Evidence map›Paper›PMID 38778270›Full record

ArticleInternational journal of emergency medicine2024

Factors and clinical prediction score for complication development after cellulitis diagnosis in adult patients.

Welawat Tienpratarn, Chaiyaporn Yuksen, Joseph Daniel Pauly, Diana Vu, Anisa Noiwong Benbourenane, Nuttamon Sangskul

Abstract read
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Article in International journal of emergency medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. Clinical predictors, microbiological profile, and outcomes of bacteremia in patients with cellulitis: a 6-year retrospective cohort study.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Welawat TienpratarnDepartment of Emergency Medicine, Faculty of Medicine Ramathibodi Hospital, Bangkok, Thailand.
Chaiyaporn YuksenDepartment of Emergency Medicine, Faculty of Medicine Ramathibodi Hospital, Bangkok, Thailand.
Joseph Daniel PaulyYale School of Medicine, Yale New Haven Hospital Emergency Department, New Haven, CT, USA. joseph.pauly@yale.edu.
Diana VuGeorge Washington School of Medicine and Health Sciences, Washington, DC, USA.
Anisa Noiwong BenbourenaneGeorge Washington School of Medicine and Health Sciences, Washington, DC, USA.
Nuttamon SangskulDepartment of Emergency Medicine, Faculty of Medicine Ramathibodi Hospital, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCellulitis is defined as a bacterial infection of the skin and subcutaneous tissue that can cause multiple complications, such as sepsis and necrotizing fasciitis. In extreme cases, it may lead to multiorgan failure and death. We sought to analyze the clinical factors that contribute to the development of complicated disease, including demographics, clinical presentation, initial vital signs, and laboratory studies.

methodsOur study is a retrospective cohort study carried out in a university-based tertiary care hospital in Bangkok, Thailand. Adult patients who presented with cellulitis from January 1, 2018, to December 31, 2022, were evaluated for eligibility and inclusion in this study. All related variables for both outcomes, bacteremia and necrotizing fasciitis, were gathered from electronic medical records and analyzed using multivariable logistic regression analysis.

resultsOf the 1,560 visits to this hospital, 47 cases reported at least one complication, with bacteremia noted in 27 visits (1.73%) and necrotizing fasciitis in 20 visits (1.27%). From the multivariable logistic regression analysis, six variables emerge as predictors of cellulitis complications. These are: Age ≥ 65 years, Body Mass Index ≥ 30 kg/m

conclusionIn our study, the RAMA-NFB Prediction Score predicts complications of necrotizing fasciitis and bacteremia in adult patients who present with cellulitis. External validation of this predictive score is still needed for further practical application.

Indexed as

BacteremiaCellulitisNecrotizing fasciitisPrediction scoreSepsis

Identifiers

PMID38778270
PMCPMC11110201

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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.