Hyperglycemia as a risk factor for postoperative early wound infection after bicondylar tibial plateau fractures: Determining a predictive model based on four methods

Objectives: Identify a glucose threshold that would put patients with isolated bicondylar tibial plateau fractures at risk of early wound infection (i.e. less than 90 days). Design: Retrospective review of medical records. Setting: Academic American College of Surgeons (ACS) Level 1 trauma center. P...

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Tipo de recurso:
Fecha de publicación:
2019
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/24314
Acceso en línea:
https://doi.org/10.1016/j.injury.2019.07.028
https://repository.urosario.edu.co/handle/10336/24314
Palabra clave:
Cefazolin
Glucose
Adult
Aged
Article
Bicondylar tibial plateau fracture
Controlled study
Disease assessment
Female
Glucose blood level
Hospitalization
Human
Hyperglycemia
Hyperglycemic index
Injury scale
Major clinical study
Male
Open fracture
Preoperative period
Priority journal
Retrospective study
Surgical infection
Tibial plateau fracture
Wound infection
Hyperglycemia
Infection
Orthopaedic trauma
Surgical site infection
Tibial plateau fractures
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License
Abierto (Texto Completo)
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network_acronym_str EDOCUR2
network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
spelling b291af2d-65c4-439f-bd50-b9d7dca94d7e-1a27d0272-42ab-4bc1-abbc-60bce35c4430-18d7cf82b-9608-4ad3-bc51-cec7f98fd781-15256202a-74a5-4503-b553-873c957efd7e-194cfa973-2498-463b-8856-15f11b3fa1ee-1ecfa94cf-a45b-4fe5-b2cb-2dc57873edba-1342eb272-e46b-4aea-8576-c1f64299a218-10b16a0ee-971d-4088-b2b4-3a5ae4e5c7b1-1fb029e6d-e4b6-4084-a64d-49d486c0ba2a-12020-05-26T00:11:36Z2020-05-26T00:11:36Z2019Objectives: Identify a glucose threshold that would put patients with isolated bicondylar tibial plateau fractures at risk of early wound infection (i.e. less than 90 days). Design: Retrospective review of medical records. Setting: Academic American College of Surgeons (ACS) Level 1 trauma center. Patients: Adult patients between 2010 and 2015 with an operatively treated isolated bicondylar tibial plateau fracture and at least three glucose measurements during their hospitalization. Main Outcome Measurement: To predict infection using four different methods: maximum preoperative blood glucose (PBG), maximum blood glucose (MGB), Hyperglycemic Index (HGI), and Time-Weighted Average Glucose (TWAG). Results: 126/381 patients met our inclusion criteria. Fifteen (12%) patients had an open fracture and 30/126 (23%) developed an infection. Median glucose for each predictive method studied was 114 (IQR 101.2–137.8) mg/dL for PBG, 144 (IQR 119–169.8) mg/dL for MBG, 0.8 (IQR 0.20–1.60) mmol/L for HGI, and 120.4 (IQR 106.0–135.6) mg/dL for TWAG. As expected, infected patients had higher PBG, MGB, and TWAG. HGI was similar in both groups. None of these differences prove to be statistically significant (p > .05). Logistic regression models for all the methods showed that having an open fracture was the strongest predictor of infection. Conclusion: It is well known that stress-induced hyperglycemia increases the risk of infection, we present and compare four models that have been used in other medical fields. In our study, none of the methods presented identified a glucose threshold that would increase the risk of infection in patients with bicondylar tibial plateau fractures. Level of Evidence: Retrospective review, Level III. See Instructions for Authors for a complete description of levels of evidence. © 2019 Elsevier Ltdapplication/pdfhttps://doi.org/10.1016/j.injury.2019.07.0280020138315723461https://repository.urosario.edu.co/handle/10336/24314engElsevier Ltd2102No. 112097InjuryVol. 50Injury, ISSN:00201383, 15723461, Vol.50, No.11 (2019); pp. 2097-2102https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069657121&doi=10.1016%2fj.injury.2019.07.028&partnerID=40&md5=6ac376ecbab1b7a4679721f1101a7a73Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURCefazolinGlucoseAdultAgedArticleBicondylar tibial plateau fractureControlled studyDisease assessmentFemaleGlucose blood levelHospitalizationHumanHyperglycemiaHyperglycemic indexInjury scaleMajor clinical studyMaleOpen fracturePreoperative periodPriority journalRetrospective studySurgical infectionTibial plateau fractureWound infectionHyperglycemiaInfectionOrthopaedic traumaSurgical site infectionTibial plateau fracturesHyperglycemia as a risk factor for postoperative early wound infection after bicondylar tibial plateau fractures: Determining a predictive model based on four methodsarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Rodriguez-Buitrago A.Basem A.Okwumabua E.Enata N.Evans A.Pennings J.Karacay B.Rice M.J.Obremskey W.10336/24314oai:repository.urosario.edu.co:10336/243142022-05-02 07:37:21.680143https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv Hyperglycemia as a risk factor for postoperative early wound infection after bicondylar tibial plateau fractures: Determining a predictive model based on four methods
title Hyperglycemia as a risk factor for postoperative early wound infection after bicondylar tibial plateau fractures: Determining a predictive model based on four methods
spellingShingle Hyperglycemia as a risk factor for postoperative early wound infection after bicondylar tibial plateau fractures: Determining a predictive model based on four methods
Cefazolin
Glucose
Adult
Aged
Article
Bicondylar tibial plateau fracture
Controlled study
Disease assessment
Female
Glucose blood level
Hospitalization
Human
Hyperglycemia
Hyperglycemic index
