Serum neuron-specific enolase: a new tool for seizure risk monitoring after status epilepticus.

BACKGROUND AND PURPOSE: There is a need for accurate biomarkers to monitor electroencephalography (EEG) activity and assess seizure risk in patients with acute brain injury. Seizure recurrence may lead to cellular alterations and subsequent neurological sequelae. Whether neuron-specific enolase (NSE) and S100-beta (S100B), brain injury biomarkers, can reflect EEG activity and help to evaluate the seizure risk was investigated. METHODS: Eleven patients, admitted to an intensive care unit for refractory status epilepticus, who underwent a minimum of 3 days of continuous EEG concomitantly with daily serum NSE and S100B assays were included. At 103 days the relationships between serum NSE and S100B levels and two EEG scores able to monitor the seizure risk were investigated. Biochemical biomarker thresholds able to predict seizure recurrence were sought. RESULTS: Only NSE levels positively correlated with EEG scores. Similar temporal dynamics were observed for the time courses of EEG scores and NSE levels. NSE levels above 17 ng/ml were associated with seizure in 71% of patients. An increase of more than 15% of NSE levels was associated with seizure recurrence in 80% of patients. CONCLUSIONS: Our study highlights the potential of NSE as a biomarker of EEG activity and to assess the risk of seizure recurrence.

Cerebrospinal fluid and blood biomarkers of status epilepticus.

Status epilepticus is a condition resulting either from the failure of the mechanisms responsible for seizure termination or from the initiation of mechanisms that lead to abnormally prolonged seizures and require urgent administration of antiepileptic drugs. Refractory status epilepticus requires anesthetics drugs and may lead to brain injury with molecular and cellular alterations (eg, inflammation, and neuronal and astroglial injury) that could induce neurologic sequels and further development of epilepsy. Outcome scores based on demographic, clinical, and electroencephalography (EEG) condition are available, allowing prediction of the risk of mortality, but the severity of brain injury in survivors is poorly evaluated. New biomarkers are needed to predict with higher accuracy the outcome of patients admitted with status in an intensive care unit. Here, we summarize the findings of studies from patients and animal models of status epilepticus. Specific protein markers can be detected in the cerebrospinal fluid and the blood. One of the first described markers of neuronal death is the neuron-specific enolase. Gliosis resulting from inflammatory responses after status can be detected through the increase of S100-beta, or some cytokines, like the High Mobility Group Box 1. Other proteins, like progranulin may reflect the neuroprotective mechanisms resulting from the brain adaptation to excitotoxicity. These new biomarkers aim to prospectively identify the severity and development of disability, and subsequent epilepsy of patients with status. We discuss the advantages and disadvantages of each biomarker, by evaluating their brain specificity, stability in the fluids, and sensitivity to external interferences, such as hemolysis. Finally, we emphasize the need for further development and validation of such biomarkers in order to better assess patients with severe status epilepticus.

Plasma cystatin C as a marker for estimated glomerular filtration rate assessment in HIV-1-infected patients treated with dolutegravir-based ART.

Objectives: Inhibition of the organic cation transporter-2 renal tubule transporter by dolutegravir leads to serum creatinine increase. Serum cystatin C is a non-organic cation transporter-2-dependent marker, possibly enabling glomerular filtration rate (GFR) estimation under dolutegravir. Our goal was to evaluate the changes in creatinine- and cystatin C-based estimated GFR values before and after dolutegravir initiation. Methods: Creatinine and cystatin measurements were carried out on frozen plasma samples from HIV-1-infected patients, before and after dolutegravir initiation, between October 2016 and March 2017 at Pitié-Salpêtrière Hospital. CKD-EPI equations were used to estimate mean GFR from creatinine and cystatin C values. Variations were analysed by paired t-test. Results: Forty-four patients were included [median age = 48 years (IQR 36-58) and median CD4 count = 592 cells/mm3 (IQR 388-728)], including 6 ART-naive patients and 38 on switch strategies [72% with viral load <50 copies/mL and median ART duration = 13 years (IQR 5-20)]. Before dolutegravir initiation (median time = 41 days), 19 patients (43%) had creatinine-based estimated GFR <90 mL/min/1.73 m2 and 11 (25%) had cystatin C-based estimated GFR <90 mL/min/1.73 m2. After dolutegravir initiation, serum creatinine values significantly increased (+8.6 µmol/L, 95% CI +5.8; +11.4, P < 0.001) and associated estimated GFR significantly decreased (-7.7 mL/min/1.73 m2, 95% CI -10.4; -5.1, P < 0.001). In contrast, there was no significant change in cystatin C value variation and associated estimated GFR. The same results were observed regardless of renal function at baseline. Conclusions: Creatinine values increased after dolutegravir initiation, whereas no change was observed for cystatin C values. Use of cystatin C may enable better understanding of plasma creatinine fluctuations after dolutegravir initiation, particularly in high-risk renal patients.

