Multivariate analysis-based prediction rule for pulmonary embolism

Stoellberger C, Finsterer J, Lutz W, Stoeberl C, Kroiss A, Valentin A, & Slany J (2000). Multivariate analysis-based prediction rule for pulmonary embolism. Thrombosis Research 97 (5): 267-273. DOI:10.1016/S0049-3848(99)00180-2.

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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: 29 Aug 2016 14:54
URI: http://pure.iiasa.ac.at/6012

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