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Enregistrement W2169599723 · doi:10.1681/asn.2011040394

Differential Outcomes Between Dialysis Modalities

2011· letter· en· W2169599723 sur OpenAlexaboutno aff
Jula K. Inrig, Robert D. Toto

Notice bibliographique

RevueJournal of the American Society of Nephrology · 2011
Typeletter
Langueen
DomaineMedicine
ThématiqueDialysis and Renal Disease Management
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicinePeritoneal dialysisDialysisIntensive care medicineHemodialysisRandomized controlled trialPopulationObservational studyEnd stage renal diseasePsychological interventionModalitiesInternal medicine

Résumé

récupéré en direct d'OpenAlex

Cardiovascular morbidity and mortality among patients receiving lifesaving dialysis far exceeds that of the age-adjusted general population. Over the last several decades, there have been ongoing debates and numerous investigations seeking to identify the ideal dialysis modality for individual end-stage renal disease (ESRD) patients. Despite a paucity of evidence to support the use of one modality over another, the prevalence rates of peritoneal dialysis (PD) have declined in the United States to a current level of 7%.1 In the era of bundled dialysis payments, health care reform, and pay-for-performance, there is a heightened interest in identifying the most cost-effective interventions associated with the best clinical outcomes. Home dialysis modalities are cost-effective, but do they improve clinical outcomes? While the annual payer costs for patients treated with peritoneal dialysis are lower compared with hemodialysis, it remains unknown which modality is associated with the best clinical outcomes. Several recent studies have identified an early survival advantage associated with the use of PD versus hemodialysis (HD) among incident ESRD cohorts, while others have either failed to identify a survival difference or have identified poorer outcomes associated with PD versus HD.2–6 However, considering the known selection bias introduced by patients and physicians in choosing the appropriate dialysis modality, comparisons of outcomes between dialysis modalities inevitably is limited by unmeasured prognostic differences between groups at baseline. While a randomized controlled trial is necessary to solve the differential findings in observational studies, an initial attempt at a trial was not successful.7 Thus, observational studies with robust statistical methods are the only feasible alternative. In this issue of JASN, Perl et al. compare outcomes between PD and HD among a Canadian cohort of incident ESRD patients, with the HD patients stratified by dialysis access.8 The authors speculate that patients initiating HD with an arteriovenous fistula or graft (AVF/AVG) versus a catheter would be more similar to patients starting dialysis with a PD catheter, thus minimizing selection bias. They also hypothesize that the previously identified early survival advantage associated with PD versus HD would be attenuated in a comparison that controlled for vascular access. This study included 38,512 patients incident to dialysis between 2001 and 2008 who were registered in the Canadian Organ Replacement Register. Approximately 19% of patients started PD, and, of those who started on HD, only 21.4% initiated dialysis with an AVF or AVG. Similar to prior studies, PD patients in this cohort had lower overall comorbidity compared with HD patients, including a lower prevalence of diabetes mellitus, coronary artery disease, peripheral vascular disease, malignancy, and pulmonary disease. Overall, 1-yr adjusted mortality was higher with HD compared with PD; however, when patients were stratified by dialysis access type, the increased mortality was limited to HD patients with a catheter. Among patients who started HD with an AVF/AVG versus PD, 1-yr adjusted mortality was equivalent between HD and PD (hazard ratio 0.9, 95% CI 0.8 to 1.1). However, 5-yr adjusted mortality was lower among HD patients with an AVF/AVG relative to PD patients (HR 0.80, 95% CI 0.80 to 0.90). Among patients who started HD with a catheter versus PD, 1-yr and 5-yr adjusted mortality was higher among HD-catheter patients versus PD patients. However, after the first year, HD-catheter patients had similar mortality risk to PD patients. In further sensitivity analyses including the use of marginal structures models, which adjusted for propensity scores for selection of dialysis modality and probability of renal transplantation, the results were robust. In prespecified subgroup analyses, nearly all subgroups had improved 5-yr survival associated with HD with an AVG/AVF versus PD, while there was decreased survival among those with HD with a catheter versus PD. These findings provide new insights into outcomes associated with different dialysis modalities. Only patients who have been under the care of a nephrologist and have planned for dialysis initiation will have dialysis access in place (whether a PD catheter or AVG/AVF), which makes comparisons between these groups reasonable. Furthermore, the use of a catheter versus AVF/AVG is known to be associated with higher infectious complications and higher mortality, and may bias toward worse early outcomes with HD, as suggested by prior observational studies. Thus, the analysis by Perl et al. appears to be a reasonable approach to compare outcomes between dialysis modalities while minimizing the inherent selection bias between groups. However, cautious interpretation and application of these findings should be considered. This is a secondary analysis in which patients were allocated to one dialysis modality for a reason, whether it was patient or physician selection or other possibly unmeasured risk factors. While this study attempts to minimize these differences by minimizing pre-ESRD care as a confounder, residual unmeasured confounding likely exists. Despite over 50 years of renal replacement therapy being federally funded in the United States, the ideal way to deliver dialysis and the best modality to use for individual patients remains uncertain. However, in the era of bundled payments, it has been proposed that the prevalence rates of PD will rise, as it remains a lower-cost therapeutic option. This study by Perl et al. supports the individualized use of PD as an equivalent dialysis modality to HD and as a preferred modality if the alternative is to start hemodialysis with a catheter. DISCLOSURES JKI receives support from the NIH (K23 HL092297) and investigator initiated grant support from Genzyme. RDT receives support from the NIH (K24DK002818) and grant support from Novartis and Reata Pharma.

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)0,003
score de la tête « metaresearch » (Gemma)0,021
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,007
Score d'incertitude au seuil0,024

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,021
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0020,002
Science ouverte0,0010,002
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0070,001

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 Opus0,027
Tête enseignante GPT0,274
Écart entre enseignants0,247 · 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'étudeObservationnel
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

Citations2
Publié2011
Routes d'admission1
Résumé présentoui

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