Characteristics of cardiac catheterization laboratory directors at the 2017 U.S. News & World Report top 100 U.S. cardiovascular hospitals.

INTRODUCTION: The cardiac catheterization laboratory (CCL) is a focal point for cardiovascular programs and the CCL director represents the key personnel. We outline profiles of CCL directors at the 2017 U.S. News & World Report top 100 U.S. cardiovascular hospitals. METHODS: Using hospital websites, LinkedIn, Healthgrades, Medicare Provider Utilization and Payment Data 2017, and Scopus, we described CCL directors (in 2017) by age, gender, years since medical graduation, international medical school graduate (IMG) status, academic rank, provider clinical focus, and Hirsch (h)-index. RESULTS: Nearly all CCL directors were male (97%). The median age (interquartile range [IQR]) was 53 (49-61) years and median (IQR) years since medical school graduation was 28 (23-35) years. Over a third of CCL directors (39.4%) were IMGs and 38.4% had completed fellowship training at the same facility where they were CCL director. The median (IQR) h-index was 11 (6-22). Of the 69.7% CCL directors who held faculty positions, 60.9% were professors and 30.4% were associate professors. From Medicare data, 45.5% performed only percutaneous coronary interventions, 41.4% performed structural interventions, 3.0% peripheral interventions, and 2.0% performed both structural and peripheral. CCL directors at the top 25 hospitals had higher h-indexes, and more likely to have completed fellowship training at their own institution. CONCLUSIONS: There are very few women CCL directors at the top U.S. cardiovascular hospitals. A third of the CCL directors were IMGs. A significant proportion of CCL directors primarily performed structural interventions and trained at the same institution, more so at the top 25 hospitals.

Trends in Differences in Health Status and Health Care Access and Affordability by Race and Ethnicity in the United States, 1999-2018.

IMPORTANCE: The elimination of racial and ethnic differences in health status and health care access is a US goal, but it is unclear whether the country has made progress over the last 2 decades. OBJECTIVE: To determine 20-year trends in the racial and ethnic differences in self-reported measures of health status and health care access and affordability among adults in the US. DESIGN, SETTING, AND PARTICIPANTS: Serial cross-sectional study of National Health Interview Survey data, 1999-2018, that included 596 355 adults. EXPOSURES: Self-reported race, ethnicity, and income level. MAIN OUTCOMES AND MEASURES: Rates and racial and ethnic differences in self-reported health status and health care access and affordability. RESULTS: The study included 596 355 adults (mean [SE] age, 46.2 [0.07] years, 51.8% [SE, 0.10] women), of whom 4.7% were Asian, 11.8% were Black, 13.8% were Latino/Hispanic, and 69.7% were White. The estimated percentages of people with low income were 28.2%, 46.1%, 51.5%, and 23.9% among Asian, Black, Latino/Hispanic, and White individuals, respectively. Black individuals with low income had the highest estimated prevalence of poor or fair health status (29.1% [95% CI, 26.5%-31.7%] in 1999 and 24.9% [95% CI, 21.8%-28.3%] in 2018), while White individuals with middle and high income had the lowest (6.4% [95% CI, 5.9%-6.8%] in 1999 and 6.3% [95% CI, 5.8%-6.7%] in 2018). Black individuals had a significantly higher estimated prevalence of poor or fair health status than White individuals in 1999, regardless of income strata (P < .001 for the overall and low-income groups; P = .03 for middle and high-income group). From 1999 to 2018, racial and ethnic gaps in poor or fair health status did not change significantly, with or without income stratification, except for a significant decrease in the difference between White and Black individuals with low income (-6.7 percentage points [95% CI, -11.3 to -2.0]; P = .005); the difference in 2018 was no longer statistically significant (P = .13). Black and White individuals had the highest levels of self-reported functional limitations, which increased significantly among all groups over time. There were significant reductions in the racial and ethnic differences in some self-reported measures of health care access, but not affordability, with and without income stratification. CONCLUSIONS AND RELEVANCE: In a serial cross-sectional survey study of US adults from 1999 to 2018, racial and ethnic differences in self-reported health status, access, and affordability improved in some subgroups, but largely persisted.

