Abstract
Background & Aims
Although renal dysfunction is a known complication of acute liver failure (ALF), its frequency, severity and impact among patients with ALF on the US liver transplant list are not well defined.
Methods
Organ Procurement and Transplantation data for ALF patients listed as status 1/1A from 2002–2012 were analyzed. The frequency and severity of renal dysfunction at the time of listing [the latter was categorized in 5 stages using estimated GFR (eGFR) according to Chronic Kidney Disease Epidemiology Collaboration creatinine 2009 equation) were determined and the association between renal dysfunction and waiting list mortality was assessed using Cox proportional hazard regression analysis.
Results
There were a total of 2,280 adult patients with ALF, including 56% with renal dysfunction (defined as eGFR <60 ml/min/1.73m2) at listing. The highest proportion of patients with renal dysfunction was among those with ALF caused by hemolysis, elevated liver enzymes, low platelet count (HELLP) syndrome, fatty liver disease of pregnancy, heat stroke/hyperthermia-, hepatitis A virus, drug-induced liver injury due to acetaminophen (APAP), phenytoin, trimethoprim-sulfamethoxazole and macrolides. Despite the fact that 69% (468/674) of patients with APAP-induced ALF listed as status 1/1A had renal dysfunction, only 0.9% underwent simultaneous liver-kidney transplantation. Six-week survival probabilities in patients with ALF on the liver transplant waiting list were 71%, 59%, 56%, 59% and 42% with renal dysfunction stages of 1, 2, 3, 4, and 5, respectively. Multivariate analysis showed that after controlling for age, etiology of ALF, INR, total bilirubin and region, the relative risk of death increased progressively as eGFR declined (P<0.0001).
Conclusions
Among patients with ALF on the liver transplant waiting list, renal dysfunction was common (overall prevalence of 56%). Most importantly, severe renal dysfunction was associated with significantly increased mortality.
Keywords: Renal dysfunction, acute liver failure, liver transplantation, CKD-EPI, OPTN
BACKGROUND
Acute liver failure (ALF) is defined as rapid loss of hepatic synthetic function with an international normalized ratio (INR) ≥ 1.5 and altered mental status in the setting of abnormal serum aminotransferases in a patient without known liver disease1, 2. With the exception of few scenarios where the use of antidotes and targeted treatment is indicated3–6, the current management of ALF is supportive and includes liver transplantation in highly selected patients2. Improvement in intensive care unit monitoring and supportive care have increased survival; however the mortality still remains high7.
Early identification of factors that affect survival is a key to improving outcomes in ALF. Renal dysfunction in the setting of ALF has been associated with decreased survival8. Accurate assessment of the severity of renal dysfunction is crucial as it correlates with increased morbidity and mortality in patients with acute and chronic liver disease8–10. The stage and severity of acute kidney injury is an independent predictor of mortality in patients with chronic liver disease9.
Although renal dysfunction may complicate ALF, little is known regarding its frequency, severity and impact in patients with ALF on the liver transplant waiting list in US. The objectives of the present study were to fill these gaps in knowledge.
METHODS
Study Population
The analysis was performed based on Organ Procurement and Transplantation Network (OPTN) from February 27, 2002 through September 30, 2012 (OPTN data as of December 14, 2012). Patients 18 years or older with ALF with status 1 or 1A listing were included in the analysis.
Study Variables
The diagnosis of ALF was based on diagnosis variables of “acute hepatic necrosis” and “status 1 or status 1A” at the time of United Network for Organ Sharing (UNOS) registration. Serum creatinine and estimated glomerular filtration rate (eGFR) were used to define renal dysfunction at listing. EGFR was calculated at the time of listing using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) creatinine (Cr) 2009 equation11 and categorized according to eGFR stages: Stage 1 if eGFR ≥ 90 ml/min/1.73m2, Stage 2 if eGFR ≥ 60 to <90 ml/min/1.73m2, Stage 3 if eGFR ≥ 30 to <60 ml/min/1.73m2, Stage 4 if eGFR ≥ 15 to <30 ml/min/1.73m2, Stage 5 if eGFR < 15 ml/min/1.73m2 or on dialysis12. Renal dysfunction was defined as eGFR <60 ml/min/1.73m2 at listing.
