Peer-reviewed article
Performance of Pediatric Early Warning Score and physician gestalt in predicting adverse events among critically ill patients in an Emergency Department in Tanzania.
Irene A Kindole, Humphrey G Medarakini, Alphonce N Simbila, Christine A Kindole, Peter P Kunambi et al. ·
Summary
Written by AI, not yet AICS's view · claude-haiku-4-5-20251001This study compared two methods for identifying critically ill children at risk of serious complications in a Tanzanian emergency department: the Pediatric Early Warning Score (PEWS) and physicians' clinical judgment. Among 250 emergency cases, 48 children experienced adverse events such as admission to intensive care or death. Physician judgment was found to be more accurate than PEWS at predicting these events. The findings suggest that in resource-limited settings, doctors' clinical experience may be a valuable tool for quickly identifying children who need urgent intervention.
Key points
- Physician gestalt achieved higher discriminatory ability (AUC 0.964) compared to PEWS (AUC 0.869) in predicting adverse events
- Physician gestalt had higher specificity (95.5%) and positive predictive value (80.4%) than PEWS (80.7% and 48.0% respectively)
- Among 250 children triaged as emergency cases, 48 experienced adverse events including ICU admission, cardiac arrest or death
- PEWS at cut-off ≥3 achieved 75% sensitivity and 93.1% negative predictive value
- Study was conducted at a single tertiary teaching hospital, limiting generalizability to other emergency settings
Limitations
The study was conducted at only one tertiary referral and training hospital in Tanzania, so findings may not apply to other emergency departments with different resources, staffing levels, or patient populations. The study does not explain why physician gestalt outperformed PEWS or provide guidance on how to standardize this clinical judgment across different settings and providers.
Abstract
INTRODUCTION: Critically ill pediatric patients presenting to the emergency department (ED) are highly susceptible to adverse events if timely interventions are not initiated. To predict such events, ED physicians may use the Pediatric Early Warning Score (PEWS) and/or clinical gestalt. PEWS has been validated in predicting deterioration in both high and low-middle income countries, but it has not been compared to physician gestalt in either setting. METHODS: This was a prospective cohort study of children aged 28 days to 14 years who presented to the ED of a tertiary teaching hospital in Tanzania from 1st May to 30th June 2024 and who were triaged as "emergency" (highest acuity). Physicians' estimates of the probability (0-100%) of an adverse event (admission to the high dependent unit, Intensive care unit, cardiac arrest or death) occurring during the patient's ED stay were recorded for each patient on arrival. PEWS was calculated by the researchers from the child's vital signs, and not disclosed to the physician. The discriminatory ability of PEWS and physician gestalt for the prediction of an adverse event in the ED was compared using DeLong's test. Area under the curve (AUC) sensitivity, specificity, positive (PPV) and negative predictive (NPV) values were calculated, using a cut-off of ≥3 for PEWS and ≥70% for physician gestalt. RESULTS: Of the 250 pediatric patients enrolled, 48 had an adverse event. PEWS (AUC = 0.869, 95% CI 0.809 to 0.930), at a cut-off of ≥3 achieved a sensitivity of 75.0% and a specificity of 80.7%, PPV of 48.0%, and NPV of 93.1%. Physician gestalt (AUC = 0.964; 95% CI 0.936 to 0.992), at a cut-off of ≥70% achieved a sensitivity of 77.1% and a specificity of 95.5%, PPV of 80.4%, and NPV of 94.6%. The AUC of physician gestalt was significantly higher than that of PEWS (p = 0.005). DISCUSSION: Physician gestalt demonstrated superior performance to PEWS in this setting, supporting its use as a risk stratification tool in low-resource emergency settings. However, as this study was performed at a tertiary referral and training hospital, further studies across diverse emergency care settings are needed to determine the generalizability of these findings.
Findings the Hub has extracted
Each claim below is labelled by its type of design and links back to this report.
- Intervention
- Use of Pediatric Early Warning Score (PEWS) calculated from vital signs to predict adverse events in the emergency department
- Population
- Children aged 28 days to 14 years triaged as 'emergency' (highest acuity) presenting to a tertiary teaching hospital emergency department in Tanzania
Key finding
PEWS AUC of 0.869 (95% CI 0.809-0.930) with sensitivity 75.0%, specificity 80.7%, PPV 48.0%, NPV 93.1% at cut-off ≥3