Wide-range CRP versus high-sensitivity CRP on Roche analyzers: focus on low-grade inflammation ranges and high-sensitivity cardiac troponin T levels.

Wide-range C-reactive protein (wr-CRP) has been proposed as an economical alternative to high-sensitivity C-reactive protein (hs-CRP) for the evaluation of low-grade inflammation-associated cardiovascular risk (LGI-CVR). Concomitant values of serum hs-CRP and plasma wr-CRP ≤5 mg/L, and high-sensitivity cardiac troponin T (hs-cTnT), all assayed on Roche Diagnostics analyzers over a 1.8-year period, were extracted from a hospital laboratory database. Hs-CRP and wr-CRP values were compared (Bland-Altman method; Deming's correlation), then separately classified into low (<1 mg/L), moderate (1-3 mg/L) and high (>3 mg/L) LGI-CVR ranges for agreement test (κ), assessed before and after Deming's regression-based adjustment of wr-CRP (Adj-wr-CRP). Wr-CRP and hs-CRP values were strongly correlated, with linearity, whether below 5 mg/L (n = 744; τ = 0.933; p < .001) or below 1 mg/L (n = 283; τ = 0.823; p < .001). Overall, wr-CRP values were lower than hs-CRP (mean bias: -0.11 ± 0.17 mg/L). Agreement was good, with 8.1% of wr-CRP values misclassified compared to hs-CRP (κ: 0.874), and weakly improved after regression-based adjustment (7.7% reclassified values; κ: 0.881). Lowering the Adj-wr-CRP cutoff of the moderate LGI-CVR subrange from 1.0 to 0.9 mg/L resulted in an almost perfect agreement (3.2% reclassified data; κ: 0.950). Hs-cTnT concentration was positively associated with hs-CRP, wr-CRP, and Adj-wr-CRP (p < .001). Within each LGI-CVR subrange, hs-cTnT medians were similar regardless of the hs-CRP, wr-CRP or Adj-wr-CRP used for risk classification. Based on hs-cTnT, this study supports the use of wr-CRP as a low-cost alternative to hs-CRP for cardiovascular risk evaluation.

High-Sensitivity Cardiac Troponin T: a Preanalytical Evaluation.

BACKGROUND: Little is known about the effects of preanalytical conditions on high-sensitivity cardiac troponin T (hs-cTnT) concentrations. METHODS: Variations of hs-cTnT concentrations were evaluated under the following preanalytical conditions: 1) serum vs. lithium-heparin (Li-Hep) plasma, with or without separator gel; 2) centrifugation time (15-minutes vs. 10-minutes) and speed (1467 to 3756 g); 3) stability in Li-Hep plasma at room temperature and +4 degrees C for 4 days and at -80 degrees C for up to 12 months, for three concentrations; 4) four freeze-thaw cycles at -20 degrees C and -80 degrees C, for three concentrations. RESULTS: No significant changes were found regarding the type of blood collection tube, the centrifugation, and storage conditions. Minor decreases were observed after four freeze-thaw cycles at -20 degrees C (< 6.5%) and -80 degrees C (< 3.4%). CONCLUSIONS: High-sensitivity cardiac troponin T may be considered as not impacted by usual preanalytical conditions, thus strengthening its reliability in laboratory practice and clinical research.

Stability of Routine Biochemical Analytes in Whole Blood and Plasma From Lithium Heparin Gel Tubes During 6-hr Storage.

