Variable Selection via Generalized SELO-Penalized Cox Regression Models

Abstract Objective To assess the relationships between female hormonal exposures and risk of rheumatoid arthritis (RA), in a prospective cohort of French women. Methods E3N is an on-going French prospective cohort that included 98 995 women aged 40–65 years in 1990. Every 2–3 years, women completed mailed questionnaires on their lifestyles, reproductive factors, and health conditions. Cox proportional-hazards regression models were used to determine factors associated with risk of incident RA, with age as the time scale, adjusted for known risk factors of RA, and considering endogenous and exogenous hormonal factors. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated. Effect modification by smoking history was investigated. Results A total of 698 incident cases of RA were ascertained among 78 452 women. In multivariable-adjusted Cox regression models, risk of RA was increased with early age at first pregnancy (<22 vs ≥27 years; HR = 1.34; 95%CI 1.0–1.7) and menopause (≤45 vs ≥53 years; HR = 1.40; 95%CI 1.0–1.9). For early menopause, the association was of similar magnitude in ever and never smokers, although the association was statistically significant only in ever smokers (HR = 1.54; 95%CI 1.0–2.3). We found a decreased risk in nulliparous women never exposed to smoking (HR = 0.44; 95%CI 0.2–0.8). Risk of RA was inversely associated with exposure to progestogen only in perimenopause (>24 vs 0 months; multi-adjusted HR = 0.77; 95%CI 0.6–0.9). Conclusions These results suggest an effect of both endogenous and exogenous hormonal exposures on RA risk and phenotype that deserves further investigation.

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Scalable Bayesian variable selection regression models for count data

Flexible Bayesian Regression Modelling ◽

10.1016/b978-0-12-815862-3.00015-9 ◽

2020 ◽

pp. 187-219 ◽

Cited By ~ 1

Author(s):

Yinsen Miao ◽

Jeong Hwan Kook ◽

Yadong Lu ◽

Michele Guindani ◽

Marina Vannucci

Keyword(s):

Variable Selection ◽

Count Data ◽

Regression Models ◽

Bayesian Variable Selection

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Treatment Time or Convection Volume in HDF: What Drives the Reduced Mortality Risk?

Blood Purification ◽

10.1159/000430903 ◽

2015 ◽

Vol 40 (1) ◽

pp. 53-58 ◽

Cited By ~ 1

Author(s):

Camiel L.M. de Roij van Zuijdewijn ◽

Menso J. Nubé ◽

Piet M. ter Wee ◽

Peter J. Blankestijn ◽

Renée Lévesque ◽

...

Keyword(s):

Confidence Intervals ◽

Mortality Risk ◽

Survival Benefit ◽

Regression Models ◽

Cox Regression ◽

Treatment Time ◽

High Volume ◽

P Values ◽

Hazard Ratios

Background/Aims: Treatment time is associated with survival in hemodialysis (HD) patients and with convection volume in hemodiafiltration (HDF) patients. High-volume HDF is associated with improved survival. Therefore, we investigated whether this survival benefit is explained by treatment time. Methods: Participants were subdivided into four groups: HD and tertiles of convection volume in HDF. Three Cox regression models were fitted to calculate hazard ratios (HRs) for mortality of HDF subgroups versus HD: (1) crude, (2) adjusted for confounders, (3) model 2 plus mean treatment time. As the only difference between the latter models is treatment time, any change in HRs is due to this variable. Results: 114/700 analyzed individuals were treated with high-volume HDF. HRs of high-volume HDF are 0.61, 0.62 and 0.64 in the three models, respectively (p values <0.05). Confidence intervals of models 2 and 3 overlap. Conclusion: The survival benefit of high-volume HDF over HD is independent of treatment time.

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Kidney Measures with Diabetes and Hypertension on Cardiovascular Disease: The Atherosclerosis Risk in Communities Study

American Journal of Nephrology ◽

10.1159/000433450 ◽

2015 ◽

Vol 41 (4-5) ◽

pp. 409-417 ◽

Cited By ~ 6

Author(s):

Nadine Alexander ◽

Kunihiro Matsushita ◽

Yingying Sang ◽

Shoshana Ballew ◽

Bakhtawar K. Mahmoodi ◽

...

Keyword(s):

