Evidence map›Paper›PMID 38337382›Full record

ArticleJournal of clinical medicine2024

Acidity Is an Excellent Marker of Infection in Hip and Knee Arthroplasty.

Tobiáš Judl, Stanislav Popelka, Elena Tomšík, Martin Hrubý, Matěj Daniel, Jaroslav Fojt, Pavel Melicherčík, Ivan Landor, David Jahoda

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
7.4field-weighted citation impact, top 2% 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

9 citing papers in PubMed, 13 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

9 authors at 4 institutions in 1 country.

Tobiáš JudlDepartment of Orthopaedics, 1st Faculty of Medicine, Charles University in Prague and University Hospital in Motol, V Úval 84, 150 06 Prague 5, Czech Republic.ORCID 0000-0002-6074-3709
Stanislav PopelkaDepartment of Orthopaedics, 1st Faculty of Medicine, Charles University in Prague and University Hospital in Motol, V Úval 84, 150 06 Prague 5, Czech Republic.ORCID 0000-0002-2875-5208
Elena TomšíkInstitute of Macromolecular Chemistry CAS, Heyrovsého nám. 2, 162 00 Prague 6, Czech Republic.ORCID 0000-0002-1749-1091
Martin HrubýInstitute of Macromolecular Chemistry CAS, Heyrovsého nám. 2, 162 00 Prague 6, Czech Republic.ORCID 0000-0002-5075-261X
Matěj DanielFaculty of Mechanical Engineering, Czech Technical University, Technická 4, 166 07 Prague 6, Czech Republic.
Jaroslav FojtDepartment of Metals and Corrosion Engineering, University of Chemistry and Technology, Technická 5, 166 28 Prague 6, Czech Republic.ORCID 0000-0002-1425-5464
Pavel MelicherčíkDepartment of Orthopaedics, 1st Faculty of Medicine, Charles University in Prague and University Hospital in Motol, V Úval 84, 150 06 Prague 5, Czech Republic.
Ivan LandorDepartment of Orthopaedics, 1st Faculty of Medicine, Charles University in Prague and University Hospital in Motol, V Úval 84, 150 06 Prague 5, Czech Republic.
David JahodaDepartment of Orthopaedics, 1st Faculty of Medicine, Charles University in Prague and University Hospital in Motol, V Úval 84, 150 06 Prague 5, Czech Republic.
Charles University · CZCzech Academy of Sciences, Institute of Macromolecular Chemistry · CZCzech Technical University in Prague · CZUniversity of Chemistry and Technology, Prague · CZ

Funding

Czech Research Council NU-20-06-00424
6 · The paper itself

Abstract

backgroundThe diagnosis of joint replacement infection is a difficult clinical challenge that often occurs when the implant cannot be salvaged. We hypothesize that the pH value of synovial fluid could be an important indicator of the inflammatory status of the joint. However, in the literature, there is a lack of data on the pH changes in hip and knee joint replacements and their relation to infection and implant failure. In this study, we aimed to measure the pH levels of synovial fluid in patients with hip and knee joint replacements. We also investigated the potential of pH measurement as a diagnostic tool for joint replacement infection. In this study, we recorded the pH values to be 7.55 and 7.46 in patients where MATERIALS AND

methodsIn our cohort of 155 patients with implanted hip (THA; n = 85) or knee (TKA; n = 70) joint replacements, we conducted a prospective study with a pH measurement. Out of the whole cohort, 44 patients had confirmed joint replacement infection (28.4%) (44/155). In 111 patients, infection was ruled out (71.6%) (111/155). Joint replacement infection was classified according to the criteria of the Musculoskeletal Infection Society (MSIS) from 2018. Based on the measured values, we determined the cut-off level for the probability of ongoing inflammation. We also determined the sensitivity and specificity of the measurement.

resultsThe group of patients with infection (n = 44) had a significantly lower synovial fluid pH (pH = 6.98 ± 0.48) than the group of patients with no infection (n = 111, pH = 7.82 ± 0.29,

conclusionsOur results confirm that it is appropriate to include a pH measurement in the diagnostic spectrum of hip and knee replacements. This diagnostic approach has the potential to provide continuous in vivo feedback, facilitated by specialized biosensors. The advantage of this method is the future incorporation of a pH-detecting sensor into intelligent knee and hip replacements that will assess pH levels over time. By integrating these biosensors into intelligent implants, the early detection of joint replacement infections could be achieved, enhancing proactive intervention strategies.

Indexed as

infection detectionpHprosthetic joint infection (PJI)synovial fluid

Identifiers

PMID38337382
PMCPMC10856596
OpenAlexW4391221173

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.