Clinical Pattern of Tolvaptan-Associated Liver Injury in Trial Participants With Autosomal Dominant Polycystic Kidney Disease (ADPKD): An Analysis of Pivotal Clinical Trials.

RATIONALE & OBJECTIVE: Tolvaptan is associated with risk of drug-induced liver injury when used to treat autosomal dominant polycystic kidney disease (ADPKD). After this risk was described based on the clinical trials TEMPO 3:4 and TEMPO 4:4, additional data from the REPRISE trial and a long-term extension of TEMPO 4:4, REPRISE, and other tolvaptan trials in ADPKD have become available. To further characterize the hepatic safety profile of tolvaptan, an analysis of the expanded dataset was conducted. STUDY DESIGN: Analysis of safety data from prospective clinical trials of tolvaptan. SETTING & PARTICIPANTS: Multicenter clinical trials including more than 2,900 tolvaptan-treated participants, more than 2,300 with at least 18 months of drug exposure. INTERVENTION: Tolvaptan administered twice daily in split-dose regimens. OUTCOMES: Frequency of liver enzyme level increases detected by regular laboratory monitoring. RESULTS: In the placebo-controlled REPRISE trial, more tolvaptan- than placebo-treated participants (38 of 681 [5.6%] vs 8 of 685 [1.2%]) experienced alanine aminotransferase level increases to >3× the upper limit of normal (ULN), similar to TEMPO 3:4 (40 of 957 [4.4%] vs 5 of 484 [1.0%]). No participant in REPRISE or the long-term extension experienced concurrent alanine aminotransferase level increases to >3× ULN and total bilirubin increases to >2× ULN ("Hy's Law" laboratory criteria). Based on the expanded dataset, liver enzyme increases most often occurred within 18 months after tolvaptan initiation and were less frequent thereafter. Increased levels returned to normal or near normal after treatment interruption or discontinuation. Thirty-eight patients were rechallenged with tolvaptan after the initial drug-induced liver injury episode, with return of liver enzyme level increases in 30; 1 additional participant showed a clinical "adaptation" after the initial episode, with resolution of the enzyme level increases despite continuation of tolvaptan. LIMITATIONS: Retrospective analysis. CONCLUSIONS: The absence of Hy's Law cases in REPRISE and the long-term extension trial support monthly liver enzyme monitoring during the first 18 months of tolvaptan exposure and every 3 months thereafter to detect and manage enzyme level increases, as is recommended on the drug label. FUNDING: Otsuka Pharmaceutical Development & Commercialization, Inc. TRIAL REGISTRATION: Trials included in the dataset were registered at ClinicalTrials.gov with study numbers NCT00428948 (TEMPO 3:4), NCT01214421 (TEMPO 4:4), NCT02160145 (REPRISE), and NCT02251275 (long-term extension).

Hepatitis B Virus-related Care Quality in Patients With Hepatitis B/Human Immunodeficiency Virus Coinfection Versus Hepatitis B Monoinfection: A National Cohort Study.

BACKGROUND: Guideline-adherent hepatitis B virus (HBV) care is critical for patients with HBV, particularly patients with HBV-human immunodeficiency virus (HIV) given increased risks of liver-related complications. However, a comprehensive assessment of HBV-related care in patients with HBV-HIV is lacking. METHODS: We retrospectively assessed adherence to HBV-related care guidelines in all patients with HBV-HIV and HBV monoinfection (HBV-M) in the national Veterans Health Administration healthcare system in 2019. RESULTS: We identified 1021 patients with HBV-HIV among 8323 veterans with chronic HBV. Adherence to HBV guidelines was similar or better in HBV-HIV versus HBV-M, including HBV treatment (97% vs 71%), biannual hepatocellular carcinoma (HCC) surveillance (55% vs 55%) for patients with cirrhosis, hepatitis A virus screening (69% vs 56%), hepatitis C virus screening (100% vs 99%), and on-therapy alanine aminotransferase monitoring (95% vs 96%). Compared with those seeing gastroenterology (GI) or infectious diseases (ID) providers, patients without specialty care were less likely to receive antiviral treatment (none, 39%; GI, 80%; ID, 84%) or HCC surveillance (none, 16%; GI, 66%; ID, 47%). These findings persisted in multivariable analysis. Compared with ID care alone, a higher proportion of patients with HBV-HIV seen dually by GI and ID received HCC surveillance (GI + ID 73% vs ID 31%) and on-therapy HBV-DNA monitoring (GI + ID, 82%; ID, 68%). CONCLUSIONS: Patients with HBV-HIV received similar or higher rates of guideline-adherent HBV-related care than patients with HBV-M. Patients with HBV-HIV under dual GI and ID care achieved higher quality care compared with ID care alone. Specialty care was independently associated with higher quality HBV care in patients with HBV-HIV and HBV-M.

