Interpretative strategies for lung function tests

Pellegrino, Riccardo

doi:10.1183/09031936.05.00035205

Cited by 4,902 publications

(5,042 citation statements)

References 150 publications

Supporting

Mentioning

4,636

Contrasting

Unclassified

218

Order By: Relevance

“…<lower limit of normal (LLN)] [1,2]. In practice, once the OVD diagnosis is retained, it is essential to grade its severity into five degrees based on the FEV 1 [1,3].…”

mentioning

confidence: 99%

“…Two methods were recommended by the American Thoracic and the European Respiratory Societies (ATS/ERS) [1] and by the global lung initiative (GLI) [2], to estimate the LLN. According to the ATS/ERS [1], the LLN can be estimated either as the 90% confidence interval using Gaussian statistics (in case of normal distribution) or with a nonparametric technique, such as the 90th percentile (in case of skewed distribution) [1].…”

mentioning

confidence: 99%

“…According to the ATS/ERS [1], the LLN can be estimated either as the 90% confidence interval using Gaussian statistics (in case of normal distribution) or with a nonparametric technique, such as the 90th percentile (in case of skewed distribution) [1]. In practice, the 90% LLN of each spirometric data is obtained by the subtraction of ‘1.64 × residual standard deviation (SD)’ from the predicted value [1]. For example, the LLN of FEV 1 is equal to ‘FEV 1 predicted value − 1.64 × residual SD’.…”

mentioning

confidence: 99%

“…For example, the LLN of FEV 1 is equal to ‘FEV 1 predicted value − 1.64 × residual SD’. While according to the ATS/ERS [1], the aforementioned SD is a fixed value whatever the age, for the GLI [2], it is a coefficient of variation that varies with age and, hence it must be modeled. According to the GLI, the LLN is considered as a Z -score lower than ‘−1.64’ [2].…”

mentioning

confidence: 99%

“…Surprisingly, there is a disagreement between the ATS/ERS and the GLI on the way to express the FEV 1 [1,3]. While the ATS/ERS classification is based on the FEV 1 expressed in percentage of the predicted value (%pred) [1], the GLI new classification is based on the FEV 1 Z -scores [3].…”

mentioning

confidence: 99%

See 4 more Smart Citations

Defining and grading an obstructive ventilatory defect (OVD): ‘FEV₁/FVC lower limit of normal (LLN) vs. Z-score’ and ‘FEV₁ percentage predicted (%pred) vs. Z-score’

Kammoun

Ghannouchi

Rouatbi

et al. 2018

Libyan Journal of Medicine

View full text Add to dashboard Cite

An obstructive ventilatory defect (OVD) is defined by a low forced expiratory volume/‘forced/slow’ vital capacity (FEV1/FVC) (e.g. 70%), moderate (60–69%), moderately severe (50–59%), severe (35–49%), and very severe (<35%) and GLI (FEV1Z-score): mild (≥ −2.0), moderate (−2.0 to −2.5), moderately severe (−2.5 to −3.0), severe (−3.0 to −4.0), and very severe (<−4.0). The frequencies of OVD were 14.4% (ATS/ERS method) and 10.5% (GLI method) (p < 0.05). Among the 103 participants having an OVD according to the two methods, the severity classification was mild (34.95% vs. 37.86%, p < 0.05), moderate (25.24% vs. 18.45%, p < 0.05), moderately severe (23.30% vs. 15.53%, p = 0.144), severe (9.71% vs. 20.39%, p < 0.05), and very severe (6.80% vs. 7.77%, p = 0.785), respectively for the ATS/ERS and GLI classifications. The two OVD definitions were not exchangeable. Moreover, the two grading severity systems misclassified the OVD grades.

show abstract

“…<lower limit of normal (LLN)] [1,2]. In practice, once the OVD diagnosis is retained, it is essential to grade its severity into five degrees based on the FEV 1 [1,3].…”

mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 3 more Smart Citations

Defining and grading an obstructive ventilatory defect (OVD): ‘FEV₁/FVC lower limit of normal (LLN) vs. Z-score’ and ‘FEV₁ percentage predicted (%pred) vs. Z-score’

Kammoun

Ghannouchi

Rouatbi

et al. 2018

Libyan Journal of Medicine

View full text Add to dashboard Cite

show abstract

Pulmonary Impairment Rating

Blaisdell¹,

Talmage²,

Demeter³

2016

AMA Guides® Newsletter

View full text Add to dashboard Cite

Nonspecific spinal pain and intervertebral disc herniations are common, and in evaluating spinal impairment physicians should carefully assess the significance of imaging findings, physical examination findings, and reports of limb pain. A case example illustrates key principles in assessing cervical pain in an individual with questionable arm complaints. A 62-year-old man had a slip and fall injury. Imaging studies revealed degenerative disc disease with disc bulges and without specific disc herniations according to the radiologists, but his physician reviewed magnetic resonance imaging (MRI) films and reported multiple disc herniations. The case example illustrates the significance of the finding of degenerative disc disease, determining whether to rate for “soft tissue and nonspecific conditions” or “motion segment lesions,” and assessing “nonverifiable radicular complaints.” The authors note that cervical degenerative disc “disease” is more aptly a radiologic diagnosis reflecting aging rather than a clinical syndrome and does not necessarily imply that the degenerative disc disease is the cause of the pain. To distinguish between nonverifiable radicular complaints without objective evidence of radiculopathy and unreliable vague complaints involving the extremity, evaluators should determine that the complaints are consistently and repetitively recognized in medical records and that they lie in the distribution of a single nerve root that the examiner can name. The diagnosis of “intervertebral disc herniation” cannot be made, and instead the “nonspecific chronic pain” diagnosis can be used. Nor can the diagnosis of alteration of motion segment integrity be used because the case lacks radiographically documented instability.

show abstract

Suitability of Forced Expiratory Volume in 1 Second/Forced Vital Capacity vs Percentage of Predicted Forced Expiratory Volume in 1 Second for the Classification of Asthma Severity in Adolescents

Dalen

Harding²,

Parkin³

et al. 2008

Arch Pediatr Adolesc Med

View full text Add to dashboard Cite

show abstract

Interpretative strategies for lung function tests

Cited by 4,902 publications

References 150 publications

Defining and grading an obstructive ventilatory defect (OVD): ‘FEV₁/FVC lower limit of normal (LLN) vs. Z-score’ and ‘FEV₁ percentage predicted (%pred) vs. Z-score’

Defining and grading an obstructive ventilatory defect (OVD): ‘FEV₁/FVC lower limit of normal (LLN) vs. Z-score’ and ‘FEV₁ percentage predicted (%pred) vs. Z-score’

Pulmonary Impairment Rating

Suitability of Forced Expiratory Volume in 1 Second/Forced Vital Capacity vs Percentage of Predicted Forced Expiratory Volume in 1 Second for the Classification of Asthma Severity in Adolescents

Contact Info

Product

Resources

About

Interpretative strategies for lung function tests

Cited by 4,902 publications

References 150 publications

Defining and grading an obstructive ventilatory defect (OVD): ‘FEV1/FVC lower limit of normal (LLN) vs. Z-score’ and ‘FEV1 percentage predicted (%pred) vs. Z-score’

Defining and grading an obstructive ventilatory defect (OVD): ‘FEV1/FVC lower limit of normal (LLN) vs. Z-score’ and ‘FEV1 percentage predicted (%pred) vs. Z-score’

Pulmonary Impairment Rating

Suitability of Forced Expiratory Volume in 1 Second/Forced Vital Capacity vs Percentage of Predicted Forced Expiratory Volume in 1 Second for the Classification of Asthma Severity in Adolescents

Contact Info

Product

Resources

About

Defining and grading an obstructive ventilatory defect (OVD): ‘FEV₁/FVC lower limit of normal (LLN) vs. Z-score’ and ‘FEV₁ percentage predicted (%pred) vs. Z-score’

Defining and grading an obstructive ventilatory defect (OVD): ‘FEV₁/FVC lower limit of normal (LLN) vs. Z-score’ and ‘FEV₁ percentage predicted (%pred) vs. Z-score’