scholarly journals Mapping of anaemia prevalence among pregnant women in Kenya (2016–2019)

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Julius Nyerere Odhiambo ◽  
Benn Sartorius
Keyword(s):  
Pregnant Women ◽  
Negative Binomial ◽  
Optimal Allocation ◽  
Policy Implications ◽  
Reproductive Age ◽  
Maternal Outcomes ◽  
Health Coverage ◽  
Maternal Anaemia ◽  
Conditional Autoregressive ◽  
Spatio Temporal

Abstract Background Reducing the burden of anaemia is a critical global health priority that could improve maternal outcomes amongst pregnant women and their neonates. As more counties in Kenya commit to universal health coverage, there is a growing need for optimal allocation of the limited resources to sustain the gains achieved with the devolution of healthcare services. This study aimed to describe the spatio-temporal patterns of maternal anaemia prevalence in Kenya from 2016 to 2019. Methods Quarterly reported sub-county level maternal anaemia cases from January 2016 – December 2019 were obtained from the Kenyan District Health Information System. A Bayesian hierarchical negative binomial spatio-temporal conditional autoregressive (CAR) model was used to estimate maternal anaemia prevalence by sub-county and quarter. Spatial and temporal correlations were considered by assuming a conditional autoregressive and a first-order autoregressive process on sub-county and seasonal specific random effects, respectively. Results The overall estimated number of pregnant women with anaemia increased by 90.1% (95% uncertainty interval [95% UI], 89.9–90.2) from 155,539 cases in 2016 to 295,642 cases 2019. Based on the WHO classification criteria, the proportion of sub-counties with normal prevalence decreased from 28.0% (95% UI, 25.4–30.7) in 2016 to 5.4% (95% UI, 4.1–6.7) in 2019, whereas moderate anaemia prevalence increased from 16.8% (95% UI, 14.7–19.1) in 2016 to 30.1% (95% UI, 27.5–32.8) in 2019 and severe anaemia prevalence increased from 7.0% (95% UI, 5.6–8.6) in 2016 to 16.6% (95% UI, 14.5–18.9) in 2019. Overall, 45.1% (95% UI: 45.0–45.2) of the estimated cases were in malaria-endemic sub-counties, with the coastal endemic zone having the highest proportion 72.8% (95% UI: 68.3–77.4) of sub-counties with severe prevalence. Conclusion As the number of women of reproductive age continues to grow in Kenya, the use of routinely collected data for accurate mapping of poor maternal outcomes remains an integral component of a functional maternal health strategy. By unmasking the sub-county disparities often concealed by national and county estimates, our study findings reiterate the importance of maternal anaemia prevalence as a metric for estimating malaria burden and offers compelling policy implications for achieving national nutritional targets.

scholarly journals High burden of anemia among pregnant women in Tanzania: a call to address its determinants

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Bruno F. Sunguya ◽  
Yue Ge ◽  
Linda Mlunde ◽  
Rose Mpembeni ◽  
Germana Leyna ◽  
...  
Keyword(s):  
Food Insecurity ◽  
Pregnant Women ◽  
Reproductive Age ◽  
Gis Mapping ◽  
Demographic And Health Surveys ◽  
Health Coverage ◽  
Nutritional Knowledge ◽  
Women Of Reproductive Age ◽  
Anemia In Pregnancy ◽  
In Pregnancy

