Factors for a clinical prediction score to determine complication development after cellulitis diagnosis in adult patients

Author:

Tienpratarn Welawat1,Yuksen Chaiyaporn1,Pauly Joseph Daniel2,Vu Diana3,Benbourenane Anisa Noiwong3,Sangskul Nuttamon1

Affiliation:

1. Mahidol University

2. Yale University

3. George Washington University

Abstract

Abstract Background Cellulitis 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. Methods Our study is a retrospective cohort study carried out in a university-based tertiary care hospital in Bangkok, Thailand. All 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, septicemia and necrotizing fasciitis, were gathered from electronic medical records and analyzed. Results Of the 1,560 visits to this hospital, 47 cases reported at least one complication, with septicemia noted in 27 visits (6.68%) 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/m2, diabetes mellitus, body temperature ≥ 37.3°C, systolic blood pressure < 100 mmHg, and involvement of lower extremities. The predictive score was developed from these factors and was named the Ramathibodi Necrotizing Fasciitis/Septicemia (RAMA-NFS) Prediction Score. Our predictive score has an accuracy of 82.3% (95% CI 0.77-0.88). Patients in the high-risk group (RAMA NFS score > 6) have a likelihood ratio of 3.7 times to develop complications of cellulitis. Conclusion In our study, the RAMA-NFS Prediction Score predicts complications in adult patients who present with cellulitis. External validation of this predictive score is still needed for further practical application.

Publisher

Research Square Platform LLC

Reference20 articles.

1. Staphylococcus aureus is the most common identified cause of cellulitis: A systematic review;Chira S;Epidemiology & Infection,2010

2. Cellulitis: current insights into pathophysiology and clinical management;Cranendonk DR;The Netherlands journal of medicine,2017

3. Epidemiology of Cellulitis at a University-Based Tertiary Care Hospital in Thailand;Sirijatuphat R;J Med Assoc Thai,2019

4. Clinical Presentation of Soft-tissue Infections and its Management: A Study of 100 Cases;Singh B;Niger J Surg,2017

5. Clinical practice. Cellulitis;Swartz MN;The New England journal of medicine,2004

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3