Acute Kidney InjuryNCT03880110
Early Prediction of Acute Kidney Injury in High Risk Patients After Non-cardiac Surgery
An observational study of Acute Kidney Injury, run by Peking University First Hospital at 1 site in China.
Trial summary
Acute kidney injury (AKI) is a common complication after non-cardiac surgery with adverse short and long term morbidity and mortality. So far there have been no effective therapy for AKI treatment developed, possibly due to the heterogenicity of this syndrome. Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Acute Kidney Injury
- How many people
- 1,000 participants
- Where
- 1 siteChina
- Study dates
- 20 May 2019to 30 Nov 2021
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: High risk patients undergoing non-cardiac surgery
Who may be able to join
- Age ≥ 18 years; Undergoing non-cardiac surgery; Admitted to SICU immediately after surgery
Who cannot join
- Chronic kidney disease stage 5 (CKD-5) or requiring long-term dialysis; Undergoing kidney-related surgery; AKI before admission to SICU; Without Foley catheter placement ;Written informed consent not obtained
Trial locations and contacts
1 site in 1 country.
China1 site, 1 recruiting
- Recruiting
Peking University First Hospital
Beijing, Beijing Municipality, 010
Shuangling Li, +861083575263, lishuangling888@hotmail.com
About this study
Official title: Combination of Biomarkers, Urine Sedimentation and Renal Resistive Index for Early Prediction of Acute Kidney Injury in High Risk Patients After Non-cardiac Surgery: a Prospective Observational Cohort Study
Acute kidney injury (AKI) is a common complication after non-cardiac surgery with adverse short and long term morbidity and mortality. So far there have been no effective therapy for AKI treatment developed, possibly due to the heterogenicity of this syndrome. Therefore, prevention of AKI in high risk patients undergoing non-cardiac surgery, as emphasized by Kidney Disease Improving Global Outcomes (KDIGO), becomes the first priority. However, early prediction of AKI is the first step before taking preventive measures, which really make a great challenge to clinical practitioners because of such a limited time window and complex clinical scenarios. Recently, cumulative evidence have shown that biomarkers and renal ultrasound may play an important role in AKI prediction after non-cardiac surgery. The purpose of this study is to investigate the combination of biomarkers, urine sedimentation and renal resistive index for early prediction of AKI in high risk patients undergoing non-cardiac surgery.
Read the detailed description
Early prediction of AKI have long been a study hotspot. Various clinical prediction models, biomarkers, urine sedimentation scores and imaging tools are developed and validated in different clinical settings mainly focusing on contrast associated AKI, durg induced AKI and cardiac surgery associated AKI. Due to the heterogenicity of this syndrome, one parameter which fits all patients for prediction of AKI dose not possibly exist. As a result, searching for combination parameters that can well predict AKI after non-cardiac surgery become the first priority for prevention of AKI. Evidence in non-cardiac surgery population have been gradually accumulated in recent years. Biomarkers for G1 cell cycle arrest, e.g. tissue inhibitor of metalloproteinase-2 (TIMP-2) and insulin like growth factor binding protein-7 (IGFBP-7), have demonstrated robust predictive performance in high risk surgical patients. Renal resistive index as calculated by ultrasound have also showed its validity in AKI prediction in patients following orthopedic surgery. Hence, the investigators make an assumption that combination of biomarkers, urine sedimentation and renal resistive index may improve the predictive value of AKI after non-cardiac surgery. The purpose of this study is to investigate the combination of biomarkers, urine sedimentation and renal resistive index for early prediction of AKI in high risk patients undergoing non-cardiac surgery.
