يعرض 1 - 10 نتائج من 47 نتيجة بحث عن '"Icitovic, Nikolina"', وقت الاستعلام: 0.87s تنقيح النتائج
  1. 1
    دورية أكاديمية

    المصدر: Journal of Allergy and Clinical Immunology. 141(3)

    الوصف: BackgroundThe use of inflammatory biomarkers to delineate the type of lung inflammation present in asthmatic subjects is increasingly common. However, the effect of obesity on these markers is unknown.ObjectivesWe aimed to determine the effect of obesity on conventional markers of inflammation in asthmatic subjects.MethodsWe performed secondary analysis of data from 652 subjects previously enrolled in 2 Asthma Clinical Research Network trials. We performed linear correlations between biomarkers and logistic regression analysis to determine the predictive value of IgE levels, blood eosinophil counts, and fraction of exhaled nitric oxide values in relationship to sputum eosinophil counts (>2%), as well as to determine whether cut points existed that would maximize the sensitivity and specificity for predicting sputum eosinophilia in the 3 weight groups.ResultsOverall, statistically significant but relatively weak correlations were observed among all 4 markers of inflammation. Within obese subjects, the only significant correlation found was between IgE levels and blood eosinophil counts (r = 0.33, P

    وصف الملف: application/pdf

  2. 2
    دورية أكاديمية

    المصدر: The Journal of allergy and clinical immunology. 132(5)

    الوصف: BackgroundTiotropium has activity as an asthma controller. However, predictors of a positive response to tiotropium have not been described.ObjectiveWe sought to describe individual and differential responses of asthmatic patients to salmeterol and tiotropium when added to an inhaled corticosteroid, as well as predictors of a positive clinical response.MethodsData from the double-blind, 3-way, crossover National Heart, Lung, and Blood Institute's Asthma Clinical Research Network's Tiotropium Bromide as an Alternative to Increased Inhaled Glucocorticoid in Patients Inadequately Controlled on a Lower Dose of Inhaled Corticosteroid (ClinicalTrials.gov number, NCT00565266) trial were analyzed for individual and differential treatment responses to salmeterol and tiotropium and predictors of a positive response to the end points FEV1, morning peak expiratory flow (PEF), and asthma control days (ACDs).ResultsAlthough approximately equal numbers of patients showed a differential response to salmeterol and tiotropium in terms of morning PEF (n = 90 and 78, respectively) and ACDs (n = 49 and 53, respectively), more showed a differential response to tiotropium for FEV1 (n = 104) than salmeterol (n = 62). An acute response to a short-acting bronchodilator, especially albuterol, predicted a positive clinical response to tiotropium for FEV1 (odds ratio, 4.08; 95% CI, 2.00-8.31; P < .001) and morning PEF (odds ratio, 2.12; 95% CI, 1.12-4.01; P = 0.021), as did a decreased FEV1/forced vital capacity ratio (FEV1 response increased 0.39% of baseline for every 1% decrease in FEV1/forced vital capacity ratio). Higher cholinergic tone was also a predictor, whereas ethnicity, sex, atopy, IgE level, sputum eosinophil count, fraction of exhaled nitric oxide, asthma duration, and body mass index were not.ConclusionAlthough these results require confirmation, predictors of a positive clinical response to tiotropium include a positive response to albuterol and airway obstruction, factors that could help identify appropriate patients for this therapy.

    وصف الملف: application/pdf

  3. 3
    دورية أكاديمية

    المصدر: JAMA. 308(10)

