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Background: There has been an increase in the uptake of long-acting or permanent contraceptive methods (LAPMs) in Ethiopia. Identifying the factors associated with this change is important for designing interventions that will further accelerate the uptake. This study was done to identify components of, and factors associated with, changes in the use of LAPMs in Ethiopia. Methods: Information about 16,336 married or in-union reproductive-age women were extracted from the 2005 and 2016 Ethiopian Demographic and Health Surveys (EDHS). Normalized weighting was used to compensate for disproportionate sampling and non-response in the survey. The two data sets were merged and analyzed using multivariate decomposition analysis. Result: From 2005 to 2016, the use of LAPMs increased by 12.0 percentage points. Changes in the characteristics of women (compositional factors) were responsible for nearly 7.0% of the observed difference. Most of the change (92.0%) was attributable to differences in the effects of characteristics. Age, working status, woman's occupation, concordance on the desired number of children between women and their partners, and a visit by health workers in the 12 months before the survey were all significantly associated with the change. Conclusion: The contribution of variation in the survey population structure was not significant for the observed change. The change in the use of LAPMs was mainly due to behavioral changes among older, educated and working women, and women visited by health workers. [ABSTRACT FROM AUTHOR]

Purpose: An important challenge for deep learning models is generalizing to new datasets that may be acquired with acquisition protocols different from the training set. It is not always feasible to expand training data to the range encountered in clinical practice. We introduce a new technique, physics‐based data augmentation (PBDA), that can emulate new computed tomography (CT) data acquisition protocols. We demonstrate two forms of PBDA, emulating increases in slice thickness and reductions of dose, on the specific problem of false‐positive reduction in the automatic detection of lung nodules. Methods: We worked with CT images from the lung image database consortium (LIDC) collection. We employed a hybrid ensemble convolutional neural network (CNN), which consists of multiple CNN modules (VGG, DenseNet, ResNet), for a classification task of determining whether an image patch was a suspicious nodule or a false positive. To emulate a reduction in tube current, we injected noise by simulating forward projection, noise addition, and backprojection corresponding to 1.5 mAs (a "chest x‐ray" dose). To simulate thick slice CT scans from thin slice CT scans, we grouped and averaged spatially contiguous CT within thin slice data. The neural network was trained with 10% of the LIDC dataset that was selected to have either the highest tube current or the thinnest slices. The network was tested on the remaining data. We compared PBDA to a baseline with standard geometric augmentations (such as shifts and rotations) and Gaussian noise addition. Results: PBDA improved the performance of the networks when generalizing to the test dataset in a limited number of cases. We found that the best performance was obtained by applying augmentation at very low doses (1.5 mAs), about an order of magnitude less than most screening protocols. In the baseline augmentation, a comparable level of Gaussian noise was injected. For dose reduction PBDA, the average sensitivity of 0.931 for the hybrid ensemble network was not statistically different from the average sensitivity of 0.935 without PBDA. Similarly for slice thickness PBDA, the average sensitivity of 0.900 when augmenting with doubled simulated slice thicknesses was not statistically different from the average sensitivity of 0.895 without PBDA. While there were cases detailed in this paper in which we observed improvements, the overall picture was one that suggests PBDA may not be an effective data enrichment tool. Conclusions: PBDA is a newly proposed strategy for mitigating the performance loss of neural networks related to the variation of acquisition protocol between the training dataset and the data that is encountered in deployment or testing. We found that PBDA does not provide robust improvements with the four neural networks (three modules and the ensemble) tested and for the specific task of false‐positive reduction in nodule detection. [ABSTRACT FROM AUTHOR]

Background: Gestational weight gain (GWG) is a risk factor for adverse pregnancy outcomes, future obesity and chronic diseases among women. However, has not received much attention in many low and middle-income countries such as Nigeria. We investigated the pattern, associated factors and pregnancy outcomes of GWG in Ibadan, Nigeria, using the Ibadan Pregnancy Cohort Study (IbPCS). Methodology: The IbPCS is a multicentre prospective cohort study conducted among 1745 pregnant women recruited from four health facilities in Ibadan, Nigeria. GWG, the primary outcome, was categorised according to the Institute of Medicine's classification into insufficient, adequate and excessive weight gain. Pregnancy outcomes were the secondary outcome variables. Logistic regression analysis (Adjusted odds ratios and 95% confidence interval CI) was used to examine associations, and Poisson regression analyses were used to investigate associations with outcomes. Results: Only 16.9% of women had optimal GWG, 56.8% had excessive GWG, and 26.9% had insufficient GWG. Excessive GWG was associated with high income '> #20,000-' (AOR: 1.64, 95% CI: 1.25–2.17), being overweight (AOR: 2.12, 95% CI: 1.52–2.95) and obese (AOR: 1.47, 95% CI: 1.02–2.13) after adjusting for confounders. In contrast, increased odds of insufficient GWG have associated women with depression (AOR: 1.70, 95% CI 1.17–2.47). There was no significant association between inappropriate GWG and pregnancy outcomes However, there was an increased odds for postpartum haemorrhage (AOR: 2.44, 95% CI 1.14–5.22) among women with obesity and excessive GWG. Conclusions: Excessive GWG was the most typical form of GWG among our study participants and was associated with high maternal income, and being overweight or obese. GWG needs to be monitored during antenatal care, and interventions that promote appropriate GWG should be implemented among pregnant women in Nigeria. [ABSTRACT FROM AUTHOR]

