Hospitalizations and Outcomes of T1MI Observed Before and After the Introduction of MI Subtype Codes

BACKGROUND

International Classification of Disease (ICD)-10 coding of type 1 myocardial infarction (MI) is used for reimbursement, value-based programs, and clinical research.

OBJECTIVES

This study sought to determine whether the introduction of ICD-10 codes for type 2 and types 3-5 MI was associated with changes in hospitalizations for ICD-10 codes now attributed to type 1 MI.

METHODS

Using the Nationwide Readmissions Database, we identified patients with ICD-10 codes now attributed to type 1 MI between January 2016 and December 2018. Patients were stratified according to the timing of their event in relation to the introduction of the type 2 and types 3-5 MI codes on October 1, 2017.

RESULTS

There were 2,680,323 hospitalizations for ICD-10 codes now attributed to type 1 MI; after adjustment for seasonality, there was a 13.7% decline in hospitalizations after the introduction of the new subtype codes. Patients with ICD-10 codes now attributed to type 1 MI after the coding change were less likely to be female, had lower prevalence of several cardiovascular and noncardiovascular comorbidities, and had higher rates of coronary angiography and revascularization. After introduction of the new codes, there was a positive deflection in the slope of risk-adjusted in-hospital mortality (0.007%; P <0.001) and a negative deflection in risk-adjusted 30-day readmission (-0.002%; P = 0.05) for patients with ICD-10 codes now attributed to type 1 MI.

CONCLUSIONS

The introduction of ICD-10 codes for type 2 and types 3-5 MI was associated with a decrease in hospitalizations for ICD-10 codes now attributed to type 1 MI and changes in the observed characteristics and treatment patterns of these patients.

Gender Differences in Medicare Payments Among Cardiologists

Importance

Women cardiologists receive lower salaries than men; however, it is unknown whether US Centers for Medicare & Medicaid Services (CMS) reimbursement also differs by gender and contributes to the lower salaries.

Objective

To determine whether gender differences exist in the reimbursements, charges, and reimbursement per charge from CMS.

Design, Setting, and Participants

This cross-sectional analysis used the CMS database to obtain 2016 reimbursement data for US cardiologists. These included reimbursements to cardiologists, charges submitted, and unique billing codes. Gender differences in reimbursement for evaluation and management and procedural charges from both inpatient and outpatient settings were also assessed. Analysis took place between April 2019 and December 2020.

Main Outcomes and Measures

Outcomes included median CMS payments received and median charges submitted in the inpatient and outpatient settings in 2016.

Results

In 2016, 17 524 cardiologists (2312 women [13%] and 15 212 men [87%]) received CMS payments in the inpatient setting, and 16 929 cardiologists (2151 women [13%] and 14 778 men [87%]) received CMS payments in the outpatient setting. Men received higher median payments in the inpatient (median [interquartile range], $62 897 [$30 904-$104 267] vs $45 288 [$21 371-$73 191]; P < .001) and outpatient (median [interquartile range], $91 053 [$34 820-$196 165] vs $51 975 [$15 622-$120 175]; P < .001) practice settings. Men submitted more median charges in the inpatient (median [interquartile range], 1190 [569-2093] charges vs 959 [569-2093] charges; P < .001) and outpatient settings (median [interquartile range], 1685 [644-3328] charges vs 870 [273-1988] charges; P < .001). In a multivariable-adjusted linear regression analysis, women received less CMS payments compared with men (log-scale β = -0.06; 95% CI, -0.11 to -0.02) after adjustment for number of charges, number of unique billing codes, complexity of patient panel, years since graduation of physicians, and physician subspecialty. Payment by billing codes, both inpatient and outpatient, did not differ by gender.

Conclusions and Relevance

There may be potential differences in CMS payments between men and women cardiologists, which appear to stem from gender differences in the number and types of charges submitted. The mechanisms behind these differences merit further research, both to understand why such gender differences exist and also to facilitate reductions in pay disparities.

The Intersection of Type 2 Myocardial Infarction and Heart Failure

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.

A Test in Context: Interpretation of High-Sensitivity Cardiac Troponin Assays in Different Clinical Settings

High-sensitivity cardiac troponin (hs-cTn) assays have the ability to detect minute troponin concentrations and resolve minor changes in biomarker concentrations. Clinically, this allows for the ability to rapidly identify or exclude acute myocardial injury in the setting of acute chest discomfort-thus providing more rapid evaluation for acute myocardial infarction-but the improvements in troponin assays also create avenues for other applications where troponin release from the cardiomyocyte might confer prognostic information. These situations include cardiovascular risk assessment across a wide range of clinical circumstances, including apparently-well individuals, those at risk for heart disease, and those with prevalent cardiovascular disorders. The optimal hs-cTn threshold for each circumstance varies by the assay used and by the population assessed. This review will provide context for how hs-cTn assays might be interpreted depending on the application sought, reviewing results from studies leveraging hs-cTn for applications beyond "acute myocardial infarction diagnostic evaluation."

