Literature DB >> 32102045

Predictors of mortality, limb loss, and discharge disposition at admission among patients with necrotizing skin and soft tissue infections.

Dara L Horn1, Jolie Shen, Emma Roberts, Theresa N Wang, Kevin S Li, Grant E O'Keefe, Joseph Cuschieri, Eileen M Bulger, Bryce R H Robinson.   

Abstract

BACKGROUND: Necrotizing soft tissue infections (NSTI) represent a heterogeneous group of rapidly progressive skin and soft tissue infections associated with significant morbidity and mortality. Efforts to identify factors associated with death have produced mixed results, and little or no data is available for other adverse outcomes. We sought to determine whether admission variables were associated with mortality, limb loss, and discharge disposition in patients with NSTI.
METHODS: We analyzed prospectively collected data of adult patients with surgically confirmed NSTI from an NSTI registry maintained at a quaternary referral center. Factors independently associated with mortality, amputation, and skilled nursing facility discharge were identified using logistic regression.
RESULTS: Between 2015 and 2018, 446 patients were identified. The median age was 55 years (interquartile range, 43-62). The majority of patients were male (65%), white (77%), and transferred from another facility (90%). The perineum was most commonly involved (37%), followed by the lower extremity (34%). The median number of operative debridements was 3 (interquartile range, 2-4). Overall mortality was 15%, and 21% of extremity NSTI patients required amputation. Age greater than 60 years; creatinine greater than 2 mg/dL; white blood cell count greater than 30 x 10^ /μl, platelets less than 150 × 10/μL, and clostridial involvement were independently associated with greater odds of death; perineal involvement was associated with lower odds of death. Age greater than 60 years; sex, male; nonwhite race; diabetes; chronic wound as etiology; leg involvement; transfer status; and sodium, less than 130 mEq/L were independently associated with amputation. Age greater than 60 years; sex, female; nonwhite race; perineal involvement; and amputation were associated with skilled care facility discharge.
CONCLUSION: Necrotizing soft tissue infections are a heterogeneous group of infections involving significantly different patient populations with different outcomes; efforts to differentiate and predict adverse outcomes in NSTI should include laboratory data, comorbidities, infection site, and/or etiology to improve predictions and better account for this heterogeneity. LEVEL OF EVIDENCE: Prognostic, Level III.

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Year:  2020        PMID: 32102045      PMCID: PMC7311238          DOI: 10.1097/TA.0000000000002636

Source DB:  PubMed          Journal:  J Trauma Acute Care Surg        ISSN: 2163-0755            Impact factor:   3.697


  26 in total

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Authors:  Sarah Elfeky; Pegah Golabi; Munkhzul Otgonsuren; Svetolik Djurkovic; Mary E Schmidt; Zobair M Younossi
Journal:  J Crit Care       Date:  2017-01-20       Impact factor: 3.425

2.  The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3).

Authors:  Mervyn Singer; Clifford S Deutschman; Christopher Warren Seymour; Manu Shankar-Hari; Djillali Annane; Michael Bauer; Rinaldo Bellomo; Gordon R Bernard; Jean-Daniel Chiche; Craig M Coopersmith; Richard S Hotchkiss; Mitchell M Levy; John C Marshall; Greg S Martin; Steven M Opal; Gordon D Rubenfeld; Tom van der Poll; Jean-Louis Vincent; Derek C Angus
Journal:  JAMA       Date:  2016-02-23       Impact factor: 56.272

3.  Predictors of mortality for necrotizing soft-tissue infections: a retrospective analysis of 64 cases.

Authors:  Andreas Krieg; Levent Dizdar; Pablo Emilio Verde; Wolfram Trudo Knoefel
Journal:  Langenbecks Arch Surg       Date:  2014-01-11       Impact factor: 3.445

Review 4.  Necrotizing Soft Tissue Infections: A Review.

Authors:  Brian G Harbrecht; Nick A Nash
Journal:  Surg Infect (Larchmt)       Date:  2016-08-02       Impact factor: 2.150

5.  Development and validation of a necrotizing soft-tissue infection mortality risk calculator using NSQIP.

Authors:  Iris Faraklas; Gregory J Stoddard; Leigh A Neumayer; Amalia Cochran
Journal:  J Am Coll Surg       Date:  2013-04-28       Impact factor: 6.113

6.  Use of admission serum lactate and sodium levels to predict mortality in necrotizing soft-tissue infections.

Authors:  Arezou Yaghoubian; Christian de Virgilio; Christine Dauphine; Roger J Lewis; Matthew Lin
Journal:  Arch Surg       Date:  2007-09

7.  Contemporary Trends in the Inpatient Management of Fournier's Gangrene: Predictors of Length of Stay and Mortality Based on Population-based Sample.

Authors:  James Furr; Tanya Watts; Ryan Street; Brian Cross; Gennady Slobodov; Sanjay Patel
Journal:  Urology       Date:  2016-09-28       Impact factor: 2.649

8.  The LRINEC (Laboratory Risk Indicator for Necrotizing Fasciitis) score: a tool for distinguishing necrotizing fasciitis from other soft tissue infections.

Authors:  Chin-Ho Wong; Lay-Wai Khin; Kien-Seng Heng; Kok-Chai Tan; Cheng-Ooi Low
Journal:  Crit Care Med       Date:  2004-07       Impact factor: 7.598

9.  Predictors of mortality and limb loss in necrotizing soft tissue infections.

Authors:  Samuel Schwartz; Elizabeth Kightlinger; Christian de Virgilio; Michael de Virgilio; Amy Kaji; Angela Neville; Robert Bennion; Darin J Saltzman
Journal:  Am Surg       Date:  2013-10       Impact factor: 0.688

10.  Factors Affecting Mortality Following Necrotizing Soft-Tissue Infections: Randomized Prospective Study.

Authors:  Sukha Ram Barupal; Murari Lal Soni; Rekha Barupal
Journal:  J Emerg Trauma Shock       Date:  2019 Apr-Jun
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  2 in total

1.  Outcomes of β-Hemolytic Streptococcal Necrotizing Skin and Soft-tissue Infections and the Impact of Clindamycin Resistance.

Authors:  Dara L Horn; Emma A Roberts; Jolie Shen; Jeannie D Chan; Eileen M Bulger; Noel S Weiss; John B Lynch; Chloe Bryson-Cahn; Bryce R H Robinson
Journal:  Clin Infect Dis       Date:  2021-12-06       Impact factor: 9.079

2.  Incidence and mortality of necrotizing fasciitis in The Netherlands: the impact of group A Streptococcus.

Authors:  Femke Nawijn; Brechje de Gier; Diederik A H Brandwagt; Rolf H H Groenwold; Jort Keizer; Falco Hietbrink
Journal:  BMC Infect Dis       Date:  2021-12-06       Impact factor: 3.090

  2 in total

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