BACKGROUND: The stability of biochemical analytes has already been investigated, but results strongly differ depending on parameters, methodologies, and sample storage times. We investigated the stability for many biochemical parameters after different storage times of both whole blood and plasma, in order to define acceptable pre- and postcentrifugation delays in hospital laboratories. METHODS: Twenty-four analytes were measured (Modular® Roche analyzer) in plasma obtained from blood collected into lithium heparin gel tubes, after 2-6 hr of storage at room temperature either before (n = 28: stability in whole blood) or after (n = 21: stability in plasma) centrifugation. Variations in concentrations were expressed as mean bias from baseline, using the analytical change limit (ACL%) or the reference change value (RCV%) as acceptance limit. RESULTS: In tubes stored before centrifugation, mean plasma concentrations significantly decreased after 3 hr for phosphorus (-6.1% [95% CI: -7.4 to -4.7%]; ACL 4.62%) and lactate dehydrogenase (LDH; -5.7% [95% CI: -7.4 to -4.1%]; ACL 5.17%), and slightly decreased after 6 hr for potassium (-2.9% [95% CI: -5.3 to -0.5%]; ACL 4.13%). In plasma stored after centrifugation, mean concentrations decreased after 6 hr for bicarbonates (-19.7% [95% CI: -22.9 to -16.5%]; ACL 15.4%), and moderately increased after 4 hr for LDH (+6.0% [95% CI: +4.3 to +7.6%]; ACL 5.17%). Based on RCV, all the analytes can be considered stable up to 6 hr, whether before or after centrifugation. CONCLUSION: This study proposes acceptable delays for most biochemical tests on lithium heparin gel tubes arriving at the laboratory or needing to be reanalyzed.

Hemolysis indexes for biochemical tests and immunoassays on Roche analyzers: determination of allowable interference limits according to different calculation methods.

OBJECTIVES: To determine the hemolysis interference on biochemical tests and immunoassays performed on Roche Diagnostics analyzers, according to different maximum allowable limits. DESIGN AND METHODS: Heparinized plasma and serum pools, free of interferences, were overloaded by increasing amounts of a hemoglobin-titrated hemolysate. This interference was evaluated for 45 analytes using Modular(®) and Cobas(®) analyzers. For each parameter, the hemolysis index (HI) corresponding to the traditional ± 10% change of concentrations from baseline (± 10%Δ) was determined, as well as those corresponding to the analytical change limit (ACL), and to the reference change value (RCV). Then, the relative frequencies distribution (% RFD) of hemolyzed tests performed in a hospital laboratory over a 25-day period were established for each HI as allowable limit. RESULTS: Considering the ± 10%Δ, the analyte concentrations enhanced by hemolysis were: Lactate dehydrogenase (LDH), aspartate aminotransferase (AST), folate, potassium, creatine kinase, phosphorus, iron, alanine aminotransferase, lipase, magnesium and triglycerides, decreasingly. The analyte concentrations decreased by hemolysis were: Haptoglobin, high-sensitive troponin T and alkaline phosphatase. Over the 25-day period, the % RFD of tests impacted more than 10%Δ by hemolysis were < 7% for LDH; < 5% for AST, folates and iron; and < 1% for the other analytes. Considering the ACL, HI were lower, giving % RFD substantially increased for many analytes, whereas only four analytes remain sensitive to hemolysis when considering RCV. CONCLUSION: This study proposes new HI based on different allowable limits, and can therefore serve as a starting point for future harmonization of hemolysis interference evaluation needed in routine laboratory practice.

Protein-S-100-beta is increased in patients with decompensated cirrhosis admitted to ICU.

