Evidence map›Paper›PMID 35578181›Full record

Observational studyBMC anesthesiology2022

Delirium risk factors in hospitalized patient: a comprehensive evaluation of underlying diseases and medications in different wards of a large Urban Hospital Center in Iran.

Mohammad Arbabi, Elham Ziaei, Behnam Amini, Hamidreza Ghadimi, Fatemeh Rashidi, Narges Shohanizad, Soroush Moradi, Alireza Beikmarzehei, Alireza Hasanzadeh, Amirhossein Parsaei

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC anesthesiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 9 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

10 authors at 3 institutions in 1 country.

Mohammad ArbabiBrain & Spinal Cord Injury Research Centre, Tehran University of Medical Sciences, Tehran, Iran.
Elham ZiaeiFaculty of Medicine, Tehran University of Medical Science, Tehran, Iran.
Behnam AminiFaculty of Medicine, Tehran University of Medical Science, Tehran, Iran.
Hamidreza GhadimiFaculty of Medicine, Tehran University of Medical Science, Tehran, Iran.
Fatemeh RashidiFaculty of Medicine, Tehran University of Medical Science, Tehran, Iran.
Narges ShohanizadAzad University of Medical Science, Tehran, Iran.
Soroush MoradiNon-communicable Diseases Research Center, Tehran University of Medical Sciences, Jalal Street, Tehran, 1411713139, Iran.
Alireza BeikmarzeheiFaculty of Medicine, Tehran University of Medical Science, Tehran, Iran.
Alireza HasanzadehFaculty of Medicine, Tehran University of Medical Science, Tehran, Iran.
Amirhossein ParsaeiNon-communicable Diseases Research Center, Tehran University of Medical Sciences, Jalal Street, Tehran, 1411713139, Iran. ah-parsaei@alumnus.tums.ac.ir.
University of Tehran · IRTehran University of Medical Sciences · IRIslamic Azad University Medical Branch of Tehran · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDelirium is a neurobehavioral syndrome, which is characterized by a fluctuation of mental status, disorientation, confusion and inappropriate behavior, and it is prevalent among hospitalized patients. Recognizing modifiable risk factors of delirium is the key point for improving our preventive strategies and restraining its devastating consequences. This study aimed to identify and investigate various factors predisposing hospitalized patients to develop delirium, focusing mostly on underlying diseases and medications.

methodIn a prospective, observational trial, we investigated 220 patients who had been admitted to the internal, emergency, surgery and hematology-oncology departments. We employed the Confusion Assessment Method (CAM) questionnaire, The Richmond Agitation Sedation Scale (RASS), the General Practitioner Assessment of Cognition (GPCOG), demographic questionnaire, patient interviews and medical records. Multivariate logistic regression models were used to analyze the predictive value of medications and underlying diseases for daily transition to delirium.; demographics were analyzed using univariate analysis to identify those independently associated with delirium.

resultsTwo hundred twenty patients were enrolled; the emergency department had the most incident delirium (31.3%), and the surgery section had the least (2.4%); delirium was significantly correlated with older ages and sleep disturbance. Among multiple underlying diseases and the medications evaluated in this study, we found that a history of dementia, neurological diseases and malignancies increases the odds of transition to delirium and the use of anticoagulants decreases the incident delirium.

conclusionApproximately 1 out of 10 overall patients developed delirium; It is important to evaluate underlying diseases and medications more thoroughly in hospitalized patients to assess the risk of delirium.

Indexed as

DeliriumHospitals, UrbanHumansIranProspective StudiesRisk FactorsConfusionDeliriumDementiaHospitalizationNeoplasmsNeurological diseases

Identifiers

PMID35578181
PMCPMC9109388
OpenAlexW4280488933

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.