Volume 135, Issue 6, Pages 1924-1934.e4 (December 2008)

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ABSTRACT

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Causes, Clinical Features, and Outcomes From a Prospective Study of Drug-Induced Liver Injury in the United States

Received 4 August 2008; accepted 8 September 2008. published online 18 September 2008.

Refers to article:

Do Hepatotoxicity Registries Have a Role in Health Care? , 11 November 2008
Fedja A. Rochling, Rowen K. Zetterman
Gastroenterology
December 2008 (Vol. 135, Issue 6, Pages 1847-1850)
Full Text | Full-Text PDF (416 KB)

Background & Aims

Idiosyncratic drug-induced liver injury (DILI) is among the most common causes of acute liver failure in the United States, accounting for approximately 13% of cases. A prospective study was begun in 2003 to recruit patients with suspected DILI and create a repository of biological samples for analysis. This report summarizes the causes, clinical features, and outcomes from the first 300 patients enrolled.

Methods

Patients with suspected DILI were enrolled based on predefined criteria and followed up for at least 6 months. Patients with acetaminophen liver injury were excluded.

Results

DILI was caused by a single prescription medication in 73% of the cases, by dietary supplements in 9%, and by multiple agents in 18%. More than 100 different agents were associated with DILI; antimicrobials (45.5%) and central nervous system agents (15%) were the most common. Causality was considered to be definite in 32%, highly likely in 41%, probable in 14%, possible in 10%, and unlikely in 3%. Acute hepatitis C virus (HCV) infection was the final diagnosis in 4 of 9 unlikely cases. Six months after enrollment, 14% of patients had persistent laboratory abnormalities and 8% had died; the cause of death was liver related in 44%.

Conclusions

DILI is caused by a wide array of medications, herbal supplements, and dietary supplements. Antibiotics are the single largest class of agents that cause DILI. Acute HCV infection should be excluded in patients with suspected DILI by HCV RNA testing. The overall 6-month mortality was 8%, but the majority of deaths were not liver related.

Abbreviations used in this paper: DILI, drug-induced liver injury, DILIN, Drug-Induced Liver Injury Network, INR, international normalized ratio, RUCAM, Roussel Uclaf Causality Assessment Method, ULN, upper limit of normal

Article Outline

• Abstract

• Patients and Methods

• Data Management and Statistical Analyses

• Results

• Presenting Features

• Causative Agents

• Values of R: Types of DILI

• Causality Assessment

• Course of Liver Injury

• Dietary Supplements

• Discussion

• Acknowledgment

• Appendix

• Clinical Centers

• Data Coordinating Center

• NIDDK Scientists

• References

• Copyright

See editorial on page 1847.

Drug-induced liver injury (DILI) is a serious health problem that impacts patients, physicians, the pharmaceutical industry, and government regulators.1, 2, 3 DILI is the most common cause of death from acute liver failure and accounts for approximately 13% of cases of acute liver failure in the United States.4 DILI is the most frequent adverse drug event leading to abandonment of otherwise promising new drug candidates during preclinical or clinical development, failure of drugs to achieve approval by the regulatory agencies, and withdrawal or restriction of prescription drug use after initial approval.1, 2, 3

Idiosyncratic DILI from any single medication is a rare clinical event occurring in less than 1 per 10,000 to 100,000 of subjects who take the drug. The risk factors for this rare occurrence and the pathogenesis are poorly understood.1, 2, 3, 5, 6 Most cases of DILI are unpredictable and generally believed to be due to an immunoallergic reaction or an abnormality in the metabolism of the agent and lack a dose relationship, although a dose threshold has been suggested recently.5, 7, 8 The clinical presentation of DILI covers a wide spectrum, from asymptomatic liver test abnormalities to symptomatic acute liver disease, prolonged jaundice and disability, or overt acute or subacute liver failure. The recognition and diagnosis of DILI are often difficult and delayed due to the need to exclude more common competing causes of liver injury.

There is a growing awareness that nonprescription drugs, including herbal remedies and other over-the-counter dietary supplements, are also important causes of DILI.9, 10 For example, organ toxicity associated with formulations that contain ephedra as a major ingredient has led to their removal by regulatory authorities in some Western European countries,11, 12 and recent reports from the United States have emphasized the risks of use of extracts of Chinese green tea (Camellia sinensis) that contain catechins as a major ingredient.13, 14, 15 Because numerous dietary supplements are consumed by large numbers of US adults on a regular basis,16 the hepatotoxicity of dietary supplements may be significantly underestimated.

It has been hypothesized that host genetic, immunologic, and environmental factors are important in the pathogenesis of DILI.1, 2, 3, 5, 6, 17 Thus, there is a growing expectation that use of modern genome-wide association studies and other genetic analyses, coupled with careful phenotyping of subjects, will improve the ability to identify subjects at high or low risk for developing DILI from various drugs. This is an important part of the promise of personalized medicine.18, 19

The Drug-Induced Liver Injury Network (DILIN) was established in 2003 as a cooperative agreement among the National Institutes of Health, 5 academic clinical centers, and a data coordinating center.20 A major emphasis of DILIN has been to establish a protocol for the identification and enrollment of patients with clinically significant DILI into a prospective observational study and to create a registry and specimen repository of biological samples that could be used for mechanistic studies on the etiology and prevention of DILI. The design and development of the DILIN prospective study protocol21 and the process of causality assessment22 have been presented elsewhere. In this report, we describe the implicated agents, presenting clinical and laboratory features, and short-term outcomes of the first 300 subjects enrolled in the ongoing DILIN prospective study.

Patients and Methods

The DILIN prospective study is an ongoing multicenter observational study. The study design and procedures were approved by the institutional review board of each clinical center site, and all enrolled patients provided written, fully informed consent. The study design has been described in detail elsewhere.21 In brief, patients (2 years of age or older) were enrolled in this study if there was a strong clinical suspicion that a liver injury event was caused by a medication or an herbal agent occurring within 6 months before enrollment. Additionally, patients must meet one of the following biochemical criteria for enrollment into this study: (1) aspartate aminotransferase (AST) or alanine aminotransferase (ALT) level >5 times the upper limit of normal (ULN) or alkaline phosphatase level >2 times the ULN (or pretreatment baseline if baseline level is abnormal) on 2 consecutive occasions, (2) total serum bilirubin level >2.5 mg/dL along with elevated AST or ALT or alkaline phosphatase level, or (3) international normalized ratio (INR) >1.5 with elevated AST or ALT or alkaline phosphatase level. Known or suspected acetaminophen toxicity and a history of bone marrow or liver transplantation before the liver injury event were exclusion criteria. Patients with underlying hepatitis C virus (HCV), hepatitis B virus, or nonalcoholic fatty liver disease were eligible if they developed superimposed DILI; however, those with other types of underlying chronic liver disease (eg, autoimmune liver disease, sclerosing cholangitis) were ineligible. Subjects with known or suspected acetaminophen hepatotoxicity or a history of bone marrow or liver transplantation were excluded.