Association of in-hospital resource utilization with post-acute spending in Medicare beneficiaries hospitalized for acute myocardial infarction: a cross-sectional study.

BACKGROUND: Efforts to decrease hospitalization costs could increase post-acute care costs. This effect could undermine initiatives to reduce overall episode costs and have implications for the design of health care under alternative payment models. METHODS: Among Medicare fee-for-service beneficiaries aged ≥65 years hospitalized with acute myocardial infarction (AMI) between July 2010 and June 2013 in the Premier Healthcare Database, we studied the association of in-hospital and post-acute care resource utilization and outcomes by in-hospital cost tertiles. RESULTS: Among patients with AMI at 326 hospitals, the median (range) of each hospital's mean per-patient in-hospital risk-standardized cost (RSC) for the low, medium, and high cost tertiles were $16,257 ($13,097-$17,648), $18,544 ($17,663-$19,875), and $21,831 ($19,923-$31,296), respectively. There was no difference in the median (IQR) of risk-standardized post-acute payments across cost-tertiles: $5014 (4295-6051), $4980 (4349-5931) and $4922 (4056-5457) for the low (n = 90), medium (n = 98), and high (n = 86) in-hospital RSC tertiles (p = 0.21), respectively. In-hospital and 30-day mortality rates did not differ significantly across the in-hospital RSC tertiles; however, 30-day readmission rates were higher at hospitals with higher in-hospital RSCs: median = 17.5, 17.8, and 18.0% at low, medium, and high in-hospital RSC tertiles, respectively (p = 0.005 for test of trend across tertiles). CONCLUSIONS: In our study of patients hospitalized with AMI, greater resource utilization during the hospitalization was not associated with meaningful differences in costs or mortality during the post-acute period. These findings suggest that it may be possible for higher cost hospitals to improve efficiency in care without increasing post-acute care utilization or worsening outcomes.

Sex Differences in 1-Year All-Cause Rehospitalization in Patients After Acute Myocardial Infarction: A Prospective Observational Study.

BACKGROUND: Compared with men, women are at higher risk of rehospitalization in the first month after discharge for acute myocardial infarction (AMI). However, it is unknown whether this risk extends to the full year and varies by age. Explanatory factors potentially mediating the relationship between sex and rehospitalization remain unexplored and are needed to reduce readmissions. The aim of this study was to assess sex differences and factors associated with 1-year rehospitalization rates after AMI. METHODS: We recruited 3536 patients (33% women) ≥18 years of age hospitalized with AMI from 24 US centers into the TRIUMPH study (Translational Research Investigating Underlying Disparities in Acute Myocardial Infarction Patients' Health Status). Data were obtained by medical record abstraction and patient interviews, and a physician panel adjudicated hospitalizations within the first year after AMI. We compared sex differences in rehospitalization using a Cox proportional hazards model, following sequential adjustment for covariates and testing for an age-sex interaction. RESULTS: One-year crude all-cause rehospitalization rates for women were significantly higher than men after AMI (hazard ratio, 1.29 for women; 95% confidence interval, 1.12-1.48). After adjustment for demographics and clinical factors, women had a persistent 26% higher risk of rehospitalization (hazard ratio, 1.26; 95% confidence interval, 1.08-1.47). However, after adjustment for health status and psychosocial factors (hazard ratio, 1.14; 95% confidence interval, 0.96-1.35), the association was attenuated. No significant age-sex interaction was found for 1-year rehospitalization, suggesting that the increased risk applied to both older and younger women. CONCLUSIONS: Regardless of age, women have a higher risk of rehospitalization compared with men over the first year after AMI. Although the increased risk persisted after adjustment for clinical factors, the poorer health and psychosocial state of women attenuated the difference.

Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study.

