Pelvic Injury Survival Analysis for a Finite Element Human Body Model Using Multiple Data Sets

2018 ◽  
Author(s):  
Caitlin M. Weaver ◽  
Anna N. Miller ◽  
Joel D. Stitzel
Keyword(s):  
Finite Element ◽  
Pelvic Fracture ◽  
Human Body ◽  
Roc Curve ◽  
Predictive Power ◽  
Curve Analysis ◽  
Roc Curve Analysis ◽  
Cross Sectional ◽  
Multiple Data Sets ◽  
Human Body Models

Finite element (FE) computational human body models (HBMs) have gained popularity over the past several decades as human surrogates for use in blunt injury research. FE HBMs are critical for the analysis of local injury mechanisms. These metrics are challenging to measure experimentally and demonstrate an important advantage of HBMs. The objective of this study is to evaluate the injury risk predictive power of localized metrics to predict the risk of pelvic fracture in a FE HBM. The Global Human Body Models Consortium (GHBMC) 50th percentile detailed male model (v4.3) was used for this study. Cross-sectional and cortical bone surface instrumentation was implemented in the GHBMC pelvis. Lateral impact FE simulations were performed using input data from tests performed on post mortem human subjects (PMHS). Predictive power of the FE force and strain outputs on localized fracture risk was evaluated using the receiver operator characteristic (ROC) curve analysis. The ROC curve analysis showed moderate predictive power for the superior pubic ramus and sacrum. Additionally, cross-sectional force was compared to a range of percentile outputs of maximum principal, minimum principal, and effective cortical element strains. From this analysis it was determined that cross-sectional force was the best predictor of localized pelvic fracture.

Finite Element-Based Pelvic Injury Metric Creation and Validation in Lateral Impact for a Human Body Model

2018 ◽  
Vol 140 (6) ◽  
Author(s):  
Caitlin M. Weaver ◽  
Alexander M. Baker ◽  
Matthew L. Davis ◽  
Anna N. Miller ◽  
Joel D. Stitzel
Keyword(s):  
Finite Element ◽  
Human Body ◽  
Roc Curve ◽  
Injury Risk ◽  
Curve Analysis ◽  
Pelvic Injury ◽  
Fe Model ◽  
Lateral Impact ◽  
Roc Curve Analysis ◽  
Cross Sectional

Pelvic fractures are serious injuries resulting in high mortality and morbidity. The objective of this study is to develop and validate local pelvic anatomical, cross section-based injury risk metrics for a finite element (FE) model of the human body. Cross-sectional instrumentation was implemented in the pelvic region of the Global Human Body Models Consortium (GHBMC M50-O) 50th percentile detailed male FE model (v4.3). In total, 25 lateral impact FE simulations were performed using input data from cadaveric lateral impact tests performed by Bouquet et al. The experimental force-time data were scaled using five normalization techniques, which were evaluated using log rank, Wilcoxon rank sum, and correlation and analysis (CORA) testing. Survival analyses with Weibull distribution were performed on the experimental peak force (scaled and unscaled) and the simulation test data to generate injury risk curves (IRCs) for total pelvic injury. Additionally, IRCs were developed for regional injury using cross-sectional forces from the simulation results and injuries documented in the experimental autopsies. These regional IRCs were also evaluated using the receiver operator characteristic (ROC) curve analysis. Based on the results of all the evaluation methods, the equal stress equal velocity (ESEV) and ESEV using effective mass (ESEV-EM) scaling techniques performed best. The simulation IRC shows slight under prediction of injury in comparison to these scaled experimental data curves. However, this difference was determined not to be statistically significant. Additionally, the ROC curve analysis showed moderate predictive power for all regional IRCs.

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.

Prevalence of self-reported versus diagnosed dentinal hypersensitivity: a cross-sectional study and ROC curve analysis

2019 ◽  
Vol 77 (3) ◽  
pp. 219-223 ◽  
Author(s):  
Nayara Franciele Figueiredo Barroso ◽  
Polyana Matos Alcântara ◽  
Adriana Maria Botelho ◽  
Dhelfeson Willya Douglas-de-Oliveira ◽  
Patrícia Furtado Gonçalves ◽  
...  
Keyword(s):  
Roc Curve ◽  
Cross Sectional Study ◽  
Curve Analysis ◽  
Sectional Study ◽  
Roc Curve Analysis ◽  
Cross Sectional ◽  
Dentinal Hypersensitivity

scholarly journals Sensitivity and specificity of waist circumference as a single screening tool for assessment of overweight and obesity

