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Development of a severity of illness scoring system (inpatient triage, assessment and treatment) for
Dan Olson1, Nicole L Davis, Robert Milazi
1Department of Pediatrics, University of Colorado, Denver, CO, USA. daniel.olson@childrenscolorado.org
Insights
A new pediatric illness severity score, inpatient triage, assessment and treatment (ITAT), effectively identifies high-risk children in resource-limited hospitals. This tool aids in timely clinical re-evaluation for improved patient outcomes.
Area of Science:
- Pediatric critical care
- Global health
- Clinical assessment tools
Background:
- Resource-limited settings face challenges in accurately assessing pediatric illness severity.
- Timely identification of critically ill children is crucial for effective intervention.
Purpose of the Study:
- To develop and validate the inpatient triage, assessment and treatment (ITAT) score.
- To identify hospitalized children at the highest risk of mortality in resource-constrained environments.
Main Methods:
- A nested case-control study was conducted in a Malawian referral hospital.
- The ITAT score was derived from oxygen saturation, temperature, and age-adjusted heart and respiratory rates.
- Logistic regression and predictive statistics were used to analyze the score's performance.
Main Results:
- The ITAT score demonstrated an area under the receiver operating characteristic curve of 0.76.
- An ITAT cut-off of 4 showed a sensitivity of 0.44 and specificity of 0.86.
- A cumulative ITAT score of 4 or higher was significantly associated with increased odds of death (OR 4.80).
Conclusions:
- The developed inpatient triage, assessment and treatment (ITAT) tool is suitable for resource-constrained hospitals.
- ITAT can effectively identify high-risk children post-admission.
- Further research is recommended to optimize ITAT's implementation in developing countries.
Objective:
To develop a new paediatric illness severity score, called inpatient triage, assessment and treatment (ITAT), for resource-limited settings to identify hospitalised patients at highest risk of death and facilitate urgent clinical re-evaluation.
Methods:
We performed a nested case-control study at a Malawian referral hospital. The ITAT score was derived from four equally weighted variables, yielding a cumulative score between 0 and 8. Variables included oxygen saturation, temperature, and age-adjusted heart and respiratory rates. We compared the ITAT score between cases (deaths) and controls (discharges) in predicting death within 2 days. Our analysis includes predictive statistics, bivariable and multivariable logistic regression, and calculation of data-driven scores.
Results:
A total of 54 cases and 161 controls were included in the analysis. The area under the receiver operating characteristic curve was 0.76. At an ITAT cut-off of 4, the sensitivity, specificity and likelihood ratio were 0.44, 0.86 and 1.70, respectively. A cumulative ITAT score of 4 or higher was associated with increased odds of death (OR 4.80; 95% CI 2.39-9.64). A score of 2 for all individual vital signs was a statistically significant independent predictor of death.
Conclusions:
We developed an inpatient triage tool (ITAT) appropriate for resource-constrained hospitals that identifies high-risk children after hospital admission. Further research is needed to study how best to operationalise ITAT in developing countries.
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