Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Eva Petkova is active.

Publication


Featured researches published by Eva Petkova.


Journal of the American Medical Informatics Association | 2006

A Randomized Trial Comparing Telemedicine Case Management with Usual Care in Older, Ethnically Diverse, Medically Underserved Patients with Diabetes Mellitus

Steven Shea; Ruth S. Weinstock; Justin Starren; Jeanne A. Teresi; Walter Palmas; Lesley Field; Philip C. Morin; Robin Goland; Roberto Izquierdo; L. Thomas Wolff; Mohammed Ashraf; Charlyn Hilliman; Stephanie Silver; Suzanne Meyer; Douglas Holmes; Eva Petkova; Linnea Capps; Rafael Lantigua

BACKGROUNDnTelemedicine is a promising but largely unproven technology for providing case management services to patients with chronic conditions who experience barriers to access to care or a high burden of illness.nnnMETHODSnThe authors conducted a randomized, controlled trial comparing telemedicine case management to usual care, with blinding of those obtaining outcome data, in 1,665 Medicare recipients with diabetes, aged 55 years or greater, and living in federally designated medically underserved areas of New York State. The primary endpoints were HgbA1c, blood pressure, and low-density lipoprotein (LDL) cholesterol levels.nnnRESULTSnIn the intervention group (n = 844), mean HgbA1c improved over one year from 7.35% to 6.97% and from 8.35% to 7.42% in the subgroup with baseline HgbA1c > or =7% (n = 353). In the usual care group (n = 821) mean HgbA1c improved over one year from 7.42% to 7.17%. Adjusted net reductions (one-year minus baseline mean values in each group, compared between groups) favoring the intervention were as follows: HgbA1c, 0.18% (p = 0.006), systolic and diastolic blood pressure, 3.4 (p = 0.001) and 1.9 mm Hg (p < 0.001), and LDL cholesterol, 9.5 mg/dL (p < 0.001). In the subgroup with baseline HgbA1c > or =7%, net adjusted reduction in HgbA1c favoring the intervention group was 0.32% (p = 0.002). Mean LDL cholesterol level in the intervention group at one year was 95.7 mg/dL. The intervention effects were similar in magnitude in the subgroups living in New York City and upstate New York.nnnCONCLUSIONnTelemedicine case management improved glycemic control, blood pressure levels, and total and LDL cholesterol levels at one year of follow-up.


Annals of Clinical Psychiatry | 2002

A pilot placebo-controlled study of fluvoxamine for pathological gambling.

Carlos Blanco; Eva Petkova; Angela Ibáñez; Jerónimo Saiz-Ruiz

The objective of this study was to evaluate the efficacy of fluvoxamine in the treatment of pathological gambling. Thirty-two patients were treated for 6 months in a double-blind, placebo-controlled study of fluvoxamine 200 mg/day. Outcome measures included reduction in money and time spent gambling per week. Longitudinal mixed effects models and completers analyses were used for estimation and hypothesis testing. Fluvoxamine was not statistically significantly different from placebo in the overall sample. However, fluvoxamine was statistically significantly superior to placebo in males and in younger patients. The power of the study was limited by the high (59%) placebo-response rate. Fluvoxamine may be a useful treatment for certain subgroups of patients with pathological gambling. Several methodological recommendations are made for future pharmacological trials of pathological gambling.


Aids and Behavior | 1997

Substance Use During Sex and Sensation Seeking as Predictors of Sexual Risk Behavior Among HIV+ and HIV− Gay Men

