The Association between ESR and CRP and Systemic Hypertension in Sarcoidosis

Introduction.The association between the level of systemic inflammation and systemic hypertension (sHTN) among subjects with sarcoidosis has not been previously explored.Methods.A retrospective study was conducted to investigate the relation between the level of systemic inflammation in sarcoidosis, measured by various serum inflammatory markers, and sHTN.Results.Among a total of 108 cases with sarcoidosis (mean age: 53.4 years, 76.9% females), 55 (50.9%) had sHTN and 53 (49.1%) were normotensive. ESR was highly associated with sHTN. The patients with sHTN had higher mean ESR levels compared with normotensives (48.8 ± 35 versus 23.2 ± 27 mm/hr, resp.;P=0.001). ROC curve analysis for ESR revealed an AUC value of 0.795 (95% CI: 0.692–0.897;P=0.0001). With regard to CRP, there was a trend towards higher mean values in sHTN group (3.4 versus 1.7 mg/L;P=0.067) and significantly higher prevalence of sHTN in the highest CRP quartile compared to the lowest one (69.6% versus 30%; OR 4.95;P=0.017). ROC curve analysis for CRP revealed an AUC value of 0.644 (95% CI: 0.518–0.769;P=0.03). On multivariate analysis, ESR and the CRP remained independent predictors for sHTN among subjects with sarcoidosis.Conclusion.Systemic inflammation is associated with the presence of sHTN in sarcoidosis.

Download Full-text

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

BMC Research Notes ◽

10.1186/s13104-021-05659-9 ◽

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).

Download Full-text

S228. TOWARD EARLY DETECTION OF TREATMENT RESISTANT SCHIZOPHRENIA: PREDICTIVE INFORMATION ON NON-RESPONSE TO ANTIPSYCHOTICS BY EVALUATION OF A FEW CLINICAL FACTORS: A STUDY BY ROC CURVE ANALYSIS AND CONFIRMATORY MULTIVARIATE ANALYSIS

Schizophrenia Bulletin ◽

10.1093/schbul/sby018.1015 ◽

2018 ◽

Vol 44 (suppl_1) ◽

pp. S414-S415

Author(s):

Felice Iasevoli ◽

Camilla Avagliano ◽

Benedetta Altavilla ◽

Annarita Barone ◽

Mariateresa Ciccarelli ◽

...

Keyword(s):

Multivariate Analysis ◽

Early Detection ◽

Roc Curve ◽

Curve Analysis ◽

Clinical Factors ◽

Treatment Resistant ◽

Roc Curve Analysis ◽

Predictive Information

Download Full-text

Impact of tumour volume on prediction of progression-free survival in sinonasal cancer

Radiology and Oncology ◽

10.1515/raon-2015-0028 ◽

2015 ◽

Vol 49 (3) ◽

pp. 286-290 ◽

Cited By ~ 5

Author(s):

Florian Hennersdorf ◽

Paul-Stefan Mauz ◽

Patrick Adam ◽

Stefan Welz ◽

Anne Sievert ◽

...

Keyword(s):

