scholarly journals SAA4 is a Diagnostic Marker to Enhance Detection Forrheumatoid Arthritis Combined with Anti-CCP

2022 ◽  
Author(s):  
Jiahui Li ◽  
Haina Liu ◽  
Bingbing Dai ◽  
Zhijun Fan ◽  
Qiao Wang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Area Under The Curve ◽  
Density Lipoprotein ◽  
Serum Levels ◽  
Diagnostic Model ◽  
Diagnostic Efficiency ◽  
Combined Model ◽  
Specificity And Sensitivity ◽  
Diagnostic Models ◽  
In Series

Abstract Objective Serum amyloid A4 (SAA4) is an apolipoprotein that is associated with high-density lipoprotein (HDL) in plasma. In this present investigation, we appraised the potential of SAA4 as a novel diagnostic biomarker for rheumatoid arthritis (RA) combined with other established RA biomarkers, including anticitrullinated protein antibody (anti-CCP), rheumatoid factor (RF)，and C-reactive protein (CRP). Based on the correlative measures of the biomarkers, we developed a diagnostic model of RA by integrating serum levels of SAA4 with these clinical parameters. Methods A number of 316 patients were recruited in the current research. The serum levels of SAA4 were assessed by quantitative ELISA. The specificity and sensitivity of biomarkers were evaluated by using a receiver-operator curve (ROC) analysis to determine their diagnostic efficiency. Univariate and multivariate logistic regression analyses were used to screen and construct the diagnostic models for RA , consisting of diagnostic biomarkers and clinical data. A diagnostic nomogram was then generated based on logistic regression analysis results. Results The serum levels of SAA4 were considerably greatest in RA patients in comparison to other control subjects (P<0.001). Compared with anti-CCP, RF and CRP respectively, SAA4 had the highest specificity (88.60%) for diagnosing RA. The combination of SAA4 with anti-CCP could have the highest diagnostic accuracy when paired together, with highest sensitivity (91.14%) in parallel and highest specificity(98.10) in series. We successfully developed two diagnostic models: the combined model of SAA4 and anti-CCP (model A), and the combined model of SAA4, CRP, anti-CCP, RF and history of diabetes (model B). Both models showed a great area under the curve of ROC for either the training cohort or the validation cohort. The data indicated that the novel RA diagnostic models possessed an advantageous discrimination capacity and application potential. Conclusion Serum SAA4 has utility as a biomarker for RA’s diagnosis and can enhance the detection of RA when combined with anti-CCP.

scholarly journals A Logistic Regression Model for Noninvasive Prediction of AFP-Negative Hepatocellular Carcinoma

2019 ◽  
Vol 18 ◽  
pp. 153303381984663 ◽  
Author(s):  
Chang-Liang Luo ◽  
Yuan Rong ◽  
Hao Chen ◽  
Wu-Wen Zhang ◽  
Long Wu ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Hematological Parameters ◽  
Area Under The Curve ◽  
Diagnostic Efficiency ◽  
Healthy Individuals ◽  
Platelet Volume ◽  
Model Combining

α-Fetoprotein is commonly used in the diagnosis of hepatocellular carcinoma. However, the diagnostic significance of α-fetoprotein has been questioned because a number of patients with hepatocellular carcinoma are α-fetoprotein negative. It is therefore necessary to develop novel noninvasive techniques for the early diagnosis of hepatocellular carcinoma, particularly when α-fetoprotein level is low or negative. The current study aimed to evaluate the diagnostic efficiency of hematological parameters to determine which can act as surrogate markers in α-fetoprotein–negative hepatocellular carcinoma. Therefore, a retrospective study was conducted on a training set recruited from Zhongnan Hospital of Wuhan University—including 171 α-fetoprotein–negative patients with hepatocellular carcinoma and 102 healthy individuals. The results show that mean values of mean platelet volume, red blood cell distribution width, mean platelet volume–PC ratio, neutrophils–lymphocytes ratio, and platelet count–lymphocytes ratio were significantly higher in patients with hepatocellular carcinoma in comparison to the healthy individuals. Most of these parameters showed moderate area under the curve in α-fetoprotein–negative patients with hepatocellular carcinoma, but their sensitivities or specificities were not satisfactory enough. So, we built a logistic regression model combining multiple hematological parameters. This model presented better diagnostic efficiency with area under the curve of 0.922, sensitivity of 83.0%, and specificity of 93.1%. In addition, the 4 validation sets from different hospitals were used to validate the model. They all showed good area under the curve with satisfactory sensitivities or specificities. These data indicate that the logistic regression model combining multiple hematological parameters has better diagnostic efficiency, and they might be helpful for the early diagnosis for α-fetoprotein–negative hepatocellular carcinoma.

