Sentence examples for using the spirometric classification from inspiring English sources

We categorized subjects using the spirometric classification of the Global Initiative for Chronic Obstructive Lung Disease (GOLD) [18].

Breath-hold was obtained at least 3 times in inspiration and expiration using the spirometric equipment just before CT acquisition in supine position.

This was identified using the spirometric criteria of a forced expiratory volume in 1 s of <60% of the predicted value (for age, sex and height) or a forced vital capacity <70% of the predicted value.

Normal lung function was defined using the spirometric parameters as follows: Ratio of forced expiratory volume (FEV1) to forced vital capacity (FVC) ratio >0.70 and FVC and FEV1 > 80% of the predicted value.

Risk was assessed according to the spirometric classification (high risk: severe and very-severe) and/or total exacerbations in the past year (high risk: ≥ 2 exacerbations).

Its severity was graded according to the Spirometric Classification of COPD severity, by reference to percent of predicted forced expiratory volume in one second (FEV1).

Regarding the spirometric classification of severity, patients presented the following distribution: 2 at stage I (mild); 2 at stage II (moderate); 11 at stage III (severe); and 5 at stage IV (very severe).

Table 2 shows estimates of sensitivity and specificity for FT and LLN, using the alternative spirometric cut-off as the reference standard.

The classification used the classification system designed for track events.

We used the following classification.

We ran a second set of logistic regression models with the same exposures but using the results of spirometric testing as the outcome.