22-P Diagnostic accuracy of solid phase antibody assays for prediction of cell-based crossmatches assessed using receiver operating curve (ROC) analysis

2011 ◽  
Vol 72 ◽  
pp. S29
Author(s):  
Thomas M. Ellis ◽  
Karen L. Pierce ◽  
Christopher P. Johnson ◽  
Jennifer J. Schiller
Keyword(s):  
Diagnostic Accuracy ◽  
Roc Analysis ◽  
Solid Phase ◽  
Receiver Operating Curve ◽  
Antibody Assays ◽  
Receiver Operating

scholarly journals Evaluating the diagnostic accuracy of gene xpert analysis in pediatric pulmonary tuberculosis: a prospective clinical study in North-Western India

2021 ◽  
Vol 8 (4) ◽  
pp. 716
Author(s):  
Venkatesh Karthik S. ◽  
Jigisha Patadiya
Keyword(s):  
Diagnostic Accuracy ◽  
Predictive Value ◽  
Roc Analysis ◽  
Gastric Lavage ◽  
Control Program ◽  
Tuberculin Test ◽  
Receiver Operating Curve ◽  
Prospective Clinical Study ◽  
Western India ◽  
X Rays

Background: The diagnosis of tuberculosis (TB) by microbiological tests is a major challenge particularly in children. The use of Xpert analysis, a rapid genetic testing modality is not widely reported in our locality. The aim of the study to evaluate the diagnostic accuracy of Gene xpert analysis in diagnosis of pediatric Pulmonary TB.Methods: A prospective hospital-based study was conducted among 140 participants with symptomatology pertaining to pulmonary TB as per Revised national tuberculosis control program (RNTCP, India) criteria. The Xpert testing (GXT) was performed as per standards and was compared with erythrocyte sedimentation rate (ESR), tuberculin test (TT) and chest X-rays (CXR). The obtained results were reported in terms of Sensitivity %, Specificity %, Positive Predictive Value % (PPV) and Negative Predictive Value % (NPV) for comparisons. The receiver operating curve (ROC) analysis was employed to evaluate the accuracy of diagnosis.Results: The GXT was positive (10.71 %) in suspected TB patients. TT has significantly (10 %) with a73.33% sensitivity, 93.60% specificity and a PPV of 57.89 % when compared with xpert. The ESR showed a sensitivity of 53.33% and a specificity of 56%. The CXR showed sensitivity of 93.33%. The ROC analysis showed that TT had a higher confidence interval (0.699-0.970) t5`han other methods. The Rifampicin resistance was found 7.5% (n=2) of 15 GXT positive cases.Conclusions: The xpert based diagnosis of gastric lavage samples after a tuberculin test (TT) had high sensitivity and specificity, followed by chest X ray while the ESR had lower clinical accuracy. The ‘gene xpert analysis’ is highly useful rapid tool for diagnosis of children with TB. 

Diagnostic accuracy of solid phase HLA antibody assays for prediction of crossmatch strength

2012 ◽  
Vol 73 (7) ◽  
pp. 706-710 ◽  
Author(s):  
Thomas M. Ellis ◽  
Jennifer J. Schiller ◽  
Allan M. Roza ◽  
David C. Cronin ◽  
Brian D. Shames ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Solid Phase ◽  
Antibody Assays ◽  
Hla Antibody

scholarly journals 215 Assessment of the Diagnostic Sensitivity and Specificity of Pain Biomarkers in Cattle Using Receiver Operating Characteristic Curves

2020 ◽  
Vol 98 (Supplement_3) ◽  
pp. 7-8
Author(s):  
Miriam S Martin ◽  
Michael Kleinhenz ◽  
Karen Schwartzkopf-Genswein ◽  
Johann Coetzee
Keyword(s):  
Diagnostic Accuracy ◽  
Receiver Operating Characteristic ◽  
Sensitivity And Specificity ◽  
Predictive Value ◽  
Roc Analysis ◽  
Operating Characteristic ◽  
Diagnostic Sensitivity ◽  
Diagnostic Sensitivity And Specificity ◽  
Good Diagnostic Accuracy ◽  
Receiver Operating

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 > 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.

