Disparities by sex, race, and region in acute myocardial infarction-related outcomes during the early COVID-19 pandemic: the national inpatient sample analysis.

BACKGROUND: Disparities in acute myocardial infarction (AMI)-related outcomes have been reported before the COVID-19 pandemic. We studied in-hospital outcomes of AMI across demographic groups in the United States during the early COVID-19 pandemic. METHODS: The National Inpatient Sample (NIS) database was queried for 2020 to identify AMI-related hospitalizations based on appropriate ICD-10-CM codes categorized by sex, race, and hospital region categories. The primary outcome was in-hospital mortality in females, racial and ethnic minority groups, and Northeast hospital region compared with males, White patients, and Midwest hospital region, respectively. Multivariable regression analysis was used to calculate the adjusted odds ratio and mean difference. RESULTS: A total of 820,893 AMI-related hospitalizations were identified during the study period. On adjusted analysis, during the early COVID-19 pandemic, females had lower odds of in-hospital mortality [aOR 0.89 (0.85-0.92); P < 0.01] and revascularization [aOR 0.68 (0.66-0.69); P < 0.01] than males. Racial and ethnic based analysis showed that Asian/Pacific Islander patients had higher odds of in-hospital mortality [aOR 1.13 (1.03-1.25); P < 0.01] than White patients. During the early COVID-19 pandemic, Northeast and Western region hospitals had higher odds of in-hospital mortality, lower odds of revascularization, longer length of stay, and higher total hospitalization costs than Midwest region hospitals. CONCLUSIONS: Our study disclosed disparities in AMI-related mortality and revascularization by sex, race and ethnic, and region during the early COVID-19 pandemic. Special attention should be given to at-risk populations. Whether these disparities continue in the post-vaccination era warrants further study.

Sex and Racial Disparities in Proportionate Mortality of Premature Myocardial Infarction in the United States: 1999 to 2020.

BACKGROUND: The incidence of premature myocardial infarction (PMI) in women (<65 years and men <55 years) is increasing. We investigated proportionate mortality trends in PMI stratified by sex, race, and ethnicity. METHODS AND RESULTS: CDC WONDER (Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research) was queried to identify PMI deaths within the United States between 1999 and 2020, and trends in proportionate mortality of PMI were calculated using the Joinpoint regression analysis. We identified 3 017 826 acute myocardial infarction deaths, with 373 317 PMI deaths corresponding to proportionate mortality of 12.5% (men 12%, women 14%). On trend analysis, proportionate mortality of PMI increased from 10.5% in 1999 to 13.2% in 2020 (average annual percent change of 1.0 [0.8-1.2, P <0.01]) with a significant increase in women from 10% in 1999 to 17% in 2020 (average annual percent change of 2.4 [1.8-3.0, P <0.01]) and no significant change in men, 11% in 1999 to 10% in 2020 (average annual percent change of -0.2 [-0.7 to 0.3, P=0.4]). There was a significant increase in proportionate mortality in both Black and White populations, with no difference among American Indian/Alaska Native, Asian/Pacific Islander, or Hispanic people. American Indian/Alaska Natives had the highest PMI mortality with no significant change over time. CONCLUSIONS: Over the last 2 decades, there has been a significant increase in the proportionate mortality of PMI in women and the Black population, with persistently high PMI in American Indian/Alaska Natives, despite an overall downtrend in acute myocardial infarction-related mortality. Further research to determine the underlying cause of these differences in PMI mortality is required to improve the outcomes after acute myocardial infarction in these populations.

Procedural and cardiovascular outcomes of geriatric vs non-geriatric patients undergoing permanent pacemaker implantation - a nationwide cohort analysis.

