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The Primary Care Companion For CNS... Feb 2021
Topics: Humans; Selective Serotonin Reuptake Inhibitors; Urinary Retention; Venlafaxine Hydrochloride
PubMed: 34000145
DOI: 10.4088/PCC.20l02702 -
Andrologia Jul 2021The present study assessed the effect of selenium (Se) supplementation on Venlafaxine hydrochloride (VH)-induced testicular toxicity. Mice were segregated into Group I...
The present study assessed the effect of selenium (Se) supplementation on Venlafaxine hydrochloride (VH)-induced testicular toxicity. Mice were segregated into Group I (C), Group II (0.5 ppm Se), Group III (VH at a dose 60 mg/kg b.w.) and Group IV (Se was given as per Group II, and VH was given as per Group III). After 10 weeks, sperm parameters, histology, sperm cell counts, antioxidants activities, apoptotic proteins and molecular analysis of testicular tissue were evaluated. Group III had significantly lower sperm concentration (from 2.17 ± 0.28 to 1.04 ± 0.22) and sperm motility (from 68.04 ± 5.5 to 21.47 ± 5.21), and showed an extensive vacuolisation in the germinal epithelium, abnormal basement membrane, and reduced germ cell number as compared to Group I. However, selenium supplementation in Group IV substantially increased sperm concentration (1.47 ± 0.48) and motility (33.27 ± 8.66), improved the histoarchitecture and repopulated the germ cells as observed by raised numbers of spermatogonia, spermatocytes, round spermatids and elongated spermatids contrasted to Group III. Group IV also showed a noteworthy decreased ROS, LPO levels, as well as expressions of Bax, caspase-9, and caspase-3 and increased the SOD, CAT, GPx, and GSH activities as well the expression of Bcl-2 as compared to Group III. This effect was further supported by FTIR analysis for nucleic acids. Thus, selenium supplementation showed significant protection against VH-induced testicular toxicity.
Topics: Animals; Antioxidants; Apoptosis; Humans; Male; Mice; Oxidative Stress; Selenium; Sperm Motility; Testis; Venlafaxine Hydrochloride
PubMed: 33733493
DOI: 10.1111/and.14050 -
The Journal of Mental Health Policy and... Mar 2024Consensus-guidelines for prescribing antidepressants recommend that clinicians should be vigilant to match antidepressants to patient's medical history but provide no... (Observational Study)
Observational Study
BACKGROUND
Consensus-guidelines for prescribing antidepressants recommend that clinicians should be vigilant to match antidepressants to patient's medical history but provide no specific advice on which antidepressant is best for a given medical history.
AIMS OF THE STUDY
For patients with major depression who are in psychotherapy, this study provides an empirically derived guideline for prescribing antidepressant medications that fit patients' medical history.
METHODS
This retrospective, observational, cohort study analyzed a large insurance database of 3,678,082 patients. Data was obtained from healthcare providers in the U.S. between January 1, 2001, and December 31, 2018. These patients had 10,221,145 episodes of antidepressant treatments. This study reports the remission rates for the 14 most commonly prescribed single antidepressants (amitriptyline, bupropion, citalopram, desvenlafaxine, doxepin, duloxetine, escitalopram, fluoxetine, mirtazapine, nortriptyline, paroxetine, sertraline, trazodone, and venlafaxine) and a category named "Other" (other antidepressants/combination of antidepressants). The study used robust LASSO regressions to identify factors that affected remission rate and clinicians' selection of antidepressants. The selection bias in observational data was removed through stratification. We organized the data into 16,770 subgroups, of at least 100 cases, using the combination of the largest factors that affected remission and selection bias. This paper reports on 2,467 subgroups of patients who had received psychotherapy.
RESULTS
We found large, and statistically significant, differences in remission rates within subgroups of patients. Remission rates for sertraline ranged from 4.5% to 77.86%, for fluoxetine from 2.86% to 77.78%, for venlafaxine from 5.07% to 76.44%, for bupropion from 0.5% to 64.63%, for desvenlafaxine from 1.59% to 75%, for duloxetine from 3.77% to 75%, for paroxetine from 6.48% to 68.79%, for escitalopram from 1.85% to 65%, and for citalopram from 4.67% to 76.23%. Clearly these medications are ideal for patients in some subgroups but not others. If patients are matched to the subgroups, clinicians can prescribe the medication that works best in the subgroup. Some medications (amitriptyline, doxepin, nortriptyline, and trazodone) always had remission rates below 11% and therefore were not suitable as single antidepressant therapy for any of the subgroups.
DISCUSSIONS
This study provides an opportunity for clinicians to identify an optimal antidepressant for their patients, before they engage in repeated trials of antidepressants.
