A Study of Sexual Dysfunction and Quality of Life in Female Patients on Selective Serotonin Reuptake Inhibitor (SSRI)

Context: Sexual dysfunction is one of the most common and disconcerting side effect during treatment with Selective serotonin reuptake inhibitors (SSRIs). Sexual side effects from these medications have significant impact on self esteem, quality of life and can lead to non compliance and relapse in long term treatment. Aims: To study prevalence, severity of sexual dysfunction and its possible association with quality of life in female patients on treatment with SSRI for depression and anxiety. Materials and Methods: This was an observational, cross sectional, single-centre study. Hundred consecutive female patients who were sexually active, on SSRIs for six weeks or more were recruited. Diagnosis of Major depressive disorder (MDD), Anxiety disorders and female sexual dysfunction was done by clinician administered interview as per Diagnostic and Statistical Manual of mental disorders (DSM 5). The patients were further assessed for demographic details, CSFQ-F-C, HAM-D, HAM-A and WHOQOL-BREF scales for sexual dysfunction, depression, anxiety and quality of life respectively. p value of <0.05 was considered to be statistically significant. Results: Prevalence of sexual dysfunction was 84%. Patients with sexual dysfunction scored significantly lower value in social relationships (p= 0.0002) and environment (p= 0.033) domains of quality of life. Frequency of sexual dysfunction among patients on fluoxetine was 86.20%, on escitalopram was 86.76% and on sertraline was 66.6%. Frequency of sexual dysfunction was more with higher dose of SSRIs. Conclusions: Patients on various SSRIs experienced sexual dysfunction and had poor quality of life. Frequency of sexual dysfunction was more with higher doses of SSRIs

Fizikokemijska karakterizacija čvrstih disperzijskih sustava tadalafila s poloksamerom 407

Dissolution behaviour of a poorly water-soluble drug, tadalafil, from its solid dispersion systems with poloxamer 407 has been investigated. Solid dispersion systems of tadalafil were prepared with poloxamer 407 in 1:0.5, 1:1.5 and 1:2.5 ratios using the melting method. Characterization of binary systems with FTIR and powder XRPD studies demonstrated the presence of strong hydrogen bonding interactions, a significant decrease in crystallinity and the possibility of existence of amorphous entities of the drug. In the binary systems tested, 1:0.5 proportion of tadalafil/poloxamer 407 showed rapid dissolution of tadalafil (DE30 70.9 ± 3.6 %). In contrast, higher proportions of poloxamer 407 (1:1.5 and 1:2.5) offered no advantage towards dissolution enhancement of the drug from corresponding binary systems indicating altered rheological characteristics of the polymer, at its higher concentration, which might have retarded the release rate of tadalafil.U radu je ispitivano oslobađanje u vodi teško topljivog lijeka tadalafila iz čvrstih disperzijskih sustava. Ti sustavi pripravljeni su s poloksamerom 407 u omjeru lijeka i polimera 1:0,5, 1:1,5 i 1:2,5, koristeći metodu taljenja. Karakterizacija binarnih sustava s FTIR i rendgenskom difrakcijom praha XRD ukazuje na prisutnost snažnih vodikovih veza, značajno smanjenje kristaliničnosti i moguću prisutnost amorfnog lijeka. Iz binarnog sustava tadalafil/poloksamer 1:0,5 oslobađanje ljekovite tvari je brzo (DE30 70,9 ± 3,6 %). Nasuprot tome, iz pripravaka s višim omjerima lijeka i polimera (1:1,5 i 1:2,5) oslobađanje ljekovite tvari nije povećano. Usporavanje oslobađanja tadalafila moglo bi biti posljedicom promjene reoloških svojstava polimera pri višim koncentracijama

Author Correction: Federated learning enables big data for rare cancer boundary detection.

10.1038/s41467-023-36188-7NATURE COMMUNICATIONS14

Federated learning enables big data for rare cancer boundary detection.

Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing

SARS-CoV-2 Omicron is an immune escape variant with an altered cell entry pathway

Vaccines based on the spike protein of SARS-CoV-2 are a cornerstone of the public health response to COVID-19. The emergence of hypermutated, increasingly transmissible variants of concern (VOCs) threaten this strategy. Omicron (B.1.1.529), the fifth VOC to be described, harbours multiple amino acid mutations in spike, half of which lie within the receptor-binding domain. Here we demonstrate substantial evasion of neutralization by Omicron BA.1 and BA.2 variants in vitro using sera from individuals vaccinated with ChAdOx1, BNT162b2 and mRNA-1273. These data were mirrored by a substantial reduction in real-world vaccine effectiveness that was partially restored by booster vaccination. The Omicron variants BA.1 and BA.2 did not induce cell syncytia in vitro and favoured a TMPRSS2-independent endosomal entry pathway, these phenotypes mapping to distinct regions of the spike protein. Impaired cell fusion was determined by the receptor-binding domain, while endosomal entry mapped to the S2 domain. Such marked changes in antigenicity and replicative biology may underlie the rapid global spread and altered pathogenicity of the Omicron variant

Contact Lens Induced Corneal Ulcer Management in a Tertiary Eye Unit in Oman - A descriptive study

Objectives: The corneal disease is a priority problem in Oman. We present patients with contact lens (CL) induced severe keratitis, admitted in the corneal unit of Al Nahdha Hospital in Oman. Methods: The study was conducted in 2005-2006. Ophthalmologists examined the eyes using slit lamp bio-microscope. Visual acuity was noted using Snellen’s distance vision chart. Specimens of corneal scraping and CLs were sent for culture and sensitivity tests. Patients with severe keratitis were admitted and treated with medicines. Corneal and visual statuses were noted at the time of discharge from hospital and after six weeks. Numbers, percentages and their 95% confidence intervals were calculated. Pre- and post-treatment vision were compared using a scattergram. Results: The 52 eyes of 15 males and 37 female patients with corneal ulcers were examined. Thirty-two patients were between 20 to 30 years of age. Only 13 (25%) patients had visited an ophthalmologist within 24 hours of developing severe keratitis. Seventeen (33%) had central ulcers and six (11.5%) had ulcer ≥5 mm in size. Pseudomonas was found in 29 (55.8%) of CL and corneal material scraped from the eyes of 15 (28.8%) patients. Vision was &lt;6/60 (legally blind) in 12 (23.1%) eyes before and in five (9.6%) eyes after treatment. Twenty-six (50%) patients were lost to follow up. Conclusion: CL related severe keratitis causes visual disabilities. Prevention and proper records are essential. Treatment improves vision and hence facilities for management should be strengthened

Geographical Variability in CYP1B1 Mutations in Primary Congenital Glaucoma

Primary congenital glaucoma (PCG) is a rare type of glaucoma that is inherited in an autosomal recessive manner. PCG can lead to blindness if not detected early in children aged 3 or younger. PCG varies in presentation among various populations, where disease presentation and disease severity vary by mutation. The most common gene implicated in PCG is cytochrome p450 1B1 (CYP1B1). Here, we sought to review the literature for mutations in CYP1B1 and their presentation among different populations. Areas of interest include recent findings on disease presentation and potential implications on our understanding of PCG pathophysiology