scholarly journals Acute Stroke in Times of the COVID-19 Pandemic

Stroke ◽  
2020 ◽  
Vol 51 (7) ◽  
pp. 2224-2227 ◽  
Author(s):  
Carolin Hoyer ◽  
Anne Ebert ◽  
Hagen B. Huttner ◽  
Volker Puetz ◽  
Bernd Kallmünzer ◽  
...  

Background and Purpose: This study aims to assess the number of patients with acute ischemic cerebrovascular events seeking in-patient medical emergency care since the implementation of social distancing measures in the coronavirus disease 2019 (COVID-19) pandemic. Methods: In this retrospective multicenter study, data on the number of hospital admissions due to acute ischemic stroke or transient ischemic attack and numbers of reperfusion therapies performed in weeks 1 to 15 of 2020 and 2019 were collected in 4 German academic stroke centers. Poisson regression was used to test for a change in admission rates before and after the implementation of extensive social distancing measures in week 12 of 2020. The analysis of anonymized regional mobility data allowed for correlations between changes in public mobility as measured by the number and length of trips taken and hospital admission for stroke/transient ischemic attack. Results: Only little variation of admission rates was observed before and after week 11 in 2019 and between the weeks 1 and 11 of 2019 and 2020. However, reflecting the impact of the COVID-19 pandemic, a significant decrease in the number of admissions for transient ischemic attack was observed (−85%, −46%, −42%) in 3 of 4 centers, while in 2 of 4 centers, stroke admission rates decreased significantly by 40% and 46% after week 12 in 2020. A relevant effect on reperfusion therapies was found for 1 center only (thrombolysis, −60%; thrombectomy, −61%). Positive correlations between number of ischemic events and mobility measures in the corresponding cities were identified for 3 of 4 centers. Conclusions: These data demonstrate and quantify decreasing hospital admissions due to ischemic cerebrovascular events and suggest that this may be a consequence of social distancing measures, in particular because hospital resources for acute stroke care were not limited during this period. Hence, raising public awareness is necessary to avoid serious healthcare and economic consequences of undiagnosed and untreated strokes and transient ischemic attacks.

2020 ◽  
Author(s):  
Hiroyuki Nagano ◽  
Daisuke Takada ◽  
Jung-ho Shin ◽  
Tetsuji Morishita ◽  
Susumu Kunisawa ◽  
...  

AbstractBackground and PurposeThe epidemic of the coronavirus disease 2019 (COVID-19) has affected health care systems globally. The aim of our study was to assess the impact of the COVID-19 epidemic on hospital admissions for stroke in Japan.MethodsWe analyzed administrative (Diagnosis Procedure Combination) data for cases of inpatients aged 18 years and older who were diagnosed with stroke (ischemic stroke, transient ischemic attack (TIA), hemorrhagic stroke, or subarachnoid hemorrhage (SAH)) and discharged from hospital during the period July 1, 2018 to June 30, 2020. The number of patients with each stroke diagnosis, various patient characteristics, and treatment approaches were compared before and after the epidemic. Changes in the trend of the monthly number of inpatients with each stroke diagnosis were assessed using interrupted time-series analyses.ResultsA total of 111,922 cases (ischemic stroke: 74,897 cases; TIA: 5,374 cases; hemorrhagic stroke: 24,779 cases; SAH: 6,872 cases) in 253 hospitals were included. The number of cases for all types of stroke decreased (ischemic stroke: -13.9%; TIA: -21.4%; hemorrhagic stroke: -9.9%; SAH: -15.2%) in April and May 2020, compared to the number of cases in 2019. Ischemic stroke and TIA cases, especially mild cases (modified Rankin Scale = 0), decreased, with a statistically significant change in trend between the before- and after-epidemic periods.ConclusionsThese data showed a marked reduction in the number of hospital admissions due to stroke during the COVID-19 epidemic. The change in Ischemic stroke and TIA cases, especially mild cases, was statistically significant.


Circulation ◽  
2020 ◽  
Vol 142 (12) ◽  
pp. 1227-1229 ◽  
Author(s):  
Jawad H. Butt ◽  
Emil L. Fosbøl ◽  
Lauge Østergaard ◽  
Adelina Yafasova ◽  
Charlotte Andersson ◽  
...  

Stroke ◽  
2020 ◽  
Vol 51 (8) ◽  
pp. 2315-2321 ◽  
Author(s):  
Henrique Diegoli ◽  
Pedro S.C. Magalhães ◽  
Sheila C.O. Martins ◽  
Carla H.C. Moro ◽  
Paulo H.C. França ◽  
...  

