- Research article
- Open Access
Differential impact of smoking on mortality and kidney transplantation among adult Men and Women undergoing dialysis
BMC Nephrology volume 17, Article number: 95 (2016)
The extent to which smoking contributes to adverse outcomes among men and women of all ages undergoing dialysis is uncertain. The objective of this study was to determine the differential impact of smoking on risks of mortality and kidney transplantation by age and by sex at dialysis initiation.
We conducted a population-based cohort of incident U.S dialysis patients (n = 1, 220, 000) from 1995–2010. Age- and sex-specific mortality and kidney transplantation rates were determined for patients with and without a history of cardiovascular disease. Multivariable Cox regression evaluated relative hazard ratios (HR) for death and kidney transplantation at 2 years stratified by atherosclerotic condition, smoking status and age. Analyses were adjusted for demographic characteristics, non-cardiovascular conditions, laboratory variables, socioeconomic and lifestyle factors.
The average age was 62.8 (±15) years old, 54 % were male, and the majority was white. During 2-year follow-up, 40.5 % died and 5.7 % were transplanted. Age- and sex-specific mortality rates were significantly higher while transplantation rates were significantly lower for smokers with atherosclerotic conditions than non-smokers (P < 0.01). The adjusted mortality hazards were significantly higher for smokers with pre-existing coronary disease (HR 1.15, 95 % CI (1.11–1.18), stroke (HR 1.21, 1.16–1.27) and peripheral vascular disease (HR = 1.21, 1.17–1.25) compared to non-smokers without these conditions (HR 1.00, referent group). The magnitude of effect was greatest for younger patients than older patients. Contrastingly, the adjusted risks of kidney transplantation were significantly lower for smokers with coronary disease: (HR 0.60, 0.52–0.69), stroke; (HR 0.47, 0.37–0.60), and peripheral arterial disease (HR 0.55, 0.46–0.66) respectively compared to non-smokers without these conditions.
We provide compelling evidence that smoking is associated with adverse clinical outcomes and reduced lifespans among dialysis patients of all ages and sexes. The adverse impact is greatest for younger men and women.
A diagnosis of end-stage kidney disease (ESKD) is associated with reduced life expectancy with mortality rates of 20 % at 1-year and a 5-year survival of 30 % in US patients . Atherosclerotic cardiovascular disease is a major contributor to mortality and accounts for over 60 % of all–causes of death . The prevalence of coronary disease, stroke and peripheral arterial disease is high at dialysis initiation and each condition contributes independently to total and cardiovascular mortality [2–8]. The extent to which these conditions contribute to elevated death risk is determined by the effectiveness of cardiovascular treatment strategies and the degree to which existing atherosclerotic risk factors are controlled [7, 8, 9]. Despite these facts, it is surprising that only few studies exist that have addressed the clinical significance of smoking, an established modifiable risk factor, on clinical outcomes among patients with ESKD, [10–15]. The evidence to date would suggest that smoking among patients who require dialysis is associated with accelerated atherosclerosis and increased mortality. Furthermore, patients who smoke prior to kidney transplantation experience higher rates of graft loss, cardiovascular events and death [16–20].
Smoking is a well-established cause of excess mortality in the general population [21, 22]. It is a highly addictive behavior and remains the greatest risk factor for atherosclerotic disease in the developed world . The extent to which smoking contributes to excess mortality in men and in women on dialysis with and without pre-existing atherosclerotic disease has not been fully explored. It is unclear for example whether continued smoking at dialysis initiation exerts greater impact on individuals with pre-existing coronary disease, peripheral vascular disease and stroke compared to patients without these conditions. It is equally uncertain whether and to what extent smoking alters the risk of receiving a kidney transplant among patients with pre-existing atherosclerotic conditions. Finally, there are few studies to our knowledge that have examined in detail the impact of smoking across age and sex groups. A better understanding of the hazards of smoking among these high-risk patients would help inform health policy and lend support for more aggressive smoking intervention strategies prior to and after the onset of renal replacement therapy.
