Abstract
Drug induced liver injury (DILI) is considered to be a diagnosis of exclusion. Liver biopsy may contribute to diagnostic accuracy, but the histological features of DILI and their relationship to biochemical parameters and outcomes are not well defined. We have classified the pathological pattern of liver injury and systematically evaluated histological changes in liver biopsies obtained from 249 patients with suspected DILI enrolled in the prospective, observational study conducted by the Drug Induced Liver Injury Network. Histological features were analyzed for their frequency within different clinical phenotypes of liver injury and to identify associations between clinical and laboratory findings and histological features. The most common histological patterns were acute (21%) and chronic hepatitis (14%), acute (9%) and chronic cholestasis (10%) and cholestatic hepatitis (29%). Liver histology from 128 patients presenting with hepatocellular injury had more severe inflammation, necrosis and apoptosis and more frequently demonstrated lobular disarray, rosette formation and hemorrhage than those with cholestasis. Conversely, histology of the 73 patients with cholestatic injury more often demonstrated bile plugs and duct paucity. Severe or fatal hepatic injury in 46 patients was associated with higher degrees of necrosis, fibrosis stage, microvesicular steatosis and ductular reaction among other findings, while eosinophils and granulomas were found more often in those with milder injury. In summary, we describe an approach for evaluating liver histology in DILI and demonstrate numerous associations between pathological findings and clinical presentations that may serve as a foundation for future studies correlating DILI pathology with its causality and outcome.
Introduction
Drug-induced liver injury (DILI) is an important cause of liver disease with significant morbidity and mortality (1, 2). Accurate and early diagnosis is important but challenging (3, 4). There are no specific markers or diagnostic tests for DILI and the diagnosis is by exclusion (5). In many instances, liver histology is considered helpful in strengthening the diagnosis or excluding other potential causes of liver injury. A key aspect of this evaluation is careful classification of the pattern of injury and a detailed description of the histological findings(6, 7), yet there are limited examples of the application of this method across the spectrum of histological injury found in DILI. The Drug-Induced Liver Injury Network (DILIN) is an ongoing, multicenter observational study of consecutive cases of DILI enrolled at eight geographically distributed academic medical centers in the United States (8). The central aims of the DILIN Network are to more fully characterize the clinical syndromes of liver injury caused by prescription and nonprescription medications, herbals and dietary supplements (HDS), to standardize terminology and grading systems, and to provide resources for mechanistic studies of DILI. For these purposes, carefully accrued clinical cases of suspected DILI are enrolled and followed longitudinally. Each case is reviewed by a Causality Committee using a formal adjudication process (9).
In this study liver biopsies taken at the time of presentation as part of a diagnostic assessment provided an opportunity to systematically assess the patterns of injury across this diverse patient population. In this manuscript we present this standardized method of evaluation and classification of histological features and demonstrate the most frequent associations among histological findings, laboratory data, clinical phenotype and injury severity at presentation.
Methods
Patients with suspected DILI were enrolled in the DILIN Prospective Study and data were collected as previously described (5). Patients or their next of kin provided written informed consent which included pathology review. If available, up to 10 unstained re-cuts of liver tissue (needle or wedge biopsies, explanted native livers and autopsies) obtained at investigator discretion were sent to the central pathology core laboratory (NCI) for repeat staining and storage. Slides were stained with hematoxylin and eosin, Masson trichrome, reticulin, iron, copper and periodic acid-Schiff (PAS) with diastase. Biopsies were reviewed by the central hepatic pathologist (DEK) who was blinded to all clinical information including the name(s) of the implicated drugs. All liver tissues received the same predefined structured histological evaluation. This systematic evaluation of 48 separate histologic features was divided into seven broad categories: inflammation, necrosis/cell injury, fibrosis, steatosis, cholestasis, vascular injury, and other findings including evaluation of special stains (Supplementary Table 1)(10). The number of portal areas (complete and partial) was recorded as a measure of biopsy adequacy. The diagnostic classification used (Supplementary Table 2) was based on published descriptions of pathologic changes in DILI (11, 12). Standard hepatopathological diagnostic criteria (13) were used to define patterns of injury. The overall injury pattern was classified into one of 18 patterns: acute hepatitis, chronic hepatitis, acute cholestasis, chronic cholestasis, cholestatic hepatitis (mixed hepatocellular and cholestatic injury), granulomatous changes, steatosis (macrovesicular or microvesicular), steatohepatitis, coagulative/confluent necrosis (zonal or non-zonal), massive/sub-massive necrosis, vascular injury, hepatocellular alteration, nodular regenerative hyperplasia, mixed or otherwise unclassifiable injury, minimal non-specific changes, and absolutely normal.