BACKGROUND: Permanent pacemaker implantation is increasing exponentially to treat atrio-ventricular block and symptomatic bradyarrhythmia. Despite being a minor surgery, immediate complications such as pocket infection, pocket hematoma, pneumothorax, hemopericardium, and lead displacement do occur. METHODS: The Nationwide Inpatient Sample was queried from 2016 to 2018 to identify patients with pacemakers using ICD-10 procedure code. The Chi-square test was used for statistical analysis. RESULTS: The sample size consisted of 443,460 patients with a pacemaker, 26% were <70 years (male 57%, mean age of (60.6±9.7) yr, Caucasian 70%) and 74% were ≥70 years (male 50%, mean age of (81.4±5.9) yr, Caucasian 79%). Upon comparison of rates in the young vs elderly: mortality (1.6% vs 1.5%; P<0.01), obesity (26% vs 13%; P<0.001), coronary artery disease (40% vs 49%; P<0.001), HTN (74% vs 87%; P<0.01), anemia (4% vs 5%; P<0.01), atrial fibrillation (34% vs 49%; P<0.01), peripheral artery disease (1.7% vs 3%; P<0.01), CHF (31% vs 39%; P<0.001), diabetes (31% vs 27.4%; P<0.01), vascular complications (1.1% vs 1.2%; P<0.01), pocket hematoma (0.5% vs 0.8%; P<0.01), AKI (16% vs 21%; P<0.01), hemopericardium (0.1% vs 0.1%; P = 0.1), hemothorax (0.3% vs 0.2%; P<0.01), cardiac tamponade (0.4% vs 0.5%; P<0.01), pericardiocentesis (0.4% vs 0.4%; P<0.01), cardiogenic shock (4% vs 2.3%; P<0.01), respiratory complications (1.9% vs 0.9%; P<0.01), mechanical ventilation (5.1% vs 2.9%; P<0.01); post-op bleed (0.5% vs 0.3%; P<0.01), need for transfusion (4.8% vs 3.8%; P<0.01), severe sepsis (0.6% vs 0.5%; P<0.01 ), septic shock (2% vs 1%; P<0.01), bacteraemia (0.8% vs 0.4%; P<0.01), lead dislodgement (1.4% vs 1.1%; P<0.01). CONCLUSIONS: Our study revealed that the overall complication rates were lower in the elderly despite higher co-morbidities. This aligns with previous studies which showed lower rates in the elderly. Hence providers should not hesitate to provide guideline driven pacemaker placement in the elderly especially in patients with good life expectancy.

Cardiovascular outcomes of emergent vs elective transcatheter aortic valve replacement in severe aortic stenosis: regression matched meta-analysis.

BACKGROUND: Transcatheter aortic valve replacement (TAVR) has been highly increased as the recommended option for patients with a high surgical risk. This study aims to commit a systematic review and meta-analysis to assess the outcomes in severe aortic stenosis patients following emergency transcatheter aortic valve replacement (emergent TAVR) compared to elective TAVR or eBAV followed by elective TAVR. METHODS: We conducted a systematic literature search of PubMed, Embase, Cochrane CENTRAL, CINAHL, Science Direct, and Google Scholar. We included nine studies in the latest analysis that reported the desired outcomes. Outcomes were classified into primary outcomes: 30-day all-cause mortality and 30-day readmission rate, and secondary outcomes, which were further divided into (a) peri-procedural outcomes, (b) vascular outcomes, and (c) renal outcomes. Statistical analysis was performed using Stata v.17 (College State, TX) software. RESULTS: A total of 44,731 patients with severe aortic stenosis were included (emergent TAVR n = 4502; control n = 40045). 30-day mortality was significantly higher in the emergent TAVR group (OR: 2.62; 95% CI = 1.76-3.92; P < 0.01). Regarding post-procedural outcomes, the length of stay was significantly higher in the emergent TAVR group (Hedges's g: +4.73 days; 95% CI = +3.35 to +6.11; P < 0.01). With respect to vascular outcomes, they were similar in both groups. Regarding renal outcomes, both acute kidney injury (OR: 2.52; 95% CI = 1.59-4.00; P < 0.01) and use of renal replacement therapy (OR: 2.33; 95% CI = 1.87-2.91; P < 0.01) were significantly higher in emergent TAVR group as compared to the control group. CONCLUSION: Our study demonstrated that despite increased 30-day mortality and worse renal outcomes, the post-procedural outcomes were similar in emergent and elective TAVR groups. The increased mortality and worse renal outcomes are likely due to hemodynamic instability in the emergent group. The similarity of post-procedural outcomes is evidence of the safety of TAVR even in emergent settings.

Broadening Perspectives of Artificial Intelligence in Echocardiography.

Echocardiography frequently serves as the first-line treatment of diagnostic imaging for several pathological entities in cardiology. Artificial intelligence (AI) has been growing substantially in information technology and various commercial industries. Machine learning (ML), a branch of AI, has been shown to expand the capabilities and potential of echocardiography. ML algorithms expand the field of echocardiography by automated assessment of the ejection fraction and left ventricular function, integrating novel approaches such as speckle tracking or tissue Doppler echocardiography or vector flow mapping, improved phenotyping, distinguishing between cardiac conditions, and incorporating information from mobile health and genomics. In this review article, we assess the impact of AI and ML in echocardiography.

