Journal of Family Medicine and Primary Care (Jan 2023)

Outcome prediction using sequential organ failure assessment (SOFA) score and serum lactate levels in organophosphate poisoning

  • Govinda Balmuchu,
  • Manoj K Mohanty,
  • Manas R Sahu,
  • Upendras Hansda,
  • Alagarasan Naveen,
  • Preetam K Lenka

DOI
https://doi.org/10.4103/jfmpc.jfmpc_1713_22
Journal volume & issue
Vol. 12, no. 4
pp. 777 – 782

Abstract

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Background: Organophosphorus compounds are widely used as pesticides in agriculture practicing countries like India. Since it is readily available and accessible, it is one of the most commonly used agents for suicidal poisoning. The current study was undertaken to evaluate the performance of the SOFA score (scoring system) and the serum lactate level (laboratory parameter) as a mortality predictor in organophosphorus poisoning. Material and Methods: This prospective observational study was conducted at AIIMS, Bhubaneswar, for 17 months. The study population included all patients with an alleged history of ingestion of organophosphorus (OP) compounds reporting to the casualty. The receiver operating characteristic (ROC) curve and the logistic regression analysis were used for the analysis. Results: In our study, 75 patients with OP poisoning were studied after satisfying the inclusion criteria. OP poisoning was commonly seen in married males aged 21–40 years. Twelve (16%) patients died during the process of treatment. There was a statistically significant difference in the mean SOFA score, serum lactate level, pH value, and mean duration of hospital stay between the discharged and the deceased patients. In the current study, the ROC curve analysis used to assess the predictor of the outcome of OP poisoning showed that the area under the curve for SOFA score and serum lactate level were 0.794 (95% CI 0.641–0.948) and 0.659 (95% CI 0.472–0.847), respectively. Conclusion: Sequential Organ Failure Assessment (SOFA) score is significantly associated with the outcome of organophosphate poisoning and can be utilized to predict mortality.

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