Adult patients undergoing non-cardiac surgery and then admitting to surgical intensive care unit (SICU) will be immediately screened for this study. After enrollment, blood and urine samples, in addition to clinical routine tests, will be collected for the tests of biomarkers and urine sedimentation, such as serum creatinine, TIMP-2, IGFBP-7, α-1 microglobulin, microalbumin, transferrin, granular cast and so on. Meanwhile, central venous pressure (CVP) will be measured by primary nurse. If the patients were enrolled at daytime between 8:00-16:00, experienced intensivists will also calculate the renal resistive index (RI) by ultrasound. Urine samples will be collected again for storage after 6 and 12 hours admitting to SICU, at which time urine sedimentation and CVP will be repeatedly measured at the discretion of physician in-charge. AKI is monitored by serum creatinine daily in SICU and on demand in general wards, and by urine output (UO) every 3 hours in SICU. Patients will be followed up for postoperative complications, renal recovery, survival, SICU/in hospital stay and total cost until the first thing that happens: discharge/death, 30d after operation or withdrawing the study. Perioperative data will be recorded by specialized researchers.
- Conditions
- Acute Kidney Injury
- Keywords
- Acute Kidney Injury, Early prediction, Non cardiac surgery, Biomarker, Urine sedimentation, Renal resistive index
- Medical subject headings
- Acute Kidney Injury
What is being measured
The primary outcome is the main question the study is designed to answer.
Incidence of acute kidney injury within 7 days after surgery
AKI is diagnosed according to KDIGO criteria
Measured: within 7 days after surgery
Secondary outcomes (6)
Severity of acute kidney injury within 7 days after surgery
AKI is classified according to KDIGO criteria
Measured: within 7 days after surgery
Incidence of postoperative complications
Defined as newly onset medical conditions that are harmful to patients' recovery and required therapeutic intervention, including pulmonary infection, pleural effusion, atelectasis, respiratory failure, surgical bleeding, new onset arrhythmia, acute myocardial infarction, congestive heart failure, stroke, ileus, liver injury, digestive tract bleeding, wound infection, urinary tract infection, severe sepsis, acute kidney injury, pulmonary embolism and deep venous thrombosis.
Measured: 30 days after operation or withdrawing the study ( the first thing that happens: discharge/death)
Rate of ICU or in-hospital mortality
ICU/In-hospital mortality
Measured: 30 days after operation or withdrawing the study ( the first thing that happens: discharge/death)
Rate of dialysis dependent at discharge
Defined as requiring any modality of renal replacement therapy at discharge
Measured: Until the first thing that happens: discharge/death, 30 days after operation or withdrawing the study.
Rate of continuous decreased kidney function at discharge
Estimated glomerular filtration rate (eGFR) decreased more than 25% of baseline value at discharge
Measured: 30 days after operation or withdrawing the study ( the first thing that happens: discharge/death)
Rate of major adverse kidney events (MAKE)
Defined as a composite of death, dialysis dependent or continuous decreased kidney function
Measured: 30 days after operation or withdrawing the study ( the first thing that happens: discharge/death)
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted19 Mar 2019
- Study start20 May 2019
- Primary completion31 Oct 2021 (estimated)
- Study completion30 Nov 2021 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (12)Papers the sponsor has linked to this study.
- Other trials for Acute Kidney InjuryStudies of the same condition, open and under way.
- More trials run by Peking University First HospitalThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 1,000 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Peking University First Hospital
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Li Yang, Peking University First Hospital
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT03880110
- Sponsor's protocol ID
- Early predicting AKI
- Status last verified
- Jun 2021
- First submitted
- 13 Mar 2019
- Last updated
- 30 Jun 2021
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Grams ME, Sang Y, Coresh J, Ballew S, Matsushita K, Molnar MZ, Szabo Z, Kalantar-Zadeh K, Kovesdy CP. Acute Kidney Injury After Major Surgery: A Retrospective Analysis of Veterans Health Administration Data. Am J Kidney Dis. 2016 Jun;67(6):872-80. doi: 10.1053/j.ajkd.2015.07.022. Epub 2015 Sep 1.
PubMed 26337133Kashani K, Cheungpasitporn W, Ronco C. Biomarkers of acute kidney injury: the pathway from discovery to clinical adoption. Clin Chem Lab Med. 2017 Jul 26;55(8):1074-1089. doi: 10.1515/cclm-2016-0973.
