scholarly journals Ewing Sarcoma of the Head and Neck

2017 ◽  
Vol 126 (3) ◽  
pp. 179-184 ◽  
Author(s):  
Mark A. Ellis ◽  
Daniel R. Gerry ◽  
David M. Neskey ◽  
Eric J. Lentsch
Keyword(s):  
Regression Analysis ◽  
Head And Neck ◽  
Ewing Sarcoma ◽  
Cox Regression ◽  
Statistical Significance ◽  
Patient Characteristics ◽  
Rank Test ◽  
Chi Square ◽  
Cox Regression Analysis ◽  
Metastatic Rate

Objectives: Ewing sarcoma is a rare tumor of the head and neck. Previous efforts to characterize Ewing sarcoma of the head and neck (ES-HN) have been limited to small retrospective series. The objective of this study was to analyze the demographic, clinicopathologic, treatment, and survival characteristics of ES-HN compared to Ewing sarcoma at other locations (ES-other). Methods: Using the Surveillance, Epidemiology, and End Results (SEER) database, we compared 183 patients with ES-HN to 3177 patients with ES-other. Patient characteristics were analyzed with chi-square or t test. Ten-year disease-specific survival (DSS) and overall survival (OS) were estimated via the Kaplan-Meier method and compared using the log-rank test. Multivariate Cox regression analysis was used to determine if HN location was an independent prognosticator. Results: The ES-HN displayed a lower tumor size ( P < .001) and metastatic rate ( P < .001) compared to ES-other. The ES-HN had a better 10-year DSS and OS than ES-other ( P = .001, P = .015, respectively). The HN location did not achieve statistical significance on multivariate Cox regression analysis ( P = .88). Conclusion: ES-HN does not appear to be a separate clinical entity compared to ES-other; rather, its associated improved prognosis is likely secondary to its smaller size and lower metastatic rate compared to ES-other.

Abstract 19123: Elevated Growth and Differentiation Factor 15 (GDF15) Levels Predict Outcome in Patients With Severe Aortic Stenosis Undergoing Tavi

Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Nora Krau ◽  
Sandra Freitag-Wolf ◽  
Doreen Brehm ◽  
Rainer Petzina ◽  
Georg Lutter ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Aortic Valve ◽  
Risk Stratification ◽  
Transforming Growth Factor ◽  
Cox Regression ◽  
Severe Aortic Stenosis ◽  
Statistical Significance ◽  
Cox Regression Analysis ◽  
Negative Outcome

Background: GDF15 belongs to the transforming growth factor superfamily and has a significant role in regulating inflammatory and apoptotic pathways. GDF15 is an emerging biomarker for risk stratification in cardiovascular disease. Here we analyze its prognostic value in patients with severe symptomatic aortic valve stenosis undergoing transcatheter aortic valve implantation (TAVI). Methods and Results: We prospectively enrolled 217 patients undergoing TAVI (using Edwards Sapien XT prostheses) at our institution over a continuous period of 35 month (2/2011-12/2013). All patients were available for complete follow up. Clinical parameters were determined before the procedure, biomarkers (GDF15 & NTproBNP) were measured before, 3 and 7 days after TAVI. The primary endpoint was survival time, all available prognostic factors were studied by Cox regression analysis with backward selection based on the likelihood ratio criteria. At median follow-up of 349 d (Q1-Q3 106-660d), a total of n=66 deaths occurred. 30d mortality was 6.9%. Mean age was 81.8 years (± 6.0 y) and 55.8% were females. Mean log. Euroscore (ES) was 25.4% (± 17.2%). Median preprocedural GDF15 values were 2256 pg/ml (Q1-Q3 1585.5-3082.0). In univariate analyses, increased GDF15 levels (upper quartile compared to lower three quartiles) revealed a HR of 2.4 (CI 1.5-3.9, p<0.001) for adverse outcome. In addition, also log. ES (p= 0.001), log. ES II (p=0.018), STS-Score (p=0.019), NTproBNP (p=0.037) and atrial fibrillation (p=0.02) demonstrated statistical significance for negative outcome. A multivariate Cox regression analysis including these factors and postprocedural aortic regurgitation, demonstrated that elevated GDF15 had a HR of 2.104 (CI 1.3-3.5; p=0.003) for negative outcome in patients undergoing TAVI, while elevated NTproBNP had HR of 1.412 (CI 0.8-2.4; p=0.212). Moreover, this analysis also revealed the log. ES as an independent risk factor (HR of 2.211, CI 1.3-3.7; p= 0.002). Conclusion: Increased GDF15 levels are associated with a poor prognosis in patients undergoing TAVI. Furthermore, GDF15 showed to be superior to the established biomarker NTproBNP in risk stratification of patients undergoing TAVI providing additional prognostic information.

