Diagnostic performance of a 250-ml net ultrafiltration challenge to identify risk of preload-dependence in critically ill patients undergoing continuous renal replacement therapy: a randomized, cross-over trial
Biscarrat et al. Critical Care
(2025) 29:446
https://doi.org/10.1186/s13054-025-05674-3
Critical Care
Open Access
RESEARCH
Diagnostic performance of a 250-ml net
ultrafiltration challenge to identify risk
of preload-dependence in critically ill patients
undergoing continuous renal replacement
therapy: a randomized, cross-over trial
Charlotte Biscarrat1, Guillaume Deniel1,2,3, Matthieu Chivot1, Hodane Yonis1, Louis Chauvelot1, Mehdi Mezidi1,
Jean-Christophe Richard1,2,3 and Laurent Bitker1,2,3*
Abstract
Introduction During continuous renal replacement therapy (CRRT), preload-independent patients risk of becoming
preload-dependent in case of excessive net ultrafiltration (UFNET ). We aimed to evaluate the ability of a UFNET
challenge to identify de novo preload-dependence in preload-independent patients undergoing CRRT.
Materials and methods We conducted a single-center, randomized, cross-over trial, enrolling adult patients with
CRRT, calibrated continuous cardiac index (CCI) monitoring, and preload-independent at time of enrolment. The
diagnostic test consisted of 250-ml UFNET removal over 15 (fast challenge) or 30 min (slow challenge), preceded
and followed by a postural maneuver (PM) evaluating preload-dependence using CCI relative variations. Patients
underwent both types of challenges, starting with either fast or slow challenges as determined by randomization,
separated by a wash-out period of 24 h. We evaluated the performance of UFNET challenges to diagnose de novo
preload-dependence using the area under the receiver operating curve (AUROC) of the relative change in calibrated
cardiac index between before and after the challenge (∆CIUFC), based on the result of the PM performed after the
challenge (responder if positive, non-responder if negative). NCT05214729.
Results We included 20 patients, comprising 36 UFNET challenges (19 fast and 17 slow challenges). In intention-totreat (ITT), the rate of preload-dependence after the challenge was 33% (12/36, 95% confidence interval: 19% to 51%).
In ITT, the AUROC of ∆CIUFC to identify de novo preload-dependence was 0.74 (95% confidence interval: 0.58–0.88),
with the respective AUROCs of fast and slow challenges not reaching statistical significance. After exclusion of 5
challenges a posteriori identified as being preload-dependent before challenge start (modified intention-to-treat
[mITT], N = 31), the AUROC of ∆CIUFC was 0.83 (0.66–0.99), with ∆CIUFC not significantly differing between fast and slow
*Correspondence:
Laurent Bitker
Full list of author information is available at the end of the article
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Biscarrat et al. Critical Care
(2025) 29:446
Page 2 of 13
challenges. In mITT, CCI variation during the PM preceding the challenge predicted de novo preload-dependence
with an AUROC of 0.82 (0.65–0.98), at an optimal threshold of + 5%.
Conclusions A 250-ml UFNET challenge had acceptable diagnostic performance to identify preload-independent
patients becoming preload-dependent during CRRT, with no detectable difference between fast and slow challenges.
A CCI variation ≥ 5% during a PM in preload-independent patients may help identify those at risk of becoming
preload-dependent.
Keywords Renal replacement therapy, Acute circulatory failure, Preload-dependence, Cardiac output, Pulse contour
analysis, Passive leg raising, Net ultrafiltration
Introduction
During renal replacement therapy (RRT), net fluid
removal by mean of net ultrafiltration (UFNET) may help
control fluid balance and prevent fluid overload. Nevertheless, uncertainty exists about the optimal rate of
UFNET. Indeed, while a lower rate of fluid removal may
be associated with prolonged exposure to tissue edema
and organ dysfunction, a faster rate may lead to hemodynamic instability associated with renal replacement therapy (HIRRT) [1, 2]. As a consequence, HIRRT commonly
leads to discontinuation of UFNET by clinicians, fueling
the vicious circle of fluid overload [3].
However, HIRRT by hypovolemia may only occur if
UFNET rate exceeds plasma inputs (from IV medications
and interstitial transfer) in a preload-dependent patient
in whom cardiac output falls. The prevalence of HIRRT
associated with preload-dependence reaches 50% during
continuous RRT (CRRT), suggesting that some HIRRT
episodes may not be related to a state of RRT-induced
hypovolemia [4, 5]. Also, preload-dependence outside a
HIRRT episode is associated with the incidence of preload-dependent HIRRT [4].
On the other hand, patients who are preload-independent, although deemed at lower risk of presenting
with preload-dependent HIRRT, may fall into a preloaddependent state if their heart function is situated close to
the tipping point of the Frank-Starling curve [6, 7]. This
situation is not clinically detectable by passive leg raising or other dynamic evaluations which increase cardiac
preload, leaving the clinician blind to the patient’s risk of
developing preload-dependent HIRRT.
We hence hypothesized that the fast removal of a small
ultrafiltrate volume – a UFNET challenge – would stress
the cardiac preload reserve, and would help detect preload-independent patients who would fall into a preloaddependent state in case of excessive fluid removal. The
primary objective of our study was to evaluate the diagnostic performance of the UFNET challenge to identify de
novo preload-dependence appearing after the challenge
in preload-independent patients undergoing CRRT.
Methods
Study design
We conducted a single-center, randomized, open-label,
cross-over, proof-of-concept trial in a 15-bed intensive
care unit in Lyon, France. The study protocol (Additional File 1) complied with the Declaration of Helsinki,
was approved by an ethics committee (CPP Sud-Est VI
Clermont Ferrand 2021-A02939-32) and was registered
on ClinicalTrials.gov (NCT05214729). Informed consent
was obtained from all participants or their representative. The present report followed recommendations of
the CO (...truncated)