    الوصف: ContextNo consensus exists for adjusting inhaled corticosteroid therapy in patients with asthma. Approaches include adjustment at outpatient visits guided by physician assessment of asthma control (symptoms, rescue therapy, pulmonary function), based on exhaled nitric oxide, or on a day-to-day basis guided by symptoms.ObjectiveTo determine if adjustment of inhaled corticosteroid therapy based on exhaled nitric oxide or day-to-day symptoms is superior to guideline-informed, physician assessment-based adjustment in preventing treatment failure in adults with mild to moderate asthma.Design, setting, and participantsA randomized, parallel, 3-group, placebo-controlled, multiply-blinded trial of 342 adults with mild to moderate asthma controlled by low-dose inhaled corticosteroid therapy (n = 114 assigned to physician assessment-based adjustment [101 completed], n = 115 to biomarker-based [exhaled nitric oxide] adjustment [92 completed], and n = 113 to symptom-based adjustment [97 completed]), the Best Adjustment Strategy for Asthma in the Long Term (BASALT) trial was conducted by the Asthma Clinical Research Network at 10 academic medical centers in the United States for 9 months between June 2007 and July 2010.InterventionsFor physician assessment-based adjustment and biomarker-based (exhaled nitric oxide) adjustment, the dose of inhaled corticosteroids was adjusted every 6 weeks; for symptom-based adjustment, inhaled corticosteroids were taken with each albuterol rescue use.Main outcome measureThe primary outcome was time to treatment failure.ResultsThere were no significant differences in time to treatment failure. The 9-month Kaplan-Meier failure rates were 22% (97.5% CI, 14%-33%; 24 events) for physician assessment-based adjustment, 20% (97.5% CI, 13%-30%; 21 events) for biomarker-based adjustment, and 15% (97.5% CI, 9%-25%; 16 events) for symptom-based adjustment. The hazard ratio for physician assessment-based adjustment vs biomarker-based adjustment was 1.2 (97.5% CI, 0.6-2.3). The hazard ratio for physician assessment-based adjustment vs symptom-based adjustment was 1.6 (97.5% CI, 0.8-3.3).ConclusionAmong adults with mild to moderate persistent asthma controlled with low-dose inhaled corticosteroid therapy, the use of either biomarker-based or symptom-based adjustment of inhaled corticosteroids was not superior to physician assessment-based adjustment of inhaled corticosteroids in time to treatment failure.Trial registrationclinicaltrials.gov Identifier: NCT00495157.

    وصف الملف: application/pdf

  4. 4
    دورية أكاديمية

    المصدر: BMC Medical Genetics, Vol 5, Iss 1, p 18 (2004)

    مصطلحات موضوعية: Internal medicine, RC31-1245, Genetics, QH426-470

    الوصف: Background Genetic counseling has been an important tool for evaluating and communicating disease susceptibility for decades, and it has been applied to predict risks for a wide class of hereditary disorders. Most diseases are complex in nature and are affected by multiple genes and environmental conditions; it is highly likely that DNA tests alone do not define all the genetic factors responsible for a disease, so that persons classified into the same risk group by DNA testing actually could have different disease susceptibilities. Ignorance of population heterogeneity may lead to biased risk estimates, whereas additional information on population heterogeneity may improve the precision of such estimates. Methods Although DNA tests are widely used, few studies have investigated the accuracy of the predicted risks. We examined the impact of population heterogeneity on predicted disease risks by simulation of three different heterogeneity scenarios and studied the precision and accuracy of the risks estimated from a logistic regression model that ignored population heterogeneity. Moreover, we also incorporated information about population heterogeneity into our original model and investigated the resulting improvement in the accuracy of risk estimation. Results We found that heterogeneity in one or more categories could lead to biased estimates not only in the "contaminated" categories but also in other homogeneous categories. Incorporating information about population heterogeneity into the original model greatly improved the accuracy of risk estimation. Conclusions Our findings imply that without thorough knowledge about genetic basis of the disease, risks estimated from DNA tests may be misleading. Caution should be taken when evaluating the predicted risks obtained from genetic counseling. On the other hand, the improved accuracy of risk estimates after incorporating population heterogeneity information into the model did point out a promising direction for genetic counseling, since more and more new ...