PubMed 28076311Kashani K, Al-Khafaji A, Ardiles T, Artigas A, Bagshaw SM, Bell M, Bihorac A, Birkhahn R, Cely CM, Chawla LS, Davison DL, Feldkamp T, Forni LG, Gong MN, Gunnerson KJ, Haase M, Hackett J, Honore PM, Hoste EA, Joannes-Boyau O, Joannidis M, Kim P, Koyner JL, Laskowitz DT, Lissauer ME, Marx G, McCullough PA, Mullaney S, Ostermann M, Rimmele T, Shapiro NI, Shaw AD, Shi J, Sprague AM, Vincent JL, Vinsonneau C, Wagner L, Walker MG, Wilkerson RG, Zacharowski K, Kellum JA. Discovery and validation of cell cycle arrest biomarkers in human acute kidney injury. Crit Care. 2013 Feb 6;17(1):R25. doi: 10.1186/cc12503.
PubMed 23388612Bihorac A, Chawla LS, Shaw AD, Al-Khafaji A, Davison DL, Demuth GE, Fitzgerald R, Gong MN, Graham DD, Gunnerson K, Heung M, Jortani S, Kleerup E, Koyner JL, Krell K, Letourneau J, Lissauer M, Miner J, Nguyen HB, Ortega LM, Self WH, Sellman R, Shi J, Straseski J, Szalados JE, Wilber ST, Walker MG, Wilson J, Wunderink R, Zimmerman J, Kellum JA. Validation of cell-cycle arrest biomarkers for acute kidney injury using clinical adjudication. Am J Respir Crit Care Med. 2014 Apr 15;189(8):932-9. doi: 10.1164/rccm.201401-0077OC.
PubMed 24559465Gocze I, Koch M, Renner P, Zeman F, Graf BM, Dahlke MH, Nerlich M, Schlitt HJ, Kellum JA, Bein T. Urinary biomarkers TIMP-2 and IGFBP7 early predict acute kidney injury after major surgery. PLoS One. 2015 Mar 23;10(3):e0120863. doi: 10.1371/journal.pone.0120863. eCollection 2015.
PubMed 25798585Gunnerson KJ, Shaw AD, Chawla LS, Bihorac A, Al-Khafaji A, Kashani K, Lissauer M, Shi J, Walker MG, Kellum JA; Sapphire Topaz investigators. TIMP2*IGFBP7 biomarker panel accurately predicts acute kidney injury in high-risk surgical patients. J Trauma Acute Care Surg. 2016 Feb;80(2):243-9. doi: 10.1097/TA.0000000000000912.
PubMed 26816218Perazella MA. The urine sediment as a biomarker of kidney disease. Am J Kidney Dis. 2015 Nov;66(5):748-55. doi: 10.1053/j.ajkd.2015.02.342. Epub 2015 May 2.
PubMed 25943719Becker GJ, Garigali G, Fogazzi GB. Advances in Urine Microscopy. Am J Kidney Dis. 2016 Jun;67(6):954-64. doi: 10.1053/j.ajkd.2015.11.011. Epub 2016 Jan 22.
PubMed 26806004Marty P, Ferre F, Labaste F, Jacques L, Luzi A, Conil JM, Silva S, Minville V. The Doppler renal resistive index for early detection of acute kidney injury after hip fracture. Anaesth Crit Care Pain Med. 2016 Dec;35(6):377-382. doi: 10.1016/j.accpm.2015.12.013. Epub 2016 Apr 28.
PubMed 27133237Marty P, Szatjnic S, Ferre F, Conil JM, Mayeur N, Fourcade O, Silva S, Minville V. Doppler renal resistive index for early detection of acute kidney injury after major orthopaedic surgery: a prospective observational study. Eur J Anaesthesiol. 2015 Jan;32(1):37-43. doi: 10.1097/EJA.0000000000000120.
PubMed 25014511Li N, Wang J, Zhou W, Li S, Yang L. External Validation of the Simple Postoperative Acute Kidney Injury Risk Index in Patients Admitted to the Intensive Care Unit After Noncardiac Surgery. Anesth Analg. 2025 May 1;140(5):1140-1148. doi: 10.1213/ANE.0000000000007320.
