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Following Renal Outcomes With Staging in Percutaneous Coronary Intervention Trials [Letter]
Shah, Mahek; Bangalore, Sripal; Rangaswami, Janani
PMID: 30139477
ISSN: 1876-7605
CID: 3255422
Salt and heart disease: a second round of "bad science"?
Messerli, Franz H; Hofstetter, Louis; Bangalore, Sripal
PMID: 30129446
ISSN: 1474-547x
CID: 3244652
Age, Cardiovascular Risk, and Blood Pressure Target [Letter]
Messerli, Franz H; Grodzicki, Tomasz; Messerli, Adrian; Bangalore, Sripal; Rexhaj, Emrush
PMID: 30092961
ISSN: 1558-3597
CID: 3236402
Detection of Atherosclerotic Cardiovascular Disease in Patients with Advanced Chronic Kidney Disease in the Cardiology and Nephrology Communities
Chaudhry, Rafia I; Mathew, Roy O; Sidhu, Mandeep S; Sidhu-Adler, Preety; Lyubarova, Radmila; Rangaswami, Janani; Salman, Loay; Asif, Arif; Fleg, Jerome L; McCullough, Peter A; Maddux, Frank; Bangalore, Sripal
BACKGROUND:Atherosclerotic cardiovascular disease (ASCVD) is a leading cause of morbidity and mortality among patients with chronic kidney disease (CKD) with a glomerular filtration rate of < 60 mL/min/1.73 m2 body surface area. The availability of high-quality randomized controlled trial data to guide management for the population with CKD and ASCVD is limited. Understanding current practice patterns among providers caring for individuals with CKD and CVD is important in guiding future trial questions. METHODS:A qualitative survey study was performed. An electronic survey regarding the diagnosis and management of CVD in patients with CKD was conducted using a convenience sample of 450 practicing nephrology and cardiology providers. The survey was administered using Qualtrics® (https://www.qualtrics.com). RESULTS:There were a total of 113 responses, 81 of which were complete responses. More than 90% of the respondents acknowledged the importance of CVD as a cause of morbidity and mortality in patients with CKD. Outside the kidney transplant evaluation setting, 5% of the respondents would screen an asymptomatic patient with advanced CKD for ASCVD. Outside the kidney transplant evaluation scenario, the respondents did not opt for invasive management strategies in advanced CKD. CONCLUSIONS:The survey results reveal a lack of consensus among providers caring for patients with advanced CKD about the management of ASCVD in this setting. Future randomized controlled trials will be needed to better inform the clinical management of ASCVD in these patients. The limitations of the study include its small sample size and the relatively low response rate among the respondents.
PMID: 30078001
ISSN: 1664-5502
CID: 3226422
Acute Myocardial Infarction During Pregnancy and the Puerperium in the United States
Smilowitz, Nathaniel R; Gupta, Navdeep; Guo, Yu; Zhong, Judy; Weinberg, Catherine R; Reynolds, Harmony R; Bangalore, Sripal
OBJECTIVE:To analyze trends in the incidence, in-hospital management, and outcomes of acute myocardial infarction (AMI) complicating pregnancy and the puerperium in the United States. PATIENTS AND METHODS/METHODS:Women 18 years or older hospitalized during pregnancy and the puerperium were identified from the National Inpatient Sample database from January 1, 2002, to December 31, 2014. International Classification of Diseases, Ninth Revision diagnosis and procedure codes were used to identify AMI during pregnancy-related admissions. RESULTS:Overall, 55,402,290 pregnancy-related hospitalizations were identified. A total of 4471 cases of AMI (8.1 [95% CI, 7.5-8.6] cases per 100,000 hospitalizations) occurred, with 922 AMI cases (20.6%) identified in the antepartum period, 1061 (23.7%) during labor and delivery, and 2390 (53.5%) in the postpartum period. ST-segment elevation myocardial infarction occurred in 1895 cases (42.4%), and non-ST-segment elevation myocardial infarction occurred in 2576 cases (57.6%). Among patients with pregnancy-related AMI, 2373 (53.1%) underwent invasive management and 1120 (25.1%) underwent coronary revascularization. In-hospital mortality was significantly higher in patients with AMI than in those without AMI during pregnancy (adjusted odds ratio, 39.9; 95% CI, 23.3-68.4; P<.001). The rate of AMI during pregnancy and the puerperium increased over time (adjusted odds ratio, 1.25 [for 2014 vs 2002]; 95% CI, 1.02-1.52). CONCLUSION/CONCLUSIONS:In patients hospitalized during pregnancy and the puerperium, AMI occurred in 1 of every 12,400 hospitalizations and rates of AMI increased over time. Maternal mortality rates were high. Additional research on the prevention and optimal management of AMI during pregnancy is necessary.
