Proliferation-dominant high-grade astrocytoma: survival benefit associated with extensive resection of FLAIR abnormality region

2020 ◽  
Vol 132 (4) ◽  
pp. 998-1005 ◽  
Author(s):  
Haihui Jiang ◽  
Yong Cui ◽  
Xiang Liu ◽  
Xiaohui Ren ◽  
Mingxiao Li ◽  
...  
Keyword(s):  
Survival Benefit ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Characteristic Curve ◽  
Extent Of Resection ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
High Grade ◽  
Extensive Resection ◽  
High Grade Astrocytoma

OBJECTIVEThe aim of this study was to investigate the relationship between extent of resection (EOR) and survival in terms of clinical, molecular, and radiological factors in high-grade astrocytoma (HGA).METHODSClinical and radiological data from 585 cases of molecularly defined HGA were reviewed. In each case, the EOR was evaluated twice: once according to contrast-enhanced T1-weighted images (CE-T1WI) and once according to fluid attenuated inversion recovery (FLAIR) images. The ratio of the volume of the region of abnormality in CE-T1WI to that in FLAIR images (VFLAIR/VCE-T1WI) was calculated and a receiver operating characteristic curve was used to determine the optimal cutoff value for that ratio. Univariate and multivariate analyses were performed to identify the prognostic value of each factor.RESULTSBoth the EOR evaluated from CE-T1WI and the EOR evaluated from FLAIR could divide the whole cohort into 4 subgroups with different survival outcomes (p < 0.001). Cases were stratified into 2 subtypes based on VFLAIR/VCE-T1WIwith a cutoff of 10: a proliferation-dominant subtype and a diffusion-dominant subtype. Kaplan-Meier analysis showed a significant survival advantage for the proliferation-dominant subtype (p < 0.0001). The prognostic implication has been further confirmed in the Cox proportional hazards model (HR 1.105, 95% CI 1.078–1.134, p < 0.0001). The survival of patients with proliferation-dominant HGA was significantly prolonged in association with extensive resection of the FLAIR abnormality region beyond contrast-enhancing tumor (p = 0.03), while no survival benefit was observed in association with the extensive resection in the diffusion-dominant subtype (p=0.86).CONCLUSIONSVFLAIR/VCE-T1WIis an important classifier that could divide the HGA into 2 subtypes with distinct invasive features. Patients with proliferation-dominant HGA can benefit from extensive resection of the FLAIR abnormality region, which provides the theoretical basis for a personalized resection strategy.

Association of Surgical Resection, Disability, and Survival in Patients with Glioblastoma

2019 ◽  
Vol 80 (04) ◽  
pp. 262-268 ◽  
Author(s):  
Yahya Ahmadipour ◽  
Monika Kaur ◽  
Daniela Pierscianek ◽  
Oliver Gembruch ◽  
Marvin Darkwah Oppong ◽  
...  
Keyword(s):  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Karnofsky Performance Status ◽  
Performance Status ◽  
Extent Of Resection ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Hazards Model ◽  
Surgical Modality ◽  
Supratotal Resection

Objective Extent of resection (EOR) and Karnofsky Performance Status (KPS) are at odds in glioblastoma (GBM) surgery, that is, the anticipated postoperative disability limits the EOR. This study analyzes the correlation of different surgical modalities with the resulting physical status and survival of patients with GBM. Methods A total of 565 patients with primary GBM were operated on in a single institution between 2006 and 2014. Possible surgical modalities comprised supratotal resection (SLR), gross total resection (GTR; ≥ 95% by volume), tumor debulking (TDB; ≤ 95% by volume), and stereotactic biopsy (SB). Pre- and postoperative KPS before and up to 4 weeks after surgery as well as overall survival (OS) rate were determined retrospectively. Hazard ratio (HR) and 95% confidence intervals were calculated using a Cox proportional hazards model. Results Median postoperative KPS was ≥ 70, irrespective of surgical modality. Mean OS was 12.5 months. Multivariate analysis revealed age ≥ 70 years (HR: 1.93), preoperative KPS < 70 (HR: 2.15), and unmethylation in MGMT promoter (HR: 1.27) as independent factors for worse OS. Regarding surgical modality, SB was associated with the worst survival (HR: 2.3) followed by TDB (HR: 1.36). SLR was inferior to GTR (HR: 1.27). Conclusion Higher EOR in patients with GBM does not seem inevitably correlated with increasing functional impairment, but better survival, provided there is a balanced preoperative indication. Nevertheless, SLR does not seem to be superior to GTR. Whenever possible, maximal safe resection should be considered in patients with GBM, even if an EOR ≥ 95% is not possible.

