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Enregistrement W2133642647 · doi:10.2215/cjn.00500114

AKI

2014· letter· en· W2133642647 sur OpenAlexaff
Matthew T. James, Ron Wald

Notice bibliographique

RevueClinical Journal of the American Society of Nephrology · 2014
Typeletter
Langueen
DomaineMedicine
ThématiqueAcute Kidney Injury Research
Établissements canadiensUniversity of TorontoSt. Michael's HospitalUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésMedicineAcute kidney injuryRenal functionIncidence (geometry)Myocardial infarctionCreatinineKidney diseasePopulationInternal medicineObservational studyIntensive care medicineVeterans AffairsEmergency medicine

Résumé

récupéré en direct d'OpenAlex

AKI is a common syndrome, with a population-based incidence estimated to have grown from 3000 to >5000 episodes per million person-years during the past 2 decades in the United States (1). The immediate prognostic implications of AKI are well established and include prolonged hospitalization, the need for acute RRT, and high mortality. The increasing incidence of AKI, coupled with the fact that adjusted hospital mortality has decreased by approximately 60% among patients with the condition, has increased the number of individuals discharged from the hospital after experiencing an episode of AKI. This has raised questions as to whether AKI may have long-term health implications. Although most survivors of AKI have partial or complete recovery of kidney function by the time of hospital discharge (2), several recent observational studies examining the long-term course of AKI suggest that outcomes can encompass a spectrum that includes progressive loss of kidney function, CKD, and ESRD (3). This suggests that individuals who survive an episode of AKI may also be at risk of downstream complications of CKD, including cardiovascular events and late mortality. In this issue of CJASN, Chawla et al. compare subsequent mortality, cardiovascular, and kidney outcomes between individuals hospitalized with myocardial infarction (MI), AKI, and the combination of MI and AKI (4). They studied 36,980 patients hospitalized in the US Department of Veterans Affairs with primary discharge diagnoses of AKI or MI, mean baseline eGFR≥45 ml/min per 1.73 m2, and serum creatinine measurements both before and during admission. Using combinations of International Classification of Diseases Ninth Revision-Clinical Modification codes for MI and AKI, augmented with serum creatinine measures to define AKI according to the Kidney Disease: Improving Global Outcomes (KDIGO) definition, three groups of interest were identified: (1) a group with a primary diagnosis of MI without an increase in serum creatinine indicating AKI, (2) a group with a primary diagnosis code for AKI and an increase in serum creatinine indicating AKI, and (3) a group with a primary diagnosis of MI and an increase in serum creatinine indicating AKI. This study focused on several composite outcomes that have been proposed for clinical trials in AKI, including the composite of major adverse kidney events (defined as chronic dialysis, a 25% decline in eGFR, or death), major adverse cardiac events (defined as a subsequent admission for stroke, MI, or congestive heart failure), and major adverse renal cardiovascular events (a composite of all of these events), over a median follow-up of 1.4 years after hospital admission. The investigators compared outcomes with a reference group with MI alone and noted that those with a primary diagnosis of AKI had a 37% increase in the relative risk of a composite major adverse renal or cardiovascular event, whereas those with MI and serum creatinine changes of AKI had a 92% increase. Further examination of the components of this composite showed that individuals with MI accompanied by serum creatinine changes indicative of AKI were at higher risks of death, the composite of cardiovascular events, and the composite of kidney events, than individuals with MI without AKI. This provides new information about the association between AKI and the risk of subsequent cardiovascular events after an MI, extending the findings of other large observational studies and a meta-analysis that reported that AKI, even when defined by small changes in serum creatinine, is associated with long-term risks of mortality and ESRD in similar settings (5–7). In further comparisons made with individuals with MI alone, those with a primary diagnosis of AKI were at a higher risk of death and the composite of major adverse kidney events, but were at a lower risk of subsequent major adverse cardiovascular events. Although these comparisons highlight the prognostic importance of a group with AKI relative to a well characterized condition (MI), the implications of these comparisons are more challenging to interpret. Individuals with established coronary artery disease are among the highest-risk groups for subsequent cardiovascular events; thus, it is perhaps not surprising that individuals with a primary diagnosis of AKI were at lower risk of subsequent cardiovascular events over the follow-up period