Seasonal and Monthly variation in stroke and its subtypes-10 Year Hospital-Based Study

Seasonal and monthly stroke incidence in relation to weather variables: a preliminary single-centre epidemiologic study

This single-centre epidemiologic study investigated seasonal/monthly stroke incidence and stroke-related mortality in relation to weather variables, gender, age, as well as stroke subtype and stroke aetiology. The study involved 638 patients hospitalised due to stroke at the Neurology Ward with a stroke unit at the Regional Hospital in Poland, during one complete calendar year. The data collected included the date of admission to the ward, year of birth, sex, type and subtype of stroke relative to the aetiology and location within different arteries as well as mortality. The data related to wind speed, atmospheric pressure, and temperature were acquired from the archive at the weather station in Tarnów, Poland. Majority of the patients in the study group were aged 66-85 years (57.2%), and there were more women than men. Ischaemic stroke was significantly more common than haemorrhagic stroke (87 vs 13%). Large artery atherosclerosis was the predominant cause of stroke, particularly in June and October, and total anterior circulation stroke (TACS) was the most common type, particularly in January and December. The analysis showed that stroke type and aetiology, as well as weather variables such as temperature and pressure, were associated with stroke incidence and mortality rates. The findings suggest that both high and low temperatures may contribute to an increased stroke incidence, as significant differences in the number of stroke cases are observed during periods of extreme temperatures. Therefore, increased vigilance is necessary during periods of both hot and cold weather. Further research is needed to better understand these relationships and develop effective prevention strategies.

Racial and ethnic disparities in the usage and outcomes of ischemic stroke treatment in the United States

OBJECTIVES

This study explores racial and ethnic differences in 1) receiving tissue plasminogen activator (tPA) and endovascular thrombectomy (EVT) as treatment for ischemic stroke and 2) outcomes and quality of care after use of tPA or EVT in the US.

MATERIALS AND METHODS

An observational analysis of 89,035 ischemic stroke patients from the 2019 National Inpatient Sample was conducted. We performed weighted logistic regressions between race and ethnicity and 1) tPA and EVT utilization and 2) in-hospital mortality. We also performed a weighted Poisson regression between race and ethnicity and length of stay (LOS) after tPA or EVT.

RESULTS

Non-Hispanic (NH) Black patients had significantly lower odds of receiving tPA (Adjusted odds ratio [AOR] = 0.85, 95 % Confidence Internal [C.I.]: 0.80-0.91) and EVT (AOR = 0.75, 95 % CI: 0.70-0.82) than NH White patients. Minority populations (including but not limited to NH Black, Hispanic, Pacific Islander, Native American, and Asian) had significantly longer hospital LOS after treatment with tPA or EVT. We did not find a significant difference between race/ethnicity and in-hospital mortality post-tPA or EVT.

CONCLUSIONS

While we failed to find a difference in in-hospital mortality, racial and ethnic disparities are still evident in the decreased usage of tPA and EVT and longer LOSs for racial and ethnic minority patients. This study calls for interventions to expand the utilization of tPA and EVT and advance quality of care post-tPA or EVT in order to improve stroke care for minority patients.

"Incidence, characteristics and prognosis of cervical artery dissection-induced ischemic stroke in central Iran"

OBJECTIVES

Ischemic stroke is the most common presentation of cervical artery dissection (CAD). Information regarding CAD-induced stroke is scarce, especially in the Middle East. Here we investigated the incidence of CAD-induced stroke, its characteristics, and the clinical course in central Iran.

METHODS

This is an observational study conducted in the city of Isfahan, Iran. We recruited patients with ischemic stroke during 2017-2019. We analyzed characteristics of the CAD-induced stroke patients with regards to the involved vessel (internal carotid artery dissection (ICAD) or vertebral artery dissection (VAD)). We assessed functional outcome (modified Rankin Scale [mRS]) and recanalization status after 1 year of follow-up.

RESULTS

Among 3630 ischemic stroke patients, 51(1.4%) had CAD-induced stroke (mean age: 41.8 ± 12.6; 40.4% female; 28 and 19 ICAD and VAD cases, respectively). The crude incidence rate of CAD-induced stroke was 1.20/100,000/year (0.66/100,000/year and 0.45/100,000/year for strokes due to ICAD and VAD, respectively). mRS ≤ 2 was present in 63.8% of the patients after 1 year of follow-up. History of exercise during the last days before stroke occurrence was associated with a better follow-up mRS (β = -3.1, p-value: 0.037). Administration of anticoagulant or double-antiplatelets was related neither to mRS nor recanalization results. Trauma (27.7%), smoking (21.3%), and headache disorders/migraine (21.3%) were the most common reported factors.

CONCLUSION

We found a crude incidence rate of 1.20/100,000/year for CAD-induced stroke. Trauma, smoking, and headache disorders were the most common reported factors among our patients. CAD-induced stroke had a favorable long-term prognosis regardless of the type of the involved vessel or the used medication.

Weekend Effect on in-Hospital Mortality for Ischemic and Hemorrhagic Stroke in US Rural and Urban Hospitals

INTRODUCTION

Previous studies have reported a "weekend effect" on stroke mortality, whereby stroke patients admitted during weekends have a higher risk of in-hospital death than those admitted during weekdays.

