Search

BACKGROUND: Prompt initiation of bystander cardiopulmonary resuscitation (CPR) is critical to survival for out-of-hospital cardiac arrest (OHCA). However, the association between delays in bystander CPR and OHCA survival is poorly understood. METHODS: In this observational study using a nationally representative US registry, we identified patients who received bystander CPR from a layperson for a witnessed OHCA from 2013 to 2021. Hierarchical logistic regression was used to estimate the association between time to CPR (<1 minute versus 2–3, 4–5, 6–7, 8–9, and ≥10-minute intervals) and survival to hospital discharge and favorable neurological survival (survival to discharge with cerebral performance category of 1 or 2 [ie, without severe neurological disability]). RESULTS: Of 78 048 patients with a witnessed OHCA treated with bystander CPR, the mean age was 63.5±15.7 years and 25, 197 (32.3%) were women. The median time to bystander CPR was 2 (1–5) minutes, with 10% of patients having a≥10-minute delay before initiation of CPR. Overall, 15 000 (19.2%) patients survived to hospital discharge and 13 159 (16.9%) had favorable neurological survival. There was a graded inverse relationship between time to bystander CPR and survival to hospital discharge (P for trend <0.001). Compared with patients who received CPR within 1 minute, those with a time to CPR of 2 to 3 minutes were 9% less likely to survive to discharge (adjusted odds ratio, 0.91 [95% CI, 0.87–0.95]) and those with a time to CPR 4 to 5 minutes were 27% less likely to survive (adjusted odds ratio, 0.73 [95% CI, 0.68–0.77]). A similar graded inverse relationship was found between time to bystander CPR and favorable neurological survival (P for trend <0.001). CONCLUSIONS: Among patients with witnessed OHCA, there was a dose-response relationship between delays in bystander initiation of CPR and lower survival rates. [ABSTRACT FROM AUTHOR]

BACKGROUND: It is unclear how the type of an atherosclerotic cardiovascular disease (ASCVD) event potentially influences patients' likelihood of smoking cessation. METHODS: Using 2013 to 2018 data from the US based National Cardiovascular Data Registry Practice Innovation and Clinical Excellence outpatient cardiac registry, we identified patients who were current smokers at a clinic visit and followed them over time for a subsequent ASCVD event. Self-reported smoking status was assessed at each consecutive visit and used to determine smoking cessation after each interim ASCVD event (myocardial infarction, percutaneous coronary intervention, coronary artery bypass graft, stroke/transient ischemic attack, peripheral artery disease). We constructed separate multivariable Cox models with nonproportional hazards to examine the association of each interim ASCVD event with smoking cessation, compared with not having an interim ASCVD event. We estimated the relative association of ASCVD event type with smoking cessation using contrast tests. Analyses were stratified by presence versus absence of ASCVD at baseline. RESULTS: Across 530 cardiology practices, we identified 1 933 283 current smokers (mean age 62±15, male 54%, ASCVD at baseline 50%). Among the 322 743 patients who had an interim ASCVD event and were still smoking, 41 336 (12.8%) quit smoking by their first subsequent clinic visit, which was higher among those with baseline ASCVD (13.4%) as compared with those without baseline ASCVD (11.5%). Each type of ASCVD event was associated with an increased likelihood of smoking. Patients who had an myocardial infarction, underwent coronary artery bypass graft (hazard ratio, 1.60 [95% CI, 1.55–1.65]), or had a stroke or transient ischemic attack were more likely to quit smoking as compared with those who underwent elective percutaneous coronary intervention or had a new diagnosis of peripheral artery disease (hazard ratio, 1.20 [95% CI, 1.17–1.22]). CONCLUSIONS: Only 13% of patients reported smoking cessation after an ASCVD event, with the type of event being associated with the likelihood of smoking cessation, prompting the need for patient-centered interventions. [ABSTRACT FROM AUTHOR]

Background: In response to urban-rural disparities in healthcare resources, China recently launched a healthcare reform with a focus on improving rural care during the past decade. However, nationally representative studies comparing medical care and patient outcomes between urban and rural areas in China during this period are not available.Methods and Results: We created a nationally representative sample of patients in China admitted for ST-segment-elevation myocardial infarction in 2001, 2006, and 2011, using a 2-stage random sampling design in 2 urban and 3 rural strata. In China, evidence-based treatments were provided less often in 2001 in rural hospitals, which had lower volume and less availability of advanced cardiac facilities. However, these differences diminished by 2011 for reperfusion therapy (54% in urban versus 57% in rural; P=0.1) and reversed for angiotensin-converting enzyme inhibitors/angiotensin receptor blockers (66% versus 68%; P=0.04) and early β-blockers (56% versus 60%; P=0.01). The risk-adjusted rate of in-hospital death or withdrawal from treatment was not significantly different between urban and rural hospitals in any study year, with an adjusted odds ratio of 1.13 (0.77-1.65) in 2001, 0.99 (0.77-1.27) in 2006, and 0.94 (0.74-1.19) in 2011.Conclusions: Although urban-rural disparities in evidence-based treatment for myocardial infarction in China have largely been eliminated, substantial gaps in quality of care persist in both settings. In addition, urban hospitals providing more resource-intensive care did not achieve better outcomes.Clinical Trial Registration: URL: https://www.clinicaltrials.gov. Unique identifier: NCT01624883. [ABSTRACT FROM AUTHOR]

Background: In SPRINT (Systolic Blood Pressure Intervention Trial), patients with hypertension and high cardiovascular risk treated with intensive blood pressure (BP) control (<120 mm Hg) had fewer major adverse cardiovascular events (MACE) and deaths but higher rates of treatment-related serious adverse events (SAE) than patients randomized to standard BP control (<140 mm Hg). However, the degree of benefit or harm for an individual patient could vary because of heterogeneity in treatment effect.Methods and Results: Using patient-level data from 9361 randomized patients in SPRINT, we developed models to predict risk for MACE or death and treatment-related SAE to allow for individualized BP treatment goals based on each patient's projected risk and benefit of intensive versus standard BP control. Models were internally validated using bootstrap resampling and externally validated on 4741 patients from the ACCORD-BP (The Action to Control Cardiovascular Risk in Diabetes blood pressure) trial. Among 9361 SPRINT patients, 755 patients (8.1%) had a MACE or death event and 338 patients (3.6%) had a treatment-related SAE during a median follow-up of 3.3 years. The MACE/death and the SAE model had C statistics of 0.72 and 0.70, respectively, in the derivation cohort and 0.69 and 0.65 in ACCORD. The MACE/death model had 10 variables including treatment interactions with age, baseline systolic BP, and diastolic BP, and the SAE model had 8 variables including treatment interaction with number of BP medications. Intensive BP treatment was associated with a mean 2.2±2.6% lower risk of MACE/death compared with standard treatment (range, 20.7% lower risk to 19.6% greater risk among individual patients) and a mean 2.2±1.2% higher risk for SAEs (range, 0.5%-15.8% more harm in individual patients).Conclusions: To translate the findings from SPRINT to clinical practice, we developed prediction models to tailor the intensity of BP control based on the projected risk and benefit for each unique patient. This approach should be prospectively tested to better engage patients in shared medical decision making and to improve outcomes.Clinical Trial Registration: URL: https://clinicaltrials.gov. Unique identifier: NCT01206062. [ABSTRACT FROM AUTHOR]

