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Not yet recruitingNCT07722325VRPG-AKIUpdated Jul 23, 2026

Venous Return Pressure Gradient as a Predictor of Acute Kidney Injury

An observational study in AKI - Acute Kidney Injury, sponsored by Sichuan Academy of Medical Sciences. Not yet recruiting. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-07-23.

Sponsored by Sichuan Academy of Medical Sciences · Observational

Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
180
Ages
18 Years and older
Sex
All
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Study summary

Acute kidney injury (AKI) is a common and serious complication in the ICU. Current diagnostic indicators (such as creatinine and urine output) exhibit significant lag, and specific hemodynamic predictive markers are lacking. The venous return pressure gradient (Pmsf-CVP), based on Guyton's theory, reflects the driving pressure for venous return; however, its value in the early warning of AKI remains unclear. This study aims to investigate the predictive value of the venous return pressure gradient for the onset and progression of AKI in ICU patients, and to clarify its effectiveness as an AKI risk warning indicator.

Patients admitted to the ICU within 48 hours with risk factors for AKI (including sepsis, shock, major surgery, underlying diseases, etc.) who have radial artery catheterization and can undergo hemodynamic monitoring will be enrolled. Those undergoing maintenance dialysis/CRRT, ECMO support, or with missing core data precluding calculation of Pmsf-CVP or AKI assessment will be excluded.

The venous return pressure gradient (Pmsf-CVP, mmHg) will be measured within 48 hours of ICU admission using the transient stop-flow arm arterial-venous equilibrium pressure method. The primary outcome is to evaluate the association between the venous return pressure gradient level and AKI occurrence. Secondary outcomes include correlation analyses between the venous return pressure gradient level and serum creatinine and urine output within 48 hours of ICU admission, among others.

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Conditions studied

  • AKI - Acute Kidney Injury

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Keywords

  • Venous return pressure gradient
  • Acute kidney injury
  • Mean systemic filling pressure
  • Central venous pressure
  • Intensive care
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In context

Acute Kidney Injury

1,595 studies on the registry are indexed under Acute Kidney Injury; 371 are open to participants now.

This study's planned enrollment of 180 is above the median of 150 across 773 observational studies indexed under Acute Kidney Injury.

Browse Acute Kidney Injury studies →

Lead sponsor

Sichuan Academy of Medical Sciences is the lead sponsor of 16 studies on the registry; 9 are open to participants now.

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

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Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Adult ICU patients (age ≥18 years) at risk for acute kidney injury, with central venous and radial arterial catheters in place for hemodynamic monitoring, no AKI at ICU admission per KDIGO criteria, and complete data available for calculation of venous return pressure gradient (Pmsf-CVP) within 48 hours of admission.

Inclusion criteria

  1. Age ≥18 years
  2. Admitted to the intensive care unit (ICU) within 48 hours
  3. Central venous catheter in place for continuous central venous pressure (CVP) monitoring
  4. Radial artery catheter in place for hemodynamic monitoring including mean systemic filling pressure (Pmsf)
  5. No acute kidney injury (AKI) at ICU admission according to KDIGO criteria

Exclusion criteria

Exclusion Criteria:

  1. Maintenance hemodialysis or continuous renal replacement therapy (CRRT) prior to ICU admission
  2. Previous kidney transplantation
  3. Pregnancy
  4. Extracorporeal membrane oxygenation (ECMO) support at ICU admission
  5. Incomplete core hemodynamic data precluding calculation of venous return pressure gradient (Pmsf-CVP) or AKI assessment
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Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
180 participants (estimated)
Patient registry
No

Interventions

  • OtherNo study intervention

    No study intervention. This is an observational cohort study using routine hemodynamic monitoring data (Pmsf and CVP) collected during standard clinical care.

