Antimicrobial resistance among pregnant women with urinary tract infections is on rise: Findings from meta-analysis of observational studies.

Pregnant women have a higher risk of urinary tract infections (UTIs) compared to non-pregnant women, making antibiotics necessary for treatment. However, prescribing antibiotics without culture and sensitivity tests may contribute to antimicrobial resistance. A meta-analysis using R was conducted to determine the prevalence of antibiotic resistance patterns in UTIs among pregnant women. We identified observational studies published in the last 10 years and used a random effects model to calculate the pooled prevalence. The prevalence of Gram-negative organisms causing UTIs in pregnant women was 67 %, while Gram-positive organisms were 22 %. The burden of Gram-positive organisms exhibiting antimicrobial resistance was very high at 95 %, primarily to ampicillin. The most common Gram-negative organisms exhibiting antimicrobial resistance were E. coli, Klebsiella, and Pseudomonas aeruginosa, while the most common Gram-positive organisms resistant to antibiotics were Staphylococcus aureus and coagulase-negative Staphylococcus. Sensitivity and culture testing are recommended for effective treatment in pregnant women with UTIs.

COVID-19 vaccination and menstrual disorders among women: Findings from a meta-analysis study.

BACKGROUND: COVID - 19 vaccine can lead to various local and systemic side effects, including menstrual irregularities in women. There is no robust quantitative evidence of the association between the COVID - 19 vaccine and menstrual irregularities. A meta-analysis was performed to estimate the pooled prevalence of a range of menstrual disorders that may occur in women following COVID - 19 vaccination. METHODS: After searching for epidemiological studies, we systematically performed a meta-analysis on PubMed/Medline, EMBASE, and Science Direct. Sixteen studies were finally included in the study. We estimated the pooled prevalence and corresponding 95 % confidence intervals (CIs) for a group of menstrual disorders, including menorrhagia, polymenorrhea, abnormal cycle length, and oligomenorrhea. Heterogeneity was assessed using the I2 statistic and the Q test. RESULTS: Overall, the pooled prevalence of menorrhagia was 24.24 % (pooled prevalence 24.24 %; 95 % CI: 12.8-35.6 %). The pooled prevalence of polymenorrhea was 16.2 % (pooled prevalence: 16.2 %; 95 % CI: 10.7-21.6 %). The pooled prevalence of abnormal cycle length was relatively lower than that of the other disorders (pooled prevalence: 6.6 %; 95 % CI: 5.0-8.2 %). The pooled prevalence of oligomenorrhea was 22.7 % (95 % CI: 13.5-32.0 %). CONCLUSION: The findings indicate that menorrhagia, oligomenorrhea, and polymenorrhea were the most common menstrual irregularities after vaccination. The findings also suggest that a relatively high proportion of women suffer from menstrual irregularities. Further longitudinal studies are needed to confirm the causal relationship between COVID-19 vaccination and menstrual irregularities.