Model of Miniati et al for Predicting the Probability of Pulmonary Embolism in a Patient

Description

Miniati et al developed a model for predicting the probability of a pulmonary embolism in a patient. This can separate patients into low and high risk groups. The authors are from Universita degli Studi di Firenze, University of South Carolina, and Instituto di Fisiologia Clinica del Consiglio Nazionale Dell Ricerche in Pisa, Italy.

Parameters:

(1) age of the patient in years

(2) gender

(3) immobilization

(4) history of deep vein thrombosis

(5) preexisting cardiovascular disease

(6) preexisting pulmonary disease

(7) sudden onset of dyspnea

(8) orthopnea

(9) chest pain

(10) fainting or syncope

(11) hemoptysis

(12) unilateral leg swelling

(13) body temperature

(14) wheezes on chest auscultation

(15) crackles on chest auscultation

(16) acute cor pulmonale on ECG

Parameter	Finding	Points
age	< 57 years of age	0
	57 to 67 years	0.80
	68 to 74 years	0.87
	>= 75 years	1.14
gender	female	0
	male	0.60
immobilization	absent	0
	present	0.42
history of deep vein thrombosis	absent	0
	present	0.64
cardiovascular disease	absent	0
	present	-0.51
pulmonary disease	absent	0
	present	-0.89
sudden onset of dyspnea	absent	0
	present	2.0
orthopnea	absent	0
	present	-1.51
chest pain	absent	0
	present	1.01
fainting or syncope	absent	0
	present	0.66
hemoptysis	absent	0
	present	0.93
unilateral leg swelling	absent	0
	present	0.80
body temperature	<= 38°C	0
	> 38°C (febrile)	-1.47
wheezes	absent	0
	present	-1.20
crackles	absent	0
	present	-0.61
acute cor pulmonale on ECG	absent	0
	present	1.96

where:

• ECG changes of acute cor pulmonale include one or more of the following: S1Q3T3, S1S2S3, negative T waves in right precordial leads, transient right bundle branch block, and/or pseudoinfarction.

X =

= SUM(points for all 16 parameters) - 3.43

probability of a pulmonary embolism =

= 1 / (1 + EXP((-1) * X))

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Description

Specialty

ICD-10