Temporal trends and hospital-level variation of inhospital cardiac arrest incidence and outcomes in the Veterans Health Administration.
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ABSTRACT:
SUBMITTER: Bradley SM
PROVIDER: S-EPMC6312852 | biostudies-literature | 2017 Nov
REPOSITORIES: biostudies-literature
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Temporal trends and hospital-level variation of inhospital cardiac arrest incidence and outcomes in the Veterans Health Administration.
Bradley Steven M SM Kaboli Peter P Kamphuis Lee A LA Chan Paul S PS Iwashyna Theodore J TJ Nallamothu Brahmajee K BK
American heart journal 20170807
<h4>Background</h4>Despite significant attention to resuscitation care by hospitals, national data on trends in the incidence and survival of patients with inhospital cardiac arrest (IHCA) are limited.<h4>Objective</h4>To determine trends and hospital-level variation in the incidence and outcomes associated with IHCA. In exploratory analyses, we evaluated the relationship between hospital-level IHCA incidence and outcomes with general hospital-wide quality improvement activities.<h4>Design, sett ...[more]
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Project description:ImportanceIt is unclear whether antimicrobial timing for sepsis has changed outside of performance incentive initiatives.ObjectiveTo examine temporal trends and variation in time-to-antibiotics for sepsis in the US Department of Veterans Affairs (VA) health care system.Design, setting, and participantsThis observational cohort study included 130 VA hospitals from 2013 to 2018. Participants included all patients admitted to the hospital via the emergency department with sepsis from 2013 to 2018, using a definition adapted from the Centers for Disease Control and Prevention Adult Sepsis Event definition, which requires evidence of suspected infection, acute organ dysfunction, and systemic antimicrobial therapy within 12 hours of presentation. Data were analyzed from October 6, 2020, to July 1, 2021.ExposuresTime from presentation to antibiotic administration.Main outcomes and measuresThe main outcome was differences in time-to-antibiotics across study periods, hospitals, and patient subgroups defined by presenting temperature and blood pressure. Temporal trends in time-to-antibiotics were measured overall and by subgroups. Hospital-level variation in time-to-antibiotics was quantified after adjusting for differences in patient characteristics using multilevel linear regression models.ResultsA total of 111 385 hospitalizations for sepsis were identified, including 107 547 men (96.6%) men and 3838 women (3.4%) with a median (interquartile range [IQR]) age of 68 (62-77) years. A total of 7574 patients (6.8%) died in the hospital, and 13 855 patients (12.4%) died within 30 days. Median (IQR) time-to-antibiotics was 3.9 (2.4-6.5) hours but differed by presenting characteristics. Unadjusted median (IQR) time-to-antibiotics decreased over time, from 4.5 (2.7-7.1) hours during 2013 to 2014 to 3.5 (2.2-5.9) hours during 2017 to 2018 (P < .001). In multilevel models adjusted for patient characteristics, median time-to-antibiotics declined by 9.0 (95% CI, 8.8-9.2) minutes per calendar year. Temporal trends in time-to-antibiotics were similar across patient subgroups, but hospitals with faster baseline time-to-antibiotics had less change over time, with hospitals in the slowest tertile decreasing time-to-antibiotics by 16.6 minutes (23.1%) per year, while hospitals in the fastest tertile decreased time-to-antibiotics by 7.2 minutes (13.1%) per year. In the most recent years (2017-2018), median time-to-antibiotics ranged from 3.1 to 6.7 hours across hospitals (after adjustment for patient characteristics), 6.8% of variation in time-to-antibiotics was explained at the hospital level, and odds of receiving antibiotics within 3 hours increased by 65% (95% CI, 56%-77%) for the median patient if moving to a hospital with faster time-to-antibiotics.Conclusions and relevanceThis cohort study across nationwide VA hospitals found that time-to-antibiotics for sepsis has declined over time. However, there remains significant variability in time-to-antibiotics not explained by patient characteristics, suggesting potential unwarranted practice variation in sepsis treatment. Efforts to further accelerate time-to-antibiotics must be weighed against risks of overtreatment.
