Evidence map›Paper›PMID 39781474›Full record

ArticleClinical kidney journal2025

Quantifying the potential contribution of drugs to the occurrence of acute kidney injury in patients with chronic kidney disease.

Solène M Laville, Janice Vendar, Ziad A Massy, Valérie Gras-Champel, Julien Moragny, Luc Frimat, Maurice Laville, Christian Jacquelinet, Roberto Pecoits-Filho, Natalia Alencar De Pinho and 3 more

Abstract read
In one paragraph

Article in Clinical kidney journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Solène M LavillePharmacoepidemiology Unit, Department of Clinical Pharmacology, Amiens-Picardie University Medical Center, Amiens, France.ORCID https://orcid.org/0000-0002-0214-5567
Janice VendarPharmacoepidemiology Unit, Department of Clinical Pharmacology, Amiens-Picardie University Medical Center, Amiens, France.
Ziad A MassyCentre for Research in Epidemiology and Population Health (CESP), INSERM UMRS 1018, Université Paris-Saclay, Université Versailles Saint Quentin, Villejuif, France.ORCID https://orcid.org/0000-0001-5771-5996
Valérie Gras-ChampelPharmacovigilance Center, Department of Clinical Pharmacology, Amiens-Picardie University Medical Center, Amiens, France.
Julien MoragnyPharmacovigilance Center, Department of Clinical Pharmacology, Amiens-Picardie University Medical Center, Amiens, France.
Luc FrimatNephrology Department, Centre Hospitalier Régional Universitaire de Nancy, Vandoeuvre-lès-Nancy, France.
Maurice LavilleUniversité de Lyon, CarMeN INSERM 1060, Lyon, France.
Christian JacquelinetCentre for Research in Epidemiology and Population Health (CESP), INSERM UMRS 1018, Université Paris-Saclay, Université Versailles Saint Quentin, Villejuif, France.
Roberto Pecoits-FilhoArbor Research Collaborative for Health, Ann Arbor, MI, USA.
Natalia Alencar De PinhoCentre for Research in Epidemiology and Population Health (CESP), INSERM UMRS 1018, Université Paris-Saclay, Université Versailles Saint Quentin, Villejuif, France.ORCID https://orcid.org/0000-0002-0438-6487
Aghilès HamrounDepartment of Public Health - Epidemiology, Lille University, Lille Regional University Medical Center, Lille, France.ORCID https://orcid.org/0000-0003-4988-206X
Sophie LiabeufPharmacoepidemiology Unit, Department of Clinical Pharmacology, Amiens-Picardie University Medical Center, Amiens, France.ORCID https://orcid.org/0000-0001-5384-9006
Chronic Kidney Disease-Renal Epidemiology and Information Network (CKD-REIN) Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: We sought to comprehensively describe drug-related components associated with acute kidney injury (AKI) in patients with chronic kidney disease (CKD), describing the incidence of drug-related AKI, the proportion of preventable AKI, identified the various drugs potentially associated with it, explored the risk factors, and assessed the 1-year incidences of the recurrence of drug-related AKI, kidney failure, and death. Methods: CKD-REIN is a French national prospective cohort of 3033 nephrology outpatients with a confirmed diagnosis of CKD (eGFR <60 ml/min/1.73 m²). AKIs and adverse drug reactions (ADRs) were prospectively identified from hospital reports, medical records, and patient interviews. Expert nephrologists used the KDIGO criteria to adjudicate all stages of AKI, and expert pharmacologists used validated tools to adjudicate ADRs (including drug-related AKIs). Results: Over a median [interquartile range] period of 4.9 [3.4-5.1] years, 832 cases of AKI were reported in 639 (21%) of the 3033 study participants. The drug-related component associated with AKI accounted for 236 cases, and 28% were judged to be preventable or potentially preventable. The three most frequently implicated drug classes were diuretics, renin-angiotensin system inhibitors, and contrast agents. A history of cardiovascular events, diabetes, lower levels of hemoglobin and eGFR, poor medication adherence, and ≥5 drugs taken daily were associated with a greater risk of drug-related AKI. Full recovery was not attained in 64 (27%) of the 236 cases of drug-related AKI. The 1-year cumulative incidences of recurrence of drug-related AKI, kidney replacement therapy, and death were 7%, 15%, and 11%, respectively, after the first drug-related AKI. Conclusions: Drug-related AKI is prevalent among patients with CKD. Even though a substantial proportion of these events were classified as stage 1, our findings point to a poor prognosis.

Indexed as

acute kidney injuryadverse drug reactionchronic kidney diseasedrugspharmacoepidemiology

Identifiers

PMID39781474
PMCPMC11707387

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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.