| Literature DB >> 33130157 |
Tommaso Scquizzato1, Giovanni Landoni2, Andrea Paoli3, Rosalba Lembo4, Evgeny Fominskiy4, Artem Kuzovlev5, Valery Likhvantsev6, Alberto Zangrillo1.
Abstract
INTRODUCTION: In addition to the directly attributed mortality, COVID-19 is also likely to increase mortality indirectly. In this systematic review, we investigate the direct and indirect effects of COVID-19 on out-of-hospital cardiac arrests.Entities:
Keywords: COVID-19; Cardiopulmonary resuscitation; Out-of-hospital cardiac arrest
Year: 2020 PMID: 33130157 PMCID: PMC7598542 DOI: 10.1016/j.resuscitation.2020.10.020
Source DB: PubMed Journal: Resuscitation ISSN: 0300-9572 Impact factor: 5.262
Fig. 1Selection of included studies.
Characteristics of studies included ordered by first author.
| Study | Geographical area of study | OHCA patients included | COVID-19 pandemic (1) and non-pandemic (2) period | COVID-19 cases | COVID-19 prevalence among OHCAs |
|---|---|---|---|---|---|
| Baldi et al., 2020 | Lombardy (provinces of Lodi, Cremona, Pavia, and Mantua), Italy | All cases | (1) Feb. 21 – April 20, 2020 | 14,785 | 26% with symptoms |
| Cho et al., 2020 | Daegu, South Korea | EMS-treated adults of presumed medical aetiology | (1) Feb. 17 – March 31, 2020 | 6719 | 17.5% with symptoms |
| Lai et al., 2020 | New York City, USA | EMS-treated, adults (≥18 years) cases | (1) March 1 – April 25, 2020 | 159,851 | n/a |
| Marijon et al., 2020 | Paris and its suburbs, France | Non-traumatic, adults (≥18 years) cases | (1) March 16 – April 26, 2020 | 7587 | 8.1% with symptoms |
| Paoli et al., 2020 | Province of Padua, Italy | All cases | (1) March 1 – April 30, 2020 | 3851 | n/a |
| Sayre et al., 2020 | Seattle and King County, USA | All cases | (1) Feb. 26 – April 15, 2020 | 4873 | 4.8% with symptoms |
Abbreviations: OHCA = out-of-hospital cardiac arrest, EMS = emergency medical services.
Fever associated with cough or dyspnoea.
During the study period.
Fig. 2Forest plot for return of spontaneous circulation (A) and survival to hospital discharge (B). M–H = Mantel–Haenszel, CI = confidence interval.
Fig. 3Forest plot for rates of bystander-witnessed out-of-hospital cardiac arrests (A) and bystander-initiated cardiopulmonary resuscitation (B) with subgroup analysis by continent. M–H = Mantel–Haenszel, CI = confidence interval.
Fig. 4Forest plot of the response times of emergency medical services (A) and proportion of patients with out-of-hospital cardiac arrest where resuscitation was attempted by emergency medical services (B). SD = standard deviation, IV = inverse variance, M–H = Mantel–Haenszel, CI = confidence interval.