mCRP-Induced Focal Adhesion Kinase-Dependent Monocyte Aggregation and M1 Polarization, Which Was Partially Blocked by the C10M Inhibitor.

Monomeric C-reactive protein (mCRP) has recently been implicated in the abnormal vascular activation associated with development of atherosclerosis, but it may act more specifically through mechanisms perpetuating damaged vessel inflammation and subsequent aggregation and internalization of resident macrophages. Whilst the direct effects of mCRP on endothelial cells have been characterized, the interaction with blood monocytes has, to our knowledge, not been fully defined. Here we showed that mCRP caused a strong aggregation of both U937 cell line and primary peripheral blood monocytes (PBMs) obtained from healthy donors. Moreover, this increase in clustering was dependent on focal adhesion kinase (FAK) activation (blocked by a specific inhibitor), as was the concomitant adhesive attachment to the plate, which was suggestive of macrophage differentiation. Confocal microscopy confirmed the increased expression and nuclear localization of p-FAK, and cell surface marker expression associated with M1 macrophage polarization (CD11b, CD14, and CD80, as well as iNOS) in the presence of mCRP. Inclusion of a specific CRP dissociation/mCRP inhibitor (C10M) effectively inhibited PBMs clustering, as well as abrogating p-FAK expression, and partially reduced the expression of markers associated with M1 macrophage differentiation. mCRP also increased the secretion of pro-inflammatory cytokines Interleukin-8 (IL-8) and Interleukin-1ß (IL-1ß), without notably affecting MAP kinase signaling pathways; inclusion of C10M did not perturb or modify these effects. In conclusion, mCRP modulates PBMs through a mechanism that involves FAK and results in cell clustering and adhesion concomitant with changes consistent with M1 phenotypical polarization. C10M has potential therapeutic utility in blocking the primary interaction of mCRP with the cells-for example, by protecting against monocyte accumulation and residence at damaged vessels that may be predisposed to plaque development and atherosclerosis.

The Influence of HLA Polymorphisms on the Severity of COVID-19 in the Romanian Population.

In this study, we aimed to investigate whether specific HLA alleles found in patients from Romania and the Republic of Moldova were associated with the severity of COVID-19 infection and its associated mortality. We analyzed the HLA alleles at the -A, -B, -C, -DRB1, and -DQB1 loci in a cohort of 130 individuals with severe and extremely severe forms of COVID-19, including 44 individuals who died. We compared these findings to a control group consisting of individuals who had either not been diagnosed with COVID-19 or had experienced mild forms of the disease. Using multivariate logistic regression models, we discovered that the B*27 and B*50 alleles were associated with an increased susceptibility to developing a severe form of COVID-19. The A*33 and C*15 alleles showed potential for offering protection against the disease. Furthermore, we identified two protective alleles (A*03 and DQB1*02) against the development of extremely severe forms of COVID-19. By utilizing score statistics, we established a statistically significant association between haplotypes and disease severity (p = 0.021). In summary, this study provides evidence that HLA genotype plays a role in influencing the clinical outcome of COVID-19 infection.

Method comparison between Alinity hq and Sysmex XT-4000i in an emergency laboratory.

Due to technological advancements, haematology analysers are becoming increasingly more complex. Before introducing new analyzers, laboratories must compare the agreement between the new and the old instruments. This study aimed to quantify the method agreement between Sysmex XT-4000i and Alinity hq analysers in order to establish whether they can be used interchangeably. A total of 415 complete blood counts (CBC) from adult patients of the Emergency Clinical County Hospital of Târgu Mureș, Romania, were analysed within 4 h from the collection on Sysmex XT-4000i (considered the reference method), then on Alinity hq. Statistical analysis consisted of outlier removal, Spearman Correlation, Bland-Altman test, and Passing-Bablok regression. For each CBC parameter, the analytical difference between methods was compared with the Reference Change Value (RCV) at medical decision levels (MDL). Despite using different technologies, the instruments have a good agreement regarding cell differentiation and counting. Cell counting and haemoglobin measurement showed a good agreement at all (Medical Decision Limits) MDLs. The analytical difference between methods surpassed the (Reference Change Value) RCV with 1.2% at the 14% MDL of HCT and with 0.2% at the 100 fL MDL of MCV. This study can not tell whether Sysmex or Alinity is superior, only if the two methods agree. The poorer agreement observed for RBC indices, especially MCHC, suggests an accumulation of differences caused by the different working principles of the two methods. However, it is reasonable to assume that such small differences will not affect clinical decision-making and patient outcome.