Patient Characteristics and Clinical Outcomes of Type 1 Versus Type 2 Myocardial Infarction

BACKGROUND

Type 2 myocardial infarction (MI) patients may have different characteristics and outcomes when compared with type 1 MI.

OBJECTIVES

The purpose of this study was to compare patients with type 1 MI to those with type 2 MI in the United States.

METHODS

Using the Nationwide Readmissions Database, MI patients were categorized over the 3 months following the introduction of an International Classification of Diseases-10th Revision code specific for type 2 MI. Baseline characteristics and inpatient and post-discharge outcomes among both cohorts were compared.

RESULTS

There were 216,657 patients with type 1 MI, 37,765 patients with type 2 MI, and 1,525 patients with both type 1 and 2 MI. Patients with type 2 MI were older (71 years vs. 69 years; p < 0.001), were more likely to be women (47.3% vs. 40%; p < 0.001), and had higher prevalence of heart failure (27.9% vs. 10.9%; p < 0.001), kidney disease (35.7% vs. 25.7%; p < 0.001), and atrial fibrillation (31% vs. 21%; p < 0.001). Rates of coronary angiography (10.9% vs. 57.3%; p < 0.001), percutaneous coronary intervention (1.7% vs. 38.5%; p < 0.001), and coronary artery bypass grafting (0.4% vs. 7.8%; p < 0.001) were lower among type 2 MI patients. Patients with type 2 MI had lower risk of in-hospital mortality (adjusted odds ratio: 0.57 [95% confidence interval: 0.54 to 0.60]) and 30-day MI readmission (adjusted odds ratio: 0.46 [95% confidence interval: 0.35 to 0.59]). There was no difference in risk of 30-day all-cause or heart failure readmission.

CONCLUSIONS

Patients with type 2 MI have a unique cardiovascular phenotype when compared with type 1 MI, and are managed in a heterogenous manner. Validated management strategies for type 2 MI are needed.

Inflammation in Heart Failure: JACC State-of-the-Art Review

It has long been observed that heart failure (HF) is associated with measures of systemic inflammation. In recent years, there have been significant advancements in our understanding of how inflammation contributes to the pathogenesis and progression of HF. However, although numerous studies have validated the association between measures of inflammation and HF severity and prognosis, clinical trials of anti-inflammatory therapies have proven mostly unsuccessful. On this backdrop emerges the yet unmet goal of targeting precise phenotypes within the syndrome of HF; if such precise definitions can be realized, and with better understanding of the roles played by specific inflammatory mediators, the expectation is that targeted anti-inflammatory therapies may improve prognosis in patients whose HF is driven by inflammatory pathobiology. Here, the authors describe mechanistic links between inflammation and HF, discuss traditional and novel inflammatory biomarkers, and summarize the latest evidence from clinical trials of anti-inflammatory therapies.

Association between pre-ablation bariatric surgery and atrial fibrillation recurrence in morbidly obese patients undergoing atrial fibrillation ablation

AIMS

Obesity decreases arrhythmia-free survival after atrial fibrillation (AF) ablation by mechanisms that are not fully understood. We investigated the impact of pre-ablation bariatric surgery (BS) on AF recurrence after ablation.

METHODS AND RESULTS

In this retrospective observational cohort study, 239 consecutive morbidly obese patients (body mass index ≥40 kg/m2 or ≥35 kg/m2 with obesity-related complications) were followed for a mean of 22 months prior to ablation. Of these patients, 51 had BS prior to ablation, and our primary outcome was whether BS was associated with a lower rate of AF recurrence during follow-up. Adjustment for confounding was performed with multivariable Cox proportional hazard models and propensity-score based analyses. During a mean follow-up of 36 months after ablation, 10/51 patients (20%) in the BS group had recurrent AF compared with 114/188 (61%) in the non-BS group (P < 0.0001). In the BS group, 6 patients (12%) underwent repeat ablation compared with 77 patients (41%) in the non-BS group, (P < 0.0001). On multivariable analysis, the association between BS and lower AF recurrence remained significant. Similarly, after weighting and adjusting for the inverse probability of the propensity score, BS was still associated with a lower hazard of AF recurrence (hazard ratio 0.14, 95% confidence interval 0.05-0.39; P = 0.002).

