Severe and complicated soft tissue infections: a single-centre case series

Author:

Ture Zeynep1,Unuvar Gamze Kalin1,Esmaoglu Aliye2,Ulu-Kilic Aysegul1,Coruh Atilla3,Doganay Mehmet4

Affiliation:

1. Department of Infectious Diseases, Faculty of Medicine, Erciyes University, Kayseri, Turkey

2. Department of Anesthesiology and Reanimation, Erciyes University Medical Faculty, Kayseri, Turkey

3. Department of Plastic & Reconstructive Surgery, Faculty of Medicine, Erciyes University, Kayseri, Turkey

4. Department of Infectious Diseases, Faculty of Medicine, Lokman Hekim University, Ankara, Turkey

Abstract

Objective: To assess the demographic and clinical characteristics, laboratory findings, and economic burden of patients with a diagnosis of complicated skin and soft tissue infection (cSSTI). Method: The demographic and clinical characteristics, laboratory findings, surgical interventions, cost of treatment, and outcome of patients diagnosed with cSSTIs between January 2017 and December 2019 were retrospectively analysed. Results: A total of 24 patients with cSSTIs were included in the study. The median age was 53 (22–85) years, and 14 (58%) were female. The most common comorbidity was diabetes (54%). On admission, 75% of patients presented with sepsis, and 70% had a high-grade Laboratory Risk Indicator for Necrotising Fasciitis (LRINEC) score. The causative microorganism was isolated from 21 (87%) patients, and the multidrug resistance rate of Gram-negative bacteria was 50%. The median number of debridements was 3 (1–12). In all, 11 patients were followed up in the intensive care unit, and the mortality rate was 29%. The presence of confusion (p=0.025), causative Gram-negative microorganisms (p=0.009), hyponatraemia (p=0.034), the need for intensive care (p=0.001), anti-meticillin-resistant Staphylococcus aureus antibiotics (p=0.023) and the rate of antibiotic changes during treatment (p=0.019) were significantly higher in the non-survival patient group. Hyponatraemia was a significant independent risk factor for mortality (p=0.048). The median cost of per-patient treatment was $9453 USD in the non-surviving and $1536 in the surviving group. Conclusion: It is important to know possible factors and local resistance rates at the beginning of empirical antibacterial and surgical treatment. The presence of hyponatraemia, sepsis and a high LRINEC score can be considered to be the mortality predictors.

Publisher

Mark Allen Group

Subject

Nursing (miscellaneous),Fundamentals and skills

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