Evidence map›Paper›PMID 42413156›Full record

ArticleJournal of the American Medical Directors Association2026

Potential Drug-Drug Interactions With Nirmatrelvir/Ritonavir Among Long-Term Care Facility Residents.

Marzan A Khan, Lori A Daiello, Sarah D Berry, Daniel A Harris, Hemalkumar B Mehta, Yu-Chia Sam Hsu, Charles E Leonard, Kevin W McConeghy, Andrew R Zullo

Abstract read
In one paragraph

Article in Journal of the American Medical Directors Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Marzan A KhanDepartment of Epidemiology, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA. Electronic address: marzan_khan@brown.edu.
Lori A DaielloCenter for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA; Department of Neurology, Alpert Medical School of Brown University, Providence, RI, USA.
Sarah D BerryHinda and Arthur Marcus Institute for Aging Research and Department of Medicine, Hebrew Senior Life, Boston, MA, USA.
Daniel A HarrisDepartment of Epidemiology, College of Health Sciences, University of Delaware, Newark, DE, USA.
Hemalkumar B MehtaCenter for Drug Safety and Effectiveness, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Yu-Chia Sam HsuCenter for Real-World Effectiveness and Safety of Therapeutics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Charles E LeonardDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Kevin W McConeghyTransformative Health Systems Research to Improve Veteran Equity and Independence Center of Innovation (THRIVE COIN), Veterans Affairs Providence Health Care System, Providence, RI, USA; Department of Health Services, Policy and Practice, Brown University School of Public Health, Providence, RI, USA.
Andrew R ZulloDepartment of Epidemiology, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA; Transformative Health Systems Research to Improve Veteran Equity and Independence Center of Innovation (THRIVE COIN), Veterans Affairs Providence Health Care System, Providence, RI, USA; Department of Pharmacy, Brown University Health, Rhode Island Hospital, Providence, RI, USA.

Funding

Training Core (I)U54AG063546 · NIA · BROWN UNIVERSITY · PI Alexia Mary Torke · 2019 to 2026
$125.9M
Drug interactions involving psychoactive drugsR01AG060975 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Charles Edward Leonard · 2019 to 2026
$3.9M
Clinically Significant Drug Interactions among Nursing Home Residents with ADRDR01AG077620 · NIA · BROWN UNIVERSITY · PI Andrew Reis Zullo · 2022 to 2026
$3.5M
Prescribing Cascades among Nursing Home Residents with ADRDRF1AG089541 · NIA · BROWN UNIVERSITY · PI HAYES, KALEEN NICOLE, ZULLO, ANDREW REIS · 2024 to 2024
$2.2M
Post-Acute Care Medication Use and Functional Recovery in Heart FailureR01AG088522 · NIA · BROWN UNIVERSITY · PI PARAG GOYAL, Andrew Reis Zullo · 2024 to 2026
$1.9M
Drug-Drug Interactions Involving Direct-Acting Oral Anticoagulants in Nursing Home ResidentsK01AG070329 · NIA · JOHNS HOPKINS UNIVERSITY · PI MEHTA, HEMALKUMAR B. · 2021 to 2025
$647k
NIA NIH HHS K01 AG070329NIA NIH HHS R01 AG060975NIA NIH HHS R01 AG077620NIA NIH HHS R01 AG088522NIA NIH HHS RF1 AG089541NIA NIH HHS U54 AG063546
6 · The paper itself

Abstract

objectivesNirmatrelvir/ritonavir (Paxlovid) is an oral antiviral for COVID-19. Although effective, its use is complicated by clinically important potential drug-drug interactions (DDIs). Long-term care facility (LTCF) residents are especially vulnerable to both COVID-19 and the adverse effects of potential DDIs because of advanced age, multimorbidity, and polypharmacy. The objective of this study was to quantify the prevalence and duration of potential DDIs among US LTCF residents administered nirmatrelvir/ritonavir.

designWe conducted a cohort study of LTCF residents using electronic medication administration record data from the Long-Term Care Data Cooperative linked to Medicare claims (January 2022-January 2025).

methodsDays of nirmatrelvir/ritonavir administration were identified, and concurrent exposure to 236 potentially interacting medications was assessed. A potential DDI was defined as same-day coadministration, reflecting concurrent exposure rather than clinical adverse effects. We estimated the prevalence of potential DDIs and the median duration of overlapping exposure.

resultsAmong 48,260 LTCF residents treated with nirmatrelvir/ritonavir, the mean age was 78.8 years (SD, 10.9), 58% were female, and 76% were non-Hispanic White. Overall, 86% were exposed to at least 1 potential DDI. The most common potentially interacting medications were atorvastatin (28.1%; 95% confidence limits [CLs], 27.7-28.50), amlodipine (21.6%; 95% CLs, 21.2-21.9), and apixaban (15.9%; 95% CLs, 15.6-16.3). Median days of overlapping exposure ranged from 5 to 6 days. DISCUSSION: Potential DDIs most frequently involve medications requiring temporary withholding or dose adjustment rather than contraindication. The high prevalence of potential DDIs likely reflects the complexity of medication management in LTCFs, where antiviral use must be weighed against comorbidities and polypharmacy. CONCLUSIONS AND IMPLICATIONS: Potential DDIs with nirmatrelvir/ritonavir were common among LTCF residents, though contraindicated ones were uncommon. These findings underscore the need for ongoing medication reviews and clinician and pharmacist oversight to ensure safe antiviral use in LTCFs.

Indexed as

COVID-19 Drug TreatmentRitonavirAgedAged, 80 and overCohort StudiesDrug InteractionsFemaleHumansLong-Term CareMaleNursing Home ResidentsUnited StatesRitonavirCOVID-19drug-drug interactionlong-term care facility residentsnirmatrelvir/ritonavir

Identifiers

PMID42413156
PMCPMC13439577

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Registered trials

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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.