Medications Associated with Lower Mortality in a SARS-CoV-2 Positive Cohort of 26,508 Veterans.

BACKGROUND: Many severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) positive patients take commonly prescribed medications with properties which may affect mortality. OBJECTIVE: Assess if common medications postulated to affect clinical outcomes are associated with mortality in SARS-CoV-2 positive patients in the Veterans Health Administration (VHA). DESIGN: Observational national cohort analysis. PARTICIPANTS: Consecutive 26,508 SARS-CoV-2 positive Veterans (7% of 399,290 tested from March 1 to September 10, 2020) constitute the study cohort. MAIN MEASURES: The primary outcome was 30-day mortality from the first positive SARS-CoV-2 test date. In patients receiving medications or drug pairs within 2 weeks post-SARS-CoV-2 positive test, 30-day mortality was estimated as relative risk (RR) on the log-binomial scale or using multinomial models with and without adjusting for covariates. KEY RESULTS: The 26,508 SARS-CoV-2 positive patients were predominantly male (89%) and White (59%), and 82% were overweight/obese. Medications associated with decreased 30-day mortality risk included the following: metformin (aRR, 0.33; 95% CI, 0.25-0.43), colchicine, angiotensin-converting-enzyme inhibitors (ACEi), angiotensin II receptor blockers, statins, vitamin D, antihistamines, alpha-blockers, anti-androgens, and nonsteroidal anti-inflammatory drugs (aRR, 0.69; 95% CI, 0.61-0.78). The effect of co-prescribed medications on 30-day mortality risk revealed the lowest risk for combined statins and metformin (aRR, 0.21; 95% CI, 0.15-0.31), followed by ACEi and statins (aRR, 0.25; 95% CI, 0.18-0.35), ACEi and metformin (aRR, 0.26; 95% CI, 0.17-0.40), antihistamines and NSAIDs (aRR, 0.41; 95% CI, 0.32-0.52), and in men, combined alpha-blockers and anti-androgens (aRR, 0.51; 95% CI, 0.42-0.64). CONCLUSIONS: In this large national cohort, treatment of SARS-CoV-2 positive patients with individual or co-prescribed metformin and statins, ACEi and statins (or metformin) and other medications was associated with a markedly decreased 30-day mortality and can likely be continued safely. Clinical trials may assess their therapeutic benefit.

Drug rechallenge following drug-induced liver injury.