than those who had been recently hospitalized for MI. Furthermore, the etiology and severity of AKI can be heterogeneous, and the use of International Classification of Diseases Ninth Revision-Clinical Modification codes (which are highly specific but not particularly sensitive) (8) to select participants with a primary diagnosis of AKI preferentially enriches this group with individuals with more severe AKI, confirmed by the observation that 49% had KDIGO stage 3 AKI in the study. Comparisons of outcomes between individuals with primary diagnoses of MI and AKI should thus be interpreted with some caution, recognizing that these may be generalizable only to individuals with the most severe forms of AKI. The risks of cardiovascular and kidney events in the study by Chawla et al. are characterized using composite outcomes, selected based on the rationale that they have been proposed for use as endpoints in clinical trials. Such outcomes are frequently used in trials because they increase statistical efficiency, leading to higher event rates and thus enabling smaller sample sizes or shorter follow-up. However, such measures can make the interpretation of results challenging. In this study, one component of the composite outcome called major adverse kidney events was a 25% decrease in eGFR. This contributes to several limitations in the interpretation of the composite outcome. Not surprisingly, a 25% decrease in eGFR occurred much more frequently than chronic dialysis, a kidney endpoint of unquestionable clinical significance. Furthermore, the ascertainment of a 25% decline in eGFR is such that it may not represent actual progression to CKD in many participants, but rather an episode of potentially reversible AKI. Finally, even if the decrease in eGFR was reflective of chronic disease, it can be influenced by regression to the mean because the cohort was selected based on high baseline eGFR. Another limitation of the “super-composite outcome” known as major adverse renal or cardiovascular events, a merger of the major adverse kidney and major adverse cardiovascular composite endpoints, arose because the component outcomes did not all move in line with each other. Although the composite of major cardiovascular and renal events as a whole appeared to be significantly associated with AKI in the study, the risks of death and the composite of adverse kidney events associated with a diagnosis of AKI were higher, yet the risks of cardiovascular events were lower compared with individuals with MI alone. This finding illustrates how composite outcomes can obscure associations with the individual components (9). Risk factors for cardiovascular and kidney outcomes may be vastly different, so a merger of major adverse kidney and cardiovascular events may not be appropriate. For large observational studies such as this, more refined characterization of the risks of each of the component outcomes could prove more helpful to characterize the prognosis of AKI and inform the development of appropriate outcomes for future trials. Although observational studies of this nature cannot establish that AKI causes subsequent adverse cardiovascular and renal events, this study does reinforce a growing body of literature on the long-term prognostic importance of AKI. For patients who have had an MI, there is a relative abundance of high-quality evidence for secondary prevention strategies for cardiovascular disease to apply to this high-risk group, including lifestyle modification and pharmacotherapy, most effectively delivered through structured cardiac rehabilitation programs (10). However, for patients who have had an episode of AKI, there are no established interventions known to mitigate the risk of CKD and its attendant consequences, including cardiovascular events, progression to ESRD, and mortality. Identifying individuals at high risk of subsequent adverse outcomes is a critical step toward designing and evaluating interventions to prevent disease progression and complications. Interventions based on strategies to enhance longitudinal care and increase the uptake of therapies that slow progression of CKD and reduce cardiovascular risk could provide a means to improve these outcomes of AKI, but will warrant evaluation in future trials before widespread use. Disclosures M.T.J. has received an honorarium for presentation from Amgen.

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)0,002
score de la tête « metaresearch » (Gemma)0,007
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: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,093
Score d'incertitude au seuil0,000

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,007
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0040,002
Science ouverte0,0020,003
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0930,042

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 Opus0,092
Tête enseignante GPT0,432
Écart entre enseignants0,339 · 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

Citations4
Publié2014
Routes d'admission1
Résumé présentoui

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