Limitations of Chromogranin A in clinical practice

Context: Usefulness of circulating Chromogranin A (CgA) for the diagnosis of neuroendocrine tumors (NEN) is controversial. The aim of the present study was to assess the actual role of this marker as diagnostic tool. Methods: Serum blood samples were obtained from 42 subjects affected with NEN, 120 subjects affected with non-endocrine neoplasias (non-NEN) and 100 non-neoplastic subjects affected with benign nodular goitre (NNG). Determination of CgA was performed by means of immunoradiometric assay. Results: The CgA levels among NEN-patients were not significantly different from NNG and non-NEN subjects. The Receiver operating characteristic (ROC) curves analysis failed to identify a feasible cut-off value for the differential diagnosis between NEN and the other conditions. Conclusion: Serum CgA is not helpful for the first-line diagnosis of NEN.     

Distribution-free ROC analysis using binary regression techniques

Receiver operating characteristic (ROC) regression methodology is used to identify factors that affect the accuracy of medical diagnostic tests. In this paper, we consider a ROC model for which the ROC curve is a parametric function of covariates but distributions of the diagnostic test results are not specified. Covariates can be either common to all subjects or specific to those with disease. We propose a new estimation procedure based on binary indicators defined by the test result for a diseased subject exceeding various specified quantiles of the distribution of test results from non-diseased subjects with the same covariate values. This procedure is conceptually and computationally simplified relative to existing procedures. Simulation study results indicate that the approach has fairly high statistical efficiency. The new ROC regression methodology is used to evaluate childhood measurements of body mass index as a predictive marker of adult obesity.     

Limitations of Chromogranin A in clinical practice

Context: Usefulness of circulating Chromogranin A (CgA) for the diagnosis of neuroendocrine tumors (NEN) is controversial. The aim of the present study was to assess the actual role of this marker as diagnostic tool. Methods: Serum blood samples were obtained from 42 subjects affected with NEN, 120 subjects affected with non-endocrine neoplasias (non-NEN) and 100 non-neoplastic subjects affected with benign nodular goitre (NNG). Determination of CgA was performed by means of immunoradiometric assay. Results: The CgA levels among NEN-patients were not significantly different from NNG and non-NEN subjects. The Receiver operating characteristic (ROC) curves analysis failed to identify a feasible cut-off value for the differential diagnosis between NEN and the other conditions. Conclusion: Serum CgA is not helpful for the first-line diagnosis of NEN.     

Gamma-glutamyltranspeptidase isoenzyme forms and lipoproteins in normal and pathological sera

The molecular nature of serum (from normal subjects and from patients affected by various hepatobiliary diseases) gamma-glutamyltranspeptidase (GGT) isoenzymes has been studied by selective lipoprotein precipitation. Some fractions co-precipitate with LDL + VLDL (pre-beta-, beta-, beta/gamma-, gamma-, and dep-GGT fractions) or with HDL (partial precipitation of alpha 1-GGT in cirrhosis). Alpha 1-GGT + alpha 2-GGT in normal subjects, and Alb-GGT did not precipitate with either of the precipitation treatments. Total GGT and its isoenzymes were stable at 4 degrees C and at -20 degrees C for at least 20 days, with the exception of Alb-GGT which at -20 degrees C decreased by 20%. The percentage of GGT associated with LDL + VLDL appeared to be a possible marker to discriminate liver tumors from cirrhosis. A cut-off value of 20 U/L of this marker yielded a diagnostic sensitivity of 87% and a diagnostic specificity of 85%.     

