Eculizumab Treatment of Massive Hemolysis Occurring in a Rare Co-Existence of Paroxysmal Nocturnal Hemoglobinuria and Myasthenia Gravis.

The co-occurrence of myasthenia gravis (MG) and paroxysmal nocturnal hemoglobinuria (PNH) is rare; only one case has been published so far. We report a 63-year-old Caucasian female patient who was diagnosed with MG at the age of 43. Thymoma was also detected, and so it was surgically resected, which resulted in reasonable disease control for nearly 20 years. Slight hemolysis began to emerge, and then myasthenia symptoms progressed, so immunosuppressive therapy was started. Due to progressive disease and respiratory failure, the patient underwent plasmapheresis, and ventilatory support was stopped. Marked hemolysis was present, and diagnostic tests confirmed PNH with type III PNH cells. Her myasthenia symptoms aggravated, mechanical ventilation had to be started again, and due to the respiratory acidosis, massive hemolysis occurred. After two plasmapheresis sessions, the patient received eculizumab at 600 mg, resulting in prompt hemolysis control. After the second dose of the treatment, the patient was extubated. Still, due to their inability to cough, she developed another respiratory failure and pneumonia-sepsis, resulting in the patient's death. This case highlights the rare association between these two serious diseases and similar immune-mediated pathophysiology mechanisms involving the complement system.

Elevated level of serum human epididymis protein 4 (HE4) predicts disease severity and mortality in COVID-19 pneumonia.

BACKGROUND: We retrospectively analyzed serum level of human epididymis protein 4 (HE4) as a pulmonary inflammatory biomarker in patients with COVID-19 pneumonia in association with disease severity and outcome. METHODS: Ninety-nine (40 critically ill, 40 severe and 19 mild) COVID-19 patients and as controls 25 age- and sex-matched non-COVID-19 bacterial sepsis subjects were included. Serum HE4 was measured by an immunoassay (Architect® i1000SR, Abbott) in the baseline samples of all study participants obtained at intensive care unit (ICU) admission or during outpatient clinic visit and follow-up sera were available in case of 30 COVID-19 subjects with life-threating conditions. Associations were studied between serum HE4, routinely available laboratory parameters, clinical characteristics, and disease progression. RESULTS: Baseline HE4 level was significantly higher (P < 0.0001) in critically ill (524.7 [300.1-1153.0] pmol/L) than severe COVID-19 subjects (157.4 [85.2-336.9] pmol/L) and in mild SARS-CoV-2 infection (46.7 [39.1-57.2] pmol/L). Similarly increased HE4 concentrations were found in bacterial sepsis (1118.0 [418.3-1953.0] pmol/L, P = 0.056) compared to critically ill COVID-19 individuals. Serum HE4 levels significantly correlated with age, SOFA-score, inflammation-dependent biomarkers, and the degree of lung manifestation evaluated by chest CT examination in ICU COVID-19 individuals. Based on ROC-AUC curve analysis, baseline HE4 independently indicated the severity of COVID-19 with an AUC value of 0.816 (95% CI [0.723-0.908]; P < 0.0001), while binary logistic regression test found HE4 as an independent prognostic parameter for death (OR: 10.618 [2.331-48.354]; P = 0.002). Furthermore, COVID-19 non-survivors showed much higher baseline HE4 levels without a substantial change under treatment vs. survivors (P < 0.0001). Finally, pre-treatment HE4 level of ≥ 331.7 pmol/L effectively predicted a larger risk for mortality (Log-Rank P < 0.0001) due to severe COVID-19 pneumonia. CONCLUSION: Elevated serum HE4 level at ICU admission highly correlates with COVID-19 severity and predicts disease outcome.

Comparative Evaluation of Body Fluid Analysis by Sysmex XN Hematology Analyzers, CellaVision, Manual Microscopy and Multicolor Flow Cytometry.

