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Real-Time Acute Kidney Injury Perioperative Prediction Clinical Trial (ML-AKI)

19 de mayo de 2026 actualizado por: 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.

Descripción general del estudio

Tipo de estudio

Intervencionista

Inscripción (Estimado)

25518

Fase

  • No aplica

Contactos y Ubicaciones

Esta sección proporciona los datos de contacto de quienes realizan el estudio e información sobre dónde se lleva a cabo este estudio.

Estudio Contacto

Ubicaciones de estudio

    • California
      • San Francisco, California, Estados Unidos, 94158
        • University of California, San Francisco

Criterios de participación

Los investigadores buscan personas que se ajusten a una determinada descripción, denominada criterio de elegibilidad. Algunos ejemplos de estos criterios son el estado de salud general de una persona o tratamientos previos.

Criterio de elegibilidad

Edades elegibles para estudiar

  • Adulto
  • Adulto Mayor

Acepta Voluntarios Saludables

Sí

Descripción

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.

Plan de estudios

Esta sección proporciona detalles del plan de estudio, incluido cómo está diseñado el estudio y qué mide el estudio.

¿Cómo está diseñado el estudio?

Detalles de diseño

  • Propósito principal: Poner en pantalla
  • Asignación: Aleatorizado
  • Modelo Intervencionista: Asignación paralela
  • Enmascaramiento: Ninguno (etiqueta abierta)

Armas e Intervenciones

Grupo de participantes/brazo
Intervención / Tratamiento
Sin intervención: 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.
Experimental: 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.
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.
Otros nombres:
  • EHR-Embedded AKI Clinical Decision Support Tool
Experimental: 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.
Otros nombres:
  • EHR-Embedded AKI Clinical Decision Support Tool

¿Qué mide el estudio?

Medidas de resultado primarias

Medida de resultado
Medida Descripción
Periodo de tiempo
Post-operative Change in Creatinine
Periodo de tiempo: From pre-operative baseline to 1-2 days post-operative level
Maximum continuous change in serum creatinine (mg/dL) from baseline to post-operative day 1-2
From pre-operative baseline to 1-2 days post-operative level

Medidas de resultado secundarias

Medida de resultado
Medida Descripción
Periodo de tiempo
Acute Kidney Injury
Periodo de tiempo: Operation to Post-operative Day 7
Acute Kidney Injury as defined by KDIGO
Operation to Post-operative Day 7
KDIGO Bundle Adherence
Periodo de tiempo: Intra-operative
Measurement of provider adherence to KDIGO components
Intra-operative
Intra-Operative Time and Severity of Hypotension
Periodo de tiempo: Intra-operative
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
Intra-operative
Total intra-operative intravenous fluid volume administered (mL)
Periodo de tiempo: Intra-operative
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.
Intra-operative
Length of Stay
Periodo de tiempo: Operation to Post-operative Day 180
Duration of patient admission in hospital in days
Operation to Post-operative Day 180
Intra-operative Hyperglycemic Events
Periodo de tiempo: Intra-operative
Number of intra-operative hyperglycemic events, defined as the number of recorded blood glucose measurements exceeding 180 mg/dL.
Intra-operative
Intra-operative Nephrotoxin Exposure
Periodo de tiempo: Intra-operative
Number of nephrotoxic medications administered intra-operatively and duration of intra-operative exposure
Intra-operative
In-Hospital Mortality
Periodo de tiempo: Operation to Post-operative Day 180
Patient death while admitted in the hospital
Operation to Post-operative Day 180
ICU Transfer and total time in the ICU
Periodo de tiempo: Postoperative
Any transfers to the ICU while admitted and the total time the patient spends in the ICU
Postoperative
Hospital Readmission
Periodo de tiempo: Operation to Post-operative Day 180
Readmission back to a UCSF hospital following operation
Operation to Post-operative Day 180
Dialysis Requirement
Periodo de tiempo: Operation to Post-operative Day 180
Patients requiring dialysis following surgery
Operation to Post-operative Day 180
Dilution Corrected KDIGO AKI measurement (Stage 1 or higher)
Periodo de tiempo: 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.

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:

  • Net Fluid Balance (L) = Fluid inputs - urine output - blood loss - other outputs
  • Total Body Water (L) = 0.6 × weight (kg) for males; 0.5 × weight (kg) for females
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.
Total intra-operative packed red blood cells administered (units transfused)
Periodo de tiempo: intraoperative
Provider administration of packed red blood cells during the intra-operative period, measured as total units transfused.
intraoperative
Total intra-operative fresh frozen plasma administered (units transfused)
Periodo de tiempo: intraoperative
Provider administration of fresh frozen plasma during the intra-operative period, measured as total units transfused.
intraoperative
Total intra-operative platelets administered (units transfused)
Periodo de tiempo: intraoperative
Provider administration of platelets during the intra-operative period, measured as total units transfused.
intraoperative
Total intra-operative cryoprecipitate administered (units transfused)
Periodo de tiempo: intraoperative
Provider administration of cryoprecipitate during the intra-operative period, measured as total units transfused.
intraoperative

Colaboradores e Investigadores

Aquí es donde encontrará personas y organizaciones involucradas en este estudio.

Investigadores

  • Investigador principal: Andrew Bishara, MD, University of California, San Francisco

Publicaciones y enlaces útiles

La persona responsable de ingresar información sobre el estudio proporciona voluntariamente estas publicaciones. Estos pueden ser sobre cualquier cosa relacionada con el estudio.

Publicaciones Generales

Fechas de registro del estudio

Estas fechas rastrean el progreso del registro del estudio y los envíos de resultados resumidos a ClinicalTrials.gov. Los registros del estudio y los resultados informados son revisados ​​por la Biblioteca Nacional de Medicina (NLM) para asegurarse de que cumplan con los estándares de control de calidad específicos antes de publicarlos en el sitio web público.

Fechas importantes del estudio

Inicio del estudio (Estimado)

15 de octubre de 2026

Finalización primaria (Estimado)

15 de octubre de 2027

Finalización del estudio (Estimado)

15 de diciembre de 2027

Fechas de registro del estudio

Enviado por primera vez

9 de abril de 2026

Primero enviado que cumplió con los criterios de control de calidad

19 de mayo de 2026

Publicado por primera vez (Actual)

22 de mayo de 2026

Actualizaciones de registros de estudio

Última actualización publicada (Actual)

22 de mayo de 2026

Última actualización enviada que cumplió con los criterios de control de calidad

19 de mayo de 2026

Última verificación

1 de mayo de 2026

Más información

Términos relacionados con este estudio

Plan de datos de participantes individuales (IPD)

¿Planea compartir datos de participantes individuales (IPD)?

NO

Información sobre medicamentos y dispositivos, documentos del estudio

Estudia un producto farmacéutico regulado por la FDA de EE. UU.

No

Estudia un producto de dispositivo regulado por la FDA de EE. UU.

Sí

producto fabricado y exportado desde los EE. UU.

Sí

Esta información se obtuvo directamente del sitio web clinicaltrials.gov sin cambios. Si tiene alguna solicitud para cambiar, eliminar o actualizar los detalles de su estudio, comuníquese con register@clinicaltrials.gov. Tan pronto como se implemente un cambio en clinicaltrials.gov, también se actualizará automáticamente en nuestro sitio web. .

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