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1.
Resuscitation ; 172: 64-73, 2022 03.
Article in English | MEDLINE | ID: mdl-35077856

ABSTRACT

BACKGROUND: This review is the latest in a series of regular annual reviews undertaken by the editors and aims to highlight some of the key papers published in Resuscitation during 2021. METHODS: Hand-searching by the editors of all papers published in Resuscitation during 2021. Papers were selected based on then general interest and novelty and were categorised into themes. RESULTS: 98 papers were selected for brief mention. CONCLUSIONS: Resuscitation science continues to evolve and incorporates all links in the chain of survival.


Subject(s)
Cardiopulmonary Resuscitation , Humans
2.
Resuscitation ; 162: 1-10, 2021 05.
Article in English | MEDLINE | ID: mdl-33577963

ABSTRACT

BACKGROUND: This review is the latest in a series of regular annual reviews undertaken by the editors and aims to highlight some of the key papers published in Resuscitation during 2020. The number of papers submitted to the Journal in 2020 increased by 25% on the previous year.MethodsHand-searching by the editors of all papers published in Resuscitation during 2020. Papers were selected based on then general interest and novelty and were categorised into general themes.ResultsA total of 103 papers were selected for brief mention in this review.ConclusionsResuscitation science continues to evolve rapidly and incorporate all links in the chain of survival.


Subject(s)
Cardiopulmonary Resuscitation , Humans
3.
Resuscitation ; 148: 234-241, 2020 03 01.
Article in English | MEDLINE | ID: mdl-32044335
8.
Resuscitation ; 89: A1-6, 2015 Apr.
Article in English | MEDLINE | ID: mdl-25656964

Subject(s)
Resuscitation , Humans
12.
Resuscitation ; 65(3): 265-77, 2005 Jun.
Article in English | MEDLINE | ID: mdl-15919562

ABSTRACT

There is a lack of high-quality information about the effectiveness of resuscitation interventions and international differences in structure, process and outcome after out-of-hospital cardiac arrest and cardiopulmonary resuscitation because data are not collected uniformly. An internet-based international registry could make such evaluations possible, and enable the conduct of large randomized controlled trials of resuscitation therapies. A prospective international cohort study was performed that included 571 infants, children and adults (a) who experienced cardiac arrest requiring chest compressions or external defibrillation, (b) outside the hospital in the study communities and (c) upon whom resuscitation was attempted by EMS personnel. Cardiac arrest was defined as lack of responsiveness, breathing or movement in individuals for whom the EMS system is activated for whom an arrest record is completed. All data were collated via a secure and confidential web-based method by using automated forms processing software with appropriate variable range checks, logic checks and skip rules. Median number of missing responses for each variable was 0 (interquartile range 0, 0). Twenty-seven percent of the patients had a first recorded rhythm of ventricular fibrillation or ventricular tachycardia, 60% had a witnessed arrest, and 34% received bystander CPR. Mean time from call to arrival on scene was 7.1+/-5.1 min. Six percent of the patients survived to hospital discharge. The resuscitation process was highly variable across centers, and survival and neurological outcome were also significantly and independently different across centers. This study shows that it is possible to collect data prospectively describing the structure, process and outcome associated with cardiac arrest in multiple international sites via the internet. Therefore, it is feasible to conduct adequately powered randomized trials of resuscitation therapies in international settings.


Subject(s)
Cardiopulmonary Resuscitation , Heart Arrest/therapy , Outcome and Process Assessment, Health Care , Registries , Adolescent , Adult , Aged , Aged, 80 and over , Australia , Child , Child, Preschool , Europe , Feasibility Studies , Female , Humans , Infant , Male , Middle Aged , North America , Prospective Studies
13.
N Engl J Med ; 351(7): 637-46, 2004 Aug 12.
Article in English | MEDLINE | ID: mdl-15306665

