scholarly journals Pulmonary Vein Index Is Associated With Early Prognosis of Surgical Treatment for Tetralogy of Fallot

2021 ◽  
Vol 9 ◽  
Author(s):  
Haoyong Yuan ◽  
Tao Qian ◽  
Ting Huang ◽  
Hui Yang ◽  
Can Huang ◽  
...  
Keyword(s):  
Surgical Treatment ◽  
Tetralogy Of Fallot ◽  
Pulmonary Vein ◽  
Roc Curve ◽  
Predictive Value ◽  
Significant Risk ◽  
Cox Proportional Hazards ◽  
Roc Curve Analysis ◽  
Crude Odds Ratio ◽  
Delayed Sternal Closure

Objectives: To evaluate the predictive value of the pulmonary vein index (PVI) in the early prognosis of patients who received total tetralogy of Fallot (TOF) repair.Methods: We retrospectively reviewed 286 patients who underwent TOF repair in our institution between July 2013 and May 2020. The PVI, McGoon ratio, and Nakata index were measured and calculated. Logistic regression, linear stepwise regression, receiver operating characteristic (ROC) curve analysis, and Cox proportional hazards modeling were performed to evaluate the predictive value of PVI in the early prognosis after TOF repair surgery.Results: The median age and body weight were 1.23 (0.22–15.02) years and 9.00 (3.00–44.00) kg, respectively. There were five early deaths. The areas under the ROC curve for death were 0.89, 0.79, and 0.88 for the McGoon ratio, Nakata index, and PVI, respectively. A lower PVI better predicted prolonged postoperative hospital stay, cardiac intensive care unit stay, and ventilator time (Hazard Ratio, HR [95% Confidence intervals, CI]: 1.003 [1.002–1.004], p < 0.001; 1.002 [1.001–1.004], p < 0.001; 1.002 [1.001–1.003], p < 0.001, respectively) and was a significant risk factor for high 24 h max Vasoactive inotropic score (Crude Odds Ratio [OR] [95% CI]: −0.015 [−0.022, −0.007], p < 0.001), serous effusion (Crude OR [95% CI]: 0.996 [0.992–0.999], p = 0.020), delayed sternal closure (Crude OR [95% CI]: 0.983 [0.971–0.996], p = 0.010), and the need for peritoneal dialysis (Crude OR [95% CI]: 0.988 [0.980–0.996], p = 0.005). The area under the ROC curve of PVI for delayed postoperative recovery was 0.722 (p < 0.001), and the estimated cutoff point was 300.3 mm2/m2.Conclusion: PVI is a good predictor of early prognosis for surgical treatment of TOF patients.

scholarly journals Serum peptidyl-prolyl cis-trans isomerase NIMA-interacting 1 in combination with C-reactive protein and white blood cell as novel predictors for infants with community-acquired pneumonia

2020 ◽  
Vol 18 ◽  
pp. 205873922094234
Author(s):  
Heng Xue ◽  
Hui Liu ◽  
Liangpu Xu ◽  
Qiaoling Liu ◽  
Bimin Zhuo ◽  
...  
Keyword(s):  
Blood Cell ◽  
White Blood Cell ◽  
Roc Curve ◽  
Predictive Value ◽  
Clinical Manifestations ◽  
Community Acquired Pneumonia ◽  
Enzyme Linked Immunosorbent Assay ◽  
C Reactive Protein ◽  
Roc Curve Analysis ◽  
Reactive Protein

