Literature DB >> 27965361

Effect of preceding medications on resuscitation outcome of out-of-hospital cardiac arrest.

Shih-Wen Hung1,2, Chien-Ming Chu3, Chih-Feng Su3, Li-Ming Tseng1, Tzong-Luen Wang1,2.   

Abstract

As evidence regarding the impact of preceding medications on resuscitation outcomes has been inconsistent, this study aimed to analyze the association between preceding medications and resuscitation outcomes in patients experiencing out-of-hospital cardiac arrest (OHCA). This retrospective study included patients with OHCA presenting to a tertiary care hospital by emergency medical service (EMS) between January 2006 and June 2011. Using the Utstein template, data were collected from EMS and hospital medical records for prehospital care, in-hospital care, and medications which were taken continuously for at least 2 weeks preceding OHCA. Primary outcome was the proportion of patients with a survived event. Multivariable logistic regression analyses were performed to evaluate the predictors of survived events. Among the 1381 included patients with OHCA, 552 (40.0%) patients achieved sustained return of spontaneous circulation and 463 (33.5%) patients survived after resuscitation, 96 (7.0%) patients survived until discharge, and 20 (1.4%) patients had a favorable neurological outcome at discharge. The multivariable analyses revealed that use of statins preceding OHCA was independently associated with a greater probability of a survived events (OR=2.09, 95% CI 1.08 to 4.03, p=0.028).Use of digoxin was adversely associated with survived events (OR=0.39, 95% CI 0.16 to 0.90, p=0.028) in patients with OHCA. The continuous use of statins preceding OHCA was positively associated with survived events, while use of digoxin was adversely related. It deserves more attention on medications preceding OHCA because of their potential effect on resuscitation outcomes.
Copyright © 2017 American Federation for Medical Research.

Entities:  

Keywords:  Arrhythmias, Cardiac; Emergency Service, Hospital; Heart Arrest; Medicine

Mesh:

Year:  2016        PMID: 27965361      PMCID: PMC5339563          DOI: 10.1136/jim-2016-000264

Source DB:  PubMed          Journal:  J Investig Med        ISSN: 1081-5589            Impact factor:   2.895


The survival-to-discharge rate of out-of-hospital cardiac arrest (OHCA) ranges from 1% to 20% and requires improvement. Pharmacotherapy plays an important role in the primary prevention of OHCA, including reducing risk factors for ischemic heart disease and preventing ventricular arrhythmia. Questions have been raised about whether preceding medications improve or worsen prognosis after successful resuscitation. Preceding statin use was independently associated with better survived events in patients with OHCA (OR=2.09, p=0.028). Preceding digoxin use was adversely associated with survived events in patients with OHCA (OR=0.39, p=0.028). Preceding use of antiarrhythmics had no effect on the survived events in patients with OHCA. The most effective management of OHCA is to prevent its occurrence by lowering the risk of ischemic heart disease and preventing ventricular arrhythmia; therefore, our results suggest that more attention needs to be paid to the preceding medications because of their potential association with survival after OHCA.

Introduction

Out-of-hospital cardiac arrest (OHCA) is a profound clinical challenge worldwide. The reported incidence of OHCA ranges from 19 to 150 per 100 000 person-years, and the survival to discharge rate of OHCA is poor, at 1–20%.1 The majority of OHCA are attributable to ischemic heart disease,2 3 followed by structural heart disease,4 and primary electrical disease.5 In addition to an effective and rapid chain of care for OHCA, reducing the risk of developing ischemic heart disease and preventing ventricular arrhythmia prior to OHCA greatly improve outcome.6 Pharmacotherapy plays an important role in pre-OHCA managements, including anticoagulants for preventing myocardial infarction, antihypertensive and antidiabetic drugs for treating underlying risk factors of ischemic heart disease, and antiarrhythmic drugs for treating and preventing ventricular arrhythmia.6 While medications play a role in the primary prevention of OHCA, once sudden cardiac arrest occurs, it is unclear whether the preceding medications improve survival after resuscitation. In a prospective multicenter study including 874 patients with prehospital cardiac arrest, the antecedent use of antiarrhythmic drugs were associated with poor emergency room survival.7 Another study found that class III antiarrhythmic drugs, such as sotalol, could reduce arrhythmia recurrences but not total mortality after sudden cardiac arrest.8 As evidence has been inconsistent, the aim of this study is to analyze the association of preceding medications with the resuscitation outcome in patients with OHCA.

