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DISCLAIMER: In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time. PURPOSE: Compared to estimated population prevalence rates, relatively few patients at risk are diagnosed with and treated for transthyretin cardiac amyloidosis (ATTR-CA). Where along the clinical pathway patient drop-off occurs, as well as the association of drop-off with patient sociodemographic characteristics, remains unknown. METHODS: Using data from a healthcare system-wide cardiovascular imaging repository and specialty pharmacy, we characterized the clinical pathway from diagnosis with pyrophosphate scintigraphy (PYP) to tafamidis prescription, initiation, and adherence. Standardized differences (d values of ≥0.20, indicating at least a small effect size) were used to compare sociodemographics (age, sex, race, Area Deprivation Index) among patients with PYP-identified ATTR-CA by tafamidis prescription status and among patients prescribed tafamidis by initiation status. Tafamidis adherence was measured with the proportion of days covered (PDC). RESULTS: Of 97 patients with ATTR-CA, 58.8% were prescribed tafamidis, with 80.7% of those initiating therapy. Patients with ATTR-CA prescribed tafamidis were younger than those not prescribed tafamidis (d = -0.30). Utilization of a specialty pharmacy resulted in enrichment of treatment in subgroups traditionally undertreated in cardiovascular medicine, with higher rates of tafamidis initiation among women (100% initiation), patients of Black/African American race (d = 0.40), and those living in more economically disadvantaged areas (d ≥ 0.30). Adherence was high (PDC of >80%) in 88.4% of those initiating tafamidis. CONCLUSION: These findings highlight the tremendous opportunity for more robust ATTR-CA clinical programs, identifying potential patient subgroups that should be targeted to reduce disparities. For patients diagnosed with ATTR-CA, utilization of a specialty pharmacy process appears to ensure equitable provision of tafamidis therapy.
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BACKGROUND: Diabetes mellitus (DM) and Lp(a) are well-established predictors of coronary artery disease (CAD) outcomes. However, their combined association remains poorly understood. OBJECTIVE: To investigate the relationship between elevated Lp(a) and DM with CAD outcomes. METHODS: Retrospective analysis of the MGB Lp(a) Registry involving patients ≥ 18 years who underwent Lp(a) measurements between 2000 and 2019. Exclusion criteria were severe kidney dysfunction, malignant neoplasms, and prior atherosclerotic cardiovascular disease (ASCVD). The primary outcome was a combination of cardiovascular death or myocardial infarction (MI). Elevated Lp(a) was defined as > 90th percentile (≥ 216 nmol/L). RESULTS: Among 6,238 patients who met the eligibility criteria, the median age was 54, 45% were women, and 12% had DM. Patients with DM were older, more frequently male, and had a higher prevalence of additional cardiovascular risk factors. Over a median follow-up of 12.9 years, patients with either DM or elevated Lp(a) experienced higher rates of the primary outcome. Notably, those with elevated Lp(a) had a higher incidence of the primary outcome regardless of their DM status. The annual event rates were as follows: No-DM and Lp(a) < 90th% - 0.6%; No-DM and Lp(a) > 90th% - 1.3%; DM and Lp(a) < 90th% - 1.9%; DM and Lp(a) > 90th% - 4.7% (p < 0.001). After adjusting for confounders, elevated Lp(a) remained independently associated with the primary outcome among both patients with DM (HR = 2.66 [95%CI: 1.55-4.58], p < 0.001) and those without DM (HR = 2.01 [95%CI: 1.48-2.74], p < 0.001). CONCLUSIONS: Elevated Lp(a) constitutes an independent and incremental risk factor for CAD outcomes in patients with and without DM.
Subject(s)
Biomarkers , Coronary Artery Disease , Diabetes Mellitus , Heart Disease Risk Factors , Lipoprotein(a) , Registries , Humans , Male , Female , Lipoprotein(a)/blood , Middle Aged , Retrospective Studies , Risk Assessment , Diabetes Mellitus/epidemiology , Diabetes Mellitus/diagnosis , Diabetes Mellitus/blood , Aged , Biomarkers/blood , Coronary Artery Disease/blood , Coronary Artery Disease/epidemiology , Coronary Artery Disease/diagnosis , Coronary Artery Disease/mortality , Adult , Time Factors , Prognosis , Incidence , Up-Regulation , Prevalence , Myocardial Infarction/epidemiology , Myocardial Infarction/blood , Myocardial Infarction/diagnosis , Myocardial Infarction/mortalityABSTRACT
BACKGROUND: Lipoprotein (a) [Lp(a)] is a robust predictor of coronary heart disease outcomes, with targeted therapies currently under investigation. We aimed to evaluate the association of high Lp(a) with standard modifiable risk factors (SMuRFs) for incident first acute myocardial infarction (AMI). METHODS AND RESULTS: This retrospective study used the Mass General Brigham Lp(a) Registry, which included patients aged ≥18 years with an Lp(a) measurement between 2000 and 2019. Exclusion criteria were severe kidney dysfunction, malignant neoplasm, and prior known atherosclerotic cardiovascular disease. Diabetes, dyslipidemia, hypertension, and smoking were considered SMuRFs. High Lp(a) was defined as >90th percentile, and low Lp(a) was defined as <50th percentile. The primary outcome was fatal or nonfatal AMI. A combination of natural language processing algorithms, International Classification of Diseases (ICD) codes, and laboratory data was used to identify the outcome and covariates. A total of 6238 patients met the eligibility criteria. The median age was 54 (interquartile range, 43-65) years, and 45% were women. Overall, 23.7% had no SMuRFs, and 17.8% had ≥3 SMuRFs. Over a median follow-up of 8.8 (interquartile range, 4.2-12.8) years, the incidence of AMI increased gradually, with higher number of SMuRFs among patients with high (log-rank P=0.031) and low Lp(a) (log-rank P<0.001). Across all SMuRF subgroups, the incidence of AMI was significantly higher for patients with high Lp(a) versus low Lp(a). The risk of high Lp(a) was similar to having 2 SMuRFs. Following adjustment for confounders and number of SMuRFs, high Lp(a) remained significantly associated with the primary outcome (hazard ratio, 2.9 [95% CI, 2.0-4.3]; P<0.001). CONCLUSIONS: Among patients with no prior atherosclerotic cardiovascular disease, high Lp(a) is associated with significantly higher risk for first AMI regardless of the number of SMuRFs.
Subject(s)
Heart Disease Risk Factors , Lipoprotein(a) , Myocardial Infarction , Registries , Humans , Female , Lipoprotein(a)/blood , Male , Middle Aged , Myocardial Infarction/epidemiology , Myocardial Infarction/blood , Myocardial Infarction/diagnosis , Retrospective Studies , Aged , Incidence , Adult , Risk Assessment/methods , Biomarkers/blood , Risk FactorsABSTRACT
BACKGROUND: Lipoprotein(a) [Lp(a)] is associated with an increased risk of atherosclerotic cardiovascular disease (ASCVD). However, whether the optimal Lp(a) threshold for risk assessment should differ based on baseline ASCVD status is unknown. OBJECTIVES: The purpose of this study was to assess the association between Lp(a) and major adverse cardiovascular events (MACE) among patients with and without baseline ASCVD. METHODS: We studied a retrospective cohort of patients with Lp(a) measured at 2 medical centers in Boston, Massachusetts, from 2000 to 2019. To assess the association of Lp(a) with incident MACE (nonfatal myocardial infarction [MI], nonfatal stroke, coronary revascularization, or cardiovascular mortality), Lp(a) percentile groups were generated with the reference group set at the first to 50th Lp(a) percentiles. Cox proportional hazards modeling was used to assess the association of Lp(a) percentile group with MACE. RESULTS: Overall, 16,419 individuals were analyzed with a median follow-up of 11.9 years. Among the 10,181 (62%) patients with baseline ASCVD, individuals in the 71st to 90th percentile group had a 21% increased hazard of MACE (adjusted HR: 1.21; P < 0.001), which was similar to that of individuals in the 91st to 100th group (adjusted HR: 1.26; P < 0.001). Among the 6,238 individuals without established ASCVD, there was a continuously higher hazard of MACE with increasing Lp(a), and individuals in the 91st to 100th Lp(a) percentile group had the highest relative risk with an adjusted HR of 1.93 (P < 0.001). CONCLUSIONS: In a large, contemporary U.S. cohort, elevated Lp(a) is independently associated with long-term MACE among individuals with and without baseline ASCVD. Our results suggest that the threshold for risk assessment may be different in primary vs secondary prevention cohorts.