For the purposes of the current analysis, a biopsy was eligible for inclusion if it was obtained within six months of the protocol-defined DILI onset date and was adequate in the pathologist’s opinion to assign a pattern of injury. Tissues from explants or autopsies were excluded. If two biopsies qualified from the same patient, the larger biopsy was used. Once the biopsy data from blinded review was recorded, additional information was abstracted from the DILIN prospective database including the patient age, sex and laboratory data (alanine aminotransferase (ALT), alkaline phosphatase (Alk P) and total bilirubin) at the time of DILI onset and at or around the time of liver biopsy (within 7 days). The biochemical injury pattern (hepatocellular, mixed or cholestatic) was calculated as the ratio (R) of ALT to Alk P normalized by their respective upper limits of normal from laboratory data at the time of onset. If a suspected case had undergone causality determination (9) then the causality score, severity score and implicated medications were also obtained from the database.
Statistical Methods
Chi-square and Fisher’s Exact tests were used to compare nominal variables. The Mann-Whitney U test was used to evaluate continuous variables stratified by a nominal variable.
Results
Description of Population
From September 2004 through October 2010, 249 patients with suspected DILI underwent a liver biopsy that was made available, reviewed centrally, and entered into the DILIN Prospective Study database (Table 1). The mean age of patients in this cohort was 48 years (range 7 to 87) and 144 (58%) were female. The biopsies contained a mean of 16.6 portal areas (median 13) and generally were adequate to perform the histological evaluations. The mean time from DILI onset to liver biopsy was 25 days (median 14 days, IQR 29 days). Causality evaluation was completed on 212 (84%) cases, with a final assessment of definite, highly likely or probable in 174 (70%) (9). Of these cases, 117 (67%) had a single agent implicated, while the rest had multiple implicated drugs or HDS products. Comparison of histological findings between cases adjudicated as probable to definite and those adjudicated as unlikely or possible showed few differences. Biopsies from the probable to definite group were more likely to have increased eosinophils (45% vs 26%, p=0.04), less likely to show ductular reaction (33% vs 53%, p=0.04) and had less hepatocellular iron accumulation (p=0.0008).
Table 1.
N (%) | ||
---|---|---|
Female | 144 (57.8) | |
Age (mean, range) | 48 (7 – 87) | |
Agents Implicated | ||
Single Agent | 172 (69.1) | |
Two Agents | 56 (22.5) | |
≥ Three Agents | 21 (8.4) | |
Most Common Agents Implicated | ||
Amoxicillin/Clavulanate | 19 (7.6) | |
Nitrofurantoin | 11 (4.4) | |
Sulfamethoxazole/Trimethoprim | 9 (3.6) | |
Minocycline | 8 (3.2) | |
Ciprofloxacin | 7 (2.8) | |
Anabolic Agents | 6 (2.4) | |
Azithromycin | 5 (2) | |
Levofloxacin | 5 (2) | |
Causality Process Completed | 208 (83.5) | |
Definite | 53 (21.3) | |
Very Likely | 84 (33.7) | |
Probable | 33 (13.3) | |
Possible | 24 (9.6) | |
Unlikely | 14 (5.6) | |
DILIN Severity Score | ||
Mild | 40 (16.1) | |
Moderate | 39 (15.7) | |
Moderate-Hospitalized | 83 (33.3) | |
Severe | 31 (12.5) | |
Fatal/Transplanted | 15 (6.0) |
The frequency of individual histological findings is shown in Table 2 and Supplemental Table 3. Inflammation and cholestasis were common. Interface hepatitis was seen in 91%, spotty lobular inflammation was seen in 99% and some degree of cholestasis in 50%. Apoptosis and confluent necrosis were also frequently seen, with apoptotic bodies in 77% and areas of confluent necrosis in 25% of cases. Although almost all of the predefined characteristics were used, no case showed ductal cholestasis or peliosis. No cases were classified as having macrovesicular steatosis or non-zonal necrosis as the dominant pathology pattern of injury, although both were seen as components of other patterns of injury.
