- ICH GCP
- Registro degli studi clinici negli Stati Uniti
- Sperimentazione clinica NCT07604662
Real-Time Acute Kidney Injury Perioperative Prediction Clinical Trial (ML-AKI)
19 maggio 2026 aggiornato da: University of California, San Francisco
Prediction of Acute Kidney Injury (AKI) After Surgery: A Pragmatic Three-Arm Cluster-Randomized Trial
This investigator-initiated, pragmatic trial evaluates whether displaying a machine learning (ML)- derived perioperative AKI risk score-alone or paired with an interruptive Best/Our Practice Advisory (BPA/OPA)-improves kidney-protective care and reduces kidney injury after non-obstetric surgery at UCSF.
Approximately 75-100 attending anesthesiologists (clusters) are randomized 1:1:1 to: (a) Control (risk score hidden), (b) Score Only (visible preoperative AKI risk probability with passive KDIGO bundle recommendation), or (c) Score + BPA (visible risk plus interruptive KDIGO prompt for high-risk patients).
CRNAs/residents follow their attending' s assignment.
Adult inpatients (age ≥18) with expected overnight stay and eGFR ≥15 mL/min/1.73
m² are included; obstetrics, chronic dialysis, and kidney transplant patients are excluded.
The underlying preoperative model was prospectively validated at UCSF and outperforms anesthesiologist risk estimation reported in the literature.
The model was reviewed and approved by the AI Oversight Committee at UCSF.
Primary endpoint is the continuous change in serum creatinine (mg/dL) from baseline to POD 1-2.
Secondary outcomes include KDIGO-defined AKI, adherence to bundle elements (hemodynamics, balanced fluids, nephrotoxin avoidance, glycemic control), intraoperative hypotension time, fluid volumes, nephrotoxin exposure, perioperative hyperglycemia, length of stay, unplanned ICU transfer, readmission, dialysis, and in-hospital mortality.
Data are obtained from the EHR; analysts are blinded.
No direct subject interaction is planned; the investigators will request a waiver of patient consent.
The study aims to demonstrate that ML-enabled, workflow-embedded decision support can safely and feasibly improve guideline concordant care and decrease early postoperative kidney injury.
Panoramica dello studio
Stato
Non ancora reclutamento
Condizioni
Tipo di studio
Interventistico
Iscrizione (Stimato)
25518
Fase
- Non applicabile
Contatti e Sedi
Questa sezione fornisce i recapiti di coloro che conducono lo studio e informazioni su dove viene condotto lo studio.
Contatto studio
- Nome: Andrew Bishara, MD
- Numero di telefono: 415-502-5880
- Email: andrew.bishara@ucsf.edu
Luoghi di studio
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California
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San Francisco, California, Stati Uniti, 94158
- University of California, San Francisco
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Criteri di partecipazione
I ricercatori cercano persone che corrispondano a una certa descrizione, chiamata criteri di ammissibilità. Alcuni esempi di questi criteri sono le condizioni generali di salute di una persona o trattamenti precedenti.
Criteri di ammissibilità
Età idonea allo studio
- Adulto
- Adulto più anziano
Accetta volontari sani
Sì
Descrizione
Inclusion Criteria:
- Adults ≥18 years undergoing non-obstetric surgery at UCSF.
- Inpatient cases with expected overnight stay.
- Baseline eGFR ≥15 mL/min/1.73 m².
- Managed by an attending anesthesiologist randomized to one of three arms (CRNAs/residents follow attending).
- Data available in the UCSF EHR for risk scoring and outcomes.
Exclusion Criteria:
- Obstetric procedures.
- Chronic dialysis patients.
- Kidney transplant recipients.
- Cases without baseline creatinine/eGFR or missing essential EHR elements needed for scoring/outcomes (operational exclusions).
- Outpatient procedures without expected overnight stay.
Piano di studio
Questa sezione fornisce i dettagli del piano di studio, compreso il modo in cui lo studio è progettato e ciò che lo studio sta misurando.