The aim of this study was to 1) explore the relative contribution of smoking with mortality among new dialysis patients with and without atherosclerotic cardiovascular disease, and 2) to examine the association of smoking with likelihood of kidney transplantation taking into consideration differences in demographic, comorbid characteristics and 3) to determine whether associations with these outcomes differed between men and women and across representative age groups.
Our hypotheses were tested in a historical prospective cohort of all incident dialysis patients from May 1995 and December 2008 using data from the U.S. Renal Data System . This registry collects information on all patients who undergo dialysis or kidney transplantation in the United States. Data on demographic details, comorbid conditions, lifestyle factors, laboratory values and dates of dialysis initiation were captured on the Center for Medicare and Medicaid Services (CMS) Medical Evidence Form, which is completed for all patients at dialysis initiation . Smoking status was recorded as current tobacco use at dialysis initiation. The following variables were included for our analyses: age, gender, race, the presence or absence of coronary artery disease, peripheral arterial disease, stroke, diabetes, hypertension, congestive heart failure, chronic lung disease, malignancy, alcohol use, drug dependence, inability to ambulate and transfer independently, current employment status, and pre-dialysis use of erythropoietin. Laboratory data included serum creatinine measured at or prior to dialysis initiation and serum albumin. Body mass index (BMI) was estimated from recorded weight and height measurements and residual renal function at dialysis initiation was estimated from estimated glomerular filtration rate (eGFR) using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) .
An observational cohort was assembled using the standard analysis files (SAF) of the US Renal Data System. The Medical Evidence File (SAF.Medevid, n =1,753,496), Mortality file (SAF.Patients, n = 2,377,166), and the Treatment history file (SAF.Rxhist90, n = 13,038,727) were merged by unique patient identity number. Patients were excluded if; there was unknown data on race, sex, cause of ESKD; date of first treatment occurred before May 1995; medical evidence forms were completed prior to 5/1/1995 or after 12/31/2010, and if age < 18 and > 100 years and leaving a sample of 1,445,980 patients. In addition, we further restricted the sample to the period 5/1/1995- 12/31/2008 to ensure a minimum of 2 years follow-up on all participants leaving 1,220, 000 patients in the final study cohort.
The prevalence and distribution of coronary disease, peripheral arterial disease and stroke, by smoking status was compared for the entire incident population. Comparisons between groups were conducted using the chi-square and t-tests. Multivariate logistic regression explored the independent relationships of demographic, clinical, laboratory, lifestyle variables and elements of pre-dialysis care with current smoking status and associations were represented by adjusted odds-ratios (AOR) and 95 % confidence intervals (CI).
Two-year mortality rates were calculated for subjects with and without each atherosclerotic condition stratified by smoking status. Poisson regression compared mortality rates while Cox regression modeled survival times for each condition stratified by smoking status. The study start date was defined as the date of first regular dialysis and patients were followed until the earliest of death, kidney transplantation, loss to follow-up, end of 2 years, or December 2010. Unadjusted and adjusted hazard ratios (HR) were calculated and models of increased complexity were constructed to explore the conjoint associations of each condition and smoking status with mortality. In the final model, we adjusted for a comprehensive set of clinical, laboratory, lifestyle, functional, and pre-dialysis factors. Interactions between smoking and each atherosclerotic condition were tested for in the multivariable Cox model with a P-value <0.01 determined as significant. In addition, we specifically tested for effect modification of age on the association of smoking status with each primary outcome. Stratum-specific hazards ratios were determined for each subgroup for significant interactions. The proportionality of the Cox model was tested by assessing Shoenfield residuals and time-covariate interactions. Finally, all analyses were repeated with date of first kidney transplant as the major outcome and death as a censoring variable. Statistical analysis was performed using SAS statistical software (version 9.3, SAS institute, Cary, NC, USA).