PMID: 30031555
ISSN: 1942-5546
CID: 3216252
Newer Generation Ultra-Thin Strut Drug-Eluting Stents versus Older Second-Generation Thicker Strut Drug-Eluting Stents for Coronary Artery Disease: A Meta-Analysis of Randomized Trials
Bangalore, Sripal; Toklu, Bora; Patel, Neil; Feit, Frederick; Stone, Gregg W
PMID: 29945934
ISSN: 1524-4539
CID: 3199142
Age, Blood Pressure Targets, and Guidelines: Rift Between Those Who Preach, Those Who Teach, and Those Who Treat?
Messerli, Franz H; Bangalore, Sripal; Messerli, Adrian W
PMID: 29986957
ISSN: 1524-4539
CID: 3192262
Future Direction for Using Artificial Intelligence to Predict and Manage Hypertension
Krittanawong, Chayakrit; Bomback, Andrew S; Baber, Usman; Bangalore, Sripal; Messerli, Franz H; Wilson Tang, W H
PURPOSE OF REVIEW/OBJECTIVE:Evidence that artificial intelligence (AI) is useful for predicting risk factors for hypertension and its management is emerging. However, we are far from harnessing the innovative AI tools to predict these risk factors for hypertension and applying them to personalized management. This review summarizes recent advances in the computer science and medical field, illustrating the innovative AI approach for potential prediction of early stages of hypertension. Additionally, we review ongoing research and future implications of AI in hypertension management and clinical trials, with an eye towards personalized medicine. RECENT FINDINGS/RESULTS:Although recent studies demonstrate that AI in hypertension research is feasible and possibly useful, AI-informed care has yet to transform blood pressure (BP) control. This is due, in part, to lack of data on AI's consistency, accuracy, and reliability in the BP sphere. However, many factors contribute to poorly controlled BP, including biological, environmental, and lifestyle issues. AI allows insight into extrapolating data analytics to inform prescribers and patients about specific factors that may impact their BP control. To date, AI has been mainly used to investigate risk factors for hypertension, but has not yet been utilized for hypertension management due to the limitations of study design and of physician's engagement in computer science literature. The future of AI with more robust architecture using multi-omics approaches and wearable technology will likely be an important tool allowing to incorporate biological, lifestyle, and environmental factors into decision-making of appropriate drug use for BP control.
PMID: 29980865
ISSN: 1534-3111
CID: 3186322
When Guideline Authors Ignore Their Own Guidelines [Letter]
Messerli, Franz H; Grodzicki, Tomasz; Bangalore, Sripal; Rimoldi, Stefano F; Rexhaj, Emrush
PMID: 29844149
ISSN: 1524-4563
CID: 3154872
Cardiovascular Hazards of Insufficient Treatment of Depression Among Patients with Known Cardiovascular Disease: A Propensity Score Adjusted Analysis: Bangalore et al, CVD Hazards of Insufficient Depression Treatment
Bangalore, Sripal; Shah, Ruchit; Pappadopulos, Elizabeth; Deshpande, Chinmay G; Shelbaya, Ahmed; Prieto, Rita; Stephens, Jennifer; McIntyre, Roger S
Aims/UNASSIGNED:The association between depression care adequacy and the risk of subsequent adverse cardiovascular disease (CVD) outcomes among patients with a previous diagnosis of myocardial infarction (MI) or stroke is not well defined. Methods and Results/UNASSIGNED:This retrospective cohort study used commercial claims data (2010-2015) and included adults with newly diagnosed and treated MDD following an initial MI or stroke diagnosis. Depression care adequacy was assessed during the 3-month period following the MDD diagnosis index date using two measures: antidepressant dosage adequacy and duration adequacy. Cox models adjusted for the propensity of receiving adequate depression care were used to compare the risk of a composite CVD outcome (MI, stroke, congestive heart failure [CHF], and angina) as well as each individual CVD event between patients receiving adequate versus inadequate depression care. 1568 patients were included in the final cohort. Of these, 937 (59.8%) were categorized as receiving inadequate depression care based on at least 1 of the 2 treatment adequacy criteria. Propensity score adjusted Cox models showed that depression care inadequacy was associated with a significantly higher risk of the composite CVD endpoint (HR, 1.20; 95% CI, 1.04-1.39), stroke (HR 1.20, 95% CI, 1.02-1.42) and angina (HR 1.95, 95% CI, 1.21-3.16) with no significant interaction based on cohort included (MI vs. stroke) or the definition of inadequate depression (dose vs. duration inadequacy) (Pinteraction>0.05). Conclusions/UNASSIGNED:Inadequate MDD care was associated with a higher risk of adverse CVD events. These findings reveal a significant unmet clinical need in patients with post-MI or post-stroke MDD that may impact CVD outcomes.
PMID: 29893803
ISSN: 2058-1742
CID: 3155172