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.
Humans ; Intensive Care Units ; Paraquat ; Prognosis ; Research Design ; Retrospective Studies ; ROC Curve

OBJECTIVES: The molecular mechanisms underlying attention-deficit hyperactivity disorder (ADHD) remain unclear. Therefore, this study aimed to identify the genetic susceptibility loci for ADHD in Korean children with ADHD. We performed a case-control and a family-based genome-wide association study (GWAS), as well as genome-wide quantitative trait locus (QTL) analyses, for two symptom traits. METHODS: A total of 135 subjects (71 cases and 64 controls), for the case-control analysis, and 54 subjects (27 probands and 27 unaffected siblings), for the family-based analysis, were included. RESULTS: The genome-wide QTL analysis identified four single nucleotide polymorphisms (SNPs) (rs7684645 near APELA, rs12538843 near YAE1D1 and POU6F2, rs11074258 near MCTP2, and rs34396552 near CIDEA) that were significantly associated with the number of inattention symptoms in ADHD. These SNPs showed possible association with ADHD in the family-based GWAS, and with hyperactivity-impulsivity in genome-wide QTL analyses. Moreover, association signals in the family-based QTL analysis for the number of inattention symptoms were clustered near genes IL10, IL19, SCL5A9, and SKINTL. CONCLUSION: We have identified four QTLs with genome-wide significance and several promising candidates that could potentially be associated with ADHD (CXCR4, UPF1, SETD5, NALCN-AS1, ERC1, SOX2-OT, FGFR2, ANO4, and TBL1XR1). Further replication studies with larger sample sizes are needed.
Adolescent* ; Case-Control Studies ; Child ; Genetic Predisposition to Disease ; Genome-Wide Association Study ; Humans ; Interleukin-10 ; Polymorphism, Single Nucleotide ; Quantitative Trait Loci ; Sample Size