Eligible patients were seen for a baseline study visit, during which a medical history and a detailed history of the liver injury event and exposure to the implicated agent(s) were obtained and clinical, laboratory, histologic, and imaging results were extracted from the medical chart. At this time, further laboratory testing was performed to more fully characterize the DILI event and to exclude competing etiologies.1, 2 All enrolled individuals were followed up for at least 6 months, and those with evidence of chronic DILI were asked to return at 12 and 24 months. Chronic DILI was defined as persistent liver-related laboratory, radiologic, or histologic abnormalities at 6 months after DILI recognition.21

In the clinical characterization of DILI, the ratio of serum ALT (as a multiple of its ULN) to serum alkaline phosphatase (as a multiple of its ULN) has been designated as the R (for ratio) value. Hepatocellular DILI is defined as R ≥ 5, cholestatic as R ≤ 2, and “mixed” as R > 2 to R < 5.1, 2 For the purpose of this report, “DILI recognition” was defined as the time point when patients met the enrollment criteria. For brevity, herbal remedies, natural products, vitamins, minerals, and other dietary supplements are referred to hereafter as “dietary supplements.”

The diagnosis of DILI and the causal relationship between the liver injury event and the implicated agent(s) were evaluated in a formal and standardized fashion by the DILIN Causality Committee.22 The causality assessment was conducted for each case by using 2 different causality instruments: the widely used Roussel Uclaf Causality Assessment Method (RUCAM)23, 24, 25 and assigning a DILIN causality score based on the consensus of at least 3 hepatologist members of the committee.22 The RUCAM provides a semiquantitative evaluation of causality by assigning −3 to +3 points to each of its 6 domains. Based on the final score, a causal relationship between the implicated agent and the liver injury event was categorized as highly probable (>8), probable (6–8), possible (3–5), unlikely (1 or 2), or excluded (<0).23, 24, 25

The DILIN causality score categorizes the strength of causal association between the implicated agent and the liver injury event as definite (>95% likelihood), highly likely (75%–95%), probable (50%–74%), possible (25%–49%), and unlikely (<25%).21 In addition, the severity of each DILI episode was categorized as one of 5 levels (mild, moderate, moderate-hospitalized, severe, and fatal/transplant) as described elsewhere.21

Data Management and Statistical Analyses

Demographic and clinical data for the first 300 patients enrolled into this ongoing study were extracted on December 1, 2007. Because causality adjudication lags behind data collection, causality assessment was completed on only 254 of the 300 cases. No specific sample size calculations were made to choose a sample size of 300 patients for this largely descriptive report. Simple descriptive statistics, that is, mean ± SD, median with 25th and 75th percentiles, and frequency distributions, were used to characterize the cohort. Between-group differences were assessed using the Kruskal–Wallis test for continuous variables and the likelihood ratio test for categorical variables. For identifying predictors of DILI severity, the severe and fatal/transplant categories were combined into 1 group (severe DILI) and compared with the other 3 groups combined (mild/moderate DILI) using the likelihood ratio test. Subsequently, multivariable logistic regression analysis, consisting of selected clinically relevant variables (age, sex, race) and those with P < .1 on univariate analysis (alcohol consumption, diabetes, duration between exposure and DILI recognition, and pattern of liver injury), was conducted to identify factors independently associated with advanced DILI. All statistical analyses were performed using SAS version 8.1 (SAS Institute, Inc, Cary, NC). P < .05 was considered statistically significant.

Results

Presenting Features

The 300 patients included in this report were enrolled between September 2004 and December 2007. Selected demographic and clinical characteristics are shown in Table 1. Ninety-three percent were adults (≥18 years), 18% were older than 65 years, and 60% were women. Six percent of patients had known liver disease before the onset of DILI, and 3% had underlying human immunodeficiency virus infection. Sixty-nine percent had jaundice during the DILI episode, and 60% were hospitalized. The median duration between first exposure to the implicated agent and DILI recognition was 42 (20–117) days. The duration of exposure before DILI recognition was not different depending on gender or race. The median duration between DILI recognition and study enrollment was 49.5 (21–104) days. At the time of DILI recognition, the values for serum biochemistries (mean ± SD) were as follows: ALT, 788 ± 967 U/L; alkaline phosphatase, 295 ± 272 U/L; total bilirubin, 6.3 ± 6.3 mg/dL; and INR, 1.5 ± 0.9.

Table 1.

Characteristics of Subjects With Different Patterns of Liver Injury


	Entire cohort (N = 300)	Hepatocellular (n = 169)	Cholestatic (n = 68)	Mixed (n = 61)	P
Age, mean ± SD (y)	48±18	44±18	54±16	54±18	<.0001
Proportion aged 65 years or older (%)	18.5	12	26.5	26	.009
Female (%)	60	65	50	57	.09
Self-reported race (%)
White	79	76	84	85	.3
Black	11	11	9	12
Asian	3.7	4.7	1.5	1
Body mass index, mean ± SD (kg/m2)	26.8±6.5	27±7.4	27±5.8	27±4.7	.27
Alcohol use (%)	51	50	50	57	.6
Preexisting liver disease (%)	5.7	8	7	0	.03
Diabetes mellitus (%)	27	16	25	23	.2
Liver biochemistries, DILI recognition (mean ± SD)
ALT (U/L)	788±967	1157±1131	203±160	384±206	<.001
Alkaline phosphatase (U/L)	295±272	190.5±119.5	532±386	305±236	<.001
Total bilirubin (mg/dL)	6.3±6.3	6.2±7.1	7.3±5.6	5.5±4.6	.02
INR	1.5±0.9	1.6±1.1	1.2±0.3	1.3±0.4	.08
Liver biochemistries, peak values (mean ± SD)
ALT (U/L)	985±1168	1426±1314	314±451	465±295	<.001
Alkaline phosphatase (U/L)	390±382	248±167	703±542	378±323	<.001
Total bilirubin (mg/dL)	11.4±10.2	10.5±10.1	14±10.8	10.2±9.4	.02
INR	1.6±1.4	1.9±1.9	1.3±0.5	1.3±0.5	.04
Absolute eosinophils/μL (mean ± SD)	210±310	157±153	221±207	389±653	.14
Severity of liver injury (%)
Mild	27	33	17	23	.01
Moderate	19	15	20	29
Moderate-hospitalized	33	27	44	36.5
Severe	15	16	17	10
Fatal	6	9	2	2
Causality assessment (%)
Definite	32	31	27	38	.5
Very likely	41	43	34	43
Probable	14	13.4	22	8
Possible	20	10	12	8
Unlikely	3	2.8	5.1	4

NOTE. R value could be calculated in 298 patients in whom both ALT and alkaline phosphatase level was available at DILI recognition. P values compare hepatocellular, cholestatic, and mixed categories.

Causative Agents

A single prescription medication was implicated in 217 (73%) of the 300 subjects, whereas single or multiple dietary supplements were implicated in 28 patients (9%). In 55 patients (18%), more than one prescription medicine or a combination of prescription medicine and dietary supplement(s) was implicated. A complete list of agents implicated is provided in Supplementary Table 1 (see supplemental material online at www.gastrojournal.org). Among subjects in whom a single suspect prescription medication was implicated, the major classes of agents were as follows: antimicrobials (antibacterial agents, antiviral agents, antituberculosis agents, and so on) in 45.5%, central nervous system agents (antiepileptic agents, antidepressants, antipsychotics) in 15%, immunomodulatory agents in 5.5%, analgesics (nonsteroidal agents, muscle relaxants) in 5%, antineoplastic agents in 4%, antihypertensive agents in 5%, and lipid-lowering agents in 3.4%. The most common single implicated agents were amoxicillin/clavulanate (n = 23), nitrofurantoin (n = 13), isoniazid (n = 13), and trimethoprim-sulfamethoxazole (n = 13).