BACKGROUND: The current acute kidney injury (AKI) risk prediction model for patients undergoing percutaneous coronary intervention (PCI) from the American College of Cardiology (ACC) National Cardiovascular Data Registry (NCDR) employed regression techniques. This study aimed to evaluate whether models using machine learning techniques could significantly improve AKI risk prediction after PCI. METHODS AND FINDINGS: We used the same cohort and candidate variables used to develop the current NCDR CathPCI Registry AKI model, including 947,091 patients who underwent PCI procedures between June 1, 2009, and June 30, 2011. The mean age of these patients was 64.8 years, and 32.8% were women, with a total of 69,826 (7.4%) AKI events. We replicated the current AKI model as the baseline model and compared it with a series of new models. Temporal validation was performed using data from 970,869 patients undergoing PCIs between July 1, 2016, and March 31, 2017, with a mean age of 65.7 years; 31.9% were women, and 72,954 (7.5%) had AKI events. Each model was derived by implementing one of two strategies for preprocessing candidate variables (preselecting and transforming candidate variables or using all candidate variables in their original forms), one of three variable-selection methods (stepwise backward selection, lasso regularization, or permutation-based selection), and one of two methods to model the relationship between variables and outcome (logistic regression or gradient descent boosting). The cohort was divided into different training (70%) and test (30%) sets using 100 different random splits, and the performance of the models was evaluated internally in the test sets. The best model, according to the internal evaluation, was derived by using all available candidate variables in their original form, permutation-based variable selection, and gradient descent boosting. Compared with the baseline model that uses 11 variables, the best model used 13 variables and achieved a significantly better area under the receiver operating characteristic curve (AUC) of 0.752 (95% confidence interval [CI] 0.749-0.754) versus 0.711 (95% CI 0.708-0.714), a significantly better Brier score of 0.0617 (95% CI 0.0615-0.0618) versus 0.0636 (95% CI 0.0634-0.0638), and a better calibration slope of observed versus predicted rate of 1.008 (95% CI 0.988-1.028) versus 1.036 (95% CI 1.015-1.056). The best model also had a significantly wider predictive range (25.3% versus 21.6%, p < 0.001) and was more accurate in stratifying AKI risk for patients. Evaluated on a more contemporary CathPCI cohort (July 1, 2015-March 31, 2017), the best model consistently achieved significantly better performance than the baseline model in AUC (0.785 versus 0.753), Brier score (0.0610 versus 0.0627), calibration slope (1.003 versus 1.062), and predictive range (29.4% versus 26.2%). The current study does not address implementation for risk calculation at the point of care, and potential challenges include the availability and accessibility of the predictors. CONCLUSIONS: Machine learning techniques and data-driven approaches resulted in improved prediction of AKI risk after PCI. The results support the potential of these techniques for improving risk prediction models and identification of patients who may benefit from risk-mitigation strategies.

Timing of Blood Draws Among Patients Hospitalized in a Large Academic Medical Center.

This study describes the degree to which blood draws occurred among hospitalized patients during traditional sleep hours and investigates trends over time.

Quality of Care in the United States Territories, 1999-2012.

BACKGROUND: Millions of Americans live in the US territories, but health outcomes and payments among Medicare beneficiaries in these territories are not well characterized. METHODS: Among Fee-for-Service Medicare beneficiaries aged 65 years and older hospitalized between 1999 and 2012 for acute myocardial infarction (AMI), heart failure (HF), and pneumonia, we compared hospitalization rates, patient outcomes, and inpatient payments in the territories and states. RESULTS: Over 14 years, there were 4,350,813 unique beneficiaries in the territories and 402,902,615 in the states. Hospitalization rates for AMI, HF, and pneumonia declined overall and did not differ significantly. However, 30-day mortality rates were higher in the territories for all 3 conditions: in the most recent time period (2008-2012), the adjusted odds of 30-day mortality were 1.34 [95% confidence interval (CI), 1.21-1.48], 1.24 (95% CI, 1.12-1.37), and 1.85 (95% CI, 1.71-2.00) for AMI, HF, and pneumonia, respectively; adjusted odds of 1-year mortality were also higher. In the most recent study period, inflation-adjusted Medicare in-patient payments, in 2012 dollars, were lower in the territories than the states, at $9234 less (61% lower than states), $4479 less (50% lower), and $4403 less (39% lower) for AMI, HF, and pneumonia hospitalizations, respectively (P<0.001 for all). CONCLUSIONS AND RELEVANCE: Among Medicare Fee-for-Service beneficiaries, in 2008-2012 mortality rates were higher, or not significantly different, and hospital reimbursements were lower for patients hospitalized with AMI, HF, and pneumonia in the territories. Improvement of health care and policies in the territories is critical to ensure health equity for all Americans.

