scholarly journals A Novel Inflammation-Based Prognostic Score: The Fibrinogen/Albumin Ratio Predicts Prognoses of Patients after Curative Resection for Hepatocellular Carcinoma

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Qiaodong Xu ◽  
Yongcong Yan ◽  
Songgang Gu ◽  
Kai Mao ◽  
Jianlong Zhang ◽  
...  
Keyword(s):  
Roc Curve ◽  
Prognostic Value ◽  
Curative Resection ◽  
Operating Characteristic ◽  
Curve Analysis ◽  
Prognostic Scores ◽  
Roc Curve Analysis ◽  
Optimal Cutoff ◽  
Albumin Ratio ◽  
Cutoff Value

Background. Inflammation is an important hallmark of cancer. Fibrinogen and albumin are both vital factors in systemic inflammation. This study investigated the prognostic value of the fibrinogen/albumin ratio in HCC patients who underwent curative resection. Methods. HCC patients (n=151) who underwent curative resection were evaluated retrospectively. The optimal cutoff value for the fibrinogen/albumin ratio was selected by receiver operating characteristic (ROC) curve analysis. Correlations between preoperative fibrinogen/albumin ratios and clinicopathologic characteristics were analyzed by χ2 test. The area under the receiver operating characteristic curve (AUC) was calculated to compare the prognostic value of the fibrinogen/albumin ratio with other prognostic scores (neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and albumin-bilirubin (ALBI) score). The overall survival (OS) and time to recurrence (TTR) were assessed by the log-rank test and the Cox proportional hazard regression model. Results. An optimal cutoff value of the preoperative fibrinogen/albumin ratio (0.062) was determined for 151 patients who underwent curative resection for HCC via a ROC curve analysis. Fibrinogen/albumin ratio > 0.062 was significantly associated with microvascular invasion, an advanced BCLC stage, and ALBI grade. Multivariate analyses revealed that fibrinogen/albumin ratio was an independent predictor for OS (P=0.003) and TTR (P=0.035). The prognostic ability of fibrinogen/albumin ratio was comparable to other prognostic scores (NLR, PLR, and ALBI score) by AUC analysis. Patients with a fibrinogen/albumin ratio > 0.062 had lower 1-, 3-, and 5-year OS rates (66.0%, 41.8%, and 28.2% versus 81.9%, 69.3%, and 56.1%, resp., P<0.001) and higher 1-, 3-, and 5-year recurrence rates (60.9%, 79.2%, and 90.5% versus 49.5%, 69.1%, and 77.1%, resp., P=0.008) compared with patients with fibrinogen/albumin ratio ≤ 0.062. Conclusion. The preoperative fibrinogen/albumin ratio is an effective prognostic factor for HCC patients who underwent curative resection. An elevated fibrinogen/albumin ratio significantly correlates with poorer survival and a higher risk of recurrence in HCC patients.

scholarly journals The Predictive Value of Language Scales: Bayley Scales of Infant and Toddler Development Third Edition in Correlation With Korean Sequenced Language Scale for Infant

2020 ◽  
Vol 44 (5) ◽  
pp. 378-385
Author(s):  
Joung Hyun Doh ◽  
Soo A Kim ◽  
Kiyoung Oh ◽  
Yuntae Kim ◽  
Nodam Park ◽  
...  
Keyword(s):  
Roc Curve ◽  
Area Under The Curve ◽  
Curve Analysis ◽  
Roc Curve Analysis ◽  
Optimal Cutoff ◽  
Cutoff Value ◽  
Average Group ◽  
Toddler Development ◽  
Relationship Of ◽  
Bayley Scales

Objective To compare the relationship of the Bayley Scales of Infant and Toddler Development 3rd Edition (K-BSID-III) language score and the Sequenced Language Scale for Infant (SELSI) score and evaluate the sensitivity and specificity of K-BSID-III language score and optimal cutoff value with receiver operator characteristic (ROC) curve analysis in infants and toddlers with delayed language development.Methods A total of 104 children with suspected language developmental delay were included in this retrospective study. Subjects were tested using the K-BSID-III and SELSI and subdivided into several groups according to the severity of language scores. ROC curve analysis was performed to assess K-BSID-III for delayed language development.Results Receptive and expressive language subscales of the K-BSID-III showed markedly significant correlation with the SELSI scores (p<0.001). ROC analysis showed an area under the curve of 0.877 (p<0.001) in SELSI receptive score and 0.935 (p<0.001) in SELSI expressive score. The optimal cutoff value where sensitivity of 85% and specificity of 81% were achieved with the K-BSID-III receptive score was 1.50 (between average and low average) in the SELSI receptive score. The optimal cutoff value where sensitivity of 96% and specificity of 82% were achieved with the K-BSID-III expressive score was also 1.50 in the SELSI expressive score.Conclusion In this study, the correlations between K-BSID-III and SELSI language scores were statistically significant. However, the interpretation should be considered carefully in low average group due to tendency of underestimation of delayed language development.