Statistical Analysis
All analyses were performed using SAS software, version 9.2 (Cary, NC, United States)13 and Minitab 16 statistical software (Minitab, Inc, State College, PA, United States)14. For categorical variables, the chi-square and Fisher exact tests were used to assess differences between patients with and without renal dysfunction. For continuous variables, the Wilcoxon rank-sum test was used to assess differences. We reported survival outcomes for two distinct time periods: 1) overall outcomes during entire time on the waiting list; and 2) all-cause mortality on the waiting list during 6 weeks after listing for ALF. A total of 91 patients were excluded from the survival analysis if their outcome on the waiting list was unknown (60), underwent living donor liver transplantation (10), transplanted at another center (multiple listing) (1), transferred to another center (1), refused liver transplant (2) or died during transplant procedure (17). To determine overall outcomes during entire time on the waiting list analysis, patients were followed from the time of listing until death, removal from the list due to improvement or deterioration, transplantation or until their last follow-up on the liver transplant waiting list. Patients were “right-censored” in the analysis if they were alive at the last follow-up on the waiting list, removed from the waiting list due to improvement or transplanted. For Cox multivariate regression analysis, patients were followed from the time of listing until the end of 6 weeks on the liver transplant waiting list and were “right-censored” in the analysis if they were alive at 6 weeks, removed from the waiting list due to improvement or transplanted. Patients who died or were removed due to deterioration during the 6 weeks post listing were considered as having died for purposes of the analysis. Survival curves were generated using Kaplan–Meier plots15 and compared using a log rank test. Cox multivariate regression analysis16 was performed to determine factors associated with mortality on the liver transplant waiting list during the 6 weeks after listing for ALF.
RESULTS
Patients Characteristics
We identified a total of 2280 patients with ALF listed as status 1 or 1A for liver transplantation during the study period, including 1271 (55.7%) with eGFR < 60 ml/min/1.73m2 at listing (Table 1). The median number of days on the liver transplant waiting list was three days. Ninety-three percent of patients had a follow-up of 6 weeks or less and 7% had a follow-up of more than 6 weeks. The proportion of patients with renal dysfunction was significantly greater among white patients, and those on life support at listing than patients without renal dysfunction (Table 1). On the other hand, sex and the presence of diabetes did not significantly impact the likelihood of renal dysfunction (Table 1). The highest proportion of patients with renal dysfunction was among those with ALF caused by hemolysis, elevated liver enzymes, and low platelet count (HELLP) syndrome, fatty liver disease of pregnancy, heat stroke/hyperthermia, hepatitis A virus, and drug-induced liver injury due to APAP, phenytoin, trimethoprim-sulfamethoxazole, and macrolides (Table 2). Compared to those without renal dysfunction, patients with ALF and renal dysfunction had significantly higher model for end-stage liver disease (MELD) scores (39 vs. 32, P<0.0001) compared to those without renal dysfunction (Table 1).
Table 1.