Sex Differences in the Rate, Timing, and Principal Diagnoses of 30-Day Readmissions in Younger Patients with Acute Myocardial Infarction.

BACKGROUND: Young women (<65 years) experience a 2- to 3-fold greater mortality risk than younger men after an acute myocardial infarction. However, it is unknown whether they are at higher risk for 30-day readmission, and if this association varies by age. We examined sex differences in the rate, timing, and principal diagnoses of 30-day readmissions, including the independent effect of sex following adjustment for confounders. METHODS AND RESULTS: We included patients aged 18 to 64 years with a principal diagnosis of acute myocardial infarction. Data were used from the Healthcare Cost and Utilization Project-State Inpatient Database for California (07-09). Readmission diagnoses were categorized by using an aggregated version of the Centers for Medicare and Medicaid Services' Condition Categories, and readmission timing was determined from the day after discharge. Of 42,518 younger patients with acute myocardial infarction (26.4% female), 4775 (11.2%) had at least 1 readmission. The 30-day all-cause readmission rate was higher for women (15.5% versus 9.7%, P<0.0001). For both sexes, readmission risk was highest on days 2 to 4 after discharge and declined thereafter, and women were more likely to present with noncardiac diagnoses (44.4% versus 40.6%, P=0.01). Female sex was associated with a higher rate of 30-day readmission, which persisted after adjustment (hazard ratio, 1.22; 95% confidence interval, 1.15-1.30). There was no significant interaction between age and sex on readmission. CONCLUSIONS: In comparison with men, younger women have a higher risk for readmission, even after the adjustment for confounders. The timing of 30-day readmission was similar in women and men, and both sexes were susceptible to a wide range of causes for readmission.

The Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients (VIRGO) Classification System: A Taxonomy for Young Women With Acute Myocardial Infarction.

BACKGROUND: Current classification schemes for acute myocardial infarction (AMI) may not accommodate the breadth of clinical phenotypes in young women. METHODS AND RESULTS: We developed a novel taxonomy among young adults (≤55 years) with AMI enrolled in the Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients (VIRGO) study. We first classified a subset of patients (n=600) according to the Third Universal Definition of MI using a structured abstraction tool. There was heterogeneity within type 2 AMI, and 54 patients (9%; including 51 of 412 women) were unclassified. Using an inductive approach, we iteratively grouped patients with shared clinical characteristics, with the aims of developing a more inclusive taxonomy that could distinguish unique clinical phenotypes. The final VIRGO taxonomy classified 2802 study participants as follows: class 1, plaque-mediated culprit lesion (82.5% of women; 94.9% of men); class 2, obstructive coronary artery disease with supply-demand mismatch (2a: 1.4% women; 0.9% men) and without supply-demand mismatch (2b: 2.4% women; 1.1% men); class 3, nonobstructive coronary artery disease with supply-demand mismatch (3a: 4.3% women; 0.8% men) and without supply-demand mismatch (3b: 7.0% women; 1.9% men); class 4, other identifiable mechanism (spontaneous dissection, vasospasm, embolism; 1.5% women, 0.2% men); and class 5, undetermined classification (0.8% women, 0.2% men). CONCLUSIONS: Approximately 1 in 8 young women with AMI is unclassified by the Universal Definition of MI. We propose a more inclusive taxonomy that could serve as a framework for understanding biological disease mechanisms, therapeutic efficacy, and prognosis in this population.

Contemporary Prehospital Emergency Medical Services Response Times for Suspected Stroke in the United States.

