Analysis of Factors Associated With Outcome in Patients With Malignant Peritoneal Mesothelioma Undergoing Surgical Debulking and Intraperitoneal Chemotherapy

Purpose: Malignant mesothelioma (MM) arising in the peritoneal cavity is a rare neoplasm characterized by peritoneal progression and for which there are limited therapeutic options. We evaluated the peritoneal progression-free and overall survival (PFS and OS, respectively) for patients with peritoneal MM after surgical resection and regional chemotherapy. Patients and Methods: Forty-nine patients (28 males, 21 females; median age, 47 years; range, 16 to 76 years) with MM underwent laparotomy, tumor resection, continuous hyperthermic peritoneal perfusion with cisplatin (median dose 250 mg/m2), and a single postoperative intraperitoneal dwell of fluorouracil and paclitaxel (n = 35) on protocols approved by the Institutional Review Board. Standard techniques for actuarial analyses of potential prognostic variables (Kaplan-Meier method with two-tailed log-rank test and Cox proportional hazards model) were performed. Results: At a median potential follow-up of 28.3 months, median actuarial PFS is 17 months and actuarial OS is 92 months. Factors associated with improved PFS and OS by the Cox proportional hazards model were a history of previous debulking surgery, absence of deep tissue invasion, minimal residual disease after surgical resection (OS only), and age younger than 60 years (OS only). Conclusion: Surgical resection and regional chemotherapy for MM results in durable PFS and OS. Favorable outcome is associated with age, tumor biology (selection of patients with a history of previous debulking), lack of invasive tumor growth, and minimal residual disease after tumor resection.

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Clinical features and outcomes of secondary somatic malignancy (SSM) arising from teratoma in late relapse germ cell tumor (GCT).

Journal of Clinical Oncology ◽

10.1200/jco.2019.37.7_suppl.518 ◽

2019 ◽

Vol 37 (7_suppl) ◽

pp. 518-518

Author(s):

Nathan Colin Wong ◽

Shawn Dason ◽

Lucas W. Dean ◽

Sumit Isharwal ◽

Mark Donoghue ◽

...

Keyword(s):

Median Time ◽

Surgical Resection ◽

Proportional Hazards ◽

Proportional Hazards Model ◽

Multivariable Analysis ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Late Relapse ◽

Hazards Model ◽

Kaplan Meier

518 Background: Late relapse (>2 years) GCT is associated with an increased rate of SSM. We report our experience with SSM in the setting of late relapse and determine predictors of overall survival (OS). Methods: From 1985 to 2018, 46 patients with GCT and SSM at late relapse were identified. Clinical and pathologic parameters were reviewed. The Kaplan-Meier method was used to estimate OS from time of relapse and a Cox proportional hazards model to assess predictors of OS. Results: Of 46 men (44 testicular primary, 2 mediastinal primary), median time to late relapse with SSM was 10.4 years (range, 2.3 - 38.1). Most (n=27, 59%) were symptomatic at presentation but 11 were detected by elevated tumor markers (AFP 8, HCG 2, both 1) and 8 by surveillance imaging. SSMs were adenocarcinoma (25), sarcoma (14), poorly differentiated neoplasm (3), Wilms (2), PNET (1) and glioma (1). Median time to relapse was longer for adenocarcinoma vs other histotypes of SSM (14.6 vs 4.1 years, p < 0.001). The initial site of relapse was the retroperitoneum (RP, 26), pelvis (7), lung (6), retrocrural space (3), mediastinum (2), neck (1) and duodenum (1). Only 10 of 26 men with late relapse in the RP had undergone prior RPLND (all at outside institutions; variable templates) with histology in 7/10 showing teratoma. The other 16 men had received chemotherapy only (8), orchiectomy only for stage I (3), RPLND aborted due to cardiac arrest (1), and unknown (4). All 46 late relapses were managed with surgical resection; 26 also received chemotherapy (16 SSM-directed, 10 GCT-directed). Overall, 12 patients died and the median OS was 14.2 years. On univariable analysis, symptomatic presentation (HR = 3.1), SSM at multiple sites (HR = 3.9), extra-RP disease (HR: 3.9), and incomplete/no resection of SSM (HR = 3.6) predicted mortality. On multivariable analysis, only extra-RP disease was independently associated with inferior OS (5-year OS, 82 vs 52%, p = 0.017). Conclusions: SSM is an important potential complication of late relapse GCT and seems to be associated with the lack of resection of retroperitoneal metastases. Early identification and complete surgical resection prior to SSM arising in extra-RP sites is critical to optimizing outcomes.