Methods

Subjects

Subjects who presented to a tertiary care hospital by emergency medical service (EMS) after experiencing OHCA between January 2006 and June 2011 were included. Patients were excluded for any of the following: (1) age <18 years, (2) significant signs of death, (3) refusal of resuscitation, (4) traumatic cardiac arrest, or (5) implantable cardioverter defibrillator. Significant sign of death refers to postmortem changes, including rigor mortis, livor mortis, algor mortis, cadaveric spasm, decomposition, mummification, and skeletonization.9 Traumatic cardiac arrest refers to cardiac arrest directly caused by trauma, such as blunt, penetrating, or burn injury.10 This retrospective study was ethically approved by the local Institutional Review Board.

Data collection

The Utstein template was used for data collection.10 From EMS and hospital medical records, we retrospectively collected demographic characteristics, past medical histories, prehospital and in-hospital care data, and information on medication use during the 2 weeks prior to OHCA. Prehospital care data included place of arrest; presence of witness and bystander cardiopulmonary resuscitation (CPR); time of calls, EMS dispatching, EMS arrival at the scene, EMS starting CPR, EMS departing the scene, and EMS arrival at the hospital; use of automated external defibrillator (AED) and initial rhythm of AED; administration of advanced airway management by EMS; and administration of epinephrine by EMS. In-hospital care data included initial rhythm of 12-lead ECG, medication use during CPR, presence of ventricular tachycardia (VT) or ventricular fibrillation (VF) during CPR, and probable etiology of OHCA. Information regarding medications that were used continuously for at least 2 weeks prior to OHCA was collected from ambulatory and insurance records of each subject. Data were collected only for drugs that have a previously reported association with sudden death and/or significant cardiovascular or respiratory effects, including antiarrhythmic drugs (class I: sodium channel blockers; class II: β-blockers; class III: potassium channel blockers; class IV: calcium channel blockers), cardiovascular drugs (aspirin, clopidogrel, statins, nitroglycerin, Q10, cilostazol), antidiabetic drugs (insulin, oral hypoglycemic agent), antihypertensive drugs (α-blockers, ACE inhibitors, angiotensin II receptor blockers, diuretics), and other relevant drugs such as warfarin, magnesium sulfate, erythromycin, N-acetylcysteine, steroid, digoxin, and QT-prolonging agents.

Statistical analysis

The primary outcome was the success of resuscitation in the emergency department, represented by the rate of survived events. A survived event, as defined by the Utstein template, is the sustained return of spontaneous circulation (ROSC) until admission and handover to the receiving hospital.10 Continuous data are presented as mean with SD, and categorical data presented as count with percentage. The differences between patients with and without survived events for continuous and categorical data were tested using the two-sample t-test and χ2 test, respectively. Multivariable logistic regression analyses were performed to evaluate the predictors of survived events using variables with a p value of <0.1 in the univariable analysis. A two-tailed p value of <0.05 indicated statistical significance. All statistical analyses were performed using IBM SPSS Statistics for Windows, V.19.0 (Armonk, New York, USA).

Results

A total of 1381 patients with OHCA were included (figure 1). Among these patient, 552 (40.0%) patients achieved ROSC and 463 (33.5%) had survived events after resuscitation. Ninety-six (7.0%) patients survived until discharge and 20 (1.4%) had favorable neurological outcomes at discharge defined as a cerebral performance category (CPC) of ≤2.
Figure 1

Outcomes of the included OHCA patients. CPC, cerebral performance category; EMS, emergency medical service; OHCA, out-of-hospital cardiac arrest; ROSC, return of spontaneous circulation.

