Assessing the Stability of the Healthy Never-smoking Subgroup Over 12 Years and Its Effect on Reference Equations for Lung Function in a Prospective Cohort Study: The Multi-ethnic Study of Atherosclerosis Lung Study
Notice bibliographique
Résumé
Abstract Rationale. Reference ranges for tests of pulmonary function have been defined upon their distribution in cross-sectional samples of “healthy” participants since the mid-Nineteenth Century. Currently, “healthy” participants are defined as participants recruited from the general population without respiratory symptoms or diseases and without a smoking history. However, reporting of all these factors is known to be imprecise. To better understand the variability of this approach, we investigated the stability of a “healthy” sample over 12 years in a prospective, population-based cohort study. Methods. The Multi-Ethnic Study of Atherosclerosis (MESA) recruited a multiethnic sample of participants ages 45-84 free of clinical cardiovascular disease in 2000-02. The MESA Lung Study performed standardized spirometry in 2004-07, 2010-11, and 2016-18. We defined subpopulations of healthy normal never-smoking participants at each exam in which spirometry was measured according to: self-reported history of never smoking; self-reported absence of respiratory diseases; and self-reported absence of respiratory symptoms (wheezing, persistent cough, phlegm production, and breathless walking on level ground). Stability of the sample over time was assessed with the Kappa statistic. For each exam, we used the healthy never-smoking group to derive sex-stratified reference equations for pre-bronchodilator forced expiratory volume in 1 second (FEV1) by linear regression with predictors of age and height2. Lower limits of normal (LLN) FEV1 were calculated as predicted FEV1-1.645[asterisk]standard error of the estimate, with age=70 years and height=158 cm and 172 cm for female and male, respectively. Results. There were 1,101 (26%) healthy normals of 4,272 participants at baseline (28% White, 20% Black, 22% Hispanic, 30% Asian), 1,075 (34%) of 3,200 at first follow-up, and 614 (24%) of 2,597 at second follow-up. Of 1,863 participants who participated in all three exams, 299 were labeled healthy normal in all exams, 278 were healthy normal in two of three exams, and 188 were healthy normal in only one exam (κ=0.60 across the three exams). Of the 1,129 who reported no symptoms at second follow-up, 32% had reported at least one symptom in at least one previous exam. The different healthy normal groups led to estimates of LLN FEV1 that varied across exams by 60-90 mL (female: 1,356-1,419mL, SD=34; male: 1,963-2,053mL, SD=29). Conclusions. The healthy normal never-smoking sample in a longitudinal cohort study was only moderately stable over time, with modest implications for the estimation of the LLN. These findings raise further questions about the current, cross-sectional approach to the definition of normal pulmonary function.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,030 | 0,049 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».