Cannabis, cocaine, methamphetamine, and opiates increase the risk of incident atrial fibrillation.

AIMS: Atrial fibrillation (AF) is now regarded as a preventable disease, requiring a search for modifiable risk factors. With legalization of cannabis and more lenient laws regarding the use of other illicit substances, investigation into the potential effects of methamphetamine, cocaine, opiate, and cannabis exposure on incident AF is needed. METHODS AND RESULTS: Using Office of Statewide Health Planning and Development databases, a longitudinal analysis was performed of adult Californians ≥18 years of age who received care in an emergency department, outpatient surgery facility, or hospital from 1 January 2005 to 31 December 2015. Associations between healthcare coding for the use of each substance and a new AF diagnosis were assessed. Among 23,561,884 patients, 98 271 used methamphetamine, 48 701 used cocaine, 10 032 used opiates, and 132 834 used cannabis. Of the total population, 998 747 patients (4.2%) developed incident AF during the study period. After adjusting for potential confounders and mediators, use of methamphetamines, cocaine, opiates, and cannabis was each associated with increased incidence of AF: hazard ratios 1.86 [95% confidence interval (CI) 1.81-1.92], 1.61 (95% CI 1.55-1.68), 1.74 (95% CI 1.62-1.87), and 1.35 (95% CI 1.30-1.40), respectively. Negative control analyses in the same cohort failed to reveal similarly consistent positive relationships. CONCLUSION: Methamphetamine, cocaine, opiate, and cannabis uses were each associated with increased risk of developing incident AF. Efforts to mitigate the use of these substances may represent a novel approach to AF prevention.

Human Immunodeficiency Virus Infection and Out-of-Hospital Cardiac Arrest.

Patients with human immunodeficiency virus (HIV) infection are at increased risk of cardiovascular disease, but studies on HIV as a risk factor for cardiac arrest in the general population are lacking. We aimed to examine the association of HIV infection with out-of-hospital cardiac arrests (OHCAs). We used the Office of Statewide Health Planning and Development data to evaluate HIV infection as a predictor of OHCA in all California emergency department encounters from 2005 to 2015, adjusting for age, gender, race, income, obesity, smoking, alcohol, substance abuse, hypertension (HTN), diabetes, coronary artery disease, congestive heart failure (CHF), atrial fibrillation, and chronic kidney disease (CKD). We also determined patient characteristics modifying these associations by including interaction terms in multivariable-adjusted models. In 18,542,761 patients (mean age 47 ± 20 years, 53% women, 43,849 with HIV) followed for a median 6.8 years, 133,983 new OHCA events occurred. Incidence rates in patients with HIV were higher than in patients without HIV (1.99 vs 1.16 OHCA events per 1,000-person-years follow-up). After multivariable adjustment, HIV was associated with a 2.5-fold higher risk of OHCA (hazard ratio 2.47, 95% confidence interval 2.29 to 2.66, p <0.001). The risk of OHCA with HIV was disproportionately stronger in younger patients, women, and in those with HTN, CHF, and CKD. In this large prospective study, HIV was associated with a 2.5-fold increased risk of OHCA, with a greater vulnerability to this outcome in patients with HIV who were female or had HTN, CHF, or CKD.

Adverse Pregnancy Outcomes and Incident Heart Failure in the Women's Health Initiative.

