Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
BackgroundHypoxemia predicts mortality at all levels of care, and appropriate management can reduce preventable deaths. However, pulse oximetry and oxygen therapy remain inaccessible in many primary care health facilities. We aimed to develop and validate a simple risk score comprising commonly evaluated clinical features to predict hypoxemia in 2-59-month-old children with pneumonia.MethodsData from 7 studies conducted in 5 countries from the Pneumonia Research Partnership to Assess WHO Recommendations (PREPARE) dataset were included. Readily available clinical features and demographic variables were used to develop a multivariable logistic regression model to predict hypoxemia (SpO2<90%) at presentation to care. The adjusted log coefficients were transformed to derive the PREPARE hypoxemia risk score and its diagnostic value was assessed in a held-out, temporal validation dataset.ResultsWe included 14,509 children in the analysis; 9.8% (n=2,515) were hypoxemic at presentation. The multivariable regression model to predict hypoxemia included age, sex, respiratory distress (nasal flaring, grunting and/or head nodding), lower chest indrawing, respiratory rate, body temperature and weight-for-age z-score. The model showed fair discrimination (area under the curve 0.70, 95% CI 0.67 to 0.73) and calibration in the validation dataset. The simplified PREPARE hypoxemia risk score includes 5 variables: age, respiratory distress, lower chest indrawing, respiratory rate and weight-for-age z-score.ConclusionThe PREPARE hypoxemia risk score, comprising five easily available characteristics, can be used to identify hypoxemia in children with pneumonia with a fair degree of certainty for use in health facilities without pulse oximetry. Its implementation would require careful consideration to limit inappropriate referrals on patients and the health system. Further external validation in community settings in low-and middle-income countries is required.KEY MESSAGESWhat is already known on this topicPulse oximetry is unavailable or underutilized in many resource-limited settings in low- and middle-income countries.Hypoxemia is a good predictor of mortality and its early identification and further management can reduce mortality.What this study addsThe PREPARE hypoxemia risk score was developed using one of the largest and most geographically diverse datasets on childhood pneumonia to date.Using age, lower chest indrawing, respiratory rate, respiratory distress and weight-for-age z-score to calculate the PREPARE hypoxemia risk score could help identify children with hypoxemia in settings without pulse oximeters.How this study might affect research, practice or policyThis study contributes to the important discussion on how best to identify hypoxemic children in the absence of pulse oximetry.Further research is warranted to validate the findings in community settingsOperationalizing and integrating the score within existing clinical management pathways must be tailored to the setting of implementation.
BackgroundHypoxemia predicts mortality at all levels of care, and appropriate management can reduce preventable deaths. However, pulse oximetry and oxygen therapy remain inaccessible in many primary care health facilities. We aimed to develop and validate a simple risk score comprising commonly evaluated clinical features to predict hypoxemia in 2-59-month-old children with pneumonia.MethodsData from 7 studies conducted in 5 countries from the Pneumonia Research Partnership to Assess WHO Recommendations (PREPARE) dataset were included. Readily available clinical features and demographic variables were used to develop a multivariable logistic regression model to predict hypoxemia (SpO2<90%) at presentation to care. The adjusted log coefficients were transformed to derive the PREPARE hypoxemia risk score and its diagnostic value was assessed in a held-out, temporal validation dataset.ResultsWe included 14,509 children in the analysis; 9.8% (n=2,515) were hypoxemic at presentation. The multivariable regression model to predict hypoxemia included age, sex, respiratory distress (nasal flaring, grunting and/or head nodding), lower chest indrawing, respiratory rate, body temperature and weight-for-age z-score. The model showed fair discrimination (area under the curve 0.70, 95% CI 0.67 to 0.73) and calibration in the validation dataset. The simplified PREPARE hypoxemia risk score includes 5 variables: age, respiratory distress, lower chest indrawing, respiratory rate and weight-for-age z-score.ConclusionThe PREPARE hypoxemia risk score, comprising five easily available characteristics, can be used to identify hypoxemia in children with pneumonia with a fair degree of certainty for use in health facilities without pulse oximetry. Its implementation would require careful consideration to limit inappropriate referrals on patients and the health system. Further external validation in community settings in low-and middle-income countries is required.KEY MESSAGESWhat is already known on this topicPulse oximetry is unavailable or underutilized in many resource-limited settings in low- and middle-income countries.Hypoxemia is a good predictor of mortality and its early identification and further management can reduce mortality.What this study addsThe PREPARE hypoxemia risk score was developed using one of the largest and most geographically diverse datasets on childhood pneumonia to date.Using age, lower chest indrawing, respiratory rate, respiratory distress and weight-for-age z-score to calculate the PREPARE hypoxemia risk score could help identify children with hypoxemia in settings without pulse oximeters.How this study might affect research, practice or policyThis study contributes to the important discussion on how best to identify hypoxemic children in the absence of pulse oximetry.Further research is warranted to validate the findings in community settingsOperationalizing and integrating the score within existing clinical management pathways must be tailored to the setting of implementation.
Background: The AIRE project has implemented routine Pulse Oximeter (PO) use in Integrated Management of Childhood Illness (IMCI) consultations to improve the diagnosis and care management of severe illnesses in primary health centre (PHC) in Burkina Faso, Guinea, Mali and Niger. We analysed care management of severe cases according to hypoxemia, and the determinants of their Day-14 mortality. Methods: All children under-5 attending IMCI consultations using PO and classified as severe cases (severe IMCI cases or with severe hypoxemia: SpO2<90%) were enrolled at 16 research PHCs (four/country) in a 14-Day prospective cohort with parental consent. Care management according to hypoxemia severity and determinants of Day-14 mortality were analysed. Results: From June 2021 to June 2022, 1,998 severe cases, including 212 (10.6%) aged <2 months were enrolled. Severe hypoxemia was common (7.1%), affecting both respiratory cases (9.9%) and non-respiratory cases (3.7%); 10.5% had moderate hypoxemia (90%≤SpO2≤93%). Overall, 463 (23.2%) have been hospitalised. At Day-14, 95 (4.8%) have died, and 27 (1.4%) were lost-to-follow-up. The proportions of referral decision, hospitalisation and oxygen therapy were significantly higher for severe hypoxemic cases (83.8%, 82.3%, 34.5%, respectively) than for those with moderate hypoxemia (32.7%, 26.5%, 7.1%, respectively) or without hypoxemia (26.3%, 17.5%, 1.4%, respectively). Similarly, Day-14 mortality rates were 26.1%, 7.5% and 2.3% respectively (p<0.001). Death occurred within a median delay of one day for severe hypoxemia. In an adjusted mixed-effect Cox model, age <2 months, severe and moderate hypoxemia, severe malaria, and place of case management elsewhere than at PHC independently increased mortality at Day-14. Conclusion: Both severe and moderate hypoxemia were frequent among outpatient critically ill children diagnosed using PO, and associated with a high mortality. Although, the diagnosis of hypoxemia prompted their care management, hospital referral and access to oxygen remain sub-optimal and crucial levers for reducing under-5 mortality in West Africa.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.