Afshin Goodarzi; Mahnaz Khatiban; Alireza Abdi; Khodayar Oshvandi
Volume 10, Issue 4 , October 2022, , Pages 141-156
Abstract
Objective: To investigate the relationship between outcomes and demographic-clinical variables in in-hospital cardiac arrest (IHCA).Methods: The Medline database was searched along with Google Scholar, Scopus, Web of Science, and Persian language database without time limitation until January ...
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Objective: To investigate the relationship between outcomes and demographic-clinical variables in in-hospital cardiac arrest (IHCA).Methods: The Medline database was searched along with Google Scholar, Scopus, Web of Science, and Persian language database without time limitation until January 6th, 2020. The inclusion criteria included papers published in journals or presented in English and Persian congress that reported the IHCA outcomes based on the Utstein criterion. All the descriptive, cross-sectional, and cohort studies on CPR were covered based on inclusion and exclusion criteria. Primary checks covered titles and abstracts followed by a full-text check of the remaining papers from the first screening stage. Data analysis was done using comprehensive metaanalysis (CMA) software version 2.0. The finding’s heterogeneity was checked using Q and Cochran tests with heterogeneity >50% and the random-effects model was used to estimate survival and favorable neurological outcome (FNO) in the analysis. To detect the publication bias of studies, the subgroup test, meta-regression test,sensitivity analysis test, funnel plot, and Eagger’s regression test were used.Results: Survival to discharge was 19.1% (95% CI=16.8-21.7) and FNO in the survived to discharge cases was 68.1% (95% CI=55.8-78.3). Survival to discharge and FNO were notably higher in men, CPR duration <15min, and shockable dysrhythmias.Conclusion: IHCA outcomes are poor in developing countries. The outcomes of IHCA in terms of gender were inconsistent with the result reported by other meta-analyses.
Amir Mirhaghi; Hojjat Shafaee; Javad Malekzadeh; Farzaneh Hasanzadeh
Volume 5, Issue 2 , April 2017, , Pages 104-109
Abstract
Objective: To develop decision-support tools to identify patients experiencing sudden cardiac arrest (SCA).Methods: Eighty calls related to SCA were content analyzed, and the contextual patterns that emerged were organized into a checklist. Two researchers independently analyzed the recorded calls and ...
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Objective: To develop decision-support tools to identify patients experiencing sudden cardiac arrest (SCA).Methods: Eighty calls related to SCA were content analyzed, and the contextual patterns that emerged were organized into a checklist. Two researchers independently analyzed the recorded calls and compared their findings. Eighteen dispatchers scored 20 cases (which included SCA and non-SCA cases) both with and without the checklist. Correct responses for each case and agreement among dispatchers have been reported.Results: Eighty audio files (total time, 96 min) were analyzed, and a total of 602 codes were extracted from the text and recordings. The caller’s tone of voice and presence or absence of background voices, calling for an ambulance and giving the dispatcher the address promptly, and description of the primary complaint and respirations accounted for 38%, 39%, and 23% of all codes, respectively. A 15-item complementary checklist has been developed. The mean percentages of correct responses were 66.9%+27.96% prior to the use of checklist and 80.05%+10.84% afterwards. Results of the independent t test for checklist scores showed that statistically significant differences were present between the SCA and non-SCA cases (t=5.88, df=18, p=0.000).Conclusion: Decision support tools can potentially increase the recognition rate of SCA cases, and therefore produce a higher rate of dispatcher-directed CPR.
