Dialysis outcomes in Australia & New Zealand

Slides:



Advertisements
Similar presentations
The analysis of survival data in nephrology. Basic concepts and methods of Cox regression Paul C. van Dijk 1-2, Kitty J. Jager 1, Aeilko H. Zwinderman.
Advertisements

UK Renal Registry 17th Annual Report Figure 5.1. Trend in one year after 90 day incident patient survival by first modality, 2003–2012 cohorts (adjusted.
ANZDATA Registry Annual Report 2013 STOCK AND FLOW CHAPTER 1.
ESRD Registry Committee, Korean Society of Nephrology*
This Power Point presentation belongs to the Danish Renal Registry, which owns the copyright. It can be freely used for non-commercial study and educational.
HAEMODIALYSIS CHAPTER 5. © ANZDATA Registry Figure 5.1 Stock and Flow of Haemodialysis Patients Australia Patients new.
UK Renal Registry 16th Annual Report Figure 8.1. Trend in 1 year after 90 day incident patient survival by first modality, 2005–2011 cohort (adjusted to.
UK Renal Registry 14th Annual Report Figure 8.1. Median haemoglobin for incident dialysis patients at start of dialysis treatment in 2010.
Key Performance Indicators, Centre Reports, and more Stephen McDonald.
© ANZDATA Registry Method and Location of Dialysis 1453 (30%) 632 (13%) 1317 (27%) 1335 (27%) Number of Patients Australia 31-Dec-96.
ANZDATA Registry Annual Report 2013 Philip Clayton CHAPTER 9 KIDNEY DONATION 2013 Annual Report - 36th Edition PERITONEAL DIALYSIS CHAPTER 6.
Why don’t indigenous dialysis patients receive transplants – waitlist or allocation? N. Khanal 1, P. Clayton 1, S. McDonald 1, M. Jose 2 1 The University.
Haemodialysis Vascular Access: Recent Trends From ANZDATA Dr Kevan Polkinghorne Monash Medical Centre ANZSN September 2007.
Blair Grace Kylie Hurst Stephen McDonald CHAPTER 2 NEW PATIENTS COMMENCING TREATMENT IN Annual Report—35th Edition ANZDATA Registry Annual Report.
Data completeness reporting Alex Hodsman, David Bull, Paul Dawson UK Renal Registry.
UK Renal Registry 10th Annual Report 2007 Fig 3.1 Incident rates in the countries of the UK:
Kevan Polkinghorne Aarti Gulyani Stephen McDonald Kylie Hurst CHAPTER 5 HAEMODIALYSIS (including home haemodialysis) 2012 Annual Report—35th Edition ANZDATA.
ANZDATA Registry Overview Dr Graeme Russ Darwin September 2001 September 2001.
UK Renal Registry 17th Annual Report Figure 1.1. RRT incidence rates in the countries of the UK 1990–2013.
Chapter 10 Cancer 2014 ANZDATA Registry 37th Annual Report Data to 31-Dec-2013 ANZDATA gratefully acknowledges the contributions of the Cancer Working.
Chapter 12 End Stage Kidney Disease among Indigenous Peoples of Australia and New Zealand 2014 ANZDATA Registry 37th Annual Report Data to 31-Dec-2013.
Survival after graft failure Dr Lynsey Webb Registrar UK Renal Registry UK Renal Registry 2011 Annual Audit Meeting.
Chapter 3 Mortality in End Stage Kidney Disease 2014 ANZDATA Registry 37th Annual Report Data to 31-Dec-2013.
© ANZDATA Registry Prevalence and Incidence End Stage Renal Failure - Australia ( ) Per Million Functioning Transplant (259) New Pts (82) Deaths.
DEATHS CHAPTER 3. © ANZDATA Registry Figure 3.1 Survival among People who Commenced Dialysis 2001—2010 (Non-Indigenous) % (95% CI) Age at Start Time Period.
STOCK AND FLOW CHAPTER 1. © ANZDATA Registry Figure 1.1 Prevalent Patients (Number Per Million Population at 31st December)
Blair Grace Kylie Hurst Stephen McDonald CHAPTER 1 STOCK AND FLOW 2012 Annual Report—35th Edition ANZDATA Registry Annual Report 2012.
END-STAGE KIDNEY DISEASE AMONG INDIGENOUS PEOPLES OF AUSTRALIA AND NEW ZEALAND CHAPTER 12.
ANZDATA Registry Annual Report 2013 Philip Clayton CHAPTER 9 KIDNEY DONATION 2013 Annual Report - 36th Edition DEATHS CHAPTER 3.
Date of download: 6/2/2016 Copyright © 2016 American Medical Association. All rights reserved. From: Similar Outcomes With Hemodialysis and Peritoneal.
Obesity in the end stage kidney disease population
Stephen P. McDonald, Graeme R. Russ  Kidney International 
- Higher SBP visit-to-visit variability (SBV) has been associated
END-STAGE KIDNEY DISEASE AMONG 2013 Annual Report - 36th Edition
2016 Annual Data Report, Vol 2, ESRD, Ch 6
ANZDATA Epidemiology Fellow
ASSOCIATION OF SOCIO-ECONOMIC POSITION WITH TECHNIQUE FAILURE AND MORTALITY IN AUSTRALIAN NON-INDIGENOUS PERITONEAL DIALYSIS PATIENTS Dr Samuel Chan Nephrology.
First-year death rates by modality figure 8
Optimization of pre-ESRD care: The key to improved dialysis outcomes
UK Renal Registry 10th Annual Report 2007
ANZDATA Registry 39th Annual Report Chapter 13: End Stage Kidney Disease in Aotearoa/New Zealand Data to 31-Dec-2015.
Mortality rates in incident ESRD patients figure 9
Summary of the 2013 ERA-EDTA Registry Annual Report
UK Renal Registry 16th Annual Report
UK Renal Registry 18th Annual Report
Clinical outcome after SVR: Veterans Affairs
CHAPTER 6 PERITONEAL DIALYSIS Fiona Brown Aarti Gulyani
2013 Annual Report - 36th Edition
CHAPTER 5 Paediatric Renal Replacement Therapy
A: Kaplan-Meier estimate of time to first LLA
CHAPTER 3 DEATHS Stephen McDonald 2012 Annual Report—35th Edition
Fig 6.1 Frequency of ischaemic heart disease in incident patients
UK Renal Registry 14th Annual Report
Stephen P. McDonald  Kidney International Supplements 
2013 Annual Report - 36th Edition
Forest plot showing the association between center-level characteristics and death-censored technique failure after adjusting for age, sex, race, body.
Stephen P. McDonald, Graeme R. Russ  Kidney International 
Update from the Haemodialysis Working Group
Associations of hemodialysis dose and session length with mortality risk in Australian and New Zealand patients  M.R. Marshall, B.G. Byrne, P.G. Kerr,
Optimization of pre-ESRD care: The key to improved dialysis outcomes
Trends in the incidence of renal failure in Australia
ANZDATA Paediatric Report
ANZDATA Peritoneal Dialysis Report
Stock and Flow of Haemodialysis Patients Australia
ANZDATA: Vascular Access
Figure Prevalence of coronary artery disease by year or
Stock and Flow of Peritoneal Dialysis Patients Australia
CHAPTER 12 END-STAGE KIDNEY DISEASE AMONG INDIGENOUS PEOPLES
Stock and Flow of Peritoneal Dialysis Patients Australia
Stock and Flow of Haemodialysis Patients Australia
Presentation transcript:

Dialysis outcomes in Australia & New Zealand Stephen McDonald ANZDATA Registry

Dialysis outcomes What is collected by ANZDATA: What is not collected: ANZSN ASM 2002 Dialysis outcomes What is collected by ANZDATA: Mortality Process indicators Urea clearance Haemoglobin What is not collected: Indicators of health & functional state Mental health Physical health Surrogate markers of cardiovascular disease (LVH)

Acceptance of New Patients by Age ANZSN ASM 2002 Acceptance of New Patients by Age Australia New Zealand New RRT rates by age group 1990-2001

Survival on dialysis – 15-64 yrs ANZSN ASM 2002 Survival on dialysis – 15-64 yrs Kaplan-Meier survival estimates, by year Survival 5 10 15 20 0.00 0.25 0.50 0.75 1.00 1965- 1970- 1975- 1980- 1985- 1990- 1995- 2000- Are mortality rates changing over time Are dialysis practices changing? Trends towards increasing URR, higher flow rates Not longer hours ?membrane flux Time (years) Survival on dialysis, 15-64 years old, at onset of RRT, censored at transplantation

Survival, 65-74 years ANZSN ASM 2002 Kaplan-Meier survival estimates, by year 1.00 0.75 Survival 0.50 1990- 1985- 1995- 0.25 1975- 1980- 1970- 0.00 5 10 Years Survival on dialysis, 65-74 years old, at onset of RRT

Proportion of CAD by age ANZSN ASM 2002 Proportion of CAD by age .8 .6 Proportion with CAD .4 .2 15- 25- 35- 45- 55- 65- 75- 85- Age (years) Proportion of new dialysis patient with definite or suspected coronary artery disease (CAD), 1995-2001

ANZSN ASM 2002 Methods All patients who began RRT in Australia or NZ since 1 October 1991 Commencement of collection of co-morbid data Periods of transplant function excluded Censored at death Cox regression Time dependent covariates for dialysis modality Co-morbidities ascertained at RRT start

Outcomes by age ANZSN ASM 2002 1.00 15- 0.75 25- 35- 0.50 45- 55- 0.25 65- 85- 0.00 75- 1 3 5 7 9 Years Kaplan Meier survival curves by age group for patients treated with dialysis who began RRT treatment in Australia or New Zealand 1 Jan 1991 - 31 Dec 2000. Periods of transplant function excluded.