Background and Purpose: Since the onset of the coronavirus disease 2019 (COVID-19) pandemic, doctors and public authorities have demonstrated concern about the reduction in quality of care for other health conditions due to social restrictions and lack of resources. Using a population-based stroke registry, we investigated the impact of the onset of the COVID-19 pandemic in stroke admissions in Joinville, Brazil. Methods: Patients admitted after the onset of COVID-19 restrictions in the city (defined as March 17, 2020) were compared with those admitted in 2019. We analyzed differences between stroke incidence, types, severity, reperfusion therapies, and time from stroke onset to admission. Statistical tests were also performed to compare the 30 days before and after COVID-19 to the same period in 2019. Results: We observed a decrease in total stroke admissions from an average of 12.9/100 000 per month in 2019 to 8.3 after COVID-19 ( P =0.0029). When compared with the same period in 2019, there was a 36.4% reduction in stroke admissions. There was no difference in admissions for severe stroke (National Institutes of Health Stroke Scale score >8), intraparenchymal hemorrhage, and subarachnoid hemorrhage. Conclusions: The onset of COVID-19 was correlated with a reduction in admissions for transient, mild, and moderate strokes. Given the need to prevent the worsening of symptoms and the occurrence of medical complications in these groups, a reorganization of the stroke-care networks is necessary to reduce collateral damage caused by COVID-19.


2021 ◽  
Vol 12 ◽  
Author(s):  
Lucio D'Anna ◽  
Maddison Brown ◽  
Sikdar Oishi ◽  
Natalya Ellis ◽  
Zoe Brown ◽  
...  

Background: The COVID-19 pandemic is having major implications for stroke services worldwide. We aimed to study the impact of the national lockdown period during the COVID-19 outbreak on stroke and transient ischemic attack (TIA) care in London, UK.Methods: We retrospectively analyzed data from a quality improvement registry of consecutive patients presenting with acute ischemic stroke and TIA to the Stroke Department, Imperial College Health Care Trust London during the national lockdown period (between March 23rd and 30th June 2020). As controls, we evaluated the clinical reports and stroke quality metrics of patients presenting with stroke or TIA in the same period of 2019.Results: Between March 23rd and 30th June 2020, we documented a fall in the number of stroke admissions by 31.33% and of TIA outpatient referrals by 24.44% compared to the same period in 2019. During the lockdown, we observed a significant increase in symptom onset-to-door time in patients presenting with stroke (median = 240 vs. 160 min, p = 0.020) and TIA (median = 3 vs. 0 days, p = 0.002) and a significant reduction in the total number of patients thrombolysed [27 (11.49%) vs. 46 (16.25%, p = 0.030)]. Patients in the 2020 cohort presented with a lower median pre-stroke mRS (p = 0.015), but an increased NIHSS (p = 0.002). We registered a marked decrease in mimic diagnoses compared to the same period of 2019. Statistically significant differences were found between the COVID and pre-COVID cohorts in the time from onset to door (median 99 vs. 88 min, p = 0.026) and from onset to needle (median 148 vs. 126 min, p = 0.036) for thrombolysis whilst we did not observe any significant delay to reperfusion therapies (door-to-needle and door-to-groin puncture time).Conclusions: National lockdown in the UK due to the COVID-19 pandemic was associated with a significant decrease in acute stroke admission and TIA evaluations at our stroke center. Moreover, a lower proportion of acute stroke patients in the pandemic cohort benefited from reperfusion therapy. Further research is needed to evaluate the long-term effects of the pandemic on stroke care.


2009 ◽  
Vol 16 (2) ◽  
pp. 153-160 ◽  
Author(s):  
Roberto Manfredini ◽  
Fabio Manfredini ◽  
Benedetta Boari ◽  
Anna Maria Malagoni ◽  
Susanna Gamberini ◽  
...  

Acute cerebrovascular events are not randomly distributed over time but show specific temporal patterns of occurrence. However, most studies focused stroke and little is known about transient ischemic attack. This study aimed to explore the existence of a temporal pattern of transient ischemic attack and the possible influence by the most common risk factors. The analysis included all hospital admissions with the ICD9-CM code for TIA, recorded in the database of the Emilia Romagna region of Italy (1998-2006; n = 43642, mean age 76.8 ± 11.5 years, 45.5% males). Transient ischemic attack was most frequent in autumn and winter and less common in spring and summer (P < 0.0001), with the highest number of cases in October and the lowest in February, and also most frequent on Monday (P < 0.0001). This study shows a seasonal and weekly pattern in occurrence of transient ischemic attack, independent of sex and the presence of the most common risk factors.