Come è strutturato lo studio?
Dettagli di progettazione
- Scopo principale: Selezione
- Assegnazione: Randomizzato
- Modello interventistico: Assegnazione parallela
- Mascheramento: Nessuno (etichetta aperta)
Armi e interventi
Gruppo di partecipanti / Arm |
Intervento / Trattamento |
|---|---|
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Nessun intervento: Control Arm
Participants receive usual perioperative care with a placeholder blank display without the machine learning-derived acute kidney injury (AKI) risk score.
The clinical decision support tool remains hidden in the electronic health record, and no alerts or recommendations related to the study are shown.
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Sperimentale: Acute Kidney Injury Risk Score Only
A machine learning-derived preoperative AKI risk score is displayed within the electronic health record for high-risk patients.
A passive recommendation indicating that the patient may benefit from a KDIGO-based kidney-protective bundle is provided.
The information is advisory only, and no interruptive alerts are used.
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A non-adaptive, machine learning-based clinical decision support tool integrated into the electronic health record that generates a preoperative probability of acute kidney injury (AKI) using routinely collected patient data.
For patients identified as high risk, the tool displays the risk estimate to anesthesia providers without an accompanying Best Practice Advisory (BPA) recommending consideration of a KDIGO-based kidney-protective bundle.
The intervention is advisory only, does not mandate clinical actions, and is designed to support provider decision-making within the existing clinical workflow.
Altri nomi:
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Sperimentale: Acute Kidney Injury Risk Score with Best Practice Advisory
The machine learning-derived AKI risk score is displayed within the electronic health record for high-risk patients, accompanied by an interruptive Best Practice Advisory (BPA) that notifies providers that the patient may benefit from a KDIGO-based kidney-protective bundle.
The alert is advisory only and does not mandate clinical actions.
|
A non-adaptive, machine learning-based clinical decision support tool integrated into the electronic health record that generates a preoperative probability of acute kidney injury (AKI) using routinely collected patient data.
For patients identified as high risk, the tool displays the risk estimate to anesthesia providers with an accompanying Best Practice Advisory (BPA) recommending consideration of a KDIGO-based kidney-protective bundle.
The intervention is advisory only, does not mandate clinical actions, and is designed to support provider decision-making within the existing clinical workflow.
Altri nomi:
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Cosa sta misurando lo studio?
Misure di risultato primarie
Misura del risultato |
Misura Descrizione |
Lasso di tempo |
|---|---|---|
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Post-operative Change in Creatinine
Lasso di tempo: From pre-operative baseline to 1-2 days post-operative level
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Maximum continuous change in serum creatinine (mg/dL) from baseline to post-operative day 1-2
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From pre-operative baseline to 1-2 days post-operative level
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Misure di risultato secondarie
Misura del risultato |
Misura Descrizione |
Lasso di tempo |
|---|---|---|
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Acute Kidney Injury
Lasso di tempo: Operation to Post-operative Day 7
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Acute Kidney Injury as defined by KDIGO
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Operation to Post-operative Day 7
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KDIGO Bundle Adherence
Lasso di tempo: Intra-operative
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Measurement of provider adherence to KDIGO components
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Intra-operative
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Intra-Operative Time and Severity of Hypotension
Lasso di tempo: Intra-operative
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Intra-Operative Time and Severity (meaning how far below the threshold) where patient is in hypotension, defined as systolic blood pressure <90 mmHg and mean arterial pressure <65 mmHg during surgery
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Intra-operative
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Total intra-operative intravenous fluid volume administered (mL)
Lasso di tempo: Intra-operative
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Provider administration of intravenous fluids during the intra-operative period, measured in milliliters (mL).
Intravenous fluids include normal saline, lactated Ringer's, Plasma-Lyte, other balanced crystalloids, and colloid solutions such as albumin.