Validation of the Lyon classification for GORD diagnosis: acid exposure time assessed by prolonged wireless pH monitoring in healthy controls and patients with erosive oesophagitis

Gut ◽  
2021 ◽  
pp. gutjnl-2020-323798 ◽  
Author(s):  
Radu-Ionut Rusu ◽  
Mark R Fox ◽  
Emily Tucker ◽  
Sebastian Zeki ◽  
Jason M Dunn ◽  
...  
Keyword(s):  
Exposure Time ◽  
Predictive Value ◽  
Reflux Oesophagitis ◽  
Roc Analysis ◽  
Erosive Oesophagitis ◽  
Acid Exposure ◽  
Receiver Operating Curve ◽  
Diagnostic Thresholds ◽  
Acid Exposure Time ◽  
Receiver Operating

ObjectiveAcid exposure time (AET) from ambulatory pH studies and reflux oesophagitis are independent measurements used by the Lyon classification to diagnose GORD. This study aimed to validate AET reference ranges and diagnostic thresholds by analysis of 96-hour wireless pH studies from healthy, asymptomatic controls (HCs) and patients with and without oesophagitis.DesignHC and consecutive patients referred for wireless pH studies (off acid suppressants for >7 days) underwent 96-hour pH studies at two tertiary referral centres. Erosive oesophagitis was categorised by the Los Angeles (LA) classification. Linear regression and receiver operating curve (ROC) analysis were performed to define optimal diagnostic cut-offs.ResultsProlonged, 96-hour pH studies were completed in 39 HCs (age 28 (18–53) years, 72% female) and 944 patients (age 46 (16–85) years, 65% female), of whom 136 (14.5%) had reflux oesophagitis. Median AET in HC was 1.3% (upper 95th percentile 4.6%) for any study day and 2.6% (upper 95th percentile 6.9%) for the worst day (24-hour period) during the study. ROC analysis for average AET differentiated HC from patients with moderate-to-severe oesophagitis (LA BCD; sensitivity 87%, specificity 95%, positive predictive value (PPV) 59%, negative predictive value 99% for a cut-off AET of 4.3%; area under the receiver operating curve 0.95). Specificity was higher, but PPV was substantially lower for severe oesophagitis (LA CD). ‘Worst-day’ analysis provided similar results; however, day-to-day variability was high.ConclusionDiagnostic thresholds for average AET were identified that accurately discriminate between HCs and patients with erosive oesophagitis. The findings provide conditional support for diagnostic criteria for GORD proposed by the Lyon Consensus.

scholarly journals Transient Elastography for Significant Liver Fibrosis and Cirrhosis in Chronic Hepatitis B: A Meta-Analysis

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Xiaolong Qi ◽  
Min An ◽  
Tongwei Wu ◽  
Deke Jiang ◽  
Mengyun Peng ◽  
...  
Keyword(s):  
Chronic Hepatitis ◽  
Liver Fibrosis ◽  
Hepatitis B ◽  
Diagnostic Accuracy ◽  
Chronic Hepatitis B ◽  
Transient Elastography ◽  
Meta Analysis ◽  
Receiver Operating Curve ◽  
Significant Fibrosis ◽  
Receiver Operating

Background. The hepatitis B virus infection is a global health issue and the stage of liver fibrosis affects the prognosis in patients with chronic hepatitis B (CHB). We performed the meta-analysis describing diagnostic accuracy of transient elastography (TE) for predicting CHB-related fibrosis. Methods. We performed an adequate literature search to identify studies that assessed the diagnostic accuracy of TE in CHB patients using biopsy as reference standard. Hierarchical summary receiver-operating curves model and the bivariate mixed-effects binary regression model were applied to generate summary receiver-operating characteristic curves and pooled estimates of sensitivity and specificity. Results. The area under the summary receiver-operating curve for significant fibrosis and cirrhosis was 0.86 (95% confidence interval (CI): 0.83–0.89) and 0.92 (95% CI: 0.90–0.94), respectively. The sensitivity, specificity, and diagnostic odds ratio of TE for significant fibrosis were 0.78 (95% CI: 0.73–0.81, p<0.01; I2=85.59%), 0.81 (95% CI: 0.77–0.84, p<0.01; I2=88.20%), and 14.44 (95% CI: 10.80–19.31, p<0.01; I2=100%) and for cirrhosis were 0.84 (95% CI: 0.80–0.88, p<0.01; I2=76.67%), 0.87 (95% CI: 0.84–0.90, p<0.01; I2=90.89%), and 36.63 (95% CI: 25.38–52.87, p<0.01; I2=100%), respectively. The optimal cut-off values of TE were 7.25 kPa for diagnosing significant fibrosis and 12.4 kPa for diagnosing cirrhosis, respectively. Conclusion. TE is of great value in the detection of patients with CHB-related cirrhosis but has a suboptimal accuracy in the detection of significant fibrosis.