The aim of this study was to investigate the predictive value of peptidyl-prolyl cis-trans isomerase NIMA-interacting 1 (Pin1) with C-reactive protein (CRP) and white blood cell (WBC) count for community-acquired pneumonia (CAP) in infants. A total of 84 hospitalized infants with CAP and 69 healthy infants were included in this study. The clinical manifestations and laboratory assay results of infants were recorded. Serum Pin1 level was estimated by enzyme-linked immunosorbent assay. The median serum Pin1 concentration in infants with CAP was significantly higher than that in controls (1.44 vs. 0.21 ng/mL, P < 0.0001). Receiver operating characteristic (ROC) curve analysis showed that the area under the ROC curve (AUC) of the combination Pin1, CRP and WBC (Pin1 + CRP + WBC, 0.943) was higher than Pin1, CRP, WBC alone or the combination of Pin1 and CRP ( P < 0.05). The sensitivity of Pin1 + CRP + WBC (94.0%) was higher than that of Pin1, CRP, WBC alone, or any two combined ( P < 0.05). Pin1 + CRP + WBC also had a high negative predictive value (91.4%). Moreover, serum Pin1 alone had a high specificity (97.0%) and excellent positive predictive value (96.6%) for infants with CAP, which were higher than WBC, Pin1 and WBC in combination, CRP and WBC in combination, and Pin1 + CRP + WBC ( P < 0.05). Therefore, serum Pin 1 was highly expressed in infants with CAP and can singly or in combination with CRP and WBC represent promising novel predictors for infants with CAP.

scholarly journals Combine preoperative estimation of serum thyroglobulin and ACR-thyroid imaging reporting and data system scoring could accurately define malignant thyroid nodules

2020 ◽  
Vol 8 (1) ◽  
pp. 32
Author(s):  
Waseem A. Shoda
Keyword(s):  
Roc Curve ◽  
Predictive Value ◽  
Thyroid Nodules ◽  
Curve Analysis ◽  
Data System ◽  
Operating Characteristics ◽  
Roc Curve Analysis ◽  
Serum Thyroglobulin ◽  
Thyroid Imaging ◽  
Significant Difference

Background: Evaluation of diagnostic ability of preoperative estimation of serum thyroglobulin (TG) to detect malignant thyroid nodules (TN) in comparison to the American College of Radiology, Thyroid imaging reporting and data system (ACR-TIRADS), fine needle aspiration cytology (FNAC) and intraoperative frozen section (IO-FS).Methods: 34 patients with ACR-TIRADS 2-4 TN were evaluated preoperatively for identification of malignancy and all underwent total thyroidectomy with bilateral neck block dissection if indicated. Results of preoperative investigations were statistically analyzed using the Receiver operating characteristics (ROC) curve analysis as predictors for malignancy in comparison to postoperative paraffin sections.Results: Preoperative serum TG levels had 100% sensitivity and negative predictive value, while ACR-TIRADS scoring had 100% specificity and positive predictive value with accuracy rates of 95.35% and 97.67% for TG and TIRADS, respectively. ROC curve analysis defined preoperative ACR-TIRADS class and serum TG as highly diagnostic than FNAC for defining malignancy with non-significant difference between areas under curve for TIRADS and TG. For cases had intermediate risk of malignancy on TIRADS, IO-FS had missed 3, FNAC missed 4, while serum TG levels were very high in the 13 cases and were defined by ROC curve as the only significant predictor for malignancy.Conclusions: Preoperative estimation of serum TG showed higher diagnostic validity than FNAC, high predictability of cancer and ability to verify the intermediate findings on TIRADS. Combined preoperative TIRADS and TG estimation could accurately discriminate malignant TN with high accuracy and spare the need for preoperative FNAC or IO-FS. 

scholarly journals The predictive value of serum level of cystatin C for COVID-19 severity

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Luanfeng Lin ◽  
Xiaoling Chen ◽  
Junnian Chen ◽  
Xiaobin Pan ◽  
Pincang Xia ◽  
...  
Keyword(s):  
Cystatin C ◽  
Roc Curve ◽  
Proportional Hazards ◽  
Predictive Accuracy ◽  
Cox Proportional Hazards ◽  
Roc Curve Analysis ◽  
Serum Cystatin C ◽  
Serum Cystatin ◽  
Increased Risk ◽  
Cox Analysis

