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The correlation existing between the automated external defibrillators (AEDs) and survival after in-hospital cardiac arrest is analyzed. The application of AEDs is not shown to enhance the survival of such patients.

A study was conducted to investigate the association between a lack of health insurance and financial constraints on accessing care among those with health insurance and the time taken from onset to hospital admission in acute myocardial infarction (AMI). Results indicated that such factors did contribute to delays in seeking emergency care for AMI.

The study attempts to estimate racial differences in survival for patients following in-hospital cardiac arrests and the factors associated with it. The results indicate that African-American patients were less likely to survive discharge as compared to white patients and also that most of the racial differences were associated with the hospital in which African-American patients received care.

A study was conducted to evaluate the rates of hospital-wide codes and mortality before implementation by a rapid response team intervention and after. Results indicated that rapid response team intervention did not impact hospital-wide code rates or mortality.

Importance: Publicly available data sets hold much potential, but their unique design may require specific analytic approaches.Objective: To determine adherence to appropriate research practices for a frequently used large public database, the National Inpatient Sample (NIS) of the Agency for Healthcare Research and Quality (AHRQ).Design, Setting, and Participants: In this observational study of the 1082 studies published using the NIS from January 2015 through December 2016, a representative sample of 120 studies was systematically evaluated for adherence to practices required by AHRQ for the design and conduct of research using the NIS.Exposures: None.Main Outcomes and Measures: All studies were evaluated on 7 required research practices based on AHRQ's recommendations and compiled under 3 domains: (1) data interpretation (interpreting data as hospitalization records rather than unique patients); (2) research design (avoiding use in performing state-, hospital-, and physician-level assessments where inappropriate; not using nonspecific administrative secondary diagnosis codes to study in-hospital events); and (3) data analysis (accounting for complex survey design of the NIS and changes in data structure over time).Results: Of 120 published studies, 85% (n = 102) did not adhere to 1 or more required practices and 62% (n = 74) did not adhere to 2 or more required practices. An estimated 925 (95% CI, 852-998) NIS publications did not adhere to 1 or more required practices and 696 (95% CI, 596-796) NIS publications did not adhere to 2 or more required practices. A total of 79 sampled studies (68.3% [95% CI, 59.3%-77.3%]) among the 1082 NIS studies screened for eligibility did not account for the effects of sampling error, clustering, and stratification; 62 (54.4% [95% CI, 44.7%-64.0%]) extrapolated nonspecific secondary diagnoses to infer in-hospital events; 45 (40.4% [95% CI, 30.9%-50.0%]) miscategorized hospitalizations as individual patients; 10 (7.1% [95% CI, 2.1%-12.1%]) performed state-level analyses; and 3 (2.9% [95% CI, 0.0%-6.2%]) reported physician-level volume estimates. Of 27 studies (weighted; 218 studies [95% CI, 134-303]) spanning periods of major changes in the data structure of the NIS, 21 (79.7% [95% CI, 62.5%-97.0%]) did not account for the changes. Among the 24 studies published in journals with an impact factor of 10 or greater, 16 (67%) did not adhere to 1 or more practices, and 9 (38%) did not adhere to 2 or more practices.Conclusions and Relevance: In this study of 120 recent publications that used data from the NIS, the majority did not adhere to required practices. Further research is needed to identify strategies to improve the quality of research using the NIS and assess whether there are similar problems with use of other publicly available data sets. [ABSTRACT FROM AUTHOR]