AIMS

We aimed to investigate whether patients with different types of stroke admitted during weekends have a higher risk of in-hospital mortality in rural and urban hospitals in the US.

METHODS

We used data from the 2016 National Inpatient Sample and used logistic regression to assess in-hospital mortality for weekday and weekend admissions among stroke patients aged 18 and older by stroke type (ischemic or hemorrhagic) and rural or urban status.

RESULTS

Crude stroke mortality was higher in weekend admissions (p <0.001). After adjusting for confounding variables, in-hospital mortality among hemorrhagic stroke patients was significantly greater (22.0%) for weekend admissions compared to weekday admissions (20.2%, p = 0.009). Among rural hospitals, the in-hospital mortality among hemorrhagic stroke patients was also greater among weekend admissions (36.9%) compared to weekday admissions (25.7%, p = 0.040). Among urban hospitals, the mortality of hemorrhagic stroke patients was 21.1% for weekend and 19.6% for weekday admissions (p = 0.026). No weekend effect was found among ischemic stroke patients admitted to rural or urban hospitals.

CONCLUSIONS

Our results help to understand mortality differences in hemorrhagic stroke for weekend vs. weekday admissions in urban and rural hospitals. Factors such as density of care providers, stroke centers, and patient level risky behaviors associated with the weekend effect on hemorrhagic stroke mortality need further investigation to improve stroke care services and reduce weekend effect on hemorrhagic stroke mortality.

Seasonal variation in the occurrence of ischemic stroke: A meta-analysis

Stroke was demonstrated to correlate with seasonal variation. However, the relevant studies were incongruous. To better understand the rules of seasonal impact on ischemic stroke (IS) patients, we performed this meta-analysis. We systematically searched relevant observational studies in Pubmed, Web of science and Embase from January 1, 1980, to November 1, 2017, in English. Patients included in this study were adults who suffered from IS. Stata version 12.0 software was used to pool useful data and calculate incidence rate ratios (IRRs) and their 95% confidence intervals (CIs). We also performed heterogeneity and sensitivity analyses and evaluated publication bias. Thirty-three observational studies involving 234,196 participants were incorporated into the meta-analysis. Summer and December were regarded as reference, respectively. The IRRs were calculated showing: IRR_Winter 1.05 (95% CI 1.04-1.07), IRR_Autumn 1.03 (95% CI 1.02-1.04), IRR_Spring 1.02 (95% CI 1.01-1.03). No obvious difference existed among 12 months. Stratified analyses on Köppen classification were also conducted. Between-study heterogeneity was discovered; however, predefined stratified analyses and meta-regression could not reduce this heterogeneity. Our meta-analysis has revealed very little seasonal variation in the overall study. Both cold and hot months may be high risky for IS after stratified by Köppen Climate Classification. Thus, a rationale to environmental setting of risky patient management could be provided. More studies with specific assessments are warranted for further comprehensive investigation.

Chronic lifestyle diseases display seasonal sensitive comorbid trend in human population evidence from Google Trends

Seasonal and human physiological changes are important factors in the development of many diseases. But, the study of genuine seasonal impact on these diseases is difficult to measure due to many other environment and lifestyle factors which directly affect these diseases. However, several clinical studies have been conducted in different parts of the world, and it has clearly indicated that certain groups of population are highly subjected to seasonal changes, and their maladaptation can possibly lead to several disorders/diseases. Thus, it is crucial to study the significant seasonal sensitive diseases spread across the human population. To narrow down these disorders/diseases, the study hypothesized that high altitude (HA) associated diseases and disorders are of the strong variants of seasonal physiologic changes. It is because, HA is the only geographical condition for which humans can develop very efficient physiological adaptation mechanism called acclimatization. To study this hypothesis, PubMed was used to collect the HA associated symptoms and disorders. Disease Ontology based semantic similarity network (DSN) and disease-drug networks were constructed to narrow down the benchmark diseases and disorders of HA. The DSN which was further subjected to different community structure analysis uncovered the highly associated or possible comorbid diseases of HA. The predicted 12 lifestyle diseases were assumed to be “seasonal (sensitive) comorbid lifestyle diseases (SCLD)”. A time series analyses on Google Search data of the world from 2004–2016 was conducted to investigate whether the 12 lifestyle diseases have seasonal patterns. Because, the trends were sensitive to the term used as benchmark; the temporal relationships among the 12 disease search volumes and their temporal sequences similarity by dynamic time warping analyses was used to predict the comorbid diseases. Among the 12 lifestyle diseases, the study provides an indirect evidence in the existence of severe seasonal comorbidity among hypertension, obesity, asthma and fibrosis diseases, which is widespread in the world population. Thus, the present study has successfully addressed this issue by predicting the SCLD, and indirectly verified them among the world population using Google Search Trend. Furthermore, based on the SCLD seasonal trend, the study also classified them as severe, moderate, and mild. Interestingly, seasonal trends of the severe seasonal comorbid diseases displayed an inverse pattern between USA (Northern hemisphere) and New Zealand (Southern hemisphere). Further, knowledge in the so called “seasonal sensitive populations” physiological response to seasonal triggers such as winter, summer, spring, and autumn become crucial to modulate disease incidence, disease course, or clinical prevention.