1,090 research outputs found

    Effect of Tamoxifen and Lithium on Treatment of Acute Mania Symptoms in Children and Adolescents

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    How to Cite This Article: Fallah E, Arman A, Najafi M, Shayegh B. Effect of Tamoxifen and Lithium on Treatment of AcuteĀ Mania Symptoms in Children and Adolescents. Iran J Child Neurol. Spring 2016; 10(2):16-25.AbstractObjectiveMany studies have supported the role of protein kinase C (PKC) inhibitors in the physiopathology and treatment of bipolar disorder in adults. Tamoxifen is one of the drugs with the effect of PKC inhibition. This study aimed to determine the effect of tamoxifen on the rate of improvement mania symptoms in the sample of children and adolescents with acute mania.Materials & MethodsIn this randomized, placebo-controlled clinical trial study, registered in www.irct.ir with the code of IRCT201410126418N3, overall 44 patients with bipolar disorder with acute manic episode were randomly assigned into treatment and control groups. The serum levels of lithium and tamoxifen among the participants in the treatment groups were 0.8 -1.1 mg and 20-40 mg per day respectively. Serum level of lithium among participants in the control group was similar. The main comparisons were made based on the Young Mania Rating Scale (YMRS) and Children Depression Inventory (CDI) scores of the participants at baseline and at the end of each study week. The pharmacological side effects of serum level of lithium were examined weekly. Analysis of Covariance(ANCOVA) test was used for the statistical analysis.ResultsThere was no difference in the baseline score of YMRS and CDI in the treatment and control groups while a statistical significant difference (P < 0.05) in these scores was found between and within the groups.ConclusionThe addition of tamoxifen to lithium causes a significant difference in reducing the symptoms of mania and depression in the treatment group compared to the control group.Ā ReferencesManji HK, Lenox RH. 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Breast Cancer Res Treat 1994; 31(1): 41-52.R. Love R. Effects of tamoxifen on Bone Mineral Density in post-menopausal women with breast cancer. N Engl J Med 1992; 326: 1023-28.National Cancer Institute UNIOH, Tamoxifen: Questions and Answers, 2010; 11.Desmaria J. Interaction between tamoxifen and Antidepressants via Cytochrome P4502D6. J Clin Psychiatr 2009; 20(12):1688-1697.S. Goel S. Effect of Anti-Estrogen on MES and their interaction with Anti-epileptics in Wista- Pats. Pharmacology Online 2009; 1(3):24-30.Geller B, Craneg JL, Bolhofner K, Nickelsburg MJ, Williams M. Phenomenology and Longitudinal course of children with a prepubertal and early adolescent bipolar disorder phenotype. Bipolar disorder in childhood and early adolescence. Guilford 2003:25-50.Suppes T, Leverich GS, Keck PE, Nolen WA, Denicoff KD, Zarate CA, Singh JB, Carlsan PJ, Quiroz J, Jolkovsky L, Luckcu Baugh DA, et al. The Stanley foundation bipolar treatment outcome Network. Demographics and illness characteristics at the first 261 patients. J Affct Disord 2001; 67: 45-59.Smarty S, Find ling RL, Yildiz A, Guleryuz S, Ankerst DP, Ongur D, Renshaw PF. Psychopharmacology of pediatric bipolar disorder: A review. Psychopharmacology 2007; 191: 39-54.Del Bello MP, Findling RL. A pilot controlled trial of topiramate for mania in children and adolescents with bipolar disorder. J AM Acad Child Adolesc Psychiatry 2005; 44: 539-47.Gabrielle A, Carlson Stephanie E, Meyer C. Early onset bipolar disorder. Test book of Psychiatry, Kaplan and Sadock, 2009: 3663-3670.Sachs GS, Gardner- Schuster EE. Adjunctive treatment of acute mania: a clinical overview. Acta Psychiatry Scand Suppl 2007; (434): 27-34.Fagiolini A, Chengappa KN. Weight gain and metabolic issues of medicines used for bipolar disorder. Curr Psychiatry Rep 2007; 9(6): 521-8.Manji HK, Zarate CA. Molecular and cellular mechanisms underlying mood stabilizations for the development of improved therapeutics. 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    Influence of Pretransplant Restrictive Lung Disease on Allogeneic Hematopoietic Cell Transplantation Outcomes

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    We conducted a 15-year retrospective cohort study to determine the prevalence of restrictive lung disease prior to allogeneic hematopoietic cell transplant (HCT), and to assess whether this was a risk factor for poor outcomes. 2545 patients were eligible for the analysis. Restrictive lung disease was defined as a total lung capacity (TLC) <80% of predicted normal. Chest x-rays and /or computed tomography scans were reviewed for all restricted patients to determine whether lung parenchymal abnormalities were unlikely or highly likely to cause restriction. Multivariate Cox-proportional hazard and sensitivity analyses were performed to assess the relationship between restriction and early respiratory failure and nonrelapse mortality. Restrictive lung disease was present in 194 subjects (7.6%) prior to transplantation. Among these cases, radiographically apparent abnormalities were unlikely to be the cause of the restriction in 149 (77%) subjects. In unadjusted and adjusted analyses, the presence of pulmonary restriction was significantly associated with a 2-fold increase in risk for early respiratory failure and nonrelapse mortality, suggesting that these outcomes occurring in the absence of radiographically apparent abnormalities may be related to respiratory muscle weakness. These findings suggest that pulmonary restriction should be considered as a risk factor for poor outcomes after transplant

    Comorbidity as a prognostic variable in multiple myeloma: comparative evaluation of common comorbidity scores and use of a novel MMā€“comorbidity score

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    Comorbidities have been demonstrated to affect progression-free survival (PFS) and overall survival (OS), although their impact in multiple myeloma (MM) patients is as yet unsettled. We (1) assessed various comorbidities, (2) compared established comorbidity indices (CIs; Charlson comorbidity index (CCI), hematopoietic cell transplantation-specific comorbidity index (HCT-CI)), Kaplan Feinstein (KF) and Satariano index (SI) and (3) developed a MM-CI (Freiburger comorbidity index, FCI) in 127 MM patients. Univariate analysis determined moderate or severe pulmonary disease (hazard ratio (HR): 3.5, P<0.0001), renal impairment (via estimated glomerular filtration rate (eGFR); HR: 3.4, P=0.0018), decreased Karnofsky Performance Status (KPS, HR: 2.7, P=0.0004) and age (HR: 2, P=0.0114) as most important variables for diminished OS. Through multivariate analysis, the eGFR ā©½30ā€‰ml/min/1.73m2, impaired lung function and KPS ā©½70% were significant for decreased OS, with HRs of 2.9, 2.8 and 2.2, respectively. Combination of these risk factors within the FCI identified significantly different median OS rates of 118, 53 and 25 months with 0, 1 and 2 or 3 risk factors, respectively, (P<0.005). In light of our study, comorbidities are critical prognostic determinants for diminished PFS and OS. Moreover, comorbidity scores are important treatment decision tools and will be valuable to implement into future analyses and clinical trials in MM
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