Importance: Some prior evidence suggests that adverse pregnancy outcomes (APOs) may be associated with heart failure (HF). Identifying unique factors associated with the risk of HF and studying HF subtypes are important next steps. Objective: To investigate the association of APOs with incident HF overall and stratified by HF subtype (preserved vs reduced ejection fraction) among postmenopausal women in the Women's Health Initiative (WHI). Design, Setting, and Participants: In 2017, an APO history survey was administered in the WHI study, a large multiethnic cohort of postmenopausal women. The associations of 5 APOs (gestational diabetes, hypertensive disorders of pregnancy [HDP], low birth weight, high birth weight, and preterm delivery) with incident adjudicated HF were analyzed. In this cohort study, the association of each APO with HF was assessed using logistic regression models and with HF subtypes using multinomial regression, adjusting for age, sociodemographic characteristics, smoking, randomization status, reproductive history, and other APOs. Data analysis was performed from January 2020 to September 2021. Exposures: APOs (gestational diabetes, HDP, low birth weight, high birth weight, and preterm delivery). Main Outcomes and Measures: All confirmed cases of women hospitalized with HF and HF subtype were adjudicated by trained physicians using standardized methods. Results: Of 10 292 women (median [IQR] age, 60 [55-64] years), 3185 (31.0%) reported 1 or more APO and 336 (3.3%) had a diagnosis of HF. Women with a history of any APO had a higher prevalence of hypertension, diabetes, coronary heart disease, or smoking. Of the APOs studied, only HDP was significantly associated with HF with a fully adjusted odds ratio (OR) of 1.75 (95% CI, 1.22-2.50), and with HF with preserved ejection fraction in fully adjusted models (OR, 2.06; 95% CI, 1.29-3.27). In mediation analyses, hypertension explained 24% (95% CI, 12%-73%), coronary heart disease 23% (95% CI, 11%-68%), and body mass index 20% (95% CI, 10%-64%) of the association between HDP and HF. Conclusions and Relevance: In this large cohort of postmenopausal women, HDP was independently associated with incident HF, particularly HF with preserved ejection fraction, and this association was mediated by subsequent hypertension, coronary heart disease, and obesity. These findings suggest that monitoring and modifying these factors early in women presenting with HDP may be associated with reduced long-term risk of HF.

Predicting Incident Heart Failure in Women With Machine Learning: The Women's Health Initiative Cohort.

BACKGROUND: Heart failure (HF) is a leading cause of cardiac morbidity among women, whose risk factors differ from those in men. We used machine-learning approaches to develop risk- prediction models for incident HF in a cohort of postmenopausal women from the Women's Health Initiative (WHI). METHODS: We used 2 machine-learning methods-Least Absolute Shrinkage and Selection Operator (LASSO) and Classification and Regression Trees (CART)-to perform variable selection on 1227 baseline WHI variables for the primary outcome of incident HF. These variables were then used to construct separate Cox proportional hazard models, and we compared these results, using receiver-operating characteristic (ROC) curve analysis, against a comparator model built using variables from the Atherosclerosis Risk in Communities (ARIC) HF prediction model. We analyzed 43,709 women who had 2222 incident HF events; median follow-up was 14.3 years. RESULTS: LASSO selected 10 predictors, and CART selected 11 predictors. The highest correlation between selected variables was 0.46. In addition to selecting well-established predictors such as age, myocardial infarction, and smoking, novel predictors included physical function, number of pregnancies, number of previous live births and age at menopause. In ROC analysis, the CART-derived model had the highest C-statistic of 0.83 (95% confidence interval [CI], 0.81-0.85), followed by LASSO 0.82 (95% CI, 0.81-0.84) and ARIC 0.73 (95% CI, 0.70-0.76). CONCLUSIONS: Machine-learning approaches can be used to develop HF risk-prediction models that can have better discrimination compared with an established HF risk model and may provide a basis for investigating novel HF predictors.

Characteristics and Behaviors Associated with Prevalent SARS-CoV-2 Infection.

INTRODUCTION: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus disease 2019 (Covid-19), has been a serious threat to global health. Previous work has focused primarily on hospitalized patients or on identifying risk factors for disease severity and mortality once the infection has taken place. We sought to leverage the ubiquity of smartphones and mobile applications to study risk factors for Covid-19 infection in a large, geographically heterogenous cohort. METHODS: We analyzed data obtained from the Covid-19 Citizen Science (CCS) Study, a worldwide, mobile application-based cohort. After employing forward selection to identify variables with p values < 0.1, multivariable logistic regression models were utilized to identify independent risk factors associated with prevalent SARS-CoV-2 infection. RESULTS: Among 36,041 participants in 113 countries and all 50 states in the US, 484 participants had prevalent SARS-CoV-2 infection. After multivariable adjustment, being a healthcare worker, living with at least one school-aged child, having pets at home, and having immunodeficiency were each associated with an increased odds of SARS-CoV-2. The association between pets and prevalent SARS-CoV-2 was driven by dog ownership. After adjustment for the same covariates, Asian or Pacific Islander race, receiving a flu shot within the past year, increased level of education, and smoking or vaping marijuana within the last 30 days were each associated with a lower odds of SARS-CoV-2. CONCLUSION: We identified various characteristics and behaviors, many of which are potentially modifiable, associated with prevalent SARS-CoV-2 infection in a world-wide mobile application-based cohort.

Incident Strokes Among American Indian Individuals With Atrial Fibrillation.

