Evidence map›Paper›PMID 42430171›Full record

Trial reportJAMA network open2026

Early Nephrology Consultation and Acute Kidney Injury in Hospitalized Patients: A Randomized Clinical Trial.

Matthew M Churpek, Aiman Fatima, Olasunkanmi Anjorin, Ananya Saravanan, Benjamin S Ko, Samantha Gunning, Megan L Prochaska, Tipu S Puri, Anna L Zisman, Dana P Edelson and 3 more

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03590028 (An Early Real-Time Electronic Health Record Risk Algorithm for the Prevention and Treatment of Acute Kidney Injury), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03590028 naactive not recruitingnot on this map

An Early Real-Time Electronic Health Record Risk Algorithm for the Prevention and Treatment of Acute Kidney Injury: A Randomized Trial of an Early Standardized, Personalized Nephrology Intervention

TypeinterventionalSponsorUniversity of ChicagoRan2018 to 2027Enrolled180ConditionsAcute Kidney InjuryArmsEarly Nephrology Consult (ENC), Standard of Care (SOC)
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Matthew M ChurpekDepartment of Medicine, University of Wisconsin-Madison.
Aiman FatimaSection of Nephrology, Department of Medicine, University of Chicago, Chicago, Illinois.
Olasunkanmi AnjorinSection of Nephrology, Department of Medicine, University of Chicago, Chicago, Illinois.
Ananya SaravananSection of Nephrology, Department of Medicine, University of Chicago, Chicago, Illinois.
Benjamin S KoSection of Nephrology, Department of Medicine, University of Chicago, Chicago, Illinois.
Samantha GunningSection of Nephrology, Department of Medicine, University of Chicago, Chicago, Illinois.
Megan L ProchaskaSection of Nephrology, Department of Medicine, University of Chicago, Chicago, Illinois.
Tipu S PuriSection of Nephrology, Department of Medicine, University of Chicago, Chicago, Illinois.
Anna L ZismanSection of Nephrology, Department of Medicine, University of Chicago, Chicago, Illinois.
Dana P EdelsonDepartment of Medicine, University of Chicago, Chicago, Illinois.
Mihai C GiurcanuDepartment of Public Health Sciences, University of Chicago, Chicago, Illinois.
Jay L KoynerSection of Nephrology, Department of Medicine, University of Chicago, Chicago, Illinois.
Electronic Signal to Prevent Acute Kidney Injury (ESTOP-AKI) Investigative Team

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To determine whether a structured early nephrology consultation triggered by a machine-learning acute kidney injury (AKI) risk score (electronic signal to prevent AKI [ESTOP-AKI]) in patients at high risk for stage 2 AKI improves patient outcomes. Design, Setting, and Participants: This randomized clinical trial was conducted at the University of Chicago, Illinois, from March 13, 2019, to August 21, 2024, in hospitalized patients with no serum creatinine (SCr)-based AKI and an ESTOP-AKI score more than 0.01. Intervention: Patients were randomized to receive a structured early nephrology consultation (ENC) from an attending nephrologist or usual care (UC). The ENC included an in-person assessment and recommendations regarding volume status, kidney perfusion, medication dosing and selection, electrolytes, nutritional needs, and further testing. Patients in the UC arm only received a nephrology consultation when clinically requested by the primary team. Main Outcomes and Measures: The primary outcome was the peak change in SCr from enrollment (ΔSCr) during the 7-day follow-up. Secondary outcomes included development of AKI, need for kidney replacement therapy, and inpatient and 90-day mortality. Results: Of the 180 patients randomized (median [IQR] age, 62.5 [50.0-71.0] years; 102 males [56.7%]), 89 (49.4%) received ENC, and 91 (50.6%) received UC. There was no significant adjusted mean (SE) difference in the 7-day ΔSCr between the ENC and UC groups, adjusted for the ESTOP risk group (0.04 [0.07] mg/dL vs -0.03 [0.07] mg/dL; P = .30), among the 70 patients (38.9%) in the development of stage 1 or higher AKI (37 [42%] vs 33 [36%]; P = .47) or among the 29 patients (16.1%) with stage 2 or higher AKI (17 [19%] vs 12 [13%]; P = .28). During the study period, there were 121 ENC consultations containing 270 recommendations compared with 19 UC consultations and 36 recommendations. Medication dosage and discontinuation, diuretics or fluids, and vasopressor recommendations were more likely to be completely followed in the UC arm (15 of 22 [68%]) compared with in the ENC arm (48 of 116 [41%]). Over the 90-day follow-up, there was no significant difference in readmission rates (ENC: 30 [34.1%] vs UC: 40 [44.4%]; P = .21) or 90-day mortality (ENC: 13 [14.8%] vs UC: 17 [18.7%]; P = .62) between the ENC and UC arms. Conclusions and Relevance: In this randomized clinical trial of structured ENC triggered by a machine-learning AKI risk score, there was no difference in ΔSCr. AKI consultation recommendations were not followed the majority of time; whether increasing adherence to recommendations could improve outcomes deserves further study. Trial Registration: ClinicalTrials.gov Identifier: NCT03590028.

Indexed as

Acute Kidney InjuryNephrologyReferral and ConsultationAgedCreatinineFemaleHospitalizationHumansMaleMiddle AgedRisk AssessmentCreatinine

Identifiers

PMID42430171
PMCPMC13355147

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.