scholarly journals Biomarker Identification and Pathway Analysis by Serum Metabolomics of Lung Cancer

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Yingrong Chen ◽  
Zhihong Ma ◽  
Lishan Min ◽  
Hongwei Li ◽  
Bin Wang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Pathway Analysis ◽  
Area Under The Curve ◽  
Sphingolipid Metabolism ◽  
Cytokeratin 19 ◽  
Tumor Biomarker ◽  
Diagnostic Model ◽  
Roc Curve Analysis ◽  
Metabolic Alterations ◽  
Specificity And Sensitivity

Lung cancer is one of the most common causes of cancer death, for which no validated tumor biomarker is sufficiently accurate to be useful for diagnosis. Additionally, the metabolic alterations associated with the disease are unclear. In this study, we investigated the construction, interaction, and pathways of potential lung cancer biomarkers using metabolomics pathway analysis based on the Kyoto Encyclopedia of Genes and Genomes database and the Human Metabolome Database to identify the top altered pathways for analysis and visualization. We constructed a diagnostic model using potential serum biomarkers from patients with lung cancer. We assessed their specificity and sensitivity according to the area under the curve of the receiver operator characteristic (ROC) curves, which could be used to distinguish patients with lung cancer from normal subjects. The pathway analysis indicated that sphingolipid metabolism was the top altered pathway in lung cancer. ROC curve analysis indicated that glycerophospho-N-arachidonoyl ethanolamine (GpAEA) and sphingosine were potential sensitive and specific biomarkers for lung cancer diagnosis and prognosis. Compared with the traditional lung cancer diagnostic biomarkers carcinoembryonic antigen and cytokeratin 19 fragment, GpAEA and sphingosine were as good or more appropriate for detecting lung cancer. We report our identification of potential metabolic diagnostic and prognostic biomarkers of lung cancer and clarify the metabolic alterations in lung cancer.

scholarly journals Develop and validate a nomogram for predicting stroke inrheumatoidarthritis patients by electronic medical record data in northern China

2020 ◽  
Author(s):  
Fangran Xin ◽  
Bowen Yang ◽  
Lingyu Fu ◽  
Haina Liu ◽  
Tingting Wei ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Logistic Regression ◽  
Stroke Risk ◽  
Inflammatory Marker ◽  
Low Density Lipoprotein ◽  
Area Under The Curve ◽  
Density Lipoprotein ◽  
Northern China ◽  
Framingham Risk ◽  
Logistic Regression Algorithm

Abstract Background: to develop and validate a serum lipid and inflammatory marker model based on the nomogram for the prediction of stroke risk in rheumatoid arthritis patients.Methods: This study was conducted among 313 rheumatoid arthritis with stroke patients and 1827 rheumatoid arthritis patients divided into develop and validation cohorts from the First Affiliated Hospital of China Medical University during January 2011 to December 2018. Logistic regression analysis was used to create a nomogram of predictive model of stroke risk in rheumatoid arthritis patients, after comparing with other machine algorithms. The performance of the nomogram was evaluated by discrimination, calibration and decision curve analysis, also compared with the Framingham Risk Score in predicting stroke in rheumatoid arthritis patients.Results: the nomogram was performed by logistic regression algorithm, and predictors of which included the stratifications of sex, age, systolic blood pressure, C-reactive protein, erythrocyte sedimentation rate, total cholesterol, low density lipoprotein cholesterol and the distribution of being accompanied with hy-med, diabetes, atrial fibrillation and coronary heart disease history, which exhibited a well goodness fit and a good agreement. The analysis with area under the curve, the net reclassification index, the integrated discrimination improvement and clinical use, suggested that this is an easy-to-use nomogram compared with the Framingham Risk Score.Conclusion: This study presents a risk nomogram that incorporates the traditional risk factors, serum lipids and inflammatory markers which can be used to predict stroke in rheumatoid arthritis patients.