The study cohort included 1, 220, 000 individuals who commenced dialysis between May 1995 and December 2008 and followed until December 2010. The mean age of subjects was 62.7 years, 54 % were male, and the majority was white. Subjects with atherosclerotic conditions were on average younger, male, black, diabetic, had higher prevalence of chronic lung disease, drug and alcohol use, and a higher percentage of patients reporting difficulty with walking and transferring independently (Tables 1 and 2). Younger age, non –white race, most cardiovascular conditions, drug and alcohol dependence were significantly associated with smoking at dialysis initiation (Additional file 1: Table S1). Patients age 18 to 40 years and 50 to 60 years were between 8–11 times more likely to smoke compared to those age > 80 years. Drug and alcohol dependence were also significantly associated with smoking while employment was inversely related. The model had good discrimination with a C-statistic of 78 %.
Death rates among patients with atherosclerotic disease at dialysis initiation by smoking status
The overall mortality at 2 years was significantly higher in smokers with pre-existing atherosclerotic conditions than non-smokers. Age-specific mortality rates for coronary disease, stroke and peripheral arterial disease were significantly higher for smokers than non-smokers and this pattern was consistent for men and women (Additional file 2: Figure S1a-c, Additional file 3: Figure S2a-c). The conjoint associations of coronary disease and smoking status with mortality are illustrated in Table 3. The interaction between smoking and coronary disease with 2-year mortality was significant (P <0.01). Compared to non-smokers without coronary disease (referent HR 1.00), the demographic-adjusted HR for death was significantly higher for smokers without disease HR 1.26 (1.24–1.28) and greatest for smokers with coronary disease HR 1.50 (1.47–1.53). In the fully adjusted model, patients with coronary disease who continued to smoke experienced the greatest mortality risks HR 1.14 (1.10–1.17). On further examination, we found that the interaction between coronary disease and smoking with mortality was further modified by age and this was confirmed when a 3-way interaction term with age was included in the model. The HR of smoking on mortality was significantly greater for younger than older patients (Fig. 1), and the magnitude of the effect increased progressively for younger patients.
For stroke patients, the mortality pattern was similar to those with coronary disease (P < 0.01 for the interaction). Mortality risks were significantly higher for stroke patients who continued to smoke compared to those who did not with adjustment for demographic characteristics [HR 1.53 (1.49–1.58) versus HR 1.32 (1.31–1.33)] versus the referent category (HR = 1.00). The association was attenuated but remained significant in the fully adjusted model. Similarly, the relationship of smoking status with mortality among stroke patients also varied according to age (Fig. 2) with the greatest hazards of death present for younger patients. For patients with peripheral arterial disease, the pattern of association was similar to those described above although the interaction term was not significant (Fig. 3).
Transplant rates among patients with atherosclerotic disease at dialysis initiation by smoking status
Age-specific transplant rates for coronary disease, stroke and peripheral vascular diseases were significantly lower for patients who smoked than those who did not and this pattern was consistent for men and women (Additional file 4: Figure S3a-3c, Additional file 5: Figure S4a-4c). For patients with coronary disease, transplant rates were significantly lower for younger patients who smoked than those who did not. For example among men age 20–40, transplantation rates were 45 per 1000 person-years for smokers versus 88 per 1000 person years for non-smokers. With advancing age, this disparity narrowed as overall rates between groups decreased significantly.
The associations of coronary disease with transplantation for smokers and non-smokers are shown in Table 4. Compared to the referent (non-smokers without coronary disease), the demographic adjusted-HR for transplantation was lowest among patients with coronary disease who continued to smoke, HR 0.36 (0.33–0.40). In the fully adjusted model, patients with coronary disease who continued to smoke experienced the lowest risk of transplantation HR 0.61 (0.53–0.69). The risk associations for patients with stroke or peripheral vascular disease according to smoking status followed a similar pattern. For stroke patients, transplantation risks were significantly poorer among those who continued to smoke compared to those who did not adjusting for demographic factors HR 0.50 (0.40-0.63) versus the referent category. Similarly, for patients with peripheral arterial disease, this pattern of association was virtually identical HR 0.57 (0.48–0.67).