2013 ◽  
Vol 31 (31_suppl) ◽  
pp. 197-197
Author(s):  
Swanee Tobin ◽  
Joyce Fenuta ◽  
Julie Kruchowski ◽  
Lisa K. Hicks

197 Background: St. Michael’s Hospital (SMH) is an academic, inner-city hospital in Toronto, Canada. In the hematology/oncology (hem/onc) program, a small number of patients appeared to contribute disproportionately to hospital admissions and emergency department (ED) visits. We hypothesized that high needs hem/onc patients could be recognized early in their care and that ED visit and admission rates among these patients could be decreased through targeted interventions. Methods: Members of the hem/onc team were interviewed regarding characteristics, which they felt predicted higher needs and greater liklihood for hospital admission/ED visit. A list of high risk features was generated. ED visit and admission rates for a prospectively identified high needs cohort were compared to rates for the entire hem/onc clinic. An intervention targeting high needs hem/onc patients is on-going. Pre and post-intervention ED visit and admission rates will be compared. Results: Interviews with 3 nurses, 1 social worker, 1 discharge planner, and 4 physicians identified 10 factors that the hem/onc team believed were predictive of higher needs and subsequent higher ED visit and admission rates. Between December 1, 2012, and February 28, 2013, 42 high needs hem/onc out-patients were prospectively identified. The ED visit and admission rates for this cohort were retrospectively compared to those of the entire hem/onc clinic and found to be dramatically higher (Table). Begininng in June 2013, hem/onc patients identified as “high needs” were offered enrollment in a NP-based program offering telephone assessments following ED visits, hospital admissions or discharges. Assessment of the impact of this intervention is ongoing. Conclusions: It is possible to prospectively identify hem/onc patients who are at risk of higher than usual ED visit and admission rates. Identifying this population may provide an opportunity to decrease their ED visit and admission rates. An evaluation of an intervention targeting high needs hem/onc patients is ongoing. Preliminary data will be presented. [Table: see text]


Author(s):  
Jodi D. Edwards ◽  
Mieke Koehoorn ◽  
Lara A. Boyd ◽  
Boris Sobolev ◽  
Adrian R. Levy

AbstractBackground:Hospitalization data underestimate the occurrence of transient ischemic attack (TIA). As TIA is frequently diagnosed in primary care, methodologies for the accurate ascertainment of a TIA from physician claims data are required for surveillance and health systems planning in this population. The present study evaluated the diagnostic accuracy of multiple algorithms for TIA from a longitudinal population-based physician billing database.Methods:Population-based administrative data from the province of British Columbia were used to identify the base population (1992–2007;N=102,492). Using discharge records for hospital admissions for acute ischemic stroke with a recent (<90 days) TIA as the reference standard, we performed receiver-operating characteristic analyses to calculate sensitivity, specificity, positive and negative predictive values and overall accuracy, and to compare area under the curve for each physician billing algorithm. To evaluate the impact of different case definitions on population-based TIA burden, we also estimated the annual TIA occurrence associated with each algorithm.Results:Physician billing algorithms showed low to moderate sensitivity, with the algorithm for two consecutive physician visits within 90 days showing the highest sensitivity at 37.7% (CI95%=37.4–38.1). All algorithms demonstrated high specificity and moderate to high overall accuracy, resulting in low positive predictive values (≤5%), low discriminability (0.53–0.57) and high false positive rates (1 – specificity). Population-based estimates of TIA occurrence were comparable to prior studies and declined over time.Conclusions:Physician billing data have insufficient sensitivity to identify TIAs but may be used in combination with hospital discharge data to improve the accuracy of estimating the population-based occurrence of TIAs.


PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0240385
Author(s):  
A. T. M. Hasibul Hasan ◽  
Subir Chandra Das ◽  
Muhammad Sougatul Islam ◽  
Mohaimen Mansur ◽  
Md. Shajedur Rahman Shawon ◽  
...  

Background With the proposed pathophysiologic mechanism of neurologic injury by SARS CoV-2, the frequency of stroke and henceforth the related hospital admissions were expected to rise. This paper investigated this presumption by comparing the frequency of admissions of stroke cases in Bangladesh before and during the pandemic. Methods This is a retrospective analysis of stroke admissions in a 100-bed stroke unit at the National Institute of Neurosciences and Hospital (NINS&H) which is considerably a large stroke unit. All the admitted cases from 1 January to 30 June 2020 were considered. Poisson regression models were used to determine whether statistically significant changes in admission rates can be found before and after 25 March since when there is a surge in COVID-19 infections. Results A total of 1394 stroke patients took admission in the stroke unit during the study period. Half of the patients were older than 60 years, whereas only 2.6% were 30 years old or younger. The male to female ratio is 1.06:1. From January to March 2020, the mean rate of admission was 302.3 cases per month, which dropped to 162.3 cases per month from April to June, with an overall reduction of 46.3% in acute stroke admission per month. In those two periods, reductions in average admission per month for ischemic stroke (IST), intracerebral hemorrhage (ICH), subarachnoid hemorrhage (SAH) and venous stroke (VS) were 45.5%, 37.2%, 71.4% and 39.0%, respectively. Based on weekly data, results of Poisson regressions confirm that the average number of admissions per week dropped significantly during the last three months of the sample period. Further, in the first three months, a total of 22 cases of hyperacute stroke management were done, whereas, in the last three months, there was an 86.4% reduction in the number of hyperacute stroke patients getting reperfusion treatment. Only 38 patients (2.7%) were later found to be RT-PCR SARS Cov-2 positive based on nasal swab testing. Conclusion This study revealed a more than fifty percent reduction in acute stroke admission during the COVID-19 pandemic. Whether the reduction is related to the fear of getting infected by COVID-19 from hospitalization or the overall restriction on public movement or stay-home measures remains unknown.