Background: In Ethiopia limited information is available regarding the prevalence and predictors of anemia in pregnancy. This systematic review and meta-analysis estimated the pooled prevalence of anemia among pregnant women in Ethiopia and also identified its predictors. Materials and methods: The published primary studies were searched in the following electronic databases; PubMed/Medline, Google scholars, AJOL, and EMBASE. All primary studies published from 01/01/2010 to 30/05/2020 and written in English language were included without restriction on study setting and design. Critical appraisal of all available articles was done and extracted data was analyzed using STATA software version 14. The pooled prevalence of anemia was presented using a forest plot. The I2 statistical test for heterogeneity, and the Egger's and Begg's tests for publication bias were used. The relative risk was used to assess the association of predictor variables with anemia. Result: After screening 274 articles, sixty studies were included in the analysis. The pooled prevalence of anemia among pregnant women was 26.4(95% CI: 23.1, 29.6). Sub-group analysis showed higher pooled prevalence from community-based studies than institutional-based studies. Factors that were protective against maternal anemia included urban residence, formal education and smaller family size. Short birth interval and not having antenatal care (ANC) are associated with a higher risk of maternal anemia. Women with low dietary diversity [RR: 2.61(95% CI, 1.85, 3.68)], mid-upper arm circumference (MUAC) less than 23 cm [RR: 2.35(95% CI, 1.53, 3.68)] and those not taking iron-folic acid [RR: 1.53(95% CI: 1.30, 1.81)] also had a higher risk of anemia. Conclusion: Almost one in four pregnant women in Ethiopia had anemia. Being literate, living in urban areas with small family size and adequate birth spacing, as well as good dietary diversity are associated with a lower risk of anemia in pregnancy. Registration number: (ID: CRD42020211054). [ABSTRACT FROM AUTHOR]

Purpose: Dietary diversity is a key proxy indicator of nutrient adequacy; however, limited studies have been done on it among pregnant women in Ethiopia. The study aimed to examine the prevalence of sub-optimal dietary diversity and its associated factors among pregnant women in Gurage zone, South Central Ethiopia. Materials and Methods: A mixed-method approach, a longitudinal study complemented with an exploratory qualitative study, was conducted. In the longitudinal study, a consecutively included sample of 668 pregnant women was followed in three rounds of survey. Dietary diversity was assessed using the minimum dietary diversity score for women (MDD-W) tool. The average of three dietary diversity scores was used to define overall diversity. Consuming less than 5 of 10 standard food groups was considered as suboptimal dietary diversity. Multivariable logistic regression analysis was used to identify predictors of suboptimal dietary diversity. Qualitative data were analysed using the thematic analysis method. Results: During the 16 to 20, 28 to 29 and 36 to 37 weeks of gestation surveys, 75.0, 78.7 and 76.5% of the women had sub-optimal dietary diversity. In aggregate, 84.4% (95% CI: 81.6, 87.3) of the women had sub-optimal dietary diversity. Rural residents (AOR: 1.91, 95% CI: 1.01, 3.62), women with no formal education (AOR: 5.51, 95% CI: 1.96, 15.53) and from food insecure households (AOR: 2.44, 95% CI: 1.07, 5.59) had higher odds of suboptimal dietary diversity. Women with higher nutritional knowledge (AOR: 0.92, 95% CI: 0.87, 0.98) were less likely to have suboptimal dietary diversity. Food taboos, poor nutritional literacy and pregnancy complications were also reported as factors affecting dietary diversity. Conclusion: Majority of pregnant women in the area had sub-optimal dietary diversity. Improving the socio-economic status and promoting nutrition knowledge may improve women's dietary diversity. [ABSTRACT FROM AUTHOR]

