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Few data exist regarding the implementation of high-sensitivity cardiac troponin (hs-cTn) assays in the United States since their approval.To explore trends in hs-cTn assay implementation over time and assess the association of their use with in-hospital cardiac testing and outcomes.We examined trends in implementation of hs-cTn assays among participating hospitals in the NCDR® Chest Pain-MI Registry from 1/1/2019 through 9/30/2021. Associations between hs-cTn use, use of in-hospital diagnostic imaging, and patient outcomes were assessed using generalized estimating equation models with logistic or Gamma distributions.Among 550 participating hospitals (251,000 patients), implementation of hs-cTn assays increased from 3.3% in Q1, 2019 to 32.6% in Q3, 2021 (PImplementation of hs-cTn among U.S. hospitals is increasing but most U.S hospitals continue to use less-sensitive assays. hs-cTn use was associated with modestly shorter LOS, greater use of echocardiography for NSTE-ACS, and less use of invasive angiography among low-risk patients.

Guidelines for anticoagulation in patients with atrial fibrillation (AF) aim to decrease the risk of ischemic stroke. However, there is a gap in actual practice between patients who have an indication for anticoagulation and those who are actually prescribed anticoagulation.We sought to evaluate the efficacy of prior population-based interventions aimed at decreasing this AF anticoagulation gap.This study was prospectively registered in the International Prospective Register of Systematic Reviews database (CRD42021287875). A systematic literature review was conducted to obtain all prospective individually randomized and cluster randomized trials by searching 4 electronic databases: PubMed, Google Scholar, Web of Science, and Medline.After a review of 1474 studies, 20 trials were included in this systematic literature review. Forty-five percent were effective in decreasing the AF anticoagulation gap. Trial interventions that improved anticoagulation prescribing included 6 trials of electronic risk assessment or decision support, 1 trial of provider education, 2 trials of new protocol or pathway, and 2 trials of patient education. Six of 15 ambulatory trials, 2 of 4 inpatient trials, and 1 trial that spanned inpatient and outpatient settings improved anticoagulation prescribing rates. Interventions focused on patient education, provider education, and electronic risk assessment or decision support increased absolute appropriate anticoagulation prescribing by 8.3%, 4.9%, and 2.0%, respectively.Interventions aimed at improving anticoagulation prescribing patterns in AF can be effective, although there is heterogeneity in outcomes across intervention type. The most effective interventions appeared to target patient education, provider education, and electronic risk assessment or decision support.

A tiered pediatric Asthma Population Health Management Program (APHMP), based on evidence-based practices, that differentially targets populations for intervention based on rising risk for high utilization and disease complications was implemented at 6 urban and suburban practices affiliated with an academic medical center. In addition to standard pediatric asthma care, APHMP adds regular administration of the asthma control test (ACT), provider education on performance variation, and monitoring through the electronic health record-based asthma registry. As patients' use of acute health care services and complications increases, APHMP integrates multidisciplinary interventions, including an asthma coach who conducts environmental assessments in addition to addressing social needs, into their primary care. A retrospective cohort study method was used to assess population-level effects on asthma event rates and practice- and provider-level variation from 2017 to 2019. Consistent with well-documented health disparities in pediatric asthma, the analysis demonstrated that patients who were male (odds ratio [OR] = 1.21, 95% confidence interval [CI] = 1.02-1.43), 4-8 years old (OR = 4.91, 95% CI = 3.27-7.37), Spanish speaking (OR = 1.67, 95% CI = 1.54-1.81), from low-income neighborhoods (OR = 1.56, 95% CI = 1.53-2.46), and with ACT20 (OR = 2.88, 95% CI = 1.97-4.21) had higher odds of having asthma events. Six percent of patients studied were found to be at risk for high health care utilization and disease complications. Study limitations include the absence of a control group, the mixed model data collection approach, and the effects of seasonal variation on asthma events. Future directions include analyzing disease management program outcomes of incorporating an asthma coach into a patient's primary care team and addressing provider-level variation in asthma event rates.

Background The Affordable Care Act of 2010 extended health insurance through expansion of Medicaid and subsidies for commercial insurance. Prior work has produced differing results in associating expanded insurance with improvements in health care processes and outcomes. Evaluating specific mechanisms of care processes and their association with insurance expansion may help reconcile those results. Methods and results We used inpatient hospitalization data in the Nationwide Inpatient Sample (NIS) Healthcare Cost and Utilization Project (HCUP), Agency for Healthcare Research and Quality from 1/1/2008 to 9/30/2015. We included all hospitalizations for acute myocardial infarction (AMI). As a primary outcome, we defined percent rate of AMI hospitalizations receiving percutaneous coronary intervention (PCI) per month. In the non-Medicare (intervention) group, there was a relative decrease of 0.2% of the monthly trend before and after expansion (95% CI [-0.3%, -0.1%]). In the Medicare group, there was a relative decrease of 0.1% of the monthly trend before and after expansion (95% CI [-0.2%, 0%]). Conclusions We did not detect a relative difference in PCI for AMI associated with insurance expansion under health reform.

