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2186. Differentiation of Severe Fever with Thrombocytopenia Syndrome from Scrub Typhus

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Abstract Background SFTS and scrub typhus have similar clinical features and difficult to differentiate. Thus, a study to develop a scoring system to differentiate between two diseases in a clinical setting before the confirmation of laboratory results was reported by Kim et al. However, the statistical power could be low because of low numbers of cases (21 SFTS, 91 scrub typhus), our study analyzed by increasing the number of cases to overcome these limitations. Methods We retrospectively collected data from 183 SFTS and 178 scrub typhus patients who visited the 21 hospitals in South Korea between October, 2013 and November, 2017. The study protocol was approved by the IRB of each institution. SFTS was diagnosed through detection of SFTS viral RNA using RT–PCR. Scrub typhus was diagnosed either detection of 56-kDa antigen of O. tsutsugamushi using nested PCR or ≥ 4 fold rise in IgM or IgG titer using indirect IFA. Statistical analyses were performed by using SPSS and Medcalc. Results To differentiate SFTS from scrub typhus, we applied the scoring system proposed by Kim et al. After multivariable logistic regression, altered mental status, leukopenia, prolonged aPTT, and normal CRP(≤ 1.0 mg/dL) were significantly associated with SFTS compared with scrub typhus. Each variable was scored by 1 point, with a total score of 0–4 points, the optimal cutoff value was > 1 for the ROC curve. A score > 1 had 92% sensitivity, 96% specificity for diagnosis of SFTS, with a ROC AUC of 0.974. Because the sensitivity was less than 95%, we changed the normal CRP criteria to ≤ 3.0 mg/dL. The modified scoring system had 97% sensitivity, 96% specificity for diagnosis of SFTS, with an AUC of 0.983, and it showed a statistically higher accuracy than original scoring system (P = 0.0487). In this study, four factors for predicting SFTS were newly developed: leukopenia, prolonged aPTT, normal CRP (≤3.0 mg/dL), and elevated CK (>1,000 IU/L). Our study scoring system had 97% sensitivity, 98% specificity for diagnosis of SFTS, with an AUC of 0.992, and it showed a statistically higher accuracy than original scoring system (P = 0.0308). Conclusion In conclusion, we can easily differentiate SFTS from scrub typhus by using our scoring system of leukopenia, prolonged aPTT, normal CRP, and elevated CK in the endemic area. Disclosures All authors: No reported disclosures.
Title: 2186. Differentiation of Severe Fever with Thrombocytopenia Syndrome from Scrub Typhus
Description:
Abstract Background SFTS and scrub typhus have similar clinical features and difficult to differentiate.
Thus, a study to develop a scoring system to differentiate between two diseases in a clinical setting before the confirmation of laboratory results was reported by Kim et al.
However, the statistical power could be low because of low numbers of cases (21 SFTS, 91 scrub typhus), our study analyzed by increasing the number of cases to overcome these limitations.
Methods We retrospectively collected data from 183 SFTS and 178 scrub typhus patients who visited the 21 hospitals in South Korea between October, 2013 and November, 2017.
The study protocol was approved by the IRB of each institution.
SFTS was diagnosed through detection of SFTS viral RNA using RT–PCR.
Scrub typhus was diagnosed either detection of 56-kDa antigen of O.
tsutsugamushi using nested PCR or ≥ 4 fold rise in IgM or IgG titer using indirect IFA.
Statistical analyses were performed by using SPSS and Medcalc.
Results To differentiate SFTS from scrub typhus, we applied the scoring system proposed by Kim et al.
After multivariable logistic regression, altered mental status, leukopenia, prolonged aPTT, and normal CRP(≤ 1.
0 mg/dL) were significantly associated with SFTS compared with scrub typhus.
Each variable was scored by 1 point, with a total score of 0–4 points, the optimal cutoff value was > 1 for the ROC curve.
A score > 1 had 92% sensitivity, 96% specificity for diagnosis of SFTS, with a ROC AUC of 0.
974.
Because the sensitivity was less than 95%, we changed the normal CRP criteria to ≤ 3.
0 mg/dL.
The modified scoring system had 97% sensitivity, 96% specificity for diagnosis of SFTS, with an AUC of 0.
983, and it showed a statistically higher accuracy than original scoring system (P = 0.
0487).
In this study, four factors for predicting SFTS were newly developed: leukopenia, prolonged aPTT, normal CRP (≤3.
0 mg/dL), and elevated CK (>1,000 IU/L).
Our study scoring system had 97% sensitivity, 98% specificity for diagnosis of SFTS, with an AUC of 0.
992, and it showed a statistically higher accuracy than original scoring system (P = 0.
0308).
Conclusion In conclusion, we can easily differentiate SFTS from scrub typhus by using our scoring system of leukopenia, prolonged aPTT, normal CRP, and elevated CK in the endemic area.
Disclosures All authors: No reported disclosures.

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