scholarly journals The Value of Serum Midkine Level in Diagnosis of Hepatocellular Carcinoma

2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
Karim Y. A. Shaheen ◽  
Abeer I. Abdel-Mageed ◽  
Eslam Safwat ◽  
Ashraf M. AlBreedy
Keyword(s):  
Healthy Subjects ◽  
Operating Characteristic ◽  
Diagnostic Marker ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Tumor Diameter ◽  
Control Groups ◽  
Tumor Number ◽  
Healthy Control ◽  
Operating Characteristic Curve

Background and Aim. Identification of sensitive biomarkers to improve early diagnosis of HCC is needed. We aimed to evaluate serum midkine (MDK) as a biomarker for HCC diagnosis.Patients and Methods. 40 HCCs, 30 liver cirrhosis patients, and 30 healthy subjects were enrolled. Serum MDK using ELISA was measured in all included subjects.Results. Serum MDK was significantly elevated in HCC group compared to cirrhotic and healthy control groups (0.625 versus 0.15 and 0.125 ng/mL), respectively. No significant association was found between MDK and either BCLC stage, tumor diameter, tumor number, or AFP level. Receiver operating characteristic curve showed that best cutoff for MDK and AFP was 0.387 and 88.5 ng/mL, respectively. Area under the curve of MDK was significantly larger than that of AFP (0.941 versus 0.671). The sensitivity of MDK at 0.387 ng/mL for HCC diagnosis was significantly higher than that of AFP at cutoffs 20, 88.5, and 200 ng/mL (92.5 versus 62.5, 40, and 25%), respectively. Sensitivity of MDK reached 93.3% in patients with AFP <20 ng/mL. Moreover, MDK at 0.387 ng/mL had significant better sensitivity than AFP at 20 ng/mL in distinguishing HCC from BCLC 0/A (90 versus 40%).Conclusion. Serum MDK might be a potential diagnostic marker for HCC particularity in its early stages.

scholarly journals Prediction of anemia at delivery

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Enav Yefet ◽  
Avishag Yossef ◽  
Zohar Nachum
Keyword(s):  
Risk Factors ◽  
Operating Characteristic ◽  
Complete Blood Count ◽  
Characteristic Curve ◽  
Secondary Analysis ◽  
Area Under The Curve ◽  
Iron Supplement ◽  
Independent Risk Factors ◽  
Operating Characteristic Curve ◽  
Study Database

AbstractWe aimed to assess risk factors for anemia at delivery by conducting a secondary analysis of a prospective cohort study database including 1527 women who delivered vaginally ≥ 36 gestational weeks. Anemia (Hemoglobin (Hb) < 10.5 g/dL) was assessed at delivery. A complete blood count results during pregnancy as well as maternal and obstetrical characteristics were collected. The primary endpoint was to determine the Hb cutoff between 24 and 30 gestational weeks that is predictive of anemia at delivery by using the area under the curve (AUC) of the receiver operating characteristic curve. Independent risk factors for anemia at delivery were assessed using stepwise multivariable logistic regression. Hb and infrequent iron supplement treatment were independent risk factors for anemia at delivery (OR 0.3 95%CI [0.2–0.4] and OR 2.4 95%CI [1.2–4.8], respectively; C statistics 83%). Hb 10.6 g/dL was an accurate cutoff to predict anemia at delivery (AUC 80% 95%CI 75–84%; sensitivity 75% and specificity 74%). Iron supplement was beneficial to prevent anemia regardless of Hb value. Altogether, Hb should be routinely tested between 24 and 30 gestational weeks to screen for anemia. A flow chart for anemia screening and treatment during pregnancy is proposed in the manuscript.Trial registration: ClinicalTrials.gov Identifier: NCT02434653.