scholarly journals Prognostic Value of C-Reactive Protein to Albumin Ratio in Glioblastoma Multiforme Patients Treated with Concurrent Radiotherapy and Temozolomide

2020 ◽  
Vol 2020 ◽  
pp. 1-8 ◽  
Author(s):  
Erkan Topkan ◽  
Ali A. Besen ◽  
Huseyin Mertsoylu ◽  
Ahmet Kucuk ◽  
Berrin Pehlivan ◽  
...  
Keyword(s):  
Glioblastoma Multiforme ◽  
Roc Curve ◽  
Curve Analysis ◽  
Prognostic Impact ◽  
C Reactive Protein ◽  
Roc Curve Analysis ◽  
Albumin Ratio ◽  
Cutoff Value ◽  
Entire Cohort ◽  
Reactive Protein

Objective. We investigated the prognostic impact of C-reactive protein to albumin ratio (CRP/Alb) on the survival outcomes of newly diagnosed glioblastoma multiforme (GBM) patients treated with radiotherapy (RT) and concurrent plus adjuvant temozolomide (TMZ). Methods. The pretreatment CRP and Alb records of GBM patients who underwent RT and concurrent plus adjuvant TMZ were retrospectively analyzed. The CRP/Alb was calculated by dividing serum CRP level by serum Alb level obtained prior to RT. The availability of significant cutoff value for CRP/Alb that interacts with survival was assessed with the receiver-operating characteristic (ROC) curve analysis. The primary endpoint was the association between the CRP/Alb and the overall survival (OS). Results. A total of 153 patients were analyzed. At a median follow-up of 14.7 months, median and 5-year OS rates were 16.2 months (95% CI: 12.5–19.7) and 9.5%, respectively, for the entire cohort. The ROC curve analysis identified a significant cutoff value at 0.75 point (area under the curve: 74.9%; sensitivity: 70.9%; specificity: 67.7%; P<0.001) for CRP/Alb that interacts with OS and grouped the patients into two: CRP/Alb <0.75 (n = 61) and ≥0.75 (n = 92), respectively. Survival comparisons revealed that the CRP/Alb <0.75 was associated with a significantly superior median (22.5 versus 15.7 months; P<0.001) and 5-year (20% versus 0%) rates than the CRP/Alb ≥0.75, which retained its independent significance in multivariate analysis (P<0.001). Conclusion. Present results suggested the pretreatment CRP/Alb as a significant and independent inflammation-based index which can be utilized for further prognostic lamination of GBM patients.

scholarly journals Presepsin values and prognostic nutritional index predict mortality in intensive care unit patients with sepsis: a pilot study

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Yuichiro Shimoyama ◽  
Osamu Umegaki ◽  
Noriko Kadono ◽  
Toshiaki Minami
Keyword(s):  
Multivariate Analysis ◽  
Roc Curve ◽  
Operating Characteristic ◽  
Prognostic Nutritional Index ◽  
Early Mortality ◽  
Curve Analysis ◽  
Rank Test ◽  
Roc Curve Analysis ◽  
Log Rank Test ◽  
Nutritional Index

Abstract Objective Sepsis is a major cause of mortality for critically ill patients. This study aimed to determine whether presepsin values can predict mortality in patients with sepsis. Results Receiver operating characteristic (ROC) curve analysis, Log-rank test, and multivariate analysis identified presepsin values and Prognostic Nutritional Index as predictors of mortality in sepsis patients. Presepsin value on Day 1 was a predictor of early mortality, i.e., death within 7 days of ICU admission; ROC curve analysis revealed an AUC of 0.84, sensitivity of 89%, and specificity of 77%; and multivariate analysis showed an OR of 1.0007, with a 95%CI of 1.0001–1.0013 (p = 0.0320).

scholarly journals Ascitic pseudouridine discriminates between hepatocarcinoma-derived ascites and cirrhotic ascites