BACKGROUND AND PURPOSE: There are no contemporary national-level data on Emergency Medical Services (EMS) response times for suspected stroke in the United States (US). Because effective stroke treatment is time-dependent, we characterized response times for suspected stroke, and examined whether they met guideline recommendations. METHODS: Using the National EMS Information System dataset, we included 911 calls for patients ≥ 18 years with an EMS provider impression of stroke. We examined variation in the total EMS response time by dispatch notification of stroke, age, sex, race, region, time of day, day of the week, as well as the proportion of EMS responses that met guideline recommended response times. Total EMS response time included call center dispatch time (receipt of call by dispatch to EMS being notified), EMS dispatch time (dispatch informing EMS to EMS starts moving), time to scene (EMS starts moving to EMS arrival on scene), time on scene (EMS arrival on scene to EMS leaving scene), and transport time (EMS leaving scene to reaching treatment facility). RESULTS: We identified 184,179 events with primary impressions of stroke (mean age 70.4 ± 16.4 years, 55% male). Median total EMS response time was 36 (IQR 28.7-48.0) minutes. Longer response times were observed for patients aged 65-74 years, of white race, females, and from non-urban areas. Dispatch identification of stroke versus "other" was associated with marginally faster response times (36.0 versus 36.7 minutes, p < 0.01). When compared to recommended guidelines, 78% of EMS responses met dispatch delay of <1 minute, 72% met time to scene of <8 minutes, and 46% met on-scene time of <15 minutes. CONCLUSIONS: In the United States, time from receipt of 9-1-1 calls to treatment center arrival takes a median of 36 minutes for stroke patients, an improvement upon previously published times. The fact that 22%-46% of EMS responses did not meet stroke guidelines highlights an opportunity for improvement. Future studies should examine EMS diagnostic accuracy nationally or regionally using outcomes based approaches, as accurate recognition of prehospital strokes is vital in order to improve response times, adhere to guidelines, and ultimately provide timely and effective stroke treatment.

Association of Admission to Veterans Affairs Hospitals vs Non-Veterans Affairs Hospitals With Mortality and Readmission Rates Among Older Men Hospitalized With Acute Myocardial Infarction, Heart Failure, or Pneumonia.

IMPORTANCE: Little contemporary information is available about comparative performance between Veterans Affairs (VA) and non-VA hospitals, particularly related to mortality and readmission rates, 2 important outcomes of care. OBJECTIVE: To assess and compare mortality and readmission rates among men in VA and non-VA hospitals. DESIGN, SETTING, AND PARTICIPANTS: Cross-sectional analysis involving male Medicare fee-for-service beneficiaries aged 65 years or older hospitalized between 2010 and 2013 in VA and non-VA acute care hospitals for acute myocardial infarction (AMI), heart failure (HF), or pneumonia using the Medicare Standard Analytic Files and Enrollment Database together with VA administrative claims data. To avoid confounding geographic effects with health care system effects, we studied VA and non-VA hospitals within the same metropolitan statistical area (MSA). EXPOSURES: Hospitalization in a VA or non-VA hospital in MSAs that contained at least 1 VA and non-VA hospital. MAIN OUTCOMES AND MEASURES: For each condition, 30-day risk-standardized mortality rates and risk-standardized readmission rates for VA and non-VA hospitals. Mean aggregated within-MSA differences in mortality and readmission rates were also assessed. RESULTS: We studied 104 VA and 1513 non-VA hospitals, with each condition-outcome analysis cohort for VA and non-VA hospitals containing at least 7900 patients (men; ≥65 years), in 92 MSAs. Mortality rates were lower in VA hospitals than non-VA hospitals for AMI (13.5% vs 13.7%, P = .02; -0.2 percentage-point difference) and HF (11.4% vs 11.9%, P = .008; -0.5 percentage-point difference), but higher for pneumonia (12.6% vs 12.2%, P = .045; 0.4 percentage-point difference). In contrast, readmission rates were higher in VA hospitals for all 3 conditions (AMI, 17.8% vs 17.2%, 0.6 percentage-point difference; HF, 24.7% vs 23.5%, 1.2 percentage-point difference; pneumonia, 19.4% vs 18.7%, 0.7 percentage-point difference, all P < .001). In within-MSA comparisons, VA hospitals had lower mortality rates for AMI (percentage-point difference, -0.22; 95% CI, -0.40 to -0.04) and HF (-0.63; 95% CI, -0.95 to -0.31), and mortality rates for pneumonia were not significantly different (-0.03; 95% CI, -0.46 to 0.40); however, VA hospitals had higher readmission rates for AMI (0.62; 95% CI, 0.48 to 0.75), HF (0.97; 95% CI, 0.59 to 1.34), or pneumonia (0.66; 95% CI, 0.41 to 0.91). CONCLUSIONS AND RELEVANCE: Among older men with AMI, HF, or pneumonia, hospitalization at VA hospitals, compared with hospitalization at non-VA hospitals, was associated with lower 30-day risk-standardized all-cause mortality rates for AMI and HF, and higher 30-day risk-standardized all-cause readmission rates for all 3 conditions, both nationally and within similar geographic areas, although absolute differences between these outcomes at VA and non-VA hospitals were small.

