Largest Area Under The ROC Curve Research Articles

Advanced gastrointestinal stromal tumor: reliable classification of imatinib plasma trough concentration via machine learning

AimPatients with advanced gastrointestinal stromal tumors (GISTs) exhibiting an imatinib plasma trough concentration (IM Cmin) under 1100 ng/ml may show a reduced drug response rate, leading to the suggestion of monitoring for IM Cmin. Consequently, the objective of this research was to create a customized IM Cmin classification model for patients with advanced GISTs from China.MethodsInitial data and laboratory indicators from patients with advanced GISTs were gathered, and the above information was segmented into a training set, validation set, and testing set in a 6:2:2 ratio. Key variables associated with IM Cmin were identified to construct the classification model using the least absolute shrinkage and selection operator (LASSO) regression and forward stepwise binary logistic regression. Within the training and validation sets, nine ML classification models were constructed via the resampling method and underwent comparison through the Brier scores, the areas under the receiver-operating characteristic curve (AUROC), the decision curve, and the precision-recall (AUPR) curve to determine the most suitable model for this dataset. Two methods of internal validation were used to assess the most suitable model's classification performance: tenfold cross-validation and random split-sample validation (test set), and the value of the test set AUROC was used to evaluate the model's classification performance.ResultsSix key variables (gender, daily IM dose, metastatic site, red blood cell count, platelet count, and percentage of neutrophils) were ultimately selected to construct the classification model. In the validation set, it is found by comparison that the Extreme Gradient Boosting (XGBoost) model has the largest AUROC, the lowest Brier score, the largest area under the decision curve, and the largest AUPR value. Furthermore, as evaluated via internal verification, it also performed well in the test set (AUROC = 0.725).ConclusionFor patients with advanced GISTs who receive IM, initial data and laboratory indicators could be used to accurately estimate whether the IM Cmin is below 1100 ng/ml. The XGBoost model may stand a chance to assist clinicians in directing the administration of IM.

Comparison of seven surrogate insulin resistance indexes for prediction of incident coronary heart disease risk: a 10-year prospective cohort study.

There were seven novel and easily accessed insulin resistance (IR) surrogates established, including the Chinese visceral adiposity index (CVAI), the visceral adiposity index (VAI), lipid accumulation product (LAP), triglyceride glucose (TyG) index, TyG-body mass index (TyG-BMI), TyG-waist circumference (TyG-WC) and TyG-waist to height ratio (TyG-WHtR). We aimed to explore the association between the seven IR surrogates and incident coronary heart disease (CHD), and to compare their predictive powers among Chinese population. This is a 10-year prospective cohort study conducted in China including 6393 participants without cardiovascular disease (CVD) at baseline. We developed Cox regression analyses to examine the association of IR surrogates with CHD (hazard ratio [HR], 95% confidence intervals [CI]). Moreover, the receiver operating characteristic (ROC) curve was performed to compare the predictive values of these indexes for incident CHD by the areas under the ROC curve (AUC). During a median follow-up period of 10.25 years, 246 individuals newly developed CHD. Significant associations of the IR surrogates (excepted for VAI) with incident CHD were found in our study after fully adjustment, and the fifth quintile HRs (95% CIs) for incident CHD were respectively 2.055(1.216-3.473), 1.446(0.948-2.205), 1.753(1.099-2.795), 2.013(1.214-3.339), 3.169(1.926-5.214), 2.275(1.391-3.719) and 2.309(1.419-3.759) for CVAI, VAI, LAP, TyG, TyG-BMI, TyG-WC and TyG-WHtR, compared with quintile 1. Furthermore, CVAI showed maximum predictive capacity for CHD among these seven IR surrogates with the largest AUC: 0.632(0.597,0.667). The seven IR surrogates (excepted for VAI) were independently associated with higher prevalence of CHD, among which CVAI is the most powerful predictor for CHD incidence in Chinese populations.

Predictive value of platelet-related parameters combined with pneumonia severity index score for mortality rate of patients with severe pneumonia.

To analyse the predictive value of platelet-related parameters combined with pneumonia severity index (PSI) score for the mortality rate of patients with severe pneumonia. The clinical data of 428 severe pneumonia patients were retrospectively analysed. They were divided into survivor and death groups according to 28-day prognosis. Platelet-related parameters platelet count (PLT), mean platelet volume (MPV), platelet-large-cell ratio (P-LCR) and platelet distribution width (PDW) were measured within 24 hours after admission. The receiver operating characteristic (ROC) curves were plotted. The areas under the ROC curves (AUC) were used to describe the predictive efficiencies of platelet-related parameters, PSI score and their combination for death within 28 days. On the 28th day, there were 184 deaths and 244 survivors, and the deaths had significantly higher PLT and PSI score but lower PDW, MPV and P-LCR than those of the survivors (P<0.05). The combination of platelet-related parameters and PSI score had the highest sensitivity (96.56%) and specificity (99.34%) and the largest AUC (0.902) for predicting 28-day mortality. PLT, PDW, MPV and P-LCR are significantly abnormal in patients with severe pneumonia, and the combination of platelet-related parameters with PSI score has the highest predictive value for 28-day mortality.

