Evidence map›Paper›PMID 36363461›Full record

ArticleMedicina (Kaunas, Lithuania)2022

Prognostic Value of Plasma Presepsin and Pneumonia Severity Index in Patients with Community-Acquired Pneumonia in the Emergency Department.

Kyeong-Ryong Lee, Dae-Young Hong, Jin-Hui Paik, Hyun-Min Jung

Abstract read
In one paragraph

Article in Medicina (Kaunas, Lithuania), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

  1. Article
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4 · The record

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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.

Kyeong-Ryong LeeDepartment of Emergency Medicine, Konkuk University School of Medicine, Seoul 05030, Korea.
Dae-Young HongDepartment of Emergency Medicine, Konkuk University School of Medicine, Seoul 05030, Korea.ORCID 0000-0003-2209-7213
Jin-Hui PaikDepartment of Emergency Medicine, Inha University School of Medicine, Incheon 22332, Korea.
Hyun-Min JungDepartment of Emergency Medicine, Inha University School of Medicine, Incheon 22332, Korea.

Funding

Konkuk University Medical Center K220121
6 · The paper itself

Abstract

Background and Objectives: Presepsin (PSS) is an independent predictor for estimating disease severity and prognosis in septic patients. Few studies have reported the associations between plasma PSS and the severity and prognosis in patients with community-acquired pneumonia (CAP). We investigated whether a high plasma PSS level was associated with 30-day mortality in CAP patients. Materials and Methods: This retrospective single-center study was conducted in an emergency department. The PSS level was measured in 211 adult CAP patients admitted to the hospital and followed for up to 30 days. We recorded the pneumonia severity index (PSI) and the CURB-65 score. The primary outcome was death from any cause within 30 days. Results: The plasma PSS levels were significantly elevated in the high-risk group (PSI > 130) compared with the low- (PSI < 91) or moderate-risk groups (PSI 91−130). Forty-four patients (20.9%) died within 30 days of admission. Non-survivors had significantly higher plasma PSS levels than survivors among CAP patients: 1083 (697−1736) pg/mL vs. 385 (245−554) pg/mL (p < 0.001). The area under the curve (AUC) to predict 30-day mortality was highest for PSS (0.867), followed by procalcitonin (0.728) and lactate (0.616). The cutoff level of plasma PSS for 30-day mortality was >754 pg/mL. The combination of PSI and plasma PSS level improved the predictive ability for 30-day mortality (AUC = 0.892). Cox regression analysis showed that higher PSS levels (>754 pg/mL) and higher PSI (>126) were associated with 30-day mortality in CAP patients (hazard ratios of 19.472 and 6.375, respectively). Conclusion: Elevated plasma PSS is associated with severity and 30-day mortality in hospitalized CAP patients. Combining plasma PSS level and PSI could significantly improve the predictive ability of PSS for 30-day mortality.

Indexed as

Community-Acquired InfectionsPneumoniaAdultBiomarkersEmergency Service, HospitalHumansLipopolysaccharide ReceptorsPeptide FragmentsPrognosisProspective StudiesRetrospective StudiesSeverity of Illness IndexBiomarkersLipopolysaccharide ReceptorsPeptide Fragmentspresepsin protein, humanbiomarkersdisease severitymortalitypneumoniapresepsin

Identifiers

PMID36363461
PMCPMC9692405

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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.