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Enregistrement W2089899148 · doi:10.1002/lt.23980

Debate: A bridge too far—liver transplantation for nonalcoholic steatohepatitis will overwhelm the organ supply

2014· article· en· W2089899148 sur OpenAlexaboutno aff
Julie K. Heimbach

Notice bibliographique

RevueLiver Transplantation · 2014
Typearticle
Langueen
DomaineMedicine
ThématiqueLiver Disease Diagnosis and Treatment
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineLiver transplantationContext (archaeology)TransplantationOverweightBody mass indexOrgan donationLiver diseaseOrgan transplantationNonalcoholic steatohepatitisObesityIntensive care medicineDiseasePediatricsNonalcoholic fatty liver diseaseGerontologySurgeryInternal medicineFatty liver

Résumé

récupéré en direct d'OpenAlex

In the United States, approximately 16,000 patients are waiting for liver transplantation (LT), and each year we have an opportunity to provide transplantation to approximately 6000 of those patients, whereas approximately 1500 die while on the wait list and an additional 1500 are removed as they become too ill to undergo transplantation.1 On average, there are 8 patients each day who either die waiting or are removed for being too sick. Over the past 10 years, despite a major initiative from the U.S. Health Resources and Services Administration to increase organ donation, we have not been able significantly to narrow the gap between the number of organs available and the number needed to give all patients who require it access to the lifesaving benefit of transplantation.2 Until we can address this devastating imbalance, either by reducing the need for transplant or by increasing the organ supply, all decisions regarding LT must be considered both in the context of what is best for the individual patient and what is the best use of a liver allograft. Both in the United States and in many other areas around the world, obesity has reached epidemic proportions. In the United States, in the most recent National Health and Nutrition Examination Survey data, 34.9% of adults and 17% of children are obese [body mass index (BMI) > 30 for adults, at or above 95% for U.S. Centers for Disease Control sex-specific BMI-for-age growth charts for children]. The prevalence of overweight or obese adults is 68.5% (BMI > 25), whereas in children it is 31.8% (at or above 85% BMI-for-age growth charts).3 The world-wide prevalence of obesity has nearly doubled in the 20-year period from 1980 to 2008, and currently 10% of men and 14% of women are obese, which is approximately 502 million people.4 Nonalcoholic fatty liver disease (NAFLD), defined as >5% fat in the liver in those with little to no alcohol intake, encompasses both those with NAFL (bland or simple steatosis), which rarely progresses to cirrhosis, and nonalcoholic steatohepatitis (NASH), which may progress to cirrhosis, hepatocellular carcinoma (HCC), and liver-related mortality.5 NAFLD is the most common liver disease in the Western world, and it is currently estimated that approximately one-third of the U.S. adult population has NAFLD.6 The presence of NAFLD in Europe and the Middle East ranges from 20% to 30%, and in Asia, despite lower rates of obesity than in the rest of the world, there appears to be a similar prevalence of NAFLD (15%-30%).5 Approximately one-third of patients with NAFL progress to NASH.5-7 For patients with NASH, the risk of progression to cirrhosis is approximately 25%, (over 8 years of follow-up), and liver-related mortality in Western patients with NASH is 18% at 18 years of follow-up.8, 9 NASH-related cirrhosis is currently the most rapidly rising indication for LT in the United States.10 This increased demand for LT from patients with NASH is coupled with the rising incidence of NAFLD in the population, which has obvious implications for availability of suitable allografts from living or deceased donors. HCC is a rapidly rising indication for LT.11 In 2012, nearly 22% of the patients who underwent LT had a primary diagnosis of malignancy at listing, compared with 7% in 2002,2 and an even greater percentage had HCC at the time of transplantation from the development of HCC in patients who were already on the wait list. Patients with NASH cirrhosis are at risk for the development of HCC, with an annual incidence of 2%-3%/year.12 Although this is lower than the risk for patients with hepatitis C virus (HCV), the incidence of NAFLD far exceeds that of HCV in the United States. In a recent analysis of claims-based data, the overall burden of HCC resulting from NASH-related cirrhosis was higher than that from HCV-related cirrhosis.13 It is anticipated that, as the incidence of NAFLD continues to increase around the world, in parallel with the obesity epidemic, there will be a shift from virus-related cirrhosis to NAFLD-related cirrhosis as the major risk for HCC. This increased disease burden of NASH-related HCC may further increase demand for LT. There have been multiple analyses of the impact of obesity on patients undergoing LT (Table 1). One of the earlier reports on this issue came in 2001 from Nair et al.,20 who noted increased rates of perioperative complications, increased length of hospital stay (LOS), and increased cost in patients with obesity compared with those of normal weight in a single-center retrospective analysis of 121 patients undergoing transplantation between 1994 and 1996. Another series from Vancouver on 167 patients undergoing transplantation from 1999 to 2003 noted increased wound infection rates, increased wound dehiscence, and increased ventral hernia rates.16 Subsequently, a larger series from Gainesville, Florida, published in 2006 on 700 patients who were normal, overweight, or obese (BMI > 30), demonstrated no difference in length of stay, major surgical complications, or costs.14 An additional report from the University of Wisconsin published in 2012 noted higher rates of biliary complications, longer intensive care unit (ICU) stay, greater infectious complications, higher rates of deep venous thrombosis, and higher blood product use. This series of 817 was notable for having a larger number of patients in the high-BMI categories of BMI > 35 (n = 83) and BMI > 40 (n = 47) compared with prior series in which most of the high-BMI patients had BMI of 30 to 35.17 In 2009, Nair et al.15 reported an updated analysis of outcomes of obese patients, and this time patients were divided into 5 groups with BMI < 30 being compared with successively higher BMI