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- W4360992187 abstract "Abstract Objective: To evaluate existing scoring systems and develop a new model to predict intravenous immunoglobulin (IVIG) resistance in patients with Kawasaki disease (KD). Methods: A retrospective cohort study performed between 2004 and 2017 identified 115 patients treated with IVIG for classic or incomplete KD. IVIG resistance was defined as fever for >24 hours and patients were divided into responders and non-responders. A univariate analysis was performed to identify independent predictors of IVIG resistance. The predictors were combined into a new scoring system and compared with existing scoring systems. Results: Sixty-five patients had classic KD and 50 had incomplete KD. Among the 115 patients, 80 (69.6%) responded and the remaining 35 were resistant (30.4%) to IVIG. Of the 35 resistant patients, 16 patients had incomplete KD. Hispanic children comprised 43% of our sample population. Coronary artery abnormalities developed in 14 of the 35 IVIG resistant patients (39%). Univariate analysis showed that IVIG resistant patients were older, and present with lower platelets, potassium, and creatinine ( P <0.05). Multivariate logistic regression analysis used platelets, potassium, body surface area (BSA) and creatinine to devise the Las Vegas Scoring System (LVSS), which demonstrated a sensitivity of 76.2 % and a specificity of 68.6 %. Conclusion: Compared to published data, we observed a higher rate of IVIG resistance and coronary artery abnormalities in our patient population. The LVSS (using platelets, potassium, BSA, and creatinine) showed higher specificity and comparable sensitivity to other scoring systems devised to predict IVIG resistance." @default.
- W4360992187 created "2023-03-30" @default.
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- W4360992187 date "2023-03-27" @default.
- W4360992187 modified "2023-10-18" @default.
- W4360992187 title "Novel Score to Predict Immunoglobulin Resistance in Kawasaki Disease" @default.
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- W4360992187 doi "https://doi.org/10.21203/rs.3.rs-2725386/v1" @default.
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