Tag: nevin manimala

PLoS One. 2021 Apr 1;16(4):e0249411. doi: 10.1371/journal.pone.0249411. eCollection 2021.

ABSTRACT

BACKGROUND: Preterm birth is a significant contributor of under-five and newborn deaths globally. Recent estimates indicated that, Tanzania ranks the tenth country with the highest preterm birth rates in the world, and shares 2.2% of the global proportion of all preterm births. Previous studies applied binary regression models to determine predictors of preterm birth by collapsing gestational age at birth to <37 weeks. For targeted interventions, this study aimed to determine predictors of preterm birth using multinomial regression models accounting for missing data.

METHODS: We carried out a secondary analysis of cohort data from the KCMC zonal referral hospital Medical Birth Registry for 44,117 women who gave birth to singletons between 2000-2015. KCMC is located in the Moshi Municipality, Kilimanjaro region, northern Tanzania. Data analysis was performed using Stata version 15.1. Assuming a nonmonotone pattern of missingness, data were imputed using a fully conditional specification (FCS) technique under the missing at random (MAR) assumption. Multinomial regression models with robust standard errors were used to determine predictors of moderately to late ([32,37) weeks of gestation) and very/extreme (<32 weeks of gestation) preterm birth.

RESULTS: The overall proportion of preterm births among singleton births was 11.7%. The trends of preterm birth were significantly rising between the years 2000-2015 by 22.2% (95%CI 12.2%, 32.1%, p<0.001) for moderately to late preterm and 4.6% (95%CI 2.2%, 7.0%, p = 0.001) for very/extremely preterm birth category. After imputation of missing values, higher odds of moderately to late preterm delivery were among adolescent mothers (OR = 1.23, 95%CI 1.09, 1.39), with primary education level (OR = 1.28, 95%CI 1.18, 1.39), referred for delivery (OR = 1.19, 95%CI 1.09, 1.29), with pre-eclampsia/eclampsia (OR = 1.77, 95%CI 1.54, 2.02), inadequate (<4) antenatal care (ANC) visits (OR = 2.55, 95%CI 2.37, 2.74), PROM (OR = 1.80, 95%CI 1.50, 2.17), abruption placenta (OR = 2.05, 95%CI 1.32, 3.18), placenta previa (OR = 4.35, 95%CI 2.58, 7.33), delivery through CS (OR = 1.16, 95%CI 1.08, 1.25), delivered LBW baby (OR = 8.08, 95%CI 7.46, 8.76), experienced perinatal death (OR = 2.09, 95%CI 1.83, 2.40), and delivered male children (OR = 1.11, 95%CI 1.04, 1.20). Maternal age, education level, abruption placenta, and CS delivery showed no statistically significant association with very/extremely preterm birth. The effect of (<4) ANC visits, placenta previa, LBW, and perinatal death were more pronounced on the very/extremely preterm compared to the moderately to late preterm birth. Notably, extremely higher odds of very/extreme preterm birth were among the LBW babies (OR = 38.34, 95%CI 31.87, 46.11).

CONCLUSIONS: The trends of preterm birth have increased over time in northern Tanzania. Policy decisions should intensify efforts to improve maternal and child care throughout the course of pregnancy and childbirth towards preterm birth prevention. For a positive pregnancy outcome, interventions to increase uptake and quality of ANC services should also be strengthened in Tanzania at all levels of care, where several interventions can easily be delivered to pregnant women, especially those at high-risk of experiencing adverse pregnancy outcomes.

PMID:33793638 | DOI:10.1371/journal.pone.0249411

PLoS One. 2021 Apr 1;16(4):e0249412. doi: 10.1371/journal.pone.0249412. eCollection 2021.

ABSTRACT

BACKGROUND: Anemia has severe public health significance in sub-Saharan Africa. In Ethiopia, anemia has been increasing in the last two decades, reaching the highest national level in 2016, however, the geospatial distribution and determinants of anemia in children weren’t well explored at a national level.

