Author: Erturk Sengel, Buket; Tukenmez Tigen, Elif; Ilgin, Can; Basari, Tugce; Bedir, Merve; Odabasi, Zekaver; Korten, Volkan
Title: Application of CALL score for prediction of progression risk in patients with COVIDâ€19 at university hospital in Turkey Cord-id: sc3is93u Document date: 2021_8_4
ID: sc3is93u
Snippet: BACKGROUND: The CALL score was developed as a predictive model for progressive disease. We aimed to validate and/or improve the performance of CALL score in our hospital settings. METHODS: Adult patients with polymerase chain reactionâ€confirmed COVIDâ€19 were included in this retrospective observational study. Clinical and laboratory characteristics (including complete blood count, CRP, ferritin, LDH, fibrinogen, dâ€dimer) were obtained. ROC analysis was used for the evaluation of CALL score
Document: BACKGROUND: The CALL score was developed as a predictive model for progressive disease. We aimed to validate and/or improve the performance of CALL score in our hospital settings. METHODS: Adult patients with polymerase chain reactionâ€confirmed COVIDâ€19 were included in this retrospective observational study. Clinical and laboratory characteristics (including complete blood count, CRP, ferritin, LDH, fibrinogen, dâ€dimer) were obtained. ROC analysis was used for the evaluation of CALL score's performance. Cox regression analyses were performed for the selection of new parameters for improving CALL score. RESULTS: Overall, 256 patients were enrolled in the study. The median age was 54 (IQR, 22.5), 134 (52%) were women, 155 (61%) had at least one comorbidity, 60 (23%) had severe disease. The AUC value for CALL score for predicting progression to severe COVIDâ€19 was 0.59 (95% CI 0.50â€0.66). Dâ€dimer on admission was associated with progressive disease (HR = 1.2 CI 95% 1.02â€1.40), (P < .027). CONCLUSION: The performance of the CALL score in our patient population was low compared with the original study. We found an additional parameter for predicting progressive COVIDâ€19 disease, Dâ€dimer, which may guide future studies to develop new scoring systems for predicting progressive disease.
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