| S-EPMC8424480 | biostudies-literature
Project description:Despite concerns about mineralocorticoid receptor antagonist therapies (MRAs) underuse and misuse in patients with heart failure, temporal and institutional variations of MRA prescription have not been reported.We studied a national sample of veterans hospitalized for heart failure between 2003 and 2009 and left ventricular ejection fraction <40%. We identified ideal and non-ideal candidates for MRA therapy based on American College of Cardiology/American Heart Association guidelines. We measured temporal trends and hospital variation of MRA prescriptions within 90 days after discharge. We determined the median odds ratio (MOR), a measure of the relative odds of an MRA prescription for 2 individuals with similar characteristics discharged at 2 randomly selected hospitals. From 37 126 patients (n=131 hospitals), 9355 were ideal-MRA candidates, and 4056 were non-ideal candidates. Among ideal candidates, 36% received an MRA, but there was a decline in use (41% in 2003 to 31% in 2009, P<0.001). Of non-ideal candidates, 27% received an MRA with a decline in use (34% in 2003 to 22% in 2009, P<0.001). Hospital MRA prescription ranged from 0% to 71% for ideal candidates and 0% to 100% for non-ideal candidates. The median odds ratios of MRA prescription for ideal and non-ideal candidates were 1.44 and 1.36, respectively; a median odds ratio >1.2 indicates significant practice-level variation.There was decreasing MRA use between 2003 and 2009 with wide institutional variation in MRA prescription, which suggests opportunities for improvement to stimulate MRA use in ideal candidates while further reducing use in those with contraindications.
| S-EPMC4845296 | biostudies-other
Project description:BackgroundDuring the past decade, survival after in-hospital cardiac arrest has improved markedly. It remains unknown whether the improvement in survival has occurred uniformly at all hospitals or was driven by large improvements at only a few hospitals.Methods and resultsWe identified 93 342 adults with an in-hospital cardiac arrest at 231 hospitals in the Get With The Guidelines(®)-Resuscitation registry during 2000-2010. Using hierarchical regression models, we evaluated hospital-level trends in survival to discharge. Mean age was 66 years, 59% were men, and 21% were black. Between 2000 and 2010, there was a significant decrease in age, prevalence of heart failure and myocardial infarction, and cardiac arrests due to shockable rhythms (P<0.001 for all) and an increase in prevalence of sepsis, respiratory insufficiency, renal insufficiency, intensive care unit location, and mechanical ventilation before arrest (P<0.001 for all). After adjustment for temporal trends in baseline characteristics, hospital rates of in-hospital cardiac arrest survival improved by 7% per year (odds ratio [OR] 1.07, 95% CI 1.06 to 1.08, P<0.001). Improvement in survival varied markedly and ranged from 3% in the bottom hospital quartile to 11% in the top hospital quartile. Compared with minor teaching hospitals (OR 1.04, 95% CI 1.02 to 1.06), hospital rate of survival improvement was greater at major teaching (OR 1.08, 95% CI 1.06 to 1.10) and nonteaching hospitals (OR 1.07, 95% CI 1.05 to 1.09, P value for interaction=0.03).ConclusionAlthough in-hospital cardiac arrest survival has improved during the past decade, the magnitude of improvement varied across hospitals. Future studies are needed to identify hospital processes that have led to the largest improvement in survival.