Diagnostic Value of CD4/CD8 in Scrub Typhus

2021 ◽  
Author(s):  
Kangkang Hong ◽  
Ziping Shu ◽  
Laodong Li ◽  
Yu Zhong ◽  
Weiqian Chen ◽  
...  
Keyword(s):  
Hiv Infection ◽  
Bloodstream Infection ◽  
Operating Characteristic ◽  
Scrub Typhus ◽  
Characteristic Curve ◽  
Community Acquired Pneumonia ◽  
Curve Analysis ◽  
Control Groups ◽  
Infection Group ◽  
Operating Characteristic Curve

Scrub typhus is often misdiagnosed in febrile patients, leading to antibiotic abuse and multiple complications. We conducted a retrospective record review at the Fourth Affiliated Hospital of Guangxi Medical University in China. Data were collected on 52 patients with a confirmed diagnosis of scrub typhus and complete clinical data. In addition, data were collected on 52 patients with bloodstream infection, 25 patients with HIV infection, 112 patients with common community-acquired pneumonia (CCAP), and 36 patients with severe community-acquired pneumonia (SCAP) to serve as control groups. The peripheral blood CD4 and CD8 counts, CD4/CD8 ratio, C-reactive protein, procalcitonin, alanine aminotransferase, aspartate aminotransferase, creatinine, and β2 microglobulin levels; and the white blood cell count and neutrophil percentage were compared between the scrub typhus and the control groups. The value of these biomarkers in the diagnosis of scrub typhus was assessed using receiver–operating characteristic curve analysis. The scrub typhus group had a significantly lower CD4 count and CD4/CD8 ratio than the bloodstream infection, CCAP, and SCAP groups, and a significantly greater CD4 count and CD4/CD8 ratio than the HIV infection group. In contrast, the scrub typhus group had a significantly greater CD8 count than the bloodstream infection and CCAP and SCAP groups, and it had a lower level of CD8 than the HIV infection group. The areas under the curve of CD4/CD8 were more than 0.93 in the receiver–operating characteristic curve analysis. These findings suggest that the CD4/CD8 ratio is a useful ancillary test for diagnosing scrub typhus.

scholarly journals The Optimal Cutoff Value of D-dimer Levels to Predict in Hospital Mortality in Severe Cases of Coronavirus Disease 2019

2021 ◽  
Vol 9 (B) ◽  
pp. 1561-1564
Author(s):  
Ngakan Ketut Wira Suastika ◽  
Ketut Suega
Keyword(s):  
Hospital Mortality ◽  
Receiver Operating Characteristic Curve ◽  
Receiver Operating Characteristic ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Optimal Cutoff ◽  
Cutoff Value ◽  
Operating Characteristic Curve ◽  
D Dimer

Introduction: Coronavirus disease 2019 (Covid-19) can cause coagulation parameters abnormalities such as an increase of D-dimer levels especially in severe cases. The purpose of this study is to determine the differences of D-dimer levels in severe cases of Covid-19 who survived and non-survived and determine the optimal cut-off value of D-dimer levels to predict in-hospital mortality. Method: Data were obtained from confirmed Covid-19 patients who were treated from June to September 2020. The Mann-Whitney U test was used to determine differences of D-dimer levels in surviving and non-surviving patients. The optimal cut-off value and area under the curve (AUC) of the D-dimer level in predicting mortality were obtained by the receiver operating characteristic curve (ROC) method. Results: A total of 80 patients were recruited in this study. Levels of D-dimer were significantly higher in non-surviving patients (median 3.346 mg/ml; minimum – maximum: 0.939 – 50.000 mg/ml) compared to surviving patients (median 1.201 mg/ml; minimum – maximum: 0.302 – 29.425 mg/ml), p = 0.012. D-dimer levels higher than 1.500 mg/ml are the optimal cut-off value for predicting mortality in severe cases of Covid-19 with a sensitivity of 80.0%; specificity of 64.3%; and area under the curve of 0.754 (95% CI 0.586 - 0.921; p = 0.010). Conclusions: D-dimer levels can be used as a predictor of mortality in severe cases of Covid-19.

scholarly journals Comprehensive and Integrative Analysis Reveals the Diagnostic, Clinicopathological and Prognostic Significance of Polo-Like Kinase 1 in Hepatocellular Carcinoma

2018 ◽  
Vol 47 (3) ◽  
pp. 925-947 ◽  
Author(s):  
Peng Lin ◽  
Dong-yue Wen ◽  
Yi-wu Dang ◽  
Yun He ◽  
Hong Yang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Cell Cycle ◽  
Liver Cancer ◽  
Receiver Operating Characteristic Curve ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Summary Receiver Operating Characteristic ◽  
Operating Characteristic Curve ◽  
Standardized Mean Difference