Echocardiography is the most common test in cardiovascular imaging and helps diagnose multiple different diseases. Machine learning, a branch of artificial intelligence (AI), will reduce the workload for medical professionals and help improve clinical workflows. It can rapidly calculate a lot of important cardiac parameters such as the ejection fraction or important metrics during different phases of the cardiac cycle. Machine learning algorithms can include new technology in echocardiography such as speckle tracking, tissue Doppler echocardiography, vector flow mapping, and other approaches in a user-friendly manner. Furthermore, it can help find new subtypes of existing diseases in cardiology. In this review article, we look at the current role of machine learning and AI in the field of echocardiography.

Impact of Social Vulnerability on Cardiac Arrest Mortality in the United States, 2016 to 2020.

BACKGROUND: Cardiac arrest is 1 of the leading causes of morbidity and mortality, with an estimated 340 000 out-of-hospital and 292 000 in-hospital cardiac arrest events per year in the United States. Survival rates are lower in certain racial and socioeconomic groups. METHODS AND RESULTS: We performed a county-level cross-sectional longitudinal study using the Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research multiple causes of death data set between 2016 and 2020 among individuals of all ages whose death was attributed to cardiac arrest. The Social Vulnerability Index is a composite measure that includes socioeconomic vulnerability, household composition, disability, individuals from racial and ethnic minority groups status and language, and housing and transportation domains. We examined the impact of social determinants on cardiac arrest mortality stratified by age, race, ethnicity, and sex in the United States. All age-adjusted mortality rate (cardiac arrest AAMRs) are reported as per 100 000. Overall cardiac arrest AAMR during the study period was 95.6. The cardiac arrest AAMR was higher for men compared with women (119.6 versus 89.9) and for the Black population compared with the White population (150.4 versus 92.3). The cardiac arrest AAMR increased from 64.8 in counties in quintile 1 of Social Vulnerability Index to 141 in quintile 5, with an average increase of 13% (95% CI, 9.8%-16.9%) in AAMR per quintile increase. CONCLUSIONS: Mortality from cardiac arrest varies widely, with a >2-fold difference between the counties with the highest and lowest social vulnerability, highlighting the differential burden of cardiac arrest deaths throughout the United States based on social determinants of health.

Transcatheter aortic valve implantation with and without mitral stenosis - A National Readmission Database study.

INTRODUCTION: Mitral valve stenosis (MS) can be concomitantly present in patients undergoing Transcatheter Aortic Valve Implantation (TAVI). Some studies have reported up to one-fifth of patients who underwent TAVI also have MS. The relationship between mitral stenosis and TAVI has led to concerns regarding increased adverse cardiac outcomes during and after the procedure. METHODS: The Nationwide Readmission Database (NRD 2016-2019) was utilized to identify TAVI patients with MS with ICD-10-CM codes. The primary outcome was a 30-day readmission rate. Secondary outcomes included predictors of all-cause readmissions, length of stay, and total hospitalization cost. We assessed readmission frequency with a national sample weighed at 30 days following the index TAVI procedure. Unadjusted and adjusted odds ratios were analyzed for in-hospital outcomes using univariate and multivariate logistic regression for study cohorts. RESULTS: A total of 217,147 patients underwent TAVI procedures during the queried time period of the study. Of these patients, 2140 (0.98 %) had MS. The overall 30-day all-cause readmission rate for the study cohort was 12.4 %. TAVI patients with MS had higher rates of 30-day readmissions (15.8 % vs 12.3 %, aOR 1.22, CI: 1.03-1.45, P < 0.01). Additionally, TAVI patients with MS had longer lengths of hospital stay during index admissions (5.7 vs. 4.3 days), along with higher total hospitalization costs ($55,157 vs. $50,239). In contrast, in-hospital mortality during index TAVI admission did not differ significantly between the two groups, although there was a trend toward higher mortality in the MS group (2.1 % vs. 1.5 %). Among the TAVI MS cohort, patients admitted on weekends (aOR: 1.11, 95 % CI: 1.02-1.22, P = 0.01), admitted to non-metropolitan hospitals (aOR: 1.29, 95 % CI: 1.11-1.66, P = 0.04) and presence of co-morbidities such as atrial fibrillation (AF)/flutter (aOR: 1.24, 95 % CI: 1.16-1.32, P < 0.01), chronic obstructive pulmonary disease (COPD) (aOR: 1.16, 95 % CI: 1.11-1.22, P < 0.01), prior stroke (aOR: 1.09, 95 % CI: 1.03-1.14, P < 0.01), chronic kidney disease (CKD) ≥3 (aOR: 1.16, 95 % CI: 1.11-1.22, P < 0.01), end-stage renal disease (ESRD) (aOR: 1.75, 95 % CI: 1.61-1.90, P < 0.01), and anemia (aOR: 1.23, 95 % CI: 1.18-1.28, P < 0.01) were associated with increased odds of readmission. CONCLUSION: Concomitant MS in patients undergoing TAVI is associated with higher readmission rates and total hospital costs. This can contribute significantly to healthcare-related burdens. Further studies are required to evaluate in-hospital outcomes and predictors of readmission in patients undergoing TAVI with the presence of concomitant MS.