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Colorectal Cancer Surgery in Patients Older than 80 Years of Age: Experience at One Nonteaching Hospital in Japan

The American Surgeon ◽

10.1177/000313481107701132 ◽

2011 ◽

Vol 77 (11) ◽

pp. 1454-1459 ◽

Cited By ~ 2

Author(s):

Hiromichi Maeda ◽

Takehiro Okabayashi ◽

Kengo Ichikawa ◽

Jyunichi Miyazaki ◽

Kazuhiro Hanazaki ◽

...

Keyword(s):

Colorectal Cancer ◽

Elderly Patients ◽

Surgical Resection ◽

Proportional Hazards ◽

Proportional Hazards Model ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Colorectal Cancer Surgery ◽

Nonteaching Hospital ◽

Hazards Model

The safety and efficacy of surgical treatment for colorectal cancer in patients older than 80 years of age are seldom assessed. The aim of the present study was to compare short- and long-term outcomes after surgery between younger and elderly patients at a single nonteaching hospital. In all, 342 consecutive patients who underwent surgical resection for invasive primary colorectal cancer between April 1999 and April 2007 were included in the study. Patients were divided into two groups according to their age at the time of surgery, those younger than 79 years of age (n = 283) and those older than 80 years of age (n = 59). A greater proportion of elderly patients had concurrent disease before surgery, right-sided colon cancer, and postoperative complications. Cox proportional hazards model (multivariate analysis) identified three independent risk factors for a poor outcome after surgery (excluding death by other causes): 1) the presence of preoperative symptoms; 2) noncurative resection for colorectal cancer; and 3) the presence of lymph node metastases. Age older than 80 years was not a risk factor for a poor postoperative prognosis. At our nonteaching hospital, surgical resection appears to be a safe and beneficial treatment option for elderly patients (older than 80 years of age) who have colorectal cancer.

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MLTI-06. Surgical resection plus stereotactic radiosurgery versus SRS alone for large brain metastases: a comparative study

Neuro-Oncology Advances ◽

10.1093/noajnl/vdab071.055 ◽

2021 ◽

Vol 3 (Supplement_3) ◽

pp. iii14-iii14

Author(s):

Enrique Gutierrez ◽

Aristotelis Kalyvas ◽

Conrad Villafuerte ◽

Barbara-Ann Millar ◽

Tatiana Conrad ◽

...

Keyword(s):

Brain Metastases ◽

Stereotactic Radiosurgery ◽

Surgical Resection ◽

Proportional Hazards ◽

Proportional Hazards Model ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Hazards Model ◽

Kaplan Meier ◽

Large Brain

Abstract Purpose Large brain metastases (BRM) are challenging to manage. Therapeutic options include Stereotactic Radiosurgery (SRS) or surgery (S) with adjuvant SRS. We sought to compare overall survival (OS), radionecrosis (RN), local failure (LF), pachymeningeal (PMD) and leptomeningeal (LMD) disease in patients treated with SRS vs. S+SRS. Methods We reviewed a prospective registry database from 2009 to 2020 and identified all patients with BRM (≥4cc in volume) treated with SRS or S+SRS. WBRT or SRS re-targeting the index lesion were censoring events. Survival percentages were calculated using the Kaplan-Meier method. Differences between groups were tested using the Cox proportional hazards model. Results 383 patients were identified, 128 and 255 were treated with S+SRS and SRS, respectively. Median ages in the S+SRS and SRS groups were 62.2 (23.6–98.5) and 60.2 (20.2–97.4) (P 0.33). OS at 12 and 24 months was 69% and 41% vs 55% and 20% for the S+SRS and SRS groups, respectively hazard ratio (HR) 1.64 (1.23–2.18) (P<0.001). LF requiring salvage surgery at 12 and 24 months were 3% and 5% vs 8% and 10% for S+SRS and SRS groups, respectively (P 0.067). RN at 12 and 24 months were 9% and 17% vs 15% and 21% for S+SRS and SRS groups, respectively 1.32 HR (0.77–2.29) (P =0.32). PMD disease at 12 and 24 months were 16% and 21% vs 3% and 7% for S+SRS and SRS groups, respectively HR 0.26(0.12–0.56) (P < 0.001). LMD at 12 and 24 months were 4% and 6% vs 2% and 4% for S+SRS and SRS groups, respectively HR 0.73(0.25–2.17) (P 0.57). Conclusion Surgical resection plus SRS correlated with improved OS and a trend towards a decreased incidence of LF compared to SRS alone. However, patients treated with S experienced an increased incidence of PMD.