Drug-induced hepatocellular injury is identified internationally by alanine aminotransferase (ALT) levels equal to or exceeding 5× the upper limit of normal (ULN) appearing within 3 months of drug initiation, after alternative causes are excluded. Upon withdrawing the suspect drug, ALT generally decrease by 50% or more. With drug readministration, a positive rechallenge has recently been defined by an ALT level of 3-5× ULN or greater. Nearly 50 drugs are associated with positive rechallenge after drug-induced liver injury (DILI): antimicrobials; and central nervous system, cardiovascular and oncology therapeutics. Drugs associated with high rates of positive rechallenge exhibit multiple risk factors: daily dose >50 mg, an increased incidence of ALT elevations in clinical trials, immunoallergic clinical injury, and mitochondrial impairment in vitro. These drug factors interact with personal genetic, immune, and metabolic factors to influence positive rechallenge rates and outcomes. Drug rechallenge following drug-induced liver injury is associated with up to 13% mortality in prospective series of all prescribed drugs. In recent oncology trials, standardized systems have enabled safer drug rechallenge with weekly liver chemistry monitoring during the high-risk period and exclusion of patients with hypersensitivity. However, high positive rechallenge rates with other innovative therapeutics suggest that caution should be taken with rechallenge of high-risk drugs. CONCLUSION: For critical medicines, drug rechallenge may be appropriate when 1) no safer alternatives are available, 2) the objective benefit exceeds the risk, and 3) patients are fully informed and consent, can adhere to follow-up, and alert providers to hepatitis symptoms. To better understand rechallenge outcomes and identify key risk factors for positive rechallenge, additional data are needed from controlled clinical trials, prospective registries, and large health care databases. (Hepatology 2017;66:646-654).

Correction to: Identifying Nonalcoholic Fatty Liver Disease Advanced Fibrosis in the Veterans Health Administration.

The original version of the article unfortunately contained errors in Table 3, Risk Factor column headings "Age > 50 (n = 115)," "Age > 50-64 (n = 154)," and "Age > 65 + (n = 60)."

Identifying Nonalcoholic Fatty Liver Disease Advanced Fibrosis in the Veterans Health Administration.

BACKGROUND: Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease. Severe NAFLD with advanced fibrosis results in substantial morbidity and mortality. Associated with metabolic syndrome, NAFLD is often initially clinically silent, yet intensive lifestyle intervention with 7% or greater weight loss can improve or resolve NAFLD. Using a Veterans Health Administration (VHA) liver biopsy cohort, we evaluated simple noninvasive fibrosis scoring systems to identify NAFLD with advanced fibrosis (or severe disease) to assist providers. METHODS: In our retrospective study of a national VHA sample of patients with biopsy-proven NAFLD or normal liver (2005-2015), we segregated patients by fibrosis stage (0-4). Non-NAFLD liver disease was excluded. We evaluated the diagnostic accuracy of the NAFLD fibrosis score (NFS), fibrosis-4 calculator (FIB-4), aspartate aminotransferase-to-alanine aminotransferase ratio (AST/ALT ratio), AST-to-platelet ratio index (APRI), and body mass index, AST/ALT ratio, and diabetes (BARD) score by age groups. RESULTS: We included 329 patients with well-defined liver histology (296 NAFLD and 33 normal controls without fibrosis), in which 92 (28%) had advanced (stage 3-4) fibrosis. Across all age groups, NFS and FIB-4 best predicted advanced fibrosis (NFS with 0.676 threshold: AUROC 0.71-0.76, LR + 2.30-22.05, OR 6.00-39.58; FIB-4 with 2.67 threshold: AUROC of 0.62-0.80, LR + 4.70-27.45, OR 16.34-59.65). CONCLUSIONS: While NFS and FIB-4 scores exhibit good diagnostic accuracy, FIB-4 is optimal in identifying NAFLD advanced fibrosis in the VHA. Easily implemented as a point-of-care clinical test, FIB-4 can be useful in directing patients that are most likely to have advanced fibrosis to GI/hepatology consultation and follow-up.

Interplay of gender, age and drug properties on reporting frequency of drug-induced liver injury.

We examined the effect of gender, age, and drug properties on liver events reporting frequency (RF) to assess patient- and drug-related risks for drug-induced liver injury (DILI). We performed a data-mining analysis of the WHO VigiBase™ to 1) identify drugs with gender- and age-biased RF and 2) characterize drug properties using the Liver Toxicity Knowledge Base. Age-, gender-specific Empirical Bayes Geometric Mean of relative reporting ratio of liver events with 90% confidence interval (CI) was calculated for 375 drugs with DILI potential. Forty-one drugs showed an increased RF in women, which had a higher prevalence of reactive metabolite formation and mitochondrial dysfunction and transporter inhibition. Fifty-nine drugs showed an increased RF in younger women (<50 yrs), many of which had a signature pattern of hepatocellular injury. In contrast, half of 17 drugs that showed an increased RF in men had a cholestatic pattern. In the older group (≥50 yrs), 17 drugs showed an increased RF and had higher transporter inhibition, Cmax, and plasma protein binding, yet shorter plasma elimination. Specific drug properties were associated with gender- and age-biased liver events RF, suggesting possible interactions of drug properties, gender, and age in DILI development.

