Coronary artery disease (CAD) is the leading cause of death worldwide. Patients with pre-existing CAD were shown to have a more severe course of COVID-19, but this association has not been clarified. We performed a meta-analysis to determine the association between CAD and COVID-19 outcomes. We searched Scopus, Medline (PubMed), Web of Science, Embase, and Cochrane databases up to November 2nd, 2021. There were 62 studies with a total population of 49,286 patients included in the meta-analysis. CAD occurrence in survivor vs. non-survivor groups varied and amounted to 9.2% vs. 22.9%, respectively (OR = 0.33; 95%CI: 0.29 to 0.39; I2 = 70%; p < 0.001). CAD was also associated with increased severity of COVID-19 disease and was (10.8% vs. 5.6%, respectively, for severe vs. non-severe groups (OR = 2.28; 95%CI: 1.59 to 3.27; I2 = 72%; p < 0.001). The role of history of CAD in mortality and severe condition in COVID-19 presents itself as prominent—although a risk of bias in retrospective trials needs to be assessed, in case of our meta-analysis the statistically significant results when it comes to higher mortality among patients with CAD compared to non-CAD patients, a more severe condition observed in patients with CAD, and a visibly more frequent admission to intensive care unit in patients with CAD, it seems that an incidence of cardiovascular events plays a role in COVID-19 prognosis.

Acute Ischemic Stroke (AIS) can be successfully handled if it is noticed early in the prehospital setting and immediately diagnosed in the emergency department (ED). The coronavirus pandemic has altered the way health care is delivered and has had a profound impact on healthcare delivery. The effects could include prioritizing the prevention of COVID-19 spread, which could result in the discontinuation or deferral of non-COVID-19 care. We used the National Emergency Medical Service Command Support System, a register of medical interventions performed by emergency medical services (EMS) in Poland, to assess the impact of the COVID-19 epidemic across the Masovian Voivodeship on suspected stroke patients’ baseline characteristics, prehospital vital parameters, clinical and neurological status, emergency procedures performed on the prehospital phase and EMS processing times. Between 1 April 2019 and 30 April 2021, the study population included 18,922 adult suspected stroke patients who were treated by EMS teams, with 18,641 admitted to the emergency departments. The overall number of suspected stroke patients treated by EMS remained unchanged during COVID-19 compared to the pre-COVID-19 period; however, the average time from call to hospital admission increased by 15 min.

BACKGROUND:Stroke is a leading cause of disability and death in both developed and developing countries. While hemorrhagic stroke often necessitates immediate neurosurgical intervention, ischemic stroke is treated with reperfusion therapies such as thrombolysis with intravenous recombinant tissue plasminogen activator (IV rtPA) and early endovascular thrombectomy for broad vessel occlusions. OBJECTIVES:Early diagnoses, accurate emergency medical services (EMS) dispatch, rapid EMS transfer, and stroke team activation have helped reduce door-to-IV tPA time and continue to be critical in saving time for stroke patients' treatment. MATERIAL AND METHODS:One reason for prehospital delays may be incorrect qualification by emergency team members due to incomplete medical records and incorrect evaluation of symptoms by dispatchers or paramedics. The dispatcher's precise identification of the report helps them decide on the patient's priority disposal of the ambulance. In comparison, a correct initial diagnosis by paramedics allows the patient to be transported immediately to the destination hospital, i.e., the unit with a stroke unit. Extending the time it takes for the patient to enter the stroke facility due to the patient being moved through stages reduces the probability of successful treatment being introduced significantly. RESULTS:We hypothesized that paramedics' knowledge of prehospital stroke management protocols would be linked to their clinical experience as well as their stroke preparation. CONCLUSION:A secondary goal of this study was to evaluate and compare the theoretical knowledge on stroke management among paramedics and identify factors associated with high knowledge. 468 EMS providers agreed to complete a questionnaire that included demographic questions, practical experience questions, and 14 theoretical information questions. Our research found that paramedics in Poland have significant awareness gaps in existing stroke treatment guidelines.

Background Stroke is the second main cause of mortality and the third leading cause of mortality and permanent disability combined. Many potential biomarkers have been described to contribute to the diagnosis, prognosis of outcomes, and risk stratification after stroke. Copeptin is an inactive peptide that is produced in an equimolar ratio to arginine vasopressin in response to the activation of the endogenous stress system. Methods The present study is a systematic review and meta-analysis to assess plasma copeptin concentrations, diagnostic and prognostic values for risk stratification after acute ischemic stroke and transient ischemic attack. Results Mean copeptin level in stroke vs. non-stroke groups varied and amounted to 19.8 ± 17.4 vs. 9.7 ± 6.6 pmol/L, respectively (mean differences [MD]: 12.75; 95% confidence interval [CI]: 5.00 to 20.49; p < 0.001), in good vs. poor outcome 12.0 ± 3.6 vs. 29.4 ± 14.5 (MD: −8.13; 95% CI: −8.37 to −7.88; p < 0.001) and in survive vs. non-survive stroke patients: 13.4 ± 3.2 vs. 33.0 ± 12.3, respectively (MD: −13.43; 95% CI: −17.82 to −9.05; p < 0.001). Conclusions The above systematic review and meta-analysis suggests that monitoring the copeptin levels may help predict the long-term prognosis of ischemic stroke efficiently. Determining the copeptin level may help individualize the management of ischemic stroke patients, keep stroke risk lower, reduce post-stroke complications, including patient death, and minimize healthcare costs.

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