Americans (21.21% vs. 6.02%) and other Hispanics (24.24% vs. 7.70%) compared with traditional smoking (p < 0.0001). The regression analysis found higher odds of stroke history among e-cigarette users than traditional smokers [aOR: 1.15; 95% CI: 1.15–1.16)]. Conclusion: Though stroke was more prevalent in traditional smokers, the incidence of stroke was early-in-onset and was strongly associated with e-cigarette use compared to traditional smokers. We have also identified vascular effects of e-cigarettes components as possible triggers for the stroke.

Background/objective Nummular headache (NH) is a primary headache disorder characterised by intermittent or continuous scalp pain, affecting a small circumscribed area of the scalp. As there are limited data in the literature on NH, we conducted this review to evaluate demographic characteristics and factors associated with complete resolution of the headache, and effectiveness of treatment options. Methods We performed a systematic review of cases reported through PubMed database, using Preferred Reporting Items for Systematic Reviews and Meta-Analyses protocol and ‘nummular headache’, ‘coin-shaped headache’ and ‘coin-shaped cephalalgia’ keywords. Analysis was performed by using χ2 test and Wilcoxon rank-sum test. For individual interventions, the response rate (RR%) of the treatment was calculated. Results We analysed a total of 110 NH cases, with median age 47 years and age of pain onset 42 years. Median duration to make correct diagnosis was 18 months after first attack. The median intensity of each attack was 5/10 on verbal rating scale over 4 cm diameter with duration of attack <30 min. Patients with NH had median three attacks per day with frequency of 9.5 days per month. 40 (57.97%) patients had complete resolution of the headache after treatment. Patients with complete resolution were younger, more likely to be female, and were more likely to have diagnosis within year. Patients with complete resolution more likely to have received treatment with onabotulinum toxin A (botulinum toxin type A (BoNT-A)), and gabapentin compared with patients without complete resolution. Most effective interventions were gabapentin (n=34; RR=67.7%), non-steroidal anti-inflammatory drugs (NSAIDs) (n=32; RR=65.6%), BoNT-A (n=12; RR=100%) and tricyclic antidepressant (n=9; RR=44.4%). Conclusion Younger patients, female sex and early diagnosis were associated with complete resolution. NSAIDs, gabapentin and BoNT-A were most commonly used medications, with significant RRs.

Abstract Our study aims to quantitate neuromuscular morbidity from radiotherapy in Hodgkin lymphoma including: (i) frequency and (ii) time of onsets for neurological localizations; (iii) degree of disabilities and (iv) number of clinical visits compared to cardiopulmonary Hodgkin lymphoma-radiation complications. Medical records from Mayo Health systems were retrieved; identifying neuromuscular radiation treated Hodgkin lymphoma-complications from 1 January 1994 to 31 December 2016. Of an estimated 4100 post-radiotherapy Hodgkin lymphoma patients, 4.6% (189) were identified with complications. Mean latency to physician visit for symptoms was 23.7 years (range: 1–50). Most commonly identified complications included: head drop 10% (19) with or without myopathy, myopathy 39% (73), plexopathy 29% (54), myelopathy 27% (51) and polyradiculopathy 13% (24). Other findings included benign and malignant nerve sheath tumours 5% (9), phrenic and long thoracic mononeuropathies 7% (14) and compressive spinal meningioma 2% (4). Patients frequently had multiple coexisting complications (single = 76% [144], double = 17% [33], triple = 4% [8], quadruple = 2% [4]). Cardiac 28% (53) and pulmonary 15% (29) complications were also seen in these patients. History of Hodgkin lymphoma was initially overlooked by neurologists (14.3%, 48/336 clinical notes). Hospital and outpatient visits for complications were frequent: neuromuscular 19% (77/411) versus cardiopulmonary 30% (125/411). Testing was largely exclusionary, except when imaging identified secondary malignancy. Modified Rankin score at diagnosis varied: 0–1 (55.8%), 2–3 (5.8%) and 4–5 (38.3%). Neuromuscular complications among post-radiation Hodgkin lymphoma are diverse, occurring in ∼1 of 20 having markedly delayed onsets often eluding diagnosis. Frequent care visits and major morbidity are common. Survivorship recommendations should recognize the diverse neurological complications.