Outcomes of the included OHCA patients. CPC, cerebral performance category; EMS, emergency medical service; OHCA, out-of-hospital cardiac arrest; ROSC, return of spontaneous circulation. Table 1 lists the comparison of demographic characteristics and medical histories between the patients with and without survived events. There was no difference regarding sex and medical histories between the two groups. Patients with survived events were older than those without survived events (68.8 vs 66.4 years, p=0.01).
Table 1

Demographic characteristics of the included patients with out-of-hospital cardiac arrest

No survived event (n=918)Survived event (n=463)p Value
Age (year)†66.4 (17.4)68.8 (15.1)0.010*
Sex
 Female332 (36.2)170 (36.7)0.841
 Male586 (63.8)293 (63.3)
Medical history
 Diabetic mellitus196 (21.4)113 (24.4)0.198
 Hypertension268 (29.2)148 (32.0)0.289
 Hyperlipidemia19 (2.1)10 (2.2)0.912
 Heart failure59 (6.4)24 (5.2)0.359
 Arrhythmia21 (2.3)17 (3.7)0.138
 Coronary artery disease176 (19.2)97 (21.0)0.433
 Cancer94 (10.2)50 (10.8)0.748
 COPD/asthma54 (5.9)31 (6.7)0.553
 Stroke97 (10.6)65 (14.0)0.058
 Chronic liver disease32 (3.5)15 (3.2)0.812
 Chronic kidney disease84 (9.2)52 (11.2)0.221

*p<0.05.

†Data were presented as count (percentage) or mean (SD).

COPD, chronic obstructive pulmonary disease.

Demographic characteristics of the included patients with out-of-hospital cardiac arrest *p<0.05. †Data were presented as count (percentage) or mean (SD). COPD, chronic obstructive pulmonary disease. Clinical information regarding prehospital and in-hospital care is provided in table 2. Patients with survived events had significantly greater proportion of witnessed arrests (55.9% vs 32.6%, p<0.001), shorter duration between time of call and time of EMS arrival at the scene (4.9 vs 5.2 min, p=0.04), shorter duration between time of call and time of EMS departing the scene (16.1 vs 17.1 min, p=0.004), shorter duration between time of call and time of EMS arrival at the hospital (24.7 vs 26.0 min, p<0.001), greater proportion of shockable initial AED rhythm (13.2% vs 8.0%, p=0.005), and a greater proportion of patients received advanced airway management by EMS (31.7% vs 24.7%, p=0.006) than those without survived events. After arrival at the emergency department, significantly more patients with survived events had shockable initial 12-lead ECG rhythm (8.0% vs 3.8%, p=0.001), had received atropine (30.0% vs 20.9%, p<0.001), had received MgSO4 (4.3% vs 1.5%, p=0.002), had presence of VT/VF during CPR (27.0% vs 19.7%, p=0.002) and fewer had cardiac etiology of OHCA (51.4% vs 72.3%, p<0.001) than those without survived events.
Table 2

Clinical information of patients

No survived event (n=918)Survived event (n=463)p Value
Prehospital
 Arrest at home76 (8.3)34 (7.3)0.544
 Witnessed arrest299 (32.6)259 (55.9)<0.001*
 Bystander CPR118 (12.9)73 (15.8)0.139
Response time (min)†
 Time to EMS arrival at the scene5.2 (2.4)4.9 (2.4)0.040*
 Time to EMS starting CPR9.3 (4.9)9.2 (5.1)0.675
 Time to EMS departing the scene17.1 (6.0)16.1 (6.2)0.004*
 Time to EMS arrival at the hospital26.0 (6.5)24.7 (7.0)<0.001*
AED0.005*
 No AED use44 (4.8)27 (5.8)
 Initial AED rhythm non-shockable801 (87.3)375 (81.0)
 Initial AED rhythm shockable73 (8.0)61 (13.2)
Advanced airway management by EMS227 (24.7)147 (31.7)0.006*
Epinephrine given by EMS175 (19.1)101 (21.8)0.227
Hospital
Initial 12-lead ECG rhythm shockable35 (3.8)37 (8.0)0.001*
Medications
 Epinephrine835 (91.0)415 (89.6)0.427
 Atropine192 (20.9)139 (30.0)<0.001*
 Sodium bicarbonate273 (29.7)151 (32.6)0.274
 Amiodarone114 (12.4)60 (13.0)0.775
 MgSO414 (1.5)20 (4.3)0.002*
 Lidocaine14 (1.5)7 (1.5)0.985
VT/VF during CPR181 (19.7)125 (27.0)0.002*
Cardiac etiology664 (72.3)238 (51.4)<0.001*