A Practical Approach to Using Quality Indicators in Continuous Quality Improvement Processes in a Medical Laboratory.

BACKGROUND: The obligation of implementing the terms "risk management" and "quality indicators" led us to understand and apply them in the best possible way. The purpose of our study was to establish a guide of selection and usage of quality indicators (QIs)/key performance indicators (KPIs) in a Romanian medical laboratory. METHODS: The study group consisted of all analysis requests received by the Biochemistry Department of the laboratory between January 1st, 2015, and December 31st, 2018. The first stage of the study took place between January 1st, 2015, and December 31st, 2015, when the QIs/KPIs were selected for the pre-analytical process by risk management techniques and evaluation guide for the QIs/KPIs was developed. After their establishment, we checked, using data of the pre-analytical QIs of a previous stage, if the claims and the initially established limits were specific, objective, and attainable. In the second stage of the study the data were collected prospectively. Monthly values, percentages, and sigma values of selected QIs/KPIs were calculated. QI percentages were compared to the IFCC performance specifications and the limits established by the laboratory. RESULTS: The frequency of total defects of samples was 3.45%, the Six Sigma value was 3.4 for the Biochemistry Department. The highest rates were observed for the lipemic (1.92%) and hemolyzed samples (1.06%) in the Biochemistry Department. CONCLUSIONS: Implementing risk management and QIs can increase the pre-analytic process performance by decreasing the risk level either through stepping up the measures of detection, or through reducing of the frequency of occurrence of nonconformities.

Dynamic Evaluation of Natural Killer Cells Subpopulations in COVID-19 Patients.

The aim of the study was to evaluate the dynamic changes of the total Natural Killer (NK) cells and different NK subpopulations according to their differentiated expression of CD16/CD56 in COVID-19 patients. Blood samples with EDTA were analyzed on day 1 (admission moment), day 5, and day 10 for the NK subtypes. At least 30,000 singlets were collected for each sample and white blood cells were gated in CD45/SSC and CD16/CD56 dot plots of fresh human blood. From the lymphocyte singlets, the NK cells subpopulations were analyzed based on the differentiated expression of surface markers and classified as follows: CD16-CD56+/++/CD16+CD56++/CD16+CD56+/CD16++CD56-. By examining the CD56 versus CD16 flow cytometry dot plots, we found four distinct NK sub-populations. These NK subtypes correspond to different NK phenotypes from secretory to cytolytic ones. There was no difference between total NK percentage of different disease forms. However, the total numbers decreased significantly both in survivors and non-survivors. Additionally, for the CD16-CD56+/++ phenotype, we observed different patterns, gradually decreasing in survivors and gradually increasing in those with fatal outcomes. Despite no difference in the proportion of the CD16-CD56++ NK cells in survivors vs. non-survivors, the main cytokine producers gradually decline during the study period in the survival group, underling the importance of adequate IFN production during the early stage of SARS-CoV-2 infection. Persistency in the circulation of CD56++ NK cells may have prognostic value in patients, with a fatal outcome. Total NK cells and the CD16+CD56+ NK subtypes exhibit significant decreasing trends across the moments for both survivors and non-survivors.

Inflammatory Biomarkers Associated with In-Hospital Mortality in Critical COVID-19 Patients.