Takotsubo cardiomyopathy and psychiatric illness- insight from National Inpatient Sample (NIS) and National Re-admission Database (NRD) 2016 to 2018.

BACKGROUND: Emotional stress is a common precipitating cause of takotsubo cardiomyopathy (TC). Preexisting psychiatric disorder (PD) was linked to worsening outcomes in patients with TC1,2. However, there is limited data in literature to support this. This study aimed to determine the differences in outcomes in TC patients with and without PD. METHODS: We identified all patients with a diagnosis of TC using the National Inpatient Sample (NIS) and the National Readmission Database (NRD) data from 2016 to 2018. The patients were separated into TC with PD group and TC without PD group. Multiple variable logistic regression was then performed. RESULTS: Using NIS 2016-2018, we identified 23,220 patients with TC, and 43.11% had PD. The mean age was 66.73 ± 12.74 years, with 90.42% being female sex. The TC with PD group had a higher 30-readmission rate 1.25 (95% CI:1.06-1.47), Cardiogenic shock [aOR = 7.3 (95%CI 3.97-13.6), Mechanical ventilation [aOR = 4.2 (95%CI 2.4-7.5), Cardiac arrest [aOR = 2.6 (95%CI 1.1-6.3), than TC without PD group. CONCLUSION: Psychiatric disorders were found in up to 43% of patients with TC. The concomitant PD in TC patients was not associated with increased mortality, AKI, but had higher rates of cardiogenic shock, use of mechanical ventilation and cardiac arrest. The TC group with PD was also associated with increased 30-day readmission, LOS and total charges compared to TC patients without PD.

Trends and Outcomes of Type 2 Myocardial Infarction During the COVID-19 Pandemic in the United States.

BACKGROUND AND OBJECTIVES: There is limited data on the impact of type 2 myocardial infarction (T2MI) during the coronavirus disease 2019 (COVID-19) pandemic. METHODS: The National Inpatient Sample (NIS) database from January 2019 to December 2020 was queried to identify T2MI hospitalizations based on the appropriate International Classification of Disease, Tenth Revision-Clinical Modification codes. Monthly trends of COVID-19 and T2MI hospitalizations were evaluated using Joinpoint regression analysis. In addition, the multivariate logistic and linear regression analysis was used to compare in-hospital mortality, coronary angiography use, and resource utilization between 2019 and 2020. RESULTS: A total of 743,535 patients hospitalized with a diagnosis of T2MI were identified in the years 2019 (n=331,180) and 2020 (n=412,355). There was an increasing trend in T2MI hospitalizations throughout the study period corresponding to the increase in COVID-19 hospitalizations in 2020. The adjusted odds of in-hospital mortality associated with T2MI hospitalizations were significantly higher in 2020 compared with 2019 (11.1% vs. 8.1%: adjusted odds ratio, 1.19 [1.13-1.26]; p<0.01). In addition, T2MI hospitalizations were associated with lower odds of coronary angiography and higher total hospitalization charges, with no difference in the length of stay in 2020 compared with 2019. CONCLUSIONS: We found a significant increase in T2MI hospitalizations with higher in-hospital mortality, total hospitalization costs, and lower coronary angiography use during the early COVID-19 pandemic corresponding to the trends in the rise of COVID-19 hospitalizations. Further research into the factors associated with increased mortality can increase our preparedness for future pandemics.

Predictors of non-calcified plaque presence and future adverse cardiovascular events in symptomatic rural Appalachian patients with a zero coronary artery calcium score.