Community Level Association between Home Health and Nursing Home Performance on Quality and Hospital 30-day Readmissions for Medicare Patients.

We evaluated whether community-level home health agencies and nursing home performance is associated with community-level hospital 30-day all-cause risk-standardized readmission rates for Medicare patients used data from the Centers for Medicare & Medicaid Service from 2010 to 2012. Our final sample included 2,855 communities that covered 4,140 hospitals with 6,751,713 patients, 13,060 nursing homes with 1,250,648 residents, and 7,613 home health agencies providing services to 35,660 zipcodes. Based on a mixed effect model, we found that increasing nursing home performance by one star for all of its 4 measures and home health performance by 10 points for all of its 6 measures is associated with decreases of 0.25% (95% CI 0.17-0.34) and 0.60% (95% CI 0.33-0.83), respectively, in community-level risk-standardized readmission rates.

Improvements in the distribution of hospital performance for the care of patients with acute myocardial infarction, heart failure, and pneumonia, 2006-2011.

BACKGROUND: Medicare hospital core process measures have improved over time, but little is known about how the distribution of performance across hospitals has changed, particularly among the lowest performing hospitals. METHODS: We studied all US hospitals reporting performance measure data on process measures for acute myocardial infarction (AMI), heart failure (HF), and pneumonia (PN) to the Centers for Medicare & Medicaid Services from 2006 to 2011. We assessed changes in performance across hospital ranks, variability in the distribution of performance rates, and linear trends in the 10th percentile (lowest) of performance over time for both individual measures and a created composite measure for each condition. RESULTS: More than 4000 hospitals submitted measure data each year. There were marked improvements in hospital performance measures (median performance for composite measures: AMI: 96%-99%, HF: 85%-98%, PN: 83%-97%). A greater number of hospitals reached the 100% performance level over time for all individual and composite measures. For the composite measures, the 10th percentile significantly improved (AMI: 90%-98%, P<0.0001 for trend; HF: 70%-92%, P=0.0002; PN: 71%-92%, P=0.0003); the variation (90th percentile rate minus 10th percentile rate) decreased from 9% in 2006 to 2% in 2011 for AMI, 25%-8% for HF, and 20%-7% for PN. CONCLUSIONS: From 2006 to 2011, not only did the median performance improve but the distribution of performance narrowed. Focus needs to shift away from processes measures to new measures of quality.

Association of Door-to-Balloon Time and one-Year Outcomes in hospital survivors of ST-elevation myocardial infarction.

In this study of 19,824 ST-elevated myocardial infarction (STEMI) patients from the JPCI OUTCOME registry (January 1, 2017, to December 31, 2018), we investigated the association between door-to-balloon time (DTB) and 1-year post-discharge cardiovascular outcomes. Patients with DTB >90 min were older and had higher comorbidities. The incidence of 1-year major adverse cardiovascular events (MACE) showed an incremental increase: 3.7 %, 4.8 %, and 7.7 % for DTB ≤60, DTB 60-90, and DTB >90 groups, respectively. Adjusted hazard ratios (aHR) compared to the DTB 60-90 group were 0.83 (DTB ≤60, p = 0.03) and 1.25 (DTB >90, p = 0.005). Subgroup analysis revealed higher risk for MACE in DTB >90 group for patients aged <70, men, no history of coronary revascularization, and those with cardiac arrest or cardiogenic shock. Conversely, DTB ≤60 group without previous revascularization history had a lower MACE risk (aHR 0.80, p = 0.02). This study, the largest of its kind, demonstrates that a DTB below 90 min is associated with lower 1-year MACE risk, supporting current guidelines, and indicating additional benefits for specific patient subgroups, especially those experiencing their first acute coronary event. The findings underscore the importance of early intervention in primary prevention and emphasize the need for prompt detection of vulnerable plaque.