Background: Cardiac arrest is a major public health concern worldwide. The extent and types of randomized controlled trials (RCT)-our most reliable source of clinical evidence-conducted in these high-risk patients over recent years are largely unknown.Methods and Results: We performed a systematic review, identifying all RCTs published in PubMed, EMBASE, Scopus, Web of Science, and the Cochrane Library from 1995 to 2014 that focused on the acute treatment of nontraumatic cardiac arrest in adults. We then extracted data on the setting of study populations, types and timing of interventions studied, risk of bias, outcomes reported, and how these factors have changed over time. Over this 20-year period, 92 RCTs were published containing 64 309 patients (median, 225.5 per trial). Of these, 81 RCTs (88.0%) involved out-of-hospital cardiac arrest, whereas 4 (4.3%) involved in-hospital cardiac arrest and 7 (7.6%) included both. Eighteen RCTs (19.6%) were performed in the United States, 68 (73.9%) were performed outside the United States, and 6 (6.5%) were performed in both settings. Thirty-eight RCTs (41.3%) evaluated drug therapy, 39 (42.4%) evaluated device therapy, and 15 (16.3%) evaluated protocol improvements. Seventy-four RCTs (80.4%) examined interventions during the cardiac arrest, 15 (16.3%) examined post cardiac arrest treatment, and 3 (3.3%) studied both. Overall, reporting of the risk of bias was limited. The most common outcome reported was return of spontaneous circulation: 86 (93.5%) with only 22 (23.9%) reporting survival beyond 6 months. Fifty-three RCTs (57.6%) reported global ordinal outcomes, whereas 15 (16.3%) reported quality-of-life. RCTs in the past 5 years were more likely to be focused on protocol improvements and postcardiac arrest care.Conclusions: Important gaps in RCTs of cardiac arrest treatments exist, especially those examining in-hospital cardiac arrest, protocol improvement, postcardiac arrest care, and long-term or quality-of-life outcomes. [ABSTRACT FROM AUTHOR]

Background: Most studies on out-of-hospital cardiac arrest have primarily focused on in-hospital or short-term survival. Little is known about long-term outcomes and resource use among survivors of out-of-hospital cardiac arrest.Methods: In this observationsl study, we describe overall long-term outcomes for patients from the national Cardiac Arrest Registry to Enhance Survival linked to Medicare files to create the Cardiac Arrest Registry to Enhance Survival: Mortality, Events, and Costs for Cardiac Arrest survivors dataset. Cardiac Arrest Registry to Enhance Survival data between 2013 and 2019 were linked to Medicare data using probabilistic matching algorithms. Overall long-term mortality, readmissions, and index hospitalization costs are reported for the overall cohort.Results: Among 56 425 patients who were 65 years of age or older in Cardiac Arrest Registry to Enhance Survival who survived to hospital admission, 26 875 (47.6%) were successfully linked to Medicare files. Mean (+SD) cost of the index hospitalization was $23 262+$24 199 and the median cost was $14 636 (interquartile range, $9930-$30 033). Overall, 8676 (32.3%) survived to hospital discharge with 38.0% discharged home, 11.8% to hospice care, and the remaining 50.2% to other inpatient, skilled nursing care, or rehabilitation facilities. Mortality after discharge was initially high (27.0% at 3 months) and then increased gradually, with 1- and 3-year mortality of 37.1% and 50.1%, respectively. During the first year, 40.1% were readmitted at least once, with 19.7% readmitted on > 1 occasion.Conclusions: The Cardiac Arrest Registry to Enhance Survival: Mortality, Events, and Costs for Cardiac Arrest survivors registry includes rich data on postdischarge outcomes and resource utilization. Use of this dataset will enable future investigations on the long-term effectiveness, costs, and cost-effectiveness of various interventions for out-of-hospital cardiac arrest in elderly patients. [ABSTRACT FROM AUTHOR]

Background: There is a reported association between high clinical volume and improved outcomes. Whether this relationship is true for outpatients with coronary artery disease (CAD), heart failure (HF), and atrial fibrillation (AF) remains unknown.Methods and Results: Using the PINNACLE Registry (2009-2012), average monthly provider and practice volumes were calculated for CAD, HF, and AF. Adherence with 4 American Heart Association CAD, 2 HF, and 1 AF performance measure were assessed at the most recent encounter for each patient. Hierarchical logistic regression models were used to assess the relationship between provider and practice volume and performance on eligible quality measures. Data incorporated patients from 1094 providers at 71 practices (practice level analyses n=654 535; provider level analyses n=529 938). Median monthly provider volumes were 79 (interquartile range [IQR], 51-117) for CAD, 27 (16-45) for HF, and 37 (24-54) for AF. Median monthly practice volumes were 923 (IQR, 476-1455) for CAD, 311 (145-657) for HF, and 459 (185-720) for AF. Overall, 55% of patients met all CAD measures, 72% met all HF measures, and 58% met the AF measure. There was no definite relationship between practice volume and concordance for CAD, AF, or HF (P=0.56, 0.52, and 0.79, respectively). In contrast, higher provider volume was associated with increased concordance for CAD and AF performance measures (P<0.001 for both), but not for HF (P=0.36).Conclusions: In the PINNACLE registry, performance was modest and variable. Higher provider volume was positively associated with quality, whereas practice volume was not. [ABSTRACT FROM AUTHOR]

Background: In 2009, national legislation promoted wide-spread adoption of electronic health records (EHRs) across US hospitals; however, the association of EHR use with quality of care and outcomes after acute myocardial infarction (AMI) remains unclear.Methods and Results: Data on EHR use were collected from the American Hospital Association Annual Surveys (2007-2010) and data on AMI care and outcomes from the National Cardiovascular Data Registry Acute Coronary Treatment and Interventions Outcomes Network Registry-Get With The Guidelines. Comparisons were made between patients treated at hospitals with fully implemented EHR (n=43 527), partially implemented EHR (n=72 029), and no EHR (n=9270). Overall EHR use increased from 82.1% (183/223) hospitals in 2007 to 99.3% (275/277) hospitals in 2010. Patients treated at hospitals with fully implemented EHRs had fewer heparin overdosing errors (45.7% versus 72.8%; P<0.01) and a higher likelihood of guideline-recommended care (adjusted odds ratio, 1.40 [confidence interval, 1.07-1.84]) compared with patients treated at hospitals with no EHR. In non-ST-segment-elevation AMI, fully implemented EHR use was associated with lower risk of major bleeding (adjusted odds ratio, 0.78 [confidence interval, 0.67-0.91]) and mortality (adjusted odds ratio, 0.82 [confidence interval, 0.69-0.97]) compared with no EHR. In ST-segment-elevation MI, outcomes did not significantly differ by EHR status.Conclusions: EHR use has risen to high levels among hospitals in the National Cardiovascular Data Registry. EHR use was associated with less frequent heparin overdosing and modestly greater adherence to acute MI guideline-recommended therapies. In non-ST-segment-elevation MI, slightly lower adjusted risk of major bleeding and mortality were seen in hospitals implemented with full EHRs; however, in ST-segment-elevation MI, differences in outcomes were not seen. [ABSTRACT FROM AUTHOR]

