scholarly journals Outcomes of Constrained Prostheses in Primary and Revision TKR

2017 ◽  
Vol 5 (5_suppl5) ◽  
pp. 2325967117S0016
Author(s):  
Ben Parkinson ◽  
Michelle Lorimer ◽  
Peter Lewis
Keyword(s):  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Survival Rates ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Knee Prostheses ◽  
Hazards Model ◽  
Kaplan Meier ◽  
Hazard Ratios ◽  
Total Knee

Introduction: The decision to use varus/valgus constrained or hinge knee prostheses in complex Total Knee Replacement (TKR) cases is difficult. There are few publications that compare survival rates, to aid this decision-making. This study compares the survival rates of unlinked fully constrained and hinge constrained prostheses in the primary and revision settings. Methods: Data from the AOANJRR to 31st of December 2013 was analysed to determine the survival rate of unlinked and hinge constrained TKR in the primary and revision settings (excluding the diagnosis of tumour and infection). Only first-time revisions of a known primary TKR were included in the revision analysis. Kaplan-Meier estimates of survivorship were calculated for the two categories of constraint and were matched for age and diagnosis in both primary and revision TKR situations. Hazard ratios using the Cox proportional-hazards model were used. The survivorship of individual prosthesis models was determined. Results: There were 3237 prostheses implanted during the study period that met the inclusion criteria. Of these, 1896 were for primary TKR and 1341 for revision TKR. There were 1349 unlinked fully constrained and 547 hinge prostheses for primary TKR and 991 unlinked fully constrained and 350 hinge prostheses for revision TKR. In both the primary and revision settings when matched by age, there was no difference in rates of revision for either level of constraint. When matched by indication in the primary setting, there was no difference in the rates of revision for either level of constraint. The rate of revision for both categories of constrained prosthesis was significantly higher in younger patients <55 years of age (p < 0.05). There were no differences in survival rates of individual models of constrained TKR. Conclusions: The survival rates of unlinked constrained and hinge knee prostheses are similar when matched by age or diagnosis. In complex TKR instability cases, surgeons should feel confident in choosing the appropriate prosthesis to gain a stable knee and need not be concerned that a hinge prosthesis may carry a higher revision rate.

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

Risks ◽  
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.

scholarly journals Association between milk and yogurt intake and mortality: a community-based cohort study (Yamagata study)

BMC Nutrition ◽  
2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Akiko Nakanishi ◽  
Erika Homma ◽  
Tsukasa Osaki ◽  
Ri Sho ◽  
Masayoshi Souri ◽  
...  
Keyword(s):  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Hazard Analysis ◽  
Total Mortality ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Milk Intake ◽  
Community Based ◽  
Hazards Model ◽  
Kaplan Meier

Abstract Background Dairy products are known as health-promoting foods. This study prospectively examined the association between milk and yogurt intake and mortality in a community-based population. Methods The study population comprised of 14,264 subjects aged 40–74 years who participated in an annual health checkup. The frequency of yogurt and milk intake was categorized as none (< 1/month), low (< 1/week), moderate (1–6/week), and high (> 1/day) intake. The association between yogurt and milk intake and total, cardiovascular, and cancer-related mortalities was determined using the Cox proportional hazards model. Results During the follow-up period, there were 265 total deaths, 40 cardiovascular deaths and 90 cancer-related deaths. Kaplan–Meier analysis showed that the total mortality in high/moderate/low yogurt intake and moderate/low milk intake groups was lower than that in none group (log-rank, P < 0.01). In the multivariate Cox proportional hazard analysis adjusted for possible confounders, the hazard ratio (HR) for total mortality significantly decreased in high/moderate yogurt intake group (HR: 0.62, 95% confidence interval [CI]: 0.42–0.91 for high intake, HR: 0.70, 95%CI: 0.49–0.99 for moderate intake) and moderate milk intake group (HR: 0.67, 95% CI: 0.46–0.97) compared with the none yogurt and milk intake groups. A similar association was observed for cancer-related mortality, but not for cardiovascular mortality. Conclusions Our study showed that yogurt and milk intake was independently associated with a decrease in total and cancer-related mortalities in the Japanese population.

