Renal transplant recipient attitudes toward steroid use and steroid withdrawal
Notice bibliographique
Résumé
Although steroid avoidance and withdrawal in renal transplant recipients (RTR) are actively being evaluated by physicians, the attitudes of recipients toward steroid use have not been systematically studied in the modern era. We conducted a confidential written survey of single-organ adult RTR pertaining to prednisone-related side-effects. Recipients were asked which drug they felt maximized graft life, which drug they wished to avoid if graft life was unaffected, and which drug they had most compliant with. They also rated 16 common immunosuppressive-related side-effects on a Likert scale with 1 meaning complete disagreement and 10 complete agreement with their own prednisone-attributed experience. A comparison of responses based on RTR demographic characteristics was made by ANOVA or chi-square analysis with Bonferroni correction. The questionnaire was completed by 223 recipients, of whom 93% were primary recipients, 57% were cadaveric organ recipients, and 69% were white people, 7% black people, and 23% Asian people. Age at transplant, age at survey and time since transplant were 41.5 +/- 11, 47.5 +/- 11 and 6.0 +/- 5 yr, respectively. For the entire group, overall side-effect profile for prednisone was rated as 6.1 +/- 3 on the Likert scale, while efficacy was rated as 7.3 +/- 3. If offered monotherapy, 67% preferred a calcineurin-inhibitor (CI), 23% mycophenolate mofetil (MMF)/azathioprine (AZA), and 10% prednisone. When asked which drug they would like to discontinue, 19% chose CI, 16% MMF/AZA, and 65% prednisone. Most recipients felt that CI was the most efficacious drug (80%), followed by MMF/AZA (12%), and prednisone (8%). The side-effects reported as most common were unacceptable weight gain (5.8 +/- 3) and bone/joint disease (5.3 +/- 3). The least common side-effects were blood disorders (2.2 +/- 2) and cancer (2.3 +/- 2). Black people were more likely than non-black people to report developing diabetes (p = 0.02), blood disorders (p = 0.003) and headaches (p = 0.003) as a result of prednisone use. Males reported more liver damage (p = 0.01) while females reported more body fat (p = 0.01) and fluid retention (p = 0.006). RTR >5 yr post-transplant reported more infections (p = 0.008), skin/hair problems (p = 0.02), gastrointestinal irritation (p = 0.02), and bone disease (p = 0.02) compared with RTR <1 yr. Donor source and recipient age did not determine any responses. If given a 'risk-free' choice, the majority of recipients prefer withdrawal of steroids over other agents. Demographic data may be used to predict prednisone-related side-effects and guide steroid use in this population. Study designs related to steroid withdrawal should account for patient preferences in this context.
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 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 | 0,008 |
| 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 | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».