Background: Although rapid response teams have been widely promoted as a strategy to reduce unexpected hospital deaths, most studies of rapid response teams have not adjusted for secular trends in mortality before their implementation. We examined whether implementation of a rapid response team was associated with a reduction in hospital mortality after accounting for preimplementation mortality trends.Methods: Among 56 hospitals in Get With The Guidelines-Resuscitation linked to Medicare, we calculated the annual rates of case mix-adjusted mortality for each hospital during 2000 to 2014. We constructed a hierarchical log-binomial regression model of mortality over time (calendar-year), incorporating terms to capture the effect of rapid response teams, to determine whether implementation of rapid response teams was associated with reduction in hospital mortality that was larger than expected based on preimplementation trends, while adjusting for hospital case mix index.Results: The median annual number of Medicare admissions was 5214 (range, 408-18 398). The median duration of preimplementation and postimplementation period was 7.6 years (≈2.5 million admissions) and 7.2 years (≈2.6 million admissions), respectively. Hospital mortality was decreasing by 2.7% annually during the preimplementation period. Implementation of rapid response teams was not associated with a change in mortality during the initial year (relative risk for model intercept, 0.98 [95% CI, 0.94-1.02]; P=0.30) or in the mortality trend (relative risk for model slope, 1.01 per year [95% CI, 0.99-1.02]; P=0.30). Among individual hospitals, implementation of a rapid response team was associated with a lower-than-expected mortality at only 4 (7.1%) and higher-than-expected mortality at 2 (3.7%) hospitals.Conclusions: Among a large and diverse sample of US hospitals, we did not find implementation of rapid response teams to be associated with reduction in hospital mortality. Studies are needed to understand best practices for rapid response team implementation, to ensure that hospital investment in these teams improves patient outcomes. [ABSTRACT FROM AUTHOR]

Background: Although an in-hospital cardiac arrest is common, little is known about readmission patterns and an inpatient resource use among survivors of an in-hospital cardiac arrest.Methods and Results: Within a large national registry, we examined long-term inpatient use among 6972 adults aged ≥65 years who survived an in-hospital cardiac arrest. We examined 30-day and 1-year readmission rates and inpatient costs, overall and by patient demographics, hospital disposition (discharge destination), and neurological status at discharge. The mean age was 75.8±7.0 years, 56% were men, and 12% were black. There were a total of 2005 readmissions during the first 30 days (cumulative incidence rate, 35 readmissions/100 patients; 95% confidence interval, 33-37) and 8751 readmissions at 1 year (cumulative incidence rate, 185 readmissions/100 patients; 95% confidence interval, 177-190). Overall, mean inpatient costs were $7741±$2323 at 30 days and $18 629±$9411 at 1 year. Thirty-day inpatient costs were higher in patients of younger age (≥85 years, $6052 [reference]; 75-84 years, $7444 [adjusted cost ratio, 1.23; 1.06-1.42; 65-74 years, $8291 [adjusted cost ratio, 1.37; 1.19-1.59; both P<0.001) and black race (whites, $7413; blacks, $9044; adjusted cost ratio, 1.22; 1.05-1.42; P<0.001), as well as those discharged with severe neurological disability or to skilled nursing or rehabilitation facilities. These differences in resource use persisted at 1 year and were largely because of higher readmission rates.Conclusions: Survivors of an in-hospital cardiac arrest have frequent readmissions and high follow-up inpatient costs. Readmissions and inpatient costs were higher in certain subgroups, including patients of younger age and black race. [ABSTRACT FROM AUTHOR]

Background: Although studies have reported variation in out-of-hospital cardiac arrest (OHCA) survival by geographic location, little is known about variation in OHCA survival at the level of emergency medical service (EMS) agencies-which may have modifiable practices, unlike counties and regions. We quantified the variation in OHCA survival across EMS agencies and explored whether variation in 2 specific EMS resuscitation practices were associated with survival to hospital admission.Methods: Within the Cardiac Arrest Registry to Enhance Survival, a prospective registry representing ≈51% of the US population, we identified 258 342 OHCAs from 764 EMS agencies with >10 OHCA cases annually during 2015 to 2019. Using hierarchical logistic regression, risk-standardized rates of survival to hospital admission were computed for each EMS agency. We quantified inter-agency variation in survival with median odds ratios and assessed the association of 2 resuscitation practices (EMS response time and the proportion of OHCAs with termination of resuscitation without meeting futility criteria) with EMS agency survival rates to hospital admission.Results: Across 764 EMS agencies comprising 258 342 OHCAs, the median risk-standardized rate of survival to hospital admission was 27.3% (interquartile range, 24.5%-30.1%; range: 16.0%-45.6%). The adjusted median odds ratio was 1.35 (95% CI, 1.32-1.39), denoting that the odds of survival of 2 patients with identical covariates varied by 35% at 2 randomly selected EMS agencies. EMS agencies in the lowest quartile of risk-standardized survival had longer EMS response times when compared with the highest quartile (12.0±3.4 versus 9.0±2.6 minutes; P<0.001), and a higher proportion of OHCAs with termination of resuscitation without meeting futility criteria (27.9±16.1% versus 18.9±11.4%; P<0.001).Conclusions: Survival after OHCA varies widely across EMS agencies. EMS response times and termination of resuscitation practices were associated with agency-level rates of survival to hospital admission, suggesting potentially modifiable practices which can improve OHCA survival. [ABSTRACT FROM AUTHOR]

Background: Clinical trials and national performance measures increasingly mandate reporting patients' perspectives of their health status: their symptoms, function, and quality of life. Although the Seattle Angina Questionnaire (SAQ) is a validated disease-specific health status instrument for coronary artery disease (CAD) with high test-retest reliability, predictive power, and responsiveness, its use in routine clinical practice has been limited, in part, by its length (19 items).Methods and Results: Using data from 10 408 patients with CAD from 5 multicenter registries, we derived and validated a shortened version of the SAQ (SAQ-7) among patients presenting with stable CAD, undergoing percutaneous coronary intervention, and after acute myocardial infarction. We examined the psychometric properties of the SAQ-7 as compared with the full SAQ. Seven items from the Physical Limitation, Angina Frequency, and Quality of Life domains were identified for the SAQ-7, with high levels of concordance (0.88-1.00) with each original SAQ domain. The SAQ-7 demonstrated good construct validity (compared with Canadian Cardiovascular Society class for angina), with a correlation of 0.62 and 0.38 for patients with stable CAD and undergoing percutaneous coronary intervention, respectively. It was highly reproducible in patients with stable CAD (intraclass correlation, ≥0.78) and exhibited excellent responsiveness in patients after percutaneous coronary intervention (≥18 points in each SAQ domain). Finally, the SAQ-7 was predictive of 1-year mortality and readmission.Conclusions: To increase the feasibility of measuring patient-reported outcomes in patients with CAD, we developed and validated a shortened 7-item SAQ instrument for use in clinical trials and routine care. [ABSTRACT FROM AUTHOR]

Background: Public reporting on hospital quality has been widely adopted for common medical conditions. Adding a measure of inpatient survival after cardiac arrest is being considered. It is unknown whether this measure would be redundant, given evidence that hospital organization and culture can have hospital-wide effects on quality. Therefore, we sought to evaluate the correlation between inpatient survival after cardiac arrest and 30-day risk-standardized mortality rates for common medical conditions.Methods and Results: Using data between 2007 and 2010 from a national in-hospital cardiac arrest registry, we calculated risk-standardized in-hospital survival rates for cardiac arrest at each hospital. We obtained risk-standardized 30-day mortality rates for acute myocardial infarction, heart failure, and pneumonia from Hospital Compare for the same period. The relationship between a hospital's performance on cardiac arrest and these other medical conditions was assessed using weighted Pearson correlation coefficients. Among 26 270 patients with in-hospital cardiac arrest at 130 hospitals, survival rates varied across hospitals, with a median risk-standardized hospital survival rate of 22.1% and an interquartile range of 19.7% to 24.2%. There were no significant correlations between a hospital's outcomes for its cardiac arrest patients and its patients admitted for acute myocardial infarction (correlation, -0.12; P=0.16), heart failure (correlation, -0.05; P=0.57), or pneumonia (correlation, -0.15; P=0.10).Conclusions: Hospitals that performed better on publicly reported outcomes for 3 common medical conditions did not necessarily have better cardiac arrest survival rates. Public reporting on cardiac arrest outcomes could provide new information about hospital quality. [ABSTRACT FROM AUTHOR]