Abstract Background Anemia in pregnancy is behind a significant burden of maternal mortality and poor birth outcomes globally. Efforts to address it need evidence on trends and its pertinent factors as they vary from one area to another. Methods We pooled data of 23,203 women of reproductive age whose hemoglobin levels were measured from two Tanzania Demographic and Health Surveys (TDHS). Of them, 2,194 women were pregnant. Analyses employed descriptive analyses to determine the burden of anemia, its characteristics, and severity; GIS mapping to determine the regional changes of anemia between 2005 and 2015; and logistic regression to determine the remaining determinants of anemia among pregnant women using Stata 15. Results The burden of anemia among pregnant women in Tanzania has remained unprecedently high, and varies between regions. There was no significant decline of anemia in general between the two periods after adjusting for individual, households, reproductive, and child characteristics [AOR = 0.964, 95% CI = 0.774–1.202, p = 0.747). Anemia is currently prevalent in 57% of pregnant women in Tanzania. The prevalence is more likely to be higher among women aged 15–19 years than those aged between 20–34 years. It is more likely to be prevalent among those within large families, with no formal education, food insecurity, lack of health insurance, had no antimalaria during pregnancy, and had low frequency of ANC attendance. On the other hand, delivery in a health facility may be potentially protective against anemia. Conclusions Anemia in pregnancy remained persistently high and prevalent among 57% of pregnant women in Tanzania. Efforts to address anemia are crucial and need to be focused in regions with increasing burden of anemia among pregnant women. It is imperative to address important risk factors such as food insecurity, strengthening universal health coverage, empowering women of reproductive age with education and especially nutritional knowledge and advocating for early antenatal booking, attendance, and facility delivery.

scholarly journals High Burden of Anemia Among Pregnant Women in Tanzania: A Call to Address Its Determinants

2021 ◽  
Author(s):  
Bruno F. Sunguya ◽  
Yue Ge ◽  
Linda Mlunde ◽  
Rose Mpembeni ◽  
Germana Leyna ◽  
...  
Keyword(s):  
Food Insecurity ◽  
Pregnant Women ◽  
Reproductive Age ◽  
Gis Mapping ◽  
Demographic And Health Surveys ◽  
Health Coverage ◽  
Nutritional Knowledge ◽  
Women Of Reproductive Age ◽  
Anemia In Pregnancy ◽  
In Pregnancy

Abstract Background: Anemia in pregnancy is behind a significant burden of maternal mortality and poor birth outcomes globally. Efforts to address it need evidence on trends and its pertinent factors as they vary from one area to another. Methods: We analyzed data of 23,203 women of reproductive age whose hemoglobin levels were measured from two Tanzania Demographic and Health Surveys (TDHS). Of them, 2,194 women were pregnant. Analyses employed descriptive analyses to determine the burden of anemia, its characteristics, and severity; GIS mapping to determine the regional changes of anemia between 2005 and 2015; and logistic regression to determine the remaining determinants of anemia among pregnant women using Stata 15. Results: The burden of anemia among pregnant women in Tanzania has remained unprecedently high, and vary between regions. Despite such variation, there was no significant decline of anemia in general between the two periods [AOR=0.964, p=0.747). Anemia is currently prevalent in 57% of pregnant women in Tanzania. The burden is more likely to be higher among women aged 15-19 years than those aged between 20-34 years. It is more likely to be prevalent among those within large families, with no formal education, food insecurity, lack of health insurance, had no antimalaria during pregnancy, and had low frequency of ANC attendance. On the other hand, delivery in a health facility was protective against anemia.Conclusions: Anemia in pregnancy remained persistently high and prevalent among 57% of pregnant women in Tanzania. Efforts to address anemia is crucial and need to be focused in regions with increasing burden of anemia among pregnant women. It is imperative to address important risk factors such as food insecurity, strengthening universal health coverage, empowering women of reproductive age with education and especially nutritional knowledge and advocating for early antenatal booking, attendance, and facility delivery.

scholarly journals “Clinical characteristics, symptoms, management and health outcomes in 8,598 pregnant women diagnosed with COVID-19 compared to 27,510 with seasonal influenza in France, Spain and the US: a network cohort analysis”

2020 ◽  
Author(s):  
Lana Yin Hui Lai ◽  
Asieh Golozar ◽  
Anthony Sena ◽  
Andrea V. Margulis ◽  
Nuria Haro ◽  
...  
Keyword(s):  
Renal Impairment ◽  
Cesarean Section ◽  
Pregnant Women ◽  
Seasonal Influenza ◽  
The United States ◽  
Reproductive Age ◽  
Maternal Outcomes ◽  
List Type ◽  
Presenting Symptoms ◽  
In Pregnancy

