IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0336233.html
   My bibliography  Save this article

Predicting in-hospital mortality in children in low- and middle-income countries: A systematic review and meta-analysis of vital signs and anthropometric measurements

Author

Listed:
  • Lisanne C A Smits
  • Myrthe Datema
  • Wieger P Voskuijl
  • Moses M Ngari
  • Mercy Kumwenda
  • Job C J Calis

Abstract

Background: In low- and middle-income countries (LMICs), child mortality rates remain substantially higher compared to high-income countries, with many deaths preventable through early recognition of deterioration. This systematic review and meta-analysis investigated predictive values of vital signs and anthropometric measurements for paediatric in-hospital mortality in LMICs. Methods: A search of publicly available data in PubMed and OVID Embase was conducted in November 2021 and last updated in March 2025. Studies that reported on oxygen saturation; respiratory rate; heart rate; blood pressure; temperature; mid-upper arm circumference (MUAC); and/or weight-for-height z-score (WHZ), and paediatric in-hospital mortality were included. Neonatal and paediatric intensive care unit (PICU) studies were excluded. Data was extracted by two independent authors. Forest plots presented odds ratios (OR) using random effect models. Newcastle Ottawa Scale assessed risk of bias. Findings: 104 out of 21,494 yielded studies were included in descriptive analysis and 75 in meta-analysis, encompassing 255,546 children. Associations with in-hospital mortality were observed in hypoxaemia (OR 5.53, 95% CI 4.18–7.30), tachypnoea (OR 1.65, 95% CI 1.16–2.34), tachycardia (OR 1.80, 95% CI 1.22–2.66), bradycardia (OR 3.29, 95% CI 1.38–7.83), hypotension (OR 4.42, 95% CI 2.54–7.70), hyperthermia (OR 1.31, 95% CI 1.04–1.66), hypothermia (OR 3.92, 95% CI 2.76–5.58), low MUAC (OR 3.22, 95% CI 2.12–4.91), and low WHZ (OR 3.19, 95% CI 2.47–4.11). Interpretation: Several vital signs and anthropometric measurements are strongly associated with in-hospital mortality in children. Hypoxaemia demonstrated the highest odds of mortality, followed by hypotension, hypothermia, bradycardia and severe malnutrition. These findings highlight the need for early recognition and targeted interventions for children presenting with these high-risk signs, to improve outcomes in resource-limited settings and stress the need to monitor vital signs. Funding: None.

Suggested Citation

  • Lisanne C A Smits & Myrthe Datema & Wieger P Voskuijl & Moses M Ngari & Mercy Kumwenda & Job C J Calis, 2025. "Predicting in-hospital mortality in children in low- and middle-income countries: A systematic review and meta-analysis of vital signs and anthropometric measurements," PLOS ONE, Public Library of Science, vol. 20(11), pages 1-21, November.
  • Handle: RePEc:plo:pone00:0336233
    DOI: 10.1371/journal.pone.0336233
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0336233
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0336233&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0336233?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Marzia Lazzerini & Michela Sonego & Maria Chiara Pellegrin, 2015. "Hypoxaemia as a Mortality Risk Factor in Acute Lower Respiratory Infections in Children in Low and Middle-Income Countries: Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-17, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      More about this item

      Statistics

      Access and download statistics

      Corrections

      All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0336233. See general information about how to correct material in RePEc.

      If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

      If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

      For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

      Please note that corrections may take a couple of weeks to filter through the various RePEc services.

      IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.