BACKGROUND: Coronary artery calcium (CAC) scoring is a proven predictor for future adverse cardiovascular events (CVE) in asymptomatic individuals. Data is emerging regarding the usefulness of non-calcified plaque (NCP) assessment on cardiac computed tomography (CCT) angiography in symptomatic patients with a zero CAC score for further risk assessment. METHODS: A retrospective review from January 2019 to January 2022 of 696 symptomatic patients with no known CAD and a zero CAC score identified 181 patients with NCP and 515 patients without NCP by a visual assessment on CCT angiography. The primary endpoint was to identify predictors for NCP presence and adverse CVEs (death, myocardial infarction, or cerebrovascular accident) within two years. RESULTS: Based on logistic regression, age (OR 1.039, 95% CI [1.020-1.058], p â€‹< â€‹0.001), diabetes mellitus (OR 2.192, 95% CI [1.307-3.676], p â€‹< â€‹0.003), tobacco use (OR 1.748, 95% CI [1.157-2.643], p â€‹< â€‹0.008), low-density lipoprotein cholesterol level (OR 1.009, 95% CI [1.003-1.015], p â€‹< â€‹0.002), and hypertension (OR 1.613, 95% CI [1.024-2.540], p â€‹< â€‹0.039) were found to be predictors of NCP presence. NCP patients had a higher pretest probability for CAD using the Morise risk score (p â€‹< â€‹0.001∗), with NCP detection increasing as pretest probability increased from low to high (OR 55.79, 95% CI [24.26-128.26], p â€‹< â€‹0.001∗). 457 patients (66%) reached a full two-year period after CCT angiography completion, with NCP patients noted to have shorter follow-up times and higher rates of elective coronary angiography, intervention, and CVEs. The presence of NCP (aOR 2.178, 95% CI [1.025-4.627], p â€‹< â€‹0.043) was identified as an independent predictor for future adverse CVEs when adjusted for diabetes mellitus, age, and hypertension. CONCLUSION: NCP was identified at high rates (26%) in our symptomatic Appalachian population with no known CAD and a zero CAC score. NCP was identified as an independent predictor of future adverse CVEs within two years.

The Heart Remembers: A Case of Cardiac Memory.

An 80-year-old male with a history of atrial fibrillation and a single-chamber ventricular pacemaker presented to the hospital for an elective colonoscopy. He experienced a transient episode of unresponsiveness with seizure-like activity before the procedure. This prompted him to get an EKG showing deep T-wave inversions (TWIs) in the precordial leads on a background of paced beats. Such findings were concerning for an acute and potentially life-threatening process such as myocardial infarction (MI) or intracranial insult. After ruling out any severe conditions, the EKG findings were attributed to cardiac memory, an underdiagnosed cause of deep TWIs in patients with a pacemaker.

Impact of social vulnerability on cardiac arrest mortality in the United States, 2016-2020.

Importance: Cardiac arrest is one of the leading causes of morbidity and mortality, with an estimated 340,000 out-of-hospital and 292,000 in-hospital cardiac arrest events per year in the U.S. Survival rates are lower in certain racial and socioeconomic groups. Objective: To examine the impact of social determinants on cardiac arrest mortality among adults stratified by age, race, and sex in the U.S. Design: A county-level cross-sectional longitudinal study using death data between 2016 and 2020 from the Centers for Disease Control and Prevention's (CDC) Wide-Ranging Online Data for Epidemiologic Research (WONDER) database. Setting: Using the multiple causes of death dataset from the CDC's WONDER database, cardiac arrests were identified using the International Classification of Diseases (ICD), tenth revision, clinical modification codes. Participants: Individuals aged 15 years or more whose death was attributed to cardiac arrest. Exposures: Social vulnerability index (SVI), reported by the CDC, is a composite measure that includes socioeconomic vulnerability, household composition, disability, minority status and language, and housing and transportation domains. Main outcomes and measures: Cardiac arrest mortality per 100,000 adults. Results: Overall age-adjusted cardiac arrest mortality (AAMR) during the study period was 95.6 per 100,000 persons. The AAMR was higher for men as compared with women (119.6 vs. 89.9 per 100,000) and for Black, as compared with White, adults (150.4 vs. 92.3 per 100,000). The AAMR increased from 64.8 per 100,000 persons in counties in Quintile 1 (Q1) of SVI to 141 per 100,000 persons in Quintile 5, with an average increase of 13% (95% CI: 9.8-16.9) in AAMR per quintile increase. Conclusion and relevance: Mortality from cardiac arrest varies widely, with a more than 2-fold difference between the counties with the highest and lowest social vulnerability, highlighting the differential burden of cardiac arrest deaths throughout the U.S. based on social determinants of health.

