Evidence map›Paper›PMID 38001406›Full record

ArticleBMC geriatrics2023

Polypharmacy, potentially inappropriate medications, and drug-drug interactions in older COVID-19 inpatients.

Zhaoyan Chen, Fangyuan Tian, Ya Zeng

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
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

5 citing papers in PubMed, 7 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Zhaoyan ChenDepartment of Pharmacy, West China Hospital, Sichuan University, Chengdu, China.
Fangyuan TianDepartment of Pharmacy, West China Hospital, Sichuan University, Chengdu, China. tianfangyuan0608@163.com.ORCID 0000-0002-5187-0386
Ya ZengDepartment of Pharmacy, West China Hospital, Sichuan University, Chengdu, China.
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe purpose of this study was to assess the impact of polypharmacy, potentially inappropriate medications, and drug-drug interactions on in-hospital mortality in older COVID-19 inpatients.

methodsA cross-sectional study was conducted using electronic medical data from a tertiary hospital in Chengdu from December 2022 to January 2023. The 2019 AGS/Beers criteria was used to evaluate the potentially inappropriate mediation (PIM) status of older COVID-19 inpatients (age ≥ 65 years), the drug-drug interactions were evaluated on Medscape, and multivariate logistic regression was used to identify the risk factors associated with in-hospital mortality.

resultsA total of 206 older COVID-19 inpatients were included in the study. The mean number of drugs per day was 13.04. The prevalence of PIM use based on the 2019 AGS Beers Criteria was 66.99%. The prevalence of drug-drug interactions was 61.65%. Logistic regression demonstrated that age ≥ 80 (OR: 10.321, 95% CI: 1.649, 64.579, P = 0.013), renal insufficiency (OR: 4.740, 95% CI: 1.366, 16.447, P = 0.014), long-term hospitalization (OR: 6.637, 95% CI: 1.030, 42.779, P = 0.046), severe pneumonia (OR: 50.230, 95% CI: 5.180, 487.041, P = 0.001) were influencing factors associated with in-hospital mortality in older COVID-19 inpatients.

conclusionsThe polypharmacy, potentially inappropriate medications, and drug-drug interactions were seen in many older COVID-19 inpatients.

Indexed as

COVID-19Potentially Inappropriate Medication ListAgedCross-Sectional StudiesDrug InteractionsHumansInappropriate PrescribingInpatientsPolypharmacyRisk FactorsCOVID-19MortalityOlderPolypharmacyPotentially inappropriate medications

Identifiers

PMID38001406
PMCPMC10675895
OpenAlexW4388991103

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.