Acute and Critical Care

Original Articles

Prediction of Mortality in Patients with Acute Paraquat Intoxication Using Simplified Acute Physiology Score II: Young yeol You, Younggi Min, Junghwan Ahn, Sang Cheon Choi, Yeonho Shin, Yoonseok Jung, Eunjung Park; Korean J Crit Care Med. 2011;26(4):221-225.; DOI: https://doi.org/10.4266/kjccm.2011.26.4.221

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Abstract PDF: BACKGROUND
The prognosis of paraquat intoxication patients is poor and this makes the prediction of mortality important in administering aggressive treatment and admission. This article investigates the usefulness of simplified acute physiology score II (SAPS II), as a predictor of the mortality in paraquat intoxication.
METHODS
We retrospectively reviewed 65 patients who were admitted in one hospital between January in 2005 and December in 2010. We calculated their SAPS II, serum paraquat level, and severity index of paraquat poisoning (SIPP) at the time of intensive care unit (ICU) admission. We investigated the relationship between each systems and the mortality.
RESULTS
Overall mortality was 73.8%: 48 out of 65 patients died. Non-survived group (n = 48) had a higher SAPS II score (30.44 +/- 15.99) than survived group (n = 17 [15.7 +/- 6.26], p < 0.001). Serum paraquat level and SIPP were significantly higher in non-survived group than in survived group (p < 0.05, in all comparisons). By using the area under receiver operating characteristic curves (AUC), the SAPS II system yielded equal discriminative power (AUC = 0.82) with serum paraquat level (AUC = 0.896) and SIPP (AUC = 0.865). Hosmer-Lemeshow goodness-of-fit test C indicated SAPS II score validated well in paraquat intoxication group (p = 0.33).
CONCLUSIONS
Serum paraquat level is the best way for prediction of mortality in patients with acute paraquat intoxication. If checking serum paraquat level is impossible or delayed, SAPS II score can be an alternative tool for evaluating the prognosis in paraquat intoxication.

Prognostic Factors and the Effect of Hemoperfusion for Patients with Paraquat Poisoning: Ae Jin Sung, Jae Young Jang; Korean J Crit Care Med. 2010;25(1):21-26.; DOI: https://doi.org/10.4266/kjccm.2010.25.1.21

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BACKGROUND
Paraquat has been widely used as a non-selective contact herbicide and it may induce damage to many organs. This study aimed to assess the factors that can predict the prognosis of paraquat poisoning and to determine the effect of hemoperfusion.
METHODS
We retrospectively reviewed 132 patients who were poisoned with paraquat from January 2005, to December 2008. The patients were divided into two groups: The first groups included the death and survived groups, and the second groups included the hemoperfusion and non-hemoperfusion groups. We investigated the mortality, the factors that can predictive the prognosis and the effect of hemoperfusion.
RESULTS
There were 79 males and 53 female (mean age: 56.1 +/- 15.1 years). The significant differences between the death and survival groups were the volume of paraquat ingested, the mental status, GCS (Glasgow coma scale), pH, base deficit, HCO3, serum Cr (creatinine), serum AST (aspartate transaminase), serum glucose, K (kalium), urine sodium dithionite test and hemoperfusion. The significant differences between the hemoperfusion and non-hemoperfusion groups were the mortality and the mean survival time. Multivariate regression analysis reveled four predictive factors and their's Odd ratio: 1) urine sodium dithionate test = strong 14.256, 2) hemoperfusion 0.493, 3) Cr > 0.95 mg/kg 31.603 and 4) an amount of ingested paraquat > 45 ml 16.945.
CONCLUSIONS
The predictive factors for mortality were the amount of paraquat ingested > 45 ml, a urine sodium dithionite test = strong and a serum Cr > 0.95 mg/dl. Hemoperfusion couldn't be used a predictive factor for mortality, but it increased the mean survival time.

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Prediction of Mortality in Patients with Acute Paraquat Intoxication Using Simplified Acute Physiology Score II
Young-yeol You, Younggi Min, Junghwan Ahn, Sang-Cheon Choi, Yeonho Shin, Yoonseok Jung, Eunjung Park
The Korean Journal of Critical Care Medicine.2011; 26(4): 221. CrossRef

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