Prognostic value of D-dimer/fibrinogen ratio in the adverse outcomes of patients hospitalized for heart failure

2020 ◽  
Vol 14 (18) ◽  
pp. 1733-1745
Author(s):  
Tian-Jun Zhao ◽  
Qian-Kun Yang ◽  
Chun-Yu Tan ◽  
Li-Dan Bi ◽  
Jie Li ◽  
...  
Keyword(s):  
Heart Failure ◽  
Regression Analysis ◽  
Cox Regression ◽  
Prognostic Indicator ◽  
Adverse Outcomes ◽  
Rank Test ◽  
Clinical Value ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
D Dimer

Aim: To evaluate the clinical value of plasma D-dimer/fibrinogen ratio (DFR) in patients hospitalized for heart failure (HF). Methods: Clinical data of 235 patients were retrospectively analyzed. Kaplan–Meier method and Cox regression analysis were used to identify significant prognosticators. Results: The Kaplan–Meier analysis showed that a higher DFR level was significantly associated with an increase in the end point outcomes, including HF readmission, thrombotic events and death (log-rank test: p < 0.001). The multivariate Cox regression analysis showed that the high tertile of DFR was significantly associated with the study end points (HR: 2.18; 95% CI: 1.31–3.62; p = 0.003), compared with the low tertile. Conclusion: DFR is a reliable prognostic indicator for patients hospitalized for HF.

scholarly journals Analysis of Scoring Sequences in Matches of the Portuguese Premier League

2018 ◽  
Vol 64 (1) ◽  
pp. 255-263
Author(s):  
José M. Pratas ◽  
Anna Volossovitch ◽  
Ana I. Carita
Keyword(s):  
Regression Analysis ◽  
Cox Regression ◽  
Cox Model ◽  
Positive Association ◽  
Descriptive Statistics ◽  
Chi Square ◽  
Cox Regression Analysis ◽  
Premier League ◽  
Chi Square Test

AbstractThe aim of this study was to examine the sequences of the first two goals scored in soccer matches in accordance with a range of different match contexts. Data from 1506 matches played in the Portuguese Premier League during six consecutive competitive seasons (2009-10 to 2014-2015) were analysed using descriptive statistics and the chi-square test in order to verify the association between variables and a Cox regression analysis was used to predict the time the second goal was scored in function of the time of the first goal scored in the match and the scoreline. The results revealed a higher frequency of the second goals being scored in the second half of a match (58%) and in the last 5 min periods of each half. A positive association was found for home teams and score-doubling goals (58%), as well as for away teams and score-equalizing goals (56%). For home and away teams the score-doubling goal of a match was strongly and positively associated with a win outcome for home (93%) and away teams (92%), while the score-equalizing goals were associated with a draw (home and away teams: 44%) and loss outcome (home: 33% and away teams: 32%). Finally, the Cox model showed that if the first goal was scored in the second half of the match, the probability of the second goal being scored was three times higher compared to the first half.

National trends in local excision and esophagectomy for cT1N0 esophageal cancer.

