scholarly journals Diagnostic Accuracy of Non-invasive Laboratory-Based Fibrosis Scores in Predicting the Presence of Esophageal Varices in Liver Cirrhosis

2020 ◽  
Vol 9 (2) ◽  
pp. 54-59
Author(s):  
Rajesh Pandey ◽  
Rahul Pathak ◽  
Arun Gnawali ◽  
Prem Krishna Khadga ◽  
Sashi Sharma ◽  
...  

Introduction: Non-invasive assessment of esophageal varices (EVs) may reduce endoscopic burden and cost. This study aimed to evaluate the diagnostic accuracy of non-invasive fibrosis scores (AAR, APRI, FIB-4, King and Lok scores) for the prediction of varices in liver cirrhosis. Methods: This prospective study included 100 liver cirrhosis patients who underwent screening endoscopy for EVs. AAR, APRI, FIB-4, King and Lok scores were assessed. The receiver operating characteristic curves (ROC) were plotted to measure and compare the performance of each score for predicting EVs and to obtain the corresponding optimal prediction value. Results: Of the 100 patients, 70 were males and 30 were females with a mean age of 54.05±11.58 years. Esophageal varices were found in 77 patients out of which 58.44% were high-risk varices. Platelet count and non-invasive fibrosis scores APRI, FIB-4, Lok and King were able to discriminate patients with and without varices. Using area under receiver operating characteristic curve (AUROC), these scores were found to have low to moderate diagnostic accuracy for the presence of EVs and high-risk EVs, where the APRI score had the highest AUROC (0.77 and 0.70) respectively. At a cutoff value > 1.4, APRI score had 90.9% sensitivity, 60.9% specificity and 84 % diagnostic accuracy in predicting the presence of varices, while it had 84.4% sensitivity, 45.5% specificity and 63% diagnostic accuracy in predicting the presence of highrisk varices, at a cutoff value > 2.02. Conclusion: APRI, AAR, FIB-4, King, and Lok scores had low to moderate diagnostic accuracy in predicting the presence of varices in liver cirrhosis. The APRI score can help select a patient for the endoscopy but cannot replace endoscopy for esophageal varices screening.

2021 ◽  
Author(s):  
Wen Zhao ◽  
Ningning Xue ◽  
Po Cui ◽  
Lingdi Liu ◽  
Yiqi Wang ◽  
...  

Aim: To explore the predictive value of plasma YAP1 for esophageal varices (EV) and high-risk EV (HRV) in patients with liver cirrhosis. Materials & methods: A total of 208 patients with liver cirrhosis were enrolled and categorized into four groups. Correlation analysis, logistic regression analysis and receiver operating characteristic curve analysis were performed to evaluate the diagnostic performance of plasma YAP1 for EV and HRV. Results: Plasma YAP1 levels were significantly elevated with the occurrence and progression of EV in cirrhotic patients. The multivariate logistic regression analysis revealed that plasma YAP1 is an independent predictor for EV and HRV. For predicting EV and HRV, the YAP1 cut-off values of 5.43 and 6.98 ng/ml yielded the area under the receiver operating characteristic curves of 0.944 and 0.955, respectively. Conclusion: Plasma YAP1 is a potential novel noninvasive biomarker for predicting EV and HRV in patients with liver cirrhosis.


2008 ◽  
Vol 22 (10) ◽  
pp. 825-828 ◽  
Author(s):  
Waqas Wahid Baig ◽  
MV Nagaraja ◽  
Muralidhar Varma ◽  
Ravindra Prabhu

AIM: To study the value of platelet count to spleen diameter ratio as a noninvasive parameter for diagnosing esophageal varices (EVs) in liver cirrhosis.METHODS: The laboratory and ultrasonographic variables were prospectively evaluated in 150 patients with liver cirrhosis. Only stable patients were included in the study. Patients with active gastrointestinal bleeding at the time of admission were excluded. All patients underwent screening upper gastrointestinal endoscopy.RESULTS: The platelet count, spleen diameter and platelet count to spleen diameter ratio in patients with EVs were significantly different from patients without EVs. The platelet count to spleen diameter ratio had the highest accuracy among the three parameters. By applying receiver operating characteristic curves, a platelet count to spleen diameter ratio cut-off value of 1014 was obtained, which gave positive and negative predictive values of 95.4% and 95.1%, respectively. The accuracy of this cut-off value as evaluated by applying receiver operating characteristic curves was 0.942 (95% CI 0.890 to 0.995).CONCLUSION: Among the noninvasive parameters studied, platelet count to spleen diameter ratio had the highest accuracy for diagnosing EVs. However, the evidence for the noninvasive diagnosis is not yet sufficient to replace endoscopy as a diagnostic screening tool for EVs in all cirrhotic patients. The platelet count to spleen diameter ratio may be a useful tool for diagnosing EVs in liver cirrhosis noninvasively when endoscopy facilities are not available.


BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e038449
Author(s):  
Lisa Helen Telford ◽  
Leila Hussein Abdullahi ◽  
Eleanor Atieno Ochodo ◽  
Liesl Joanna Zuhlke ◽  
Mark Emmanuel Engel

ObjectiveTo summarise the accuracy of handheld echocardiography (HAND) which, if shown to be sufficiently similar to that of standard echocardiography (STAND), could usher in a new age of rheumatic heart disease (RHD) screening in endemic areas.DesignSystematic review and meta-analysis.Data sourcesPubMed, Scopus, EBSCOHost and ISI Web of Science were initially searched on 27 September 2017 and again on 3 March 2020 for studies published from 2012 onwards.Eligibility criteriaStudies assessing the accuracy of HAND compared with STAND when performed by an experienced cardiologist in conjunction with the 2012 World Heart Federation criteria among populations of children and adolescents living in endemic areas were included.Data extraction and synthesisTwo reviewers independently extracted data and assessed the methodological quality of included studies against review-specific Quality Assessment of Diagnostic Accuracy Studies (QUADAS)-2 criteria. A meta-analysis using the hierarchical summary receiver operating characteristic model was conducted to produce summary results of sensitivity and specificity. Forest plots and scatter plots in receiver operating characteristic space in combination with subgroup analyses were used to investigate heterogeneity. Publication bias was not investigated.ResultsSix studies (N=4208) were included in the analysis. For any RHD detection, the pooled results from six studies were as follows: sensitivity: 81.56% (95% CI 76.52% to 86.61%) and specificity: 89.75% (84.48% to 95.01%). Meta-analytical results from five of the six included studies were as follows: sensitivity: 91.06% (80.46% to 100%) and specificity: 91.96% (85.57% to 98.36%) for the detection of definite RHD only and sensitivity: 62.01% (31.80% to 92.22%) and specificity: 82.33% (65.15% to 99.52%) for the detection of borderline RHD only.ConclusionsHAND displayed good accuracy for detecting definite RHD only and modest accuracy for detecting any RHD but demonstrated poor accuracy for the detection of borderline RHD alone. Findings from this review provide some evidence for the potential of HAND to increase access to echocardiographic screening for RHD in resource-limited and remote settings; however, further research into feasibility and cost-effectiveness of wide-scale screening is still needed.PROSPERO registration numberCRD42016051261.


2015 ◽  
Vol 28 (2) ◽  
pp. 189
Author(s):  
Ana Salselas ◽  
Inês Pestana ◽  
Francisco Bischoff ◽  
Mariana Guimarães ◽  
Joaquim Aguiar Andrade

<strong>Introduction:</strong> Pregnant women with thromboembolic diseases, previous thrombotic episodes or thrombophilia family history were supervised in a multidisciplinary Obstetrics/ Hematology consultation in Centro Hospitalar São João EPE, Porto, Portugal. For the evaluation and medication of these women, a risk stratification scale was used.<br /><strong>Purposes:</strong> The aim of this study was to validate a Risk Stratification Scale and thromboprophylaxis protocol by means of comparing it with a similar scale, developed and published by Sarig.<br /><strong>Material and Methods:</strong> We have compared: The distribution, by risk groups, obtained through the application of the two scales on pregnant women followed at Centro Hospitalar São João, Porto, Portugal, consultation; the sensibility and specificity for each one of the scales (DeLong scale, applied to Receiver Operating Characteristic) curves; the outcomes in pregnancies followed in Hospital São João, Porto, Portugal<br /><strong>Results:</strong> According to our Hema-Obs risk stratification scale, 29% were allocated to low-risk, 47% to high-risk and 24% to very-high-risk groups. According to Galit Sarig risk stratification scale, 24% were considered low-risk, 53% moderate, 16% high-risk and 7% as very high-risk group. In our study we observed 9% of spontaneous abortions, in comparison with 18% in the Galit Sarig cohort. From the application of Receiver Operating Characteristic curve to both risk stratification scales, the results of the calculated areas were 58,8% to our Hema-Obs risk stratification scale and 38,7% to Galit Sarig risk stratification scale, with a Delong test significancie of p = 0.0006.<br /><strong>Conclusions:</strong> We concluded that Hema-Obs risk stratification scale is an effective support for clinical monitoring of therapeutic strategies.