Multiple chemotherapy (CT) lines in metastatic breast cancer (MBC): Which survival benefit for women with hormone receptor (HR)-positive disease?

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 589-589 ◽  
Author(s):  
Raffaella Palumbo ◽  
Antonio Bernardo ◽  
Alberto Riccardi ◽  
Federico Sottotetti ◽  
Cristina Teragni ◽  
...  
Keyword(s):  
Survival Benefit ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Univariate Analysis ◽  
Metastatic Breast ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Factors Affecting ◽  
Significant Difference ◽  
Third Line

589 Background: Although the development of modern systemic therapies has clearly improved outcome of patients with MBC, the true impact of further CT on overall survival (OS) and QoL of these women is still debated. The aim of this study was to determine which benefit could be brought by successive CT lines in patients with HR-positive disease, aiming to identify factors affecting outcome and survival. Methods: This retrospective analysis included 980 women treated with CT for MBC at our Institution over a eight year period (July 2000-July 2008). With OS data updated in March 2010, the median follow-up was 146 months (range 48-198), OS and time to treatment failure (TTF) were calculated according to the Kaplan-Meyer method for each CT line. Cox proportional hazards model was used to identify factors that could influence TTF and OS. Results: Median OS evaluated from day 1 of each CT line decreased with the line number from 34.8 months for first line to 8.2 months for 7 or more lines). Median TTF ranged from 9.2 months to 7.8 and 6.4 months for the first, second and third line, respectively, with no significant decrease observed beyond the third line (median 5.2 months, range 4.8-6.2). No statistically significant difference was found between HR-positive and HR-negative patients in terms of OS and TTF by each CT line. In univariate analysis factors positively linked to a longer duration of TTF for each CT line were positive hormonal receptor status, more than 3 hormonotherapy lines, absence of liver metastasis, adjuvant CT exposure, response to CT for the metastatic disease; in the multivariate analysis the duration of TTF for each CT line was the only one factor with significant impact on survival benefit for subsequent treatments, in both HR-positive and negative populations (p<0.001). Conclusions: Our results support the benefit of multiple lines of CT in a significant subset of women treated for MBC, since each CT line may contribute to a longer OS. Of interest, such a benefit was also observed for patients with HR-positive disease, although the number of hormonotherpy lines received did not significantly influence the outcome.

scholarly journals Survival Benefit of Adjuvant Chemotherapy After Pancreatoduodenectomy for Ampullary Adenocarcinoma: a Propensity-Matched National Cancer Database (NCDB) Analysis

2020 ◽  
Author(s):  
Sivesh K. Kamarajah ◽  
Filip Bednar ◽  
Clifford S. Cho ◽  
Hari Nathan
Keyword(s):  
Adjuvant Chemotherapy ◽  
Survival Benefit ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Cox Proportional Hazards ◽  
Margin Status ◽  
Cox Proportional Hazards Model ◽  
National Cancer Database ◽  
Neoadjuvant Radiotherapy ◽  
Ampullary Adenocarcinoma

Abstract Background The benefit of adjuvant chemotherapy (AC) after pancreatoduodenectomy (PD) for ampullary adenocarcinoma is uncertain. We aimed to evaluate the association of AC with survival in patients with resected ampullary adenocarcinoma. Methods Using the National Cancer Database (NCDB) data from 2004 to 2016, patients with non-metastatic ampullary adenocarcinoma who underwent PD were identified. Patients with neoadjuvant radiotherapy and chemotherapy and survival < 6 months were excluded. Propensity score matching was used to account for treatment selection bias. A multivariable Cox proportional hazards model was then used to analyze the association of AC with survival. Results Of 3186 (43%) AC and 4172 (57%) no AC (noAC) patients, 1720 AC and 1720 noAC patients remained in the cohort after matching. Clinicopathologic variables were well balanced after matching. After matching, AC was associated with improved survival (median 47.5 vs 39.6 months, p = 0.003), which remained after multivariable adjustment (HR: 0.83, CI95%: 0.76–0.91, p < 0.001). Multivariable interaction analyses showed that this benefit was seen irrespective of nodal status: N0 (HR: 0.81, CI95%: 0.68–0.97, p < 0.001), N1 (HR: 0.65, CI95%: 0.61–0.70, p < 0.001), N2 (HR: 0.73, CI95%: 0.59–0.90, p = 0.003), N3 (HR: 0.59, CI95%: 0.44–0.78, p < 0.001); and margin status: R0 (HR: 0.85, CI95%: 0.77–0.94, p < 0.001), R1 (HR: 0.69, CI95%: 0.48–1.00, p < 0.001). Stratified analyses by nodal and margin status demonstrated consistent results. Conclusion In this large retrospective cohort study, AC after resected ampullary adenocarcinoma was associated with a survival benefit in patients, including patients with node-negative and margin-negative disease.

