| Autor: |
Samir K Saha, Abdullah H Baqui, Zulfiqar A Bhutta, Sajid Soofi, Rita Isaac, Martin W Weber, Shams El Arifeen, Mohammad Shahidul Islam, Gary L Darmstadt, Tanvir Hossain, Luke C Mullany, Dipak K Mitra, Shamim A Qazi, Davidson H Hamer, Anuradha Bose, Pinaki Panigrahi, Nong Shang, Patricia Hibberd, Stephanie J Schrag, Anita K M Zaidi, Imran Nisar, Qazi Sadeq-ur Rahman, Nicholas E Connor, Kalpana Panigrahi, Radhanath Satpathy, Jonas M Winchell, Melissa L Arvay, Maureen H Diaz, Jessica L Waller, A S M Nawshad Uddin Ahmed, Maksuda Islam, Mohammad Belal Hossain |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
BMJ Global Health, Vol 7, Iss 11 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2059-7908 |
| DOI: |
10.1136/bmjgh-2022-009706 |
| Popis: |
Objective Risk factors predisposing infants to community-acquired bacterial infections during the first 2 months of life are poorly understood in South Asia. Identifying risk factors for infection could lead to improved preventive measures and antibiotic stewardship.Methods Five sites in Bangladesh, India and Pakistan enrolled mother–child pairs via population-based pregnancy surveillance by community health workers. Medical, sociodemographic and epidemiological risk factor data were collected. Young infants aged 0–59 days with signs of possible serious bacterial infection (pSBI) and age-matched controls provided blood and respiratory specimens that were analysed by blood culture and real-time PCR. These tests were used to build a Bayesian partial latent class model (PLCM) capable of attributing the probable cause of each infant’s infection in the ANISA study. The collected risk factors from all mother–child pairs were classified and analysed against the PLCM using bivariate and stepwise logistic multivariable regression modelling to determine risk factors of probable bacterial infection.Results Among 63 114 infants born, 14 655 were assessed and 6022 had signs of pSBI; of these, 81% (4859) provided blood samples for culture, 71% (4216) provided blood samples for quantitative PCR (qPCR) and 86% (5209) provided respiratory qPCR samples. Risk factors associated with bacterial-attributed infections included: low (relative risk (RR) 1.73, 95% credible interval (CrI) 1.42 to 2.11) and very low birth weight (RR 5.77, 95% CrI 3.73 to 8.94), male sex (RR 1.27, 95% CrI 1.07 to 1.52), breathing problems at birth (RR 2.50, 95% CrI 1.96 to 3.18), premature rupture of membranes (PROMs) (RR 1.27, 95% CrI 1.03 to 1.58) and being in the lowest three socioeconomic status quintiles (first RR 1.52, 95% CrI 1.07 to 2.16; second RR 1.41, 95% CrI 1.00 to 1.97; third RR 1.42, 95% CrI 1.01 to 1.99).Conclusion Distinct risk factors: birth weight, male sex, breathing problems at birth and PROM were significantly associated with the development of bacterial sepsis across South Asian community settings, supporting refined clinical discernment and targeted use of antimicrobials. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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