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Enregistrement W3164049781 · doi:10.1186/s13054-021-03600-x

When should we start renal-replacement therapy in critically ill patients with acute kidney injury: do we finally have the answer?

2021· article· en· W3164049781 sur OpenAlexaff
Sean M. Bagshaw, Eric A. J. Hoste, Ron Wald

Notice bibliographique

RevueCritical Care · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Kidney Injury Research
Établissements canadiensUniversity of TorontoSt. Michael's HospitalUniversity of AlbertaAlberta Health Services
Organismes subventionnairesnon disponible
Mots-clésMedicineRenal replacement therapyCritically illAcute kidney injuryIntensive care medicineInternal medicine

Résumé

récupéré en direct d'OpenAlex

A significant proportion of critically ill patients with severe AKI, particularly those who develop refractory complications [ 1 ], receive support with renal-replacement therapy (RRT) [ 2 ]. There has been a longstanding dilemma on when RRT should be started for patients with severe AKI, specifically among those without AKI-related complications that could be addressed by RRT. Among patients with urgent or refractory complications, there is consensus for starting RRT. However, should RRT be started earlier in the course of AKI to pre-empt complications or judiciously delayed and started if and when complications arise? Furthermore, clinicians are challenged to select those patients who will have high probability of clinical benefit (restore metabolic/fluid homeostasis) and improved outcome (survival, recovery, quality of life) and to avoid RRT in patients who do not need it, will not benefit from it or who have greater probability of experiencing harm from it. Several randomized trials have shown that an earlier strategy for starting RRT does not confer a survival advantage, can increase the risk of harm (dialysis dependence [ 3 ], bacteremia [ 4 ]) and portend greater resource use compared with a “watch-and-wait” or delayed strategy [ 3 , 4 , 5 ]. These trials now support the broad notion that deferral of RRT, pending the development of urgent indications, should be adopted as the default strategy. The rationale for a “watch-and-wait” approach is to provide opportunity to observe for recovery and to avoid RRT in selected patients [ 3 , 4 , 5 ]. However, the variables that define “deferral” remain uncertain. Specifically, when confronted with patients who have severe and non-resolving AKI, for how long can deferral be considered safe and acceptable? This was addressed by the recent Artificial Kidney Initiation in Kidney Injury-2 (AKIKI-2) trial [ 6 ]. AKIKI-2 was a multi-centre trial comparing two strategies for delayed RRT initiation in 278 patients. Similar to AKIKI, patients fulfilled criteria for Stage 3 AKI and were receiving either mechanical ventilation and/or vasopressors. However, where AKIKI-2 differed is that eligibility specified a protracted AKI course, defined by oligo-anuria for ≥ 72 h and/or a serum urea 40–50 mmol/L (112–140 md/dL). Upon fulfilling these criteria, patients were randomized to “ delayed ” RRT (aligned with the delayed strategy of AKIKI [ 4 ]) started within 12 h of randomization or “ more-delayed ” RRT, defined by deferring RRT until an urgent indication emerged or serum urea exceeded 50 mmol/L (140 md/dL). Oligo-anuria was not a trigger for RRT in the more-delayed strategy. The primary outcome was “days-alive and RRT-free” from randomization through 28 days, conditional on patients being alive and RRT free for 3-consecutive days. RRT-free days did not differ between the strategies. There were also no differences in secondary endpoints, including ventilator-free days, ICU stay or kidney recovery. In a pre-specified analysis, allocation to the more-delayed strategy was found to increase the hazard of death (adjusted-HR 1.65) compared with the delayed strategy. Inherent in the AKIKI-2 design, it was hypothesized that the more-delayed strategy would increase in RRT-free days. It is therefore notable that RRT-free days were not greater with the more-delayed strategy, despite fewer patients receiving RRT and when initiated, occurring ~ 2 days later, when compared with the delayed strategy. As such, the likely driver of the primary outcome was higher mortality with the more-delayed strategy. This could have plausibly been driven by several factors, such as the effects of prolonged untreated AKI, exaggerated non-renal organ dysfunction (e.g., delirium [ 7 ]) and modified recovery from critical illness [ 8 ]. The protocol