Prevalence and incidence of liver enzyme elevations in a pooled oncology clinical trial cohort.

Few epidemiologic studies describe longitudinal liver chemistry (LC) elevations in cancer patients. A population-based retrospective cohort was identified from 31 Phase 2-3 oncology trials (excluding targeted therapies) conducted from 1985 to 2005 to evaluate background rates of LC elevations in patients (n = 3998) with or without liver metastases. Patients with baseline liver metastases (29% of patients) presented with a 3% prevalence of alanine transaminase (ALT) ≥ 3x upper limits normal (ULN) and 0.2% prevalence of bilirubin ≥ 3xULN. During follow-up, the incidence (per 1000 person-months) of new onset ALT elevations ≥3xULN was 6.1 (95% CI: 4.5, 8.0) and 2.2 (95% CI: 0.9, 4.5) in patients without and with liver metastases, respectively. No new incident cases of ALT and bilirubin elevations suggestive of severe liver injury occurred among those with liver metastases; a single case occurred among those without metastasis. Regardless of the presence of liver metastases, LC elevations were rare in cancer patients during oncology trials, which may be due to enrollment criteria. Our study validates uniform thresholds for detection of LC elevations in oncology studies and serves as an empirical referent point for comparing liver enzyme abnormalities in oncology trials of novel targeted therapies. These data support uniform LC stopping criteria in oncology trials.

Children's liver chemistries vary with age and gender and require customized pediatric reference ranges.

Used to detect liver disease and injury, baseline liver chemistry distributions were evaluated by age and gender in children without known liver disease. Baseline liver chemistries [alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), and total bilirubin (TBIL)] were analyzed from 24 randomized controlled pediatric clinical trials. Using quantile regression, liver chemistry distributions were examined by age and gender; upper limit normal (ULN) ranges were compared to the 97.5th percentiles of the distributions for the specified ages and genders. 5410 subjects without known liver disease (0-18 years; 60% male) were studied. The median ALT varied little with age. In males age 5-18, the ALT 97.5th percentile increased from 34 to 63 IU/L. In both genders, the median and 97.5th percentile AST decreased with age. After age 9, ALP decreased. TBIL increased with age. Despite most liver chemistry 97.5th percentiles changing substantively with age and gender, the reference lab ULN generally changed minimally and did not correlate with the 97.5th percentile. Gender and age specific 97.5th percentile data should therefore be considered for the reference laboratory ULN in children to more accurately detect liver injury and disease.

Comedications alter drug-induced liver injury reporting frequency: Data mining in the WHO VigiBase™.

Polypharmacy is common, and may modify mechanisms of drug-induced liver injury. We examined the effect of these drug-drug interactions on liver safety reports of four drugs highly associated with hepatotoxicity. In the WHO VigiBase™, liver event reports were examined for acetaminophen, isoniazid, valproic acid, and amoxicillin/clavulanic acid. Then, we evaluated the liver event reporting frequency of these 4 drugs in the presence of co-reported medications. Each of the 4 primary drugs was reported as having more than 2000 liver events, and co-reported with more than 600 different medications. Overall, the effect of 2275 co-reported drugs (316 drug classes) on the reporting frequency was analyzed. Decreased liver event reporting frequency was associated with 245 drugs/122 drug classes, including anti-TNFα, opioids, and folic acid. Increased liver event reporting frequency was associated with 170 drugs/82 drug classes; in particular, halogenated hydrocarbons, carboxamides, and bile acid sequestrants. After adjusting for age, gender, and other co-reported drug classes, multiple co-reported drug classes were significantly associated with decreased/increased liver event reporting frequency in a drug-specific/unspecific manner. In conclusion, co-reported medications were associated with changes in the liver event reporting frequency of drugs commonly associated with hepatotoxicity, suggesting that comedications may modify drug hepatic safety.