METHODS: We used the Ethiopian Demographic and Health Survey(EDHS) data from 2005-2016. The data consists of samples of households (HHs) obtained through a two-stage stratified sampling procedure. Our analysis included 19,699 children. Descriptive statistics, geospatial analysis, and Generalized Linear Mixed Model (GLMMs) were used.

RESULTS: The overall prevalence of anemia was 51.5%; the spatial distribution of anemia significantly different across clusters in each survey. Children from 6 to 11 months had higher odds of anemia compared to 24-59 months (Adjusted Odds ratio (AOR) = 3.4, 95%Confidence level (CI): 2.99-3.76). Children with the first and second birth order were less likely to be anemic compared to fifth and above (AOR = 0.60, 95%CI: 0.38-0.95, and AOR = 0.83, 95%C: 0.73-0.93) respectively. Mothers’ age 15 to 24 years was associated with higher odds of anemia compared to 35 to 49 years (AOR = 1.37, 95%CI: 1.20-1.55). Children from HHs with the poorest and poorer wealth category showed a higher odds of anemia compared to the richest (AOR = 1.67, 95%CI: 1.45-1.93, and AOR = 1.25, 95%CI: 1.08-1.45) respectively. Moreover, children from HHs with one to two under-five children were less likely to be anemic compared to those three and more (AOR = 0.83, 95%CI: 0.76-0.91).

CONCLUSIONS: The geospatial distribution of anemia among children varies in Ethiopia; it was highest in the East, Northeast, and Western regions of the country. Several factors were associated with anemia; therefore, interventions targeting the hotspots areas and specific determinant factors should be implemented by the concerned bodies to reduce the consequences of anemia on the generation.

PMID:33793640 | DOI:10.1371/journal.pone.0249412

PLoS One. 2021 Apr 1;16(4):e0249369. doi: 10.1371/journal.pone.0249369. eCollection 2021.

ABSTRACT

BACKGROUND: Tuberculosis (TB) is one of the major public health problems in Ethiopia. Determining treatment outcome of TB cases could help to understand the effectiveness of TB control efforts. The objective of this study was to assess TB treatment outcome and associated factors and determine the risk factors of death among TB cases who were on Directly Observed Treatment Short course (DOTS).

METHODOLOGY: We analyzed a retrospective data for TB cases who were on DOTS at Dilla Referral Hospital from July 2011- June 2016. The study population was TB cases with known HIV status and whose treatment outcome was evaluated at the Hospital. Data were entered, cleaned and analyzed using statistical package SPSS for windows, version 20.

RESULT: Out of 899 registered TB cases, 731 included in this analysis. Of these cases, 424 (58.0%) were male and 334 (45.7%) were in the age group of below 25 years. Treatment success rate of TB was 675 (92.3%) and death rate was 18 (2.5%). Treatment outcome showed statistically significant variation by HIV status (P < 0.001). HIV status of the TB cases and pretreatment weight were associated with TB treatment outcome. HIV status of the TB cases was associated with death of the TB cases (Adjusted Odds Ratio (AOR) 5.0; CI 95%: 1.8-13.5).

CONCLUSION: TB treatment success rate found in this study was high. Patient’s weight and HIV status were associated with treatment outcome. Moreover, HIV status predicted death of TB cases. Cautious treatment follow-up and defaulter tracing mechanisms for TB cases with these risk factors were suggested.

PMID:33793648 | DOI:10.1371/journal.pone.0249369

PLoS One. 2021 Apr 1;16(4):e0249071. doi: 10.1371/journal.pone.0249071. eCollection 2021.