Importance: Therapeutic hypothermia is used for patients following both out-of-hospital and in-hospital cardiac arrest. However, randomized trials on its efficacy for the in-hospital setting do not exist, and comparative effectiveness data are limited.Objective: To evaluate the association between therapeutic hypothermia and survival after in-hospital cardiac arrest.Design, Setting, and Patients: In this cohort study, within the national Get With the Guidelines-Resuscitation registry, 26 183 patients successfully resuscitated from an in-hospital cardiac arrest between March 1, 2002, and December 31, 2014, and either treated or not treated with hypothermia at 355 US hospitals were identified. Follow-up ended February 4, 2015.Exposure: Induction of therapeutic hypothermia.Main Outcomes and Measures: The primary outcome was survival to hospital discharge. The secondary outcome was favorable neurological survival, defined as a Cerebral Performance Category score of 1 or 2 (ie, without severe neurological disability). Comparisons were performed using a matched propensity score analysis and examined for all cardiac arrests and separately for nonshockable (asystole and pulseless electrical activity) and shockable (ventricular fibrillation and pulseless ventricular tachycardia) cardiac arrests.Results: Overall, 1568 of 26 183 patients with in-hospital cardiac arrest (6.0%) were treated with therapeutic hypothermia; 1524 of these patients (mean [SD] age, 61.6 [16.2] years; 58.5% male) were matched by propensity score to 3714 non-hypothermia-treated patients (mean [SD] age, 62.2 [17.5] years; 57.1% male). After adjustment, therapeutic hypothermia was associated with lower in-hospital survival (27.4% vs 29.2%; relative risk [RR], 0.88 [95% CI, 0.80 to 0.97]; risk difference, -3.6% [95% CI, -6.3% to -0.9%]; P = .01), and this association was similar (interaction P = .74) for nonshockable cardiac arrest rhythms (22.2% vs 24.5%; RR, 0.87 [95% CI, 0.76 to 0.99]; risk difference, -3.2% [95% CI, -6.2% to -0.3%]) and shockable cardiac arrest rhythms (41.3% vs 44.1%; RR, 0.90 [95% CI, 0.77 to 1.05]; risk difference, -4.6% [95% CI, -10.9% to 1.7%]). Therapeutic hypothermia was also associated with lower rates of favorable neurological survival for the overall cohort (hypothermia-treated group, 17.0% [246 of 1443 patients]; non-hypothermia-treated group, 20.5% [725 of 3529 patients]; RR, 0.79 [95% CI, 0.69 to 0.90]; risk difference, -4.4% [95% CI, -6.8% to -2.0%]; P < .001) and for both rhythm types (interaction P = .88).Conclusions and Relevance: Among patients with in-hospital cardiac arrest, use of therapeutic hypothermia compared with usual care was associated with a lower likelihood of survival to hospital discharge and a lower likelihood of favorable neurological survival. These observational findings warrant a randomized clinical trial to assess efficacy of therapeutic hypothermia for in-hospital cardiac arrest. [ABSTRACT FROM AUTHOR]

Importance: Appropriate Use Criteria for Coronary Revascularization were developed to critically evaluate and improve patient selection for percutaneous coronary intervention (PCI). National trends in the appropriateness of PCI have not been examined.Objective: To examine trends in PCI utilization, patient selection, and procedural appropriateness following the introduction of Appropriate Use Criteria.Design, Setting, and Participants: Multicenter, longitudinal, cross-sectional analysis of patients undergoing PCI between July 1, 2009, and December 31, 2014, at hospitals continuously participating in the National Cardiovascular Data Registry CathPCI registry over the study period.Main Outcomes and Measures: Proportion of nonacute PCIs classified as inappropriate at the patient and hospital level using the 2012 Appropriate Use Criteria for Coronary Revascularization.Results: A total of 2.7 million PCI procedures from 766 hospitals were included. Annual PCI volume of acute indications was consistent over the study period (377,540 in 2010; 374,543 in 2014), but the volume of nonacute PCIs decreased from 89,704 in 2010 to 59,375 in 2014. Among patients undergoing nonacute PCI, there were significant increases in angina severity (Canadian Cardiovascular Society grade III/IV angina, 15.8% in 2010 and 38.4% in 2014), use of antianginal medications prior to PCI (at least 2 antianginal medications, 22.3% in 2010 and 35.1% in 2014), and high-risk findings on noninvasive testing (22.2% in 2010 and 33.2% in 2014) (P < .001 for all), but only modest increases in multivessel coronary artery disease (43.7% in 2010 and 47.5% in 2014, P < .001). The proportion of nonacute PCIs classified as inappropriate decreased from 26.2% (95% CI, 25.8%-26.6%) to 13.3% (95% CI, 13.1%-13.6%), and the absolute number of inappropriate PCIs decreased from 21,781 to 7921. Hospital-level variation in the proportion of PCIs classified as inappropriate persisted over the study period (median, 12.6% [interquartile range, 5.9%-22.9%] in 2014).Conclusions and Relevance: Since the publication of the Appropriate Use Criteria for Coronary Revascularization in 2009, there have been significant reductions in the volume of nonacute PCI. The proportion of nonacute PCIs classified as inappropriate has declined, although hospital-level variation in inappropriate PCI persists. [ABSTRACT FROM AUTHOR]

