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| Name | Class |
|---|---|
| Wake Forest University Health Sciences | OTHER |
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The goal of this observational study is to learn whether high abdominal pressure or low blood flow pressure to the kidneys is linked to kidney injury after heart surgery. The main questions it aims to answer are:
Does high abdominal pressure increase the risk of kidney injury after cardiac surgery?
Can low blood flow pressure to the kidneys help predict who may develop kidney problems?
Participants in this study are adults undergoing heart surgery, such as coronary artery bypass grafting (CABG) or valve surgery. Researchers will measure abdominal pressure and blood pressure continuously before and after surgery using medical devices that are already part of routine care. This study does not involve any changes to standard treatment.
Participants will:
Have their abdominal and blood pressures continuously monitored using existing devices
Have blood and urine tests to check kidney function
Be followed during their hospital stay and up to 30 days after surgery to assess outcomes like length of stay, readmission, and survival
This study takes place at two hospitals-one in Poland and one in the United States. Researchers hope the findings will help identify early warning signs of kidney injury and improve monitoring practices after heart surgery.
This is a prospective, observational pilot study designed to investigate the relationship between elevated intra-abdominal pressure (IAP), impaired perfusion pressures, and the development of acute kidney injury (AKI) in adult patients undergoing cardiac surgery. The study will focus on whether continuous intra-abdominal pressure (CIAP) monitoring can provide early warning signs for AKI and other postoperative complications.
Intra-abdominal pressure (IAP) refers to the steady-state pressure within the abdominal cavity. In healthy individuals, IAP typically ranges between 5 and 7 millimeters of mercury (mmHg), while values may rise to around 10 mmHg in critically ill patients. Sustained IAP values at or above 12 mmHg define intra-abdominal hypertension (IAH). More severe elevations above 20 mmHg can result in abdominal compartment syndrome (ACS), which is associated with new organ dysfunction or failure. IAH can negatively impact multiple organ systems, including the kidneys, lungs, cardiovascular system, gastrointestinal tract, liver, and brain, through both mechanical and biochemical mechanisms.
Traditional IAP monitoring methods rely on intermittent measurement via the urinary bladder using a Foley catheter and saline instillation, performed at end-expiration with the patient in the supine position. Although this method is widely accepted, it is labor-intensive, operator-dependent, and cannot provide real-time pressure trends. As a result, diagnosis and management of IAH may be delayed.
Advancements in monitoring technology now allow for continuous IAP measurement using devices such as the TraumaGuard catheter. This dual-balloon Foley catheter provides real-time data on both IAP and core body temperature. It connects to standard intensive care unit (ICU) bedside monitors and allows continuous data capture and analysis.
This study will use continuous measurements of IAP, mean arterial pressure (MAP), central venous pressure (CVP), and mean alveolar pressure (Palv) to calculate key perfusion pressures:
Abdominal perfusion pressure (APP) = MAP - IAP
Mean perfusion pressure (MPP) = MAP - CVP
Renal perfusion pressure (RPP):
Continuous monitoring will also allow for the calculation of area under the curve (AUC) and time above threshold (TAT), providing a dynamic view of the pressure-time burden and potentially offering earlier insight into evolving complications. These data will be analyzed to assess whether sustained periods of low APP, MPP, or RPP are associated with higher rates of AKI and other adverse outcomes.
Cardiac surgery patients are considered at high risk for IAH due to fluid shifts, systemic inflammation, positive pressure ventilation, and reduced abdominal wall compliance. This study will capture multiple IAH risk factors, including patient demographics (e.g., obesity, body mass index, age), surgical variables (e.g., cardiopulmonary bypass duration, transfusion volume), and clinical factors (e.g., presence of sepsis, acidosis, or coagulopathy).
All participants will receive standard-of-care monitoring, including urinary catheters and arterial lines. The TraumaGuard catheter will be used only for data collection purposes and will not influence clinical management. No deviation from routine practice is required, and the study is entirely observational in nature.