2020 ◽  
Vol 98 (Supplement_3) ◽  
pp. 7-8
Author(s):  
Miriam S Martin ◽  
Michael Kleinhenz ◽  
Karen Schwartzkopf-Genswein ◽  
Johann Coetzee

Abstract Biomarkers are commonly used to assess pain and analgesic drug efficacy in livestock. However, the diagnostic sensitivity and specificity of these biomarkers for different pain conditions over time have not been described. Receiver operating characteristic (ROC) curves are graphical plots that illustrate the diagnostic ability of a test as its discrimination threshold is varied. The objective of this analysis was to use area under the curve (AUC) values derived from ROC analysis to assess the predictive value of pain biomarkers at specific timepoints. The biomarkers included in the analysis were blood cortisol, salivary cortisol, hair cortisol, infrared thermography (IRT), mechanical nociceptive threshold (MNT), substance P, and outcomes from a pressure/force measurement system and visual analog scale. A total sample size of 7,992 biomarker outcomes were collected from 6 pain studies involving pain associated with castration, dehorning, lameness, and surgery were included in the analysis. Each study consisted of three treatments; pain, no pain, and analgesia. All statistics were performed using statistical software (JMP Pro 14.0, SAS Institute, Inc., Cary, NC). Results comparing analgesia verses pain yielded good diagnostic accuracy (AUC &gt; 0.7; 95% CI: 0.40 to 0.99) for blood cortisol (timepoints 1.5, 2, and 6 hours); IRT (timepoints 6, 8, 12, and 72 hours); and MNT (timepoints 6, 25, and 49 hours). These results indicate that ROC analysis can be a useful indicator of the predictive value of pain biomarkers and certain timepoints seem to yield good diagnostic accuracy while many do not.


2020 ◽  
Vol 29 (1) ◽  
pp. 125-137
Author(s):  
Yuanyuan Bai ◽  
Cheng Chen ◽  
Xiaoling Guo ◽  
Ting Ding ◽  
Xinyun Yang ◽  
...  

BACKGROUND: MicroRNA (miRNA) expression has been implicated in leukaemia. In recent years, miRNAs have been under investigation for their potential as non-invasive biomarkers in acute promyelocytic leukaemia (APL). We investigated whether miR-638 in circulating leukaemia cells is a non-invasive biomarker in diagnosis, assessment of the treatment response and minimal residual disease (MRD) surveillance of APL. METHODS: Sixty cases of acute myeloid leukaemia (AML), including 30 cases of APL and 30 cases of non-APL AML, were selected. Thirty healthy controls were also selected. Bone marrow (BM) and peripheral blood (PB) samples were collected from APL patients at diagnosis and post-induction. Microarray analysis and quantitative real-time PCR (qRT-PCR) were performed for miRNA profiling and miR-638 expression analysis, respectively. For statistical analysis, Mann-Whitney U test, Wilcoxon Signed Rank test, receiver operating characteristic (ROC) curve analysis and Spearman’s rho correlation test were used. RESULTS: Both microarray and qRT-PCR data showed that miR-638 was significantly upregulated in BM after APL patients received induction therapy. Moreover, miR-638, which is specifically downregulated in APL cell lines, was upregulated after all-trans retinoic acid (ATRA)-induced myeloid differentiation. Receiver operating characteristic (ROC) curve analyses revealed that miR-638 could serve as a valuable biomarker for differentiating APL from controls or non-APL AML. Furthermore, miR-638 expression was sharply increased after induction therapy and complete remission (CR). An inverse correlation was observed between miR-638 and PML-RARα transcripts levels in BM samples, while a positive correlation was revealed between PB miR-638 and BM miR-638 levels in APL patients after induction therapy. CONCLUSIONS: Our study suggested that miR-638 may serve as a potential APL biomarker for diagnosis and assessment of the response to targeted therapy, and PB miR-638 could be used for non-invasive MRD surveillance in APL.


1993 ◽  
Vol 39 (4) ◽  
pp. 561-577 ◽  
Author(s):  
M H Zweig ◽  
G Campbell

Abstract The clinical performance of a laboratory test can be described in terms of diagnostic accuracy, or the ability to correctly classify subjects into clinically relevant subgroups. Diagnostic accuracy refers to the quality of the information provided by the classification device and should be distinguished from the usefulness, or actual practical value, of the information. Receiver-operating characteristic (ROC) plots provide a pure index of accuracy by demonstrating the limits of a test's ability to discriminate between alternative states of health over the complete spectrum of operating conditions. Furthermore, ROC plots occupy a central or unifying position in the process of assessing and using diagnostic tools. Once the plot is generated, a user can readily go on to many other activities such as performing quantitative ROC analysis and comparisons of tests, using likelihood ratio to revise the probability of disease in individual subjects, selecting decision thresholds, using logistic-regression analysis, using discriminant-function analysis, or incorporating the tool into a clinical strategy by using decision analysis.


Sign in / Sign up

Export Citation Format

Share Document