Background: Hepatic encephalopathy (HE) is highly prevalent in patients with liver diseases. The pathophysiology of HE is centered on the synergic role of hyperammonemia and systemic inflammation. However, some data suggest altered functioning of the blood-brain barrier (BBB). Assessing BBB function is challenging in clinical practice and at the bedside. Protein-S-100 Beta (PS100-Beta) could be a useful peripheral marker of BBB permeability in HE. This study aimed to assess plasmatic PS100-Beta levels in a prospective cohort of patients admitted to the intensive care unit (ICU) with decompensated cirrhosis with and without overt HE. Methods: We retrospectively evaluated a prospective cohort of cirrhotic patients admitted to the ICU from October 2013 to September 2015 that had an available plasmatic PS100-Beta measurement. Patients with previous neurological impairment or limitation of intensive or resuscitative measures were excluded. Overt HE was defined as West-Haven grades 2 to 4. The patients were compared to a control cohort of outpatient clinic cirrhotic and non-cirrhotic patients explored for isolated elevation of liver enzymes. After ICU discharge, the patients were followed for at least 3 months for the occurrence of overt HE. Adverse outcomes (liver transplantation or death) were collected. The ability of PS100-Beta - in combination with other factors - to predict overt HE was evaluated in a multivariate analysis using logistic regression. Likelihood ratios were used to determine the effects and calculate odds ratios (OR). Survival analysis was performed by using the Kaplan-Meier method and survival between groups was compared using a Log-rank test. Results: A total of 194 ICU patients and 207 outpatients were included in the study. Increased levels of plasmatic PS100-Beta were detected in the ICU decompensated cirrhotic patients compared with the outpatients ([0.15±0.01] mg/L vs. [0.08±0] mg/L, P <0.001). ICU patients with overt HE had higher levels of PS100-Beta ([0.19±0.03] mg/L) compared with the ICU patients without overt HE ([0.13±0.01] mg/L) (P=0.003). PS100-Beta levels did not differ in outpatients with F 0-3 compared to F 4 fibrosis (P=0.670). PS100-Beta values were correlated with Child-Pugh score (P <0.001), Model for End-Stage Liver Disease (MELD) score (P=0.004), C-reactive protein (P <0.001), ammonemia (P <0.001), and chronic liver failure consortium (CLIF-C) organ failure (P <0.001) and CLIF-C acute-on-chronic (P=0.038) scores, but not with leukocytes (P=0.053), procalcitonin (PCT) (P=0.107), or the lymphocyte-to-neutrophil ratio in ICU patients (P=0.522). In a multivariate model including age, ammonemia, PS100-Beta, PCT, MELD, presence of transjugular portosystemic shunt, and sodium level, the diagnostic performance was 0.765 for the diagnosis of overt HE. Patients with a PS100-Beta level <0.12 mg/L had a better overall survival (P=0.019) and a better survival without liver transplantation (P=0.013). Conclusions: Serum levels of PS100-Beta are elevated in ICU patients with decompensated cirrhosis, and even more so in those displaying overt HE, and the levels are correlated with outcome. This suggests an increase in the permeability of the BBB in these patients.

Small platelet microparticle levels are increased in pulmonary arterial hypertension.

BACKGROUND: The various aetiologies and risk factors for pulmonary arterial hypertension (PAH) lead to close phenotypes with small differences. Plasma microparticles have been shown to be increased in vascular pathologies including PAH. The aim of this study was to determine whether the levels of endothelial and platelet-derived microparticles could vary between different forms of PAH: idiopathic PAH (iPAH), heritable PAH associated with BMPR2 (Bone morphogenetic protein receptor, type II) mutation (hPAH) and PAH associated with connective tissue diseases (aPAH). MATERIALS AND METHODS: Microparticles were analysed using flow cytometry in plasma from controls and iPAH, hPAH and aPAH patients. Platelet-derived MP (PMP) were defined as CD31(+)/CD41(+) and endothelial-derived MP (EMP) as CD31(+)/CD41(-). Two populations of PMP were isolated according to their size, defining small PMP (0·3-0·5 µm) and large PMP (0·5-0·9 µm). BMPR2 genotype, clinical and biologic parameters were recorded. RESULTS: EMP and small PMP levels in iPAH, hPAH and aPAH were similar and were significantly increased as compared with controls. No differences in large PMP levels were observed. After adjusting for age, sex, proBNP and CRP, EMP and small PMP levels did not correlate with clinical parameters. CONCLUSIONS: iPAH, hPAH and aPAH were characterized by increased levels of EMP and of small PMP, a new class of PMP which seems to be differentially produced than large PMP.

Validation of liver fibrosis biomarker (FibroTest) for assessing liver fibrosis progression: proof of concept and first application in a large population.

BACKGROUND & AIMS: Time-dependent statistics have been used to assess liver fibrosis progression (LFP) in liver diseases from birth to first biopsy, in a limited number of patients. Non-invasive biomarkers such as FibroTest (FT) should allow the estimation of LFP on larger populations. We aimed at validating this concept by comparing LFP using FT vs. biopsy (P1) and then at applying the non-invasive method to a large population (P2). METHODS: In P1, LFP was assessed using biopsy and FT in 2472 untreated patients: 770 with chronic hepatitis C, 723 with hepatitis B, 761 with non-alcoholic fatty liver disease (NAFLD), and 218 with alcoholic fatty liver disease (ALD). In P2, 342,346 interpretable FT prospectively measured were used. LFP was estimated using transition rates (cumulative hazard rate) to cirrhosis (F4) or to minimal fibrosis (>F0). RESULTS: In P1, there was a significant concordance between FT and biopsy estimates of hazards with intraclass correlation (ICC)=0.961 (95% CI 0.948-0.970) and 0.899 (95% CI 0.135-0.969) for F4 and >F0, respectively. This concordance persisted according to the disease and the gender. The more rapid LFP to F4 (biopsy/FT) was observed for men with ALD (1.44/1.62), and the slower for women with NAFLD (0.09/0.02). In P2, the LFP started to increase for men at the age of 30 years. The cumulative fibrosis progression rate to minimal fibrosis in women crossed the "man curve" around the age of 80 years. The following factors were associated with LFP to F4 (all p<0.0001): male gender (Relative Risk=3.29), HIV co-infection (2.33), and residency in Middle East (2.67) or Eastern Europe (2.15). CONCLUSIONS: Validated biomarkers such as FibroTest should allow powerful analysis of fibrosis progression in chronic liver diseases and better identification of risk factors.

