scholarly journals Prediction of Insulin Resistance by Modified Triglyceride Glucose Indices in Youth

Life ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 286
Author(s):  
Kyungchul Song ◽  
Goeun Park ◽  
Hye Sun Lee ◽  
Youngha Choi ◽  
Jun Suk Oh ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Body Mass Index ◽  
Operating Characteristic ◽  
Fasting Glucose ◽  
Standard Deviation Score ◽  
Area Under The Curve ◽  
Receiver Operating Characteristic Curves ◽  
Tyg Index ◽  
Ir Detection ◽  
Nutritional Examination Survey

The triglyceride glucose (TyG) index, derived from a combination of fasting glucose and triglycerides, has been suggested as a useful marker for insulin resistance (IR), in addition to modified TyG indices that combine obesity parameters. This study investigated the association and utility of TyG and modified TyG indices for IR prediction in youth. Based on the Korea National Health and Nutritional Examination Survey, the data of 3728 youth aged 10–19 years were analyzed. Odds ratios (ORs) and 95% confidence intervals (CIs) of tertiles 2 and 3 for each parameter were calculated and compared with tertile 1 as a reference. To compare the parameters for identifying IR, receiver operating characteristic curves were plotted and the area under the curve (AUC) was calculated. The ORs and 95% CIs for insulin resistance (IR) progressively increased across tertiles of each parameter. Overall, all modified TyG indices presented higher ORs and AUC than the TyG index. The TyG-body mass index standard deviation score showed the largest AUC for IR detection in all subjects. In conclusion, TyG and modified TyG indices could be used as valuable markers for the prediction of IR in youth. Moreover, modified TyG indices had better diagnostic accuracy than the TyG index.

scholarly journals Evaluation of alpha-l-fucosidase for the diagnosis of hepatocellular carcinoma based on meta-analysis

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Lei Xi ◽  
Chunqing Yang
Keyword(s):  
Hepatocellular Carcinoma ◽  
Operating Characteristic ◽  
Meta Analysis ◽  
Area Under The Curve ◽  
Diagnostic Odds Ratio ◽  
Diagnostic Value ◽  
Receiver Operating Characteristic Curves ◽  
Sensitivity Specificity ◽  
Review Manager

AbstractObjectivesThe main aim of the present study was to assess the diagnostic value of alpha-l-fucosidase (AFU) for hepatocellular carcinoma (HCC).MethodsStudies that explored the diagnostic value of AFU in HCC were searched in EMBASE, SCI, and PUBMED. The sensitivity, specificity, and DOR about the accuracy of serum AFU in the diagnosis of HCC were pooled. The methodological quality of each article was evaluated with QUADAS-2 (quality assessment for studies of diagnostic accuracy 2). Receiver operating characteristic curves (ROC) analysis was performed. Statistical analysis was conducted by using Review Manager 5 and Open Meta-analyst.ResultsEighteen studies were selected in this study. The pooled estimates for AFU vs. α-fetoprotein (AFP) in the diagnosis of HCC in 18 studies were as follows: sensitivity of 0.7352 (0.6827, 0.7818) vs. 0.7501 (0.6725, 0.8144), and specificity of 0.7681 (0.6946, 0.8283) vs. 0.8208 (0.7586, 0.8697), diagnostic odds ratio (DOR) of 7.974(5.302, 11.993) vs. 13.401 (8.359, 21.483), area under the curve (AUC) of 0.7968 vs. 0.8451, respectively.ConclusionsAFU is comparable to AFP for the diagnosis of HCC.

scholarly journals Usefulness of sialic acid for diagnosis of sepsis in critically ill patients: a retrospective study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Bo Yao ◽  
Wen-juan Liu ◽  
Di Liu ◽  
Jin-yan Xing ◽  
Li-juan Zhang
Keyword(s):  
Sialic Acid ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Incomplete Data ◽  
Acid Level ◽  
Operating Characteristic ◽  
Area Under The Curve ◽  
Diagnostic Efficacy ◽  
Receiver Operating Characteristic Curves ◽  
Sensitivity Specificity