ObjectiveExtracting and accurately phenotyping electronic health documentation is critical for medical research and clinical care. While there are a variety of techniques to accomplish this task, natural language processing (NLP) has been developed for numerous domains to transform clinical documentation into data available for computational work. Accordingly, we sought to develop a highly accurate and open-source NLP module to ascertain and phenotype left ventricular hypertrophy (LVH) and hypertrophic cardiomyopathy (HCM) diagnoses on echocardiogram reports from a diverse hospital network.Methods700 echocardiogram reports from six hospitals were randomly selected from data repositories within the Mass General Brigham healthcare system and manually adjudicated by physicians for 10 subtypes of LVH and diagnoses of HCM. Using an open-source NLP system, the module was developed on 300 training set reports and validated on 400 reports. The sensitivity, specificity, positive predictive value, and negative predictive value were calculated to assess the discriminative accuracy of the NLP module.ResultsThe NLP demonstrated robust performance across the 10 LVH subtypes with overall sensitivity and specificity exceeding 96%. Additionally, the NLP module demonstrated excellent performance detecting HCM diagnoses, with sensitivity and specificity exceeding 93%.ConclusionWe designed a highly accurate NLP module to determine the presence of LVH and HCM on echocardiogram reports. Our work demonstrates the feasibility of NLP to detect diagnoses on imaging reports, even when described in free-text. These modules have been placed in the public domain to advance research, trial recruitment, and population health management for individuals with LVH-associated conditions.

Background Cardiovascular procedural volumes can serve as metrics of hospital infrastructure and quality, and are the basis for thresholds for initiating transcatheter mitral valve repair (TMVr) programs. Whether hospital volumes of TMVr, surgical mitral valve replacement or repair (SMVRr), and percutaneous coronary intervention (PCI) are indicators of TMVr quality of care is not known. Methods We used the 2017 Nationwide Readmissions Database to identify hospitals that performed at least 5 TMVr procedures. Hospitals were divided into quartiles of TMVr volume. Associations of hospital TMVr, SMVRr, and PCI volumes, as well as SMVRr and PCI outcomes with TMVr outcomes were examined. Outcomes studied were risk-standardized in-hospital mortality rate (RSMR) and 30-day readmission rate (RSRR). Results The study included 3404 TMVr procedures performed across 150 hospitals in the US. The median hospital TMVr volume was 17 (IQR 10, 28). The mean hospital-level RSMR and RSRR for TMVr were 3.0% (95% CI 2.5%, 3.4%) and 14.8% (95% CI 14.5%, 15.0%), respectively. There was no significant association between hospital TMVr volume (as quartiles or as a continuous variable) and TMVr RSMR or RSRR (P > 0.05). Similarly, there was weak or no correlation between hospital SMVRr and PCI volumes and outcomes with TMVr RSMR or RSRR (Pearson correlation coefficients, r = −0.199 to 0.269). Conclusion In this study, we found no relationship between hospital TMVr, SMVRr, and PCI volume and TMVr outcomes. Further studies are needed to determine more appropriate structure and process measures to assess the performance of established and new TMVr centers.

BACKGROUND: Short-term fine particulate matter (PM(2.5)) exposure is positively associated with acute cardiovascular and respiratory events. Understanding whether this association varies across specific cardiovascular and respiratory conditions has important biologic, clinical, and public health implications. METHODS: We conducted a time-stratified case–crossover study of hospitalizations from 2000 through 2014 among United States Medicare beneficiaries aged 65+. The outcomes were hospitalizations with any of 57 cardiovascular and 32 respiratory discharge diagnoses. We estimated associations with two-day moving average PM(2.5) as a piecewise linear term with a knot at PM(2.5) =25 μg/m(3). We used Multi-Outcome Regression with Tree-structured Shrinkage (MOReTreeS) to identify de novo groups of related diseases such that PM(2.5) associations are: 1) similar within outcome groups; but 2) different between outcome groups. We adjusted for temperature, humidity, and individual-level characteristics. We introduce an R package, moretrees. RESULTS: Our dataset included 16,007,293 cardiovascular and 8,690,837 respiratory hospitalizations. 51 of 57 cardiovascular diseases were grouped and positively associated with PM(2.5). We observed a stronger positive association for heart failure, which formed a separate group. We observed negative associations for groups containing the outcomes other aneurysm and intracranial hemorrhage. 31 of 32 respiratory outcomes were grouped and were positively associated with PM(2.5). Influenza formed a separate group with a negative association. CONCLUSIONS: We used a new statistical approach, MOReTreeS, to uncover variation in the association between short-term PM(2.5) exposure and hospitalizations for cardiovascular and respiratory causes controlling for patient characteristics, time trends, and environmental confounders.

