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Enregistrement W2163239734 · doi:10.2215/cjn.07210714

A Policy of Preemption

2014· letter· en· W2163239734 sur OpenAlexaboutno aff
F. Perry Wilson

Notice bibliographique

RevueClinical Journal of the American Society of Nephrology · 2014
Typeletter
Langueen
DomaineMedicine
ThématiqueDialysis and Renal Disease Management
Établissements canadiensnon disponible
Organismes subventionnairesNational Institute of Diabetes and Digestive and Kidney Diseases
Mots-clésMedicinePreemptionIntensive care medicine

Résumé

récupéré en direct d'OpenAlex

Beliefs about when to initiate dialysis in patients with AKI are passionately held by nephrologists, and are—on the whole—unsupported by reliable evidence. Indeed, it may be the very lack of high-quality evidence that gives rise to such impassioned belief systems. It is commendable that the nephrology community has recognized that addressing this lack of evidence should be a major target of research (1). Unfortunately, this research effort has been hindered by a lack of consensus on exactly what the “timing issue” is. Two main issues hamper research in this area. The first is the tendency for researchers to cast the clinical question in the context of “early” versus “late” dialysis. This thinking inaccurately parallels efforts to define the appropriate initiation of dialysis in the CKD population. In advanced CKD, there is a sense (though it may be misplaced) of the inevitability of dialysis. In that setting, the question of whether to start early, perhaps with an eGFR>10 but <15 ml/min per 1.73 m2, versus later, has intuitive appeal (2). In AKI, however, dialysis may not be inevitable. Indeed, a recent study of post–cardiac surgery patients revealed that of those who achieve AKI Network stage 1, only 12% progressed to a higher stage, and of those only 33% went on to receive dialysis (3). Thus, the decision to not initiate dialysis does not merely put off the therapy for some period of time; it may obviate the therapy entirely. Any study that attempts to address the timing question must therefore vociferously acknowledge that patients who do not receive dialysis “early” may recover, or die, without ever receiving dialysis “late.” The second major issue is a lack of consensus over what the definition of early is. Studies using RIFLE, AKI Network, or Kidney Disease Improving Global Outcomes AKI severity scores have, in general, favored initiation of RRT in the lower stages (4,5). Studies examining time from intensive care unit (ICU) admission are more varied but seem to suggest a benefit to initiation earlier in the ICU course (6–8). Data from the Program to Improve Care in Acute Renal Disease study suggests that outcomes of RRT are superior when the therapy is initiated at a lower BUN (9), although other cohorts have not found a similar relationship (10). Perhaps revealing the critical nature of the definition of “early,” an analysis of the Beginning and Ending Supportive Therapy for the Kidney study revealed that patients who received RRT earlier relative to ICU admission fared better than those who received RRT later. However, when this same population was stratified along the median creatinine at initiation, those initiated at a higher creatinine had improved outcomes. Stratification by BUN had no effect (11). In this issue of CJASN, Vaara et al. (12) shed light on the timing question by defining a set of classic indications for RRT in AKI, including hyperkalemia, acidosis, and volume overload. Using data from the FINNAKI study (13), a prospective, multicenter ICU cohort study in which 33.7% of 2901 patients developed AKI, the authors identify four groups of individuals: those who received RRT within 12 hours of developing conventional indications, those who received RRT >12 hours after developing conventional indications, those who received RRT before conventional indications, and a propensity-matched group of individuals who never received RRT. In terms of 90-day mortality, pre-emptive RRT appeared to be the most effective treatment strategy (the mortality rate was 26.9% compared with 48.5% among those who received RRT for conventional indications). Prior studies have been limited by the absence of a control group. As mentioned earlier, the salient question is not whether dialysis should be initiated early or late but rather early or not early. This requires the identification of a group of individuals who could reasonably receive dialysis, but didn’t: a tall order for any observational cohort. In the absence of an adequate control, we must constantly wonder if the “early” group, by whatever definition, actually needed dialysis at all. Indeed, if we imagine a world in which all hospitalized patients receive dialysis on admission, we would expect outcomes to be much better than the current state of affairs where only the most ill patients receive the therapy. Vaara et al. use a propensity score–based matching strategy to overcome this limitation, a technique employed by a few other groups, including our own (14,15). While we did not find a benefit to early initiation of dialysis (rather, we found that dialysis was preferable to no dialysis when initiated among those with higher serum creatinine concentrations), we did not use the same definition of “early.” In the current manuscript, the “classic” indications defined by Vaara et al. are appealing in their breadth, but they may not translate easily into clinical practice. Indeed, when confronted with a patient with AKI, classic indications may already exist (the median time from ICU admission to RRT indication was 0.5 