OBJECTIVE: The aim of this study was to investigate the correlation between instrumental and morphological cell differential methods in body fluid (BF) samples. METHODS: Forty ascitic (AF) and forty cerebrospinal (CSF) fluid samples were measured with Sysmex XN1000 and XN2000 instruments in BF mode. Flow cytometry (FC) was carried out with FACS Canto II. From the centrifuged cytospin preparations mononuclear (MN%) and polymorphonuclear (PMN%) cell percentages were determined using optical microscopy (OM) and a digital cell morphology system CellaVision (CV). RESULTS: Both Passing-Bablok and Bland-Altman analysis showed strong correlation between the hematology analyzers for total cell count (TC), white blood cell count (WBC), MN%, and PMN% in BFs. With slightly inferior results, all other WBC differential methods showed acceptable correlation. Passing-Bablok regression analysis yielded a slope encompassing 1.0 in all method comparisons except for three scenarios in CSF. The bias calculated with Bland-Altman plots was comprised between -6.05% and 6.05%. Strong correlations were found when comparing XN1000, XN2000, and CV to OM and FC method with linear regression analysis (r values between 0.905 and 0.984). CONCLUSION: We found strong correlation between instrumental and manual morphological WBC differential methods when testing BF samples containing no tumor cells.

Circulating ACE2 activity predicts mortality and disease severity in hospitalized COVID-19 patients.

OBJECTIVES: Angiotensin-converting enzyme 2 (ACE2) represents the primary receptor for SARS-CoV-2 to enter endothelial cells. Here we investigated circulating ACE2 activity to predict the severity and mortality of COVID-19. METHODS: Serum ACE2 activity was measured in COVID-19 (110 critically ill and 66 severely ill subjects at hospital admission and 106 follow-up samples) and in 32 non-COVID-19 severe sepsis patients. Associations between ACE2, inflammation-dependent biomarkers, pre-existing comorbidities, and clinical outcomes were studied. RESULTS: Initial ACE2 activity was significantly higher in critically ill COVID-19 patients (54.4 [36.7-90.8] mU/L) than in severe COVID-19 (34.5 [25.2-48.7] mU/L; P<0.0001) and non-COVID-19 sepsis patients (40.9 [21.4-65.7] mU/L; P=0.0260) regardless of comorbidities. Circulating ACE2 activity correlated with inflammatory biomarkers and was further elevated during the hospital stay in critically ill patients. Based on ROC-curve analysis and logistic regression test, baseline ACE2 independently indicated the severity of COVID-19 with an AUC value of 0.701 (95% CI [0.621-0.781], P<0.0001). Furthermore, non-survivors showed higher serum ACE2 activity vs. survivors at hospital admission (P<0.0001). Finally, high ACE2 activity (≥45.4 mU/L) predicted a higher risk (65 vs. 37%) for 30-day mortality (Log-Rank P<0.0001). CONCLUSIONS: Serum ACE2 activity correlates with COVID-19 severity and predicts mortality.

T-cell Subset Profile in Kidney Recipients of Extended or Standard Donors.

INTRODUCTION: The usage of extended-criteria donors (ECD) became a routinely accepted manner in the last decade. ECD is a potential risk factor for antibody-mediated rejection. Analysis of lymphocyte subsets might be a complementary diagnostic toolkit because there is limited knowledge about this term. METHOD: Between May 12, 2016, and September 4, 2019, a total of 130 patients who had undergone kidney transplant were investigated. Patients were divided in ECD and standard criteria donor (SCD) groups. Blood samples were collected before the operation, then in the first week and after 30, 60, 180, and 365 days. Besides routine laboratory tests, multicolor flow cytometry was performed for lymphocyte subsets. RESULTS: ECD grafts were transplanted to older recipients. The number of CD4+ cells increased in the SCDs from the first week to until the end of first month, and then decreased. The number of CD4+ cells decreased from the beginning of the study until the end of first year to 66% of its original value in ECDs. At the first month, the number of CD19+ cells was higher in SCD compared with ECD cases; the number then decreased in both groups. T-regulatory cells had a drop at the first week that lasted until the first month. A bigger increase in SCD and a moderate increase in ECD group were then observed. The kinetics of CD19+ and CD19+ naive cells are similar in the ECD and SCD groups. In the SCD group, cell count decreased in both CD19+ (13%) and CD19+ naive (12%) between third and sixth month. The count of CD19+ cells decreased by 9%, but the count of CD19+ naive cells increased by 11% between the sixth month and first year. DISCUSSION: The prolonged postoperative uremic state caused by the poorer initial function, together with an aging immune system, explains the weaker immune response in ECD patients, which may be the cause of the decreased number of memory and regulatory T cells. Older patients with an ECD graft need a tailored, personalized, and less aggressive immunosuppressive treatment.