BACKGROUND American Indian individuals experience a relatively high risk for cardiovascular disease and have exhibited a higher risk of stroke compared with other racial and ethnic minorities. Although this population has the highest incidence of atrial fibrillation (AF) compared with other groups, the relationship between AF and nonhemorrhagic stroke among American Indian individuals compared with other groups has not been thoroughly studied. METHODS and RESULTS We used the Healthcare Cost and Utilization Project to evaluate risk of nonhemorrhagic stroke among American Indian individuals, with comparisons to White, Black, Hispanic, and Asian individuals, among all adult California residents receiving care in an emergency department, inpatient hospital unit, or ambulatory surgery setting from 2005 to 2011. Of 16 951 579 patients followed for a median 4.1 years, 105 822 (0.6%) were American Indian. After adjusting for age, sex, income level, insurance payer, hypertension, diabetes mellitus, coronary artery disease, congestive heart failure, cardiac surgery, valvular heart disease, chronic kidney disease, smoking, obstructive sleep apnea, pulmonary disease, and alcohol use, American Indian individuals with AF exhibited the highest risk of nonhemorrhagic stroke when compared with either non-American Indian individuals with AF (hazard ratio, 1.38; 95% CI, 1.23-1.55; P<0.0001) or to each race and ethnicity with AF. American Indian individuals also experienced the highest overall risk for stroke, with no evidence that AF disproportionately heightened that risk in interaction analyses. CONCLUSIONS American Indian individuals experienced the highest risk of nonhemorrhagic stroke, whether in the presence or absence of AF. Our findings likely suggest an opportunity to further study, if not immediately address, guideline-adherent anticoagulation prescribing patterns among American Indian individuals with AF.

Heart Failure, Atrioventricular Block, and Ventricular Tachycardia in Sarcoidosis.

Background Sarcoidosis is a granulomatous disease usually affecting the lungs, although cardiac morbidity may be common. The risk of these outcomes and the characteristics that predict them remain largely unknown. This study investigates the epidemiology of heart failure, atrioventricular block, and ventricular tachycardia among patients with and without sarcoidosis. Methods and Results We identified California residents aged ≥21 years using the Office of Statewide Health Planning and Development ambulatory surgery, emergency, or inpatient databases from 2005 to 2015. The risk of sarcoidosis on incident heart failure, atrioventricular block, and ventricular tachycardia were each determined. Linkage to the Social Security Death Index was used to ascertain overall mortality. Among 22 527 964 California residents, 19 762 patients with sarcoidosis (0.09%) were identified. Sarcoidosis was the strongest predictor of heart failure (hazard ratio [HR], 11.2; 95% CI, 10.7-11.7), atrioventricular block (HR, 117.7; 95% CI, 103.3-134.0), and ventricular tachycardia (HR, 26.1; 95% CI, 24.2-28.1) identified among all risk factors. The presence of any cardiac involvement best predicted each outcome. Approximately 22% (95% CI, 18%-26%) of the relationship between sarcoidosis and increased mortality was explained by the presence of at least 1 of these cardiovascular outcomes. Conclusions The magnitude of risk associated with sarcoidosis as a predictor of heart failure, atrioventricular block, and ventricular tachycardia, exceeds all established risk factors. Surveillance for and anticipation of these outcomes among patients with sarcoidosis is indicated, and consideration of a sarcoidosis diagnosis may be prudent among patients with heart failure, atrioventricular block, or ventricular tachycardia.

Cardiovascular Disease-Related Pregnancy Complications Are Associated with Increased Maternal Levels and Trajectories of Cardiovascular Disease Biomarkers During and After Pregnancy.