Injury scale
Major clinical study
Male
Open fracture
Preoperative period
Priority journal
Retrospective study
Surgical infection
Tibial plateau fracture
Wound infection
Hyperglycemia
Infection
Orthopaedic trauma
Surgical site infection
Tibial plateau fractures
title_short Hyperglycemia as a risk factor for postoperative early wound infection after bicondylar tibial plateau fractures: Determining a predictive model based on four methods
title_full Hyperglycemia as a risk factor for postoperative early wound infection after bicondylar tibial plateau fractures: Determining a predictive model based on four methods
title_fullStr Hyperglycemia as a risk factor for postoperative early wound infection after bicondylar tibial plateau fractures: Determining a predictive model based on four methods
title_full_unstemmed Hyperglycemia as a risk factor for postoperative early wound infection after bicondylar tibial plateau fractures: Determining a predictive model based on four methods
title_sort Hyperglycemia as a risk factor for postoperative early wound infection after bicondylar tibial plateau fractures: Determining a predictive model based on four methods
dc.subject.keyword.spa.fl_str_mv Cefazolin
Glucose
Adult
Aged
Article
Bicondylar tibial plateau fracture
Controlled study
Disease assessment
Female
Glucose blood level
Hospitalization
Human
Hyperglycemia
Hyperglycemic index
Injury scale
Major clinical study
Male
Open fracture
Preoperative period
Priority journal
Retrospective study
Surgical infection
Tibial plateau fracture
Wound infection
Hyperglycemia
Infection
Orthopaedic trauma
Surgical site infection
Tibial plateau fractures
topic Cefazolin
Glucose
Adult
Aged
Article
Bicondylar tibial plateau fracture
Controlled study
Disease assessment
Female
Glucose blood level
Hospitalization
Human
Hyperglycemia
Hyperglycemic index
Injury scale
Major clinical study
Male
Open fracture
Preoperative period
Priority journal
Retrospective study
Surgical infection
Tibial plateau fracture
Wound infection
Hyperglycemia
Infection
Orthopaedic trauma
Surgical site infection
Tibial plateau fractures
description Objectives: Identify a glucose threshold that would put patients with isolated bicondylar tibial plateau fractures at risk of early wound infection (i.e. less than 90 days). Design: Retrospective review of medical records. Setting: Academic American College of Surgeons (ACS) Level 1 trauma center. Patients: Adult patients between 2010 and 2015 with an operatively treated isolated bicondylar tibial plateau fracture and at least three glucose measurements during their hospitalization. Main Outcome Measurement: To predict infection using four different methods: maximum preoperative blood glucose (PBG), maximum blood glucose (MGB), Hyperglycemic Index (HGI), and Time-Weighted Average Glucose (TWAG). Results: 126/381 patients met our inclusion criteria. Fifteen (12%) patients had an open fracture and 30/126 (23%) developed an infection. Median glucose for each predictive method studied was 114 (IQR 101.2–137.8) mg/dL for PBG, 144 (IQR 119–169.8) mg/dL for MBG, 0.8 (IQR 0.20–1.60) mmol/L for HGI, and 120.4 (IQR 106.0–135.6) mg/dL for TWAG. As expected, infected patients had higher PBG, MGB, and TWAG. HGI was similar in both groups. None of these differences prove to be statistically significant (p > .05). Logistic regression models for all the methods showed that having an open fracture was the strongest predictor of infection. Conclusion: It is well known that stress-induced hyperglycemia increases the risk of infection, we present and compare four models that have been used in other medical fields. In our study, none of the methods presented identified a glucose threshold that would increase the risk of infection in patients with bicondylar tibial plateau fractures. Level of Evidence: Retrospective review, Level III. See Instructions for Authors for a complete description of levels of evidence. © 2019 Elsevier Ltd
publishDate 2019
dc.date.created.spa.fl_str_mv 2019
dc.date.accessioned.none.fl_str_mv 2020-05-26T00:11:36Z
dc.date.available.none.fl_str_mv 2020-05-26T00:11:36Z
dc.type.eng.fl_str_mv article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.spa.spa.fl_str_mv Artículo
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1016/j.injury.2019.07.028
dc.identifier.issn.none.fl_str_mv 00201383
15723461
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/24314
url https://doi.org/10.1016/j.injury.2019.07.028
https://repository.urosario.edu.co/handle/10336/24314
identifier_str_mv 00201383
15723461
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationEndPage.none.fl_str_mv 2102
dc.relation.citationIssue.none.fl_str_mv No. 11
dc.relation.citationStartPage.none.fl_str_mv 2097
dc.relation.citationTitle.none.fl_str_mv Injury
dc.relation.citationVolume.none.fl_str_mv Vol. 50
dc.relation.ispartof.spa.fl_str_mv Injury, ISSN:00201383, 15723461, Vol.50, No.11 (2019); pp. 2097-2102
dc.relation.uri.spa.fl_str_mv https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069657121&doi=10.1016%2fj.injury.2019.07.028&partnerID=40&md5=6ac376ecbab1b7a4679721f1101a7a73
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.acceso.spa.fl_str_mv Abierto (Texto Completo)
rights_invalid_str_mv Abierto (Texto Completo)
http://purl.org/coar/access_right/c_abf2
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Elsevier Ltd
institution Universidad del Rosario
dc.source.instname.spa.fl_str_mv instname:Universidad del Rosario
dc.source.reponame.spa.fl_str_mv reponame:Repositorio Institucional EdocUR
repository.name.fl_str_mv Repositorio institucional EdocUR
repository.mail.fl_str_mv edocur@urosario.edu.co
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