Subject(s)
Atherosclerosis , Cardiovascular Diseases , Humans , Lipoprotein(a) , Cardiovascular Diseases/etiology , Retrospective Studies , Atherosclerosis/complications , Atherosclerosis/epidemiology , Risk Assessment , Risk FactorsABSTRACT
OBJECTIVES: To investigate risk factors and outcomes of cardiogenic shock complicating acute myocardial infarction (AMI-CS) in young patients with AMI. BACKGROUND: AMI-CS is associated with high morbidity and mortality rates. Data regarding AMI-CS in younger individuals are limited. METHODS AND RESULTS: Consecutive patients with type 1 AMI aged 18-50 years admitted to 2 large tertiary-care academic centers were included, and they were adjudicated as having cardiogenic shock (CS) by physician review of electronic medical records using the Society for Cardiovascular Angiography and Interventions CS classification system. Outcomes included all-cause mortality (ACM), cardiovascular mortality (CVM) and 1-year hospitalization for heart failure (HHF). In addition to using the full population, matching was also used to define a comparator group in the non-CS cohort. Among 2097 patients (mean age 44 ± 5.1 years, 74% white, 19% female), AMI-CS was present in 148 (7%). Independent risk factors of AMI-CS included ST-segment elevation myocardial infarction, left main disease, out-of-hospital cardiac arrest, female sex, peripheral vascular disease, and diabetes. Over median follow-up of 11.2 years, young patients with AMI-CS had a significantly higher risk of ACM (adjusted HR 2.84, 95% CI 1.68-4.81; P < 0.001), CVM (adjusted HR 4.01, 95% CI 2.17-7.71; P < 0.001), and 1-year HHF (adjusted HR 5.99, 95% CI 2.04-17.61; Pâ¯=â¯0.001) compared with matched non-AMI-CS patients. Over the course of the study, there was an increase in the incidence of AMI-CS among young patients with MI as well as rising mortality rates for patients with both AMI-CS and non-AMI-CS. CONCLUSIONS: Of young patients with AMI, 7% developed AMI-CS, which was associated with a significantly elevated risk of mortality and HHF.
Subject(s)
Heart Failure , Myocardial Infarction , ST Elevation Myocardial Infarction , Humans , Female , Young Adult , Adult , Middle Aged , Male , Shock, Cardiogenic/epidemiology , Shock, Cardiogenic/etiology , Heart Failure/diagnosis , Heart Failure/epidemiology , Heart Failure/complications , Myocardial Infarction/complications , Myocardial Infarction/epidemiology , ST Elevation Myocardial Infarction/complications , ST Elevation Myocardial Infarction/epidemiology , Risk Factors , Hospital MortalityABSTRACT
Background Transthyretin cardiac amyloidosis (ATTR-CMP) is an increasingly recognized and treatable cause of heart failure with preserved ejection fraction. Multimodality cardiac imaging is recommended for ATTR-CMP diagnosis, but its cost-effectiveness in current clinical practice has not been well studied. Methods and Results Using a microsimulation model, we compared the cost-effectiveness of a combination of strategies involving 99mtechnetium pyrophosphate (PYP), cardiac magnetic resonance imaging, and endomyocardial biopsy for the diagnosis of ATTR-CMP. We developed a decision analytic model to project health care costs and lifetime quality-adjusted life years for symptomatic, older patients who present with congestive heart failure, with an increased left ventricular wall thickness and a 13% prevalence of ATTR-CMP. Rates of clinical events, costs, and quality-of-life values were estimated from published literature. The analysis was conducted from a US health care system perspective with health and cost outcomes discounted annually at 3%. In the base-case scenario, using a fixed tafamidis price of $16 000 annually (previously identified cost-effective price), total health care costs per person were lowest for the PYP-only strategy ($209 415) and highest for endomyocardial biopsy strategy ($215 881). Of the 7 strategies examined, the PYP-only strategy had the highest net monetary benefit using a willingness-to-pay threshold of $100 000/quality-adjusted life year. Results were sensitive to variations in model inputs for PYP and cardiac magnetic resonance imaging specificity, cost of tafamidis, and willingness-to-pay thresholds. Conclusions Our model-based analyses showed that a PYP-only strategy to diagnose ATTR-CMP is the most cost-effective strategy, at willingness-to-pay threshold of $100 000/quality-adjusted life year. At higher threshold ($150 000/quality-adjusted life year), sequential tests involving PYP and cardiac magnetic resonance imaging may be considered cost effective.