The primary outcome is the incidence of acute kidney injury (AKI), diagnosed using Kidney Disease: Improving Global Outcomes (KDIGO) criteria. AKI will be identified by changes in serum creatinine levels and reductions in urine output during the first seven postoperative days. Secondary outcomes include myocardial injury, intensive care unit (ICU) and hospital length of stay, 30-day mortality, and hospital readmission.
Perfusion pressures (MAP, APP, MPP, RPP) will be analyzed to determine the duration and depth of hypotension relative to specific thresholds. All data will be collected continuously from bedside monitors and synchronized using timestamps to ensure accuracy. The TraumaGuard data will be integrated with beat-to-beat electronic medical record data (e.g., CapsuleTech or equivalent systems).
A total of 45 adult patients undergoing elective cardiac surgery (CABG or valve surgery) will be enrolled at two academic centers. This sample size is based on previous feasibility data and is expected to generate at least 12 AKI events, sufficient to explore statistical associations, estimate variance, and refine methodology for a larger follow-up study.
Descriptive statistics will be used to summarize perfusion pressures, with group comparisons between patients who develop AKI and those who do not. Receiver operating characteristic (ROC) curve analysis will be conducted to identify thresholds of IAP, APP, MPP, and RPP that predict AKI and other complications. A Kaplan-Meier survival analysis will be used to compare outcomes based on the presence of IAH and low perfusion pressures.
Due to the limited sample size, multivariable regression analysis will not be performed in this pilot phase.
This study aims to determine whether continuous intra-abdominal pressure monitoring can serve as a clinically valuable, noninvasive method for early detection of hemodynamic deterioration and AKI after cardiac surgery. The results may inform the design of larger-scale studies and help evaluate the potential role of IAP monitoring as a new vital sign in critical care.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Patients with postoperative AKI | According to KDIGO criteria |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Continous IAP measurement | Device | Continuous IAP measurement via existing Foley bladder catheter - allowing continuous APP, MPP and RPP calculation |
|
| Measure | Description | Time Frame |
|---|---|---|
| Incidence of acute kidney injury (AKI) in participants with and without intra-abdominal hypertension (IAH) | To determine whether the presence of intra-abdominal hypertension (IAP ≥ 12 mmHg) is associated with a higher incidence of AKI follow. Measure Type: Binary outcome. Unit of Measure: % of participants with AKI. Method of Assessment: AKI will be diagnosed using the Kidney Disease: Improving Global Outcomes (KDIGO) criteria, based on changes in serum creatinine and urine output. IAH will be defined as intra-abdominal pressure (IAP) ≥ 12 mmHg, measured using continuous intra-abdominal pressure monitoring. | Postoperative Days 0 through 7 |
| Measure | Description | Time Frame |
|---|---|---|
| Association between abdominal perfusion pressure (APP) and incidence of acute kidney injury (AKI) | To assess whether lower abdominal perfusion pressure (APP = mean arterial pressure - intra-abdominal pressure) is associated with a higher risk of AKI. Measure Type: Comparative association. Unit of Measure: Odds ratio for AKI or % of participants with AKI by APP range. Method of Assessment: APP will be calculated using continuously recorded mean arterial pressure (MAP) and intra-abdominal pressure (IAP). AKI will be assessed using KDIGO criteria. |