Background Understanding association between factors related to clinical work environment and well-being can inform strategies to improve physicians’ work experience. Objective To model and quantify what drivers of work composition, team structure, and dynamics are associated with well-being. Design Utilizing social network modeling, this cohort study of physicians in an academic health center examined inbasket messaging data from 2018 to 2019 to identify work composition, team structure, and dynamics features. Indicators from a survey in 2019 were used as dependent variables to identify factors predictive of well-being. Participants EHR data available for 188 physicians and their care teams from 18 primary care practices; survey data available for 163/188 physicians. Main Measures Area under the receiver operating characteristic curve (AUC) of logistic regression models to predict well-being dependent variables was assessed out-of-sample. Key Results The mean AUC of the model for the dependent variables of emotional exhaustion, vigor, and professional fulfillment was, respectively, 0.665 (SD 0.085), 0.700 (SD 0.082), and 0.669 (SD 0.082). Predictors associated with decreased well-being included physician centrality within support team (OR 3.90, 95% CI 1.28–11.97, P=0.01) and share of messages related to scheduling (OR 1.10, 95% CI 1.03–1.17, P=0.003). Predictors associated with increased well-being included higher number of medical assistants within close support team (OR 0.91, 95% CI 0.83–0.99, P=0.05), nurse-centered message writing practices (OR 0.89, 95% CI 0.83–0.95, P=0.001), and share of messages related to ambiguous diagnosis (OR 0.92, 95% CI 0.87–0.98, P=0.01). Conclusions Through integration of EHR data with social network modeling, the analysis highlights new characteristics of care team structure and dynamics that are associated with physician well-being. This quantitative methodology can be utilized to assess in a refined data-driven way the impact of organizational changes to improve well-being through optimizing team dynamics and work composition.

Background Transcatheter mitral edge-to-edge repair (TEER) is an increasingly common procedure performed on patients with severe mitral regurgitation. This study assessed the impact of race/ethnicity and socioeconomic status on in-hospital complications after TEER. Methods Cohort-based observational study using the National Inpatient Sample between October 2013 and December 2018. The population was stratified into 4 groups based on race/ethnicity and quartiles of neighborhood income levels. The primary outcome was in-hospital complications, defined as the composite of death, bleeding, cardiac and vascular complications, acute kidney injury, and ischemic stroke. Results 3795 hospitalizations for TEER were identified. Patients of Black and Hispanic race/ethnicity comprised 7.4% and 6.4%, respectively. We estimated that White patients received TEER with a frequency of 38.0/100,000, compared to 29.7/100,000 for Blacks and 30.5/100,000 for Hispanics. In-hospital complications occurred in 20.2% of patients and no differences were found between racial/ethnic groups (P = 0.06). After multilevel modelling, Black and Hispanic patients had similar rate of overall in-hospital complications (OR: 0.84, CI:0.67–1.05 and OR: 0.84, CI:0.66–1.07, respectively) as compared to White patients, however, higher rates of death were observed in Black patients. Individuals living in income quartile-1 had worse in-hospital outcomes as compared to quartile-4 (OR: 1.19, CI:0.99–1.42). Conclusion In this study assessing racial/ethnic disparities in TEER outcomes, aged-adjusted race/ethnicity minorities were less underrepresented as compared to other structural heart interventions. Black patients experienced a higher rate of in-hospital death, but similar overall rate of post-procedural adverse events as compared to White patients. Lower income levels appear to negatively impact on in-hospital outcomes. Brief summary This study appraises race/ethnic and socioeconomical disparities in access and outcomes following transcatheter mitral edge-to-edge repair. Racial minority groups were less underrepresented as compared to other structural heart interventions. While Black patients experienced a higher rate of in-hospital death, they experienced similar overall rate of post-procedural complications compared to White patients. Lower income levels also appeared to negatively impact on outcomes.