Values of R: Types of DILI

The R value was calculated in 298 patients who had both serum ALT and alkaline phosphatase values available on the day of DILI recognition. A total of 169 (57%) were classified as hepatocellular, 68 (23%) as cholestatic, and 61 (20%) as mixed. The clinical and laboratory features of patients with the 3 patterns of DILI are shown in Table 1. Noteworthy were the younger age and higher proportion of women with hepatocellular injury in comparison with cholestatic and mixed liver injury. The absence of preexisting chronic liver disease in the mixed DILI is noteworthy but of unclear significance.

Causality Assessment

Causality adjudication has been completed in 254 of the 300 patients. Using expert opinion, the likelihood of DILI as the reason for the liver injury was deemed definite in 32%, highly likely in 41%, probable in 14%, and possible in 10%. In 9 individuals, DILI was deemed unlikely to be responsible for the liver injury event; in these cases, the final diagnoses were acute hepatitis C in 4, unknown in 3, and polymyositis and benign recurrent intrahepatic cholestasis in 1 each (Supplementary Table 2; see supplemental material online at www.gastrojournal.org).

The RUCAM scores assigned by the site investigator were available for 192 DILI cases caused by a single prescription agent and were ranked as highly probable in 10%, probable in 45%, possible in 36%, unlikely in 5%, and excluded in 4%. Because the RUCAM is designed to attribute causality to an individual implicated agent rather than to assess the global likelihood of DILI, cases with multiple possible causative agents have more than one RUCAM score and those data are reported elsewhere.22

Course of Liver Injury

Following clinical presentation, the peak serum biochemistries (mean ± SD) were as follows: ALT, 985 ± 1168 U/L; alkaline phosphatase, 390 ± 382 U/L; total bilirubin, 11.4 ± 10.2 mg/dL; and INR, 1.6 ± 1.4. The degree of severity of the liver disease was judged to be mild in 27%, moderate in 19%, moderate-hospitalized in 33%, severe in 15%, and resulting in death or liver transplantation in 6%. Selected demographic and clinical characteristics of patients with severe (severe and fatal/transplant cases combined) and mild/moderate (all other cases) disease and the results of the univariate analyses are shown in Table 2. In the multivariate logistic analysis including age, sex, race, coexistent diabetes mellitus, alcohol consumption, smoking, biochemical pattern of liver injury, and the duration between first exposure and DILI recognition as covariates, only the presence of diabetes and alcohol consumption were independently associated with severe DILI (Supplementary Table 3; see supplemental material online at www.gastrojournal.org). The presence of diabetes mellitus was an independent risk factor for severe DILI (odds ratio, 2.69, 95% confidence interval, 1.14–6.45), whereas any alcohol use in the preceding 12 months was a negative predictor of severe DILI (odds ratio, 0.33; 95% confidence interval, 0.15–0.76). Interestingly, the median duration between first exposure to the implicated agent and DILI recognition was significantly longer in severe cases than in mild/moderate cases (65.5 [33–263] vs 35.5 [19–89] days; P = .006), but this association was not statistically significant in the multivariate analysis (Table 2).

Table 2.

Clinical Characteristics of DILI Subjects Categorized by Liver Injury Severity


	Mild/moderate DILI (n = 195)	Severe DILI (n = 51)	P
Age, mean ± SD (y)	50±18	46±16.3	.15
Proportion aged ≥65 years (%)	23	11	.06
Female (%)	57	59	.80
Self-reported race (%)
White	81	67	.10
Black	11	18
Asian	2	8
Body mass index, mean ± SD (kg/m2)	26.4±5.9	27.2±7.8	.90
Alcohol use (%)	57	32	.001
Preexisting liver disease (%)	6	9	.50
Diabetes (%)	25	37	.07
Days between exposure and DILI recognition, median (25th, 75th percentiles)	35.5(19, 89)	65.5(33, 263)	.006
Implicated agent(s) (%)
Single prescription agent	74	80	.40
Single or multiple dietary supplements	7.2	2
Multiple prescription or prescription plus dietary supplements	19	18
Liver biochemistries, values at DILI onset (mean ± SD)
ALT (U/L)	610±685	1218±1559	<.001
Alkaline phosphatase (U/L)	309±284	283±247	.60
Bilirubin (mg/dL)	5.2±5.1	9.1±8.4	<.001
INR	1.2±0.3	2.3±1.6	<.001
Liver biochemistries, peak values (mean ± SD)
ALT (U/L)	733±726	1513±1734	<.001
Alkaline phosphatase (U/L)	388±399	401±354	.001
Bilirubin (mg/dL)	8.9±9.4	18.4±10.2	.50
INR	1.2±0.3	2.9±2.5	<.001
Absolute eosinophil count/μL (mean ± SD)	195±344	197±293	.70
Pattern of liver injury (%)
Hepatocellular	50	69	.06
Cholestatic	27	19
Mixed	23	12.5
Causality score
Definite	32	25.5	.17
Highly likely	41.5	35
Probable	13	22
Possible	10	10
Unlikely	2.6	8
Chronic DILI (%)	17	12	1.0
Liver-related mortality (%)	0	23	<.001
Liver transplantation (%)	0	2.9	.17

Mild DILI: elevated ALT and/or alkaline phosphatase level but serum total bilirubin level <2.5 mg/dL and INR <1.5; moderate DILI: elevated ALT and/or alkaline phosphatase levels and serum total bilirubin ≥2.5 mg/dL or INR ≥1.5; moderate-severe DILI: elevated ALT, alkaline phosphatase, bilirubin, and/or INR levels and patient is hospitalized for DILI or if ongoing hospitalization is prolonged; severe DILI: elevated ALT and/or alkaline phosphatase level and serum bilirubin level ≥2.5 mg/dL and hepatic failure (INR ≥1.5, ascites or encephalopathy); fatal/transplant: patient dies or undergoes transplantation because of DILI event. Advanced DILI consisted of severe and fatal/transplant cases, whereas nonadvanced DILI consisted of 3 other categories.

The median duration between DILI recognition and the peak value for ALT was 1 (0–7) days, for alkaline phosphatase was 4 (0–16) days, and for total bilirubin was 7 (0–17) days. There was no statistically significant relationship between any of these durations and age, pattern of liver injury, implicated agent categories (single prescription agent vs dietary supplement[s] vs multiple agents), and causality or severity scores.

At the 6-month follow-up visit, 13.6% of enrolled patients had met predefined criteria for chronic DILI, 8% had died, and 2.1% had undergone liver transplantation.21 Features of the implicated agent, patient age, and pattern of DILI were not associated with chronicity, mortality, or need for transplantation (Table 3). Among DILI subjects with jaundice at or after presentation (total serum bilirubin level ≥2.5 mg/dL), the median duration between peak bilirubin level and 50% reduction in total bilirubin level was 13 days (4–30 days) and the median duration from peak bilirubin level to a level <2.5 mg/dL was 26.5 days (3–54 days) (Table 4). The patterns and times of changes in serum bilirubin levels did not correlate with clinical features of the DILI cases.

Table 3.