  5. 5
    دورية أكاديمية

    الوصف: Background Genetic counseling has been an important tool for evaluating and communicating disease susceptibility for decades, and it has been applied to predict risks for a wide class of hereditary disorders. Most diseases are complex in nature and are affected by multiple genes and environmental conditions; it is highly likely that DNA tests alone do not define all the genetic factors responsible for a disease, so that persons classified into the same risk group by DNA testing actually could have different disease susceptibilities. Ignorance of population heterogeneity may lead to biased risk estimates, whereas additional information on population heterogeneity may improve the precision of such estimates. Methods Although DNA tests are widely used, few studies have investigated the accuracy of the predicted risks. We examined the impact of population heterogeneity on predicted disease risks by simulation of three different heterogeneity scenarios and studied the precision and accuracy of the risks estimated from a logistic regression model that ignored population heterogeneity. Moreover, we also incorporated information about population heterogeneity into our original model and investigated the resulting improvement in the accuracy of risk estimation. Results We found that heterogeneity in one or more categories could lead to biased estimates not only in the "contaminated" categories but also in other homogeneous categories. Incorporating information about population heterogeneity into the original model greatly improved the accuracy of risk estimation. Conclusions Our findings imply that without thorough knowledge about genetic basis of the disease, risks estimated from DNA tests may be misleading. Caution should be taken when evaluating the predicted risks obtained from genetic counseling. On the other hand, the improved accuracy of risk estimates after incorporating population heterogeneity information into the model did point out a promising direction for genetic counseling, since more and more new ...

  6. 6
    دورية أكاديمية

    المساهمون: Jiang, Jieying, Icitovic, Nikolina, Crane, Michael A., Dasaro, Christopher R., Kaplan, Julia R., Lucchini, Roberto, Luft, Benjamin J., Moline, Jacqueline M., Pendem, Lakshmi, Shapiro, Moshe, Udasin, Iris G., Todd, Andrew C., Teitelbaum, Susan L.

    العلاقة: info:eu-repo/semantics/altIdentifier/pmid/27424876; info:eu-repo/semantics/altIdentifier/wos/WOS:000386045000013; volume:59; issue:9; firstpage:815; lastpage:822; numberofpages:8; journal:AMERICAN JOURNAL OF INDUSTRIAL MEDICINE; https://hdl.handle.net/11380/1318827Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84984860922; http://onlinelibrary.wiley.com/journal/10.1002Test/(ISSN)1097-0274

  7. 7
    دورية أكاديمية

    المساهمون: Icitovic, Nikolina, Onyebeke, Lynn C., Wallenstein, Sylvan, Dasaro, Christopher R., Harrison, Denise, Jiang, Jieying, Kaplan, Julia R., Lucchini, Roberto, Luft, Benjamin J., Moline, Jacqueline M., Pendem, Lakshmi, Shapiro, Moshe, Udasin, Iris G., Todd, Andrew C., Teitelbaum, Susan L.

    العلاقة: info:eu-repo/semantics/altIdentifier/pmid/27582478; info:eu-repo/semantics/altIdentifier/wos/WOS:000386045000007; volume:59; issue:9; firstpage:761; lastpage:766; numberofpages:6; journal:AMERICAN JOURNAL OF INDUSTRIAL MEDICINE; https://hdl.handle.net/11380/1318833Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84984797236; http://onlinelibrary.wiley.com/journal/10.1002Test/(ISSN)1097-0274

  8. 8
    دورية أكاديمية

    المصدر: Progress in Transplantation ; volume 23, issue 1, page 84-91 ; ISSN 1526-9248 2164-6708