Aims Prediction of mitral (MR) and tricuspid (TR) regurgitation progression on transthoracic echocardiography (TTE) is needed to personalize valvular surveillance intervals and prognostication. Methods and results Structured TTE report data at Beth Israel Deaconess Medical Center, 26 January 2000–31 December 2017, were used to determine time to progression (≥1+ increase in severity). TTE predictors of progression were used to create a progression score, externally validated at Massachusetts General Hospital, 1 January 2002–31 December 2019. In the derivation sample (MR, N = 34 933; TR, N = 27 526), only 5379 (15.4%) individuals with MR and 3630 (13.2%) with TR had progression during a median interquartile range) 9.0 (4.1–13.4) years of follow-up. Despite wide inter-individual variability in progression rates, a score based solely on demographics and TTE variables identified individuals with a five- to six-fold higher rate of MR/TR progression over 10 years (high- vs. low-score tertile, rate of progression; MR 20.1% vs. 3.3%; TR 21.2% vs. 4.4%). Compared to those in the lowest score tertile, those in the highest tertile of progression had a four-fold increased risk of mortality. On external validation, the score demonstrated similar performance to other algorithms commonly in use. Conclusion Four-fifths of individuals had no progression of MR or TR over two decades. Despite wide interindividual variability in progression rates, a score, based solely on TTE parameters, identified individuals with a five- to six-fold higher rate of MR/TR progression. Compared to the lowest tertile, individuals in the highest score tertile had a four-fold increased risk of mortality. Prediction of long-term MR/TR progression is not only feasible but prognostically important.

Clinical outcomes for the overall severe aortic stenosis (AS) patient population are not well described because those medically managed are not included in procedural registries, and AS severity is not identifiable from administrative data. We aim to assess whether transcatheter aortic valve implantation (TAVI) availability has been associated with overall changes in survival for the whole AS patient population. This is important because patients with AS in real-world practice may differ from those included in randomized controlled trials, potentially attenuating the purported treatment efficacy estimated in trials. Classic severe AS patients (mean gradient ≥40 mmHg) were identified from an echocardiography database. Survival was defined as time since severe AS diagnosis until death. We first compared survival among all patients before and after TAVI availability in 2008. To further understand mechanism, we then assessed whether any survival changes were attributable to TAVI with extended Cox regression models comparing survival among TAVI, surgical aortic valve replacement, and medically managed patients. 3663 classic severe AS patients were included in the study. Median survival years for all patients were greater during the TAVI-era than Pre-TAVI-era (11.5 vs 6.8, 5-year-HR = 0.8, time-varying effect p0.0001), and increased median survival was greatest for patients age 65 to74 (11.5 vs 9.5, 5-year-HR = 0.7, time-varying effect p = 0.045). TAVI patients age 65 to 74 had the lowest risk of death compared to medically managed patients (HR = 0.2, 95% CI = [0.1, 0.3], p0.0001). In conclusion, in the TAVI-era, overall survival for patients with severe AS has doubled. This improvement is most marked for patients 65 to 74 years of age.

Background Physicians need to learn and work amidst a plethora of uncertainties, which may drive burnout. Understanding differences in tolerance of uncertainty is an important research area. Objective To examine factors associated with tolerance of uncertainty, including well-being metrics such as burnout. Design Online confidential survey. Setting The Massachusetts General Physicians Organization (MGPO). Participants All 2172 clinically active faculty in the MGPO. Main Measures We examined associations for tolerance of uncertainty with demographic information, personal and professional characteristics, and physician well-being metrics. Key Results Two thousand twenty (93%) physicians responded. Multivariable analyses identified significant associations of lower tolerance of uncertainty with female gender (OR, 1.23; 95% CI, 1.03–1.48); primary care practice (OR, 1.56; 95% CI, 1.22–2.00); years since training (OR, 0.99; 95% CI, 0.98–0.995); and lacking a trusted advisor (OR, 1.25; 95% CI, 1.03–1.53). Adjusting for demographic and professional characteristics, physicians with low tolerance of uncertainty had higher likelihood of being burned-out (OR, 3.06; 95% CI, 2.41–3.88), were less likely to be satisfied with career (OR, 0.37; 95% CI, 0.26–0.52), and less likely to be engaged at work (RR, 0.87; 95% CI, 0.84–0.90). Conclusion At a time when concern about physician well-being is high, with much speculation about causes of burnout, we found a strong relationship between tolerance of uncertainty and physician well-being, across specialties. Particular attention likely needs to be paid to those with less experience, those in specialties with high rates of undifferentiated illness and uncertainty, such as primary care, and ensuring all physicians have access to a trusted advisor. These results generate the potential hypothesis that efforts focused in understanding and embracing uncertainty could be potentially effective for reducing burnout. This concept should be tested in prospective trials.

