A Prospective Study on Cellulitis in Adult Patients with Analysis of the Factors Related to the Response to Treatment

Mukesh  Kumar; Vivek Kumar  Roy; Swati  Priya; Anand  Dev; Krishna  Gopal; Nidhi  Arun

Authors

Mukesh Kumar Additional Professor, Department of General Surgery, Indira Gandhi Institute of Medical Science, Patna, Bihar, India
Vivek Kumar Roy Associate Professor, Department of General Surgery, Indira Gandhi Institute of Medical Science, Patna, Bihar, India
Swati Priya Senior Resident, Department of General Surgery, Indira Gandhi Institute of Medical Science, Patna, Bihar, India
Anand Dev Associate Professor, Department of Emergency Medicine, Indira Gandhi Institute of Medical Science, Patna, Bihar, India
Krishna Gopal Professor, Department of General Surgery, Indira Gandhi Institute of Medical Science, Patna, Bihar, India
Nidhi Arun Additional Professor, Department of Anaesthesiology, Indira Gandhi Institute of Medical Science, Patna, Bihar, India

Keywords:

Cellulitis, treatment response, predictors, microbiological, logistic regression, imaging studies

Abstract

Background- The hallmarks of cellulitis include heated, red, and swollen purulent or non-purulent skin patches that can develop into more serious issues like sepsis and lymphedema. Cellulitis can strike anyone at any age, but it is more frequent in middle-aged and older people, with a small male preponderance.

Objectives- The goal of this research is to clarify the many factors that affect how well cellulitis treatments work.

Materials and Methods- Patients with cellulitis diagnosed between May 2022 and April 2023 were the subjects of this prospective observational study, which was carried out at the Department of General Surgery, Indira Gandhi Institute of Medical Sciences (IGIMS), Patna, India. The study included 100 individuals in total.

Results- People under 65 made up the majority of the study population (65%), with the remaining 35 (35%) being 65 or older. There were 45 (45%) female participants and 55 (55%), male volunteers, making up the slight majority. Ninety-eight percent, or 98 people, were Indian. The logistic regression model's effectiveness in categorizing the treatment response is shown by the Receiver Operating Characteristic (ROC) Curve above.

Conclusion- The significance of a thorough strategy that takes into account patient demographics, co-morbidities, clinical characteristics, microbiological variables, and imaging results when customizing treatment for cellulitis is highlighted by this study. It emphasizes how important focused interventions are to enhancing treatment results, particularly for high-risk patients.

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