Evidence map›Paper›PMID 38789916›Full record

ArticleBMC infectious diseases2024

Can the pan-immune-inflammation value predict gram negative bloodstream infection-related 30-day mortality in solid organ transplant patients?

Çağlayan Merve Ayaz, Özge Turhan, Vural Taner Yılmaz, Haydar Adanır, Beyza Sezer, Dilara Öğünç

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Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

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8citing papers in PubMed, 1 pooled it
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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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3 · Its place in the literature

Who cites it

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

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Çağlayan Merve AyazDepartment of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Akdeniz University, Antalya, Turkey.
Özge TurhanDepartment of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Akdeniz University, Antalya, Turkey. ozgeturhan@akdeniz.edu.tr.
Vural Taner YılmazDepartment of Internal Medicine, Division of Nephrology, Faculty of Medicine, Akdeniz University, Antalya, Turkey.
Haydar AdanırDepartment of Internal Medicine, Division of Gastroenterology, Faculty of Medicine, Akdeniz University, Antalya, Turkey.
Beyza SezerDepartment of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Akdeniz University, Antalya, Turkey.
Dilara ÖğünçDepartment of Medical Microbiology, Faculty of Medicine, Akdeniz University, Antalya, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe recently used pan-immune-inflammation value (PIV) has not been adequately studied as a predictive marker for mortality in immunosuppressed patients. The aim of this study was to evaluate the usefulness of baseline PIV level as a predictor of 30-day mortality in solid organ transplant (SOT) recipients with gram negative bloodstream infections (GN-BSI).

methodsThis retrospective, cross-sectional study was conducted between January 1, 2019, and December 31, 2022, in 1104 SOT recipients. During the study period, 118 GN-BSI were recorded in 113 patients. Clinical, epidemiological, and laboratory data were collected, and mortality rates (30-day and all-cause) were recorded.

resultsThe 113 recipients had a median age of 50 years [interquartile range (IQR) 37.5-61.5 years] with a male predominance (n = 72, 63.7%). The three most common microorganisms were as follows: 46 isolates (38.9%) of Escherichia coli, 41 (34.7%) of Klebsiella pneumoniae, and 12 (10.2%) of Acinetobacter baumannii. In 44.9% and 35.6% of the isolates, production of extended-spectrum beta-lactamases and carbapenem resistance were detected, respectively. The incidence of carbapenem-resistant GN-BSI was higher in liver recipients than in renal recipients (n = 27, 69.2% vs n = 13, 17.6%, p < 0.001). All-cause and 30-day mortality rates after GN-BSI were 26.5% (n = 30), and 16.8% (n = 19), respectively. In the group with GN-BSI-related 30-day mortality, the median PIV level was significantly lower (327.3, IQR 64.8-795.4 vs. 1049.6, IQR 338.6-2177.1; p = 0.002). The binary logistic regression analysis identified low PIV level [hazard ratio (HR) = 0.93, 95% confidence interval (CI) 0.86-0.99; p = 0.04], and increased age (HR = 1.05, 95% CI 1.01-1.09; p = 0.002) as factors associated with 30-day mortality. The receiver operating characteristic analysis revealed that PIV could determine the GN-BSI-related 30-day mortality with area under curve (AUC): 0.723, 95% CI 0.597-0.848, p = 0.0005.

conclusionsPIV is a simple and inexpensive biomarker that can be used to estimate mortality in immunosuppressed patients, but the results need to be interpreted carefully.

Indexed as

Gram-Negative Bacterial InfectionsAdultBacteremiaCross-Sectional StudiesFemaleGram-Negative BacteriaHumansImmunocompromised HostInflammationMaleMiddle AgedOrgan TransplantationRetrospective StudiesTransplant RecipientsGram negative bacterial infectionMortalityMultidrug resistancePan-immune-inflammation valueSolid organ transplantation

Identifiers

PMID38789916
PMCPMC11127423

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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.