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find Keyword "Pulmonary embolism severity index" 2 results
  • Research of Cardiac Biomarkers and Pulmonary Embolism Severity Index for the Diagnosis of Acute Pulmonary Embolism and Its Risk Stratification

    ObjectiveTo investigate diagnostic and prognostic value of pulmonary embolism severity index (PESI), troponin I (cTnI) and brain natriuretic peptide (BNP) in patients with acute pulmonary embolism (APE). MethodsA total of 96 patients confirmed with APE were collected from January 2010 to January 2013, and 50 cases of non-APE controls were also selected in the same period. According to the PESI scores, patients were divided into low-risk, mid-risk, and highrisk group. According to the results of cTnI and BNP, patients were divided into positive group and negative group. Then, we evaluated the diagnostic and prognostic value of the PESI score, cTnI and BNP for patients with APE. ResultsFor the APE patients, the higher the risk was, the higher the constituent ratio of massive and sub-massive APE was (P<0.01). In the cTnI positive group, massive and sub-massive APE accounted for 82.9%, and in the cTnI negative group, non-massive APE was up to 81.9%; in the BNP positive group, massive and sub-massive APE accounted for 73.3%, and in the BNP negative group, non-massive APE was up to 86.3%. The patients with positive cTnI and BNP had a higher rate of right ventricular dysfunction, cardiogenic shock and mortality than the negative group (P<0.01). ConclusionThe combined detection of cTnI, BNP and PESI score is important in the diagnosis and risk stratification in APE patients.

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  • APACHEⅡ, NEWS, PESI and CCI for predicting mortality in patients with pulmonary embolism: a comparative study

    ObjectivesTo compare the efficacy of acute physiology and chronic health evaluationⅡ (APACHEⅡ), national early warning score (NEWS), pulmonary embolism severity index (PESI) and Charlson comorbidity index (CCI) on pulmonary embolism (PE) prognosis.MethodsClinical data of patients with PE treated in The Second Xiangya Hospital of Central South University from 2010 to 2017 were retrospectively analyzed. They were divided into death group and survival group, and four clinical scores were calculated. The differences of risk factors between the two groups were compared. Logistic regression analysis was used to obtain the independent risk factors related to mortality. The ROC working curve was used to compare the capability of four clinical scores for PE mortality. SPSS 24.0 and Medcalc 18.2.1 software were used for statistical analysis. ResultsA total of 318 patients with PE were included, and the mortality rate was 13.2%. The APACHEⅡ, NEWS, PESI and CCI of the death group were higher than those of the survival group. There were significant differences between two groups (P<0.05). It was confirmed by logistic regression analysis that cerebrovascular disease, heart rate, leukocyte, troponin T, arterial partial pressure of oxygen, right ventricular dysfunction (RVD) were independent risk factors for 90-day mortality. The areas under the ROC curve of APACHEⅡ, CCI, PESI, NEWS were 0.886, 0.728, 0.715 and 0.731, respectively. The area under the ROC curve of APACHEⅡ was the largest, which was better than NEWS, CCI and PESI (P<0.05), and there was no significant difference among NEWS, CCI and PESI.ConclusionsAPACHEⅡ may be the best predictor of mortality in PE patients, which is superior to NEWS, CCI and PESI.

    Release date:2019-07-31 02:24 Export PDF Favorites Scan
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