Evaluation of an indirect serum ELISA and a bacteriological faecal culture test for diagnosis of Salmonella serotype Dublin in cattle using latent class models

AIMS: To evaluate a conventional bacteriological test based on faecal culture and an indirect serum ELISA for detection of S. Dublin infected cattle. To compare the predictive values of the two tests in relation to the prevalence. METHODS AND RESULTS: A total of 4531 paired samples from cattle in 29 dairy herds were analysed for presence of S. Dublin bacteria in faeces and immunoglobulins directed against S. Dublin lipopolysaccharide in an indirect serum ELISA. Sensitivity and specificity were estimated at two ELISA cut-off values using a validation method based on latent class models, which presumably provides less biased results than traditional validation methods. Stratification of data into three age groups gave significantly better estimates of test performance of the ELISA. Receiver operating characteristic (ROC) curves were constructed for comparison of overall performance of the ELISA between the three age groups. The sensitivity of the faecal culture test was low (6-14%). ELISA appeared to have a higher validity for animals aged 100-299 days of age than older or younger animals. Overall, the negative predictive value of the ELISA was 2-10 times higher than for the faecal culture test at realistic prevalence of infection in the test population. CONCLUSIONS: The diagnostic sensitivity of the faecal culture test for detection of S. Dublin is poor, the specificity is 1. The superior sensitivity and negative predictive value of the serum ELISA makes this test preferable to faecal culture as an initial screening test and for certification of herds not infected with S. Dublin. SIGNIFICANCE AND IMPACT OF THE STUDY: A quantitative estimate of the sensitivity of a faecal culture test for S. Dublin in a general population was provided. ELISA was shown to be an appropriate alternative diagnostic test. Preferably, samples from animals aged 100-299 days of age should be used as these give the best overall performance of the ELISA. Plots of ROC curves and predictive values in relation to prevalence facilitates optimisation of the ELISA cut-off value.     

Determination of asymmetric and symmetric dimethylarginines in plasma of hyperhomocysteinemic subjects

Summary. The aim of this study was to investigate the possible relationship among dimethylarginines (asymmetric, ADMA; symmetric, SDMA) and homocysteine (Hcy) levels in subjects affected by chronic, mild to intermediate, hyperhomocysteinemia.ADMA and SDMA were assayed by an optimised HPLC method in 75 patients (Hcy = 20.8 μmol/L, 17.1–30.2; median and percentile range) and, for comparison, in 85 healthy subjects (Hcy = 8.0 μmol/L, 7.0–9.1). In controls, the cut-off values were set at 0.61 μmol/L for ADMA and 0.56 or 0.48 μmol/L for male and female SDMA, respectively. In patients, ADMA and SDMA levels were increased (p<0.001) with respect to controls, but no correlation with Hcy was observed. Hyperhomocysteinemic subjects showed a different behaviour in respect to ADMA and SDMA levels and this allowed their stratification in 3 subgroups characterized by ADMA and SDMA in the normal range, only SDMA, or both ADMA and SDMA over the cut-off values. A lack of correlation with Hcy was again observed, thus minimizing the direct role of Hcy on ADMA and SDMA metabolism and suggesting the need for further studies on this issue.     

Estimation of the ROC Curve under Verification Bias

The ROC (receiver operating characteristic) curve is the most commonly used statistical tool for describing the discriminatory accuracy of a diagnostic test. Classical estimation of the ROC curve relies on data from a simple random sample from the target population. In practice, estimation is often complicated due to not all subjects undergoing a definitive assessment of disease status (verification). Estimation of the ROC curve based on data only from subjects with verified disease status may be badly biased. In this work we investigate the properties of the doubly robust (DR) method for estimating the ROC curve under verification bias originally developed by Rotnitzky, Faraggi and Schisterman (2006) for estimating the area under the ROC curve. The DR method can be applied for continuous scaled tests and allows for a non‐ignorable process of selection to verification. We develop the estimator's asymptotic distribution and examine its finite sample properties via a simulation study. We exemplify the DR procedure for estimation of ROC curves with data collected on patients undergoing electron beam computer tomography, a diagnostic test for calcification of the arteries.     