Evaluation of Sample Quality As Preanalytical Error in Flow Cytometry Analysis in Childhood Acute Lymphoblastic Leukemia.

INTRODUCTION: Acute lymphoblastic leukemia (ALL) is the most common cancer among children. The intensity of chemotherapy and further therapeutic decisions depend on several prognostic factors, including response to initial treatment by examining peripheral blood (PB), bone marrow (BM) and cerebrospinal fluid (CSF) samples at certain time points. (e.g. day 15 BM). Sample quality is crucial for the correct risk assessment. PATIENTS AND METHODS: We aimed to explore the rate of inadequate samples as a source of preanalytical error. We retrospectively analyzed flow cytometry results of BM (day 15 and day 33) and CSF samples from children with ALL in different cohorts focusing on PB contamination and viable cell ratio among nucleated cells. We also compared viable cell percentages in native and stabilized CSF samples. RESULTS: Due to PB contamination (erythroid precursors < 2%) 12.5% of day 15 and 14% of day 33 BM samples were inadequate for flow cytometry risk stratification. Significantly fewer CSF samples had to be considered inadequate for analysis (defined as viable cells < 30%) in the subgroup of stabilized samples compared to native samples. Four of the CSF samples from children with ALL had identifiable malignant cell population despite the low viable cell percentage. DISCUSSION: Poor sample quality can hamper risk stratification and further therapeutic decision in childhood ALL. Despite low viable cell count malignant cell populations may still be identified in a CSF sample, therefore establishing a certain cutoff point for viable cells is difficult.

Analytical parameters and validation of homopolymer detection in a pyrosequencing-based next generation sequencing system.

BACKGROUND: Current technologies in next-generation sequencing are offering high throughput reads at low costs, but still suffer from various sequencing errors. Although pyro- and ion semiconductor sequencing both have the advantage of delivering long and high quality reads, problems might occur when sequencing homopolymer-containing regions, since the repeating identical bases are going to incorporate during the same synthesis cycle, which leads to uncertainty in base calling. The aim of this study was to evaluate the analytical performance of a pyrosequencing-based next-generation sequencing system in detecting homopolymer sequences using homopolymer-preintegrated plasmid constructs and human DNA samples originating from patients with cystic fibrosis. RESULTS: In the plasmid system average correct genotyping was 95.8% in 4-mers, 87.4% in 5-mers and 72.1% in 6-mers. Despite the experienced low genotyping accuracy in 5- and 6-mers, it was possible to generate amplicons with more than a 90% adequate detection rate in every homopolymer tract. When homopolymers in the CFTR gene were sequenced average accuracy was 89.3%, but varied in a wide range (52.2 - 99.1%). In all but one case, an optimal amplicon-sequencing primer combination could be identified. In that single case (7A tract in exon 14 (c.2046_2052)), none of the tested primer sets produced the required analytical performance. CONCLUSIONS: Our results show that pyrosequencing is the most reliable in case of 4-mers and as homopolymer length gradually increases, accuracy deteriorates. With careful primer selection, the NGS system was able to correctly genotype all but one of the homopolymers in the CFTR gene. In conclusion, we configured a plasmid test system that can be used to assess genotyping accuracy of NGS devices and developed an accurate NGS assay for the molecular diagnosis of CF using self-designed primers for amplification and sequencing.