Subject(s)
Amyloidosis , Cardiomyopathies , Heart Failure , Humans , Diphosphates , Prealbumin , TechnetiumABSTRACT
Background: Although troponin elevation is associated with worse outcomes among patients with coronavirus disease 2019 (COVID-19), prognostic implications of serial troponin testing are lacking. We investigated the association between serial troponin measurements and adverse COVID-19 outcomes. Methods: Using Danish registries, we identified COVID-19 patients with a high-sensitivity troponin measurement followed by a second measurement within 1-24 h. All measurements during follow-up were also utilized in subsequent time-varying analyses. We assessed all-cause mortality associated with the absence/presence of myocardial injury (≥1 troponin measurement >99th percentile upper reference limit) and absence/presence of dynamic troponin changes (>20% relative change if first measurement elevated, >50% relative change if first measurement normal). Results: Of 346 included COVID-19 patients, 56% had myocardial injury. Overall, 20% had dynamic troponin changes. In multivariable Cox regression models, myocardial injury was associated with all-cause mortality (HR = 2.56, 95%CI = 1.46-4.51), as were dynamic troponin changes (HR = 1.66, 95%CI = 1.04-2.64). We observed a low incidence of myocardial infarction (4%) and invasive coronary procedures (4%) among patients with myocardial injury. Conclusions: Myocardial injury and dynamic troponin changes determined using serial high-sensitivity troponin testing were associated with poor prognosis among patients with COVID-19. The risk of developing myocardial infarction requiring invasive management during COVID-19 hospitalization was low.
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BACKGROUND: Current risk scores to estimate atherosclerotic cardiovascular disease (ASCVD) risk and allocate statins in at-risk persons have largely been developed in Western populations; their applicability in India is uncertain. OBJECTIVE: To assess eligibility for primary prevention statin therapy using the 2018 U.S Multisociety Guideline and other contemporary cholesterol guidelines in patients presenting with ST-elevation myocardial infarction (STEMI) in the North India STEMI (NORIN-STEMI) registry. METHODS: NORIN-STEMI registry prospectively enrolled 3,635 patients at 2 tertiary care centers in Delhi, India from January 2019 to February 2020. Pooled cohort risk equations were used to estimate ASCVD risk at presentation. Patients were evaluated for statin eligibility using the 2018 U.S Multisociety Guideline, United States Preventive Services Task Force (USPSTF), and National Cholesterol Education Program (NCEP) III cholesterol guidelines. RESULTS: A total of 2,551 met the inclusion criteria. The median age was 54 years; 17% were women. The median ASCVD risk was 7.0%. At the time of MI, 54% of patients were eligible for primary prevention statin therapy by Multisociety Guideline, 46% by USPSTF, and 30% by NCEP III guidelines. These findings were applicable in both women and men. Compared with patients aged ≥50 years, those <50 years were less likely to be recommended statin therapy by all the three guidelines. CONCLUSION: A significant proportion of patients with STEMI in India did not meet the current guideline-based threshold for statin therapy for primary prevention. Novel risk stratification tools are needed to identify patients for primary prevention statin therapy in this population.
Subject(s)
Atherosclerosis , Cardiovascular Diseases , Hydroxymethylglutaryl-CoA Reductase Inhibitors , ST Elevation Myocardial Infarction , Cardiovascular Diseases/prevention & control , Cholesterol , Female , Humans , Hydroxymethylglutaryl-CoA Reductase Inhibitors/therapeutic use , Male , Middle Aged , Primary Prevention , Registries , Risk Factors , ST Elevation Myocardial Infarction/drug therapy , United StatesABSTRACT
AIMS: Autoimmune systemic inflammatory diseases (SIDs) are associated with an increased risk of cardiovascular (CV) disease, particularly myocardial infarction (MI). However, there are limited data on the prevalence and effects of SID among adults who experience an MI at a young age. We sought to determine the prevalence and prognostic implications of SID among adults who experienced an MI at a young age. METHODS AND RESULTS: The YOUNG-MI registry is a retrospective cohort study from two large academic centres, which includes patients who experienced a first MI at 50 years of age or younger. SID was ascertained through physician review of the electronic medical record (EMR). Incidence of death was ascertained through the EMR and national databases. The cohort consisted of 2097 individuals, with 53 (2.5%) possessing a diagnosis of SID. Patients with SID were more likely to be female (36% vs. 19%, P = 0.004) and have hypertension (62% vs. 46%, P = 0.025). Over a median follow-up of 11.2 years, patients with SID experienced an higher risk of all-cause mortality compared with either the full cohort of non-SID patients [hazard ratio (HR) = 1.95, 95% confidence interval (CI) (1.07-3.57), P = 0.030], or a matched cohort based on age, gender, and CV risk factors [HR = 2.68, 95% CI (1.18-6.07), P = 0.018]. CONCLUSIONS: Among patients who experienced a first MI at a young age, 2.5% had evidence of SID, and these individuals had higher rates of long-term all-cause mortality. Our findings suggest that the presence of SID is associated with worse long-term survival after premature MI.
