Clinical hypoxemia score for outpatient child pneumonia care lacking pulse oximetry in Africa and South Asia

BackgroundPulse oximeters are not routinely available in outpatient clinics in low- and middle-income countries. We derived clinical scores to identify hypoxemic child pneumonia.MethodsThis was a retrospective pooled analysis of two outpatient datasets of 3-35 month olds with World Health Organizati...

Full description

Saved in:
Bibliographic Details
Main Authors: Holly B. Schuh (Author), Shubhada Hooli (Author), Salahuddin Ahmed (Author), Carina King (Author), Arunangshu D. Roy (Author), Norman Lufesi (Author), ASMD Ashraful Islam (Author), Tisungane Mvalo (Author), Nabidul H. Chowdhury (Author), Amy Sarah Ginsburg (Author), Tim Colbourn (Author), William Checkley (Author), Abdullah H. Baqui (Author), Eric D. McCollum (Author)
Format: Book
Published: Frontiers Media S.A., 2023-10-01T00:00:00Z.
Subjects:
Online Access:Connect to this object online.
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:BackgroundPulse oximeters are not routinely available in outpatient clinics in low- and middle-income countries. We derived clinical scores to identify hypoxemic child pneumonia.MethodsThis was a retrospective pooled analysis of two outpatient datasets of 3-35 month olds with World Health Organization (WHO)-defined pneumonia in Bangladesh and Malawi. We constructed, internally validated, and compared fit & discrimination of four models predicting SpO2 < 93% and <90%: (1) Integrated Management of Childhood Illness guidelines, (2) WHO-composite guidelines, (3) Independent variable least absolute shrinkage and selection operator (LASSO); (4) Composite variable LASSO.Results12,712 observations were included. The independent and composite LASSO models discriminated moderately (both C-statistic 0.77) between children with a SpO2 < 93% and ≥94%; model predictive capacities remained moderate after adjusting for potential overfitting (C-statistic 0.74 and 0.75). The IMCI and WHO-composite models had poorer discrimination (C-statistic 0.56 and 0.68) and identified 20.6% and 56.8% of SpO2 < 93% cases. The highest score stratum of the independent and composite LASSO models identified 46.7% and 49.0% of SpO2 < 93% cases. Both LASSO models had similar performance for a SpO2 < 90%.ConclusionsIn the absence of pulse oximeters, both LASSO models better identified outpatient hypoxemic pneumonia cases than the WHO guidelines. Score external validation and implementation are needed.
Item Description:2296-2360
10.3389/fped.2023.1233532