Characteristics of Patients with ALF on the Liver Transplant Waiting List Stratified by eGFR at Listing
| Characteristics | eGFR ≥ 60 ml/min/1.73m2 | eGFR <60 ml/min/1.73m2 | P Value | ||
|---|---|---|---|---|---|
|
| |||||
| N=1009 | (Row %) | N=1271 | (Row %) | ||
| Sex | 0.572 | ||||
| Male | 297 | 43.4 | 388 | 56.6 | |
| Female | 712 | 44.6 | 883 | 55.4 | |
| Race or Ethnicity | <0.0001 | ||||
| White | 532 | 37.5 | 888 | 62.5 | |
| Black | 227 | 55.5 | 182 | 44.5 | |
| Hispanic | 128 | 54.7 | 106 | 45.3 | |
| Asian | 100 | 58.8 | 70 | 41.2 | |
| Unknown | 22 | 46.8 | 25 | 53.2 | |
| Etiology of Acute Liver Failure | <0.0001 | ||||
| Acetaminophen | 206 | 30.6 | 468 | 69.4 | |
| Hepatitis B Virus | 101 | 56.4 | 78 | 43.6 | |
| Autoimmune Hepatitis | 77 | 65.3 | 41 | 34.8 | |
| Hepatitis A Virus | 12 | 36.4 | 21 | 63.6 | |
| Isoniazid | 14 | 60.9 | 9 | 39.1 | |
| Other* | 599 | 47.8 | 654 | 52.2 | |
| Life Support at Listing | <0.0001 | ||||
| Yes | 443 | 35.6 | 802 | 64.4 | |
| No | 566 | 54.7 | 469 | 45.3 | |
| Diabetes | 0.488 | ||||
| Yes | 55 | 41.4 | 78 | 58.7 | |
| No | 954 | 44.4 | 1193 | 55.6 | |
|
| |||||
| Median | Range | Median | Range | P-value | |
|
| |||||
| Age (y) | 38 | 55 | 40 | 56 | 0.0002 |
| Days on the Waiting List | 3 | 2926 | 3 | 3671 | 0.0004 |
| Serum Creatinine at Listing | 0.8 | 1.6 | 2.6 | 19.0 | <0.0001 |
| Serum Total Bilirubin at Listing | 16.3 | 59.9 | 7.3 | 98.6 | <0.0001 |
| INR at Listing | 3.7 | 98.0 | 3.7 | 76.9 | 0.0571 |
| MELD Score at Listing | 32 | 63 | 39 | 53 | <0.0001 |
| Serum Sodium at Listing | 139 | 43 | 139 | 50 | 0.0017 |
Other: Wilson disease, mushroom/amanita, non-steroidal anti-inflammatory drugs, phenytoin, fatty liver disease of pregnancy, amoxicillin/amoxicillin-clavulanic acid, hemolysis, elevated liver enzymes, low platelet count (HELLP) syndrome, propylthiouracil, nitrofurantoin, heat stroke/hypertermia, carbamazapine, infliximab, trimethoprim-sulfamethoxazole, disulfiram, Hepatitis E Virus, herbal supplements, macrolide antibiotics, Budd-Chiari syndrome, Epstein-Barr Virus, valproic acid
Table 2.
Renal Dysfunction Stratified by Etiology of ALF on the Liver Transplant Waiting List
| Etiology of ALF | eGFR ≥ 60 | eGFR <60 | ||
|---|---|---|---|---|
|
| ||||
| ml/min/1.73m2
| ||||
| N=1009 | (Row %) | N=1271 | (Row %) | |
| Heat Stroke/Hyperthermia | 0 | 0.0 | 3 | 100.0 |
| Elevated liver enzymes, low platelet count (HELLP) Syndrome | 0 | 0.0 | 10 | 100.0 |
| Macrolide Antibiotics | 0 | 0.0 | 4 | 100.0 |
| Fatty Liver Disease of Pregnancy | 0 | 0.0 | 9 | 100.0 |
| Acetaminophen | 206 | 30.6 | 468 | 69.4 |
| Phenytoin | 4 | 30.8 | 9 | 69.2 |
| Hepatitis A Virus | 12 | 36.4 | 21 | 63.6 |
| Trimethoprim-sulfamethoxazole | 3 | 37.5 | 5 | 62.5 |
| Valproic Acid | 2 | 40.0 | 3 | 60.0 |
| Herbal Supplements | 5 | 41.7 | 7 | 58.3 |
| Mushroom/Amanita | 5 | 45.5 | 6 | 54.6 |
| Other | 538 | 48.0 | 582 | 52.0 |
| Epstein-Barr Virus | 1 | 50.0 | 1 | 50.0 |
| Carbamazepine | 2 | 50.0 | 2 | 50.0 |
| Hepatitis E Virus | 1 | 50.0 | 1 | 50.0 |
| Hepatitis B Virus | 101 | 56.4 | 78 | 43.6 |
| Non-steroidal anti-inflammatory drugs | 6 | 60.0 | 4 | 40.0 |