scholarly journals Survival Benefit of Post-Operative Radiotherapy in Patients with Resectable Pancreatic Head Adenocarcinoma

2020 ◽  
Author(s):  
yu gan ◽  
su song ◽  
li bo ◽  
cheng fan
Keyword(s):  
Survival Benefit ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Pancreatic Head ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Beneficial Effects ◽  
Hazards Model ◽  
Before And After

Abstract Background Controversy still exis ts with regard to the beneficial effects of adjuvant radiotherapy (RT) on patients with resectable pancreatic head adenocarcinoma. The aim was to investigate the role of post-operative RT in resectable pancreatic head adenocarcinoma.Methods A total of 2092 patients with resectable pancreatic head adenocarcinoma were enrolled from 2004 to 2016. The data of these patients were obtained from the Surveillance, Epidemiology and End Results (SEER) database of the National Cancer Institute. The propensity score matching method was used to avoid selection bias of the treatment. A multivariable Cox proportional hazards model was used in analyzing the survival benefit from the utilization of post-operative RT.Results In total, 186 patients received post-operative RT after pancreatic head adenocarcinoma resection. Compared with patients who only underwent surgery (n = 1906), the subjects who had postoperative RT were younger (P = 0.000) and had a greater TNM stage (P = 0.00). The baseline characteristics of the two groups were well matched, and more notable in the clinicopathologic and demographic aspects. Before and after matching, the patients who received post-operative RT after pancreatic head adenocarcinoma resection had a higher survival rate than those who underwent only resection (P = 0.00). Subgroups analyses revealed that this benefit was restricted to patients with Lymph node invasion (P = 0.00).Conclusions Pancreatic head adenocarcinoma resection followed by post-operative RT demonstrated considerable survival benefit in relation to surgery alone.

scholarly journals Serum Myostatin Predicts the Risk of Hepatocellular Carcinoma in Patients with Alcoholic Cirrhosis: A Multicenter Study

Cancers ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3347
Author(s):  
Ji Hyun Kim ◽  
Seong Hee Kang ◽  
Minjong Lee ◽  
Gi Soo Youn ◽  
Tae Suk Kim ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Multicenter Study ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Characteristic Curve ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Enzyme Linked Immunosorbent Assay ◽  
Platelet Counts ◽  
Hazards Model

Background and Aim: Previous studies reported that serum myostatin is associated with sarcopenia. We aimed to elucidate the association between serum myostatin levels and hepatocellular carcinoma (HCC) development in patients with alcoholic liver cirrhosis (ALC). Methods: This retrospective, multicenter study assessed 1077 Asian ALC patients enrolled from 2007 to 2017. The primary endpoint was the development of HCC within 5 years. Cox proportional hazards model analyses were used to assess the association of serum myostatin levels and HCC development. The time-dependent areas under the receiver operating characteristic curve (AUROC) of serum myostatin for 5-year HCC development were calculated. Serum myostatin levels were measured using an enzyme-linked immunosorbent assay with samples collected on the index date. Results: During a median follow-up of 2.5 years, 5-year cumulative HCC incidence rates were 6.7% in the total population. The median level of serum myostatin was 3.3 ng/mL (interquartile, 2.1–5.2 ng/mL). The AUROC of serum myostatin for 5-year HCC development was 0.78 (95% confidence interval [CI], 0.76–0.81). In Cox proportional hazards model analyses, age, gender, platelet counts, and serum myostatin levels were independent risk factors for HCC development (adjusted hazard ratios [HRs] of age, male gender, platelet counts, and serum myostatin: 1.03, 2.79, 0.996, 1.18, respectively; all p < 0.05). Patients with high myostatin levels had a significantly higher risk of 5-year HCC development than those with low myostatin levels (HR 7.53, p < 0.001). Conclusion: Higher serum myostatin levels were significantly associated with a higher risk of developing HCC in ALC patients, which could identify high-risk patients who need stringent surveillance.

scholarly journals Impact of Comorbidity, Race, and Marital Status in Men Referred for Prostate Biopsy with PSA >20 ng/mL: A Pilot Study in High-Risk Patients

