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. 2021 Jan 6;10(2):168.
doi: 10.3390/jcm10020168.

Drug-Induced Acute Kidney Injury: A Study from the French Medical Administrative and the French National Pharmacovigilance Databases Using Capture-Recapture Method

Anne-Lise Rolland  1 , Anne-Sophie Garnier  2   3 , Katy Meunier  1 , Guillaume Drablier  4 , Marie Briet  2   4
Affiliations

Drug-Induced Acute Kidney Injury: A Study from the French Medical Administrative and the French National Pharmacovigilance Databases Using Capture-Recapture Method

Anne-Lise Rolland et al. J Clin Med. .

Abstract

Background: Acute kidney injury (AKI) is a public health concern. Among the pathological situations leading to AKI, drugs are preventable factors but are still under-notified. We aimed to provide an overview of drug-induced AKI (DIAKI) using pharmacovigilance and medical administrative databases Methods: A query of the PMSI database (French Medical Information System Program) of adult inpatient hospital stays between 1 January 2017 and 31 December 2018 was performed using ICD-10 (International Classification of Diseases 10th revision) codes to identify AKI cases which were reviewed by a nephrologist and a pharmacovigilance expert to identify DIAKI cases. In parallel, DIAKIs notified in the French Pharmacovigilance Database (FPVDB) were collected. A capture-recapture method was performed to estimate the total number of DIAKIs.

Results: The estimated total number of DIAKIs was 521 (95%CI 480; 563), representing 20.0% of all AKIs. The notification was at a rate of 12.9% (95%CI 10.0; 15.8). According to the KDIGO classification, 50.2% of the DIAKI cases were stage 1 and 49.8% stage 2 and 3. The mortality rate was 11.1% and 9.6% required hemodialysis.

Conclusion: This study showed that drugs are involved in a significant proportion of patients developing AKI during a hospital stay and emphasizes the severity of DIAKI cases.

Keywords: French medical information system program; French pharmacovigilance database; KDIGO; capture-recapture method; drug-induced acute kidney injury; notification rate.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Estimation of the total number of DIAKI using the capture-recapture method. N: total number of DIAKIs; N1: DIAKIs in PMSI database; N2: DIAKIs in FPVDB; N3: DIAKIs common to both databases; N4: DIAKIs are neither coded in the PMSI database nor notified to the pharmacovigilance center. DIAKI: Drug-induced acute kidney injury; FPVDB: French Pharmacovigilance Database; PMSI: French Medical Information System Program.
Figure 2
Figure 2
Distribution of ATC classification (1st level) of drugs suspected in DIAKIs according to the data sources. ATC (classification): Anatomical Therapeutic Chemical (classification); DIAKI: Drug-induced Acute Kidney Injury; FPVDB: French Pharmacovigilance Database; PMSI: French Medical Information System Program.
See this image and copyright information in PMC

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