In this national study, we report associations of smoking with higher rates of death and lower rates of kidney transplantation in a contemporary cohort of dialysis patients. Smoking at dialysis initiation was associated with excess mortality for both men and women with and without pre-existing cardiovascular disease. Although these risks were present for patients of all ages, they were greatest among younger patients who started dialysis and continued into old age. Although continued smoking was associated with several known mortality predictors, adjustment for these factors did not abolish the risk. Smoking was equally detrimental to kidney transplantation among men and women with atherosclerotic cardiovascular disease. These findings demonstrate that smoking remains a substantial, yet modifiable, contributor to overall poor outcomes for men and women of all ages at dialysis initiation both directly from high death rates and indirectly from low rates of kidney transplantation.
The present study sheds new light on the mortality risks of continued smoking among those with and without atherosclerotic disease at dialysis initiation. These risks were substantial such that continued smoking conferred on average an additional 25 % higher death risk for patients with stroke, coronary disease or peripheral arterial disease. The following observations are noteworthy and highlight the importance of smoking as a major mortality risk factor in dialysis cohorts. First, smoking increased the risk of death for all patients with newly diagnosed ESKD regardless of disease status. Second, the highest risk groups in each category were those patients who had known coronary disease, stroke and peripheral arterial disease and who continued to smoke. Third, the pattern of risk was similar for men and women but was greatest for younger dialysis patients and continued right into old age without exception. These findings suggest that patients with atherosclerotic disease and who continue to smoke following dialysis experience a greatly magnified risk of death beyond the risk that associated with dialysis and co-existing comorbidity.
What is striking from this analysis is the extent to which smoking increased mortality risks across all representative age and sex groups, an observation which has not been previously demonstrated . From the youngest to the oldest patients, in men and in women, mortality rates were significantly higher in smokers than non-smokers and the pattern was consistent for each major condition. The negative impact of smoking on mortality was present in young adults age 18–40, and continued right into older age > 70 years without exception. Our analysis uncovered a very strong age effect in that the mortality impact of smoking was greatest among younger patients than older patients. Although this is not surprising as younger patients are less likely to have competing mortality risks compared with older patients, it nevertheless reinforces the concept that smoking remains a substantial modifiable factor among young patients who reach ESKD. Equally important, the elevated mortality associated with smoking was carried into old age and the magnitude of the risk was similar to other established mortality predictors including malnutrition and chronic lung disease. These findings would suggest that smoking cessation programs should be pursued for all smokers, irrespective of age, who approach ESKD.
A key objective of this study was to define the association of smoking with hazards of kidney transplantation. In this analysis, we provide evidence that smoking was associated with lower likelihood of transplantation but disproportionately more so for those with atherosclerotic conditions. Smoking may reduce the likelihood of kidney transplantation either due to worsening of existing comorbidity or due to the development of de-novo smoking-related comorbidity while on dialysis. In support, we found that smokers at dialysis initiation were far more likely to have several comorbid medical conditions and adverse lifestyle profiles. Our findings extend the observations of Sandhu et al. who found that smoking was associated with reduced rates of kidney transplantation . Not only did we confirm their observations, we provide further evidence that the negative impact of smoking is substantial, worse among those with atherosclerotic disease, and extends to almost all demographic groups and did not abate following multivariable adjustment. The impact of smoking on kidney transplant rates among young adult smokers with atherosclerotic disease is noteworthy and concerning given that young patients are generally considered to have the greatest opportunity of receiving a kidney transplant. For example, the rates of kidney transplantation among young men with coronary disease were reduced from 88 to 45 per 1000 person-years of follow up and similar patterns were observed for men with stroke and peripheral arterial disease. These data provide further compelling evidence that smoking is associated with reduced kidney transplantation rates among those who may benefit most.