Outcomes of DILI and Recovery of Serum Total Bilirubin Level Entire Cohort


	Overall cohort (n = 300)	Implicated agent(s)			Age (y)			Pattern of DILI
	Overall cohort (n = 300)	Single prescription (n = 217)	Dietary supplements (n = 28)	P	<65 (n = 243)	≥65 (n = 55)	P	Hepatocellular (n = 169)	Cholestatic (n = 68)	Mixed (n = 61)	P
Chronic DILI (%)	13.6	12.7	7.7	.60	13.6	13.3	.96	11.4	17	13.6	.60
6-mo mortality (%)	8.0	9.5	0	.20	6.7	13.3	.14	7.5	14.3	2.1	.07
Transplant (%)	2.1	3.0	0	.50	2.6	0	.3	0.8	0	0	.70

Table 4.

Recovery of Serum Total Bilirubin Level in Those With Jaundice (Serum total bilirubin ≥2.5 mg/dL) at Recognition


	Overall cohort (n = 220)	Implicated agent(s)			Age (y)			Pattern of DILI
Median days (25th, 75th percentile)	Overall cohort (n = 220)	Single prescription (n = 159)	Dietary supplements (n = 20)	P	<65 (n = 179)	≥65 (n = 41)	P	Hepatocellular (n = 116)	Cholestatic (n = 57)	Mixed (n = 47)	P
From DILI recognition to peak bilirubin level	7(2,17)	7(1,17)	6.5(4,13)	.97	7(2,17)	7(1,13)	.6	7(3,14)	7(1,17)	6(0,20)	.8
From peak bilirubin level to 50% reduction	13(4,30)	17(8,33)	19(11,58)	.70	16(7,32)	18(7,43)	.4	14(7,32)	15(4,31)	22(9,31)	.4
From peak bilirubin level to bilirubin level <2.5 mg/dL	26.5(3,54)	35(16,66)	68(37,128)	.08	35(15,73)	47(30,74)	.2	30(14,54)	45(10,74)	32(12,51)	.6

Table 5 shows selected characteristics and causes of death in the 27 patients with suspected DILI who died or received liver transplantation within 180 days following the DILI event. Interestingly, among the 18 patients who died, the cause of death was judged by the investigators to be liver related in only 8 (44%). The mortality in patients with hepatocellular DILI with peak serum total bilirubin level ≥2.5 mg/dL was significantly higher than in those with hepatocellular DILI with serum total bilirubin level <2.5 mg/dL (13.4% vs 2.4%, respectively; P = .04). However, the mortality rate in patients with cholestatic DILI with serum total bilirubin level ≥2.5 mg/dL was not statistically different than in those with cholestatic DILI with bilirubin level <2.5 mg/dL (15% vs 10%, respectively; P = .66). Among 17 patients who died from liver failure or received a transplant, 14 had hepatocellular DILI, whereas 2 had mixed and 1 had cholestatic DILI (Table 5).

Table 5.

Characteristics of Subjects Who Died/Underwent Transplantation Within 6 Months Following DILI Recognition


	Age (y)/sex	Significant comorbidities	Implicated agent(s)	Peak liver biochemistries			Biochemical pattern	Final causality score	Days between onset and outcome event	Outcome
	Age (y)/sex	Significant comorbidities	Implicated agent(s)	ALT (U/L)	Alkaline phosphatase (U/L)	Bilirubin (mg/dL)	Biochemical pattern	Final causality score	Days between onset and outcome event	Outcome
1	34/M	Human immunodeficiency virus, hepatitis B virus, hepatitis D virus	Oxacillin	164	410	1.6	Mixed	Possible	106	Death due to drug overdose
2	70/M	Acute myelogenous leukemia	Fluconazole	137	394	19.1	CS	Possible	111	Death due to acute myelogenous leukemia
3	52/M	Tonsillar carcinoma, chronic obstructive pulmonary disease, HCV	Oxacillin	366	102	0.9	HC	Definite	117	Death due to cancer
4	81/F	Familial adenomatous polyposis, pulmonary fibrosis, urinary tract infection	Nitrofurantoin	215	119	0.8	Mixed	Very likely	86	Death due to pulmonary fibrosis
5	34/M	Diabetes mellitus, dialysis, bacteremia	Irbesartan + hydrochlorothiazide	110	1660	17	CS	Possible	133	Death due to renal failure
6	1/Fa	Tetralogy of Fallot	Amoxicillin	2108	445	24.6	HC	Possible	10	Death: liver failure
7	80/F	Congestive heart failure, systemic arterial hypertension, atrial fibrillation	Amlodipine	70	339	17.3	HC	Very likely	43	Death: liver failure
8	48/M	Melanoma, ?HCV	Temozolomide	852	151	3.9	HC	Not adjudicated	110	Death due to cerebral bleed
9	62/F	Ulcerative colitis, hypothyroidism	Cefuroxime Nystatin	1532	435	30.4	HC	Not adjudicated	53	Death due to acute respiratory distress syndrome
10	63/M	Acute myelogenous leukemia	XL 999-207	1606	123	5.1	HC	Not adjudicated	5	Death due to acute myelogenous leukemia
11	66/M	Congestive heart failure, subdural hematoma, coronary artery bypass graft	Amlodipine	70	339	17.3	CS	Possible	43	Death due to congestive heart failure
12	66/M	Cirrhosis, hyperlipidemia	Ezetimibe + simvastatin	138	145	10.5	Mixed	Probable	129	Death: liver failure
13	46/F	Spina bifida, Arnold–Chiari malformation, neurogenic bladder	Nitrofurantoin	1988	338	31.5	HC	Very likely	7	Death: liver failure
14	58/M	Mitral valve replacement, atrial fibrillation, coronary artery bypass graft	Bupropion	1459	292	22.7	HC	Probable	104	Death: liver failure
15	61/F	Diabetes mellitus, hypertension, chronic renal failure, vascular disease	Levofloxacin Clindamycin	116	1098	10.4	CS	Very likely	172	Death: liver failure
16	33/F	Multiple sclerosis, morbid obesity	Interferon beta	1901	224	25.3	HC	Definite	87	Death: liver failure
17	53/M	Systemic arterial hypertension, depression, anxiety, neuropathy	Azithromycin Ceftriaxone	427	175	0.4	HC	Possible	144	Death unrelated to DILI
18	57/M	Aplastic anemia	Antithymocyte globulin	417	463	12.8	HC	Unlikely	7	Death due to aplastic anemia
19	44/F	None	CVS Spectravite Performance	726	212	25.4	HC	Probable	16	Transplant
20	27/M	None	Diphenoxylate/atropine	789	210	43	HC	Unlikely	147	Transplant
21	59/F	Rheumatoid arthritis, hyperlipidemia	Leflunomide Lovastatin	3140	283	33	HC	Very likely	31	Transplant
22	41/F	None	Terbinafine	778	143	29.5	HC	Possible	17	Transplant
23	39/F	Systemic arterial hypertension	Isoniazid	850	497	16.0	HC	Not adjudicated	24	Transplant
24	30/F	Migraines, gastritis	Promethazine	455	861	13.5	Mixed	Not adjudicated	52	Transplant
25	29/F	Bipolar disorder, hyperlipidemia	Valproate Quetiapine	4090	307	18.5	HC	Not adjudicated	7	Transplant
26	59/F	Anxiety, depression, uterine carcinoma	Fluoxetine	400	429	16.4	HC	Not adjudicated	11	Transplant
27	51/F	Diabetes mellitus, systemic arterial hypertension, severe obesity	Telithromycin	833	197	21.1	HC	Definite	56	Transplant

CS, cholestatic; HC, hepatocellular.

