Volume 56, Issue 3

Primary aldosteronism (PA) is a group of disorders in which aldosterone is excessively produced. These disorders can lead to hypertension, hypokalemia, hypervolemia and metabolic alkalosis. The prevalence of PA ranges from 5% to 12% around the globe, and the most common causes are adrenal adenoma and adrenal hyperplasia. The importance of PA recognition arises from the fact that it can have a remarkably adverse cardiovascular and renal impact, which can even result in death. The aldosterone-to-renin ratio (ARR) is the election test for screening PA, and one of the confirmatory tests, such as oral sodium loading (OSL) or saline infusion test (SIT), is in general necessary to confirm the diagnosis. The distinction between adrenal hyperplasia (AH) or aldosterone-producing adenoma (APA) is essential to select the appropriate treatment. Therefore, in order to identify the subtype of PA, imaging exams such as computed tomography or magnetic ressonance imaging, and/or invasive investigation such as adrenal catheterization must be performed. According to the subtype of PA, optimal treatment – surgical for APA or pharmacological for AH, with drugs like spironolactone and amiloride – must be offered.

Acute intestinal ischemic injury (i3) is a life-threatening condition with disastrous prognosis, which is currently difficult to diagnose at the early stages of the disease; a rapid diagnosis is mandatory to avoid irreversible ischemia, extensive bowel resection, sepsis and death. The overlapping protein expression of liver and gut related to the complex physiopathology of the disease, the heterogeneity of the disease and its relative rarity could explain the lack of a useful early biochemical marker of i3. Apart from non-specific biological markers of thrombosis, hypoxia inflammation, and infection, several more specific biomarkers in relation with the gut barrier dysfunction, the villi injury and the enterocyte mass have been used in the diagnosis of acute i3. It includes particularly D-lactate, intestinal fatty acid-binding protein (FABP) and citrulline. Herein, we will discuss leading publications concerning these historical markers that point out the main limitations reagrding their use in routine clinical practice. We will also introduce the first and limited results arising from omic studies, underlying the remaining effort that needs to be done in the field of acute i3 biological diagnosis, which remains a challenge.

Background: In laboratory medicine, routine periodic analyses for internal and external quality control measurements interpreted by statistical methods are mandatory for batch clearance. Data analysis of these process-oriented measurements allows for insight into random analytical variation and systematic calibration bias over time. However, in such a setting, any individual sample is not under individual quality control. The quality control measurements act only at the batch level. Quantitative or qualitative data derived for many effects and interferences associated with an individual diagnostic sample can compromise any analyte. It is obvious that a process for a quality-control-sample-based approach of quality assurance is not sensitive to such errors. Content: To address the potential causes and nature of such analytical interference in individual samples more systematically, we suggest the introduction of a new term called the irregular (individual) analytical error . Practically, this term can be applied in any analytical assay that is traceable to a reference measurement system. For an individual sample an irregular analytical error is defined as an inaccuracy (which is the deviation from a reference measurement procedure result) of a test result that is so high it cannot be explained by measurement uncertainty of the utilized routine assay operating within the accepted limitations of the associated process quality control measurements. Summary: The deviation can be defined as the linear combination of the process measurement uncertainty and the method bias for the reference measurement system. Such errors should be coined irregular analytical errors of the individual sample. The measurement result is compromised either by an irregular effect associated with the individual composition (matrix) of the sample or an individual single sample associated processing error in the analytical process. Outlook: Currently, the availability of reference measurement procedures is still highly limited, but LC-isotope-dilution mass spectrometry methods are increasingly used for pre-market validation of routine diagnostic assays (these tests also involve substantial sets of clinical validation samples). Based on this definition/terminology, we list recognized causes of irregular analytical error as a risk catalog for clinical chemistry in this article. These issues include reproducible individual analytical errors (e.g. caused by anti-reagent antibodies) and non-reproducible, sporadic errors (e.g. errors due to incorrect pipetting volume due to air bubbles in a sample), which can both lead to inaccurate results and risks for patients.