Comparative Analysis of Multicolor Flow Cytometry and Immunohistochemistry for the Detection of Disseminated Tumor Cells.

Disseminating cells of a primary solid tumor may represent the origin of metastases and relapses. We aimed at comparing the diagnostic efficacy of multicolor flow cytometry (MFC) and morphology/immunohistochemistry (IHC) in the detection of disseminated tumor cells in the bone marrow (BM) and body fluids of patients with solid tumors, and in pediatric neuroblastoma cases. We investigated 72 samples retrospecively from 50 patients by MFC. Morphology/IHC data were available in 48 cases. In the first cohort, 36 samples derived from 34 patients with various forms of suspected and proven solid tumors and in the second cohort, 36 samples of 16 children with suspected and proven neuroblastoma were analyzed at diagnosis or during follow-up in a 4-color setting by MFC, and the results were compared with those obtained by IHC. In the group of various solid tumors, we found 91% concordance between IHC and MFC, and it was 65% in the neuroblastoma group, and 77% overall. Detection of disseminated tumor cells was found to be more effective by MFC in de novo neuroblastoma samples (100% vs. 86%). The advantage of MFC was even more pronounced when minimal residual disease was evaluated (efficacy, 92% vs. 68%). In contrast, efficacy of IHC was 100% in the group of various solid tumors, whereas it was 91% for MFC. We conclude that MFC and IHC are both essential tools for examining infiltration of BM and body fluids by disseminating solid tumor cells. In the case of neuroblastoma, however, minimal residual disease detection by MFC in a hypoplastic/aplastic BM environment was more effective than IHC, as considerably more cells could be analyzed.

Molecular Analysis of Cystic Fibrosis Patients in Hungary - An Update to the Mutational Spectrum.

BACKGROUND: In this study the authors present an update to the CFTR mutation profile in Hungary, utilizing data from a selected cohort of 45 cystic fibrosis (CF) patients from different regions of the country. METHODS: Depending on the preceding analysis, four different mutation detection methods were used. A commercial assay targeting the most common CF-causing mutations was performed as the first test followed by an allele specific PCR for CFTRdele2,3(21kb), Sanger sequencing and MLPA analysis of the coding region of the CFTR gene. RESULTS: In our recent study 27 different mutations were detected, including 2 novel ones (c.1037_1038insA and c.1394C>T). Besides F508del (c.1521_1523delCTT), the following mutations were found at a frequency of ≥ 4.0%: W1282X (c.3846G>A), N1303K (c.3909C>G), CFTRdele2,3(21kb) (c.54-5940_273+10250del21kb) and 2184insA (c.2052_2053insA). In addition, four mutations (G542X, Y1092X, 621+1G>T, and 2143delT) were found in more than one allele. CONCLUSIONS: The updated database of Hungarian mutations not only enables to increase the efficiency of the existing diagnostic approach, but also provides a further refined basis for the introduction of the molecular newborn screening (NBS) program in Hungary.

Monitoring of mycophenolic acid and kidney function during combined immunosuppressive therapy.

BACKGROUND: Mycophenolic acid (MPA), a selective inhibitor of lymphocyte proliferation, has lately been used to improve renal function and prolong graft survival in renal transplanted patients. Still, there is no consensus considering the recommended dosing and the therapeutic range of MPA. METHODS: To estimate the safe therapeutic range of MPA, its plasma level and indicators of kidney function were measured in 216 patients (138 male, 78 female, age 46 ± 12 years) 67 ± 46 months after transplantation. Besides MPA, patients received cyclosporine (Group A, n=122) or tacrolimus (Group B, n=77). Seventeen patients (Group C) were treated with MPA in combination with everolimus or sirolimus. Plasma MPA was measured by enzyme inhibition assay. RESULTS: In the whole study group MPA level increased with the dose of MPA (p=0.013). MPA level was below the therapeutic range in 40% (Group A) and 45% (Group B) of patients, respectively. MPA was 1.9 ± 1.56 mg/L in Group A, 2.4 ± 1.69 mg/L in Group B. In Group A MPA level increased and cyclosporine decreased with the progress of renal disease. CONCLUSIONS: Increasing MPA/cyclosporine ratio at more severe stages of chronic kidney disease was tolerable for the patients and rejection could be avoided. Tubular damage detected by urinary N-acetyl-ß-D-glucosaminidase did not correlate with the MPA level.