Background/Aims: Liver cancer has the second highest cancer-related death rate globally and has relatively few targeted therapeutics. Polo-like kinase 1 (PLK1) is a fascinating trigger of the cell cycle; however, the still-rudimentary understanding of PLK1 at present is a significant barrier to its clinical applications. Here, we comprehensively clarified the clinicopathological value and potential functions of PLK1 in hepatocellular carcinoma (HCC). Methods: HCC-related microarrays, RNA-sequencing datasets and published studies were deeply mined and integrated from The Cancer Genome Atlas, Gene Expression Omnibus, ArrayExpress, Oncomine, literature databases, and immunohistochemistry experiments. Meanwhile, the associations between PLK1 expression and its clinicopathological implications and prognostic value in HCC patients were assessed. The standardized mean difference, summary receiver operating characteristic curve and the corresponding area under the curve, hazard ratios, odds ratios (ORs), and their 95% confidence intervals (CIs) were examined by STATA 12.0. Additionally, several bioinformatics methods were used to identify the potential function of PLK1 in HCC. Results: Comprehensive analyses revealed that PLK1 was significantly increased in HCC (standardized mean difference = 1.34, 95% CI: 1.03–1.65, P < 0.001). The results of diagnostic tests specified that in the summary receiver operating characteristic curve, the area under the curve was 0.88 (95% CI: 0.85–0.90). Furthermore, an elevated PLK1 level significantly predicted unfavorable overall survival (hazard ratio = 1.78, 95% CI: 1.10–2.88, P = 0.019) and was correlated with female gender (OR = 0.73, 95% CI: 0.56–0.95, P = 0.017), tumor thrombus (OR = 3.97, 95% CI: 1.46–10.78, P < 0.001), metastasis (OR = 3.46, 95% CI: 1.33–9.01, P = 0.011), pathologic stage (OR = 1.56, 95% CI: 1.17–2.07, P = 0.002), Barcelona Clinic Liver Cancer stage (OR = 5.76, 95% CI: 2.17–15.28, P < 0.001) and histologic grade (OR = 2.33, 95% CI: 1.12–487, P = 0.024). Through bioinformatics methods, we determined that enhancing the proliferative effect of PLK1 in HCC was associated with a series of hub genes and the activation of the cell cycle pathway. Conclusions: These findings substantiated that PLK1 may be an independent prognostic biomarker in HCC and may facilitate the development of targeted precision oncology.

scholarly journals Usefulness of Lymphocyte ratio and CRP Level for Early Detection of Surgical Site Infection Following spinal surgery

2019 ◽  
Author(s):  
Wenbo Wei ◽  
Shajie Dang ◽  
Dapeng Duan ◽  
Liqun Gong ◽  
Jue Wang ◽  
...  
Keyword(s):  
Surgical Site Infection ◽  
Spinal Surgery ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Site Infection ◽  
C Reactive Protein ◽  
Lymphocyte Ratio ◽  
Reactive Protein ◽  
Operating Characteristic Curve

Abstract Background: To investigate the significant laboratory markers for early diagnosis of surgical site infection after spinal surgery. And determine the diagnostic cut-off values of these markers Methods: A total of 67 patients participated in the study: 11 patients who developed surgical site infection after spinal surgery (SSI Group) and 56 patients were compared with the infected group in terms of age，gender, operating time and intraoperative blood loss (Non-SSI Group). The white blood cell (WBC) count , WBC differential , C-reactive protein (CRP) and erythrocyte sedimentation rate(ESR) were determined before and 1, 3 and 7 days postoperatively . Then, we determine the diagnostic cutoff for these markers by using the receiver operating characteristic curve. Results: The CRP, ESR and WBC were significantly higher in the SSI group at 3 and 7 days postoperatively. The lymphocyte ratio at 3 days postoperatively was significantly lower in the SSI Group. Using the receiver operating characteristic curve，lymphocyte ratio <11.5% at 3 days postoperatively (sensitivity 90.9%, specificity 75.4%, area under the curve [AUC] 0.919), and C-reactive protein level >26 mg/dL at 7 days postoperatively (sensitivity 90.9%, specificity 87.7%, area under the curve [AUC] 0.954) were the significant laboratory marker for early detection of SSI Conclusion: Lymphocyte ratio<11.5% at 3 days and C-reactive protein levels>26.5mg/dl at 7 days after spinal surgery are reliable markers of SSI.

scholarly journals Cut-off value of serum homocysteine in relation to increase of coronary artery calcification