AbstractTo investigate the potential prognostic value of Serum cystatin C (sCys C) in patients with COVID-19 and determine the association of sCys C with severe COVID-19 illness. We performed a retrospective review of medical records of 162 (61.7 ± 13.5 years) patients with COVID-19. We assessed the predictive accuracy of sCys C for COVID-19 severity by the receiver operating characteristic (ROC) curve analysis. The participants were divided into two groups based on the sCys C cut-off value. We evaluated the association between high sCys C level and the development of severe COVID-19 disease, using a COX proportional hazards regression model. The area under the ROC curve was 0.708 (95% CI 0.594–0.822), the cut-off value was 1.245 (mg/L), and the sensitivity and specificity was 79.1% and 60.7%, respectively. A multivariable Cox analysis showed that a higher level of sCys C (adjusted HR 2.78 95% CI 1.25–6.18, p = 0.012) was significantly associated with an increased risk of developing a severe COVID-19 illness. Patients with a higher sCys C level have an increased risk of severe COVID-19 disease. Our findings suggest that early assessing sCys C could help to identify potential severe COVID-19 patients.

Wells and Geneva Scores Are Not Reliable Predictors of Pulmonary Embolism in Critically Ill Patients: A Retrospective Study

2018 ◽  
Vol 35 (10) ◽  
pp. 1112-1117 ◽  
Author(s):  
Adriana M. Girardi ◽  
Renata S. Bettiol ◽  
Tiago S. Garcia ◽  
Gustavo L. H. Ribeiro ◽  
Édison Moraes Rodrigues ◽  
...  
Keyword(s):  
Pulmonary Embolism ◽  
Critically Ill ◽  
Roc Curve ◽  
Critically Ill Patients ◽  
Predictive Value ◽  
Main Pulmonary Artery ◽  
Roc Curve Analysis ◽  
Artery Embolism ◽  
Wells Score ◽  
Revised Geneva Score

Background: Critically ill patients are at high risk for pulmonary embolism (PE). Specific PE prediction rules have not been validated in this population. The present study assessed the Wells and revised Geneva scoring systems as predictors of PE in critically ill patients. Methods: Pulmonary computed tomographic angiograms (CTAs) performed for suspected PE in critically ill adult patients were retrospectively identified. Wells and revised Geneva scores were calculated based on information from medical records. The reliability of both scores as predictors of PE was determined using receiver operating characteristic (ROC) curve analysis. Results: Of 138 patients, 42 (30.4%) were positive for PE based on pulmonary CTA. Mean Wells score was 4.3 (3.5) in patients with PE versus 2.7 (1.9) in patients without PE ( P < .001). Revised Geneva score was 5.8 (3.3) versus 5.1 (2.5) in patients with versus without PE ( P = .194). According to the Wells and revised Geneva scores, 56 (40.6%) patients and 49 (35.5%) patients, respectively, were considered as low probability for PE. Of those considered as low risk by the Wells score, 15 (26.8%) had filling defects on CTA, including 2 patients with main pulmonary artery embolism. The area under the ROC curve was 0.634 for the Wells score and 0.546 for the revised Geneva score. Wells score >4 had a sensitivity of 40%, specificity of 87%, positive predictive value of 59%, and negative predictive value of 77% to predict risk of PE. Conclusions: In this population of critically ill patients, Wells and revised Geneva scores were not reliable predictors of PE.

scholarly journals The joint prediction model of pBMI and eFBG in predicting gestational diabetes mellitus

2019 ◽  
Vol 48 (4) ◽  
pp. 030006051988919
Author(s):  
Ying Pan ◽  
Ji Hu ◽  
Shao Zhong
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
Roc Curve ◽  
Predictive Value ◽  
Fasting Blood Glucose ◽  
First Trimester ◽  
Credibility Interval ◽  
Roc Curve Analysis

Objective To explore the predictive value of prepregnancy body mass index (pBMI) and early gestational fasting blood glucose (eFBG) in gestational diabetes mellitus (GDM). Methods This case–control study enrolled pregnant women at 6 to 16 weeks of gestation. The pBMI, eFBG and glycosylated haemoglobin (HbA1c) was recorded in the first trimester of pregnancy. Receiver-operating characteristic (ROC) curve analysis was used to measure the efficacy of factors that predict GDM. Results A total of 2119 pregnant women were enrolled in this study. Of these, 386 were diagnosed with GDM and 1733 did not have GDM. The age (odds ratio [OR] 1.16; 95% confidence interval [CI] 1.13, 1.20), pBMI (OR 1.12; 95% CI 1.07, 1.17) and eFBG (OR 5.37; 95% CI 3.93, 7.34) were independent risk factors for GDM occurrence. The areas under the ROC curve of eFBG, pBMI and eFBG + pBMI were 0.68 (95% credibility interval 0.65, 0.71), 0.66 (95% credibility interval 0.63, 0.69) and 0.71 (95% credibility interval 0.69, 0.74), respectively. The area under the curve of eFBG + pBMI was significantly higher than that of eFBG or pBMI alone. Conclusion The combination of eFBG and pBMI had a high predictive value for GDM.