Enrolled through exemption.

Dietary Supplements

Dietary supplements were implicated in 33 subjects with DILI; one or more dietary supplements were implicated in 28, whereas they were implicated in combination with one or more prescription agents in the remaining 5. In many cases, multiple agents were being used; even when a single preparation was used, it often contained multiple herbal or nutritional components, so that attribution of liver injury to a single component was rarely possible. The names of all implicated herbal agent(s) are shown in Supplementary Table 1 (see supplemental material online at www.gastrojournal.org). The stated reasons for consuming these dietary supplements were muscle building (n = 11), weight loss (n = 8), insomnia (n = 2), general well-being (n = 2), preventing common cold (n = 2), increasing energy levels (n = 2), and hot flashes (n = 1). Compared with 217 cases due to single prescription medications, 28 DILI cases caused by dietary supplements showed few differences, none of which were statistically significant (Supplementary Table 4; see supplemental material online at www.gastrojournal.org). Patients with DILI due to dietary supplements had higher mean levels of serum total bilirubin (14.7 ± 13 vs 10.6 ± 9.9 mg/dL; P = .11) and longer median duration for the jaundice to resolve (68 vs 35 days; P = .08), but these trends were of borderline statistical significance. There were no instances of Stevens–Johnson syndrome or death due to dietary supplements, but one subject with suspected DILI due to CVS Spectravite developed acute liver failure necessitating liver transplantation.

Discussion

This is an initial analysis of an ongoing prospective study of DILI being performed in the United States, the primary aim of which is to develop well-characterized cases of medication-related liver injury on which to conduct hypothesis-driven research aimed at developing means to diagnose, prevent, and treat DILI. Among the first 300 cases identified, more than 100 different medications, herbal supplements, and dietary supplements were implicated. Newly identified hepatotoxic drugs that had received Food and Drug Administration warnings between 2003 and 2007 were identified by DILIN (eg, telithromycin, leflunomide, duloxetine), suggesting that a prospective network such as DILIN may be able to provide early detection of the hepatotoxic potential of newly released medications. An important finding was that more than one agent was implicated in causing liver injury in ∼20% of cases, a frequency significantly higher than the 9% reported from a similar study that had been conducted in Spain.26 The reason for this difference is unclear, but it may reflect higher use of medicines by the US population. Consistent with previous reports, antimicrobials represented the single largest class of agents to have caused DILI.26, 27, 28, 29 It remains unclear why antimicrobials have such a high propensity to cause DILI, but it may be related to greater use of antimicrobials in the general population or biological reasons such as underlying infection and inflammation conferring increased susceptibility.30

The proportion of cases with suspected DILI caused by dietary supplements was nearly 10% and is higher than reported in the Spanish registry, likely reflecting a greater use of these products by the US population.26 None of the subjects with suspected DILI caused by dietary supplements were children. The intake of these compounds may be infrequent in children; however, we cannot exclude the possibility that children may be less susceptible than adults to hepatotoxicity by dietary supplements. Compounds that claim to promote muscle building and weight loss were the 2 most common classes of dietary supplements, accounting for nearly 60% of cases. The total number of cases of DILI due to dietary and herbal supplements was small (n = 28), and no single supplement was responsible for more than one case, although, as a class, supplements that include extracts of green tea as a major ingredient caused at least 6 of the 28 cases.

The findings regarding the rate of change of serum total bilirubin levels after onset of DILI may be of practical relevance in monitoring and counseling patients with DILI (Table 3, Table 4). The total serum bilirubin level reached its peak an average of 1 week after DILI recognition, and this timing was independent of patient age, pattern of liver injury, or whether caused by prescription agents or dietary supplements. Among patients with jaundice, it took nearly 1 month on average for the jaundice to resolve, but this interval was longer in the elderly, in patients with cholestatic forms of DILI, or in patients with DILI caused by dietary supplements.

Acute hepatitis C was the final diagnosis in 4 of the 9 cases that were adjudicated as “unlikely” to be DILI. Anti-HCV was initially negative in 2 subjects, but they subsequently seroconverted to detectable viremia. In 2 other patients, initial testing revealed the presence of anti-HCV, but the site investigators at the time of enrollment believed them to represent chronic rather than acute hepatitis C, largely because both patients lacked recent risk factors for acquiring viral hepatitis. However, the availability of additional clinical data (eg, liver histology) made HCV infection rather than DILI the likely explanation for the acute event (Supplementary Table 2). These 4 patients did not admit to high-risk behaviors (eg, recent drug abuse), but 3 had been hospitalized recently. These findings suggest that, even in the absence of risk factors, acute hepatitis C should be excluded by testing for serum HCV RNA in all patients with suspected DILI, especially if there is a history of recent hospitalization and a hepatocellular pattern of injury. In fact, in light of these findings, our protocol was amended to obtain HCV RNA at the baseline visit in all enrolled patients. As better diagnostic tests become available for specific causes of acute liver injury, more cases of suspected DILI may be found to have other etiologies. Indeed, in a recent series from the United Kingdom, retrospective testing for antibody to hepatitis E virus in 69 patients with presumed DILI identified 6 patients with probably acute hepatitis E.31

In a cohort study of 461 patients with DILI from Spain, female sex, hepatocellular patterns of liver injury, and total serum bilirubin level on presentation were identified as independent predictors of acute liver failure.26 In the current US study, there was no relationship between female sex and severity of DILI; furthermore, the positive association between hepatocellular injury and severity of DILI was of borderline significance. Total serum bilirubin levels were higher in patients with severe DILI, but bilirubin is used in the criteria to define severity and therefore was not used in the multivariate analysis of factors correlating with severity and outcome. In this study, the presence of diabetes mellitus was found to be an independent risk factor for severe DILI. Diabetes was not considered as a covariate in previous studies from Spain26 and Sweden.29 However, epidemiologic and animal studies suggest that diabetes is associated with an increased incidence of acute liver failure and severity of DILI.32, 33, 34, 35 Alcoholism is generally believed to be a risk factor for developing DILI (particularly injury due to acetaminophen), and, in the RUCAM causality instrument, points are given in favor of DILI for alcohol intake. However, outside of acetaminophen and isoniazid toxicity, the association between alcohol consumption and susceptibility to DILI has not been evaluated rigorously.1, 2, 3 The finding that alcohol consumption protected against severe DILI in this study was surprising and of uncertain significance. A major difficulty is the variability of definitions of alcohol intake and alcoholism in various studies and causality instruments. In this study, alcohol consumption was defined as any alcohol intake in the preceding 12 months. Additional studies are needed to determine if alcohol consumption may play a role in DILI susceptibility by comparing subjects with DILI with suitably matched controls without DILI. Previous studies also have shown associations between severe DILI and older age329 and eosinophil counts,35 but these were not confirmed in this study. The latter may not have been identified due to the lag between DILI recognition and study enrollment (median ∼42 days). In a study of 95 patients with suspected DILI from Japan,36 the duration of exposure to the implicated agent was longer in cases of acute liver failure compared with less severe cases (81 ± 89 vs 30 ± 44 days, respectively; P < .0001 by univariate analysis). In this study, the duration of exposure to the implicated agent was significantly longer in individuals with severe DILI, but this relationship was not statistically significant on multivariate analysis.