Understanding trends in cardiovascular (CV) risk factors and CV disease according to age, sex, race, and ethnicity is important for policy planning and public health interventions.The goal of this study was to project the number of people with CV risk factors and disease and further explore sex, race, and ethnical disparities.The prevalence of CV risk factors (diabetes mellitus, hypertension, dyslipidemia, and obesity) and CV disease (ischemic heart disease, heart failure, myocardial infarction, and stroke) according to age, sex, race, and ethnicity was estimated by using logistic regression models based on 2013-2018 National Health and Nutrition Examination Survey data and further combining them with 2020 U.S. Census projection counts for years 2025-2060.By the year 2060, compared with the year 2025, the number of people with diabetes mellitus will increase by 39.3% (39.2 million [M] to 54.6M), hypertension by 27.2% (127.8M to 162.5M), dyslipidemia by 27.5% (98.6M to 125.7M), and obesity by 18.3% (106.3M to 125.7M). Concurrently, projected prevalence will similarly increase compared with 2025 for ischemic heart disease by 31.1% (21.9M to 28.7M), heart failure by 33.0% (9.7M to 12.9M), myocardial infarction by 30.1% (12.3M to 16.0M), and stroke by 34.3% (10.8M to 14.5M). Among White individuals, the prevalence of CV risk factors and disease is projected to decrease, whereas significant increases are projected in racial and ethnic minorities.Large future increases in CV risk factors and CV disease prevalence are projected, disproportionately affecting racial and ethnic minorities. Future health policies and public health efforts should take these results into account to provide quality, affordable, and accessible health care.

Background: The Million Hearts Cardiovascular Disease Risk Reduction Model provides financial incentives for practices to lower 10-year atherosclerotic cardiovascular disease (ASCVD) risk for high-risk (ASCVD ≥30%) Medicare patients. To estimate average practice-level ASCVD risk reduction, we applied optimal trial outcomes to a real-world population with high ASCVD risk. Methods: This study uses observational registry data from the National Cardiovascular Data Registry Practice Innovation and Clinical Excellence Registry from January 2013 to June 2016. We modeled ASCVD risk reductions using historical clinical trial data (reducing cholesterol by 26.5%, reducing systolic blood pressure by 10.9%, reducing smoking rates by 21.8%) the average reduction in ASCVD risk associated with individual and combined risk factor modifications, and then percentage of practices achieving the various incentive thresholds for the Million Hearts Model. Results: The final study population included 135 166 patients, with 16 248 (12.0%) with 10-year ASCVD risk of ≥30%, but without existing ASCVD. The mean 10-year ASCVD risk was 41.9% (±1 SD of 11.6). Using risk factor reductions from clinical trials, lowering cholesterol, blood pressure, and smoking rates reduced 10-year ASCVD risk by 3.3% (±3.1), 6.3% (±1.1) and 0.5% (±1.3), respectively. Combining all 3 reductions resulted in a 9.7% (±3.6) reduction, with 67 (27.0%) of practices achieving a patient-level average 10-year ASCVD risk reduction of ≥10%, 181 (73.0%) achieving a 2 to 10% reduction, and no practice achieving Conclusions: In cardiology practices, about 1 out of 8 patients have a 10-year ASCVD risk ≥30% and qualify as high risk in the Million Hearts Model. If practices target the three main modifiable risk factors and achieve reductions similar to clinical trial results, ASCVD risk could be substantially lowered and all practices could receive incentive payments. These findings support the potential benefit of the Million Hearts Model and provide guidance to participating practices.

The coronavirus disease 2019 (COVID-19) pandemic has fundamentally changed how health care systems deliver services and revealed the tenuousness of care delivery based on face-to-face office visits and fee-for-service reimbursement models. Robust population health management, fostered by value-based contract participation, integrates analytics and agile clinical programs and is adaptable to optimize outcomes and reduce risk during population-level crises. In this article, we describe how mature population health programs in a learning health system have been rapidly leveraged to address the challenges of the pandemic. Population-level data and care management have facilitated identification of demographic-based disparities and community outreach. Telemedicine and integrated behavioral health have ensured critical primary care and specialty access, and mobile health and postacute interventions have shifted site of care and optimized hospital utilization. Beyond the pandemic, population health can lead as a cornerstone of a resilient health system, better prepared to improve public health and mitigate risk in a value-based paradigm.

Electronic consultations (e-consults) allow referring providers to pose questions to specialists without requiring an in-person visit by the patient. Despite growing popularity, little is known reg...