| S-EPMC4309112 | biostudies-literature
Project description:OBJECTIVES:Clinical providers have access to a number of pharmacologic agents during in-hospital cardiac arrest. Few studies have explored medication administration patterns during in-hospital cardiac arrest. Herein, we examine trends in use of pharmacologic interventions during in-hospital cardiac arrest both over time and with respect to the American Heart Association Advanced Cardiac Life Support guideline updates. DESIGN:Observational cohort study. SETTING:Hospitals contributing data to the American Heart Association Get With The Guidelines-Resuscitation database between 2001 and 2016. PATIENTS:Adult in-hospital cardiac arrest patients. INTERVENTIONS:The percentage of patients receiving epinephrine, vasopressin, amiodarone, lidocaine, atropine, bicarbonate, calcium, magnesium, and dextrose each year were calculated in patients with shockable and nonshockable initial rhythms. Hierarchical multivariable logistic regression was used to determine the annual adjusted odds of medication administration. An interrupted time series analysis was performed to assess change in atropine use after the 2010 American Heart Association guideline update. MEASUREMENTS AND MAIN RESULTS:A total of 268,031 index in-hospital cardiac arrests were included. As compared to 2001, the adjusted odds ratio of receiving each medication in 2016 were epinephrine (adjusted odds ratio, 1.5; 95% CI, 1.3-1.8), vasopressin (adjusted odds ratio, 1.5; 95% CI, 1.1-2.1), amiodarone (adjusted odds ratio, 3.4; 95% CI, 2.9-4.0), lidocaine (adjusted odds ratio, 0.2; 95% CI, 0.2-0.2), atropine (adjusted odds ratio, 0.07; 95% CI, 0.06-0.08), bicarbonate (adjusted odds ratio, 2.0; 95% CI, 1.8-2.3), calcium (adjusted odds ratio, 2.0; 95% CI, 1.7-2.3), magnesium (adjusted odds ratio, 2.2; 95% CI, 1.9-2.7; p < 0.0001), and dextrose (adjusted odds ratio, 2.8; 95% CI, 2.3-3.4). Following the 2010 American Heart Association guideline update, there was a downward step change in the intercept and slope change in atropine use (p < 0.0001). CONCLUSIONS:Prescribing patterns during in-hospital cardiac arrest have changed significantly over time. Changes to American Heart Association Advanced Cardiac Life Support guidelines have had a rapid and substantial effect on the use of a number of commonly used in-hospital cardiac arrest medications.
| S-EPMC6336500 | biostudies-literature
Project description:ImportanceLower extremity amputation (LEA) is associated with significant morbidity and mortality. However, national temporal trends of LEA incidence rates among US veterans and associated factors have not been well characterized.ObjectiveTo describe the temporal trends of LEA, characterize associated risk factors, and decompose the associations of these risk factors with changes in temporal trends of LEA among US veterans using Department of Veteran Affairs (VA) services between 2008 and 2018.Design, setting, and participantsThis cohort study used VA data from 2008 to 2018 to estimate incidence rates of LEA among veterans using VA services. Cox regression models were used to identify risk factors associated with LEA. Decomposition analyses estimated the associations of changes in prevalence of risk factors with changes in LEA rates. Data were analyzed from October 1, 2007, to September 30, 2018.Main outcomes and measuresToe, transmetatarsal, below-knee, or above-knee LEA.ResultsA total of 6 493 141 veterans were included (median [interquartile range] age, 64 [54-76] years; 6 060 390 [93.4%] men). Veterans were studied for a median (interquartile range) of 10.9 (5.6-11.0) years. Between 2008 and 2018, rates of LEA increased from 12.89 (95% CI, 12.53-13.25) LEA per 10 000 persons to 18.12 (95% CI, 17.70-18.54) LEA per 10 000 persons, representing a net increase of 5.23 (95% CI, 4.68-5.78) LEA per 10 000 persons. Between 2008 and 2018, toe amputation rates increased by 3.24 (2.89-3.59) amputations per 10 000 persons, accounting for 62.0% of the total increase in LEA rates. Transmetatarsal amputations increased by 1.54 (95% CI, 1.27-1.81) amputations per 10 000 persons; below-knee amputation rates increased by 0.81 (95% CI, 0.56-1.05) amputations per 10 000 persons; and above-knee amputation rates decreased by 0.37 (95% CI, 0.14-0.59) amputations per 10 000 persons. Compared with men, women