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Additive Hazard Regression Models: An Application to the Natural History of Human Papillomavirus

Computational and Mathematical Methods in Medicine ◽

10.1155/2013/796270 ◽

2013 ◽

Vol 2013 ◽

pp. 1-7 ◽

Cited By ~ 12

Author(s):

Xianhong Xie ◽

Howard D. Strickler ◽

Xiaonan Xue

Keyword(s):

Proportional Hazards ◽

Proportional Hazards Model ◽

Cox Model ◽

Additive Model ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Hazards Model ◽

History Of ◽

Oncogenic Hpv ◽

Hiv Negative

There are several statistical methods for time-to-event analysis, among which is the Cox proportional hazards model that is most commonly used. However, when the absolute change in risk, instead of the risk ratio, is of primary interest or when the proportional hazard assumption for the Cox proportional hazards model is violated, an additive hazard regression model may be more appropriate. In this paper, we give an overview of this approach and then apply a semiparametric as well as a nonparametric additive model to a data set from a study of the natural history of human papillomavirus (HPV) in HIV-positive and HIV-negative women. The results from the semiparametric model indicated on average an additional 14 oncogenic HPV infections per 100 woman-years related to CD4 count < 200 relative to HIV-negative women, and those from the nonparametric additive model showed an additional 40 oncogenic HPV infections per 100 women over 5 years of followup, while the estimated hazard ratio in the Cox model was 3.82. Although the Cox model can provide a better understanding of the exposure disease association, the additive model is often more useful for public health planning and intervention.

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Discontinuation rates of different contraceptive methods in Thai women up to 1-year after method initiation

Scientific Reports ◽

10.1038/s41598-021-90373-6 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Unnop Jaisamrarn ◽

Monchai Santipap ◽

Somsook Santibenchakul

Keyword(s):

Proportional Hazards ◽

Proportional Hazards Model ◽

Intrauterine Device ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Oral Contraceptive Pills ◽

Thai Women ◽

Hazards Model ◽

Contraceptive Implant ◽

History Of

AbstractWe assessed the discontinuation rate and the reason for discontinuation of common contraceptives used by reproductive-aged Thai women. We recruited 1880 women aged 18–45 years from the Family Planning Clinic of the Chulalongkorn Hospital in Bangkok. The participants were followed at three, six and twelve months. A Cox proportional hazards model was used to determine personal risks of discontinuing contraceptives. The incidence rate for discontinuation of combined oral contraceptive pills (COCs), depot medroxyprogesterone acetate (DMPA), copper intrauterine device (IUD), and contraceptive implant(s) were 21.3, 9.2, 4.4, and 2.3/100 person-years, respectively. Most of the women who discontinued (185/222) discontinued contraceptives due to side effects. Compared to contraceptive implant users, the adjusted hazard ratios (aHRs) [95% confidence intervals (CIs)] of discontinuing COCs, DMPA, and the copper IUD were 9.6 (4.3–21.8), 4.2 (1.8–10.0), and 2.2 (0.8–5.9), respectively. Lower income, higher parity, history of miscarriage, and history of abortion were independent predictors of contraceptive discontinuation in a multivariable model.

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External validation of H2ARDD score for the prediction of heart failure events in patients with atrial fibrillation

European Heart Journal ◽

10.1093/eurheartj/ehab724.0480 ◽

2021 ◽

Vol 42 (Supplement_1) ◽

Author(s):

N Taniguchi ◽

Y Miyasaka ◽

Y Suwa ◽

S Harada ◽

E Nakai ◽

...