2020 ◽  
pp. 1-6
Author(s):  
Paul Park ◽  
Victor Chang ◽  
Hsueh-Han Yeh ◽  
Jason M. Schwalb ◽  
David R. Nerenz ◽  
...  

OBJECTIVEIn 2017, Michigan passed new legislation designed to reduce opioid abuse. This study evaluated the impact of these new restrictive laws on preoperative narcotic use, short-term outcomes, and readmission rates after spinal surgery.METHODSPatient data from 1 year before and 1 year after initiation of the new opioid laws (beginning July 1, 2018) were queried from the Michigan Spine Surgery Improvement Collaborative database. Before and after implementation of the major elements of the new laws, 12,325 and 11,988 patients, respectively, were treated.RESULTSPatients before and after passage of the opioid laws had generally similar demographic and surgical characteristics. Notably, after passage of the opioid laws, the number of patients taking daily narcotics preoperatively decreased from 3783 (48.7%) to 2698 (39.7%; p < 0.0001). Three months postoperatively, there were no differences in minimum clinically important difference (56.0% vs 58.0%, p = 0.1068), numeric rating scale (NRS) score of back pain (3.5 vs 3.4, p = 0.1156), NRS score of leg pain (2.7 vs 2.7, p = 0.3595), satisfaction (84.4% vs 84.7%, p = 0.6852), or 90-day readmission rate (5.8% vs 6.2%, p = 0.3202) between groups. Although there was no difference in readmission rates, pain as a reason for readmission was marginally more common (0.86% vs 1.22%, p = 0.0323).CONCLUSIONSThere was a meaningful decrease in preoperative narcotic use, but notably there was no apparent negative impact on postoperative recovery, patient satisfaction, or short-term outcomes after spinal surgery despite more restrictive opioid prescribing. Although the readmission rate did not significantly increase, pain as a reason for readmission was marginally more frequently observed.


2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Antonio Leon-Justel ◽  
Jose I. Morgado Garcia-Polavieja ◽  
Ana Isabel Alvarez-Rios ◽  
Francisco Jose Caro Fernandez ◽  
Pedro Agustin Pajaro Merino ◽  
...  

Abstract Background Heart failure (HF) is a major and growing medical and economic problem, with high prevalence and incidence rates worldwide. Cardiac Biomarker is emerging as a novel tool for improving management of patients with HF with a reduced left ventricular ejection fraction (HFrEF). Methods This is a before and after interventional study, that assesses the impact of a personalized follow-up procedure for HF on patient’s outcomes and care associated cost, based on a clinical model of risk stratification and personalized management according to that risk. A total of 192 patients were enrolled and studied before the intervention and again after the intervention. The primary objective was the rate of readmissions, due to a HF. Secondary outcome compared the rate of ED visits and quality of life improvement assessed by the number of patients who had reduced NYHA score. A cost-analysis was also performed on these data. Results Admission rates significantly decreased by 19.8% after the intervention (from 30.2 to 10.4), the total hospital admissions were reduced by 32 (from 78 to 46) and the total length of stay was reduced by 7 days (from 15 to 9 days). The rate of ED visits was reduced by 44% (from 64 to 20). Thirty-one percent of patients had an improved functional class score after the intervention, whereas only 7.8% got worse. The overall cost saving associated with the intervention was € 72,769 per patient (from € 201,189 to € 128,420) and €139,717.65 for the whole group over 1 year. Conclusions A personalized follow-up of HF patients led to important outcome benefits and resulted in cost savings, mainly due to the reduction of patient hospitalization readmissions and a significant reduction of care-associated costs, suggesting that greater attention should be given to this high-risk cohort to minimize the risk of hospitalization readmissions.


Sign in / Sign up

Export Citation Format

Share Document