Purpose For health care organizations engaged in risk-shared insurance contracts, leakage of advanced diagnostic imaging to imaging sites not affiliated with the risk-sharing organization may undermine performance on financial and quality metrics. The goal of this study was to identify factors that are predictive of leakage of MRI examinations among patients attributed to an academic health care organization’s risk-shared commercial insurance contract. Methods Administrative claims data from 2015 through 2016 for patients attributed to a single risk-shared commercial insurance contract at a large academic medical center (AMC) were analyzed. Primary outcome was MRI leakage: an outpatient MRI study performed at a site not affiliated with the AMC’s integrated health care system. Ordering provider alignment with the AMC’s risk-shared insurance contract was categorized as strong, weak, or none. Multivariate regression analyses were conducted to evaluate the relationship between provider alignment and MRI leakage, while adjusting for selected covariates. Results Among 8,215 patients meeting inclusion criteria, there were 13,272 MRI encounters. The overall proportion of leaked MRI studies was 12.7%. MRI studies ordered by providers with weak AMC alignment (odds ratio, 3.16; 95% confidence interval, 2.49-4.02) or no AMC alignment (odds ratio, 3.68; 95% confidence interval, 3.12-4.33) were more likely to leak than MRI studies ordered by providers with strong AMC alignment. Conclusions An ordering provider with no alignment with an AMC’s commercial risk-shared insurance contract was the strongest predictor of MRI leakage. Population health management initiatives aimed at reducing leakage should consider the impact of provider networks and clinical referral patterns that drive imaging utilization.

American health care is shifting from a fixed-cost, fee-for-service payment model to value-based payment, in which providers including physicians and hospitals increasingly face incentives to reduce the total cost of care and meet specific quality benchmarks. Leaders of organizations that pay for health care and employers have encouraged this shift in response to substantial increases in health care costs and generally mediocre health outcomes compared with other countries. Here, we make the case that although the pace and details of such payment reforms are uncertain, these underlying structural economic challenges make a transition to some sort of value-based care inevitable.

Inappropriate variations in clinical practice are a known cause of poor quality and safety, with variations often associated with nonclinical factors, such as individual differences in cognitive processing. The differential response of physicians to uncertainty may explain some of the variations in resource use and patient experience.To examine the association of physician tolerance for uncertainty with variations in resource use and patient experience.This survey study linked physician survey data (May to June 2019), patient experience survey data (January 2016 to December 2019), and billing data (January 2019 to December 2019) among primary care physicians (PCPs) at Massachusetts General Hospital with at least 10 visits in 2019. The statistical analysis was performed in 2021.The analysis examined associations of PCP tolerance for uncertainty with the tendency to order diagnostic tests, the frequency of outpatient visits, hospital admissions, emergency department visits, and patient experience data (focused on physician communication and overall rating). A 2-stage hierarchical framework was used to account for clustering of patients under PCPs. Binary outcomes were modeled using a hierarchical logistic model, and count outcomes were modeled using hierarchical Poisson or negative binomial models. The analysis was adjusted for patient demographic variables (age, sex, and race and ethnicity), socioeconomic factors (payer and neighborhood income), and clinical comorbidities.Of 217 included physicians, 137 (63.1%) were women, and 174 (80.2%) were adult PCPs. A total of 62 physicians (28.6%) reported low tolerance, 59 (27.2%) reported medium tolerance, and 96 (44.2%) reported high tolerance for uncertainty. Physicians with a low tolerance for uncertainty were less likely to order complete blood cell counts (odds ratio [OR], 0.66; 95% CI, 0.50-0.88), thyroid tests (OR, 0.67; 95% CI, 0.52-0.88), a basic metabolic profile (OR, 0.78; 95% CI, 0.60-1.00), and liver function tests (OR, 0.72; 95% CI, 0.53-0.99) than physicians with a high tolerance for uncertainty. Physicians who reported higher tolerance for uncertainty were more likely to receive higher patient experience scores for listening to patients carefully (OR, 0.65; 95% CI, 0.50-0.83) and higher overall ratings (OR, 0.80; 95% CI, 0.66-0.98) than physicians with medium tolerance. Conversely, no association was found between physician tolerance for uncertainty and patient outpatient visits, hospital admissions, or emergency department visits.In clinical practice, identifying and effectively managing inappropriate variations and improving patient experience have proven to be difficult, despite increased attention to these issues. This study supports the hypothesis that physicians' tolerance for uncertainty is associated with differences in resource use and patient experience. Whether enhancing physicians' tolerance for uncertainty could help reduce unwarranted practice variations, improve quality and patient safety, and improve patient's experience remains to be established.