Keyword(s):

Heart Failure ◽

Confidence Interval ◽

Proportional Hazards ◽

Proportional Hazards Model ◽

Predictive Accuracy ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Hazards Model ◽

Kaplan Meier ◽

History Of

Abstract Background Heart failure is an important consequence in patients with atrial fibrillation (AF) which is associated with worse prognosis. The H2ARDD score, calculated from 5 clinical risk factors, was reported as a predictor of heart failure events in patients with AF. However, this score has not been externally validated. Purpose The purpose of this study was to evaluate and validate the usefulness of the H2ARDD score for the prediction of heart failure events in AF patients. Methods We used prospective data of patients with AF followed up from 2007 to 2017 in our institute. Patients with active cancer were excluded according to the previous report. H2ARDD score was calculated as follows; history of heart disease=2 points, anemia=1 point, renal dysfunction=1 point, diabetes =1 point, diuretic use=1 point (range from 0 to 6 points). Outcome of interest was defined as heart failure events including new-onset heart failure and death with heart failure. Heart failure was ascertained based on the Framingham criteria. Univariable and multivariable Cox-proportional hazards model were used to assess the risk of heart failure events. Heart failure events-free survival was estimated with Kaplan-Meier methods, and the predictive accuracy of the H2ARDD score for the prediction of heart failure events was measured by the area under the receiver operating characteristic (ROC) curve. Results Of 562 AF patients, 522 (age 69±10 year–old, 64.9%men) met study criteria. Patients who had a history of heart disease was 185 (35%), diabetes mellitus was 135 (26%), anemia was 54 (10%), renal dysfunction was 221 (43%), and diuretic use was 193 (37%). The mean H2ARDD score was 1.88±1.57. Of all study patients, 84 (16.2%) developed heart failure events during a mean follow–up of 54±42 months. Patients who developed heart failure events in 1 year was 24 (4.6%). In multivariable Cox–proportional hazards model, H2ARDD score was shown as an significant predictor for heart failure events (hazard ratio: 1.56, 95% confidence interval: 1.36 - 1.79, P<0.0001), independently of age (per 10 years, hazard ratio: 1.35, 95% confidence interval: 1.03 – 1.78, P<0.05). In the Kaplan–Meier analyses stratified by H2ARDD score (0–1, 2–3, 4–6), patients who had a higher H2ARDD sore had significantly worse heart failure event-free survival (log-rank P<0.0001) (Figure 1). The area under the ROC curve for the prediction of heart failure events in 1-year was 0.812 (95% confidence interval: 0.737 – 0.887, P<0.0001), and the best cut-off value was ≥4 points (sensitivity: 67%, specificity: 83%) (Figure 2). Conclusion H2ARDD score was demonstrated as a significant independent predictor for the prediction of heart failure events, with high predictive accuracy. H2ARDD score may be useful for heart failure risk stratification of AF patients. FUNDunding Acknowledgement Type of funding sources: None. Figure 1 Figure 2

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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

BMC Cardiovascular Disorders ◽

10.1186/s12872-020-01834-1 ◽

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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Elevated plasma growth and differentiation factor 15 predicts incident anemia in older adults aged 60 years and older

The Journals of Gerontology Series A ◽

10.1093/gerona/glaa324 ◽

2020 ◽

Author(s):

Yuko Yamaguchi ◽

Marta Zampino ◽

Toshiko Tanaka ◽

Stefania Bandinelli ◽

Yusuke Osawa ◽

...

Keyword(s):

Older Adults ◽

Proportional Hazards ◽

Proportional Hazards Model ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Differentiation Factor ◽

