Evidence map›Paper›PMID 38961941›Full record

ArticleHeliyon2024

Risk factors and prediction model for mortality in HIV/Talaromyces marneffei co-infection: A retrospective cohort study.

Yan Zhang, Kailong Gu, Wei Du, Aifang Xu

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Enhancing mortality prediction in AIDS and disseminatedJournal of medical microbiology · 2025
    Article
  4. Article
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.

Yan ZhangDepartment of Clinical Laboratory, Hangzhou Xixi Hospital, 2 Hengbu Road, Xihu District, 310023, Zhejiang, China.
Kailong GuDepartment of Clinical Laboratory, Hangzhou Xixi Hospital, 2 Hengbu Road, Xihu District, 310023, Zhejiang, China.
Wei DuDepartment of Clinical Laboratory, Hangzhou Xixi Hospital, 2 Hengbu Road, Xihu District, 310023, Zhejiang, China.
Aifang XuDepartment of Clinical Laboratory, Hangzhou Xixi Hospital, 2 Hengbu Road, Xihu District, 310023, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to identify the risk factors associated with mortality among patients co-infected with human immunodeficiency virus (HIV) and Talaromyces marneffei (TM) in China, and develop a risk prediction model. Methods: In this retrospective cohort analysis conducted from 2013 to 2024, comprehensive clinical data from 160 patients were analyzed using a logistic regression model to identify mortality predictors and construct a predictive model. An additional 36 patients constituted the validation cohort, which was specifically designed to evaluate the predictive value of the model. Model performance was assessed using the area under the curve (AUC). Results: The overall mortality rate for hospitalized patients with HIV/TM co-infection was 17.35 %. The median age was 35.0 years, and 89.30 % were male. Additionally, 89.80 % of the patients reported fever and 87.76 % presented with lymphadenopathy. Key independent risk factors associated with mortality included age (odds ratio (OR): 1.103, 95 % confidence interval (CI) = 1.033-1.178, P = 0.003), procalcitonin (PCT) levels (OR: 1.270, 95 % CI = 1.052-1.534, P = 0.013), and urea to albumin ratio (UAR) (OR: 1.491, 95 % CI = 1.175-1.892, P < 0.001). Advanced age, elevated PCT levels, and increased UAR were identified as independent risk factors of mortality. Furthermore, the mortality prediction probability combining age, PCT, and UAR exhibited a high predictive value in patients with HIV/TM co-infection. Additionally, the AUC showed a good discrimination ability in the validation group (AUC, 0.898). Conclusions: Advanced age, elevated PCT levels, and increased UAR significantly determine mortality in patients with HIV/TM co-infection. These findings underscore the potential of using laboratory parameters as predictive indicators of mortality, facilitating the early identification of HIV/TM co-infection cases in clinical practice.

Indexed as

HIVMortalityRisk factorsTalaromyces marneffei

Identifiers

PMID38961941
PMCPMC11219485

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.