Association between type of bystander cardiopulmonary resuscitation and survival in out-of-hospital cardiac arrest: A machine learning study

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Association between type of bystander cardiopulmonary resuscitation and survival in out-of-hospital cardiac arrest: A machine learning study

Jerkeman, Matilda (författare): Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för molekylär och klinisk medicin,Institute of Medicine, Department of Molecular and Clinical Medicine,Department of Clinical and Molecular Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden

Lundgren, Peter (författare): Gothenburg University,Göteborgs universitet,Högskolan i Borås,Akademin för vård, arbetsliv och välfärd,Department of Clinical and Molecular Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.; Region Västra Götaland, Sahlgrenska University Hospital, Department of Cardiology, Gothenburg, Sweden.,PreHospen,Institutionen för medicin, avdelningen för molekylär och klinisk medicin,Institute of Medicine, Department of Molecular and Clinical Medicine

Omerovic, Elmir, 1968 (författare): Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för molekylär och klinisk medicin,Institute of Medicine, Department of Molecular and Clinical Medicine,Department of Clinical and Molecular Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Region Västra Götaland, Sahlgrenska University Hospital, Department of Cardiology, Gothenburg, Sweden

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Strömsöe, Anneli, 1969- (författare): Department of Clinical Science and Education, Center for Resuscitation Science, Solna, Karolinska Institutet, Sweden

Riva, Gabriel (författare): Karolinska Institutet,Department of Clinical Science and Education, Center for Resuscitation Science, Solna, Karolinska Institutet, Sweden; The Swedish Cardiopulmonary Resuscitation Registry, Centre of Registries, Västra Götalandsregionen, Gothenburg, Sweden

Hollenberg, Jacob (författare): Karolinska Institutet,Department of Clinical Science and Education, Center for Resuscitation Science, Solna, Karolinska Institutet, Sweden; The Swedish Cardiopulmonary Resuscitation Registry, Centre of Registries, Västra Götalandsregionen, Gothenburg, Sweden

Nivedahl, Per (författare): Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för molekylär och klinisk medicin,Institute of Medicine, Department of Molecular and Clinical Medicine,Department of Clinical and Molecular Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Region Västra Götaland, Sahlgrenska University Hospital, Department of Cardiology, Gothenburg, Sweden

Herlitz, Johan, 1949- (författare): Högskolan i Borås,Akademin för vård, arbetsliv och välfärd,PreHospen

Rawshani, Araz, 1986 (författare): Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för molekylär och klinisk medicin,Institute of Medicine, Department of Molecular and Clinical Medicine,Department of Clinical and Molecular Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Region Västra Götaland, Sahlgrenska University Hospital, Department of Cardiology, Gothenburg, Sweden

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Elsevier BV, 2022
2022
Engelska.
Ingår i: Resuscitation Plus. - : Elsevier BV. - 2666-5204. ; 10

Relaterad länk:: https://doi.org/10.1...; visa fler...; https://hb.diva-port... (primary) (Raw object); https://urn.kb.se/re...; https://doi.org/10.1...; http://kipublication...; https://urn.kb.se/re...; https://gup.ub.gu.se...; visa färre...

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AimIn the event of an out of hospital cardiac arrest (OHCA) it is recommended for a sole untrained bystander to perform compression only CPR (CO-CPR). However, it remains unknown if CO-CPR is inferior to standard CPR (S-CPR), including both compressions and ventilation, in terms of survival. One could speculate that due to the current pandemic, bystanders may be more hesitant performing mouth-to-mouth ventilation. The aim of this study is to assess the association between type of bystander CPR and survival in OHCA.MethodsThis study included all patients with a bystander treated OHCA between year 2015–2019 in ages 18–100 using The Swedish Registry for Cardiopulmonary Resuscitation (SRCR). We compared CO-CPR to S-CPR in terms of 30-day survival using a propensity score approach based on machine learning adjusting for a large number of covariates.ResultsA total of 13,481 patients were included (5,293 with S-CPR and 8,188 with CO-CPR). The matched subgroup consisted of 2994 cases in each group.Gradient boosting were the best models with regards to predictive accuracy (for type of bystander CPR) and covariate balance. The difference between S-CPR and CO-CPR in all 30 models computed on covariate adjustment and 1-to-1 matching were non-significant. In the 30 weighted models, three comparisons (S-CPR vs. CO-CPR) were significant in terms of improved survival; odds ratio for men was 1.21 (99% confidence interval (CI) 1.02–1.43; Average treatment effect (ATE)); for patients ≥73 years 1.57 (99% CI 1.17–2.12) for Average treatment effect on treated (ATT) and 1.63 (99% CI 1.18–2.25) for ATE. Remaining 27 models showed no differences. No significances remain after adjustment for multiple testing.ConclusionWe found no significant differences between S-CPR and CO-CPR in terms of survival, supporting current recommendations for untrained bystanders regarding CO-CPR.

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Av författaren/redakt...: Jerkeman, Matild ...; Lundgren, Peter; Omerovic, Elmir, ...; Strömsöe, Anneli ...; Riva, Gabriel; Hollenberg, Jaco ...; visa fler...; Nivedahl, Per; Herlitz, Johan, ...; Rawshani, Araz, ...; visa färre...

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MEDICIN OCH HÄLSOVETENSKAP: MEDICIN OCH HÄLS ...; och Klinisk medicin; och Anestesi och int ...

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Av lärosätet: Högskolan i Borås; Karolinska Institutet; Högskolan Dalarna; Göteborgs universitet

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Association between type of bystander cardiopulmonary resuscitation and survival in out-of-hospital cardiac arrest: A machine learning study

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