ABSTRACTOBJECTIVESTo describe comorbidities, symptoms at presentation, medication use, and 30-day outcomes after a diagnosis of COVID-19 in pregnant women, in comparison to pregnant women with influenza.DESIGNMultinational network cohortSETTINGA total of 6 databases consisting of electronic medical records and claims data from France, Spain, and the United States.PARTICIPANTSPregnant women with ≥ 1 year in contributing databases, diagnosed and/or tested positive, or hospitalized with COVID-19. The influenza cohort was derived from the 2017-2018 influenza season.OUTCOMESBaseline patient characteristics, comorbidities and presenting symptoms; 30-day inpatient drug utilization, maternal complications and pregnancy-related outcomes following diagnosis/hospitalization.RESULTS8,598 women diagnosed (2,031 hospitalized) with COVID-19 were included. Hospitalized women had, compared to those diagnosed, a higher prevalence sof pre-existing comorbidities including renal impairment (2.2% diagnosed vs 5.1% hospitalized) and anemia (15.5% diagnosed vs 21.3% hospitalized).The ten most common inpatient treatments were systemic corticosteroids (29.6%), enoxaparin (24.0%), immunoglobulins (21.4%), famotidine (20.9%), azithromycin (18.1%), heparin (15.8%), ceftriaxone (7.9%), aspirin (7.0%), hydroxychloroquine (5.4%) and amoxicillin (3.5%).Compared to 27,510 women with influenza, dyspnea and anosmia were more prevalent in those with COVID-19. Women with COVID-19 had higher frequency of cesarean-section (4.4% vs 3.1%), preterm delivery (0.9% vs 0.5%), and poorer maternal outcomes: pneumonia (12.0% vs 2.7%), ARDS (4.0% vs 0.3%) and sepsis (2.1% vs 0.7%). COVID-19 fatality was negligible (N<5 in each database respectively).CONCLUSIONSComorbidities that were more prevalent with COVID-19 hospitalization (compared to COVID-19 diagnosed) in pregnancy included renal impairment and anemia. Multiple medications were used to treat pregnant women hospitalized with COVID-19, some with little evidence of benefit. Anosmia and dyspnea were indicative symptoms of COVID-19 in pregnancy compared to influenza, and may aid differential diagnosis. Despite low fatality, pregnancy and maternal outcomes were worse in COVID-19 than influenza.WHAT IS ALREADY KNOWN ON THIS TOPICCompared to non-pregnant women of reproductive age, pregnant women are less likely to experience typical COVID-19 symptoms, such as fever and myalgia.Obesity, high maternal age, and comorbid hypertension and diabetes are risk factors for severe COVID-19 among pregnant women.Despite relatively high rates of pneumonia and need for oxygen supplementation, fatality rates in pregnant women with COVID-19 are generally low (<1%).WHAT THIS STUDY ADDSAlthough not often recorded, dyspnea and anosmia were more often seen in pregnant women with COVID-19 than in women with seasonal influenza, in 6 databases from 3 countries (US, France, Spain).Renal impairment and anemia were more common among hospitalized than diagnosed women with COVID-19 during pregnancy.Despite limited data on benefit-risk in pregnancy, a large number of medications were used for inpatient management of COVID-19 in pregnant women: approximately 1 in 3 received corticosteroids (some may have been given for a pregnancy-related indication rather than for COVID-19 treatment), 1 in 4 enoxaparin, and 1 in 5 immunoglobulin, famotidine and azithromycin.Compared to influenza, there was a higher frequency of pregnancy-related complications (cesarean section and preterm deliveries), as well as poorer maternal outcomes (pneumonia, acute respiratory distress syndrome, sepsis, acute kidney injury, and cardiovascular and thromboembolic events) seen in pregnant women diagnosed with COVID-19.