The mortality rate of DILI is generally high, particularly in cases with jaundice and a hepatocellular pattern of injury, colloquially known as “Hy's rule.”37 The 8% mortality rate in this study is in general agreement with prior reports.26, 29 Although patients with cholestatic DILI have been thought to have a better prognosis than those with hepatocellular DILI,37 this association was not found in this study and has not been consistently found in recent large case series from Europe26, 29 (Table 6). Importantly, most of the fatalities in patients with cholestatic forms of DILI were due to reasons other than liver failure (Table 5). The mortality rate of hepatocellular forms of liver injury with jaundice in this study was 15%, which is compatible with Hy's rule, which states that the average mortality rate in patients with jaundice and a hepatocellular pattern of injury from DILI is at least 10%.38

Table 6.

Mortality Rates and Biochemical Injury Pattern Reported in Recent Reports


Reference	Hepatocellular (%)	Cholestatic (%)	Mixed (%)
Björnsson and Olsson29	12.7	7.8	2.4
Andrade et al26	7	5	2
Chalasani et al (current report)	7.5	14.3	2.1

Limitations of our study include the potential for selection bias, the arbitrary laboratory entry criteria, and the lack of international standards for diagnosing DILI. However, all patients were prospectively studied and had undergone a complete serologic, radiologic, and clinical assessment by experienced hepatologists. In addition, causality was determined by a committee of experts using standardized terminology.21 Overall, we may have enrolled patients with more severe DILI than is encountered in the general population and in other prior studies.39 This may be due to the fact that hospitalized patients were more likely to be referred to a DILIN investigator or undergo a complete evaluation. In addition, nearly 50% of our patients had undergone liver biopsy. However, a reasonable number of pediatric patients were enrolled (7%) and a broad distribution of race/ethnicities was enrolled. In addition, our limited sample size precludes robust analysis of risk factors for DILI outcome. We plan to conduct additional multivariate analyses once the total enrollment increases. Finally, susceptibility risk factors for DILI will require comparing enrolled patients with control patients who took the same medication but did not develop liver injury. Appropriate controls will be recruited as the number of DILI cases caused by individual medications increases in number.

In summary, DILI in the United States is caused by a wide variety of prescription and nonprescription medications, nutritional supplements, and herbal supplements. The antimicrobials represent the single largest class of agents that cause DILI, accounting for at least 45% of cases. At least 20% of patients with DILI ingest more than one potentially hepatotoxic agent. Acute hepatitis C should be carefully excluded before attributing a case of acute liver injury to DILI. In this study, coexistent diabetes mellitus was an independent risk factor for more severe DILI, while alcohol consumption was a negative predictive factor. DILI with jaundice from hepatocellular liver injury carries a high mortality rate, but the mortality rate associated with cholestatic forms of DILI is also appreciable although often caused by worsening of the underlying condition or an unrelated disease. DILI still represents an important and problematic cause of acute liver disease in the United States, and further efforts are needed in defining its pathogenesis and developing means for its early detection, accurate diagnosis, prevention, and treatment.

Members of DILIN thank all coinvestigators, research coordinators, referring physicians, and most importantly patients for their participation in this study, as well as the late Harry Guess, MD, PhD (Professor of Epidemiology and Pediatrics, University of North Carolina at Chapel Hill) for his contributions to DILIN.

Appendix

Full Listing of the DILIN Members

Clinical Centers

Indiana University

Naga Chalasani, MD (PI), Raj Vuppalanchi, MD (co-I), Jean Molleston, MD (co-I), Lawrence Lumeng, MD (co-I), Audrey Corne (research coordinator), Angie Plummer (research coordinator)

University of Connecticut

Herbert Bonkovsky, MD (PI), Petr Protiva, MD (co-I), James Freston, MD, PhD (co-I), Robert Rosson, MD (co-I), Robert A. Levine, MD (Satellite site investigator), Benedict Maliakkal, MD (Satellite site investigator), Paul Appleton, MD (Research coordinator), Mariola Smialek, RN (research coordinator)

University of Michigan

Robert J. Fontana, MD (PI), Hari Conjeevaram, MD (co-I), Stuart Gordon, MD (Satellite site investigator), Suzanne Welch (research coordinator), Jessica Worley (research coordinator); Jordan Kridler (research coordinator).

University of North Carolina

Paul Watkins, MD (PI), Paul Hayashi, MD (co-I), Mark Russo, MD (co-I), Late Harry Guess, MD, PhD (co-investigator), Kimberly Beaver, MD (Satellite site investigator), Alastair Smith, MD (Satellite site investigator), James Lewis, MD (Satellite site investigator), Susan Pusek (Research coordinator)

University of California, San Francisco

Tim Davern, MD (PI), Maurizo Bonacini, MD (co-I), Kristine Partovi (research coordinator)

Data Coordinating Center

Duke Clinical Research Institute

James Rochon, MD (PI), John McHutchison, MD (co-I), Don Rockey, MD (co-I), Mary Maggio (project manager), Hongqiu Yang, PhD (biostatistician)

NIDDK Scientists

Jose Serrano, MD (Project officer), Leonard Seeff, MD, Jay Hoofnagle, MD

*Mark Avigan, MD and John Senior, MD, employees of the U.S. Food and Drug Administration have participated in selected aspects of the DILIN activities.

Supplementary Table 1.

Implicated Causative Agents in 300 Subjects With Suspected DILI (Regardless of the Causality Scores)


