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Background: Valvular heart disease (VHD) represents a spectrum of cardiac conditions, including valvular stenosis, valvular regurgitation, or mixed lesions affecting single or multiple valves. The severity of VHD has emerged as a major cause of cardiovascular (CV) morbidity and mortality among the older population in the United States (U.S). Objective: To evaluate temporal trends in mortality associated with VHD in the elderly U.S population between 1999 and 2019. Methods: We utilized the CDC WONDER database for VHD mortality in adults ≥75 from 1999 to 2019, using ICD-10 codes. Age-adjusted mortality rates (AAMR) per 100,000 people with associated annual percentage change (APC) were calculated. Joinpoint regression was used to assess the overall trends and trends for demographic, geographic, and type of valvular disease subgroups. Results: A total of 666,765 VHD deaths in older adults from 1999 to 2019 was identified, with an initial decline in AAMR until 2007 with an APC: 0.62, 95 % CI (-1.66-0.33), stability until 2014, and a significant decrease until 2019 (APC: 1.47, 95 % CI [-2.24-1.04], P < 0.0001). Men consistently had higher AAMRs compared to women (overall AAMR men: 173.6; women: 138.2). The AAMRs were found to be highest in the White (166.5), followed by American Indian or Alaska Native population at (93.8) Hispanic or Latino at (80.7), Black or African American populations at (74.1) and lastly Asian or Pacific Islander (73.4). Non-metropolitan areas manifested higher AAMRs for deaths related to VHD than metropolitan areas (overall AAMRs 160.5 vs 149.5) respectively. State-wide AAMRs varied, with the highest in Vermont at 324.2 (95 % CI [313.0-335.4], P < 0.0001) and the lowest in Mississippi at 88.0 (95 % CI [85.0-91.0], P < 0.0001). Non-rheumatic and aortic valve disorders in adults ≥75 years had higher mortality rates compared to rheumatic or mitral valve conditions in those <75 years. Conclusion: Our study showed a decline in U.S. VHD mortality from 1999 to 2019 but found persistent disparities by gender, race, age, region, and VHD type. Targeted policies for prevention and early diagnosis are needed to address these inequalities.
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BACKGROUND: Infant mortality continues to be a significant problem for patients with congenital heart disease (CHD). Limited data exist on the recent trends of mortality in infants with CHD. METHODS: The CDC WONDER (Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research) was queried to identify deaths occurring within the United States with CHD listed as one of the causes of death between 1999 and 2020. Subsequently, trends were calculated using the Joinpoint regression program (version 4.9.1.0; National Cancer Institute). RESULTS: A total of 47,015 deaths occurred in infants due to CHD at the national level from the year 1999 to 2020. The overall proportional infant mortality (compared to all deaths) declined (47.3% to 37.1%, average annual percent change [AAPC]: -1.1 [95% CI -1.6 to -0.6, p < 0.001]). There was a significant decline in proportional mortality in both Black (45.3% to 34.3%, AAPC: -0.5 [-0.8 to -0.2, p = 0.002]) and White patients (55.6% to 48.6%, AAPC: -1.2 [-1.7 to -0.7, p = 0.001]), with a steeper decline among White than Black patients. A statistically significant decline in the proportional infant mortality in both non-Hispanic (43.3% to 33.0%, AAPC: -1.3% [95% CI -1.9 to -0.7, p < 0.001]) and Hispanic (67.6% to 57.7%, AAPC: -0.7 [95% CI -0.9 to -0.4, p < 0.001]) patients was observed, with a steeper decline among non-Hispanic infant population. The proportional infant mortality decreased in males (47.5% to 53.1%, AAPC: -1.4% [-1.9 to -0.9, p < 0.001]) and females (47.1% to 39.6%, AAPC: -0.9 [-1.9 to 0.0, p = 0.05]). A steady decline in for both females and males was noted. CONCLUSION: Our study showed a significant decrease in CHD-related mortality rate in infants and age-adjusted mortality rate (AAMR) between 1999 and 2020. However, sex-based, racial/ethnic disparities were noted, with female, Black, and Hispanic patients showing a lesser decline than male, White, and non-Hispanic patients.
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Centers for Disease Control and Prevention, U.S. , Cardiopatías Congénitas , Mortalidad Infantil , Humanos , Cardiopatías Congénitas/mortalidad , Estados Unidos/epidemiología , Masculino , Femenino , Lactante , Mortalidad Infantil/tendencias , Recién Nacido , Estudios de Cohortes , Hispánicos o Latinos/estadística & datos numéricos , Causas de Muerte/tendencias , Población BlancaRESUMEN
BACKGROUND: Cardiac arrest (CA) affects over 600,000 patients in the USA annually. Despite large-scale public health and educational initiatives, survival rates are lower in certain racial and socioeconomic groups. METHODS: A county-level cross-sectional longitudinal study using death data of patients aged 15â¯years or more from the US Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research (WONDER) database from 1999 to 2020. CAs were identified using the International Classification of Diseases, tenth revision, clinical modification codes. RESULTS: The CA-related deaths between 1999 and 2020 were 7,710,211 in the entire USA. The annual CA related age-adjusted mortality rates (CA-MR) declined through 2019 (132.9 to 89.7 per 100,000 residents), followed by an increase in 2020 (104.5 per 100,000). White patients constituted 82â¯% of all deaths and 51â¯% were female. The overall CA-MR during the study period was 104.48 per 100,000 persons. The CA-MR was higher for men as compared with women (123.5 vs. 89.7 per 100,000) and higher for Black as compared with White adults (154.4 vs. 99.1 per 100,000). CONCLUSIONS: CA-MR in the overall population has declined, followed by an increase in 2020, which is likely the impact of the COVID-19 pandemic. There were also significant racial and sex differences in mortality rates.
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Background: Patients with acute heart failure (AHF) exacerbation are susceptible to complications in the setting of COVID-19 infection. Data regarding the racial/ethnic and sex disparities in patients with AHF and COVID-19 remains limited. Objective: We aim to evaluate the impact of race, ethnicity, and sex on the in-hospital outcomes of AHF with COVID-19 infection using the data from the National Inpatient Sample (NIS). Methods: We extracted data from the NIS (2020) by using ICD-10-CM to identify all hospitalizations with a diagnosis of AHF and COVID-19 in the year 2020. The associations between sex, race/ethnicity, and outcomes were examined using a multivariable logistic regression model. Results: We identified a total of 158,530 weighted AHF hospitalizations with COVID-19 infection in 2020. The majority were White (63.9 %), 23.3 % were Black race, and 12.8 % were of Hispanic ethnicity, mostly males (n = 84,870 [53.5 %]). After adjustment, the odds of in-hospital mortality were lowest in White females (aOR 0.83, [0.78-0.98]) and highest in Hispanic males (aOR 1.27 [1.13-1.42]) compared with White males. Overall, the odds of cardiac arrest (aOR 1.54 [1.27-1.85]) and AKI (aOR 1.36 [1.26-1.47] were higher, while odds for procedural interventions such as PCI (aOR 0.23 [0.10-0.55]), and placement on a ventilator (aOR 0.85 [0.75-0.97]) were lower among Black males in comparison to White males. Conclusion: Male sex was associated with a higher risk of in-hospital mortality in white and black racial groups, while no such association was noted in the Hispanic group. Hispanic males had the highest odds of death compared with White males.
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BACKGROUND AND OBJECTIVES: There are limited national data on the trends and outcomes of patients hospitalized with acute myocardial infarction (AMI) during the coronavirus disease 2019 (COVID-19) pandemic. We aimed to evaluate the impact of early COVID-19 pandemic on the trends and outcomes of AMI using the National Inpatient Sample (NIS) database. METHODS: The NIS database was queried from January 2019 to December 2020 to identify adult (age ≥18 years) AMI hospitalizations and were categorized into ST-elevation myocardial infarction (STEMI) and non-ST-elevation myocardial infarction (NSTEMI) based on International Classification of Diseases, Tenth Revision, Clinical Modification codes. In addition, the in-hospital mortality, revascularization, and resource utilization of AMI hospitalizations early in the COVID-19 pandemic (2020) were compared to those in the pre-pandemic period (2019) using multivariate logistic and linear regression analysis. RESULTS: Amongst 1,709,480 AMI hospitalizations, 209,450 STEMI and 677,355 NSTEMI occurred in 2019 while 196,230 STEMI and 626,445 NSTEMI hospitalizations occurred in 2020. Compared with those in 2019, the AMI hospitalizations in 2020 had higher odds of in-hospital mortality (adjusted odds ratio [aOR], 1.27; 95% confidence interval [CI], [1.23-1.32]; p<0.01) and lower odds of percutaneous coronary intervention (aOR, 0.95 [0.92-0.99]; p=0.02), and coronary artery bypass graft (aOR, 0.90 [0.85-0.97]; p<0.01). CONCLUSIONS: We found a significant decline in AMI hospitalizations and use of revascularization, with higher in-hospital mortality, during the early COVID-19 pandemic period (2020) compared with the pre-pandemic period (2019). Further research into the factors associated with increased mortality could help with preparedness in future pandemics.
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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.
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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.
