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Dive into the research topics where Andrei Brateanu is active.

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Featured researches published by Andrei Brateanu.


Medical Education Online | 2012

A nomogram to predict the probability of passing the American Board of Internal Medicine examination.

Andrei Brateanu; Changhong Yu; Michael W. Kattan; Jeff Olender; Craig Nielsen

Background : Although the American Board of Internal Medicine (ABIM) certification is valued as a reflection of physicians’ experience, education, and expertise, limited methods exist to predict performance in the examination. Purpose : The objective of this study was to develop and validate a predictive tool based on variables common to all residency programs, regarding the probability of an internal medicine graduate passing the ABIM certification examination. Methods : The development cohort was obtained from the files of the Cleveland Clinic internal medicine residents who began training between 2004 and 2008. A multivariable logistic regression model was built to predict the ABIM passing rate. The model was represented as a nomogram, which was internally validated with bootstrap resamples. The external validation was done retrospectively on a cohort of residents who graduated from two other independent internal medicine residency programs between 2007 and 2011. Results : Of the 194 Cleveland Clinic graduates used for the nomogram development, 175 (90.2%) successfully passed the ABIM certification examination. The final nomogram included four predictors: In-Training Examination (ITE) scores in postgraduate year (PGY) 1, 2, and 3, and the number of months of overnight calls in the last 6 months of residency. The nomogram achieved a concordance index (CI) of 0.98 after correcting for over-fitting bias and allowed for the determination of an estimated probability of passing the ABIM exam. Of the 126 graduates from two other residency programs used for external validation, 116 (92.1%) passed the ABIM examination. The nomogram CI in the external validation cohort was 0.94, suggesting outstanding discrimination. Conclusions : A simple user-friendly predictive tool, based on readily available data, was developed to predict the probability of passing the ABIM exam for internal medicine residents. This may guide program directors’ decision-making related to program curriculum and advice given to individual residents regarding board preparation.


Clinical Journal of The American Society of Nephrology | 2012

Electrocardiogram Abnormalities and Cardiovascular Mortality in Elderly Patients with CKD

Mirela Dobre; Andrei Brateanu; Arash Rashidi; Mahboob Rahman

BACKGROUND AND OBJECTIVES Cardiovascular disease is the most common cause of death in CKD. This study evaluated whether electrocardiogram (ECG) abnormalities are predictors of cardiovascular death in CKD. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS The Cardiovascular Health Study limited database (1989-2005) was used to identify a cohort with CKD at baseline (estimated GFR < 60 mL/min per 1.73 m(2)). The patients were categorized as having major, minor, or no ECG abnormalities. Rates of adjudicated cardiovascular events and mortality were compared among the groups using proportional hazards regression models. RESULTS A total of 1192 participants had CKD at baseline; mean age ± SD was 74.7±6.2 years. Of these patients, 452 (38.8%) had major, 346 (29.7%) had minor, and 367 (31.5%) had no ECG abnormalities. Participants with estimated GFR < 60 mL/min per 1.73 m(2) were more likely to have ECG abnormalities at baseline (adjusted prevalence odds ratio, 1.23 [95% confidence interval (CI), 1.06-1.43]) than those with GFR ≥ 60 mL/min per 1.73 m(2). During mean follow-up of 10.3±3.8 years, 814 (68.3%) participants died. Compared with participants without ECG abnormalities, participants with major abnormalities had the highest risk for cardiovascular events and death; adjusted hazard ratios were 2.15 (95% CI, 1.56-2.98) and 2.27 (95% CI, 1.56-3.30), respectively. For minor ECG abnormalities, hazard ratios were 1.24 (95% CI, 0.91-1.70) and 1.48 (95% CI, 1.00-2.18), respectively. CONCLUSIONS In patients with CKD, major ECG abnormalities are frequently present and predict a significantly higher risk for death and adverse cardiovascular outcomes.