Table 2.
Biochemical Presentation | ||||||
---|---|---|---|---|---|---|
Feature | All Cases | Hepatocellular | Mixed | Cholestatic | p Value | |
N | 249 | 128 | 48 | 73 | ||
Interface Hepatitis (mean) | 2.21 | 2.63 | 2.17 | 1.5 | <0.0001 | |
Lobular Inflammation (mean) | 3.00 | 3.29 | 2.81 | 2.62 | <0.0001 | |
Portal Inflammation (mean) | 1.66 | 1.87 | 1.58 | 1.36 | 0.008 | |
Confluent Necrosis (mean) | 1.11 | 1.71 | 0.67 | 0.36 | 0.0003 | |
Plasma Cells | 56 (23) | 40 (32) | 7 (15) | 9 (12) | 0.002 | |
Eosinophils | 94 (38) | 60 (48) | 17 (35) | 17 (23) | 0.003 | |
Lipogranulomas | 47 (19) | 16 (13) | 16 (33) | 15 (21) | 0.008 | |
Apoptosis | ||||||
None | 56 (23) | 15 (12) | 15 (31) | 26 (36) | <0.0001 | |
<1 per 40× hpf | 121 (49) | 52 (41) | 26 (54) | 43 (59) | ||
1–3 per 40× hpf | 57 (23) | 47 (37) | 6 (13) | 4 (5) | ||
>3 per 40× hpf | 13 (5) | 12 (10) | 1 (2) | 0 (0) | ||
Degree of Necrosis | ||||||
None | 186 (75) | 83 (65) | 41 (87) | 62 (85) | 0.007 | |
<5% | 23 (9) | 14 (11) | 1 (2) | 8 (11) | ||
5–33% | 20 (8) | 16 (13) | 1 (2) | 3 (4) | ||
33–67% | 13 (5) | 10 (8) | 3 (6) | 0 (0) | ||
>67% | 5 (2) | 4 (3) | 1 (2) | 0 (0) | ||
Hepatocyte Rosettes | 76 (31) | 57 (45) | 8 (17) | 11 (15) | <0.0001 | |
Lobular Disarray | 46 (19) | 42 (33) | 2 (4) | 2 (3) | <0.0001 | |
Fibrosis Stage (mean) | 1.31 | 1.38 | 1.40 | 1.24 | 0.35 | |
Cholestasis Grade (mean) | 1.71 | 0.68 | 1.08 | 1.53 | <0.0001 | |
Hepatocellular Cholestasis | 112 (45) | 41 (32) | 23 (48) | 48 (66) | <0.0001 | |
Canalicular Cholestasis | 120 (48) | 50 (39) | 23 (48) | 47 (64) | 0.003 | |
Ductal Paucity | ||||||
None | 231 (95) | 123 (98) | 45 (96) | 63 (89) | 0.02 | |
Mild | 7 (3) | 0 (0) | 1 (2) | 6 (8) | ||
Moderate to Marked | 6 (2) | 3 (2) | 1 (2) | 2 (3) | ||
Portal Venopathy | 10 (4) | 1 (1) | 2 (5) | 7 (10) | 0.008 | |
Hemorrhage | 25 (10) | 21 (17) | 2 (4) | 2 (3) | 0.003 | |
Sinusoidal Dilation (moderate to marked) | 12 (5) | 5 (4) | 0 (0) | 7 (10) | 0.04 | |
Nodular transformation | 10 (4) | 2 (2) | 0 (0) | 8 (11.6) | 0.001 |
Data is shown as N(%) or as mean values. Means of scores are shown only for simplicity. Chi square analysis was used to determine significance of variation across the three biochemical presentations.