Curtis Dolezal; Robert H. Remien; Eva Petkova

Substance use (i.e., use of recreational drugs and alcohol) has been associated with HIV-related sexual risk behavior in several studies involving gay men. One explanatory hypothesis proposes that substance use and sexual risk behavior are both a function of underlying personality traits. This paper examines sensation seeking and alcohol and drug use during sex as predictors of unprotected anal and oral sex and of a sexual risk index. The sample includes 117 predominantly gay-identified men (73 HIV+ and 44 HIV−) who participated in a 5-year natural history study of HIV disease in New York City. Repeated measures regression analyses tested predictor variables individually and in models including all predictor variables simultaneously. Alcohol use, drug use, and sensation seeking were each significantly associated with all sexual risk behavior variables when entered individually. When predictor variables were entered simultaneously in analyses involving unprotected receptive and insertive anal sex, sensation seeking remained a significant predictor, with substance use typically falling to marginal significance. However, significant associations between substance use and the other sexual risk behavior variables (oral sex and a risk index) are maintained even when controlling for sensation seeking. The results suggest that sensation seeking may partially account for the association between substance use and sexual risk behavior, but substantial independent associations also exist.


Obesity | 2007

Cognitive Behavioral Therapy and Fluoxetine for Binge Eating Disorder: Two-year Follow-up

Michael J. Devlin; Juli A. Goldfein; Eva Petkova; Linxu Liu; B. Timothy Walsh

Objective: This study assessed the long‐term effects of group behavioral treatment plus individual cognitive behavioral therapy (CBT) and/or fluoxetine in binge eating disorder (BED) patients.


Journal of the American Academy of Child and Adolescent Psychiatry | 2002

Menstrual Functioning and Psychopathology in a County-Wide Population of High School Girls

Katarzyna Bisaga; Eva Petkova; Jianfeng Cheng; Mark Davies; Judith F. Feldman; Agnes H. Whitaker

OBJECTIVEnTo examine the association between menstrual functioning and depressive disorder symptoms (DDS), obsessive-compulsive disorder symptoms (OCDS), and eating disorder symptoms (EDS) in high school girls.nnnMETHODnSurvey data from a county-wide high school population (completion rate 91%) were used. Associations between menstrual indices and scores above clinical cutoff on the Beck Depression Inventory, Leyton Obsessive-Compulsive Inventory-Child Version, and Eating Attitudes Test were examined by using logistic regression ( = 2,547 girls).nnnRESULTSnControlling for chronological age and other risk factors, late menarche was associated with DDS (odds ratio [OR] = 2.26, 95% confidence interval [CI] = 1.16-4.18). Gynecological year 1 (GY1) was associated with DDS (OR = 3.13, CI = 1.23-7.33), EDS (OR = 3.11, CI = 1.00-8.09), and OCDS, both number (OR = 5.75, CI = 1.79-15.74) and interference (OR = 12.55, CI = 3.20-41.4). Secondary amenorrhea was associated with DDS (OR = 1.94, CI = 11.30-2.84) and EDS (OR = 2.32, CI = 1.51-3.49); polymenorrhea with EDS (OR = 1.92, CI = 1.27-2.86); and irregular cycles with EDS (OR = 1.70, CI = 1.11-2.54) and DDS (OR = 1.76, CI = 11.21-2.53).nnnCONCLUSIONSnIn high school girls, late menarche, GY1, and menstrual cycle abnormalities are associated differentially with DDS, OCDS, and EDS.


Neuropsychopharmacology | 2000

A Method to Quantify Rater Bias in Antidepressant Trials

Eva Petkova; Frederic M. Quitkin; Jonathan W. Stewart; Donald F. Klein

Some studies indicate that the blind in clinical trials of the efficacy of antidepressant drugs is less than perfect. It has been suggested that, as a consequence of this incomplete blind, biased raters inflate efficacy and that, in fact, these drugs are relatively ineffective. However, in the literature, we could find no prior attempt to quantify rater bias and, thus, measure its contribution to claims of antidepressant efficacy. We used the distribution of SCL-90 (Symptom Check List) depression scale scores to derive a patient-based effect size, and contrasted this with the clinician-based effect size. We propose the difference between these two effect sizes (patient self-rating and clinician-derived) to be an indirect measure of bias. If patients had a prodrug bias, this method would be invalid. However the response rate from studies with active placebo suggest a patient prodrug bias is unlikely. The effect sizes derived from patient self-ratings are smaller than those derived from clinician ratings. This allows for the possibility that some clinician ratings were biased. However, quantifying the effect of bias suggests that it was insufficient to invalidate the original study conclusions based on clinician ratings, because the proportion of responders, based on patient self-ratings, differed significantly between the two drugs and placebo. Their 95% confidence intervals (CI) did not overlap. This analysis allows that some clinician ratings may be biased. However, the extent of bias appears insufficient to alter conclusions based on clinician ratings regarding efficacy of antidepressant drugs in this trial. Application of our approach in other trials is necessary to establish generalizability.