had decreased risk of any LEA (hazard ratio [HR], 0.34 [95% CI, 0.31-0.37]). Factors associated with increased risk of any LEA included Black race (HR, 1.25 [95% CI, 1.21-1.28]) or another non-White race (ie, Asian, Latino, or other; HR, 2.36 [95% CI, 2.30-2.42]), obesity (HR, 1.59 [95% CI, 1.55-1.63]), diabetes (HR, 6.38 [95% CI, 6.22-6.54]), chronic kidney disease (CKD; eg, CKD stage 5: HR, 3.94 [95% CI, 3.22-4.83]), and smoking status (eg, current smoking: HR, 1.97 [95% CI, 1.92-2.03]). Decomposition analyses suggested that while changes in demographic composition, primarily driven by increased proportion of women veterans, associated with a decrease of 0.18 (95% CI, 0.14-0.22) LEA per 10 000 persons, and decreases in smoking rates, associated with a decrease of 0.88 (95% CI, 0.79-0.97) LEA per 10 000 persons. However, these were overwhelmed by increased rates of diabetes, associated with an increase of 1.86 (95% CI, 1.72-1.99) LEA per 10 000 persons; peripheral arterial disease, associated with an increase of 1.53 (95% CI, 1.41-1.65) LEA per 10 000 persons; CKD, associated with an increase of 1.45 (95% CI, 1.33-1.57) LEA per 10 000 persons; and other clinical factors, including body mass index, cancer, cardiovascular disease, cerebrovascular disease, chronic lung disease, dementia, and hypertension, associated with an increase of 1.45 (95% CI, 1.33-1.57) LEA per 10 000 persons.Conclusions and relevanceThis cohort study found that incidence rates of LEA among veterans using VA services increased between 2008 and 2018. Efforts aimed at reducing burden of LEA should target the reduction of diabetes, peripheral arterial disease, and CKD at the individual and population levels.
| S-EPMC7823225 | biostudies-literature
Project description:ImportanceDespite evidence that therapeutic hypothermia improves patient outcomes for out-of-hospital cardiac arrest, use of this therapy remains low.ObjectiveTo determine whether the use of therapeutic hypothermia and patient outcomes have changed after publication of the Targeted Temperature Management trial on December 5, 2013, which supported more lenient temperature management for out-of-hospital cardiac arrest.Design, setting, and participantsA retrospective cohort was conducted between January 1, 2013, and December 31, 2016, of 45 935 US patients in the Cardiac Arrest Registry to Enhance Survival who experienced out-of-hospital cardiac arrest and survived to hospital admission.ExposuresCalendar time by quarter year.Main outcomes and measuresUse of therapeutic hypothermia and patient survival to hospital discharge.ResultsAmong 45 935 patients (17 515 women and 28 420 men; mean [SD] age, 59.3 [18.3] years) who experienced out-of-hospital cardiac arrest and survived to admission at 649 US hospitals, overall use of therapeutic hypothermia during the study period was 46.4%. In unadjusted analyses, the use of therapeutic hypothermia dropped from 52.5% in the last quarter of 2013 to 46.0% in the first quarter of 2014 after the December 2013 publication of the Targeted Temperature Management trial. Use of therapeutic hypothermia remained at or below 46.5% through 2016. In segmented hierarchical logistic regression analysis, the risk-adjusted odds of use of therapeutic hypothermia was 18% lower in the first quarter of 2014 compared with the last quarter of 2013 (odds ratio, 0.82; 95% CI, 0.71-0.94; P = .006). Similar point-estimate changes over time were observed in analyses stratified by presenting rhythm of ventricular tachycardia or ventricular fibrillation (odds ratio, 0.89; 95% CI, 0.71-1.13, P = .35) and pulseless electrical activity or asystole (odds ratio, 0.75; 95% CI, 0.63-0.89; P = .001). Overall risk-adjusted patient survival was 36.9% in 2013, 37.5% in 2014, 34.8% in 2015, and 34.3% in 2016 (P < .001 for trend). In mediation analysis, temporal trends in use of hypothermia did not consistently explain trends in patient survival.Conclusions and relevanceIn a US registry of patients who experienced out-of-hospital cardiac arrest, the use of guideline-recommended therapeutic hypothermia decreased after publication of the Targeted Temperature Management trial, which supported more lenient temperature thresholds. Concurrent with this change, survival among patients admitted to the hospital decreased, but was not mediated by use of hypothermia.