Inadequate Dietary Intakes: Among Pregnant Women

2012 ◽  
Vol 73 (2) ◽  
pp. 72-77 ◽  
Author(s):  
Jennifer K. Fowler ◽  
Susan E. Evers ◽  
M. Karen Campbell
Keyword(s):  
Pregnant Women ◽  
Food Group ◽  
Reproductive Age ◽  
Dietary Intakes ◽  
Food Groups ◽  
Eating Behaviours ◽  
Prenatal Health ◽  
Canadian City ◽  
Minimum Number ◽  
Health Project

Purpose: Eating behaviours were assessed among pregnant women in a mid-sized Canadian city. Methods: As part of the Prenatal Health Project, we interviewed 2313 pregnant women in London, Ontario. Subjects also completed a food frequency questionnaire. Recruitment took place in ultrasound clinics at 10 to 22 weeks of gestation. The main outcome measures were number of daily servings for each food group, measured against the minimum number recommended by the 2007 Eating Well with Canada’s Food Guide (CFG), the proportion of women consuming the recommended number of servings for each and all of the four food groups, and factors associated with adequate consumption. We also determined the number of servings of “other foods.” Analysis included descriptive statistics and logistic regression, all at p<0.05. Results: A total of 3.5% of women consumed the recommended number of servings for all four food groups; 15.3% did not consume the minimum number of servings of foods for any of the four food groups. Women for whom this was their first pregnancy were less likely to consume the recommended number of servings from all four food groups (odds ratio=0.41; confidence interval=0.23, 0.74). Conclusions: Very few pregnant women consumed food group servings consistent with the 2007 recommendations. Strategies to improve dietary behaviours must focus on the establishment of healthy eating behaviours among women of reproductive age.

scholarly journals The Impact of Diagnostic Criteria for Gestational Diabetes Mellitus on Adverse Maternal Outcomes: A Systematic Review and Meta-Analysis

2021 ◽  
Vol 10 (4) ◽  
pp. 666
Author(s):  
Fahimeh Ramezani Tehrani ◽  
Marzieh Saei Ghare Naz ◽  
Razieh Bidhendi Yarandi ◽  
Samira Behboudi-Gandevani
Keyword(s):  
Systematic Review ◽  
Gestational Diabetes ◽  
Pregnant Women ◽  
Diagnostic Criteria ◽  
Meta Analysis ◽  
Population Based ◽  
Maternal Outcomes ◽  
Care Providers ◽  
Iadpsg Criteria ◽  
The Impact

This systematic review and meta-analysis aimed to examine the impact of different gestational-diabetes (GDM) diagnostic-criteria on the risk of adverse-maternal-outcomes. The search process encompassed PubMed (Medline), Scopus, and Web of Science databases to retrieve original, population-based studies with the universal GDM screening approach, published in English language and with a focus on adverse-maternal-outcomes up to January 2020. According to GDM diagnostic criteria, the studies were classified into seven groups. A total of 49 population-based studies consisting of 1409018 pregnant women with GDM and 7,667,546 non-GDM counterparts were selected for data analysis and knowledge synthesis. Accordingly, the risk of adverse-maternal-outcomes including primary-cesarean, induction of labor, maternal-hemorrhage, and pregnancy-related-hypertension, overall, regardless of GDM diagnostic-criteria and in all diagnostic-criteria subgroups were significantly higher than non-GDM counterparts. However, in meta-regression, the increased risk was not influenced by the GDM diagnostic-classification and the magnitude of the risks among patients, using the IADPSG criteria-classification as the most strict-criteria, was similar to other criteria. In conclusion, a reduction in the diagnostic-threshold increased the prevalence of GDM, but the risk of adverse-maternal-outcome was not different among those women who were diagnosed through more or less intensive strategies. Our review findings can empower health-care-providers to select the most cost-effective approach for the screening of GDM among pregnant women.

scholarly journals Vaginal, Cervical and Uterine pH in Women with Normal and Abnormal Vaginal Microbiota

Pathogens ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 90
Author(s):  
Malene Risager Lykke ◽  
Naja Becher ◽  
Thor Haahr ◽  
Ebbe Boedtkjer ◽  
Jørgen Skov Jensen ◽  
...  
Keyword(s):  
Pregnant Women ◽  
Genital Tract ◽  
Quantitative Polymerase Chain Reaction ◽  
Female Genital Tract ◽  
Uterine Cavity ◽  
Vaginal Microbiota ◽  
Reproductive Age ◽  
Ph Gradient ◽  
Increased Risk ◽  
Female Genital

