The prediction of short-term and long-term treatment response to sertraline in panic disorder

2013 ◽  
Author(s):  
P P Mersch
CNS Spectrums ◽  
1998 ◽  
Vol 3 (9) ◽  
pp. 64-71 ◽  
Author(s):  
Gary A. Christenson ◽  
Scott J. Crow ◽  
James E. Mitchell ◽  
Thomas B. Mackenzie ◽  
Ross D. Crosby ◽  
...  

AbstractThis short-term, open-label study investigates short- and long-term effects of the selective serotonin reuptake inhibitor (SSRI) fluvoxamine for the treatment of trichotillomania (TTM). Additionally, this study aimed to test the hypothesis that the presence of hair pulling compulsiveness is predictive of SSRI response. Nineteen subjects meeting the Diagnostic and Statistical Manual of Mental Disorders, Third Edition Revised, (DSM-III-R) criteria for TTM were treated with fluvoxamine at doses up to 300 mg/day. Random regression analysis of change across time for patients who completed the study (n=14) and those who dropped out (n=5) revealed statistically significant improvements in Physician Rating Scale, hair-pulling episodes, Trichotillomania Impairment Scale, and Trichotillomania Symptom Severity Scale, but not in estimated amount of hair pulled. In addition, the percentage of patients' focused or compulsive hair-pulling symptoms was predictive of treatment response. Unfortunately, all three subjects who entered long-term treatment displayed substantial movement back toward baseline by the end of 6 months. We concluded that fluvoxamine produces moderate reductions in symptoms during the short-term treatment of TTM and that the presence of focused or compulsive hair pulling may be predictive of treatment response. However, responses may be short lived when treatment is extended.


2008 ◽  
Vol 93 (7) ◽  
pp. 2828-2834 ◽  
Author(s):  
Agatha A. van der Klaauw ◽  
Tahar van der Straaten ◽  
Renee Baak-Pablo ◽  
Nienke R. Biermasz ◽  
Henk-Jan Guchelaar ◽  
...  

2020 ◽  
Author(s):  
Daniel S. Helman

Schizophrenia is a major mental illness with a disease course that is influenced by lifestyle. The risk-benefit ratio for alternative interventions is more favorable than for antipsychotics in long-term treatment. Dietary interventions may target autoimmune features, vitamin or mineral deficiencies, abnormal lipid metabolism, gluten sensitivity or others. Examples of interventions involving diet, physical activity or physical processes, or social interventions including talk therapy exist in the literature. Notwithstanding, the general utility of these types of interventions remains inconclusive, awaiting long-term randomized trials. A perspective that separates the cause of the disease from its symptoms may be helpful in treatment planning and is warranted to distinguish between short-term and long-term recovery goals.


2020 ◽  
Vol 15 (2) ◽  
pp. 110-124
Author(s):  
Joy E. Ikekpeazu ◽  
Oliver C. Orji ◽  
Ikenna K. Uchendu ◽  
Lawrence U.S. Ezeanyika

Background and Objective: There may be a possible link between the use of HAART and oxidative stress-related mitochondrial dysfunction in HIV patients. We evaluated the mitochondrial and oxidative impacts of short and long-term administration of HAART on HIV patients attending the Enugu State University Teaching (ESUT) Hospital, Enugu, Nigeria following short and long-term therapy. Methods: 96 patients categorized into four groups of 24 individuals were recruited for the study. Group 1 comprised of age-matched, apparently healthy, sero-negative individuals (the No HIV group); group 2 consisted of HIV sero-positive individuals who had not started any form of treatment (the Treatment naïve group). Individuals in group 3 were known HIV patients on HAART for less than one year (Short-term treatment group), while group 4 comprised of HIV patients on HAART for more than one year (Long-term treatment group). All patients were aged between 18 to 60 years and attended the HIV clinic at the time of the study. Determination of total antioxidant status (TAS in nmol/l), malondialdehyde (MDA in mmol/l), CD4+ count in cells/μl, and genomic studies were all done using standard operative procedures. Results: We found that the long-term treatment group had significantly raised the levels of MDA, as well as significantly diminished TAS compared to the Short-term treatment and No HIV groups (P<0.05). In addition, there was significantly elevated variation in the copy number of mitochondrial genes (mtDNA: D-loop, ATPase 8, TRNALEU uur) in the long-term treatment group. Interpretation and Conclusion: Long-term treatment with HAART increases oxidative stress and causes mitochondrial alterations in HIV patients.


2009 ◽  
Vol 24 (S1) ◽  
pp. 1-1
Author(s):  
J. Newcomer ◽  
R. Ratner ◽  
M. Åström ◽  
H. Eriksson

Background:Data pertaining to changes in weight during long-term treatment with quetiapine (QTP) have been published previously (1).Methods:Pooled data are presented from 26 short-term clinical studies (up to 12 weeks) of QTP or quetiapine extended-release (QTP XR)-as monotherapy or adjunct therapy-conducted by AstraZeneca up to November 2007. Studies were conducted in adult patients (18-65 years) across a number of psychiatric diagnoses. Variables were analyzed irrespective of fasting status with similar analyses planned in the fasting subset. LSM changes from baseline for the difference between QTP and placebo are presented.Results:Approximately 10000 patients were included in the analyses, 70% of whom were treated with QTP or QTP XR. Across the entire short-term dataset, the difference in LSM change in weight for QTP vs. placebo was 1.07 kg. Corresponding differences in glucose regulation parameters were 1.39 mg/dL for glucose and 0.04% units for HbA1C. the overall difference in total cholesterol was 5.48 mg/dL, with differences in HDL and LDL cholesterol of -0.62 mg/dL and 1.69 mg/dL. the difference in LSM change in triglycerides was 22.62 mg/dL.Discussion:Within the context of balancing potential risks against the acknowledged benefits of atypical antipsychotics, the degree and significance of variations in metabolic parameters is an area of continued interest. This analysis helps clinicians to better understand changes in important metabolic parameters across trials with QTP and QTP XR, and the size and uniqueness of the dataset permits further analyses within this important area.Supported by funding from AstraZeneca Pharmaceuticals LP.


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