Single prescription agent (n = 217)	Herbal agent(s) (n = 28)	Multiple prescription agents or prescription agent(s) plus herbal agents (n = 55)
Amoxicillin/clavulanate (n = 23) Nitrofurantoin (n = 13) Isoniazid (n = 13) TMP/SMX (n = 9) Duloxetine (n = 6) Valproate (n = 6) Interferon beta (n = 6) Ciprofloxacin (n = 5) Lamotrigine (n = 5) Methyldopa (n = 5) Telithromycin (5) Phenytoin (n = 5) Diclofenac (n = 4) Terbinafine (n = 4) Levofloxacin (n = 4) 3 cases each: atomoxetine, azithromycin, oxacillin, atorvastatin, etanercept, mercaptopurine, minocycline, investigational agents 2 cases each: allopurinol, amiodarone, amoxicillin, antithymocyte globulin, doxycycline, nevirapine, ranitidine, celecoxib, desflurane, buproprion, fluoxetine, fluconazole 1 case each: acitretin, Avalide, itraconazole, amitryptiline, lefluonamide, linezolid, amlodipine, lisinopril, diphenoxylate/atropine, artesunate, bortezomib, meloxicam, methylphenidate, moxifloxacin, cefaclor, cephalexin, cefazolin, cefuroxime, nicotinic acid, oxaprozin, octreotide, ceftriaxone, gentamicin, ketoconazole, pravastatin, promethazine, chlorzoxazone, propafenone, pyrazinamide, cilastatin/imipenam, clindamycin, cyclophosphamide, disulfiram, docetaxel, efavirez, estradiol, fenofibrate, fluvastatin, gabapentin, glipizide, Glucovance, hydralazine, imatinib, interleukin, quinapril, rifampin, salsalate, sertraline, sevoflurane, simvastatin, temozolamide, topiramate, valacyclovir, verapamil, Vytorin, Yasmin	Right approach Green tea (mega tea, Arizona green tea) Lavender oil, Frankincense oil, Nixia red Melatonex DHEA, M one T (17 α methyl 1-testesterone) Slim Quick Lipozene Airborne, G3 (Gac fruit juice with other Chinese fruit juices) Dexatrim Creatine Formula 2 Multivitamin Complex (Herbalife), Xtra-Cal (Herbalife) Formula 2 Multivitamin Complex (Herbalife Formula 2), Herbalife Cell Activator, Herbalife shake, Herbalife Total Control, Herbalife Xtra-Cal Methyl masterdrol, VPX Redline Fat Burner Testron-Sx, Proendorphan Infinit nutrition formula Hydroxycut Niacin Cimicifuga racemosa Airborne MT-80 (methyl testosterone), Tight yohimbine Superdrol (methasterone), Anadrol (oxymetholone) Shredded mass Oxodrol 2 (2α 17α dimethyl 5α androst 3-one) N.O. Xplode Artemisin, Blue Moon cloves, Kroger-herbal rescue, Blue moon ginger, Black Walnut, Hull tincture, Dandelion root, Cayenne extract, Slippery elm bean Warm Wood, Cat's claw, Chelex IP6, All one powder, Pectasol, I-flora, Artemisin, Co Q10 with Hawthrone berry, ImmPower, Digestive enzymes, HCL Cellulase capsules, mannapol, immune enhancing mega, aloe vera formula, flaxseed oil, prostate care, evening primrose oil, Intestinal support, Essiac tea, Flor-Essence	TMP/SMX + levofloxacin Atorvastatin + nitrofurantoin Valproate + levofloxacin Moxifloxacin, ciprofloxacin + amoxicillin/clavulanate Pregabalin + simvastatin Metoprolol, diltiazem + alprazolam Combivir + nelfinavir (2 cases) Isoflurane + lorazepam Phenytoin + levofloxacin Levofloxacin + clindamycin Cyclophosphamide + doxorubicin Disulfiram + lisinopril Nitrofurantoin, Source of Life multivitamin mineral + full-spectrum mineral Simvastatin + ezetimibe (2 cases) TMP/SMX + tetracycline Amlodipine + paroxetine Combivir + Kaletra Ciprofloxacin + metronidazole Cefuroxime + nystatin Cephalexin + levofloxacin Amoxicillin, Methyl 1-D + Cell-Tech Allopurinol + rosiglitazone Leflunomide + lovastatin Leflunomide + Harpagophytum procumberns Carbamazepine + fluvoxamine Valproate + quetiapine Ibuprofen + valdecoxib Amlodipine + celecoxib Azithromycin + ceftriaxone Nitrofurantoin + azithromycin Hydroxychloroquine + leflunomide Escitalopram + levofloxacin Lisinopril, cyclophosphamide + diltiazem Testostazine + rosuvastatin Amiodarone + atorvastatin Creosote + propofol Isoniazid + pyrazinamide Telithromycin + doxycycline Kaletra + Epzicom Mercaptopurine + metronidazole Sevoflurane + oxcarbazepine Telithromycin + nitrofurantoin Isoniazid + fenofibrate Telithromycin + amoxicillin/clavulanate Thiamazole + modafinil Gatifloxacin + amoxicillin/clavulanate Lansaprazole + modafanil Lamotrigine, lovastatin + lithium Glibenclamide + doxyclycine Azithromycin + TMP/SMX Diclofenac, lovastatin + clindamycin Valsartan + levofloxacin Valacyclovir + Advicor

NOTE. This includes all cases regardless of their level of causality association. It is difficult to describe causality scores in this table; for example, 23 cases of amoxicillin/clavulanate will have different levels of causality scores. See Supplementary Table 2 to see compounds implicated in “unlikely” DILI cases (n = 9).

TMP/SMX, trimethoprim-sulfamethoxazole.

Supplementary Table 2.

Characteristics of Enrolled Subjects Who Were Finally Adjudicated as “Unlikely” to Have DILI (n = 9)


	Age	Sex	Biochemical pattern	Peak bilirubin level (mg/dL)	Initial implicated agent	Final diagnosis	Comment
1	69	Female	Hepatocellular	0.6	Atorvastatin	Polymyositis	Additional data became available during the follow-up period that suggested an alternate diagnosis.
2	39	Female	Hepatocellular	13.9	Linezolid	Acute hepatitis C	Hepatitis C antibody was negative initially, but both anti-HCV antibody and hepatitis C RNA were positive subsequently and repeatedly. Two years following this episode, she spontaneously cleared her hepatitis C. Patient had a history of recent hospitalization for the treatment of cellulitis and osteomyelitis.
3	51	Male	Mixed	12	Combivir/Kaletra	Liver failure of unknown etiology	Initially his liver biochemistries improved upon discontinuation of suspected agents. However, he experienced recurrent episodes of jaundice with spontaneous improvement and exacerbation. He eventually died of liver failure at a local hospital.
4	16	Female	Cholestatic	23	TMP/SMX	Recurrent cholestasis	Additional history revealed that this patient had recurrent benign intrahepatic cholestasis with spontaneous exacerbations and had received TMP/SMX on multiple previous occasions.
5	27	Male	Hepatocellular	30	Diphenoxylate/atropine (Lomotil)	Liver failure of unknown etiology	There was strong suspicion that this individual has consumed but not admitted use of anabolic steroids. Temporal relationship made Lomotil an unlikely culprit.
6	56	Female	Mixed	27	Gentamycin	Acute hepatitis C	Patient's anti-HCV antibody and HCV polymerase chain reaction were positive during the acute episode, but the site investigator considered it to be preexisting chronic infection and acute jaundice was believed to be unrelated to HCV. The Causality Committee adjudicated the acute event as unlikely due to DILI and assigned acute hepatitis C as the more likely diagnosis. Patient had recent hospitalization during which he received gentamicin.
7	62	Male	Hepatocellular	13.3	Isoflurane/Glipizide	Acute hepatitis C	Anti-HCV antibody tested during the acute event by the referring physician was negative, forming one of the bases for his enrollment, but his enrollment laboratory tests revealed positive anti-HCV antibody and HCV polymerase chain reaction. Patient had recent hospitalization and surgery.
8	51	Male	Hepatocellular	17.1	Levofloxacin	Acute hepatitis C	Anti-HCV antibody testing at enrollment was positive, but the site investigator considered the jaundice episode to be unrelated to hepatitis C because the patient lacked recent risk factors and also the episode had a strong temporal relation to levofloxacin exposure. However, the Causality Committee adjudicated the jaundice episode as unlikely related to DILI and considered acute hepatitis C as the more likely possibility.
9	57	Female	Cholestatic	12.8	Antithymocyte globulin	Unknown	Temporal and exposure to multiple agents and other acute illnesses made DILI an unlikely possibility.

TMP/SMX, trimethoprim-sulfamethoxazole.

Supplementary Table 3.

Variables Independently Associated With Severe DILI


Variable	DF	Wald χ2	Pr > χ2
Age	1	1.6235	0.2026
Sex	1	0.0011	0.9741
Race	4	1.9542	0.7442
Alcohol	1	6.8321	0.0090
Diabetes mellitus	1	5.0603	0.0245
Duration between exposure and DILI recognition	1	0.4665	0.4946
Pattern of liver injury	2	4.0097	0.1347

Supplementary Table 4.