Comparison of Transient Elastography, ShearWave Elastography, Magnetic Resonance Elastography and FibroTest as routine diagnostic markers for assessing liver fibrosis in children with Cystic Fibrosis.

BACKGROUND AND OBJECTIVE: Reliable markers are needed for early diagnosis and follow-up of liver disease in Cystic Fibrosis (CF). The objective was to evaluate the diagnostic performance of Transient Elastography (TE), Real-Time ShearWave Ultrasound Elastography (SWE), Magnetic Resonance Elastography (MRE) and the FibroTest as markers of Cystic Fibrosis Liver Disease (CFLD). METHODS: A monocentric prospective cross-modality comparison study was proposed to all children (6 to 18 years of age) attending the CF center. Based on liver ultrasound findings, participants were classified into 3 groups: multinodular liver or portal hypertension (Nodular US/PH, advanced CFLD), heterogeneous increased echogenicity (Heterogeneous US, CFLD) or neither (Normal/Homogeneous US, no CFLD). The 4 tests were performed on the same day. The primary outcome was the FibroTest value and liver stiffness measurements (LSM). RESULTS: 55 participants (mean age 12.6 ± 3.3 years; 25 girls) were included between 2015 and 2018: 23 in group Nodular US/PH, 8 in group Heterogeneous US and 24 in group Normal/Homogeneous US (including 4 with steatosis). LSM on TE, SWE and MRE were higher in participants with CFLD (groups Nodular US/PH and Heterogeneous US) compared to others (group Normal/Homogeneous US) (p<0.01), while FibroTest values did not differ (p = 0.09). The optimal cut-off values for predicting CFLD on TE, SWE and MRE were 8.7 (AUC=0.83, Se=0.71, Sp=0.96), 7.8 (AUC=0.85, Se=0.73, Sp=0.96) and 4.15 kPa (AUC=0.68, Se=0.73, Sp=0.64), respectively. LSM predicted the occurrence of major liver-related events at 3 years. TE and SWE were highly correlated (Spearman's ρ=0.9) and concordant in identifying advanced CFLD (Cohen's κ=0.84) while MRE was moderately correlated and concordant with TE (ρ=0.41; κ=36) and SWE (ρ=0.5; κ=0.50). CONCLUSION: This study demonstrated excellent diagnostic performance of TE, SWE and MRE for the diagnosis of CFLD.

Clinico-biological markers for the prognosis of status epilepticus in adults.

Prediction of mortality, functional outcome and recovery after status epilepticus (SE) is a challenge. Biological and clinical markers have been proposed to reflect the brain injury or to monitor critical ill patients' severity. The aim of this study was to characterize short-term and long-term prognostic factors for SE patients hospitalized in intensive care unit. Patient's outcome was assessed using the modified Rankin Scale at discharge and after 6-12 months. We first assessed the univariate prognosis significance of 51 clinical, demographic or biochemical markers. Next, we built multivariate clinico-biological models by combining most important factors. Statistical models' performances were compared to those of two previous published scales STESS and mSTESS. Eighty-one patients were enrolled. Thirty-five patients showed a steady state while 46 patients clinically worsened at discharge: 14 died, 14 had persistent disability at 6-12 months and 18 recovered. Logistic regression analysis revealed that clinical markers (SE refractoriness, SE duration, de novo SE) were significant independent predictors of worsening while lipids markers and progranulin better predicted mortality. The association of clinico-biological variables allowed to accurately predict worsening at discharge (AUC > 0.72), mortality at discharge (AUC 0.83) and recovery at long-term (AUC 0.89). Previous scales provided lower prediction for worsening (AUC 0.63, STESS; 0.53, mSTESS) and mortality (AUC 0.56, STESS; 0.62, mSTESS) (p < 0.001). We proposed new clinico-biological models with a strong discrimination power for prediction of short- and long-term outcome of hospitalized status epilepticus patients. Their implementation in electronic devices may enhance their clinical liability.