*p<0.05.

†Data were presented as count (percentage) or mean (SD).

AED, automated external defibrillator; CPR, cardiopulmonary resuscitation; EMS, emergency medical service; VF, ventricular fibrillation; VT, ventricular tachycardia.

Clinical information of patients *p<0.05. †Data were presented as count (percentage) or mean (SD). AED, automated external defibrillator; CPR, cardiopulmonary resuscitation; EMS, emergency medical service; VF, ventricular fibrillation; VT, ventricular tachycardia. Comparison of medications uses during the 2-week period prior to OHCA between patients with and without survived events revealed that significantly more patients who survived OHCA were receiving class II antiarrhythmic drugs (5.6% vs 3.2%, p=0.028), statins (5.0% vs 2.8%, p=0.043), N-acetylcysteine (1.7% vs 0.5%, p=0.040), and fewer were receiving digoxin (1.7% vs 3.7%, p=0.044) compared with those who did not survive (table 3).
Table 3

Medication uses during the 2 weeks preceding out-of-hospital cardiac arrest

No survived event (n=918)Survived event (n=463)p Value
Antiarrhythmics
 Class I6 (0.7)3 (0.6)1.000
 Class II29 (3.2)26 (5.6)0.028*
 Class III7 (0.8)3 (0.6)1.000
 Class IV63 (6.9)34 (7.3)0.741
Aspirin54 (5.9)31 (6.7)0.553
Clopidogrel23 (2.5)16 (3.5)0.314
Statin26 (2.8)23 (5.0)0.043*
Nitroglycerin23 (2.5)15 (3.2)0.431
Insulin10 (1.1)8 (1.7)0.323
Oral hypoglycemic agents65 (7.1)42 (9.1)0.191
α-Blockers17 (1.9)16 (3.5)0.065
Angiotensin receptor blockers58 (6.3)40 (8.6)0.113
ACE inhibitors19 (2.1)9 (1.9)0.875
Diuretics97 (10.6)52 (11.2)0.707
Warfarin9 (1.0)4 (0.9)1.000
Magnesium14 (1.5)9 (1.9)0.566
Erythromycin2 (0.2)1 (0.2)1.000
N-acetylcysteine5 (0.5)8 (1.7)0.040*
Steroid17 (1.9)8 (1.7)0.870
Digoxin34 (3.7)8 (1.7)0.044*
Theophylline39 (4.2)19 (4.1)0.899
Cilostazol5 (0.5)1 (0.2)0.670
QT-prolonging drugs10 (1.1)5 (1.1)0.987

Data were presented as count (percentage).

*p<0.05.