scholarly journals Diagnostic values of MMP-7, MMP-9, MMP-11, TIMP-1, TIMP-2, CEA, and CA19-9 in patients with colorectal cancer

2021 ◽  
Vol 49 (5) ◽  
pp. 030006052110125
Author(s):  
Xiwen Huang ◽  
Yongquan Lan ◽  
En Li ◽  
Jiaquan Li ◽  
Qiaoting Deng ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Area Under The Curve ◽  
Serum Levels ◽  
Diagnostic Value ◽  
Carbohydrate Antigen ◽  
Tissue Inhibitor Of Metalloproteinase ◽  
Enzyme Linked Immunosorbent Assay ◽  
Detection Model ◽  
Specificity And Sensitivity ◽  
Combined Detection

Objective Colorectal cancer (CRC) is one of the most common and lethal malignancies. The identification of precise and noninvasive biomarkers is urgently needed to aid the early diagnosis and clinical management of CRC. Methods A total of 112 patients with CRC and 115 healthy control subjects were included in this study. Serum levels of matrix metalloproteinase (MMP)-7, MMP-9, MMP-11, tissue inhibitor of metalloproteinase (TIMP)-1, and TIMP-2 were analyzed by enzyme-linked immunosorbent assay, and carcinoembryonic antigen (CEA) and carbohydrate antigen (CA)19-9 levels were measured using an automatic immunoassay analyzer. Results MMP-7, MMP-9, MMP-11, TIMP-1, TIMP-2, CEA, and CA19-9 levels were all significantly higher in CRC patients compared with healthy controls. MMP-7, TIMP-1, and CEA levels were also closely related to clinicopathologic features in patients with CRC. The combination of serum CEA, MMP-7, and TIMP-1 significantly improved the diagnostic value compared with any single marker (area under the curve 0.858–0.890). Furthermore, a combined detection model including MMP-7, TIMP-1, and CEA improved both the specificity and sensitivity for detecting CRC. Conclusions The results showed that combined detection of CEA, MMP-7, and TIMP-1 in serum could provide a specific and sensitive biomarker for the diagnosis of CRC.

scholarly journals Comparing the Performance of Two Radiomic Models to Predict Progression and Progression Speed of White Matter Hyperintensities

2021 ◽  
Vol 15 ◽  
Author(s):  
Yuan Shao ◽  
Jingru Ruan ◽  
Yuyun Xu ◽  
Zhenyu Shu ◽  
Xiaodong He
Keyword(s):  
White Matter ◽  
Rating Scale ◽  
Medical Center ◽  
External Validation ◽  
Area Under The Curve ◽  
Magnetic Resonance Images ◽  
White Matter Hyperintensity ◽  
Diagnostic Efficiency ◽  
Combined Model ◽  
Brain White Matter

Purpose: The aim of this study was to compare two radiomic models in predicting the progression of white matter hyperintensity (WMH) and the speed of progression from conventional magnetic resonance images.Methods: In this study, 232 people were retrospectively analyzed at Medical Center A (training and testing groups) and Medical Center B (external validation group). A visual rating scale was used to divide all patients into WMH progression and non-progression groups. Two regions of interest (ROIs)—ROI whole-brain white matter (WBWM) and ROI WMH penumbra (WMHp)—were segmented from the baseline image. For predicting WMH progression, logistic regression was applied to create radiomic models in the two ROIs. Then, age, sex, clinical course, vascular risk factors, and imaging factors were incorporated into a stepwise regression analysis to construct the combined diagnosis model. Finally, the presence of a correlation between radiomic findings and the speed of progression was analyzed.Results: The area under the curve (AUC) was higher for the WMHp-based radiomic model than the WBWM-based radiomic model in training, testing, and validation groups (0.791, 0.768, and 0.767 vs. 0.725, 0.693, and 0.691, respectively). The WBWM-based combined model was established by combining age, hypertension, and rad-score of the ROI WBWM. Also, the WMHp-based combined model is built by combining the age and rad-score of the ROI WMHp. Compared with the WBWM-based model (AUC = 0.779, 0.716, 0.673 in training, testing, and validation groups, respectively), the WMHp-based combined model has higher diagnostic efficiency and better generalization ability (AUC = 0.793, 0.774, 0.777 in training, testing, and validation groups, respectively). The speed of WMH progression was related to the rad-score from ROI WMHp (r = 0.49) but not from ROI WBWM.Conclusion: The heterogeneity of the penumbra could help identify the individuals at high risk of WMH progression and the rad-score of it was correlated with the speed of progression.