Background: Recent reports on challenges in resuscitation care at hospitals severely affected by the novel coronavirus disease 2019 (COVID-19) pandemic raise questions about how the pandemic affected outcomes for in-hospital cardiac arrest throughout the United States.Methods: Within Get With The Guidelines-Resuscitation, we conducted a retrospective cohort study to compare in-hospital cardiac arrest survival during the presurge (January 1-February 29), surge (March 1-May 15) and immediate postsurge (May 16-June 30) periods in 2020 compared to 2015 to 2019. Monthly COVID-19 mortality rates for each hospital's county were categorized, per 1 000 000 residents, as low (0-10), moderate (11-50), high (51-100), or very high (>100). Using hierarchical regression models, we compared rates of survival to discharge in 2020 versus 2015 to 2019 for each period.Results: Of 61 586 in-hospital cardiac arrests, 21 208 (4309 in 2020), 26 459 (5949 in 2020), and 13 919 (2686 in 2020) occurred in the presurge, surge, and postsurge periods, respectively. During the presurge period, 24.2% survived to discharge in 2020 versus 24.7% in 2015 to 2019 (adjusted odds ratio, 1.12 [95% CI, 1.02-1.22]). In contrast, during the surge period, 19.6% survived to discharge in 2020 versus 26.0% in 2015 to 2019 (adjusted odds ratio, 0.81 [0.75-0.88]). Lower survival was most pronounced in communities with high (28% lower survival) and very high (42% lower survival) monthly COVID-19 mortality rates (interaction P<0.001). Resuscitation times were shorter (median: 22 versus 25 minutes; P<0.001), and delayed epinephrine treatment was more prevalent (11.3% versus 9.9%; P=0.004) during the surge period. Survival was lower even when patients with confirmed/suspected COVID-19 infection were excluded from analyses. During the postsurge period, survival rates were similar in 2020 versus 2015 to 2019 (22.3% versus 25.8%; adjusted odds ratio, 0.93 [0.83-1.04]), including communities with high COVID-19 mortality (interaction P=0.16).Conclusions: Early during the pandemic, rates of survival to discharge for IHCA decreased, even among patients without COVID-19 infection, highlighting the early impact of the COVID-19 pandemic on in-hospital resuscitation. [ABSTRACT FROM AUTHOR]

Background: Despite ongoing efforts to improve the quality of pediatric resuscitation, it remains unknown whether survival in children with in-hospital cardiac arrest has improved.Methods and Results: Between 2000 and 2009, we identified children (<18 years of age) with an in-hospital cardiac arrest at hospitals with >3 years of participation and >5 cases annually within the national Get With The Guidelines-Resuscitation registry. Multivariable logistic regression was used to examine temporal trends in survival to discharge. We also explored whether trends in survival were attributable to improvement in acute resuscitation or postresuscitation care and examined trends in neurological disability among survivors. Among 1031 children at 12 hospitals, the initial cardiac arrest rhythm was asystole and pulseless electrical activity in 874 children (84.8%) and ventricular fibrillation and pulseless ventricular tachycardia in 157 children (15.2%), with an increase in cardiac arrests due to pulseless electrical activity over time (P for trend <0.001). Risk-adjusted rates of survival to discharge increased from 14.3% in 2000 to 43.4% in 2009 (adjusted rate ratio per year, 1.08; 95% confidence interval, 1.01-1.16; P for trend=0.02). Improvement in survival was driven largely by an improvement in acute resuscitation survival (risk-adjusted rates: 42.9% in 2000, 81.2% in 2009; adjusted rate ratio per year: 1.04; 95% confidence interval, 1.01-1.08; P for trend=0.006). Moreover, survival trends were not accompanied by higher rates of neurological disability among survivors over time (unadjusted P for trend=0.32), suggesting an overall increase in the number of survivors without neurological disability over time.Conclusions: Rates of survival to hospital discharge in children with in-hospital cardiac arrests have improved over the past decade without higher rates of neurological disability among survivors. [ABSTRACT FROM AUTHOR]

Background: Measurement of hospital quality has traditionally focused on processes of care and postprocedure outcomes. Appropriateness measures for percutaneous coronary intervention (PCI) assess quality as it relates to patient selection and the decision to perform PCI. The association between patient selection for PCI and processes of care and postprocedural outcomes is unknown.Methods and Results: We included 203 531 patients undergoing nonacute (elective) PCI from 779 hospitals participating in the National Cardiovascular Data Registry (NCDR) CathPCI Registry between July 2009 and April 2011. We examined the association between a hospital's proportion of nonacute PCIs categorized as inappropriate by the 2009 Appropriate Use Criteria (AUC) for Coronary Revascularization and in-hospital mortality, bleeding complications, and use of optimal guideline-directed medical therapy at discharge (ie, aspirin, thienopyridines, and statins). When categorized as hospital tertiles, the range of inappropriate PCI was 0.0% to 8.1% in the lowest tertile, 8.1% to 15.2% in the middle tertile, and 15.2% to 58.6% in the highest tertile. Compared with lowest-tertile hospitals, mortality was not significantly different at middle-tertile (adjusted odds ratio [OR], 0.93; 95% confidence interval [CI], 0.73-1.19) or highest-tertile hospitals (OR, 1.12; 95% CI, 0.88-1.43; P=0.35 for differences between tertiles). Similarly, risk-adjusted bleeding did not vary significantly (middle-tertile OR, 1.13; 95% CI, 1.02-1.16; highest-tertile OR, 1.02; 95% CI, 0.91-1.16; P=0.07 for differences between tertiles) nor did use of optimal medical therapy at discharge (85.3% versus 85.7% versus 85.2%; P=0.58).Conclusions: In a national cohort of nonacute PCIs, a hospital's proportion of inappropriate PCIs was not associated with in-hospital mortality, bleeding, or medical therapy at discharge. This suggests PCI appropriateness measures aspects of hospital PCI quality that are independent of how well the procedure is performed. Therefore, PCI appropriateness and postprocedural outcomes are both important metrics to inform PCI quality. [ABSTRACT FROM AUTHOR]

The article discusses a study of clinical outcomes between drug-eluting stents (DES) and bare metal stents (BMS) in the U.S. Data from the Evaluation of Drug Eluting Stents and Ischemic Events (EVENTS) registry was used in the study. Results show an association between DES use and a lower event rate for target lesion revascularization (TLR). Also noted is the inability of standard risk-adjustment methods to address treatment selection bias in nonrandomized studies.