Multivariate Analysis ◽

Lymph Node ◽

Roc Curve ◽

Progression Free Survival ◽

Tumour Volume ◽

Curve Analysis ◽

Lymph Node Status ◽

Roc Curve Analysis ◽

Free Survival ◽

Ajcc Staging

Abstract Background. The present study aimed to analyse potential prognostic factors, with emphasis on tumour volume, in determining progression free survival (PFS) for malignancies of the nasal cavity and the paranasal sinuses. Patients and methods. Retrospective analysis of 106 patients with primary sinonasal malignancies treated and followed-up between March 2006 and October 2012. Possible predictive parameters for PFS were entered into univariate and multivariate Cox regression analysis. Kaplan-Meier curve analysis included age, sex, baseline tumour volume (based on MR imaging), histology type, TNM stage and prognostic groups according to the American Joint Committee on Cancer (AJCC) classification. Receiver operating characteristic (ROC) curve analysis concerning the predictive value of tumour volume for recurrence was also conducted. Results. The main histological subgroup consisted of epithelial tumours (77%). The majority of the patients (68%) showed advanced tumour burden (AJCC stage III-IV). Lymph node involvement was present in 18 cases. The mean tumour volume was 26.6 ± 21.2 cm3. The median PFS for all patients was 24.9 months (range: 2.5–84.5 months). The ROC curve analysis for the tumour volume showed 58.1% sensitivity and 75.4% specificity for predicting recurrence. Tumour volume, AJCC staging, T- and N-stage were significant predictors in the univariate analysis. Positive lymph node status and tumour volume remained significant and independent predictors in the multivariate analysis. Conclusions. Radiological tumour volume proofed to be a statistically reliable predictor of PFS. In the multivariate analysis, T-, N- and overall AJCC staging did not show significant prognostic value.

Download Full-text

Risk Prediction and Treatment of Hemorrhagic Chronic Radiation Intestinal Injury Patients With LE-DVT

10.21203/rs.3.rs-37857/v1 ◽

2020 ◽

Author(s):

Xiaoyan Huang ◽

Yingyi Kuang ◽

Zixu Yuan ◽

Miaomiao Zhu ◽

Yanjiong He ◽

...

Keyword(s):

Risk Factors ◽

Multivariate Analysis ◽

Roc Curve ◽

Anticoagulation Therapy ◽

Curve Analysis ◽

Intestinal Injury ◽

Roc Curve Analysis ◽

Pelvic Malignancy ◽

Chronic Radiation ◽

Surgical History

Abstract Background: After pelvic malignancy radiation, chronic radiation intestinal injury (CRII) is an unavoidable complication, and bleeding is one of the most common symptoms of CRII. Lower extremity deep venous thrombosis (LE-DVT) is another severe complication.Once hemorrhagic CRII patients suffer from LE-DVT, hemostasis and anticoagulation therapy will be adopted simultaneously, which is a therapeutic paradox, extremely intractable and serious. This study was aimed to investigate prevalence and risk factors for LE-DVT in CRII patients, and explore treatment for hemorrhagic CRII patients with LE-DVTMethods: This is a retrospective study,a total of 608 CRII hospitalized patients from November 2011 to October 2018 after pelvic malignancy radiation in our hospital were included.Univariate and multivariate analysis were conducted to investigate the associated risk factors for LE-DVT in CRII patients. Receiver operating characteristic (ROC) curve analysis was performed to investigate the independent risk factors and determine their clinically valid cut-off points. Furthermore, treatment of hemorrhagic CRII patients with LE-DVT was explored.Results: Of the 608 included CRE patients, there were 94 (15.5%) CRII patients with suspicious symptoms of LE-DVT in the lower limbs, and 32 (5.3%) patients were diagnosed with LE-DVT. Among the CRII patients with LE-DVT, 65.6% (21/32) patients were with bleeding simultaneously, 29 (90.6%) patients were anemic, with 17 (53.1%) patients having moderate anemia and 7 (21.9%) having severe anemia. Multivariate analysis showed recent surgical history (≤6 Months) (OR=0.480, 95% CI: 1.430~9.377, p=0.007) and hemoglobin (Hb) (OR=0.965, 95% CI: 0.945~0.986, p=0.001) significantly associated with development of LE-DVT. ROC curve analysis showed optimal cut-off values of Hb were 82.5 g/L (AUC=0.756, 95% CI: 0.688~0.824, sensitivity=71.9%, specificity=75.5%). After colostomy, obvious bleeding remission was found in 84.6% of hemorrhagic CRII patients with LE-DVT rapidly. And LE-DVT of the patients was obvious improved or disappeared following anticoagulation therapy or with vena cava filter or stent placement.Conclusions: Prevalence of LE-DVT in hospitalized CRII patients was 5.3%. Recent surgical history and lower Hb were independently associated with LE-DVT developing in CRII patients. And colostomy could be a good choice for intractable hemorrhagic CRII patients with LE-DVT.