Subject(s)
Myocardial Infarction , Child, Preschool , Cohort Studies , Female , Humans , Male , Myocardial Infarction/diagnosis , Myocardial Infarction/epidemiology , Myocardial Infarction/etiology , Proportional Hazards Models , Registries , Retrospective Studies , Risk Factors , Young AdultABSTRACT
BACKGROUND: Prevalence of both degenerative severe aortic stenosis (AS) and transthyretin cardiac amyloidosis (ATTR-CA) increases with age. Dual disease (AS+myocardial ATTR-CA) occurs in significant proportion of patients undergoing surgical aortic valve replacement (SAVR). OBJECTIVES: This study aimed to determine the prevalence of ATTR-CA in severe AS in the Indian population, identify noninvasive predictors of its diagnosis, and understand its impact on prognosis. METHODS: Symptomatic severe AS patients aged ≥65 years undergoing SAVR were enrolled. ATTR-CA diagnosis was based on preoperative 99m-technetium pyrophosphate (PYP) scan and intraoperatively obtained basal interventricular septum biopsy for myocardial ATTR-CA, and excised native aortic valve for isolated valvular ATTR-CA. Primary amyloidosis was excluded by serum/urine protein electrophoresis with serum immunofixation. RESULTS: SAVR was performed in 46 AS patients (age 70 ± 5 years, 70% men). PYP scan was performed for 32 patients, with significant PYP uptake in 3 (n = 3 of 32, 9.4%), suggestive of myocardial ATTR-CA. On histopathological examination, none of the interventricular septum biopsy specimens had amyloid deposits, whereas 33 (71.7%) native aortic valves showed amyloid deposits, of which 19 (57.6%) had transthyretin deposition suggestive of isolated valvular amyloidosis. Noninvasive markers of dual disease included low myocardial contraction fraction (median [interquartile range], 28.8% [23.8% to 39.1%] vs 15.3% [9.3% to 16.1%]; P = 0.006), deceleration time (215 [144 to 236] ms vs 88 [60 to 106] ms; P = 0.009) and global longitudinal strain (-18.7% [-21.1% to -16.9%] vs -14.2% [-17.0% to -9.7%]; P = 0.030). At 1-year follow-up, 2 patients died (4.3%); 1 each in myocardial ATTR-CA negative and positive groups (3.4% vs 33.3%; P = 0.477). CONCLUSIONS: Dual disease is not uncommon in India. Isolated valvular amyloidosis in severe AS is much more common.
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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.
Subject(s)
Anterior Wall Myocardial Infarction , Heart Failure , Anterior Wall Myocardial Infarction/epidemiology , Heart Failure/diagnosis , Heart Failure/epidemiology , Hospitalization , Humans , Stroke Volume , Ventricular Function, LeftABSTRACT
INTRODUCTION: Although both obesity and coronavirus disease 2019 (COVID-19) independently induce inflammation and thrombosis, the association between obesity class and risk of thrombosis in patients with COVID-19 remains unclear. METHODS: This retrospective cohort study included consecutive patients hospitalized with COVID-19 at a single institution. Patients were categorized based on obesity class. The main outcomes were venous thromboembolism (VTE) and myocardial injury, a marker of microvascular thrombosis in COVID-19. Adjustments were made for sociodemographic variables, cardiovascular disease risk factors and comorbidities. RESULTS: 609 patients with COVID-19 were included. 351 (58%) patients were without obesity, 110 (18%) were patients with class I obesity, 76 (12%) were patients with class II obesity, and 72 (12%) were patients with class III obesity. Patients with class I and III obesity had significantly higher risk-adjusted odds of VTE compared to patients without obesity (OR = 2.54, 95% CI: 1.05-6.14 for class I obesity; and OR = 3.95, 95% CI: 1.40-11.14 for class III obesity). Patients with class III obesity had significantly higher risk-adjusted odds of myocardial injury compared to patients without obesity (OR = 2.15, 95% CI: 1.12-4.12). Both VTE and myocardial injury were significantly associated with greater risk-adjusted odds of mortality. CONCLUSION: This study demonstrates that both macrovascular and microvascular thromboses may contribute to the elevated morbidity and mortality in patients with obesity and COVID-19.
