Review of Domiciliary Newborn-care Practices in Bangladesh

In Bangladesh, high proportions of infant deaths (two-thirds) and deaths among children aged less than five years (38%) occur in the neonatal period. Although most of these deaths occur at home due to preventable causes, little is known about routine domiciliary newborn-care practices and care-seeking for neonatal illness. As an initial step in strategic planning for the implementation of interventions in Bangladesh to improve neonatal outcomes, a review of the literature of antenatal, intrapartum, and postpartum care practices for mothers and newborns in Bangladeshi communities and homes was conducted. A dearth of information was found and summarized, and priority areas for future formative research were identified. The information gained from this review was used for informing development of a guide to formative research on maternal and neonatal care practices in developing-country communities and forms a cornerstone for formulation of behaviour change-communication strategies and messages to advance neonatal health and survival in Bangladesh

Review of Domiciliary Newborn-care Practices in Bangladesh

In Bangladesh, high proportions of infant deaths (two-thirds) and deaths among children aged less than five years (38%) occur in the neonatal period. Although most of these deaths occur at home due to pre\uadventable causes, little is known about routine domiciliary newborn-care practices and care-seeking for neonatal illness. As an initial step in strategic planning for the implementation of interventions in Bangladesh to improve neonatal outcomes, a review of the literature of antenatal, intrapartum, and postpartum care practices for mothers and newborns in Bangladeshi communities and homes was conducted. A dearth of information was found and summarized, and priority areas for future formative research were identified. The information gained from this review was used for informing develop\uadment of a guide to formative research on maternal and neonatal care practices in developing-country communities and forms a cornerstone for formulation of behaviour change-communication strategies and messages to advance neonatal health and survival in Bangladesh

Multiomics Characterization of Preterm Birth in Low- and Middle-Income Countries.

Importance: Worldwide, preterm birth (PTB) is the single largest cause of deaths in the perinatal and neonatal period and is associated with increased morbidity in young children. The cause of PTB is multifactorial, and the development of generalizable biological models may enable early detection and guide therapeutic studies. Objective: To investigate the ability of transcriptomics and proteomics profiling of plasma and metabolomics analysis of urine to identify early biological measurements associated with PTB. Design, Setting, and Participants: This diagnostic/prognostic study analyzed plasma and urine samples collected from May 2014 to June 2017 from pregnant women in 5 biorepository cohorts in low- and middle-income countries (LMICs; ie, Matlab, Bangladesh; Lusaka, Zambia; Sylhet, Bangladesh; Karachi, Pakistan; and Pemba, Tanzania). These cohorts were established to study maternal and fetal outcomes and were supported by the Alliance for Maternal and Newborn Health Improvement and the Global Alliance to Prevent Prematurity and Stillbirth biorepositories. Data were analyzed from December 2018 to July 2019. Exposures: Blood and urine specimens that were collected early during pregnancy (median sampling time of 13.6 weeks of gestation, according to ultrasonography) were processed, stored, and shipped to the laboratories under uniform protocols. Plasma samples were assayed for targeted measurement of proteins and untargeted cell-free ribonucleic acid profiling; urine samples were assayed for metabolites. Main Outcomes and Measures: The PTB phenotype was defined as the delivery of a live infant before completing 37 weeks of gestation. Results: Of the 81 pregnant women included in this study, 39 had PTBs (48.1%) and 42 had term pregnancies (51.9%) (mean [SD] age of 24.8 [5.3] years). Univariate analysis demonstrated functional biological differences across the 5 cohorts. A cohort-adjusted machine learning algorithm was applied to each biological data set, and then a higher-level machine learning modeling combined the results into a final integrative model. The integrated model was more accurate, with an area under the receiver operating characteristic curve (AUROC) of 0.83 (95% CI, 0.72-0.91) compared with the models derived for each independent biological modality (transcriptomics AUROC, 0.73 [95% CI, 0.61-0.83]; metabolomics AUROC, 0.59 [95% CI, 0.47-0.72]; and proteomics AUROC, 0.75 [95% CI, 0.64-0.85]). Primary features associated with PTB included an inflammatory module as well as a metabolomic module measured in urine associated with the glutamine and glutamate metabolism and valine, leucine, and isoleucine biosynthesis pathways. Conclusions and Relevance: This study found that, in LMICs and high PTB settings, major biological adaptations during term pregnancy follow a generalizable model and the predictive accuracy for PTB was augmented by combining various omics data sets, suggesting that PTB is a condition that manifests within multiple biological systems. These data sets, with machine learning partnerships, may be a key step in developing valuable predictive tests and intervention candidates for preventing PTB

Causes and incidence of community-acquired serious infections among young children in south Asia (ANISA): an observational cohort study.

