Evidence map›Paper›PMID 36057682›Full record

ArticleAging clinical and experimental research2022

Incidence and interaction factors of delirium as an independent risk of mortality in elderly patients in the intensive units: a retrospective analysis from MIMIC-IV database.

Hui Liu, Qing Zhao, Xiaoli Liu, Xin Hu, Li Wang, Feihu Zhou

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Article in Aging clinical and experimental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

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13citing papers in PubMed
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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.

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Hui Liu *Department of Critical Care Medicine, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China.
Qing Zhao *Department of Diagnosis and Treatment of Cadres, 1st Medical Center, Chinese PLA General Hospital, Beijing, China.
Xiaoli LiuKey Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
Xin HuDepartment of Critical Care Medicine, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China.
Li WangDepartment of Critical Care Medicine, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China.
Feihu ZhouDepartment of Critical Care Medicine, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China. feihuzhou301@126.com.ORCID http://orcid.org/0000-0001-6154-013X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs delirium is a common problem in critcal elderly patients, the aim of the study was to investigate the interaction factors of delirium as an independent risk of mortality in elderly patients in the intensive care unit (ICU). PATIENTS AND

methodsElderly patients (age ≥ 65) were selected from Medical Information Mart for Intensive Care (MIMIC)-IV database. Demographics data were collected on the 1st day of admission to ICU. The main outcome is in-hospital mortality. Propensity score matching analysis (PSMA) was used to remove the influence of comfounding factors between survival and nonsurvival groups. Chi-square test and logistic regression analysis was used to identify the association between delirium and in-hospital death. Stratified analysis and interaction analysis was used to evaluate the interaction factors of delirium as a risk of in-hospital mortality.

results22,361 patients were selected, and in which 2809 patients died. 5453 patients had delirium (about 24.4%). There is a significant difference in delirium between the survival and nonsurvival groups before and after PSMA (p = 0.000 and p = 0.030). Logistic regression showed delirium, sequential organ failure assessment (SOFA), and hemoglobin were all significantly related to in-hospital death (p = 0.000). SOFA score and hemoglobin concentration were proved to be remarkable interaction factors of delirium (p = 0.000, and p = 0.041). Significant correlation between delirium and hospital mortality was inhibited when SOFA was more than 12 or hemoglobin was higher than 15 g/dL. In-hospital mortality (49.1% vs. 10.5%, p = 0.000) and shock incidence (87.9% vs. 15.8%, p = 0.000) of the patients with SOFA ≥ 12 was much higher than that of the patients with SOFA ≤ 11.

conclusionSOFA and hemoglobin are interaction factors of delirium as an independent risk of in-hospital mortality in elderly patients in the intensive care unit.

Indexed as

DeliriumAgedDatabases, FactualHospital MortalityHumansIncidenceRetrospective StudiesDeliriumElderly patientsHemoglobinMortalitySOFA

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PMID36057682

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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.