It is well known that the results of immunoassay methods can be affected by specific or non-specific interferences, ranging from 0.4% to 4.0%. The presence of interference may greatly compromise the accuracy of immunoassay analyses causing an error in the measurement, producing false-positive or false-negative results. From a clinical point of view, these analytical errors may have serious implications for patient care because they can cause misdiagnosis or inappropriate treatment. Unfortunately, it is a very difficult task to identify the irregular analytical errors related to immunoassay methods because they are not detectable by normal laboratory quality control procedures, are reproducible within the test system, may be clinically plausible and are relatively rare. The first line of defense against erroneous results is to use in laboratory practice only immunoassay systems with the highest level of robustness against interference. The second line of defense is always taking into account the possibility of interference in immunoassay results. A correct approach should be addressed on identification of samples at high risk of interference. The attainment of this goal requires a critical review of the test result in relation to patient’s clinical conditions and literature data, taking into account the analytical characteristics of the immunoassay system. The experts in immunoassay systems should make every effort to find some specific and reliable quality indicators for irregular analytical errors in order to better detect and monitor erroneous immunoassay results due to specific or non-specific interferences.

Background: There is no consensus in the literature about what analytes or values should be informed as critical results and how they should be communicated. The main aim of this project is to establish consensual standards of critical results for the laboratories participating in the study. Among the project’s secondary objectives, establishing consensual procedures for communication can be highlighted. Methods: Consensus was reached among all participating laboratories establishing the basis for the construction of the initial model put forward for consensus in conjunction with the clinicians. A real-time Delphi, methodology “health consensus” (HC), with motivating and participative questions was applied. The physician was expected to choose a numeric value within a scale designed for each analyte. Results: The medians of critical results obtained represent the consensus on critical results for outpatient and inpatient care. Both in primary care and in hospital care a high degree of consensus was observed for critical values proposed in the analysis of creatinine, digoxin, phosphorus, glucose, international normalized ratio (INR), leukocytes, magnesium, neutrophils, chloride, sodium, calcium and lithium. For the rest of critical results the degree of consensus obtained was “medium high”. The results obtained showed that in 72% of cases the consensual critical value coincided with the medians initially proposed by the laboratories. Conclusions: The real-time Delphi has allowed obtaining consensual standards for communication of critical results among the laboratories participating in the study, which can serve as a basis for other organizations.

Background: Blood specimens are transported from clinical departments to the biochemistry laboratory by hospital courier service, sometimes over long distances. The aim of this study was to assess the stability of common biochemical analytes in venous blood under our routine transport conditions and to evaluate analyte stability after prompt or delayed centrifugation. Methods: We investigated pre- and postanalytical contributions of 32 biochemical analytes in plasma and serum samples from 10 patients (healthy adults and patients from intensive care units). Differences in analyte concentrations between baseline (T0) and different time intervals (2, 4, 6, 8, 12 and 24 h) following storage after prompt and delayed centrifugation were reported. Evaluation was against the total change limit as described by Oddoze et al. (Oddoze C, Lombard E, Portugal H. Stability study of 81 analytes in human whole blood, in serum and in plasma. Clin Biochem 2012;45:464–9). Results: The majority of analytes were stable with delayed separation up to 12 h, except for potassium, C-peptide, osteocalcin, parathyroid hormone (PTH), bicarbonate and LDH. After prompt centrifugation and storage at 4°C, stability was greatly increased up to 48 h for most analytes. LDH and bicarbonate had the lowest stability after centrifugation; therefore, no reanalysis of these analytes in a centrifuged tube can be allowed. Conclusions: Knowledge of analyte stability is crucial to interpret biological analysis with confidence. However, centrifugation prior to transport is time consuming, and the transfer of plasma or serum from a primary tube to a secondary tube increases the risk of preanalytical errors. For analytes that are stable in whole blood for 24 h or more, it seems that there is no benefit to centrifuge before transport.

