Evidence map›Paper›PMID 38559401›Full record

ArticleFrontiers in psychiatry2024

Former smoking, but not active smoking, is associated with delirium in postoperative ICU patients: a matched case-control study.

Maria Angeliki Komninou, Simon Egli, Aurelio Rossi, Jutta Ernst, Michael Krauthammer, Reto A Schuepbach, Marcos Delgado, Jan Bartussek

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Five-decade prevalence of delirium in pneumonia, risk factors and associated mortality: a systematic review and meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2025
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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

8 authors at 3 institutions in 1 country.

Maria Angeliki KomninouInstitute of Intensive Care Medicine, University Hospital Zurich & University of Zurich, Zurich, Switzerland.
Simon EgliInstitute of Intensive Care Medicine, University Hospital Zurich & University of Zurich, Zurich, Switzerland.
Aurelio RossiInstitute of Intensive Care Medicine, University Hospital Zurich & University of Zurich, Zurich, Switzerland.
Jutta ErnstCenter of Clinical Nursing Sciences, University Hospital Zurich, Zurich, Switzerland.
Michael KrauthammerDepartment for Quantitative Biomedicine, University of Zurich, Zurich, Switzerland.
Reto A SchuepbachInstitute of Intensive Care Medicine, University Hospital Zurich & University of Zurich, Zurich, Switzerland.
Marcos DelgadoInstitute of Intensive Care Medicine, University Hospital Zurich & University of Zurich, Zurich, Switzerland.
Jan BartussekInstitute of Intensive Care Medicine, University Hospital Zurich & University of Zurich, Zurich, Switzerland.
University of Zurich · CHUniversity Hospital of Zurich · CHUniversity Hospital of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To examine the relationship between current and former smoking and the occurrence of delirium in surgical Intensive Care Unit (ICU) patients. Methods: We conducted a single center, case-control study involving 244 delirious and 251 non-delirious patients that were admitted to our ICU between 2018 and 2022. Using propensity score analysis, we obtained 115 pairs of delirious and non-delirious patients matched for age and Simplified Acute Physiology Score II (SAPS II). Both groups of patients were further stratified into non-smokers, active smokers and former smokers, and logistic regression was performed to further investigate potential confounders. Results: Our study revealed a significant association between former smoking and the incidence of delirium in ICU patients, both in unmatched (adjusted odds ratio (OR): 1.82, 95% confidence interval (CI): 1.17-2.83) and matched cohorts (OR: 3.0, CI: 1.53-5.89). Active smoking did not demonstrate a significant difference in delirium incidence compared to non-smokers (unmatched OR = 0.98, CI: 0.62-1.53, matched OR = 1.05, CI: 0.55-2.0). Logistic regression analysis of the matched group confirmed former smoking as an independent risk factor for delirium, irrespective of other variables like surgical history (p = 0.010). Notably, also respiratory and vascular surgeries were associated with increased odds of delirium (respiratory: OR: 4.13, CI: 1.73-9.83; vascular: OR: 2.18, CI: 1.03-4.59). Medication analysis showed that while Ketamine and Midazolam usage did not significantly correlate with delirium, Morphine use was linked to a decreased likelihood (OR: 0.27, 95% CI: 0.13-0.55). Discussion: Nicotine's complex neuropharmacological impact on the brain is still not fully understood, especially its short-term and long-term implications for critically ill patients. Although our retrospective study cannot establish causality, our findings suggest that smoking may induce structural changes in the brain, potentially heightening the risk of postoperative delirium. Intriguingly, this effect seems to be obscured in active smokers, potentially due to the recognized neuroprotective properties of nicotine. Our results motivate future prospective studies, the results of which hold the potential to substantially impact risk assessment procedures for surgeries.

Indexed as

case-control studiescritical care medicineICU deliriumnicotinepostoperative delirium (POD)risk factorssmokingwithdrawal

Identifiers

PMID38559401
PMCPMC10979642
OpenAlexW4392816340

What OpenQuestion 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 OpenQuestion graph.