A new scoring in differential diagnosis: multisystem inflammatory syndrome or adenovirus infection?

2024

New Scoring System for Diagnosing MIS-C vs Adenovirus Infection

Sample size: 367 publication Evidence: high

Author Information

Author(s): Mustafa Gençeli, Talha Üstüntaş, Özge Metin Akcan, Sinan Saylık, Fatih Ercan, Sevgi Pekcan, Şipil Gençeli, Sevgi Yaşar Durmuş, Mustafa Argun

Primary Institution: Necmettin Erbakan University, Konya, Turkiye

Hypothesis

This study aimed to identify distinguishing characteristics and develop a scoring system to facilitate accurate diagnosis between multisystem inflammatory syndrome in children (MIS-C) and adenovirus infection (AI).

Conclusion

The proposed inpatient scoring system may improve the early differentiation of AI and MIS-C, helping to reduce unnecessary testing and optimize resource allocation.

Supporting Evidence

The MIS-C patients were significantly older than the AI patients (p < 0.001).
Diarrhea, rash, abdominal pain, vomiting, and other symptoms were more frequently associated with MIS-C (p < 0.001).
A total score above 14 could predict AI with a high degree of accuracy, with sensitivity at around 97.5% and specificity at 92.6%.
The area under the ROC curve for age in the MIS-C and AI groups was 0.858 (p < 0.001).
The scoring system demonstrated good diagnostic utility with an AUC of 0.989 (p < 0.001).

Takeaway

Doctors created a new scoring system to help tell the difference between two illnesses in kids that can look very similar, so they can give the right treatment faster.