Literature DB >> 27387349

Effectiveness of the sequential organ failure assessment, acute physiology and chronic health evaluation II, and simplified acute physiology score II prognostic scoring systems in paraquat-poisoned patients in the intensive care unit.

Jun Ho Lee1, Seong Youn Hwang1, Hye Ran Kim1, Yang Won Kim2, Mun Ju Kang1, Kwang Won Cho1, Dong Woo Lee1, Yong Hwan Kim1.   

Abstract

OBJECTIVE: This study was conducted to assess the ability of the sequential organ failure assessment (SOFA) and acute physiology and chronic health evaluation (APACHE) II scoring systems, as well as the simplified acute physiology score (SAPS) II method to predict group mortality in intensive care unit (ICU) patients who were poisoned with paraquat. This will assist physicians with risk stratification.
MATERIAL AND METHODS: The medical records of 244 paraquat-poisoned patients admitted to the ICU from January 2010 to April 2015 were examined retrospectively. The SOFA, APACHE II, and SAPS II scores were calculated based on initial laboratory data in the emergency department and during the first 24 h of ICU admission. The probability of death was calculated for each patient based on the SOFA score, APACHE II score, and SAPS II. The ability of the SOFA score, APACHE II score, and SAPS II method to predict group mortality was assessed using a receiver operating characteristic (ROC) curve and calibration analyses.
RESULTS: A total of 219 patients (mean age, 63 years) were enrolled. Sensitivities, specificities, and accuracies were 58.5%, 86.1%, and 64.0% for the SOFA, respectively; 75.1%, 86.1%, and 77.6% for the APACHE II scoring systems, respectively; and 76.1%, 79.1%, and 76.7% for the SAPS II, respectively. The areas under the curve in the ROC curve analysis for the SOFA score, APACHE II scoring system, and SAPS II were 0.716, 0.850, and 0.835, respectively.
CONCLUSION: The SOFA, APACHE II, and SAPS II had different capabilities to discriminate and estimate early in-hospital mortality of paraquat-poisoned patients. Our results show that although the SOFA and SAPS II are easier and more quickly calculated than APACHE II, the APACHE II is superior for predicting mortality. We recommend use of the APACHE II for outcome predictions and risk stratification in paraquat-poisoned patients in the ICU.

Entities:  

Keywords:  Cardiovascular toxicity; metabolism; poisonings

Mesh:

Substances:

Year:  2016        PMID: 27387349     DOI: 10.1177/0960327116657602

Source DB:  PubMed          Journal:  Hum Exp Toxicol        ISSN: 0960-3271            Impact factor:   2.903


  7 in total

1.  Comparison of elevated cardiac troponin I with SAPS-II and APACHE-II score in predicting outcome of severe intoxications.

Authors:  Seyed Mostafa Mirakbari; Amir Mohammad Kazemifar; Peyman Namdar; Mahyar Seddighi; Abbas Allami; Ameneh Barikani
Journal:  Indian J Anaesth       Date:  2022-04-20

2.  Epidemiological characteristics of and risk factors for patients with postoperative acute kidney injury: a multicenter prospective study in 30 Chinese intensive care units.

Authors:  Yu Zhang; Li Jiang; Baomin Wang; Xiuming Xi
Journal:  Int Urol Nephrol       Date:  2018-02-26       Impact factor: 2.370

Review 3.  The value of APACHE II in predicting mortality after paraquat poisoning in Chinese and Korean population: A systematic review and meta-analysis.

Authors:  Jianshu Huang; Dandan Xuan; Xiuju Li; Li Ma; Yuanling Zhou; Hejian Zou
Journal:  Medicine (Baltimore)       Date:  2017-07       Impact factor: 1.889

4.  Metabolic Profiling of Amino Acids Associated with Mortality in Patients with Acute Paraquat Poisoning.

Authors:  Xiuxian Wan; Chunyu Zhou; Xin Kang; Dayong Hu; Wen Xue; Xinhua Li; Hui Bao; Ai Peng
Journal:  Med Sci Monit       Date:  2018-03-07

5.  Sequential organ failure assessment in predicting mortality after paraquat poisoning: A meta-analysis.

Authors:  Wen Jie Wang; Li Wei Zhang; Shun Yi Feng; Jie Gao; Yong Li
Journal:  PLoS One       Date:  2018-11-16       Impact factor: 3.240

6.  Validation of APACHE II, APACHE III and SAPS II scores in in-hospital and one year mortality prediction in a mixed intensive care unit in Poland: a cohort study.

Authors:  Szymon Czajka; Katarzyna Ziębińska; Konstanty Marczenko; Barbara Posmyk; Anna J Szczepańska; Łukasz J Krzych
Journal:  BMC Anesthesiol       Date:  2020-12-02       Impact factor: 2.217

7.  Development and validation of a risk stratification model for predicting the mortality of acute kidney injury in critical care patients.

Authors:  Haofan Huang; Yong Liu; Ming Wu; Yi Gao; Xiaxia Yu
Journal:  Ann Transl Med       Date:  2021-02
  7 in total

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