Differential diagnosis of adrenal adenomas and metastases using spectral parameters in dual-layer detector spectral CT

ObjectiveTo assess the diagnostic value of spectral parameters in differentiating adrenal adenomas from metastases based on dual-layer detector spectral CT (DLSCT).Materials and methodsPatients with adenomas or metastases who underwent enhanced DLSCT of the adrenals were enrolled. The CT values of virtual non-contrast images (CTVNC), iodine density (ID) values, and Z-effective (Z-eff) values, the normalized iodine density (NID) values, slopes of spectral HU curves (s-SHC), and iodine-to-CTVNC ratios of the tumors were measured in each phase. Receiver operating characteristic (ROC) curves were used to compare the diagnostic values.ResultsNinety-nine patients with 106 adrenal lesions (63 adenomas, 43 metastases) were included. In the venous phase, all spectral parameters were significantly different between adenomas and metastases (all p < 0.05). The combined spectral parameters showed a better diagnostic performance in the venous phase than in other phase (p < 0.05). The iodine-to-CTVNC value had a larger area under the ROC curve (AUC) than the other spectral parameters in the differential diagnosis of adenomas and metastases, with a diagnostic sensitivity and specificity of 74.4% and 91.9%, respectively. In the differential diagnosis of lipid-rich adenomas, lipid-poor adenomas and metastases, the CTVNC value and s-SHC value also had a larger AUC than the other spectral parameters, with a diagnostic sensitivity of 97.7%, 79.1% and specificity of 91.2%, 93.1%, respectively.ConclusionOn DLSCT, the combined spectral parameters in the venous phase could help better distinguish adrenal adenomas from metastases. The iodine-to-CTVNC, CTVNC and s-SHC values had the highest AUC values in differentiating adenomas, lipid-rich adenomas and lipid-poor adenomas from metastases, respectively.

Macular Perfusion Deficits on OCT Angiography Correlate with Nonperfusion on Ultrawide-field Fluorescein Angiography in Diabetic Retinopathy

To evaluate the correlation between nonperfusion parameters on OCT angiography (OCTA) and ultrawide-field fluorescein angiography (UWF-FA) in subjects with diabetes mellitus (DM). Prospective, cross-sectional study. Subjects with DM and a wide range of diabetic retinopathy (DR) severity seen at a tertiary referral center. We used averaged 3× 3 mm OCTA scans to measure geometric perfusion deficit (GPD), vessel density, and vessel length density in the full retina, superficial capillary plexuses (SCPs), and deep capillary plexuses (DCPs). Nonperfusion was manually delineated on UWF-FA to quantify central, peripheral, and total retinal nonperfusion (mm2 and % area). Correlation between OCTA parameters and UWF-FA nonperfusion, and accuracy of these OCTA and UWF-FA parameters in detecting clinically referable eyes, using receiver operating characteristic (ROC) curve analysis, sensitivity, specificity, and area under the ROC curve (AUC). The study included 67 eyes (12 eyes with no signs of DR, 8 mild, 22 moderate, 14 severe nonproliferative DR, and 11 treatment-naive proliferative DR). There was a fair-to-moderate correlation between either central or total retinal nonperfusion on UWF-FA (mm2) and GPD in the SCP (r= 0.482 and r= 0.464, respectively) and DCP (r= 0.470 and r= 0.456, respectively). Receiver operating characteristic analysis showed the DCP GPD significantly superior to other OCTA parameters at the DCP with the largest overall AUC on OCTA for distinguishing referable DR (0.905). Furthermore, the GPD parameter had the largest AUC in each respective capillary layer compared with other parameters. Overall, the total UWF-FA nonperfusion area showed a comparable AUC (0.907) and performed significantly better than peripheral nonperfusion (P= 0.041). Comparing the AUC values between GPD and UWF-FA nonperfusion parameters showed no significant difference in discerning referable DR. Nonperfusion as quantified on OCTA (3× 3 mm) correlated with UWF-FA parameters and both were comparable in detecting referable DR. These macular OCTA metrics, particularly DCP GPD, have the potential for gauging the overall ischemic status of the retina, with an important clinical role in identifying eyes with clinically referable DR. Proprietary or commercial disclosure may be found after the references.

Development and validation of an ensemble machine-learning model for predicting early mortality among patients with bone metastases of hepatocellular carcinoma.