Thrombosis and Haemostasis | 2015

Probability of developing proximal deep-vein thrombosis and/or pulmonary embolism after distal deep-vein thrombosis

Andrei Brateanu; Krishna Patel; Kevin Chagin; Pichapong Tunsupon; Pojchawan Yampikulsakul; Gautam V Shah; Sintawat Wangsiricharoen; Linda Amah; Joshua Allen; Aryeh Shapiro; Neha Gupta; Lillie Morgan; Rahul Kumar; Craig Nielsen; Michael B. Rothberg

Isolated distal deep-vein thrombosis (DDVT) of the lower extremities can be associated with subsequent proximal deep-vein thrombosis (PDVT) and/or acute pulmonary embolism (PE). We aimed to develop a model predicting the probability of developing PDVT and/or PE within three months after an isolated episode of DDVT. We conducted a retrospective cohort study of patients with symptomatic DDVT confirmed by lower extremity vein ultrasounds between 2001-2012 in the Cleveland Clinic Health System. We reviewed all the ultrasounds, chest ventilation/perfusion and computed tomography scans ordered within three months after the initial DDVT to determine the incidence of PDVT and/or PE. A multiple logistic regression model was built to predict the rate of developing these complications. The final model included 450 patients with isolated DDVT. Within three months, 30 (7 %) patients developed an episode of PDVT and/or PE. Only two factors predicted subsequent thromboembolic complications: inpatient status (OR, 6.38; 95 % CI, 2.17 to 18.78) and age (OR, 1.02 per year; 95 % CI, 0.99 to 1.05). The final model had a bootstrap bias-corrected c-statistic of 0.72 with a 95 % CI (0.64 to 0.79). Outpatients were at low risk (< 4 %) of developing PDVT/PE. Inpatients aged ≥ 60 years were at high risk (> 10 %). Inpatients aged < 60 were at intermediate risk. We created a simple model that can be used to risk stratify patients with isolated DDVT based on inpatient status and age. The model might be used to choose between anticoagulation and monitoring with serial ultrasounds.


Journal of Graduate Medical Education | 2014

Transitioning From a Noon Conference to an Academic Half-Day Curriculum Model: Effect on Medical Knowledge Acquisition and Learning Satisfaction

Duc Ha; Michael Faulx; Carlos Isada; Michael W. Kattan; Changhong Yu; Jeff Olender; Craig Nielsen; Andrei Brateanu

BACKGROUND The academic half-day (AHD) curriculum is an alternative to the traditional noon conference in graduate medical education, yet little is known regarding its effect on knowledge acquisition and resident satisfaction. OBJECTIVE We investigated the association between the 2 approaches for delivering the curriculum and knowledge acquisition, as reflected by the Internal Medicine In-Training Examination (IM-ITE) scores and assessed resident learning satisfaction under both curricula. METHODS The Cleveland Clinic Internal Medicine Residency Program transitioned from the noon conference to the AHD curriculum in 2011. Covariates for residents enrolled from 2004 to 2011 were age; sex; type of medical degree; United States Medical Licensing Examination Step 1, 2 Clinical Knowledge; and IM-ITE-1 scores. We performed univariable and multivariable linear regressions to investigate the association between covariates and IM-ITE-2 and IM-ITE-3 scores. Residents also were surveyed about their learning satisfaction in both curricula. RESULTS Of 364 residents, 112 (31%) and 252 (69%) were exposed to the AHD and the noon conference curriculum, respectively. In multivariable analyses, the AHD curriculum was associated with higher IM-ITE-3 (regression coefficient, 4.8; 95% confidence interval 2.9-6.6) scores, and residents in the AHD curriculum had greater learning satisfaction compared with the noon conference cohort (Likert, 3.4 versus 3.0; P  =  .003). CONCLUSIONS The AHD curriculum was associated with improvement in resident medical knowledge acquisition and increased learner satisfaction.


