Search Results (8)

Background: Necrotizing soft tissue infections (NSTIs) remain a significant source of in-hospital morbidity and mortality in the U.S. and around the world, yet the need for a reliable tool to assess prognosis early in treatment remains unaddressed in the current medical literature. Many scoring systems have been developed; however, none have proven to be entirely reliable for use in patients with NSTIs. Methods: Using collected data through a PubMed and Google Scholar search, this review provides an overview of five scoring systems—LRINEC, platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), NECROSIS, and POTTER—while highlighting potential areas for further improvement of these scoring systems or the conception of a novel, more effective system. Results: The most widely used scoring tool, the Laboratory Risk Indicator for Necrotizing Fasciitis Score (LRINEC), lacks high sensitivity and requires supplementation of other clinical parameters. The NECROSIS score offers a potentially improved system, though it lacks necessary external validation. NLR and PLR provide reliable measurements for immune response; however, they lack specificity for NSTI and require further research to determine parameters like cutoff values. The POTTER score, though not valid for use in patients with NSTI, poses a novel system utilizing AI technology and machine learning. Conclusions: This review concludes that further development of a reliable scoring system that accounts for the many factors involved in NSTI is required and may benefit from an integrative model like the POTTER score. Full article

Objectives: Fournier’s gangrene is an aggressive, rapidly progressing, and life-threatening necrotizing fasciitis of the perineal and genital regions. Various scoring systems have been developed for predicting survival and prognosis in Fournier’s gangrene. This retrospective study aimed to evaluate the effectiveness of the newly developed Fournier’s gangrene mortality index (FGMI) in predicting mortality associated with Fournier’s gangrene. Methods: The study included patients over the age of 18 years who were followed-up with a diagnosis of Fournier’s gangrene in the general surgery clinics of three different hospitals in Şanlıurfa province between 2014 and 2024. The patients included in this study were divided into two groups: deceased (n = 20) and surviving (n = 149). In FGMI, the parameters used were age, creatinine level, albumin level, lymphocyte percentage, and neutrophil-to-lymphocyte ratio. Based on the total score and risk assessment, <5 points were categorized as low-to-moderate mortality risk and ≥5 points as high mortality risk. Results: A total of 169 patients with a diagnosis of Fournier’s gangrene were included in the study; 87 were men (51.48%). The median age of all patients was 53 (40–63) years; 20 patients (11.8%) died. The Laboratory Risk Indicator for Necrotizing Fasciitis (LRINEC) score did not show a statistically significant difference between the deceased and surviving groups (p = 0.5). Compared to the survivors, the deceased had higher neutrophil counts, neutrophil percentages, neutrophil-to-lymphocyte ratios, platelet-to-lymphocyte ratios, and C-reactive protein-to-albumin ratios, whereas lymphocyte counts, lymphocyte percentages, eosinophil counts, eosinophil percentages, monocyte counts, and monocyte percentages were lower, and these differences were statistically significant. According to receiver operating characteristic (ROC) analysis, the ROC-area under the curve for predicting mortality based on an FGMI score of ≥5 was 0.88 (95% CI: 0.80–0.95) with a sensitivity of 90% and a specificity of 70% (p < 0.001). Univariate risk analysis was performed, and the odds ratio revealed that mortality risk in patients followed-up for Fournier’s gangrene with a FGMI score of ≥5 was 20 times higher (4.48–90.91) (p < 0.001). Conclusions: The results reveal that the FGMI score is a scoring system that can predict mortality at the initial clinical presentation of patients with Fournier’s gangrene. Another important finding of the present study is that the LRINEC score was not sufficiently effective in predicting mortality. Full article

