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      Epidemiology and Outcome of Out-of-Hospital Cardiac Arrests during the COVID-19 Pandemic in South Korea: A Systematic Review and Meta-Analyses

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          Abstract

          Purpose

          To evaluate the effect of coronavirus disease 2019 (COVID-19) on out-of-hospital cardiac arrest (OHCA) outcomes in South Korea, we conducted systematic review and meta-analysis.

          Materials and Methods

          MEDLINE, Embase, KoreaMed, and Korean Information Service System databases were searched up to June 2022. We included observational studies and letters on OHCA during the COVID-19 pandemic and compared them to those before the pandemic. Epidemiologic characteristics, including at-home OHCA, bystander cardiopulmonary resuscitation, unwitnessed arrest, use of an automated external defibrillator (AED), shockable cardiac rhythm, and airway management, were evaluated. Survival and favorable neurological outcomes were extracted. We conducted a meta-analysis of each characteristic and outcome.

          Results

          Six studies including 4628 OHCA patients were included in this study. The incidence of at-home OHCA significantly increased and the AED use decreased during the COVID-19 pandemic compared to before the pandemic [odds ratio (OR), 1.29; 95% confidence interval (CI), 1.08–1.55; I 2=0% and OR, 0.74; 95% CI, 0.57–0.97; I 2=0%, respectively]. Return of spontaneous circulation after OHCA, survival, and favorable neurological outcomes during and before the pandemic did not differ significantly (OR, 0.90; 95% CI, 0.71–1.13; I 2=37%; OR, 0.74; 95% CI, 0.43–1.26; I 2=72%; OR, 0.77; 95% CI, 0.43–1.37; I 2=70%, respectively).

          Conclusion

          During the COVID-19 pandemic in South Korea, the incidence of at-home OHCA increased and AED use decreased among OHCA patients. However, survival and favorable neurological outcomes did not significantly differ from before the pandemic. This insignificant effect of the pandemic on OHCA in South Korea could be attributed to the slow increase in patient count in the early days of the pandemic.

          OSF Registry (DOI: 10.17605/OSF.IO/UGE9D).

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          Most cited references30

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          The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration

          Systematic reviews and meta-analyses are essential to summarise evidence relating to efficacy and safety of healthcare interventions accurately and reliably. The clarity and transparency of these reports, however, are not optimal. Poor reporting of systematic reviews diminishes their value to clinicians, policy makers, and other users. Since the development of the QUOROM (quality of reporting of meta-analysis) statement—a reporting guideline published in 1999—there have been several conceptual, methodological, and practical advances regarding the conduct and reporting of systematic reviews and meta-analyses. Also, reviews of published systematic reviews have found that key information about these studies is often poorly reported. Realising these issues, an international group that included experienced authors and methodologists developed PRISMA (preferred reporting items for systematic reviews and meta-analyses) as an evolution of the original QUOROM guideline for systematic reviews and meta-analyses of evaluations of health care interventions. The PRISMA statement consists of a 27-item checklist and a four-phase flow diagram. The checklist includes items deemed essential for transparent reporting of a systematic review. In this explanation and elaboration document, we explain the meaning and rationale for each checklist item. For each item, we include an example of good reporting and, where possible, references to relevant empirical studies and methodological literature. The PRISMA statement, this document, and the associated website (www.prisma-statement.org/) should be helpful resources to improve reporting of systematic reviews and meta-analyses.
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            Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group.