Inter-pregnancy interval and later pediatric cardiovascular health of the offspring – a population-based cohort study

2020 ◽  
pp. 1-5
Author(s):  
Majdi Imterat ◽  
Tamar Wainstock ◽  
Eyal Sheiner ◽  
Gali Pariente
Keyword(s):  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Cardiovascular Morbidity ◽  
Cox Proportional Hazards Model ◽  
Hazards Model ◽  
Kaplan Meier ◽  
Inter Pregnancy Interval

Abstract Recent evidence suggests that a long inter-pregnancy interval (IPI: time interval between live birth and estimated time of conception of subsequent pregnancy) poses a risk for adverse short-term perinatal outcome. We aimed to study the effect of short (<6 months) and long (>60 months) IPI on long-term cardiovascular morbidity of the offspring. A population-based cohort study was performed in which all singleton live births in parturients with at least one previous birth were included. Hospitalizations of the offspring up to the age of 18 years involving cardiovascular diseases and according to IPI length were evaluated. Intermediate interval, between 6 and 60 months, was considered the reference. Kaplan–Meier survival curves were used to compare the cumulative morbidity incidence between the groups. Cox proportional hazards model was used to control for confounders. During the study period, 161,793 deliveries met the inclusion criteria. Of them, 14.1% (n = 22,851) occurred in parturient following a short IPI, 78.6% (n = 127,146) following an intermediate IPI, and 7.3% (n = 11,796) following a long IPI. Total hospitalizations of the offspring, involving cardiovascular morbidity, were comparable between the groups. The Kaplan–Meier survival curves demonstrated similar cumulative incidences of cardiovascular morbidity in all groups. In a Cox proportional hazards model, short and long IPI did not appear as independent risk factors for later pediatric cardiovascular morbidity of the offspring (adjusted HR 0.97, 95% CI 0.80–1.18; adjusted HR 1.01, 95% CI 0.83–1.37, for short and long IPI, respectively). In our population, extreme IPIs do not appear to impact long-term cardiovascular hospitalizations of offspring.

scholarly journals Comorbidities and Outcome of Alcoholic and Non-Alcoholic Liver Cirrhosis in Taiwan: A Population-Based Study

2020 ◽  
Vol 17 (8) ◽  
pp. 2825
Author(s):  
Tzu-Wei Yang ◽  
Chi-Chih Wang ◽  
Ming-Chang Tsai ◽  
Yao-Tung Wang ◽  
Ming-Hseng Tseng ◽  
...  
Keyword(s):  
Liver Cirrhosis ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Survival Rates ◽  
Study Groups ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Study Cohort ◽  
Hazards Model

The prognosis of different etiologies of liver cirrhosis (LC) is not well understood. Previous studies performed on alcoholic LC-dominated cohorts have demonstrated a few conflicting results. We aimed to compare the outcome and the effect of comorbidities on survival between alcoholic and non-alcoholic LC in a viral hepatitis-dominated LC cohort. We identified newly diagnosed alcoholic and non-alcoholic LC patients, aged ≥40 years old, between 2006 and 2011, by using the Longitudinal Health Insurance Database. The hazard ratios (HRs) were calculated using the Cox proportional hazards model and the Kaplan–Meier method. A total of 472 alcoholic LC and 4313 non-alcoholic LC patients were identified in our study cohort. We found that alcoholic LC patients were predominantly male (94.7% of alcoholic LC and 62.6% of non-alcoholic LC patients were male) and younger (78.8% of alcoholic LC and 37.4% of non-alcoholic LC patients were less than 60 years old) compared with non-alcoholic LC patients. Non-alcoholic LC patients had a higher rate of concomitant comorbidities than alcoholic LC patients (79.6% vs. 68.6%, p < 0.001). LC patients with chronic kidney disease demonstrated the highest adjusted HRs of 2.762 in alcoholic LC and 1.751 in non-alcoholic LC (all p < 0.001). In contrast, LC patients with hypertension and hyperlipidemia had a decreased risk of mortality. The six-year survival rates showed no difference between both study groups (p = 0.312). In conclusion, alcoholic LC patients were younger and had lower rates of concomitant comorbidities compared with non-alcoholic LC patients. However, all-cause mortality was not different between alcoholic and non-alcoholic LC patients.

scholarly journals Risk Factors for Mortality in Chinese Patients on Continuous Ambulatory Peritoneal Dialysis

2015 ◽  
Vol 35 (2) ◽  
pp. 199-205 ◽  
Author(s):  
Fan Zhang ◽  
Hong Liu ◽  
Xiaoli Gong ◽  
Fuyou Liu ◽  
Youming Peng ◽  
...  
Keyword(s):  
Risk Factors ◽  
Peritoneal Dialysis ◽  
Continuous Ambulatory Peritoneal Dialysis ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Patient Survival ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Hazards Model ◽  
Kaplan Meier