Background Pediatric stroke is a debilitating disease. There are several risk factors predisposing children to this life-threatening disease. Although, published literature estimates a relatively high incidence of pediatric stroke, treatment guidelines on intravenous tissue plasminogen activator and endovascular thrombectomy utilization remain a dilemma. There is a lack of large population-based studies and clinical trials evaluating the efficacy and safety outcomes associated with these treatments in this unique population. Aim We sought to determine the prevalence of risk factors, concurrent utilization of intravenous tissue plasminogen activator and endovascular thrombectomy, and associated outcomes in pediatric stroke hospitalizations. Methods We performed a retrospective analysis of the Nationwide Inpatient Sample data (2003–2014) in pediatric (1–21 years of age) acute ischemic stroke hospitalizations using ICD-9-CM codes. The multivariable survey logistic regression model was weighted to account for sampling strategy, evaluate predictors of hemorrhagic conversion, and treatment outcomes (mortality, morbidity, and discharge disposition) amongst pediatric stroke hospitalizations. Results In this analysis, 9109 patients between 1 and 21 years of age were admitted during 2003–2014 for acute ischemic stroke. Of these 9109 patients, 119 (1.30%) received endovascular thrombectomy alone, 256 (2.82%) intravenous recombinant tissue plasminogen activator, and 69 (0.75%) both endovascular thrombectomy and intravenous recombinant tissue plasminogen activator. We found overall high prevalence of conditions like epilepsy (19.59%), atrial septal defect (11.76%), sickle cell disease (8.63%), and moyamoya disease (5.41%) in pediatric acute ischemic stroke patients. Unadjusted analysis showed high prevalence of all-cause in-hospital mortality in combined endovascular thrombectomy and intravenous recombinant tissue plasminogen activator utilization group, and higher prevalence of hemorrhagic conversion and morbidity in endovascular thrombectomy utilization group compared to other groups ( p < 0.0001). Multivariate adjusted analysis showed that children with endovascular thrombectomy utilization (aOR: 19.19; 95% CI: 2.50–147.29, p = 0.005), intravenous recombinant tissue plasminogen activator utilization (aOR: 8.85; 95% CI: 1.92–40.76, p = 0.005), and both (endovascular thrombectomy and intravenous recombinant tissue plasminogen activator) utilization (aOR: 7.55; 95% CI: 1.16–49.31, p = 0.035) had higher odds of hemorrhagic conversion compared to no-treatment group. Conclusion We found various risk factors associated with pediatric stroke. The early identification can be useful to formulate preventive strategies and influence the incidence of pediatric stroke. Our study results showed that use of intravenous recombinant tissue plasminogen activator and endovascular thrombectomy increase risk of mortality and hemorrhagic conversion, but we suggest to have more clinical studies to evaluate the idea candidates for utilization of intravenous recombinant tissue plasminogen activator and endovascular thrombectomy based on risk: benefit ratio.

Background and Purpose— We aimed at providing estimates of mortality associated with cardiometabolic comorbidity and incident readmission from cardiometabolic as compared with noncardiometabolic conditions after a first transient ischemic attack. Methods— Between 2000 and 2015, patients hospitalized for a first transient ischemic attack were examined for cardiometabolic comorbidities (diabetes mellitus, coronary artery disease, heart failure, and atrial fibrillation), 5-year incident hospitalization, and time to death. Results— Of 251 patients with transient ischemic attack, 134 (53%) had at least 1 and 55 (22%) had at least 2 cardiometabolic conditions. By 5 years, 491 readmissions (134 [27%] cardiometabolic and 357 [73%] noncardiometabolic) and 75 deaths (27 [36%] cardiometabolic and 47 [64%] noncardiometabolic) were observed. Mortality was increased with any concurrent cardiometabolic comorbidity (hazard ratio, 1.89; 95% confidence interval, 1.17–3.03; P =0.0089) with multiplicative mortality risk from a combination of coronary artery disease and heart failure. Each hospitalization was associated with a 1.5-fold risk of death (95% confidence interval, 1.37–1.64; P <0.0001). Risk of cardiometabolic and noncardiometabolic mortality was correlated with the corresponding category-specific readmission. Conclusions— Among patients hospitalized for first transient ischemic attack, 5-year mortality is associated with concurrent cardiometabolic comorbidity and rates of subsequent hospitalization.

AbstractBackgroundThe implications of early readmission on long‐term mortality after transient ischemic attack (TIA) are not known. We aimed at examining the effect of 180‐day readmission on subsequent long‐term mortality after index hospitalization for TIA.MethodsA retrospective study of patients hospitalized for first‐ever TIA at Mayo Clinic from 2000 through 2017. Patients readmitted within 180 days postdischarge were compared with those not readmitted in long‐term risk of death.ResultsOf 251 TIA patients aged 73 ± 15 years with 1509 person‐years of follow‐up, 65 (26%) were readmitted within 180 days of discharge and 125 died during a median follow‐up of 5.7 years. The mortality was 10 vs. 7 deaths per 100 person‐years in patients who were readmitted compared to those who were not readmitted with hazard ratio (HR) 1.73 (95% confidence interval [CI] 1.13–2.66). Other competing predictors of mortality were age ≥65 years (HR 5.70, 95% CI 2.72–11.96), cancer (HR 1.65, 95% CI 1.03–3.38), chronic obstructive pulmonary disease (HR 1.90, 95% CI 1.07–3.38), heart failure (HR 3.03, 95% CI 1.82–5.06), dementia (HR 5.87, 95% CI 3.27–10.52), creatinine ≥1.4 mg/dl (HR 1.89, 95% CI 1.17–3.06), and hemoglobin level <10 g/dl (HR 2.80, 95% CI 1.20–6.66).ConclusionsHospital readmission within 180 days of discharge from index TIA was associated with increased risk of death several years after initial readmission. Older age and several comorbidities identified during index hospitalization also confer increased risk for long‐term mortality.