Background: Little is known about patterns of PCSK9i (proprotein convertase subtilisin/kexin type 9 inhibitor) use among patients with established clinical atherosclerotic cardiovascular disease. This study’s objective was to describe PCSK9i prescribing patterns among patients with atherosclerotic cardiovascular disease. Methods: We used a national outpatient clinic registry linked to zip-code level on household income from the US Census to assess characteristics of patients with atherosclerotic cardiovascular disease and LDL-C (low-density lipoprotein cholesterol) Results: Of 2 148 100 patients meeting study inclusion criteria, 27 249 (1.3%) received PCSK9i prescriptions. Receiving a PCSK9i prescription was associated with White race (versus non-White: OR, 1.78 [95% CI, 1.55–1.83]); high estimated household income (versus low income: OR, 1.18 [95% CI, 1.08–1.29]), and urban or suburban (versus rural) practice location (urban: OR, 1.47 [95% CI, 1.32–1.64]; suburban: OR, 1.25 [95% CI, 1.13–1.39]). Hispanics had lower odds of receiving PCSK9i prescriptions (OR, 0.66 [95% CI, 0.57–0.76]). The adjusted median odds ratio was 2.68 (95% CI, 2.46–2.94), consistent with clinically significant practice-level variation in PCSK9i prescriptions. No differences in quarterly PCSK9i prescription rates were observed before and after price reductions for evolocumab and alirocumab initiated during the fourth quarter of 2018 and first quarter of 2019, respectively. Conclusions: This study highlights racial, socioeconomic, geographic, and practice-level variations in early PCSK9i prescriptions which persist despite adjustment for clinical and demographic factors. After adjustment, 2 randomly selected practices would differ in likelihood of PCSK9i prescription by a factor of >2.

Background Type 2 myocardial infarction (T2MI) is common and associated with high cardiovascular event rates. However, the relationship between T2MI and heart failure (HF) is uncertain. Methods and Results We identified patients with T2MI at a large tertiary hospital between October 2017 and May 2018. Patient characteristics, causes of T2MI, and subsequent HF hospitalizations were determined by physician chart review. We identified 359 patients with T2MI over the study period; 184 patients had a history of HF. Among patients with ejection fraction (EF) assessment (N=180), the majority had preserved EF (N=107; 59.4%), followed by reduced EF (N=54; 30.0%), and mid‐range EF (N=19; 10.6%). Acute HF was the most common cause of T2MI (20.9%). Of those whose T2MI was precipitated by HF (N=75), the mean EF was 53.0±16.8% and 16 (21.3%) were de novo diagnoses of HF. Among patients with T2MI who were discharged alive with available follow‐up (N=289), 5.5% were hospitalized with acute HF within 30 days, 17.3% within 180 days, and 22.1% within 1 year. In subgroup analyses, among patients with T2MI with prevalent or new HF (N=161), the rate of HF hospitalization at 1 year was 34.2%, considerably higher than those with T2MI and no HF diagnosis at discharge (7.0%; N=9/128). Conclusions Index presentations of HF or worsening chronic HF represent the most common causes of T2MI. ≈1 in 5 patients with T2MI will be readmitted for HF within 1 year of their event. Strategies to prevent HF events after a T2MI are needed.

Given the growing incidence of infective endocarditis (IE), understanding the risks and benefits of valvular surgery is critical. This decision is particularly complex for the 1 in 10 cases complicated by intracranial hemorrhage (ICH). While guideline recommendations currently favor early surgery in general, delayed intervention of at least 4 weeks is still recommended for patients with ICH. To date, there are no randomized controlled trials that inform management of patients with an indication for surgery but concomitant ICH, and even reported observational data are rare. This paper reviews the current literature on timing of surgery with a specific focus on cases of ICH. It emphasizes a growing body of literature challenging the current paradigm that surgery within 4 weeks is associated with neurologic deterioration and high mortality rates by demonstrating favorable outcomes for patients with pre-operative ICH who undergo early valvular surgery. Based on these data, we propose a practical management algorithm to facilitate decisions on surgical timing in these complicated cases. Since more rigorous evidence may never be available, clinicians should make patient-specific surgical timing decisions that attempt to balance the competing risks of neurologic versus cardiac complications.

