Evidence map›Paper›PMID 40102780›Full record

ArticleBMC infectious diseases2025

Survival and risk factor analysis in patients with septic arthritis: a retrospective study of 192 cases.

Melanie Schindler, Lorenz Huber, Nike Walter, Josina Straub, Siegmund Lang, Dominik Szymski, Susanne Baertl, Dietmar Dammerer, Volker Alt, Markus Rupp

Abstract read
In one paragraph

Article in BMC infectious diseases, 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
  2. [Acute diagnostics-focus on septic arthritis].Zeitschrift fur Rheumatologie · 2026
    Review
  3. Article
  4. Article
  5. Primary septic arthritis in the elderly - a forgotten killer? Five-year survival and risk factors in a retrospective cohort study.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Bacterial and host interactions inFrontiers in microbiology · 2025
    Review
  10. Review
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

10 authors.

Melanie SchindlerDivision of Orthopaedics and Traumatology, University Hospital Krems, Karl Landsteiner University of Health Sciences, Dr. Karl-Dorrek-Straße 30, Krems, 3500, Austria.
Lorenz HuberDepartment of Trauma Surgery, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, Regensburg, 93053, Germany.
Nike WalterDepartment of Trauma Surgery, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, Regensburg, 93053, Germany.
Josina StraubDepartment of Trauma Surgery, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, Regensburg, 93053, Germany.
Siegmund LangDepartment of Trauma Surgery, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, Regensburg, 93053, Germany.
Dominik SzymskiDepartment of Trauma Surgery, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, Regensburg, 93053, Germany.
Susanne BaertlDepartment of Trauma Surgery, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, Regensburg, 93053, Germany.
Dietmar DammererDivision of Orthopaedics and Traumatology, University Hospital Krems, Karl Landsteiner University of Health Sciences, Dr. Karl-Dorrek-Straße 30, Krems, 3500, Austria.
Volker AltDepartment of Trauma Surgery, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, Regensburg, 93053, Germany.
Markus RuppDepartment of Trauma Surgery, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, Regensburg, 93053, Germany. Markus.Rupp@chiru.med.uni-giessen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeptic arthritis (SA) presents a complex clinical challenge, often resulting in significant morbidity and mortality. This study aimed to (1) assess overall mortality rates and (2) identify potential factors contributing to increased mortality risk in patients with SA.

methodsThis retrospective study on SA patients treated at a German university hospital between January 1, 2011, and December 31, 2021. Patients were identified using International Classification of Diseases (ICD)-10 codes for septic arthritis, specifically "M00.-". The study evaluated mortality rates and analyzed comorbidities, pathogens, and other potential risk factors. Kaplan-Meier survival curves and odds ratios (OR) were calculated to assess mortality risk.

resultsIn a cohort of 192 patients diagnosed with SA, 64 patients (33.3%) died during a mean follow-up period of 54.4 ± 42 months. The overall mortality rate was 17.5% at one year, 19.9% at two years, and 28.3% at five years. Patients aged 65 years or older, as well as those with arterial hypertension, congestive heart failure, chronic renal disease, chronic liver disease, malignancy, steroid use and immunosuppression showed significantly higher mortality rates (p < 0.05). Chronic renal disease (OR = 2.80), malignancy (OR = 3.40), and chronic heart failure (OR = 2.62) were identified as significant notably risk factors for mortality.

conclusionThis study highlights a notably high mortality rate among vulnerable patients with SA, particularly those with pre-existing comorbidities. Recognizing and addressing these risk factors early could improve patient outcomes. These results unterscore the need for close monitoring of SA patients, particularly those with chronic organ conditions, and timely intervention for sepsis to reduce mortality risk.

Indexed as

Arthritis, InfectiousAdultAgedAged, 80 and overComorbidityFemaleGermanyHumansKaplan-Meier EstimateMaleMiddle AgedRetrospective StudiesRisk FactorsComorbiditiesComplicationMortalitySeptic arthritis

Identifiers

PMID40102780
PMCPMC11916306

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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.