Literature DB >> 32787739

Investigation of simple, objective, and effective indicators for predicting acute paraquat poisoning outcomes.

Yiwei Su1, Weiwei Liu1, Guanghui Dong2, Zhengmin Qian3, Namratha Gurram4, Echu Liu5, Lenise A Cummings-Vaughn6, Steven W Howard5, Michael G Vaughn7, Daire R Jansson3, Chen Zhang1, Jianyu Wang1, Yimin Liu1.   

Abstract

Initial symptoms of paraquat (PQ) toxicity are often not obvious, and the lack of advanced testing equipment and medical conditions in the primary hospital make it difficult to provide early diagnosis and timely treatment. To explore simple, objective, and effective indicators of prognosis for primary clinicians, we retrospectively analyzed acute PQ poisoning in 190 patients admitted to our hospital from 2008 to 2017. Based on their condition at the time of discharge, patients were categorized into either the survival group (n = 71) or the mortality group (n = 119). Age, PQ ingested amount, urinary PQ, urinary protein, white blood cell (WBC), and serum creatinine (Cr) were the key factors associated with the prognosis for PQ poisoning. We identified specific diagnostic thresholds for these key indicators of PQ poisoning: PQ ingested amount (36.50 mL), urinary PQ (semiquantitative result "++"), urinary protein (semiquantitative result "±"), WBC (16.50 × 109/L), and serum Cr (102.10 µmol/L). Combining these five indicators to identify poisoning outcomes was considered objective, accurate, and convenient. When the combined score was <1, the predicted probability of patient death was 6%. When the combined score was ≥3, the predicted probability of patient death was 96%. These findings provide metrics to assist primary clinicians in predicting outcomes of acute PQ poisoning at earlier stages, a basis for administering treatment.

Entities:  

Keywords:  Paraquat; acute poisoning; biological indicators; predictive indicator

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Year:  2020        PMID: 32787739     DOI: 10.1177/0748233720933522

Source DB:  PubMed          Journal:  Toxicol Ind Health        ISSN: 0748-2337            Impact factor:   2.273


  2 in total

1.  Prediction of mortality and morbidity following paraquat poisoning based on trend of liver and kidney injury.

Authors:  Farzad Gheshlaghi; Jamileh Haghirzavareh; Anselm Wong; Parastoo Golshiri; Shayan Gheshlaghi; Nastaran Eizadi-Mood
Journal:  BMC Pharmacol Toxicol       Date:  2022-09-06       Impact factor: 2.605

2.  Sociodemographic and clinical characteristics related to the final condition of patients intoxicated by paraquat in a hospital in southwestern Colombia

Authors:  Yalila Andrea Ordóñez-Zarama; Daniel Jurado-Fajardo; María Camila Paredes-Panesso; David Alejandro Rosero-Bello; Franco Andrés Montenegro-Coral; José Alirio Risueño-Blanco
Journal:  Biomedica       Date:  2022-09-02       Impact factor: 1.173

  2 in total

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