Subject(s)
COVID-19 , Venous Thromboembolism , Humans , Obesity/complications , Retrospective Studies , Risk Factors , SARS-CoV-2 , Venous Thromboembolism/epidemiology , Venous Thromboembolism/etiologyABSTRACT
Importance: Socioeconomic disadvantage is associated with poor health outcomes. However, whether socioeconomic factors are associated with post-myocardial infarction (MI) outcomes in younger patient populations is unknown. Objective: To evaluate the association of neighborhood-level socioeconomic disadvantage with long-term outcomes among patients who experienced an MI at a young age. Design, Setting, and Participants: This cohort study analyzed patients in the Mass General Brigham YOUNG-MI Registry (at Brigham and Women's Hospital and Massachusetts General Hospital in Boston, Massachusetts) who experienced an MI at or before 50 years of age between January 1, 2000, and April 30, 2016. Each patient's home address was mapped to the Area Deprivation Index (ADI) to capture higher rates of socioeconomic disadvantage. The median follow-up duration was 11.3 years. The dates of analysis were May 1, 2020, to June 30, 2020. Exposures: Patients were assigned an ADI ranking according to their home address and then stratified into 3 groups (least disadvantaged group, middle group, and most disadvantaged group). Main Outcomes and Measures: The outcomes of interest were all-cause and cardiovascular mortality. Cause of death was adjudicated from national registries and electronic medical records. Cox proportional hazards regression modeling was used to evaluate the association of ADI with all-cause and cardiovascular mortality. Results: The cohort consisted of 2097 patients, of whom 2002 (95.5%) with an ADI ranking were included (median [interquartile range] age, 45 [42-48] years; 1607 male individuals [80.3%]). Patients in the most disadvantaged neighborhoods were more likely to be Black or Hispanic, have public insurance or no insurance, and have higher rates of traditional cardiovascular risk factors such as hypertension and diabetes. Among the 1964 patients who survived to hospital discharge, 74 (13.6%) in the most disadvantaged group compared with 88 (12.6%) in the middle group and 41 (5.7%) in the least disadvantaged group died. Even after adjusting for a comprehensive set of clinical covariates, higher neighborhood disadvantage was associated with a 32% higher all-cause mortality (hazard ratio, 1.32; 95% CI, 1.10-1.60; P = .004) and a 57% higher cardiovascular mortality (hazard ratio, 1.57; 95% CI, 1.17-2.10; P = .003). Conclusions and Relevance: This study found that, among patients who experienced an MI at or before age 50 years, socioeconomic disadvantage was associated with higher all-cause and cardiovascular mortality even after adjusting for clinical comorbidities. These findings suggest that neighborhood and socioeconomic factors have an important role in long-term post-MI survival.