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Inclusion Criteria
Exclusion Criteria
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This two-center prospective observational study will enroll adult patients undergoing cardiac surgery (e.g., coronary artery bypass grafting, valve surgery, or assist device placement). Participants will receive a TraumaGuard urinary catheter, which functions both as a standard Foley catheter and as a device for continuous intra-abdominal pressure monitoring. Data will be collected during and after surgery. An initial cohort of 45 patients will be analyzed for feasibility and to inform the sample size for future enrollment.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Manu L Malbrain, MD, PhD | Contact | 0032476244779 | manu.malbrain@umlub.pl |
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| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 37829983 | Background | Dang PT, Lopez BE, Togashi K. A Decrease in Effective Renal Perfusion Pressure Is Associated With Increased Acute Kidney Injury in Patients Undergoing Cardiac Surgery. Cureus. 2023 Sep 11;15(9):e45036. doi: 10.7759/cureus.45036. eCollection 2023 Sep. | |
| 40244889 | Background | 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. |
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Needs to be defined
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| ID | Term |
|---|---|
| D058186 | Acute Kidney Injury |
| ID | Term |
|---|---|
| D051437 | Renal Insufficiency |
| D007674 | Kidney Diseases |
| D014570 | Urologic Diseases |
| D052776 | Female Urogenital Diseases |
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| Postoperative Days 0 through 7 |
| Association between mean perfusion pressure (MPP) and incidence of acute kidney injury (AKI) | To assess whether lower mean perfusion pressure (MPP = mean arterial pressure - central venous pressure) is associated with a higher risk of AKI. Measure Type: Comparative association. Unit of Measure: Odds ratio for AKI or % of participants with AKI by MPP range. Method of Assessment: MPP will be calculated using continuously recorded mean arterial pressure (MAP) and central venous pressure (CVP). AKI will be assessed using KDIGO criteria. | Postoperative Days 0 through 7 |
| Association between renal perfusion pressure (RPP) and incidence of acute kidney injury (AKI) | To evaluate whether lower renal perfusion pressure (RPP) is associated with an increased risk of AKI after cardiac surgery. In non-ventilated patients: RPP = MAP - IAP - CVP In mechanically ventilated patients: RPP = MAP - IAP - CVP - mean alveolar pressure (Palv) Measure Type: Comparative association. Unit of Measure: Odds ratio for AKI or % of participants with AKI by RPP range. Method of Assessment: RPP will be calculated using continuously recorded mean arterial pressure (MAP), intra-abdominal pressure (IAP), central venous pressure (CVP), and mean alveolar pressure (Palv) where applicable. AKI is defined using KDIGO criteria. | Postoperative Days 0 through 7 |
| Association between intra-abdominal hypertension (IAH) and postoperative myocardial injury | To evaluate whether participants who develop intra-abdominal hypertension (IAP ≥ 12 mmHg) are more likely to experience myocardial injury after cardiac surgery. Measure Type: Binary outcome. Unit of Measure: % of participants with myocardial injury. Method of Assessment: Myocardial injury defined by cardiac biomarkers: troponin T ≥ 0.04 µg/L or creatine kinase-MB (CK-MB) ≥ 8.8 ng/mL, measured within 7 days of surgery. | Postoperative Days 0 through 7 |
