Evidence map›Paper›PMID 41699504›Full record

ArticleBMC infectious diseases2026

Distinct clinical profiles of nongonococcal gram-negative septic arthritis: a retrospective analysis from a tertiary center.

Athit Niramaitaworn, Atibordee Meesing, Patnarin Pongkulkiat, Natapong Manomaiwong, Wantin Sribenjalux

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Article in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Athit NiramaitawornDepartment of Internal Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Atibordee MeesingDivision of Infectious Diseases and Tropical Medicine, Department of Internal Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, 40002, Thailand.
Patnarin PongkulkiatDivision of Rheumatology, Department of Internal Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Natapong ManomaiwongDivision of Infectious Diseases and Tropical Medicine, Department of Internal Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, 40002, Thailand.
Wantin SribenjaluxDivision of Infectious Diseases and Tropical Medicine, Department of Internal Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, 40002, Thailand. wantinmd34@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeptic arthritis is life-threatening, with gram-positive bacteria as the primary cause. However, gram-negative infections are more prevalent in Asia, often resulting in inadequate empirical therapy and higher mortality. The factors linked to gram-negative septic arthritis remain poorly understood. Our aim was to investigate the prevalence, clinical characteristics, and predictive factors of nongonococcal gram-negative septic arthritis in the northeastern region of Thailand.

methodsWe conducted a retrospective study by analyzing medical records from Srinagarind Hospital, a 1,500-bed university hospital in northeastern Thailand, covering the period from January 1, 2015, to October 24, 2024.

resultsA total of 194 patients were included, of whom 67 (34.5%) were infected with gram-negative bacteria. The most common causative agent was Burkholderia pseudomallei (11.3%), followed by Escherichia coli (7.2%). Patients with gram-negative septic arthritis had a greater risk of requiring intensive care unit (ICU) or semi-ICU admission. Multivariate analysis revealed that diabetes mellitus, pyuria, and the absence of bacteria on synovial fluid Gram-stain were significant risk factors for gram-negative septic arthritis. In contrast, hypertension and upper joint involvement were associated with septic arthritis caused by gram-positive bacteria. Additionally, we observed that gram-negative-infected patients were more likely to receive ineffective empirical antibiotics.

conclusionsThis study revealed a greater prevalence of nongonococcal gram-negative septic arthritis in the northeastern region of Thailand. Several risk factors, along with distinct clinical and laboratory characteristics, have been identified, which may help guide the selection of empiric antibiotics for more effective treatment. CLINICAL TRIALS REGISTRY: Retrospectively registered at Thai Clinical Trials Registry. The study was reviewed and approved on 13/02/2025. TCTR identification number is TCTR20250213003.

Indexed as

Arthritis, InfectiousGram-Negative BacteriaGram-Negative Bacterial InfectionsAdultAgedAnti-Bacterial AgentsFemaleHumansMaleMiddle AgedPrevalenceRetrospective StudiesRisk FactorsTertiary Care CentersThailandAnti-Bacterial AgentsBurkholderia pseudomalleiICUIntensive care unitNongonococcalSeptic arthritisSynovial fluid

Identifiers

PMID41699504
PMCPMC13014954

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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.