ORCID Profile
0000-0002-4445-3699
Current Organisations
Uppsala University
,
University of Rajshahi
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Publisher: Oxford University Press (OUP)
Date: 19-11-2034
DOI: 10.1093/IJE/DYAB124
Publisher: Oxford University Press (OUP)
Date: 03-2009
DOI: 10.1086/596543
Abstract: Streptococcus pneumoniae infection is recognized as a global priority public health problem, and conjugate vaccines have been shown to prevent vaccine-type invasive pneumococcal disease (IPD) in children. However, better estimates of the disease burden and reliable population-based data on serotype composition are needed for vaccine development and implementation in developing countries. We initiated a population-based surveillance in the rural Bangladesh community of Mirzapur, covering a population of approximately 144,000. Village health care workers made weekly visits to approximately 12,000 children 1-59 months of age in the study area. Children with reported fever, cough, or difficulty breathing were assessed by the village health care workers using a clinical algorithm and were referred to the hospital if required. Children from the study area who were seen in the hospital underwent clinical examination and laboratory testing if they met standardized case definitions. IPD was confirmed by blood and/or cerebrospinal fluid culture results. Isolates were identified, tested for susceptibility to antibiotics, and serotyped in accordance with standard laboratory methods. We present here the results from the first 3 years of the surveillance (July 2004-June 2007). Village health care workers identified 5020 cases of possible severe pneumonia and/or very severe disease (165 cases per 1000 child-years)and 9411 cases of possible pneumonia (310 cases per 1000 child-years) as well as 2029 cases of suspected meningitis and/or very severe disease (67 cases per 1000 child-years) and 8967 cases of high fever and/or possible bacteremia (295 cases per 1000 child-years). Pneumonia was the single most common form of illness observed among 2596 hospitalizations (found in 977 [38%] of cases). We recovered 26 S. pneumoniae isolates (25 isolates from 6925 blood cultures and 1 isolate from 41 cerebrospinal fluid cultures), which gave an overall IPD incidence of 86 cases per 100,000 child-years. Invasive pneumococcal infection was common during infancy (with infants accounting for 23 of the 26 cases), and 50% of the total isolates were obtained from nonhospitalized patients who received a diagnosis of upper respiratory tract infection and fever. The most prevalent pneumococcal serotypes were serotypes 1, 5, 14, 18C, 19A, and 38. Ten of the 26 isolates were completely resistant to trimethoprim-sulfamethoxazole, and another 10 isolates had intermediate resistance. IPD contributes substantially to childhood morbidity in rural Bangladesh. S. pneumoniae can cause invasive but nonsevere disease in children, and IPD incidence can be seriously under reported if such cases are overlooked. The emerging high resistance to trimethoprim-sulfamethoxazole should be addressed. Data on serotype distribution would help to guide appropriate pneumococcal conjugate vaccine formulation.
Publisher: Public Library of Science (PLoS)
Date: 26-10-2017
Publisher: American Association for the Advancement of Science (AAAS)
Date: 24-05-2023
Abstract: Preterm birth (PTB) is the leading cause of death in children under five, yet comprehensive studies are hindered by its multiple complex etiologies. Epidemiological associations between PTB and maternal characteristics have been previously described. This work used multiomic profiling and multivariate modeling to investigate the biological signatures of these characteristics. Maternal covariates were collected during pregnancy from 13,841 pregnant women across five sites. Plasma s les from 231 participants were analyzed to generate proteomic, metabolomic, and lipidomic datasets. Machine learning models showed robust performance for the prediction of PTB (AUROC = 0.70), time-to-delivery ( r = 0.65), maternal age ( r = 0.59), gravidity ( r = 0.56), and BMI ( r = 0.81). Time-to-delivery biological correlates included fetal-associated proteins (e.g., ALPP, AFP, and PGF) and immune proteins (e.g., PD-L1, CCL28, and LIFR). Maternal age negatively correlated with collagen COL9A1, gravidity with endothelial NOS and inflammatory chemokine CXCL13, and BMI with leptin and structural protein FABP4. These results provide an integrated view of epidemiological factors associated with PTB and identify biological signatures of clinical covariates affecting this disease.