Background: Black patients with myocardial infarction (MI) have worse outcomes than white patients, including higher mortality rates, more angina, and worse quality of life. The Translational Research Investigating Underlying Disparities in Acute Myocardial Infarction Patients' Health Status (TRIUMPH) study was designed to examine whether racial differences in socioeconomic, clinical, genetic, metabolic, biomarker, or treatment characteristics mediate observed disparities in outcomes.Methods and Results: Between April 11, 2005, and December 31, 2008, 31 567 patients with MI were prospectively screened; 6152 had an eligible MI, and 4340 (71%) were enrolled from 24 US centers. Consenting patients had detailed chart abstractions of their medical history and processes of inpatient care, supplemented with a detailed baseline interview. Detailed genetic and metabolic data were obtained at hospital discharge in 2979 (69%) and 3013 patients (69%), respectively. In a subset of patients, blood and urine samples were obtained at 1 month (obtained in 27% of survivors) and blood samples at 6 months (obtained in 19% of survivors). Centralized follow-up interviews sought to quantify patients' postdischarge care and outcomes, with a focus on their health status (symptoms, function, and quality of life). At 1, 6, and 12 months, 23%, 27%, and 24%, respectively, were lost to follow-up. Vital status was available for 99% of patients at 12 months.Conclusions: TRIUMPH is a novel MI registry with detailed information on patients' sociodemographic, clinical, treatment, health status, metabolic, and genetic characteristics. The wealth of patient data collected in TRIUMPH will provide unique opportunities to examine factors that may mediate racial differences in mortality and health status after MI and the complex interactions between genetic and environmental determinants of post-MI outcomes. [ABSTRACT FROM AUTHOR]

The article highlights the unfavorable future quality of life assessment for patients with heart failure. Data from the Kansas City Cardiomyopathy Questionnaire was used by the authors to identify the factors associated with 6-month mortality and additional data was derived from the Efficacy of Vasopressin Antagonism in HF Outcome Study with Tolvaptan (EVEREST). The authors say patients who were found to be at high risk for unfavorable QoL should be educated about his options before discharge.

Background: The quality and effectiveness of resuscitation processes may be influenced by the patient's body mass index (BMI); however, the relationship between BMI and survival after in-hospital cardiac arrest has not been previously studied.Methods and Results: We evaluated 21 237 adult patients with an in-hospital cardiac arrest within the National Registry for Cardiopulmonary Resuscitation (NRCPR). We examined the association between BMI (classified as underweight [<18.5 kg/m(2)], normal [18.5 to 24.9 kg/m(2)], overweight [25.0 to 29.9 kg/m(2)], obese [30.0 to 34.9 kg/m(2)], and very obese [≥35.0 kg/m(2)]) and survival to hospital discharge using multivariable logistic regression, after stratifying arrests by rhythm type and adjusting for patient characteristics. Of 4499 patients with ventricular fibrillation or pulseless ventricular tachycardia as initial rhythm, 1825 (40.6%) survived to discharge. After multivariable adjustment, compared with overweight patients, underweight (odds ratio [OR], 0.59; 95% confidence interval [CI], 0.41 to 0.84; P=0.003), normal weight (OR, 0.75; 95% CI, 0.63 to 0.89; P<0.001), and very obese (OR, 0.78; 95% CI, 0.63 to 0.96; P=0.02) had lower rates of survival, whereas obese patients had similar rates of survival (OR, 0.87; 95% CI, 0.72 to 1.06; P=0.17). In contrast, of 16 738 patients with arrests caused by asystole or pulseless electric activity, only 2501 (14.9%) survived. After multivariable adjustment, all BMI groups had similar rates of survival except underweight patients (OR, 0.67; 95% CI, 0.54 to 0.82; P<0.001).Conclusions: For cardiac arrest caused by shockable rhythms, underweight, normal weight, and very obese patients had lower rates of survival to discharge. In contrast, for cardiac arrest caused by nonshockable rhythms, survival to discharge was similar across BMI groups except for underweight patients. Future studies are needed to clarify the extent to which BMI affects the quality and effectiveness of resuscitation measures. [ABSTRACT FROM AUTHOR]

Background: Although bivalirudin compared with unfractionated heparin with glycoprotein IIb/IIIa inhibitors reduces bleeding and hospitalization costs in patients undergoing percutaneous coronary intervention (PCI), little is known about the economic impact of bivalirudin versus heparin alone and at what threshold of procedural bleeding risk bivalirudin would be considered cost-effective.Methods and Results: A validated model was used to predict risk of major bleeding for 81,628 National Cardiovascular Data Registry (NCDR) CathPCI Registry patients from 2004 to 2006 who received unfractionated heparin only. Costs were derived from multiple sources including wholesale acquisition costs (for drugs) and single-center data (for PCI-related complications). Based on ISAR-REACT 3, we assumed that bivalirudin would reduce the risk of major bleeding by 33% compared with unfractionated heparin alone. A Markov model was used to estimate lost life expectancy associated with a major bleed. Major bleeding was predicted to occur in 2.2% of patients. Bivalirudin for all patients was estimated to increase costs by $571 per patient, yielding cost-effectiveness ratios of $287,473 per bleeding event averted and $1,173,360 per quality-adjusted life-year gained. Bivalirudin was cost saving for patients with a predicted bleeding risk >20% (0.16% of CathPCI population). At willingness-to-pay thresholds of $50K and $100K per quality-adjusted life-year gained, bivalirudin was cost-effective for patients with a bleeding risk > or = 8% (2.5% patients) and > or = 5% (7.9% patients), respectively.Conclusions: This decision-analytic modeling study demonstrates that for patients undergoing PCI, substitution of bivalirudin for unfractionated heparin monotherapy is projected to increase costs for virtually all patients and would be considered cost-effective for only a minority of patients with a high bleeding risk. From a policy standpoint, studies such as this, aimed at identifying the appropriate risk threshold for initiating treatment, may help in the development of informed guidelines for the use of expensive therapies. [ABSTRACT FROM AUTHOR]

Background: Among patients with acute myocardial infarction (AMI), depression is both common and underrecognized. The association of different manifestations of depression, somatic and cognitive, with depression recognition and long-term prognosis is poorly understood.Methods and Results: Depression was confirmed in 481 AMI patients enrolled from 21 sites during their index hospitalization with a Patient Health Questionnaire (PHQ-9) score > or =10. Within the PHQ-9, separate somatic and cognitive symptom scores were derived, and the independent association between these domains and the clinical recognition of depression, as documented in the medical records, was evaluated. In a separate multisite AMI registry of 2347 patients, the association between somatic and cognitive depressive symptoms and 4-year all-cause mortality and 1-year all-cause rehospitalization was evaluated. Depression was clinically recognized in 29% (n=140) of patients. Cognitive depressive symptoms (relative risk per SD increase, 1.14; 95% CI, 1.03 to 1.26; P=0.01) were independently associated with depression recognition, whereas the association for somatic symptoms and recognition (relative risk, 1.04; 95% CI, 0.87 to 1.26; P=0.66) was not significant. However, unadjusted Cox regression analyses found that only somatic depressive symptoms were associated with 4-year mortality (hazard ratio [HR] per SD increase, 1.22; 95% CI, 1.08 to 1.39) or 1-year rehospitalization (HR, 1.22; 95% CI, 1.11 to 1.33), whereas cognitive manifestations were not (HR for mortality, 1.01; 95% CI, 0.89 to 1.14; HR for rehospitalization, 1.01; 95% CI, 0.93 to 1.11). After multivariable adjustment, the association between somatic symptoms and rehospitalization persisted (HR, 1.16; 95% CI, 1.06 to 1.27; P=0.01) but was attenuated for mortality (HR, 1.07; 95% CI, 0.94 to 1.21; P=0.30).Conclusions: Depression after AMI was recognized in fewer than 1 in 3 patients. Although cognitive symptoms were associated with recognition of depression, somatic symptoms were associated with long-term outcomes. Comprehensive screening and treatment of both somatic and cognitive symptoms may be necessary to optimize depression recognition and treatment in AMI patients. [ABSTRACT FROM AUTHOR]

The article presents a study on the economic impact of angina in patients with coronary artery disease based on the premise that the disease worsens the patients' quality of life. The study resulted in cost estimates to provide a framework for clarifying the economic implications of future therapies which include costs of rehospitalization and medication and to determine which patients may benefit from intensive disease management.

