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10.1016/j.krcp.2016.01.003 http://scihub22266oqcxt.onion/10.1016/j.krcp.2016.01.003 C4919560!4919560!27366665     free     free     free Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Kidney+Res+Clin+Pract 2016 ; 35 (2): 102-6 Nephropedia Template TP {{tp|p=27366665|t=2016. Predicting the probability of survival in acute paraquat poisoning? |pdf=|usr=}}{{27366665}} gab.com Text Predicting the probability of survival in acute paraquat poisoning JO: Kidney Res Clin Pract http://www.kidney.de/pget.php?&tw=1&pmid=27366665 #FOAvip Background: Paraquat (PQ) concentration?time data have been used to predict prognosis for 3 decades. The aim of this study was to find a more accurate method to predict the probability of survival. Methods: This study included 788 patients with PQ poisoning who were diagnosed using plasma PQ concentration between January 2005 and August 2012. We divided these patients into 2 groups (survivors vs. nonsurvivors), compared their clinical characteristics, and analyzed the predictors of survival. Results: The mean age of the included patients was 57 years (range, 14?95 years). When we compared clinical characteristics between survivors (n = 149, 19%) and nonsurvivors (n = 639, 81%), survivors were younger (47 ± 14 years vs. 59 ± 16 years) and had lower plasma PQ concentrations (1.44 ± 8.77 ?g/mL vs. 80.33 ± 123.15 ?g/mL) than nonsurvivors. On admission, serum creatinine was lower in survivors than in nonsurvivors (0.95 ± 0.91 mg/dL vs. 1.88 ± 1.27 mg/dL). In multivariate logistic regression analysis, age and logarithmically converted serum creatinine [ln(Cr)], [ln(time)], and [ln(PQ)] were assessed as prognostic factors to predict survival in PQ poisoning. The predicted probability of survival using significant prognostic factors was exp (logit)/[1 + exp(logit)], where logit = ?1.347 + [0.212 × sex (male = 1, female = 0)] + (0.032 × age) + [1.551 × ln(Cr)] + [0.391 × ln(hours since ingestion)] + [1.076 × ln(plasma PQ ?g/mL)]. With this equation, the sensitivity and specificity were 86.5% and 98.7%, respectively. Conclusion: Age, ln(Cr), ln(time), and ln(PQ) were important prognostic factors in PQ poisoning, and our equation can be helpful to predict the survival in acute PQ poisoning patients. Twit Text FOAVip Predicting the probability of survival in acute paraquat poisoning ????Kidney Res Clin Pract http://www.kidney.de/pget.php?&tw=1&pmid=27366665 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27366665 #FOAvip English Wikipedia <ref>{{Cite pmid|27366665}}</ref> Predicting the probability of survival in acute paraquat poisoning? #MMPMID27366665 Sun IO; Shin SH; Yoon HJ; Lee KY Kidney Res Clin Pract 2016[Jun]; 35 (2): 102-6 PMID27366665show ga Background: Paraquat (PQ) concentration?time data have been used to predict prognosis for 3 decades. The aim of this study was to find a more accurate method to predict the probability of survival. Methods: This study included 788 patients with PQ poisoning who were diagnosed using plasma PQ concentration between January 2005 and August 2012. We divided these patients into 2 groups (survivors vs. nonsurvivors), compared their clinical characteristics, and analyzed the predictors of survival. Results: The mean age of the included patients was 57 years (range, 14?95 years). When we compared clinical characteristics between survivors (n = 149, 19%) and nonsurvivors (n = 639, 81%), survivors were younger (47 ± 14 years vs. 59 ± 16 years) and had lower plasma PQ concentrations (1.44 ± 8.77 ?g/mL vs. 80.33 ± 123.15 ?g/mL) than nonsurvivors. On admission, serum creatinine was lower in survivors than in nonsurvivors (0.95 ± 0.91 mg/dL vs. 1.88 ± 1.27 mg/dL). In multivariate logistic regression analysis, age and logarithmically converted serum creatinine [ln(Cr)], [ln(time)], and [ln(PQ)] were assessed as prognostic factors to predict survival in PQ poisoning. The predicted probability of survival using significant prognostic factors was exp (logit)/[1 + exp(logit)], where logit = ?1.347 + [0.212 × sex (male = 1, female = 0)] + (0.032 × age) + [1.551 × ln(Cr)] + [0.391 × ln(hours since ingestion)] + [1.076 × ln(plasma PQ ?g/mL)]. With this equation, the sensitivity and specificity were 86.5% and 98.7%, respectively. Conclusion: Age, ln(Cr), ln(time), and ln(PQ) were important prognostic factors in PQ poisoning, and our equation can be helpful to predict the survival in acute PQ poisoning patients. äPredicting the probability of survival in acute paraquat poisoning? (epmc).pdf DeepDyve Pubget Overpricing