PubMed 39919018Li N, Zhou WJ, Chi DX, Yuan C, Xie M, Li Z, Wang R, Qu CX, Li XY, Li SL, Yang L. Association between urine microscopy and severe acute kidney injury in critically ill patients following non-cardiac surgery: a prospective cohort study. Ann Palliat Med. 2022 Jul;11(7):2327-2337. doi: 10.21037/apm-21-3085. Epub 2022 May 19.
PubMed 35610195
Study at a glance
From the registry record, last updated by the sponsor on 30 Jun 2021. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Combination of Biomarkers, Urine Sedimentation and Renal Resistive Index for Early Prediction of Acute Kidney Injury in High Risk Patients After Non-cardiac Surgery: a Prospective Observational Cohort Study
- ClinicalTrials.gov ID
- NCT03880110
- Acronym / sponsor ID
- Early predicting AKI
- Conditions
- Acute Kidney Injury
- Keywords
- Acute Kidney Injury, Early prediction, Non cardiac surgery, Biomarker, Urine sedimentation, Renal resistive index
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 1,000 participants (estimated)
- Lead sponsor
- Peking University First HospitalUniversity, hospital or other
- Study start
- 20 May 2019 (actual)
- Primary completion
- 31 Oct 2021 (estimated)
- Study completion
- 30 Nov 2021 (estimated)
- First posted
- 19 Mar 2019 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Acute kidney injury (AKI) is a common complication after non-cardiac surgery with adverse short and long term morbidity and mortality. So far there have been no effective therapy for AKI treatment developed, possibly due to the heterogenicity of this syndrome. Therefore, prevention of AKI in high risk patients undergoing non-cardiac surgery, as emphasized by Kidney Disease Improving Global Outcomes (KDIGO), becomes the first priority. However, early prediction of AKI is the first step before taking preventive measures, which really make a great challenge to clinical practitioners because of such a limited time window and complex clinical scenarios. Recently, cumulative evidence have shown that biomarkers and renal ultrasound may play an important role in AKI prediction after non-cardiac surgery. The purpose of this study is to investigate the combination of biomarkers, urine sedimentation and renal resistive index for early prediction of AKI in high risk patients undergoing non-cardiac surgery.
Detailed description
Early prediction of AKI have long been a study hotspot. Various clinical prediction models, biomarkers, urine sedimentation scores and imaging tools are developed and validated in different clinical settings mainly focusing on contrast associated AKI, durg induced AKI and cardiac surgery associated AKI. Due to the heterogenicity of this syndrome, one parameter which fits all patients for prediction of AKI dose not possibly exist. As a result, searching for combination parameters that can well predict AKI after non-cardiac surgery become the first priority for prevention of AKI. Evidence in non-cardiac surgery population have been gradually accumulated in recent years. Biomarkers for G1 cell cycle arrest, e.g. tissue inhibitor of metalloproteinase-2 (TIMP-2) and insulin like growth factor binding protein-7 (IGFBP-7), have demonstrated robust predictive performance in high risk surgical patients. Renal resistive index as calculated by ultrasound have also showed its validity in AKI prediction in patients following orthopedic surgery. Hence, the investigators make an assumption that combination of biomarkers, urine sedimentation and renal resistive index may improve the predictive value of AKI after non-cardiac surgery. The purpose of this study is to investigate the combination of biomarkers, urine sedimentation and renal resistive index for early prediction of AKI in high risk patients undergoing non-cardiac surgery.
