MO517EFFECT MODIFIERS OF SERUM POTASSIUM AND MORTALITY IN THE IRISH HEALTH SYSTEM: THE NATIONAL KIDNEY DISEASE SURVEILLANCE SYSTEM (NKDSS)

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Leonard Browne ◽  
Austin Stack

Abstract Background and Aims Serum potassium (K+) exhibits a u-shaped association with mortality but uncertainty exists regarding optimal thresholds for survival and influencing factors. We examined the impact of serum K* on mortality in the Irish Health System with particular focus on kidney function and location of medical supervision. Method We utilised data from the Irish Kidney Disease Surveillance System (NKSS) to explore the association of serum K+ and mortality in a longitudinal cohort study. We identified all adult individuals (age > 18 years) who accessed health care from 2007 and 2012 in a regional health system with complete data on serum K+, associated laboratory indicators and vital status up to 31st December 2013 (n = 32,643). We randomly selected a single K+ measurement per patient with date of measurement as index date. Chronic kidney disease was defined as eGFR <60ml/min/1.73m² vs greater recorded at index date. Location of medical supervision was recorded as emergency room, inpatient location; outpatient clinic, and general practice location. The association of serum K+ was explored in categories and as a continuous variable in restricted cubic splines with mortality. Multivariable Cox regression determined hazard ratios and 95% confidence intervals with adjustment for baseline health indicators. Results Mean age was 57.1 years, 5,056 died (15.4%) with a median follow-up of 5.1 years. With adjustment, for age, sex, baseline health status, and location of medical supervision, the pattern of mortality was non-linear and u-shaped with greatest risks for patients with extreme values. Modelled as a continuous variable, the serum K +thresholds for optimal survival were from 4.1 to 5.2 mmol/L. Compared to patients without baseline CKD, the risks were attenuated for patients with CKD (p-value interaction 0.012). The associated risk thresholds were wider for CKD patients with significant increased risk above 5.8 mmol/L whereas, for those without CKD, serum K +thresholds for optimal survival were between 4.2-5.4 mmol/L. Similarly, mortality patterns were greatly attenuated for patients who were managed in the outpatient and general practice locations (p-value interaction <0.001) than the emergency room or inpatient settings (Figure 1). Conclusion Risk thresholds for optimal survival for serum K+ vary according to CKD and location of medical supervision in real-world clinical cohorts. Better understanding of these thresholds and effect modifiers are essential for inform decision making and therapeutic interventions. Funding Source Health Research Board (HRB-SDAP-2019-036), Midwest Research and Education Foundation (MKid), Vifor Pharma.

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Matthew Laird ◽  
Raihan Alheyali ◽  
Leonard Browne ◽  
Liam Plant ◽  
Cathal Walsh ◽  
...  

Abstract Background and Aims It is unclear whether targeted efforts for the treatment of chronic kidney disease (CKD) has led to a sustained reduction in mortality rates. We examined annual trends in mortality for patients with and without CKD in the Irish health system. Method We utilised data from the Irish Kidney Disease Surveillance System (IKDSS) to explore 1-year mortality rates among patients with and without CKD in the health system. The principal data sources included; regional laboratory information systems; dialysis registers; and mortality data files from the national Central Statistics Office (CSO). We created multi-annual cohorts of patients, age > 18 years with one or more serum creatinine values who received healthcare within the Irish health system from 2008 to 2012. Serum creatinine values (first test in fiscal year) were used to calculate glomerular filtration rate (eGFR) and CKD was defined as GFR < 60ml/min/1.73m. Mortality data were available from the national mortality files with vital status up to December 31st 2013. Age standardised death rates were determined for the Irish population (IRE) and the European Standard Population (ESP) (standardised to the age distribution of a standard European population in 2012. Comparisons were conducted using segmented linear regression. Results We included 351,223 adult individuals between 2008 and 2012. Age standardised mortality rates (EU) were more than 2-fold higher for patients with CKD than without, P<0.001. From 2008-2012, age-standardised mortality rates decreased significantly in patients with CKD from a peak of 47.7 to 31 per 1000 person-years, P for trend=p=0.012, and from a peak of 17.8 to 15.5 per 1000 person-years in patients without CKD, P=0.006. Mortality rates for men were significantly higher than for women in patients with and without CKD, but the pattern of improvement was similar for both sexes. These patterns were replicated when comparisons were made using Irish standard age distribution. Conclusion Mortality rates among CKD patients have declined in the Irish population from 2008 to 2012 in both men and women. The processes and interventions that have led to these reductions need further exploration. Figure 1. (a) Crude and age standardised mortality rates (b-c) of those with and without CKD in the Irish Health System between 2008-2012 .


2009 ◽  
Vol 5 (1) ◽  
pp. 152-161 ◽  
Author(s):  
Rajiv Saran ◽  
Elizabeth Hedgeman ◽  
Laura Plantinga ◽  
Nilka Rios Burrows ◽  
Brenda W. Gillespie ◽  
...  

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Conor Walsh ◽  
Leonard Browne ◽  
Austin Stack

Abstract Background and Aims Dysnatraemia is associated with increased mortality risk in the general population, but it is unclear to what extent kidney function influences this relationship. We investigated the impact of dysnatraemia on total and cardiovascular (CV) mortality while exploring the concurrent impact of chronic kidney disease. Method We utilised data from the Irish Kidney Disease Surveillance System (NKSS) to explore the association of serum sodium (Na+) (mmol/L) and mortality in a longitudinal cohort study. We identified all adult individuals (age > 18 years) who accessed health care from January 1st, 2007 and December 31st, 2013 in a regional health system with complete data on serum Na+, associated laboratory indicators and vital status up to 31st December 2013 (n = 32, 686). Patients receiving dialysis were excluded. The primary exposure was serum Na+ first recorded during the study period for each patient with a concurrent serum glucose measurement. Chronic kidney disease was defined as eGFR <60ml/min/1.73m² vs greater recorded at index date. The association of serum Na+ with all-cause (ACM) and CV mortality was explored in categories and as a continuous variable using polynomial splines. Multivariable Cox regression with competing risks determined hazard ratios (HR) and 95% confidence intervals with adjustment for baseline health indicators. Results There were 5,118 deaths (15.7%) over a median follow up of 5.5 years. In multivariable adjusted models, the association of serum Na+ with all-cause and CV mortality followed a non-linear, u-shaped pattern. For all-cause mortality, the optimal range for greatest survival was between 139-146 mmol/L [HR 1.02 (1.00-1.03) and HR 1.19 (1.02-1.38) respectively, while for CV mortality, the optimal range was much narrower at 134-143mmol/L [HR 1.16 (1.02-1.23) and HR 1.09 (1.01-1.89) respectively] (Figure 1). The impact of serum Na+ on mortality was modified by baseline kidney function (p value < 0.001 for interaction). In stratified analysis, the impact of serum Na+ on all-cause mortality was greatly attenuated among patients with GFR< 60 ml/min/m², than above. This pattern was replicated in analyses of CV mortality. Conclusion This study supports the view that hypernatraemia and hyponatraemia are better tolerated with poorer kidney function. The risk thresholds for mortality were much narrower for CV death than all-cause death suggesting that these thresholds be taken into account to inform decision making and therapeutic interventions. Funding source Health Research Board (HRB-SDAP-2019-036), Midwest Research and Education Foundation (MKid)


2021 ◽  
Vol 64 (5) ◽  
pp. 338-357
Author(s):  
Natalie Troke ◽  
Chloë Logar‐Henderson ◽  
Nathan DeBono ◽  
Mamadou Dakouo ◽  
Selena Hussain ◽  
...  

2017 ◽  
Vol 8 (2) ◽  
pp. 88-105 ◽  
Author(s):  
Gunasekaran Manogaran ◽  
Daphne Lopez

Ambient intelligence is an emerging platform that provides advances in sensors and sensor networks, pervasive computing, and artificial intelligence to capture the real time climate data. This result continuously generates several exabytes of unstructured sensor data and so it is often called big climate data. Nowadays, researchers are trying to use big climate data to monitor and predict the climate change and possible diseases. Traditional data processing techniques and tools are not capable of handling such huge amount of climate data. Hence, there is a need to develop advanced big data architecture for processing the real time climate data. The purpose of this paper is to propose a big data based surveillance system that analyzes spatial climate big data and performs continuous monitoring of correlation between climate change and Dengue. Proposed disease surveillance system has been implemented with the help of Apache Hadoop MapReduce and its supporting tools.


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