The COVID-19 pandemic poses global healthcare challenges due to its unpredictable clinical course. The aim of this study is to identify inflammatory biomarkers and other routine laboratory parameters associated with in-hospital mortality in critical COVID-19 patients. We performed a retrospective observational study on 117 critical COVID-19 patients. Following descriptive statistical analysis of the survivor and non-survivor groups, optimal cut-off levels for the statistically significant parameters were determined using the ROC method, and the corresponding Kaplan-Meier survival curves were calculated. The inflammatory parameters that present statistically significant differences between survivors and non-survivors are IL-6 (p = 0.0004, cut-off = 27.68 pg/mL), CRP (p = 0.027, cut-off = 68.15 mg/L) and IL-6/Ly ratio (p = 0.0003, cut-off = 50.39). Additionally, other statistically significant markers are creatinine (p = 0.031, cut-off = 0.83 mg/dL), urea (p = 0.0002, cut-off = 55.85 mg/dL), AST (p = 0.0209, cut-off = 44.15 U/L), INR (p = 0.0055, cut-off = 1.075), WBC (p = 0.0223, cut-off = 11.68 × 109/L) and pH (p = 0.0055, cut-off = 7.455). A survival analysis demonstrated significantly higher in-hospital mortality rates of patients with values of IL-6, IL-6/Ly, AST, INR, and pH exceeding previously mentioned thresholds. In our study, IL-6 and IL-6/Ly have a predictive value for the mortality of critically-ill patients diagnosed with COVID-19. The integration of these parameters with AST, INR and pH could contribute to a prognostic score for the risk stratification of critical patients, reducing healthcare costs and facilitating clinical decision-making.

Evaluation of TNF-α genetic polymorphisms as predictors for sepsis susceptibility and progression.

BACKGROUND: The goal of the study was to evaluate a potential role for tumor necrosis factor alpha (TNF-α) genetic variability as biomarker in sepsis. In particular, we aimed to determine if single nucleotide polymorphisms (SNPs) of TNF-α gene are associated with sepsis in terms of risk, severity and outcome. METHODS: We performed a prospective study on 163 adult critically ill septic patients (septic shock 65, sepsis 98, further divided in 40 survivors and 123 deceased) and 232 healthy controls. Genotyping of TNF-α SNPs (-308G/A, -238G/A, -376G/A and +489G/A) was performed for all patients and controls and plasma cytokine levels were measured during the first 24 h after sepsis onset. RESULTS: TNF-α +489G/A A-allele carriage was associated with significantly lower risk of developing sepsis and sepsis shock (AA+AG vs GG: OR = 0.53; p = 0.004; 95% CI = 0.34-0.82 and OR = 0.39; p = 0.003; 95% CI = 0.21-0.74, respectively) but not with sepsis-related outcomes. There was no significant association between any of the other TNF-α promoter SNPs, or their haplotype frequencies and sepsis or septic shock risk. Circulating TNF-α levels were higher in septic shock; they were not correlated with SNP genotype distribution; GG homozygosity for each polymorphism was correlated with higher TNF-α levels in septic shock. CONCLUSIONS: TNF-α +489G/A SNP A-allele carriage may confer protection against sepsis and septic shock development but apparently does not influence sepsis-related mortality. Promoter TNF-α SNPs did not affect transcription and were not associated with distinct sepsis, septic shock risk or outcomes.

Predicting functional outcome of ischemic stroke patients in Romania based on plasma CRP, sTNFR-1, D-Dimers, NGAL and NSE measured using a biochip array.