Background: Low birth weight (LBW) is a major public health problem in Ethiopia. Dietary diversity is a key indicator of maternal dietary adequacy that may affect birth weight but little is known about their relationship. Hence, this study aimed to assess the association of suboptimal maternal dietary diversity during pregnancy and low birth weight in Gurage Zone, Ethiopia. Methods: The prospective study was conducted among 1062 pregnant women enrolled consecutively in between 16 to 20 gestational weeks and followed until delivery. The baseline data were collected at recruitment and dietary diversity was assessed using the minimum dietary diversity score for women (MDD-W) tool in three different rounds. The average of three scores was considered to categorize women into optimal (consumed ≥ 5 food groups) and suboptimal (consumed < 5 food groups) dietary diversity groups. The risk of low birth weight among suboptimal dietary diversity was assessed using modified Poisson regression with robust standard error. Results: Of the 1062 pregnant women recruited, 959 (90.4%) women completed follow-up. Among them, 302 (31.5%) women are having optimal and the rest, 657 (68.5%) women are having suboptimal dietary diversity. The risk of low birth weight was significantly higher among women with sub-optimal dietary diversity than among those with optimal diversity (ARR = 1.89, 95% CI: 1.25, 2.84). Other factors such as rural residence (ARR = 1.61, 95% CI: 1.43, 1.87), age > = 35 years (AAR = 3.94, 95% CI: 2.41, 6.46), being underweight (ARR = 1.81, 95% CI: 1.14, 2.86), height < 150cm (ARR = 4.65, 95% CI: 2.52, 8.59), unwanted pregnancy (ARR = 3.35, 95% CI: 2.23, 5.02), preterm delivery (3.65, 95% CI: 2.27, 5.84) and lack of nutritional counseling (ARR = 1.69, 95% CI: 1.08, 2.67) significantly increased the risk of low birth weight. Conclusion: Suboptimal dietary diversity associated low birth weight. Promoting dietary diversity by strengthening nutritional education and avoiding unwanted pregnancy particularly among rural residents may help to reduce the incidence of low birth weight. [ABSTRACT FROM AUTHOR]

Steroid hormones are one of the presumed modulators of Lactobacillus abundance in the vaginal epithelium. We set out to characterize the vaginal microbiome (VMB) and also provide an in-depth understanding of the relative contribution of estradiol (E2) and progesterone (P1) in shaping the vaginal microbiome of Nigerian women (n = 38) who experienced both uncomplicated term delivery and preterm delivery using samples longitudinally collected during pregnancy (17–21, 27–31, 36–41 weeks gestation) and 6 weeks postpartum. Vaginal swabs and blood samples were aseptically collected. Vaginal swabs were used for microbiome assessment using 16S ribosomal RNA (rRNA) gene sequencing. Blood samples were used for hormonal measurement using a competitive-based enzyme-linked immunosorbent assay (ELISA). Across several maternal covariates, maternal age, pregnancy status and delivery mode were not significantly associated with the vaginal microbiota whereas maternal E2 level (pE2 = 0.006, Omnibus), and P1 level (pP1 = 0.001, Omnibus) were significantly associated with the vaginal microbiome. E2 and P1 concentrations increased throughout pregnancy commensurately with increasing proportions of L. crispatus (pE2 = 0.036, pP1 = 0.034, Linear Mixed Model). An increasing trend of α-diversity was also observed as pregnancy progressed (pobserved ASV = 0.006, LMM). A compositional microbiome shift from Lactobacillus profile to non-Lactobacillus profile was observed in most postnatal women (pCST IV < 0.001, LMM). Analysis of our data shows a species-specific link between pregnancy steroid hormone concentration and L. crispatus abundance. [ABSTRACT FROM AUTHOR]

Background: There is a need to increase access to surgical treatments in African countries, but perioperative complications represent a major global health-care burden. There are few studies describing surgical outcomes in Africa.Methods: We did a 7-day, international, prospective, observational cohort study of patients aged 18 years and older undergoing any inpatient surgery in 25 countries in Africa (the African Surgical Outcomes Study). We aimed to recruit as many hospitals as possible using a convenience sampling survey, and required data from at least ten hospitals per country (or half the surgical centres if there were fewer than ten hospitals) and data for at least 90% of eligible patients from each site. Each country selected one recruitment week between February and May, 2016. The primary outcome was in-hospital postoperative complications, assessed according to predefined criteria and graded as mild, moderate, or severe. Data were presented as median (IQR), mean (SD), or n (%), and compared using t tests. This study is registered on the South African National Health Research Database (KZ_2015RP7_22) and ClinicalTrials.gov (NCT03044899).Findings: We recruited 11 422 patients (median 29 [IQR 10-70]) from 247 hospitals during the national cohort weeks. Hospitals served a median population of 810 000 people (IQR 200 000-2 000 000), with a combined number of specialist surgeons, obstetricians, and anaesthetists totalling 0·7 (0·2-1·9) per 100 000 population. Hospitals did a median of 212 (IQR 65-578) surgical procedures per 100 000 population each year. Patients were younger (mean age 38·5 years [SD 16·1]), with a lower risk profile (American Society of Anesthesiologists median score 1 [IQR 1-2]) than reported in high-income countries. 1253 (11%) patients were infected with HIV, 6504 procedures (57%) were urgent or emergent, and the most common procedure was caesarean delivery (3792 patients, 33%). Postoperative complications occurred in 1977 (18·2%, 95% CI 17·4-18·9]) of 10 885 patients. 239 (2·1%) of 11 193 patients died, 225 (94·1%) after the day of surgery. Infection was the most common complication (1156 [10·2%] of 10 970 patients), of whom 112 (9·7%) died.Interpretation: Despite a low-risk profile and few postoperative complications, patients in Africa were twice as likely to die after surgery when compared with the global average for postoperative deaths. Initiatives to increase access to surgical treatments in Africa therefore should be coupled with improved surveillance for deteriorating physiology in patients who develop postoperative complications, and the resources necessary to achieve this objective.Funding: Medical Research Council of South Africa. [ABSTRACT FROM AUTHOR]