Adult patients undergoing non-cardiac surgery and then admitting to surgical intensive care unit (SICU) will be immediately screened for this study. After enrollment, blood and urine samples, in addition to clinical routine tests, will be collected for the tests of biomarkers and urine sedimentation, such as serum creatinine, TIMP-2, IGFBP-7, α-1 microglobulin, microalbumin, transferrin, granular cast and so on. Meanwhile, central venous pressure (CVP) will be measured by primary nurse. If the patients were enrolled at daytime between 8:00-16:00, experienced intensivists will also calculate the renal resistive index (RI) by ultrasound. Urine samples will be collected again for storage after 6 and 12 hours admitting to SICU, at which time urine sedimentation and CVP will be repeatedly measured at the discretion of physician in-charge. AKI is monitored by serum creatinine daily in SICU and on demand in general wards, and by urine output (UO) every 3 hours in SICU. Patients will be followed up for postoperative complications, renal recovery, survival, SICU/in hospital stay and total cost until the first thing that happens: discharge/death, 30d after operation or withdrawing the study. Perioperative data will be recorded by specialized researchers.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- High risk patients undergoing non-cardiac surgery
Key inclusion criteria (1 listed)
- Age ≥ 18 years; Undergoing non-cardiac surgery; Admitted to SICU immediately after surgery
Key exclusion criteria (1 listed)
- Chronic kidney disease stage 5 (CKD-5) or requiring long-term dialysis; Undergoing kidney-related surgery; AKI before admission to SICU; Without Foley catheter placement ;Written informed consent not obtained
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Incidence of acute kidney injury within 7 days after surgery
Time frame: within 7 days after surgery
AKI is diagnosed according to KDIGO criteria
6 secondary outcomes
Severity of acute kidney injury within 7 days after surgery
Time frame: within 7 days after surgery
Incidence of postoperative complications
Time frame: 30 days after operation or withdrawing the study ( the first thing that happens: discharge/death)
Rate of ICU or in-hospital mortality
Time frame: 30 days after operation or withdrawing the study ( the first thing that happens: discharge/death)
Rate of dialysis dependent at discharge
Time frame: Until the first thing that happens: discharge/death, 30 days after operation or withdrawing the study.
Rate of continuous decreased kidney function at discharge
Time frame: 30 days after operation or withdrawing the study ( the first thing that happens: discharge/death)
Rate of major adverse kidney events (MAKE)
Time frame: 30 days after operation or withdrawing the study ( the first thing that happens: discharge/death)
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 30 Jun 2021.
- Background: PubMed 26337133Grams ME, Sang Y, Coresh J, Ballew S, Matsushita K, Molnar MZ, Szabo Z, Kalantar-Zadeh K, Kovesdy CP. Acute Kidney Injury After Major Surgery: A Retrospective Analysis of Veterans Health Administration Data. Am J Kidney Dis. 2016 Jun;67(6):872-80. doi: 10.1053/j.ajkd.2015.07.022. Epub 2015 Sep 1.
- Background: PubMed 28076311Kashani K, Cheungpasitporn W, Ronco C. Biomarkers of acute kidney injury: the pathway from discovery to clinical adoption. Clin Chem Lab Med. 2017 Jul 26;55(8):1074-1089. doi: 10.1515/cclm-2016-0973.
- Background: PubMed 23388612Kashani K, Al-Khafaji A, Ardiles T, Artigas A, Bagshaw SM, Bell M, Bihorac A, Birkhahn R, Cely CM, Chawla LS, Davison DL, Feldkamp T, Forni LG, Gong MN, Gunnerson KJ, Haase M, Hackett J, Honore PM, Hoste EA, Joannes-Boyau O, Joannidis M, Kim P, Koyner JL, Laskowitz DT, Lissauer ME, Marx G, McCullough PA, Mullaney S, Ostermann M, Rimmele T, Shapiro NI, Shaw AD, Shi J, Sprague AM, Vincent JL, Vinsonneau C, Wagner L, Walker MG, Wilkerson RG, Zacharowski K, Kellum JA. Discovery and validation of cell cycle arrest biomarkers in human acute kidney injury. Crit Care. 2013 Feb 6;17(1):R25. doi: 10.1186/cc12503.