In cerebral ischemia, evaluation of multiple biomarkers involved in various pathological pathways is a useful tool in assessing the outcome of the patients even from the early stages of the disease. In this study we investigated the utility of a panel of 5 peripheral biomarkers of inflammatory status, neuronal destruction and secondary fibrinolysis in the acute phase of ischemia, and evaluated the impact of these biomarkers on functional outcome after ischemic stroke. The 5 biomarkers (plasma CRP, D-Dimers, sTNFR-1, NGAL and NSE) were measured using a biochip array technology. Eighty nine patients in Romania were divided into 2 subgroups using the modified Rankin Scale evaluated at 3 months after ischemic stroke; the possible impact of analyzed biomarkers on unfavorable functional outcome was tested by binomial logistic regression. The subgroup with unfavorable outcome had higher concentrations of CRP, NGAL, sTNFR-1 and D-dimers, but CRP and NGAL values were not statistically different between the two subgroups. The univariate logistic regression analysis of plasma biomarkers revealed that CRP, D-Dimers, NGAL, sTNFR-1 were significant predictors of unfavorable clinical outcome. In the case of D-Dimers and sTNFR-1 we noticed an increased discrimination ability (versus baseline clinical model) to classify poor functional outcome with a tendency toward statistical signification. During the acute phase of the ischemic stroke, plasma concentrations of CRP, D-Dimers and sTNFR-1 were elevated in unfavorable outcome patients. D-Dimers and sTNFR-1 were independent predictors of poor outcome at 3 months after ischemic stroke. The biochip array technology offers the possibility to simultaneously measure several parameters involved in multiple pathophysiological pathways, in a small sample volume.

Invasive Fungal Infection in Romania: Changing Incidence and Epidemiology During Six Years of Surveillance in a Tertiary Hospital.

The present study aimed to evaluate the incidence of candidemia, the trend of species distribution and the antifungal susceptibility patterns of all invasive strains of Candida spp. isolated over a 6-year period in an Eastern European University hospital. A total number of 156 isolates were reidentified by MALDI-TOF and tested for susceptibility by SensititreTM YeastOne™. Isolates were assigned as non-susceptible or belonging to the wild type according to the new CLSI (2017, 2018) break points and epidemiological cut-off values. C. parapsilosis (37.82%) was the most frequently isolated yeast, followed by C. albicans (26.28%). The general tendency of the species distribution during the surveyed period shifted towards an increase in C. parapsilosis and C. lusitaniae isolates. Fluconazole resistance was present in 23.52% of C. glabrata, 5.08% of C. parapsilosis and in none of the C. albicans, C. tropicalis and C. lusitaniae isolates. Echinocandin resistance was present only in 1(5.88%) C. glabrata isolate. The study emphasises the importance of monitoring local epidemiologic data and antifungal susceptibility trends due to the diversity of affected patient groups in our hospital.

Influence of XPC, XPD, XPF, and XPG gene polymorphisms on the risk and the outcome of acute myeloid leukemia in a Romanian population.

XPC, XPD, XPF, and XPG genes are implicated in the nucleotide excision repair (NER) system. Gene polymorphisms in NER repair system may influence the individual's capacity to recognize and repair DNA lesions, thus increasing the cancer risk. We hypothesized that these gene polymorphisms might influence the probability of developing acute myeloid leukemia (AML). We investigated the XPC, XPD, XPF, and XPG gene polymorphisms in 108 AML cases and 163 healthy controls. Also cytogenetic analyses besides FLT3 and DNMT3A mutations status were investigated. We found that variant genotypes (heterozygous and homozygous) of XPD 2251A > C and 22541A > C and the heterozygous genotype of XPG 3507G > C were associated with the risk of developing AML (OR = 2.55; 95% CI = 1.53-4.25; p value <0.001; OR = 1.66, 95 % CI = 1.02-2.72; p value = 0.047, and OR = 2.36; 95 % CI = 1.32-4.21; p value = 0.004, respectively). No association was found between white blood cell counts, FLT3, DNMT3A mutations, cytogenetic risk group, and variant genotypes of none of the analyzed polymorphisms. Variant homozygous XPF 673C > T genotype was associated with higher dose of cytosine arabinoside treatment administrated to AML patients (p value = 0.04). No differences were found regarding survival time and variant genotype in the investigated gene polymorphisms with the exception of XPD 2251A > C. In conclusion, XPD 22541A > C, XPD 2251A > C, and XPG 3507G > C gene polymorphisms confer susceptibility to AML, while XPC 2920A > C, XPF-673C > T, XPF 11985A > G are not associated with AML.