The most common patterns of injury were those defined by primary features of either inflammation or cholestasis or both—the first five diagnostic patterns of injury, acute and chronic hepatitis, acute and chronic cholestasis and cholestatic hepatitis were used to classify 83% of cases (Figure 1A and 2). The variation in common histological features among the different general patterns of injury is shown in Table 3. Cases that were characterized as acute hepatitis had the most severe inflammation and were more likely to have confluent necrosis and apoptosis. In contrast, acute cholestatic cases showed the mildest degree of these features. Among the three cholestatic patterns, cholestatic hepatitis cases had a similar degree of bile stasis as the acute cholestatic cases, but more inflammation and hepatocellular injury, representing an overlap between the two distinct histologic patterns. Chronic cholestatic cases were more likely to have duct injury, duct paucity, cholate stasis and copper accumulation. A mild degree of fibrosis was present in many cases, but most pronounced in those that were classified as chronic hepatitis. Table 3 also shows patterns of injury observed for selected agents where only a single agent was identified as the cause of the injury.
Table 3.
Acute Hepatitic |
Chronic Hepatitic |
Acute Cholestatic |
Chronic Cholestatic |
Cholestatic Hepatitic |
|
---|---|---|---|---|---|
N | 51 | 35 | 23 | 25 | 74 |
Feature | |||||
Interface Hepatitis (mean) | 3.14 | 2.69 | 0.61 | 1.88 | 2.22 |
Lobular Inflammation (mean) | 3.73 | 3.00 | 1.65 | 2.48 | 3.38 |
Portal Inflammation (mean) | 2.14 | 2.14 | 0.74 | 1.52 | 1.60 |
Confluent Necrosis (mean) | 2.08 | 1.17 | 0.09 | 0.36 | 1.00 |
Plasma Cells | 18 (35) | 13 (37) | 0 (0) | 3 (12) | 18 (25) |
Neutrophils | 16 (31) | 2 (6) | 3 (13) | 6 (24) | 31 (43) |
Lymphoid Aggregates or Germinal Centers | 7 (14) | 11 (31) | 0 (0) | 2 (8) | 5 (7) |
Apoptosis | 1.78 | 1.0 | 0.61 | 0.80 | 1.07 |
Degree of Necrosis (mean) | 0.84 | 0.37 | 0.05 | 0.12 | 0.38 |
Hepatocyte Rosettes | 27 (54) | 12 (34) | 0 (0) | 5 (20) | 23 (32) |
Lobular Disarray | 29 (58) | 1 (3) | 0 (0) | 0 (0) | 16 (22) |
Fibrosis Stage (mean) | 0.94 | 2.31 | 0.59 | 1.52 | 1.11 |
Grade of Cholestasis (mean) | 0.04 | 0 | 2.09 | 0.84 | 2.07 |
Hepatocellular Cholestasis | 0 (0) | 0 (0) | 22 (96) | 8 (32) | 68 (92) |
Canalicular Cholestasis | 3 (6) | 0 (0) | 21 (91) | 8 (32) | 74 (100) |
Cholate-stasis | 4 (8) | 2 (6) | 4 (17) | 23 (92) | 22 (30) |
Duct Injury, Multiple Ducts | 20 (40) | 8 (24) | 6 (27) | 18 (78) | 38 (52) |
Ductal Paucity, Mild or worse | 0 (0) | 0 (0) | 3 (14) | 8 (32) | 2 (3) |
Portal Venopathy | 1 (2) | 0 (0) | 0 (0) | 4 (17) | 0 (0) |
Copper | 0.10 | 0.12 | 0.09 | 0.74 | 0.13 |
Patterns of DILI with Particular Agents (only 1 agent implicated) | |||||
Amoxicillin/Clavulanate | 1 | 0 | 3 | 3 | 9 |
Nitrofurantoin | 2 | 4 | 0 | 2 | 1 |
Minocycline | 3 | 2 | 0 | 0 | 2 |
Sulfamethoxazole/Trimethoprim | 1 | 0 | 1 | 0 | 4 |
Data is shown as N(%) or as mean values. Means of scores are shown only for simplicity.