scholarly journals Comparing the Diagnostic Accuracy of HbA1c for Pre-Diabetes and Diabetes Between Foreign-Born and Swedish-Born Primary Healthcare Patients

2021 ◽  
Author(s):  
Marina Taloyan ◽  
Helena Salminen ◽  
Fredrik Melin ◽  
Kristin Hjörleifdottir Steiner ◽  
Claes-Göran Östenson
Keyword(s):  
Diagnostic Accuracy ◽  
Primary Healthcare ◽  
Roc Analysis ◽  
Receiver Operating Curve ◽  
Foreign Born ◽  
Exclusion Criteria ◽  
Glucose Levels ◽  
Blood Glucose Levels ◽  
Receiver Operating Curve Analysis ◽  
Different Populations

Abstract BackgroundThe aim of this study was to compare the diagnostic accuracy of HbA1c in detecting individuals with abnormally elevated blood glucose levels between foreign-born and Swedish-born primary healthcare patients. The secondary aim was to approximate appropriate HbA1c cut off values for the different populations to yield better sensitivity and specificity.MethodsData analysed in this study was collected in the Programme 4D (Four Diagnoses). Patients aged 18-74 years visiting Flemingsberg and Jakobsberg healthcare centres between years 2013-2015 were inquired about inclusion in the study. Exclusion criteria included having a diagnosis of diabetes. Screening included HbA1c, OGTT (including fasting plasma glucose) and questionnaires regarding country of birth as well as prediabetes/diabetes risk assessment questionnaires. In order to calculate diagnostic accuracy of HbA1c-testing, subjects with either both OGTT and HbA1c results and both fP-glucose and HbA1c results were included in the calculation. This totalled in 757 out of the 830 patients.ResultsOnly 22 of 623 patients had elevated results on all three tests. For Swedish-born patients an HbA1c cut off of 42 mmol/mol yielded 12.7% sensitivity and the ROC (Receiver Operating Curve) analysis gave an AUC (Area Under Curve) of 0.756 (0.702-0.810 [95% CI]). For foreign-born patients, an HbA1c cut off value of 42 mmol/mol yielded 19.7% sensitivity and the ROC analysis gave an AUC of 0.6975 (0.646-0.749 [95% CI]).ConclusionsThe diagnostic accuracy for HbA1c in detecting prediabetes and diabetes might be better for the Swedish-born than the foreign-born group. For both groups, an HbA1c cut off value of 34 mmol/mol would yield a sensitivity of >70% which can be considered for further investigation. Comparing the AUC for the two groups might indicate greater diagnostic accuracy for the test in the Swedish-born population than the foreign-born population.

scholarly journals Value of Non-Invasive Fetal Monitoring Techniques in Detection of Fetal Metabolic Acidemia at Birth

2013 ◽  
Vol 13 (2) ◽  
pp. 14-19
Author(s):  
K Dokus ◽  
K Matasova ◽  
J Visnovsky ◽  
S Dokusova ◽  
J. Danko
Keyword(s):  
Diagnostic Accuracy ◽  
Roc Analysis ◽  
Fetal Monitoring ◽  
Receiver Operating Curve ◽  
Prospective Clinical Study ◽  
Non Invasive ◽  
Obstetrics And Gynaecology ◽  
Fetal Ecg ◽  
Fetal Surveillance ◽  
Fetal Pulse Oximetry

Abstract Objective. Purpose of the study was to evaluate the diagnostic accuracy of fetal pulse oximetry (FPO) and STanalysis of the fetal ECG (STAN) in prediction of fetal acidemia at birth. Methods. A prospective clinical study was conducted at the Department of Obstetrics and Gynaecology, Jessenius Faculty of Medicine, Martin, Slovakia. In total, 63 out of 70 women with non-reassuring CTG patterns in labour were enrolled. Fetal surveillance during the labour continued with simultaneous CTG plus FPO and STAN monitoring. A receiver operating curve (ROC) analysis was performed to ascertain diagnostic accuracy of individual methods. Results. The study confirmed FPO has a significant ability to detect fetal acidemia at birth (UA-pH ≤ 7.2). The optimum diagnostic cut-off value of SpO2 was 33%, with FPO’s diagnostic sensitivity 60%, and specificity 85.2%. The diagnostic accuracies of STAN + CTG and CTG alone were inferior to that of FPO. Conclusions. FPO has an ability to predict fetal birth acidemia (UA-pH ≤ 7.2), and its diagnostic accuracy is superior to STAN + CTG, or CTG alone monitoring. Condensation.FPO has ability to predict fetal birth acidemia (UA - pH≤7.2), and its diagnostic accuracy is superior to STAN + CTG, or CTG alone monitoring.

