ArticleKidney medicine2024
Acute Kidney Injury Survivor Remote Patient Monitoring: A Single Center's Experience and an Effectiveness Evaluation.
Article in Kidney medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Artificial Intelligence in Critical Care Nephrology: Current Applications, Emerging Techniques, and Challenges to Clinical Integration.Kidney360 · 2026Review
- Transforming nephrology through artificial intelligence: a state-of-the-art roadmap for clinical integration.Clinical kidney journal · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
Rationale & Objective: Remote patient monitoring (RPM) could improve the quality and efficiency of acute kidney injury (AKI) survivor care. This study described our experience with AKI RPM and characterized its effectiveness. Study Design: A cohort study matched 1:3 to historical controls. Setting & Participants: Patients hospitalized with an episode of AKI who were discharged home and were not treated with dialysis. Exposure: Participation in an AKI RPM program, which included use of a home vital sign and symptom monitoring technology and weekly in-center laboratory assessments. Outcomes: Risk of unplanned hospital readmission or emergency department (ED) visit within 6 months. Analytic Approach: Endpoints were assessed using Cox proportional hazards models. Results: Forty of the 49 patients enrolled in AKI RPM (82%) participated in the program after hospital discharge. Seventy three percent of patients experienced one AKI RPM alert, most commonly related to fluid status. Among those with stage 3 AKI, the risk of unplanned readmission or ED visit within 6 months of discharge was not different between AKI RPM patients (n = 34) and matched controls (n = 102) (HR 1.33 [95% CI, 0.81-2.18]; Limitations: Small sample size that may have been underpowered for the effectiveness endpoints. Conclusions: AKI RPM, when used after hospital discharge, led to alerts and interventions directed at optimizing kidney health and AKI complications but did not reduce the risk for rehospitalization.
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Registered trials
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