Relationship of Findings to Biochemical Injury Classification
Suspected DILI was classified based upon the value of the ratio (R) of ALT to Alk P levels (expressed as multiples of the upper limit of normal) obtained at the onset of injury (14). Hepatocellular injury was defined as an R ratio > 5, cholestatic injury an R < 2 and “mixed” cholestatic-hepatocellular injury as an R ratio between 2 and 5. This terminology was used regardless of the presence of jaundice. The ability of the R ratio to predict histological findings and patterns of injury has not been rigorously analyzed. The distribution of histological findings stratified by R ratios calculated from initial laboratory results are shown in Figure 1 and Table 2. Many correlations were evident. Patients with hepatocellular injury tended to have more inflammation, more necrosis and more apoptosis. Inflammation was assessed using the Ishak scale(15), because of its familiarity, and all four subscales (interface hepatitis, lobular inflammation, portal inflammation and confluent necrosis) showed higher scores in hepatocellular injury cases. Plasma cells and eosinophils were usually located in portal areas and were more often increased in hepatocellular injury. When present, confluent necrosis usually involved zone 3, with more severe manifestations showing bridging or multiacinar necrosis. Other changes associated with hepatocellular injury included hepatocyte rosette formation, lobular disarray and hemorrhage, all features observed in cases of severe parenchymal injury. In contrast, patients with cholestatic biochemical injury tended to have canalicular and hepatocellular cholestasis in zone 3 and the degree of cholestasis was more severe. Ductal paucity, portal venopathy, sinusoidal dilation and nodular regenerative hyperplastic changes were also more common in cholestatic injury. The distribution of histological changes in mixed injury was more similar to that of cholestatic than hepatocellular injury. With respect to injury pattern, patients with hepatocellular injury were more likely to have acute or chronic hepatitic changes on biopsy and less likely to have acute or chronic cholestasis. Cases of cholestatic hepatitis were nearly evenly distributed between hepatocellular, mixed and cholestatic injury, reflecting the wide variation in the degree of hepatitis and cholestasis in this category.
The range of R ratios at the onset of injury for selected histologic patterns is displayed in Figure 1B. Although the range varied between these pathologic patterns of injury there was also significant overlap.
Relationship of histology to laboratory data at the time of biopsy
To better understand the relationship of histological findings to common serum biochemical markers, we compared the histological findings to laboratory data obtained at or close to the time of liver biopsy, limiting the comparison to biochemical data collected within 7 days of the biopsy. To simplify the analysis, laboratory data was dichotomized, using 5 times the ULN as the breakpoint for ALT, 3 times the ULN for Alk P and 3 mg/dL for total bilirubin. The significant associations are shown in Supplementary Table 4; associations with p>0.05 are not shown. The histological features associated with ALT levels >5 times ULN were similar to those associated with hepatocellular injury. Elevated Alk P was associated with some, but not all, of the cholestatic changes. Specifically, the degree of cholestasis was worse and there were more cases of cholate stasis, duct injury and duct paucity. Almost all (38/40) of the cases in which microvesicular steatosis was observed had low Alk P levels as did all of the cases with hepatocellular inclusions, which were mostly megamitochondria. Changes of inflammation and necrosis were not associated with Alk P levels.
In Table 4, these biochemical-histological associations were compared to the similar associations described by Hyman Zimmerman in his classic textbook on DILI (11), which were based upon his clinical experience reviewing large numbers of cases both clinically and histologically. There was good correspondence, although for acute hepatitis and zonal necrosis our range of ALT did not extend as high, probably due to DILIN’s exclusion of patients with acetaminophen injury and relatively few patients with acute liver failure.
Table 4.
Labs at biopsy | Zimmerman2 | |||
---|---|---|---|---|
Injury Pattern | ALT/ULN1 | AlkP/ULN1 | ALT/ULN | AlkP/ULN |
Acute Hepatitic | 12.8–27.4x | 1.0–2.9x | 10–100x | 1–3x |
Chronic Hepatitic | 3.4–9.5x | 0.9–2.3x | 3–50x | 1–3x |
Acute Cholestatic | 2.1–10.0x | 1.3–3.8x | 1–5x | 1–3x |
Chronic Cholestatic | 2.5–11.5x | 2.2–8.4x | 1–5x | 3–20x |
Cholestatic Hepatitic | 1.7–13.1x | 1.2–3.2x | 1–10x | >3x |
Necrosis (Zonal) | 6.4–46.7x | 0.9–1.7x | 10–1000x | 1–3x |
Ranges represent 25th to the 75th percentile of the laboratory data obtained at the time of liver biopsy, with ALT and AlkP normalized to the local laboratory upper limit of normal.
