Systemic sclerosis is associated with increased in-patient mortality in patients hospitalized for heart failure.

AIMS: We aimed to analyse the characteristics and in-hospital outcomes of patients hospitalized for heart failure (HF) with co-morbid systemic sclerosis (SSc) and compare them to those without SSc, using data from the National Inpatient Sample from years 2016 to 2019. METHODS AND RESULTS: International Classification of Diseases, Tenth Revision diagnosis codes were used to identify hospitalized patients with a primary diagnosis of HF and secondary diagnoses of SSc from the National Inpatient Sample database from 2016 to 2019. Patients were divided into two groups: those with and without a secondary diagnosis of SSc. Baseline characteristics including demographics and co-morbidities, outcomes of mortality, length of stay (LOS), and costs were compared between the two groups. Multivariable logistic regression analysis was performed to adjust for confounders and assess the impact of SSc on in-hospital mortality, cost, and LOS. A total of 4 709 724 hospitalizations for HF were identified, with 8150 (0.17%) having a secondary diagnosis of SSc. These patients were predominantly female (82.3% vs. 47.8%; P = 0.01), younger (mean age of 67.4 vs. 71.4; P < 0.01), and had significantly lower rates of traditional cardiovascular risk factors such as coronary artery disease (35.8% vs. 50.6%; P < 0.01), hyperlipidaemia (39.1% vs. 52.9%; P < 0.01), diabetes (22.5% vs. 49.1%; P < 0.01), obesity (13.2% vs. 25.0%; P < 0.01), and hypertension (20.2% vs. 23.8%; P < 0.01). Higher rates of co-morbid pulmonary disease in the form of interstitial lung disease (23.1% vs. 2.0%; P < 0.01) and pulmonary hypertension (36.6% vs. 12.7%; P < 0.01) were noted in the SSc cohort. Unadjusted in-hospital mortality was significantly higher in the HF with SSc group [5.1% vs. 2.6%; odds ratio: 1.99; 95% confidence interval (CI): 1.60-2.48; P < 0.001]. Unadjusted mortality was also higher among female (86.7% vs. 47.0%; P < 0.01), Black (15.7% vs. 13.0%; P < 0.01), and Hispanic (13.3% vs. 6.9%; P < 0.01) patients in the SSc cohort. After adjusting for potential confounders, SSc remained independently associated with higher in-hospital mortality (adjusted odds ratio: 1.81; 95% CI: 1.44-2.28; P < 0.001). Patients with HF and SSc also had longer LOS (6.4 vs. 5.4; adjusted mean difference [AMD]: 0.37, 95% CI: 0.05-0.68; P = 0.02) and higher hospitalization costs ($67 363 vs. $57 128; AMD: 198.9; 95% CI: -4780 to 5178; P = 0.93). CONCLUSIONS: In patients hospitalized for HF, those with SSc were noted to have higher odds of in-hospital mortality than those without SSc. Patients with HF and SSc were more likely to be younger, female, and have higher rates of co-morbid interstitial lung disease and pulmonary hypertension at baseline with fewer traditional cardiovascular risk factors.

Re-evaluating the Incidence and Prevalence of Clinical Hypertrophic Cardiomyopathy: An Epidemiological Study of Olmsted County, Minnesota.

OBJECTIVE: To contemporaneously reappraise the incidence-rate, prevalence, and natural history of hypertrophic cardiomyopathy (HCM) in Olmsted County, Minnesota, from 1984 to 2015. PATIENTS AND METHODS: A validated medical-record linkage system collecting information for residents of Olmsted County was used to identify all cases of HCM between January 1, 1984, and December 31, 2015. After adjudication of records from Mayo Clinic and Olmsted Medical Center, data relating to diagnoses and outcomes were abstracted. The calculated incidence rate and prevalence were standardized to the US 1980 White population (age- and sex-adjusted) and compared with a prior study examining the years 1975-1984. RESULTS: Two hundred seventy subjects with HCM were identified. The age- and sex-adjusted incidence rate was 6.6 per 100,000 person-years, and the point prevalence of HCM on January 1, 2016, was 89 per 100,000 population. The incidence rate and point prevalence of HCM on January 1, 2016, standardized to the US 1980 White population (age- and sex-adjusted), were 6.7 (95% CI, 7.1 to 8.8) per 100,000 person-years and 81.5 per 100,000 population, respectively. The incidence rate of HCM increased each decade since the index study. Individuals with HCM had a higher overall standardized mortality rate than the general population with an observed to expected HR of 1.44 (95% CI, 1.21 to 1.71; P<.001) which improved by each decade. CONCLUSION: The incidence and prevalence of HCM are higher than rates reported from a prior study in the same community examining the years 1975-1984, but lower than other study cohorts. The risk of mortality in HCM remains higher than expected, albeit with improvement in rates of mortality observed each decade during the study period.