Download Full-text

Presepsin values and Prognostic Nutritional Index predict mortality in intensive care unit patients with sepsis: a pilot study

10.21203/rs.3.rs-154673/v1 ◽

2021 ◽

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

Download Full-text

The Comparison of Platelet Parameters in Patients with Thrombocytopenia Associated with Acute Myeloid Leukemia and Immune Thrombocytopenia

Blood ◽

10.1182/blood.v120.21.3317.3317 ◽

2012 ◽

Vol 120 (21) ◽

pp. 3317-3317

Author(s):

Moon-Jin Kim ◽

Jeong-Yeal Ahn ◽

Pil-Whan Park ◽

Yiel-Hea Seo ◽

Kyung-Hee Kim ◽

...

Keyword(s):

Roc Curve ◽

Myeloid Leukemia ◽

Immune Thrombocytopenia ◽

Reference Range ◽

Curve Analysis ◽

Roc Curve Analysis ◽

Mean Values ◽

Platelet Production ◽

The Mean ◽

Acute Myeloid

Abstract Abstract 3317 Parameters associated with platelets (PLT) other than total PLT count, mean platelet volume (MPV), and platelet distribution width (PDW) are not widely used in clinical fields, although recent researches about them are increasingly reported. Additional platelet parameters can be helpful to evaluate the underlying cause of thrombocytopenia induced by two mechanisms-insufficient production and destruction of platelets. We investigated the significance of platelet parameters by evaluation of patients with ineffective platelet production (acute myeloid leukemia, AML) and destruction of platelets (immune thrombocytopenia, ITP). 49 adults newly diagnosed with AML (median age: 60, range: 21–86 years old) who had thrombocytopenia (<150 ×103/uL) and 47 adults with ITP (median age: 44, range: 22–82 years old) who were diagnosed with the bone marrow (BM) study were retrospectively reviewed. PLT and PLT parameters - MPV, PDW, PLT crit (PCT), mean PLT component (MPC), mean PLT mass (MPM), and large PLT count (LPLT) were measured by the ADVIA 2120 Hematology System (Siemens, USA) at the time of diagnosis. The percentage of LPLT (LPLT%) was calculated (LPLT/PLT ×100). The mean values of each group were compared using independent T-test on SPSS. The sensitivity and the specificity of each item to differentiate AML and ITP were determined by receiver operating characteristic (ROC) curve analysis. The mean values of platelet parameters of 480 male and female Korean adults in different age groups (120 in each group) who had hemoglobin level of 12–16.5 g/dl in female and 13–18.5 g/dl in male, white blood cell count of 4–10 ×103/ul, and PLT of 150–450 ×103/ul are shown in table I. The mean values of MPV, PDW, MPC, MPM, and LPLT% of ITP patients were significantly higher than those of AML (p<0.05). PLT, PCT, and LPLT did not show the difference between AML and ITP patients (Table II). Also, MPV, PDW, MPC, MPM, and LPLT% appeared significant to differentiate