hours). If we are lucky enough to find a patient with AKI and no classic indications, we would be forced to base our dialysis decision on whether we believe this patient might have similar properties to those that were used to create the propensity-matched cohort. Vaara et al. do not imply, of course, that all ICU patients with AKI should be dialyzed, nor do they identify specific factors (outside of classic indications) that may be reasonable indications. Moving forward, though, we must improve our ability to choose who should receive this therapy. A randomized trial is an appealing solution to this problem, and several attempts have been made; however, these were underpowered to detect clinically relevant outcomes (16–18). There exist two active trials of dialysis timing in AKI. The Standard versus Accelerated Initiation of RRT in AKI (STARRT-AKI) trial has enrolled 100 critically ill patients with a doubling of serum creatinine and oliguria or an elevated plasma neutrophil gelatinase–associate lipocalin level at 12 centers across Canada (19). Participants were randomly assigned to receive RRT within 12 hours of fulfilling criteria or to usual care. While the primary outcome was protocol adherence, the study will also examine 90-day mortality in both groups. The Initiation of Dialysis Early Versus Delayed in the Intensive Care Unit (IDEAL-ICU) study plans to enroll 864 patients with septic shock meeting RIFLE stage F across 24 ICUs in France (20). Patients will be randomly assigned to receive RRT within 12 hours of meeting eligibility criteria or to RRT 48–60 hours later. Although the investigators have operationalized a definition of “renal recovery” that will allow patients randomly assigned to the delay group to avoid the treatment, the clear preference is that dialysis be performed in most trial participants. These trials may finally shed light on the bedeviling timing question, but they are really only a beginning. STARRT-AKI, while novel in its use of a biomarker as a potential inclusion criteria, is underpowered to detect significant outcome differences in the two groups, and (by enrolling individuals with only a doubling of creatinine) may have a significant nondialysis rate in the control group. Conversely, the IDEAL-ICU study seems to demand that all patients receive some type of RRT, which may not follow clinical practice in which a “watchful waiting” approach is commonly used (21). When the decision to start RRT is ambiguous, I am often asked “why not.” Indeed, the overarching trend over time seems to be toward earlier and more continuous dialysis (22). This question speaks to a misunderstood risk-benefit calculus. Like all clinical decisions, the decision of whether to initiate dialysis depends on an appropriate assessment of the risks and benefits of the therapy. But given the paucity of randomized trials of dialysis in AKI, we do not have reliable estimates of risk. Instead, we rely on a general intuition that the benefit of RRT is (for some patients at least) obvious and the risk is minimal. It is possible that we are harming patients with RRT, through either the induction of hypotension or exposure to foreign materials such as catheters and the dialysis membrane itself (23,24). But these risks are often minimized when the discussion of dialysis initiation is breached. It’s clear that this type of thinking will increase resource utilization and costs, especially in the critically ill (25). There seem to be three approaches available at this point: (1) Perform an extremely large clinical trial, adequately powered to detect outcomes of clinical import, such as mortality, and with enough patients to perform rational subgroup analyses employing various timing criteria; (2) perform multiple smaller clinical trials with extremely carefully defined inclusion criteria; and (3) reconsider our definition of AKI. Although they aren’t ready for broad clinical use, biomarker panels may provide the best window into the physiology of AKI and are increasingly being studied (26–28). Beyond biomarker assays, simply improving prediction rules based on readily available clinical data may allow us to identify a population likely to progress, thus obviating the concern that early RRT will inevitably give treatment to those who might never require it. Full disclosure: I believe that prompt and prophylactic initiation of RRT is beneficial for certain patients. Unfortunately, I am not sure who those patients are. I remain concerned that the biased evidence favoring early RRT may be putting some patients in harm’s way who would otherwise recover on their own. Disclosures 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 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)0,029
score de la tête « metaresearch » (Gemma)0,059
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: aucune
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,062
Score d'incertitude au seuil0,206

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0290,059
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0010,001
Études des sciences et des technologies0,0060,013
Communication savante0,0130,018
Science ouverte0,0040,010
Intégrité de la recherche0,0240,032
Charge utile insuffisante (le modèle a refusé de juger)0,0620,012

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 Opus0,045
Tête enseignante GPT0,376
Écart entre enseignants0,331 · 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
GenreÉditorial

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

En bref

Citations7
Publié2014
Routes d'admission1
Résumé présentoui

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