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Stoellberger, C., Finsterer, J., Lutz, W. 
ORCID: https://orcid.org/0000-0001-7975-8145, Stoeberl, C., Kroiss, A., Valentin, A., & Slany, J.
(2000).
Multivariate analysis-based prediction rule for pulmonary embolism.
Thrombosis Research 97 (5) 267-273. 10.1016/S0049-3848(99)00180-2.
Abstract
The diagnosis of pulmonary embolism (PE) is still an unresolved problem. The aim of this prospective observational study was to derive and validate a prediction rule (PEscore) by which PE can be diagnosed by easily obtainable and rapidly available investigations. Included were consecutive patients with a clinical suspicion of PE admitted to a community hospital. Risk factors and clinical and instrumental investigations were registered. PE was diagnosed by angiography, scintigraphy, or autopsy. In 168 patients, PE was either diagnosed (angiography, n=28; autopsy, n=18) or excluded (angiography, n=12; scintigraphy, n=99; autopsy, n=11). Based on the results of clinical and instrumental findings, a PEscore was derived by a multiple regression analysis, calculated as: [0.29 x proven leg vein thrombosis (0=no, 1=yes)] + [0.25 x ECG right heart strain (0=no, 1=yes)] + [0.22 x neck vein distension (0=no, 1=yes)] + [0.20 x dyspnoea (0=no, 1=yes)] + [0.13 x suspicious chest X-ray (0=no, 1=yes)] - [0.17 (constant)]. The PEscore was tested further in 139 subsequent cases. In these patients, the PEscore was 0.65 +- 0.17 (diagnosed PE, n=47) and 0.1810.17 (excluded PE, n=92), respectively (p=0.0001). Depending on a given PEscore, the level of probability of PE can be assessed. Calculation of the PEscore can be helpful in clinical decisions when PE is suspected.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Pulmonary embolism; Leg vein thrombosis; Prediction rule |
| Research Programs: | World Population (POP) |
| Depositing User: | IIASA Import |
| Date Deposited: | 15 Jan 2016 02:11 |
| Last Modified: | 05 Aug 2023 05:00 |
| URI: | https://pure.iiasa.ac.at/6012 |
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