Evidence map›Paper›PMID 39535677›Full record

ArticleClinical and experimental medicine2024

Clinical characteristics and prognosis analysis of pseudomonas aeruginosa bloodstream infection in adults: a retrospective study.

Xiaoya Huang, Jiahai Ding, Xin Yang, Bingxin Tian, Runli Yu, Min Lyu, Wen Liu, Qin Ding

Abstract read
In one paragraph

Article in Clinical and experimental medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Genetic Determinants Linked to MDR/XDR inPathogens (Basel, Switzerland) · 2026
    Article
  6. Predictors of Mortality inPathogens (Basel, Switzerland) · 2026
    Review
  7. 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

8 authors.

Xiaoya Huang *Department of Infectious Disease and Hepatic Disease, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu Province, China.
Jiahai Ding *The First Clinical College of Xuzhou Medical University, Xuzhou, Jiangsu Province, China.
Xin YangDepartment of Infectious Disease and Hepatic Disease, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu Province, China.
Bingxin TianDepartment of Infectious Disease and Hepatic Disease, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu Province, China.
Runli YuDepartment of Infectious Disease and Hepatic Disease, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu Province, China.
Min LyuDepartment of Infectious Disease and Hepatic Disease, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu Province, China.
Wen LiuDepartment of Infectious Disease and Hepatic Disease, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu Province, China.
Qin DingDepartment of Infectious Disease and Hepatic Disease, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu Province, China. kgylan163@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pseudomonas aeruginosa bloodstream infections (PA BSIs) in adults, especially those complicated by sepsis, are associated with high rates of morbidity and mortality. Early identification of risk factors for both mortality and sepsis-induced coagulopathy (SIC) is critical to optimizing patient management and improving outcomes. We conducted a retrospective analysis of 118 adult patients diagnosed with PA BSIs at the Affiliated Hospital of Xuzhou Medical University from January 2022 to February 2024. Univariate analysis was employed to identify significant clinical factors, followed by multivariate stepwise logistic regression to determine independent predictors of mortality and SIC. Based on these findings, nomogram models were constructed and evaluated using the area under the receiver operating characteristic curve (AUC), Bootstrap resampling, and calibration plots to assess model performance. Empiric sensitive antibiotic therapy (ESAT) (OR = 0.039, P < 0.001), coronary artery disease (CAD) (OR = 10.315, P = 0.010), and invasive mechanical ventilation (OR = 3.926, P = 0.020) emerged as significant predictors of mortality. In contrast, elevated C-reactive protein (CRP) (OR = 1.011, P = 0.003), procalcitonin (PCT) (OR = 1.030, P = 0.005), and lower hemoglobin levels (OR = 0.963, P = 0.004) were independently associated with SIC. The AUC of mortality prediction model is 0.908, while the SIC prediction model yielded an AUC of 0.817. The predictive models developed in this study demonstrate early identification of mortality rates and SIC risk in PA BSI patients, which may have the potential to guide timely therapeutic interventions and improve clinical outcomes in this high-risk population.

Indexed as

BacteremiaPseudomonas aeruginosaPseudomonas InfectionsAdultAgedAged, 80 and overAnti-Bacterial AgentsBlood Coagulation DisordersChinaFemaleHumansMaleMiddle AgedNomogramsPrognosisRetrospective StudiesAnti-Bacterial AgentsBloodstream infectionsNomogramPrognosisPseudomonas aeruginosaSepsis-induced coagulopathy

Identifiers

PMID39535677
PMCPMC11560997

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.