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Enregistrement W2962776364 · doi:10.1002/lt.25612

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2019· letter· en· W2962776364 sur OpenAlexaff
Florence Wong, K. Rajender Reddy, Jacqueline G. O’Leary, Guadalupe García–Tsao, Patrick S. Kamath, Jasmohan S. Bajaj

Notice bibliographique

RevueLiver Transplantation · 2019
Typeletter
Langueen
DomaineMedicine
ThématiqueLiver Disease and Transplantation
Établissements canadiensToronto General HospitalUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésMedicineCirrhosisMallinckrodtHepatorenal syndromeAscitesRenal functionKidney diseasePopulationIntensive care medicineInternal medicineGastroenterologyFamily medicine

Résumé

récupéré en direct d'OpenAlex

Florence Wong receives research grants from Mallinckrodt Pharmaceuticals. Jasmohan S. Bajaj receives research grant support from Grifols USA. K. Rajender Reddy advises for Merck and Co., Gilead Sciences, Shiongi Inc., Dova Pharmaceuticals, and Spark Therapeutics and receives unrestricted research grants from Merck and Co., Gilead Sciences, Intercept Pharmaceuticals, Mallinckrodt Pharmaceuticals, Conatus Pharmaceuticals, and Exact Sciences (paid to the University of Pennsylvania). Jacqueline G. O’Leary consults for Mallinckrodt Pharmaceuticals. To the Editor: Thank you to Dr. Kumar for his interest in our recent publication on the prevalence of chronic kidney disease (CKD) in patients with cirrhosis admitted into the hospital.1 It is indeed true that most efforts for assessing renal function in cirrhosis have been concentrated on studying acute kidney injury (AKI) because this condition has an immediate negative impact on the prognosis of these patients. It is for this reason that we wanted to report on the emerging problems that CKD is going to pose to the population of patients with cirrhosis, especially in sick patients with decompensated cirrhosis admitted into the hospital. Chronic renal failure in cirrhosis used to be defined by a serum creatinine of >1.5 mg/dL2 and was synonymous with hepatorenal syndrome type 2 (HRS2), which is the form of functional renal failure most commonly observed in patients with cirrhosis and ascites in whom renal function slowly deteriorates over weeks to months. However, this is no longer the case because clinicians caring for patients with liver cirrhosis recognized that the rising prevalence of obesity and nonalcoholic steatohepatitis and the association of diabetes among these patients have led to a significant increase in patients with renal impairment that is not necessarily related to HRS2. This finding has led the International Club of Ascites to propose a change in the definition of renal failure in cirrhosis,3 with CKD encompassing both functional and structural renal diseases that produce a chronic reduction in glomerular filtration rate (GFR). CKD was defined as a chronic reduction in GFR of <60 mL/minute for >3 months calculated using the Modification of Diet in Renal Disease (MDRD)–4 variable formula.3 The group recognized that the MDRD4 formula tends to overestimate the GFR and, therefore, may falsely provide reassurance to the clinicians. However, they also acknowledged that it was the most practical formula to use. Although the definition of AKI in cirrhosis has been updated,4 the definition for CKD has not been modified since its original publication. Therefore, we wholeheartedly agree with Dr. Kumar that there is an urgent need to perform studies to delineate what proportion of CKD in cirrhosis is due to HRS2 and what proportion is related to structural renal damage due to, for example, conditions such as diabetes. By accepting that CKD is a generic term that is inclusive of all cases of reduced renal function, be it functional or structural, it is not surprising that the prevalence is 46.8%. Because the MDRD formula overestimates the GFR, the actual prevalence of CKD may be even higher. There may be many reasons for this result. First, this study reports on the prevalence of CKD among hospitalized patients with cirrhosis with complications, who, by virtue of the fact that they had more advanced liver disease and were sicker, were more likely to have renal dysfunction. Second, the definition of CKD has changed from using a threshold of serum creatinine of 1.5 mg/dL to that of a GFR of <60 mL/minute for more than 3 months. This new definition would include many patients with a serum creatinine within the normal laboratory range5 due to their cachexia and low muscle mass and, therefore, low serum creatinine levels, thereby inflating the prevalence of CKD. Third, the prevalence of nonalcoholic fatty liver disease is significantly higher in North America than in the rest of the world,6 and one would expect the prevalence of CKD to increase in parallel given the association with diabetes and, therefore, diabetic nephropathy. It should be pointed out that a similar high prevalence of CKD has been reported in other populations of patients with cirrhosis: 31% of patients wait‐listed for liver transplant7 and 45%‐46% of outpatients with cirrhosis regardless of whether the MDRD4, the MDRD–6 variable formula, or the Chronic Kidney Disease Epidemiology Collaboration formula was used to calculate the GFR.8 The definition of CKD using a GFR of <60 mL/minute for >3 months is to alert clinicians that there is reduction in renal function, and we believe that this definition should remain. The appropriate action is not to redefine CKD. Rather, it is important to delineate the various phenotypes that make up this condition called CKD because each phenotype will require a different treatment plan. The Kidney Disease Improving Global Outcomes (KDIGO) organization has subdivided CKD patients into those with or without kidney damage, as indicated by either pathological abnormalities, or blood or urine tests or imaging confirmation of kidney damage. Those patients with or without kidney damage are further subdivided according to the presence or absence of systemic hypertension.9 Clearly, these subdivisions of CKD will not work for patients with cirrhosis. Therefore, it is incumbent upon hepatologists to further study the various phenotypes of CKD in cirrhosis so that we can devise appropriate treatment strategies for these patients.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,047
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,002

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.

Tête enseignante Opus0,016
Tête enseignante GPT0,238
Écart entre enseignants0,222 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2019
Routes d'admission1
Résumé présentoui

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