A96 PERIOPERATIVE RATE OF CHANGE IN SODIUM CONCENTRATION AND ITS IMPACT ON LENGTH OF STAY IN CRITICAL CARE UNIT POST LIVER TRANSPLANTATION: BENCHMARKING FOR QUALITY MANAGEMENT PROGRAM
Notice bibliographique
Résumé
Abstract Aims The aim of this quality improvement project was to benchmark the rate of change in serum sodium (delta-Na) in the perioperative period for liver transplantation (OLT) to correlate it with neurological complications as well as length of stay in critical care unit. Methods Data for total of 46 patients who underwent liver transplantation in Halifax between January 2015 and December 2016 were extracted from Atlantic Multi-Organ Transplant Program and QEII-HSC Information Systems. Pre-operative, immediate post-operative and 24–48 hours post-operative serum sodium concentrations were entered into EXCEL worksheet. In addition post-transplant neurological complications were identified in addition to length of stay in critical care unit. Results During the review period, 23 males and 23 females underwent OLT. Their mean age was 56 yrs (ranging from 23 - 70 yrs). The primary indication for transplantation was cirrhosis (57%) and hepatocellular carcinoma (35%). Fatty liver disease was most common etiology for cirrhosis (46%), followed by PBC (27%), Alcohol-related (15%). Average natural MELD-Na score was 20 (with a range from 7 – 41). Average OR time was 7hr 23min (range 4hr 15min – 15hr). In 22% of patients, the rate of delta-Na levels were rapid (more than 8 mEq/L) between the pre-operative and immediate post-operative period. Only 2% of patients had more than 8 mEq/L change in their serum sodium levels between the first and second post-operative days. Prior to OLT 21 (46%) patients had hepatic encephalopathy but this was mild or controlled in the majority of patients. In 8 (17%) patients there was multiple-etiology encephalopathy/delirium in the post-operative period. None of these patients developed neurological deficits. Only in 3 patients, tremors were documented (probably multifactorial including calcineurin-inhibitor toxicity). In this project, none of these findings correlated with a high rate of delta-Na. The average number of days in critical care unit was 6 (range 1 – 62 days). There was no clear correlation between length of stay (surrogate marker for neurologic complications) and rate of delta-Na. Conclusions In this benchmarking project, we were unable to identify a specific cut-off rate for delta-Na to correlate with either neurologic complication or length of stay in critical care unit. Rapid correction of serum sodium is often associated with various neurologic complications including central pontine myelinosis. Larger data-base with more numbers of liver transplant patients are needed to show any significant relationship and optimize the electrolyte and volume management. Rapid change in serum sodium could not help with our attempt to classify this benchmarking metric into one of four categories: productivity, quality, time and cost-related. Funding Agencies NoneKEVORK M PELTEKIAN
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 | 0,009 | 0,017 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,003 | 0,003 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».