An automated causality assessment algorithm to detect drug-induced liver injury in electronic medical record data.

PURPOSE: The aim of this study was to develop an automated causality assessment algorithm to identify drug-induced liver injury. METHODS: The Roussel Uclaf Causality Assessment Method (RUCAM) is an algorithm for determining the causal association between a drug and liver injury. In collaboration with hepatology experts, definitions were developed for the RUCAM criteria to operationalize an electronic RUCAM (eRUCAM). The eRUCAM was tested in a population of patients taking 14 drugs with a characteristic phenotype for liver injury. Quality assurance for programming specifications involved comparisons between scores generated by the eRUCAM, for probable and highly probable cases, and expert manual RUCAM (n = 20). Concordance between eRUCAM and manual RUCAM subscores and total score was tested using the Wilcoxon signed rank test. RESULTS: Causality scores were the same for 6 of 20 patients (30%) by manual and eRUCAM algorithms. Analysis of subscores revealed ≥80% concordance between manual and eRUCAM for five of the seven criteria. In general, the total scores tended to be higher for the eRUCAM compared with the manual RUCAM. Programming issues were identified for criterion 5 'non-drug causes of liver injury' where significant differences existed between manual and eRUCAM scoring (p = 0.001). For criterion 5, identical scores occurred in 9 of 20 patients (45%), and manual review identified additional codes, timing criteria, and laboratory results for improving subsequent eRUCAM revisions. CONCLUSION: The eRUCAM had generally good concordance with manual RUCAM scoring. These preliminary findings suggest that the eRUCAM algorithm is feasible and could have application in clinical practice and drug safety surveillance.

Age-related differences in reporting of drug-associated liver injury: data-mining of WHO Safety Report Database.

BACKGROUND/AIMS: Age-differences in the frequency and manifestations of drug-induced liver injury are not fully characterized. Data-mining analyses were performed to assess the impact of age on liver event reporting frequency with different phenotypes and agents. METHODS: 236 drugs associated with hepatotoxicity were evaluated using the Empirical Bayes Geometric Mean (EBGM) of the relative reporting ratio with 90% confidence interval (EB05 and EB95) calculated for the age groups: 0-17, 18-64, and⩾65years (or elderly), for overall, serious (acute liver failure), hepatocellular, and cholestatic liver injury, using the WHO Safety Report Database. RESULTS: Overall, cases of age 0-17, 18-64, and 65years or older comprised 6%, 62%, and 32% of liver event reports. Acute liver failure and hepatocellular injury were more frequently reported among children compared to adults and the elderly while reports with cholestatic injury were more frequent among the elderly (p<0.00001). A potential to cause mitochondrial dysfunction was more prevalent among the drugs with increased pediatric reporting frequency while high lipophilicity and biliary excretion were more common among the drugs associated with higher reporting frequency in the elderly. CONCLUSION: Age-specific phenotypes and potential drug properties associated with age-specific hepatotoxicity were identified in reported liver events; further analyses are warranted.

Characterizing phenotypes and outcomes of drug-associated liver injury using electronic medical record data.

