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Base excess in predicting the prognosis of patients with paraquat poisoning: A meta-analysis

BACKGROUND: Although the prognostic significance of base excess (BE) in patients with paraquat (PQ) poisoning has been investigated for several years, the results remain controversial. Thus, we performed for the first time a comprehensive meta-analysis to explore the value of BE in predicting the pr...

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Detalles Bibliográficos
Autores principales: Zhang, Feng Wei, Gao, Jie, Zhang, Su Li, Wu, Cheng Pu, Li, Yong, Bai, Wen Jing, Feng, Shun Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6571390/
https://www.ncbi.nlm.nih.gov/pubmed/31169729
http://dx.doi.org/10.1097/MD.0000000000015973
Descripción
Sumario:BACKGROUND: Although the prognostic significance of base excess (BE) in patients with paraquat (PQ) poisoning has been investigated for several years, the results remain controversial. Thus, we performed for the first time a comprehensive meta-analysis to explore the value of BE in predicting the prognosis of patients with PQ poisoning. METHODS: We searched PubMed, EMBase, Web of Science, ScienceDirect, Cochrane Library, and the Chinese National Knowledge Infrastructure to identify all relevant papers that were published up to August 2018. The data were extracted for pooled analysis, heterogeneity testing, sensitivity analysis, publication bias analysis, and subgroup analysis. RESULTS: Pooled analysis revealed that a decreased BE is correlated with poor mortality (pooled OR = 21.358, 95% CI: 12.716–35.873, P < .001). Pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were 78% (95% CI: 0.66–0.86), 88% (95% CI: 0.66–0.97), 6.6 (95% CI: 2.2–19.9), 0.25 (95% CI: 0.18–0.36), and 26 (10–69), respectively. No publication bias was detected by Egger test (P = .263) and Begg test (P = .462). Sensitivity analyses indicated no important differences among the estimates of effects. CONCLUSION: Our findings show that BE is useful for predicting the prognosis of PQ poisoning.