Diagnostic Values of Troponin I and T for Prediction of Mortality in Patients Hospitalized in Intensive care Unit and Need Hemodialysis in Alzahra Hospital, Isfahan, Iran, during 2015-16

Background: Some of previous studies showed that risk of mortality in patients who need hemodialysis and hospitalized in intensive care unit is higher but and biomarker is not detected for prediction of mortality in these patients. So, this study aimed to evaluate the diagnostic values of troponin I...

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Published inMajallah-i dānishkadah-i pizishkī-i Iṣfahān. (Online) Vol. 35; no. 442; pp. 1000 - 1005
Main Authors Babak Alikiaii, Saeed Abbasi, Darioush Moradi-Farsani, Seyed Taghi Hashemi, Khadijeh Ghasemi
Format Journal Article
LanguagePersian
Published Isfahan University of Medical Sciences 01.10.2017
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Summary:Background: Some of previous studies showed that risk of mortality in patients who need hemodialysis and hospitalized in intensive care unit is higher but and biomarker is not detected for prediction of mortality in these patients. So, this study aimed to evaluate the diagnostic values of troponin I and T for prediction of mortality in patients hospitalized in intensive care unit and need hemodialysis. Methods: In a cross-sectional study in Alzahra hospital, Isfahan, Iran, during 2015-16, 70 patients hospitalized in intensive care unit were selected and serum levels of troponin I and T were measured and its relation with mortality was studied. In addition, the diagnostic values of troponin I and T for prediction of mortality was evaluated. Findings: The best cut-off point of troponin I and T for prediction of mortality were 1.5 and 1.2 µg/ml, respectively. In addition, sensitivity, specificity, false positive, false negative, positive predictive values, negative predictive value and accuracy were 26.7%, 81.8%, 18.2%, 73.3%, 28.6%, 80.4%, and 67.1% for troponin I, respectively, and 26.7%, 78.2%, 21.8%, 73.3%, 25.0%, 79.6%, and 70% for troponin T, respectively. Conclusion: Troponin I and T are not suitable markers for prediction of mortality in patients hospitalized in intensive care units and need hemodialysis.
ISSN:1027-7595
1735-854X