Characteristics of Patients With Suspected DILI Caused by Dietary Supplements as Compared With Single Prescription Agents


	Single prescription agent group (n = 217)	Dietary supplement(s) group (n = 28)	P
Age (y), mean ± SD	47 ± 19	45 ± 12	.25
Female (%)	61	50	.30
Body mass index (kg/m2), mean ± SD	26.8 ± 6.7	26.7 ± 5.2	.70
Self-reported race (%)
White	78	82	.70
Black	10	7
Asian	5	0
Preexisting liver disease (%)	5	10	.30
Prior drug allergies (%)	49	46	.80
Diabetes (%)	27	21	.65
Alcohol (%)	49	68	.05
Current smoking (%)	17	11	.56
Days between (median, 25th and 75th percentiles)
Exposure and DILI recognition	40(19,117)	54(36,109)	.20
DILI recognition and peak bilirubin level	7(1,17)	6.5(4,13)	.97
Peak bilirubin level and 50% reduction	17(8,33)	19(11,58)	.36
Peak bilirubin level and level <2.5 mg/dL	35(16,66)	68(37,128)	.08
Stevens–Johnson syndrome (%)	1.4	0	1.00
Absolute eosinophil count/μL (mean ± SD)	191 ± 341	128 ± 105	.30
Liver biochemistries, peak values
ALT (U/L), mean ± SD	996 ± 1217	1028 ± 1016	.80
Alkaline phosphatase (U/L), mean ± SD	360 ± 305	300 ± 284	.26
Total bilirubin (mg/dL), mean ± SD	10.6 ± 9.9	14.7 ± 13.0	.11
INR	1.6 ± 1.5	1.6 ± 2.2	.15
Biochemical pattern (%)
Hepatocellular	56	63	.80
Cholestatic	24	17
Mixed	20	21
Severity of liver injury (%)
Mild	26	29	.90
Moderate	21	24
Moderate-hospitalized	31	35
Severe	16	6
Fatal	6	6
Causality assessment (%)
Definite	34	39	.90
Very likely	37	39
Probable	14	17
Possible	10	6
Unlikely	4	0
Chronic DILI (%)	12	9	1.00
Death (%)	11	0	.14
Liver transplant (%)	0.6	3.5	1.00

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⁎ Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana

‡ Clarian/Indiana University Digestive Diseases Center, Indianapolis, Indiana

§ Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan

∥ Cannon Research Center and Center for Liver and Digestive Diseases, Carolinas Medical Center, Charlotte, North Carolina

¶ Department of Internal Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina

# Department of Internal Medicine, University of Connecticut, Farmington, Connecticut

⁎⁎ Department of Internal Medicine, University of California, San Francisco, San Francisco, California

‡‡ Liver Disease Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland

§§ Duke Clinical Research Institute, Durham, North Carolina

Address requests for reprints to: Naga Chalasani, MD, Indiana University School of Medicine, RG 4100, 1050 Wishard Boulevard, Indianapolis, Indiana 46202. fax: (317) 278-1949

DILIN is supported by the National Institute of Diabetes and Digestive and Kidney Diseases under the following cooperative agreements: 1U01DK065201, 1U01DK065193, 1U01DK065184, 1U01DK065211, 1U01DK065238, and 1U01DK065176.

The authors disclose the following: N.C. served as a paid consultant in the preceding 12 months to Takeda Pharmaceuticals, AtheroGenics, Advanced Life Sciences, Kari Bio, Metabasis, Pfizer, and Eli Lilly. He received research grant support from Debiovision and Sanofi-Aventis. On his behalf, his institution has initiated contract negotiations with Gilead Sciences and Pfizer for conducting clinical trials unrelated to drug-induced liver injury. He served as an expert witness for a product liability litigation involving suspected drug-induced liver injury.

R.J.F. has served on the speakers' bureau or as a paid consultant during the past 12 months to Roche, Bristol-Myers Squibb, Vertex Pharmaceuticals, and Gilead Sciences.

H.L.B. served as a paid advisor to InfaCare Pharmaceuticals, Novartis Pharmaceuticals, and Ovation Pharmaceuticals. He is on the speakers' bureau of Ovation Pharmaceuticals. He receives support for research studies from the American Porphyria Foundation, Merck, Novartis, Roche, and Vertex. During the past 12 months, he has served as an expert witness for plaintiffs in litigation regarding suspected drug-induced liver injury.

P.B.W. served as a paid consultant in the preceding 12 months to the following pharmaceutical companies: Actelion, Aldus, Astellas, Bristol-Myers Squibb, Boehringer-Ingleheim, Danube, Endo, FibroGen, GlaxoSmithKline, Hoffmann-La Roche, Imtech, King, Millennium, Merck, Novartis, Nuon, Orion, Pfizer, Pharmasset, Schering Plough, TAP, Valiant, VIA, and Wyeth. He served as both a plaintiff and a defense expert in litigation involving suspected drug-induced liver injury.

T.D. served as a paid consultant to Entelos and FibroGen. He served as both a plaintiff and a defense expert in litigation involving suspected drug-induced liver injury.

J.S., H.Y., and J.R. have no potential conflicts of interest to report.

Members of DILIN include the following: Clinical Centers—Indiana University: Naga Chalasani, MD (primary investigator), Raj Vuppalanchi, MD (coinvestigator), Jean Molleston, MD (coinvestigator), Lawrence Lumeng, MD (coinvestigator), Audrey Corne (research coordinator), Angie Plummer (research coordinator); University of Connecticut: Herbert Bonkovsky, MD (primary investigator), Petr Protiva, MD (coinvestigator), James Freston, MD, PhD (coinvestigator), Robert Rosson, MD (coinvestigator), Robert A. Levine, MD (satellite site investigator), Benedict Maliakkal, MD (satellite site investigator), Paul Appleton, MD (research coordinator), Mariola Smialek, RN (research coordinator); University of Michigan: Robert J. Fontana, MD (primary investigator), Hari Conjeevaram, MD (coinvestigator), Stuart Gordon, MD (satellite site investigator), Suzanne Welch (research coordinator), Jessica Worley (research coordinator), Jordan Kridler (research coordinator); University of North Carolina: Paul Watkins, MD (primary investigator), Paul Hayashi, MD (coinvestigator), Mark Russo, MD (coinvestigator), the late Harry Guess, MD, PhD (coinvestigator), Kimberly Beaver, MD (satellite site investigator), Alastair Smith, MD (satellite site investigator), James Lewis, MD (satellite site investigator), Susan Pusek (research coordinator); University of California, San Francisco: Tim Davern, MD (primary investigator), Maurizo Bonacini, MD (coinvestigator), Kristine Partovi (research coordinator). Data Coordinating Center—Duke Clinical Research Institute: James Rochon, MD (primary investigator), John McHutchison, MD (coinvestigator), Don Rockey, MD (coinvestigator), Mary Maggio (project manager), Hongqiu Yang, PhD (biostatistician); National Institute of Diabetes and Digestive and Kidney Diseases Scientists: Jose Serrano, MD (project officer), Leonard Seeff, MD, Jay Hoofnagle, MD, Mark Avigan, MD, and John Senior, MD, employees of the US Food and Drug Administration, have participated in selected aspects of DILIN activities.

PII: S0016-5085(08)01674-0

doi:10.1053/j.gastro.2008.09.011

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