Comprehensive Psychiatry | 2010

The impact of comorbid dysthymic disorder on outcome in personality disorders

David J. Hellerstein; Andrew E. Skodol; Eva Petkova; Hui Xie; John C. Markowitz; Shirley Yen; John G. Gunderson; Carlos M. Grilo; Maria T. Daversa; Thomas H. McGlashan

OBJECTIVEnThe goal of our study was to investigate the impact of dysthymic disorder (DD), a form of chronic depression, on naturalistic outcome in individuals with personality disorders (PDs).nnnMETHODnThe Collaborative Longitudinal Personality Disorders Study is a cohort initially including 573 subjects with 4 targeted PDs (borderline, avoidant, schizotypal, and obsessive-compulsive) and 95 subjects with major depression but no PD. At baseline, 115 subjects were diagnosed with coexisting DD, of whom 109 (94.8%) were PD subjects. Regression analyses were performed to predict 3 classes of broad clinical outcome after 2 years of prospective follow-up. We hypothesized that DD diagnosis at baseline would be associated with worse outcome on (1) persistence of a PD diagnosis, (2) impairment in psychosocial functioning (as measured by the Longitudinal Interval Follow-up Evaluation), and (3) crisis-related treatment utilization.nnnRESULTSnBaseline DD diagnosis was associated with persistence of PD diagnosis at 2 years, particularly for borderline and avoidant PDs. It was associated with worse outcome on global social adjustment, life satisfaction, recreation, and friendships, but not employment or relationship with spouse. Contrary to expectation, DD did not increase suicide attempts, emergency room visits, or psychiatric hospitalizations.nnnCONCLUSIONSnComorbidity of DD is associated with persistence of PD diagnosis and with worse outcome on many, but not all, measures of psychosocial functioning.


Depression and Anxiety | 2015

EXPLORING PERSONALITY DIAGNOSIS STABILITY FOLLOWING ACUTE PSYCHOTHERAPY FOR CHRONIC POSTTRAUMATIC STRESS DISORDER

John C. Markowitz; Eva Petkova; Tatyana Biyanova; Ke Ding; Eun Jung Suh; Yuval Neria

Axis I comorbidity complicates diagnosing axis II personality disorders (PDs). PDs might influence Axis I outcome. No research has examined psychotherapy effects on PDs of treating Axis I comorbidity. Secondary analysis of a randomized controlled trial examined PD diagnostic stability after brief psychotherapy of chronic posttraumatic stress disorder (PTSD).


Obesity Research | 2005

Cognitive Behavioral Therapy and Fluoxetine as Adjuncts to Group Behavioral Therapy for Binge Eating Disorder.

Michael J. Devlin; Juli A. Goldfein; Eva Petkova; Huiping Jiang; Pamela S. Raizman; Sara Wolk; Laurel Mayer; Janel S. Carino; Dara Bellace; Claudia Kamenetz; Ilyse Dobrow; B. Timothy Walsh


Depression and Anxiety | 2004

Post-treatment effects of exposure therapy and clomipramine in obsessive-compulsive disorder.

H. Blair Simpson; Michael R. Liebowitz; Edna B. Foa; Michael J. Kozak; Andrew B. Schmidt; Vivienne Rowan; Eva Petkova; Kevin Kjernisted; Jonathan D. Huppert; Martin E. Franklin; Sharon O. Davies; Raphael Campeas

Collaboration


Dive into the Eva Petkova's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

B. Timothy Walsh

Columbia University Medical Center

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge