19 research outputs found

    Knowledge and prevalence of common sexually transmitted infections among patients seeking care at selected health facilities in Southern Ghana

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    The burden of Sexually transmitted infections (STIs) remains a public health problem that should be addressed considering its effect on society and close association with HIV. This study aimed to determine the knowledge and prevalence of common STIs and associated risk factors among adult patients seeking STI care in health facilities in Ho Municipality. This was an analytical cross-sectional study involving 178 adult clients seeking treatment for suspected STIs, from November 2020 to April 2021. Data on participants’ demographic characteristics, knowledge and health-seeking behaviour for STI therapy was obtained. Urine and blood samples were also taken from each participant for microbiological screening to identify the infecting pathogen and the specific STI. Multiple logistic regression and chi-square analyses were used to test the significance of associations. Of the 178 participants, 71.91% (n = 128) were women and 61.24% (n = 109) were unmarried. About 13% (n = 23) had poor knowledge of STIs. Prevalence of the STIs was 24.72% (n = 44) of which gonorrhoea was the highest 11.24% (n = 20), followed by chlamydia 10.11% (n = 18) and syphilis 7.30% (n = 13). Of all the participants, 3.37% (n = 6) had co-infections with at least 2 pathogens. Infection with all three pathogens was observed in a single participant. Participants who were married were associated with 61% reduced odds of sexually transmitted infection compared to participants who were unmarried (AOR = 0.39; Cl = 0.17–0.89). Participants who smoked had 6.5 times increased odds of the infection compared to nonsmoking participants (AOR = 6.51; Cl = 1.07–39.56). Although knowledge of STIs was high, it did not appear to contribute to lowering of the prevalence. This suggests there may be other factors other than awareness or knowledge driving STIs. There is an urgent need for further studies to ascertain the drivers of STIs beyond knowledge and awareness in the public

    Development of a local antibiogram for a teaching hospital in Ghana

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    BACKGROUND: Antimicrobial resistance threatens adequate healthcare provision against infectious diseases. Antibiograms, combined with patient clinical history, enable clinicians and pharmacists to select the best empirical treatments prior to culture results. OBJECTIVES: To develop a local antibiogram for the Ho Teaching Hospital. METHODS: This was a retrospective cross-sectional study, using data collected on bacterial isolates from January-December 2021. Samples from urine, stool, sputum, blood, and cerebrospinal fluid (CSF) were considered as well as, aspirates and swabs from wound, ears and vagina of patients. Bacteria were cultured on both enrichment and selective media including blood agar supplemented with 5% sheep blood and MacConkey agar, and identified by both the VITEK 2 system and routine biochemical tests. Data on routine culture and sensitivity tests performed on bacterial isolates from patient samples were retrieved from the hospital's health information system. Data were then entered into and analysed using WHONET. RESULTS: In all, 891 pathogenic microorganisms were isolated from 835 patients who had positive culture tests. Gram-negative isolates accounted for about 77% of the total bacterial species. Escherichia coli (246), Pseudomonas spp. (180), Klebsiella spp. (168), Citrobacter spp. (101) and Staphylococcus spp. (78) were the five most isolated pathogens. Most of the bacterial isolates showed high resistance (>70%) to ampicillin, piperacillin, ceftazidime, ceftriaxone, cefotaxime, penicillin G, amoxicillin, amoxicillin/clavulanic acid, ticarcillin/clavulanic acid and trimethoprim/sulfamethoxazole. CONCLUSIONS: The isolates from the various samples were not susceptible to most of the antibiotics used in the study. The study reveals the resistance patterns of E. coli and Klebsiella spp. to some antibiotics on the WHO 'Watch' and 'Reserve' lists. Using antibiograms as part of antimicrobial stewardship programmes would optimize antibiotic use and preserve their efficacy

    Preclinical discovery of candidate genes to guide pharmacogenetics during phase I development: the example of the novel anticancer agent ABT-751

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    ABT-751, a novel orally available antitubulin agent, is mainly eliminated as inactive glucuronide (ABT-751G) and sulfate (ABT-751S) conjugates. We performed a pharmacogenetic investigation of ABT-751 pharmacokinetics using in-vitro data to guide the selection of genes for genotyping in a phase I trial of ABT-751

    Genetic Variations and Health-Related Quality of Life (HRQOL): A Genome-Wide Study Approach

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    Health-related quality of life (HRQOL) is an important prognostic patient-reported outcome in oncology. Because prior studies suggest that HRQOL is, in part, heritable, we performed a GWAS to elucidate genetic factors associated with HRQOL in breast cancer survivors. Physical and mental HRQOL were measured via paper surveys that included the PROMIS-10 physical and mental health domain scales in 1442 breast cancer survivors participating in the Mayo Clinic Breast Disease Registry (MCBDR). In multivariable regression analyses, age and financial concerns were significantly associated with global physical health (age: p = 1.6 × 10−23; financial concerns: p = 4.8 × 10−40) and mental health (age: p = 3.5 × 10−7; financial concerns: p = 2.0 × 10−69). Chemotherapy was associated with worse global mental health (p = 0.01). In the GWAS, none of the SNPs reached the genome-wide association significance threshold of 5 × 10−8 for associations with either global physical or global mental health, however, a cluster of SNPs in SCN10A, particularly rs112718371, appeared to be linked to worse global physical health (p = 5.21 × 10−8). Additionally, SNPs in LMX1B, SGCD, PARP12 and SEMA5A were also moderately associated with worse physical and mental health (p < 10−6). These biologically plausible candidate SNPs warrant further study as possible predictors of HRQOL

    Reply to W.A. Buikhuisen et al

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