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1.
PLoS One ; 18(10): e0291172, 2023.
Article in English | MEDLINE | ID: mdl-37856468

ABSTRACT

BACKGROUND: Malaria and preeclampsia are leading causes of maternal morbidity and mortality in sub-Saharan Africa. They contribute significantly to poor perinatal outcomes like low neonatal weight by causing considerable placental morphological changes that impair placental function. Previous studies have described the effects of either condition on the placental structure but the structure of the placenta in malaria-preeclampsia comorbidity is largely understudied despite its high burden. This study aimed to compare the placental characteristics and neonatal weights among women with malaria-preeclampsia comorbidity versus those with healthy pregnancies. METHODOLOGY: We conducted a retrospective cohort study among 24 women with malaria-preeclampsia comorbidity and 24 women with healthy pregnancies at a County Hospital in Western Kenya. Neonatal weights, gross and histo-morphometric placental characteristics were compared among the two groups. RESULTS: There was a significant reduction in neonatal weights (P<0.001), placental weights (P = 0.028), cord length (P<0.001), and cord diameter (P<0.001) among women with malaria-preeclampsia comorbidity compared to those with healthy pregnancies. There was also a significant reduction in villous maturity (P = 0.016) and villous volume density (P = 0.012) with increased villous vascularity (P<0.007) among women with malaria-preeclampsia comorbidity compared to those with healthy pregnancies. CONCLUSION: Placental villous maturity and villous volume density are significantly reduced in patients with malaria-preeclampsia comorbidity with a compensatory increase in villous vascularity. This leads to impaired placental function that contributes to lower neonatal weights.


Subject(s)
Malaria , Pre-Eclampsia , Infant, Newborn , Pregnancy , Female , Humans , Placenta , Retrospective Studies , Malaria/complications , Malaria/epidemiology , Comorbidity
2.
Sex Transm Dis ; 50(9): 625-633, 2023 09 01.
Article in English | MEDLINE | ID: mdl-36877639

ABSTRACT

BACKGROUND: Availability of laboratory confirmation of sexually transmitted infections is increasing in low- and middle-income countries, but costs continue to limit their access. Chlamydia trachomatis (CT) is a sexually transmitted infection of significant clinical importance, particularly among women. This study aimed to develop a risk score to identify women with a higher likelihood of CT infection, who could then be prioritized for laboratory testing, in a population of Kenyan women planning pregnancies. METHODS: Women with fertility intentions were included in this cross-sectional analysis. Logistic regression was used to estimate odds ratios for the association between demographic, medical, reproductive, and behavioral characteristics and the prevalence of CT infection. A risk score was developed and validated internally based on the regression coefficients in the final multivariable model. RESULTS: The prevalence of CT was 7.4% (51 of 691). A risk score for predicting CT infection, with scores 0 to 6, was derived from participants' age, alcohol use, and presence of bacterial vaginosis. The prediction model yielded an area under the receiver operating curve of 0.78 (95% confidene interval [Cl], 0.72-0.84). A cutoff of ≤2 versus >2 identified 31.8% of women as higher risk with moderate sensitivity (70.6%; 95% Cl, 56.2-71.3) and specificity (71.3%; 95% Cl, 67.7-74.5). The bootstrap-corrected area under the receiver operating curve was 0.77 (95% Cl, 0.72-0.83). CONCLUSIONS: In similar populations of women planning pregnancies, this type of risk score could be useful for prioritizing women for laboratory testing and would capture most women with CT infections while performing more costly testing in less than half of the population.


Subject(s)
Chlamydia Infections , Chlamydia trachomatis , Sexually Transmitted Diseases , Female , Humans , Pregnancy , Chlamydia Infections/diagnosis , Chlamydia Infections/epidemiology , Cross-Sectional Studies , Kenya/epidemiology , Prevalence , Risk Factors
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