Distribution of CFTR mutations in Eastern Hungarians: relevance to genetic testing and to the introduction of newborn screening for cystic fibrosis.

BACKGROUND: The aim of this study was characterization of an updated distribution of CFTR mutations in a representative cohort of 40 CF patients with the classical form of the disease drawn from Eastern Hungary. Due to the homogeneity of the Hungarian population our data are generally applicable to other regions of the country, including the sizeable diaspora. METHODS: We utilized the recommended "cascade" CFTR mutation screening approach, initially using a commercial assay, followed by examination of the common "Slavic" deletion CFTRdele2,3(21kb). Subsequently, the entire CFTR coding region of the CFTR gene was sequenced in patients with yet unidentified mutations. RESULTS: The Elucigene CF29(Tm) v2 assay detected 81.25% of all CF causing mutations. An addition of the CFTRdele2,3(21kb) increased the mutation detection rate to 86.25%. DNA sequencing enabled us to identify mutations on 79/80 CF alleles. Mutations [CFTRdele2,3(21kb), p.Gln685ThrfsX4 (2184insA) were found at an unusually high frequency, each comprising 5.00% of all CF alleles. CONCLUSION: We have identified common CF causing mutations in the Hungarian population with the most common mutations (p.Phe508del, p.Asn1303Lys, CFTRdele2,3(21kb), 2184insA, p.Gly542X, and p.Leu101X), comprising over 93.75% of all CF alleles. Obtained data are applicable to the improvement of DNA diagnostics in Hungary and beyond, and are the necessary prerequisite for the introduction of a nationwide "two tier" CF newborn screening program.

["Turnaround time": a new parameter for the characterization of the overall efficacy of laboratory diagnostic processes]. / "Turnaround time": a laboratóriumi eredménykiadás hatékonyságának új paramétere.

INTRODUCTION: The authors developed a special computer-aided routine in their laboratory for the calculation of "turnaround time" which parameter is suitable for the characterization of the overall efficacy of laboratory diagnostic processes. The turnaround time is defined as the interval between the arrival time of a sample in the laboratory and the time of clinical validation. It characterizes the efficacy of the result generation process very well, and therefore, is considered as an important parameter of laboratory quality control. METHODS: In their present study the authors analyzed the data of the urgent (stat), routine and special laboratory tests of 6 months and presented the median, 5- and 95-percentile values of turnaround time. Beside this, they calculated the rate of "outliers": the number of tests having a longer turnaround time value, than the defined maximal turnaround time (stat 1 hour, routine 4 hours, special 2-14 days). RESULTS: The median turnaround time values were 9-70 minutes for the stat tests and 33-190 minutes for the routine analytes. In case of special tests, the results were much more heterogeneous, in general non-automated hemostasis and immunochemistry assays, with low sample numbers had longer turnaround time values and higher number of outliers. Longitudinal analysis of routine tests showed clearly that turnaround time values became shorter in every unit during the 1st 6 months of 2006. Clinical validation is an important component altering turnaround time that can be shortened substantially with the installation of an autovalidation program. Based on the data of the authors the median turnaround time values of routine assays were shortened by 1-2 hours after introduction of autovalidation. The applied program for turnaround time analysis is suitable for evaluation of sample transfer times, too, that was presented by comparison of two "emergency units" having different sample transfer facilities. CONCLUSIONS: The described turnaround time analysis is part of the general routine processes in laboratories of the developed countries but is the first such trial in Hungary.