categories, and the endpoints reported in addition to death were LOS, reoperation, readmission, and blood product use. For all the endpoints, the rates were markedly higher in the BMI > 40 cohort, although because there were only 8 patients in this cohort the findings did not always reach statistical significance. The most recent series, published in 2013, comes from the United Kingdom and reports on 1325 patients, again noting increased length of ICU and hospital stay, and increased infectious complication rates.19 Although different endpoints and different BMI cohorts make direct comparisons between series difficult, and some have reported no differences, the general trend is that of increased complication rates and greater resource utilization for obese patients compared with nonobese patients. The impact of obesity and NASH on patient and graft survival has also been reported by multiple groups using both national data sets as well as single center analyses (Table 2). Multiple reports of outcomes of obese recipients have been published using Organ Procurement and Transplant Network (OPTN) data. The first, by Nair et al.,21 looked at outcomes in obese patients using OPTN data from the 1988 to 1996 period and divided the cohorts into 5 separate groups based on BMI (≤25.0, 25.1-30.0, 30.1-35.0, 35.1-40.0, ≥40.1). They demonstrated worse outcomes for patients with severe obesity (BMI ≥ 40,1) at 30 days and 1, 2, and 5 years after transplant, and 5-year outcomes were also worse in the moderate-obesity (BMI 35.1-40.0) group. These data were confirmed in a second study of OPTN data that looked at a larger patient cohort (1987-2007, n = 73,538) and found worse outcomes for both those with a low BMI (<18.5) and those with a high BMI (>45). Not only was this a larger study population than in the previous report but the study also examined both low and high BMI, although there were only relatively small numbers of patients in these extreme cohorts (1827 and 1447, respectively, compared with 68,172 in the remaining group).24 Another study looked at only more contemporary patients from 2001 to 2004 and analyzed survival for wait-listed candidates and posttransplant candidates. They used slightly different BMI cutoffs and found no difference in posttransplant outcomes based on BMI, and only the underweight patients had inferior survival while on the wait list.22 The most recent analysis of OPTN data included only patients from the 2002 to 2011 period, and in this analysis the authors looked at males and females separately as well as the whole cohort. In addition, they looked at the change in BMI from listing to transplant to see whether weight gain or weight loss had any impact. Unlike the previous two studies, this study showed no adverse impact for obesity in males or females and no impact of the delta BMI except for females in the underweight category who had an improved outcome when they achieved a BMI > 18.5. This study also demonstrated worse outcomes for recipients with a BMI < 18.5.26 An interesting report from Leonard et al.23 on long-term outcomes for obese patients using the NIDDK data set (prospective, multicenter data for patients transplanted from 1990 to 1994) as well as contemporary single-center data (2000-2006) demonstrated that there was overall no difference in survival for obese recipients versus nonobese recipients when adjusted for ascites volume. They also noted that ascites was an independent predictor of outcome and that approximately 15% of obese patients changed to a lower BMI class when weight was adjusted for ascites volume noted at transplant. A lack of adjustment for ascites may be a confounding factor in other series in which this adjustment was not performed. Single-center analyses of outcomes have generally found few differences in outcome based on BMI (see Table 1), although UCLA recently reported their experience with LT for NASH patients and noted decreased survival in the NASH patients with BMI > 35.18 Segal et al.27 from Columbia University also noted decreased survival for patients with BMI > 30. Interestingly, in this series, the authors analyzed HCC outcomes and noted a higher recurrence rate and higher rates of aggressive tumor phenotype in obese patients with HCC and NASH, and they surmised that this migjht have contributed to the observed inferior outcomes for patients with BMI > 30. The results of studies on the impact of obesity on posttransplant survival are discordant, but the general trend for analyses that have included primarily more contemporary patients is that survival appears to be similar for obese and nonobese patients. This may be the result of improvements is patient selection and/or perioperative care. However, perhaps more important in light of the critical organ shortage is the impact of obesity on long-term outcomes. Watt et al.28 analyzed the long-term causes of mortality using the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) data set and noted the most important causes of long-term mortality for individuals beyond 1 year posttransplant were graft failure, malignancies, cardiovascular complications, and renal failure, all of which can be influenced by obesity. Posttransplant diabetes, hypertension, and weight gain are common, and all are exacerbated by obesity. The obesity epidemic is one of the greatest health challenges currently facing the general population, and it will have a major impact on LT because of the associated rise in the incidence of NASH and NASH-related HCC. There is already a severe shortage of available liver allografts, which will be exacerbated by an increased demand for LT with the rising incidence of obesity-related liver disease. Because the obesity crisis also impacts the availability of suitable living and deceased organ donors, the impact will be far more significant. Research and public health initiatives aimed at further elucidating and counteracting obesity in both adults and especially children is paramount.

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 candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,358
Score d'incertitude au seuil0,839

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 recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,014
Tête enseignante GPT0,248
Écart entre enseignants0,234 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

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

En bref

Citations17
Publié2014
Routes d'admission1
Résumé présentoui

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