BACKGROUND: More than 500 000 neonatal deaths per year result from possible serious bacterial infections (pSBIs), but the causes are largely unknown. We investigated the incidence of community-acquired infections caused by specific organisms among neonates in south Asia. METHODS: From 2011 to 2014, we identified babies through population-based pregnancy surveillance at five sites in Bangladesh, India, and Pakistan. Babies were visited at home by community health workers up to ten times from age 0 to 59 days. Illness meeting the WHO definition of pSBI and randomly selected healthy babies were referred to study physicians. The primary objective was to estimate proportions of specific infectious causes by blood culture and Custom TaqMan Array Cards molecular assay (Thermo Fisher, Bartlesville, OK, USA) of blood and respiratory samples. FINDINGS: 6022 pSBI episodes were identified among 63 114 babies (95·4 per 1000 livebirths). Causes were attributed in 28% of episodes (16% bacterial and 12% viral). Mean incidence of bacterial infections was 13·2 (95% credible interval [CrI] 11·2-15·6) per 1000 livebirths and of viral infections was 10·1 (9·4-11·6) per 1000 livebirths. The leading pathogen was respiratory syncytial virus (5·4, 95% CrI 4·8-6·3 episodes per 1000 livebirths), followed by Ureaplasma spp (2·4, 1·6-3·2 episodes per 1000 livebirths). Among babies who died, causes were attributed to 46% of pSBI episodes, among which 92% were bacterial. 85 (83%) of 102 blood culture isolates were susceptible to penicillin, ampicillin, gentamicin, or a combination of these drugs. INTERPRETATION: Non-attribution of a cause in a high proportion of patients suggests that a substantial proportion of pSBI episodes might not have been due to infection. The predominance of bacterial causes among babies who died, however, indicates that appropriate prevention measures and management could substantially affect neonatal mortality. Susceptibility of bacterial isolates to first-line antibiotics emphasises the need for prudent and limited use of newer-generation antibiotics. Furthermore, the predominance of atypical bacteria we found and high incidence of respiratory syncytial virus indicated that changes in management strategies for treatment and prevention are needed. Given the burden of disease, prevention of respiratory syncytial virus would have a notable effect on the overall health system and achievement of Sustainable Development Goal. FUNDING: Bill & Melinda Gates Foundation

Adrenal Insufficiency - Aetiology, Diagnosis and Treatment

Adrenal insufficiency is caused by either primary adrenal failure or by hypothalamic-pituitary impairment of the corticotropic axis. Adrenal insufficiency, first codified in 1855 by Thomas Addison, remains relevant in 2014 because of its lethal nature. Though, it is a rare disease but is life threatening when overlooked. Main presenting symptoms such as fatigue, anorexia and weight loss are nonspecific, thus diagnosis is often delayed. The diagnostic work-up is well established but some pitfalls remain. The diagnosis is adequately established by the 250 μg ACTH (adrenocorticotropic hormone) stimulation test in most cases. Glucocorticoids provide life saving treatment but long-term quality of life is impaired, perhaps because therapy is not given in a physiologic way. Dehydroepiandrosterone-replacement therapy has been introduced that could help to restore quality of life. It may be useful in pubertal girls, but not in adults. Monitoring of glucocorticoid-replacement is difficult due to lack of objective methods of assessment and is therefore largely based on clinical grounds. Thus, long-term management of patients with adrenal insufficiency remains a challenge, requiring an experienced specialist

Lean body mass-based levothyroxine replacement in young athyrotic patients with differentiated carcinoma of thyroid

Objective: The objective of this study was to optimize dose of levothyroxine (LT4) based on lean body mass (LBM) in young athyrotic patients with differentiated carcinoma of thyroid (DCT) which has not been properly addressed in Bangladesh before. Materials and Methods: Sixty patients with DCT (age, range: 20-39 years) having total thyroidectomy followed by radioiodine ablative therapy (RIT) and 23 euthyroid volunteers were recruited. Clinical, biochemical parameters were obtained from all patients after 2 months of RIT and on LT4 replacement at a dose of 200 μg/day as first follow up visit and also from control subjects. Then 60 patients were divided into two groups consisting of 30 patients each. Patients of Group-I received LT4 replacement based on LBM measured by dual energy X-ray absorptiometry (DXA) and Group-II continued LT4 replacement in conventional dose. Patients of both groups were assessed again for same parameters at 6 to 12 months at the second visit. Results: Optimized dose of LT4 based on LBM by DXA (131 ±23 μg/day) significantly reduced thyroid hormones and kept thyroid stimulating hormone (TSH) in expected levels in patients of Group-I at the second visit compared to patients of Group-II who continued conventional LT4 dose (200 μg/day). Hyperthyroid symptom scale (HSS) was significantly reduced to 2 ± 1 in patients of Group-I but not in patients of Group-II, HSS, 8 ±1 ( P < 0.001). Conclusion: Optimization of LT4 dose based on LBM can avoid chronic exposure of mild excess of thyroid hormone in young patients with low risk DCT