Trends of antihypertensive use among patients with cancer and hypertension in the United States 2002-2019.

Background: Hypertension (HTN) is the most frequently reported comorbidity in patients with malignancy. This study was conducted to assess the trend of different antihypertensive (AHT) medications used in cancer patients. Methods: We used the Medical Expenditure Panel Survey (MEPS) database from 2002 to 2019 to identify adult (age >18 years) cancer patients with HTN using appropriate International Classification of Disease (ICD)-9 and ICD-10 codes. Benign and uncertain neoplasms were excluded. P-trend values were calculated using weighted logistic regression with "year" as the predictor variable. Results: We identified ∼46 million adult hypertensive cancer patients with an increasing trend from 2002 to 2019 (3.3 m-6.7 m). Angiotensin-converting enzyme inhibitors/angiotensin receptor blockers (ACEI/ARB) use in hypertensive cancer patients increased steadily, while diuretics and combined drugs decreased. Calcium channel blocker (CCB) use increased since 2014-15. In cancer patients with heart failure (HF), beta-blocker (BB) use increased; however, diuretic use peaked in 2014-15 and declined. The use of ACEi/ARB in cancer patients with Diabetes (DM) has increased, whereas BB, CCB, and diuretic use remained stable. Hypertensive cancer patients with Atherosclerotic Cardiovascular Disease (ASCVD) had increased ACEI/ARB use. Combination AHT use has decreased broadly. Conclusion: The ACEI/ARB and CCB use trends increased over the past two decades, whereas diuretics have declined. In cancer patients with DM or ASCVD, the use of ACEI/ARB is trending up. BB use showed an increasing trend in patients with HF. Combined AHT and diuretics use decreased. Total expenditure and out-of-pocket expenditure have a decreasing trend for all AHT medications.

Contemporary outcomes of long-term anticoagulation in COVID-19 patients: a regression matched sensitivity analysis of the national inpatient sample.

BACKGROUND: The role of oral anticoagulation during the COVID-19 pandemic has been debated widely. We studied the clinical outcomes of COVID-19 hospitalizations in patients who were on long-term anticoagulation. RESEARCH DESIGN AND METHODS: The Nationwide Inpatient Sample (NIS) database from 2020 was queried to identify COVID-19 patients with and without long-term anticoagulation. Multivariate regression analysis was used to calculate the adjusted odds ratio (aOR) of in-hospital outcomes. RESULTS: Of 1,060,925 primary COVID-19 hospitalizations, 102,560 (9.6%) were on long-term anticoagulation. On adjusted analysis, COVID-19 patients on anticoagulation had significantly lower odds of in-hospital mortality (aOR 0.61, 95% CI 0.58-0.64, P < 0.001), acute myocardial infarction (aOR 0.72, 95% CI 0.63-0.83, P < 0.001), stroke (aOR 0.79, 95% CI 0.66-0.95, P < 0.013), ICU admissions, (aOR 0.53, 95% CI 0.49-0.57, P < 0.001) and higher odds of acute pulmonary embolism (aOR 1.47, 95% CI 1.34-1.61, P < 0.001), acute deep vein thrombosis (aOR 1.17, 95% CI 1.05-1.31, P = 0.005) compared to COVID-19 patients who were not on anticoagulation. CONCLUSIONS: Compared to COVID-19 patients not on long-term anticoagulation, we observed lower in-hospital mortality, stroke and acute myocardial infarction in COVID-19 patients on long-term anticoagulation. Prospective studies are needed for optimal anticoagulation strategies in hospitalized patients.

Association Between Social Vulnerability Index and Mortality Following Acute Myocardial Infarction in the US Counties.

Social determinants of health (SDOH) play a major role in cardiovascular outcomes. The social vulnerability index (SVI) is a tool designed by the Center for Disease Control (CDC) to measure a community's vulnerability to respond and recover from disasters. The parameters of SVI can be used to gauge social disparities amongst different US counties and its association with acute myocardial infarction (AMI) related to age- adjusted mortality rate (AAMR) by using the multiple causes of death database from CDC, Prevention's Wide-Ranging Online Data for Epidemiological Research (WONDER 2016-2020) and Agency for Toxic Substances and Disease Registry (ATSDR). We used segmented regression models to evaluate the association between quintiles of SVI scores and AAMR using STATA. A total of 2908 of 3289 US counties were used in the analysis. The mean AAMR was 89.3 per 100,000 (95% CI: 87.1-91.5) from 2016 to 2020. US counties with higher SVI were associated with higher AMI-related age-adjusted mortality when compared to counties with lower SVI. Counties with the highest SVI and AAMR were in the mid-western and southern states The findings of our study can guide focused care for a uniform upliftment of CV health across the nation by identifying the distribution of socio-economically disadvantaged counties.