scholarly journals Characteristics of an Albumin Cobalt Binding Test for Assessment of Acute Coronary Syndrome Patients: A Multicenter Study

2001 ◽  
Vol 47 (3) ◽  
pp. 464-470 ◽  
Author(s):  
Robert H Christenson ◽  
Show Hong Duh ◽  
Wendy R Sanhai ◽  
Alan H B Wu ◽  
Verena Holtman ◽  
...  
Keyword(s):  
Acute Coronary Syndrome ◽  
Negative Predictive Value ◽  
Roc Curve ◽  
Predictive Value ◽  
Reference Interval ◽  
Reference Population ◽  
Human Albumin ◽  
Roc Curve Analysis ◽  
Coronary Syndrome ◽  
Cobalt Binding

Abstract Background: The ability of the N-terminal region of human albumin to bind cobalt is diminished by myocardial ischemia. The characteristics of an assay based on albumin cobalt binding were assessed in suspected acute coronary syndrome patients and in a control reference population. The ability of the Albumin Cobalt Binding (ACBTM) Test measurement at presentation to predict troponin-positive or -negative results 6–24 h later was also examined. Methods: We enrolled 256 acute coronary syndrome patients at four medical centers. Blood specimens were collected at presentation and then 6–24 h later. The dichotomous decision limit and performance characteristics of the ACB Test for predicting troponin-positive or -negative status 6 h-24 h later were determined using ROC curve analysis. Results for 32 patients could not be used because the time of onset of ischemia appeared to have been &gt;3 h before presentation or was uncertain. The reference interval was determined by parametric analysis to estimate the upper 95th percentile of a reference population (n = 109) of ostensibly healthy individuals. Results: Increased cTnI was found in 35 of 224 patients. The ROC curve area for the ACB Test was 0.78 [95% confidence interval (CI), 0.70–0.86]. At the optimum decision point of 75 units/mL, the sensitivity and specificity of the ACB Test were 83% (95% CI, 66–93%) and 69% (95% CI, 62–76%). The negative predictive value was 96% (95% CI, 91–98%), and the positive predictive value was 33% (95% CI, 24–44%). The within-run CV of the ACB Test was 7.3%. Results for the reference population were normally distributed; the one-sided parametric 95th percentile was 80.2 units/mL. Conclusions: This exploratory study suggests that the ACB Test has high negative predictive value and sensitivity in the presentation sample for predicting troponin-negative or -positive results 6–24 h later.

scholarly journals P204 Re-established CRP cut-off in UC; it may be a better predictor of mucosal remission

2020 ◽  
Vol 14 (Supplement_1) ◽  
pp. S240-S240
Author(s):  
O K Bakkaloglu ◽  
T Eskazan ◽  
S Bozcan ◽  
S Yıldırım ◽  
E A Kurt ◽  
...  
Keyword(s):  
Ulcerative Colitis ◽  
Positive Predictive Value ◽  
Roc Curve ◽  
Predictive Value ◽  
Curve Analysis ◽  
Roc Curve Analysis ◽  
Predictive Values ◽  
Mucosal Disease ◽  
Mayo Score ◽  
Montreal Classification