2020 ◽  
pp. jim-2020-001478
Author(s):  
Nam-Seok Joo ◽  
Susie Jung ◽  
Yu-Na Kim ◽  
Beom-Hee Choi
Keyword(s):  
Coronary Artery ◽  
Coronary Artery Calcification ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Homocysteine Concentration ◽  
Serum Homocysteine ◽  
Significant Difference ◽  
Operating Characteristic Curve ◽  
Age And Sex

A recent study reported that coronary artery calcification (CAC) and serum homocysteine were well associated; however, no report is available for the cut-off value of serum homocysteine according to increase of coronary-artery calcification volume score (CVS). The data of 469 out of 777 subjects in 1 health promotion center located in Seoul were selected after exclusion of the missing data of serum homocysteine and CVS. CVS was categorized into 2 groups: CVS=0 and CVS>0. Serum homocysteine according to the CVS groups was compared, and the cut-off value of serum homocysteine according to the increase of CVS (>0) was calculated using the receiver operating characteristic curve. Mean age was 54.5 years and the proportion of females was 22.2%. Mean serum homocysteine concentration and CVS were 11.2 μmol/L and 50.4, respectively. After adjustments for age and sex, serum homocysteine was associated with CVS (r=0.167, p=0.001), and Log(Homocysteine) also showed a significant difference according to the CVS groups. The cut-off value of serum homocysteine according to the increase of CVS (>0) was 9.45 μmol/L (area under the curve=0.569 (95% CI 0.512 to 0.625), p=0.015). The cut-off value of serum homocysteine was 9.45 μmol/L according to the increase of coronary-artery CVS.

Baseline NIH Stroke Scale is an inferior predictor of functional outcome in the era of acute stroke intervention

2018 ◽  
Vol 13 (8) ◽  
pp. 806-810 ◽  
Author(s):  
Michael E Reznik ◽  
Shadi Yaghi ◽  
Mahesh V Jayaraman ◽  
Ryan A McTaggart ◽  
Morgan Hemendinger ◽  
...  
Keyword(s):  
Acute Stroke ◽  
Receiver Operating Characteristic Curve ◽  
Receiver Operating Characteristic ◽  
Functional Outcome ◽  
Operating Characteristic ◽  
Mechanical Thrombectomy ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Curve Analysis ◽  
Operating Characteristic Curve

Background and aims Baseline National Institutes of Health Stroke Scale (NIHSS) scores have frequently been used for prognostication after ischemic stroke. With the increasing utilization of acute stroke interventions, we aimed to determine whether baseline NIHSS scores are still able to reliably predict post-stroke functional outcome. Methods We retrospectively analyzed prospectively collected data from a high-volume tertiary-care center. We tested strength of association between NIHSS scores at baseline and 24 h with discharge NIHSS using Spearman correlation, and diagnostic accuracy of NIHSS scores in predicting favorable outcome at three months (defined as modified Rankin Scale 0–2) using receiver operating characteristic curve analysis with area under the curve. Results There were 1183 patients in our cohort, with median baseline NIHSS 8 (IQR 3–17), 24-h NIHSS 4 (IQR 1–11), and discharge NIHSS 2 (IQR 1–8). Correlation with discharge NIHSS was r = 0.60 for baseline NIHSS and r = 0.88 for 24-h NIHSS. Of all patients with follow-up data, 425/1037 (41%) had favorable functional outcome at three months. Receiver operating characteristic curve analysis for predicting favorable outcome showed area under the curve 0.698 (95% CI 0.664–0.732) for baseline NIHSS, 0.800 (95% CI 0.772–0.827) for 24-h NIHSS, and 0.819 (95% CI 0.793–0.845) for discharge NIHSS; 24 h and discharge NIHSS maintained robust predictive accuracy for patients receiving mechanical thrombectomy (AUC 0.846, 95% CI 0.798–0.895; AUC 0.873, 95% CI 0.832–0.914, respectively), while accuracy for baseline NIHSS decreased (AUC 0.635, 95% CI 0.566–0.704). Conclusion Baseline NIHSS scores are inferior to 24 h and discharge scores in predicting post-stroke functional outcomes, especially in patients receiving mechanical thrombectomy.

A simple method to estimate the time-dependent receiver operating characteristic curve and the area under the curve with right censored data

2016 ◽  
Vol 27 (8) ◽  
pp. 2264-2278 ◽  
Author(s):  
Liang Li ◽  
Tom Greene ◽  
Bo Hu
Keyword(s):  
Receiver Operating Characteristic Curve ◽  
Receiver Operating Characteristic ◽  
Sensitivity And Specificity ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Disease Onset ◽  
Area Under The Curve ◽  
Time Dependent ◽  
Operating Characteristic Curve ◽  
Receiver Operating

The time-dependent receiver operating characteristic curve is often used to study the diagnostic accuracy of a single continuous biomarker, measured at baseline, on the onset of a disease condition when the disease onset may occur at different times during the follow-up and hence may be right censored. Due to right censoring, the true disease onset status prior to the pre-specified time horizon may be unknown for some patients, which causes difficulty in calculating the time-dependent sensitivity and specificity. We propose to estimate the time-dependent sensitivity and specificity by weighting the censored data by the conditional probability of disease onset prior to the time horizon given the biomarker, the observed time to event, and the censoring indicator, with the weights calculated nonparametrically through a kernel regression on time to event. With this nonparametric weighting adjustment, we derive a novel, closed-form formula to calculate the area under the time-dependent receiver operating characteristic curve. We demonstrate through numerical study and theoretical arguments that the proposed method is insensitive to misspecification of the kernel bandwidth, produces unbiased and efficient estimators of time-dependent sensitivity and specificity, the area under the curve, and other estimands from the receiver operating characteristic curve, and outperforms several other published methods currently implemented in R packages.

scholarly journals Risk assessment and receiver operating characteristic curves

2011 ◽  
Vol 42 (5) ◽  
pp. 895-898 ◽  
Author(s):  
G. Szmukler ◽  
B. Everitt ◽  
M. Leese
Keyword(s):  
Risk Assessment ◽  
Clinical Practice ◽  
Receiver Operating Characteristic ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Assessment Instruments ◽  
Receiver Operating Characteristic Curves ◽  
Operating Characteristic Curve ◽  
Receiver Operating

Risk assessment is now regarded as a necessary competence in psychiatry. The area under the curve (AUC) statistic of the receiver operating characteristic curve is increasingly offered as the main evidence for accuracy of risk assessment instruments. But, even a highly statistically significant AUC is of limited value in clinical practice.

scholarly journals Altered exhaled biomarker profiles in children during and after rhinovirus-induced wheeze

2014 ◽  
Vol 45 (2) ◽  
pp. 440-448 ◽  
Author(s):  
Marc P. van der Schee ◽  
Simone Hashimoto ◽  
Annemarie C. Schuurman ◽  
Janine S. Repelaer van Driel ◽  
Nora Adriaens ◽  
...  
Keyword(s):  
Electronic Nose ◽  
Respiratory Symptoms ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Asymptomatic Children ◽  
Increased Risk ◽  
Volatile Organic ◽  
Operating Characteristic Curve ◽  
Molecular Profiles

Preschool rhinovirus-induced wheeze is associated with an increased risk of asthma. In adult asthma, exhaled volatile organic compounds (VOC) are associated with inflammatory activity. We therefore hypothesised that acute preschool wheeze is accompanied by a differential profile of exhaled VOC, which is maintained after resolution of symptoms in those children with rhinovirus-induced wheeze.We included 178 children (mean±sd age 22±9 months) from the EUROPA cohort comparing asymptomatic and wheezing children during respiratory symptoms and after recovery. Naso- and oropharyngeal swabs were tested for rhinovirus by quantitative PCR. Breath was collected via a spacer and analysed using an electronic nose. Between-group discrimination was assessed by constructing a 1000-fold cross-validated receiver operating characteristic curve. Analyses were stratified by rhinovirus presence/absence.Wheezing children demonstrated a different VOC profile when compared with asymptomatic children (p<0.001), regardless of the presence (area under the curve (AUC) 0.77, 95% CI 0.07) or absence (AUC 0.81, 95% CI 0.05) of rhinovirus. After symptomatic recovery, discriminative accuracy was maintained in children with rhinovirus-induced wheeze (AUC 0.84, 95% CI 0.06), whereas it dropped significantly in infants with non-rhinovirus-induced wheeze (AUC 0.67, 95% CI 0.06).Exhaled molecular profiles differ between preschool children with and without acute respiratory wheeze. This appears to be sustained in children with rhinovirus-induced wheeze after resolution of symptoms. Therefore, exhaled VOC may qualify as candidate biomarkers for early signs of asthma.

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