Pre-Analytical Components of Risk in Four Branches of Clinical Laboratory in Romania--Prospective Study.

BACKGROUND: Development of quality measurement principles is a strategic point for each clinical laboratory. Preexamination process is the most critical and the most difficult to be managed. The aim of this study is to identify, quantify, and monitor the nonconformities of the pre-analytical process using quality indicators that can affect the patient's health safety in four different locations of a Romanian private clinical laboratory. METHODS: The study group consisted of all the analysis requests received by the departments of biochemistry, hematology, and coagulation from January through March 2015. In order to collect the pre-analytical nonconformities, we created a "Risk Budget", using the entries from the "Evidence notebook--non-conform samples" from the above mentioned departments. The laboratory established the quality indicators by means of the risk management technique in order to identify and control the sources of errors, FMEA (Failure Modes and Effects Analyses), which had been implemented and monitored for its purposes and special needs. For the assessment of the control level over the processes, the results were transformed on the Six Sigma scale, using the Westgard calculation method and being obtained in this way the frequency with which an error may occur. (https://www.westgard. com/six-sigma-calculators.htm). RESULTS: The obtained results prove that the quantification and monitoring of the indicators can be a control instrument for the pre-analytic activities. The calculation of the Six Sigma value adds extra information to the study because it allows the detection of the processes which need improvement (Sigma value higher than 4 represents a well controlled process). The highest rates were observed for the hemolyzed and the lipemic samples, in the department of biochemistry and hemolyzed, insufficient sample volume, or clotted samples for the department of hematology and coagulation. Significant statistical differences between laboratories participating in the study have been recorded for these indicators. CONCLUSIONS: The elaborated study between the four branches of a Romanian private clinical laboratory was a challenge, and it helped in choosing strategic decisions regarding the improvement of the patient's health safety in the institution, corresponding to the accreditation requirements in accordance with ISO 15189:2013.

Placental Growth Factor, Soluble fms-Like Tyrosine Kinase 1, Soluble Endoglin, IL-6, and IL-16 as Biomarkers in Preeclampsia.

Preeclampsia (PE), an important cause of maternal and perinatal morbidity and mortality worldwide, is a pregnancy-related disease characterized by hypertension and proteinuria after 20 weeks of gestation. The aim of our study was to find a practical panel of biomarkers useful in early diagnosis of PE. This study was carried out at the Obstetrics and Gynecology Department in Tîrgu Mureș University Hospital, Romania, between January 2014 and July 2015 and included 68 pregnant women (47 preeclamptic women and 21 controls) with gestational age between 16 and 20 weeks at enrollment. The biomarkers PlGF, sFlt-1, sEng, IL-6, and IL-16 were determined by ELISA test. We compared the serum levels of soluble markers analysed in preeclamptic women and controls during the second and third trimesters of pregnancy and we found that the best predictor for PE was PlGF with a sensitivity of 100% at a concentration threshold of 120.16 pg/mL, a diagnosis accuracy of 70.8%, and AUC of 0.684 (p = 0.005). We also estimated the risk for PE according to BMI and we found that pregnant women with weight >90 kg had 7 times higher risk for PE. Second-trimester PlGF serum level may serve as an early biomarker for the diagnosis of PE.

Human Papillomavirus Vaccine - Knowledge and Attitudes among Parents of Children Aged 10-14 Years: a Cross-sectional Study, Tîrgu Mures, Romania.