Journal of Medical Economics | 2014

Quantifying the defensive medicine contribution to primary care costs

Andrei Brateanu; Sarah Schramm; Bo Hu; Kristen Boyer; Kelly Nottingham; Glen B. Taksler; Stacey E. Jolly; Kenneth Goodman; Anita D. Misra-Hebert; Nirav Vakharia; Aaron C. Hamilton; Robert Bales; Mahesh Manne; Amanda Lathia; Abhishek Deshpande; Michael B. Rothberg

Abstract Background: Defensive medicine represents one cause of economic losses in healthcare. Studies that measured its cost have produced conflicting results. Objective: To directly measure the proportion of primary care costs attributable to defensive medicine. Research design and methods: Six-week prospective study of primary care physicians from four outpatient practices. On 3 distinct days, participants were asked to rate each order placed the day before on the extent to which it represented defensive medicine, using a 5-point scale from 0 (not at all defensive) to 4 (entirely defensive). Main outcome measures: This study calculated the order defensiveness score for each order (the defensiveness/4) and the physician defensive score (the mean of all orders defensiveness scores). Each order was assigned a weighted cost by multiplying the total cost of that order (based on Medicare reimbursement rates) by the order defensiveness score. The proportion of total cost attributable to defensive medicine was calculated by dividing the weighted cost of defensive orders by the total cost of all orders. Results: Of 50 eligible physicians, 23 agreed to participate; 21 returned the surveys and rated 1234 individual orders on 347 patients. Physicians wrote an average of 3.6 ± 1.0 orders/visit with an associated total cost of


Frontiers in Physiology | 2017

Association between Carotid Intima Media Thickness and Heart Rate Variability in Adults at Increased Cardiovascular Risk

Valter Luis Pereira; Mirela Dobre; Sandra G. dos Santos; Juliana S. Fuzatti; Carlos R. Oliveira; Luciana A. Campos; Andrei Brateanu; Ovidiu Baltatu

72.60 ± 18.5 per order. Across physicians, the median physician defensive score was 0.018 (IQR = [0.008, 0.049]) and the proportion of costs attributable to defensive medicine was 3.1% (IQR = [0.5%, 7.2%]). Physicians with defensive scores above vs below the median had a similar number of orders and total costs per visit. Physicians were more likely to place defensive orders if trained in community hospitals vs academic centers (OR = 4.29; 95% CI = 1.55–11.86; p = 0.01). Conclusions: This study describes a new method to directly quantify the cost of defensive medicine. Defensive medicine appears to have minimal impact on primary care costs.


Annals of Pharmacotherapy | 2018

Thromboembolic and Major Bleeding Events With Rivaroxaban Versus Warfarin Use in a Real-World Setting:

Giavanna Russo-Alvarez; Kathryn A. Martinez; Megan Valente; Bo Hu; Jennifer Luxenburg; Alexander Chaitoff; Catherine Ituarte; Andrei Brateanu; Michael B. Rothberg

Background: Atherosclerotic carotid intima-media thickness (IMT) may be associated with alterations in the sensitivity of carotid baroreceptors. The aim of this study was to investigate the association between carotid IMT and the autonomic modulation of heart rate variability (HRV). Methods: A total of 101 subjects were enrolled in this prospective observational study. The carotid IMT was determined by duplex ultrasonography. The cardiac autonomic function was determined through HRV measures during the Deep Breathing Test. Linear regression models, adjusted for demographics, comorbidities, body mass index, waist-hip-ratio, and left ventricular ejection fraction were used to evaluate the association between HRV parameters and carotid IMT. Results: Participants had a mean age of 60.4 ± 13.4 years and an estimated 10-year atherosclerotic cardiovascular disease (ASCVD) risk score (using the Pooled Cohort Equations) of 16.4 ± 17. The mean carotid media thickness was highest (0.90 ± 0.19 mm) in the first quartile of the standard deviation of all RR intervals (SDNN) (19.7 ± 5.1 ms) and progressively declined in each subsequent quartile to 0.82 ± 0.21 mm, 0.81 ± 0.16 mm, and 0.68 ± 0.19 in quartiles 2 (36.5 ± 5.9 ms), 3 (57.7 ± 6.2 ms) and 4 (100.9 ± 22.2 ms), respectively. In multivariable adjusted models, there was a statistical significant association between SDNN and carotid IMT (OR −0.002; 95%CI −0.003 to −0.001, p = 0.005). The same significant association was found between carotid IMT and other measures of HRV, including coefficient of variation of RR intervals (CV) and dispersion of points along the line of identity (SD2). Conclusions: In a cohort of individuals at increased cardiovascular risk, carotid IMT as a marker of subclinical atherosclerosis was associated with alterations of HRV indicating an impaired cardiac autonomic control, independently of other cardiovascular risk factors.