Abstract Background Early diagnosis of sepsis is very important. It is necessary to find effective and adequate biomarkers in order to diagnose sepsis. In this study, we compared the value of sialic acid and procalcitonin for diagnosing sepsis. Methods Newly admitted intensive care unit patients were enrolled from January 2019 to June 2019. We retrospectively collected patient data, including presence of sepsis or not, procalcitonin level and sialic acid level. Receiver operating characteristic curves for the ability of sialic acid, procalcitonin and combination of sialic acid and procalcitonin to diagnose sepsis were carried out. Results A total of 644 patients were admitted to our department from January 2019 to June 2019. The incomplete data were found in 147 patients. Finally, 497 patients data were analyzed. The sensitivity, specificity and area under the curve for the diagnosis of sepsis with sialic acid, procalcitonin and combination of sialic acid and procalcitonin were 64.2, 78.3%, 0.763; 67.9, 84.0%, 0.816 and 75.2, 84.6%, 0.854. Moreover, sialic acid had good values for diagnosing septic patients with viral infection, with 87.5% sensitivity, 82.2% specificity, and 0.882 the area under the curve. Conclusions Compared to procalcitonin, sialic acid had a lower diagnostic efficacy for diagnosing sepsis in critically ill patients. However, the combination of sialic acid and procalcitonin had a higher diagnostic efficacy for sepsis. Moreover, sialic acid had good value for diagnosing virus-induced sepsis.

Considerations on the region of interest in the ROC space

2021 ◽  
pp. 096228022110605
Author(s):  
Luigi Lavazza ◽  
Sandro Morasca
Keyword(s):  
Receiver Operating Characteristic ◽  
Operating Characteristic ◽  
False Positive Rate ◽  
Area Under The Curve ◽  
Region Of Interest ◽  
True Positive Rate ◽  
True Positive ◽  
Receiver Operating Characteristic Curves ◽  
Positive Rate ◽  
Receiver Operating

Receiver Operating Characteristic curves have been widely used to represent the performance of diagnostic tests. The corresponding area under the curve, widely used to evaluate their performance quantitatively, has been criticized in several respects. Several proposals have been introduced to improve area under the curve by taking into account only specific regions of the Receiver Operating Characteristic space, that is, the plane to which Receiver Operating Characteristic curves belong. For instance, a region of interest can be delimited by setting specific thresholds for the true positive rate or the false positive rate. Different ways of setting the borders of the region of interest may result in completely different, even opposing, evaluations. In this paper, we present a method to define a region of interest in a rigorous and objective way, and compute a partial area under the curve that can be used to evaluate the performance of diagnostic tests. The method was originally conceived in the Software Engineering domain to evaluate the performance of methods that estimate the defectiveness of software modules. We compare this method with previous proposals. Our method allows the definition of regions of interest by setting acceptability thresholds on any kind of performance metric, and not just false positive rate and true positive rate: for instance, the region of interest can be determined by imposing that [Formula: see text] (also known as the Matthews Correlation Coefficient) is above a given threshold. We also show how to delimit the region of interest corresponding to acceptable costs, whenever the individual cost of false positives and false negatives is known. Finally, we demonstrate the effectiveness of the method by applying it to the Wisconsin Breast Cancer Data. We provide Python and R packages supporting the presented method.

scholarly journals Performance of the Kidney Failure Risk Equation by Disease Etiology in Advanced CKD

2020 ◽  
Vol 15 (10) ◽  
pp. 1424-1432
Author(s):  
Gregory L. Hundemer ◽  
Navdeep Tangri ◽  
Manish M. Sood ◽  
Tim Ramsay ◽  
Ann Bugeja ◽  
...  
Keyword(s):  
Kidney Disease ◽  
Confidence Interval ◽  
Kidney Failure ◽  
Operating Characteristic ◽  
Area Under The Curve ◽  
Polycystic Kidney ◽  
Receiver Operating Characteristic Curves ◽  
Time Points ◽  
Risk Equation ◽  
Failure Risk