Using an ensemble machine learning technique that incorporates the results of multiple machine learning algorithms, the study's objective is to build a reliable model to predict the early mortality among hepatocellular carcinoma (HCC) patients with bone metastases. We extracted a cohort of 124,770 patients with a diagnosis of hepatocellular carcinoma from the Surveillance, Epidemiology, and End Results (SEER) program and enrolled a cohort of 1897 patients who were diagnosed as having bone metastases. Patients with a survival time of 3 months or less were considered to have had early death. To compare patients with and without early mortality, subgroup analysis was used. Patients were randomly divided into two groups: a training cohort (n = 1509, 80%) and an internal testing cohort (n = 388, 20%). In the training cohort, five machine learning techniques were employed to train and optimize models for predicting early mortality, and an ensemble machine learning technique was used to generate risk probability in a way of soft voting, and it was able to combine the results from the multiply machine learning algorithms. The study employed both internal and external validations, and the key performance indicators included the area under the receiver operating characteristic curve (AUROC), Brier score, and calibration curve. Patients from two tertiary hospitals were chosen as the external testing cohorts (n = 98). Feature importance and reclassification were both operated in the study. The early mortality was 55.5% (1052/1897). Eleven clinical characteristics were included as input features of machine learning models: sex (p = 0.019), marital status (p = 0.004), tumor stage (p = 0.025), node stage (p = 0.001), fibrosis score (p = 0.040), AFP level (p = 0.032), tumor size (p = 0.001), lung metastases (p < 0.001), cancer-directed surgery (p < 0.001), radiation (p < 0.001), and chemotherapy (p < 0.001). Application of the ensemble model in the internal testing population yielded an AUROC of 0.779 (95% confidence interval [CI]: 0.727-0.820), which was the largest AUROC among all models. Additionally, the ensemble model (0.191) outperformed the other five machine learning models in terms of Brier score. In terms of decision curves, the ensemble model also showed favorable clinical usefulness. External validation showed similar results; with an AUROC of 0.764 and Brier score of 0.195, the prediction performance was further improved after revision of the model. Feature importance demonstrated that the top three most crucial features were chemotherapy, radiation, and lung metastases based on the ensemble model. Reclassification of patients revealed a substantial difference in the two risk groups' actual probabilities of early mortality (74.38% vs. 31.35%, p < 0.001). Patients in the high-risk group had significantly shorter survival time than patients in the low-risk group (p < 0.001), according to the Kaplan-Meier survival curve. The ensemble machine learning model exhibits promising prediction performance for early mortality among HCC patients with bone metastases. With the aid of routinely accessible clinical characteristics, this model can be a trustworthy prognostic tool to predict the early death of those patients and facilitate clinical decision-making.

QSOFA predicted pneumonia mortality better than minor criteria and worse than CURB-65 with robust elements and higher convergence.

Limited data are available on the discriminatory capacity of quick sequential [sepsis-related] organ failure assessment (qSOFA) versus IDSA/ATS minor criteria for predicting mortality in patients with community-acquired pneumonia (CAP). An observational prospective cohort study of 2116 patients with CAP was performed. Construct validity was determined using Cronbach α. Discrimination was assessed using the area under the receiver operating characteristic curve (AUROC) and net reclassification improvement (NRI). Overall in-hospital mortality was 6.43%. Mortality was 25.96% for patients with a qSOFA score of 2 or higher versus 3.05% for those with a qSOFA score less than 2 (odds ratio for mortality 6.57, P<0.0001), and 13.85% for patients with at least 3 minor criteria versus 2.03% for those with 2 or fewer minor criteria (odds ratio for mortality 2.27, P<0.0001). qSOFA had a higher correlation with mortality than minor criteria, as well as higher internal consistency (Cronbach alpha 0.43 versus 0.14) and diagnostic values of individual elements (larger AUROCs and higher Youden's indices). qSOFA ≥2 was less sensitive but more specific for predicting mortality than ≥3 minor criteria (qSOFA sensitivity 59.6%, specificity 88.3% and positive likelihood ratio 5.11 versus ≥3 minor criteria sensitivity 80.1%, specificity 65.8% and positive likelihood ratio 2.34). The predictive validity of qSOFA was good for mortality (AUROC=0.868), was statistically greater than minor criteria, was equal to pneumonia severity index, and was inferior compared with CURB-65 (AUROC, 0.824, 0.902, 0.919; NRI, 0.088, -0.068, -0.103; respectively). The qSOFA predicted mortality in CAP better than IDSA/ATS minor criteria and worse than CURB-65 with robust elements and higher convergence. qSOFA as a bedside prompt might be positioned as a proxy for minor criteria and increase the recognition and thus merit more appropriate management of CAP patients likely to fare poorly, which might have implications for more accurate clinical triage decisions.