There are limited studies in the literature that have explored the relationship of smoking with clinical outcomes among incident dialysis cohorts. While, previous studies have demonstrated that smoking is associated with adverse clinical outcomes, most of these have considered smoking as an adjustment variable rather than the primary exposure [10–15]. Furthermore, to our knowledge, only a single published study has explored risks of smoking among dialysis patients with pre-existing atherosclerotic disease .
The current body of evidence would suggest that tobacco use is an independent predictor of all-cause and infection-related mortality [11, 13–15] and de-novo vascular disease . However, it has been unclear until now the extent to which smoking contributes to death and transplantation in men and in women with atherosclerotic disease and across different age categories. Defining the magnitude and extent of these risks provides further compelling evidence to physicians, professional bodies and to policy makers that smoking is detrimental to all patients following dialysis initiation.
This observational study is not without limitations. The classification of smoker status was based on the Medical Evidence record at dialysis initiation, which may underreport this behavior . Misclassification bias would tend to underestimate the true magnitude of exposure-outcome associations. Furthermore, our analysis did not capture the number of cigarettes smoked or pack-years and consequently we were unable to assess the duration of exposure or a gradient effect. We submit, however, that the present study is no substitute for well-designed prospective studies that could accurately confirm smoking status, and categorize the duration and pack years. We also recognize the limitations of observational studies in identifying cause and effect associations. Despite these limitations, this study had several strengths that are worthy of mention. Its large sample size and the representativeness of the US dialysis population allow excellent generalizability to all age and sex subgroups. The US registry captured information on a large number of demographic, clinical, laboratory and lifestyle characteristics, which facilitated a comprehensive adjustment for confounding as well as the opportunity to explore effect sizes in men and in women and cross all age groups.
The present study highlights the detrimental effect of smoking on the risk of death and kidney transplantation among new patients with and without pre-existing atherosclerotic conditions. Smoking contributed significantly to higher death rates and lower rates of kidney transplantation for men and women of all ages. These risks were substantial, greatest for younger patients, and largely independent of known mortality predictors. Although, it might be expected that smokers would do worse, the magnitude of the impact was far greater than we anticipated especially among younger patients. This study highlights the need for greater recognition of smoking as a mortality risk factor and risk amplifier for adverse outcomes for patients who require dialysis. Our study reaffirms a key message for all healthcare providers that smoking cessation strategies should be relentlessly pursued in all patients across the spectrum of CKD including those who reach end-stage kidney disease.
95 % CI, 95 % confidence intervals; AOR, Adjusted odds ratio; CKD-EPI, Chronic Kidney Disease Epidemiology Collaboration; CMS, Center for Medicare and Medicaid Services; eGFR, Glomerular filtration rate; ESKD, End-stage kidney disease; HR, Hazard ratio; Native Am, Native American/Alaskan Native; SAF, Standard analysis files; USRDS, United States Renal Data System.
US Renal DS: USRDS 2010 annual data report: Atlas of chronic kidney disease and end-stage renal disease in the United States (2010)
Stack AG, Bloembergen WE. Prevalence and clinical correlates of coronary disease among new dialysis patients in the United States: a cross sectional study. J Am Soc Nephrol. 2001;12:1516–23.
Stack AG, Bloembergen WE. A cross-sectional study of the prevalence and clinical correlates of congestive heart failure among Incident US dialysis patients. Am J Kidney Dis. 2001;38:992–1000.
O'Hare AM, Hsu CY, Bacchetti P, Johansen KL. Peripheral vascular disease risk factors among patients undergoing hemodialysis. J Am Soc Nephrol. 2002;13:497–503.
Rajagopalan S, Dellegrottaglie S, Furniss AL, Gillespie BW, Satayathum S, Lameire N, Saito A, Akiba T, Jadoul M, Ginsberg N, Keen M, Port FK, Mukherjee D, Saran R. Peripheral arterial disease in patients with end-stage renal disease: observations from the Dialysis Outcomes and Practice Patterns Study (DOPPS). Circulation. 2006;114:1914–22.
Stack AG, Molony DA, Rahman N, Dosekun A, Murthy BVR. Impact of dialysis modality on survival of new ESRD patients with congestive heart failure in the United States. Kidney Int. 2003;64:1071–9.