Neck circumference as a marker of overweight and obesity and cutoff values for Bangladeshi adults

Objective: There are several methods of assessing overweight and obesity. Several studies conducted in different populations indicate that neck circumference (NC) can be used as a simple measure of overweight and obesity. This study was conducted to evaluate NC as a marker of overweight and obesity and to determine respective cutoff values for Bangladeshi male and female participants. Research Design/Materials and Methods: This cross-sectional observational study was conducted with during July 2013–June 2014 among randomly selected 871 Bangladeshi participants (male = 496 [56.9%], female = 375 [43.1%], aged >18 years) who visited Outpatient Department of United Hospital, Bangladesh Institute of Research and Rehabilitation in Diabetes, Endocrine and Metabolic disorders, primary health-care centers located in Dhaka, Savar, Gazipur. NC of participants was taken in centimeter to the nearest 1 mm, using plastic tape measure. Main outcome included NC, waist circumferences (WC), body mass index (BMI), and waist: hip ratio (WHR). Results: Pearson's correlation coefficients indicated a significant association between NC and height (men, r = 0.33; women, r = 0.28; P 90 cm in men and > 80 cm in women, respectively. NC ≥34.45 cm in male (AUC: 0.59; P= 0.001) and NC ≥31.25 cm in women (AUC: 0.66; P = 0.008) were the best cutoff value for WHR >0.9 in men and >0.8 in women, respectively. Conclusion: NC measurement is a simple, convenient, inexpensive screening measure to identify overweight and obese participants. Men with NC ≥34.75 cm and women with NC ≥31.75 cm are to be considered overweight while men with NC ≥35.25 cm and women with NC ≥34.25 cm are to be considered obese. NC ≥35.25 cm in male and NC ≥31.25 cm in women were the best cutoff value for abdominal obesity

Multiomics Characterization of Preterm Birth in Low- and Middle-Income Countries.

Importance: Worldwide, preterm birth (PTB) is the single largest cause of deaths in the perinatal and neonatal period and is associated with increased morbidity in young children. The cause of PTB is multifactorial, and the development of generalizable biological models may enable early detection and guide therapeutic studies. Objective: To investigate the ability of transcriptomics and proteomics profiling of plasma and metabolomics analysis of urine to identify early biological measurements associated with PTB. Design, Setting, and Participants: This diagnostic/prognostic study analyzed plasma and urine samples collected from May 2014 to June 2017 from pregnant women in 5 biorepository cohorts in low- and middle-income countries (LMICs; ie, Matlab, Bangladesh; Lusaka, Zambia; Sylhet, Bangladesh; Karachi, Pakistan; and Pemba, Tanzania). These cohorts were established to study maternal and fetal outcomes and were supported by the Alliance for Maternal and Newborn Health Improvement and the Global Alliance to Prevent Prematurity and Stillbirth biorepositories. Data were analyzed from December 2018 to July 2019. Exposures: Blood and urine specimens that were collected early during pregnancy (median sampling time of 13.6 weeks of gestation, according to ultrasonography) were processed, stored, and shipped to the laboratories under uniform protocols. Plasma samples were assayed for targeted measurement of proteins and untargeted cell-free ribonucleic acid profiling; urine samples were assayed for metabolites. Main Outcomes and Measures: The PTB phenotype was defined as the delivery of a live infant before completing 37 weeks of gestation. Results: Of the 81 pregnant women included in this study, 39 had PTBs (48.1%) and 42 had term pregnancies (51.9%) (mean [SD] age of 24.8 [5.3] years). Univariate analysis demonstrated functional biological differences across the 5 cohorts. A cohort-adjusted machine learning algorithm was applied to each biological data set, and then a higher-level machine learning modeling combined the results into a final integrative model. The integrated model was more accurate, with an area under the receiver operating characteristic curve (AUROC) of 0.83 (95% CI, 0.72-0.91) compared with the models derived for each independent biological modality (transcriptomics AUROC, 0.73 [95% CI, 0.61-0.83]; metabolomics AUROC, 0.59 [95% CI, 0.47-0.72]; and proteomics AUROC, 0.75 [95% CI, 0.64-0.85]). Primary features associated with PTB included an inflammatory module as well as a metabolomic module measured in urine associated with the glutamine and glutamate metabolism and valine, leucine, and isoleucine biosynthesis pathways. Conclusions and Relevance: This study found that, in LMICs and high PTB settings, major biological adaptations during term pregnancy follow a generalizable model and the predictive accuracy for PTB was augmented by combining various omics data sets, suggesting that PTB is a condition that manifests within multiple biological systems. These data sets, with machine learning partnerships, may be a key step in developing valuable predictive tests and intervention candidates for preventing PTB