Intravoxel incoherent motion diffusion-weighted imaging to differentiate hepatocellular carcinoma from intrahepatic cholangiocarcinoma

The present study aimed to explore the value of intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) in differentiating hepatocellular carcinoma (HCC) from intrahepatic cholangiocarcinoma (ICC). This study included 65 patients with malignant hepatic nodules (55 with HCC, 10 with ICC), and 17 control patients with normal livers. All patients underwent IVIM-DWI scans on a 3.0 T magnetic resonance imaging (MRI) scanner. The standard apparent diffusion coefficient (ADC), pure diffusion coefficient (Dslow), pseudo-diffusion coefficient (Dfast), and perfusion fraction (f) were obtained. Differences in the parameters among the groups were analysed using one-way ANOVA, with p < 0.05 indicating statistical significance. Receiver operating characteristic (ROC) curve analysis was used to compare the efficacy of each parameter in differentiating HCC from ICC. ADC, Dslow, Dfast, f significantly differed among the three groups. ADC and Dslow were significantly lower in the HCC group than in the ICC group, while Dfast was significantly higher in the HCC group than in the ICC group; f did not significantly differ between the HCC and ICC groups. When the cut-off values of ADC, Dslow, and Dfast were 1.27 × 10−3 mm2/s, 0.81 × 10−3 mm2/s, and 26.04 × 10−3 mm2/s, respectively, their diagnostic sensitivities for differentiating HCC from ICC were 98.18%, 58.18%, and 94.55%, their diagnostic specificities were 50.00%, 80.00%, and 80.00%, and their areas under the ROC curve (AUCs) were 0.687, 0.721, and 0.896, respectively. Dfast displayed the largest AUC value. IVIM-DWI can be used to differentiate HCC from ICC.

Lactic acid, lactate clearance and procalcitonin in assessing the severity and predicting prognosis in sepsis

To explore the value of lactic acid (Lac), lactate clearance (LCR) and procalcitonin (PCT) in assessing the severity and predicting the prognosis in sepsis. 18-80-year-old patients with sepsis admitted to the department of critical care medicine of Beijing Friendship Hospital, Capital Medical University from April 2009 to December 2019 were enrolled. The gender, age, basic illness, infection site, organ function, acute physiology and chronic health evaluation II (APACHE II), sequential organ failure assessment (SOFA), Lac and PCT were collected on admission to intensive care unit (ICU), as well as Lac after 24 hours, 24-hour LCR, and 28-day prognosis. The patients were divided into sepsis group and septic shock group according to Sepsis-3 criteria. According to the 28-day prognosis, the septic shock patients were divided into survival group and death group, and the differences of each index between the two groups were compared. Multivariate Logistic regression was used to analyze the risk factors of death in septic shock patients. The receiver operating characteristic (ROC) curve was used to analyze the role of Lac, LCR, PCT, SOFA score and APACHE II score in predicting prognosis of the patients with septic shock. A total of 998 patients with sepsis were enrolled, including 642 males and 356 females; with (59.56±13.22) years old. There were 478 patients with septic shock, among which 180 died and 298 survived during the 28-day observation. (1) Compared with the sepsis group, the age of the sepsis shock group was significantly higher (years old: 60.49±12.31 vs. 58.72±13.97), APACHE II score, SOFA score, Lac, PCT and 24 h Lac increased [APACHE II: 24.57±7.04 vs. 19.37±6.93, SOFA: 7.78±3.31 vs. 4.38±3.42, Lac (mmol/L): 3.00 (1.70, 5.00) vs. 1.40 (1.00, 2.30), PCT (μg/L): 0.05 (0.00, 4.00) vs. 0.00 (0.00, 1.10), 24-hour Lac (mmol/L): 2.60 (1.60, 4.40) vs. 1.40 (1.00, 2.20)], and the 28-day mortality was significantly higher [41.63% (199/478) vs. 19.42% (101/520)], with significant statistic differences (all P < 0.05). (2) Compared with the survival group, APACHE II score, SOFA score, Lac, 24-hour Lac significantly increased in the septic shock death group, and 24-hour LCR decreased [APACHE II: 26.19±6.52 vs. 22.25±6.07, SOFA: 9.07±2.90 vs. 7.50±3.10, Lac (mmol/L): 3.80 (2.50, 5.10) vs. 2.80 (2.00, 3.90), 24-hour Lac (mmol/L): 3.20 (2.20, 5.60) vs. 2.10 (1.60, 3.30), 24-hour LCR: 1.43 (-37.50, 30.77)% vs. 16.67 (0.00, 33.98)%, all P < 0.05]. In assessment of organ function, central venous pressure (CVP) and oxygenation index (PaO2/FiO2) were lower in death group [CVP (mmHg; 1 mmHg = 0.133 kPa): 5.00 (2.00, 8.00) vs. 6.00 (2.00, 9.00), PaO2/FiO2 (mmHg): 184.21±84.57 vs. 199.20±86.98], alanine aminotransferase (ALT) and serum creatinine (SCr) increased [ALT (U/L): 376.56±41.43 vs. 104.17±14.10, SCr (μmol/L): 213.53±8.06 vs. 181.91±5.03], with significant statistic differences (all P < 0.05). (3) Multivariate Logistic regression analysis showed that PaO2/FiO2, SCr, Lac and SOFA were independent risk factors of prognosis in septic shock [PaO2/FiO2: odds ratio (OR) = 0.997, 95% confidence interval (95%CI) was 0.996-0.999, P = 0.001; SCr: OR = 1.001, 95%CI was 1.000-1.002, P = 0.041; Lac: OR = 0.925, 95%CI was 0.871-0.982, P = 0.011; SOFA: OR = 1.178, 95%CI was 1.110-1.251, P = 0.000]. ROC curve analysis showed that SOFA, SOFA+APACHE II, Lac+24-hour LCR+PCT+SOFA+APACHE II could predict mortality in septic shock patients, and the area under the ROC curve (AUC) was 0.769 (95%CI was 0.740-0.798), 0.787 (95%CI was 0.759-0.815), 0.800 (95%CI was 0.773-0.827), respectively. The joint of the five indicators, Lac, 24-hour LCR, PCT, SOFA and APACHE II has the largest AUC. Lac is an independent risk factor for death in patients with septic shock, however, the prognosis cannot be predicted. Comprehensive analysis of LCR, PCT, SOFA, APACHE II and the clinical organ functions are required for analysis.

