Health risk stratification based on computed tomography pulmonary artery obstruction index for acute pulmonary embolism

Sci Rep. 2018 Dec 17;8(1):17897. doi: 10.1038/s41598-018-36115-7.

Abstract

Early effective identification of high-risk patients for acute pulmonary embolism (APE) contributes to timely treatment. The pulmonary artery obstruction index (PAOI) in computed tomography angiography (CTA) is a semi-quantitative observation index, commonly used to evaluate the severity of a patient's condition. This study explores the ability of PAOI to assess the risk stratification of APE. Thirty patients with APE were analysed. They were classified according to the guidelines, and the PAOI and cardiovascular parameters were measured in CTA. The difference of PAOI between different risk stratification patients was compared, and the predictive value of the PAOI for high-risk stratification was evaluated by the receiver operating characteristic curve. The correlation between PAOI and cardiovascular parameters was also analysed by Spearman correlation analysis. The PAOI in low- and high-risk patients was (33.2 ± 18.6)% and (68.1 ± 11.8)% respectively, and the difference was statistically significant. The PAOI was strongly predictive for high-risk patients. The cut-off value was 52.5%, with a sensitivity of 100% and specificity of 81.0%. The PAOI was correlated with the main cardiovascular parameters. We conclude that the PAOI in CTA is helpful for assessing risk stratification in patients with APE, which contributes to the selection of both the treatment plan and prognostic evaluation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Arterial Occlusive Diseases / pathology*
  • Computed Tomography Angiography / methods
  • Female
  • Humans
  • Male
  • Middle Aged
  • Prognosis
  • Pulmonary Artery / pathology*
  • Pulmonary Embolism / pathology*
  • ROC Curve
  • Risk Assessment
  • Sensitivity and Specificity
  • Severity of Illness Index
  • Tomography, X-Ray Computed / methods