2017 ◽  
Vol 35 (4_suppl) ◽  
pp. 62-62 ◽  
Author(s):  
Emily C. Sturm ◽  
Whitney Zahnd ◽  
John D. Mellinger ◽  
Sabha Ganai
Keyword(s):  
Esophageal Cancer ◽  
Regression Analysis ◽  
Local Excision ◽  
Clinical Characteristics ◽  
Cox Regression ◽  
Chi Square ◽  
Cox Regression Analysis ◽  
Significant Difference ◽  
Chi Square Analysis ◽  
Over Time

62 Background: Esophageal cancer management has evolved due to improvements in staging and treatment strategies. Endoscopic local excision presents an attractive option for definitive management of T1 cancers, avoiding the morbidity of esophagectomy. We hypothesized that for cT1N0 cancers, patients who underwent local excision would have lower survival compared to esophagectomy due to potential discordant staging. Methods: The National Cancer Database was queried for esophageal squamous cell carcinoma (SCC) and adenocarcinoma (AC) with AJCC T1N0 clinical stage who underwent local excision (n = 1625) or esophagectomy (n = 3255) between 1998 and 2012. Chi-square analysis was used to compare demographic and clinical characteristics by procedure. Chi-square trend analysis was performed to assess trends in procedure type over time. Cox Regression analysis was performed to assess survival by procedure controlling for demographic and clinical characteristics. Results: Between 1998 and 2012, the proportion of patients who underwent local excision increased from 12% to 50% for all patients (p < 0.001); from 17% to 40% for SCC patients (p < 0.001); and from 9% to 51% for AC patients (p < 0.001). Surgical procedure varied significantly by demographic, socioeconomic status, facility, and tumor-related factors. 65% of cT1N0 cancers had concordant clinical and pathological staging after esophagectomy, with 11% having positive nodal disease; 44% were concordant after local excision. While no significant difference was seen in unadjusted survival, adjusted Cox Regression analysis indicated worse survival after esophagectomy compared to local excision for all cases (HR 1.67; 95% CI, 1.40-2.00) and for ACs with concordant staging (HR 1.54; 95% CI, 1.11-2.14). Conclusions: Local excision for cT1N0 esophageal cancer has increased over time. Staging concordance for esophagectomy is seen in two-thirds of cases. Contrary to our hypothesis, patients undergoing local excision for T1N0 cancers have better overall survival than those undergoing esophagectomy, which may reflect early differences in mortality and/or selection bias. As this study was unable to distinguish T1a from T1b, further analysis is warranted.

scholarly journals Age as a Prognostic Factor in Anaplastic Thyroid Cancer

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Vladan Zivaljevic ◽  
Katarina Tausanovic ◽  
Ivan Paunovic ◽  
Aleksandar Diklic ◽  
Nevena Kalezic ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Thyroid Cancer ◽  
Prognostic Factor ◽  
Cox Regression ◽  
Postoperative Radiotherapy ◽  
Distant Metastases ◽  
Anaplastic Thyroid Cancer ◽  
Multivariate Regression Analysis ◽  
Rank Test ◽  
Cox Regression Analysis

Background.Anaplastic thyroid cancer (ATC) is one of the tumors with the shortest survival in human medicine.Aim.The aim was to determine the importance of age in survival of patients with ATC.Material and Methods. We analyzed the data on 150 patients diagnosed with ATC in the period from 1995 to 2006. The Kaplan-Meier method and log-rank test were used to determine overall survival. Prognostic factors were identified by univariate and multivariate Cox regression analysis.Results.The youngest patient was 35 years old and the oldest was 89 years old. According to univariate regression analysis, age was significantly associated with longer survival in patients with ATC. In multivariate regression analysis, patients age, presence of longstanding goiter, whether surgical treatment is carried out or not, type of surgery, tumor multicentricity, presence of distant metastases, histologically proven preexistent papillary carcinoma, radioiodine therapy, and postoperative radiotherapy were included. According to multivariate analysis, besides surgery (P=0.000, OR = 0.43, 95% CI = 0.29–0.63), only patients age (P=0.023, OR = 0.68, 95% CI = 0.49–0.95) was independent prognostic factor of favorable survival in patients with ATC.Conclusion. Age is a factor that was independently associated with survival time in ATC. Anaplastic thyroid cancer has the best prognosis in patients younger than 50 years.

scholarly journals A  novel  comprehensive immune-related gene signature as a promising survival predictor for head and neck squamous cell carcinoma

