Disproportionality Analysis of Acute Kidney Injury Reports Associated with Sacubitril/Valsartan (ARNI) in the Japanese Adverse Drug Event Report Database

BACKGROUND: Prescriptions of angiotensin receptor neprilysin inhibitor (ARNI) have increased in recent years; however, few pharmacovigilance studies have investigated acute kidney injury (AKI) reporting associated with ARNI. This study evaluated the disproportionate AKI reporting associated with ARNI in the Japanese Adverse Drug Event Report (JADER) database, compared AKI reporting between reports involving ARNI and valsartan, and explored the factors associated with AKI reporting among reports involving ARNI. METHODS: Reports published in JADER between April 2020 and August 2023 were analyzed. AKI was identified using the narrow and broad scope Preferred Terms of the Standardized MedDRA Query (SMQ) "acute renal failure" (SMQ:20000003). The reporting odds ratios (RORs) and 95% confidence intervals (CIs) were calculated for ARNI and valsartan. Multivariable logistic regression analyses were performed to estimate adjusted RORs (aRORs) for sex, age, heart failure (HF), diabetes mellitus, chronic kidney disease (CKD), concomitant diuretics, and nonsteroidal anti-inflammatory drugs (NSAIDs). An additional adjusted analysis directly compared AKI reports between ARNI and valsartan. RESULTS: A disproportionality signal for AKI was identified in the reports involving ARNI (ROR 7.11, 95% CI 6.27-8.07). Multivariable logistic regression showed that HF (aROR 1.68, 95% CI 1.22-2.31; p = 0.002) and CKD (aROR 2.17, 95% CI 1.60-2.93; p < 0.001) were independently associated with increased AKI reporting among reports involving ARNI. In the adjusted direct comparison, reports involving ARNI had higher odds of AKI reporting than those involving valsartan (aROR 2.03, 95% CI 1.50-2.74). CONCLUSIONS: Disproportionate AKI reporting signals were identified in reports involving ARNI in the JADER database. HF and CKD were independently associated with increased AKI reporting after adjustment. These findings have provided additional pharmacovigilance evidence regarding ARNI-associated AKI in Japan and should be interpreted in light of the inherent limitations of spontaneous reporting data.

Authors

Institutions

Publication Details

Journal
Drugs - Real World Outcomes
Published
2026-10-28
DOI
https://doi.org/10.1007/s40801-026-00593-3
Primary Topic
Pharmacovigilance and Adverse Drug Reactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Disproportionality Analysis of Acute Kidney Injury Reports Associated with Sacubitril/Valsartan (ARNI) in the Japanese Adverse Drug Event Report Database

Yuka Kohda, Yoko Urashima, Fumiaki Kitazawa, Kazuya Urashima et al.
2 links
Drugs - Real World Outcomes
Pharmacovigilance and Adverse Drug Reactions
article

Disproportionality Analysis of Acute Kidney Injury Reports Associated with Sacubitril/Valsartan (ARNI) in the Japanese Adverse Drug Event Report Database

Yuka Kohda, Yoko Urashima, Fumiaki Kitazawa, Kazuya Urashima, Ayumi Fujimoto, Tooru Ueda, Ryuji Kato, Saori Tanaka, Mayuko Tamura-Takaori
article en

Abstract

BACKGROUND: Prescriptions of angiotensin receptor neprilysin inhibitor (ARNI) have increased in recent years; however, few pharmacovigilance studies have investigated acute kidney injury (AKI) reporting associated with ARNI. This study evaluated the disproportionate AKI reporting associated with ARNI in the Japanese Adverse Drug Event Report (JADER) database, compared AKI reporting between reports involving ARNI and valsartan, and explored the factors associated with AKI reporting among reports involving ARNI. METHODS: Reports published in JADER between April 2020 and August 2023 were analyzed. AKI was identified using the narrow and broad scope Preferred Terms of the Standardized MedDRA Query (SMQ) "acute renal failure" (SMQ:20000003). The reporting odds ratios (RORs) and 95% confidence intervals (CIs) were calculated for ARNI and valsartan. Multivariable logistic regression analyses were performed to estimate adjusted RORs (aRORs) for sex, age, heart failure (HF), diabetes mellitus, chronic kidney disease (CKD), concomitant diuretics, and nonsteroidal anti-inflammatory drugs (NSAIDs). An additional adjusted analysis directly compared AKI reports between ARNI and valsartan. RESULTS: A disproportionality signal for AKI was identified in the reports involving ARNI (ROR 7.11, 95% CI 6.27-8.07). Multivariable logistic regression showed that HF (aROR 1.68, 95% CI 1.22-2.31; p = 0.002) and CKD (aROR 2.17, 95% CI 1.60-2.93; p < 0.001) were independently associated with increased AKI reporting among reports involving ARNI. In the adjusted direct comparison, reports involving ARNI had higher odds of AKI reporting than those involving valsartan (aROR 2.03, 95% CI 1.50-2.74). CONCLUSIONS: Disproportionate AKI reporting signals were identified in reports involving ARNI in the JADER database. HF and CKD were independently associated with increased AKI reporting after adjustment. These findings have provided additional pharmacovigilance evidence regarding ARNI-associated AKI in Japan and should be interpreted in light of the inherent limitations of spontaneous reporting data.

Drugs - Real World Outcomes
Osaka Ohtani University (JP), Osaka Medical and Pharmaceutical University (JP), Osaka City General Hospital (JP), Kansai Electric Power Hospital (JP), Osaka Hospital (JP), Japan Community Healthcare Organization (JP), Yamato Municipal Hospital (JP), Osaka University of Pharmaceutical Sciences (JP)
Good health and well-being
Openalex Percentile: Top 15%
Pharmacovigilance and Adverse Drug Reactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon