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Real-World Evidence for Resuscitation Science

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601).

Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 6978

Special Issue Editors


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Guest Editor
Department of Emergency and Critical Care Medicine, Toranomon Hospital, Tokyo 105-8470, Japan
Interests: resuscitation science; emergency medicine; critical care medicine; intensive care medicine; public health; health policy; data science

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Guest Editor
Department of Health Services Research, University of Tsukuba, Ibaraki 305-8577, Japan
Interests: emergency medicine; health services research; healthcare information systems; clinical decision support; case report

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Guest Editor
Department of Emergency and Critical Care Medicine, Juntendo University Urayasu Hospital, Chiba 279-0021, Japan
Interests: sepsis; shock; critical care; infection control; trauma
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Guest Editor
Division of Emergency and Critical Care Medicine, Graduate School of Medical and Dental Sciences, Niigata University, Niigata 950-2181, Japan
Interests: emergency medicine; critical care; resuscitation; shock; extracorporeal membrane oxygenation; artificial intelligence

Special Issue Information

Dear Colleagues,

Cardiac arrest is a leading cause of mortality and a global public health issue. Only a small amount of high-quality evidence has been accumulated in the field of resuscitation science, as it is difficult to conduct randomized controlled trials (RCTs) during cardiopulmonary resuscitation for several (e.g., ethical or procedural) reasons. There is no doubt that RCTs are the only way to prove a causal relationship, and thus, they are essential for the development of resuscitation science. However, there remain some concerns about application of the evidence derived from RCTs to the real world. In such a situation, recent remarkable advances in data science (including big data analytics and machine learning) make real-world evidence based on real-world data more and more valuable. 

This Special Issue, “Real-World Evidence for Resuscitation Science”, will deal with all aspects of real-world evidence related to resuscitation science, including clinical effectiveness, epidemiology, statistical method, diagnostic test, health economics, health policy, and social science. Not only original research articles but also review articles are welcome. We would like to invite you to contribute to this unique Special Issue.

Dr. Tatsuma Fukuda
Dr. Ryota Inokuchi
Dr. Yutaka Kondo
Prof. Dr. Kei Nishiyama
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • cardiac arrest
  • cardiopulmonary resuscitation
  • big data
  • machine learning
  • real-world data
  • real-world evidence
  • registry
  • data science
  • artificial intelligence

Published Papers (2 papers)

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Research

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12 pages, 3344 KiB  
Article
Association of Nights and Weekends with Survival of Traumatic Out-of-Hospital Cardiac Arrest following Traffic Collisions: Japanese Registry-Based Study
by Tatsuma Fukuda, Naoko Ohashi-Fukuda, Hiroshi Sekiguchi, Ryota Inokuchi and Ichiro Kukita
Int. J. Environ. Res. Public Health 2021, 18(23), 12769; https://doi.org/10.3390/ijerph182312769 - 3 Dec 2021
Viewed by 1616
Abstract
Background: The process of care for traumatic out-of-hospital cardiac arrest (OHCA) may be different at night and on the weekend. However, little is known about whether the rate of survival after OHCA is affected by the time of day and day of the [...] Read more.
Background: The process of care for traumatic out-of-hospital cardiac arrest (OHCA) may be different at night and on the weekend. However, little is known about whether the rate of survival after OHCA is affected by the time of day and day of the week. Methods: This observational study analyzed the Japanese government-led nationwide population-based registry data of OHCA patients. Patients who experienced traumatic OHCA following traffic collisions from 2013 to 2017 were included in the study. A multivariable logistic regression model was used to examine the association of both time of day (day/evening vs. night) and day of the week (weekday vs. weekend) with outcomes after traumatic OHCA. Night was defined as 23:00 p.m. to 6:59 a.m., and weekends were defined as Saturday and Sunday. The primary outcome was one-month survival. Results: A total of 8500 patients (mean [SD] age, 57.7 [22.3] years; 68.6% male) were included. 2267 events (26.7%) occurred at night, and 2482 events (29.2%) occurred on weekends. Overall, 173 patients (2.0%) survived one month after OHCA. After adjusting for potential confounders, one-month survival during the day/evening (148/6233 [2.4%]) was significantly higher than during the night (25/2267 [1.1%]) (adjusted OR, 1.95 [95%CI, 1.24–3.07]), whereas there was no significant difference in one-month survival between weekdays (121/6018 [2.0%]) and weekends (52/2482 [2.1%]) (adjusted OR, 0.97 [95%CI, 0.69–1.38]). Conclusions: One-month survival after traumatic OHCA was significantly lower during the night than during the day/evening, although there was no difference in one-month survival between weekdays and weekends. Further studies are warranted to investigate the underlying mechanisms of decreased survival at night. Full article
(This article belongs to the Special Issue Real-World Evidence for Resuscitation Science)
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Review

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11 pages, 901 KiB  
Review
Real-World Evidence—Current Developments and Perspectives
by Friedemann Schad and Anja Thronicke
Int. J. Environ. Res. Public Health 2022, 19(16), 10159; https://doi.org/10.3390/ijerph191610159 - 16 Aug 2022
Cited by 31 | Viewed by 4674
Abstract
Real-world evidence (RWE) is increasingly involved in the early benefit assessment of medicinal drugs. It is expected that RWE will help to speed up approval processes comparable to RWE developments in vaccine research during the COVID-19 pandemic. Definitions of RWE are diverse, marking [...] Read more.
Real-world evidence (RWE) is increasingly involved in the early benefit assessment of medicinal drugs. It is expected that RWE will help to speed up approval processes comparable to RWE developments in vaccine research during the COVID-19 pandemic. Definitions of RWE are diverse, marking the highly fluid status in this field. So far, RWE comprises information produced from data routinely collected on patient’s health status and/or delivery of health care from various sources other than traditional clinical trials. These sources can include electronic health records, claims, patient-generated data including in home-use settings, data from mobile devices, as well as patient, product, and disease registries. The aim of the present update was to review current RWE developments and guidelines, mainly in the U.S. and Europe over the last decade. RWE has already been included in various approval procedures of regulatory authorities, reflecting its actual acceptance and growing importance in evaluating and accelerating new therapies. However, since RWE research is still in a transition process, and since a number of gaps in this field have been explored, more guidance and a consented definition are necessary to increase the implementation of real-world data. Full article
(This article belongs to the Special Issue Real-World Evidence for Resuscitation Science)
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