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Not yet recruitingNCT07905963VLMM-MCUpdated Oct 30, 2026

Bioimpedance and Multiparametric Ultrasound-Guided Fluid Management After Kidney Transplantation

An interventional study of Multiparametric assessment and Structured usual care in Kidney Transplantation, Delayed Graft Function and Fluid Overload, sponsored by Hospital Universitario Ramon y Cajal. Not yet recruiting. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-10-30.

Sponsored by Hospital Universitario Ramon y Cajal · Not applicable, Interventional, and Treatment

Updated Oct 30, 2026Newly registeredGo to Updates ↓
Phase
Not applicable
Study type
Interventional
Enrollment
650
Allocation
Randomized
Ages
18 Years and older
Sex
All
01

Study summary

After a kidney transplant, the amount of fluid in the body must be carefully balanced. Too much fluid can accumulate in the lungs, the tissues and the new kidney itself and may delay its recovery; too little fluid can also damage it. In current practice, doctors judge fluid status mainly by physical examination, body weight and urine output, which are imprecise and often late signs.

Two painless bedside tests can measure fluid status more accurately: bioimpedance, which estimates excess body water through skin electrodes, and ultrasound of the lungs, the large abdominal veins and the transplanted kidney. In a previous study by our group, these tests detected fluid overload that physical examination missed. Whether using their results to guide treatment actually improves the outcome of the transplant is unknown.

This trial will compare two ways of managing fluids during the first month after transplantation: one guided by these tests and a treatment algorithm, and one based on usual clinical assessment. The aim is to find out whether test-guided management improves survival, reduces the need for dialysis in the first week and leads to better kidney function at one month.

Read the detailed description

RATIONALE Fluid management after kidney transplantation is a two-sided problem. The newly implanted graft is an encapsulated, denervated organ with interrupted lymphatic drainage and endothelial injury from ischaemia-reperfusion. Venous hypertension and interstitial expansion raise intracapsular pressure, reduce the net filtration gradient and peritubular capillary flow, and may prolong recovery from acute tubular necrosis. At the same time, the post-ischaemic graft has lost autoregulation, so its perfusion becomes pressure-passive and intravascular depletion is equally harmful. A useful monitoring strategy must therefore detect both overload and depletion, and must distinguish between the compartments involved.

Bioimpedance quantifies extracellular overhydration, the venous excess ultrasound score (VExUS) grades systemic venous congestion, and lung ultrasound detects extravascular lung water. In this trial, the intrarenal component of VExUS is obtained from the graft itself, and graft venous pulsatility is added as a confirmatory marker of congestion.

PILOT DATA

A prospective single-centre cohort of 80 kidney transplant recipients (Hospital Universitario Ramón y Cajal, 2023-2024) showed that:

  • On day 1, bioimpedance identified overhydration in 80% of patients, whereas physical examination and VExUS classified most of them as non-congested. Extracellular overload frequently coexisted with preserved central venous haemodynamics, so the methods are complementary rather than interchangeable.
  • Graft venous pulsatility of 30% or more was highly specific for VExUS-defined congestion (specificity 88%) but insensitive (sensitivity 42%).
  • Ultrasound information prompted a change in management in 64% of patients on day 1, mostly a reduction in intravenous fluids, without a predefined algorithm.
  • No method discriminated delayed graft function. Among deceased-donor recipients, dialysis-defined delayed graft function occurred in 17% and functional delayed graft function in 44%; half of early dialysis sessions were indicated for hyperkalaemia and did not reflect the severity of graft injury.

The limitations of the pilot (single centre, a single operator for most examinations, no treatment algorithm, post hoc exclusion of patients with severe outcomes and no concurrent control group) determine the requirements of the present design.

DESIGN RATIONALE Because the intervention is a strategy rather than a test, the trial randomises only the disclosure of assessment results and their translation into a treatment algorithm. Keeping the assessment schedule identical in both arms equalises surveillance intensity, removes the surveillance bias of the pilot study, allows a paired diagnostic comparison with physical examination in every participant and makes contamination of the control arm measurable. Individual randomisation was preferred to cluster randomisation because the small number of centres would make a cluster design inefficient and unstable; contamination is accepted, mitigated (recommendations are delivered only by the ultrasound team) and accounted for in the sample size. The treatment algorithm will be finalised by Delphi consensus among the participating centres and frozen before the first participant is enrolled.

The hierarchical primary endpoint integrates survival, early need for dialysis and graft function, and handles death and graft loss as outcomes rather than as missing data, avoiding the survivorship bias of the pilot study. A single dialysis session for isolated hyperkalaemia in the first 24 hours is excluded from the dialysis level because, in the pilot data, it reflected potassium management rather than graft injury.

MEASUREMENT QUALITY Operators are certified against a central imaging core laboratory before enrolment. Two blinded central readers from different centres read all VExUS and graft venous Doppler examinations and a random 20% of lung ultrasound examinations; the local reading guides management and the central reading is used for analysis. A reliability substudy separates acquisition and interpretation variability, with weighted kappa, Gwet AC1/AC2, intraclass correlation, Bland-Altman analysis and minimal detectable change. Operator drift is monitored with CUSUM charts, with recertification every 6 months.

SAMPLE SIZE The sample size was estimated by Monte Carlo simulation (5,000 iterations) bootstrapping individual data from the 78 deceased-donor recipients of the pilot cohort. Assumptions: no effect on death or graft loss; relative risk of 0.75 for sustained dialysis; an improvement of 5 mL/min/1.73 m2 in eGFR at 1 month; 10% contamination of the control arm; and 5% loss to follow-up. The expected win ratio is 1.33, giving 80% power with a two-sided alpha of 0.05. A blinded sample size re-estimation will be performed at 50% of recruitment, with a predefined cap.

STATISTICAL ANALYSIS The primary analysis follows the intention-to-treat principle using a win ratio stratified by centre and donor type, with win odds, net benefit and the contribution of each hierarchical level. Prespecified sensitivity analyses vary the eGFR tie margin and the dialysis definition, use the per-protocol population, exclude the largest centre and use local instead of central readings. Key secondary outcomes are tested hierarchically to control type I error. Missing 1-month eGFR in participants alive with a functioning graft is handled by multiple imputation.

OVERSIGHT AND ETHICS A blinded adjudication committee reviews every dialysis indication, acute pulmonary oedema, graft loss and the diagnostic reference standard. An independent Data Monitoring Committee reviews safety data every 6 months and performs a non-binding futility analysis at 50% of the information. Concealment of results in the control arm is justified by clinical equipoise: there is no evidence that acting on these measurements improves transplant outcomes, and in haemodialysis a lung ultrasound-guided strategy changed management without improving clinical outcomes. Consent is sought while candidates are on the waiting list, so that the decision is not made under the time pressure of a deceased-donor offer.

02

Conditions studied

  • Kidney Transplantation
  • Delayed Graft Function
  • Fluid Overload

Keywords

  • VExUS
  • graft renal vein
  • POCUS
  • bioimpedance
  • lung ultrasound
03

In context

Delayed Graft Function

83 studies on the registry are indexed under Delayed Graft Function; 15 are open to participants now.

This study's planned enrollment of 650 is above the median of 90 across 62 interventional studies indexed under Delayed Graft Function.

Browse Delayed Graft Function studies →

Lead sponsor

Hospital Universitario Ramon y Cajal is the lead sponsor of 30 studies on the registry; 3 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • CKD stage 5.
  • Kidney-only transplant from a deceased donor (brain death or circulatory death, with or without normothermic regional perfusion).
  • Two-step .

Exclusion criteria

Exclusion Criteria:

  • Multi-organ transplant.
  • ICU admission on mechanical ventilation.
  • Implanted electronic device or major amputation.
  • Fibrotic lung disease or extensive thoracic dressings.
  • Cirrhosis with portal hypertension.
  • Pregnancy.
  • Another interventional trial on fluids or delayed graft function.
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

05

Study design

Phase
Not applicable
Primary purpose
Treatment
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Single (Outcomes assessor)
Enrollment
650 participants (estimated)

Study arms

  • Experimental
    Experimental arm

    "Guided fluid management": BIA + VExUS adapted to the graft + graft venous pulsatility + lung ultrasound. Results go to the treating team and fluids, diuretics and dialysis are managed according to a predefined algorithm.

    Diagnostic Test: Multiparametric assessment · Other: Structured usual care

  • No intervention
    Structured

    "Structured usual care": same assessments with results concealed from the treating team. Critical findings are disclosed in both arms.

Interventions

  • Diagnostic testMultiparametric assessment

    Bioimpedance and Multiparametric Ultrasound-Guided Fluid Management

  • OtherStructured usual care

    Structured usual care

06

What researchers measure

Primary outcomes

  1. Hierarchical composite of death, graft loss, sustained dialysis and eGFR (win ratio)

    Each intervention participant is compared with each control participant within strata (centre, donor type), moving to the next level only if tied: (1) all-cause death (earlier is worse); (2) graft loss, defined as permanent return to dialysis or transplantectomy (earlier is worse); (3) sustained dialysis within 7 days after reperfusion, excluding a single session in the first 24 h for isolated hyperkalaemia (more sessions is worse); (4) eGFR at 1 month, CKD-EPI 2021 creatinine equation (higher is better). Reported as stratified win ratio with 95% CI (Finkelstein-Schoenfeld test), win odds and net benefit.

    Time frame: Day 30 post-transplant (dialysis assessed up to day 7; eGFR measured on days 28-35)

Secondary outcomes

  1. Delayed graft function, by dialysis and functional (CRR2) definitions

    Proportion of participants requiring any dialysis within the first 7 days after transplantation, and proportion with a creatinine reduction ratio on day 2 below 30%.

    Time frame: Day 2 (CRR2) and up to day 7 post-transplant (dialysis)

  2. Number of dialysis sessions

    Number of dialysis sessions and days to last dialysis within the first 7 days.

    Time frame: Up to day 7 post-transplant

  3. Length of stay

    Days from transplantation to discharge from the index admission, analysed with death as a competing event.

    Time frame: Up to 90 days post-transplant

  4. Days alive and out of hospital at 30 days

    Number of days alive and out of hospital within the first 30 days after transplantation.

    Time frame: Day 30 post-transplant

  5. Acute pulmonary oedema

    Proportion of participants with acute pulmonary oedema, adjudicated by a blinded committee using clinical, radiological and oxygenation criteria.

    Time frame: Up to day 30 post-transplant

  6. Cardiovascular events

    Proportion of participants with arrhythmia, acute coronary syndrome, heart failure, stroke, arterial or venous thrombosis, or major bleeding.

    Time frame: Up to day 30 post-transplant

  7. 30-day readmission

    Proportion of participants readmitted after discharge from the index admission, by cause.

    Time frame: Up to 30 days after discharge from the index admission

  8. BIA overhydration trajectory

    Absolute overhydration (L) measured by bioimpedance spectroscopy at each assessment.

    Time frame: Pre-transplant (0-24 h before surgery), days 1, 3 and 7, pre-discharge and month 1 post-transplant

  9. eGFR at 3 and 12 months

    Estimated glomerular filtration rate (CKD-EPI 2021 creatinine equation, mL/min/1.73 m²) obtained from medical records.

    Time frame: Month 3 and month 12 post-transplant

  10. Acute rejection

    Proportion of participants with biopsy-proven or presumptive acute rejection.

    Time frame: Up to day 30 post-transplant

Other outcomes

  1. Time to detection of fluid overload

    Paired comparison of the time from randomisation to first detection of fluid overload by the multiparametric strategy versus physical examination, against a reference standard adjudicated by a blinded committee, with latent class analysis as a sensitivity analysis. All participants.

    Time frame: From randomisation to day 7 post-transplant

  2. Diagnostic accuracy of each method

    Sensitivity, specificity and likelihood ratios of bioimpedance, VExUS, graft venous pulsatility, lung ultrasound and physical examination against the adjudicated reference standard.

    Time frame: Days 1, 3 and 7 and month 1 post-transplant

  3. Inter- and intra-observer reliability

    Weighted kappa, Gwet AC1/AC2 and intraclass correlation coefficient (2,1) for VExUS grade, graft venous pulsatility, lung ultrasound B-lines and bioimpedance; minimal detectable change.

    Time frame: Days 1, 3 and 7 and month 1 post-transplant

  4. Intervention fidelity

    Proportion of assessments in the intervention arm followed by algorithm-concordant management.

    Time frame: Days 1, 3 and 7, pre-discharge and month 1 post-transplant

  5. Contamination of the control arm

    Cumulative intravenous fluid volume (mL) at days 3 and 7 in the control arm, compared across consecutive calendar periods of recruitment.

    Time frame: Day 3 and day 7 post-transplant

  6. Symptomatic hypotension (safety outcome)

    Proportion of participants with at least one episode of systolic blood pressure below 90 mmHg accompanied by symptoms or requiring a fluid bolus or vasopressor.

    Time frame: Up to day 30 post-transplant

  7. Cumulative intravenous fluid volume and fluid balance

    Total intravenous fluid volume administered (mL) and cumulative fluid balance (mL), calculated from the end of surgery.

    Time frame: Day 3 and day 7 post-transplant

07

Study locations

No study locations are listed for this record.

08

References and documents

Publications

  • Rola P, Miralles-Aguiar F, Argaiz E, Beaubien-Souligny W, Haycock K, Karimov T, Dinh VA, Spiegel R. Clinical applications of the venous excess ultrasound (VExUS) score: conceptual review and case series. Ultrasound J. 2021 Jun 19;13(1):32. doi: 10.1186/s13089-021-00232-8. PubMed 34146184 ↗
  • Longino A, Martin K, Leyba K, Siegel G, Gill E, Douglas IS, Burke J. Correlation between the VExUS score and right atrial pressure: a pilot prospective observational study. Crit Care. 2023 May 26;27(1):205. doi: 10.1186/s13054-023-04471-0. PubMed 37237315 ↗
  • Melo RH, Gioli-Pereira L, Melo E, Rola P. Venous excess ultrasound score association with acute kidney injury in critically ill patients: a systematic review and meta-analysis of observational studies. Ultrasound J. 2025 Mar 3;17(1):16. doi: 10.1186/s13089-025-00413-9. PubMed 40029471 ↗
  • Mottola C, Girerd N, Coiro S, Lamiral Z, Rossignol P, Frimat L, Girerd S. Evaluation of Subclinical Fluid Overload Using Lung Ultrasound and Estimated Plasma Volume in the Postoperative Period Following Kidney Transplantation. Transplant Proc. 2018 Jun;50(5):1336-1341. doi: 10.1016/j.transproceed.2018.03.007. Epub 2018 Mar 9. PubMed 29880355 ↗
  • Mallamaci F, Benedetto FA, Tripepi R, Rastelli S, Castellino P, Tripepi G, Picano E, Zoccali C. Detection of pulmonary congestion by chest ultrasound in dialysis patients. JACC Cardiovasc Imaging. 2010 Jun;3(6):586-94. doi: 10.1016/j.jcmg.2010.02.005. PubMed 20541714 ↗
  • Jia H, Huang F, Zhang X, Cheng J, Chen J, Wu J. Early perioperative fluid overload is associated with adverse outcomes in deceased donor kidney transplantation. Transpl Int. 2021 Oct;34(10):1862-1874. doi: 10.1111/tri.13926. Epub 2021 Jul 27. PubMed 34053132 ↗
  • Koratala A, Reisinger N. Venous Excess Doppler Ultrasound for the Nephrologist: Pearls and Pitfalls. Kidney Med. 2022 May 19;4(7):100482. doi: 10.1016/j.xkme.2022.100482. eCollection 2022 Jul. PubMed 35707749 ↗
  • Agricola E, Bove T, Oppizzi M, Marino G, Zangrillo A, Margonato A, Picano E. "Ultrasound comet-tail images": a marker of pulmonary edema: a comparative study with wedge pressure and extravascular lung water. Chest. 2005 May;127(5):1690-5. doi: 10.1378/chest.127.5.1690. PubMed 15888847 ↗
  • Covic A, Siriopol D, Voroneanu L. Use of Lung Ultrasound for the Assessment of Volume Status in CKD. Am J Kidney Dis. 2018 Mar;71(3):412-422. doi: 10.1053/j.ajkd.2017.10.009. Epub 2017 Dec 21. PubMed 29274919 ↗
  • Wizemann V, Wabel P, Chamney P, Zaluska W, Moissl U, Rode C, Malecka-Masalska T, Marcelli D. The mortality risk of overhydration in haemodialysis patients. Nephrol Dial Transplant. 2009 May;24(5):1574-9. doi: 10.1093/ndt/gfn707. Epub 2009 Jan 7. PubMed 19131355 ↗
  • Dekker MJE, Kooman JP. Fluid status assessment in hemodialysis patients and the association with outcome: review of recent literature. Curr Opin Nephrol Hypertens. 2018 May;27(3):188-193. doi: 10.1097/MNH.0000000000000409. PubMed 29621026 ↗
  • Beltramino S, Bruno AM, Fernandez D, Walther J, Werber G. The Prevalence of Systemic Venous Congestion Post Kidney Transplant Detected by Point of Care Ultrasound (POCUS). POCUS J. 2025 Apr 15;10(1):134-140. doi: 10.24908/pocusj.v10i01.18260. eCollection 2025 Apr. PubMed 40342681 ↗
  • Kalantar-Zadeh K, Regidor DL, Kovesdy CP, Van Wyck D, Bunnapradist S, Horwich TB, Fonarow GC. Fluid retention is associated with cardiovascular mortality in patients undergoing long-term hemodialysis. Circulation. 2009 Feb 10;119(5):671-9. doi: 10.1161/CIRCULATIONAHA.108.807362. Epub 2009 Jan 26. PubMed 19171851 ↗
  • Sosa Barrios RH, Vallejo MG, Vion VMB, Lucas MF, Gorrin MER. Graft Renal Vein Pulsatility as a Marker of Systemic Venous Congestion in Kidney Transplant Recipients: Concordance with the VExUS Score and Implications for Hemodynamic Management. J Nephrol. 2026 Sep 19:aajag245. doi: 10.1093/joneph/aajag245. Online ahead of print. PubMed 42760905 ↗
  • Sosa Barrios RH, Minguez Toral I, Burguera Vion VM, Galeano Alvarez C, Elias Trivino S, Fernandez Lucas M, Rivera Gorrin ME. Point-of-Care Ultrasound in Post-Kidney Transplant Patients: Venous Excess Ultrasound Score and Lung Ultrasound for Fluid Assessment. Blood Purif. 2026 May 28:1-12. doi: 10.1159/000552658. Online ahead of print. PubMed 42207730 ↗
  • Ismail AH, Schlieper G, Walter M, Floege J, Leonhardt S. Knee-to-knee Bioimpedance Measurements to Monitor Changes in Extracellular Fluid in Haemodynamic-unstable Patients During Dialysis. J Electr Bioimpedance. 2019 Aug 20;10(1):55-62. doi: 10.2478/joeb-2019-0008. eCollection 2019 Jan. PubMed 33584883 ↗
  • Torino C, Gargani L, Sicari R, Letachowicz K, Ekart R, Fliser D, Covic A, Siamopoulos K, Stavroulopoulos A, Massy ZA, Fiaccadori E, Caiazza A, Bachelet T, Slotki I, Martinez-Castelao A, Coudert-Krier MJ, Rossignol P, Gueler F, Hannedouche T, Panichi V, Wiecek A, Pontoriero G, Sarafidis P, Klinger M, Hojs R, Seiler-Mussler S, Lizzi F, Siriopol D, Balafa O, Shavit L, Tripepi R, Mallamaci F, Tripepi G, Picano E, London GM, Zoccali C. The Agreement between Auscultation and Lung Ultrasound in Hemodialysis Patients: The LUST Study. Clin J Am Soc Nephrol. 2016 Nov 7;11(11):2005-2011. doi: 10.2215/CJN.03890416. Epub 2016 Sep 22. PubMed 27660305 ↗
  • Balik M, Plasil P, Waldauf P, Pazout J, Fric M, Otahal M, Pachl J. Ultrasound estimation of volume of pleural fluid in mechanically ventilated patients. Intensive Care Med. 2006 Feb;32(2):318. doi: 10.1007/s00134-005-0024-2. Epub 2006 Jan 24. PubMed 16432674 ↗
  • Frassi F, Gargani L, Tesorio P, Raciti M, Mottola G, Picano E. Prognostic value of extravascular lung water assessed with ultrasound lung comets by chest sonography in patients with dyspnea and/or chest pain. J Card Fail. 2007 Dec;13(10):830-5. doi: 10.1016/j.cardfail.2007.07.003. PubMed 18068616 ↗
  • Beaubien-Souligny W, Rola P, Haycock K, Bouchard J, Lamarche Y, Spiegel R, Denault AY. Quantifying systemic congestion with Point-Of-Care ultrasound: development of the venous excess ultrasound grading system. Ultrasound J. 2020 Apr 9;12(1):16. doi: 10.1186/s13089-020-00163-w. PubMed 32270297 ↗

Individual participant data

Plan to share: No

09

Updates

1 registry update since Sep 25, 2026
Registered
First appeared on the registry. No changes since
Oct 30, 2026
Show all 1 update
  1. Oct 30, 2026
    First appeared on the registry

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

10

Registry details

Key details

Study ID
NCT07905963
Lead sponsor
Hospital Universitario Ramon y Cajal
Collaborators
Hospital San Carlos, Madrid, Hospital Universitari de Bellvitge
Responsible party
R. HARIDIAN SOSA BARRIOS (MD, PhD. Consultant Nephrologist, Hospital Universitario Ramon y Cajal) — Principal investigator
First posted
Oct 30, 2026
Start date
Jan 2027 (estimated)
Primary completion
Dec 2029 (estimated)
Completion
Dec 2029 (estimated)
Last update
Oct 30, 2026

Study contacts

R. Haridian Sosa Barrios, MD, PhD
Contact
haridian@gmail.com
0034913369022

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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