Dilated Cardiomyopathy: Beware of Diet Drugs Slimming the Heart.

There have been rare reports of dilated cardiomyopathy from chronic use of phentermine/topiramate, although very limited data are available. Phentermine is an atypical amphetamine analog that has been contraindicated in patients with a history of cardiovascular disease. We present a case of nonischemic dilated cardiomyopathy in the setting of chronic phentermine/topiramate use, which is the most likely cause of her dilated cardiomyopathy.

Yamaguchi syndrome - An updated review article of electrocardiographic and echocardiographic findings.

Apical hypertrophic cardiomyopathy (ApHCM) is thought to be an uncommon variant of hypertrophic cardiomyopathy (HCM). This article is a literature review focusing on the characteristic electrocardiogram (EKG) and 2D echocardiogram findings as currently there are no specific ACC/AHA/ESC guidelines set as diagnostic criteria for ApHCM.

Serratia endocarditis, uncommon organism, with significant complications.

Serratia marcescens is an aerobic, Gram-negative bacillus predominantly seen in patients with intravenous drug use, immunosuppression, previous antibiotic exposure, and indwelling catheterization. Gram-negative organism causing infective endocarditis (IE) is rare. Serratia marcescens IE is uncommon and is reported to be seen in 0.14% of all cases. In this report, we discuss in detail about a 38-year-old man with a history of intravenous drug abuse presenting with S. marcescens related prosthetic valve IE.

Trends, Burden, and Impact of Arrhythmias on Cardiac Transplant Recipients: A 16-year Nationwide Study.

Orthotopic heart transplantation is the most effective long-term therapy for end-stage heart disease. Denervation with the loss of autonomic modulation, vasculopathy, utilization of immunosuppressant drugs, and allograft rejection may result in an increased prevalence of arrhythmias in transplanted hearts. We aim to describe the trends, distribution, and the clinical impact of arrhythmias in patients with transplanted hearts. We queried the National Inpatient Sample with administrative codes for cardiac transplant patients using procedure ICD-9-CM codes 37.5 and 33.6. Arrhythmias were extracted using validated ICD-9-CM codes. Statistical Analysis System (SAS) version 9.4 was used for analysis. There were a total of 30,020 hospitalizations of heart transplant recipients between 1999 and 2014 in the United States of which 1,6342 (54.4%) had an arrhythmia. The frequency of total arrhythmias increased from 53.6% (n=1,158) in 1999 to 67.3% (n=1,575) in 2014. Transplant patients with arrythmias was not associated with significantly higher inpatient mortality (7.72% vs 6.90%, P = 0.225). The most common arrythmia was atrial fibrillation ([AF]26.83%) followed by ventricular tachycardia (22.86%). Trends in mortality associated with arrhythmias following heart transplant has been decreasing from 12.3% in 1999 to 8.9% in 2014 (P = 0.04). Subgroup analysis of ventricular arrythmias (VA) following heart transplant were associated with increased mortality (8.61% vs 6.94%, P = 0.0229). Over half of patients develop 1 or more cardiac arrhythmia after heart transplant. There is an increasing secular trend in the frequency of arrhythmias post cardiac transplant with atrial fibrillation determined to be the most common arrhythmia.

Critical Stenosis in Left Anterior Descending Artery: Beware of T- Wave Inversions.

Wellens' syndrome (WS) is a pattern on an electrocardiogram (ECG) characterized by biphasic T waves or deeply inverted T waves in leads V2-V3 with a recent clinical history of angina. Wellens' pattern on the ECG is particular for critical left anterior descending artery (LAD) stenosis. Wellens' sign and WS have been used interchangeably in the literature. However, the typical patterns of ECG changes noted are mostly represented by Wellens' sign. These ECG changes have been crucial in identifying this subset of patients with severe LAD disease.

Brugada Sign in a Cardiac Transplant Donor.