Background: Having a pregnancy complicated by hypertensive disorders of pregnancy (HDP) and/or having a small or preterm baby put a woman at risk for later cardiovascular disease (CVD). It is uncertain if higher maternal CVD risk factors (reflected by increased peripartum CVD biomarker levels) account for this risk, or if experiencing a complicated pregnancy itself increases a woman's CVD risk (reflected by an increase in biomarker trajectories from early pregnancy to postpartum). Methods: We conducted a secondary analysis of an 8-week mindful eating and stress reduction intervention in 110 pregnant women. We used mixed linear regression analysis to compare CVD biomarker levels and trajectories, between women with and without a CVD-related pregnancy complication (including HDP [gestational hypertension or preeclampsia] or having a small for gestational age [<10th percentile] or preterm [<37 weeks] baby), at three times: (1) 12-20 weeks of gestation, (2) 3 months postpartum, and (3) 9 months postpartum. CVD biomarkers studied included serum glucose, insulin, homeostasis model assessment of insulin resistance (HOMA-IR), body mass index (BMI), blood pressure (BP), interleukin-6 (IL-6), tumor necrosis factor, and lipids. We adjusted for age, maternal smoking, prepregnancy BMI, BP, age × time, and BMI × time. Results: Women had a mean age of 28 years (standard deviation [SD] 6), mean prior pregnancies of 0.8 (SD 1.0), and 22 women had one or more CVD-related pregnancy complications. HOMA-IR, diastolic BP, triglyceride, high-density lipoprotein cholesterol, and IL-6 average levels, but not trajectories, differed among women with complicated versus normal pregnancy (all p values were ≤0.04). Peripartum glucose and systolic BP trajectories were statistically greater in complicated versus normal pregnancies (p values were 0.008 and 0.01, respectively). Conclusion: We conclude that the experience of a complicated pregnancy in addition to elevated CVD risk factor levels may both increase a woman's risk of future CVD. ClinicalTrials.gov Identifier: NCT01307683.

Relation of Pregnancy Loss to Risk of Cardiovascular Disease in Parous Postmenopausal Women (From the Women's Health Initiative).

Women with history of pregnancy loss (PL) have higher burden of cardiovascular disease (CVD) later in life, yet it is unclear whether this is attributable to an association with established CVD risk factors (RFs). We examined whether PL is associated with CVD RFs and biomarkers in parous postmenopausal women in the Women's Health Initiative, and whether the association between PL and CVD RFs accounted for the association between PL and incident CVD. Linear and logistic regressions were used to estimate associations between baseline history of PL and CVD RFs. Cox proportional hazards regression models were used to estimate the associations between baseline history of PL and incident CVD after adjustment for baseline RFs. Of 79,121 women, 27,272 (35%) had experienced PL. History of PL was associated with higher body mass index (p < 0.0001), hypertension (p < 0.0001), diabetes (p = 0.003), depression (p < 0.0001), and lower income (p < 0.0001), physical activity (p = 0.01), poorer diet (p < 0.0001), smoking (p < 0.0001), and alcohol use (p < 0.0001). After adjustment for CVD RFs, PL was significantly associated with incident CVD over mean follow up of 16 years (hazard ratio 1.11, 95% confidence interval 1.06 to 1.16). In conclusion, several CVD RFs are associated with PL, but they do not entirely account for the association between PL and incident CVD.

Cigarette and e-cigarette dual use and risk of cardiopulmonary symptoms in the Health eHeart Study.

E-cigarettes are promoted as healthier alternatives to conventional cigarettes. Many cigarette smokers use both products. It is unknown whether the additional use of e-cigarettes among cigarette smokers (dual users) is associated with reduced exposure to tobacco-related health risks. Cross-sectional analysis was performed using baseline data from the Health eHeart Study, among English-speaking adults, mostly from the United States. Cigarette use (# cigarettes/day) and/or e-cigarette use (# days, # cartridges, and # puffs) were compared between cigarette only users vs. dual users. Additionally, we examined cardiopulmonary symptoms/ conditions across product use: no product (neither), e-cigarettes only, cigarettes only, and dual use. Among 39,747 participants, 573 (1.4%) reported e-cigarette only use, 1,693 (4.3%) reported cigarette only use, and 514 (1.3%) dual use. Dual users, compared to cigarette only users, reported a greater median (IQR) number of cigarettes per day, 10.0 (4.0-20.0) vs. 9.0 (3.0-15.0) (p < .0001), a lower (worse) median (IQR) SF-12 general health score, 3.3 (2.8-3.8) vs. 3.5 (2.8-3.9) (p = .0014), and a higher (worse) median (IQR) breathing difficulty score in the past month, 2.0 (1.0-2.0) vs. 1.0 (1.0-2.0) (p = .001). Of the 19 cardiopulmonary symptoms/ conditions, having a history of arrhythmia was significantly different between cigarette only users (14.2%) and dual users (17.8%) (p = .02). In this sample, dual use was not associated with reduced exposure to either (i) cigarettes, compared to cigarette only users or (ii) e-cigarettes, compared to e-cigarette only users. E-cigarette only use, compared to no product use, was associated with lower general health scores, higher breathing difficulty scores (typically and past month), and greater proportions of those who responded 'yes' to having chest pain, palpitations, coronary heart disease, arrhythmia, COPD, and asthma. These data suggest the added use of e-cigarettes alone may have contributed to cardiopulmonary health risks particularly respiratory health risks.

