A novel scoring system using easily assessible predictors of return of spontaneous circulation and mortality in traumatic out-of-hospital cardiac arrest patients: A retrospective cohort study

Kuo, I-Ming; Chen, Yi-Fu; Chien, Chih-Ying; Hong, Yi-Wen; Kang, Shih‐Ching; Fu, Chih-Yuan; Hsu, Chih-Po; Liao, Chien‐Hung; Hsieh, Chi-Hsun

doi:10.1016/j.ijsu.2022.106731

Cited by 2 publications

(23 citation statements)

References 25 publications

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“…Five studies [ 14 , 16 , 18 – 20 ] adopted the screening of predictors based on the results of single factor analysis, and two studies [ 15 , 17 ] directly used the stepwise selection method of multifactor analysis. Regarding the development of prediction models, the modeling method used most frequently in these models [ 14 , 15 , 17 , 18 , 20 ] was logistic regression, and Cox proportional hazard regression was also used in one model [ 16 ]. There were also mixed-effects regression [ 19 ] and machine learning [ 21 ] modeling approaches for these models but only one study each.…”

Section: Resultsmentioning

confidence: 99%

“…Three studies [ 15 , 16 , 19 ] adopted reasonable inspection methods to evaluate the calibration degree of the model and reported the calibration results of the model. In addition, only Amnuaypattanapon et al [ 17 ], Baldi et al [ 18 ], and Kuo et al [ 20 ] had fully explained the sensitivity and specificity of the model ( Table 1 ).…”

Section: Resultsmentioning

confidence: 99%

“…The main predictors of ROSC in IHCA patients, according to Gräsner et al [ 14 ], were age, gender, length of hospital stay, medical reasons, location of cardiac arrest, and initial heart rhythm. The presence of apparent chest injury, a temperature less than 33 degrees Celsius, and a probable etiology of OHCA were all variables that could predict ROSC failure in traumatic out-of-hospital cardiac arrest (TOHCA) patients [ 20 ].…”

Section: Resultsmentioning

confidence: 99%

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Prediction Models for Return of Spontaneous Circulation in Patients with Cardiac Arrest: A Systematic Review and Critical Appraisal

Cheng,

Yang,

Zhang

et al. 2023

Emergency Medicine International

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Objectives. Prediction models for the return of spontaneous circulation (ROSC) in patients with cardiac arrest play an important role in helping physicians evaluate the survival probability and providing medical decision-making reference. Although relevant models have been developed, their methodological rigor and model applicability are still unclear. Therefore, this study aims to summarize the evidence for ROSC prediction models and provide a reference for the development, validation, and application of ROSC prediction models. Methods. PubMed, Cochrane Library, Embase, Elsevier, Web of Science, SpringerLink, Ovid, CNKI, Wanfang, and SinoMed were systematically searched for studies on ROSC prediction models. The search time limit was from the establishment of the database to August 30, 2022. Two reviewers independently screened the literature and extracted the data. The PROBAST was used to evaluate the quality of the included literature. Results. A total of 8 relevant prediction models were included, and 6 models reported the AUC of 0.662–0.830 in the modeling population, which showed good overall applicability but high risk of bias. The main reasons were improper handling of missing values and variable screening, lack of external validation of the model, and insufficient information of overfitting. Age, gender, etiology, initial heart rhythm, EMS arrival time/BLS intervention time, location, bystander CPR, witnessed during sudden arrest, and ACLS duration/compression duration were the most commonly included predictors. Obvious chest injury, body temperature below 33°C, and possible etiologies were predictive factors for ROSC failure in patients with TOHCA. Age, gender, initial heart rhythm, reason for the hospital visit, length of hospital stay, and the location of occurrence in hospital were the predictors of ROSC in IHCA patients. Conclusion. The performance of current ROSC prediction models varies greatly and has a high risk of bias, which should be selected with caution. Future studies can further optimize and externally validate the existing models.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Prediction Models for Return of Spontaneous Circulation in Patients with Cardiac Arrest: A Systematic Review and Critical Appraisal

Cheng,

Yang,

Zhang

et al. 2023

Emergency Medicine International

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“…The existence of cardiopulmonary resuscitation provides oxygen intake and blood circulation to body systems, especially organs that are very vital and sensitive to lack of oxygen such as the brain and heart. Cessation of circulation (either a few seconds or even a few minutes) is an emergency condition because the supply of oxygen to the brain stops, and brain hypoxia can occur which results in the ability of the brain's coordination to move autonomic organs to be disturbed, such as heart rate and breathing movements (Borkowska et al, 2021;Jung et al, 2022;Kuo et al, 2022;. This rescue will be very useful if it is done as well as possible.…”

Section: Discussionmentioning

confidence: 99%

“…Various incidents in the field indicate incompetence and errors in assistance in emergency events in the field. Giving the ability to help with cardiopulmonary resuscitation is the right action to prevent this problem from occurring (Cash et al, 2022;Kuo et al, 2022;Rzońca et al, 2019;Zuhroidah et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

Cardiopulmonary Resuscitation Capacity Building Training for High School Students in Martapura, Banjar Regency

Hammad¹,

Rizani²,

Rachmadi³

et al. 2023

IJCSL

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The Banjar Regency area is prone to flooding and is one of the disaster areas that can cause casualties and stress that triggers an increase in cardiovascular disease sufferers. This condition requires community preparedness for emergencies. The purpose of this community service activity is to train partners skills in cardiopulmonary resuscitation skills to be able to help victims of cardiac or respiratory arrest. The first implementation of this community service activity is carrying out an initial test to recognize emergency signs in heart and lung attacks, then providing an introduction to the concept of heart and lung emergency through lecture methods, discussion, and sharing related to real events of cardiopulmonary arrest in the community, then the final stage is evaluation of student abilities. The target of this community service activity was 40 students who are members of the High School Youth Red Cross in Martapura City, Banjar Regency. The results of this community service activity students understand material related to cardiopulmonary resuscitation, and providing basic life support counseling has a significant effect on student knowledge. Through this activity, students are expected to be able to provide a pre-hospital cardiopulmonary resuscitation simulation, and students can disseminate information to those closest to them.

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A novel scoring system using easily assessible predictors of return of spontaneous circulation and mortality in traumatic out-of-hospital cardiac arrest patients: A retrospective cohort study

Cited by 2 publications

References 25 publications

Prediction Models for Return of Spontaneous Circulation in Patients with Cardiac Arrest: A Systematic Review and Critical Appraisal

Prediction Models for Return of Spontaneous Circulation in Patients with Cardiac Arrest: A Systematic Review and Critical Appraisal

Cardiopulmonary Resuscitation Capacity Building Training for High School Students in Martapura, Banjar Regency

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