Importance: After patients survive an in-hospital cardiac arrest, discussions should occur about prognosis and preferences for future resuscitative efforts.Objective: To assess whether patients' decisions for do-not-resuscitate (DNR) orders after a successful resuscitation from in-hospital cardiac arrest are aligned with their expected prognosis.Design, Setting, and Participants: Within Get With The Guidelines-Resuscitation, we identified 26,327 patients with return of spontaneous circulation (ROSC) after in-hospital cardiac arrest between April 2006 and September 2012 at 406 US hospitals. Using a previously validated prognostic tool, each patient's likelihood of favorable neurological survival (ie, without severe neurological disability) was calculated. The proportion of patients with DNR orders within each prognosis score decile and the association between DNR status and actual favorable neurological survival were examined.Exposures: Do-not-resuscitate orders within 12 hours of ROSC.Main Outcomes and Measures: Likelihood of favorable neurological survival.Results: Overall, 5944 (22.6% [95% CI, 22.1%-23.1%]) patients had DNR orders within 12 hours of ROSC. This group was older and had higher rates of comorbidities (all P < .05) than patients without DNR orders. Among patients with the best prognosis (decile 1), 7.1% (95% CI, 6.1%-8.1%) had DNR orders even though their predicted rate of favorable neurological survival was 64.7% (95% CI, 62.8%-66.6%). Among patients with the worst expected prognosis (decile 10), 36.0% (95% CI, 34.2%-37.8%) had DNR orders even though their predicted rate for favorable neurological survival was 4.0% (95% CI, 3.3%-4.7%) (P for both trends <.001). This pattern was similar when DNR orders were redefined as within 24 hours, 72 hours, and 5 days of ROSC. The actual rate of favorable neurological survival was higher for patients without DNR orders (30.5% [95% CI, 29.9%-31.1%]) than it was for those with DNR orders (1.8% [95% CI, 1.6%-2.0%]). This pattern of lower survival among patients with DNR orders was seen in every decile of expected prognosis.Conclusions and Relevance: Although DNR orders after in-hospital cardiac arrest were generally aligned with patients' likelihood of favorable neurological survival, only one-third of patients with the worst prognosis had DNR orders. Patients with DNR orders had lower survival than those without DNR orders, including those with the best prognosis. [ABSTRACT FROM AUTHOR]

The article discusses a study that developed a simple, bedside prediction tool that provides accurate estimation of favorable neurological survival after in-hospital cardiac arrest. Findings show that the rates of favorable neurological survival were similar in the derivation cohort and validation cohort patients. Evidence suggests that the tool provides accurate prognostication after cardiac arrest for physicians, patients and families.

The article highlights a study which investigated he association between diagnostic blood loss from phlebotomy and the development of hospital-acquired anemia (HAA) during acute myocardial infarction. The association between phlebotomy and HAA were investigated using hierarchical modified Poisson regression. Results of the study revealed independent association between blood loss from greater phlebotomy use and HAA.

The article discusses the relevance of percutaneous coronary intervention (PCI), which is performed in about 600,000 cases in the U.S. per year and costs a total of 12 billion U.S. dollars. In a study conducted by the authors to understand the need for the procedure, they use data from the National Cardiovascular Data Registry between July 1, 2009 and September 30, 2010 with an aim of finding the proportion of appropriate, uncertain or inappropriate PCI. They conclude that most PCIs done in the U.S. were appropriate with only 12% being tagged as inappropriate.

The article discusses a study on the relationship between low health literacy and all-cause mortality and hospitalization outcomes among patients with heart failure. It mentions that health literacy is the level to which an individual can obtain, process and understand basic health information and services that are key to appropriate health decisions. Results indicate that 262 or 17.5% of the 1494 respondents have low health literacy while mortality findings show that there were 46 or 17.6% deaths in the low health literacy group and 78 or 6.3% deaths in the adequate literacy group. Findings also show a lack of association between literacy and all-cause hospitalization.

The article discusses a meta-analysis study which investigated the effect of the coverage of tele-medicine intensive care unit (ICU) on the length of stay (LOS) and mortality of patients. It also determines several key hospital, ICU, and patient factors that mitigate of improve the effectiveness of the coverage of tele-medicine systems ICU. The findings of the meta-analysis revealed the association of tele-ICU coverage with lower ICU LOS and mortality but not with lower mortality of LOS of in-house patients.

The article focuses on a study that investigated the association between admission to stroke centers for acute ischemic stroke and mortality. Using data from the New York Statewide Planning and Research Cooperative System, the researchers compared mortality for patients admitted with ischemic stroke between 2005 and 2006 at designated stroke centers and at nondesignated hospitals, using differential distance to hospitals as a variable in adjusting for potential pre-hospital selection bias. Results indicated modestly lower mortality among patients with acute ischemic stroke admitted to a designated stroke center, as well as more frequent use of thrombolytic therapy.

The article presents a study that evaluates the efficiency of rapid response teams (RRTs) in the reduction of mortality rates and cardiopulmonary arrest in hospitals. It states that systemic reviews of studies from 1950 to 2008 were conducted. Results show that RRT reduced arrest outside intensive care unit (ICU) by 33.8% in adults and 37.7% in children, but was not associated with mortality. It concludes that though RRT has a broad appeal, it still lacks the evidence to support its efficiency.

A response is presented to two letters to the editor that respond to the authors' article "American Heart Association's Get With the Guidelines-Resuscitation Investigators: Association Between Therapeutic Hypothermia and Survival After In-Hospital Cardiac Arrest" in volume 316, issue 13 of the journal.

The authors explore the three important gaps in knowledge that need to be addressed in order to improve the overall survival following an in-hospital cardiac arrest (IHCA). First is the need to determine whether discharge survival rate is the best outcome for measurement. Second is the understanding of organizational culture and best practices that distinguish hospitals with superior survival rates. Last is the examination of long-term outcomes after an IHCA.