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Variables such as age, past medical history, primary disease, administration routes, indications, and final outcome were expressed as counts and percentages. The Chi-square test assessed the predictive factors for severe CADRs, by comparing the counts between the two groups. If the actual frequency was less than 1 or 20% of the cells were less than 5, Fisher’s exact probability correction was used to test the level at α = 0.05, using SPSS version 22.0 (IBM Corp). All single factors with statistical significance(P < 0.05)were included as covariates in multiple logistic regression (stepwise model) analysis of ACDR predictive factors. Statistical significance was determined at a 95% confidence interval (P < 0.05). The case-non-case analysis was performed on the ten most significant medications inducing CADRs. The reporting odds ratio (ROR) driven by the fractions of individual medication-induced CADR cases was reported. The ratio of total induced CARDs and ADRs (non-case) with a lower 95% CI greater than 1 indicated statistical significance [4].

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