| Literature DB >> 34933962 |
Laura Helena van Dongen1, Marieke T Blom1, Sandra C M de Haas1, Henk C P M van Weert2, Petra Elders3, Hanno Tan4,5.
Abstract
AIM: This study aimed to determine whether patients suffering from out-of-hospital cardiac arrest (OHCA) with a pre-OHCA diagnosis of heart disease have higher survival chances than patients without such a diagnosis and to explore possible underlying mechanisms.Entities:
Keywords: Survival; epidemiology; heart disease; out-of-hospital cardiac arrest; ventricular fibrillation
Mesh:
Year: 2021 PMID: 34933962 PMCID: PMC8693164 DOI: 10.1136/openhrt-2021-001805
Source DB: PubMed Journal: Open Heart ISSN: 2053-3624
Characteristics of study population
| Without pre-OHCA diagnosed heart disease | With pre-OHCA diagnosed heart disease | P value | |
| n=1952 | n=1808 | ||
| Age in years, mean±SD | 64.7±14.0 | 71.4±12.6 | <0.001 |
| Male sex | 1379 (70.6) | 1289 (71.3) | 0.66 |
| Cardiovascular risk profile | |||
|
| 311 (15.9) | 406 (22.5) | <0.001 |
|
| 824 (42.2) | 1073 (59.3) | <0.001 |
|
| 498 (25.5) | 690 (38.2) | <0.001 |
|
| 168 (8.6) | 319 (17.6) | <0.001 |
|
| 324 (16.6) | 520 (28.8) | <0.001 |
| Non-cardiac comorbidities | |||
|
| 138 (7.1) | 220 (12.2) | <0.001 |
|
| 283 (14.5) | 384 (21.2) | <0.001 |
|
| 312 (16.0) | 378 (20.9) | <0.001 |
|
| 79 (4.0) | 95 (5.3) | 0.08 |
|
| 136 (7.0) | 400 (22.1) | <0.001 |
|
| 73 (3.7) | 92 (5.1) | 0.13 |
| Resuscitation parameters | |||
|
| 0.06 | ||
|
| 1250 (64.0) | 1223 (67.6) | |
|
| 154 (7.9) | 135 (7.5) | |
|
| 1482 (75.9) | 1339 (74.1) | 0.19 |
|
| 1404 (71.9) | 1351 (74.7) | 0.053 |
|
| 1101 (56.4) | 987 (54.6) | 0.26 |
|
| 849 (43.5) | 854 (47.2) | 0.021 |
|
| 8.5 (6.5–11.0) | 8.5 (6.6–10.9) | 0.67 |
Results are presented as n (%) unless indicated otherwise.
*Time between emergency call and connection of AED or manual defibrillator.
AED, automated external defibrillator; CPR, cardiopulmonary resuscitation; OHCA, out-of-hospital cardiac arrest.
Figure 1Forest plot of the associations between having pre-OHCA diagnosed heart disease and survival to hospital admission and survival to hospital discharge. Model 1 adjusted for age and sex. Model 2 adjusted for model 1 plus resuscitation parameters (use of automated external defibrillator, presence of bystander or ambulance witness, provision of bystander CPR, OHCA location and time to defibrillator connection) and model 3 for model 2 plus initial rhythm. Model 4 adjusted for model 3 plus significant cardiovascular risk profile (obesity, hypertension, hypercholesterolemia, stroke, type 2 diabetes) and model 5 additionally adjusted for significant non-cardiac comorbidities (depression, COPD, cancer and renal dysfunction). COPD, chronic obstructive pulmonary disease; CPR, cardiopulmonary resuscitation; OHCA, out-of-hospital cardiac arrest.
Figure 2Forest plot of the association between having pre-OHCA diagnosed heart disease and shockable initial rhythm (SIR) and acute myocardial infarction (AMI) as immediate cause of OHCA. Model 1 adjusted for age and sex. Model 2 adjusted for model 1 plus resuscitation parameters (use of automated external defibrillator, presence of bystander or ambulance witness, provision of bystander CPR, OHCA location and time to defibrillator connection) and model 3 for model 2 plus initial rhythm. Model 4 adjusted for model 3 plus significant comorbidities (obesity, hypertension, hypercholesterolemia, stroke, type 2 diabetes) and model 5 additionally adjusted for significant non-cardiac comorbidities (depression, COPD, cancer and renal dysfunction). *Models 4 and 5: in the analysis on SIR the models do not adjust for initial rhythm as confounder. COPD, chronic obstructive pulmonary disease; CPR, cardiopulmonary resuscitation; OHCA, out-of-hospital cardiac arrest.