Jenny Kotlerman
University of California, Los Angeles
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Publication
Featured researches published by Jenny Kotlerman.
American Journal of Obstetrics and Gynecology | 2009
Vladimir Nosov; Feng Su; Malaika W. Amneus; Michael J. Birrer; Terry Robins; Jenny Kotlerman; Srinivasa T. Reddy; Robin Farias-Eisner
OBJECTIVE Ovarian cancer has the highest mortality of all the gynecologic malignancies with most patients diagnosed at late stages. Serum CA-125 is elevated in only half of patients with stages I-II. We identified 3 serum proteins (apolipoprotein A-1, transthyretin, and transferrin) for the detection of ovarian cancer and reported them combined with CA-125 to effectively detect early-stage mucinous tumors. The objectives of this study were to assess the effectiveness of the panel in detection of early-stage serous and endometrioid ovarian cancers. STUDY DESIGN In all, 358 serum samples (control, benign adnexal masses, and early-stage and late-stage ovarian cancer) were obtained from the National Cancer Institute. The level of each marker was measured. Multiple logistic regression models were built to calculate sensitivity and specificity. RESULTS When combined with CA-125, the panel detected early-stage cancer with a sensitivity of 96%. The highest sensitivity was seen for detection of endometrioid subtype of early-stage carcinomas (98%). CONCLUSION A panel of 4 serum biomarkers effectively detected early-stage ovarian cancers with the highest reported overall sensitivity of 96%. Endometrioid tumors were detected at early stages with a sensitivity of 98%. Prospective clinical analysis of the panel is needed to validate it as an effective screening tool for early-stage ovarian cancer.
Environmental Health | 2007
James Dahlgren; Harpreet Takhar; Pamela Anderson-Mahoney; Jenny Kotlerman; Jim Tarr; Raphael H. Warshaw
BackgroundThis is a community comparison study that examines persons living in a subdivision exposed to petroleum products and mercury.MethodsWe compared their health status and questionnaire responses to those living in another community with no known exposures of this type.ResultsPristane house dust among the exposed homes was higher than in the comparison communities. The exposed subdivision has higher ambient air mercury levels compared to the control community. The prevalence of rheumatic diseases (OR = 10.78; CI = 4.14, 28.12) and lupus (OR = 19.33; CI = 1.96, 190.72) was greater in the exposed population compared to the unexposed. A higher prevalence of neurological symptoms, respiratory symptoms and several cardiovascular problems including stroke (OR = 15.41; CI = 0.78, 304.68) and angina (OR = 5.72; CI = 1.68, 19.43) was seen.ConclusionThere were statistically significant differences in B cells, Natural Killer Cells, gamma glutamyl transferase, globulin and serum calcium levels between control and exposed subjects.
Lung Cancer | 2009
Mary E. Cooley; Linda Sarna; Jenny Kotlerman; Jeanne M. Lukanich; Michael T. Jaklitsch; Sarah B. Green; Raphael Bueno
BACKGROUND Although it is recommended that smokers undergoing surgery for lung cancer quit smoking to reduce post-operative complications, few studies have examined patterns of smoking in the peri-operative period. The goals of this study were to determine: (1) patterns of smoking during post-operative recovery, (2) types of cessation strategies used to quit smoking, and (3) factors related to smoking after lung cancer surgery. METHODS Data were collected from 94 patients through chart review, tobacco, health status, and symptom questionnaires at 1, 2, and 4 months after surgery. Smoking status was assessed through self-report and urinary cotinine measurement. RESULTS Eighty-four patients (89%) were ever-smokers and 35 (37%) reported smoking at diagnosis. Thirty-nine (46%) ever-smokers remained abstinent, 13 (16%) continued smoking at all time-points, and 32 (38%) relapsed. Ten (46%) of those who relapsed were former-smokers and had not smoked for at least 1 year. Sixteen (46%) of those who were smoking at diagnosis received cessation assistance with pharmacotherapy being the most common strategy. Factors associated with smoking during recovery were younger age and quitting smoking < or =6 months before the diagnosis of lung cancer. Factors that were marginally significant were lower educational level, male gender, lower number of comorbidities, and the presence of pain. CONCLUSION Only half of those who were smoking received assistance to quit prior to surgery. Some patients were unable to quit and relapse rates post-surgery were high even among those who quit more than 1 year prior. Innovative programs incorporating symptom management and relapse prevention may enhance smoking abstinence during post-operative care.