Abstract Background Although faecal calprotectin can predict mucosal remission in ulcerative colitis, the CRP level in this context is insufficient and frequently stay under the current cut off level. While some patients with active mucosal disease have normal CRP levels most patients in mucosal remission have much lower CRP levels. The aim of this study is to define CRP cut off levels in the prediction of mucosal remission, considering both extensiveness and severity, in ulcerative colitis. Methods We retrospectively reviewed colonoscopy reports of ulcerative colitis patients (who are not on any steroid treatment at that time) which were performed between December 2016 and March 2019 and also their CRP levels which were obtained at the same week of the colonoscopy examination. We excluded the data of patients with any other possible cause of inflammation or infection at the time of laboratory assessment. Degree of mucosal disease at colonoscopy was evaluated according to endoscopic Mayo score. Mucosal remission was defined as endoscopic Mayo score 0 or 1. The extent of mucosal inflammation was classified according to Montreal classification. The CRP level with optimal sensitivity and specificity for mucosal remission prediction was assessed by ROC curve analysis and positive and negative predictive values were also calculated. Results A total of 331 colonoscopy reports of 260 patients (122 m, 138 f) were involved in this study. There were no significant differences between ages of patients when compared with ex, and Montreal classification and we did not find any correlation between age and CRP levels. Sensitivity, specificity, positive predictive value and negative predictive values for 5 mg/l, 3 mg /l and 2 mg/l are summarised in Table 1. CRP levels which predict Mayo 0 disease, mucosal remission (Mayo 0–1) and Mayo 3 disease are shown in Table 2. At the ROC curve analysis, we found that CRP level of approximately 2.9 mg/l can predict mucosal remission with a 77% sensitivity and % 80 specificity in all examinations without grouping into a separate segmental disease. For subgroups with Montreal E1, E2 and E3 ROC curve analysis suggested 1,8 mg/l (sn. 84%, sp. 90%), 2,7 mg/l (sn. 75%, sp. 75%) and 3 mg/l (sn. 80%, sp. 80%) CRP levels can be used for prediction of mucosal remission respectively (Table 3). It is important to emphasise that 30% of all patients with Mayo 3 colonoscopy and further 23% of patients with Montreal E3–Mayo 3 activity have CRP levels below the regular cut-off value of 5 mg/l. Conclusion CRP cut-off level of approximately 2.9 mg/l can predict mucosal remission in ulcerative colitis better than standard cut-off of 5 mg/l which has a low positive predictive value and specificity even at extended and active mucosal disease.

scholarly journals Predictive value of plasma parameters in the risk of postpartum ketosis in dairy cows

2017 ◽  
Vol 61 (1) ◽  
pp. 91-95 ◽  
Author(s):  
Yu Cao ◽  
Jiang Zhang ◽  
Wei Yang ◽  
Cheng Xia ◽  
Hong-You Zhang ◽  
...  
Keyword(s):  
Dairy Cows ◽  
Roc Curve ◽  
Predictive Value ◽  
Curve Analysis ◽  
Paraoxonase 1 ◽  
Roc Curve Analysis ◽  
Plasma Parameters ◽  
Holstein Friesian ◽  
Plasma Activity ◽  
Friesian Cows

AbstractIntroduction:The predictive value of selected parameters in the risk of ketosis and fatty liver in dairy cows was determined.Material and Methods:In total, 21 control and 17 ketotic Holstein Friesian cows with a β-hydroxybutyrate (BHBA) concentration of 1.20 mmol/L as a cut-off point were selected. The risk prediction thresholds for ketosis were determined by receiver operating characteristic (ROC) curve analysis.Results:In the ketosis group, paraoxonase-1 (PON-1) activity and concentration of PON-1 and glucose (GLU) were decreased, and aminotransferase (AST) activity as well as BHBA and non-esterified fatty acid (NEFA) contents were increased. The plasma activity and concentration of PON-1 were significantly positively correlated with the level of plasma GLU. The plasma activity and concentration of PON-1 were significantly negatively correlated with the levels of AST and BHBA. According to ROC curve analysis, warning indexes of ketosis were: plasma PON-1 concentration of 46.79 nmol/L, GLU concentration of 3.04 mmol/L, AST concentration of 100 U/L, and NEFA concentration of 0.82 mmol/L.Conclusion:This study showed that the levels of PON-1, GLU, AST, and NEFA could be used as indicators to predict the risk of ketosis in dairy cows.

scholarly journals Multifactorial Landscape Parses to Reveal a Predictive Model for Knee Osteoarthritis