Sozio SM, Armstrong PA, Coresh J, Jaar BG, Fink NE, Plantinga LC, Powe NR, Parekh RS. Cerebrovascular disease incidence, characteristics, and outcomes in patients initiating dialysis: The choices for healthy outcomes in caring for ESRD (CHOICE) study. Am J Kidney Dis. 2009;54:468–77.
National Kidney Foundation. K/DOQI Clinical Practice Guidelines for Cardiovascular Disease in Dialysis Patients. Am J Kidney Dis. 2005;45:16–153.
Kestenbaum B, Gillen DL, Sherrard DJ, Seliger S, Ball A, Stehman-Breen C. Calcium channel blocker use and mortality among patients with end-stage renal disease. Kidney Int. 2002;61:2157–64.
Foley RN, Herzog CA, Collins AJ. Smoking and cardiovascular outcomes in dialysis patients: the United States Renal Data System Wave 2. Kidney Int. 2003;63:1462–7.
Plantinga LC, Fink NE, Levin NW, Jaar BG, Coresh J, Levey AS, Klag MJ, LC PNRl, Fink NE, Levin NW, et al. Early, Intermediate, and Long-Term Risk Factors for Mortality in Incident Dialysis Patients: The Choices for Healthy Outcomes in Caring for ESRD (CHOICE) Study. Am J Kidney Dis. 2007;49:831–40.
Kent BD, Woodman A, Elhadi E, Mutwali A, Nguyen H, Stack AG. The impact of chronic obstructive pulmonary disease on mortality and kidney transplantation in end-stage kidney disease. Am J Nephrol. 2012;36:287–95.
Liebman SE, Lamontagne SP, Huang LS, Messing S, Bushinsky DA. Smoking in dialysis patients: a systematic review and meta-analysis of mortality and cardiovascular morbidity. Am J Kidney Dis. 2011;58:257–65.
Wagner M, Ansell D, Kent DM, Griffith JL, Naimark D, Wanner C, Tangri N. Predicting mortality in incident dialysis patients: an analysis of the United Kingdom Renal Registry. Am J Kidney Dis. 2011;57:894–902.
Mc Causland FR, Brunelli SM, Waikar SS. Association of smoking with cardiovascular and infection-related morbidity and mortality in chronic hemodialysis. Clin J Am Soc Nephrol. 2012;7:1827–35.
Gombos P, Langer RM, Korbely R, Varga M, Kaposi A, Dinya E, Müller V. Smoking following renal transplantation in Hungary and its possible deleterious effect on renal graft function. Transplant Proc. 2010;42:2357.
Nogueira JM, Haririan A, Jacobs SC, Cooper M, Weir MR. Cigarette smoking, kidney function, and mortality after live donor kidney transplant. Am J Kidney Dis. 2010;55:907–15.
Cosio FG, Falkenhain ME, Pesavento TE, Yim S, Alamir A, Henry ML, Ferguson RM. Patient survival after renal transplantation: II. The impact of smoking. Clin Transplant. 1999;13:336–41.
Kasiske BL, Klinger D. Cigarette smoking in renal transplant recipients. J Am Soc Nephrol. 2000;11:753–9.
Hurst FP, Altieri M, Patel PP, Jindal TR, Guy SR, Sidawy AN, Agodoa LY, Abbott. Effect of smoking on kidney transplant outcomes: analysis of the United States renal data system. Transplantation. 2011;92:1101–7.
U.S. Department of Health and Human Services. The Health Consequences of Smoking: A Report of the Surgeon General. Atlanta: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health; 2004 [accessed 2014 Feb 21].
Centers for Disease Control and Prevention. Annual Smoking-Attributable Mortality, Years of Potential Life Lost, and Productivity Losses—United States, 2000–2004. Morb Mortal Wkly Rep. 2008;57(45):1226–8 [accessed 2014 Feb 21].