2020 ◽  
Author(s):  
Ruihua Fang ◽  
Lin Chen ◽  
Jing Liao ◽  
Jierong Luo ◽  
Chenchen Zhang ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Head And Neck ◽  
Cox Regression ◽  
Gene Signature ◽  
Related Gene ◽  
Prognostic Signature ◽  
Immune Microenvironment ◽  
Cox Regression Analysis ◽  
Immune Genes ◽  
Immune Related Gene

Abstract Background: Head and neck squamous cell carcinoma (HNSCC), the most frequent subtype of head and neck cancer, continues to have a poor prognosis with no improvement. Growing evidence has demonstrated that the immune system plays a crucial role in the development and progression of HNSCC. The goal of our study was to develop an immune-related signature for accurately predicting the survival of HNSCC patients. Methods: Gene expression profiles were established from a total of 546 HNSCC and normal tissues to establish a training set and 83 HNSCC tissues for a validation set. Differentially expressed prognostic immune genes were identified by univariate Cox regression analysis and a corresponding network of differentially expressed transcription factors (TFs) were identified using Cytoscape. The immune-related gene signature was established and validated by univariate Cox regression analysis, least absolute shrinkage and selector operation (LASSO), and multivariate Cox regression analyses. In addition, the prognostic value of the immune-related signature was analyzed by survival and Cox regression analysis. Finally, the correlation between the immune-related signature and the immune microenvironment was established.Results: In this study, the TF-mediated network revealed that Foxp3 plays a central role in the regulatory mechanism of most immune genes. A prognostic signature based on 10 immune-related genes, which divided patients into high and low risk groups, was developed and successfully validated using two independent databases. Our prognostic signature was significantly related to worse survival and predicted prognosis in patients with different clinicopathological factors. A nomogram including clinical characteristics was also constructed for accurate prediction. Furthermore, it was determined that our prognostic signature may act as an independent factor for predicting the survival of HNSCC patients. ROC analysis also revealed that our signature had superior predictive value compared with TNM stage. As for the immune microenvironment, our signature showed a positive correlation with activated mast cells and M0 macrophages, a negative correlation with Tregs, and immune checkpoint molecules PD-1 and CLTA-4. Conclusions: Our study established an immune-related gene signature, which not only provides a promising biomarker for survival prediction, but may be evaluated as an indicator for personalized immunotherapy in patients with HNSCC.

scholarly journals Logistic Regression Analysis of the Factors Involved in the Failure of Osseointegration and Survival of Dental Implants with an Internal Connection and Machined Collar: A 6-Year Retrospective Cohort Study

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Aritza Brizuela-Velasco ◽  
Ángel Álvarez-Arenal ◽  
Esteban Pérez-Pevida ◽  
Iker Bellanco-De La Pinta ◽  
Héctor De Llanos-Lanchares ◽  
...  
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Dental Implants ◽  
Cox Regression ◽  
Rank Test ◽  
Cox Regression Analysis ◽  
Internal Connection ◽  
Study Results ◽  
Logit Function ◽  
Cox Analysis

Background. Although the long-term success rate of dental implants is currently close to 95%, it is necessary to provide more evidence on the factors related to the failure of osseointegration and survival. Purpose. To establish the risk factors associated with the failure of osseointegration and survival of dental implants with an internal connection and machined collar and to establish a predictive statistical model. Materials and Methods. An analytical, retrospective, and observational clinical study of a sample of 297 implants with a follow-up of up to 76 months. Independent variables related to the implant, patient, and surgical and rehabilitative procedures were identified. The dependent variables were failure of osseointegration and failure of implant survival after prosthetic loading. A survival analysis was carried out by applying the Kaplan-Meier model (significance for p < 0.05 ). The log-rank test and the Cox regression analysis were applied to the factors that presented differences. Finally, the regression logit function was used to determine whether it is possible to predict the risk of implant failure according to the analyzed variables with the data obtained in this study. Results. The percentages of osseointegration and survival were 97.6 and 97.2%, respectively. For osseointegration, there were significant differences according to gender ( p = 0.048 ), and the risk of nonosseointegration was 85% lower in women. Regarding survival, the Cox analysis converged on only two factors, which were smoking and treatment with anticoagulant drugs. The risk of loss was multiplied by 18.3 for patients smoking more than 10 cigarettes per day and by 28.2 for patients treated with anticoagulants. Conclusions. The indicated risk factors should be considered, but the analysis of the results is not sufficient to create a predictive model.