ABSTRACT

Evidence-based STI (science, technology, and innovation) policy making requires accurate indicators of innovation in order to promote economic growth. However, traditional indicators from patents and questionnaire-based surveys often lack coverage, granularity as well as timeliness and may involve high data collection costs, especially when conducted at a large scale. Consequently, they struggle to provide policy makers and scientists with the full picture of the current state of the innovation system. In this paper, we propose a first approach on generating web-based innovation indicators which may have the potential to overcome some of the shortcomings of traditional indicators. Specifically, we develop a method to identify product innovator firms at a large scale and very low costs. We use traditional firm-level indicators from a questionnaire-based innovation survey (German Community Innovation Survey) to train an artificial neural network classification model on labelled (product innovator/no product innovator) web texts of surveyed firms. Subsequently, we apply this classification model to the web texts of hundreds of thousands of firms in Germany to predict whether they are product innovators or not. We then compare these predictions to firm-level patent statistics, survey extrapolation benchmark data, and regional innovation indicators. The results show that our approach produces reliable predictions and has the potential to be a valuable and highly cost-efficient addition to the existing set of innovation indicators, especially due to its coverage and regional granularity.

PMID:33793626 | DOI:10.1371/journal.pone.0249071

PLoS One. 2021 Apr 1;16(4):e0247912. doi: 10.1371/journal.pone.0247912. eCollection 2021.

ABSTRACT

BACKGROUND: Evaluation of patients`satisfaction towards pharmacy services is of utmost importance to ensure the quality of care. It helps in identifying domains requiring improvements to provide high quality pharmacy services to ensure the provision of enhanced pharmaceutical care. The current study aims to ascertain the extent of satisfaction towards pharmacy services among patients attending outpatient pharmacies in Kingdom of Saudi Arabia.

METHODS: A hospital-based cross-sectional study involving 746 patients attending outpatient pharmacies of various public hospitals was conducted from 01 January to 15 February 2020. Information on socio-demographic profile of the study subjects along with their satisfaction towards outpatient pharmacy was extracted by using a 23-items questionnaire. These questions were divided into two domains including 7 questions related to the pharmacy facilities (questions from 1F to 7F) and 8 questions for pharmacy services (questions from 1S to 8S), where F and S denotes facilities and services, respectively. The cumulative satisfaction score was estimated by a 5-item Likert scale with a maximum score of 5 for each item. The relationship between demographics and satisfaction scores was evaluated by using appropriate statistics.

RESULTS: There were 746 patients with male preponderance (58.8%). The overall satisfaction score was 2.97 ± 0.65. Satisfaction towards pharmacy services scored lower (mean score: 3.91 ± 0.77) than pharmacy facilities (mean score: 4.03 ± 0.66). Items related to patient`s counseling (3F, 2S, 3S, 6S) scored least during the analysis. Older patients (p = 0.006), male gender (p<0.001), Saudi nationality (0.035), patients attending primary care centers (p = 0.02), and patients with chronic illnesses were significantly associated with lower satisfaction score.

CONCLUSION: This study reported that the satisfaction level of patients attending outpatient pharmacies was low and differed among various socio-demographic groups. Approximately one-half of the patients were not satisfied with outpatient pharmacy services. These findings underscore the dire need for managerial interventions including the hiring of trained professionals, onsite training of pharmacy staff, initiation of clinical or patient centered pharmacy services, evaluation of patient`s response towards the services and appropriate controlling measures, irrespective to the type of hospitals.

PMID:33793604 | DOI:10.1371/journal.pone.0247912

PLoS One. 2021 Apr 1;16(4):e0248905. doi: 10.1371/journal.pone.0248905. eCollection 2021.

ABSTRACT

Severe ulcerative colitis (UC) is a potentially life-threatening disease with a potential colorectal cancer (CRC) risk. The aim of this study was to explore the relationship between transcriptomic and genome-wide DNA methylation profiles in a well-stratified, treatment-naïve severe UC patient population in order to define specific epigenetic changes that could be responsible for the grade of disease severity. Mucosal biopsies from treatment-naïve severe UC patients (n = 8), treatment-naïve mild UC (n = 8), and healthy controls (n = 8) underwent both whole transcriptome RNA-Seq and genome-wide DNA bisulfite- sequencing, and principal component analysis (PCA), cell deconvolutions and diverse statistical methods were applied to obtain a dataset of significantly differentially expressed genes (DEGs) with correlation to DNA methylation for severe UC. DNA hypo-methylation correlated with approximately 80% of all DEGs in severe UC when compared to mild UC. Enriched pathways of annotated hypo-methylated genes revealed neutrophil degranulation, and immuno-regulatory interactions of the lymphoid system. Specifically, hypo-methylated anti-inflammatory genes found for severe UC were IL10, SIGLEC5, CD86, CLMP and members of inflammasomes NLRP3 and NLRC4. Hypo-methylation of anti-inflammatory genes during severe UC implies an interplay between the epithelium and lamina propria in order to mitigate inflammation in the gut. The specifically DNA hypo-methylated genes found for severe UC can potentially be useful biomarkers for determining disease severity and in the development of new targeted treatment strategies for severe UC patients.