AIM: Romania ranks first in Europe in terms of mortality from cervical cancer, recording 6.3 times more deaths than the mean in EU countries. Although vaccination campaigns were launched by health officials in Romania, the acceptance rate remained insignificant and programmes were discontinued. A successful vaccination programme requires a high rate of acceptance and accurate information for health professionals and parents. The aim of the study was to evaluate the level of parental knowledge about human papilomavirus (HPV) infection and HPV vaccination including the information obtained from general practitioners and identification of barriers in implementing a vaccination strategy. METHODS: We performed a cross-sectional study using a self-administered questionnaire for the parents of pupils in grades 5-8, in three randomly selected secondary schools in Tîrgu Mures, Romania. RESULTS: We surveyed 918 parents. Of the respondents, 85.8% have heard of HPV infection. Most reported an average level of knowledge about HPV infection and HPV vaccination. The two main sources of information were specialized healthcare professionals (42.8% for HPV infection, 39.1% for HPV vaccination) and the Internet browsing (42.3% and 42.9%, respectively). Based on current knowledge, only one third of parents would have their child vaccinated against HPV infection. According to most parents surveyed, the main reasons for not wanting to have their child vaccinated is the fear of side effects; the vaccine is new and insufficiently studied; or parents do not know details about the vaccine. CONCLUSIONS: The parents showed the average level of knowledge about HPV infection and HPV vaccination. The implementation of an effective programme to increase the acceptance rate of HPV vaccination requires educational strategies aimed at involving parents and their children and supported by general practitioners and public health professionals.

The methylenetetrahydrofolate reductase (MTHFR) 677 C>T polymorphism increases the risk of developing chronic myeloid leukemia-a case-control study.

The methylenetetrahydrofolate reductase (MTHFR) 677 C>T and 1298 A>C polymorphisms are associated with variations in folate levels, a phenomenon linked to the development of various malignancies. The aim of this study was to investigate the influence of the 677 C>T and 1298 A>C polymorphisms in the MTHFR gene on the risk of developing chronic myeloid leukemia (CML). Our study included 151 patients with CML and 305 controls. The MTHFR 677 C>T and 1298 A>C polymorphisms were investigated by polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP) and allele-specific PCR techniques. The CT and TT genotypes of the MTHFR 677 C>T polymorphism were associated with an increased risk of developing CML (odds ratio (OR) = 1.556, 95% confidence interval (CI) = 1.017-2.381, p value = 0.041, and OR = 1.897, 95% CI = 1.046-3.44, p value = 0.035, respectively). No association was observed between the prognostic factors (blasts, basophils, additional chromosomal abnormalities, EUTOS score, Sokal and Hasford risk groups) and the MTHFR 677 C>T and 1298 A>C variant genotypes in CML patients. Our study shows that the MTHFR 677 C>T polymorphism is significantly associated with the risk of CML in Romanian patients.

Genotoxic and Cytotoxic Activity of Fisetin on Glioblastoma Cells.

BACKGROUND/AIM: Fisetin is a yellow-coloring flavonoid that can be found in a wide variety of plants, vegetables, and fruits, such as strawberries, apples, and grapes. It has been shown to have biological activity by targeting different pathways regulating survival and death and to bear antioxidant and anti-inflammatory activity. Fisetin was shown to be cytotoxic on different cancer cell lines and has the ability to kill therapy-induced senescent cancer cells. The aim of the study was to investigate the DNA damaging and cytotoxic potential of fisetin and its ability to enhance the killing effect of temozolomide on glioblastoma cells. MATERIALS AND METHODS: We used LN229 glioblastoma cells and measured survival and apoptosis by flow cytometry, DNA strand breaks by the alkaline comet and γH2AX assay, and the DNA damage response by western blot analysis. RESULTS: Fisetin was cytotoxic on glioblastoma cells, inducing apoptosis. In the dose range of 40-80 µM it also induced DNA damage, as measured by the alkaline comet and γH2AX assay, and triggered DNA damage response, as revealed by p53 activation. Furthermore, fisetin enhanced the genotoxic effect of methyl methanesulfonate, presumably due to inhibition of DNA repair processes. When administered together with temozolomide, the first-line therapeutic for glioblastoma, it enhanced cell death, reduced the yield of senescent cells following treatment and exhibited senolytic activity on glioblastoma cells. CONCLUSION: Data show that high-dose fisetin has a genotoxic potential and suggest that, harnessing the cytotoxic and senolytic activity of the flavonoid, it may enhance the effect of anticancer drugs and eliminate therapy-induced senescent cells. Therefore, it may be useful for adjuvant cancer therapy, including glioblastoma, which is worth to be studied in clinical trials.

