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Record W4413173798 · doi:10.1002/jac5.70097

Patient‐Reported Adverse Drug Events on Nirmatrelvir–Ritonavir: A Prospective Observational Study of a Pharmacist‐Led Follow‐Up and Monitoring Service

2025· article· en· W4413173798 on OpenAlex
Colin R. Dormuth, Anat Fisher, Greg Carney, Davin Shikaze, I fan Kuo

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJACCP JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY · 2025
Typearticle
Languageen
FieldMedicine
TopicMedication Adherence and Compliance
Canadian institutionsMinistry of HealthUniversity of British Columbia
FundersMinistry of Health, British Columbia
KeywordsObservational studyPharmacistMedicineAdverse effectDrugRitonavirAdverse drug reactionService (business)Medical emergencyPharmacyFamily medicineInternal medicinePharmacologyHuman immunodeficiency virus (HIV)Antiretroviral therapyViral loadBusiness

Abstract

fetched live from OpenAlex

ABSTRACT Background There is a paucity of population‐based data on adherence and adverse drug events (ADEs) associated with the treatment of coronavirus disease 2019 (COVID‐19) with nirmatrelvir and ritonavir (NMV/r). We sought to contribute data on patient‐reported treatment adherence and ADEs with NMV/r using data collected by community pharmacists. Methods Data on patient‐reported NMV/r adherence and ADEs, the study outcomes, were collected by pharmacists through the Paxlovid Follow‐up (PAX‐F) service, with linkage to administrative data from the British Columbia (BC) Ministry of Health. The cohort study included individuals in BC prescribed NMV/r between January 31, 2022, and December 31, 2022. Pharmacists conducted phone assessments with patients or their caregivers after completion of NMV/r treatment. Responses were recorded in the PharmaNet database, a provincewide data network. Logistic regression was used to identify characteristics associated with the study outcomes. Results PAX‐F service was provided to 10 200 individuals. Median age was 72 years, and 56.4% were female. There were 87.6% of respondents ( n = 9034) who reported completing all 5 days of their NMV/r medication; 7351 individuals with a PAX‐F assessment (72.1%) were dispensed medications with a known interaction with NMV/r. 47.8% of respondents ( n = 4960) reported experiencing a total of 7439 ADEs, of which 1.5% of ADEs ( n = 115 in 79 individuals) were reported to have been managed at a hospital or emergency room. Female sex was associated with an increased risk of nonadherence to NMV/r compared with men (odds ratio [OR], 1.53; 95% confidence interval [CI], 1.41–1.68), and an increased risk of ADEs (OR, 1.32; 95% CI, 1.15–1.53). Nonvaccination was associated with nonadherence to NMV/r (OR, 3.05; 95% CI, 2.41–3.87), but not with reporting an ADE (OR, 1.04; 95% CI, 0.85–1.29). Conclusion Nearly half of NMV/r users in BC reported ADEs with treatment, suggesting that careful consideration of the risks and benefits of prescribing NMV/r is warranted.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.510

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.169
GPT teacher head0.477
Teacher spread0.308 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it