TY - JOUR
T1 - Diagnostic performance of C-reactive protein level and its role as a potential biomarker of severe dengue in adults
AU - Rao, Raghavendra
AU - Nayak, Snehal
AU - Pandey, Akhilesh K.
AU - Kamath, Shobha U.
PY - 2020/8/1
Y1 - 2020/8/1
N2 - Objective: To determine the relationship between C-reactive protein (CRP) level and the severity of dengue and the potential use of CRP in predicting acute dengue infection. Methods: A prospective observational study was performed on dengue patients admitted to a tertiary care hospital in southern India. All patients of age above 18 years, diagnosed with dengue were included in the study. The detailed laboratory parameters pertaining to dengue were recorded. CRP levels were estimated and compared between groups i.e. severe and non-severe dengue. CRP cut-off value was detected using the receiver-operator curve. Results: Totally 98 patients with a mean age of 40 years were included. Among them, 11.2% of the patients suffered from severe dengue, 54.1% of the cases had non-severe dengue without warning signs, and 34.7% had non-severe dengue with warning signs. The median CRP was significantly higher in patients with severe dengue compared to patients with non-severe dengue (96.2 mg/dL vs. 5.3 mg/dL). Univariate logistic regression analysis showed that the odd's ratio (OR) of CRP was 1.053 (P≤0.001, 95% CI=1.029-1.078). CRP at a cutoff value of 21.6 mg/L (0.929 AUC) had excellent sensitivity (100%) and specificity (81.6%) in predicting severe dengue infection. Multivariate logistic regression analysis showed that CRP (OR=1.089, P=0.013) and ALT (OR=1.010, P=0.034) were statistically significant independent predictors of dengue severity. Conclusions: CRP level could be used as a potential biomarker to predict severity of dengue in adults.
AB - Objective: To determine the relationship between C-reactive protein (CRP) level and the severity of dengue and the potential use of CRP in predicting acute dengue infection. Methods: A prospective observational study was performed on dengue patients admitted to a tertiary care hospital in southern India. All patients of age above 18 years, diagnosed with dengue were included in the study. The detailed laboratory parameters pertaining to dengue were recorded. CRP levels were estimated and compared between groups i.e. severe and non-severe dengue. CRP cut-off value was detected using the receiver-operator curve. Results: Totally 98 patients with a mean age of 40 years were included. Among them, 11.2% of the patients suffered from severe dengue, 54.1% of the cases had non-severe dengue without warning signs, and 34.7% had non-severe dengue with warning signs. The median CRP was significantly higher in patients with severe dengue compared to patients with non-severe dengue (96.2 mg/dL vs. 5.3 mg/dL). Univariate logistic regression analysis showed that the odd's ratio (OR) of CRP was 1.053 (P≤0.001, 95% CI=1.029-1.078). CRP at a cutoff value of 21.6 mg/L (0.929 AUC) had excellent sensitivity (100%) and specificity (81.6%) in predicting severe dengue infection. Multivariate logistic regression analysis showed that CRP (OR=1.089, P=0.013) and ALT (OR=1.010, P=0.034) were statistically significant independent predictors of dengue severity. Conclusions: CRP level could be used as a potential biomarker to predict severity of dengue in adults.
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U2 - 10.4103/1995-7645.289440
DO - 10.4103/1995-7645.289440
M3 - Article
AN - SCOPUS:85089184956
SN - 1995-7645
VL - 13
SP - 358
EP - 365
JO - Asian Pacific Journal of Tropical Medicine
JF - Asian Pacific Journal of Tropical Medicine
IS - 8
ER -