Evidence map›Paper›PMID 31275752›Full record

ArticlePeerJ2019

Response patterns of routinely measured inflammatory and coagulatory parameters in sepsis.

Mirjam Bachler, Tobias Hell, Lukas Schausberger, Christine Schlömmer, Volker Schäfer, Marlies Liebensteiner, Katharina Schäffler, Bettina Schenk, Dietmar Fries, Petra Innerhofer and 1 more

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 38% of its field
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

3 citing papers in PubMed, 5 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

Mirjam BachlerUniversity for Health Sciences, Medical Informatics and Technology, Institute for Sports Medicine, Alpine Medicine and Health Tourism, Hall, Austria.
Tobias HellDepartment of Mathematics, Faculty of Mathematics, Computer Science and Physics, University of Innsbruck, Innsbruck, Austria.
Lukas SchausbergerDepartment of General and Surgical Critical Care Medicine, Medical University of Innsbruck, Innsbruck, Austria.
Christine SchlömmerDepartment of General and Surgical Critical Care Medicine, Medical University of Innsbruck, Innsbruck, Austria.
Volker SchäferDepartment of Anaesthesiology and Critical Care Medicine, Medical University of Innsbruck, Innsbruck, Austria.
Marlies LiebensteinerDepartment of General and Surgical Critical Care Medicine, Medical University of Innsbruck, Innsbruck, Austria.
Katharina SchäfflerDepartment of General and Surgical Critical Care Medicine, Medical University of Innsbruck, Innsbruck, Austria.
Bettina SchenkDepartment of General and Surgical Critical Care Medicine, Medical University of Innsbruck, Innsbruck, Austria.
Dietmar FriesDepartment of General and Surgical Critical Care Medicine, Medical University of Innsbruck, Innsbruck, Austria.
Petra InnerhoferDepartment of Anaesthesiology and Critical Care Medicine, Medical University of Innsbruck, Innsbruck, Austria.
Christian NiederwangerDepartment of Pediatrics, Pediatrics I, Medical University of Innsbruck, Innsbruck, Austria.
Innsbruck Medical University · ATUniversität Innsbruck · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSepsis is characterized by a pro-inflammatory and pro-coagulatory shift which can induce life-threatening complications. Close monitoring and risk stratification of sepsis patients is crucial for proper treatment and consequently patient outcome. Therefore, this study focuses on the response patterns of inflammatory and coagulatory parameters used in clinical routines to estimate the course of sepsis.

methodsA total of 1,110 patients diagnosed with sepsis were retrospectively analyzed to identify response patterns for risk stratification of routine parameters measured at the peak level of C-reactive protein. Cluster analysis was used and the differences in the patient characteristics and 28-day survival were assessed. Cox proportional hazards regression model for survival stratified by the clusters was performed.

resultsThe analyses revealed the parameters to have five distinct response patterns. These clusters reflect the etiology as well as the course of sepsis associated with different mortalities. Here, impairment of the liver plays a crucial role in the ability to appropriately respond to sepsis. Of the routinely measured parameters, C-reactive protein and antithrombin seem to be unspecific for stratification of septic patients. Adjusted for the individual clusters, survival was associated with an increase in fibrinogen (

conclusionsThis study reveals that patients have distinct response patterns of inflammatory and coagulatory parameters depending on disease etiology. These patterns are associated with different mortalities although the patients have similar levels of C-reactive protein. Independently of the type of response, good coagulatory capacity seems to be crucial for patient survival.

Indexed as

BilirubinCoagulationC-reactive proteinFibrinogenInflammationLiver failureMortalityPlateletsSepsisSurvival

Identifiers

PMID31275752
PMCPMC6590445
OpenAlexW2953036180

What OpenQuestion holds

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LicenceCC BY
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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.