Enhancing Early Detection of Necrotizing Soft Tissue Infections: The Role of the Laboratory Risk Indicator for Necrotizing Fasciitis (LRINEC) Score.

assessment early diagnosis infections lrinec mortality necrotizing fasciitis skin disease

Journal

Cureus
ISSN: 2168-8184
Titre abrégé: Cureus
Pays: United States
ID NLM: 101596737

Informations de publication

Date de publication:
Jun 2024
Historique:
received: 24 05 2024
accepted: 03 06 2024
medline: 5 7 2024
pubmed: 5 7 2024
entrez: 5 7 2024
Statut: epublish

Résumé

Background There is great variation in the etiology, predisposing organisms, incidence, clinical characteristics, severity, and consequences of skin and/or subcutaneous tissue infections. Extensive necrosis of the subcutaneous tissues and fascia is a characteristic of necrotizing soft tissue infections, which are frequently deadly. To change the course of treatment, this study highlights the need to find a tool that can quickly and accurately identify patients with necrotizing fasciitis (NF) and assist in making an early treatment decision. Methodology A prospective evaluation of 30 individuals with soft tissue infections was conducted using the laboratory risk indicator for necrotizing fasciitis (LRINEC). The patients were classified as low, intermediate, and high risk for the start of NF based on their LRINEC score. To assess the importance of the LRINEC score in forecasting the start of NF and its clinical consequences, patients in each group underwent appropriate management and statistical analysis. Results This study included 28 males (93.3%) and two females (6.7%). The associated p-value, recorded as 0.039, signifies statistical significance in the observed area under the receiver operating characteristic (ROC) curve. The p-value in risk categorization was found to be 0.296, which suggests that LRINEC helps in risk categorization with 100% sensitivity when used as a screening tool. Conclusion The early detection of necrotizing soft tissue infections, such as NF, is vital. The LRINEC score, based on routine lab tests, accurately distinguishes these infections. With high sensitivity and significant p-values, it helps stratify patients, guiding timely interventions and saving lives.

Identifiants

pubmed: 38966458
doi: 10.7759/cureus.61620
pmc: PMC11223662
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e61620

Informations de copyright

Copyright © 2024, Bhat et al.

Déclaration de conflit d'intérêts

Human subjects: Consent was obtained or waived by all participants in this study. The Institutional Ethical Committee, Adichunchanagiri Institute of Medical Sciences, B.G. Nagara, India issued approval AIMS/IEC/2124/2019-20. Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue. Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work. Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work. Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work.

Auteurs

Satya S Bhat (SS)

Internal Medicine, Cardiff and Vale University Health Board, Cardiff, GBR.

Pallavi H R (P)

General Surgery, Adichunchanagiri Institute of Medical Sciences, B.G. Nagara, IND.

Shanmukha Koppolu (S)

Internal Medicine, Cardiff and Vale University Health Board, Cardiff, GBR.

Mohammed M Ahmed (MM)

Urology, Queen Alexandra Hospital, Portsmouth, GBR.

Aparnna U Nair (AU)

Internal Medicine, Altnagelvin Area Hospital, Londonderry, GBR.

Madhusudhanan D (M)

General Surgery, Hindu Mission Hospital, Chennai, IND.

Naveenkumar Nallathambi (N)

Internal Medicine, Madras Medical College, Chennai, IND.

Yogesh S (Y)

Internal Medicine, Madras Medical College, Chennai, IND.
Internal Medicine, Rajiv Gandhi Government General Hospital, Chennai, IND.

Prashanth A (P)

Physiology, Mahatma Gandhi Institute of Medical Sciences, Wardha, IND.

Roshan Prasad (R)

Medicine and Surgery, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.

Gaurav Mittal (G)

Internal Medicine, Mahatma Gandhi Institute of Medical Sciences, Wardha, IND.
Research and Development, Student Network Organization, Mumbai, IND.

Classifications MeSH