2017 ◽  
Vol 4 (11) ◽  
pp. 4254
Author(s):  
Anubrata Karmakar ◽  
Shobhit Garg ◽  
Aparajita Dasgupta ◽  
Bobby Paul ◽  
Swanya P. Maharana
Keyword(s):  
Waist Circumference ◽  
Sensitivity And Specificity ◽  
Roc Curve ◽  
Screening Tool ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
Curve Analysis ◽  
Roc Curve Analysis ◽  
Public Health Perspective ◽  
Cross Sectional

Background: Generalised and central obesity are established risk factors for metabolic syndrome and cardiovascular diseases. Easy assessment of overweight or obesity is the need of the hour from public health perspective. Waist circumference (WC) can be a simple screening tool for identifying overweight individuals since measuring WC is simple, inexpensive, less time consuming, convenient for self-monitoring and needs no complicated calculation as BMI.Methods: A community based cross-sectional study was conducted in January-February 2017 among 338 adults, in a village of Singur Block, West Bengal. Height, weight and WC were measured for each subject. Receiver Operating Characteristic (ROC) curve analysis was used to estimate the cut-off values of WC.Results: The sensitivity and specificity of WC ≥90 centimeters for men for identifying overweight (BMI ≥25) were 78.8% and 75.6% respectively, whereas those of WC ≥80 cm for women were 80.3% and 44% respectively. ROC curve analysis revealed good diagnostic accuracy at 88.5 cm for WC cut-off for men (area under curve (AUC) 0.854, sensitivity 86.5%, specificity 67.6%) and fair accuracy (AUC 0.744, sensitivity 80.3%, specificity 44%) for WC cut-off for 80 cm for women.Conclusions: This study shows, WC can be used for screening of overweight individual infield practice as measuring tape is inexpensive and easy-to-carry compared to a weighing scale. More research may be done on larger sample size to establish an optimal WC cut-off value for Indian population. 

scholarly journals Predicting Outcome after Total Hip Arthroplasty: The Role of Preoperative Patient-Reported Measures

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Markus Weber ◽  
Florian Zeman ◽  
Benjamin Craiovan ◽  
Max Thieme ◽  
Moritz Kaiser ◽  
...  
Keyword(s):  
Total Hip Arthroplasty ◽  
Hip Arthroplasty ◽  
Roc Curve ◽  
Predictive Power ◽  
Curve Analysis ◽  
Roc Curve Analysis ◽  
Total Hip ◽  
Good Outcome ◽  
Sf 36 ◽  
Predicting Outcome

Choosing the appropriate patient for surgery is crucial for good outcome in total hip arthroplasty (THA). Therefore, parameters predicting outcome preoperatively are of major interest. In the current study, we compared the predictive power of different presurgical measures in minimally invasive THA. In the course of a prospective clinical trial preoperative HOOS, EQ-5D and SF-36 were obtained in 140 patients undergoing THA. Responder rate was defined by the modified OMERACT-OARSI criteria at six-month-, one-year, two-year, and three-year follow-up. Logistic regression was performed to compare the different questionnaires regarding their power of predicting positive responders. ROC-curve analysis was used to define benchmarks in preoperative measures associated with good outcome. Preoperative HOOS (p<0.001), EQ-5D (p=0.007), and PCS of SF-36 (p<0.001) were higher in responders than in nonresponders whereas no differences between responders and nonresponders were found for preoperative MCS (p=0.96) of SF-36. However, preoperative HOOS revealed best predictive power (OR=0.84 95%CI=0.78-0.90, p<0.001, Pseudo R-Squared according to Nagelkerke=0.48, effect size according to Cohen=0.96) compared to all other preoperative measures. Multivariable analysis confirmed preoperative HOOS as an independent parameter correlating with postoperative responder status (OR=0.76, 95% CI=0.66–0.88, p<0.001). In ROC-curve analysis nonresponders were identified with a sensitivity of 91.7% and specificity of 68.9% using a cutoff in preoperative HOOS of 40.3. Presurgical HOOS can predict outcome in THA better than other preoperative outcome measures. Patients with a preoperative HOOS value less than 40.3 have the highest probability of a positive response in terms of pain and function after THA.

scholarly journals SAT0412 ACCURACY OF AN INSTRUMENT FOR SCREENING PSORIATIC ARTHRITIS AMONG PSORIATIC PATIENTS: RESULTS FROM THE MULTICENTRE ITALIAN STUDY HERACLES (SCREENING STRATEGIES FOR RHEUMATOLOGICAL REFERRAL OF PSORIATIC SUBJECTS AIMED TO DISCLOSE PSORIATIC ARTHRITIS)