CONCLUSION

Bariatric surgery is associated with a lower AF recurrence after ablation. Morbidly obese patients should be considered for BS prior to AF ablation, though prospective multicentre studies should be performed to confirm our novel finding.

Lifelong Aspirin for All in the Secondary Prevention of Chronic Coronary Syndrome: Still Sacrosanct or Is Reappraisal Warranted?

Four decades have passed since the first trial suggesting the efficacy of aspirin in the secondary prevention of myocardial infarction. Further trials, collectively summarized by the Antithrombotic Trialists' Collaboration, solidified the historical role of aspirin in secondary prevention. Although the benefit of aspirin in the immediate phase after a myocardial infarction remains incontrovertible, a number of emerging lines of evidence, discussed in this narrative review, raise some uncertainty as to the primacy of aspirin for the lifelong management of all patients with chronic coronary syndrome (CCS). For example, data challenging the previously unquestioned role of aspirin in CCS have come from recent trials where aspirin was discontinued in specific clinical scenarios, including early discontinuation of the aspirin component of dual antiplatelet therapy after percutaneous coronary intervention and the withholding of aspirin among patients with both CCS and atrial fibrillation who require anticoagulation. Recent primary prevention trials have also failed to consistently demonstrate net benefit for aspirin in patients treated to optimal contemporary cardiovascular risk factor targets, indicating that the efficacy of aspirin for secondary prevention of CCS may similarly have changed with the addition of more modern secondary prevention therapies. The totality of recent evidence supports further study of the universal need for lifelong aspirin in secondary prevention for all adults with CCS, particularly in stable older patients who are at highest risk for aspirin-induced bleeding.

Early clinical and sociodemographic experience with patients hospitalized with COVID-19 at a large American healthcare system

BACKGROUND

Despite over 4 million cases of novel coronavirus disease 2019 (COVID-19) in the United States, limited data exist including socioeconomic background and post-discharge outcomes for patients hospitalized with this disease.

METHODS

In this case series, we identified patients with COVID-19 admitted to 3 Partners Healthcare hospitals in Boston, Massachusetts between March 7th, 2020, and March 30th, 2020. Patient characteristics, treatment strategies, and outcomes were determined.

FINDINGS

A total of 247 patients hospitalized with COVID-19 were identified; the median age was 61 (interquartile range [IQR]: 50-76 years), 58% were men, 30% of Hispanic ethnicity, 21% enrolled in Medicaid, and 12% dual-enrolled Medicare/Medicaid. The median estimated household income was $66,701 [IQR: $50,336-$86,601]. Most patients were treated with hydroxychloroquine (72%), and statins (76%; newly initiated in 34%). During their admission, 103 patients (42%) required intensive care. At the end of the data collection period (June 24, 2020), 213 patients (86.2%) were discharged alive, 2 patients (0.8%) remain admitted, and 32 patients (13%) have died. Among those discharged alive (n = 213), 70 (32.9%) were discharged to a post-acute facility, 31 (14.6%) newly required supplemental oxygen, 19 (8.9%) newly required tube feeding, and 34 (16%) required new prescriptions for antipsychotics, benzodiazepines, methadone, or opioids. Over a median post-discharge follow-up of 80 days (IQR, 68-84), 22 patients (10.3%) were readmitted.

INTERPRETATION

Patients hospitalized with COVID-19 are frequently of vulnerable socioeconomic status and often require intensive care. Patients who survive COVID-19 hospitalization have substantial need for post-acute services.

Derivation and External Validation of a High-Sensitivity Cardiac Troponin-Based Proteomic Model to Predict the Presence of Obstructive Coronary Artery Disease

Background

Current noninvasive modalities to diagnose coronary artery disease (CAD) have several limitations. We sought to derive and externally validate a hs‐cTn (high‐sensitivity cardiac troponin)–based proteomic model to diagnose obstructive coronary artery disease.

Methods and Results

In a derivation cohort of 636 patients referred for coronary angiography, predictors of ≥70% coronary stenosis were identified from 6 clinical variables and 109 biomarkers. The final model was first internally validated on a separate cohort (n=275) and then externally validated on a cohort of 241 patients presenting to the ED with suspected acute myocardial infarction where ≥50% coronary stenosis was considered significant. The resulting model consisted of 3 clinical variables (male sex, age, and previous percutaneous coronary intervention) and 3 biomarkers (hs‐cTnI [high‐sensitivity cardiac troponin I], adiponectin, and kidney injury molecule‐1). In the internal validation cohort, the model yielded an area under the receiver operating characteristic curve of 0.85 for coronary stenosis ≥70% (P<0.001). At the optimal cutoff, we observed 80% sensitivity, 71% specificity, a positive predictive value of 83%, and negative predictive value of 66% for ≥70% stenosis. Partitioning the score result into 5 levels resulted in a positive predictive value of 97% and a negative predictive value of 89% at the highest and lowest levels, respectively. In the external validation cohort, the score performed similarly well. Notably, in patients who had myocardial infarction neither ruled in nor ruled out via hs‐cTnI testing (“indeterminate zone,” n=65), the score had an area under the receiver operating characteristic curve of 0.88 (P<0.001).