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Intra-operative
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Length of Stay
Lasso di tempo: Operation to Post-operative Day 180
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Duration of patient admission in hospital in days
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Operation to Post-operative Day 180
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Intra-operative Hyperglycemic Events
Lasso di tempo: Intra-operative
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Number of intra-operative hyperglycemic events, defined as the number of recorded blood glucose measurements exceeding 180 mg/dL.
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Intra-operative
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Intra-operative Nephrotoxin Exposure
Lasso di tempo: Intra-operative
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Number of nephrotoxic medications administered intra-operatively and duration of intra-operative exposure
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Intra-operative
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In-Hospital Mortality
Lasso di tempo: Operation to Post-operative Day 180
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Patient death while admitted in the hospital
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Operation to Post-operative Day 180
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ICU Transfer and total time in the ICU
Lasso di tempo: Postoperative
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Any transfers to the ICU while admitted and the total time the patient spends in the ICU
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Postoperative
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Hospital Readmission
Lasso di tempo: Operation to Post-operative Day 180
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Readmission back to a UCSF hospital following operation
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Operation to Post-operative Day 180
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Dialysis Requirement
Lasso di tempo: Operation to Post-operative Day 180
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Patients requiring dialysis following surgery
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Operation to Post-operative Day 180
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Dilution Corrected KDIGO AKI measurement (Stage 1 or higher)
Lasso di tempo: AKI is defined per KDIGO as corrected creatinine increase ≥0.3 mg/dL within 48 hours or ≥1.5× baseline within 7 days. This measure captures "hidden AKI" - kidney injury masked by fluid dilution that would be missed using standard uncorrected creatinine.
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Acute kidney injury (AKI) assessed using KDIGO creatinine criteria applied to dilution-corrected postoperative serum creatinine. Creatinine is corrected for hemodilution from perioperative fluid retention using the formula: Corrected Creatinine (mg/dL) = Measured Creatinine × (1 + Net Fluid Balance / Total Body Water) Where:
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AKI is defined per KDIGO as corrected creatinine increase ≥0.3 mg/dL within 48 hours or ≥1.5× baseline within 7 days. This measure captures "hidden AKI" - kidney injury masked by fluid dilution that would be missed using standard uncorrected creatinine.
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Total intra-operative packed red blood cells administered (units transfused)
Lasso di tempo: intraoperative
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Provider administration of packed red blood cells during the intra-operative period, measured as total units transfused.
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intraoperative
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Total intra-operative fresh frozen plasma administered (units transfused)
Lasso di tempo: intraoperative
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Provider administration of fresh frozen plasma during the intra-operative period, measured as total units transfused.
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intraoperative
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Total intra-operative platelets administered (units transfused)
Lasso di tempo: intraoperative
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Provider administration of platelets during the intra-operative period, measured as total units transfused.
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intraoperative
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Total intra-operative cryoprecipitate administered (units transfused)
Lasso di tempo: intraoperative
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Provider administration of cryoprecipitate during the intra-operative period, measured as total units transfused.
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intraoperative
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Collaboratori e investigatori
Qui è dove troverai le persone e le organizzazioni coinvolte in questo studio.
Collaboratori
Investigatori
- Investigatore principale: Andrew Bishara, MD, University of California, San Francisco
Pubblicazioni e link utili
La persona responsabile dell'inserimento delle informazioni sullo studio fornisce volontariamente queste pubblicazioni. Questi possono riguardare qualsiasi cosa relativa allo studio.
Pubblicazioni generali
- 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.
- Sun LY, Wijeysundera DN, Tait GA, Beattie WS. Association of intraoperative hypotension with acute kidney injury after elective noncardiac surgery. Anesthesiology. 2015 Sep;123(3):515-23. doi: 10.1097/ALN.0000000000000765.
- Khwaja A. KDIGO clinical practice guidelines for acute kidney injury. Nephron Clin Pract. 2012;120(4):c179-84. doi: 10.1159/000339789. Epub 2012 Aug 7. No abstract available.