Current Medical Research and Opinion | 2015

Heart rate variability after myocardial infarction: what we know and what we still need to find out

Andrei Brateanu

Background: Although randomized trials demonstrate the noninferiority of rivaroxaban compared with warfarin in the context of nonvalvular atrial fibrillation (AF), little is known about how these drugs compare in practice. Objective: To assess the relative effectiveness and safety of rivaroxaban versus warfarin in a large health system and to evaluate this association by time in therapeutic range (TTR). Methods: We conducted a retrospective cohort study with propensity matching in the Cleveland Clinic Health System. The study included patients initiated on warfarin or rivaroxaban for thromboembolic prevention in nonvalvular AF between January 2012 and July 2016. The main outcomes were thromboembolic events and major bleeds. Analyses were stratified by warfarin patients’ TTR. Results: The cohort consisted of 472 propensity-matched pairs. The mean age was 73.6 years (SD = 11.7), and the mean CHADS2 score was 1.8. The median TTR for warfarin patients was 64%. In the propensity-matched analysis, there was no significant difference in thromboembolic or major bleeding events between groups. Among warfarin patients with a TTR <64% and their matched rivaroxaban pairs, there was also no significant difference in thromboembolic or major bleeding events. Conclusions: Under real-world conditions, warfarin and rivaroxaban were associated with similar safety and effectiveness, even among those with suboptimal therapeutic control. Individualized decision making, taking into account the nontherapeutic tradeoffs associated with these medications (eg, monitoring, half-life, cost) is warranted.


Cleveland Clinic Journal of Medicine | 2015

Starting insulin in patients with type 2 diabetes: An individualized approach.

Andrei Brateanu; Giavanna Russo-Alvarez; Craig Nielsen

Abstract Heart rate variability (HRV) is represented by the variation of the time intervals between consecutive heartbeats or the instantaneous heart rates, and can be assessed with linear and non-linear parameters. It is a sensitive indicator of an overall system complexity and adaptability and can be used to diagnose the autonomic dysfunction and quantify the associated risk in a variety of cardiac and non-cardiac disorders. The aim of this review is to summarize the current literature on the value of HRV in predicting the risk of long-term all cause, cardiac, and arrhythmic mortality in survivors of myocardial infarction (MI). We also emphasize the lack of evidence on the role of therapeutic interventions such as medications, bio-behavioral treatments, cardiac rehabilitation, and exercise, in modifying the HRV in post-MI patients.


Cleveland Clinic Journal of Medicine | 2015

Why do clinicians continue to order 'routine preoperative tests' despite the evidence?

Andrei Brateanu; Michael B. Rothberg

Because type 2 diabetes mellitus is a progressive disease, most patients eventually need insulin. When and how to start insulin therapy are not one-size-fits-all decisions but rather must be individualized. This paper reviews the indications, goals, and options for insulin therapy in type 2 diabetes. Take into account the patient’s age, life expectancy, concurrent illnesses, risk of hypoglycemia, and other factors.

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Michael B. Rothberg

University of Missouri–Kansas City

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Mirela Dobre

Case Western Reserve University

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