Conclusions

A model including hs‐cTnI can predict the presence of obstructive coronary artery disease with high accuracy including in those with indeterminate hs‐cTnI concentrations.

Myocardial Injury in the Era of High-Sensitivity Cardiac Troponin Assays: A Practical Approach for Clinicians

Importance

Traditionally, elevated troponin concentrations were synonymous with myocardial infarction. But with improvements in troponin assays, elevated concentrations without overt myocardial ischemia are now more common; this is referred to as myocardial injury. Physicians may be falsely reassured by the absence of myocardial ischemia; however, recent evidence suggests that myocardial injury is associated with even more detrimental outcomes. Accordingly, this article reviews the definition, epidemiology, differential diagnosis, diagnostic evaluation, and management of myocardial injury.

Observations

Current epidemiological evidence suggests that myocardial injury without overt ischemia represents about 60% of cases of abnormal troponin concentrations when obtained for clinical indications, and 1 in 8 patients presenting to the hospital will have evidence of myocardial injury. Myocardial injury is a concerning prognosis; the 5-year mortality rate is approximately 70%, with a major adverse cardiovascular event rate of 30% in the same period. The differential diagnosis is broad and can be divided into acute and chronic precipitants. The initial workup involves an assessment for myocardial ischemia. If infarction is ruled out, further evaluation includes a detailed history, physical examination, laboratory testing, a 12-lead electrocardiogram, and (if there is no known history of structural or valvular heart disease) an echocardiogram. Unfortunately, no consensus exists on routine management of patients with myocardial injury. Identifying and treating the underlying precipitant is the most practical approach.

Conclusion and Relevance

Myocardial injury is the most common cause of abnormal troponin results, and its incidence will likely increase with an aging population, increasing prevalence of cardiovascular comorbidities, and greater sensitivity of troponin assays. Myocardial injury represents a challenge to clinicians; however, given its serious prognosis, it warrants a thorough evaluation of its underlying precipitant. Future strategies to prevent and/or manage myocardial injury are needed.

Home-Time After Discharge Among Patients With Type 2 Myocardial Infarction

Background Home-time, defined as the time spent alive outside of a healthcare institution, has emerged as a patient-centered health outcome. The discharge locations and distribution of home-time after a type 2 myocardial infarction are unknown. Methods and Results Patients with a type 2 myocardial infarction between October 2017 and May 2018 at Massachusetts General Hospital were included. Patients discharged to hospice or without follow-up data were excluded. Our primary outcome was home-time defined as the number of days lived outside of a hospital, long-term acute care facility, skilled nursing facility, or rehabilitation facility. We identified 359 patients with type 2 myocardial infarction over the study period. Of those discharged alive (N=321), 62.9% were discharged home, and the remainder went to a facility or hospice. Among those with available follow-up data (N=289), the median home-time was 30 (interquartile range [IQR], 16-30) days at 30 days, 171 (IQR, 133-180) days at 180 days, and 347 (IQR, 203-362) days at 365 days. At 1 year, 29 patients (10%) with type 2 myocardial infarction had spent no time at home and only 57 patients (19.7%) spent the entire year alive and at home. At 1 year, postdischarge all-cause mortality was 23.2%, all-cause readmission was 69.2%, and major adverse cardiovascular events (composite of all-cause mortality, recurrent myocardial infarction, or stroke) was 34.9%. Home-time through 1 year correlated strongly with time-to-event all-cause mortality (τ=0.54, P<0.001) and major adverse cardiovascular events (τ=0.52, P<0.001) and modestly with a composite of all-cause mortality or readmission (τ=0.44, P<0.001). Conclusions Home-time is low after a hospitalization for type 2 myocardial infarction and correlates strongly with mortality and major adverse cardiovascular events.

Gender differences in industry payments among cardiologists

BACKGROUND

There is a wage gap among men and women practicing cardiology. Differences in industry funding can be both a consequence of and a contributor to gender differences in salaries. We sought to determine whether gender differences exist in the distribution, types, and amounts of industry payments among men and women in cardiology.