- Kork F, Balzer F, Spies CD, Wernecke KD, Ginde AA, Jankowski J, Eltzschig HK. Minor Postoperative Increases of Creatinine Are Associated with Higher Mortality and Longer Hospital Length of Stay in Surgical Patients. Anesthesiology. 2015 Dec;123(6):1301-11. doi: 10.1097/ALN.0000000000000891.
- Zarbock A, Kullmar M, Ostermann M, Lucchese G, Baig K, Cennamo A, Rajani R, McCorkell S, Arndt C, Wulf H, Irqsusi M, Monaco F, Di Prima AL, Garcia Alvarez M, Italiano S, Miralles Bagan J, Kunst G, Nair S, L'Acqua C, Hoste E, Vandenberghe W, Honore PM, Kellum JA, Forni LG, Grieshaber P, Massoth C, Weiss R, Gerss J, Wempe C, Meersch M. Prevention of Cardiac Surgery-Associated Acute Kidney Injury by Implementing the KDIGO Guidelines in High-Risk Patients Identified by Biomarkers: The PrevAKI-Multicenter Randomized Controlled Trial. Anesth Analg. 2021 Aug 1;133(2):292-302. doi: 10.1213/ANE.0000000000005458.
- James MT, Dixon E, Tan Z, Mathura P, Datta I, Lall RN, Landry J, Minty EP, Samis GA, Winkelaar GB, Pannu N. Stepped-Wedge Trial of Decision Support for Acute Kidney Injury on Surgical Units. Kidney Int Rep. 2024 Jul 31;9(10):2996-3005. doi: 10.1016/j.ekir.2024.07.025. eCollection 2024 Oct.
- Fujii T, Takakura M, Taniguchi T, Tamura T, Nishiwaki K. Intraoperative hypotension affects postoperative acute kidney injury depending on the invasiveness of abdominal surgery: A retrospective cohort study. Medicine (Baltimore). 2023 Dec 1;102(48):e36465. doi: 10.1097/MD.0000000000036465.
Studiare le date dei record
Queste date tengono traccia dell'avanzamento della registrazione dello studio e dell'invio dei risultati di sintesi a ClinicalTrials.gov. I record degli studi e i risultati riportati vengono esaminati dalla National Library of Medicine (NLM) per assicurarsi che soddisfino specifici standard di controllo della qualità prima di essere pubblicati sul sito Web pubblico.
Studia le date principali
Inizio studio (Stimato)
15 ottobre 2026
Completamento primario (Stimato)
15 ottobre 2027
Completamento dello studio (Stimato)
15 dicembre 2027
Date di iscrizione allo studio
Primo inviato
9 aprile 2026
Primo inviato che soddisfa i criteri di controllo qualità
19 maggio 2026
Primo Inserito (Effettivo)
22 maggio 2026
Aggiornamenti dei record di studio
Ultimo aggiornamento pubblicato (Effettivo)
22 maggio 2026
Ultimo aggiornamento inviato che soddisfa i criteri QC
19 maggio 2026
Ultimo verificato
1 maggio 2026
Maggiori informazioni
Termini relativi a questo studio
Parole chiave
Termini MeSH pertinenti aggiuntivi
Altri numeri di identificazione dello studio
- 22-37005
- K23GM151611-03 (Sovvenzione/contratto NIH degli Stati Uniti)
Piano per i dati dei singoli partecipanti (IPD)
Hai intenzione di condividere i dati dei singoli partecipanti (IPD)?
NO
Informazioni su farmaci e dispositivi, documenti di studio
Studia un prodotto farmaceutico regolamentato dalla FDA degli Stati Uniti
No
Studia un dispositivo regolamentato dalla FDA degli Stati Uniti
Sì
prodotto fabbricato ed esportato dagli Stati Uniti
Sì
Queste informazioni sono state recuperate direttamente dal sito web clinicaltrials.gov senza alcuna modifica. In caso di richieste di modifica, rimozione o aggiornamento dei dettagli dello studio, contattare register@clinicaltrials.gov. Non appena verrà implementata una modifica su clinicaltrials.gov, questa verrà aggiornata automaticamente anche sul nostro sito web .
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