ObjectiveThe intent of this study was to evaluate the clinical outcome and risk factors affecting mortality of the continuous ambulatory peritoneal dialysis (CAPD) patients in a single peritoneal dialysis (PD) center over a period of 10 years.Patients and methodsWe retrospectively analyzed patients on PD from June 2001 to June 2011. The clinical and biochemical data were collected from the medical records. Clinical variables included gender, age at the start of PD, smoking status, body mass index (BMI), cause of end-stage renal disease (ESRD), presence of diabetes mellitus and blood pressure. Biochemical variables included hemoglobin, urine volume, residual renal function (RRF), serum albumin, blood urea nitrogen (BUN), creatinine, total cholesterol, triglyceride, comorbidities, and outcomes. Survival curves were made by the Kaplan-Meier method. Univariate and multivariate analyses to identify mortality risk factors were performed using the Cox proportional hazard regression model.ResultsA total of 421 patients were enrolled, 269 of whom were male (63.9%). The mean age at the start of PD was 57.9 ± 14.8 years. Chronic glomerulonephritis was the most common cause of ESRD (39.4%). Estimation of patient survival by Kaplan-Meier was 92.5%, 80.2%, 74.4%, and 55.7% at 1, 3, 5, and 10 years, respectively. Patient survival was associated with age (hazard ratio [HR]: 1.641 [1.027 – 2.622], p = 0.038), cardiovascular disease (HR: 1.731 [1.08 – 2.774], p = 0.023), hypertriglyceridemia (HR: 1.782 [1.11 – 2.858], p = 0.017) in the Cox proportional hazards model analysis. Estimation of technique survival by Kaplan-Meier was 86.7%, 68.8%, 55.7%, and 37.4% at 1, 3, 5, and 10 years, respectively. In the Cox proportional hazards model analysis, age (HR: 1.672 [1.176 – 2.377], p = 0.004) and hypertriglyceridemia (HR: 1.511 [1.050 – 2.174], p = 0.026) predicted technique failure.ConclusionThe PD patients in our center exhibited comparable or even superior patient survival and technical survival rates, compared with reports from other centers in China and other countries.

Comorbidities and Myelodysplatic Syndromes.

Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 2789-2789 ◽  
Author(s):  
Kiran Naqvi ◽  
Guillermo Garcia-Manero ◽  
Sagar Sardesai ◽  
Jeong Oh ◽  
Sherry Pierce ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Median Survival ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Hazards Model ◽  
Kaplan Meier ◽  
Comorbidity Scores ◽  
Severe Comorbidity

Abstract Abstract 2789 Poster Board II-765 Background: Cancer patients often experience comorbidities that may affect their therapeutic options, prognosis, and outcome (1). Limited studies have evaluated the characteristics and impact of comorbidities in myelodysplastic syndromes (MDS). The aim of this study was to determine the effect of comorbidities on the survival of patients with MDS. Methods: We reviewed the medical records of 500 consecutive MDS patients who presented to MD Anderson Cancer Center from January 2002 to June 2004. The Adult Comorbidity Evaluation-27 (ACE-27), a validated 27-item comorbidity index for cancer patients (2), was used to assess the severity of comorbid conditions. For each patient, we obtained demographic data and specific staging information based on the International Prognostic Scoring System (IPSS). We also collected information on stem cell transplantation (SCT), mortality and survival. Kaplan-Meier methods and log-rank tests were used to assess survival. Multivariate analysis was performed using the Cox Proportional Hazards Model. Results: Of the 500 patients included in this study, 327 (65.4%) were male, and 436 (87.9%) were white; median age at presentation was 66.6 years (17.7, 93.5); mean duration of follow-up was 23.5 months (0, 88). A total of 49% of patients had IPSS intermediate-1 or lower risk. The ACE-27 comorbidity scores were as follows: none, 106 patients (21.2%); mild, 213 (42.6%); moderate, 108 (21.6%); and severe, 73 (14.6%). Three hundred and eighty one (76.2%) patients died, and 44 (8.8%) patients underwent SCT. Overall median survival using the Kaplan-Meier method was 17.6 months. Median survival according to ACE-27 scores was: 27.9 months for no comorbidity, 18.9 months for mild comorbidity, 15.2 months for moderate comorbidity, and 9.7 months for severe comorbidity. This trend reached statistical significance (p < 0.0001). The median survival by IPSS ranged from 40.9 months for patients in the low risk group versus 8.1 months for those in the high risk category (p < 0.0001). The hazards ratio obtained from the multivariate Cox Proportional Hazards Model was 1.5 and 2.0 for moderate and severe comorbidity scores when adjusted for age and IPSS (p < 0.0001). A linear trend was also observed between the severity of comorbidity and having received SCT (p = 0.001). Of the 44 patients who had SCT, 21 (47.7%) died. The median survival of patients who did not undergo stem cell transplantation ranged from 22.7 months for patients with no comorbidity to 9.3 months for patients with severe comorbidity (p = 0.0002). Conclusion: Comorbidities had a significant impact on the survival of patients with myelodysplastic syndrome. Patients with higher ACE-27 comorbidity scores had a shorter survival than those with no comorbidity, independent of their age and the IPSS risk group. Also patients with comorbid conditions received SCT less often than those without comorbidity. A comprehensive assessment of comorbidity is therefore needed to determine the prognosis in patients with MDS. References: (1) Extermann M. Measurement and impact of comorbidity in older cancer patients. Crit Rev Oncol Hematol. 2000;35:181-200. (1) Piccirillo JF, Tierney RM, Costas I, et al. Prognostic importance of comorbidity in a hospital-based cancer registry. JAMA. 2004;291:2441-47. Disclosures: No relevant conflicts of interest to declare.