Platelet and Red Blood Cell Indices in Patients with Panic Disorder: A Receiver Operating Characteristic Analysis.

Objective Panic disorder (PD) is associated with changes in platelet and red blood cell (RBC) indices. However, the diagnostic or predictive value of these indices is unknown. This study assessed the diagnostic and discriminating value of platelet and RBC indices in patients with PD. Materials and Methods In this cross-sectional study including patients with PD ( n = 98) and healthy controls ( n = 102), we compared the following blood indices: mean platelet volume (MPV), platelet distribution width (PDW), and RBC distribution width (RDW). The receiver operating characteristic (ROC) curve was used to calculate the area under the ROC curve (AUC), sensitivity, specificity, and likelihood ratio for the platelet and RBC indices. Results Statistically significant increase in PDW (17.01 ± 0.91 vs. 14.8 ± 2.06; p < 0.0001) and RDW (16.56 ± 2.32 vs. 15.12 ± 2.43; p < 0.0001) levels were observed in patients with PD. PDW and mean corpuscular hemoglobin concentration had larger AUC (0.89 and 0.74, respectively) and Youden’s index (0.65 and 0.39, respectively), indicating their higher predictive capacity as well as higher sensitivity in discriminating patients with PD from healthy controls. Conclusion PDW can be considered a “good” diagnostic or predictive marker in patients with PD.

Single and Combined Use of Preoperative Inflammatory Biomarkers and CA199 in Diagnosing Pancreatic Cancer.

To determine the diagnostic value of preoperative inflammatory biomarkers and CA199, alone or in combination, in diagnosing pancreatic cancer (PCC). This retrospective study was comprised of 75 PCC patients and 83 healthy controls (HC). The participant's medical data was mined from the electronic records of the First Affiliated Hospital of Guangxi Medical University. The data included the preoperative circulating albumin/fibrinogen ratio (AFR), the platelet/lymphocyte ratio (PLR), the lymphocyte/monocyte ratio (LMR), the neutrophil/lymphocyte ratio (NLR), and the derived NLR (dNLR). The receiver operating characteristic (ROC) curve and the area under the ROC curve (AUROC) were used to evaluate the diagnostic efficacy of these candidate biomarkers for PCC. A single AFR significantly distinguished PCC from the healthy controls (AUROC: 0.903, 95% CI: 0.846 - 0.945) and had a significantly higher sensitivity and larger AUROC than CA199 (AUROC: 0.814, 95% CI: 0.774 - 0.871). The combinations of AFR with CA199 (AUROC: 0.932, 95% CI: 0.881 - 0.966), RDW with CA199 (AUROC: 0.905, 95% CI: 0.849 - 0.946), Alb with CA199 (AUROC: 0.869, 95% CI: 0.806 - 0.917), and Fib with CA199 (AUROC: 0.921, 95% CI: 0.868 - 0.958) also yielded higher sensitivities and larger AUROCs than CA199 alone. Circulating AFR was an effective biomarker in diagnosing PCC. Combining AFR, RDW, Alb, and Fib with CA199 could improve the diagnostic efficacy for PCC.

Screening indices and their cut-off values for full-term neonates carrying β-thalassemia gene

