Warning indicators of COVID-19 severity: a retrospective observational study integrating modern biomarkers and traditional tongue features.

OBJECTIVE

This study aims to identify early warning indicators of COVID-19 severity by integrating modern medical biomarkers with traditional Chinese medicine (TCM) tongue features.

METHODS

A retrospective observational study was conducted on 409 hospitalized COVID-19 patients from two centers in China. Patients were stratified into severe ( = 50) and non-severe ( = 359) groups based on the 10th edition of China's diagnostic guidelines. Data included demographics, clinical symptoms, tongue characteristics, and laboratory parameters. Univariate analyses (chi-square/Fisher's exact tests) and stepwise logistic regression were performed to identify key predictors.

RESULTS

Age ( < 0.001), fever ( < 0.001), elevated procalcitonin (PCT,  < 0.001), thick tongue fur ( = 0.003), and fat tongue shape ( = 0.002) were significant predictors of severity. The combined model integrating these factors demonstrated superior predictive performance (Nagelkerke  = 0.741).

CONCLUSION

Integrating TCM tongue features (thick fur and fat shape) with clinical biomarkers (age, fever, and PCT) enhances early identification of severe COVID-19, particularly in resource-limited settings.