U.S. Department of Health and Human Services. Reducing the Health Consequences of Smoking: 25 Years of Progress. A Report of the Surgeon General. Rockville (MD): U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health; 1989 [accessed 2014 Feb 21].
U.S. Renal Data System. Patient characteristics at the start of ESRD: data from the HCFA Medical Evidence Form. Am J Kidney Dis. 1999;34:S63–73.
Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro 3rd AF, Feldman HI, Kusek JW, Eggers P, Van Lente F, Greene T, Coresh J. A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009;150:604–12.
Sandhu GS, Khattak M, Woodward RS, Hanto DW, Pavlakis M, Dimitri N, Goldfarb-Rumyantzev AS. Impact of substance abuse on access to renal transplantation. Transplantation. 2011;91:86–93.
Longenecker JC, Coresh J, Klag MJ, Levey AS, Martin AA, Fink NE, Powe NR. Validation of comorbid conditions on the end-stage renal disease medical evidence report: the CHOICE study. Choices for Healthy Outcomes in Caring for ESRD. J Am Soc Nephrol. 2000;11(3):520–9.
Dr. Stack had full access to all of the data in the study and takes responsibility for the integrity of the data and analysis. The results presented in this paper have not been published previously in whole or part, except in abstract format. A portion of this work was presented at the 50th European Renal Association Congress in Istanbul, Turkey, May 2013 and the Annual Scientific Meeting of the American Society of Nephrology, Atlanta, Georgia, U.S.A, in November 2013. The data reported here have been supplied by the United States Renal Data System (USRDS). The interpretation and reporting of these data are the responsibility of the authors and in no way should be seen as the official policy or interpretation of the U.S. Government.
Dr. Stack was supported by a bursary from the Irish Heart Foundation. Ms. Darya Yermak was supported by a Summer Student Scholarship from the Health Research Board (HRB).
Availability of data and materials
The data reported here have been supplied by the United States Renal Data System (USRDS). The data is not publicly available for sharing. The data supporting our findings is present within the current manuscript and associated supplementary material.
AGS conceived the study and had a major role in data acquisition, analysis, interpretation and manuscript production. The authors DY, DGR, JPF, ME, WM, LFC, SRW and CJC contributed intellectually to data interpretation and manuscript review. JPF was the principal statistician for data analysis. All authors approved the final version of the paper for publication.
The authors declare that they have no competing interests.
Ethics approval and consent to participate
The study was approved by the Ethics Committee at University Hospital Limerick.
Factors associated with the presence of Smoking at dialysis onset among new Dialysis Patients1. Multivariable analyses of factors associated with smoking at dialysis initiation. Model included demographic, clinical, biochemical, lifestyle, employment and functional status indicators measured at dialysis onset. C-statistic 78 %, 2 95 % confidence intervals. (DOC 59 kb)
Age-specific mortality rates for Coronary disease, Peripheral Arterial Disease and Stroke for Men by smoking status. P–value for differences between smokers and non-smokers **P < 0.01, *P < 0.05. (ZIP 665 kb)
Age-specific mortality rates for Coronary disease, Peripheral Arterial Disease and Stroke for Women by smoking status. P–value for differences between smokers and non-smokers **P < 0.01, *P < 0.05. (ZIP 642 kb)
Age-specific transplantation rates for Coronary disease, Peripheral Arterial Disease and Stroke for Men by smoking status. P–value for differences between smokers and non-smokers **P < 0.01, *P < 0.05. (ZIP 586 kb)
Age-specific transplantation rates for Coronary disease, Peripheral Arterial Disease and Stroke for Women by smoking status. P–value for differences between smokers and non-smokers **P < 0.01, *P < 0.05. (ZIP 582 kb)
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Stack, A.G., Yermak, D., Roche, D.G. et al. Differential impact of smoking on mortality and kidney transplantation among adult Men and Women undergoing dialysis. BMC Nephrol 17, 95 (2016). https://doi.org/10.1186/s12882-016-0311-x
- End-stage kidney disease