Evidence mapPaperPMID 39170390Full record

ArticleHeliyon2024

Association between the anion gap and mortality in critically ill patients with influenza: A cohort study.

Yingxiu Huang, Ting Ao, Peng Zhen, Ming Hu

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Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
field-weighted citation impact
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

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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

8 citing papers in PubMed.

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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

4 authors.

Yingxiu HuangDepartment of Infectious Disease, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, China.
Ting AoDepartment of Infectious Disease, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, China.
Peng ZhenDepartment of Infectious Disease, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, China.
Ming HuDepartment of Infectious Disease, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Influenza is an important global health concern, particularly in critically ill patients. The anion gap, a marker of metabolic acidosis, is associated with mortality in various critical illnesses. However, its association with mortality in critically ill patients with influenza remains unclear. This study investigated the association between the anion gap on admission and 28-day mortality in critically ill patients with influenza. Methods: A retrospective cohort study was conducted using data from MIMIC-IV database. Patients admitted to the intensive care unit (ICU) with influenza were included. The anion gap was measured within the first 24 h of ICU admission. The primary outcome was the 28-day mortality. The secondary outcomes were 60-day mortality and in-hospital mortality. Multivariable Cox regression was used to assess the association between the anion gap and mortality. Results: A total of 276 critically ill patients with influenza were included in the study. The mean age was 65 years, and 60 % were male. The overall 28-day mortality was 15.5 %. A greater anion gap on admission was associated with significantly increased 28-day mortality in the unadjusted analysis (hazard ratio [HR], 1.11; 95 % confidence interval [CI], 1.03-1.2; p < 0.001). The association remained significant after adjusting for age, sex, race, and illness severity (adjusted HR, 1.09; 95 % CI, 1.02-1.17; p = 0.017). Subgroup analysis showed consistent results across the different groups. Conclusion: A greater anion gap on admission was independently associated with increased 28-day mortality in critically ill patients with influenza. These findings suggest that the anion gap can be used as a prognostic marker in patients with influenza, aiding in risk stratification and guiding clinical management.

Indexed as

Anion gapCritically ill patientsInfluenzaMIMIC-IVMortality

Identifiers

PMID39170390
PMCPMC11336403

What Socratic holds

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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.