The analysis of placement values for evaluating discriminatory measures

The idea of using measurements such as biomarkers, clinical data, or molecular biology assays for classification and prediction is popular in modern medicine. The scientific evaluation of such measures includes assessing the accuracy with which they predict the outcome of interest. Receiver operating characteristic curves are commonly used for evaluating the accuracy of diagnostic tests. They can be applied more broadly, indeed to any problem involving classification to two states or populations (D= 0 or 1). We show that the ROC curve can be interpreted as a cumulative distribution function for the discriminatory measure Y in the affected population (D= 1) after Y has been standardized to the distribution in the reference population (D= 0). The standardized values are called placement values. If the placement values have a uniform(0, 1) distribution, then Y is not discriminatory, because its distribution in the affected population is the same as that in the reference population. The degree to which the distribution of the standardized measure differs from uniform(0, 1) is a natural way to characterize the discriminatory capacity of Y and provides a nontraditional interpretation for the ROC curve. Statistical methods for making inference about distribution functions therefore motivate new approaches to making inference about ROC curves. We demonstrate this by considering the ROC-GLM regression model and observing that it is equivalent to a regression model for the distribution of placement values. The likelihood of the placement values provides a new approach to ROC parameter estimation that appears to be more efficient than previously proposed methods. The method is applied to evaluate a pulmonary function measure in cystic fibrosis patients as a predictor of future occurrence of severe acute pulmonary infection requiring hospitalization. Finally, we note the relationship between regression models for the mean placement value and recently proposed models for the area under the ROC curve which is the classic summary index of discrimination.     

Investigation on Plasmodium falciparum and Plasmodium vivax infection influencing host haematological factors in tribal dominant and malaria endemic population of Jharkhand

The study was undertaken to elucidate the association of host haematological and biochemical indices in Plasmodium falciparum and Plasmodium vivax malaria in order to explore whether these parameters are unique to disease or act as a potential diagnostic marker.Haematological and biochemical parameters in 106 malarial patients and 33 healthy subjects were evaluated.Following parameters were significantly lower in all infection types (P. vivax, P. falciparum and mixed infection); haemoglobin, blood sugar, PCV and blood urea, while ESR is significantly higher in all types of infection whereas serum bilirubin and creatinine are significantly higher except mixed and vivax infection, respectively. Interestingly, parasitaemia, temperature and age are significantly correlated with blood urea, blood sugar and ESR respectively in vivax infection whereas parasitaemia with PCV and blood sugar and age with PCV in falciparum infection.Malaria infected subjects exhibited alterations in some haematological parameters with low haemoglobin, blood sugar and PCV whereas elevated ESR and serum bilirubin being the important findings observed in our study. These evaluations could be considered to be reliable clinical and biochemical markers for promising diagnostic potential during clinical malarial infection in combination with other genetic and classical microscopic parameters. Haematological evaluation could help in prompt and accurate diagnosis and prevent disease progression by facilitating physicians in clinical correlation for better drug regime.     

AFP, CEA, CA 19-9 and TPA in hepatocellular carcinoma.

The present study is based on the assay of four markers (AFP, CEA, TPA, Ca 19-9) using IRMA methods in 36 normal subjects, 44 cirrhosis and 66 HCC patients. Parametric and non parametric tests were used to test differences and correlations. ROC curves and discriminant functions were also elaborated. Normal 95% "cut-off" was determined by the "boostrap" method yielding: CEA 3.4 ng/ml; Ca 19-9 55 U/ml; TPA 58U/l and AFP 5.2 ng/ml. In HCC patients the values of the four markers were, on average, significantly different from those of normal subjects. However, only AFP and TPA exhibited high diagnostic accuracy (90%) for detection of the tumor. Higher than normal mean values for all markers were, also observed in cirrhotic patients. Only AFP yielded effective discrimination between HCC and cirrhosis. The positive prediction for the presence of the tumor on cirrhotic ground was 95% for AFP values higher than 18.5 ng/ml, with a 78% negative predictive value with a 6 ng/ml threshold. Association of AFP with TPA showed only a marginal diagnostic improvement. Results were not improved at all by combining CEA and Ca 19-9 with AFP and/or TPA. In conclusion, AFP is and remains the best marker for HCC and the only one effective in discriminating of HCC from cirrhosis. TPA may be considered a valid alternative if cirrhosis is not present. CEA and Ca19-9 are of no use.     

Diagnostic efficacy of screening tests for hereditary hemochromatosis.

