Evidence map›Paper›PMID 40904905›Full record

ArticleInfection and drug resistance2025

Real-World Analysis of Potential Drug-Drug Interactions with Nirmatrelvir/Ritonavir Based on the Hospital Prescription Analysis (HPA) Database in 9 Cities of China.

Heng Guo, Yang Zhou, Xingang Li, Yingming Zheng, Zhe Li, Yi Liu, Dandan Li

Abstract read
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Article in Infection and drug resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Heng GuoDepartment of Pharmacy, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0009-0000-1982-9722
Yang ZhouDepartment of Pharmacy, Beijing Anzhen Hospital, Capital Medical University, Beijing, People's Republic of China.
Xingang LiDepartment of Pharmacy, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0000-0001-6726-9571
Yingming ZhengDepartment of Pharmacy, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
Zhe LiDepartment of Pharmacy, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
Yi LiuDepartment of Pharmacy, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
Dandan LiDepartment of Pharmacy, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To determine the real-world patterns and extent of potential drug-drug interactions (DDIs) related to nirmatrelvir/ritonavir (NMVr) in China. Patients and Methods: Data on NMVr-treated patients from over 160 hospitals across 9 Chinese cities from January 2022 to December 2023 were extracted from the Hospital Prescription Analysis (HPA) database, which was established in Beijing in 1997 to promote rational medication use in China. Grade C, D and X DDIs from the Lexicomp database were defined as clinically significant and analyzed in this study. Statistical analyses included descriptive statistics (continuous variables as mean ± SD; categorical variables as counts and percentages) and multivariate binary logistic regression, which was used to identify factors associated with potential DDIs, with adjustment for confounding variables (sex, age, cities, number of co-administered drugs, comorbidities). Analyses were performed using R software (v4.2.2) with Results: Of 15,567 patients receiving NMVr, the mean age was 62.4 ±18.2 years, and 53.1% were male. 8542 patients received at least one co-administration, and 5391 patients exhibited at least one potential DDI. A total of 10,694 potential DDIs were identified, with a breakdown of 8310 grade C, 2093 grade D and 291 grade X. Systemic corticosteroids (n=3608) and drugs for obstructive airway diseases (n=2220) had the highest frequencies in grade C DDIs, and the lipid modifying agents (n=601) in grade D DDIs, and cardiac therapy drugs (n=130) in grade X DDIs. Co-administration of drugs significantly increased odds of potential DDIs with the risk escalating markedly as the number of drugs increased, and the comorbidities of hypertension (odds ratio [OR]=1.50), asthma (OR=4.28) and mental disorders (OR=7.02) significantly increased it as well. Conclusion: In this large-scale cross-sectional study in China, approximately one-third of the patients treated with NMVr were at risk of clinically significant potential DDIs, highlighting the importance of making efforts to diminish these risks, such as close monitoring and dose adjustment.

Indexed as

coronavirus disease-2019COVID-19DDIsNMVrpatient safety

Identifiers

PMID40904905
PMCPMC12404192

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