PMID:33793617 | DOI:10.1371/journal.pone.0248905

PLoS One. 2021 Apr 1;16(4):e0248576. doi: 10.1371/journal.pone.0248576. eCollection 2021.

ABSTRACT

Market participation among beef cattle farmers is key to ensuring better income, food security, and sustainable beef supply. Farmers in the traditional beef cattle sector, nevertheless, are well known for their low market participation. This study, thus, sought to examine factors that influenced market participation among beef cattle farmers in the Meatu district of Simiyu region, Tanzania. The study randomly selected a sample size of 393 farmers. The cross-sectional data collected through interviews and questionnaires were analyzed using descriptive statistics and ordinary least squares (OLS) regression models. The descriptive analyses showed that the average age of the interviewees was 53.73 years with a family size of 13.11. On average, the respondents had about 24.14 years of farming experience. Most of the respondents (67.9%) had primary education. Among the respondents, about 61.3%, 4.6%, and 32.6% had access to market information, farm credits, and veterinary services, respectively. The average cattle herd size was 53.46 heads. About 90.1% of farmers had participated in the markets by selling an average of 5 heads each, per year. This study has revealed low volume of sales, low education levels, and poor access to credits and veterinary services as the major factors that limit market participation. Furthermore, econometric results show that the key factors that significantly influenced farmers to increase the volume of beef cattle sales in the market at P < 0.05 included price, herd size, off-farm income, distance to market, age of the farmer, and cattle fattening. Moreover, membership in cooperatives, access to market information, and farming experience also had significant influence at P < 0.05. This study recommends establishment of strategic cooperatives to function not only as a communication channel for farm credits, price, market information, and training on commercial farming, but also to assist farmers in selection of profitable markets.

PMID:33793590 | DOI:10.1371/journal.pone.0248576

PLoS One. 2021 Apr 1;16(4):e0249183. doi: 10.1371/journal.pone.0249183. eCollection 2021.

ABSTRACT

Given the solid evidence that prolonged strenuous exercise is a cause of metabolic stress, this study sought to determine whether a 12-h run would affect total oxidant status (TOS), total oxidant capacity (TOC), total antioxidant status (TAS), high-sensitivity C-reactive protein (hs-CRP) and the biomarkers of intestinal permeability (protein fatty acid-binding proteins (I-FABP) and zonulin) in middle-aged male subjects. Ten amateur long-distance runners (aged 52.0 ± 6.2 years, body height 176.9 ± 4.9 cm, body mass 73.9 ± 6.0 kg) were enrolled in the study. The venous blood samples were collected 1 hour before and right after the run and were analyzed for the levels of TAS, TOS/TOC, hs-CRP, I-FABP and zonulin. The post-run concentrations of TOS/TOC were significantly elevated (p < 0.001), but TAS changes were not significant. Pearson’s correlation coefficients calculated for the post run values of TAS and TOS/TOC were statistically significant and negative (r = -0.750, p < 0.05). Significant increases in the concentrations of hs-CRP (p < 0.001), I-FABP (p < 0.05) and zonulin (p < 0.01) were noted. The results indicate that a strenuous 12-h run disturbs the prooxidant-antioxidant balance in middle-aged men, as well as promoting inflammation and impairing intestinal permeability.