PURPOSE: To evaluate the incidence, phenotypes, and outcomes of drug-associated liver injury identified in electronic medical record (EMR) data using standardized criteria for drug-induced liver injury (DILI). METHODS: This retrospective cohort study used EMR data from a large integrated healthcare system. Study inclusion required 18 years of age or older, ≥1 prescription fill for any of 14 medications associated with hepatotoxicity between 1 January 2003 and 30 June 2009, and ≥12 months of membership prior to the drug exposure. Patients with underlying non-drug causes of liver injury were excluded to minimize capture of liver injury events unrelated to drugs. Drug-associated liver injuries were identified by liver chemistry elevations temporally associated with drug use based on standardized criteria for DILI. Cases were classified by clinical pattern and severity. Outcomes of liver transplant and all-cause and liver-related death were examined. RESULTS: A total of 1 053 979 drug exposures were identified in 601 125 patients. We identified 265 drug-associated liver injuries (32.8 per 100 000 persons) occurring in 250 patients. Isoniazid exhibited the highest incidence rate of 606 per 100 000 persons. Of the 265 cases, 41% were mild; 12% exhibited moderate drug-associated liver injury (with concomitant ALT ≥ 5× ULN and bilirubin ≥2× ULN); and 17% exhibited coagulopathy, ascites, encephalopathy, or other organ failure. Last, seven cases (3%) were associated with death, and there were no liver transplants. CONCLUSIONS: Study results align with earlier prospective studies, supporting the value of standardized methodology to identify drug-associated liver injury in the EMR. These methods can potentially enhance safety and clinical outcomes.

A proposed modification to Hy's law and Edish criteria in oncology clinical trials using aggregated historical data.

PURPOSE: Identifying drug-induced liver injury is a critical task in drug development and postapproval real-world care. Severe liver injury is identified by the liver chemistry threshold of alanine aminotransferase (ALT) >3× upper limit of normal (ULN) and bilirubin >2× ULN, termed Hy's law by the Food and Drug Administration. These thresholds require discontinuation of the causative drug and are seldom exceeded in most patient populations. However, because maintenance of therapy is critical in the treatment of advanced cancer, customized thresholds may be useful in oncology patient populations, particularly for those with baseline liver chemistries elevations. METHODS: Liver chemistry data from 31 aggregated oncology clinical trials were modeled through a truncated robust multivariate outlier detection (TRMOD) method to develop the decision boundary or threshold for examining liver injury in oncology clinical trials. RESULTS: The boundary of TRMOD identified outliers with an ALT limit 5.0× ULN and total bilirubin limit 2.7× ULN. In addition, TRMOD was applied to the aggregated oncology data to examine fold-baseline ALT and total bilirubin, revealing limits of ALT 6.9× baseline and bilirubin 6.5× baseline. Similar ALT and bilirubin threshold limits were observed for oncology patients both with and without liver metastases. CONCLUSIONS: These higher liver chemistry thresholds examining fold-ULN and fold-baseline data may be valuable in identifying potential severe liver injury and detecting liver safety signals of clinical concern in oncology clinical trials and postapproval settings while helping to avoid premature discontinuation of curative therapy.

Assessment of the Frequency, Phenotypes, and Outcomes of Acute Liver Injury Associated with Amoxicillin/Clavulanate in 1.4 Million Patients in the Veterans Health Administration.

INTRODUCTION: Drug-induced liver injury is a significant health issue, yet the exposure-based incidence remains to be characterized. OBJECTIVE: We aimed to assess the frequency, phenotypes, and outcomes of acute liver injury associated with amoxicillin/clavulanate using a large electronic health record system. METHODS: Using the Veterans Health Administration electronic health record system, we developed the framework to identify unexplained acute liver injury, defined by alanine aminotransferase and/or alkaline phosphatase elevation temporally linked to prescription records of amoxicillin/clavulanate, a major culprit of clinically significant drug-induced liver injury, excluding other competing causes. The population was subcategorized by pre-existing liver conditions and inpatient status at the time of exposure for the analysis. RESULTS: Among 1,445,171 amoxicillin/clavulanate first exposures in unique individuals [92% men; mean age (standard deviation): 59 (15) years], 6476 (incidence: 0.448%) acute liver injuries were identified. Of these, 4427 (65%) had alternative causes, yielding 2249 (incidence: 0.156%) with unexplained acute liver injuries. The incidence of unexplained acute liver injury was lowest in outpatients without underlying liver disease (0.067%) and highest in inpatients with pre-existing liver conditions (0.719%). Older age, male sex, and American Indian or Alaska Native (vs White) were associated with a higher incidence of unexplained acute liver injury. Cholestatic injury affected 74%, exhibiting a higher frequency with advanced age, inpatient exposure, and pre-existing liver conditions. Hepatocellular injury with bilirubin elevation affected 0.003%, with a higher risk at age >45 years. During a 12-month follow-up, patients with unexplained acute liver injury had a higher adjusted overall mortality risk than those without evident acute liver injury. CONCLUSIONS: This framework identifies unexplained acute liver injury following drug exposure in large electronic health record datasets. After validating in other systems, this framework can aid in deducing drug-induced liver injury in the general patient population and regulatory decision making to promote drug safety and public health.