Disparities in receipt of radiotherapy and survival by age, sex, and race among patients with nonmetastatic squamous cell carcinoma of the anus.

2015 ◽  
Vol 33 (3_suppl) ◽  
pp. 721-721
Author(s):  
Doug Baughman ◽  
Krishna Bilas Ghimire ◽  
Binay Kumar Shah
Keyword(s):  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Survival Rates ◽  
Relative Survival ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
P Value ◽  
Hazards Model ◽  
To Receive

721 Background: Combination chemoradiotherapy is the standard of care for treatment of non-metastatic squamous cell carcinoma of the anus (SCCA). This population-based study evaluated disparities in receipt of radiotherapy (RT) and its effect on survival in patients with localized and regional SCCA in the United States. Methods: The Surveillance, Epidemiology, and End Results (SEER) 18 database was used to identify patients with localized and regional SCCA diagnosed between 1998 and 2008. We used univariate and multivariate logistic regression to model the relationships between receipt of RT and age, sex, marital status, stage, and race. Relative survival rates were calculated and compared using two sample z-tests. A Cox proportional hazards model was used to find adjusted hazard ratios (HR). Results: A total of 3,971 patients with localized or regional SCCA as the only primary malignancy were included in the study, of which 3,278 (82.6%) received RT. After adjusting for covariates, those 65 years and older (adjusted OR 0.82, p=0.029) were less likely to receive RT. Females were more likely to receive RT compared to males (adjusted OR 1.54, p<0.001). We found no difference in receipt of RT by race. Comparisons of 1- and 5-year relative survival rates showed lower survival for blacks (p-value <0.01 at 1-year and <0.0001 at 5-years), those 65 years and older, and males. A 1-year survival disparity was found for those not receiving RT (p-value <0.0001 at 1-year), but no difference was observed at 5-years. A Cox proportional hazards model adjusting for all covariates showed greater hazard for blacks (adjusted HR 1.36, p=0.001), those not receiving RT (adjusted HR 1.23, p=0.03), patients 65 years or older, and males. Conclusions: This population based study identified older patients as less likely to receive RT and females as more likely to receive RT. Survival analysis identified blacks, males, older patients, and those not receiving RT as having lower rates of survival.

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

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.

scholarly journals Impact of Prior Cancer History on Outcomes in Thymoma

2020 ◽  
Author(s):  
Shilong Wu ◽  
Mengyang Liu ◽  
Weixue Cui ◽  
Guilin Peng ◽  
Jianxing He
Keyword(s):  
Overall Survival ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Cancer History ◽  
Treatment Methods ◽  
Hazards Model ◽  
Kaplan Meier ◽  
The Impact

Abstract Background Thymoma is an uncommon intrathoracic malignant tumor and has a long natural history. It is uncertain whether the survival of thymoma patient is affected by prior cancer history. Finding out the impact of a prior cancer history on thymoma survival has important implications for both decision making and research. Method The Surveillance, Epidemiology, and End Results (SEER) database was queried for thymoma patients diagnosed between 1975 and 2015. Kaplan-Meier methods and Cox proportional hazards model were used to analyze overall survival across a variety of stages, age, and treatment methods with a prior cancer history or not. Results A total of 3604 patients with thymoma were identified including 507 (14.1%) with a prior cancer history. The 10-year survival rate of patients with a prior cancer history (53.8%) was worse than those without a prior cancer history (40.32%, 95%CI 35.24-45.33, P < 0.0001). However, adjusted analyses showed that the impact of a prior cancer history was heterogenous across age and treatment methods. In subset analyses, prior cancer history was associated with worse survival among patients who were treated with chemoradiotherapy (HR: 2.80, 95% CI: 1.51-5.20, P = 0.001) and age ≤ 65 years (HR: 1.33, 95%CI: 1.02-1.73, P = 0.036). Conclusions Prior cancer history provides an inferior overall survival for patients with thymoma. But it does not worsen the survival in some subgroups and these thymoma patients should not be excluded from clinical trials.

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