| S-EPMC6324404 | biostudies-literature
Project description:BackgroundConsiderable effort has gone into improving outcomes from out-of-hospital cardiac arrest (OHCA). Studies suggest that survival is improving; however, prior studies had insufficient data to pursue the relationship between markers of guideline compliance and temporal trends. The objective of the study was to evaluate trends in OHCA survival over an 8-year period that included the implementation of the 2005 and 2010 international cardiopulmonary resuscitation (CPR) guidelines.Methods and resultsThis was a population-based cohort study of all consecutive treated OHCA patients of presumed cardiac cause between 2006 and 2013 in the City of Toronto, Canada, and surrounding regions. Temporal changes were measured by χ2 trend test. The association between year of the OHCA and survival was evaluated using logistic regression and joinpoint analysis. A total of 23 619 patients with OHCA met study inclusion criteria. During the study period, survival to hospital discharge doubled (4.8% in 2006 to 9.4% in 2013; P<0.0001), and survival with good neurological outcome increased (6.2% in 2010 to 8.5% in 2013; P=0.005). Improvements occurred in the rates of bystander CPR and automated external defibrillator application, high-quality CPR metrics, and in-hospital targeted temperature management. After adjusting for the Utstein variables, survival to hospital discharge (odds ratio, 1.12; 95% confidence interval, 1.09-1.15) and survival with good neurological outcome (odds ratio, 1.13; 95% confidence interval, 1.05-1.22) increased with each year of study.ConclusionsSurvival after OHCA has improved over time. This trend was associated with improved rates of bystander CPR, automated external defibrillator use, high-quality CPR metrics, and in-hospital targeted temperature management. The results suggest that multiple factors, each improving over time, may have contributed to the observed increase in survival.
| S-EPMC5791528 | biostudies-literature
Project description:AimsTo describe trends in pediatric in-hospital cardiac arrest drug administration and to assess temporal associations of the Pediatric Advanced Life Support (PALS) guideline changes with drug usage.MethodsPediatric patients <18 years old with in-hospital cardiac arrest recorded in the American Heart Association Get With The Guidelines-Resuscitation database between 2002 and 2018 were included. The annual adjusted odds of receiving each intra-arrest medication was determined. The association between changes in the PALS Guidelines and medication use over time was assessed interrupted time series analyses.ResultsA total of 6107 patients were analyzed. The adjusted odds of receiving lidocaine (0.33; 95% CI, 0.18, 0.61; p < 0.001), atropine (0.19; 95% CI 0.12, 0.30; p < 0.001) and bicarbonate (0.54; 95% CI 0.35, 0.86; p = 0.009) were lower in 2018 compared to 2002. For lidocaine, there were no significant changes in the step (-2.1%; 95% CI, -5.9%, 1.6%; p = 0.27) after the 2010 or 2015 (Step: -1.5%; 95% CI, -8.0%, 5.0; p = 0.65) guideline releases. There were no significant changes in the step for bicarbonate (-2.3%; 95% CI, -7.6%, 3.0%; p = 0.39) after the 2010 updates. For atropine, there was a downward step change after the 2010 guideline release (-5.9%; 95% CI, -10.5%, -1.3%; p = 0.01).ConclusionsChanges to the PALS guidelines for lidocaine and bicarbonate were not temporally associated with acute changes in the use of these medications; however, better alignment with these updates was observed over time. A minor update to the language surrounding atropine in the PALS text was associated with a modest acute change in the observed use of atropine. Future studies exploring other factors that influence prescribers in pediatric IHCA are needed.