2014 ◽  
Vol 2014 ◽  
pp. 1-5
Author(s):  
Zachary Klaassen ◽  
Roberto Muller ◽  
Qiang Li ◽  
Alexander J. Tatem ◽  
Sherita A. King ◽  
...  
Keyword(s):  
Marital Status ◽  
Prostate Biopsy ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
African American Men ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
High Grade ◽  
Multinomial Regression ◽  
The Impact

Objective. To assess the impact of comorbidity, race, and marital status on overall survival (OS) among men presenting for prostate biopsy with PSA >20 ng/mL. Methods. Data were reviewed from 2000 to 2012 and 78 patients were included in the cohort. We analyzed predictors of OS using a Cox proportional hazards model and the association between Charlson Comorbidity Index (CCI) score and PCa diagnosis or high-grade cancer using logistic regression and multinomial regression models, respectively. Results. The median age of patients was 62.5 (IQR 57–73) years. Median CCI was 3 (IQR 2–4), 69% of patients were African American men, 56% of patients were married, and 85% of patients had a positive biopsy. CCI (HR 1.52, 95% CI 1.19, 1.94), PSA (HR 1.62, 95% CI 1.09, 2.42), and Gleason sum (HR 2.04, 95% CI 1.17, 3.56) were associated with OS. CCI was associated with Gleason sum 7 (OR 4.06, 95% CI 1.04, 15.89) and Gleason sum 8–10 (OR 4.52, 95% CI 1.16, 17.54) PCa. Conclusions. CCI is an independent predictor of high-grade disease and worse OS among men with PCa. Race and marital status were not significantly associated with survival in this cohort. Patient comorbidity is an important component of determining the optimal approach to management of prostate cancer.

scholarly journals Analysis of factors affecting the prognosis of COVID-19 patients and viral shedding duration

2020 ◽  
Vol 148 ◽  
Author(s):  
Jing Han ◽  
Li-xia Shi ◽  
Yi Xie ◽  
Yong-jin Zhang ◽  
Shu-ping Huang ◽  
...  
Keyword(s):  
Disease Progression ◽  
Clinical Characteristics ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Characteristic Curve ◽  
Severe Disease ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Early Detection Of Disease ◽  
Viral Shedding

Abstract The clinical characteristics of patients with COVID-19 were analysed to determine the factors influencing the prognosis and virus shedding time to facilitate early detection of disease progression. Logistic regression analysis was used to explore the relationships among prognosis, clinical characteristics and laboratory indexes. The predictive value of this model was assessed with receiver operating characteristic curve analysis, calibration and internal validation. The viral shedding duration was calculated using the Kaplan–Meier method, and the prognostic factors were analysed by univariate log-rank analysis and the Cox proportional hazards model. A retrospective study was carried out with patients with COVID-19 in Tianjin, China. A total of 185 patients were included, 27 (14.59%) of whom were severely ill at the time of discharge and three (1.6%) of whom died. Our findings demonstrate that patients with an advanced age, diabetes, a low PaO2/FiO2 value and delayed treatment should be carefully monitored for disease progression to reduce the incidence of severe disease. Hypoproteinaemia and the fever duration warrant special attention. Timely interventions in symptomatic patients and a time from symptom onset to treatment <4 days can shorten the duration of viral shedding.

Age at Exposure to Parental Suicide and the Subsequent Risk of Suicide in Young People

Crisis ◽  
2018 ◽  
Vol 39 (1) ◽  
pp. 27-36 ◽  
Author(s):  
Kuan-Ying Lee ◽  
Chung-Yi Li ◽  
Kun-Chia Chang ◽  
Tsung-Hsueh Lu ◽  
Ying-Yeh Chen
Keyword(s):  
Young People ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Birth Registry ◽  
Data Set ◽  
Parental Suicide ◽  
The Impact ◽  
Age At Exposure

Abstract. Background: We investigated the age at exposure to parental suicide and the risk of subsequent suicide completion in young people. The impact of parental and offspring sex was also examined. Method: Using a cohort study design, we linked Taiwan's Birth Registry (1978–1997) with Taiwan's Death Registry (1985–2009) and identified 40,249 children who had experienced maternal suicide (n = 14,431), paternal suicide (n = 26,887), or the suicide of both parents (n = 281). Each exposed child was matched to 10 children of the same sex and birth year whose parents were still alive. This yielded a total of 398,081 children for our non-exposed cohort. A Cox proportional hazards model was used to compare the suicide risk of the exposed and non-exposed groups. Results: Compared with the non-exposed group, offspring who were exposed to parental suicide were 3.91 times (95% confidence interval [CI] = 3.10–4.92 more likely to die by suicide after adjusting for baseline characteristics. The risk of suicide seemed to be lower in older male offspring (HR = 3.94, 95% CI = 2.57–6.06), but higher in older female offspring (HR = 5.30, 95% CI = 3.05–9.22). Stratified analyses based on parental sex revealed similar patterns as the combined analysis. Limitations: As only register-­based data were used, we were not able to explore the impact of variables not contained in the data set, such as the role of mental illness. Conclusion: Our findings suggest a prominent elevation in the risk of suicide among offspring who lost their parents to suicide. The risk elevation differed according to the sex of the afflicted offspring as well as to their age at exposure.