Publisher: BMJ
Date: 09-2021
DOI: 10.1136/BMJGH-2021-005856
Abstract: Selenium (Se), an essential trace mineral, has been implicated in preterm birth (PTB). We aimed to determine the association of maternal Se concentrations during pregnancy with PTB risk and gestational duration in a large number of s les collected from erse populations. Gestational duration data and maternal plasma or serum s les of 9946 singleton live births were obtained from 17 geographically erse study cohorts. Maternal Se concentrations were determined by inductively coupled plasma mass spectrometry analysis. The associations between maternal Se with PTB and gestational duration were analysed using logistic and linear regressions. The results were then combined using fixed-effect and random-effect meta-analysis. In all study s les, the Se concentrations followed a normal distribution with a mean of 93.8 ng/mL (SD: 28.5 ng/mL) but varied substantially across different sites. The fixed-effect meta-analysis across the 17 cohorts showed that Se was significantly associated with PTB and gestational duration with effect size estimates of an OR=0.95 (95% CI: 0.9 to 1.00) for PTB and 0.66 days (95% CI: 0.38 to 0.94) longer gestation per 15 ng/mL increase in Se concentration. However, there was a substantial heterogeneity among study cohorts and the random-effect meta-analysis did not achieve statistical significance. The largest effect sizes were observed in UK (Liverpool) cohort, and most significant associations were observed in s les from Malawi. While our study observed statistically significant associations between maternal Se concentration and PTB at some sites, this did not generalise across the entire cohort. Whether population-specific factors explain the heterogeneity of our findings warrants further investigation. Further evidence is needed to understand the biologic pathways, clinical efficacy and safety, before changes to antenatal nutritional recommendations for Se supplementation are considered.
Publisher: Informa UK Limited
Date: 30-11-2021
DOI: 10.1080/14767058.2021.2005573
Abstract: To address the disproportionate burden of preterm birth (PTB) in low- and middle-income countries, this study aimed to (1) verify the performance of the United States-validated spontaneous PTB (sPTB) predictor, comprised of the IBP4/SHBG protein ratio, in subjects from Bangladesh, Pakistan and Tanzania enrolled in the Alliance for Maternal and Newborn Health Improvement (AMANHI) biorepository study, and (2) discover biomarkers that improve performance of IBP4/SHBG in the AMANHI cohort. The performance of the IBP4/SHBG biomarker was first evaluated in a nested case control validation study, then utilized in a follow-on discovery study performed on the same s les. Levels of serum proteins were measured by targeted mass spectrometry. Differences between the AMANHI and U.S. cohorts were adjusted using body mass index (BMI) and gestational age (GA) at blood draw as covariates. Prediction of sPTB < 37 weeks and < 34 weeks was assessed by area under the receiver operator curve (AUC). In the discovery phase, an artificial intelligence method selected additional protein biomarkers complementary to IBP4/SHBG in the AMANHI cohort. The IBP4/SHBG biomarker significantly predicted sPTB < 37 weeks ( A protein biomarker pair developed in the U.S. may have broader application in erse non-U.S. populations.
Publisher: International Global Health Society
Date: 11-2017
Publisher: Public Library of Science (PLoS)
Date: 07-02-2022
DOI: 10.1371/JOURNAL.PONE.0263091
Abstract: Women experience high rates of depression, particularly during pregnancy and the postpartum periods. Using population-based data from Bangladesh and Pakistan, we estimated the burden of antenatal depression, its risk factors, and its effect on preterm birth. The study uses the following data: maternal depression measured between 24 and 28 weeks of gestation using the 9–question Patient Health Questionnaire (PHQ-9) data on pregnancy including an ultrasound before 19 weeks of gestation data on pregnancy outcomes and data on woman’s age, education, parity, weight, height, history of previous illness, prior miscarriage, stillbirth, husband’s education, and household socioeconomic data collected during early pregnancy. Using PHQ-9 cutoff score of ≥12, women were categorized into none to mild depression or moderate to moderately severe depression. Using ultrasound data, preterm birth was defined as babies born weeks of gestation. To identify risk ratios (RR) for antenatal depression, unadjusted and adjusted RR and 95% confidence intervals (CI) were calculated using log- binomial model. Log-binomial models were also used for determining the effect of antenatal depression on preterm birth adjusting for potential confounders. Data were analyzed using Stata version 16 (StataCorp LP). About 6% of the women reported moderate to moderately severe depressive symptoms during the antenatal period. A parity of ≥2 and the highest household wealth status were associated with an increased risk of depression. The overall incidence of preterm birth was 13.4%. Maternal antenatal depression was significantly associated with the risk of preterm birth (ARR, 95% CI: 1.34, 1.02–1.74). The increased risk of preterm birth in women with antenatal depression in conjunction with other significant risk factors suggests that depression likely occurs within a constellation of other risk factors. Thus, to effectively address the burden of preterm birth, programs require developing and providing integrated care addressing multiple risk factors.
Location: No location found
Location: Bangladesh
Location: Bangladesh
No related grants have been discovered for Sayedur Rahman.