IMPLICATIONS FOR HEALTH CARE PROVISION AND USE
To facilitate the matching of patients to the most effective antidepressants, this study provides access to a free, non-commercial, decision aid at http://MeAgainMeds.com.
IMPLICATIONS FOR HEALTH POLICIES
Policymakers should evaluate how study findings can be made available through fragmented electronic health records at point-of-care. Alternatively, policymakers can put in place an AI system that recommends antidepressants to patients online, at home, and encourages them to bring the recommendation to their clinicians at their next visit.
IMPLICATIONS FOR FURTHER RESEARCH
Future research could investigate (i) the effectiveness of our recommendations in changing clinical practice, (ii) increasing remission of depression symptoms, and (iii) reducing cost of care. These studies need to be prospective but pragmatic. It is unlikely random clinical trials can address the large number of factors that affect remission.
Topics: Humans; Citalopram; Fluoxetine; Paroxetine; Sertraline; Bupropion; Nortriptyline; Amitriptyline; Duloxetine Hydrochloride; Venlafaxine Hydrochloride; Desvenlafaxine Succinate; Escitalopram; Trazodone; Doxepin; Prospective Studies; Cohort Studies; Retrospective Studies; Antidepressive Agents; Psychotherapy
PubMed: 38634393
DOI: No ID Found -
Neurology India 2022Post stroke depression (PSD) is an under diagnosed morbidity of stroke and can negatively affect the prognosis of the patient. (Observational Study)
Observational Study
CONTEXT
Post stroke depression (PSD) is an under diagnosed morbidity of stroke and can negatively affect the prognosis of the patient.
AIMS
We intended to study the prevalence of PSD and the commonly used anti-depressants and their outcome in patients with PSD.
SETTINGS AND DESIGN
A prospective observational study was conducted in the patients admitted to the stroke unit of a tertiary care centre.
METHODS AND MATERIALS
Diagnosis of post stroke depression was made by the Hamilton Depression Rating Scale (HDRS) during the two-week period after stroke or in the clinic follow up. A comparison of clinical outcome and adverse events of the two anti-depressants used, i.e. venlafaxine and fluoxetine were done by a follow up of up to 6 months.
STATISTICAL ANALYSIS USED
Independent sample test was used for statistical purposes in the study.
RESULTS
Out of the 326 stroke patients admitted in the department, 73 had PSD and 60 patients out of this were assigned into the study. Forty patients were males, and the mean age of the sample population was found to be 62.13 ± 11.14. Major risk factors identified were hypertension, diabetes mellitus, and dyslipidemia. Venlafaxine showed better outcome and less adverse events compared to fluoxetine. Major adverse events observed were hyponatremia, headache, insomnia, and anxiety.
CONCLUSIONS
PSD in the early phase affects a substantial number of the stroke patients. Venlafaxine has got a better outcome and adverse event profile compared to fluoxetine in this group of patients. However, larger multicenter studies will provide more helpful data in this area.
Topics: Male; Humans; Female; Venlafaxine Hydrochloride; Fluoxetine; Depression; Cyclohexanols; Stroke
PubMed: 36537424
DOI: 10.4103/0028-3886.364069 -
The Journal of Maternal-fetal &... Dec 2023Antidepressant medications are used by increasing numbers of pregnant women. The evidence on the relationship between antidepressant use during pregnancy and the risk... (Meta-Analysis)
Meta-Analysis
OBJECTIVE
Antidepressant medications are used by increasing numbers of pregnant women. The evidence on the relationship between antidepressant use during pregnancy and the risk for gestational diabetes mellitus (GDM) is inconsistent. We perform a systematic review and meta-analysis to assess the GDM risk associated with antidepressant exposure during pregnancy.
METHODS
We systematically searched the PubMed and EMBASE databases until December 2021. We sought observational studies assessing the association between gestational antidepressant use and GDM.
RESULTS
Five observational studies were included in the analysis. Mothers exposed to antidepressants during pregnancy were at a significantly increased risk for GDM (relative risk [RR] 1.20, 95% confidence interval [CI] 1.11-1.30; < .001). However, after considering confounding by indication, we observed no significant effect of antidepressant use during pregnancy on the risk of GDM (RR 1.13, 95% CI 1-1.28; = .054; = 0%). Independent of clinical indication, subgroup analysis based on individual antidepressants suggested that the risk was increased by venlafaxine or amitriptyline use, but not by selective serotonin reuptake inhibitors.
CONCLUSIONS
The significant association between antidepressant exposure during pregnancy and GDM may be overestimated due to confounding by indication. However, the evidence remains insufficient, particularly for specific drug classes.