Background: Although recommended by the Kidney Disease Improving Global Outcomes, the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI CR ) creatinine equation was not targeted to estimate glomerular filtration rate (eGFR) among older adults. The Berlin Initiative Study (BIS1 CR ) equation was specifically developed in older adults, and the Lund-Malmö revised (LMR CR ) and the Full Age Spectrum (FAS CR ) equations have shown promising results in older adults. Our aim was to validate these four creatinine equations, including addition of cystatin C in a large multicenter cohort of Europeans ≥70 years. Methods: A total of 3226 individuals (2638 with cystatin C) underwent GFR measurement (mGFR; median, 44 mL/min/1.73 m 2 ) using plasma iohexol clearance. Bias, precision (interquartile range [IQR]), accuracy (percent of estimates ±30% of mGFR, P 30 ), eGFR accuracy diagrams and probability diagrams to classify mGFR<45 mL/min/1.73 m 2 were compared. Results: The overall results of BIS1 CR /CKD-EPI CR /FAS CR /LMR CR were as follows: median bias, 1.7/3.6/0.6/−0.7 mL/min/1.73 m 2 ; IQR, 11.6/12.3/11.1/10.5 mL/min/1.73 m 2 ; and P 30 , 77.5%/76.4%/80.9%/83.5% (significantly higher for LMR, p<0.001). Substandard P 30 (<75%) was noted for all equations at mGFR<30 mL/min/1.73 m 2 , and at body mass index values <20 and ≥35 kg/m 2 . LMR CR had the most stable performance across mGFR subgroups. Only LMR CR and FAS CR had a relatively constant small bias across eGFR levels. Probability diagrams exhibited wide eGFR intervals for all equations where mGFR<45 could not be confidently ruled in or out. Adding cystatin C improved P 30 accuracy to 85.7/86.8/85.7/88.7 for BIS2 CR+CYS /CKD-EPI CR+CYS /FAS CR+CYS /MEAN LMR+CAPA . Conclusions: LMR CR and FAS CR seem to be attractive alternatives to CKD-EPI CR in estimating GFR by creatinine-based equations in older Europeans. Addition of cystatin C leads to important improvement in estimation performance.

Background: Colorimetric albumin assays based on binding to bromocresol purple (BCP) and bromocresol green (BCG) yield different results in chronic kidney disease. Altered dye binding of carbamylated albumin has been suggested as a cause. In the present study, a detailed analysis was carried out in which uremic toxins, acute phase proteins and Kt/V, a parameter describing hemodialysis efficiency, were compared with colorimetrically assayed (BCP and BCG) serum albumin. Methods: Albumin was assayed using immunonephelometry on a BN II nephelometer and colorimetrically based on, respectively, BCP and BCG on a Modular P analyzer. Uremic toxins were assessed using high-performance liquid chromatography. Acute phase proteins (C-reactive protein and α 1 -acid glycoprotein) and plasma protein α 2 -macroglobulin were assayed nephelometrically. In parallel, Kt/V was calculated. Results: Sixty-two serum specimens originating from hemodialysis patients were analyzed. Among the uremic toxins investigated, total para-cresyl sulfate (PCS) showed a significant positive correlation with the BCP/BCG ratio. The serum α 1 -acid glycoprotein concentration correlated negatively with the BCP/BCG ratio. The BCP/BCG ratio showed also a negative correlation with Kt/V. Conclusions: In renal insufficiency, the BCP/BCG ratio of serum albumin is affected by multiple factors: next to carbamylation, uremic toxins (total PCS) and α 1 -acid glycoprotein also play a role.

Background: The iodine status of populations is usually assessed by median urinary iodine concentrations (UIC) in population-based studies, but it is unclear to which extent UIC are comparable across different laboratories. The aim of our study was to investigate the variability of UIC measurements across three well-established German laboratories with long-term clinical-chemical expertise in iodine measurements and to compare these results to the gold standard inductively coupled plasma mass spectrometry (ICP-MS). Methods: UIC levels were measured from 303 urine samples derived from the “Dortmund Nutritional and Anthropometric Longitudinally Designed Study” and from volunteers of the University Medicine Greifswald at four different German laboratories. Three of these laboratories used Sandell-Kolthoff reaction with different digestion methods for UIC measurement (Lab1–Lab3), whereas one laboratory used ICP-MS as gold standard. Results: Median UIC levels were significantly different across the four laboratories (ICP-MS: 77 μg/L; Lab1: 69 μg/L; Lab2: 73 μg/L; Lab3: 111 μg/L). Linear regressions associating UIC levels of Lab1–Lab3 with UIC levels of ICP-MS showed intercepts significantly different from 0 and slopes significantly different from 1. Intraclass correlations (ICC) in comparison to ICP-MS were 0.91 for Lab1, 0.98 for Lab2, and 0.69 for Lab3. Using the digestion method of Lab2 in Lab3 improved the comparison of UIC levels of Lab3 with those from the ICP-MS (ICC=0.89). Conclusions: We have demonstrated larger interlaboratory variations across high-quality laboratories with long-lasting experience in iodine measurements indicating a relevant non-comparability of UIC measurements in iodine monitoring studies. Therefore, standardization of UIC measurements has to be expedited.