1996 ◽  
Vol 42 (11) ◽  
pp. 1843-1846 ◽  
Author(s):  
G Castaldo ◽  
M Intrieri ◽  
G Calcagno ◽  
L Cimino ◽  
G Budillon ◽  
...  
Keyword(s):  
Liver Biopsy ◽  
Roc Curve ◽  
Curve Analysis ◽  
Diagnostic Sensitivity ◽  
Serum Concentrations ◽  
Diagnostic Specificity ◽  
Roc Curve Analysis ◽  
Neoplastic Cells ◽  
Cutoff Value ◽  
Cirrhotic Patients

Abstract Various biochemical indexes discriminate neoplastic from nonneoplastic ascites. However, within the latter group, the distinction between cirrhotic ascites and ascites caused by hepatocarcinoma (HC) is usually based on liver biopsy or cytology. HC-derived ascites is included in the group of nonneoplastic ascites because it is not associated with peritoneal spreading of neoplastic cells. In 54 cases of cirrhotic ascites and 17 cases of HC ascites, all histologically diagnosed, ascitic pseudouridine concentrations discriminated cirrhotic from HC ascites. For example, using the cutoff value of 4.25 mumol/L (obtained by ROC curve analysis) resulted in a diagnostic sensitivity of 88.2% and a diagnostic specificity of 90.8%. Moreover, in cirrhosis, the ascitic concentrations of pseudouridine were lower than serum concentrations, and the two sets of values were correlated; in HC, however, ascitic pseudouridine concentrations were higher than serum concentrations, and the two were unrelated. These findings strongly suggest that in cirrhotic patients ascitic pseudouridine derives from serum by diffusion, whereas in HC patients the mechanism appears to be more complex.

Serum diiodotyrosine—a biomarker to differentiate destructive thyroiditis from Graves’ disease

2021 ◽  
Author(s):  
Naoya Fujita ◽  
Yosuke Ono ◽  
Azusa Sano ◽  
Motohiro Kimata ◽  
Seigo Oyama ◽  
...  
Keyword(s):  
Roc Curve ◽  
Operating Characteristic ◽  
Cross Sectional Study ◽  
Curve Analysis ◽  
Diagnostic Methods ◽  
Graves Disease ◽  
Roc Curve Analysis ◽  
Cross Sectional ◽  
Chromatography Tandem Mass Spectrometry ◽  
Liquid Chromatography Tandem Mass

Objective: Conventional diagnostic methods are limited in their ability to differentiate destructive thyroiditis from Graves’ disease. We hypothesised that serum diiodotyrosine (DIT) and monoiodotyrosine (MIT) levels could be biomarkers for differentiating destructive thyroiditis from Graves’ disease. Design: Patients with destructive thyroiditis (n = 13) and Graves’ disease (n = 22) were enrolled in this cross-sectional study. Methods: We assayed the serum DIT and MIT levels using liquid chromatography-tandem mass spectrometry. A receiver operating characteristic (ROC) curve analysis was used to determine the sensitivity and specificity of the serum DIT and MIT levels as biomarkers for differentiating destructive thyroiditis from Graves’ disease. Results: The serum DIT and MIT levels were significantly higher in patients with destructive thyroiditis than in those with Graves’ disease. The ROC curve analysis showed that the serum DIT levels (≥ 359.9 pg/mL) differentiated destructive thyroiditis from Graves’ disease, significantly, with 100.0% sensitivity and 95.5% specificity (P < .001). The diagnostic accuracy of the serum MIT levels (≥119.4 pg/mL) was not as high as that of the serum DIT levels (sensitivity, 84.6%; specificity, 77.3%; P = .001). Conclusions: The serum DIT levels may serve as a novel diagnostic biomarker for differentiating destructive thyroiditis from Graves’ disease.

scholarly journals Differentiation of pontine infarction by size

Open Medicine ◽  
2020 ◽  
Vol 15 (1) ◽  
pp. 160-166
Author(s):  
Lei Yang ◽  
Wei Qin ◽  
Yue Li ◽  
Shuna Yang ◽  
Hua Gu ◽  
...  
Keyword(s):  
Roc Curve ◽  
Operating Characteristic ◽  
Lesion Size ◽  
Parent Artery ◽  
Optimal Cutoff ◽  
Cutoff Value ◽  
High Prevalence ◽  
Pontine Infarction ◽  
Artery Disease ◽  
Diagnostic Indicator

