scholarly journals Personalized screening intervals for kidney function in patients with chronic heart failure: a modeling study

2021 ◽  
Author(s):  
Anne-Sophie Schuurman ◽  
Anirudh Tomer ◽  
K. Martijn Akkerhuis ◽  
Ewout J. Hoorn ◽  
Jasper J. Brugts ◽  
...  
Keyword(s):  
Heart Failure ◽  
Chronic Heart Failure ◽  
Information Gain ◽  
Joint Model ◽  
Left Ventricular ◽  
Individual Risk ◽  
Optimal Time ◽  
Maximum Information ◽  
Heart Failure Patients ◽  
Optimal Time Point

Abstract Background High mortality and rehospitalization rates demonstrate that improving risk assessment in heart failure patients remains challenging. Individual temporal evolution of kidney biomarkers is associated with poor clinical outcome in these patients and hence may carry the potential to move towards a personalized screening approach. Methods In 263 chronic heart failure patients included in the prospective Bio-SHiFT cohort study, glomerular and tubular biomarker measurements were serially obtained according to a pre-scheduled, fixed trimonthly scheme. The primary endpoint (PE) comprised cardiac death, cardiac transplantation, left ventricular assist device implantation or heart failure hospitalization. Personalized scheduling of glomerular and tubular biomarker measurements was compared to fixed scheduling in individual patients by means of a simulation study, based on clinical characteristics of the Bio-SHiFT study. For this purpose, repeated biomarker measurements and the PE were jointly modeled. For personalized scheduling, using this fitted joint model, we determined the optimal time point of the next measurement based on the patient’s individual risk profile as estimated by the joint model and the maximum information gain on the patient’s prognosis. We compared the schedule’s capability of enabling timely intervention before the occurrence of the PE and number of measurements needed. Results As compared to a pre-defined trimonthly scheduling approach, personalized scheduling of glomerular and tubular biomarker measurements showed similar performance with regard to prognostication, but required a median of 0.4–2.7 fewer measurements per year. Conclusion Personalized scheduling is expected to reduce the number of patient visits and healthcare costs. Thus, it may contribute to efficient monitoring of chronic heart failure patients and could provide novel opportunities for timely adaptation of treatment. Graphic abstract

scholarly journals Impact of telemedicine on the clinical outcomes and healthcare costs of patients with chronic heart failure and mid-range or preserved ejection fraction managed in a multidisciplinary chronic heart failure programme: A sub-analysis of the iCOR randomized trial

2018 ◽  
Vol 26 (1-2) ◽  
pp. 64-72 ◽  
Author(s):  
Santiago Jiménez-Marrero ◽  
Sergi Yun ◽  
Miguel Cainzos-Achirica ◽  
Cristina Enjuanes ◽  
Alberto Garay ◽  
...  
Keyword(s):  
Heart Failure ◽  
Chronic Heart Failure ◽  
Left Ventricular Ejection Fraction ◽  
Ejection Fraction ◽  
Usual Care ◽  
Left Ventricular ◽  
Ventricular Ejection ◽  
Left Ventricular Ejection ◽  
Ventricular Ejection Fraction ◽  
Heart Failure Patients

Background The efficacy of telemedicine in the management of patients with chronic heart failure and left ventricular ejection fraction ≥40% is poorly understood. The aim of our analysis was to evaluate the efficacy of a telemedicine-based intervention specifically in these patients, as compared to standard of care alone. Methods The Insuficiència Cardiaca Optimització Remota (iCOR) study was a single centre, randomised, controlled trial, designed to evaluate a telemedicine intervention added to an existing hospital/primary care multidisciplinary, integrated programme for chronic heart failure patients. 178 participants were randomised to telemedicine or usual care, and were followed for six months. For the present sub-analysis, only iCOR participants (n = 116) with left ventricular ejection fraction ≥40% were included. The primary study endpoint was the incidence of an acute non-fatal heart failure event, defined as a new episode of worsening of symptoms and signs consistent with acute heart failure requiring intravenous diuretic therapy. The healthcare-related costs in each study group were also evaluated. Results The incidence of the first occurrence of the primary endpoint was significantly lower in the telemedicine arm (22% vs 56%, p<0.001), with a hazard ratio of 0.33 comparing to the usual care arm (95% confidence interval 0.17–0.64). Telemedicine was also associated with lower mean overall chronic heart failure care-related costs compared to usual care (8163€ vs 4993€, p=0.001). The results were consistent in both left ventricular ejection fraction of 40–49% and left ventricular ejection fraction ≥50% patients. Conclusions Our results suggest that telemedicine is a promising strategy for the management of chronic heart failure patients with left ventricular ejection fraction ≥40%. These findings should be replicated in larger cohorts.

P1644Personalized screening intervals for measurement of n-terminal pro-b-type natriuretic peptide improve efficiency of prognostication in patients with chronic heart failure

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
A.-S Schuurman ◽  
A Tomer ◽  
K M Akkerhuis ◽  
J J Brugts ◽  
A A Constantinescu ◽  
...  
Keyword(s):  
Heart Failure ◽  
Chronic Heart Failure ◽  
Natriuretic Peptide ◽  
Simulation Study ◽  
Information Gain ◽  
Left Ventricular ◽  
Improve Efficiency ◽  
Leibler Divergence ◽  
Screening Intervals ◽  
Shift Study

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

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