scholarly journals P5665Coagulation biomarkers and clinical outcomes in patients with chronic heart failure - The bio-shift study

2018 ◽  
Vol 39 (suppl_1) ◽  
Author(s):  
V J Van Den Berg ◽  
E Bouwens ◽  
V A W M Umans ◽  
O C Manintveld ◽  
K Caliskan ◽  
...  
2004 ◽  
Vol 10 (4) ◽  
pp. S108
Author(s):  
W.H.Wilson Tang ◽  
Holly Miller ◽  
Mary Partin ◽  
C.Martin Harris ◽  
James B. Young

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
A.-S Schuurman ◽  
A Tomer ◽  
K M Akkerhuis ◽  
J J Brugts ◽  
A A Constantinescu ◽  
...  

Abstract Background Predefined screening intervals and target levels do not account for variations in temporal patterns of biomarkers between individuals, which may hamper their potential use for therapy guidance. Conversely, a personalized screening approach with screening intervals and target levels based on the evolution of biomarkers in individual patients may further improve risk assessment and therapy guidance. Purpose We hypothesize that personalized screening intervals for N-terminal pro-B-type natriuretic peptide (NT-proBNP) measurements in patients with chronic heart failure (CHF) maximize information gain on the individual patient's disease progression, while minimizing the number of necessary measurements. We aim to compare such personalized scheduling of NT-proBNP measurements to a predefined fixed scheduling approach. Methods In 263 CHF patients from the Bio-SHiFT study, NT-proBNP was measured trimonthly according to a prespecified, fixed schedule [median: 9 (IQR: 5–10) measurements per patient].The primary composite endpoint (PE) comprised cardiac death, cardiac transplantation, left ventricular assist device implantation or heart failure hospitalization, and occurred in 70 patients (26.6%). Using joint models for time-to-event and longitudinal data, we modelled the association between repeated NT-proBNP measurements and the PE. Using the fitted joint model, for each patient at each follow-up visit, we determined the optimal time point of the next NT-proBNP measurement based on the patient's individual risk profile and the maximum information gain on the patient's prognosis as assessed by the Kullback-Leibler divergence. Personalized scheduling was compared to fixed (trimonthly) scheduling by means of a realistic simulation study, based on a replica of the study population included in the Bio-SHiFT study. In this simulation study, we stopped monitoring NT-proBNP to potentially enable appropriate timely intervention if the cumulative risk of PE exceeded an arbitrary risk threshold of 7.5% within 3-months. We compared personalized scheduling with fixed scheduling in terms of capability of identification of high-risk intervals (whether timely intervention was enabled before occurrence of PE), number of measurements needed, and costs. Results Compared to fixed scheduling, personalized scheduling saved on average 2 measurements [personalized; median: 7 (IQR: 7–8) vs. fixed; 9 (IQR: 8–10) measurements], while the start of the time-window identified for therapeutic intervention to avoid the occurrence of PE was similar in both approaches [personalized; median: 6.6 (IQR: 4.5–11.3) vs. fixed; 6.3 (IQR: 4.2–10.3) months before occurrence of PE]. Costs saved were €165 per patient per year. Figure 1 Conclusion Personalized scheduling of NT-proBNP measurements in CHF patients shows similar prognostic performance as fixed scheduling, but requires fewer NT-proBNP measurements. This may improve efficiency of natriuretic guided therapy, if the latter were to be installed. Acknowledgement/Funding Funding for this study was provided by the Jaap Schouten Foundation and Erasmus MC Efficiency Research grant


2007 ◽  
Vol 121 (3) ◽  
pp. 276-283 ◽  
Author(s):  
Wei-Hsian Yin ◽  
Jaw-Wen Chen ◽  
Mason Shing Young ◽  
Shing-Jong Lin

2005 ◽  
Vol 14 (5) ◽  
pp. 25-26 ◽  
Author(s):  
T.M. Koelling ◽  
M.L. Johnson ◽  
R.J. Cody ◽  
K.D. Aaronson

2003 ◽  
Vol 91 (2) ◽  
pp. 169-174 ◽  
Author(s):  
Wendy A Gattis ◽  
Christopher M O’Connor ◽  
Jeffrey D Leimberger ◽  
G.Michael Felker ◽  
Kirkwood F Adams ◽  
...  

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
S Jimenez ◽  
M Cainzos-Achirica ◽  
D Monterde ◽  
L Garcia-Eroles ◽  
E Vela ◽  
...  

Abstract Background Chronic Heart Failure (CHF) and its risk factors at stage A of the disease are conditions that trends to facilitate potassium (K+) derangements, for pathophysiology mechanisms and medication use than could facilitate both hyper- and hypokalamia. Studies on the associations between potassium derangements and clinical outcomes in these patient populations have yielded mixed findings, and the implications for healthcare expenditure are unknown. Purpose The objectives of our analysis was to asses the population-based associations between hyperkalemia, hypokalemia (compared to normokalemia) and all-cause death, urgent hospitalization, emergency department visits, daycare visits, and a yearly healthcare expenditure >85th percentile, in patients with chronic heart failure, chronic kidney disease, diabetes mellitus, hypertension and ischemic heart disease. Methods Population-based, longitudinal study including up to 36,269 patients from the Public Healthcare Area with at least one of those conditions. We used three linked administrative, hospital and primary care healthcare databases with exhaustive information on sociodemographics, medical diagnoses, pharmacy dispensing and laboratory data. Participants were identified and followed between 2015 and 2017, had to be ≥55 years old and have at least one serum potassium measurement recorded; and were classified as hyperkalemic, hypokalemic or normokalemic. Four analytic designs were used to evaluate prevalent and incident disease cases as well as prevalent and incident use of renin-angiotensin-aldosterone system inhibitors Results The majority of study participants remained normokalemic during the 3 months following study entry (ranging 94%–96%) and hyperkalemia was twice as frequent as hypokalemia. In all analyses, compared to normokalemic patients those with hyperkalemia had a worse crude event-free survival for all endpoints, and the worst survival was observed for hypokalemic patients [see Figure 1: prevalent case analysis; Kaplan-Meier cumulative survivor function curves for all-cause death (upper left), hospitalization (upper right), ED visits (lower left) and daycare visits (lower right)]. In multivariable-adjusted analyses, hyperkalemia was robustly and significantly associated with an increased risk of all-cause death (hazard ratios from Cox regression models ranging 1.31–1.68) and with an increased odds of a yearly healthcare expenditure >85th percentile (odds ratios 1.21–1.29). Associations were even stronger in hypokalemic patients (hazard ratios for all-cause death 1.92–2.60; odds ratios for healthcare expenditure >percentile 85th 1.81–1.85). Conclusions Experimental studies are needed to confirm whether prevention of potassium derangements reduces mortality and healthcare expenditure in patients with these chronic conditions. Until then, our findings provide further observational evidence on the potential importance of maintaining normal potassium levels in this setting. Figure 1 Funding Acknowledgement Type of funding source: Private grant(s) and/or Sponsorship. Main funding source(s): The present study was funded by an unrestricted research grant from Vifor Pharma.


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