two diseases (p<0.05) upon ROC curve analysis (Table III). Table I. Platelet parameters in 480 Korean adults Platelet parameters Mean ¡¾ SD Total Male under 50Y Male over 50Y Female under 50Y Female over 50Y Reference range PLT (×103/¥ìl) 261 ¡¾ 53 257 ¡¾ 52 241 ¡¾ 47 259 ¡¾ 51 280 ¡¾ 59 150–450 MPV (fl) 7.9 ¡¾ 1.0 7.7 ¡¾ 0.7 7.9 ¡¾ 0.7 7.9 ¡¾ 0.7 8.0 ¡¾ 1.8 9–13 PDW (%) 51.3 ¡¾ 7.5 51.6 ¡¾ 7.5 52.1 ¡¾ 7.1 52.2 ¡¾ 5.8 49.0 ¡¾ 9.0 N PCT (%) 0.20 ¡¾ 0.04 0.20 ¡¾ 0.04 0.19 ¡¾ 0.04 0.20 ¡¾ 0.06 0.20 ¡¾ 0.04 N MPC (g/dl) 26.0 ¡¾ 1.3 26.2 ¡¾ 1.4 25.8 ¡¾ 1.3 26.4 ¡¾ 1.0 25.5 ¡¾ 1.5 N MPM (pg) 1.9 ¡¾ 0.2 1.9 ¡¾ 0.2 1.9 ¡¾ 0.2 2.0 ¡¾ 0.2 1.9 ¡¾ 0.2 N LPLT (×103/¥ìl) 4.7 ¡¾ 2.7 4.5 ¡¾ 2.7 4.6 ¡¾ 3.1 4.9 ¡¾ 2.3 4.7 ¡¾ 2.8 N LPLT% (%) 1.7 ¡¾ 0.6 1.8 ¡¾ 1.3 2.0 ¡¾ 1.4 2.0 ¡¾ 1.1 1.8 ¡¾ 1.2 N Abbreviations: SD, Standard deviation; Y, years old; N, Not determined; see text. Table II. Platelet parameters in AML and ITP patients Platelet parameters Disease Mean ¡¾ SD Reference range PLT (×103/¥ìl) AML 59 ¡¾ 35 150-450 ITP 54 ¡¾ 29 MPV* (fl) AML 9.8 ¡¾ 2.1 9–13 ITP 10.9 ¡¾ 2.8 PDW* (%) AML 53.9 ¡¾ 17.0 N ITP 60.6 ¡¾ 12.1 PCT (%) AML 0.06 ¡¾ 0.04 N ITP 0.06 ¡¾ 0.03 MPC* (g/dl) AML 22.3 ¡¾ 2.1 N ITP 25.4 ¡¾ 2.2 MPM* (pg) AML 2.0 ¡¾ 0.3 N ITP 2.4 ¡¾ 0.4 LPLT (×103/¥ìl) AML 3 ¡¾ 5 N ITP 4 ¡¾ 6 LPLT%* (%) AML 4.7 ¡¾ 5.2 N ITP 8.3 ¡¾ 9.4 Abbreviations: See table I; see text. * p<0.05. Table III. AUC for differentiation of AML and ITP with cut-off values ¡¡ AUC (95% CI) Cut-off value Sensitivity (%) Specificity (%) PLT 0.48 (0.36–0.59) 68 ×103/¥ìL 34.0 74.6 MPV* 0.66 (0.55–0.77) 10.2 fL 57.4 78.0 PDW* 0.63 (0.53–0.74) 56.3 % 66.0 69.5 PCT 0.51 (0.40–0.62) 0.07 % 40.4 72.9 MPC* 0.84 (0.78–0.92) 2.1 g/dL 87.2 76.3 MPM* 0.85 (0.75–0.91) 22.5 pg 78.7 76.3 LPLT 0.61 (0.50–0.71) 5.5 ×103/¥ìL 21.3 89.8 LPLT%* 0.67 (0.57–0.77) 4.1 % 72.3 61.0 Abbreviations: AUC, areas under the curves; CI, confidence interval; see text. * : p<0.05. In AML, deficient platelet production in the BM causes thrombocytopenia. Immune mediated destruction in the peripheral blood induces thrombocytopenia in ITP in spite of activated PLT production in BM. MPV, PDW and platelet large cell ratio (P-LCR measured by Sysmex-XE2100) had been reported to reflect production rate (MPV and PDW) and percentage of immature platelets (P-LCR) so that being higher in ITP than aplastic anemia (Kaito et al, 2004). MPV, PDW, MPC, MPM, and LPLT% were higher in ITP than AML in our study. They are also proven to differentiate AML and ITP upon ROC curve analysis. MPV, PDW, and LPLT% can be used as markers to predict the status of thrombopoiesis differentiating two mechanisms of thrombocytopenia, deficiency of production and destruction of platelets. Disclosures: No relevant conflicts of interest to declare.