Medication uses during the 2 weeks preceding out-of-hospital cardiac arrest Data were presented as count (percentage). *p<0.05. Results of multivariable logistic regression model for the predictors of survived events are summarized in table 4. After adjusting for other variables, several variables were independent predictors of survived events, including witnessed arrest (OR=2.18, 95% CI 1.70 to 2.80, p<0.001), response time between call and EMS arrival at the hospital (OR=0.97, 95% CI 0.95 to 0.98, p<0.001), performance of advanced airway management by EMS (OR=1.70, 95% CI 1.27 to 2.26, p<0.001), administration of atropine (OR=1.68, 95% CI 1.26 to 2.23, p<0.001), administration of MgSO4 (OR=3.13, 95% CI 1.43 to 6.88, p=0.004), prehospital ROSC (OR=6.89, 95% CI 3.27 to 14.54, p<0.001), and cardiac etiology (OR=0.30, 95% CI 0.23 to 0.39, p<0.001). Regarding medication use preceding OHCA, the use of statins was an independent positive predictor (OR=2.09, 95% CI 1.08 to 4.03, p=0.028) and the use of digoxin was a negative predictor (OR=0.39, 95% CI 0.16 to 0.90, p=0.028) of survived events.
Table 4

Multivariable logistic regression model for the predictors of survival events

OR95% CIp Value
Age (year)1.011.00 to 1.010.066
Witnessed arrest2.181.70 to 2.80<0.001*
Time to EMS arrival at the hospital0.970.95 to 0.98<0.001*
Advanced airway management by EMS1.701.27 to 2.26<0.001*
AED
 No AED use0.128
 Initial AED rhythm non-shockable0.650.41 to 1.020.063
 Initial AED rhythm shockable0.810.43 to 1.540.529
Initial 12-lead ECG rhythm shockable1.570.83 to 2.980.170
Atropine1.681.26 to 2.23<0.001*
MgSO43.131.43 to 6.880.004*
VT/VF during CPR1.240.88 to 1.740.221
Prehospital ROSC6.893.27 to 14.54<0.001*
Cardiac etiology0.300.23 to 0.39<0.001*
Stroke1.300.89 to 1.900.175
Antiarrhythmics, class II1.740.93 to 3.260.081
Statin2.091.08 to 4.030.028*
α-Blocker1.310.59 to 2.910.505
N-acetylcysteine3.140.96 to 10.260.059
Digoxin0.390.16 to 0.900.028*

*p<0.05.

AED, automated external defibrillator; CPR, cardiopulmonary resuscitation; EMS, emergency medical service; ROSC, return of spontaneous circulation; VF, ventricular fibrillation; VT, ventricular tachycardia.

Multivariable logistic regression model for the predictors of survival events *p<0.05. AED, automated external defibrillator; CPR, cardiopulmonary resuscitation; EMS, emergency medical service; ROSC, return of spontaneous circulation; VF, ventricular fibrillation; VT, ventricular tachycardia.