    مصطلحات موضوعية: Transplantation

    الوصف: Context Aging, higher prevalence of diabetes, worsening obesity, and hyperglycemia among potential donors increase the likelihood that pancreata will be declined by transplant centers. Hemoglobin A lc testing, also known as glycated hemoglobin testing, identifies a donor's average blood glucose concentration for the preceding 2 to 3 months and is the standard test for identifying prolonged periods of hyperglycemia. Objective To compare pancreas utilization rates before and after implementation of hemoglobin A lc testing. Design A retrospective study of data from the New York Organ Donor Network was conducted. Potential donors were defined as standard criteria donors who had no history of diabetes and were not seropositive for hepatitis B or C. Criteria for “ideal” potential pancreas donors were based on age, body mass index, lipase level, and terminal creatinine level. Potential donors who did not meet the criteria for ideal donors were considered “expanded” potential pancreas donors. Pancreas utilization rate was defined as the number of pancreata transplanted divided by the number of potential pancreas donors. Results Of 779 standard criteria donors, 691 (89%) were potential pancreas donors: 251 ideal (36%) and 440 expanded (64%) donors. In 2005 and 2006, before hemoglobin A lc testing, pancreas utilization rates were 21% and 18%, respectively. In 2008, 2009, and 2010, after hemoglobin A lc testing was incorporated, utilization rates were 27%, 28%, and 32%, respectively. Utilization of ideal donors increased from 33% to 51% ( P = .003), and utilization of expanded donors increased from 11% to 17% ( P = .05). Pancreas utilization increased 51.0%, and pancreas discards decreased 50.8% with the implementation of hemoglobin A lc testing. Conclusion Hemoglobin A lc testing may increase utilization of ideal and expanded criteria pancreata.

  9. 9
    دورية أكاديمية

    المصدر: Artificial Organs ; volume 36, issue 1 ; ISSN 0160-564X 1525-1594

    الوصف: This study was designed to investigate the expression kinetics and patterns of plasma biomarkers throughout the pediatric cardiopulmonary bypass (CPB) procedure to help predict those patients most at risk for complications. This study sampled plasma from pediatric CPB patients at five time points before, during, and after CPB. A dual‐platform proteomics approach was then utilized which incorporated two‐dimensional difference gel electrophoresis (2D‐DIGE) coupled with matrix‐assisted laser desorption ionization‐time‐of‐flight/time‐of‐flight tandem mass spectrometry, and multi‐analyte profile (MAP) assays to identify changes in expression of plasma protein biomarkers and characterize the patterns of these changes. A combined total of 134 proteins were identified with significant changes between the two platforms, with 53 coming from 2D‐DIGE, 90 from MAP, and nine proteins that were identified using both methods. The proteins were then divided into 12 major groups based on the expression patterns, and two of the most clinically relevant proteins having the greatest changes in expression were selected from each group to use as “predictor biomarkers.” A potential model for prediction of patient outcome was then generated using these 24 proteins. The patterns of biomarker expression during pediatric CPB may provide insight into the prediction, prevention, or treatment of complications resulting from CPB, thereby helping to improve the outcomes of pediatric CPB patients and reduce the incidence of complications.

  10. 10
    دورية أكاديمية

    المصدر: Progress in Transplantation ; volume 22, issue 2, page 175-182 ; ISSN 1526-9248 2164-6708

    مصطلحات موضوعية: Transplantation

    الوصف: Enhancement of renal allograft function and survival in an era where expanded criteria donors are increasingly used requires validated selection criteria. The goal of this retrospective study was to evaluate the significance of pretransplant donor and allograft parameters to identify risk factors that can be used in a model to predict 1-year allograft outcomes. Donor demographic factors, donor type, and allograft parameters such as biopsy results and machine-measured renal resistance were correlated with 1-year graft outcome. The Kaplan-Meier method was used to estimate graft survival using the categorical predictors of donor type, donor age, and machine-measured renal resistance at 1.5, 3, and 5 hours. The log-rank test was used to test the difference in survival curves between cohorts. The Cox regression analysis was used to estimate hazard ratios for machine-measured renal resistance, donor age, donor terminal creatinine level, donor's estimated glomerular filtration rate, cold ischemia time, and percent glomerulosclerosis. The data show that machine-measured renal resistance at 3 and 5 hours has a statistically significant inverse relationship to 1-year graft survival. All other risk factors had no correlation with 1-year graft survival. The machine-measured renal resistance at 3 hours is the earliest significant predictor of 1-year allograft outcome.