Dong Jia1,2, Fan Liu2, Qin Zhang2, Guang-Qiao Zeng3, Xue-Lian Li4, Gang Hou2. 1. Emergency Department, Shengjing Hospital of China Medical University, Shenyang, China. 2. Institute of Respiratory Disease, the First Hospital of China Medical University, Shenyang, China. 3. State Key Laboratory of Respiratory Disease, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of Respiratory Diseases, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China. 4. Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China.
Abstract
INTRODUCTION: Patients with acute pulmonary embolism(APE)who present with right ventricular dysfunction (RVD) have a worse prognosis. This study aimed to evaluate the value of routine biochemical parameters in predicting RVD and 30-day mortality in patients with APE. METHODS: We retrospectively collected the clinical data for 154 enrolled patients, including the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), D-dimer, cardiac troponin I (cTnI), and N-terminal pro-brain natriuretic peptide (NT-proBNP). We analyzed the correlation between RVD and the parameters and conducted a receiver operating characteristic (ROC) curve to confirm the cut-off values for predicting RVD and 30-day mortality. Formulas were built with relevant parameters to predict RVD and 30-day mortality. RESULTS: Age, NLR, PLR, D-dimer, the ratio of cTnI (+), and NT-proBNP (+) were significantly higher in RVD (+) patients. The ratio of cTnI (+) and NT-proBNP (+) in 30-day mortality (+) patients was significantly higher than that in 30-day mortality (-) patients. According to the logistic regression analysis, NLR, cTnI (+), and NT-proBNP (+) correlated with RVD. The formula for the RVD risk score is 0.072 × NLR+1.460 × NT-proBNP (+)+2.113 × cTnI (+), and the area under the curve (AUC) = 0.890 (95% CI: 0.839-0.941, P = .001). The formula for the 30-day mortality risk score is 0.115 × NLR + 2.046 × NT-proBNP (+) + 1.946 × cTnI (+) -0.016 × PLR, and the AUC = 0.903 (95% CI: 0.829-0.976, P = .001). CONCLUSIONS: The rapid on-site evaluation of routine biochemical parameters, including NLR, cTnI, and NT-proBNP levels, and the formula developed using these parameters are valuable for predicting RVD and 30-day mortality in patients with APE.
INTRODUCTION:Patients with acute pulmonary embolism(APE)who present with right ventricular dysfunction (RVD) have a worse prognosis. This study aimed to evaluate the value of routine biochemical parameters in predicting RVD and 30-day mortality in patients with APE. METHODS: We retrospectively collected the clinical data for 154 enrolled patients, including the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), D-dimer, cardiac troponin I (cTnI), and N-terminal pro-brain natriuretic peptide (NT-proBNP). We analyzed the correlation between RVD and the parameters and conducted a receiver operating characteristic (ROC) curve to confirm the cut-off values for predicting RVD and 30-day mortality. Formulas were built with relevant parameters to predict RVD and 30-day mortality. RESULTS: Age, NLR, PLR, D-dimer, the ratio of cTnI (+), and NT-proBNP (+) were significantly higher in RVD (+) patients. The ratio of cTnI (+) and NT-proBNP (+) in 30-day mortality (+) patients was significantly higher than that in 30-day mortality (-) patients. According to the logistic regression analysis, NLR, cTnI (+), and NT-proBNP (+) correlated with RVD. The formula for the RVD risk score is 0.072 × NLR+1.460 × NT-proBNP (+)+2.113 × cTnI (+), and the area under the curve (AUC) = 0.890 (95% CI: 0.839-0.941, P = .001). The formula for the 30-day mortality risk score is 0.115 × NLR + 2.046 × NT-proBNP (+) + 1.946 × cTnI (+) -0.016 × PLR, and the AUC = 0.903 (95% CI: 0.829-0.976, P = .001). CONCLUSIONS: The rapid on-site evaluation of routine biochemical parameters, including NLR, cTnI, and NT-proBNP levels, and the formula developed using these parameters are valuable for predicting RVD and 30-day mortality in patients with APE.
Authors: Stavros V Konstantinides; Adam Torbicki; Giancarlo Agnelli; Nicolas Danchin; David Fitzmaurice; Nazzareno Galiè; J Simon R Gibbs; Menno V Huisman; Marc Humbert; Nils Kucher; Irene Lang; Mareike Lankeit; John Lekakis; Christoph Maack; Eckhard Mayer; Nicolas Meneveau; Arnaud Perrier; Piotr Pruszczyk; Lars H Rasmussen; Thomas H Schindler; Pavel Svitil; Anton Vonk Noordegraaf; Jose Luis Zamorano; Maurizio Zompatori Journal: Eur Heart J Date: 2014-08-29 Impact factor: 29.983
Authors: Tudor Scridon; Cristiana Scridon; Hicham Skali; Alberto Alvarez; Samuel Z Goldhaber; Scott D Solomon Journal: Am J Cardiol Date: 2005-07-15 Impact factor: 2.778