| S-EPMC7851749 | biostudies-literature
Project description:OBJECTIVES:A growing number of patients survive sepsis hospitalizations each year and are at high risk for readmission. However, little is known about temporal trends in hospital-based acute care (emergency department treat-and-release visits and hospital readmission) after sepsis. Our primary objective was to measure temporal trends in sepsis survivorship and hospital-based acute care use in sepsis survivors. In addition, because readmissions after pneumonia are subject to penalty under the national readmission reduction program, we examined whether readmission rates declined after sepsis hospitalizations related to pneumonia. DESIGN AND SETTING:Retrospective, observational cohort study conducted within an academic healthcare system from 2010 to 2015. PATIENTS:We used three validated, claims-based approaches to identify 17,256 sepsis or severe sepsis hospitalizations to examine trends in hospital-based acute care after sepsis. INTERVENTIONS:None. MEASUREMENTS AND MAIN RESULTS:From 2010 to 2015, sepsis as a proportion of medical and surgical admissions increased from 3.9% to 9.4%, whereas in-hospital mortality rate for sepsis hospitalizations declined from 24.1% to 14.8%. As a result, the proportion of medical and surgical discharges at-risk for hospital readmission after sepsis increased from 2.7% to 7.8%. Over 6 years, 30-day hospital readmission rates declined modestly, from 26.4% in 2010 to 23.1% in 2015, driven largely by a decline in readmission rates among survivors of nonsevere sepsis, and nonpneumonia sepsis specifically, as the readmission rate of severe sepsis survivors was stable. The modest decline in 30-day readmission rates was offset by an increase in emergency department treat-and-release visits, from 2.8% in 2010 to a peak of 5.4% in 2014. CONCLUSIONS:Owing to increasing incidence and declining mortality, the number of sepsis survivors at risk for hospital readmission rose significantly between 2010 and 2015. The 30-day hospital readmission rates for sepsis declined modestly but were offset by a rise in emergency department treat-and-release visits.
| S-EPMC5896750 | biostudies-literature
Project description:ObjectiveOut-of-hospital cardiac arrest (OHCA) occurrence has been shown to exhibit a circadian rhythm, following the circadian rhythm of acute myocardial infarction (AMI) occurrence. Diabetes mellitus (DM) is associated with changes in circadian rhythm. We aimed to compare the temporal variation of OHCA occurrence over the day and week between OHCA patients with DM and those without.MethodsIn two population-based OHCA registries (Amsterdam Resuscitation Studies [ARREST] 2010-2016, n = 4163, and Danish Cardiac Arrest Registry [DANCAR], 2010-2014, n = 12,734), adults (≥18y) with presumed cardiac cause of OHCA and available medical history were included. Single and double cosinor analysis was performed to model circadian variation of OHCA occurrence. Stratified analysis of circadian variation was performed in patients with AMI as immediate cause of OHCA.ResultsDM patients (22.8% in ARREST, 24.2% in DANCAR) were older and more frequently had cardiovascular risk factors or previous cardiovascular disease. Both cohorts showed 24 h-rhythmicity, with significant amplitudes in single and double cosinor functions (P-range < 0.001). In both registries, a morning peak (10:00-11:00) and an evening peak (20:00-21:00) was observed in both DM and non-DM patients. No septadian variation was observed in either DM or non-DM patients (P-range 0.13-84).ConclusionsIn these two population-based OHCA registries, we observed a similar circadian rhythm of OHCA occurrence in DM and non-DM patients.
| S-EPMC8473536 | biostudies-literature