Ranges adapted from Tables 4.25 and 4.26 on p. 103 of reference (9).
Relationship of histological findings to clinical severity
Each case in the DILIN prospective study was assigned a score ranging from 1 to 5 for clinical severity level based on clinical and laboratory findings (1). Mild cases (1+) were defined as serum enzyme elevations without jaundice (total bilirubin ≥ 2.5 mg/dL); moderate cases (2+) cases had jaundice (total bilirubin > 2.5 mg/dL), and were not hospitalized for the liver injury; moderately-severe (3+) cases had jaundice and were hospitalized; severe cases (4+) had jaundice and evidence of hepatic failure (any combination of prolongation of INR, ascites or encephalopathy) or other organ failure (renal, bone marrow, lung); fatal cases (5+) were those who died as a result of hepatic failure or underwent liver transplantation within 6 months of onset. Associations between severity scores and histological features are shown in Table 5. The degree of necrosis, fibrosis stage, microvesicular steatosis, pan-acinar steatosis, cholangiolar cholestasis, ductular reaction, neutrophils and portal venopathy were all associated with higher scores of severity (Figure 3A–C). Granulomas and eosinophils were more likely to be seen in milder cases (Figure 3D). Fatal outcome was more likely in patients with an injury pattern of zonal necrosis (13% vs 3%) or with mixed injury (27% vs 3%), p = 0.019.
Table 5.
Severe or Fatal | Fatal Outcome | ||||||
---|---|---|---|---|---|---|---|
Feature | No | Yes | p value1 | No | Yes | p value1 | |
Total N | 162 | 46 | 193 | 15 | |||
Granulomas | |||||||
None | 57 (35) | 28 (62) | 0.001 | 74 (39) | 11 (73) | 0.03 | |
Microgranulomas | 97 (60) | 13 (29) | 106 (55) | 4 (27) | |||
Epith Granulomas | 8 (5) | 4 (9) | 12 (6) | 0 (0) | |||
Eosinophils | 76 (47) | 10 (22) | 0.003 | 84 (44) | 2 (13) | 0.03 | |
Neutrophils | 43 (27) | 22 (49) | 0.006 | ||||
Degree of Necrosis (mean) | 0.36 | 0.89 | 0.01 | 0.43 | 1.13 | 0.02 | |
Fibrosis Stage (mean) | 1.15 | 1.73 | 0.003 | 1.18 | 2.53 | <0.0001 | |
Type of Steatosis | |||||||
Macrovesicular | 84 (82) | 12 (39) | <0.0001 | 95 (77) | 1 (9) | <0.0001 | |
Mixed | 9 (9) | 10 (32) | 14 (11) | 5 (46) | |||
Microvesicular | 10 (10) | 9 (29) | 14 (11) | 5 (46) | |||
Cholangiolar Cholestasis | 2 (1) | 6 (13) | 0.002 | 5 (3) | 3 (20) | 0.01 | |
Ductular Reaction | 52 (32) | 24 (53) | 0.01 | 65 (34) | 15 (73) | 0.004 | |
Portal Venopathy | 4 (2) | 2 (17) | 0.04 |
Statistical significance of differences was evaluated using Chi-square test or Fisher’s Exact test for 2×2 comparisons.
Data shown as either mean score or N (%). Means of scores are shown only for simplicity.
