ArticleJournal of research in pharmacy practice
Toxicoepidemiology of Phosphide Poisoning in the Central Part of Iran.
Article in Journal of research in pharmacy practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed.
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Authors and funding
6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Objective: Aluminum phosphide (ALP) and zinc phosphide (ZnP) are toxic agrochemical pesticides, which are commonly used as an agent of self-harm in developing countries. Because of high toxicity of phosphides, we evaluated toxico-epidemiology ALP and ZnP poisoning in with respect to outcome. Methods: We performed a cross-sectional study with retrospective chart review including the records for patients admitted due to phosphide poisoning (ALP, ZnP) in a poisoning referral center in Khorshid Hospital, affiliated with Isfahan University of Medial Sciences, Isfahan, Iran. Demographic characteristics, clinical manifestations, outcome (survived or death), and length of hospital stay for the patients were recorded in a data collecting form. Binary backward stepwise logistic regression was used for outcome prediction. Findings: Sixty patients were evaluated in the study. The mean age of patients was 27.61. Thirty-nine patients were men. 96.7% of the patients ingested it intentionally. Most of the patients on admission were conscious (66.7%). Abnormality of EKG was noted in 8.3%. The mortality in ALP and ZnP poisoning was 39.2% and 22.2%, respectively. Serum bicarbonate and base excess in the venous blood gas analysis, systolic blood pressure, and serum sodium level were significantly different between patients with ALP and ZnP poisoning on admission time ( Conclusion: The rate of mortality in phosphide poisoning is high. Knowing predictive factors for mortality help physicians for selecting patients in intensive care unit admission and aggressive treatment.
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