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. 2015 Jan;23(1):55-61.
doi: 10.1007/s12471-014-0628-7.

Cardiac troponin I for predicting right ventricular dysfunction and intermediate risk in patients with normotensive pulmonary embolism

Affiliations

Cardiac troponin I for predicting right ventricular dysfunction and intermediate risk in patients with normotensive pulmonary embolism

K Keller et al. Neth Heart J. 2015 Jan.

Abstract

Background: Right ventricular dysfunction (RVD) and cardiac troponin I (cTnI) are important tools for risk stratification in pulmonary embolism (PE). We investigate the association of RVD and cTnI in normotensive PE patients and calculate a cTnI cut-off level for predicting RVD and submassive PE.

Methods: Clinical, laboratory, radiological and echocardiagraphic data were analysed. Patients were categorised into groups with or without RVD and compared focussing on cTnI. Effectiveness of cTnI for predicting RVD and submassive PE was tested.

Results: One hundred twenty-nine normotensive PE patients, 71 with and 58 without RVD, were included. Patients with RVD were older (75.0 years (61.3/81.0) vs. 66.0 years (57.7/75.1), P = 0.019). cTnI (0.06 ng/ml (0.02/0.23) vs. 0.01 ng/ml (0.00/0.03), P < 0.0001) and D-dimer values (2.00 mg/l (1.08/4.05) vs. 1.23 mg/l (0.76/2.26), P = 0.016) were higher in PE with RVD. cTnI was associated with RVD (OR 3.95; 95 % CI 1.95-8.02, p = 0.00014). AUC for cTnI diagnosing RVD was 0.79, and for submassive PE0.87. Cut-off values for cTnI predicting RVD and submassive PE were 0.01 ng/ml, with a negative predictive value of 73 %. cTnI was positively correlated with age, D-dimer and creatinine.

Conclusions: In normotensive PE patients, cTnI is helpful for risk stratification and excluding RVD. cTnI elevation is correlated with increasing age and reduced kidney function.

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Figures

Fig. 1
Fig. 1
Cardiac troponin I level in PE patients with and without RVD
Fig. 2
Fig. 2
Receiver operating characteristic (ROC) curve with area under the curve (AUC) for effectiveness of cardiac troponin I to predict submassive PE with intermediate risk
Fig. 3
Fig. 3
Spearman’s rank correlation coefficient for several parameters

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