Alcohol Abuse and Cardiac Disease.

BACKGROUND: Understanding the relationship between alcohol abuse, a common and theoretically modifiable condition, and the most common cause of death in the world, cardiovascular disease, may inform potential prevention strategies. OBJECTIVES: The study sought to investigate the associations among alcohol abuse and atrial fibrillation (AF), myocardial infarction (MI), and congestive heart failure (CHF). METHODS: Using the Healthcare Cost and Utilization Project database, we performed a longitudinal analysis of California residents ≥21 years of age who received ambulatory surgery, emergency, or inpatient medical care in California between 2005 and 2009. We determined the risk of an alcohol abuse diagnosis on incident AF, MI, and CHF. Patient characteristics modifying the associations and population-attributable risks were determined. RESULTS: Among 14,727,591 patients, 268,084 (1.8%) had alcohol abuse. After multivariable adjustment, alcohol abuse was associated with an increased risk of incident AF (hazard ratio [HR]: 2.14; 95% confidence interval [CI]: 2.08 to 2.19; p < 0.0001), MI (HR: 1.45; 95% CI: 1.40 to 1.51; p < 0.0001), and CHF (HR: 2.34; 95% CI: 2.29 to 2.39; p < 0.0001). In interaction analyses, individuals without conventional risk factors for cardiovascular disease exhibited a disproportionately enhanced risk of each outcome. The population-attributable risk of alcohol abuse on each outcome was of similar magnitude to other well-recognized modifiable risk factors. CONCLUSIONS: Alcohol abuse increased the risk of AF, MI, and CHF to a similar degree as other well-established risk factors. Those without traditional cardiovascular risk factors are disproportionately prone to these cardiac diseases in the setting of alcohol abuse. Thus, efforts to mitigate alcohol abuse might result in meaningful reductions of cardiovascular disease.

Problemas relacionados con el consumo de alcohol en jóvenes de la provincia de Jujuy, Argentina / Problems related to alcohol drinking among youth in Jujuy, Argentina

OBJETIVO: Examinar los patrones de consumo y los problemas relacionados con el alcohol en jóvenes de la provincia de Jujuy, Argentina. MATERIAL Y MÉTODOS: En el año 2005 se aplicó una encuesta a una muestra representativa de 2924 jóvenes de noveno grado (12-17 años), incluidas la información sociodemográfica y de consumo y la prueba AUDIT-C. RESULTADOS: Hasta 9 por ciento de las mujeres y 11 por ciento de los varones refirieron consumo de riesgo; asimismo, 12 por ciento de las mujeres y 19 por ciento de los varones notificaron síntomas de dependencia. Las mujeres presentaban menor probabilidad que los varones de experimentar síntomas de dependencia (RM ajustada 0.7; IC95 por ciento 0.6-0.8) o de consumo perjudicial (RM ajustada 0.7; IC95 por ciento 0.6-0.8). Tener mayor edad, trabajar y asistir al turno nocturno fueron factores de riesgo para el consumo de riesgo, síntomas de dependencia y consumo perjudicial. CONCLUSIONES: Los resultados ponen de relieve la importancia de instituir intervenciones de prevención y tratamiento para los adolescentes.

OBJECTIVE: To examine drinking patterns and alcohol-related problems among youth in Jujuy, Argentina. MATERIAL AND METHODS: A survey was conducted in 2005 with a representative sample of 9th grade youth (12 to 17 years old) including sociodemographic and consumption data, and the AUDIT-C test. RESULTS: Nine percent of girls and 11 percent of boys reported hazardous drinking; 12 percent of girls and 19 percent of boys reported dependence symptoms. The odds ratio for dependence symptoms (adjusted OR 0.7; 95 percentCI: 0.6-0.8) and for hazardous drinking (adjusted OR 0.7; 95 percentCI: 0.6-0.8) was significantly lower for girls compared with boys. Older age, working, and attending night school were risk factors for hazardous drinking, dependence symptoms, and harmful drinking. CONCLUSIONS: A significant proportion of youth reported problematic patterns of alcohol drinking, highlighting the need to implement prevention and treatment interventions tailored to the adolescent population.