The article presents a study on the role of age and medical comorbidity on the effectiveness of implantable cardioverter-defibrillators (ICD). 965 patients with ischemic and nonischemic etiology for at least 3 months were enrolled in seven outpatient cardiology clinics from March 2001 to June 2005. It suggests that older patients have comparable mortality risk and cost-effectiveness with ICD therapy when compared with its use on younger patients and suggests that these older patients should be considered for ICD implantation.

Background: Survival outcomes following in-hospital cardiac arrest vary significantly across hospitals. Research suggests clinician education and training may play a role. We sought to identify best practices related to the education and training of resuscitation teams.Methods: We conducted a descriptive qualitative analysis of semistructured interview data obtained from in-depth site visits conducted from 2016 to 2017 at 9 diverse hospitals within the American Heart Association "Get With The Guidelines" registry, selected based on in-hospital cardiac arrest survival performance (5 top-, 1 middle-, 3 low-performing). We assessed coded data related to education and training including systems learning, informal feedback and debrief, and formal learning through advanced cardiopulmonary life support and mock codes. Thematic analysis was used to identify best practices.Results: In total, 129 interviews were conducted with a variety of hospital staff including nurses, chaplains, security guards, respiratory therapists, physicians, pharmacists, and administrators, yielding 78 hours and 29 minutes of interview time. Four themes related to training and education were identified: engagement, clear communication, consistency, and responsive leadership. Top-performing hospitals encouraged employee engagement with creative marketing of new programs and prioritizing hands-on learning over passive didactics. Clear communication was accomplished with debriefing, structured institutional review, and continual, frequent education for departments. Consistency was a cornerstone to culture change and was achieved with uniform policies for simulation practice as well as reinforced, routine practice (weekly, monthly, quarterly). Finally, top-performing hospitals had responsive leadership teams across multiple disciplines (nursing, respiratory therapy, pharmacy and medicine), who listened and adapted programs to fit the needs of their staff.Conclusions: Among top-performing hospitals excelling in in-hospital cardiac arrest survival, we identified core elements for education and training of resuscitation teams. Developing tools to expand these areas for hospitals may improve in-hospital cardiac arrest outcomes. [ABSTRACT FROM AUTHOR]

Background Identifying actionable resuscitation practices that vary across hospitals could improve adherence to process measures or outcomes after in-hospital cardiac arrest (IHCA). We sought to examine whether hospital debriefing frequency after IHCA varies across hospitals and whether hospitals which routinely perform debriefing have higher rates of process-of-care compliance or survival. Methods We conducted a nationwide survey of hospital resuscitation practices in April of 2018, which were then linked to data from the Get With The Guidelines-Resuscitation national registry for IHCA. Hospitals were categorized according to their reported frequency of debriefing immediately after IHCA; rarely (0%-20% of all IHCA cases), occasionally (21%-80%), and frequently (81%-100%). Hospital-level rates of timely defibrillation (≤2 minutes), epinephrine administration (≤5 minutes), survival to discharge, return of spontaneous circulation, and neurologically intact survival were comparted for patients with IHCA from 2015 to 2017. Results Overall, there were 193 hospitals comprising 44 477 IHCA events. Mean patient age was 65±16, 41% were females, and 68% were of White race. Across hospitals, 84 (43.5%) rarely performed debriefings immediately after an IHCA, 82 (42.5%) performed debriefing sessions occasionally, and 27 (14.0%) performed debriefing frequently. There was no association between higher reported debriefing frequency and hospital rates of timely defibrillation and epinephrine administration. Mean hospital rates of risk-standardized survival to discharge were similar across debriefing frequency groups (rarely 25.6%; occasionally 26.0%; frequently 25.2%, P=0.72), as were hospital rates of risk-adjusted return of spontaneous circulation (rarely 72.2%; occasionally 73.0%; frequently 70.0%, P=0.06) and neurologically intact survival (rarely 21.9%, occasionally 22.2%, frequently 21.1%, P=0.75). Conclusions In a large contemporary nationwide quality improvement registry, hospitals varied widely in how often they conducted debriefings immediately after IHCA. However, hospital debriefing frequency was not associated with better adherence to timely delivery of epinephrine or defibrillation or higher rates of IHCA survival. [ABSTRACT FROM AUTHOR]

Background: A hospital's risk-standardized survival rate (RSSR) for in-hospital cardiac arrest has emerged as an important metric to benchmark and incentivize hospital resuscitation quality. We examined whether hospital performance on the RSSR metric was stable or dynamic year-over-year and whether low-performing hospitals were able to improve survival outcomes over time.Methods and Results: We used data from 84 089 adult patients with an in-hospital cardiac arrest from 166 hospitals with continuous participation in Get With The Guidelines-Resuscitation from 2012 to 2017. A 2-level hierarchical regression model was used to compute RSSRs during a baseline (2012-2013) and two follow-up periods (2014-2015 and 2016-2017). At baseline, hospitals were classified as top-, middle-, and bottom-performing if they ranked in the top 25%, middle 50%, and bottom 25%, respectively, on their RSSR metric during 2012 to 2013. We compared hospital performance on RSSR during follow-up between top, middle, and bottom-performing hospitals' at baseline. During 2012 to 2013, 42 hospitals were identified as top-performing (median RSSR, 31.7%), 82 as middle-performing (median RSSR, 24.6%), and 42 as bottom-performing (median RSSR, 18.7%). During both follow-up periods, >70% of top-performing hospitals ranked in the top 50%, a substantial proportion remained in the top 25% of RSSR during 2014 to 2015 (54.6%) and 2016 to 2017 (40.4%) follow-up periods. Likewise, nearly 75% of bottom-performing hospitals remained in the bottom 50% during both follow-up periods, with 50.0% in the bottom 25% of RSSR during 2014 to 2015 and 40.5% in the bottom 25% during 2016 to 2017. While percentile rankings were generally consistent over time at ≈45% of study hospitals, ≈1 in 5 (21.4%) bottom-performing hospitals showed large improvement in percentile rankings over time and a similar proportion (23.7%) of top-performing hospitals showed large decline in percentile rankings compared with baseline.Conclusions: Hospital performance on RSSR during baseline period was generally consistent over 4 years of follow-up. However, 1 in 5 bottom-performing hospitals had large improvement in survival over time. Identifying care and quality improvement innovations at these sites may provide opportunities to improve in-hospital cardiac arrest care at other hospitals. [ABSTRACT FROM AUTHOR]

The coronavirus disease 2019 (COVID-19) outbreak is placing a considerable strain on U.S. healthcare systems by requiring both significant acute resources and endangering healthcare team members through airborne infection. Many U.S. healthcare systems are now considering how to treat COVID-19 patients who suffer cardiac arrest based on a presumption of poor survival after resuscitation in COVID-19 patients. However, empiric data on cardiac arrest survival in COVID-19 from the United States are not available at the moment. To inform this debate, we report survival data following cardiopulmonary resuscitation in a cohort of critically ill patients with pneumonia or sepsis who were receiving mechanical ventilation in an intensive care unit (ICU) at the time of arrest. [ABSTRACT FROM AUTHOR]