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Disparidades en el Estado de Salud , Infarto del Miocardio , Adulto , Femenino , Humanos , Masculino , Persona de Mediana Edad , Negro o Afroamericano/estadística & datos numéricos , Hispánicos o Latinos/estadística & datos numéricos , Incidencia , Mortalidad Prematura/tendencias , Mortalidad Prematura/etnología , Infarto del Miocardio/mortalidad , Infarto del Miocardio/etnología , Factores de Riesgo , Distribución por Sexo , Factores Sexuales , Factores de Tiempo , Estados Unidos/epidemiología , Blanco/estadística & datos numéricos , Asiático Americano Nativo Hawáiano y de las Islas del Pacífico/estadística & datos numéricos , Indio Americano o Nativo de Alaska/estadística & datos numéricosRESUMEN
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.
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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.
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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.
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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.
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Paro Cardíaco , Vulnerabilidad Social , Humanos , Estados Unidos/epidemiología , Masculino , Femenino , Persona de Mediana Edad , Paro Cardíaco/mortalidad , Paro Cardíaco/etnología , Anciano , Estudios Transversales , Adulto , Adulto Joven , Adolescente , Determinantes Sociales de la Salud , Factores de Riesgo , Estudios Longitudinales , Anciano de 80 o más Años , Preescolar , Niño , Lactante , Disparidades en el Estado de Salud , Recién NacidoRESUMEN
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.
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Estenosis de la Válvula Aórtica , Bases de Datos Factuales , Costos de Hospital , Tiempo de Internación , Estenosis de la Válvula Mitral , Readmisión del Paciente , Reemplazo de la Válvula Aórtica Transcatéter , Humanos , Reemplazo de la Válvula Aórtica Transcatéter/efectos adversos , Reemplazo de la Válvula Aórtica Transcatéter/economía , Reemplazo de la Válvula Aórtica Transcatéter/mortalidad , Masculino , Femenino , Readmisión del Paciente/economía , Estados Unidos , Estenosis de la Válvula Aórtica/cirugía , Estenosis de la Válvula Aórtica/mortalidad , Estenosis de la Válvula Aórtica/economía , Estenosis de la Válvula Aórtica/diagnóstico por imagen , Anciano , Factores de Riesgo , Anciano de 80 o más Años , Resultado del Tratamiento , Factores de Tiempo , Medición de Riesgo , Estenosis de la Válvula Mitral/diagnóstico por imagen , Estenosis de la Válvula Mitral/economía , Estenosis de la Válvula Mitral/cirugía , Estenosis de la Válvula Mitral/mortalidad , Estenosis de la Válvula Mitral/terapia , Estenosis de la Válvula Mitral/fisiopatología , Estudios Retrospectivos , Válvula Aórtica/cirugía , Válvula Aórtica/diagnóstico por imagen , Válvula Aórtica/fisiopatologíaRESUMEN
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.
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Paro Cardíaco , Trastornos Mentales , Cardiomiopatía de Takotsubo , Humanos , Femenino , Persona de Mediana Edad , Anciano , Masculino , Pacientes Internos , Choque Cardiogénico , Cardiomiopatía de Takotsubo/diagnóstico , Cardiomiopatía de Takotsubo/epidemiología , Cardiomiopatía de Takotsubo/terapia , Trastornos Mentales/epidemiologíaRESUMEN
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.
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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.
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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< â0.001), diabetes mellitus (OR 2.192, 95% CI [1.307-3.676], p â< â0.003), tobacco use (OR 1.748, 95% CI [1.157-2.643], p â< â0.008), low-density lipoprotein cholesterol level (OR 1.009, 95% CI [1.003-1.015], p â< â0.002), and hypertension (OR 1.613, 95% CI [1.024-2.540], p â< â0.039) were found to be predictors of NCP presence. NCP patients had a higher pretest probability for CAD using the Morise risk score (p â< â0.001∗), with NCP detection increasing as pretest probability increased from low to high (OR 55.79, 95% CI [24.26-128.26], p â< â0.001∗). 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< â0.043) 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.
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Enfermedad de la Arteria Coronaria , Diabetes Mellitus , Hipertensión , Placa Aterosclerótica , Humanos , Enfermedad de la Arteria Coronaria/diagnóstico por imagen , Enfermedad de la Arteria Coronaria/epidemiología , Calcio , Valor Predictivo de las Pruebas , Angiografía Coronaria/métodos , Factores de Riesgo , Diabetes Mellitus/diagnóstico , Diabetes Mellitus/epidemiologíaRESUMEN
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.
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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 â¼46 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.
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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.
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COVID-19 , Infarto del Miocardio , Accidente Cerebrovascular , Humanos , Anticoagulantes/uso terapéutico , Pacientes Internos , Pandemias , Infarto del Miocardio/epidemiologíaRESUMEN
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.