Download Full-text

Presepsin values and Prognostic Nutritional Index predict mortality in intensive care unit patients with sepsis: a prospective observational study

10.21203/rs.3.rs-80606/v1 ◽

2020 ◽

Author(s):

Yuichiro Shimoyama ◽

Osamu Umegaki ◽

Noriko Kadono ◽

Toshiaki Minami

Keyword(s):

Multivariate Analysis ◽

Roc Curve ◽

Prognostic Nutritional Index ◽

Early Mortality ◽

Curve Analysis ◽

Prognostic Scores ◽

Roc Curve Analysis ◽

Lymphocyte Ratio ◽

Icu Admission ◽

Nutritional Index

Abstract Background 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. Methods A total of 83 adult patients diagnosed with sepsis were prospectively examined. Presepsin values were measured immediately after ICU admission and on Days 2, 3, and 5 after ICU admission. Glasgow Prognostic Score, neutrophil to lymphocyte ratio, platelet to lymphocyte ratio, Prognostic Index, and Prognostic Nutritional Index were also determined at baseline. For category classification, total scores were calculated (hereafter, “inflammation-presepsin scores [iPS]”) as follows: a score of 1 was assigned if the presepsin value and inflammation-based prognostic scores at baseline were above cut-offs determined by receiver operating characteristic (ROC) curve analysis for 28-day mortality; a score of 0 was assigned if they were below the cut-offs (total score range, 0–2 points). Presepsin values, inflammation-based prognostic scores, and iPS were compared between non-survivors and survivors. Results 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%; multivariate analysis showed an OR of 1.0007, with a 95%CI of 1.0001–1.0013 (p = 0.0320). Conclusions Presepsin value was a predictor of mortality in sepsis patients. In particular, the presepsin value on Day 1 is useful for predicting early mortality. In the context of 28-day mortality, Prognostic Nutritional Index was found to predict mortality in sepsis patients.

Download Full-text

Acute heart failure: predicting early in-hospital outcomes

European Journal of Preventive Cardiology ◽

10.1093/eurjpc/zwab061.019 ◽

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 < 0.001), lower SBP (p = 0,035) and need of inotropes (p < 0.001) were predictors of IHM in our population. As expected, patients presenting in KKC 4 had higher IHM (OR 8.13, p < 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 < 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 < 0.001, CI 0.899-0.949), lower SBP (OR 0.80, p < 0.001, CI 0.971-0.988), higher urea (OR 1.01, p < 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 < 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 < 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.

Download Full-text

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

BMC Immunology ◽

10.1186/s12865-021-00422-y ◽

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.

Download Full-text

Predictive CT features for the diagnosis of primary pulmonary mucoepidermoid carcinoma: comparison with squamous cell carcinomas and adenocarcinomas

Cancer Imaging ◽

10.1186/s40644-020-00375-2 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Xiaohua Ban ◽

Xinping Shen ◽

Huijun Hu ◽

Rong Zhang ◽

Chuanmiao Xie ◽

...

Keyword(s):

Logistic Regression ◽

Roc Curve ◽

Multinomial Logistic Regression ◽

Univariate Analysis ◽

Ct Imaging ◽

Squamous Cell Carcinomas ◽

Curve Analysis ◽

Imaging Features ◽

Roc Curve Analysis ◽

Ct Features

Abstract Background To determine the predictive CT imaging features for diagnosis in patients with primary pulmonary mucoepidermoid carcinomas (PMECs). Materials and methods CT imaging features of 37 patients with primary PMECs, 76 with squamous cell carcinomas (SCCs) and 78 with adenocarcinomas were retrospectively reviewed. The difference of CT features among the PMECs, SCCs and adenocarcinomas was analyzed using univariate analysis, followed by multinomial logistic regression and receiver operating characteristic (ROC) curve analysis. Results CT imaging features including tumor size, location, margin, shape, necrosis and degree of enhancement were significant different among the PMECs, SCCs and adenocarcinomas, as determined by univariate analysis (P < 0.05). Only lesion location, shape, margin and degree of enhancement remained independent factors in multinomial logistic regression analysis. ROC curve analysis showed that the area under curve of the obtained multinomial logistic regression model was 0.805 (95%CI: 0.704–0.906). Conclusion The prediction model derived from location, margin, shape and degree of enhancement can be used for preoperative diagnosis of PMECs.

Download Full-text