Neuron Specific Enolase, S100-beta protein and progranulin as diagnostic biomarkers of status epilepticus.

Status epilepticus (SE) is a life-threatening prolonged epileptic seizure. A rapid diagnosis is fundamental to initiate antiepileptic treatment and to prevent the development of neurological sequels. Several serum and cerebrospinal fluid biomarkers have been proposed to help in the diagnosis of SE. Nevertheless, previous studies were conducted on too small patient cohorts, precluding the utilization of interesting biomarkers for the SE diagnosis. Here, we aimed to assess the ability of Neuron Specific Enolase (NSE), S100-beta protein (S100B) and progranulin to help in the diagnosis of SE in a large cohort of patients (36 control patients, 56 patients with pharmacoresistant epilepsy and 82 SE patients). Blood NSE, S100B and progranulin levels were higher in SE patients when compared with control patients or patients with pharmacoresistant epilepsy. Both NSE and progranulin levels were higher in cerebrospinal fluid from SE patients when compared with control patients. The receiver-operating characteristics curves revealed good accuracy at detecting SE for serum S100B (AUC 0.748) and plasma progranulin (AUC 0.756). The performances were lower for serum NSE (AUC 0.624). Eighty-four percent of patients with serum S100B levels above 0.09 ng/mL presented with a SE, whereas 90% of patients without SE had serum S100B levels lower than 0.09 ng/mL. Serum S100B levels were not significantly different according to SE etiology, SE semiology or SE refractoriness. Our results confirm that NSE, S100B and progranulin levels are increased after SE. We suggest that serum S100B levels might be added to clinical evaluation and electroencephalogram to identify difficult-to-diagnose form of SE.

Applicability and precautions of use of liver injury biomarker FibroTest. A reappraisal at 7 years of age.

BACKGROUND: FibroTest (FT) is a validated biomarker of fibrosis. To assess the applicability rate and to reduce the risk of false positives/negatives (RFPN), security algorithms were developed. The aims were to estimate the prevalence of RFPN and of proven failures, and to identify factors associated with their occurrences. METHODS: Four populations were studied: 954 blood donors (P1), 7,494 healthy volunteers (P2), 345,695 consecutive worldwide sera (P3), including 24,872 sera analyzed in a tertiary care centre (GHPS) (P4). Analytical procedures of laboratories with RFPN > 5% and charts of P4 patients in with RFPN were reviewed. RESULTS: The prevalence of RFPN was 0.52% (5/954; 95%CI 0.17-1.22) in P1, 0.51% (38/7494; 0.36-0.70) in P2, and 0.97% (3349/345695; 0.94-1.00) in P3. Three a priori high-risk populations were confirmed: 1.97% in P4, 1.77% in HIV centre and 2.61% in Sub-Saharan origin subjects. RFPN was mostly associated with low haptoglobin (0.46%), and high apolipoproteinA1 (0.21%). A traceability study of a P3 laboratory with RFPFN > 5% permitted to correct analytical procedures. CONCLUSION: The mean applicability rate of Fibrotest was 99.03%. Independent factors associated with the high risk of false positives/negatives were HIV center, subSaharan origin, and a tertiary care reference centre, although the applicability rate remained above 97%.

What are the best reference values for a normal serum alanine transaminase activity (ALT)? Impact on the presumed prevalence of drug induced liver injury (DILI).