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1158.2-1159
Author(s):  
G. De Marco ◽  
M. Manara ◽  
P. Gisondi ◽  
L. Idolazzi ◽  
R. Ramonda ◽  
...  
Keyword(s):  
Psoriatic Arthritis ◽  
Sensitivity And Specificity ◽  
Roc Curve ◽  
Diagnostic Delay ◽  
Curve Analysis ◽  
The Other ◽  
Roc Curve Analysis ◽  
Cross Sectional ◽  
Clinical Criteria ◽  
Significant Difference

Background:Identifying psoriatic arthritis (PsA) among people with psoriasis is often challenging due to low specificity of symptoms at early PsA stage and/or delayed referral to the rheumatologist. Screening instruments -assisting the dermatologist to decide when rheumatological assessment is beneficial- have potential to reduce the diagnostic delay.Objectives:To evaluate the accuracy of a dermatologist-filled-out questionnaire designed for screening PsA among psoriatic patients under dermatology care.Methods:HERACLES is a multicentre, cross-sectional study running at 9 Italian dermatology and rheumatology tertiary centres. All participants were under dermatology care for skin psoriasis. Previous diagnosis of PsA precluded eligibility. Dermatologists at each site assessed consecutive psoriatic subjects, filled in the specifically-designed HERACLES questionnaire (HQ, Figure 1) and finally referred the participants to rheumatologists for clinical evaluation. All participants filled in the ToPAS, PASE, PEST and EARP questionnaires. Rheumatologists assessed the participants regardless of the questionnaires’ scores. The gold standard applied to assess the instruments’ accuracy was the diagnosis of PsA as established by the rheumatologists. ROC curve analysis evaluated the performance of the scores associated with the clinical criteria listed in the HQ, estimating the sensitivity and specificity of different cut-off levels. Further exploratory ROC curve analysis compared HQ performance to that of the other four questionnaires tested.Figure 1.Results:Out of 759 subjects enrolled, 524 (69%) attended rheumatology assessment. Rheumatologists diagnosed PsA in 73/524 patients (13.9%, Figure 2). Mean age was 53 (SD 16) years and 46% were female. Mean psoriasis duration was 20 (SD 19) years. The area under the ROC curve of HQ was 0.775. The HQ score cut-off value of 2 yielded a sensitivity of 92% and a specificity of 47%; a cut-off value of 3 yielded a sensitivity of 66% and a specificity of 75%. The comparison between the ROC curve of the HQ and those of the other four questionnaires evaluated did not show any significant difference (p=0.523 versus TOPAS; p=0.201 versus PASE; p=0.345 versus PEST and p=0.240 versus EARP).Figure 2.Conclusion:The HERACLES questionnaire, a tool designed for dermatologists, showed good sensitivity and specificity in identifying PsA cases among subjects with cutaneous psoriasis.Acknowledgments:The HERACLES project was supported by a research grant from FIRA and Pfizer Italia SRLDisclosure of Interests:Gabriele De Marco: None declared, Maria Manara Consultant of: Consultant and/or speaker for Eli-Lilly, MSD, Sanofi-Genzyme, Novartis, Alfa Wasserman and Cellgene, Speakers bureau: Consultant and/or speaker for Eli-Lilly, MSD, Sanofi-Genzyme, Novartis, Alfa Wasserman and Cellgene, Paolo Gisondi: None declared, Luca Idolazzi: None declared, Roberta Ramonda Speakers bureau: Novartis, Celgene, Janssen, Pfizer, Abbvie, Lilly, Stefano Piaserico: None declared, Alberto Cauli: None declared, Marco Amedeo Cimmino: None declared, Veronica Tomatis: None declared, Carlo Salvarani: None declared, Rosanna Scrivo: None declared, Anna Zanetti: None declared, Greta Carrara: None declared, Carlo Alberto Scirè: None declared, Angelo Cattaneo: None declared, Antonio Marchesoni Speakers bureau: Abbvie, Pfizer, UCB, Novartis, Celgene, Eli Lilly

scholarly journals Creatinine clearance levels are associated with the incidence of preeclampsia

2018 ◽  
pp. 213-217
Author(s):  
Jesslyn M Sanusi ◽  
Hermie M. M. Tendean ◽  
Juneke J. Kaeng
Keyword(s):  
Creatinine Clearance ◽  
Roc Curve ◽  
Statistical Test ◽  
Curve Analysis ◽  
P Value ◽  
Roc Curve Analysis ◽  
Cross Sectional ◽  
Spss Software ◽  
Literature Theory ◽  
Normotensive Pregnancy

Abstract Objective: Determine thecorrelation between creatinine clearance relationship with preeclampsia incidence. Method: Cross sectional research. Result: Creatinine clearance examination conducted on 60 sample of pregnant women > 20 weeks,30 normotensive samples and 30 preeclampsia samples. The obtained data analyzed using SPSS software version 22.0 and discussed using the existing literature theory. Creatinine clearance average level in normotensive pregnancy 124.650 ± 14.3699ml/minutes/1,73m2and preeclampsia 74.003 ± 23.169ml/minutes/1,73m2. After Mann-Whitney statistical test obtained p value = 0,000. From ROC curve analysis for creatinine clearance obtained sensitivityvalue 100% and specificity 99,53%. Conclusion:There is a significant correlation between the creatinine clearance levels with preeclampsia. Keywords: creatinine clearance, normotensive, preeclampsia.   Abstrak Tujuan: Menentukan hubungan antara creatinine clearance dengan kejadian preeklamsia. Metode: Penelitian potong lintang. Hasil:Dilakukan pemeriksaan creatinine clearance pada 60 sampel ibuhamil > 20 minggu, 30 sampel darah normal dan 30 sampel preeklamsia. Data yang diperoleh dianalisa dengan menggunakan software SPSS versi 22.0 dan dibahas dengan menggunakan  teori literatur yang ada. Kadar rerata creatinine clearance pada kehamilan normotensi 124,650 ± 14,3699 ml / menit / 1,73m2 dan preeklampsia 74,003 ± 23,169 ml / menit / 1,73m2. Setelah uji statistik Mann-Whitney diperoleh nilai p = 0,000. Dari analisis kurva ROC untuk creatinine clearance diperoleh nilai sensitivitas 100% dan spesifisitas 99,53%. Kesimpulan: Ada hubungan yang signifikan  antara creatinine clearance dengan kejadian preeklamsia. Kata kunci: creatinine clearance, normotensi, preeklampsia.

Acute heart failure: predicting early in-hospital outcomes

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
M Santos ◽  
S Paula ◽  
I Almeida ◽  
H Santos ◽  
H Miranda ◽  
...  
Keyword(s):  
Heart Failure ◽  
Logistic Regression ◽  
Acute Heart Failure ◽  
Roc Curve ◽  
Real Life ◽  
Study Data ◽  
Curve Analysis ◽  
Older Age ◽  
Invasive Ventilation ◽  
Roc Curve Analysis