To investigate the screening indices and their cut-off values for full-term neonates carrying β-thalassemia gene. A retrospective analysis was performed for the clinical data of 1 193 full-term neonates who underwent β-thalassemia screening (hemoglobin analysis with dried blood spots on neonatal heel blood filter paper and mutation detection of 17 β-globin genes). A multivariate logistic regression analysis was used to investigate the association between screening indices and β-thalassemia gene, and the receiver operating characteristic (ROC) curve was used to analyze the value of screening indices in determining the presence or absence of β-thalassemia gene. Of the 1 193 neonates, 638 carried β-thalassemia gene. Of the 1 193 neonates, 637 (53.39%) had no HbA2, among whom 310 carried β-thalassemia gene and 327 did not carry this gene; 556 (46.61%) had HbA2, among whom 328 carried β-thalassemia gene and 228 did not carry this gene. As for the neonates without HbA2, the β-thalassemia gene group had a significantly lower HbA level and a significantly higher HbF level than the β-thalassemia gene-negative group (P<0.01). As for the neonates with HbA2, the β-thalassemia gene group had a significantly lower HbA level and significantly higher HbF and HbA2/HbA ratio than the β-thalassemia gene-negative group (P<0.01). In the neonates without HbA2, HbA, gestational age, and HbA combined with gestational age had an area under the ROC curve (AUC) of 0.865, 0.515, and 0.870, respectively, in determining the presence or absence of β-thalassemia gene (P<0.01), and HbA and HbA combined with gestational age had a similar AUC and a certain diagnostic value. In the neonates with HbA2, HbA, HbA2/HbA ratio, and HbA combined with HbA2/HbA ratio had an AUC of 0.943, 0.885, and 0.978, respectively, in determining the presence or absence of β-thalassemia gene. The HbA combined with HbA2/HbA ratio had the largest AUC. In the neonates without HbA2, HbA had the largest AUC in determining the presence or absence of β-thalassemia gene at the cut-off value of 11.6%, with a sensitivity of 85.81% and a specificity of 79.82%. In the neonates with HbA2, an HbA of 16.1%-22.0% and an HbA2/HbA ratio of >1.4 had the largest AUC in determining the presence or absence of β-thalassemia gene, with a sensitivity of 91.38% and a specificity of 91.89%. HbA and HbA2/HbA ratio are effective indices for screening out full-term neonates carrying β-thalassemia gene.

Contrast and spatial frequency modulation for diagnosis of amblyopia: An electrophysiological approach

PurposeTo evaluate the diagnostic value of visual evoked potentials (VEPs) and to find out which test setting has the most sensitivity and specificity for amblyopia diagnosis. MethodsThirty-three adult anisometropic amblyopes were intended in this study and were tested for visual evoked potentials with different stimulus conditions including three spatial frequencies [1, 2, and 4-cycles-per-degree (cpd)] at four contrast levels (100, 50, 25, and 5%). We also tested psychophysical contrast sensitivity and compared the results with electrophysiological ones. We plotted Receiver Operating Characteristic (ROC) curve for each VEP recording and psychophysical contrast sensitivity to evaluate the area under the curve, sensitivity, specificity, and cut-point value of each test stimulus for detecting amblyopic eyes. ResultsThirty-three amblyopic and 33 non-amblyopic eyes were examined for psychophysical contrast sensitivity and VEPs. Area under the ROC curve (AURC) findings showed that VEP with different stimulus settings can significantly detect amblyopic eyes, as well as psychophysical contrast sensitivity test. We found that P100 amplitudes had the largest AURC in response to stimuli of 2-cpd spatial frequency at 50 (P < 0.001) and 25% (P < 0.001) contrast levels, respectively. Cut-off amplitudes for these stimuli were 8.65 and 4.50 μV, which had a sensitivity of 0.758 and 0.697 and a specificity of 0.788 and 0.848, respectively. The sensitivity and specificity of VEP P100 amplitude in response to the stimuli with 2 cpd spatial frequency and 50 and 25% contrast were greater than the findings obtained from psychophysical contrast sensitivity test. ConclusionAccording to our findings, assessment of VEP amplitudes in response to stimuli of 2-cpd spatial frequency at 50 and 25% contrast levels can best detect amblyopia with highest sensitivity and specificity and thus, are the protocols of choice for detection of amblyopic eyes.

The comparative analysis of two different ultrasoud elastography in the differential diagnosis of benign and malignant liver tumors

Objective To compare the diagnostic performances of real time of shear wave elastography (SWE) and strain ratio (SR) in differentiating benign and malignant liver tumors. Methods From March 2017 to August 2017, 68 patients with 70 lesions were examined with SR and SWE respectively, the parameters of SWE were maximum real-time shear wave velocity (Vmax), average real-time shear wave velocity (Vmean) and real-time shear wave velocity elasticity ratio of lesion/peripheral liver tissue (Vratio). The receiver operating characteristic (ROC) curve of SWE and SR parameters were plotted to assess the value in distinguishing benign and malignant liver tumors. The results were compared using the area under the ROC curve (AUC). The sensitivity, specificity, accuracy of SWE and SR were calculated, The accuracy of the parameters with the largest AUC were compared between SWE and SR by McNemar test in differentiating focal liver lesions. Results The AUC of SR, Vmax, Vmean and Vratio were 0.948, 0.868, 0.918 and 0.956 respectively. The comparison of AUC reveals no significant difference between them. The sensitivity, specificity, accuracy of SR in differentiating benign and malignant liver tumors were 92.73%, 93.33%, 92.86% respectively (P>0.05). The SWE parameter with the largest AUC was Vratio. The sensitivity, specificity, accuracy of Vratio was 94.56%, 100.00%, 95.71%, respectively. The accuracy of Vratio and SR in differentiating benign and malignant liver tumors showed no significant difference (P>0.05). Conclusions The application of SWE and SR in the differential diagnosis of benign and malignant liver tumors is of high diagnostic value. They provide a new method for the differential diagnosis of liver tumor lesions, and the diagnostic value of both of them is equivalent. Key words: Liver neoplasms/US; Elasticity imaging techniques; Diagnosis, differential

The disc damage likelihood scale: Diagnostic accuracy and correlations with cup-to-disc ratio, structural tests and standard automated perimetry.

