2 datasets found
  1. f

    Data from: S1 Dataset -

    • figshare.com
    zip
    Updated Jun 11, 2024
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    Ronald Nsubuga; Joseph Rujumba; Saleh Nyende; Stevens Kisaka; Richard Idro; Jolly Nankunda (2024). S1 Dataset - [Dataset]. http://doi.org/10.1371/journal.pone.0303454.s001
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    zipAvailable download formats
    Dataset updated
    Jun 11, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Ronald Nsubuga; Joseph Rujumba; Saleh Nyende; Stevens Kisaka; Richard Idro; Jolly Nankunda
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundMost neonatal deaths occur among low birth weight infants. However, in resource-limited settings, these infants are commonly discharged early which further exposes them to mortality. Previous studies on morbidity and mortality among low birth weight infants after early discharge mainly focused on very low birth weight infants, and none described post-discharge neonatal mortality. This study aimed to determine the proportion and predictors of mortality among low birth weight neonates discharged from the Special Care Baby Unit at Mulago National Referral Hospital in Uganda.MethodsThis was a prospective cohort study of 220 low birth weight neonates discharged from the Special Care Baby Unit at Mulago National Referral Hospital. These were followed up to 28 completed days of life, or death, whichever occurred first. Proportions were used to express mortality. To determine the predictors of mortality, Cox hazards regression was performed.ResultsOf the 220 enrolled participants, 216 (98.1%) completed the follow-up. The mean gestational age of study participants was 34 ±3 weeks. The median weight at discharge was 1,650g (IQR: 1,315g -1,922g) and 46.1% were small for gestational age. During follow-up, 14/216 (6.5%) of neonates died. Mortality was highest (7/34, 20.6%) among neonates with discharge weights less than 1,200g. The causes of death included presumed neonatal sepsis (10/14, 71.4%), suspected aspiration pneumonia (2/14, 14.3%), and suspected cot death (2/14, 14.3%). The median time to death after discharge was 11 days (range 3–16 days). The predictors of mortality were a discharge weight of less than 1,200g (adj HR: 23.47, p

  2. f

    Neonatal and maternal baseline characteristics.

    • plos.figshare.com
    xls
    Updated Jun 11, 2024
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    Ronald Nsubuga; Joseph Rujumba; Saleh Nyende; Stevens Kisaka; Richard Idro; Jolly Nankunda (2024). Neonatal and maternal baseline characteristics. [Dataset]. http://doi.org/10.1371/journal.pone.0303454.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 11, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Ronald Nsubuga; Joseph Rujumba; Saleh Nyende; Stevens Kisaka; Richard Idro; Jolly Nankunda
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundMost neonatal deaths occur among low birth weight infants. However, in resource-limited settings, these infants are commonly discharged early which further exposes them to mortality. Previous studies on morbidity and mortality among low birth weight infants after early discharge mainly focused on very low birth weight infants, and none described post-discharge neonatal mortality. This study aimed to determine the proportion and predictors of mortality among low birth weight neonates discharged from the Special Care Baby Unit at Mulago National Referral Hospital in Uganda.MethodsThis was a prospective cohort study of 220 low birth weight neonates discharged from the Special Care Baby Unit at Mulago National Referral Hospital. These were followed up to 28 completed days of life, or death, whichever occurred first. Proportions were used to express mortality. To determine the predictors of mortality, Cox hazards regression was performed.ResultsOf the 220 enrolled participants, 216 (98.1%) completed the follow-up. The mean gestational age of study participants was 34 ±3 weeks. The median weight at discharge was 1,650g (IQR: 1,315g -1,922g) and 46.1% were small for gestational age. During follow-up, 14/216 (6.5%) of neonates died. Mortality was highest (7/34, 20.6%) among neonates with discharge weights less than 1,200g. The causes of death included presumed neonatal sepsis (10/14, 71.4%), suspected aspiration pneumonia (2/14, 14.3%), and suspected cot death (2/14, 14.3%). The median time to death after discharge was 11 days (range 3–16 days). The predictors of mortality were a discharge weight of less than 1,200g (adj HR: 23.47, p

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Share
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Ronald Nsubuga; Joseph Rujumba; Saleh Nyende; Stevens Kisaka; Richard Idro; Jolly Nankunda (2024). S1 Dataset - [Dataset]. http://doi.org/10.1371/journal.pone.0303454.s001

Data from: S1 Dataset -

Related Article
Explore at:
zipAvailable download formats
Dataset updated
Jun 11, 2024
Dataset provided by
PLOS ONE
Authors
Ronald Nsubuga; Joseph Rujumba; Saleh Nyende; Stevens Kisaka; Richard Idro; Jolly Nankunda
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

BackgroundMost neonatal deaths occur among low birth weight infants. However, in resource-limited settings, these infants are commonly discharged early which further exposes them to mortality. Previous studies on morbidity and mortality among low birth weight infants after early discharge mainly focused on very low birth weight infants, and none described post-discharge neonatal mortality. This study aimed to determine the proportion and predictors of mortality among low birth weight neonates discharged from the Special Care Baby Unit at Mulago National Referral Hospital in Uganda.MethodsThis was a prospective cohort study of 220 low birth weight neonates discharged from the Special Care Baby Unit at Mulago National Referral Hospital. These were followed up to 28 completed days of life, or death, whichever occurred first. Proportions were used to express mortality. To determine the predictors of mortality, Cox hazards regression was performed.ResultsOf the 220 enrolled participants, 216 (98.1%) completed the follow-up. The mean gestational age of study participants was 34 ±3 weeks. The median weight at discharge was 1,650g (IQR: 1,315g -1,922g) and 46.1% were small for gestational age. During follow-up, 14/216 (6.5%) of neonates died. Mortality was highest (7/34, 20.6%) among neonates with discharge weights less than 1,200g. The causes of death included presumed neonatal sepsis (10/14, 71.4%), suspected aspiration pneumonia (2/14, 14.3%), and suspected cot death (2/14, 14.3%). The median time to death after discharge was 11 days (range 3–16 days). The predictors of mortality were a discharge weight of less than 1,200g (adj HR: 23.47, p

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