Purpose Of Review: This review aims to determine the effectiveness of the use of syndrome diagnosis in the evaluation of vaginitis and to make suggestions based on the review findings.
Recent Findings: Vaginal discharge as the main symptom of vaginitis is unspecific. A randomized study of symptom-based diagnosis and treatment of vaginitis in the USA favored symptoms used for treatment; however, this was only a pilot study. Hence, a population-based study is necessary to validate these findings. Most of the study that assessed treatment of vaginitis in pregnancy reported low diagnostic sensitivity and specificity for bacterial vaginosis and vaginal candidiasis and a wide range for trichomonas vaginalis reflecting ineffectiveness of syndrome-based treatment in pregnancy. A systematic review of the web for relevant literature was made, and appropriate articles were extracted and reviewed. Sensitivity, specificity, and positive values were used, where applicable to determine effectiveness. Forty-three full articles and abstracts were reviewed. Studies that validated or applied WHO algorithm for treatment of vaginitis reported high sensitivity (91.5-100%) but moderate to low specificity (0-27.5%) among women with vaginal symptoms. Studies that focused on symptoms for diagnosis of the three main etiologic agents of vaginitis reported low sensitivity and specificity, while such studies in pregnancy reported sensitivity and specificity ranging from 35.4 to 54% for TV, 11 to 100% for BV, and 0 to 56.2% for trichomonas vaginalis, bacterial vaginosis, and vaginal candidiasis, respectively. Studies that added point of care test reported higher sensitivity and specificity and positive predictive value. The use of WHO syndrome-based algorithm or its modification for treatment of vaginitis though moderately effective has the potential for overtreatment and physician error. Point of care testing and laboratory investigation are essential for productive intervention especially in pregnancy.
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http://dx.doi.org/10.1007/s11908-017-0558-9 | DOI Listing |
J Med Internet Res
January 2025
Department of Neurosurgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Background: Delayed cerebral ischemia (DCI) is a primary contributor to death after subarachnoid hemorrhage (SAH), with significant incidence. Therefore, early determination of the risk of DCI is an urgent need. Machine learning (ML) has received much attention in clinical practice.
View Article and Find Full Text PDFGac Med Mex
January 2025
Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica, Departamento de Bioquímica Clínica, Laboratorio de Lípidos y Aterosclerosis, Ciudad Autónoma de Buenos Aires.
Introduction: LDL-cholesterol greater than 190 mg/dL indicates severe hypercholesterolemia (HS) of monogenic and/or polygenic origin. Genetic risk scores (GRS) evaluate potential polygenic causes.
Objective: we applied a GRS of 6-SNP (GRS-6) in HS individuals.
Metabolomics
January 2025
Owlstone Medical Ltd., Cambridge, UK.
Introduction: Breath Volatile organic compounds (VOCs) are promising biomarkers for clinical purposes due to their unique properties. Translation of VOC biomarkers into the clinic depends on identification and validation: a challenge requiring collaboration, well-established protocols, and cross-comparison of data. Previously, we developed a breath collection and analysis method, resulting in 148 breath-borne VOCs identified.
View Article and Find Full Text PDFJpn J Ophthalmol
January 2025
Department of Ophthalmology, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan.
Purpose: To determine whether corneal biomechanical parameters can predict ectasia progression.
Study Design: Retrospective observational study.
Methods: The baseline corneal biomechanical parameters of 64 eyes of 41 young patients (age, < 25 years at the first visit) who were diagnosed with keratoconus (KC) or suspected KC at Osaka University Hospital and followed up for more than two years were reviewed.
Mikrochim Acta
January 2025
Hebei Lansheng Bio-Tech Co, Ltd, Shijiazhuang, 052263, P. R. China.
A novel fluorescence sensing nanoplatform (CDs/AuNCs@ZIF-8) encapsulating carbon dots (CDs) and gold nanoclusters (AuNCs) within a zeolitic imidazolate framework-8 (ZIF-8) was developed for ratiometric detection of formaldehyde (FA) in the medium of hydroxylamine hydrochloride (NHOH·HCl). The nanoplatform exhibited pink fluorescence due to the aggregation-induced emission (AIE) effect of AuNCs and the internal filtration effect (IFE) between AuNCs and CDs. Upon reaction between NHOH·HCl and FA, a Schiff base formed via aldehyde-diamine condensation, releasing hydrochloric acid.
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