Discussion
We and others(6, 7) have argued that when pathologists review and report on DILI, they should classify the changes as a particular pattern of pathological injury. Pattern classification is critical to define the pathological differential diagnosis, which can be used in conjunction with the clinical evaluation to establish the etiology of the injury. For the purposes of DILIN, we pre-defined 18 histological patterns that were likely to be encountered given the kinds of patients and drug etiologies that we expected to accrue. We did not include tumors in the classification, despite well described associations between drugs and tumors. Although the clinical cases of DILI in this cohort had a great diversity of findings, nearly 83% of our 249 cases could be classified into one of five patterns: acute hepatitis, chronic hepatitis, acute cholestasis, chronic cholestasis and cholestatic hepatitis. This distribution reflects both the character of our patient population and the injury patterns associated with the most commonly implicated drugs, particularly antibiotics, psychoactive agents and drugs used to treat musculoskeletal disorders(5). Other populations with different types of drug injury may display different frequencies of the various injury patterns and so we would recommend that pathologists use the full spectrum of possible patterns when reporting DILI. Despite the variety of injury patterns observed, there was good correlation between biochemical tests at the time of biopsy and individual histological findings. These associations serve to validate the use of systematic histological scoring methods across the range of pathology that is observed in suspected DILI.
One of the standard definitions used in the study of DILI is the division of cases cholestatic, mixed and hepatocellular injury using results of commonly used biochemical tests, based upon the normalized ratio of ALT to Alk P, sometimes referred to as the ‘R’ value. These definitions are used based upon the R ratio determined at or near the time of presentation, although the ratio may change markedly over time as enzyme levels rise and fall. The current analysis showed that there was a limited correlation between the biochemical categorization and the pathological pattern of injury. For example, a patient with hepatocellular injury might show any of a number of histological patterns on biopsy, including acute cholestasis. Likewise, an injury that would be classified as cholestatic on biochemical grounds could show acute or chronic hepatitis without any evidence of bile accumulation. It is possible that other methods of classifying biochemical injury, such as examining the profile over time or including changes in bilirubin levels would provide clearer correlation with histological findings, but for now it is clear that it is inappropriate to draw conclusions about the precise nature of histological findings based solely on the biochemical classification determined at or near the time of onset of injury.
Another area of interest is the potential relationship between specific histological features and clinical severity of liver injury. Studies of acute liver failure have demonstrated that both the degree of necrosis and the presence of ductular reaction on liver biopsy correlate with eventual liver transplantation and death (16). Although our patient population included many patients who did not have liver failure, extensive necrosis and ductular reaction were found more frequently in those with severe or fatal injury, consistent with the previous study. Similarly, a large meta-analysis of case reports of DILI demonstrated that necrosis was associated with poor outcome while eosinophils were associated with a good outcome (17). Both observations were confirmed in our prospective, blinded study. In addition to these findings, we observed that fibrosis, microvesicular steatosis, cholangiolar cholestasis, neutrophils and portal venopathy were associated with either severe or fatal injury, while granulomas were associated with mild or moderate injury. There may be multiple explanations for these findings, some of which may be related to true drug injury, while others may be related to underlying liver disease or other comorbidities. Advanced fibrosis can be caused by drugs such as amiodarone (18) and nitrofurantoin (19, 20) or may be the result of an underlying chronic liver disease. In either case, advanced fibrosis may limit the ability of the liver to respond to acute injury. Only one case was diagnosed with the overall pattern of microvesicular steatosis, while 27% showed either microvesicular steatosis alone or in combination with macrovesicular steatosis as part of another histological injury pattern. Microvesicular steatosis has often been related to mitochondrial injury and it is possible that this mechanism may be occurring alongside other mechanisms of liver injury in DILI (21). Cholangiolar cholestasis is a characteristic finding in sepsis and may be acting as a marker of this comorbidity. Neutrophils are commonly seen associated with ductular reaction and cholangiolar cholestasis and therefore may not be an independent marker of poor outcome. Granulomas, both large epithelioid granulomas and microgranulomas, were a common finding, seen in 62% of cases. Eosinophils and granulomas were the only findings that were inversely associated with severe injury. Both are thought be histological evidence of immuno-allergic reactions that generally carry a better prognosis than other kinds of DILI (17). The diversity of findings associated with clinical severity suggests that multiple mechanisms may be responsible for the severity of injury in any particular case.