Necrotizing fasciitis (NF) is a severe and life-threatening soft tissue infection that requires timely and accurate diagnosis to improve patient outcomes. The early diagnosis of NF remains challenging due to its similarity to other subcutaneous soft tissue infections like cellulitis. This study aims to employ machine learning techniques to differentiate NF from cellulitis and enhance the diagnostic accuracy of NF by developing a modified LRINEC (MLRINEC) score. These modifications aimed to improve the sensitivity and specificity of NF diagnosis. The study utilized three machine learning classifiers—Logistic Regression, decision tree, and Random Forest—to assess their effectiveness in distinguishing between NF and cellulitis cases. The MLRINEC score was developed by incorporating six key blood test parameters: creatinine, hemoglobin, platelet count, sodium, white blood cell count, and C-reactive protein using laboratory data from Maha Sarakham Hospital in Northeastern Thailand. Our findings indicate that the decision tree classifier demonstrated superior performance, achieving the highest recall, particularly in accurately identifying NF cases. A feature importance analysis revealed that hemoglobin levels and white blood cell counts were the most critical factors influencing the model’s predictions. The platelet count (PT), C-reactive protein (CRP), and creatinine (CT) also played important roles, while sodium levels (NA) were the least influential. The MLRINEC score demonstrates high accuracy in classifying NF and cellulitis patients, paving the way for improved diagnostic protocols in clinical settings. Full article

Background and objectives: Bullous pemphigoid (BP), the most common subepidermal autoimmune skin blistering disease (AIBD) has an estimated annual incidence of 2.4 to 42.8 new cases per million in different populations, designating it an orphan disease. Characterized by disruption of the skin barrier combined with therapy-induced immunosuppression, BP could pose a risk for skin and soft tissue infections (SSTI). Necrotizing fasciitis (NF) is a rare necrotizing skin and soft tissue infection, with a prevalence of 0.40 cases per 100,000 to 15.5 cases per 100,000 population, often associated with immunosuppression. Low incidences of NF and BP classify them both as rare diseases, possibly contributing to the false inability of making a significant correlation between the two. Here, we present a systematic review of the existing literature related to the ways these two diseases correlate. Materials and methods: This systematic review was conducted according to the PRISMA guidelines. The literature review was conducted using PubMed (MEDLINE), Google Scholar, and SCOPUS databases. The primary outcome was prevalence of NF in BP patients, while the secondary outcome was prevalence and mortality of SSTI in BP patients. Due to the scarcity of data, case reports were also included. Results: A total of 13 studies were included, six case reports of BP complicated by NF with six retrospective studies and one randomized multicenter trial of SSTIs in BP patients. Conclusions: Loss of skin integrity, immunosuppressive therapy, and comorbidities commonly related to BP patients are risk factors for necrotizing fasciitis. Evidence of their significant correlation is emerging, and further studies are deemed necessary for the development of BP-specific diagnostic and treatment protocols. Full article

Background: The Laboratory Risk Indicator for Necrotizing Fasciitis score (LRINEC) is a simple tool used to support early diagnosis of Necrotizing Fasciitis (NF). The aim of this study was to investigate whether the LRINEC is suitable as a progression and prognosis parameter in patients with NF. Methods: In this retrospective study, laboratory data of 70 patients with NF were analyzed. The LRINEC was calculated for every patient at the time of hospital admission and postoperatively after surgical interventions. Furthermore, the LRINEC was examined as a prognostic factor for survival. Results: The overall lethality of our series was 20 out of 70 (28.6%). A highly significant LRINEC decrease was found for serial debridements. The largest decrease was observed after the first debridement. There was a significant difference between the initial LRINEC of deceased and surviving patients. A cut off value of >6.5 (7 LRINEC points) resulted in an optimal constellation of sensitivity (70%) and specificity (60%) to predict lethality in patients with NF. Conclusions: The LRINEC significantly decreases after surgical debridement. An initial LRINEC equal or greater than seven is an independent prognostic marker for lethality and can help to identify high-risk patients. Full article

