Can’t Miss Infections

Tartaglia, Kim

doi:10.1016/j.mcna.2021.12.008

Cited by 2 publications

(3 citation statements)

References 11 publications

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“…Additionally, McGillicuddy et al 8 reported the poor sensitivity and specificity of CT for diagnosing gas in soft tissues at 44.1% and 61.1%, 72 respectively. Therefore, these lines of evidence suggest that the observation of gas accumulation during CT needs to be considered in conjunction with other tests 49,73,74 . Subfascial and intermuscular fluid can also be seen on CT, which may reflect early manifestations of NF 58 .…”

Section: Diagnostic Criteria Based On Imaging Technologymentioning

confidence: 99%

“…Therefore, these lines of evidence suggest that the observation of gas accumulation during CT needs to be considered in conjunction with other tests. 49,73,74 Subfascial and intermuscular fluid can also be seen on CT, which may reflect early manifestations of NF. 58 In a study by Bruls et al, 75 deep fascial fluid accumulation was the only CT imaging feature significantly associated with necrotizing soft tissue infection (NSTI), with a sensitivity of 46.2% and specificity of 94.1% in diagnosing NSTI.…”

Section: Computed Tomographymentioning

confidence: 99%

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Early diagnosis of necrotizing fasciitis: Imaging techniques and their combined application

Wei,

Huo,

Yang

et al. 2023

International Wound Journal

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Necrotizing fasciitis is a clinical, surgical emergency characterized by an insidious onset, rapid progression, and a high mortality rate. The disease's mortality rate has remained high for many years, mainly because of its atypical clinical presentation, which prevents many cases from being diagnosed early and accurately, resulting in patients who may die from uncontrollable septic shock and multi‐organ failure. But unfortunately, no diagnostic indicator can provide a certain early diagnosis of NF, and clinical judgement of NF is still based on the results of various ancillary tests combined with the patient's medical history, clinical manifestations, and the physician's experience. This review provides a brief overview of the epidemiological features of NF and then discusses the most important laboratory indicators and scoring systems currently employed to diagnose NF. Finally, the latest progress of several imaging techniques in the early diagnosis of NF and their combined application with other diagnostic indices are highlighted. We point out promising research directions based on an objective evaluation of the advantages and shortcomings of different methods, which provide a basis for further improving the early diagnosis of NF.

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Section: Diagnostic Criteria Based On Imaging Technologymentioning

confidence: 99%

Section: Computed Tomographymentioning

confidence: 99%

Early diagnosis of necrotizing fasciitis: Imaging techniques and their combined application

Wei,

Huo,

Yang

et al. 2023

International Wound Journal

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“…Characterized by distinct, raised, erythematous patches, it stands out against the surrounding healthy skin ( Swartz, 2004 ; Raff and Kroshinsky, 2016 ). Typically manifesting in the lower limbs and facial areas ( Tartaglia, 2022 ) ( Tartaglia, 2022 ), erysipelas is mainly caused by Group A Streptococcus, entering the body through minor injuries to the skin or mucous membranes. Occasionally, other types of Streptococci (such as groups B, C, G) or Staphylococcus aureus may also be involved ( Dalal et al., 2017 ).…”

Section: Introductionmentioning

confidence: 99%

Gut microbiota’s influence on erysipelas: evidence from a two-sample Mendelian randomization analysis

Bao,

Wang,

et al. 2024

Front. Cell. Infect. Microbiol.

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BackgroundPrevious studies have suggested a link between gut microbiota and skin diseases, including erysipelas, an inflammatory skin condition. Despite this, the precise nature of the relationship between erysipelas and gut microbiota remains unclear and subject to debate.MethodsWe conducted a Mendelian Randomization (MR) analysis using publicly available summary data from genome-wide association studies (GWAS) to explore the potential causal relationship between gut microbiota and erysipelas. Instrumental variables (IVs) were identified using a comprehensive set of screening methods. We then performed MR analyses primarily using the Inverse Variance Weighted (IVW) method, complemented by alternative approaches such as MR Egger, weighted median, simple mode, and weighted mode. A series of sensitivity analyses, including Cochran’s Q test, MR-Egger intercept test, Mendelian Randomization Pleiotropy RESidual Sum and Outlier (MR-PRESSO) test, and a leave-one-out test, were executed to ensure the robustness and validity of our findings.ResultsWe identified potential associations between erysipelas and various gut microbiota, including Alcaligenaceae (OR 1.23; 95% CI 1.06-1.43; p=0.006), Rikenellaceae (OR 0.77; 95% CI 0.67-0.90; p=0.001), and others. Notably, associations with Actinomyces, Lachnospiraceae NC2004 group, Ruminiclostridium 9, Ruminococcaceae UCG014, Odoribacter, and Actinobacteria were also observed. Sensitivity analyses confirmed the robustness of these associations.ConclusionOur MR analysis suggests both potentially beneficial and harmful causal relationships between various gut microbiota and the incidence of erysipelas. This study provides new theoretical and empirical insights into the pathogenesis of erysipelas and underscores the potential for innovative preventive and therapeutic approaches.

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Can’t Miss Infections

Cited by 2 publications

References 11 publications

Early diagnosis of necrotizing fasciitis: Imaging techniques and their combined application

Early diagnosis of necrotizing fasciitis: Imaging techniques and their combined application

Gut microbiota’s influence on erysipelas: evidence from a two-sample Mendelian randomization analysis

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