Cardiovascular outcomes of type 2 myocardial infarction among COVID-19 patients: a propensity matched national study.

BACKGROUND: Myocardial infarction Type II (T2MI) is a prevalent cause of troponin elevation secondary to a variety of conditions causing stress/demand mismatch. The impact of T2MI on outcomes in patients hospitalized with COVID-19 is not well studied. METHODS: The Nationwide Inpatient Sample database from the year 2020 was queried to identify COVID-19 patients with T2MI during the index hospitalization. Clinical Modification (ICD-10-CM) codes 'U07.1' and 'I21.A1' were used as disease identifiers for COVID-19 and T2MI respectively. Multivariate adjusted Odds ratio (aOR) and propensity score matching (PSM) was done to compare outcomes among COVID patients with and without T2MI. The primary outcome was in-hospital mortality. RESULTS: A total of 1,678,995 COVID-19-weighted hospitalizations were identified in the year 2020, of which 41,755 (2.48%) patients had T2MI compared to 1,637,165 (97.5%) without T2MI. Patients with T2MI had higher adjusted odds of in-hospital mortality (aOR 1.44, PSM 32.27%, 95% CI 1.34-1.54) sudden cardiac arrest (aOR 1.29, PSM 6.6%, 95% CI 1.17-1.43) and CS (aOR 2.16, PSM 2.73%, 95% CI 1.85-2.53) compared to patients without T2MI. The rate of coronary angiography (CA) in T2MI with COVID was 1.19%, with significant use of CA among patients with T2MI complicated by CS compared to those without CS (4% vs 1.1%, p < 0.001). Additionally, COVID-19 patients with T2MI had an increased prevalence of sepsis compared to COVID-19 without T2MI (48% vs 24.1%, p < 0.001). CONCLUSION: COVID-19 patients with T2MI had worse cardiovascular outcomes with significantly higher in-hospital mortality, SCA, and CS compared to those without T2MI. Long-term mortality and morbidity among COVID-19 patients who had T2MI will need to be clarified in future studies. [Figure: see text].

Electrical Cardioversion-Associated Takotsubo Cardiomyopathy: A National Readmission Database 2018 Analysis and Systematic Review.

The incidence of cardioversion-associated takotsubo cardiomyopathy in patients with atrial fibrillation undergoing electrical cardioversion is unknown. We aimed to determine the incidence of cardioversion-associated takotsubo cardiomyopathy using a National Readmission Database 2018 and a systematic review. We identified all patients with the index diagnosis of atrial fibrillation who underwent electrical cardioversion and were readmitted within 30 days with a primary diagnosis of takotsubo cardiomyopathy by International Classification of Diseases, Tenth Revision, Clinical Modification codes to find the incidence and risk factors of the disease. A systematic review was performed by searching PubMed and Embase for patients with atrial fibrillation who underwent electrical cardioversion and developed takotsubo cardiomyopathy from inception to February 2022. Baseline characteristics and clinical presentation were displayed. Among 154 919 patients admitted with atrial fibrillation who underwent electrical cardioversion in National Readmission Database 2018, 0.027% were readmitted with takotsubo cardiomyopathy (mean age of 71.0 ± 3.5 years and 96.7% were female). Female sex is an independent predictor of electrical cardioversion-associated takotsubo cardiomyopathy [adjusted odds ratio = 49.77 (95% CI: 5.90-419.87)], while diabetes mellitus is associated with less risk of electrical cardioversion-associated takotsubo cardiomyopathy [adjusted odds ratio = 0.31 (95% CI: 0.10-0.99)]. The systematic review included 13 patients (mean age of 74.8 ± 9.6 years and 77% were female). Acute heart failure due to apical type takotsubo cardiomyopathy is the most common presentation within 48 hours. The recovery time is less than 1 week in milder cases but can take up to 2 weeks in severe cases. Cardioversion-associated takotsubo cardiomyopathy is a rare complication in patients with atrial fibrillation who underwent electrical cardioversion. Female patients have a 50-fold increased risk, but DM is associated with a 3-fold risk reduction. The majority of patients recover within 2 weeks with supportive care.