ABSTRACT

BACKGROUND: The rate of survival after out-of-hospital cardiac arrest is low. It is not known whether this rate will increase if laypersons are trained to attempt defibrillation with the use of automated external defibrillators (AEDs). METHODS: We conducted a prospective, community-based, multicenter clinical trial in which we randomly assigned community units (e.g., shopping malls and apartment complexes) to a structured and monitored emergency-response system involving lay volunteers trained in cardiopulmonary resuscitation (CPR) alone or in CPR and the use of AEDs. The primary outcome was survival to hospital discharge. RESULTS: More than 19,000 volunteer responders from 993 community units in 24 North American regions participated. The two study groups had similar unit and volunteer characteristics. Patients with treated out-of-hospital cardiac arrest in the two groups were similar in age (mean, 69.8 years), proportion of men (67 percent), rate of cardiac arrest in a public location (70 percent), and rate of witnessed cardiac arrest (72 percent). No inappropriate shocks were delivered. There were more survivors to hospital discharge in the units assigned to have volunteers trained in CPR plus the use of AEDs (30 survivors among 128 arrests) than there were in the units assigned to have volunteers trained only in CPR (15 among 107; P=0.03; relative risk, 2.0; 95 percent confidence interval, 1.07 to 3.77); there were only 2 survivors in residential complexes. Functional status at hospital discharge did not differ between the two groups. CONCLUSIONS: Training and equipping volunteers to attempt early defibrillation within a structured response system can increase the number of survivors to hospital discharge after out-of-hospital cardiac arrest in public locations. Trained laypersons can use AEDs safely and effectively.


Subject(s)
Cardiopulmonary Resuscitation , Electric Countershock , Emergency Medical Services , Heart Arrest/therapy , Volunteers , Adolescent , Adult , Aged , Aged, 80 and over , Commerce , Female , Heart Arrest/mortality , Hospitalization , Housing , Humans , Male , Middle Aged , Prospective Studies , Single-Blind Method , Survival Analysis
15.
Resuscitation ; 50(3): 331-40, 2001 Sep.
Article in English | MEDLINE | ID: mdl-11719163

ABSTRACT

BACKGROUND: The purpose of our study was to develop a physiologically based pharmacokinetic (PBPK) model describing the behavior of lidocaine in humans by scaling up physiological variables from animal models of cardiac arrest. We attempted to identify the optimal dose regime for lidocaine during cardiac arrest using this model. METHODS AND RESULTS: We designed a flow-dependent PBPK model representing nine body tissues for lidocaine. Physiological organ flow rates, tissue volumes, and plasma-tissue partition parameters for lidocaine in humans were taken from the literature. Data from published animal studies were used to estimate loss of organ blood flow during cardiac arrest and lidocaine tissue partition coefficients. The model assumed a 70 kg cardiac arrest patient. The following five lidocaine dose regimes were simulated: (1) 4 mg/kg i.v. push (IVP) (2) 1.5 mg/kg IVP then 1.5 mg/kg IVP in 4 min, (3) 3 mg/kg IVP, (4) 2 mg/kg IVP, and (5) 1.5 mg/kg IVP. A simulation of Regimen 2, which is the current American Heart Association (AHA) recommendation, suggests that the concentration of lidocaine is suboptimal at the decision point (3-5 min) to administer another dose. Regimen 4 offers a slightly more rapid progress towards optimal cardiac concentrations and more acceptable brain concentrations compared to regimes 1-3. CONCLUSION: Simulations from our PBPK model suggest that the current AHA lidocaine dose regime for cardiac arrest may not result in optimal lidocaine concentrations in the heart and brain. Simulations suggest that 2 mg/kg IVP may be the most acceptable lidocaine dose regime during cardiac arrest.


Subject(s)
Anesthetics, Local/pharmacokinetics , Heart Arrest/metabolism , Lidocaine/pharmacokinetics , Algorithms , Humans , Models, Cardiovascular , Predictive Value of Tests , Reproducibility of Results , Sensitivity and Specificity , Tissue Distribution
17.
Prehosp Emerg Care ; 5(3): 237-46, 2001.
Article in English | MEDLINE | ID: mdl-11446537

ABSTRACT

Approximately 1,000 people in the United States suffer cardiac arrest each day, most often as a complication of acute myocardial infarction (AMI) with accompanying ventricular fibrillation or unstable ventricular tachycardia. Increasing the number of patients who survive cardiac arrest and minimizing the clinical sequelae associated with cardiac arrest in those who do survive are the objectives of emergency medical personnel. In 1990, the American Heart Association (AHA) suggested the chain of survival concept, with four links--early access, cardiopulmonary resuscitation (CPR), defibrillation, and advanced care--as the way to approach cardiac arrest. The recently published International Resuscitation Guidelines 2000 of the AHA have addressed advances in our understanding of the chain of survival. While the chain of survival concept has withstood a decade of scrutiny, there are only a few scientifically rigorous research studies that support changes in prehospital patient care. Additional research efforts carried out in the prehospital setting are needed to support the concepts included in the chain of survival for cardiac arrest patients. Participants at the second Turtle Creek Conference, a meeting of experts in the field of emergency medicine held in Dallas, Texas, on March 29-31, 2000, discussed these and other issues associated with prehospital emergency care in the cardiac arrest patient. This paper addresses a number of the issues associated with each of the links of the chain of survival, the evidence that exists, and what should be done to achieve the clinical evidence needed for true clinical significance. Also included in this paper are the consensus statements developed from small discussion groups held after the main presentation. These comments provide another perspective to the problems and to possible approaches to deal with them.


