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Profile and predictors of babies admitted to SNCUs of two tribal districts of Chhattisgarh

BACKGROUND: The neonatal period is the crucial and vulnerable period of the human life cycle. Various research has been conducted worldwide that provide the baseline data on clinical profiles and predictors of outcomes of babies admitted to sick newborn care units (SNCUs). Nonetheless, studies on tr...

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Autores principales: Vaishnav, Kritika, Galhotra, Abhiruchi, Jindal, Atul, Parhad, Priyanka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10451588/
https://www.ncbi.nlm.nih.gov/pubmed/37636189
http://dx.doi.org/10.4103/jfmpc.jfmpc_2309_22
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author Vaishnav, Kritika
Galhotra, Abhiruchi
Jindal, Atul
Parhad, Priyanka
author_facet Vaishnav, Kritika
Galhotra, Abhiruchi
Jindal, Atul
Parhad, Priyanka
author_sort Vaishnav, Kritika
collection PubMed
description BACKGROUND: The neonatal period is the crucial and vulnerable period of the human life cycle. Various research has been conducted worldwide that provide the baseline data on clinical profiles and predictors of outcomes of babies admitted to sick newborn care units (SNCUs). Nonetheless, studies on tribal areas and community outreach areas are rare. In the present study, predictors and profiles of patients admitted to SNCU, in the Dantewada and Bijapur districts of Chhattisgarh, India, were evaluated which shall help prioritize patient care and preventive approaches. METHODS: This retrospective study was undertaken from January 2019 to December 2020 in the SNCUs of Dantewada and Bijapur. Neonatal and maternal characteristics, course during labor, treatment given to the neonates, and outcome data were obtained and analysed. RESULTS: In total, 1,531 neonates were enrolled in the study. Mothers had a mean age of 25.6 years (standard deviation [SD] ±4.9) with birth spacing less than 2 years (60.3%) and antenatal care (ANC) visits less than 4 (50.4%). Neonates were low birth weight (43.75%) and were home-delivered (15.8%). One hundred forty-nine neonates died. In the multivariate regression model, extremely low birth weight babies, less than 1 kg (odds ratio [OR]: 11.59 confidence interval [CI] 4.625–31.58), gestational age less than 34 weeks (OR: 2.13 CI 1.291–3.532), central cyanosis (OR: 10.40 CI: 3.269–32.35), duration of IV fluid > 3 days (OR: 2.16 CI 0.793–0.880), duration of antibiotic >3 days (OR 0.63 CI 0.408–0.979) were found to be independent predictors of mortality among neonates. CONCLUSION: The prevalence of newborns aged less than 12 h is higher among the study population. Birth asphyxia, prematurity, neonatal jaundice, and sepsis were fundamental and leading causes of morbidity. Preterm birth and low birth weight babies had significantly high mortality. The government needs to focus on marginalized communities with target-based interventions and policies.
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spelling pubmed-104515882023-08-26 Profile and predictors of babies admitted to SNCUs of two tribal districts of Chhattisgarh Vaishnav, Kritika Galhotra, Abhiruchi Jindal, Atul Parhad, Priyanka J Family Med Prim Care Original Article BACKGROUND: The neonatal period is the crucial and vulnerable period of the human life cycle. Various research has been conducted worldwide that provide the baseline data on clinical profiles and predictors of outcomes of babies admitted to sick newborn care units (SNCUs). Nonetheless, studies on tribal areas and community outreach areas are rare. In the present study, predictors and profiles of patients admitted to SNCU, in the Dantewada and Bijapur districts of Chhattisgarh, India, were evaluated which shall help prioritize patient care and preventive approaches. METHODS: This retrospective study was undertaken from January 2019 to December 2020 in the SNCUs of Dantewada and Bijapur. Neonatal and maternal characteristics, course during labor, treatment given to the neonates, and outcome data were obtained and analysed. RESULTS: In total, 1,531 neonates were enrolled in the study. Mothers had a mean age of 25.6 years (standard deviation [SD] ±4.9) with birth spacing less than 2 years (60.3%) and antenatal care (ANC) visits less than 4 (50.4%). Neonates were low birth weight (43.75%) and were home-delivered (15.8%). One hundred forty-nine neonates died. In the multivariate regression model, extremely low birth weight babies, less than 1 kg (odds ratio [OR]: 11.59 confidence interval [CI] 4.625–31.58), gestational age less than 34 weeks (OR: 2.13 CI 1.291–3.532), central cyanosis (OR: 10.40 CI: 3.269–32.35), duration of IV fluid > 3 days (OR: 2.16 CI 0.793–0.880), duration of antibiotic >3 days (OR 0.63 CI 0.408–0.979) were found to be independent predictors of mortality among neonates. CONCLUSION: The prevalence of newborns aged less than 12 h is higher among the study population. Birth asphyxia, prematurity, neonatal jaundice, and sepsis were fundamental and leading causes of morbidity. Preterm birth and low birth weight babies had significantly high mortality. The government needs to focus on marginalized communities with target-based interventions and policies. Wolters Kluwer - Medknow 2023-06 2023-06-30 /pmc/articles/PMC10451588/ /pubmed/37636189 http://dx.doi.org/10.4103/jfmpc.jfmpc_2309_22 Text en Copyright: © 2023 Journal of Family Medicine and Primary Care https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Vaishnav, Kritika
Galhotra, Abhiruchi
Jindal, Atul
Parhad, Priyanka
Profile and predictors of babies admitted to SNCUs of two tribal districts of Chhattisgarh
title Profile and predictors of babies admitted to SNCUs of two tribal districts of Chhattisgarh
title_full Profile and predictors of babies admitted to SNCUs of two tribal districts of Chhattisgarh
title_fullStr Profile and predictors of babies admitted to SNCUs of two tribal districts of Chhattisgarh
title_full_unstemmed Profile and predictors of babies admitted to SNCUs of two tribal districts of Chhattisgarh
title_short Profile and predictors of babies admitted to SNCUs of two tribal districts of Chhattisgarh
title_sort profile and predictors of babies admitted to sncus of two tribal districts of chhattisgarh
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10451588/
https://www.ncbi.nlm.nih.gov/pubmed/37636189
http://dx.doi.org/10.4103/jfmpc.jfmpc_2309_22
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