The surging COVID-19 pandemic has raised ethical and moral dilemmas that Western nations with first-rate medical care facilities rarely confront-how to best allocate standard life-saving medical resources when escalating demand outstrips supply. Sadly, these quandaries are familiar challenges in resource-poor countries. What makes this pandemic notable is that the scope and number of reported cases have been primarily in First World nations, raising questions in some settings about the use of emergency treatments like resuscitation care for in-hospital cardiac arrest (IHCA). This perspective reviews the debate around these ethical and moral dilemmas more broadly but focuses specifically on IHCA and the response of the medical community. [ABSTRACT FROM AUTHOR]

Supplemental Digital Content is available in the text. Background: Previous incidence estimates may no longer reflect the current public health burden of cardiac arrest in hospitalized adult and pediatric patients across the United States. The aim of this study was to estimate the contemporary annual incidence of in-hospital cardiac arrest in adults and children across the United States and to describe trends in incidence between 2008 and 2017. Methods and Results: Using the Get With The Guidelines–Resuscitation registry, we developed a negative binomial regression model to estimate the incidence of index pulseless in-hospital cardiac arrest based on hospital-level characteristics. The model was used to predict the number of in-hospital cardiac arrests in all US hospitals, using data from the American Hospital Association Annual Survey. We performed separate analyses for adult (≥18 years) and pediatric (<18 years) cardiac arrests. Additional analyses were performed for recurrent cardiac arrests and pediatric patients requiring cardiopulmonary resuscitation for poor perfusion (nonpulseless events). The average annual incidence of in-hospital cardiac arrest in the United States was estimated at 292 000 (95% prediction interval, 217 600–503 500) adult and 15 200 pediatric cases, of which 7100 (95% prediction interval, 4400–9900) cases were pulseless cardiac arrests and 8100 (95% prediction interval, 4700–11 500) cases were nonpulseless events. The rate of adult cardiac arrests increased over time, while pediatric events remained more stable. When including both index and recurrent in-hospital cardiac arrests, the average annual incidence was estimated at 357 900 (95% prediction interval, 247 100–598 400) adult and 19 900 pediatric cases, of which 8300 (95% prediction interval, 4900–11 200) cases were pulseless cardiac arrests and 11 600 (95% prediction interval, 6400–16 700) cases were nonpulseless events. Conclusions: There are ≈292 000 adult in-hospital cardiac arrests and 15 200 pediatric in-hospital events in the United States each year. This study provides contemporary estimates of the public health burden of cardiac arrest among hospitalized patients. [ABSTRACT FROM AUTHOR]

Background The Atrial Fibrillation Effect on Quality-of-Life (AFEQT) questionnaire has recently been validated to measure the impact of atrial fibrillation on quality of life, but a clinically important difference in AFEQT score has not been well defined. Methods and Results To determine the clinically important difference in overall AFEQT (score range= 0 [worst] to 100 [best]) and selected subscales, we analyzed data in the Outcomes Registry for Better Informed Treatment of Atrial Fibrillation (ORBIT-AF) registry, a United States-based outpatient atrial fibrillation registry. AFEQT was assessed at baseline and 1 year in a subset of 1347 ORBIT-AF patients from 80 US sites participating in ORBIT-AF from June 2010 to August 2011. The mean change method was used to relate changes in 1-year AFEQT scores to clinically important changes in the physician assessment of European Heart Rhythm Association functional status (1 class improvement and separately 1 class deterioration). Clinically important differences and 95% CI corresponding to either a 1 European Heart Rhythm Association class improvement or deterioration were 5.4 (3.6-7.2) and -4.2 (-6.9 to -1.5) AFEQT points, respectively. Similarly, clinically important difference values were seen for a 1 European Heart Rhythm Association class improvement for the AFEQT subscales Activities of Daily Living and Symptoms: 5.1 (2.5-7.6) and 7.1 (5.3-9.0) AFEQT points, respectively. Conclusions Based on the anchor of 1 European Heart Rhythm Association class change, changes in AFEQT score of + or -5 points are clinically important changes in patients' health. Clinical Trial Registration URL: https://clinicaltrials.gov . Unique identifier: NCT01165710. [ABSTRACT FROM AUTHOR]

Background: Long-term exposure to particulate matter <2.5 µm in diameter (PM2.5) and ozone has been associated with the development and progression of cardiovascular disease and, in the case of PM2.5, higher cardiovascular mortality. Whether exposure to PM2.5 and ozone is associated with patients' health status and quality of life is unknown. We used data from 2 prospective myocardial infarction (MI) registries to assess the relationship between long-term PM2.5 and ozone exposure with health status outcomes 1 year after an MI.Methods and Results: TRIUMPH (Translational Research Investigating Underlying Disparities in Acute Myocardial Infarction) and PREMIER (Prospective Registry Evaluating Myocardial Infarction: Events and Recovery) enrolled patients presenting with MI at 31 US hospitals between 2003 and 2008. One year later, patients were assessed with the disease-specific Seattle Angina Questionnaire, and 5-year mortality was assessed with the Centers for Disease Control's National Death Index. Individual patients' exposures to PM2.5 and ozone over the year after their MI were estimated from the Environment Protection Agency's Fused Air Quality Surface Using Downscaling tool that integrates monitoring station data and atmospheric models to predict daily air pollution exposure at the census tract level. We assessed the association of exposure to ozone and PM2.5 with 1-year health status and mortality over 5 years using regression models adjusting for age, sex, race, socioeconomic status, date of enrollment, and comorbidities. In completely adjusted models, higher PM2.5 and ozone exposure were independently associated with poorer Seattle Angina Questionnaire summary scores at 1-year (β estimate per +1 SD increase =-0.8 [95% CI, -1.4 to -0.3; P=0.002] for PM2.5 and -0.9 [95% CI, -1.3 to -0.4; P<0.001] for ozone). Moreover, higher PM2.5 exposure, but not ozone, was independently associated with greater mortality risk (hazard ratio =1.13 per +1 SD [95% CI, 1.07-1.20; P<0.001]).Conclusions: In our study, greater exposure to PM2.5 and ozone was associated with poorer 1-year health status following an MI, and PM2.5 was associated with increased risk of 5-year death. [ABSTRACT FROM AUTHOR]

