Publication:
Novel Clinical Risk Scoring Model for Predicting Amputation in Patients With Necrotizing Fasciitis: The ANF Risk Scoring System

dc.contributor.authorNatthaya Chaomuangen_US
dc.contributor.authorPatcharin Khamnuanen_US
dc.contributor.authorNipaporn Chuayunanen_US
dc.contributor.authorAcharaporn Duangjaien_US
dc.contributor.authorSurasak Saokaewen_US
dc.contributor.authorPochamana Phisalprapaen_US
dc.contributor.otherSiriraj Hospitalen_US
dc.contributor.otherUniversity of Phayaoen_US
dc.contributor.otherMonash University Malaysiaen_US
dc.contributor.otherPhayao Hospitalen_US
dc.date.accessioned2022-08-04T09:06:37Z
dc.date.available2022-08-04T09:06:37Z
dc.date.issued2021-11-19en_US
dc.description.abstractBackground: Necrotizing fasciitis (NF) is a life-threatening infection of the skin and soft tissue that spreads quickly and requires immediate surgery and medical treatment. Amputation or radical debridement of necrotic tissue is generally always required. The risks and benefits of both the surgical options are weighed before deciding whether to amputate or debride. This study set forth to create an easy-to-use risk scoring system for predicting the risk scoring system for amputation in patients with NF (ANF). Methods: This retrospective study included 1,506 patients diagnosed with surgically confirmed NF at three general hospitals in Thailand from January 2009 to December 2012. All diagnoses were made by surgeons who strictly observed the guidelines for skin and soft tissue infections produced by the Infectious Diseases Society of America. Patients were randomly allocated to either the derivation (n = 1,193) or validation (n = 313) cohort. Clinical risk factors assessed at the time of recruitment were used to create the risk score, which was then developed using logistic regression. The regression coefficients were converted into item scores, and the total score was calculated. Results: The following four clinical predictors were used to create the model: female gender, diabetes mellitus, wound appearance stage 3 (skin necrosis and gangrene), and creatinine ≥1.6 mg/dL. Using the area under the receiver operating characteristic curve (AuROC), the ANF system showed moderate power (78.68%) to predict amputation in patients with NF with excellent calibration (Hosmer-Lemeshow χ2 = 2.59; p = 0.8586). The positive likelihood ratio of amputation in low-risk (score ≤ 4) and high-risk (score ≥ 7) patients was 2.17 (95%CI: 1.66–2.82) and 6.18 (95%CI: 4.08–9.36), respectively. The ANF system showed good performance (AuROC 76.82%) when applied in the validation cohort. Conclusion: The developed ANF risk scoring system, which includes four easy to obtain predictors, provides physicians with prediction indices for amputation in patients with NF. This model will assist clinicians with surgical decision-making in this time-sensitive clinical setting.en_US
dc.identifier.citationFrontiers in Medicine. Vol.8, (2021)en_US
dc.identifier.doi10.3389/fmed.2021.719830en_US
dc.identifier.issn2296858Xen_US
dc.identifier.other2-s2.0-85120699662en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/77662
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85120699662&origin=inwarden_US
dc.subjectMedicineen_US
dc.titleNovel Clinical Risk Scoring Model for Predicting Amputation in Patients With Necrotizing Fasciitis: The ANF Risk Scoring Systemen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85120699662&origin=inwarden_US

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