Discussion

Most patients with OHCA had some form of underlying heart diseases, mainly ischemic heart diseases. Primary prevention of OHCA includes optimal management of ventricular arrhythmia and reduction of risk factors for ischemic heart disease. Pharmacotherapy plays an important role in the primary prevention of OHCA; however, sufficient evidence is lacking regarding the association between medication use preceding OHCA and the resuscitation outcome. In this study, use of a statin was significantly associated with survival after OHCA (OR=2.09, 95% CI 1.08 to 4.03, p=0.028) and use of digoxin was associated with less likelihood of survival (OR=0.39, 95% CI 0.16 to 0.90, p=0.028) after adjusting for other variables. Statins have been shown to have cardiovascular protective effects, including stabilization of atherosclerotic plaque, inhibition of systematic inflammation, antioxidative quality, improvement in endothelial function, and ability to increase nitric oxide bioavailability, which attribute to the pleiotropic and lipid-lowering effects of agents in this class.11 12 Some studies have observed potential antiarrhythmic effects of statins, such as improving heart rate variability and decreasing QT dispersion.13 14 Moreover, a meta-analysis of 25 randomized controlled trials conducted by Rahimi et al15 reported that statin use was associated with a 10% reduction in risk of sudden cardiac death in comparison with control (OR=0.90, 95% CI 0.82 to 0.97, p=0.01). However, very few studies have analyzed the effect of statins on resuscitation outcomes after cardiac arrest. In a prospective study by Vukmir et al, antecedent medication use by patients with OHCA was only briefly described as use of cardiac drugs, and antihypertensive, antiarrhythmic, pulmonary, hematological, gastrointestinal, psychiatric, or antiseizure agents.7 This study did not specify which agents were included as cardiac drugs, for example, cholesterol-lowering agents or statins.7 Our results found that the use of statins significantly increased the rate of survived events in patients experiencing OHCA. This finding suggests that the cardioprotective effect of statins prevents cardiac arrest and cardiac death, and also might affect resuscitation outcomes of sudden cardiac arrest. Digoxin is a standard treatment for congestive heart failure, but its cardiac safety and effect remain uncertain. In a prospective study by Teodorescu et al comprising 378 sudden cardiac death cases, multivariable analysis revealed that digoxin significantly increased the risk of sudden cardiac death (OR=4.74, 95% CI 2.35 to 9.53, p<0.0001).16 Conversely, a retrospective study including 6797 participants noted that digoxin was not an independent risk factor of sudden coronary death (OR=1.19, 95% CI 0.94 to 1.49, p=0.15).17 These conflicting results might have been due to interaction between digoxin and other drugs that could influence digoxin concentrations, and thus affecting its activity. Consequently, the true effect size of digoxin could be underestimated or overestimated in each study.18 In addition to these conflicting results, sufficient evidence is lacking in regard to the effect of digoxin on resuscitation outcomes of cardiac arrest. Our study found that digoxin use was associated with poor emergency room survival in patients with OHCA. The result suggests that the cardiac toxicity of digoxin remains when sudden cardiac arrest occurs and subsequently influences resuscitation outcomes. While a better understating could be gained from a randomized controlled clinical study, the retrospective findings presented here could be a starting point. In the future, practice guidelines for resuscitation might be modified as sufficient evidence becomes available. For example, different resuscitation processes may need to be applied, such as the administration of different drugs during CPR, for patients who are currently taking digoxin or statins. In this study, we did not find any significant association between the empiric use of antiarrhythmic drugs and OHCA event survival. Vukmir et al reported that antiarrhythmic use was associated with decreased survival of patients with prehospital cardiac arrest. However, this study collected only data for four specific antiarrhythmic drugs (procainamide, quinidine, disopyramide, and mexiletine) and multivariate analysis was not performed to adjust for confounding factors.7 Contrastingly, a retrospective study by Dries et al found that the use of any antiarrhythmic agents (other than β-blockers) independently increased the risk of sudden coronary death (OR=1.33, 95% CI 1.05 to 1.69, p=0.02), but β-blockers were not associated with increased risk (OR=0.75, 95% CI 0.55 to 1.03, p=0.07). Unfortunately, this study did not specify the details of antiarrhythmic drugs and also did not evaluate the resuscitation outcomes.17 In our study, we collected data on all classes of antiarrhythmic drugs, which provides a more comprehensive view of the empiric use of antiarrhythmic drugs for cardiac arrest. There were several limitations in this study. First, potential bias is inherent in the retrospective study design. Second, we did not consider certain time-related factors which can potentially confound outcomes, such as time of collapse, time interval from collapse to ROSC, and time interval from collapse to AED use; however, recall of precise time would be difficult in an emergency settings. Third, we only collected data on drugs which have been previously reported to have an association with sudden death and/or have significant cardiovascular or respiratory effects. Potential drug–drug interactions which could possibly affect the outcomes of OHCA were not assessed. Fourth, we did not consider physiological factors, such as renal and hepatic function, which could alter pharmacological effects. Finally, this study only focused on the predictors of survived events and did not consider other core outcomes, such as survival to discharge or discharge with favorable neurological outcomes. These outcomes also deserve further investigations for their association with medications preceding OHCA.

Conclusion

This study found that the continuous use of statins during the 2 weeks preceding OHCA significantly increased the likelihood of survived events. Conversely, use of digoxin was adversely associated with survived events in patients with OHCA. As pharmacotherapy plays an important role in the primary prevention of OHCA, more attention needs to be paid to medication preceding OHCA because of their potential effects on resuscitation outcomes.
  17 in total

1.  Sudden cardiac death with apparently normal heart.

Authors:  S S Chugh; K L Kelly; J L Titus
Journal:  Circulation       Date:  2000-08-08       Impact factor: 29.690

2.  Statins, ventricular arrhythmias and heart rate variability in patients with implantable cardioverter defibrillators and coronary heart disease.