| Agreement between intra-abdominal pressure (IAP) measurements using the TraumaGuard device and standard intermittent bladder pressure measurements | To assess the agreement, accuracy, and reliability of intra-abdominal pressure (IAP) monitoring using the TraumaGuard catheter (IAPTG) compared to the gold-standard intermittent transvesical measurement technique. Agreement will be evaluated using statistical measures such as Bland-Altman plots and intraclass correlation coefficients (ICC). Measure Type: Comparative diagnostic performance. Unit of Measure: Intraclass correlation coefficient (ICC), mean difference (mmHg), limits of agreement (mmHg). Method of Assessment: Intra-abdominal pressure will be measured simultaneously using both the TraumaGuard catheter system and the intermittent bladder pressure method. Measurements will be recorded at predefined intervals with the patient in supine position. Agreement between methods will be analyzed to determine validity, reproducibility, and potential clinical interc | Up to 48 hours post-surgery (duration of Foley catheter placement in ICU) |
| 23835589 | Background | Walsh M, Devereaux PJ, Garg AX, Kurz A, Turan A, Rodseth RN, Cywinski J, Thabane L, Sessler DI. Relationship between intraoperative mean arterial pressure and clinical outcomes after noncardiac surgery: toward an empirical definition of hypotension. Anesthesiology. 2013 Sep;119(3):507-15. doi: 10.1097/ALN.0b013e3182a10e26. |
| 30909772 | Background | Kopitko C, Medve L, Gondos T. The value of combined hemodynamic, respiratory and intra-abdominal pressure monitoring in predicting acute kidney injury after major intraabdominal surgeries. Ren Fail. 2019 Nov;41(1):150-158. doi: 10.1080/0886022X.2019.1587467. |
| 11038078 | Background | Cheatham ML, White MW, Sagraves SG, Johnson JL, Block EF. Abdominal perfusion pressure: a superior parameter in the assessment of intra-abdominal hypertension. J Trauma. 2000 Oct;49(4):621-6; discussion 626-7. doi: 10.1097/00005373-200010000-00008. |
| 32614244 | Background | Panwar R, Tarvade S, Lanyon N, Saxena M, Bush D, Hardie M, Attia J, Bellomo R, Van Haren F; REACT Shock Study Investigators and Research Coordinators. Relative Hypotension and Adverse Kidney-related Outcomes among Critically Ill Patients with Shock. A Multicenter, Prospective Cohort Study. Am J Respir Crit Care Med. 2020 Nov 15;202(10):1407-1418. doi: 10.1164/rccm.201912-2316OC. |
| 23514525 | Background | Schneider AG, Goodwin MD, Bellomo R. Measurement of kidney perfusion in critically ill patients. Crit Care. 2013 Mar 19;17(2):220. doi: 10.1186/cc12529. No abstract available. |
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| 16603656 | Background | Loutzenhiser R, Griffin K, Williamson G, Bidani A. Renal autoregulation: new perspectives regarding the protective and regulatory roles of the underlying mechanisms. Am J Physiol Regul Integr Comp Physiol. 2006 May;290(5):R1153-67. doi: 10.1152/ajpregu.00402.2005. |
| 38980557 | Background | Malbrain MLNG, Tantakoun K, Zara AT, Ferko NC, Kelly T, Dabrowski W. Urine output is an early and strong predictor of acute kidney injury and associated mortality: a systematic literature review of 50 clinical studies. Ann Intensive Care. 2024 Jul 9;14(1):110. doi: 10.1186/s13613-024-01342-x. |
| 28239173 | Background | Chawla LS, Bellomo R, Bihorac A, Goldstein SL, Siew ED, Bagshaw SM, Bittleman D, Cruz D, Endre Z, Fitzgerald RL, Forni L, Kane-Gill SL, Hoste E, Koyner J, Liu KD, Macedo E, Mehta R, Murray P, Nadim M, Ostermann M, Palevsky PM, Pannu N, Rosner M, Wald R, Zarbock A, Ronco C, Kellum JA; Acute Disease Quality Initiative Workgroup 16.. Acute kidney disease and renal recovery: consensus report of the Acute Disease Quality Initiative (ADQI) 16 Workgroup. Nat Rev Nephrol. 2017 Apr;13(4):241-257. doi: 10.1038/nrneph.2017.2. Epub 2017 Feb 27. |
| 27373799 | Background | O'Neal JB, Shaw AD, Billings FT 4th. Acute kidney injury following cardiac surgery: current understanding and future directions. Crit Care. 2016 Jul 4;20(1):187. doi: 10.1186/s13054-016-1352-z. |
| 25728733 | Background | Han SS, Shin N, Baek SH, Ahn SY, Kim DK, Kim S, Chin HJ, Chae DW, Na KY. Effects of acute kidney injury and chronic kidney disease on long-term mortality after coronary artery bypass grafting. Am Heart J. 2015 Mar;169(3):419-25. doi: 10.1016/j.ahj.2014.12.019. Epub 2015 Jan 6. |
| 30110680 | Background | Drosos G, Ampatzidou F, Sarafidis P, Karaiskos T, Madesis A, Boutou AK. Serum Creatinine and Chronic Kidney Disease-Epidemiology Estimated Glomerular Filtration Rate: Independent Predictors of Renal Replacement Therapy following Cardiac Surgery. Am J Nephrol. 2018;48(2):108-117. doi: 10.1159/000492182. Epub 2018 Aug 15. |
| 30228051 | Background | Chew STH, Hwang NC. Acute Kidney Injury After Cardiac Surgery: A Narrative Review of the Literature. J Cardiothorac Vasc Anesth. 2019 Apr;33(4):1122-1138. doi: 10.1053/j.jvca.2018.08.003. Epub 2018 Aug 7. |
| 24826910 | Background | Machado MN, Nakazone MA, Maia LN. Prognostic value of acute kidney injury after cardiac surgery according to kidney disease: improving global outcomes definition and staging (KDIGO) criteria. PLoS One. 2014 May 14;9(5):e98028. doi: 10.1371/journal.pone.0098028. eCollection 2014. |
| 23743540 | Background | Bastin AJ, Ostermann M, Slack AJ, Diller GP, Finney SJ, Evans TW. Acute kidney injury after cardiac surgery according to Risk/Injury/Failure/Loss/End-stage, Acute Kidney Injury Network, and Kidney Disease: Improving Global Outcomes classifications. J Crit Care. 2013 Aug;28(4):389-96. doi: 10.1016/j.jcrc.2012.12.008. Epub 2013 Jun 3. |
| 35695764 | Background | Khanna AK, Rola P, Malbrain MLNG. Biomarkers for intra-abdominal pressure: another tool in the toolbox? Eur Heart J Acute Cardiovasc Care. 2022 Jun 22;11(6):461-463. doi: 10.1093/ehjacc/zuac073. No abstract available. |
| 37960507 | Background | Tayebi S, McKinney T, McKinney C, Delvadia D, Levine MA, Spofford ES Jr, Malbrain L, Stiens J, Dabrowski W, Malbrain MLNG. Evaluation of the TraumaGuard Balloon-in-Balloon Catheter Design for Intra-Abdominal Pressure Monitoring: Insights from Pig and Human Cadaver Studies. Sensors (Basel). 2023 Oct 29;23(21):8806. doi: 10.3390/s23218806. |
| 36013340 | Background | Tayebi S, Wise R, Pourkazemi A, Stiens J, Malbrain MLNG. Pre-Clinical Validation of A Novel Continuous Intra-Abdominal Pressure Measurement Equipment (SERENNO). Life (Basel). 2022 Jul 30;12(8):1161. doi: 10.3390/life12081161. |
| 35925322 | Background | Malbrain MLNG, De Keulenaer BL, Khanna AK. Continuous intra-abdominal pressure: is it ready for prime time? Intensive Care Med. 2022 Oct;48(10):1501-1504. doi: 10.1007/s00134-022-06780-4. Epub 2022 Aug 4. No abstract available. |
| 15809871 | Background | De Potter TJ, Dits H, Malbrain ML. Intra- and interobserver variability during in vitro validation of two novel methods for intra-abdominal pressure monitoring. Intensive Care Med. 2005 May;31(5):747-51. doi: 10.1007/s00134-005-2597-1. Epub 2005 Apr 5. |
| 18075730 | Background | Malbrain ML, De laet I, Viaene D, Schoonheydt K, Dits H. In vitro validation of a novel method for continuous intra-abdominal pressure monitoring. Intensive Care Med. 2008 Apr;34(4):740-5. doi: 10.1007/s00134-007-0952-0. Epub 2007 Dec 13. |
| 14730376 | Background | Malbrain ML. Different techniques to measure intra-abdominal pressure (IAP): time for a critical re-appraisal. Intensive Care Med. 2004 Mar;30(3):357-71. doi: 10.1007/s00134-003-2107-2. Epub 2004 Jan 17. |
| 17072275 | Background | Czajkowski M, Dabrowski W. Changes in intra-abdominal pressure during CABG with normovolemic hemodilution. Med Sci Monit. 2006 Nov;12(11):CR487-92. |
| 36550345 | Background | Dabrowski W, Rola P, Malbrain MLNG. Intra-abdominal pressure monitoring in cardiac surgery: is this the canary in the coalmine for kidney injury? J Clin Monit Comput. 2023 Apr;37(2):351-358. doi: 10.1007/s10877-022-00933-y. Epub 2022 Dec 22. No abstract available. |
| 38997752 | Background | Moll V, Khanna AK, Kurz A, Huang J, Smit M, Swaminathan M, Minear S, Parr KG, Prabhakar A, Zhao M, Malbrain MLNG. Optimization of kidney function in cardiac surgery patients with intra-abdominal hypertension: expert opinion. Perioper Med (Lond). 2024 Jul 12;13(1):72. doi: 10.1186/s13741-024-00416-5. |
| 35695943 | Background | Khanna AK, Minear S, Kurz A, Moll V, Stanton K, Essakalli L, Prabhakar A; Predict AKI Group. Intra-abdominal hypertension in cardiac surgery patients: a multicenter observational sub-study of the Accuryn registry. J Clin Monit Comput. 2023 Feb;37(1):189-199. doi: 10.1007/s10877-022-00878-2. Epub 2022 Jun 13. |
| 10702030 | Background | Malbrain ML. Abdominal pressure in the critically ill: measurement and clinical relevance. Intensive Care Med. 1999 Dec;25(12):1453-8. doi: 10.1007/s001340051098. No abstract available. |
| 30608280 | Background | Reintam Blaser A, Regli A, De Keulenaer B, Kimball EJ, Starkopf L, Davis WA, Greiffenstein P, Starkopf J; Incidence, Risk Factors, and Outcomes of Intra-Abdominal (IROI) Study Investigators. Incidence, Risk Factors, and Outcomes of Intra-Abdominal Hypertension in Critically Ill Patients-A Prospective Multicenter Study (IROI Study). Crit Care Med. 2019 Apr;47(4):535-542. doi: 10.1097/CCM.0000000000003623. |
| 26588479 | Background | Wise R, Jacobs J, Pilate S, Jacobs A, Peeters Y, Vandervelden S, Van Regenmortel N, De Laet I, Schoonheydt K, Dits H, Malbrain ML. Incidence and prognosis of intra-abdominal hypertension and abdominal compartment syndrome in severely burned patients: Pilot study and review of the literature. Anaesthesiol Intensive Ther. 2016;48(2):95-109. doi: 10.5603/AIT.a2015.0083. Epub 2015 Nov 20. |
| 15699833 | Background | Malbrain ML, Chiumello D, Pelosi P, Bihari D, Innes R, Ranieri VM, Del Turco M, Wilmer A, Brienza N, Malcangi V, Cohen J, Japiassu A, De Keulenaer BL, Daelemans R, Jacquet L, Laterre PF, Frank G, de Souza P, Cesana B, Gattinoni L. Incidence and prognosis of intraabdominal hypertension in a mixed population of critically ill patients: a multiple-center epidemiological study. Crit Care Med. 2005 Feb;33(2):315-22. doi: 10.1097/01.ccm.0000153408.09806.1b. |
| 18625051 | Background | Reintam A, Parm P, Kitus R, Starkopf J, Kern H. Gastrointestinal failure score in critically ill patients: a prospective observational study. Crit Care. 2008;12(4):R90. doi: 10.1186/cc6958. Epub 2008 Jul 14. |
| 7473918 | Background | Bongard F, Pianim N, Dubecz S, Klein SR. Adverse consequences of increased intra-abdominal pressure on bowel tissue oxygen. J Trauma. 1995 Sep;39(3):519-24; discussion 524-5. doi: 10.1097/00005373-199509000-00020. |
| 1635105 | Background | Diebel LN, Dulchavsky SA, Wilson RF. Effect of increased intra-abdominal pressure on mesenteric arterial and intestinal mucosal blood flow. J Trauma. 1992 Jul;33(1):45-8; discussion 48-9. doi: 10.1097/00005373-199207000-00010. |
| 9390500 | Background | Diebel LN, Dulchavsky SA, Brown WJ. Splanchnic ischemia and bacterial translocation in the abdominal compartment syndrome. J Trauma. 1997 Nov;43(5):852-5. doi: 10.1097/00005373-199711000-00019. |