Our objective was to compare the diagnostic accuracies of and to determine the correlations between the disc damage likelihood scale (DDLS) and anatomical and functional tests used for glaucoma detection. A total of 54 healthy subjects (54 eyes) and 47 primary open-angle glaucoma patients (47 eyes) were included in this cross-sectional observational study. DDLS scores and cup-to-disc (C/D) ratios were evaluated. Subjects underwent standard automated perimetry (SAP), optic disc and retinal nerve fiber layer (RNFL) imaging with time and spectral-domain optical coherence tomography (TD and SD-OCT), Heidelberg Retina Tomograph (HRT II), and scanning laser polarimetry (GDx-VCC). Areas under the receiver operating characteristic curves (AROCs) for DDLS and diagnostic tests parameters were calculated. DDLS correlations (Spearman's rank) among these parameters were analyzed. Fifty-four eyes were healthy and 47 had glaucoma, including 16 preperimetric glaucoma. DDLS, vertical and horizontal C/D ratios had the largest AROCs (0.92, 0.94 and 0.91, respectively). DDLS diagnostic accuracy was better than the accuracies of HRT II parameters, TD and SD-OCT RNFL thicknesses, and SAP mean deviation (MD) index. There were no significant differences between the accuracies of the DDLS and the C/D ratios, TD-OCT vertical (0.89) and horizontal (0.86) C/D ratios, TD-OCT C/D area ratio (0.89), and GDx-VCC NFI (0.81). DDLS showed significant strong correlations with vertical (r = 0.79) and horizontal (0.74) C/D ratios, and with the parameters vertical C/D ratio and C/D area ratio from HRT II (both 0.77) and TD-OCT (0.75 and 0.72, respectively). DDLS had significant moderate correlations with most of the other structural measurements and SAP MD. The optic disc clinical evaluation with DDLS system and C/D ratio demonstrated excellent accuracy in distinguishing glaucomatous from healthy eyes. DDLS had moderate to strong correlations with most structural and functional parameters. These findings stress the importance of optic disc clinical examination to detect glaucoma in a clinical scenario.

Diagnostic capability of peripapillary retinal nerve fiber layer parameters in time-domain versus spectral-domain optical coherence tomography for assessing glaucoma in high myopia.

To evaluate and compare the diagnostic capabilities of peripapillary retinal nerve fiber layer (p-RNFL) parameters of Spectralis optical coherence tomography (OCT) versus Stratus OCT to detect glaucoma in patients with high myopia. This is a retrospective, cross-sectional study. Sixty highly myopic eyes of 60 patients were enrolled, with 30 eyes in the glaucoma group and 30 eyes in the control group. All eyes received peripapillary imaging of the optic disc using Stratus and Spectralis OCT. Areas under the receiver operating characteristic curve (AUROC) and the sensitivity at specificity of >80% and >95% for p-RNFL parameters obtained using the two devices to diagnose glaucoma were analysed and compared. In Spectralis OCT, p-RNFL thickness parameters with the largest AUROC were the temporal-inferior sector (0.974) and the inferior quadrant (0.951), whereas in Stratus OCT, the best parameters were the 7-o'clock sector (0.918) and the inferior quadrant (0.918). Compared to the Stratus OCT parameters, the Spectralis OCT parameters demonstrated generally higher AUROC; however, the difference was not statistically significant. The best p-RNFL parameters for diagnosing glaucoma in patients with high myopia were the temporal-inferior sector on Spectralis OCT and the 7-o'clock sector on Stratus OCT. There were no significant differences between the AUROCs for Spectralis OCT and Stratus OCT, which suggest that the glaucoma diagnostic capabilities of these two devices in patients with high myopia are similar.

Triglyceride Glucose-Body Mass Index Is a Simple and Clinically Useful Surrogate Marker for Insulin Resistance in Nondiabetic Individuals.

BackgroundInsulin resistance (IR) and the consequences of compensatory hyperinsulinemia are pathogenic factors for a set of metabolic abnormalities, which contribute to the development of diabetes mellitus and cardiovascular diseases. We compared traditional lipid levels and ratios and combined them with fasting plasma glucose (FPG) levels or adiposity status for determining their efficiency as independent risk factors for IR.MethodsWe enrolled 511 Taiwanese individuals for the analysis. The clinical usefulness of various parameters—such as traditional lipid levels and ratios; visceral adiposity indicators, visceral adiposity index (VAI), and lipid accumulation product (LAP); the product of triglyceride (TG) and FPG (the TyG index); TyG with adiposity status (TyG-body mass index [BMI]) and TyG-waist circumference index [WC]); and adipokine levels and ratios—was analyzed to identify IR.ResultsFor all lipid ratios, the TG/high-density lipoprotein cholesterol (HDL-C) ratio had the highest additional percentage of variation in the homeostasis model assessment of insulin resistance (HOMA-IR; 7.0% in total); for all variables of interest, TyG-BMI and leptin-adiponectin ratio (LAR) were strongly associated with HOMA-IR, with 16.6% and 23.2% of variability, respectively. A logistic regression analysis revealed similar patterns. A receiver operating characteristic (ROC) curve analysis indicated that TG/HDL-C was a more efficient IR discriminator than other lipid variables or ratios. The area under the ROC curve (AUC) for VAI (0.734) and TyG (0.708) was larger than that for TG/HDL-C (0.707). TyG-BMI and LAR had the largest AUC (0.801 and 0.801, respectively).ConclusionTyG-BMI is a simple, powerful, and clinically useful surrogate marker for early identification of IR.

An assessment of driving fitness in patients with visual impairment to understand the elevated risk of motor vehicle accidents

ObjectiveTo assess the driving fitness of patients with glaucoma by identifying specific areas and degrees of visual field impairment that threaten safe driving.DesignCase–control study.Setting, and participantsThis prospective study included 36...

Value of shear wave elastography for predicting hepatocellular carcinoma and esophagogastric varices in patients with chronic liver disease.

To assess the value of shear wave elastography (SWE) for predicting the presence of hepatocellular carcinoma (HCC) and esophagogastric varices (EGV) in patients with chronic liver disease. Liver tissue stiffness, as well as various other parameters potentially associated with HCC and portal hypertension, was measured by SWE in 273 patients with chronic liver disease. Among these patients, HCC was present in 89 and absent in 184, and EGV were present in 16 and absent in 257. The diagnostic performance of liver tissue stiffness and other clinical parameters in predicting the presence of HCC and EGV was evaluated using receiver operating characteristic (ROC) curves and the area under the ROC curve (AUROC). With regard to HCC, liver tissue stiffness was significantly higher in patients with HCC (18.65 ± 10.78 kPa) than in those without HCC (10.64 ± 8.04 kPa; P < 0.0001). Significant differences in patient age (P < 0.0001), albumin (P < 0.0001), platelet count (P < 0.0001), AFP (P < 0.0001), and DCP (P < 0.0001) were also observed between patients with and without HCC. Liver tissue stiffness showed the largest AUROC (0.791). With regard to EGV, liver tissue stiffness was significantly higher in patients with EGV (22.65 ± 10.19 kPa) than in those without EGV (12.67 ± 9.45 kPa; P < 0.0001). Significant differences in albumin (P < 0.0001) and platelet count (P < 0.0001) were also observed between patients with and without EGV. Liver tissue stiffness measured by SWE is an independent factor for predicting the presence of HCC and EGV in patients with chronic liver disease.

Diagnostic Capability of Lamina Cribrosa Thickness by Enhanced Depth Imaging and Factors Affecting Thickness in Patients with Glaucoma

To determine the diagnostic ability of laminar thickness obtained using enhanced depth imaging (EDI) of the Heidelberg Spectralis optical coherence tomography (OCT) system (Heidelberg Engineering, Heidelberg, Germany) and the factors related to laminar thickness in patients with glaucoma. Evaluation of a diagnostic test. A total of 144 patients with glaucoma (68 with primary open-angle glaucoma [POAG], 76 with normal-tension glaucoma [NTG]), and 65 healthy controls. All patients underwent retinal nerve fiber layer (RNFL) thickness and optic nerve head (ONH) scanning with the Spectralis OCT system. Mean laminar thickness was defined at the center of the mid-superior, central, and mid-inferior horizontal B-scans of the ONH, and the mean of 3 laminar thickness measurements was used for the diagnostic test. Receiver operating characteristic (ROC) curves were obtained for average and quadrant RNFL thickness and mean laminar thickness. Areas under the ROC curve (AUCs), 95% confidence intervals (CIs), and sensitivities at a fixed specificity (90%) were calculated. Factors related to mean laminar thickness were analyzed by univariate and multivariate regression analyses in patients with glaucoma. Comparison of diagnostic ability using AUCs. Mean laminar thickness had the largest AUCs among all patients with glaucoma (AUC, 0.980; 95% CI, 0.966-0.993) and patients with NTG (AUC, 0.989; 95% CI, 0.980-0.994). The AUC of the mean laminar thickness of patients with NTG was significantly different from the AUC of the inferior RNFL thickness (AUC, 0.947; 95% CI, 0.929-0.965; P = 0.047), which had the largest AUC among the RNFL thickness parameters. The AUCs for discrimination between early glaucomatous eyes and normal eyes showed significant differences between the NTG group (AUC, 0.981; 95% CI, 0.968-0.992) and all patients with glaucoma (AUC, 0.941; 95% CI, 0.931-0.952; P = 0.007). The factor significantly associated with laminar thickness in both univariate and multivariate regression was NTG diagnosis (P = 0.001). The diagnostic ability of laminar thickness was comparable to that of peripapillary RNFL thickness in patients with glaucoma overall and better than peripapillary RNFL thickness in patients with early NTG.