A Mathematical Algorithm for Dried Blood Spot Quality Assessment and Results concerning Quality from a Newborn Screening Program.

BACKGROUND: In addition to newborn screening, dried blood spots (DBSs) are used for a wide variety of analytes for clinical, epidemiological, and research purposes. Guidelines on DBS collection, storage, and transport are available, but it is suggested that each laboratory should establish its own acceptance criteria. METHODS: An optical scanning device was developed to assess the quality of DBSs received in the newborn screening laboratory from 11 maternity wards between 2013 and 2018. The algorithm was adjusted to agree with the visual examination consensus of experienced laboratory personnel. Once validated, the algorithm was used to categorize DBS specimens as either proper or improper. Improper DBS specimens were further divided based on 4 types of specimen defects. RESULTS: In total, 27 301 DBSs were analyzed. Compared with an annual DBS rejection rate of about 1%, automated scanning rejected 26.96% of the specimens as having at least one defect. The most common specimen defect was multi-spotting (ragged DBS, 19.13%). Among maternity wards, improper specimen rates varied greatly between 5.70% and 49.92%. CONCLUSIONS: Improper specimen rates, as well as the dominant type of defect(s), are mainly institution-dependent, with various maternity wards consistently showing specific patterns of both parameters over time. Although validated in agreement with experienced laboratory personnel consensus, automated analysis rejects significantly more specimens. While continuous staff training, specimen quality monitoring, and problem-reporting to maternities is recommended, a thorough quality assessment strategy should also be implemented by every newborn screening laboratory. An important role in this regard may be played by automation in the form of optical scanning devices.

Relationship of serum insulin-like growth factor I (IGF-I) with nutritional status in pediatric patients with malignant diseases--a single Romanian center experience.

UNLABELLED: The aim of this study was to analyze insulin-like growth factor I (IGF-I) serum level in pediatric patients with cancer compared with pediatric patients with nononcological diseases and to assess the relationship between IGF-I and nutritional status of oncological patients. From January 2009 to July 2012, we assessed 151 consecutively hospitalized patients in a tertiary emergency pediatric hospital. The patients were divided into two groups: group I, consisting of patients with malignant diseases (64 patients), and group II, the control group, consisting of 87 age- and gender-matched patients with different pediatric diseases. The anthropometric parameters (weight, height, body mass index, middle upper arm circumference (MUAC), and tricipital skinfold thickness (TST) and biochemical parameters (proteins, albumin, and total IGF-I) were comparatively evaluated at the diagnosis and after intensive chemotherapy in the malignant group. Anthropometric and biochemical parameters in group I were significantly different from those in group II for height, MUAC, TST, total proteins, and albumin (p < 0.05). Twenty-five out of 64 patients with malignant diseases and 5 out of 87 patients in the control group had malnutrition. IGF-I in patients with cancer was much lower than in the control group (median 48.3 ng/ml, range 25.00-662.00 ng/ml vs 129.00 ng/ml, range 25.00-745.00 ng/ml) (p = 0.014). We found a positive correlation between IGF-I, MUAC, and TST at the diagnosis of the malignant disease. Also, we identified positive correlations between IGF-I, protein, and albumin. Serum IGF-I levels in cancer patients were significantly lower at diagnosis than after chemotherapy (48.3 ng/ml, range 25.00-662.00 ng/ml vs 110.0 ng/ml, range 25.00-573.00 ng/ml; p = 0.04). CONCLUSION: IGF-I seems to be an accurate biochemical parameter used in malnutrition assessment of children with cancer. IGF-I correlated with the anthropometric parameters of the arm, serum protein, and albumin. These parameters most accurately characterize the nutritional status.