Topics: Pregnancy; Female; Humans; Diabetes, Gestational; Antidepressive Agents; Selective Serotonin Reuptake Inhibitors; Venlafaxine Hydrochloride; Amitriptyline
PubMed: 36599445
DOI: 10.1080/14767058.2022.2162817 -
Saudi Pharmaceutical Journal : SPJ :... Nov 2020Three factors, three levels (3) full factorial design was used to develop venlafaxine HCl fast dissolving oral films (FDOFs) to optimize the concentrations of the film...
Three factors, three levels (3) full factorial design was used to develop venlafaxine HCl fast dissolving oral films (FDOFs) to optimize the concentrations of the film forming polymer; hydroxypropyl methylcellulose HPMC (X1), superdisintegrant; sodium starch glycolate SSG, (X2) and glycerol as the film plasticizer (X3). Effects of the three factors on the disintegration time (Y1), swelling index (Y2), and dissolution efficiency at 15 min; DE%15 (Y3) of the prepared FDOFs were evaluated by using statistical models. The optimized film formula was characterized in term of x-ray powder diffraction (XRPD), differential scanning calorimetry (DSC) and morphological characteristics. Disintegration time was found to increase with the increase in HPMC (X1) concentration, and the shortest disintegration time (21.67 ± 2.08 s) was observed in case of F2 formula (lowest HPMC level and highest glycerol level in absence of SSG). The highest swelling index (3.64 ± 0.59) was observed in case of film formula F1 (medium concentrations of both HPMC and glycerol and highest SSG concentration. The results also indicated that as the concentration of HPMC increased the DE%15 decreased. SSG (X2), with highest value (72.33 ± 1.71%) was recorded for in case of F12 (using 2% HPMC, 5%SSG and 1.5% glycerol). The optimized FDOF formula derived by the statistical models suggested 2% HPMC, 5% SSG, and 1% glycerol. The data obtained from DSC and XRPD revealed no interaction between drug and FDOT excipients. In addition, XRPD studies proved that the venlafaxine HCl was homogeneously dispersed in the film matrix.
PubMed: 33250644
DOI: 10.1016/j.jsps.2020.09.001 -
Biomedical Chromatography : BMC Jan 2021Venlafaxine (VFX) is a serotonin and norepinephrine reuptake inhibitor chiral drug used in therapy as an antidepressant in the form of a racemate consisting of R- and... (Review)
Review
Venlafaxine (VFX) is a serotonin and norepinephrine reuptake inhibitor chiral drug used in therapy as an antidepressant in the form of a racemate consisting of R- and S-VFX. The two enantiomers of VFX exhibit different pharmacological activities: R-VFX inhibits both norepinephrine and serotonin synaptic reuptake, whereas S-VFX inhibits only the serotonin one. R- and S-VFX are metabolized in the liver to the respective R- and S-O-desmethylvenlafaxine (ODVFX), R- and S-N-desmethylvenlafaxine (NDVFX), and R- and S-N,O-didesmethylvenlafaxine (NODVFX). The pharmacological profile of ODVFX is close to that of VFX, whereas the other two chiral metabolites (NDVFX and NODVFX) have lower affinity for the receptor sites. The pharmacokinetics of the VFX enantiomers appear stereoselective, including the metabolism process. In the past 20 years, several studies describing the enantioselective analysis of R- and S-VFX in pharmaceutical formulations and its chiral metabolites in biological matrices were published. These methods encompass liquid chromatography coupled with UV detection, mass spectrometry, or tandem mass spectrometry, and capillary electrophoresis. This paper reviews the published methods used for the determination of the individual enantiomers of VFX and its chiral metabolites in different matrices.
Topics: Antidepressive Agents; Chromatography, Liquid; Cyclohexanols; Desvenlafaxine Succinate; Electrophoresis, Capillary; Humans; Stereoisomerism; Tandem Mass Spectrometry; Venlafaxine Hydrochloride
PubMed: 32367587
DOI: 10.1002/bmc.4874 -
Drugs Aug 2023Despite being an essential part of whole-person care, patients with cancer often experience complex and under-treated pain. Managing cancer-related pain in patients who... (Review)
Review
Despite being an essential part of whole-person care, patients with cancer often experience complex and under-treated pain. Managing cancer-related pain in patients who are also pregnant compounds the challenge for adequate pain management, as studies have largely excluded this population. Therapy for pain management should be guided by the cause and mechanism of pain. The objective of this review is to provide clinicians with an understanding of pain experienced by pregnant patients with cancer and medications that may be used to help manage cancer-related pain. Nociceptive pain results from damage to somatic or visceral tissues that may be directly caused by cancer. This type of pain can be managed in pregnant patients using acetaminophen and/or nonsteroidal antiinflammatory drugs as first-line agents. In nociceptive pain not managed by non-opioid analgesics, buprenorphine is recommended for those requiring chronic opioids to help manage their pain. Neuropathic pain that results from damage to the peripheral or central nervous system may also be directly caused by cancer, particularly chemotherapy. In pregnant patients, duloxetine and gabapentin should be considered first. Venlafaxine, pregabalin, tricyclic antidepressants, and sodium channel blockers should be avoided, if possible. Nociplastic pain is not directly caused by cancer but may be caused by ongoing peripheral nociceptive input or a condition that predates the cancer diagnosis. Duloxetine and gabapentin are reasonable agents to consider for treatment of nociceptive pain in pregnant patients. Cyclobenzaprine may also be helpful for nociplastic pain.
