Evidence map›Paper›PMID 38745677›Full record

ArticleInfection and drug resistance2024

Association Between Age and the 28-Day All-Cause Mortality in Tuberculosis Complicated by Sepsis in ICU Patients: A Retrospective Cohort Study.

Kunping Cui, Yi Mao, Shuang Feng, Haixia Luo, Jiao Yang, Ruyi Xu, Lang Bai

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Article in Infection and drug resistance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

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0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Kunping Cui *Center of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, Sichuan, 610041, People's Republic of China.ORCID 0009-0009-0979-7478
Yi Mao *Intensive Care Unit, Public Health Clinical Center of Chengdu, Chengdu, Sichuan, 610000, People's Republic of China.
Shuang FengUltrasonic Medicine, Public Health Clinical Center of Chengdu, Chengdu, Sichuan, 610000, People's Republic of China.
Haixia LuoIntensive Care Unit, Public Health Clinical Center of Chengdu, Chengdu, Sichuan, 610000, People's Republic of China.
Jiao YangIntensive Care Unit, Public Health Clinical Center of Chengdu, Chengdu, Sichuan, 610000, People's Republic of China.
Ruyi XuCenter of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, Sichuan, 610041, People's Republic of China.
Lang BaiCenter of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, Sichuan, 610041, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Age is considered a vital factor in intensive care units (ICUs) because of its association with physiological frailty, comorbidities, and immune system function. Previous studies have examined the association between age and prognosis in patients with tuberculosis (TB) or sepsis; however, the association between age and prognosis in ICU patients with TB complicated by sepsis is rare. This study aimed to assess the association between age and the prognosis of patients in the ICU with TB complicated by sepsis. Patients and Methods: Data from the ICU of the Public Health Clinical Center of Chengdu were analyzed using the multivariable Cox regression model, stratified analysis with interaction, restricted cubic spline (RCS), and threshold effect analysis to investigate the association between age and 28-day all-cause mortality in patients with TB complicated by sepsis. Results: In total, 520 patients diagnosed with TB and sepsis were enrolled (120 women [23.1%]; median age, 64 years). The association between age and risk of death exhibited a J-shaped curve on the RCS ( Conclusion: A nonlinear relationship was observed between age and short-term all-cause mortality in patients in the ICU with TB complicated by sepsis. Patients with a higher age at admission may have a higher risk of death and require focused attention, close monitoring, and early treatment to reduce mortality.

Indexed as

28-day all-cause mortalityageintensive care unitsepsistuberculosis

Identifiers

PMID38745677
PMCPMC11093119

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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.