Emerging Biomarkers for Predicting Clinical Outcomes in Patients with Heart Disease.

Cardiovascular disease is most frequently caused by the development and progression of atherosclerosis. When coronary arteries are afflicted, and the stenoses caused by atherosclerotic plaques are severe enough, the metabolic supply-and-offer balance is disturbed, leading to myocardial ischemia. If atherosclerotic plaques become unstable and local thrombosis develops, a myocardial infarction occurs. Sometimes, myocardial ischemia and infarction may result in significant and irreversible heart failure. To prevent severe complications, such as acute coronary syndromes and ischemia-related heart failure, extensive efforts have been made for developing biomarkers that would help identify patients at increased risk for cardiovascular events. In this two-part study, we attempted to provide a review of existing knowledge of blood biomarkers that may be used in this setting. The first part of this work was dedicated to conventional biomarkers, which are already used in clinical practice. In the second part, here presented, we discuss emerging biomarkers which have not yet become mainstream.

Comparison of Six Phenotypic Assays with Reference Methods for Assessing Colistin Resistance in Clinical Isolates of Carbapenemase-Producing Enterobacterales: Challenges and Opportunities.

The global escalation of severe infections due to carbapenemase-producing Enterobacterales (CPE) isolates has prompted increased usage of parenteral colistin. Considering the reported difficulties in assessing their susceptibility to colistin, the purpose of the study was to perform a comparative evaluation of six phenotypic assays-the colistin broth disc elution (CBDE), Vitek 2 Compact (bioMérieux SA, Marcy l'Etoile, France), the Micronaut MIC-Strip Colistin (Merlin Diagnostika GMBH, Bornheim-Hensel, Germany), the gradient diffusion strip Etest (bioMérieux SA, Marcy l'Etoile, France), ChromID Colistin R Agar (COLR) (bioMérieux SA, Marcy l'Etoile, France), and the Rapid Polymyxin NP Test (ELITechGroup, Signes, France)-versus the reference method of broth microdilution (BMD). All false resistance results were further assessed using population analysis profiling (PAP). Ninety-two nonrepetitive clinical CPE strains collected from two hospitals were evaluated. The BMD confirmed 36 (39.13%) isolates susceptible to colistin. According to the BMD, the Micronaut MIC-Strip Colistin, the CBDE, and the COLR medium exhibited category agreement (CA) of 100%. In comparison with the BMD, the highest very major discrepancy (VMD) was noted for Etest (n = 15), and the only false resistance results were recorded for the Rapid Polymyxin NP Test (n = 3). Only the PAP method and the Rapid Polymyxin NP Test were able to detect heteroresistant isolates (n = 2). Thus, there is an urgent need to further optimize the diagnosis strategies for colistin resistance.

Conventional Biomarkers for Predicting Clinical Outcomes in Patients with Heart Disease.

Atherosclerosis is the main cause of cardiovascular disease worldwide. The progression of coronary atherosclerosis leads to coronary artery disease, with impaired blood flow to the myocardium and subsequent development of myocardial ischemia. Acute coronary syndromes and post-myocardial infarction heart failure are two of the most common complications of coronary artery disease and are associated with worse outcomes. In order to improve the management of patients with coronary artery disease and avoid major cardiovascular events, several risk assessment tools have been developed. Blood and imaging biomarkers, as well as clinical risk scores, are now available and validated for clinical practice, but research continues. The purpose of the current paper is to provide a review of recent findings regarding the use of humoral biomarkers for risk assessment in patients with heart disease.