scholarly journals Anti-Müllerian hormone predictive levels to determine the likelihood of ovarian hyper-response in infertile women with polycystic ovarian morphology

2019 ◽  
Author(s):  
Azadeh Akbari Sene ◽  
Mahnaz Ashrafi ◽  
Nasim Alaghmand-Fard ◽  
Neda Mohammadi ◽  
Mona Mortezapour Alisaraie ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Clinical Signs ◽  
Area Under The Curve ◽  
Signs And Symptoms ◽  
Threshold Value ◽  
Serum Levels ◽  
Roc Curve Analysis ◽  
Moderation Effect ◽  
Infertile Women ◽  
Ovarian Morphology

Abstract Background: The objective of this study was to investigate how the serum levels of Anti-Müllerian hormone (AMH) in normal-ovulatory infertile women with polycystic ovarian morphology (PCOM) is associated with ovarian hyper-response? Methods: This prospective cohort study was carried out on 100 infertile women with PCOM who were treated by antagonist/agonist-triggered stimulation protocol in Shahid Akbar-Abadi Hospital IVF center, Tehran, Iran. Serum AMH levels were measured before starting the ART cycle and the ovarian hyper-response was evaluated by retrieved oocyte numbers, estradiol levels on triggering day and the incidence of OHSS clinical signs and symptoms. Logistic regression and the area under the curve (AUC) were used to estimate the effects of AMH and accuracy of test. Results: ROC curve analysis showed that AMH had a significant performance to predict ovarian hyper-response in PCOM patients (AUC = 0.73). The estimated threshold value was 4.95 ng/ml, specificity was 74.58% (95%CI: [50.85, 93.22]), and sensitivity was 73.17% (95%CI: [48.78, 92.68]). The results of logistic regression showed that there was a significant interaction between AMH and BMI (P = 0.008) so BMI had a moderation effect. In other words, the AMH cut-off values to predict the ovarian hyper-response were different for different BMI. Conclusions: Considering the AMH cut-offs for different BMI categories would be valuable to adapt a tailored, effective and safe stimulation program for infertile women with PCOM.

P26 Soluble programed cell death ligand-1 is associated with acute coronary syndrome

2020 ◽  
Vol 41 (Supplement_1) ◽  
Author(s):  
K Fujisue ◽  
E Yamamoto ◽  
D Sueta ◽  
M Takae ◽  
T Nishihara ◽  
...  
Keyword(s):  
Cell Death ◽  
Acute Coronary Syndrome ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Serum Level ◽  
Plaque Rupture ◽  
Density Lipoprotein ◽  
Serum Levels ◽  
Coronary Syndrome ◽  
Stable Cad