Topics: Humans; Pregnancy; Female; Gabapentin; Analgesics; Duloxetine Hydrochloride; Cancer Pain; Neuralgia; Analgesics, Opioid; Nociceptive Pain; Neoplasms
PubMed: 37347386
DOI: 10.1007/s40265-023-01906-4 -
Psychopharmacology Sep 2022Major depression (MD) is one of the most common psychiatric disorders worldwide. Currently, the first-line treatment for MD targets the serotonin system but these drugs,... (Review)
Review
Major depression (MD) is one of the most common psychiatric disorders worldwide. Currently, the first-line treatment for MD targets the serotonin system but these drugs, notably the selective serotonin reuptake inhibitors, usually need 4 to 6 weeks before the benefit is felt and a significant proportion of patients shows an unsatisfactory response. Numerous treatments have been developed to circumvent these issues as venlafaxine, a mixed serotonin-norepinephrine reuptake inhibitor that binds and blocks both the SERT and NET transporters. Despite this pharmacological profile, it is difficult to have a valuable insight into its ability to produce more robust efficacy than single-acting agents. In this review, we provide an in-depth characterization of the pharmacological properties of venlafaxine from in vitro data to preclinical and clinical efficacy in depressed patients and animal models of depression to propose an indirect comparison with the most common antidepressants. Preclinical studies show that the antidepressant effect of venlafaxine is often associated with an enhancement of serotonergic neurotransmission at low doses. High doses of venlafaxine, which elicit a concomitant increase in 5-HT and NE tone, is associated with changes in different forms of plasticity in discrete brain areas. In particular, the hippocampus appears to play a crucial role in venlafaxine-mediated antidepressant effects notably by regulating processes such as adult hippocampal neurogenesis or the excitatory/inhibitory balance. Overall, depending on the dose used, venlafaxine shows a high efficacy on depressive-like symptoms in relevant animal models but to the same extent as common antidepressants. However, these data are counterbalanced by a lower tolerance. In conclusion, venlafaxine appears to be one of the most effective treatments for treatment of major depression. Still, direct comparative studies are warranted to provide definitive conclusions about its superiority.
Topics: Animals; Antidepressive Agents; Cyclohexanols; Depressive Disorder, Major; Humans; Serotonin; Selective Serotonin Reuptake Inhibitors; Venlafaxine Hydrochloride
PubMed: 35947166
DOI: 10.1007/s00213-022-06203-8 -
The Science of the Total Environment Feb 2022Antidepressant (AD) drugs are widely prescribed for the treatment of psychiatric disorders, including depression and anxiety disorders. The continuous use of ADs causes... (Review)
Review
Antidepressant (AD) drugs are widely prescribed for the treatment of psychiatric disorders, including depression and anxiety disorders. The continuous use of ADs causes significant quantities of these bioactive chemicals to enter the aquatic ecosystems mainly through wastewater effluent discharge. This may result in many aquatic organisms being inadvertently affected by these drugs. Fluoxetine (FLX) and venlafaxine (VEN) are currently among the most widely detected ADs in aquatic systems. A growing body of experimental evidence demonstrates that FLX and VEN have a substantial capacity to induce neurotoxicity and cause behavioral dysfunctions in a wide range of teleost species. At the same time, these studies often report seemingly contradictory results that are confounding in nature. Hence, we clearly require comprehensive reviews that attempt to find overarching patterns and establish possible causes for these variable results. This review aims to explore the current state of knowledge regarding the neurobehavioral effects of FLX and VEN on fishes. This study also discusses the potential mechanistic linkage between the neurotoxicity of ADs and behavioral dysfunction and identifies key knowledge gaps and areas for future research.
Topics: Animals; Antidepressive Agents; Ecosystem; Fishes; Fluoxetine; Humans; Venlafaxine Hydrochloride
PubMed: 34626640
DOI: 10.1016/j.scitotenv.2021.150846