Background: Hospitalized patients with acute medical conditions have higher venous thromboembolism (VTE) risk. A patient with a final Padua Prediction Score (PPS) of ≥4 is considered to be at high risk for VTE. The aim of this study was to investigate on a possible relationship between PPS, the dynamics of the clot formation, i.e. the clot waveform analysis (CWA) of aPTT, fibrinogen and D-Dimer in a large group of medical patients. Methods: CWA in terms of velocity (first derivative), acceleration (second derivative), density (Delta) of aPTT, fibrinogen, D-Dimer and PPS for VTE were determined in 801 medical patients divided in three groups (without antithrombotic prophylaxis and high PPS, without antithrombotic prophylaxis and low PPS, with antithrombotic prophylaxis and high PPS) and a group of healthy subjects. Results: CWA, fibrinogen and D-Dimer values were higher in the medical patients with high PPS with or without antithrombotic prophylaxis when compared with patients without antithrombotic prophylaxis with low PPS and healthy subjects. The second derivative, fibrinogen and D-Dimer were significantly associated with a high PPS score (≥4): odds ratio (OR) = 1.53, 95% confidence interval (CI) = 1.03–2.28; OR = 1.91, 95% CI = 1.3–2.79; OR = 3.16, 95% CI = 2.29–4.36, respectively. Interactions between first derivative and D-Dimer (OR = 2.14, 95% CI = 1.23–3.72) and first derivative and fibrinogen (OR = 1.75, 95% CI = 1.02–2.98) were found. Conclusions: CWA could give useful information to recognize a hypercoagulable state in patients admitted to a medical ward with high and low PPS. First and second derivative aPTT, D-Dimer and fibrinogen levels could be added to PPS to better assess the global thromboembolic risk of these patients.

Background: The need to satisfy high-throughput demands for laboratory tests continues to be a challenge. Therefore, we aimed to automate postanalytical phase in hematology and coagulation laboratory by autovalidation of complete blood count (CBC) and routine coagulation test results (prothrombin time [PT], international normalized ratio [PT-INR], activated partial thromboplastin time [APTT], fibrinogen, antithrombin activity [AT] and thrombin time [TT]). Work efficacy and turnaround time (TAT) before and after implementation of automated solutions will be compared. Methods: Ordering panels tailored to specific patient populations were implemented. Rerun and reflex testing rules were set in the respective analyzers’ software (Coulter DxH Connectivity 1601, Beckman Coulter, FL, USA; AutoAssistant, Siemens Healthcare Diagnostics, Germany), and sample status information was transferred into the laboratory information system. To evaluate if the automation improved TAT and efficacy, data from manually verified results in September and October of 2015 were compared with the corresponding period in 2016 when autovalidation was implemented. Results: Autovalidation rates of 63% for CBC and 65% for routine coagulation test results were achieved. At the TAT of 120 min, the percentage of reported results increased substantially for all analyzed tests, being above 90% for CBC, PT, PT-INR and fibrinogen and 89% for APTT. This output was achieved with three laboratory technicians less compared with the period when the postanalytical phase was not automated. Conclusions: Automation allowed optimized laboratory workflow for specific patient populations, thereby ensuring standardized results reporting. Autovalidation of test results proved to be an efficient tool for improvement of laboratory work efficacy and TAT.