Medical Decision Making | 2006
Susan L. Ettner; Jenny Kotlerman; Abdelmonem A. Afifi; Sondra Vazirani; Ron D. Hays; Martin F. Shapiro; Marie J. Cowan
Objective. Hospitals adapt to changing market conditions by exploring new care models that allow them to maintain high quality while containing costs. The authors examined the net cost savings associated with care management by teams of physicians and nurse practitioners, along with daily multidisciplinary rounds and postdischarge patient follow-up. Methods. One thousand two hundred and seven general medicine inpatients in an academic medical center were randomized to the intervention versus usual care. Intervention costs were compared to the difference in nonintervention costs, estimated by comparing changes between preadmission and postadmission in regression-adjusted costs for intervention versus usual care patients. Intervention costs were calculated by assigning hourly costs to the time spent by different providers on the intervention. Patient costs during the index hospital stay were estimated from administrative records and during the 4-month follow-up by weighting selfreported utilization by unit costs. Results. Intervention costs were
Neurobiology of Aging | 2012
John P. Andrawis; Kristy Hwang; Amity E. Green; Jenny Kotlerman; David Elashoff; Jonathan H. Morra; Jeffrey L. Cummings; Arthur W. Toga; Paul M. Thompson; Liana G. Apostolova
1187 per patient and associated with a significant
American Journal of Obstetrics and Gynecology | 2010
Gina Farias-Eisner; Feng Su; Terry Robbins; Jenny Kotlerman; Srinivasa T. Reddy; Robin Farias-Eisner
3331 reduction in nonintervention costs. About
New Solutions: A Journal of Environmental and Occupational Health Policy | 2008
Pamela Anderson-Mahoney; Jenny Kotlerman; Harpreet Takhar; David Gray; James Dahlgren
1947 of the savings were realized during the initial hospital stay, with the remainder attributable to reductions in postdischarge service use. After adjustment for possible attrition bias, a reasonable estimate of the cost offset was
Perspectives on Sexual and Reproductive Health | 2010
Christine J. De Rosa; Kathleen A. Ethier; Deborah H. Kim; William G. Cumberland; Abdelmonem A. Afifi; Jenny Kotlerman; Richard V. Loya; Peter R. Kerndt
2165, for a net cost savings of
Health Education & Behavior | 2009
Gerald F. Kominski; Abdelmonem A. Afifi; Jenny Kotlerman
978 per patient. Because health outcomes were comparable for the 2 groups, the intervention was cost-effective. Conclusions. Wider adoption of multidisciplinary interventions in similar settings might be considered. The savings previously reported with hospitalist models may also be achievable with other models that focus on efficient inpatient care and appropriate postdischarge care.
Journal of Urban Health-bulletin of The New York Academy of Medicine | 2008
Jill Berg; Rob McConnell; Joel Milam; Judith Galvan; Jenny Kotlerman; Peter S. Thorne; Craig A. Jones; Ronald M. Ferdman; Peyton A. Eggleston; Cynthia S. Rand; Mary Ann Lewis; John M. Peters; Jean L. Richardson
We applied an automated hippocampal segmentation technique based on adaptive boosting (AdaBoost) to the 1.5 T magnetic resonance imaging (MRI) baseline and 1-year follow-up data of 243 subjects with mild cognitive impairment (MCI), 96 with Alzheimers disease (AD), and 145 normal controls (NC) scanned as part of the Alzheimers Disease Neuroimaging Initiative (ADNI). MCI subjects with positive maternal history of dementia had smaller hippocampal volumes at baseline and at follow-up, and greater 12-month atrophy rates than subjects with negative maternal history. Three-dimensional maps and volumetric multiple regression analyses demonstrated a significant effect of positive maternal history of dementia on hippocampal atrophy in MCI and AD after controlling for age, ApoE4 genotype, and paternal history of dementia, respectively. ApoE4 showed an independent effect on hippocampal atrophy in MCI and AD and in the pooled sample.