2021 ◽  
Vol 18 (11) ◽  
pp. 5933
Author(s):  
Monica Singh ◽  
Srishti Valecha ◽  
Rubanpal Khinda ◽  
Nitin Kumar ◽  
Surinderpal Singh ◽  
...  
Keyword(s):  
Knee Osteoarthritis ◽  
Roc Curve ◽  
Inflammatory Markers ◽  
Significant Risk ◽  
Predictive Ability ◽  
Predictive Marker ◽  
Risk Scores ◽  
Multivariable Logistic Regression Analysis ◽  
Poor Sleep ◽  
Roc Curve Analysis

The present study attempted to investigate whether concerted contributions of significant risk variables, pro-inflammatory markers, and candidate genes translate into a predictive marker for knee osteoarthritis (KOA). The present study comprised 279 confirmed osteoarthritis patients (Kellgren and Lawrence scale >2) and 287 controls. Twenty SNPs within five genes (CRP, COL1A1, IL-6, VDR, and eNOS), four pro-inflammatory markers (interleukin-6 (IL-6), interleuin-1 beta (IL-1β), tumor necrosis factor alpha (TNF-α), and high sensitivity C-reactive protein (hsCRP)), along with significant risk variables were investigated. A receiver operating characteristic (ROC) curve was used to observe the predictive ability of the model for distinguishing patients with KOA. Multivariable logistic regression analysis revealed that higher body mass index (BMI), triglycerides (TG), poor sleep, IL-6, IL-1β, and hsCRP were independent predictors for KOA after adjusting for the confounding from other risk variables. Four susceptibility haplotypes for the risk of KOA, AGT, GGGGCT, AGC, and CTAAAT, were observed within CRP, IL-6, VDR, and eNOS genes, which showed their impact in recessive β(SE): 2.11 (0.76), recessive β(SE): 2.75 (0.59), dominant β(SE): 1.89 (0.52), and multiplicative modes β(SE): 1.89 (0.52), respectively. ROC curve analysis revealed the model comprising higher values of BMI, poor sleep, IL-6, and IL-1β was predictive of KOA (AUC: 0.80, 95%CI: 0.74–0.86, p< 0.001), and the strength of the predictive ability increased when susceptibility haplotypes AGC and GGGGCT were involved (AUC: 0.90, 95%CI: 0.87–0.95, p< 0.001).This study offers a predictive marker for KOA based on the risk scores of some pertinent genes and their genetic variants along with some pro-inflammatory markers and traditional risk variables.

scholarly journals Impact of comorbidity burden on mortality in patients with COVID-19 using the Korean health insurance database

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Soo Ick Cho ◽  
Susie Yoon ◽  
Ho-Jin Lee
Keyword(s):  
Risk Factors ◽  
Health Insurance ◽  
Roc Curve ◽  
Significant Risk ◽  
Curve Analysis ◽  
Roc Curve Analysis ◽  
Comorbidity Burden ◽  
Comorbidity Index ◽  
The Impact ◽  
Age And Sex

AbstractWe aimed to investigate the impact of comorbidity burden on mortality in patients with coronavirus disease (COVID-19). We analyzed the COVID-19 data from the nationwide health insurance claims of South Korea. Data on demographic characteristics, comorbidities, and mortality records of patients with COVID-19 were extracted from the database. The odds ratios of mortality according to comorbidities in these patients with and without adjustment for age and sex were calculated. The predictive value of the original Charlson comorbidity index (CCI) and the age-adjusted CCI (ACCI) for mortality in these patients were investigated using the receiver operating characteristic (ROC) curve analysis. Among 7590 patients, 227 (3.0%) had died. After age and sex adjustment, hypertension, diabetes mellitus, congestive heart failure, dementia, chronic pulmonary disease, liver disease, renal disease, and cancer were significant risk factors for mortality. The ROC curve analysis showed that an ACCI threshold > 3.5 yielded the best cut-off point for predicting mortality (area under the ROC 0.92; 95% confidence interval 0.91–0.94). Our study revealed multiple risk factors for mortality in patients with COVID-19. The high predictive power of the ACCI for mortality in our results can support the importance of old age and comorbidities in the severity of COVID-19.

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