Subject(s)
Emergency Medical Services/statistics & numerical data , Evidence-Based Medicine , Heart Arrest/therapy , Practice Guidelines as Topic , Advanced Cardiac Life Support/methods , Advanced Cardiac Life Support/standards , American Heart Association , Cardiopulmonary Resuscitation/methods , Cardiopulmonary Resuscitation/standards , Electric Countershock/methods , Electric Countershock/standards , Health Services Accessibility/standards , Heart Arrest/epidemiology , Humans , Outcome and Process Assessment, Health Care , Survival Analysis , Time Factors , United States/epidemiology
18.
Resuscitation ; 48(2): 117-23, 2001 Feb.
Article in English | MEDLINE | ID: mdl-11426473

ABSTRACT

Cardiac arrest can occur as a complication of acute myocardial infarction (AMI). To date, few studies have described factors associated with cardiac arrest occurrence and survival during hospitalization for treatment of AMI. We used data from a large national registry of hospitalized AMI patients to identify these factors. Data were collected from 1073 participating institutions, representing 14.4% of US hospitals. Hospital site coordinators conducted periodic chart reviews for AMI patients and data were submitted to an independent center for periodic review. Univariate analysis and multivariate logistic regression were used to identify factors associated with cardiac arrest. We found that cardiac arrest occurred in 4.8% (14,725/305,812) of hospitalized AMI patients. The survival rate to hospital discharge for these individuals was 29.4%. Sustained ventricular tachycardia or fibrillation (VT/VF) was present in 34.7% and was associated with a higher rate of survival to hospital discharge compared to cardiac arrest patients without a ventricular tachyarrhythmia (47.5 vs. 19.8%, P < 0.00001). Hypotension (initial systolic BP < 90 mmHg), q-wave AMI, old age, heart failure and initial heart rate abnormalities (bradycardia or tachycardia) were associated with a higher prevalence of cardiac arrest. A higher percentage of women compared to men experienced cardiac arrest (6.0 vs. 4.41%, P < 0.0001). Cardiac arrest prevalence was lower in patients with inferior wall infarction than in other types of ST-elevation infarction. Use of reperfusion therapy (PTCA or tPA) was associated with improved survival compared to hospitalized AMI patients who did not receive such therapy.


Subject(s)
Heart Arrest/epidemiology , Myocardial Infarction/epidemiology , Age Distribution , Aged , Cardiopulmonary Resuscitation/methods , Comorbidity , Female , Heart Arrest/therapy , Hospitalization/statistics & numerical data , Humans , Incidence , Logistic Models , Male , Middle Aged , Multivariate Analysis , Myocardial Infarction/therapy , Probability , Registries , Risk Assessment , Risk Factors , Sex Distribution , Survival Analysis , Survival Rate , United States/epidemiology
20.
Emerg Med Clin North Am ; 19(2): 283-93, 2001 May.
Article in English | MEDLINE | ID: mdl-11373979

ABSTRACT

The decision-making process for emergency physicians in managing patients with signs or symptoms of AMI or unstable angina is quite different than that used by other specialists who might evaluate such patients in a less critical setting (e.g., a cardiologist seeing a private patient in an office or outpatient clinic environment). The emergency physician's evaluation must be highly focused and follow established principles of emergency medicine (Fig. 2). Although the evaluation and treatment of all patients must be individualized to some degree, increasing experience at high-volume centers nationally indicates that well-constructed institutional strategies, protocols, and critical pathways can help emergency physicians to provide consistent, cost-effective management of such patients.


Subject(s)
Angina, Unstable/therapy , Critical Pathways , Decision Making , Emergency Service, Hospital , Myocardial Infarction/therapy , Algorithms , Angina, Unstable/diagnosis , Comorbidity , Humans , Myocardial Infarction/diagnosis , Resuscitation
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