Lung-Retained Asbestos Fibre Analysis: Trends Over 25 Years in One Institution and Their Implications
Notice bibliographique
Résumé
SAB2-O-07 Introduction: Lung-retained asbestos, as light-microscopic asbestos “bodies” (AB) and as electron microscope ascertained asbestos fiber (AF) analysis, was the first exposure biomarker. It began in the 1950s with counts of AB and reached maximum use in the 1990s with AF used in cohort and case-control studies. Methods: A 25-year experience in one university setting, using analyses of AB and AF representing general populations; environmental, domestic, and occupational exposures; “sentinel” animal data; and exposure assessment in epidemiologic cohorts and case-referent studies of mesothelioma, was assessed. Asbestos lung content was by 2006 evaluated in several thousand individuals on 4 continents. Methods were identical over time and results were available for all categories of AF length, width, aspect ratio, and chemistry as well as AB quantities. Time trends were assessed to determine important uses for asbestos-related exposure and disease. Results: The following trends were identified: Lung AF, and to a lesser extent AB, are declining over time. We find this to be true not only in the general population and to populations of individuals with the 3 common asbestos-related diseases (lung cancer, mesothelioma, and asbestosis). The latter finding may make the procedure less useful in future determinations of risk attribution and compensation hearings. The findings also suggest increased clearance of all fiber types. This may explain recent reports of past overestimation of future mesothelioma risk, especially in the Netherlands, Norway, Sweden, and Australia. AF and AB have consistently outperformed other indices of exposure as indicators of risk and radiologic change. This was especially true in application of our data to workers at a vermiculite mine in Libby, Montana, where we find that even asbestos bodies in sputum predict radiologic extent of asbestosis more accurately than do historical estimates of cumulative exposure derived from work histories. AF and AB analysis have identified environmental risk where it was missed by conventional air measurements. One example is our identification of high concentrations of tremolite asbestos in animals near natural asbestos deposits in the Western Slope of the Sierra Mountains in California. In North America, there has been a shift over time from crocidolite to amosite as the principal fiber associated with mesothelioma risk. Tremolite from natural sources has become increasingly important over all continents. Conclusions and Discussion: The results illustrate both the past and the future of biologic markers of exposure. Trends suggest that AF and AB will be less useful for occupational assessment, due to declining concentrations. On the other hand, the observations suggest greater clearance (including amphibole clearance) than was hitherto appreciated, and fit well the recent observations of Berry et al in Wittenoom (Australia) crocidolite miners. The already observed decrease in predicted mesothelioma cases is likely to accelerate as a result. Our findings are useful for contemporary environmental risk assessment in that, unlike past exposures, these exposures are ongoing and indeed current. The result has been that we can detect these exposures in at-risk populations either through sentinel animals (as in our observations in California) or directly in autopsy samples of general populations.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».