A129 THE VALUE OF REPEAT MANOMETRIC TESTING
Notice bibliographique
Résumé
Abstract Background While motility disorders may evolve over time, there is scant guidance around the role of repeat high-resolution esophageal manometry (HRM). Given the invasive nature of HRM and the implications on financial cost and patient discomfort, it is obvious that the emphasis should be on minimizing unnecessary repeat examinations. However, there are no recommendations around indications or timing of repeat HRM. Aims We aimed to determine the outcomes in patients who underwent repeat manometry and look for predictors of progression to achalasia or major motility disorder. Methods Consecutive reports from HRM studies performed between Aug 2013 – May 2017 were retrospectively analyzed. All patients with ≥ 2 HRM studies were included. Studies without a Chicago classification diagnosis were excluded. Chi-squared analysis was performed to determine if initial HRM diagnosis was associated with change in diagnosis on follow-up HRM. Initial and follow-up manometric parameters were compared with paired T-tests. Binary logistic regression analysis was performed to look for predictors of progression to achalasia or major motility disorder. Results 134 patients underwent ≥ 2 HRM studies. Initial diagnoses were IEM (45 patients [33.6%], EGJOO (34 [25.4%], absent peristalsis (18 [13.4%], achalasia (11 [8.2%], DES (4 [3.0%]), and JH (3 [2.2%]; 29 (14.2%) of patients had a normal HRM. 109 (81.3%) patients underwent 2 HRM, 18 (13.4%) 3 HRM, 4 (3%) 4 HRM, and 3 (2.2%) 5 HRM. The final follow-up HRM occurred after a median 496 [80 – 1823] days. 72 (53.7%) of patients had no change from their initial diagnosis. Patients with an initial diagnosis of DES were significantly more likely to have a change in diagnosis on the final follow-up (3 normal:1 IEM) (p = .043). No other classes reached significance. Patients with IEM had a significantly higher mean DCI (395.1 [0 - 3248] vs 790.8 [0 – 10715.0], p = .006) and IRP (4.5 [-10.4 – 14.2] vs [6.6 [-6.2 – 21.0], p = .017) on their follow-up HRM. 4 patients without achalasia (3 EGJOO:1 IEM) on their index HRM had a diagnosis of achalasia on their final HRM. The median IRP in non-achalasia patients with a diagnosis of achalasia on final HRM (22.3 [8.4 – 30.7] was significantly higher than those without a diagnosis of achalasia on final HRM (6.6 [-10.4 – 39.8]) (p = .013); however no manometric criteria or initial HRM diagnoses predicted progression to achalasia or major motility disorder on binary logistic regression analysis. Conclusions In most patients, repeat manometry did not change the manometric diagnosis. Patients with DES were significantly likely to have their diagnosis change with repeat HRM, and most of these patients had normalization of their HRM. Manometric parameters in IEM appear to improve over time. This finding could reflect interval therapy, or shed some light on the natural history of this disease. Funding Agencies None
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 | 0,001 | 0,008 |
| 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 | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
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 ».