Cardiovascular Risk ◽

Regression Models ◽

Estimated Glomerular Filtration Rate ◽

Cox Regression ◽

Cardiovascular Outcomes ◽

Creatinine Ratio ◽

Atherosclerosis Risk In Communities ◽

Atherosclerosis Risk ◽

Lower Egfr

Background: Whether the association of chronic kidney disease (CKD) with cardiovascular risk differs based on diabetes mellitus (DM) and hypertension (HTN) status remains unanswered. Methods: We investigated 11,050 participants from the Atherosclerosis Risk in Communities Study (fourth examination (1996-1998)) with follow-up for cardiovascular outcomes (coronary disease, heart failure and stroke) through 2009. Using the Cox regression models, we quantified cardiovascular risk associated with estimated glomerular filtration rate (eGFR) and urinary albumin-to-creatinine ratio (ACR) in individuals with and without DM and/or HTN and assessed their interactions. Results: Individuals with DM and HTN generally had higher cardiovascular risk relative to those without at all the levels of eGFR and ACR. Cardiovascular risk increased with lower eGFR and higher ACR regardless of DM and HTN status (e.g. adjusted hazards ratio (HR) for eGFR 30-44 vs. 90-104 ml/min/1.73 m2, 2.32 (95% CI, 1.66-3.26) in non-diabetics vs. 1.83 (1.25-2.67) in diabetics and 2.45 (2.20-5.01) in non-hypertensives vs. 1.51 (1.27-1.81) in hypertensives and corresponding adjusted HR for ACR 30-299 vs. <10 mg/g, 1.70 (1.45-2.00) vs. 1.34 (1.10-1.64) and 1.42 (1.10-1.85) vs. 1.57 (1.36-1.81), respectively). Only the ACR-DM interaction reached significance, with a shallower relative risk gradient among diabetics than among non-diabetics (p = 0.02). Analysis of individual cardiovascular outcomes showed similar results. Conclusion: Although individuals with DM and HTN generally had higher cardiovascular risk relative to those without these complications, both low eGFR and high ACR were associated with cardiovascular diseases regardless of the presence or absence of DM and HTN. These findings reinforce the importance of CKD in cardiovascular outcomes.

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Risk of major chronic diseases in transport, rescue and security industries: a longitudinal register-based study

Occupational and Environmental Medicine ◽

10.1136/oemed-2021-107764 ◽

2021 ◽

pp. oemed-2021-107764

Author(s):

Kimmo Herttua ◽

Linda Juel Ahrenfeldt ◽

Tapio Paljarvi

Keyword(s):

Oral Cancer ◽

Chronic Diseases ◽

Respiratory Disease ◽

Regression Models ◽

Cox Regression ◽

Chronic Respiratory Disease ◽

Police Force ◽

Rescue Service ◽

Active Population ◽

Increased Risk

ObjectiveTo investigate the risk of hospitalisation for major chronic diseases across representative transport, rescue and security industries.MethodsWe performed a register-based study of 624 571 workers from six industries in Denmark between 2000 and 2005, followed up hospitalisation for chronic diseases up to 17 years, and compared with a 20% random sample of the economically active population.ResultsHR from the Cox regression models showed that seafarers had higher risk of lung cancer (men: 1.54, 95% CI 1.31 to 1.81; women: 1.63, 95% CI 1.13 to 2.36), and male seafarers had higher risk of diabetes (1.32, 95% CI 1.21 to 1.43) and oral cancer (1.51, 95% CI 1.21 to 1.88). Men and women in land transport had increased risk of diabetes (men: 1.68, 95% CI 1.63 to 1.73; women 1.55, 95% CI 1.40 to 1.71) and chronic respiratory disease (men: 1.21, 95% CI 1.16 to 1.25; women 1.42, 95% CI 1.32 to 1.53). Among women, a higher risk of gastrointestinal cancer was observed in aviation (1.53, 95% CI 1.23 to 1.89) and police force (1.29, 95% CI 1.01 to 1.65), oral cancer in defence forces (1.83, 95% CI 1.20 to 2.79), and chronic respiratory disease in rescue service (1.47, 95% CI 1.21 to 1.77), while men in defence forces, police force and rescue service had mainly lower risk of these chronic diseases.ConclusionsWe observed considerable health disparities from chronic diseases across transport, rescue and security industries, with workers in seafaring and land transport generally bearing the greatest relative burden.

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Impact of Assisted Peritoneal Dialysis Modality on Outcomes: A Cohort Study of the French Language Peritoneal Dialysis Registry

American Journal of Nephrology ◽

10.1159/000494664 ◽

2018 ◽

Vol 48 (6) ◽

pp. 425-433 ◽

Cited By ~ 7

Author(s):

Solène Guilloteau ◽

Thierry Lobbedez ◽

Sonia Guillouët ◽

Christian Verger ◽

Maxence Ficheux ◽

...

Keyword(s):

Peritoneal Dialysis ◽

Lower Risk ◽

Regression Models ◽

Cox Regression ◽

French Language ◽

Dialysis Modality ◽

Technique Survival ◽

Hazard Ratios ◽

Effect Of Pd ◽

Assisted Peritoneal Dialysis

Background: Patients on peritoneal dialysis (PD) can be assisted by a nurse or a family member and treated either by automated PD (APD) or continuous ambulatory PD (CAPD). The aim of this study was to evaluate the effect of PD modality and type of assistance on the risk of transfer to haemodialysis (HD) and on the peritonitis risk in assisted PD patients. Method: This was a retrospective study based on data from the French Language PD Registry. All adults starting assisted PD in France between 2006 and 2015 were included. Events of interest were transfer to HD, peritonitis and death. Cox regression models were used for statistical analysis. Results: Among the 12,144 incident patients who started PD in France during the study period, 6,167 were assisted. There were 5,060 nurse-assisted and 1,095 family-assisted PD patients. Overall, 5,171 were treated by CAPD and 996 by APD. In multivariate analysis, CAPD, compared to APD, was not associated with the risk of transfer to HD (cause specific hazard ratios [cs-HR] 0.96 [95% CI 0.84–1.09]). Patients on nurse-assisted PD had a lower risk of transfer to HD than family assisted PD patients (cs-HR 0.85 [95% CI 0.75–0.97]). Neither PD modality nor type of assistance were associated with peritonitis risk. Conclusions: In assisted PD, technique survival was not associated with PD modality. Nurse-assisted patients had a lower risk of transfer to HD than family assisted patients. Peritonitis risk was not influenced either by PD modality, or by type of assistance. Both APD and CAPD should be offered to assisted-PD patients.

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