Introduction: Healthy women of reproductive age have a vaginal pH around 4.5, whereas little is known about pH in the upper genital tract. A shift in the vaginal microbiota may result in an elevated pH in the upper genital tract. This might contribute to decreased fertility and increased risk of preterm birth. Therefore, we aimed to measure pH in different compartments of the female genital tract in both nonpregnant and pregnant women, stratifying into a normal and abnormal vaginal microbiota. Material and methods: In this descriptive study, we included 6 nonpregnant, 12 early-pregnant, and 8 term-pregnant women. A pH gradient was recorded with a flexible pH probe. An abnormal vaginal microbiota was diagnosed by a quantitative polymerase chain reaction technique for Atopobium vaginae; Sneathia sanguinegens; Leptotrichia amnionii; bacterial vaginosis-associated bacterium 1, 2, 3, and TM7; and Prevotella spp. among others. Results: In all participants we found the pH gradient in the lower reproductive canal to be most acidic in the lower vagina and most alkaline in the upper uterine cavity. Women with an abnormal vaginal microbiota had an increased pH in the lower vagina compared to the other groups. Conclusions: There is a pronounced pH gradient within the female genital tract. This gradient is not disrupted in women with an abnormal vaginal microbiota.

scholarly journals Spatio-temporal associations of air pollutant concentrations, GP respiratory consultations and respiratory inhaler prescriptions: a 5-year study of primary care in the borough of Lambeth, South London

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Mark Ashworth ◽  
◽  
Antonis Analitis ◽  
David Whitney ◽  
Evangelia Samoli ◽  
...  
Keyword(s):  
Primary Care ◽  
Negative Binomial ◽  
Hospital Admissions ◽  
Air Pollutant ◽  
Respiratory Morbidity ◽  
Short Term ◽  
Short Term Exposure ◽  
Short And Long Term ◽  
Spatio Temporal

Abstract Background Although the associations of outdoor air pollution exposure with mortality and hospital admissions are well established, few previous studies have reported on primary care clinical and prescribing data. We assessed the associations of short and long-term pollutant exposures with General Practitioner respiratory consultations and inhaler prescriptions. Methods Daily primary care data, for 2009–2013, were obtained from Lambeth DataNet (LDN), an anonymised dataset containing coded data from all patients (1.2 million) registered at general practices in Lambeth, an inner-city south London borough. Counts of respiratory consultations and inhaler prescriptions by day and Lower Super Output Area (LSOA) of residence were constructed. We developed models for predicting daily PM2.5, PM10, NO2 and O3 per LSOA. We used spatio-temporal mixed effects zero inflated negative binomial models to investigate the simultaneous short- and long-term effects of exposure to pollutants on the number of events. Results The mean concentrations of NO2, PM10, PM2.5 and O3 over the study period were 50.7, 21.2, 15.6, and 49.9 μg/m3 respectively, with all pollutants except NO2 having much larger temporal rather than spatial variability. Following short-term exposure increases to PM10, NO2 and PM2.5 the number of consultations and inhaler prescriptions were found to increase, especially for PM10 exposure in children which was associated with increases in daily respiratory consultations of 3.4% and inhaler prescriptions of 0.8%, per PM10 interquartile range (IQR) increase. Associations further increased after adjustment for weekly average exposures, rising to 6.1 and 1.2%, respectively, for weekly average PM10 exposure. In contrast, a short-term increase in O3 exposure was associated with decreased number of respiratory consultations. No association was found between long-term exposures to PM10, PM2.5 and NO2 and number of respiratory consultations. Long-term exposure to NO2 was associated with an increase (8%) in preventer inhaler prescriptions only. Conclusions We found increases in the daily number of GP respiratory consultations and inhaler prescriptions following short-term increases in exposure to NO2, PM10 and PM2.5. These associations are more pronounced in children and persist for at least a week. The association with long term exposure to NO2 and preventer inhaler prescriptions indicates likely increased chronic respiratory morbidity.