METHODS

In this cross-sectional analysis, we used the Centers for Medicare & Medicaid Services Open Payment program database to obtain 2016 industry payment data for US cardiologists. We also used UK Disclosure data to obtain 2016 industry payments to UK cardiologists. Outcomes included the proportions of male and female cardiologists receiving industry funding and the mean industry payment amounts received by male and female cardiologists. Where possible, we also assessed 2014 and 2015 data in both locations.

RESULTS

Of the 22,848 practicing Centers for Medicare & Medicaid Services US cardiologists in 2016, 20,037 (88%) were men and 2,811 (12%) were women. Proportionally more men than women received industry payments in 2016 (78.0% vs 68.5%, respectively; P < .001). Men received higher overall mean industry payments than women ($6,193.25 vs. $2,501.55, P < .001). Results were similar in 2014 and 2015. Among UK cardiologists, more men (24.4%) than women (13.5%) received industry payments in 2016 (P < .001). However, although the difference in overall industry payments was numerically larger among men compared to women, this did not achieve statistical significance (£2,348.31 vs £1,501.37, respectively, P = .35).

CONCLUSIONS

Industry payments to cardiologists are common, and there are gender differences in these payments on both sides of the Atlantic.

Effect of Neprilysin Inhibition on Various Natriuretic Peptide Assays

BACKGROUND

With sacubitril/valsartan treatment, B-type natriuretic peptide (BNP) concentrations increase; it remains unclear whether change in BNP concentrations is similar across all assays for its measurement. Effects of sacubitril/valsartan on atrial natriuretic peptide (ANP) concentrations in patients are unknown. Lastly, the impact of neprilysin inhibition on mid-regional pro-ANP (MR-proANP), N-terminal pro-BNP (NT-proBNP), proBNP_1-108, or C-type natriuretic peptide (CNP) is not well understood.

OBJECTIVES

This study sought to examine the effects of sacubitril/valsartan on results from different natriuretic peptide assays.

METHODS

Twenty-three consecutive stable patients with heart failure and reduced ejection fraction were initiated and titrated on sacubitril/valsartan. Change in ANP, MR-proANP, BNP (using 5 assays), NT-proBNP (3 assays), proBNP_1-108, and CNP were measured over 3 visits.

RESULTS

Average time to 3 follow-up visits was 22, 46, and 84 days. ANP rapidly and substantially increased with initiation and titration of sacubitril/valsartan, more than doubling by the first follow-up visit (+105.8%). Magnitude of ANP increase was greatest in those with concentrations above the median at baseline (+188%) compared with those with lower baseline concentrations (+44%); ANP increases were sustained. Treatment with sacubitril/valsartan led to inconsistent changes in BNP, which varied across methods assessed. Concentrations of MR-proANP, NT-proBNP, and proBNP_1-108 variably declined after treatment; whereas CNP concentrations showed no consistent change.

CONCLUSIONS

Initiation and titration of sacubitril/valsartan led to variable changes in concentrations of multiple natriuretic peptides. These results provide important insights into the effects of sacubitril/valsartan treatment on individual patient results, and further suggest the benefit of neprilysin inhibition may be partially mediated by increased ANP concentrations.

Longitudinal trajectories of hospital performance across targeted cardiovascular conditions in the USA

AIMS

Thirty-day risk standardized readmission and mortality rates (RSRR, RSMR) are key determinants for hospital performance for cardiovascular conditions such as acute myocardial infarction (AMI) and heart failure (HF). We evaluated whether individual hospitals in the USA perform similarly for HF and AMI over time based on readmission and mortality metrics.

METHODS AND RESULTS

A total of 1950 hospitals in the USA with continuous participation in the Centers for Medicare and Medicaid Services (CMS) public reporting programme between 2010 and 2016 were identified. Latent mixture modelling was used to define performance trajectory groups. Overall, there were consistent declines in the RSMR (16.1-14.0%) and RSRR (20.3-16.6%) for AMI from 2010 to 2016. For HF, RSRR declined over time (25.1-21.7%), while there was a modest increase in RSMR (11.3-12.0%); parallel findings were observed across performance trajectory groups. The proportion of best performing centres for HF care that were also best performers for AMI care based on the 30-day RSMR and 30-day RSRR metric was 54% and 35%, respectively. Furthermore, the discordance rate between the best and worst performers for both conditions was low (<2% for both 30-day outcomes).

CONCLUSION

In the USA, despite variation in baseline hospital-level outcomes, hospitals had consistent longitudinal trajectories (worsening or improvement) across conditions and metrics. Hospitals identified as high performing were frequently similar across target conditions and over time, suggesting that performance may be driven by systems of care influencing different disease states in a comparable manner.