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A clinical scoring system for pediatric hand-foot-mouth disease
Hui Huang1, Li Deng2, Liping Jia1
1Department of Infectious Diseases, The Affiliated Children's Hospital, Capital Institute of Pediatrics, Beijing, China.
Insights
A new clinical scoring system accurately diagnoses hand-foot-mouth disease (HFMD) in young children. This tool uses accessible clinical data for rapid, low-cost HFMD diagnosis.
Area of Science:
- Pediatric infectious diseases
- Clinical diagnostics
- Epidemiology
Background:
- Hand-foot-mouth disease (HFMD) diagnosis can be challenging.
- Improved diagnostic accuracy is needed for effective management.
Purpose of the Study:
- To develop and validate a clinical scoring system for diagnosing HFMD in pediatric patients.
- Enhance diagnostic accuracy for both typical and atypical HFMD cases.
Main Methods:
- Retrospective analysis of 1435 pediatric patients under three years old with acute rash illness.
- Multivariate logistic regression identified seven predictive clinical variables.
- A scoring system was developed and validated using training and test sets with ROC curve analysis.
Main Results:
- The developed scoring system identified seven key clinical variables (e.g., age, exposure history, rash density).
- The scoring system demonstrated good diagnostic performance, with AUCs of 0.804 in the training set and 0.76 in the test set.
- A cutoff score of 7 achieved a sensitivity of 0.76 and specificity of 0.62 in the test set.
Conclusions:
- An objective, accessible clinical scoring system for HFMD diagnosis was established.
- The system offers a rapid, low-cost method for diagnosing HFMD in children presenting with acute rash illness.
- This tool aids clinicians in differentiating HFMD from other febrile rash illnesses.
Background:
The aim of the present study was to develop a clinical scoring system for the diagnosis of hand-foot-mouth disease (HFMD) with improved accuracy.
Methods:
A retrospective analysis was performed on standardized patient history and clinical examination data obtained from 1435 pediatric patients under the age of three years who presented with acute rash illness and underwent enterovirus nucleic acid detection. Patients were then divided into the HFMD (1094 patients) group or non-HFMD (341 patients) group based on a positive or a negative result from the assay, respectively. We then divided the data into a training set (1004 cases, 70%) and a test set (431 cases, 30%) using a random number method. Multivariate logistic regression was performed on 15 clinical variables (e.g. age, exposure history, number of rash spots in a single body region) to identify variables highly predictive of a positive diagnosis in the training set. Using the variables with high impact on the diagnostic accuracy, we generated a scoring system for predicting HFMD and subsequently evaluated this system in the test set by receiver operating characteristic curve (ROC curve).
Results:
Using the logistic model, we identified seven clinical variables (age, exposure history, and rash density at specific regions of the body) to be included into the scoring system. The final scores ranged from - 5 to 24 (higher scores positively predicted HFMD diagnosis). Through our training set, a cutoff score of 7 resulted in a sensitivity of 0.76 and specificity of 0.68. The area under the receiver operating characteristic curve (AUC) was 0.804 (95% confidence interval [CI]: 0.773-0.835) (P < 0.001). Using the test set, we obtained an AUC of 0.76 (95% CI: 0.710-0.810) with a sensitivity of 0.76 and a specificity of 0.62. These results from the test set were consistent with those from the training set.
Conclusions:
This study establishes an objective scoring system for the diagnosis of typical and atypical HFMD using measures accessible through routine clinical encounters. Due to the accuracy and sensitivity achieved by this scoring system, it can be employed as a rapid, low-cost method for establishing diagnoses in children with acute rash illness.
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