IMPORTANCE: Hospitals that serve poorer populations have higher readmission rates. It is unknown whether these hospitals effectively lowered readmission rates in response to the Hospital Readmissions Reduction Program (HRRP). OBJECTIVE: To compare pre-post differences in readmission rates among hospitals with different proportion of dual-eligible patients both generally and among the most highly penalized (i.e. low performing) hospitals. DESIGN: Retrospective cohort study using piecewise linear model with estimated hospital-level RSRRs as the dependent variable and a change point at HRRP passage (2010). Economic burden was assessed by proportion of dual-eligibles served. SETTING: Acute care hospitals within the United States. PARTICIPANTS: Medicare fee-for-service beneficiaries aged 65 years or older discharged alive from January 1, 2003 to November 30, 2014 with a principal discharge diagnosis of acute myocardial infarction (AMI), congestive heart failure (CHF), and pneumonia. MAIN OUTCOME AND MEASURE: Decrease in hospital-level RSRRs in the post-law period, after controlling for the pre-law trend. RESULTS: For AMI, the pre-post difference between hospitals that service high and low proportion of dual-eligibles was not significant (−65 vs. −64 risk-standardized readmissions per 10000 discharges per year, p = 0.0678). For CHF, RSRRs declined more at high than low dual-eligible hospitals (−79 vs. −75 risk-standardized readmissions per 10000 discharges per year, p = 0.0006). For pneumonia, RSRRs declined less at high than low dual-eligible hospitals (−44 vs. −47 risk-standardized readmissions per 10000 discharges per year, p = 0.0003). Among the 742 highest penalized hospitals and all conditions, the pre-post decline in rate of change of RSRRs was less for high dual-eligible hospitals than low dual-eligible hospitals (−68 vs. −74 risk-standardized readmissions per 10000 discharges per year for AMI, −88 vs. −97 for CHF, and −47 vs. −56 for pneumonia, p < 0.0001 for all). CONCLUSIONS AND RELEVANCE: For all hospitals, differences in pre-post trends in RSRRs varied with disease conditions. However, for the highest-penalized hospitals, the pre-post decline in RSRRs was greater for low than high dual-eligible hospitals for all penalized conditions. These results suggest that high penalty, high dual-eligible hospitals may be less able to improve performance on readmission metrics.

Background Many health systems have begun implementing electronic consultation programs. The clinical and financial impact of these programs in cardiology and the potential for more widespread adoption remains unknown. Objectives To systematically review the current literature related to electronic consultation in cardiology. Methods Following the PRISMA guidelines, we conducted a systematic review in August 2018 of English literature. We searched PubMed, the Cochrane Library, and Cumulative Index to Nursing and Allied Health Literature (CINAHL) databases for studies related to electronic consultation in cardiology. Results A total of 21 studies were included. Two of the studies were randomized controlled trials, 16 were quantitative studies with defined endpoints, and 3 were qualitative descriptions. Most studies were conducted in the United States and Canada. The available literature suggests cardiology e-consult programs can be implemented in different practice settings, have good patient and provider satisfaction, deliver greater and timelier access to outpatient cardiac care, and do so in a cost saving fashion. While studies suggest cardiology e-consultation is safe, there are no studies evaluating hard clinical outcomes. Conclusions Cardiology e-consults appear to be a promising tool for increasing access to outpatient cardiac care. Further investigation is required to evaluate the effects of cardiology electronic consultation on the quality of care. Condensed abstract Here we present the first systematic review of electronic consultation in cardiology. The available literature suggests cardiology e-consult programs can be implemented in different practice settings, have good patient and provider satisfaction, deliver greater and timelier access to outpatient cardiac care, and do so in a cost saving fashion. While studies suggest cardiology e-consultation is safe, there are no studies evaluating hard clinical outcomes. Overall, cardiology e-consults appear to be a promising tool for increasing access to outpatient cardiac care. Further investigation is required to evaluate the effects of cardiology electronic consultation on the quality of care.

Background Patients with isolated tricuspid regurgitation (TR) in the absence of left-sided valvular dysfunction are often managed nonoperatively. Objectives The purpose of this study was to assess the impact of surgery for isolated TR, comparing survival for isolated severe TR patients who underwent surgery with those who did not. Methods A longitudinal echocardiography database was used to perform a retrospective analysis of 3,276 adult patients with isolated severe TR from November 2001 to March 2016. All-cause mortality for patients who underwent surgery versus those who did not was analyzed in the entire cohort and in a propensity-matched sample. To assess the possibility of immortal time bias, the analysis was performed considering time from diagnosis to surgery as a time-dependent covariate. Results Of 3,276 patients with isolated severe TR, 171 (5%) underwent tricuspid valve surgery, including 143 (84%) repairs and 28 (16%) replacements. The remaining 3,105 (95%) patients were medically managed. When considering surgery as a time-dependent covariate in a propensity-matched sample, there was no difference in overall survival between patients who received medical versus surgical therapy (hazard ratio: 1.34; 95% confidence interval: 0.78 to 2.30; p = 0.288). In the subgroup that underwent surgery, there was no difference in survival between tricuspid repair versus replacement (hazard ratio: 1.53; 95% confidence interval: 0.74 to 3.17; p = 0.254). Conclusions In patients with isolated severe TR, surgery is not associated with improved long-term survival compared to medical management alone after accounting for immortal time bias.