Background: Transference of reference intervals (RIs) from multicentre studies are often verified by use of a small number of samples from reference individuals or by the use of one serum sample (Serum X for NORIP RI). Despite recommended and appropriate methods, both have inconveniencies and drawbacks. Several attempts have been made to develop an indirect method, which uses historical data from the laboratory. These methods are retrospective relying on older test results. A near prospective method would be preferable for the laboratories introducing new methods or changing analytical platforms. Methods: We performed a data mining experiment using results from our laboratory information system covering patients from a large geographic area. Request patterns for patients with assumed healthy characteristics were identified and used to extract laboratory results for calculation of new RI by an indirect method. Calculated RI and confidence intervals (CIs) were compared to transferred NORIP RI verified by NFKK Reference Serum X. Results: We found that our indirect method and NFKK Reference Serum X in general produced similar results when verifying transference of RI. The method produces results for all stratifications. Only single stratifications and one analyte showed unexplained incongruences to the NORIP RI. Conclusions: Our results suggest using request patterns as a surrogate measure for good health status. This allows for a data mining method for validation of RI or validating their transference, which is likely to be applicable in countries with similar healthcare and laboratory information system.

Background: Reference intervals are widely used as decision tools, providing the physician with information about whether the analyte values indicate ongoing disease process. Reference intervals are generally based on individuals without diagnosed diseases or use of medication, which often excludes elderly. The aim of the study was to assess levels of albumin, alanine aminotransferase (ALT), aspartate aminotransferase (AST), creatinine and γ-glutamyl transferase (γ-GT) in frail, moderately healthy and healthy elderly indivuduals. Methods: Blood samples were collected from individuals >80 years old, nursing home residents, in the Elderly in Linköping Screening Assessment and Nordic Reference Interval Project, a total of 569 individuals. They were divided into three cohorts: frail, moderately healthy and healthy, depending on cognitive and physical function. Albumin, ALT, AST, creatinine and γ-GT were analyzed using routine methods. Results: Linear regression predicted factors for 34% of the variance in albumin were activities of daily living (ADL), gender, stroke and cancer. ADLs, gender and weight explained 15% of changes in ALT. For AST levels, ADLs, cancer and analgesics explained 5% of changes. Kidney disease, gender, Mini Mental State Examination (MMSE) and chronic obstructive pulmonary disease explained 25% of the variation in creatinine levels and MMSE explained three per cent of γ-GT variation. Conclusions: Because a group of people are at the same age, they should not be assessed the same way. To interpret results of laboratory tests in elderly is a complex task, where reference intervals are one part, but far from the only one, to take into consideration.

Background: Distinctive exosomal contents could be useful for cancer diagnosis and prognosis. However, little is known about whether serum exosomal heterogeneous nuclear ribonucleoprotein H1 ( hnRNPH1 ) mRNA is a satisfactory biomarker for hepatocellular carcinoma (HCC). Methods: Two hundred and ninety-one participants divided into four age- and gender-matched groups, including a HCC group (n=88), a liver cirrhosis (LC) group (n=67), a chronic hepatitis B (CHB) group (n=68) and a healthy control group (n=68), were enrolled. Serum exosomal hnRNPH1 mRNA and GAPDH mRNA were measured using TaqMan real-time PCR, and the relative expression levels were calculated. Receiver operating characteristic (ROC) curves were constructed to evaluate the effectiveness of hnRNPH1 mRNA alone and in combination with α-fetoprotein (AFP) in the diagnosis of HCC. The correlation between hnRNPH1 mRNA levels and clinicopathological characteristics and overall survival (OS) in HCC was determined. Results: The serum exosomal hnRNPH1 mRNA levels in HCC patients were remarkably higher than in the other groups (p<0.05). The hnRNPH1 mRNA discriminated HCC from CHB with an area under the ROC curve (AUC) of 0.865, with sensitivity of 85.2% and specificity of 76.5% at cut-off value of 0.670. The AUC for hnRNPH1 mRNA in combination with AFP was further improved. The exosomal hnRNPH1 mRNA levels in HCC patients were associated with the Child-Pugh classification, portal vein tumor emboli, lymph node metastasis, TNM stage and OS (p<0.05). Conclusions: These findings suggested that serum exosomal hnRNPH1 mRNA could be an effective marker for HCC in high HBV prevalence areas.