scholarly journals Prediction and identification of immune genes related to the prognosis of patients with colon adenocarcinoma and its mechanisms

2020 ◽  
Author(s):  
Sihan Chen ◽  
Cao GD ◽  
Wu Wei ◽  
LU Yida ◽  
He Xiaobo ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Clinical Data ◽  
Cox Regression ◽  
Statistical Significance ◽  
Colon Adenocarcinoma ◽  
Survival Prognosis ◽  
Cell Content ◽  
Clinical Prognosis ◽  
Cox Regression Analysis ◽  
Immune Genes

Abstract Background: Colon adenocarcinoma(COAD) is a type of gastrointestinal tumor with a high degree of malignancy, and its immunotherapy method has been stagnant. Recently, with the development of network databases and the development of bioinformatics tools, we can analyze the data in the current database to find out which genes may be the target of immunotherapy for COAD.Methods: We use various codes and packages of R language to analyze the downloaded data, construct a riskScore model of immune genes and clinical data, and use Cox regression analysis to explore the clinical relationship between riskScore and COAD.Results: We found that seven immune genes associated with the survival prognosis of COAD were related to the construction of a riskScore model. And Cox regression analysis found that there was clinical significance and statistical significance between the riskScore model and clinical data of COAD. Some traditional immune microenvironment cells also increase their cell content with the increase of riskScore.Conclusions: We found 7 immune genes (SLC10A2, CXCL3, IGHV5-51, INHBA, STC1, UCN and OXTR) that affect the clinical prognosis of COAD patients and can construct a riskScore model. It may be a target for future COAD immunotherapy.

P6331Influence of dynapenia and obesity on prognoses of elderly heart failure patients

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
S Uchida ◽  
K Kamiya ◽  
N Hamazaki ◽  
R Matsuzawa ◽  
K Nozaki ◽  
...  
Keyword(s):  
Heart Failure ◽  
Regression Analysis ◽  
Muscle Strength ◽  
Cox Regression ◽  
Handgrip Strength ◽  
Survival Rates ◽  
The Other ◽  
Rank Test ◽  
Protective Effects ◽  
Cox Regression Analysis

Abstract Background In elderly people, a decline in activities of daily living is more closely associated with low muscle strength (dynapenia) than with low muscle mass. Moreover, the combination of low muscle strength and obesity (dynapenic obesity) is associated with a higher risk of mortality than dynapenia or obesity alone, but its influence on prognosis is still unknown in elderly heart failure (HF) patients. To clarify these relationships may contribute to the development of rehabilitation programs for elderly HF patients and the improvement their prognoses in the future. Purpose We aimed to investigate the influence of dynapenia and obesity on prognoses of elderly HF patients. Methods We evaluated 1006 elderly HF patients aged ≥65 years (76.5±6.9 years, 579 males) who were admitted to our hospital and participated in an inpatient cardiac rehabilitation program. We assessed patients' characteristics, including body mass index (BMI) and handgrip strength during hospitalization. Patients with low handgrip strength (<26 kg and <18 kg in males and females, respectively) and high BMI (≥25 kg/m2) were considered to have dynapenia and obesity, respectively. Moreover, patients fulfilling the above two criteria (dynapenia, obesity) were considered to have dynapenic obesity. Patients were divided into four groups: normal, dynapenia only, obesity only, and dynapenic obesity. We compared survival rates among the four groups using the Kaplan-Meier method and log-rank test. To identify predictors for all-cause mortality, we performed Cox regression analysis. Results During the 8-year follow-up period, 228 patients (21.2%) died. Eight-year cumulative incidences of mortality were 35.4%, 26.0%, 62.6%, and 33.1% in the normal, obesity only, dynapenia only, and dynapenic obesity groups, respectively. Significantly lower survival rates were observed in the dynapenia only group than in the other 3 groups (log-rank: 28.893, P<0.001). Cox regression analysis, after adjusting for age and sex, showed significantly poor prognosis in the dyanapenia only group than in the other 3 groups (normal group, hazard ratio [HR] = 0.684, 95% confidence interval [CI] = 0.488–0.959, P=0.028; obesity only group, HR = 0.330, 95% CI = 0.182–0.598, P<0.001; dynapenic obesity group, HR = 0.390, 95% CI = 0.206–0.739, P=0.004). Conclusion Elderly HF patients with dynapenia alone had poor prognoses. Obesity may have protective effects on the survival of dynapenia patients with HF.