scholarly journals OP0147 RHEUMATIC? - A DIGITAL DIAGNOSTIC DECISION SUPPORT TOOL FOR INDIVIDUALS SUSPECTING RHEUMATIC DISEASES: A MULTICENTER VALIDATION STUDY

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 87.1-88
Author(s):  
R. Knevel ◽  
J. Knitza ◽  
A. Hensvold ◽  
A. Circiumaru ◽  
T. Bruce ◽  
...  
Keyword(s):  
Health Care ◽  
Decision Support ◽  
Rheumatic Disease ◽  
Rheumatic Diseases ◽  
Receiver Operating Curve ◽  
Musculoskeletal Complaints ◽  
Immune Mediated ◽  
Diagnostic Decision ◽  
Ocean Observations ◽  
Receiver Operating

Background:Digital diagnostic decision support tools promise to accelerate diagnosis and increase health care efficiency in rheumatology. Rheumatic? is an online tool developed by specialists in rheumatology and general medicine together with patients and patient organizations for individuals suspecting a rheumatic disease.1,2 The tool can be used by people suspicious for rheumatic diseases resulting in individual advise on eventually seeking further health care.Objectives:We tested Rheumatic? for its ability to differentiate symptoms from immune-mediated diseases from other rheumatic and musculoskeletal complaints and disorders in patients visiting rheumatology clinics.Methods:The performance of Rheumatic? was tested using data from 175 patients from three university rheumatology centers covering two different settings:A.Risk-RA phase setting. Here, we tested whether Rheumatic? could predict the development of arthritis in 50 at risk-individuals with musculoskeletal complaints and anti-citrullinated protein antibody positivity from the KI (Karolinska Institutet)B.Early arthritis setting. Here, we tested whether Rheumatic? could predict the development of an immune-mediated rheumatic disease in i) EUMC (Erlangen) n=52 patients and ii) LUMC (Leiden) n=73 patients.In each setting, we examined the discriminative power of the total score with the Wilcoxon rank test and the area-under-the-receiver-operating-characteristic curve (AUC-ROC).Results:In setting A, the total test score clearly differentiated between individuals developing arthritis or not, median 245 versus 163, P < 0.0001, AUC-ROC = 75.3 (Figure 1). Also within patients with arthritis the Rheumatic? total score was significantly higher in patients developing an immune-mediated arthritic disease versus those who did not: median score EUMC 191 versus 107, P < 0.0001, AUC-ROC = 79.0, and LUMC 262 versus 212, P < 0.0001, AUC-ROC = 53.6.Figure 1.(Area under) the receiver operating curve for the total Rheumatic? scoreConclusion:Rheumatic? is a web-based patient-centered multilingual diagnostic tool capable of differentiating immune-mediated rheumatic conditions from other musculoskeletal problems. A following subject of research is how the tool performs in a population-wide setting.References:[1]Knitza J. et al. Mobile Health in Rheumatology: A Patient Survey Study Exploring Usage, Preferences, Barriers and eHealth Literacy. JMIR mHealth and uHealth. 2020.[2]https://rheumatic.elsa.science/en/Acknowledgements:This project has received funding from EIT Health. EIT Health is supported by the European Institute of Innovation and Technology (EIT), a body of the European Union that receives support from the European Union’s Horizon 2020 Research and Innovation program.This project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 777357, RTCure.Disclosure of Interests:Rachel Knevel: None declared, Johannes Knitza: None declared, Aase Hensvold: None declared, Alexandra Circiumaru: None declared, Tor Bruce Employee of: Ocean Observations, Sebastian Evans Employee of: Elsa Science, Tjardo Maarseveen: None declared, Marc Maurits: None declared, Liesbeth Beaart- van de Voorde: None declared, David Simon: None declared, Arnd Kleyer: None declared, Martina Johannesson: None declared, Georg Schett: None declared, Thomas Huizinga: None declared, Sofia Svanteson Employee of: Elsa Science, Alexandra Lindfors Employee of: Ocean Observations, Lars Klareskog: None declared, Anca Catrina: None declared

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