| Isoniazid | 14 | 60.9 | 9 | 39.1 |
| Amoxicillin/Amoxicillin-Clavulanic Acid | 2 | 66.7 | 1 | 33.3 |
| Autoimmune Hepatitis | 77 | 65.3 | 41 | 34.8 |
| Budd-Chiari Syndrome | 2 | 66.7 | 1 | 33.3 |
| Propylthiouracil | 6 | 75.0 | 2 | 25.0 |
| Wilson Disease | 10 | 76.9 | 3 | 23.1 |
| Infliximab | 5 | 83.3 | 1 | 16.7 |
| Disulfiram | 4 | 100.0 | 0 | 0.0 |
| Nitrofurantoin | 3 | 100.0 | 0 | 0.0 |
Severity of Renal Dysfunction at Listing Stratified by Etiology of ALF
The severity of renal dysfunction at the time of listing varied based on the etiology of ALF (Table 2). All patients with ALF due to heat stroke/hyperthermia, hemolysis, elevated liver enzymes, low platelet count (HELLP) syndrome, macrolide antibiotics, acute fatty liver disease of pregnancy (FLDP) had renal dysfunction (Table 2).
The highest median Cr and lowest median eGFR at listing was found in those with heat stroke-induced ALF (Cr=6.9 mg/dl, eGFR=9.1 ml/min/1.73m2), followed by FLDP (Cr=3.2 mg/dl, eGFR=18.2 ml/min/1.73m2), HELLP syndrome (Cr=3.2 mg/dl, eGFR=18.4 ml/min/1.73m2), trimethoprim-sulfamethoxazole (Cr=3.2 mg/dl, eGFR=25.8 ml/min/1.73m2), phenytoin (Cr=2.4 mg/dl, eGFR=29.8 ml/min/1.73m2), macrolide antibiotics (Cr=2.3 mg/dl, eGFR=22.7 ml/min/1.73m2), HAV (Cr=2.2, eGFR=34.2 ml/min/1.73m2) and APAP-induced ALF (Cr=2.1 mg/dl, eGFR=32.0 ml/min/1.73m2). The highest proportion of patients on dialysis at listing was among those who had HELLP syndrome (6 out of 10, 60%). Only 14.2% (96 out of 674) of patients with APAP-induced ALF were on dialysis at the time of listing.
Overall Survival Outcomes of Patients with ALF Stratified by eGFR
Table 3 shows overall outcomes on the liver transplant waiting list. Among patients with ALF and renal dysfunction, the proportion of patients who died (15.5% vs. 6.7%) or removed from the list due to deterioration (10.4% vs. 7.9%) was higher compared to those without renal dysfunction (Table 3). The proportion of patients with ALF who underwent simultaneous liver-kidney transplantation was significantly higher in those with renal dysfunction compared to those without renal dysfunction at the time of listing (1.5% vs. 0.2%, P=0.001). Only 0.9% of patients with APAP-induced ALF had simultaneous liver-kidney transplantation (Table 4).
Table 3.
Overall Outcomes of Patients with ALF on the Liver Transplant Waiting List Stratified by eGFR at Listing
| eGFR ≥ 60 ml/min/1.73m2 | eGFR <60 ml/min/1.1.73m2 | P Value | |||||
|---|---|---|---|---|---|---|---|
|
|
|||||||
| N=2189 | % | N=973 | (%=44.4) | N=1216 | (%=55.6) | ||
| Outcomes on the Liver Transplant Waiting List | <0.0001 | ||||||
| Alive | 10 | 0.5 | 6 | 0.6 | 4 | 0.3 | |
| Death | 254 | 11.6 | 65 | 6.7 | 189 | 15.5 | |
| Liver Transplantation | 1274 | 58.2 | 629 | 64.7 | 645 | 53.0 | |
| Removed from the list as the condition improved | 447 | 20.4 | 196 | 20.1 | 251 | 20.6 | |
| Removed from the list as the condition deteriorated | 204 | 9.3 | 77 | 7.9 | 127 | 10.4 | |
|
| |||||||
| Simultaneous Liver-Kidney Transplantation | 0.001 | ||||||
| Yes | 21 | 1.0 | 2 | 0.2 | 19 | 1.5 | |
| No | 2168 | 99.0 | 971 | 99.8 | 1197 | 98.4 | |
Table 4.