Subject(s)
Cardiovascular Diseases/mortality , Myocardial Infarction/therapy , Neighborhood Characteristics , Social Determinants of Health , Adult , Age of Onset , Cardiac Catheterization/statistics & numerical data , Cause of Death , Comorbidity , Diabetes Mellitus/epidemiology , Female , Heart Disease Risk Factors , Humans , Hypertension/epidemiology , Insurance, Health , Male , Medically Uninsured , Middle Aged , Mortality , Myocardial Infarction/epidemiology , Myocardial Revascularization/statistics & numerical data , Proportional Hazards Models , Registries , Socioeconomic Factors , Substance-Related Disorders , Tobacco Smoking/epidemiology , United StatesABSTRACT
OBJECTIVES: The aim of this study was to examine patterns of care and clinical outcomes among patients with heart failure with reduced ejection fraction (HFrEF) in the United States and Canada. BACKGROUND: In the GUIDE-IT (Guiding Evidence Based Therapy Using Biomarker Intensified Treatment) trial, the use of N-terminal pro-B-type natriuretic peptide-guided titration of guideline-directed medical therapy (GDMT) was compared with usual care alone for patients with HFrEF in the United States and Canada. It remains unknown whether the country of enrollment had an impact on outcomes or GDMT use. METHODS: A total of 894 patients at 45 sites across the United States and Canada with HFrEF (ejection fraction ≤40%) were enrolled in the trial. Kaplan-Meier survival estimates stratified by country of enrollment were developed for the trial outcomes, and log-rank testing was compared between the groups. GDMT use and titration were also compared. RESULTS: U.S. patients were more likely to be younger, to be Black, to have higher body mass index, and to have histories of defibrillator placement or sleep apnea. Use of ß-blockers was significantly higher in Canada at baseline (99.3% vs. 94.0%; p = 0.01) and 6 months (99.0% vs. 94.1%; p = 0.04), and use of mineralocorticoid receptor antagonists was higher in Canada at 6 months (68.3% vs. 55.1%; p = 0.01). Canadian patients were less likely to experience the primary study endpoint (hazard ratio [HR]: 0.65; 95% confidence interval [CI]: 0.45 to 0.93; p = 0.01) due to decreased rates of HF hospitalization (HR: 0.57; 95% CI: 0.38 to 0.86; p = 0.003). The differences in outcomes were driven by increased heart failure hospitalization among U.S. Black patients. CONCLUSIONS: In GUIDE-IT, patients with HFrEF in Canada were significantly less likely to be hospitalized for heart failure. Differences in GDMT use, along with differences in sociodemographics and care delivery structures, may contribute to these differences, highlighting the importance of increasing diversity in clinical trials. (Guiding Evidence Based Therapy Using Biomarker Intensified Treatment [GUIDE-IT]; NCT01685840).
Subject(s)
Heart Failure , Canada/epidemiology , Heart Failure/drug therapy , Hospitalization , Humans , Mineralocorticoid Receptor Antagonists/therapeutic use , Practice Guidelines as Topic , Stroke Volume , United States/epidemiologyABSTRACT
OBJECTIVE: Severe acute respiratory syndrome virus (SARS-CoV-2) has infected millions of people worldwide. Our goal was to identify risk factors associated with admission and disease severity in patients with SARS-CoV-2. DESIGN: This was an observational, retrospective study based on real-world data for 7,995 patients with SARS-CoV-2 from a clinical data repository. SETTING: Yale New Haven Health (YNHH) is a five-hospital academic health system serving a diverse patient population with community and teaching facilities in both urban and suburban areas. POPULATIONS: The study included adult patients who had SARS-CoV-2 testing at YNHH between March 1 and April 30, 2020. MAIN OUTCOME AND PERFORMANCE MEASURES: Primary outcomes were admission and in-hospital mortality for patients with SARS-CoV-2 infection as determined by RT-PCR testing. We also assessed features associated with the need for respiratory support. RESULTS: Of the 28605 patients tested for SARS-CoV-2, 7995 patients (27.9%) had an infection (median age 52.3 years) and 2154 (26.9%) of these had an associated admission (median age 66.2 years). Of admitted patients, 2152 (99.9%) had a discharge disposition at the end of the study period. Of these, 329 (15.3%) required invasive mechanical ventilation and 305 (14.2%) expired. Increased age and male sex were positively associated with admission and in-hospital mortality (median age 80.7 years), while comorbidities had a much weaker association with the risk of admission or mortality. Black race (OR 1.43, 95%CI 1.14-1.78) and Hispanic ethnicity (OR 1.81, 95%CI 1.50-2.18) were identified as risk factors for admission, but, among discharged patients, age-adjusted in-hospital mortality was not significantly different among racial and ethnic groups. CONCLUSIONS: This observational study identified, among people testing positive for SARS-CoV-2 infection, older age and male sex as the most strongly associated risks for admission and in-hospital mortality in patients with SARS-CoV-2 infection. While minority racial and ethnic groups had increased burden of disease and risk of admission, age-adjusted in-hospital mortality for discharged patients was not significantly different among racial and ethnic groups. Ongoing studies will be needed to continue to evaluate these risks, particularly in the setting of evolving treatment guidelines.