Invasive Pulmonary Angiogram Performance and Interpretation in the Diagnosis of Pulmonary Thromboembolic Disease.

Invasive or selective pulmonary angiography has historically been used as the gold standard diagnostic test for the evaluation of a wide array of pulmonary arterial conditions, most commonly pulmonary thromboembolic diseases. With the emergence of various noninvasive imaging modalities, the role of invasive pulmonary angiography is shifting to the assistance of advanced pharmacomechanical therapies for such conditions. Components of invasive pulmonary angiography methodology include optimal patient positioning, vascular access, catheter selections, angiographic positioning, contrast settings, and recognition of angiographic patterns of common thromboembolic and nonthromboembolic conditions. We review the pulmonary vascular anatomy, step-by-step performance, and interpretation of invasive pulmonary angiography.

Wireless pulmonary artery sensor implantation in a unilateral lung transplant recipient.

Patients with lung transplantation can have concomitant left ventricular failure which can either precede the lung transplantation or develop after. Implantable wireless pulmonary artery (PA) pressure monitors to guide hemodynamic management in heart failure such as the CardioMEMS device (Abbott, Sylmar, CA, USA) have been shown to improve outcomes. However, in a lung transplant recipient there are unique physiological and practical considerations when contemplating to implant a PA pressure sensor such as safety of implanting the device, choice of site of implantation, accuracy of wedge tracings to calibrate, and exclusion of vascular stenoses post transplantation. We discuss these considerations in the context of a man in his early 60s with a known left lung transplant two years previously who developed worsening heart failure needing invasive monitoring. Right lung PA sensor placement was considered, but on selective pulmonary angiography the right PA was found to be of small caliber and with significant tortuosity. After careful hemodynamic assessment, the PA sensor was implanted in the PA of the transplanted lung which is the first such case to our knowledge. Learning objective: We report the first documented case of an implantable wireless pulmonary artery pressure monitor (CardioMEMs) into a transplanted lung. Device-related complications, such as pulmonary artery injury, infection, and hemoptysis, must be assessed after placement. Given the changes in pulmonary artery pressures after lung transplantation, recalibration of the CardioMEMs device may need to be considered if placed within first year of transplant.

Patterns of Digoxin Prescribing for Medicare Beneficiaries in the United States 2013-2019.

Background: Studies show that digoxin use is declining but is still prevalent. Recent data on digoxin prescription and characteristics of digoxin prescribers are unknown, which can help understand its contemporary use. Methods: Using Medicare Part D data from 2013 to 2019, we studied the change in number and proportion of digoxin prescriptions and digoxin prescribers, overall and by specialty. Using logistic regression, we identified prescriber characteristics associated with digoxin prescription. Results: From 2013 to 2019, total digoxin prescriptions (4.6 to 1.8 million) and proportion of digoxin prescribers decreased (9.1% to 4.3% overall; 26.6% to 11.8% among General Medicine prescribers and 65.4% to 48.9% among Cardiology). Of digoxin prescribers from 2013 practicing in 2019 (91.2% remained active), 59.1% did not prescribe digoxin at all, 31.7% reduced, and 9.2% maintained or increased prescriptions. The proportion of all digoxin prescriptions that were prescribed by General Medicine prescribers declined from 59.7% to 48.2% and increased for Cardiology (29% to 38.5%). Among new prescribers in 2019 (N = 85,508), only 1.9% prescribed digoxin. Digoxin prescribers when compared to non-digoxin prescribers were more likely male, graduated from medical school earlier, were located in the Midwest or South, and belonged to Cardiology (all P < .001). Conclusions: Digoxin prescriptions continue to decline with over half of 2013 prescribers no longer prescribing digoxin in 2019. This may be a result of the increasing availability of newer heart failure therapies. The decline in digoxin prescription was greater among general medicine physicians than cardiologists, suggesting a change in digoxin use to a medication prescribed increasingly by specialists.

Sex Difference in Outcomes of Acute Myocardial Infarction in Young Patients.