- Background: PubMed 24559465Bihorac A, Chawla LS, Shaw AD, Al-Khafaji A, Davison DL, Demuth GE, Fitzgerald R, Gong MN, Graham DD, Gunnerson K, Heung M, Jortani S, Kleerup E, Koyner JL, Krell K, Letourneau J, Lissauer M, Miner J, Nguyen HB, Ortega LM, Self WH, Sellman R, Shi J, Straseski J, Szalados JE, Wilber ST, Walker MG, Wilson J, Wunderink R, Zimmerman J, Kellum JA. Validation of cell-cycle arrest biomarkers for acute kidney injury using clinical adjudication. Am J Respir Crit Care Med. 2014 Apr 15;189(8):932-9. doi: 10.1164/rccm.201401-0077OC.
- Background: PubMed 25798585Gocze I, Koch M, Renner P, Zeman F, Graf BM, Dahlke MH, Nerlich M, Schlitt HJ, Kellum JA, Bein T. Urinary biomarkers TIMP-2 and IGFBP7 early predict acute kidney injury after major surgery. PLoS One. 2015 Mar 23;10(3):e0120863. doi: 10.1371/journal.pone.0120863. eCollection 2015.
- Background: PubMed 26816218Gunnerson KJ, Shaw AD, Chawla LS, Bihorac A, Al-Khafaji A, Kashani K, Lissauer M, Shi J, Walker MG, Kellum JA; Sapphire Topaz investigators. TIMP2*IGFBP7 biomarker panel accurately predicts acute kidney injury in high-risk surgical patients. J Trauma Acute Care Surg. 2016 Feb;80(2):243-9. doi: 10.1097/TA.0000000000000912.
- Background: PubMed 25943719Perazella MA. The urine sediment as a biomarker of kidney disease. Am J Kidney Dis. 2015 Nov;66(5):748-55. doi: 10.1053/j.ajkd.2015.02.342. Epub 2015 May 2.
- Background: PubMed 26806004Becker GJ, Garigali G, Fogazzi GB. Advances in Urine Microscopy. Am J Kidney Dis. 2016 Jun;67(6):954-64. doi: 10.1053/j.ajkd.2015.11.011. Epub 2016 Jan 22.
- Background: PubMed 27133237Marty P, Ferre F, Labaste F, Jacques L, Luzi A, Conil JM, Silva S, Minville V. The Doppler renal resistive index for early detection of acute kidney injury after hip fracture. Anaesth Crit Care Pain Med. 2016 Dec;35(6):377-382. doi: 10.1016/j.accpm.2015.12.013. Epub 2016 Apr 28.
- Background: PubMed 25014511Marty P, Szatjnic S, Ferre F, Conil JM, Mayeur N, Fourcade O, Silva S, Minville V. Doppler renal resistive index for early detection of acute kidney injury after major orthopaedic surgery: a prospective observational study. Eur J Anaesthesiol. 2015 Jan;32(1):37-43. doi: 10.1097/EJA.0000000000000120.
- Derived from this study: PubMed 39919018Li N, Wang J, Zhou W, Li S, Yang L. External Validation of the Simple Postoperative Acute Kidney Injury Risk Index in Patients Admitted to the Intensive Care Unit After Noncardiac Surgery. Anesth Analg. 2025 May 1;140(5):1140-1148. doi: 10.1213/ANE.0000000000007320.
- Derived from this study: PubMed 35610195Li N, Zhou WJ, Chi DX, Yuan C, Xie M, Li Z, Wang R, Qu CX, Li XY, Li SL, Yang L. Association between urine microscopy and severe acute kidney injury in critically ill patients following non-cardiac surgery: a prospective cohort study. Ann Palliat Med. 2022 Jul;11(7):2327-2337. doi: 10.21037/apm-21-3085. Epub 2022 May 19.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Acute Kidney Injury, run by Peking University First Hospital at 1 site in China.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 30 Jun 2021. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
Contact Shuangling Li, MD (+861083575263, lishuangling888@hotmail.com), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Incidence of acute kidney injury within 7 days after surgery (time frame: within 7 days after surgery). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT03880110, which also lists 12 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 30 Jun 2021.