Background and objectivesThe kidney failure risk equation is a clinical tool commonly used for prediction of progression from CKD to kidney failure. The kidney failure risk equation’s accuracy in advanced CKD and whether this varies by CKD etiology remains unknown. This study examined the kidney failure risk equation’s discrimination and calibration at 2 and 5 years among a large tertiary care population with advanced CKD from heterogeneous etiologies.Design, setting, participants, & measurementsThis retrospective cohort study included 1293 patients with advanced CKD (median eGFR 15 ml/min per 1.73 m2) referred to the Ottawa Hospital Multi-Care Kidney Clinic between 2010 and 2016, with follow-up clinical data available through 2018. Four-variable kidney failure risk equation scores for 2- and 5-year risks of progression to kidney failure (defined as dialysis or kidney transplantation) were calculated upon initial referral and correlated with the subsequent observed kidney failure incidence within these time frames. Receiver operating characteristic curves and calibration plots were used to measure the discrimination and calibration of the kidney failure risk equation both in the overall advanced CKD population and by CKD etiology: diabetic kidney disease, hypertensive nephrosclerosis, GN, polycystic kidney disease, and other. Pairwise comparisons of the receiver operating characteristic curves by CKD etiology were performed to compare kidney failure risk equation discrimination.ResultsThe kidney failure risk equation provided adequate to excellent discrimination in identifying patients with CKD likely to progress to kidney failure at the 2- and 5-year time points both overall (2-year area under the curve, 0.83; 95% confidence interval, 0.81 to 0.85; 5-year area under the curve, 0.81; 95% confidence interval, 0.77 to 0.84) and across CKD etiologies. The kidney failure risk equation displayed adequate calibration at the 2- and 5-year time points both overall and across CKD etiologies (Hosmer–Lemeshow P≥0.05); however, the predicted risks of kidney failure were higher than the observed risks across CKD etiologies with the exception of polycystic kidney disease.ConclusionsThe kidney failure risk equation provides adequate discrimination and calibration in advanced CKD and across CKD etiologies.

Prediction of regaining consciousness despite an early epileptiform EEG after cardiac arrest

Neurology ◽  
2020 ◽  
Vol 94 (16) ◽  
pp. e1675-e1683 ◽  
Author(s):  
Giuseppina Barbella ◽  
Jong Woo Lee ◽  
Vincent Alvarez ◽  
Jan Novy ◽  
Mauro Oddo ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Operating Characteristic ◽  
Neuronal Damage ◽  
Cerebral Performance Category ◽  
Neuron Specific Enolase ◽  
Area Under The Curve ◽  
Performance Category ◽  
Receiver Operating Characteristic Curves ◽  
Normal Background ◽  
Serum Neuron Specific Enolase

ObjectiveAfter cardiac arrest (CA), epileptiform EEG, occurring in about 1/3 of patients, often but not invariably heralds poor prognosis. We tested the hypothesis that a combination of specific EEG features identifies patients who may regain consciousness despite early epileptiform patterns.MethodsWe retrospectively analyzed a registry of comatose patients post-CA (2 Swiss centers), including those with epileptiform EEG. Background and epileptiform features in EEGs 12–36 hours or 36–72 hours from CA were scored according to the American Clinical Neurophysiology Society nomenclature. Best Cerebral Performance Category (CPC) score within 3 months (CPC 1–3 vs 4–5) was the primary outcome. Significant EEG variables were combined in a score assessed with receiver operating characteristic curves, and independently validated in a US cohort; its correlation with serum neuron-specific enolase (NSE) was also tested.ResultsOf 488 patients, 107 (21.9%) had epileptiform EEG <72 hours; 18 (17%) reached CPC 1–3. EEG 12–36 hours background continuity ≥50%, absence of epileptiform abnormalities (p < 0.00001 each), 12–36 and 36–72 hours reactivity (p < 0.0001 each), 36–72 hours normal background amplitude (p = 0.0004), and stimulus-induced discharges (p = 0.0001) correlated with favorable outcome. The combined 6-point score cutoff ≥2 was 100% sensitive (95% confidence interval [CI], 78%–100%) and 70% specific (95% CI, 59%–80%) for CPC 1–3 (area under the curve [AUC], 0.98; 95% CI, 0.94–1.00). Increasing score correlated with NSE (ρ = −0.46, p = 0.0001). In the validation cohort (41 patients), the score was 100% sensitive (95% CI, 60%–100%) and 88% specific (95% CI, 73%–97%) for CPC 1–3 (AUC, 0.96; 95% CI, 0.91–1.00).ConclusionPrognostic value of early epileptiform EEG after CA can be estimated combining timing, continuity, reactivity, and amplitude features in a score that correlates with neuronal damage.

Video-Polysomnographic Assessment for the Diagnosis of Disorders of Arousal in Children

Neurology ◽  
2020 ◽  
Vol 96 (1) ◽  
pp. e121-e130
Author(s):  
Régis Lopez ◽  
Christine Laganière ◽  
Sofiène Chenini ◽  
Anna Laura Rassu ◽  
Elisa Evangelista ◽  
...  
Keyword(s):  
Operating Characteristic ◽  
Slow Wave Sleep ◽  
Area Under The Curve ◽  
Class Iii ◽  
Receiver Operating Characteristic Curves ◽  
Arousal Index ◽  
Fragmentation Index ◽  
Increased Sensitivity ◽  
Disorders Of Arousal