PMID:33793597 | DOI:10.1371/journal.pone.0249183

PLoS One. 2021 Apr 1;16(4):e0249301. doi: 10.1371/journal.pone.0249301. eCollection 2021.

ABSTRACT

We evaluated in this cohort study the predictive ability of 23 peripheral blood parameters and ratios for treatment outcomes after the 2-month intensive phase in patients with PTB. In 63 patients out of 90 that turned culture negative, a significant decrease in white blood cell count, neutrophils, monocyte, hemoglobin, platelet, plateletcrit, erythrocyte sedimentation rate, MLR, NLR, PLR and SII values after anti-TB therapy compared to pretreatment was observed (p <0.001). Logistic regression analysis generated a model of predictors consisting of nine covariates. Spearman’s correlation analysis revealed significant positive correlations between NLR with NEU (r = 0.79, p<0.01), SII with NEU (r = 0.846, p<0.01), PLT with SII (r = 0.831, p<0.01), PLT with PCT (r = 0.71, p<0.01) and MPV with P-LCR (r = 0,897, p<0.01) in 63 patients out of 90 that turned culture negative after 2 months of treatment. ROC curve analysis indicated that all areas under the curve (AUC) revealed no statistically significant results, except lymphocyte for culture conversion. In summary, here we observed a set of hematological parameters that declined significantly as the disease was treated in patients that turned culture negative. Despite some limitations, our findings are useful for further studies aiming to identify hematological profiles that could predict the treatment outcome.

PMID:33793598 | DOI:10.1371/journal.pone.0249301

PLoS One. 2021 Apr 1;16(4):e0248245. doi: 10.1371/journal.pone.0248245. eCollection 2021.

ABSTRACT

BACKGROUND: In Sub-Saharan Africa (SSA), where malaria transmission is stable, malaria infection in pregnancy adversely affects pregnant women, fetuses, and newborns and is often asymptomatic. So far, a plethora of primary studies have been carried out on asymptomatic malaria infection in pregnant women in SSA. Nevertheless, no meta-analysis estimated the burden of asymptomatic malaria infection in pregnant women in SSA, so this meta-analysis was carried out to bridge this gap.

METHODS: PubMed, Web of Science, Scopus, Embase, and ProQuest were systematically searched for relevant studies published until 4 August 2020, and also the expansion of the search was performed by October 24, 2020. We assessed heterogeneity among included studies using I-squared statistics (I2). Publication bias was assessed by visual inspection of the funnel plot and further quantitatively validated by Egger’s and Begg’s tests. The pooled prevalence and pooled odds ratio (OR) and their corresponding 95% Confidence Interval (CI) were estimated using the random-effects model in Stata 15 software.

RESULTS: For this meta-analysis, we included 35 eligible studies. The overall prevalence estimate of asymptomatic Plasmodium infection prevalence was 26.1%% (95%CI: 21-31.2%, I2 = 99.0%). According to species-specific pooled prevalence estimate, Plasmodium falciparum was dominant species (22.1%, 95%CI: 17.1-27.2%, I2 = 98.6%), followed by Plasmodium vivax, Plasmodium malariae and Plasmodium ovale, respectively, found to be 3% (95%CI: 0-5%, I2 = 88.3%), 0.8% (95%CI: 0.3-0.13%, I2 = 60.5%), and 0.2% (95%CI: -0.01-0.5%, I2 = 31.5%). Asymptomatic malaria-infected pregnant women were 2.28 times more likely anemic (OR = 2.28, 95%CI: 1.66-3.13, I2 = 56.3%) than in non-infected pregnant women. Asymptomatic malaria infection was 1.54 times higher (OR = 1.54, 95%CI: 1.28-1.85, I2 = 11.5%) in primigravida women compared to multigravida women.

CONCLUSION: In SSA, asymptomatic malaria infection in pregnant women is prevalent, and it is associated with an increased likelihood of anemia compared to non-infected pregnant women. Thus, screening of asymptomatic pregnant women for malaria and anemia should be included as part of antenatal care.

PMID:33793584 | DOI:10.1371/journal.pone.0248245