Early Outcomes of SARS-CoV-2 Infection in a Multisite Prospective Cohort of Inpatient Veterans.

Background: Over 870 000 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections have occurred among Veterans Health Administration users, and 24 000 have resulted in death. We examined early outcomes of SARS-CoV-2 infection in hospitalized veterans. Methods: In an ongoing, prospective cohort study, we enrolled veterans age ≥18 tested for SARS-CoV-2 and hospitalized at 15 Department of Veterans Affairs medical centers between February 2021 and June 2022. We estimated adjusted odds ratios (aORs), adjusted incidence rate ratios (aIRRs), and adjusted hazard ratios (aHRs) for maximum illness severity within 30 days of study entry (defined using the 4-category VA Severity Index for coronavirus disease 2019 [COVID-19]), as well as length of hospitalization and rehospitalization within 60 days, in relationship with demographic characteristics, Charlson comorbidity index (CCI), COVID-19 vaccination, and calendar period of enrollment. Results: The 542 participants included 329 (61%) who completed a primary vaccine series (with or without booster; "vaccinated"), 292 (54%) enrolled as SARS-CoV-2-positive, and 503 (93%) men, with a mean age of 64.4 years. High CCI scores (≥5) occurred in 61 (44%) vaccinated and 29 (19%) unvaccinated SARS-CoV-2-positive participants. Severe illness or death occurred in 29 (21%; 6% died) vaccinated and 31 (20%; 2% died) unvaccinated SARS-CoV-2-positive participants. SARS-CoV-2-positive inpatients per unit increase in CCI had greater multivariable-adjusted odds of severe illness (aOR, 1.21; 95% CI, 1.01-1.45), more hospitalization days (aIRR, 1.06; 95% CI, 1.03-1.10), and rehospitalization (aHR, 1.07; 95% CI, 1.01-1.12). Conclusions: In a cohort of hospitalized US veterans with SARS-CoV-2 infection, those with a higher CCI had more severe COVID-19 illness, more hospital days, and rehospitalization, after adjusting for vaccination status, age, sex, and calendar period.

A pre-marketing ALT signal predicts post-marketing liver safety.

Drug induced liver injury during drug development is evidenced by a higher incidence of serum alanine aminotransferase (ALT) elevations in treated versus placebo populations and termed an "ALT signal". We sought to quantify whether an ALT signal in pre-marketing clinical trials predicted post-marketing hepatotoxicity. Incidence of ALT elevations (ALT ≥ 3 times upper limits normal [× ULN]) for drug and placebo of new chemical entities and approved drugs associated with hepatotoxicity was calculated using the Food and Drug Administration (FDA) website. Post-marketing liver safety events were identified using the FDA Adverse Event Reporting System (AERS). The association of FDA AERS signal score (EB05 ≥ 2) and excess risk of pre-marketing ALT elevation (difference in incidence of ALT ≥ 3× ULN in treated versus placebo) was examined. An ALT signal of ≥ 1.2% was significantly associated with a post-marketing liver safety signal (p ≤ 0.013) and a 71.4% positive predictive value. An absent ALT signal was associated with a high likelihood of post-marketing liver safety; negative predictive value of 89.7%. Daily drug dose information improved the prediction of post-marketing liver safety. A cut-off of 1.2% increase in ALT ≥ 3× ULN in treated versus placebo groups provides an easily calculated method for predicting post-marketing liver safety.