embedded precautions to prevent intra-dialytic hypotension and dialysis-disequilibrium syndrome, but these events were not reported. Finally, small and unblinded trials would be susceptible to biased co-interventions, such as withdrawal of life-sustaining treatments. AKIKI-2 is applicable to a small proportion of patients with AKI. Of the 5,336 patients screened, only 767 (14.4%) fulfilled the initial eligibility. Of the 4,466 initially excluded, 42.9% failed to achieve Stage 3 AKI and many were excluded for urgent indications (13.5%) or prior RRT (6.8%). Moreover, of those with Stage 3 AKI who were excluded, 127 (26.0%) developed an urgent indication after a median (IQR) of 35 (17–68) hours and received RRT, while the remainder did not fulfil randomization criteria. Similar to AKIKI, AKIKI-2 again suggests that serum urea as a primary trigger is not ideal for identification of the optimal timing of RRT, regardless of the thresholds evaluated [ 9 ]. First, serum urea was not useful for identifying patients with an increased mortality risk [ 10 ]. We currently lack robust data on serum urea thresholds that constitute toxicity. Rather than a specific threshold, the duration of elevated serum urea may be a better surrogate for the development of uremic-related complications. Second, serum urea is influenced by a range of factors other than impaired excretion, including excess protein catabolism, corticosteroid administration, exogenous protein or gastrointestinal bleeding and volume contraction. Finally, the thresholds of serum urea did not discriminate patients with urgent indications for RRT: 16.6% of Stage 3 AKI patients had urgent indications developed prior to the delayed criteria being fulfilled, and 33% of patients in the more-delayed strategy developed urgent indications prior to the protocolized serum urea threshold (> 50 mmol/L) was fulfilled. AKIKI-2 highlights the need for robust and validated tools that discriminate between patients with AKI who are most likely to need and benefit from starting RRT from those in whom it can or should be avoided. Such tools include clinical prediction by machine learning [ 11 ], predictive enrichment with AKI sub-phenotypes, use of the furosemide stress test and emerging biomarkers of persistent severe AKI [ 12 ]. Recent evidence has shown that pre-emptive or earlier RRT in patients with severe AKI and no urgent indications does not confer clinical benefit. By default, this would imply that a more judicious “watch and wait” strategy is acceptable. The findings of AKIKI-2 reinforce that there are limitations and harm to protracted delays in RRT initiation in patients with severe and persistent AKI [ 6 ]. Clinicians are bound to remain challenged by a lack of clarity on the optional circumstances to initiate RRT until additional evidence emerges. In the meantime, such uncertainty should not negate the importance of sound patient-centred practice grounded in the available evidence (Fig. 1 ). Clinicians should integrate an individual patient’s evolving critically illness, their dynamic response to interventions, the trajectory of AKI and likelihood for recovery, and importantly, patient and family preferences for care. Proposed algorithm for starting renal-replacement therapy for critically ill patients with moderate-to-severe acute kidney injury (adapted from [ 13 , 14 ]). *Urgent indications include fluid overload (PaO2/FiO2 < 200 plus clinical perception); metabolic acidosis (pH < 7.20 or HCO3 < 12 mmol/L; hyperkalemia (K ≥ 6.0 mmol/L); and/or complications attributable to uremia (bleeding; encephalopathy; pericarditis)

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,011
score de la tête « metaresearch » (Gemma)0,081
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
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 enseignants0,016
Score d'incertitude au seuil0,058

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0110,081
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0050,003
Bibliométrie0,0010,001
Études des sciences et des technologies0,0040,004
Communication savante0,0110,019
Science ouverte0,0030,003
Intégrité de la recherche0,0160,036
Charge utile insuffisante (le modèle a refusé de juger)0,0110,006

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 Opus0,041
Tête enseignante GPT0,357
Écart entre enseignants0,316 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
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

Citations6
Publié2021
Routes d'admission1
Résumé présentnon

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