| 23282242 | Background | Malbrain ML, Viaene D, Kortgen A, De Laet I, Dits H, Van Regenmortel N, Schoonheydt K, Bauer M. Relationship between intra-abdominal pressure and indocyanine green plasma disappearance rate: hepatic perfusion may be impaired in critically ill patients with intra-abdominal hypertension. Ann Intensive Care. 2012 Dec 20;2 Suppl 1(Suppl 1):S19. doi: 10.1186/2110-5820-2-S1-S19. Epub 2012 Dec 20. |
| 24881707 | Background | Cresswell AB, Wendon JA. Hepatic function and non-invasive hepatosplanchnic monitoring in patients with abdominal hypertension. Acta Clin Belg. 2007;62 Suppl 1:113-8. doi: 10.1179/acb.2007.62.s1.014. |
| 21184922 | Background | De Waele JJ, De Laet I, Kirkpatrick AW, Hoste E. Intra-abdominal Hypertension and Abdominal Compartment Syndrome. Am J Kidney Dis. 2011 Jan;57(1):159-69. doi: 10.1053/j.ajkd.2010.08.034. |
| 24881708 | Background | De Laet I, Malbrain ML, Jadoul JL, Rogiers P, Sugrue M. Renal implications of increased intra-abdominal pressure: are the kidneys the canary for abdominal hypertension? Acta Clin Belg. 2007;62 Suppl 1:119-30. doi: 10.1179/acb.2007.62.s1.015. |
| 31025221 | Background | Regli A, Pelosi P, Malbrain MLNG. Ventilation in patients with intra-abdominal hypertension: what every critical care physician needs to know. Ann Intensive Care. 2019 Apr 25;9(1):52. doi: 10.1186/s13613-019-0522-y. |
| 17469705 | Background | Pelosi P, Quintel M, Malbrain ML. Effect of intra-abdominal pressure on respiratory mechanics. Acta Clin Belg. 2007;62 Suppl 1:78-88. |
| 24881705 | Background | De Laet I, Citerio G, Malbrain ML. The influence of intra-abdominal hypertension on the central nervous system: current insights and clinical recommendations, is it all in the head? Acta Clin Belg. 2007;62 Suppl 1:89-97. doi: 10.1179/acb.2007.62.s1.012. |
| 25973663 | Background | Malbrain ML, De Waele JJ, De Keulenaer BL. What every ICU clinician needs to know about the cardiovascular effects caused by abdominal hypertension. Anaesthesiol Intensive Ther. 2015;47(4):388-99. doi: 10.5603/AIT.a2015.0028. Epub 2015 May 14. |
| 17469707 | Background | Cheatham ML, Malbrain ML. Cardiovascular implications of abdominal compartment syndrome. Acta Clin Belg. 2007;62 Suppl 1:98-112. |
| 24336093 | Background | Malbrain ML, Chiumello D, Cesana BM, Reintam Blaser A, Starkopf J, Sugrue M, Pelosi P, Severgnini P, Hernandez G, Brienza N, Kirkpatrick AW, Schachtrupp A, Kempchen J, Estenssoro E, Vidal MG, De Laet I, De Keulenaer BL. A Systematic Review And Individual Patient Data Meta-Analysis On Intraabdominal Hypertension In Critically Ill Patients: The Wake-Up Project World Initiative on Abdominal Hypertension Epidemiology, a Unifying Project (WAKE-Up!). Minerva Anestesiol. 2013 Dec 12. Online ahead of print. |
| 15075724 | Background | Malbrain ML. Is it wise not to think about intraabdominal hypertension in the ICU? Curr Opin Crit Care. 2004 Apr;10(2):132-45. doi: 10.1097/00075198-200404000-00010. |
| 23673399 | Background | Kirkpatrick AW, Roberts DJ, De Waele J, Jaeschke R, Malbrain ML, De Keulenaer B, Duchesne J, Bjorck M, Leppaniemi A, Ejike JC, Sugrue M, Cheatham M, Ivatury R, Ball CG, Reintam Blaser A, Regli A, Balogh ZJ, D'Amours S, Debergh D, Kaplan M, Kimball E, Olvera C; Pediatric Guidelines Sub-Committee for the World Society of the Abdominal Compartment Syndrome. Intra-abdominal hypertension and the abdominal compartment syndrome: updated consensus definitions and clinical practice guidelines from the World Society of the Abdominal Compartment Syndrome. Intensive Care Med. 2013 Jul;39(7):1190-206. doi: 10.1007/s00134-013-2906-z. Epub 2013 May 15. |
| D005261 |
| Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D052801 | Male Urogenital Diseases |