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What researchers measure

Primary outcomes

  1. Acute Kidney Injury occurrence

    Occurrence of acute kidney injury diagnosed according to KDIGO criteria (serum creatinine increase ≥1.5 times baseline, or ≥26 μmol/L within 48 hours, or urine output \<0.5 mL/kg/h for ≥6 hours) during the ICU stay. The association between venous return pressure gradient (Pmsf-CVP, measured within the first 48 hours of ICU admission using the Pmsf-arm method) and AKI occurrence will be assessed by multivariable logistic regression analysis, adjusting for APACHE II score, baseline serum creatinine, lactate, mean arterial pressure, sepsis, and shock.

    Time frame: Within 48 hours of ICU admission

Secondary outcomes

  1. Persistent Acute Kidney Injury

    Persistent AKI defined as failure of renal function to return to baseline within 48 hours after AKI occurrence during the ICU stay. The predictive value of venous return pressure gradient (Pmsf-CVP) for persistent AKI will be evaluated by ROC curve analysis.

    Time frame: Within 48 hours after AKI occurrence during the ICU stay

  2. AKI severity grade

    Maximum AKI stage (KDIGO stage 1, 2, or 3) achieved during the ICU stay.

    Time frame: At the time of maximum AKI stage during the ICU stay, up to 28 days

  3. In-hospital mortality

    All-cause mortality during the index hospitalization.

    Time frame: From ICU admission to hospital discharge, up to 90 days

  4. Total length of hospital stay

    Number of days from hospital admission to hospital discharge or in-hospital death, whichever comes first. Patients still hospitalized at day 90 will be censored at 90 days.

    Time frame: From hospital admission to discharge or death, up to 90 days

  5. Correlation between venous return pressure gradient and serum creatinine

    Spearman rank correlation analysis between Pmsf-CVP (measured within 48 hours of ICU admission) and serum creatinine levels (baseline creatinine at ICU admission and peak creatinine during ICU stay).

    Time frame: Within 48 hours of ICU admission

  6. Correlation between venous return pressure gradient and lactate

    Spearman rank correlation analysis between Pmsf-CVP (measured within 48 hours of ICU admission) and lactate levels obtained from the first arterial blood gas analysis within 48 hours of ICU admission.

    Time frame: Within 48 hours of ICU admission

  7. Duration of mechanical ventilation

    Number of days on invasive mechanical ventilation from the time of first intubation to the first successful extubation. Reintubation within 48 hours will be counted as continuous ventilation.

    Time frame: From intubation to first successful extubation

  8. Length of ICU stay

    Number of days from ICU admission to ICU discharge.

    Time frame: From ICU admission to ICU discharge

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Study locations

No study locations are listed for this record.

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References and documents

Publications

  • Eskesen TG, Wetterslev M, Perner A. Systematic review including re-analyses of 1148 individual data sets of central venous pressure as a predictor of fluid responsiveness. Intensive Care Med. 2016 Mar;42(3):324-332. doi: 10.1007/s00134-015-4168-4. Epub 2015 Dec 9. PubMed 26650057 ↗
  • Magder S. The use of Guyton's approach to the control of cardiac output for clinical fluid management. Ann Intensive Care. 2024 Jul 4;14(1):105. doi: 10.1186/s13613-024-01316-z. PubMed 38963533 ↗
  • Chen X, Wang X, Honore PM, Spapen HD, Liu D. Renal failure in critically ill patients, beware of applying (central venous) pressure on the kidney. Ann Intensive Care. 2018 Sep 20;8(1):91. doi: 10.1186/s13613-018-0439-x. PubMed 30238174 ↗
  • Badin J, Boulain T, Ehrmann S, Skarzynski M, Bretagnol A, Buret J, Benzekri-Lefevre D, Mercier E, Runge I, Garot D, Mathonnet A, Dequin PF, Perrotin D. Relation between mean arterial pressure and renal function in the early phase of shock: a prospective, explorative cohort study. Crit Care. 2011;15(3):R135. doi: 10.1186/cc10253. Epub 2011 Jun 6. PubMed 21645384 ↗
  • Wonnacott A, Meran S, Amphlett B, Talabani B, Phillips A. Epidemiology and outcomes in community-acquired versus hospital-acquired AKI. Clin J Am Soc Nephrol. 2014 Jun 6;9(6):1007-14. doi: 10.2215/CJN.07920713. Epub 2014 Mar 27. PubMed 24677557 ↗
  • Turgut F, Awad AS, Abdel-Rahman EM. Acute Kidney Injury: Medical Causes and Pathogenesis. J Clin Med. 2023 Jan 3;12(1):375. doi: 10.3390/jcm12010375. PubMed 36615175 ↗
  • Rossiter A, La A, Koyner JL, Forni LG. New biomarkers in acute kidney injury. Crit Rev Clin Lab Sci. 2024 Jan;61(1):23-44. doi: 10.1080/10408363.2023.2242481. Epub 2023 Sep 5. PubMed 37668397 ↗
  • Siew ED, Davenport A. The growth of acute kidney injury: a rising tide or just closer attention to detail? Kidney Int. 2015 Jan;87(1):46-61. doi: 10.1038/ki.2014.293. Epub 2014 Sep 17. PubMed 25229340 ↗
  • Coca SG, Singanamala S, Parikh CR. Chronic kidney disease after acute kidney injury: a systematic review and meta-analysis. Kidney Int. 2012 Mar;81(5):442-8. doi: 10.1038/ki.2011.379. Epub 2011 Nov 23. PubMed 22113526 ↗
  • Cerda J, Kashani K, Ostermann M, Basu RK, Bell S, Cantaluppi V, Chakaravarthi R, Costa JM, Claure-Del Granado R, Macedo E, Rhee H, Srisawat N, Wu VC, Yang L, Mehta RL. The global epidemiology of acute kidney injury: challenges and opportunities. Nat Rev Nephrol. 2026 Mar;22(3):179-198. doi: 10.1038/s41581-025-01030-4. Epub 2025 Dec 5. PubMed 41350436 ↗
  • Hoste EA, Bagshaw SM, Bellomo R, Cely CM, Colman R, Cruz DN, Edipidis K, Forni LG, Gomersall CD, Govil D, Honore PM, Joannes-Boyau O, Joannidis M, Korhonen AM, Lavrentieva A, Mehta RL, Palevsky P, Roessler E, Ronco C, Uchino S, Vazquez JA, Vidal Andrade E, Webb S, Kellum JA. Epidemiology of acute kidney injury in critically ill patients: the multinational AKI-EPI study. Intensive Care Med. 2015 Aug;41(8):1411-23. doi: 10.1007/s00134-015-3934-7. Epub 2015 Jul 11. PubMed 26162677 ↗
  • Asfar P, Meziani F, Hamel JF, Grelon F, Megarbane B, Anguel N, Mira JP, Dequin PF, Gergaud S, Weiss N, Legay F, Le Tulzo Y, Conrad M, Robert R, Gonzalez F, Guitton C, Tamion F, Tonnelier JM, Guezennec P, Van Der Linden T, Vieillard-Baron A, Mariotte E, Pradel G, Lesieur O, Ricard JD, Herve F, du Cheyron D, Guerin C, Mercat A, Teboul JL, Radermacher P; SEPSISPAM Investigators. High versus low blood-pressure target in patients with septic shock. N Engl J Med. 2014 Apr 24;370(17):1583-93. doi: 10.1056/NEJMoa1312173. Epub 2014 Mar 18. PubMed 24635770 ↗
  • Chen KP, Cavender S, Lee J, Feng M, Mark RG, Celi LA, Mukamal KJ, Danziger J. Peripheral Edema, Central Venous Pressure, and Risk of AKI in Critical Illness. Clin J Am Soc Nephrol. 2016 Apr 7;11(4):602-8. doi: 10.2215/CJN.08080715. Epub 2016 Jan 19. PubMed 26787777 ↗
  • Goeddel LA, Hernandez M, Koffman L, Murphy Z, Khanna AK, Robich M, Whitman G, Zhou X, Bandeen-Roche K, Muschelli J 3rd, Parikh CR, Lima JAC, Crainiceanu CM, Brown C 4th, Faraday N. Fine-Mapping the Association of Acute Kidney Injury With Mean Arterial and Central Venous Pressures During Coronary Artery Bypass Surgery. Anesth Analg. 2025 Jun 1;140(6):1439-1449. doi: 10.1213/ANE.0000000000007500. Epub 2025 Apr 17. PubMed 40244889 ↗
  • Bolanos G F, de Pastrana SL. [Classification, diagnostic criteria and some therapeutic considerations of the solitary thyroid nodulf (author's transl)]. Rev Invest Clin. 1976 Oct-Dec;28(4):341-5. No abstract available. Spanish. PubMed 1016436 ↗
  • Cops J, Mullens W, Verbrugge FH, Swennen Q, De Moor B, Reynders C, Penders J, Achten R, Driessen A, Dendooven A, Rigo JM, Hansen D. Selective abdominal venous congestion induces adverse renal and hepatic morphological and functional alterations despite a preserved cardiac function. Sci Rep. 2018 Dec 10;8(1):17757. doi: 10.1038/s41598-018-36189-3. PubMed 30532057 ↗
  • Magder S, Slobod D, Vieillard-Baron A. Physiological and clinical significance of mean circulatory and mean systemic filling pressure. Ann Intensive Care. 2025 Nov 24;15(1):187. doi: 10.1186/s13613-025-01595-0. PubMed 41283961 ↗
  • Damman K, Navis G, Smilde TD, Voors AA, van der Bij W, van Veldhuisen DJ, Hillege HL. Decreased cardiac output, venous congestion and the association with renal impairment in patients with cardiac dysfunction. Eur J Heart Fail. 2007 Sep;9(9):872-8. doi: 10.1016/j.ejheart.2007.05.010. Epub 2007 Jun 22. PubMed 17586090 ↗
  • Boyd JH, Forbes J, Nakada TA, Walley KR, Russell JA. Fluid resuscitation in septic shock: a positive fluid balance and elevated central venous pressure are associated with increased mortality. Crit Care Med. 2011 Feb;39(2):259-65. doi: 10.1097/CCM.0b013e3181feeb15. PubMed 20975548 ↗
  • Panwar R, McNicholas B, Teixeira JP, Kansal A. Renal perfusion pressure: role and implications in critical illness. Ann Intensive Care. 2025 Aug 8;15(1):115. doi: 10.1186/s13613-025-01535-y. PubMed 40775567 ↗
  • Chen CY, Zhou Y, Wang P, Qi EY, Gu WJ. Elevated central venous pressure is associated with increased mortality and acute kidney injury in critically ill patients: a meta-analysis. Crit Care. 2020 Mar 5;24(1):80. doi: 10.1186/s13054-020-2770-5. PubMed 32138764 ↗
  • Legrand M, Dupuis C, Simon C, Gayat E, Mateo J, Lukaszewicz AC, Payen D. Association between systemic hemodynamics and septic acute kidney injury in critically ill patients: a retrospective observational study. Crit Care. 2013 Nov 29;17(6):R278. doi: 10.1186/cc13133. PubMed 24289206 ↗

Individual participant data

Plan to share: No

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jul 23, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT07722325
Lead sponsor
Sichuan Academy of Medical Sciences
Responsible party
Rongan Liu (Associate Chief Physician, Intensive Care Unit, Sichuan Academy of Medical Sciences) — Principal investigator
First posted
Jul 23, 2026
Start date
Jul 5, 2026 (estimated)
Primary completion
May 1, 2027 (estimated)
Completion
May 1, 2027 (estimated)
Last update
Jul 23, 2026

Study contacts

rongan Liu
Contact
35279240@qq.com
+8615928731511
chunling Chen
Contact
cclblingk@163.com
+8618349304972

Oversight

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

Not currently enrolling

This study is not yet recruiting, as verified in Jul 2026. You cannot join it, but the record below documents what was studied.

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