            Because of the pressure for timely, informed decisions in public health and clinical practice and the explosion of information in the scientific literature, research results must be synthesized. Meta-analyses are increasingly used to address this problem, and they often evaluate observational studies. A workshop was held in Atlanta, Ga, in April 1997, to examine the reporting of meta-analyses of observational studies and to make recommendations to aid authors, reviewers, editors, and readers. Twenty-seven participants were selected by a steering committee, based on expertise in clinical practice, trials, statistics, epidemiology, social sciences, and biomedical editing. Deliberations of the workshop were open to other interested scientists. Funding for this activity was provided by the Centers for Disease Control and Prevention. We conducted a systematic review of the published literature on the conduct and reporting of meta-analyses in observational studies using MEDLINE, Educational Research Information Center (ERIC), PsycLIT, and the Current Index to Statistics. We also examined reference lists of the 32 studies retrieved and contacted experts in the field. Participants were assigned to small-group discussions on the subjects of bias, searching and abstracting, heterogeneity, study categorization, and statistical methods. From the material presented at the workshop, the authors developed a checklist summarizing recommendations for reporting meta-analyses of observational studies. The checklist and supporting evidence were circulated to all conference attendees and additional experts. All suggestions for revisions were addressed. The proposed checklist contains specifications for reporting of meta-analyses of observational studies in epidemiology, including background, search strategy, methods, results, discussion, and conclusion. Use of the checklist should improve the usefulness of meta-analyses for authors, reviewers, editors, readers, and decision makers. An evaluation plan is suggested and research areas are explored.
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              D‐dimer levels on admission to predict in‐hospital mortality in patients with Covid‐19

              Abstract Background The outbreak of the coronavirus disease 2019 (Covid‐19) shows a global spreading trend. Early and effective predictors of clinical outcomes is urgent needed to improve management of Covid‐19 patients. Objective The aim of the present study was to evaluate whether elevated D‐dimer levels could predict mortality in patients with Covid‐19. Methods Patients with laboratory confirmed Covid‐19 were retrospective enrolled in Wuhan Asia General Hospital from January 12, 2020 to March 15, 2020. D‐dimer levels on admission, and death events were collected to calculate the optimum cutoff using receiver operating characteristic curve. According to the cutoff, the subjects were divided into two groups. Then the in‐hospital mortality between two groups were compared to assess the predictive value of D‐dimer level. Results A total of 343 eligible patients were enrolled in the study. The optimum cutoff value of D‐dimer to predict in‐hospital mortality was 2.0 µg/ml with a sensitivity of 92.3% and a specificity of 83.3%. There were 67 patients with D‐dimer≥2.0 µg/ml, and 267 patients with D‐dimer <2.0 µg/ml on admission. 13 deaths occurred during hospitalization. Patients with D‐dimer levels≥2.0 µg/ml had a higher incidence of mortality when comparing to those who with D‐dimer levels < 2.0 µg/ml (12/67 vs 1/267, P<0.001, HR:51.5, 95%CI:12.9‐206.7). Conclusions D‐dimer on admission greater than 2.0µg/mL (fourfold increase) could effectively predict in‐hospital mortality in patients with Covid‐19, which indicated D‐dimer could be an early and helpful marker to improve management of Covid‐19 patients.
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                Author and article information

                Journal
                Yonsei Med J
                Yonsei Med J
                YMJ
                Yonsei Medical Journal
                Yonsei University College of Medicine
                0513-5796
                1976-2437
                December 2022
                15 November 2022
                : 63
                : 12
                : 1121-1129
                Affiliations
                Department of Emergency Medicine, College of Medicine, Chung-Ang University, Seoul, Korea.
                Author notes
                Corresponding author: Chiwon Ahn, MD, PhD, Department of Emergency Medicine, College of Medicine, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Korea. cahn@ 123456cau.ac.kr
                Author information
                https://orcid.org/0000-0003-2350-938X
                https://orcid.org/0000-0002-1813-1098
                https://orcid.org/0000-0001-8541-0786
                Article
                10.3349/ymj.2022.0339
                9760885
                36444548
                27ce263b-e1be-4e95-a611-9dd221bc5227
                © Copyright: Yonsei University College of Medicine 2022

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( https://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 08 August 2022
                : 04 October 2022
                : 14 October 2022
                Funding
                Funded by: Korean Association of Cardiopulmonary Resuscitation;
                Award ID: 2022-006
                Categories
                Original Article
                Emergency Medicine

                Medicine
                out-of-hospital cardiac arrest,covid-19,survival,south korea
                Medicine
                out-of-hospital cardiac arrest, covid-19, survival, south korea

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