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Performance of the paracetamol-aminotransferase multiplication product in risk stratification after paracetamol (acetaminophen) poisoning: a systematic review and meta-analysis

Chun-En Yau, Hao-Yang Chen, B. Lim, Mingwei Ng, R. Ponampalam, D. Y. Lim, Yip H. Chin, A. Ho

Clinical toxicology, 2022

5,036 participants · 13 citations

Abstract

Abstract Background Risk stratification in paracetamol (acetaminophen) poisoning is crucial because hepatotoxicity is common and can be mitigated with treatment. However, current risk stratification tools have limitations. Aims We evaluated the diagnostic performance of the paracetamol concentration × aminotransferase multiplication product, for predicting hepatotoxicity after paracetamol overdose. Methods Medline, Cochrane Library and Embase were searched for eligible papers. We used random effects models to obtain pooled estimates of the likelihood ratios and diagnostic odds ratios, from which sensitivity and specificity were computed. We assessed two commonly used cut-off values of paracetamol × aminotransferase, 1500 mg/L × IU/L and 10,000 mg/L × IU/L. Using the confusion matrices of these two cut-offs, area under the summary receiver operator characteristic curve and optimal cut-off values in different clinical scenarios were established. Results Six studies comprising 5036 participants were included. In 4051 patients, using the cut-off of 1500 mg/L × IU/L, a diagnostic odds ratio of 31.90 (95%CI: 9.52–106.90), sensitivity of 0.98 (95%CI: 0.94–1.00) and specificity of 0.66 (95%CI: 0.49–0.89) were obtained. In 3983 patients, using the cut-off of 10,000 mg/L × IU/L, a diagnostic odds ratio of 99.34 (95%CI: 12.26–804.87), sensitivity of 0.65 (95%CI: 0.51–0.82) and specificity of 0.97 (95%CI: 0.95–1.00) were obtained. For staggered ingestions, the 1500 mg/L × IU/L cut-off…

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Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid. Reported size: 5,036 participants or records.

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