BACKGROUND: Younger women experience worse health status than men after their index episode of acute myocardial infarction (AMI). However, whether women have a higher risk for cardiovascular and noncardiovascular hospitalizations in the year after discharge is unknown. OBJECTIVES: The aim of this study was to determine sex differences in causes and timing of 1-year outcomes after AMI in people aged 18 to 55 years. METHODS: Data from the VIRGO (Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients) study, which enrolled young patients with AMI across 103 U.S. hospitals, were used. Sex differences in all-cause and cause-specific hospitalizations were compared by calculating incidence rates ([IRs] per 1,000 person-years) and IR ratios with 95% CIs. We then performed sequential modeling to evaluate the sex difference by calculating subdistribution HRs (SHRs) accounting for deaths. RESULTS: Among 2,979 patients, at least 1 hospitalization occurred among 905 patients (30.4%) in the year after discharge. The leading causes of hospitalization were coronary related (IR: 171.8 [95% CI: 153.6-192.2] among women vs 117.8 [95% CI: 97.3-142.6] among men), followed by noncardiac hospitalization (IR: 145.8 [95% CI: 129.2-164.5] among women vs 69.6 [95% CI: 54.5-88.9] among men). Furthermore, a sex difference was present for coronary-related hospitalizations (SHR: 1.33; 95% CI: 1.04-1.70; P = 0.02) and noncardiac hospitalizations (SHR: 1.51; 95% CI: 1.13-2.07; P = 0.01). CONCLUSIONS: Young women with AMI experience more adverse outcomes than men in the year after discharge. Coronary-related hospitalizations were most common, but noncardiac hospitalizations showed the most significant sex disparity.

Prevalence of Takotsubo cardiomyopathy in the United States.

BACKGROUND: The aim of this study was to describe the prevalence of Takotsubo cardiomyopathy (TTC), age-gender interaction, and various comorbidities associated with it based on nationwide hospitalization records. Takotsubo cardiomyopathy is an increasingly reported clinical syndrome; however, there are no data on its prevalence in the general US population. METHODS: The Nationwide Inpatient Sample discharge records were queried for the year 2008 using the International Classification of Diseases, Ninth Revision, code 429.83. RESULTS: There were 6,837 patients diagnosed with TTC among 33,506,402 hospitalizations in the Nationwide Inpatient Sample database. Women were found to have higher odds of developing TTC (odds ratio 8.8). Women >55 years old had 4.8 times higher odds for developing TTC when compared with women <55 years old. Smoking, alcohol abuse, anxiety states, and hyperlipidemia were commonly associated with TTC. The peak incidence of hospitalization for TTC was in summer. CONCLUSION: Takotsubo cardiomyopathy was diagnosed in about 0.02% of all hospitalizations in the United States, mostly in elderly women with history of smoking, alcohol abuse, anxiety states, and hyperlipidemia.

Haemophilus Parainfluenzae mural endocarditis with large atrial septal defect and peripheral embolization.

Mural endocarditis is a rare subclass of infective endocarditis (IE) associated with intra-cardiac tumors, prosthesis, valvular vegetation's, or structural abnormalities such as ventricular septal defects. Bacteria classified as HACEK (Haemophilus species, Aggregatibacter actinomycetemcomitans, Cardiobacterium hominis, Eikenella corrodens, and Kingella kingae) are rare causes of IE found in only 1.3% to 10% of cases. We describe the second reported case of mural endocarditis involving the left ventricle (LV) caused by a Haemophilus species. A young male with no prior intravenous drug use, valvular heart disease, or recent dental work presented with splenic infarcts. H. para-influenza was identified on blood cultures. Cardiac imaging revealed a 1.5 cm LV mass underneath the posterior leaflet of the mitral valve and a large Atrial Septal Defect (ASD). Awaiting surgery, the patient sustained embolic and hemorrhagic cerebral events. The patient underwent debulking of LV mass, ASD closure, and mitral valve repair complicated by post-pericardiotomy syndrome, and he completed six weeks of ceftriaxone therapy. The patient met modified Duke Criteria, but the diagnosis was challenging due to absence of risk factors, sub-acute symptom onset, delayed blood culture growth, and ambiguous characterization of the mass on imaging. .