Patients who underwent Simultaneous Liver-Kidney Transplantation Stratified by Etiology of ALF on the Liver Transplant Waiting List
| Simultaneous Liver-Kidney Transplantation
|
||||
|---|---|---|---|---|
| No | Yes | |||
|
|
||||
| N | (Row %) | N | (Row %) | |
| Phenytoin | 11 | 84.6 | 2 | 15.4 |
| Hepatitis A Virus | 32 | 97.0 | 1 | 3.0 |
| Autoimmune Hepatitis | 115 | 97.5 | 3 | 2.5 |
| Acetaminophen | 668 | 99.1 | 6 | 0.9 |
| Other/Unknown | 1111 | 99.2 | 9 | 0.8 |
Six-Week Survival Probabilities in Patients with ALF
The 6-week survival probabilities in patients with ALF were 71%, 59%, 56%, 59% and 42% with CKD stages of 1, 2, 3, 4, and 5, respectively (P<0.0001) (Figure 1). Interestingly, while the survival probability for patients with eGFR stages 1–4 tended to remain stable after being listed for about 12 days, the survival probability in those with eGFR stage 5 continued to decline over time while on the waiting list.
Figure 1.
Survival probabilities in patients with ALF categorized according to severity of renal dysfunction. Survival curves were generated using Kaplan–Meier plots15 and compared using a log rank test.
Mortality in Patients with ALF during the First Six Weeks on the Liver Transplant Waiting List
A multivariate Cox regression analysis was performed to identify independent predictors of mortality in patients with ALF during the first six weeks after listing for liver transplantation (Table 5). After controlling for age, etiology of ALF, INR, total bilirubin and region, the relative risk of death increased progressively as eGFR declined.
Table 5.
Mortality in Patients with ALF during the First 6 Weeks on the Liver Transplant Waiting List*
| Variable | Hazard Ratio | 95% CI | P Value | |
|---|---|---|---|---|
| eGFR at Listing (ml/min/1.73m2) | eGFR ≥ 90 | 1.000 | ||
| eGFR ≥ 60 to < 90 | 1.428 | 1.006–2.029 | 0.046 | |
| eGFR ≥ 30 to < 60 | 1.866 | 1.366–2.549 | <0.0001 | |
| eGFR ≥ 15 to < 30 | 2.233 | 1.625–3.067 | <0.0001 | |
| eGFR < 15 or on Dialysis | 2.770 | 2.071–3.705 | <0.0001 |
Controlled for etiology of ALF, INR, total bilirubin and region
DISCUSSION
Here, we demonstrate that in 2,280 adult patients with ALF listed as status 1 or 1A for liver transplantation in the U.S. renal dysfunction was very common. Further, the data indicate that renal dysfunction complicating ALF predicts a significantly worse outcome, and that the risk of death increases as the degree of renal dysfunction worsens. Interestingly, despite that more than 2/3 of patients with APAP-induced ALF have renal dysfunction at the time of listing, less than 1% required simultaneous liver-kidney transplantation.
Our findings are consistent with other reports investigating the frequency of renal dysfunction in ALF17–21. The prevalence of renal dysfunction in patients with ALF has been previous reported to be 38% to 79%17–21. Differences in prevalence are likely due to variable definitions used to identify renal dysfunction and differences in the population studied. Prior studies have reported association of renal dysfunction with increased mortality in ALF patients17, 19, 20, our data expand prior experience and emphasize that mortality in patients with renal dysfunction and ALF is high and that mortality increases with severity of renal dysfunction even after controlling for etiology of ALF, INR, total bilirubin and region. Our study evaluated the severity of renal dysfunction not only in APAP-induced ALF but also in several etiologies of ALF and its impact on mortality using a multivariate analysis.