Comorbid factors and outcome ANZSN ASM 2002 Comorbid factors and outcome 2.5 2 1.5 Hazard ratio 1 .5 DM1 DM2 Aust Ab Maori / PI CAD Cerebrovasc High BP Late referral Lung Male PVD PD Hazard ratios for mortality on dialysis, dialysis only, 1991-present, adjusted for age and gender

Effect of BMI on outcome ANZSN ASM 2002 Effect of BMI on outcome 2 1.5 Hazard ratio 1 <20 20-24.9 25-29.9 30-34.9 35- BMI (kg/m2) Hazard ratios for mortality by BMI at entry, dialysis only, 1991-present, adjusted for age and gender and other comorbidities.

Predicted median survival ANZSN ASM 2002 Predicted median survival 25 centile 50 centile 75 centile 15 Survival (years) 10 5 45 55 65 75 85 Age at RRT start Median [IQR] survival by age. Age modelled as fractional polynomial, adjusted to 0 comorbidities & non-indigenous male

Interactions with time ANZSN ASM 2002 Interactions with time Hazard ratio (death) Time period post RRT start 0-90 day 3-12 months 1-2 year 2-5 years 5+ years .5 1 1.5 2 2.5 Hazard ratios for late referral for mortality on dialysis, 1991-present, adjusted for age and gender and other co-morbidities

Interactions with time - 2 ANZSN ASM 2002 Interactions with time - 2 2.5 2 Hazard ratio (death) 1.5 1 0-90 day 3-12 months 1-2 year 2-5 years 5+ years Time period post RRT start Hazard ratios for coronary artery for mortality on dialysis, 1991-present, adjusted for age and gender and other comorbidities

Interactions of CAD with age ANZSN ASM 2002 Interactions of CAD with age 5 Hazard ratio 2 1 25- 35- 45- 55- 65- 75- 85- Age (years) Hazard ratios for mortality of coronary artery disease by age category, adjusted for gender, dialysis patients

Indigenous outcomes Survival ANZSN ASM 2002 Years Years 1.00 1.00 Non-indigenous 0.75 0.75 Non-indigenous Pacific Islander 0.50 Pacific Islander 0.50 Maori Survival 0.25 0.25 Aboriginal Aboriginal Maori 0.00 0.00 5 10 5 10 Years Years Survival of new ESRD patients, 1991-2001, crude (left) and adjusted to age 40 (right), censored at transplantation. PI includes TSI

Centre effect What is the aim? What is a centre? ANZSN ASM 2002 Centre effect What is the aim? making comparisons? meeting a standard? What is a centre? How do you handle transfers? What do you adjust for ? Role of dialysis dose ? Access

Crude death rates ANZSN ASM 2002 Rate (per 100) 10 20 30 40 Death rates of patients treated with dialysis, 1991-2001, by hospital of initial treatment, for centres with >20 deaths over the period.

Centre effect - 2 ANZSN ASM 2002 50 Rate estimate (per 100 per year) 20 10 5 1 Death rates of patients treated with dialysis, 1991-2001, by hospital of initial treatment, for all centres, sorted by number of new patients over that perio.

ANZSN ASM 2002 Dialysis mortality Dialysis mortality is strongly related to variables which are known at time of RRT start The influence of these varies over time Age is strongly and progressively related to outcome Adverse prognosis of indigenous groups Remains after adjustment for comorbidities

Areas of further investigation ANZSN ASM 2002 Areas of further investigation This work provides the basis for developing and validating a predictive set of equations How to incorporate factors such as dialysis dose and Hb into analyses Vary with time Cause or effect? Centre effect Planned for presentation at D & T 2003

ANZSN ASM 2002 Acknowledgements The ANZDATA Registry is a collaborative effort of the Australian / New Zealand renal community, and could not exist without the dedicated support of the renal units and the individuals therein.

And still older… ANZSN ASM 2002 Survival Years 1 3 5 0.00 0.25 0.50 0.75 1.00 1980- 1985- 1990- 1995- 2000- Kaplan-Meier survival estimates, by year Survival on dialysis, 75+ years old, at onset

Indigenous ESRD incidence ANZSN ASM 2002 Indigenous ESRD incidence New ESRD patient (Australia) by racial origin 1990-2000. For 2000, age standardised incidence rate ratio=7.8 [6.6-9.2]

Interactions with time – 3 ANZSN ASM 2002 Interactions with time – 3 Hazard ratio (death) Time period post RRT start 0-90 day 3-12 months 1-2 year 2-5 year 5+ years .5 1 1.5 2 Hazard ratios for type 2 diabetes for mortality on dialysis, 1991-present, adjusted for age and gender and other comorbidities

Interactions of CAD with age - 2 ANZSN ASM 2002 Interactions of CAD with age - 2 5 2 Hazard ratio 1 .5 25- 35- 45- 55- 65- 75- 85- Age (years) Hazard ratios for coronary artery disease by age category, adjusted for gender, all other co-morbidities and indigenous status