ArticleJB & JS open access
Measures of Admission Immunocoagulopathy as an Indicator for In-Hospital Mortality in Patients with Necrotizing Fasciitis: A Retrospective Study.
Article in JB & JS open access. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 7 citations in OpenAlex.
- Article
- Diagnostic strategies in necrotizing soft tissue infections: from clinical scores to multi-omics and machine learning.Burns & trauma · 2026Review
- Cox-Based Prediction of 28-Day Mortality in Necrotizing Soft Tissue Infections: Development and External Validation.Infection and drug resistance · 2026Article
- Machine learning model to predict mortality in patients with skin and soft tissue infection in emergency department.Scandinavian journal of trauma, resuscitation and emergency medicine · 2025Article
- Predictive Models for Necrotizing Soft Tissue Infections: Are the Available Scores Trustable?Journal of clinical medicine · 2025Review
- Admission Neutrophil-to-Lymphocyte Ratio Is Superior to WBC Count at Predicting the Presence and Severity of Pediatric Musculoskeletal Infection.The Journal of bone and joint surgery. American volume · 2025Article
- Maintaining the balance: the critical role of plasmin activity in orthopedic surgery injury response.Journal of thrombosis and haemostasis : JTH · 2023Review
- Is Neutrophil Lymphocyte Ratio, Platelet Lymphocyte Ratio or Red Blood Cell Distribution Width Associated with Risk of Mortality in Patients with Necrotizing Fasciitis.Infection and drug resistance · 2023Article
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Necrotizing fasciitis is a rapidly progressive infection with a high mortality rate. Pathogens evade the host containment and bactericidal mechanisms by hijacking the coagulation and inflammation signaling pathways, leading to their rapid dissemination, thrombosis, organ dysfunction, and death. This study examines the hypothesis that measures of immunocoagulopathy upon admission could aid in the identification of patients with necrotizing fasciitis at high risk for in-hospital mortality. Methods: Demographic data, infection characteristics, and laboratory values from 389 confirmed necrotizing fasciitis cases from a single institution were analyzed. A multivariable logistic regression model was built on admission immunocoagulopathy measures (absolute neutrophil, absolute lymphocyte, and platelet counts) and patient age to predict in-hospital mortality. Results: The overall in-hospital mortality rate was 19.8% for the 389 cases and 14.6% for the 261 cases with complete measures of immunocoagulopathy on admission. A multivariable logistic regression model indicated that platelet count was the most important predictor of mortality, followed by age and absolute neutrophil count. Greater age, higher neutrophil count, and lower platelet count led to significantly higher risk of mortality. The model discriminated well between survivors and non-survivors, with an overfitting-corrected C-index of 0.806. Conclusions: This study determined that measures of immunocoagulopathy and patient age at admission effectively prognosticated the in-hospital mortality risk of patients with necrotizing fasciitis. Given the accessibility of neutrophil-to-lymphocyte ratio and platelet count measurements determined from a simple complete blood-cell count with differential, future prospective studies examining the utility of these measures are warranted. Level of Evidence: Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.
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