Abstract Funding Acknowledgements Type of funding sources: None. Introduction Patients (P) with acute heart failure (AHF) are a heterogeneous population. Risk stratification at admission may help predict in-hospital complications and needs. The Get With The Guidelines Heart Failure score (GWTG-HF) predicts in-hospital mortality (M) of P admitted with AHF. ACTION ICU score is validated to estimate the risk of complications requiring ICU care in non-ST elevation acute coronary syndromes. Objective To validate ACTION-ICU score in AHF and to compare ACTION-ICU to GWTG-HF as predictors of in-hospital M (IHM), early M [1-month mortality (1mM)] and 1-month readmission (1mRA), using real-life data. Methods Based on a single-center retrospective study, data collected from P admitted in the Cardiology department with AHF between 2010 and 2017. P without data on previous cardiovascular history or uncompleted clinical data were excluded. Statistical analysis used chi-square, non-parametric tests, logistic regression analysis and ROC curve analysis. Results Among the 300 P admitted with AHF included, mean age was 67.4 ± 12.6 years old and 72.7% were male. Systolic blood pressure (SBP) was 131.2 ± 37.0mmHg, glomerular filtration rate (GFR) was 57.1 ± 23.5ml/min. 35.3% were admitted in Killip-Kimball class (KKC) 4. ACTION-ICU score was 10.4 ± 2.3 and GWTG-HF was 41.7 ± 9.6. Inotropes’ usage was necessary in 32.7% of the P, 11.3% of the P needed non-invasive ventilation (NIV), 8% needed invasive ventilation (IV). IHM rate was 5% and 1mM was 8%. 6.3% of the P were readmitted 1 month after discharge. Older age (p &lt; 0.001), lower SBP (p = 0,035) and need of inotropes (p &lt; 0.001) were predictors of IHM in our population. As expected, patients presenting in KKC 4 had higher IHM (OR 8.13, p &lt; 0.001). Older age (OR 1.06, p = 0.002, CI 1.02-1.10), lower SBP (OR 1.01, p = 0.05, CI 1.00-1.02) and lower left ventricle ejection fraction (LVEF) (OR 1.06, p &lt; 0.001, CI 1.03-1.09) were predictors of need of NIV. None of the variables were predictive of IV. LVEF (OR 0.924, p &lt; 0.001, CI 0.899-0.949), lower SBP (OR 0.80, p &lt; 0.001, CI 0.971-0.988), higher urea (OR 1.01, p &lt; 0.001, CI 1.005-1.018) and lower sodium (OR 0.92, p = 0.002, CI 0.873-0.971) were predictors of inotropes’ usage. Logistic regression showed that GWTG-HF predicted IHM (OR 1.12, p &lt; 0.001, CI 1.05-1.19), 1mM (OR 1.10, p = 1.10, CI 1.04-1.16) and inotropes’s usage (OR 1.06, p &lt; 0.001, CI 1.03-1.10), however it was not predictive of 1mRA, need of IV or NIV. Similarly, ACTION-ICU predicted IHM (OR 1.51, p = 0.02, CI 1.158-1.977), 1mM (OR 1.45, p = 0.002, CI 1.15-1.81) and inotropes’ usage (OR 1.22, p = 0.002, CI 1.08-1.39), but not 1mRA, the need of IV or NIV. ROC curve analysis revealed that GWTG-HF score performed better than ACTION-ICU regarding IHM (AUC 0.774, CI 0.46-0-90 vs AUC 0.731, CI 0.59-0.88) and 1mM (AUC 0.727, CI 0.60-0.85 vs AUC 0.707, CI 0.58-0.84). Conclusion In our population, both scores were able to predict IHM, 1mM and inotropes’s usage.

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 Soluble cytotoxic T-lymphocyte–associated antigen 4 (sCTLA-4) as a potential biomarker for diagnosis and evaluation of the prognosis in Glioma

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Jiajia Liu ◽  
Xiaoyi Tian ◽  
Yan Wang ◽  
Xixiong Kang ◽  
Wenqi Song
Keyword(s):  
T Lymphocyte ◽  
Roc Curve ◽  
Cytotoxic T Lymphocyte ◽  
Tumor Grade ◽  
Curve Analysis ◽  
Enzyme Linked Immunosorbent Assay ◽  
Low Grade ◽  
High Grade ◽  
Healthy Individuals ◽  
Roc Curve Analysis

Abstract Background The cytotoxic T-lymphocyte-associated antigen 4 (CTLA-4) is widely considered as a pivotal immune checkpoint molecule to suppress antitumor immunity. However, the significance of soluble CTLA-4 (sCTLA-4) remains unclear in the patients with brain glioma. Here we aimed to investigate the significance of serum sCTLA-4 levels as a noninvasive biomarker for diagnosis and evaluation of the prognosis in glioma patients. Methods In this study, the levels of sCTLA-4 in serum from 50 patients diagnosed with different grade gliomas including preoperative and postoperative, and 50 healthy individuals were measured by an enzyme-linked immunosorbent assay (ELISA). And then ROC curve analysis and survival analyses were performed to explore the clinical significance of sCTLA-4. Results Serum sCTLA-4 levels were significantly increased in patients with glioma compared to that of healthy individuals, and which was also positively correlated with the tumor grade. ROC curve analysis showed that the best cutoff value for sCTLA-4 for glioma is 112.1 pg/ml, as well as the sensitivity and specificity with 82.0 and 78.0%, respectively, and a cut-off value of 220.43 pg/ml was best distinguished in patients between low-grade glioma group and high-grade glioma group with sensitivity 73.1% and specificity 79.2%. Survival analysis revealed that the patients with high sCTLA-4 levels (> 189.64 pg/ml) had shorter progression-free survival (PFS) compared to those with low sCTLA-4 levels (≤189.64 pg/ml). In the univariate analysis, elder, high-grade tumor, high sCTLA-4 levels and high Ki-67 index were significantly associated with shorter PFS. In the multivariate analysis, sCTLA-4 levels and tumor grade remained an independent prognostic factor. Conclusion These findings indicated that serum sCTLA-4 levels play a critical role in the pathogenesis and development of glioma, which might become a valuable predictive biomarker for supplementary diagnosis and evaluation of the progress and prognosis in glioma.

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