ObjectivesTo highlight the slow-wave sleep (SWS) fragmentation and validate the video-polysomnographic (vPSG) criteria and cutoffs for the diagnosis of disorders of arousal (DOA) in children, as already reported in adults.MethodsOne hundred children (66 boys, 11.0 ± 3.3 years) with frequent episodes of DOA and 50 nonparasomniac children (32 boys, 10.9 ± 3.9 years) underwent vPSG recording to quantify SWS characteristics (number of N3 sleep interruptions, fragmentation index, slow/mixed and fast arousal ratios, and indexes per hour) and associated behaviors. We compared SWS characteristics in the 2 groups and defined the optimal cutoff values for the diagnosis of DOA using receiver operating characteristic curves.ResultsPatients with DOA had higher amounts of N3 and REM sleep, number of N3 interruptions, SWS fragmentation, and slow/mixed arousal indexes than controls. The highest area under the curve (AUC) values were obtained for SWS fragmentation and slow/mixed arousal indexes with satisfactory classification performances (AUC 0.80, 95% confidence interval [CI] 0.73–0.87; AUC 0.82, 95% CI 0.75–0.89). SWS fragmentation index cutoff value of 4.1/h reached a sensitivity of 65.0% and a specificity of 84.0%. Slow/mixed arousal index cutoff of 3.8/h reached a sensitivity of 69.0% and a specificity of 82.0%. At least one parasomniac episode was recorded in 63.0% of patients and none of the controls. Combining behavioral component by vPSG increased sensitivity of both biomarkers to 83% and 89%, respectively.ConclusionsWe confirmed that SWS fragmentation and slow/mixed arousal indexes are 2 relevant biomarkers for the diagnosis of DOA in children, with different cutoffs obtained than those validated in adults.Classification of EvidenceThis study provides Class III evidence that SWS fragmentation and slow/mixed arousal indexes on vPSG accurately identify children with DOA.

scholarly journals Evaluation of anthropometric indices as metabolic syndrome predictors in Ecuadorian Military Personnel

2020 ◽  
Vol 41 (2) ◽  
pp. 141-147
Author(s):  
Germán Muñoz ◽  
Alberth Patricio Muñoz Gualan
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Military Personnel ◽  
Operating Characteristic ◽  
Area Under The Curve ◽  
Anthropometric Measurements ◽  
Height Ratio ◽  
Anthropometric Indices ◽  
Low Prevalence ◽  
Waist Height Ratio

Anthropometric measurements are simple and effective techniques for central or abdominal obesity evaluation. Although it is known their good predicting value, there is not a consensus about which is best in Metabolic Syndrome (MetSyn) diagnostic, using ATP III criteria. Anthropometric measurements included waist circumference (WC), waist hip ratio (WHR), waist height ratio (WHtR) and body mass index (BMI). This study aimed to determine the prevalence of MetSyn and compare anthropometric indices for optimal predicting value with their respective cut-offs for MetSyn diagnosis among army members in ESFORSE, Ecuador. The study includes 181 participants (175 male and 6 female), with mean age 37 ± 6 years, MetSyn prevalence is 8%, with WC (p <.001), WHtR (p. .009) and WHR (p .020) as variables statistically significant. We analyzed the area under the curve (AUC) in a receiver operating characteristic (ROC) curve, in anthropometric measurements. Thus, WC and WHtR represent the highest AUC (WC: 0.77, 95% CI 0.69-0.86; WHtR: 0.70, 95% CI 0.59-0.82). The optimal cut-off values for predicting MetSyn are 92 cm in WC, 0.52 in WHtR and 0.93 in WHR. Therefore, the army members have a low prevalence of MetSyn, with WC as the best predicting value.

scholarly journals Insulin Resistance Remission Following Laparoscopic Roux-en-Y Gastric Bypass and Laparoscopic Sleeve Gastrectomy in Chinese Type 2 Diabetes Mellitus Patients With a Body Mass Index of 27.5–32.5 kg/m2

2021 ◽  
Vol 12 ◽  
Author(s):  
Ping Luo ◽  
Yaoquan Cao ◽  
Pengzhou Li ◽  
Guohui Wang ◽  
Zhi Song ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Body Mass Index ◽  
Gastric Bypass ◽  
Type 2 Diabetes Mellitus ◽  
Sleeve Gastrectomy ◽  
Composite Endpoint ◽  
Tyg Index