scholarly journals Improved inference for areal unit count data using graph-based optimisation

2021 ◽  
Vol 31 (4) ◽  
Author(s):  
Duncan Lee ◽  
Kitty Meeks ◽  
William Pettersson
Keyword(s):  
Random Effects ◽  
Count Data ◽  
Prior Distribution ◽  
Disease Surveillance ◽  
Sharing Rule ◽  
Markov Random ◽  
Spatial Correlation Structure ◽  
Conditional Autoregressive ◽  
Spatio Temporal ◽  
Special Case

AbstractSpatio-temporal count data relating to a set of non-overlapping areal units are prevalent in many fields, including epidemiology and social science. The spatial autocorrelation inherent in these data is typically modelled by a set of random effects that are assigned a conditional autoregressive prior distribution, which is a special case of a Gaussian Markov random field. The autocorrelation structure implied by this model depends on a binary neighbourhood matrix, where two random effects are assumed to be partially autocorrelated if their areal units share a common border, and are conditionally independent otherwise. This paper proposes a novel graph-based optimisation algorithm for estimating either a static or a temporally varying neighbourhood matrix for the data that better represents its spatial correlation structure, by viewing the areal units as the vertices of a graph and the neighbour relations as the set of edges. The improved estimation performance of our methodology compared to the commonly used border sharing rule is evidenced by simulation, before the method is applied to a new respiratory disease surveillance study in Scotland between 2011 and 2017.

scholarly journals General versus regional anaesthesia for caesarean section indicated for acute foetal distress: a retrospective cohort study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Junette Arlette Mbengono Metogo ◽  
Theophile Njamen Nana ◽  
Brian Ajong Ngongheh ◽  
Emelinda Berinyuy Nyuydzefon ◽  
Christoph Akazong Adjahoung ◽  
...  
Keyword(s):  
Cohort Study ◽  
Pregnant Women ◽  
Retrospective Cohort Study ◽  
Medical Records ◽  
Regional Anaesthesia ◽  
Retrospective Cohort ◽  
Statistical Significance ◽  
Neonatal Resuscitation ◽  
Maternal Outcomes ◽  
Foetal Distress

Abstract Background Acute foetal distress (AFD) is a life-threatening foetal condition complicating 2% of all pregnancies and accounting for 8.9% of caesarean sections (CS) especially in developing nations. Despite the severity of the problem, no evidence exists as to the safest anaesthetic technique for the mother and foetus couple undergoing CS for AFD. We aimed to compare general anaesthesia (GA) versus regional (spinal and epidural) anaesthesia in terms of their perioperative maternal and foetal outcomes. Methods We carried out a retrospective cohort study by reviewing the medical records of all women who underwent CS indicated for AFD between 2015 to 2018 at the Douala General Hospital, Cameroon. Medical records of neonates were also reviewed. We sought to investigate the association between GA, and regional anaesthesia administered during CS for AFD and foetal and maternal outcomes. The threshold of statistical significance was set at 0.05. Results We enrolled the medical records of 117 pregnant women who underwent CS indicated for AFD. Their mean age and mean gestational age were 30.5 ± 4.8 years and 40 weeks respectively. Eighty-three (70.9%), 29 (24.8%) and 05 (4.3%) pregnant women underwent CS under SA, GA and EA respectively. Neonates delivered by CS under GA were more likely to have a significantly low APGAR score at both the 1st (RR = 1.93, p = 0.014) and third-minute (RR = 2.52, p = 0.012) and to be resuscitated at birth (RR = 2.15, p = 0.015). Past CS, FHR pattern on CTG didn’t affect these results in multivariate analysis. Adverse maternal outcomes are shown to be higher following SA when compared to GA. Conclusion The study infers an association between CS performed for AFD under GA and foetal morbidity. This, however, failed to translate into a difference in perinatal mortality when comparing GA vs RA. This finding does not discount the role of GA, but we emphasize the need for specific precautions like adequate anticipation for neonatal resuscitation to reduce neonatal complications associated with CS performed for AFD under GA.

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