Evidence map›Paper›PMID 36203769›Full record

ArticleFrontiers in medicine2022

Appropriate empirical antifungal therapy is associated with a reduced mortality rate in intensive care unit patients with invasive fungal infection: A real-world retrospective study based on the MIMIC-IV database.

Man-Ka Zhang, Zhi-Guo Rao, Tao Ma, Ming Tang, Tian-Qi Xu, Xiao-Xu He, Zhou-Ping Li, Yin Liu, Qing-Jie Xu, Ke-Yu Yang and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 25% 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, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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  6. Review
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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

14 authors at 1 institution in 1 country.

Man-Ka ZhangDepartment of Critical Care Medicine, Aerospace Center Hospital, Beijing, China.
Zhi-Guo RaoDepartment of Critical Care Medicine, Aerospace Center Hospital, Beijing, China.
Tao MaDepartment of Critical Care Medicine, Aerospace Center Hospital, Beijing, China.
Ming TangDepartment of Critical Care Medicine, Aerospace Center Hospital, Beijing, China.
Tian-Qi XuDepartment of Critical Care Medicine, Aerospace Center Hospital, Beijing, China.
Xiao-Xu HeDepartment of Critical Care Medicine, Aerospace Center Hospital, Beijing, China.
Zhou-Ping LiDepartment of Critical Care Medicine, Aerospace Center Hospital, Beijing, China.
Yin LiuDepartment of Critical Care Medicine, Aerospace Center Hospital, Beijing, China.
Qing-Jie XuDepartment of Critical Care Medicine, Aerospace Center Hospital, Beijing, China.
Ke-Yu YangDepartment of Critical Care Medicine, Aerospace Center Hospital, Beijing, China.
Yi-Fan GongDepartment of Critical Care Medicine, Aerospace Center Hospital, Beijing, China.
Jing XueDepartment of Critical Care Medicine, Aerospace Center Hospital, Beijing, China.
Mei-Qing WuDepartment of Critical Care Medicine, Aerospace Center Hospital, Beijing, China.
Xiao-Yan XueDepartment of Critical Care Medicine, Aerospace Center Hospital, Beijing, China.
Aerospace Center Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The study aimed to determine the prevalence and pathogens of invasive fungal infection (IFI) among intensive care unit (ICU) patients. The next goal was to investigate the association between empirical antifungal treatment and mortality in ICU patients. Methods: Using microbiological events, we identified all ICU patients with IFI and then retrieved electronic clinical data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. The data were statistically analyzed using Results: The most commonly reported fungi were Candida (72.64%) and Aspergillus (19.08%). The most frequently prescribed antifungal medication was fluconazole (37.57%), followed by micafungin (26.47%). In the survival study of ICU patients and patients with sepsis, survivors were more likely to receive empirical antifungal treatment. In contrast, non-empirical antifungal therapy was significantly associated with poor survival in patients with positive blood cultures. We found that the current predictive score makes an accurate prediction of patients with fungal infections challenging. Conclusions: Our study demonstrated that empirical antifungal treatment is associated with decreased mortality in ICU patients. To avoid treatment delays, novel diagnostic techniques should be implemented in the clinic. Until such tests are available, appropriate empirical antifungal therapy could be administered based on a model that predicts the optimal time to initiate antifungal therapy. Additional studies should be conducted to establish more accurate predictive models in the future.

Indexed as

antifungalsfungusICUmortalitypre-emptivesepsis

Identifiers

PMID36203769
PMCPMC9530049
OpenAlexW4297906625

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.