Hereditary hemochromatosis is transmitted as an autosomal recessive trait. Analyses of pedigrees suggest that the frequency of disease (proportion of homozygous individuals) in the general population is approximately 0.3% and that approximately 11% of the population are heterozygous. The genotype of 194 persons in 38 pedigrees was determined by HLA-A and HLA-B haplotyping. Likelihood analysis was then used to appraise the transferrin saturation test when used alone and in combination with the serum ferritin test to detect homozygosity and heterozygosity in these pedigrees. A single cut-off point of 55% for transferrin saturation and a cut-off point at the 90th percentile for the serum ferritin level were adequate for the detection of hemochromatosis if homozygosity was considered to be present when the results of one or both tests were positive. To further assess the value of the transferrin saturation test the percentages were stratified into five intervals. A percentage transferrin saturation of 75 or greater and a serum ferritin level above the 90th percentile ruled in homozygosity, whereas a percentage transferrin saturation of less than 55 and a serum ferritin level at or below the 90th percentile ruled it out with confidence. The probability of heterozygosity rose to 90% when the percentage transferrin saturation was between 35 and 55 and the serum ferritin level was at or below the 90th percentile. The use of five cut-off points allowed the probability of homozygosity and heterozygosity in a pedigree to be estimated for all values of transferrin saturation. Although these screening tests are not recommended for use in the general population, they may be worth while in selected groups of patients.     

HbA1c Test as a Tool in the Diagnosis of Gestational Diabetes Mellitus

Aims

Gestational diabetes mellitus (GDM) is a prevalent and potentially serious condition which may put both mothers and neonates at risk. The current recommendation for diagnosis is the oral glucose tolerance test (OGTT). This study aimed to determine the usefulness of HbA1c test as a diagnostic tool for GDM as compared to the traditional criteria based on the OGTT.

Methods

This was a diagnostic test accuracy study. We performed OGTT and HbA1c test in women attending prenatal visits at a tertiary hospital. GDM was defined according to WHO1999 or ADA/WHO 2013 criteria. ROC curve was used to evaluate the diagnostic performance of HbA1c. Sensitivity, specificity and likelihood ratios for different HbA1c cut-off points were calculated.

Results

Of the 262 women in the third trimester of gestation enrolled in the study, 86 (33%) were diagnosed with GDM. Only five of these women presented HbA1c ≥48 mmol/mol (6.5%). This cut-off point presented 100% specificity but very low sensitivity (7%). Based on ROC curve, and considering OGTT as the reference criterion, HbA1c ≥40 mmol/mol (5.8%) showed adequate specificity in diagnosing GDM (94.9%) but low sensitivity (26.4%). Unlike, HbA1c values of 31 mmol/mol (5.0%) presented adequate sensitivity (89.7%) but low specificity (32.6%) to detect GDM. For women with HbA1c ≥40 mmol/mol (5.8%), the positive and negative likelihood ratios were 5.14 (95%CI 2.49–10.63) and 0.78 (0.68–0.88), respectively. The post-test probability of GDM was about 40%, representing a 4.0-fold increase in the mean pre-test probability. This cut-off point could eliminate the need for the unpleasant and laborious OGTT tests in almost one third of cases, as 38% of patients with GDM may be diagnosable by HbA1c test alone.

Conclusions

Our results show that combined HbA1c and OGTT measurements may be useful in diagnosing GDM.     

High clinical accuracy of asymmetric dimethylarginine and symmetric dimethylarginine in patients with ischemic heart disease