In-Hospital Outcomes of COVID-19 Associated Myocarditis (from a Nationwide Inpatient Sample Database Study).

The prevalence of COVID-19 infection-related myocarditis, its in-hospital cardiovascular outcomes, and its impact on hospital cost and stay at national level are not well studied in the literature. The Nationwide Inpatient Sample Database from 2020 was queried to identify patients with COVID-19 and myocarditis versus those without myocarditis. Cardiovascular outcomes and resource utilization were studied among cohorts with COVID-19, with and without myocarditis, using descriptive statistics, multivariate regression matching, and propensity score matching using STATA version 17. Of 1,678,995 patients, 3,565 (0.21%) had COVID-19 with myocarditis, and 1,675,355 (99.78%) had COVID-19 without myocarditis. On multivariate regression analysis, we found higher odds of in-hospital mortality (adjusted odds ratio [aOR] 1.59, 95% confidence interval [CI] 1.27 to 1.9) in patients with myocarditis than in those without myocarditis, in addition to higher odds of major adverse cardiovascular and cerebrovascular events (aOR 3.54, 95% CI 2.8 to 4.4), acute kidney injury (aOR 1.29, 95% CI 1.27 to 1.9), heart failure (aOR 2.77, 95% CI 2.3 to 3.4), cardiogenic shock (aOR 10.2, 95% CI 7.9 to 13), myocardial infarction (aOR 5.74, 95% CI 4.5 to 7.3), and use of mechanical circulatory support (aOR 2.81, 95% CI 1.6 to 4.9). The propensity-matched cohort also favored similar outcomes. In conclusion, patients with COVID-19 and myocarditis had worse clinical outcomes, having a higher rate of in-hospital mortality, major adverse cardiovascular and cerebrovascular events with longer length of hospital stay, and higher hospitalization costs. Large prospective trials are necessary to validate these findings with diagnostic measures, including biopsy and cardiac magnetic resonance imaging for the extent of myocardial involvement.

In-Hospital Outcomes of Takotsubo Cardiomyopathy During the COVID-19 Pandemic: Propensity Matched National Cohort.

Takotsubo Cardiomyopathy (TTS) is an acute reversible left ventricular dysfunction with regional ballooning secondary to various physical or psychological triggers, including COVID-19. The impact of TTS on outcomes in COVID-19 patients is not well studied. The Nationwide in-patient sample database from 2019 to 2020 was utilized to identify TTS patients with and without COVID-19. Clinical Modification (ICD-10-CM) codes U07.1 and I51.81 were used as disease identifiers for COVID-19 and TTS, respectively. Multivariate logistic regression was performed to report adjusted odds ratios (aOR) and propensity score match (PSM) was done to compare outcomes among TTS patients with and without COVID. The primary outcome was in-hospital mortality. A total of 83,215 TTS patients for the period 2019-2020 were included in our study, of which 1665 (2%) had COVID-19. COVID-19 with TTS group had higher adjusted odds of in-hospital mortality (aOR 7.23, PSM 32.7% vs 10.16%, p = <0.001), cardiogenic shock; (aOR 2.32, PSM 16.7% vs 9.5%, P < 0.001) and acute kidney injury; (aOR 2.30, PSM 47.5% vs 33.1%, P< 0.001) compared to TTS without COVID-19. TTS hospitalizations with COVID-19 were associated with longer lengths of stay (12 ± 12 vs 7 ± 9 days) and higher total cost ($47,702 ± $67,940 vs $26,957 ± $44,286) compared to TTS without COVID. TTS with COVID-19 group had a higher proportion of males compared to TTS without COVID-19 group (37.8% vs 18.5%). TTS with COVID-19 group had a greater proportion of non-white race. The proportion of Blacks, Hispanics, and Asian/Pacific Islander was higher in the COVID-19 TTS group compared to TTS without COVID-19 group (12.9% vs 8.4%, 20.4% vs 6.5%, 5 vs 2.2%, respectively). TTS in the setting of COVID-19 illness has worse outcomes in terms of in-hospital mortality, cardiogenic shock, and acute kidney injury. Male sex and non-white race were more likely to be affected by TTS in the setting of COVID-19. The out-of-hospital morbidity and mortality in patients who suffered TTS during COVID-19 illness need further study. Studies are needed to provide mechanistic insights into the interaction between COVID-19 and TTS.