Discrimination of the acute pulmonary embolism subtypes based on the novel MAPH score.
Onur AkhanMustafa BozTuncay GüzelMehmet KışPublished in: Journal of thrombosis and thrombolysis (2024)
Acute pulmonary embolism (APE) is a thromboembolism situation that can be central or peripheral. APE risk analysis and classification are essential for therapy planning. Our aim is to determine the novel MAPH score (including age, mean platelet volume (MPV), total protein, and hematocrit parameters) that can distinguish APE subtypes. Our retrospective cohort analysis includes 97 APE patients referred to the emergency medicine department who underwent pulmonary computed tomography angiography (CTA) in 24 h from 2020 to 2022. The hospital information system provided demographic, clinical, laboratory, and pulmonary CTA data. APE was classified into central (46 patients) and peripheral (51 patients) depending on the area of vascular involvement. The central APE group had higher hypertension (HT) (67.4%) and atrial fibrillation (AF) (39.1%) incidence than the peripheral APE group (all p values > 0.05). The central APE had higher total protein and platelet counts (p = 0.003 and p = 0.036), but peripheral APE had higher troponin values (p = 0.029). Central APE had 2.17 ± 0.85 MAPH and peripheral APE 1.76 ± 0.95 (p = 0.029). HT, AF, platelet count, and MAPH score differed significantly in univariate logistic regression (all p values < 0.05). However, only platelet count varied in multivariate logistic regression (p = 0.042). ROC curve analysis revealed that the MAPH score predicts central APE with 83% sensitivity and 45% specificity at a cut-off level of 1.5. The new MAPH score as an indicator of blood viscosity may distinguish between central and peripheral APE. Our result is significant, especially for centers with limited examinations, as it may accelerate the diagnosis and treatment processes. We think that our results might guide future investigations.
Keyphrases
- pulmonary embolism
- end stage renal disease
- atrial fibrillation
- ejection fraction
- chronic kidney disease
- newly diagnosed
- prognostic factors
- healthcare
- blood pressure
- inferior vena cava
- liver failure
- machine learning
- acute coronary syndrome
- pulmonary hypertension
- peritoneal dialysis
- coronary artery
- mesenchymal stem cells
- computed tomography
- stem cells
- risk factors
- patient reported outcomes
- emergency medicine
- deep learning
- venous thromboembolism
- big data
- peripheral blood
- bone marrow
- cell therapy
- hepatitis b virus
- direct oral anticoagulants
- catheter ablation
- oral anticoagulants