Abstract Background Immune checkpoint by programmed cell death (PD)-1 and its ligand (PD-L1) play crucial role in T cell tolerance toward vascular wall antigens. PD-L1 is widely expressed on a number of cells including immune cells and vascular endothelium. It was reported that increased expression of PD-L1 in dendritic cells implicates upregulated inflammation in atherosclerotic lesions that is associated with plaque instability. Although plaque rupture in coronary atherosclerosis is an important pathogenesis of acute coronary syndrome (ACS), the association between PD-L1 and ACS is still unknown. Purpose We hypothesize that circulating PD-L1 might be associated with ACS, reflecting endothelial damage and coronary plaque rupture. To elucidate this hypothesis, we compared serum levels of soluble PD-L1 (sPD-L1) in stable coronary artery disease (CAD) patients with those in ACS patients. Methods Serum levels of sPD-L1 were measured by using commercially available ELISA kit (Human PD-L1/B7-H1 DuoSet, R&D Systems) in consecutive patients with CAD admitted to our University Hospital from February 2016 to March 2017. Patients with any malignant disease or severe inflammatory disease were excluded from this study. Serum levels of sPD-L1 and clinical backgrounds were compared between stable-CAD and ACS patients. Results In total, 269 patients with CAD were enrolled (28 cases [10.4 %] with ACS and 241 cases [89.6 %] with stable-CAD). PD-L1 had no correlation to C-reactive protein, cardiac troponin, and classical atherosclerotic risks such as age, body mass index, estimated glomerular filtration rate, low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol, and hemoglobin A1c. Although age, sex, history of smoking, and the prevalences of hypertension, diabetes mellitus and dyslipidemia were comparable between both groups, the level of LDL-C was significantly higher in patients with ACS compared with those with stable-CAD (94.0 [77.0–112.0] mg/dL vs. 78.5 [65.0–97.0] mg/dL, P = 0.008). Also serum level of sPD-L1 was significantly increased in patients with ACS compared with those with stable-CAD (106.1 [60.9–157.7] pg/mL vs. 64.8 [30.9–102.5] pg/mL, P = 0.003). Univariate logistic regression analysis identified that serum levels of both sPD-L1 and LDL-C were independently associated with ACS. Moreover, multivariable logistic regression analysis with factors from univariate analysis identified that serum level of sPD-L1 was significantly and independently associated with ACS (odds ratio: 1.006, 95 % confidence interval: 1.001–1.012, P = 0.03). Conclusions This is the first study to elucidate that the increased serum levels of sPD-L1 was associated with ACS. This study suggests that sPD-L1 could be a risk marker and therapeutic target for ACS.

scholarly journals Clinical and laboratory data-based nomograms for neurosyphilis diagnosis in non-HIV syphilis patients: a cross-sectional study.

2020 ◽  
Author(s):  
Wenjing Ge ◽  
Yang Zhang ◽  
Chao Peng ◽  
Dongdong Li ◽  
Lijie Gao ◽  
...  
Keyword(s):  
Psychiatric Symptoms ◽  
Laboratory Data ◽  
Cross Sectional Study ◽  
Western China ◽  
Diagnostic Model ◽  
Sectional Study ◽  
Combined Model ◽  
Cross Sectional ◽  
Basic Model ◽  
Diagnostic Models

Abstract Background: The diagnosis of neurosyphilis (NS) is challenging due to the requirement of lumbar puncture and time-consuming cerebrospinal fluid tests. Therefore, a convenient high-accuracy diagnostic nomogram for NS is warranted. Methods: This cross-sectional study (108 patients) aimed to construct diagnostic models for diagnosing NS with data gathered between September 2015 and January 2020 at Western China Hospital of Sichuan University. We constructed two types of diagnostic models using 108 training samples: 1) symptoms and toluidine red unheated serum test (TRUST) (basic model) and 2) the combined model of symptoms, serum TRUST, and findings of CSF routine tests including CSF protein concentration and CSF glucose concentration (combined model). The clinical usefulness of the diagnostic models was assessed through the comparison of a receiver operating characteristic (ROC) and decision curve analysis (DCA), which adopted bootstrap resampling 500 times. Results: A total of 108 patients were analysed (82% males, mean age: 46 years). Of those, 76 were diagnosed as having reactive neurosyphilis under the criteria of positive results in both CSF treponemal and non-treponemal tests. Psychiatric symptoms and serum TRUST were the strongest diagnostic indicators in serum. A diagnostic model was constructed to readily provide the probability of diagnosis at point of care and presented as two nomograms. The basic model reached 79% specificity, 74% sensitivity and 0.82 Area Under the Curves (AUC) (95% CI, 0.72-091), while the combined model showed 82% specificity, 90% sensitivity and 0.88 AUC (95% CI, 0.80-0.94). The integrated discrimination improvement(IDI) index was 0.05 in comparison of two models. Conclusions: A convenient model using serum TRUST titre and presence of psychiatric symptoms was developed to indicate diagnostic results in patients suspected of NS. Two simple nomograms can be offered to clinicians to facilitate their assessment of patient diagnosis, strengthen the diagnostic decision making, enhance patient stratification, and inform patients in the clinic. Trial registration: This research was retrospectively registered in Ethics committee on biomedical research, West China Hospital of Sichuan University.