Background Hospitals participating in the national Get With The Guidelines-Resuscitation registry receive an award for high rates of adherence to quality metrics for in-hospital cardiac arrest. We sought to evaluate whether awards based on these quality metrics can be considered a proxy for performance on cardiac arrest survival. Methods and Results Among 195 hospitals with continuous participation in Get With The Guidelines-Resuscitation between 2012 and 2015, we identified 78 that received an award (Gold or Silver) for ≥85% compliance for all 4 metrics for in-hospital cardiac arrest-time to chest compressions, ≤1 minute; time to defibrillation, ≤2 minutes; device confirmation of endotracheal tube placement; and a monitored/witnessed arrest-for at least 12 consecutive months during 2014 to 2015. Award hospitals had higher cardiac arrest volumes than nonaward hospitals but otherwise had similar site characteristics. During 2014 to 2015, award hospitals had higher rates of return of spontaneous circulation for in-hospital cardiac arrest than nonaward hospitals (median [interquartile range], 71% [64%-77%] versus 66% [59%-74%]; Spearman ρ, 0.19; P=0.009). However, rates of risk-standardized survival to discharge at award hospitals (median, 25% [interquartile range, 22%-30%]) were similar to nonaward hospitals (median, 24% [interquartile range, 12%-27%]; Spearman ρ, 0.13; P=0.06). Among hospitals in the best tertile for survival to discharge in 2014 to 2015, 55.4% (36/65) did not receive an award, with poor discrimination of high-performing hospitals by award status (C statistic, 0.53). Similarly, there was only a weak association between hospitals' award status in 2014 to 2015 and their rates of survival to discharge in the preceding 2-year period (Spearman ρ, 0.16; P=0.03). Conclusions The current recognition mechanism within a national registry for in-hospital cardiac arrest captures hospital performance on return of spontaneous circulation but is not well correlated with survival to discharge. This suggests that current awards for resuscitation quality may not adequately capture hospital performance on overall survival-the outcome of greatest interest to patients. [ABSTRACT FROM AUTHOR]

Background: Despite a high cardiovascular disease burden, data on patient-reported health status outcomes among individuals with cardiovascular disease in India are limited.Methods and Results: Between November 2014 and November 2016, we collected health-related quality of life data among 1261 participants in the ACS QUIK trial (Acute Coronary Syndrome Quality Improvement in Kerala). We used a translated, validated version of the Seattle Angina Questionnaire administered 30 days after discharge for acute myocardial infarction, wherein higher scores represent better health status. We compared results across sex, myocardial infarction type, and randomization status using regression models that account for clustering and temporal trends. Mean (SD) age was 60.8 (13.7) years, 62% were men, and 63% presented with ST-segment-elevation myocardial infarction. More than 2 out of 5 respondents (44%) experienced angina 30 days after hospitalization, but most (68% of respondents with angina; 27% of the total sample) experienced it less than once per week (Seattle Angina Questionnaire angina frequency score 60). Respondents rated high median (interquartile range [IQR]) scores for angina frequency (100.0 [80.0-100.0]) overall with similar unadjusted scores by sex, but between-hospitality variability was high. Median (IQR) physical limitation scale response was 58.3 (41.7-77.8), which is consistent with limitations in moderate- and high-intensity activities at 30-day follow-up. Older respondents had more angina frequency and physical limitations and lower treatment satisfaction and quality of life. Women had greater physical limitations (median [IQR], 52.8 [38.9-72.2] for women versus median [IQR], 61.1 [44.4-80.6] for men; P<0.01). Overall treatment satisfaction was high with median (IQR) score, 81.3 (75.0-93.8), but overall quality of life was lower with median (IQR) score, 66.7 (50.0-83.3). Allocation to the quality improvement intervention group had the strongest direct association with higher quality of life (difference, 4.2; P=0.03), but overall effects were modest.Conclusions: This study represents the largest report of quality of life among myocardial infarction survivors in India with variability across age, sex, and quality improvement intervention status. Wide variability demonstrated across hospitals warrants further study.Clinical Trial Registration: URL: https://www.clinicaltrials.gov . Unique identifier: NCT02256657. [ABSTRACT FROM AUTHOR]

Background Targeted temperature management (TTM) for out-of-hospital cardiac arrest is associated with improved functional survival and is a class I recommendation in resuscitation guidelines. However, patterns of utilization of TTM and adherence to recommended TTM guidelines in contemporary practice are unknown. Methods and Results In a multicenter, prospective cohort of consecutive adults with non-traumatic out-of-hospital cardiac arrest in the Resuscitation Outcomes Consortium in 2012 to 2015, we identified all adults (≥18 years) who were potential candidates for TTM. Of 37 898 out-of-hospital cardiac arrest patients at 186 hospitals across 10 Resuscitation Outcomes Consortium sites, 8313 survived for ≥4 hours after hospital arrival, of which, 2878 (34.6%) received TTM. Mean age was 61.5 years and 36.3% were women. Median hospital rate of TTM use was 27% (interquartile range [IQR]: 14%, 45%), with an over 2-fold difference across sites after accounting for differences in presentation characteristics (median odds ratio, 2.10 [1.83-2.26]). Notably, TTM utilization decreased during the study period (57.5% [2012] to 26.5% [2015], P<0.001) including among shockable out-of-hospital cardiac arrest (73.4% to 46.3%, P<0.001). When administered, the median rate of deviation from one or more recommended practices was 60% (IQR: 40%, 78%). The median rate for delayed onset of TTM was 13% (IQR: 0%, 25%), varying by 70% for identical patients across 2 randomly chosen hospitals (median odds ratio 1.70 [1.39-1.97]). Similarly, the median rate for TTM <24 hours was 20% (IQR: 0%, 34%) and for achieved temperature <32°C was 18% (IQR: 0%, 39%), with marked variation across sites (median odds ratios of 1.44 [1.18-1.64] and 1.98 [1.62-2.31], respectively). Conclusions There has been a substantial decline in the utilization of TTM with significant variation in its real-world implementation. Further standardization of contemporary post-resuscitation practices, like TTM, is critical to ensure that their potential survival benefit is realized. [ABSTRACT FROM AUTHOR]

Background: Although previous studies have shown marked variation in out-ofhospital cardiac arrest survival across U.S. regions, factors underlying this variation in survival remain unknown. Methods & Results: Using 2005-2013 data from the Cardiac Arrest Registry to Enhance Survival (CARES), we identified 88,305 adult patients (age >18 years) in 107 U.S. counties with out-of-hospital cardiac arrest at home or in a public location, and geo-coded them to a U.S. county using the address where cardiac arrest occurred We constructed a two-level hierarchical regression model (patient & county) and used median odds ratios (MOR) to quantify regional variation in outof- hospital cardiac arrest survival. Moreover, we examined the proportion of variation in survival that was explained by 1) patient demographics 2) cardiac arrest characteristics 3) county-level rates of bystander cardiopulmonary resuscitation (CPR) and hypothermia treatment and 4) county-level socio-demographic factors. The mean rate of survival to discharge was 10.0%, and varied markedly across counties (range: 1.4%-18.4%, MOR: 1.33; 95% CI: 1.24-1.38, Figure 1). Compared to counties in the lowest quartile of survival, patients in the highest quartile counties were younger (62.5 vs 61.6 years), more likely to be men (60.8% vs 64.4%), have a shockable rhythm (21.1% vs 26.9%), witnessed arrest (50.3% vs 53.0%), receive bystander CPR (23.4% vs 32.6%), and hypothermia (44.4% vs 62.3%, P for trend < 0.01 for all). County-level rates of survival were positively correlated with rates of bystander CPR (ρ = 0.45, P < 0.0001) and hypothermia treatment (ρ = 0.24, P < 0.0001). Sequential adjustment of demographic and cardiac arrest characteristics explained only 4.3% and 12.4% of the county-level variation in survival, respectively. Inclusion of county-level rates of bystander CPR and hypothermia explained a total of 28.5% of the survival variation, and this proportion increased to 36% after adjustment of other county-level factors. Conclusion: There is substantial variation in out-of-hospital cardiac arrest survival across U.S. counties. Although a large proportion of survival variation was unexplained, most of the variation that could be accounted for was due to countylevel differences in rates of bystander CPR and hypothermia treatment. [ABSTRACT FROM AUTHOR]