Background: DNMT3A is a DNA methyltransferase that acts in de novo methylation. Aberrant expression of DNMT3A has been reported in several human diseases, including myelodysplastic syndrome (MDS). However, the pattern of DNMT3A methylation remains unknown in MDS. Methods: The present study was aimed to investigate the methylation status of DNMT3A intragenic differentially methylated region 2 (DMR2) using real-time quantitative methylation-specific PCR and analyze its clinical significance in MDS. Results: Aberrant hypomethylation of DNMT3A was found in 57% (51/90) MDS cases. There were no significant differences in age, sex, white blood cell counts, platelet counts, hemoglobin counts and World Health Organization, International Prognostic Scoring System and karyotype classifications between DNMT3A hypomethylated and DNMT3A hypermethylated groups. However, the patients with DNMT3A hypomethylation had shorter overall survival time than those without DNMT3A hypomethylation (11 months vs. 36 months, p=0.033). Multivariate analysis confirmed the independent adverse impact of DNMT3A hypomethylation in MDS. Conclusions: Our data suggest that DNMT3A DMR2 hypomethylation may be a negative prognostic hallmark in MDS.

Background: The study aim was to evaluate and compare the analytical performance of the new chemiluminescent immunoassay for cardiac troponin I (cTnI), called Access hs-TnI using DxI platform, with those of Access AccuTnI+3 method, and high-sensitivity (hs) cTnI method for ARCHITECT platform. Methods: The limits of blank (LoB), detection (LoD) and quantitation (LoQ) at 10% and 20% CV were evaluated according to international standardized protocols. For the evaluation of analytical performance and comparison of cTnI results, both heparinized plasma samples, collected from healthy subjects and patients with cardiac diseases, and quality control samples distributed in external quality assessment programs were used. Results: LoB, LoD and LoQ at 20% and 10% CV values of the Access hs-cTnI method were 0.6, 1.3, 2.1 and 5.3 ng/L, respectively. Access hs-cTnI method showed analytical performance significantly better than that of Access AccuTnI+3 method and similar results to those of hs ARCHITECT cTnI method. Moreover, the cTnI concentrations measured with Access hs-cTnI method showed close linear regressions with both Access AccuTnI+3 and ARCHITECT hs-cTnI methods, although there were systematic differences between these methods. There was no difference between cTnI values measured by Access hs-cTnI in heparinized plasma and serum samples, whereas there was a significant difference between cTnI values, respectively measured in EDTA and heparin plasma samples. Conclusions: Access hs-cTnI has analytical sensitivity parameters significantly improved compared to Access AccuTnI+3 method and is similar to those of the high-sensitivity method using ARCHITECT platform.

Background: The MADS-box transcription factor myocyte enhancer factor 2C (MEF2C) is required for the cardiac development and postnatal adaptation and in mice-targeted disruption of the MEF2C gene results in dilated cardiomyopathy (DCM). However, in humans, the association of MEF2C variation with DCM remains to be investigated. Methods: The coding regions and splicing boundaries of the MEF2C gene were sequenced in 172 unrelated patients with idiopathic DCM. The available close relatives of the index patient harboring an identified MEF2C mutation and 300 unrelated, ethnically matched healthy individuals used as controls were genotyped for MEF2C . The functional effect of the mutant MEF2C protein was characterized in contrast to its wild-type counterpart by using a dual-luciferase reporter assay system. Results: A novel heterozygous MEF2C mutation, p.Y157X, was detected in an index patient with adult-onset DCM. Genetic screen of the mutation carrier’s family members revealed that the mutation co-segregated with DCM, which was transmitted as an autosomal dominant trait with complete penetrance. The non-sense mutation was absent in 300 control individuals. Functional analyses unveiled that the mutant MEF2C protein had no transcriptional activity. Furthermore, the mutation abolished the synergistic transactivation between MEF2C and GATA4 as well as HAND1, two other transcription factors that have been associated with DCM. Conclusions: This study indicates MEF2C as a new gene responsible for human DCM, which provides novel insight into the mechanism underpinning DCM, suggesting potential implications for development of innovative prophylactic and therapeutic strategies for DCM, the most prevalent form of primary myocardial disease.