Evidence map›Paper›PMID 39467995›Full record

ArticleInfection2025

Characterizing CRP dynamics during acute infections.

Stacey S Cherny, Rafael Y Brzezinski, Asaf Wasserman, Amos Adler, Shlomo Berliner, Daniel Nevo, Saharon Rosset, Uri Obolski

Abstract read
In one paragraph

Article in Infection, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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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.

Stacey S Cherny *Department of Epidemiology and Preventive Medicine, School of Public Health, Faculty of Medical & Health Sciences Tel Aviv University, Tel Aviv, Israel.
Rafael Y Brzezinski *Faculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv, Israel.
Asaf WassermanFaculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv, Israel.
Amos AdlerFaculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv, Israel.
Shlomo BerlinerFaculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv, Israel.
Daniel NevoDepartment of Statistics and Operations Research, Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel.
Saharon RossetDepartment of Statistics and Operations Research, Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel.
Uri ObolskiDepartment of Epidemiology and Preventive Medicine, School of Public Health, Faculty of Medical & Health Sciences Tel Aviv University, Tel Aviv, Israel. uriobols@tauex.tau.ac.il.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeC-reactive protein (CRP) is a common proxy of inflammation, but accurate characterizations of its dynamics during acute infections are scant. The goal of this study was to examine C-reactive protein (CRP) trajectories in hospitalized patients with viral infections, confirmed bacteremia (stratified by Gram-negative or Gram-positive bacteria), and non-bacteremic infections/inflammations, considering antibiotic treatment.

methodsElectronic medical records from Tel Aviv Sourasky Medical Center (July 2007-May 2023) were analyzed. Patients with blood cultures or positive viral tests were included. CRP levels were modeled using generalized additive mixed-effects models (GAMMs) and observed up to 150 h after initial infection diagnosis. Patients with initial CRP levels > 31.9 were excluded, to remove individuals already in a highly active inflammatory process. The shapes of the CRP curves were characterized and peak CRP as well as area under the CRP curve were the primary variables of interest.

resultsViral infections had the lowest and flattest CRP curves. Non-bacteremic infections showed intermediate levels, while bacteremia (especially Gram-negative under antibiotic treatment) had the highest CRP peaks. For instance, peak CRP ranged from 15.4 mg/L in viral infections without antibiotics to 140.9 mg/L in Gram-negative bacteremia with antibiotics.

conclusionsCRP trajectories significantly differ based on infection type and antibiotic treatment. Frequent CRP measurement could be a valuable diagnostic and risk stratification tool in hospitalized patients.

Indexed as

BacteremiaC-Reactive ProteinVirus DiseasesAcute DiseaseAdultAgedAged, 80 and overAnti-Bacterial AgentsBiomarkersFemaleHospitalizationHumansInflammationMaleMiddle AgedRetrospective StudiesAnti-Bacterial AgentsBiomarkersC-Reactive ProteinAntibioticsBacteremiaCRP dynamicsCRP trajectoriesInfection

Identifiers

PMID39467995
PMCPMC12137512

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Registered trials

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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.