Body Mass Index and Clinical Outcomes in Persons Living With Cystic Fibrosis—Is Bigger Always Better?
Notice bibliographique
Résumé
Cystic fibrosis (CF) is the most common lethal genetic disorder in the White population, affecting nearly 100 000 individuals worldwide.1 Variations in the cystic fibrosis transmembrane conductance regulator (CFTR) gene leads to abnormal chloride and bicarbonate ion transport, propagating the hallmark of disease sequelae including impaired mucus hydration, abnormal clearance, and multiorgan involvement.2 Malnutrition has been frequently associated with CF by several mechanisms, including chronic airway infections, pancreatic insufficiency, and CF-related diabetes (CFRD).3 Furthermore, increased energy expenditure from chronic inflammation and advanced lung disease over time accentuates the trajectory of progression.Underweight status has been independently associated with adverse clinical outcomes in CF, including worsening lung function, morbidity, and mortality.3 Not surprisingly, CF management guidelines have focused primarily on attenuation of nutritional failure with recommendations to maintain a body mass index (BMI) above 22 (calculated as weight in kilograms divided by height in meters squared) in women and 23 in men. 4 While advanced efforts to promote adequate nutrition, including the use of pancreatic enzyme replacement therapy, CFTR modulators, and high caloric diets have reduced malnutrition in this population, over the past decade an increase of patients with CF who are overweight has emerged.Notably, a cross-sectional database analysis of 484 adults with CF found 25% of those with severe variations were overweight or obese.5 As the prevalence of obesity and overweight status becomes a greater concern, the emphasis on high-fat and high-carbohydrate diets for patients with CF is brought into question.Nagy et al 6 examined the association between BMI and clinical outcomes in CF through a large meta-analysis and systematic review.The group evaluated cohort studies, case series, and clinical trials that included patients with CF aged 2 years or older with altered body composition.While BMI is accepted as a marker of nutritional status, its flaws include the inability to distinguish between major components of body composition.Thus, the authors defined abnormal markers as elevated BMI, fat mass, and/or free-fat mass regardless of sex, the presence of transplant, CFTR modulator therapy, or other comorbidities.Given the limited studies available, the authors focused primarily on comparing patients of different BMI ranges as delineated by the World Health Organization by underweight (BMI<18.5),normal weight (BMI 18.5-24.9),overweight (BMI 25-29.9),and obese (Ն30).Primary outcomes of interested included forced expiratory volume in the first second of expiration (FEV 1 ) as a surrogate for lung function, presence of exocrine pancreatic insufficiency, and/or CFRD.Using both a qualitative (9114 patients and 61 records) and quantitative (3100 patients and 17 records) approach, the authors were able to analyze large cohorts of the population of interest.6 Notably, the mean (SD) BMI ranged from normal (18.5 [1.7]) to obese (34.8 [5.7) with 30% of the population evaluated including children.Most studies included FEV 1 as a marker of lung function with patients who were overweight or obese having superior lung function compared with those in the normal BMI category (82.96% vs 72.60%; weighted mean difference (WMD), -8.36%; 95% CI, -12.74% to -3.97% vs WMD, -12.06%; 95% CI, -23.91% to -0.22% respectively).Conversely, patients with underweight nutritional status had significantly lower FEV 1 across all age ranges (WMD, -19.12%; 95% CI, -23.53% to -14.71%).With regards to pancreatic function status, normal BMI was associated with a higher likelihood of exocrine pancreatic insufficiency compared +
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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 | 0,002 | 0,015 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,007 | 0,008 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,002 |
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 ».