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Development of a risk-stratification tool for medical child abuse in failure to thrive
Constance Mash1, Thomas Frazier, Amy Nowacki
1Cleveland Clinic Children's Hospital, Cleveland, OH 44195, USA.
Insights
A new risk-stratification tool can help identify medical child abuse (MCA) in children with failure to thrive (FTT). The tool uses clinical indicators to improve early detection and reduce harm in suspected MCA cases.
Area of Science:
- Pediatrics
- Child Abuse
- Medical Diagnosis
Background:
- Failure to thrive (FTT) is a complex condition requiring careful evaluation.
- Distinguishing FTT from medical child abuse (MCA) can be challenging for clinicians.
- Early identification of MCA is crucial to prevent severe outcomes.
Purpose of the Study:
- To develop a risk-stratification tool for identifying MCA in children evaluated for FTT.
- To create a classification tree to aid in the early detection of medical child abuse.
Main Methods:
- A case-control study compared 17 children with confirmed MCA to 68 controls with FTT.
- Retrospective chart review was conducted.
- Classification-tree analysis was used to develop the risk-stratification tool.
Main Results:
- A risk-stratification tool was developed using a classification tree.
- Key indicators included: involvement of ≥ 5 organ systems, absence of congenital anomalies/genetic disorders, ≥ 5 allergies, and refusal of feeding team services.
- The tool achieved 100% sensitivity and 96% specificity.
Conclusions:
- Features of initial presentation and clinical course can suggest MCA in FTT cases.
- The developed risk-stratification tool may aid in earlier identification of medically abused children.
- Earlier identification can potentially reduce morbidity and mortality associated with MCA.
Objective:
To develop a risk-stratification tool to help identify medical child abuse (MCA) in children evaluated for failure to thrive (FTT).
Patients And Methods:
In this case-control study, the control group consisted of children who were seen in the pediatric gastroenterology department and diagnosed with FTT before the age of 5 years between 2000 and 2010. Cases were distinguished by having also been referred to the Child Advocacy Committee at the Cleveland Clinic Foundation (CCF) and/or reported to the Department of Child and Family Services by the CCF as a possible case of MCA. We used retrospective chart review to compare 17 cases of MCA with 68 controls. Classification-tree analysis was used to generate the risk-stratification tool.
Results:
A risk-stratification tool, in the form of a classification tree, was developed and incorporated the following individual risk indicators: (1) ≥ 5 organ systems involved; (2) absence of serious congenital anomaly or confirmed genetic disorder; (3) ≥ 5 reported allergies; and (4) refusal of services from a multidisciplinary feeding team. Overall, the classification tree had a sensitivity of 100% and a specificity of 96%.
Conclusions:
The results of this study suggest that a diagnosis of MCA may be suspected in children with FTT on the basis of features in the initial presentation and clinical course. Using the proposed risk-stratification tool that incorporates these features might assist in earlier identification of medically abused children and reduce morbidity and mortality.
