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...
- Autores:
- 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
- Rights
- License
- Abierto (Texto Completo)
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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 |
_version_ |
1814167660370329600 |