Background: Necrotizing fasciitis (NF) is a rapidly progressive inflammatory infection of the soft tissue (also known as the fascia) with a secondary necrosis of the subcutaneous tissues, leading to a systemic inflammatory response syndrome (SIRS), shock and eventually death despite the availability of current medical interventions. The clinical management of this condition is associated with a significant amount of morbidity with a high rate of mortality. The prognosis of the disease is affected by multiple factors, which include the virulence of the causative pathogen, local host immunity, local wound factors and empirical antibiotics used. The local trends in the prescription of empirical antibiotics are often based on clinical practice guidelines (CPG), the distribution of the causative microorganism and the cost-effectiveness of the drug. However, there appears to be a paucity of literature on the empirical antibiotic of choice when dealing with necrotizing fasciitis in the clinical setting. This paper will outline common causative microorganisms and current trends of prescription in two tertiary centres in Central Malaysia. Methods: This was a cross-sectional study using retrospective data of patients treated for NF collected from two tertiary care hospitals (Hospital Seremban and Hospital Ampang) in Central Malaysia. A total of 420 NF patients were identified from the five years of retrospective data obtained from the two hospitals. Results: The top three empirical antibiotics prescribed are ampicillin + sulbactam (n = 258; 61.4%), clindamycin (n = 55; 13.1%) and ceftazidime (n = 41; 9.8%). The selection of the antibiotic significantly impacts the outcome of NF. The top three causative pathogens for NF are Streptococcus spp. (n = 79; 18.8%), Pseudomonas aeruginosa (n = 61; 14.5%) and Staphylococcus spp. (n = 49; 11.7%). The patients who received antibiotics had 0.779 times lower chances of being amputated. Patients with a lower laboratory risk indicator for necrotizing fasciitis (LRINEC) score had 0.934 times lower chances of being amputated. Conclusions: In this study, the most common empirical antibiotic prescribed was ampicillin + sulbactam followed by clindamycin and ceftazidime. The antibiotics prescribed lower the risk of having an amputation and, hence, a better prognosis of the disease. Broad-spectrum empirical antibiotics following surgical debridement reduce the mortality rate of NF. Full article

We developed a new magnetic resonance indicator for necrotizing fasciitis (MRINEC) algorithm for differentiating necrotizing fasciitis (NF) from severe cellulitis (SC). All adults with suspected NF between 2010 and 2018 in a tertiary hospital in South Korea were enrolled. Sixty-one patients were diagnosed with NF and 28 with SC. Among them, 34 with NF and 15 with SC underwent magnetic resonance imaging (MRI). The MRINEC algorithm, a two-step decision tree including T2 hyperintensity of intermuscular deep fascia and diffuse T2 hyperintensity of deep peripheral fascia, diagnosed NF with 94% sensitivity (95% confidence interval (CI), 80–99%) and 60% specificity (95% CI, 32–84%). The algorithm accurately diagnosed all 15 NF patients with a high (≥8) laboratory risk indicator for necrotizing fasciitis (LRINEC) score. Among the five patients with an intermediate (6–7) LRINEC score, sensitivity and specificity were 100% (95% CI, 78–100%) and 0% (95% CI, 0–84%), respectively. Finally, among the 29 patients with a low (≤5) LRINEC score, the algorithm had a sensitivity and specificity of 88% (95% CI, 62–98%) and 69% (95% CI, 39–91%), respectively. The MRINEC algorithm may be a useful adjuvant method for diagnosing NF, especially when NF is suspected in patients with a low LRINEC score. Full article

Necrotizing fasciitis is a severe and progressive infection of deep soft tissues which results in destruction of the fascia and overlying subcutaneous fat. We report a case of a 45-year-old diabetic gentleman who initially presented with left shoulder pain, which was treated symptomatically. Upon representation, he had fever and the pain extended to his left upper back. There was a warm, firm and mildly tender purplish swelling on his mid to the left upper back. Blood tests revealed significantly elevated white cell counts and C-reactive protein. A CT thorax showed extensive soft tissue gas within the deep and superficial fascial layers of his left upper back. Necrotizing fasciitis was confirmed intraoperatively. The diagnosis of this condition is often difficult as early symptoms can be mild and nonspecific. A high Laboratory Risk Indicator for NECrotizing fasciitis (LRINEC) score may be helpful to rule in this diagnosis and guide further management. Full article