Subject(s)
COVID-19/epidemiology , Adolescent , Adult , Aged , Aged, 80 and over , COVID-19/diagnosis , COVID-19/mortality , COVID-19/therapy , COVID-19 Testing , Cohort Studies , Female , Hospital Mortality , Humans , Male , Middle Aged , Prognosis , Retrospective Studies , Treatment Outcome , Young AdultABSTRACT
Individuals with established cardiovascular disease or a high burden of cardiovascular risk factors may be particularly vulnerable to develop complications from coronavirus disease 2019 (COVID-19). We conducted a prospective cohort study at a tertiary care center to identify risk factors for in-hospital mortality and major adverse cardiovascular events (MACE; a composite of myocardial infarction, stroke, new acute decompensated heart failure, venous thromboembolism, ventricular or atrial arrhythmia, pericardial effusion, or aborted cardiac arrest) among consecutively hospitalized adults with COVID-19, using multivariable binary logistic regression analysis. The study population comprised 586 COVID-19 positive patients. Median age was 67 (IQR: 55 to 80) years, 47.4% were female, and 36.7% had cardiovascular disease. Considering risk factors, 60.2% had hypertension, 39.8% diabetes, and 38.6% hyperlipidemia. Eighty-two individuals (14.0%) died in-hospital, and 135 (23.0%) experienced MACE. In a model adjusted for demographic characteristics, clinical presentation, and laboratory findings, age (odds ratio [OR], 1.28 per 5 years; 95% confidence interval [CI], 1.13 to 1.45), previous ventricular arrhythmia (OR, 18.97; 95% CI, 3.68 to 97.88), use of P2Y12-inhibitors (OR, 7.91; 95% CI, 1.64 to 38.17), higher C-reactive protein (OR, 1.81: 95% CI, 1.18 to 2.78), lower albumin (OR, 0.64: 95% CI, 0.47 to 0.86), and higher troponin T (OR, 1.84; 95% CI, 1.39 to 2.46) were associated with mortality (p <0.05). After adjustment for demographics, presentation, and laboratory findings, predictors of MACE were higher respiratory rates, altered mental status, and laboratory abnormalities, including higher troponin T (p <0.05). In conclusion, poor prognostic markers among hospitalized patients with COVID-19 included older age, pre-existing cardiovascular disease, respiratory failure, altered mental status, and higher troponin T concentrations.
Subject(s)
COVID-19/epidemiology , Cardiovascular Diseases/epidemiology , Registries , Aged , Aged, 80 and over , Comorbidity , Female , Hospital Mortality , Humans , Male , Middle Aged , Prospective Studies , Risk Factors , SARS-CoV-2 , Survival Rate/trends , United States/epidemiologyABSTRACT
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Subject(s)
Arrhythmias, Cardiac/epidemiology , COVID-19/epidemiology , Global Health/trends , Aged , Arrhythmias, Cardiac/mortality , Arrhythmias, Cardiac/physiopathology , Arrhythmias, Cardiac/therapy , COVID-19/mortality , COVID-19/therapy , Cardiac Electrophysiology/trends , Comorbidity , Electrophysiologic Techniques, Cardiac/trends , Female , Health Care Surveys , Healthcare Disparities , Humans , Incidence , Male , Middle Aged , Practice Patterns, Physicians'/trends , Prevalence , Prognosis , Retrospective Studies , Risk Assessment , Time FactorsABSTRACT
BACKGROUND: An upcoming national mandate will require consultation of appropriate use criteria (AUC) through a clinical decision support mechanism (CDSM) for advanced imaging. We aimed to evaluate our current ability to ascertain test appropriateness. METHODS: We prospectively collected data on 288 consecutive stress tests and coronary computed tomography angiography studies for medical inpatients. Study appropriateness was determined independently by two physicians using the 2013 Multimodality AUC. RESULTS: The median age of the study population was 66 years [interquartile range (IQR) 56, 75], 40.8% were female, and 52.8% had a history of coronary artery disease. Review of the electronic health record (EHR) alone was sufficient to deem appropriateness for 87.2% of cases. The most common reason it was insufficient was inability to determine if the patient could exercise (59.5%). After reviewing the EHR and pilot CDSM data together, appropriateness could be determined for 95.8% of the cases. The most common reason appropriateness could not be determined was that the exam indication was not addressed by an AUC criterion (83.3%). CONCLUSION: In preparing for the mandate, it will be important for future CDSM to obtain information on the patient's ability to exercise and for future AUC to include additional indications that are not currently addressed.