Elevated plasma concentrations of asymmetric dimethylarginine (ADMA) and symmetric dimethylarginine (SDMA) were found in various clinical settings including coronary heart disease. To assess ADMA and SDMA diagnostic validity in patients with different stages of ischemic heart disease, we studied these markers in patients having stable angina pectoris (SAP), unstable angina (USAP), and acute myocardial infarction (AMI). The results were compared with the values of healthy individuals. Plasma ADMA and SDMA levels were measured by high-performance liquid chromatography. In all patient groups both markers were significantly elevated in comparison with control ones (p?<?0.001). In SAP patients, the median ADMA value was 0.75 (0.31–2.73)?μmol/L, and SDMA 1.11 (0.69–0.1.42)?μmol/L, in USAP patients, the marker values were 0.94 (0.34–3.13)?μmol/L and 1.23 (0.88–4.72)?μmol/L, and in AMI patients, 0.98 (0.48–2.01)?μmol/L and 1.26 (0.75–2.93)?μmol/L, while in healthy subjects they were 0.31 (0.17–0.87)?μmol/L and 0.29 (0.20–0.83)?μmol/L, respectively. SDMA was found significantly different in SAP and AMI patients (p?<?0.05). Diagnostic accuracy was determined by receiver operating characteristic (ROC) curve analysis. The highest area under the ROC (AUC) for ADMA was obtained in AMI patients (0.976), while for SDMA in USAP patients (1.000). There was no significant difference between the AUCs. The greatest sensitivity and specificity were found in the USAP group (95.65 and 96.30?% for ADMA, and 100?% for each characteristic of SDMA). Considering these results, SDMA showed better clinical accuracy in assessing ischemic disease, where it could be used as a valid marker and a therapeutic target.     

Accuracy of glycated haemoglobin in screening for pre-diabetes in Asian Indians-a community survey: the Chandigarh Urban Diabetes Study (CUDS)

Aim To compare American Diabetes Association and International Expert Committee recommended cut-off values of HbA(1c) for detecting the presence of pre-diabetes against plasma glucose values obtained from oral glucose tolerance tests in Asian Indians. Methods A cross-sectional randomly sampled population survey involving 2368 adults, aged ≥?20?years. HbA(1c) was measured on a Bio-Rad 10 system in 1972 subjects. Results Of the 1972 subjects studied, 329 were detected to have pre-diabetes based on isolated impaired fasting glucose in 125 subjects (6.3%), isolated impaired glucose tolerance in 141 subjects (7.1%) and the presence of both in 63 subjects (3.2%). The HbA(1c) cut-off of 34?mmol/mol (5.7%), as recommended by the American Diabetes Association for detecting the presence of pre-diabetes, showed sensitivity of 62%, specificity 77%, with a positive predictive value of 34.7%, a negative predictive value of 89.5% and accuracy of 67.8%; whereas the HbA(1c) cut-off recommended by the International Expert Committee of 42?mmol/mol (6%) had a sensitivity of 36%, specificity of 90%, positive predictive value of 42.7%, negative predictive of 85.4% and an accuracy of 77%. However, both these HbA(1c) cut-offs underdiagnosed the presence of pre-diabetes in 38 and 64% of these subjects, respectively. Conclusions The American Diabetes Association and the International Expert Committee recommended HbA(1c) cut-off values and oral glucose tolerance tests identify different pre-diabetes cohorts. Long-term prospective studies are required to define the usefulness of one over the other.     

Evaluation and optimization of diagnostic tests using receiver operating characteristic analysis and information theory

We describe a mathematical technique and an associated computer program for comparing, evaluating and optimizing diagnostic tests. The technique combines receiver operating characteristic (ROC) analysis with information theory and cost-benefit analysis to accomplish this. The program is menu driven and highly interactive; it generates 13 possible user-determined ASCII disk files which can be easily converted to graphs. These graphs allow the user to make detailed comparisons among various diagnostic tests for all values of disorder prevalence, and also provide guidelines for cut-off selection in order to optimize tests. These techniques are applied to three published studies of the enzyme screening assay for diagnosis of infection with the HIV virus. We show how graphs produced by this program can be used to compare and optimize these diagnostic tests. The program is written for an IBM-compatible microcomputer running on a DOS operating system.     

Genomic growth curves of an outbred pig population

In the current post-genomic era, the genetic basis of pig growth can be understood by assessing SNP marker effects and genomic breeding values (GEBV) based on estimates of these growth curve parameters as phenotypes. Although various statistical methods, such as random regression (RR-BLUP) and Bayesian LASSO (BL), have been applied to genomic selection (GS), none of these has yet been used in a growth curve approach. In this work, we compared the accuracies of RR-BLUP and BL using empirical weight-age data from an outbred F2 (Brazilian Piau X commercial) population. The phenotypes were determined by parameter estimates using a nonlinear logistic regression model and the halothane gene was considered as a marker for evaluating the assumptions of the GS methods in relation to the genetic variation explained by each locus. BL yielded more accurate values for all of the phenotypes evaluated and was used to estimate SNP effects and GEBV vectors. The latter allowed the construction of genomic growth curves, which showed substantial genetic discrimination among animals in the final growth phase. The SNP effect estimates allowed identification of the most relevant markers for each phenotype, the positions of which were coincident with reported QTL regions for growth traits.     

MicroRNA expression profile in serum reveals novel diagnostic biomarkers for endometrial cancer

Purpose: Circulating microRNAs (miRNAs) prove to be promising diagnostic biomarkers for various cancers, including endometrial cancer (EC). The present study aims to identify serum microRNAs that can serve as potential biomarkers for EC diagnosis.Patients and methods: A total of 92 EC and 102 normal control (NC) serum samples were analyzed using quantitative real-time polymerase chain reaction (qRT-PCR) in this four-phase experiment. The logistic regression method was used to construct a diagnostic model based on the differentially expressed miRNAs in serum. The receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic value. To further validate the diagnostic capacity of the identified signature, the 6-miRNA marker was compared with previously reported biomarkers and verified in three public datasets. In addition, the expression characteristics of the identified miRNAs were further explored in tissue and serum exosomes samples.Results: Six miRNAs (miR-143-3p, miR-195-5p, miR-20b-5p, miR-204-5p, miR-423-3p, and miR-484) were significantly overexpressed in the serum of EC compared with NCs. Areas under the ROC of the 6-miRNA signatures were 0.748, 0.833, and 0.967 for the training, testing, and the external validation phases, respectively. The identified signature has a very stable diagnostic performance in the large cohorts of three public datasets. Compared with previously identified miRNA biomarkers, the 6-miRNA signature in the present study has superior performance in diagnosing EC. Moreover, the expression of miR-143-3p and miR-195-5p in tissues and the expression of miR-20b-5p in serum exosomes were consistent with those in serum.Conclusions: We established a 6-miRNA signature in serum and they could function as potential non-invasive biomarker for EC diagnosis.     

腺苷脱氨酶活性对自身免疫性肝病的临床意义研究

摘要 目的：探讨腺苷脱氨酶（ADA）在自身免疫性肝病患者血清中的变化及其临床意义。方法：利用酶法试剂盒检测自身免疫性肝病患者血清中的总ADA（tADA）及其同工酶ADA1和ADA2的活性变化,利用受试者工作曲线（ROC）分析总ADA、ADA1及ADA2活性的诊断价值。利用Spearman相关性分析自身免疫性肝病患者各指标之间的相关性。结果：与对照组相比,tADA和ADA2活性在自身免疫性肝病患者血清中均极显著升高（P<0.001）,ADA1活性有一定程度升高（P=0.035）。不同自身免疫性肝病亚型患者之间的血清tADA、ADA1及ADA2活性均无显著差异。ROC分析显示,血清tADA和ADA2活性具有诊断价值,ADA1活性无诊断价值。tADA活性截断值取13.5 U/L时,诊断特异性为93.3%,敏感性为81.2%。血清ADA2活性截断值取9.5 U/L时,诊断特异性为85.0%,敏感性为83.3%。而ADA1无显著的诊断价值,ADA活性与白蛋白球蛋白比值呈显著负相关（r=-0.41,P=0.004）,与球蛋白水平具有一定程度的正相关（r=0.34,P=0.018）,与ALT呈弱正相关（r=0.29,P=0.042）,与其他指标的相关性均无统计学显著性。结论：血清tADA及ADA2活性在自身免疫性肝病患者血清中显著升高,并且具有一定的诊断价值。