Brugada syndrome (BrS) is a rare entity represented by the Brugada sign on an electrocardiogram (EKG) and is associated with sudden cardiac death (SCD). There is little data to guide the management of donor Brugada syndrome in the setting of cardiac transplantation. A 31-year-old male sustained out-of-hospital cardiac arrest secondary to polysubstance use and was found asystole. Bystander cardiopulmonary resuscitation (CPR) with advanced cardiovascular life support (ACLS) protocol was initiated. Return of spontaneous circulation (ROSC) was achieved and the patient was taken to the emergency room (ER) in sinus rhythm with an initial presenting EKG showing the Brugada sign. A toxicological screen for cocaine was positive. The patient was eventually declared brain dead and underwent angiographic and echocardiographic evaluation as a donor heart for cardiac transplantation and was accepted for transplantation. Cardiac arrest in a young patient with a Brugada sign on EKG is a concern for BrS. Cocaine exerts a sodium channel blockade that can unmask BrS. Genetic testing for sodium voltage-gated channel alpha subunit 5 (​​​​​​SCN5A) gene mutation was negative, however, only 15% to 30% of patients carry the mutation. We proceeded with cardiac transplantation and suggested an implantable cardioverter defibrillator (ICD) for primary prevention in the recipient, should further specialized testing reveal a continued concern for BrS. We suggest the necessity for further data to guide decisions in patients with BrS undergoing cardiac transplantation.

Left Main Coronary Artery Disease: The Forgotten Lead of Electrocardiogram Is Predictive.

An ST segment depression in eight or more leads along with ST segment elevation in lead aVR or V1, especially occurring during ischemic symptoms, has a very high predictive accuracy of left main or three-vessel disease, or tight proximal left anterior descending (LAD) coronary artery stenosis. We describe a classic case of a patient who presented with ST elevation in the lead aVR with diffuse ST segment depression during anginal symptoms and was found to have severe disease in the distal left main, ostial circumflex, and left anterior descending artery on an emergent coronary angiogram.

Machine learning predicting mortality in sarcoidosis patients admitted for acute heart failure.

Background: Sarcoidosis with cardiac involvement, although rare, has a worse prognosis than sarcoidosis involving other organ systems. Objective: We used a large dataset to train machine learning models to predict in-hospital mortality among sarcoidosis patients admitted with heart failure (HF). Method: Utilizing the National Inpatient Sample, we identified 4659 patients hospitalized with a primary diagnosis of HF. In this cohort, we identified patients with a secondary diagnosis of sarcoidosis using International Statistical Classification of Disease, Tenth Revision (ICD-10) codes. Patients were separated into a training group and a testing group in a 7:3 ratio. Least absolute shrinkage and selection operator regression was used to select variables to prevent model overfitting or underfitting. For machine learning models, logistic regression, random forest, and XGBoosting were applied in the training group. Parameters in each of the models were tuned using the GridSearchCV function. After training, all models were further validated in the testing group. Models were then evaluated using the area under curve (AUC) score, sensitivity, and specificity. Results: A total of 2.3% of sarcoidosis patients died in HF admission. Our machine learning model analysis found the RF model to have the highest AUC score and sensitivity. Feature analysis found that comorbid arrhythmias and fluid electrolyte disorders were the strongest factors in predicting in-hospital mortality. Conclusion: Machine learning methods can be useful in identifying predictors of in-hospital mortality in a given dataset.

Impact of Atrial Fibrillation on Outcomes of Aortic Valve Implantation.

New or preexisting atrial fibrillation (AF) is frequent in patients undergoing aortic valve replacement. We evaluated whether the presence of AF during transcatheter aortic valve implantation (TAVI) or surgical aortic valve replacement (SAVR) impacts the length of stay, healthcare adjusted costs, and inpatient mortality. The median length of stay in the patients with AF increased by 33.3% as compared with those without AF undergoing TAVI and SAVR (5 [3 to 8] days vs 3 [2 to 6] days, p <0.0001 and 8 [6 to 12] days vs 6 [5 to 10] days, p <0.0001, respectively). AF increased the median value of adjusted healthcare associated costs of both TAVI ($46,754 [36,613 to 59,442] vs $49,960 [38,932 to 64,201], p <0.0001) and SAVR ($40,948 [31,762 to 55,854] vs $45,683 [35,154 to 63,026], p <0.0001). The presence of AF did not independently increase the in-hospital mortality. In conclusion, in patients undergoing SAVR or TAVI, AF significantly increased the length of stay and adjusted healthcare adjusted costs but did not independently increase the in-hospital mortality.