Authors:  Sam Riahi; Erik Berg Schmidt; Jeppe Hagstrup Christensen; Finn Heath; Anders Kirstein Pedersen; Jens Cosedis Nielsen; Henning Mølgaard; Egon Toft
Journal:  Cardiology       Date:  2005-09-09       Impact factor: 1.869

3.  Effects of atorvastatin on ventricular late potentials and repolarization dispersion in patients with hypercholesterolemia.

Authors:  Chih-Sheng Chu; Kun-Tai Lee; Shuo-Tsan Lee; Ye-Hsu Lu; Tsung-Hsien Lin; Wen-Chol Voon; Sheng-Hsiung Sheu; Wen-Ter Lai
Journal:  Kaohsiung J Med Sci       Date:  2007-05       Impact factor: 2.744

4.  Suppression of sustained ventricular tachyarrhythmias: a comparison of d,l-sotalol with no antiarrhythmic drug treatment.

Authors:  V Kühlkamp; C Mewis; J Mermi; R F Bosch; L Seipel
Journal:  J Am Coll Cardiol       Date:  1999-01       Impact factor: 24.094

Review 5.  Statins and the reduction of sudden cardiac death: antiarrhythmic or anti-ischemic effect?

Authors:  Abhimanyu Beri; Tahmeed Contractor; Atul Khasnis; Ranjan Thakur
Journal:  Am J Cardiovasc Drugs       Date:  2010       Impact factor: 3.571

6.  Effect of antithrombotic therapy on risk of sudden coronary death in patients with congestive heart failure.

Authors:  D L Dries; M J Domanski; M A Waclawiw; B J Gersh
Journal:  Am J Cardiol       Date:  1997-04-01       Impact factor: 2.778

Review 7.  Epidemiology of sudden coronary death: an overview.

Authors:  J Demirovic; R J Myerburg
Journal:  Prog Cardiovasc Dis       Date:  1994 Jul-Aug       Impact factor: 8.194

8.  Sudden death in young adults: a 25-year review of autopsies in military recruits.

Authors:  Robert E Eckart; Stephanie L Scoville; Charles L Campbell; Eric A Shry; Karl C Stajduhar; Robert N Potter; Lisa A Pearse; Renu Virmani
Journal:  Ann Intern Med       Date:  2004-12-07       Impact factor: 25.391

Review 9.  Global incidences of out-of-hospital cardiac arrest and survival rates: Systematic review of 67 prospective studies.

Authors:  Jocelyn Berdowski; Robert A Berg; Jan G P Tijssen; Rudolph W Koster
Journal:  Resuscitation       Date:  2010-09-09       Impact factor: 5.262

10.  Resting heart rate and risk of sudden cardiac death in the general population: influence of left ventricular systolic dysfunction and heart rate-modulating drugs.

Authors:  Carmen Teodorescu; Kyndaron Reinier; Audrey Uy-Evanado; Karen Gunson; Jonathan Jui; Sumeet S Chugh
Journal:  Heart Rhythm       Date:  2013-05-13       Impact factor: 6.343

View more
  2 in total

1.  Seasonal variation in incidence and outcomes of out of hospital cardiac arrest: A retrospective national observational study in the United States.

Authors:  Rayan H El Sibai; Rana H Bachir; Mazen J El Sayed
Journal:  Medicine (Baltimore)       Date:  2021-05-07       Impact factor: 1.889

2.  Systematic review of the relationship between comorbidity and out-of-hospital cardiac arrest outcomes.

Authors:  David Majewski; Stephen Ball; Judith Finn
Journal:  BMJ Open       Date:  2019-11-18       Impact factor: 2.692

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.