We found that the prevalence of renal dysfunction, degree of severity and need for hemodialysis and SLKT varied depending on the etiology of acute liver failure. All patients with heat stroke/hyperthermia, HELLP syndrome, macrolide antibiotics, FLDP-induced ALF had renal dysfunction (Table 2) and patients with ALF secondary to APAP, phenytoin, HAV had a prevalence of renal dysfunction ranging from 63.6–69.4%; however only patients with ALF secondary to phenytoin, HAV and autoimmune hepatitis underwent simultaneous liver-kidney transplantation more frequently compared to those with ALF secondary to the other etiologies.
Why certain causes of ALF were associated with more renal dysfunction than others remains unclear. Acute liver injury is common in heat stroke and ALF has been reported as a complication, although ALF that requires liver transplantation in this setting is rare22, 23. Renal dysfunction has been reported up to 50% of patients with heat stroke24. Patients can recover from heat-stroke-induced renal dysfunction by early osmotic diuresis, alkalization of urine, correction of electrolyte abnormalities and hemodialysis24.
HELLP Syndrome is a serious complication of pregnancy which can present with acute kidney injury in 8% of the cases25. FLDP is an uncommon but potentially fatal liver disease that usually occurs during the second and third trimester. FLDP can be accompanied by renal dysfunction and acute tubular necrosis in 56–100% patients26, 27. Renal dysfunction in FLDP was attributed to inhibition of fatty acid beta-oxidation in the kidneys, hepatorenal syndrome as well as acute tubular necrosis26. Renal dysfunction correlates with the severity of FLDP; with early initiation of supportive management usually resolves with delivery and rarely requires hemodialysis26, 27.
Macrolide antibiotics can induce acute liver injury as well as acute and chronic kidney disease28–31. Acute kidney injury from macrolides including erythromycin, azithromycin and telithromycin is usually secondary to acute interstitial nephritis that can be reversed by the administration of steroids28–30.
Phenytoin has been associated with ALF32 and acute kidney injury secondary to prerenal azotemia33, hypersensitivity syndrome33, acute interstitial nephritis34 or anti-neutrophil cytoplasmic antibody-associated vasculitis35. Reports have documented resolution of renal dysfunction after supportive care and treatment with steroids and cyclophosphamide35, 36. None required kidney transplantation35, 36. In our study, phenytoin-induced ALF had the highest proportion of patients (15%) requiring simultaneous liver-kidney transplantation.
APAP hepatotoxicity, the most common etiology of ALF in the western world7 has been associated with renal failure secondary to multiple potential factors including release of endotoxins, hypovolemia, hepatorenal syndrome and acute tubular necrosis17, 20,37–38. The prevalence of acute kidney injury in ALF secondary to APAP has been reported between 53–76%17, 20. In the majority of these patients, acute kidney injury was reversible39. Consistent with these studies, we observed renal dysfunction in 69% of patients with ALF secondary to APAP (Table 2). Only 0.9% of patients with APAP-induced ALF required simultaneous liver-kidney transplantation.
Acute kidney injury can occur in patients with HAV infection with and without ALF40–42. Mechanisms whereby renal dysfunction may occur during acute HAV infection include hypovolemia, tubular toxicity induced by hyperbilirubinemia and immune-complex mediated nephritis41–43. The management is usually supportive although there have been reports of improvement of renal function after hemodialysis, plasmapheresis and corticosteroid use41, 43–46. The majority of patients recover a normal renal function although permanent renal insufficiency has been reported40, 46. We found that 3% of patients with HAV- induced ALF required simultaneous liver-kidney transplantation.
Among 118 of patients with ALF secondary to autoimmune hepatitis, 35% developed renal dysfunction and only 2.5% required simultaneous liver-kidney transplantation. Although the precise mechanism for renal dysfunction in autoimmune hepatitis is unclear; an association between autoimmune hepatitis and acute renal failure secondary to mixed cryoglobulinemic glomerulonephritis responsive to rituximab was reported47.
Our study had several important strengths, including a large sample size and robust national data spanning 10 years with a mortality assessment. We also appreciate limitations. First; this was a retrospective analysis of prospectively collected data from different medical centers; therefore bias in data collection may be present. When we identified patients with ALF using the variables “acute hepatic necrosis” and “status 1 or 1A”, we observed that 7% of patients (170 out of 2280) had a waiting time greater than 6 weeks. Our further analysis showed that these patients were listed initially with a diagnosis of ALF as status 1. However, 89% of them were temporarily inactive at the last follow-up on the waiting list and 10% were still active on the waiting list with a MELD score (non-status 1). Another limitation is that this dataset did not provide baseline serum creatinine before listing; thus we could not differentiate acute kidney injury from chronic kidney disease or acute kidney injury superimposed on chronic kidney disease48. Current definitions for acute kidney injury include changes in serum creatinine and urinary output which are indirect markers of changes in GFR48.
In summary, our data indicate that in those with ALF and listed for liver transplantation, renal dysfunction was very common and the prevalence and severity of renal dysfunction differed based on the etiology of ALF. Notably, our study indicates that renal dysfunction complicating ALF predicts a significantly worse outcome. Further investigation is clearly warranted to identify more accurate biomarkers for renal dysfunction in patients with ALF. This will be likely to facilitate earlier diagnosis, classification and treatment of renal dysfunction and hasten liver transplant allocation.
Acknowledgments
FUNDING
”The project described was supported by Grant Number 5 K23 DK089008-05 from the National Institutes of Health (NIH) National Institute of Diabetes and Digestive and Kidney Diseases (to Ayse L. Mindikoglu, M.D., M.P.H.) and its contents are solely the responsibility of the authors and do not necessarily represent the official views of the National Institute of Diabetes and Digestive and Kidney Diseases or the NIH”
“Nathalie H. Urrunaga, M.D., M.S. was supported by Grant Number 5 T32 DK067872-10 from the National Institutes of Health (NIH) National Institute of Diabetes and Digestive and Kidney Diseases”
“This work was supported in part by Health Resources and Services Administration contract 234-2005-370011C. The content is the responsibility of the authors alone and does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does mention of trade names, commercial products, or organizations imply endorsement by the U.S. Government”.
“We thank Jean-Pierre Raufman, M.D. (Professor of Medicine, Department of Medicine, Division of Gastroenterology and Hepatology, University of Maryland School of Medicine) for reviewing our manuscript”
ABBREVIATIONS
- ALF
Acute Liver Failure
- OPTN
Organ Procurement and Transplantation Network
- UNOS
United Network for Organ Sharing
- INR
International normalized ratio
- MELD
Model for End-Stage Liver Disease
Footnotes
AUTHORSHIP:
Nathalie H. Urrunaga M.D., M.S. designed and performed the study, analyzed the data, and wrote the paper.
Laurence S. Magder Ph.D., M.P.H. analyzed the data and contributed with important suggestions.
Matthew R. Weir, M.D. contributed with important suggestions.
Don C. Rockey, M.D. wrote the paper and contributed with important suggestions.
Ayse L. Mindikoglu M.D., M.P.H. designed and performed the study, analyzed the data, and wrote the paper.
MEETING MATERIAL
Urrunaga N, Mindikoglu AL. Prevalence, Severity and Impact of Renal Dysfunction in Acute Liver Failure on the U.S. Liver Transplant Waiting List. Gastroenterology 2014, 146, Issue 5, S-915. Abstract was presented on May 4, 2014 at Digestive Disease Week (DDW), Chicago, IL.
CONFLICT OF INTEREST
None to declare.
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