There were a number of strengths and limitations to this study. This systematic histological assessment of a large number of liver biopsies in patients with detailed clinical and laboratory data represented a unique opportunity to combine these facets in well-characterized DILIN study patients. Despite the diverse nature of the patient population and the large number of agents implicated, a number of common observations could be made based on these data: liver histology can be categorized according to stereotypical patterns of injury and these patterns of injury, while generally correlated with biochemical patterns, do not match perfectly. Histological evaluation allows the distinction of different tissue injury patterns that may all present with similar biochemical patterns. Finally, there are a variety of histological changes and patterns of injury that are associated with clinical severity and, indirectly, with outcome. The histological review for DILIN was done by a single pathologist, which represents both a strength and a limitation. For DILIN, it permitted a fresh and internally consistent re-examination of the histological findings. However, it precluded a consensus approach to biopsy evaluation or an inter-observer validation study. Nevertheless our standardized approach used patterns and individual histological features that are well described in textbooks of hepatic pathology, so these methods should be readily accessible to experienced hepatic pathologists. In addition, the study was limited in that biopsies were done only when considered clinically indicated and were not performed in all patients enrolled in DILIN. The liver biopsy is one of several diagnostic tools available and was not considered clinically necessary for all cases and the criteria used to perform a biopsy may have varied among the eight enrolling centers. It is not possible to know how biases in biopsy collection might have affected the data, but it is likely that the incidence of certain histological patterns of injury might be different if every patient had undergone liver biopsy. However, it is unlikely that these biases would affect the correlations observed between the biopsies and the corresponding clinical data.
This study was not designed to address the diagnostic utility of liver biopsy in DILI. Although biopsy may be a useful diagnostic and management tool in DILI, we are unable to delineate specific advantages in the context of the current DILIN study. This study was also not designed to address whether there are particular biopsy features that should suggest DILI as opposed to other diagnoses although we did observe a few differences in biopsies later confirmed to be DILI. However, in order to demonstrate differences in DILI cases, additional control cases with similar clinical presentations and/or patterns of injury would need to be matched to authentic cases of DILI, as was done in the recent comparison of autoimmune hepatitis cases to DILI (22).
The liver biopsy remains a valuable tool in the evaluation of patients suspected to have DILI. As a clinical test it provides more information about the state of the liver than any other single assay. Pathologists should make use of the full spectrum of hepatic injury patterns when assessing and reporting DILI(6), either in practice or in publications. Analysis of the pattern of injury provides a pathological differential diagnosis that can be evaluated against the clinical differential diagnosis and matched to published patterns of injury caused by suspect agents. The pattern classification should be accompanied by a detailed description of the severity and distribution of individual pathological findings. Histological observations can provide a direct and unambiguous assessment of the severity of liver injury that can help guide clinical management. Our study provides extensive data on the relationship between histological and clinical observations and provides a standardized framework for systematic review and classification of pathological changes in liver biopsies. Adoption of a standardized and systematic approach to describe the histology of DILI will allow for comparison of findings across studies and will help in standardizing management and providing insights into pathogenesis as well as approaches to therapy.
Supplementary Material
Acknowledgments
Funding: The DILIN network is structured as an U01 cooperative agreement supported by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) and the National Institutes of Health (NIH) with funds provided by the following grants: U01DK065193 (University of Connecticut), U01DK065211 (University of Indiana [Purdue]), U01DK065238 (University of California-San Francisco / CPMC), U01DK065184 (University of Michigan [Ann Arbor]), U01DK065201 (University of North Carolina-Chapel Hill, Asheville, Carolinas Medical Center, Duke), U01DK83023 (University of Texas-Southwestern), U01DK083020 (University of Southern California, UCLA Pfleger Liver Institute), U01DK08992 (Mayo Clinic), U01DK083027 (Thomas Jefferson and University of Pennsylvania), U01DK065176 (Duke Clinical Research Institute as Data Coordinating Center). This work was supported in part by the Intramural Program of the National Cancer Institute, National Institutes of Health. This study is DILIN publication #23.
Abbreviations
- ALT
alanine aminotransferase
- AST
aspartate aminotransferase
- Alk P
alkaline phosphatase
- DILI
drug-induced liver injury
- DILIN
Drug-Induced Liver Injury Network
- HDS
herbals and dietary supplements
- ULN
upper limit of the normal range
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