scholarly journals Diagnosis of Subclinical Keratoconus with a Combined Model of Biomechanical and Topographic Parameters

2021 ◽  
Vol 10 (13) ◽  
pp. 2746
Author(s):  
Antonio Pérez-Rueda ◽  
Diana Jiménez-Rodríguez ◽  
Gracia Castro-Luna
Keyword(s):  
Operating Characteristic ◽  
Area Under The Curve ◽  
Cross Sectional Study ◽  
Diagnostic Model ◽  
Slit Lamp ◽  
Sectional Study ◽  
Combined Model ◽  
Cross Sectional ◽  
Slit Lamp Examination ◽  
Topographic Parameters

This study sought to develop a diagnostic model with aberrometry and biomechanical variables for subclinical keratoconus. The design was a cross-sectional study. The topographic data were obtained with a rotating Scheimpflug camera (Pentacam HR), and biomechanical data were obtained with Corvis ST. The study included 81 eyes distributed in 61 healthy corneas and 20 subclinical keratoconus (SCKC), defined as eyes with suspicious topographic findings, normal slit-lamp examination, and a manifestation of keratoconus. Analyses of the topographic and biomechanical data were performed, and a classifying model of SCKC was elaborated. The model for the diagnosis of SCKC includes posterior coma to 90°, Ambrósio’s Relational Thickness in the horizontal profile (ARTh), and velocity when the air pulse is off (A2 velocity). The sensitivity was 89.5%, specificity 96.7%, accuracy 94.9%, and precision 89.5%. The area under the curve (AUC) of the receiver operating characteristic (ROC) curve for the model was 0.951. Diagnosis of subclinical keratoconus depends on the aberrometry variable posterior coma to 90° and the biomechanical variables A2 velocity and ARTh.

A randomized cross-over trial in patients suspected of PAD on diagnostic accuracy of ankle-brachial index by Doppler-based versus four-point oscillometry based measurements

VASA ◽  
2019 ◽  
Vol 48 (6) ◽  
pp. 516-522 ◽  
Author(s):  
Verena Mayr ◽  
Mirko Hirschl ◽  
Peter Klein-Weigel ◽  
Luka Girardi ◽  
Michael Kundi
Keyword(s):  
Diagnostic Accuracy ◽  
Ankle Brachial Index ◽  
Area Under The Curve ◽  
High Volume ◽  
Epidemiologic Studies ◽  
Lower Sensitivity ◽  
Oscillometric Device ◽  
Specificity And Sensitivity ◽  
Time Requirements ◽  
Peripheral Arterial

Summary. Background: For diagnosis of peripheral arterial occlusive disease (PAD), a Doppler-based ankle-brachial-index (dABI) is recommended as the first non-invasive measurement. Due to limitations of dABI, oscillometry might be used as an alternative. The aim of our study was to investigate whether a semi-automatic, four-point oscillometric device provides comparable diagnostic accuracy. Furthermore, time requirements and patient preferences were evaluated. Patients and methods: 286 patients were recruited for the study; 140 without and 146 with PAD. The Doppler-based (dABI) and oscillometric (oABI and pulse wave index – PWI) measurements were performed on the same day in a randomized cross-over design. Specificity and sensitivity against verified PAD diagnosis were computed and compared by McNemar tests. ROC analyses were performed and areas under the curve were compared by non-parametric methods. Results: oABI had significantly lower sensitivity (65.8%, 95% CI: 59.2%–71.9%) compared to dABI (87.3%, CI: 81.9–91.3%) but significantly higher specificity (79.7%, 74.7–83.9% vs. 67.0%, 61.3–72.2%). PWI had a comparable sensitivity to dABI. The combination of oABI and PWI had the highest sensitivity (88.8%, 85.7–91.4%). ROC analysis revealed that PWI had the largest area under the curve, but no significant differences between oABI and dABI were observed. Time requirement for oABI was significantly shorter by about 5 min and significantly more patients would prefer oABI for future testing. Conclusions: Semi-automatic oABI measurements using the AngER-device provide comparable diagnostic results to the conventional Doppler method while PWI performed best. The time saved by oscillometry could be important, especially in high volume centers and epidemiologic studies.

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