Prognostic impact of LDH and HCG levels in marker-positive seminomas.

2020 ◽  
Vol 38 (6_suppl) ◽  
pp. 392-392 ◽  
Author(s):  
Christoph Alexander Seidel ◽  
Gedske Daugaard ◽  
Tim Nestler ◽  
Alexey Tryakin ◽  
Christian Daniel Fankhauser ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Cox Regression ◽  
Serum Levels ◽  
Rank Test ◽  
Prognostic Impact ◽  
Recurrence Free Survival ◽  
Free Survival ◽  
Cox Regression Analysis ◽  
Oncological Outcomes ◽  
Log Rank Test

392 Background: The prognostic impact of LDH and HCG serum levels in marker positive metastatic seminoma patients is uncertain. This analysis evaluated the association between LDH and HCG levels with oncological outcomes in this patient population. Methods: Seminoma patients with elevated HCG levels were retrospectively analyzed. After stratification according to tumor marker levels pre- and post-orchiectomy, outcomes of subgroups were compared using log-rank test and cox-regression analysis. Study endpoints were cancer specific- (CSS) and recurrence-free survival (RFS). Results: In total, 429 HCG-positive metastatic seminoma patients (stage II n=291; stage III n=138) diagnosed between 1981 and 2018 were included. LDH + HCG levels ranged from 124 U/l to 8833 U/l (median: 619; IQR: 955) + 2 IU/l to 283,782 IU/l (median: 20; IQR: 63) pre- and from 107 U/l to 8650 U/l (median: 324; IQR: 481) + 0 IU/l to 36700 IU/l post-orchiectomy (median: 30; IQR: 121), respectively. Five-year CSS and RFS rates were 90% and 79%, respectively. Patients with LDH levels pre-orchiectomy <1.5 UNL (n=142) had a 5-year CSS (RFS) rate of 97% (88%), compared to 86% (81%) for ≥1.5 to 3 UNL (n=40), 83% (77%) for >3 to 5 UNL (n=44) and 83% (72%) for >5 UNL (n=44) (CSS p <0.001; RFS p=0.142). Concerning LDH levels post-orchiectomy this stratification was not significant but patients with LDH levels ≥3 UNL (n=77) displayed an impaired prognosis associated with a 5-year CSS (RFS) rate of 85% (79%) compared to 94% (82%) for levels <3 UNL (n=186) (CSS p=0.025; RFS p=0.447). Patients with HCG levels ≥2000 IU/l (n=17) pre- but not post-orchiectomy had a 5-year CSS (RFS) rate of 73% (60%) compared to 94% (79%) for patients with HCG levels <2000 IU/l (n=855) (CSS p=0.09; RFS p=0.04). In cox-regression analysis LDH ≥1.5 UNL (p=0.037; HR 3.32, CI95%1.08-10.26) and HCG levels ≥2000 IU/l (p=0.044; HR 3.69, 95%CI1.04-13.13) pre-orchiectomy were confirmed as prognostic factors for CSS. Conclusions: LDH levels inversely correlate with survival outcomes, suggesting ≥1.5 UNL pre- and ≥3 UNL post-orchiectomy as potential cut-off values for further risk assessment. Patients with extensive HCG elevations may represent an unfavorable subgroup concerning RFS and CSS, but only few patients were affected.

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