Evidence mapPaperPMID 37531493Full record

ArticleSao Paulo medical journal = Revista paulista de medicina2023

Potentially inappropriate medications with older people in intensive care and associated factors: a historic cohort study.

Karina Sichieri, Danilo Donizetti Trevisan, Ricardo Luís Barbosa, Silvia Regina Secoli

Abstract read
In one paragraph

Article in Sao Paulo medical journal = Revista paulista de medicina, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

The trial behind it

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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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Karina SichieriNurse and Doctoral Student, Hospital Universitário (HU), Universidade de São Paulo (USP), São Paulo (SP), Brazil.ORCID 0000-0002-5074-4636
Danilo Donizetti TrevisanPhD. Nurse and Assistant Professor, Universidade Federal de São João Del Rei (UFSJ), Divinópolis (MG), Brazil.ORCID 0000-0002-6998-9166
Ricardo Luís BarbosaPhD. Mathematics and Assistant Professor, Universidade Federal de Uberlândia (UFU), Monte Carmelo (MG), Brazil.ORCID 0000-0002-0393-6192
Silvia Regina SecoliPhD. Nurse and Senior Professor, Graduate Program in Adult Health Nursing, School of Nursing, Universidade de São Paulo (USP), São Paulo (SP), Brazil.ORCID 0000-0003-4135-6241

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe epidemiology of potentially inappropriate medications (PIMs) in critical care units remains limited, especially in terms of the factors associated with their use.

objectiveTo estimate the incidence and factors associated with PIMs use in intensive care units. DESIGN AND

settingHistorical cohort study was conducted in a high-complexity hospital in Brazil.

methodsA retrospective chart review was conducted on 314 patients aged ≥ 60 years who were admitted to intensive care units (ICUs) at a high-complexity hospital in Brazil. The dates were extracted from a "Patient Safety Project" database. A Chi-square test, Student's t-test, and multivariable logistic regression analyses were performed to assess which factors were associated with PIMs. The statistical significance was set at 5%.

resultsAccording to Beers' criteria, 12.8% of the identified drugs were considered inappropriate for the elderly population. The incidence rate of PIMs use was 45.8%. The most frequently used PIMs were metoclopramide, insulin, antipsychotics, non-steroidal anti-inflammatory drugs, and benzodiazepines. Factors associated with PIMs use were the number of medications (odds ratio [OR] = 1.17), length of hospital stay (OR = 1.07), and excessive potential drug interactions (OR = 2.43).

conclusionsApproximately half of the older adults in ICUs received PIM. Patients taking PIMs had a longer length of stay in the ICU, higher numbers of medications, and higher numbers of potential drug interactions. In ICUs, the use of explicit methods combined with clinical judgment can contribute to the safety and quality of medication prescriptions.

Indexed as

Inappropriate PrescribingPotentially Inappropriate Medication ListAgedCohort StudiesCritical CareHumansRetrospective Studies

Identifiers

PMID37531493
PMCPMC10393373

What Socratic holds

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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 Socratic graph.