Background: Insulin resistance (IR) is closely associated with the pathogenesis of type 2 diabetes mellitus (T2DM). However, remission of insulin sensitivity after bariatric surgery in patients with T2DM and a body mass index (BMI) of 27.5–32.5 kg/m2 has not been fully elucidated.Methods: Thirty-six T2DM patients with a BMI of 27.5–32.5 kg/m2 were prospectively consecutively recruited for laparoscopic Roux-en-Y gastric bypass (LRYGB) or laparoscopic sleeve gastrectomy (LSG). Hyperinsulinemic euglycemic clamp, oral glucose tolerance test (OGTT), and other indicators were tested at baseline and 6 months postoperative. Glucose disposal rate (GDR), time to reach euglycemia, homeostatic model assessment of IR, quantitative insulin sensitivity check index (QUICKI), triglyceride glucose (TyG) index, 30-min insulinogenic index (IGI30), and disposition index (DI) were calculated at baseline and 6 months after surgery. The criterion for remission in T2DM patients was the achievement of the triple composite endpoint.Results: Anthropometric and glucolipid metabolism parameters significantly improved following surgery. The GDR increased significantly from baseline to 6 months after LRYGB (from 4.28 ± 1.70 mg/kg/min to 8.47 ± 1.89 mg/kg/min, p &lt; 0.0001) and LSG (from 3.18 ± 1.36 mg/kg/min to 7.09 ± 1.69 mg/kg/min, p &lt; 0.001). The TyG index decreased after surgery (RYGB group, from 9.93 ± 1.03 to 8.60 ± 0.43, p &lt; 0.0001; LSG group, from 10.04 ± 0.79 to 8.72 ± 0.65, p = 0.0002). There was a significant reduction in the IGI30 (RYGB group, from 2.04 ± 2.12 to 0.83 ± 0.47, p = 0.005; LSG group, from 2.12 ± 1.73 to 0.92 ± 0.66, p = 0.001). The mean DI significantly increased from 1.14 ± 1.35 to 7.11 ± 4.93 in the RYGB group (p = 0.0001) and from 1.25 ± 1.78 to 5.60 ± 4.58 in the LSG group (p = 0.003). Compared with baseline, HOMR-IR, QUICKI, area under the curve-C-peptide release test (AUC-CRT), and AUC-OGTT were significantly changed at 6 months postoperative. Overall, 52.63% of patients in the LRYGB group versus 29.41% of patients in the LSG group achieved the triple composite endpoint.Conclusion: Both LRYGB and LSG effectively induced remission of IR in patients with T2DM and a BMI of 27.5–32.5 kg/m2.

scholarly journals The effect of combination therapy of insulin glargine, metformin, and sitagliptin on insulin secretion, insulin resistance, and metabolic parameters in obese subjects with type 2 diabetes

2016 ◽  
Vol 144 (9-10) ◽  
pp. 497-502
Author(s):  
Teodora Beljic-Zivkovic ◽  
Milica Marjanovic-Petkovic ◽  
Miljanka Vuksanovic ◽  
Ivan Soldatovic ◽  
Dobrila Kanlic ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Insulin Glargine ◽  
Body Mass ◽  
Fasting Glucose ◽  
C Peptide ◽  
Obese Subjects

Introduction. A combination of drugs is required for treatment of obese subjects with diabetes, due to multiple pathogenic mechanisms implicated in the development of both diabetes and obesity. Objective. Assessment of the effect of sitagliptin added to insulin glargine and metformin, in obese subjects with type 2 diabetes. Methods. A total of 23 obese subjects on metformin and insulin glargine participated in the study. Titration of insulin glargine during a one-month period preceded the addition of 100 mg of sitagliptin daily. Body mass index, waist circumference, fasting, and prandial glucose were measured monthly, lipids and hemoglobin A1c (HbA1c) every three months, insulin, c-peptide and glucagon at the start and after six months of treatment. Homeostatic models for insulin secretion (HOMA B) and insulin resistance (HOMA IR) were calculated. Results. Participants were 58.65 ?} 7.62 years of age with a body mass index of 35.06 ?} 5.15 kg/m2, waist circumference of 115.04 ?} 15.5 cm, and the duration of diabetes of 4.11 ?} 2.57 years. With the titration of insulin glargine, target fasting glucose levels were not achieved. Waist circumference and body mass index decreased during three months of sitagliptin treatment, thereafter remaining stable. HbA1c decreased significantly after three and six months of therapy. C-peptide increased significantly, while glucagon level fell. HOMA indexes were unchanged. Conclusion. Sitagliptin can improve diabetes control and induce modest weight loss in obese subjects poorly controlled on insulin glargine and metformin. Titration of insulin glargine to optimal fasting glucose values is a prerequisite of success of this combination therapy.

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