scholarly journals Adapting the Default Weighted Survival Analysis Modelling Approach to Model IFRS 9 LGD

Risks ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 103
Author(s):  
Morne Joubert ◽  
Tanja Verster ◽  
Helgard Raubenheimer ◽  
Willem D. Schutte
Keyword(s):  
Survival Analysis ◽  
Financial Reporting ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Survival Curve ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Reporting Standard ◽  
International Financial Reporting Standard ◽  
Ifrs 9

Survival analysis is one of the techniques that could be used to predict loss given default (LGD) for regulatory capital (Basel) purposes. When using survival analysis to model LGD, a proposed methodology is the default weighted survival analysis (DWSA) method. This paper is aimed at adapting the DWSA method (used to model Basel LGD) to estimate the LGD for International Financial Reporting Standard (IFRS) 9 impairment requirements. The DWSA methodology allows for over recoveries, default weighting and negative cashflows. For IFRS 9, this methodology should be adapted, as the estimated LGD is a function of in the expected credit losses (ECL). Our proposed IFRS 9 LGD methodology makes use of survival analysis to estimate the LGD. The Cox proportional hazards model allows for a baseline survival curve to be adjusted to produce survival curves for different segments of the portfolio. The forward-looking LGD values are adjusted for different macro-economic scenarios and the ECL is calculated for each scenario. These ECL values are probability weighted to produce a final ECL estimate. We illustrate our proposed IFRS 9 LGD methodology and ECL estimation on a dataset from a retail portfolio of a South African bank.

scholarly journals Risk factors associated with major adverse cardiac and cerebrovascular events following percutaneous coronary intervention: a 10-year follow-up comparing random survival forest and Cox proportional-hazards model

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Maryam Farhadian ◽  
Sahar Dehdar Karsidani ◽  
Azadeh Mozayanimonfared ◽  
Hossein Mahjub
Keyword(s):  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Coronary Intervention ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Hazards Model ◽  
Cerebrovascular Events ◽  
Long Term Follow Up ◽  
Stent Length

Abstract Background Due to the limited number of studies with long term follow-up of patients undergoing Percutaneous Coronary Intervention (PCI), we investigated the occurrence of Major Adverse Cardiac and Cerebrovascular Events (MACCE) during 10 years of follow-up after coronary angioplasty using Random Survival Forest (RSF) and Cox proportional hazards models. Methods The current retrospective cohort study was performed on 220 patients (69 women and 151 men) undergoing coronary angioplasty from March 2009 to March 2012 in Farchshian Medical Center in Hamadan city, Iran. Survival time (month) as the response variable was considered from the date of angioplasty to the main endpoint or the end of the follow-up period (September 2019). To identify the factors influencing the occurrence of MACCE, the performance of Cox and RSF models were investigated in terms of C index, Integrated Brier Score (IBS) and prediction error criteria. Results Ninety-six patients (43.7%) experienced MACCE by the end of the follow-up period, and the median survival time was estimated to be 98 months. Survival decreased from 99% during the first year to 39% at 10 years' follow-up. By applying the Cox model, the predictors were identified as follows: age (HR = 1.03, 95% CI 1.01–1.05), diabetes (HR = 2.17, 95% CI 1.29–3.66), smoking (HR = 2.41, 95% CI 1.46–3.98), and stent length (HR = 1.74, 95% CI 1.11–2.75). The predictive performance was slightly better by the RSF model (IBS of 0.124 vs. 0.135, C index of 0.648 vs. 0.626 and out-of-bag error rate of 0.352 vs. 0.374 for RSF). In addition to age, diabetes, smoking, and stent length, RSF also included coronary artery disease (acute or chronic) and hyperlipidemia as the most important variables. Conclusion Machine-learning prediction models such as RSF showed better performance than the Cox proportional hazards model for the prediction of MACCE during long-term follow-up after PCI.

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