AbstractPurposeWe hypothesized that the current criteria may be unsuitable for lacunar pontine infarctions (LPI) diagnosis and that size criteria may indicate different stroke mechanisms.MethodsA total of 102 patients with isolated pontine infarctions were divided into a parent artery disease (PAD) and non-PAD groups according to stenosis of basilar artery. Further, 86 patients from the non-PAD group were divided into paramedian pontine infarction (PPI) and LPI groups. Data were collected from the three groups. The “golden” criterion for LPI was established based on the location of the infarction. A receiver operating characteristic (ROC) curve were used to evaluate the optimal cutoff value to use as an LPI diagnostic indicator.ResultsThere was a high prevalence of patients with PAD in both asymptomatic carotid atherosclerosis (ACAS) and PPI groups. Patients with PPI had a higher prevalence in diabetes and ACAS than those with LPI. Based upon the ROC curve, the optimal lesion size cutoff value for use as an LPI diagnostic indicator was 11.8 mm.ConclusionsDiffusion weighted imaging (DWI) cutoff points for predicting LPI may differ from that of the middle cerebral artery territory. The diameter of LPI may also indicate different stroke mechanisms.

Value of multimodality imaging in the diagnosis of breast lesions with calcification: A retrospective study

2020 ◽  
Vol 76 (1) ◽  
pp. 85-98 ◽  
Author(s):  
Wenjuan Tong ◽  
Xiaoling Zhang ◽  
Jia Luo ◽  
Fushun Pan ◽  
Jinyu Liang ◽  
...  
Keyword(s):  
Roc Curve ◽  
Operating Characteristic ◽  
Multimodality Imaging ◽  
Curve Analysis ◽  
Breast Lesions ◽  
Roc Curve Analysis ◽  
Diagnostic Efficacy ◽  
Contrast Enhanced ◽  
Conventional Ultrasound ◽  
Group A

PURPOSE: To assess the value of conventional ultrasound (US), contrast-enhanced ultrasound (CEUS) and mammography in the diagnosis of breast lesions with calcifications. METHODS: A total of 87 breast lesions with calcification were subjected to US, CEUS and mammography and divided into 3 groups: Group A (all cases), Group A1 (31 cases who underwent US and CEUS first followed by mammography), and Group A2 (56 cases who underwent mammography first followed by US and CEUS). A receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic efficacy of different methods in different groups. RESULTS: In Group A, the area under the ROC curve (AUROC) of CEUS were 0.937, which were significantly higher than that of mammography (p < 0.05). In Group A1, the AUROC of CEUS were 0.842, which were not significantly different from that of US and mammography (p > 0.05). In Group A2, the AUROC of CEUS were 0.987, which were significantly higher than that of mammography and US (p < 0.05). CONCLUSION: Based on the mammography results, the combination of US and CEUS might improve the diagnostic efficacy in breast lesions with calcification.

Regular papers / Articles ordinairesReceiver operating characteristic (ROC) curve analysis of the effectiveness of construction planning efforts in Australia and the United Kingdom

2003 ◽  
Vol 30 (1) ◽  
pp. 159-167 ◽  
Author(s):  
O O Faniran ◽  
D G Proverbs
Keyword(s):  
United Kingdom ◽  
Roc Curve ◽  
Construction Projects ◽  
Operating Characteristic ◽  
Curve Analysis ◽  
Construction Planning ◽  
Roc Curve Analysis ◽  
Building Projects ◽  
The United Kingdom ◽  
Planning Project

This paper presents the results of a receiver operating characteristic (ROC) curve analysis of the effectiveness of construction planning efforts, based on samples of building projects in Australia and the United Kingdom. The results of the study provide an evaluation of the extent of the effort that must be invested in planning and control activities to achieve success in the performance of construction projects. The study also illustrates the potential application of ROC curve analysis in construction engineering and management research. Planning efforts in a sample of 52 building projects in Australia and 37 building projects in the United Kingdom were evaluated and compared. This study builds on work done in an earlier study in which the concept of optimal planning of construction projects was explored. The ROC curve analysis offers several advantages over the regression methodology employed in the previous optimal planning study. The graphical representation of the relationship between sensitivity and specificity over all possible diagnostic cutoff points provides an insight into the interactions of the variables that was not apparent in the original methodology.Key words: construction planning, project planning, project management, ROC curve analysis, Australia, United Kingdom.

Sign in / Sign up

Export Citation Format

Share Document