Hazards Model ◽

Increased Risk ◽

The Relationship

Abstract Background Anemia is common in older adults and associated with greater morbidity and mortality. The causes of anemia in older adults have not been completely characterized. Although elevated circulating growth and differentiation factor 15 (GDF-15) has been associated with anemia in older adults, it is not known whether elevated GDF-15 predicts the development of anemia. Methods We examined the relationship between plasma GDF-15 concentrations at baseline in 708 non-anemic adults, aged 60 years and older, with incident anemia during 15 years of follow-up among participants in the Invecchiare in Chianti (InCHIANTI) Study. Results During follow-up, 179 (25.3%) participants developed anemia. The proportion of participants who developed anemia from the lowest to highest quartile of plasma GDF-15 was 12.9%, 20.1%, 21.2%, and 45.8%, respectively. Adults in the highest quartile of plasma GDF-15 had an increased risk of developing anemia (Hazards Ratio 1.15, 95% Confidence Interval 1.09, 1.21, P<.0001) compared to those in the lower three quartiles in a multivariable Cox proportional hazards model adjusting for age, sex, serum iron, soluble transferrin receptor, ferritin, vitamin B12, congestive heart failure, diabetes mellitus, and cancer. Conclusions Circulating GDF-15 is an independent predictor for the development of anemia in older adults.

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Dementia Adjudication Triggers Associated With Increased Mortality for Older Australians: Evidence From ASPREE

Innovation in Aging ◽

10.1093/geroni/igaa057.523 ◽

2020 ◽

Vol 4 (Supplement_1) ◽

pp. 161-161

Author(s):

Jane Banaszak-Holl ◽

Xiaoping Lin ◽

Jing Xie ◽

Stephanie Ward ◽

Henry Brodaty ◽

...

Keyword(s):

Proportional Hazards ◽

Proportional Hazards Model ◽

The Elderly ◽

Cox Proportional Hazards ◽

Service Planning ◽

Cox Proportional Hazards Model ◽

Cognitive Test ◽

Risk Of Death ◽

Hazards Model ◽

Using Data

Abstract Research Aims: This study seeks to understand whether those with dementia experience higher risk of death, using data from the ASPREE (ASPirin in Reducing Events in the Elderly) clinical trial study. Methods: ASPREE was a primary intervention trial of low-dose aspirin among healthy older people. The Australian cohort included 16,703 dementia-free participants aged 70 years and over at enrolment. Participants were triggered for dementia adjudication if cognitive test results were poorer than expected, self-reporting dementia diagnosis or memory problems, or dementia medications were detected. Incidental dementia was adjudicated by an international adjudication committee using the Diagnostic and Statistical Manual for Mental Disorders (DSM-IV) criteria and results of a neuropsychological battery and functional measures with medical record substantiation. Statistical analyses used a cox proportional hazards model. Results: As previously reported, 1052 participants (5.5%) died during a median of 4.7 years of follow-up and 964 participants had a dementia trigger, of whom, 575 (60%) were adjucated as having dementia. Preliminary analyses has shown that the mortality rate was higher among participants with a dementia trigger, regardless of dementia adjudication outcome, than those without (15% vs 5%, Χ2 = 205, p <.001). Conclusion: This study will provide important analyses of differences in the hazard ratio for mortality and causes of death among people with and without cognitive impairment and has important implications on service planning.

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Evaluation of Changes on World Stock Exchanges in Connection with the SARS-CoV-2 Pandemic. Survival Analysis Methods

Risks ◽

10.3390/risks9070121 ◽

2021 ◽

Vol 9 (7) ◽

pp. 121

Author(s):

Beata Bieszk-Stolorz ◽

Krzysztof Dmytrów

Keyword(s):

Survival Analysis ◽

Proportional Hazards ◽

Proportional Hazards Model ◽

Stock Exchange ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Stock Exchanges ◽

Analysis Methods ◽

Hazards Model ◽

Kaplan Meier

The aim of our research was to compare the intensity of decline and then increase in the value of basic stock indices during the SARS-CoV-2 coronavirus pandemic in 2020. The survival analysis methods used to assess the risk of decline and chance of rise of the indices were: Kaplan–Meier estimator, logit model, and the Cox proportional hazards model. We observed the highest intensity of decline in the European stock exchanges, followed by the American and Asian plus Australian ones (after the fourth and eighth week since the peak). The highest risk of decline was in America, then in Europe, followed by Asia and Australia. The lowest risk was in Africa. The intensity of increase was the highest in the fourth and eleventh week since the minimal value had been reached. The highest odds of increase were in the American stock exchanges, followed by the European and Asian (including Australia and Oceania), and the lowest in the African ones. The odds and intensity of increase in the stock exchange indices varied from continent to continent. The increase was faster than the initial decline.

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