BACKGROUND: In clinical research, the definition of the upper limit of normal (ULN) is rarely detailed. For alanine transaminase (ALT), there are several definitions of ULN-ALT but no recognized global reference. Furthermore the inter-laboratory variability of results expressed using ULN-ALT is higher than using the actual value of ULN expressed in IU/L. Regulatory agencies still use ULN-ALT for the definition of drug adverse events such as drug induced liver disease (DILI). METHODS: We applied two extreme definitions of ULN-ALT (26 and 66 IU/L) in two populations with different liver disease risk: 7463 consecutive volunteers representative a low risk population, and 6865 consecutive patients hospitalized in a tertiary referral center. The same assay technique was used for both populations on fresh plasma in the same laboratory. RESULTS: In the low risk population the liver disease estimates ranged from 0% to 1.99% according to ULN-ALT definition and gender; prevalence of liver disease as defined by Temple's criteria (3×ULN) decreased significantly with increased ULN-ALT threshold and prevalence of liver disease was lower in females compared to males (all P<0.001). In the high risk population the estimates of liver disease prevalence ranged from 0.78% to 15.85%; disease prevalence using both Temple's corollary and Hy's law criteria (3×ULN-ALT and bilirubin >34 µmol/L) decreased significantly with increased ULN-ALT threshold and females compared to males. In the low risk population the two major factors associated with ULN variability were gender and BMI. CONCLUSION: Artificial statistical modifications of the procedures chosen for the ULN-ALT definition change dramatically the prevalence of DILI estimates. A consensus in liver disease definitions seems mandatory for DILI studies in order to prevent misleading conclusions.

Transportation and handling of blood samples prior to ammonia measurement in the real life of a large university hospital.

BACKGROUND: Hyperammonemia is neurotoxic and as such can be a medical emergency. Preanalytical factors greatly influence the blood ammonia concentration results. AIMS AND METHODS: Ammonia concentrations measured in the real life setting of a large hospital after pneumatic transport of blood samples and various time periods before centrifugation were compared to those based on the indications of the reagent manufacturer. In the same routine context, the effects of waiting times of centrifuged samples or after plasma storage at -20 °C and -80 °C were determined. RESULTS: Despite the pneumatic transport, the lead times for sample arrival to the lab were even longer than those recommended for their complete handling until ammonia assay. Ammonia concentration results were not affected by the pneumatic transport of blood samples and by waiting times up to a maximum of 1.75 h before their centrifugation and 1 h after centrifugation. Ammonia stability was superior when plasma was stored at -80 °C. CONCLUSION: Pneumatic transport and sample handling in the routine practice of our lab do not affect ammonia concentration results provided that waiting times are limited to 1.75 h before and 1 h after centrifugation and samples are kept cold. Otherwise, it is better to freeze plasma at -80 °C.

Performance of liver biomarkers, in patients at risk of nonalcoholic steato-hepatitis, according to presence of type-2 diabetes.

OBJECTIVE: There is a controversy about the performance of blood tests for the diagnostic of metabolic liver disease in patients with type-2-diabetes in comparison with patients without type-2-diabetes. These indirect comparisons assumed that the gold-standard is binary, whereas fibrosis stages, steatosis and nonalcoholic-steato-hepatitis (NASH) grades use an ordinal scale. The primary aim was to compare the diagnostic performances of FibroTest in type-2-diabetes vs. controls matched on gender, age, fibrosis stages and obesity, and taking into account the spectrum effect by Obuchowski measure. METHODS: Data were retrospectively compared among patients prospectively included, with simultaneous biopsy and blindly assessed FibroTest, SteatoTest-2 and NashTest-2. The secondary aim was to construct an index (SpectrumF3F4-Index) to predict an adjusted-area under the receiver operating curve (AUROC) for F3F4 diagnosis from the prevalences of fibrosis stages, permitting to reduce the spectrum effect when performances of FibroTest, transient elastography and magnetic resonance elastography are indirectly compared. RESULTS: In 505 patients at risk of NASH, the Obuchowski measures [95% confidence interval (CI)] of FibroTest, SteatoTest-2 and NashTest-2 were all equivalent in 136 type-2-diabetes cases vs. 369 matched controls: 0.871 (0.837-0.905), vs. 0.880 (0.879-0.881), 0.835 (0.797-0.873) vs. 0.806 (0.780-0.832) and 0.829 (0.793-0.865) vs. 0.855 (0.829-0.869), respectively. Standard-AUROCs (95% CI) were 0.932 (0.898-0.965), 0.872 (0.837-0.907) and 0.834 (0.699-0.969) and reduced after adjustment by SpectrumF3F4-Index to 0.794 (0.749-0.838), 0.767 (0.750-0.783) and 0.773 (0.725-0.822) for transient, magnetic resonance elastography and FibroTest, respectively. CONCLUSIONS: When compared by Obuchowski measures, the performances of tests were not different in patients with T2-diabetes vs. patients without T2-diabetes. When individual data are not available, adjusted-AUROCs reduced the spectrum effect.