A predictive model for prolonged hospital length of stay in surgical burn patients.
Burn
Predictive model
Prolonged length of stay
Journal
Burns : journal of the International Society for Burn Injuries
ISSN: 1879-1409
Titre abrégé: Burns
Pays: Netherlands
ID NLM: 8913178
Informations de publication
Date de publication:
11 2020
11 2020
Historique:
received:
28
10
2019
accepted:
15
04
2020
pubmed:
21
5
2020
medline:
21
12
2021
entrez:
21
5
2020
Statut:
ppublish
Résumé
Improvement in the care of burn patients has led to decreased mortality. Length of stay (LOS) has been used as a marker for quality of care in this population. However, the historical association of LOS as correlating only with % burn surface area (BSA) injury has been questioned with retrospective data suggesting other factors may also be associated with LOS. A model to predict prolonged LOS does not exist but could provide important information for clinicians and patients. Data from January 2014 to December 2016 was used to develop a predictive model utilizing multivariable logistic regression. Prolonged hospital LOS was the outcome used with multiple covariates utilized to identify various associations. Odds ratios (OR) and their associated 95% confidence interval (CI) were reported for each covariate in the final regression model. Model performance in both the training and validation sets was evaluated using area under the receiver operating characteristic (ROC) curve (AUC) for discrimination and the Hosmer-Lemeshow (HL) test for goodness-of-fit. A total of 441 patients was included in the final analysis, 296 (67.1%) of which were in the training set. Within the training set, the median hospital LOS was 14 days with a range of 4 to 205 days. Patient age (in decades), hypertension, total BSA, involvement of perineum, and abnormal white blood cell count were independent risk factors for prolonged hospital length of stay. When using this separate dataset, the model had an AUC of 0.81 (95% CI 0.74-0.88) and had good calibration based on the HL-test (p=0.10). Prolonged hospitalization following burns is predicted by patient age (in decades), TBSA, hypertension, perineal involvement, and abnormal white blood cell count.
Sections du résumé
BACKGROUND
Improvement in the care of burn patients has led to decreased mortality. Length of stay (LOS) has been used as a marker for quality of care in this population. However, the historical association of LOS as correlating only with % burn surface area (BSA) injury has been questioned with retrospective data suggesting other factors may also be associated with LOS. A model to predict prolonged LOS does not exist but could provide important information for clinicians and patients.
METHODS
Data from January 2014 to December 2016 was used to develop a predictive model utilizing multivariable logistic regression. Prolonged hospital LOS was the outcome used with multiple covariates utilized to identify various associations. Odds ratios (OR) and their associated 95% confidence interval (CI) were reported for each covariate in the final regression model. Model performance in both the training and validation sets was evaluated using area under the receiver operating characteristic (ROC) curve (AUC) for discrimination and the Hosmer-Lemeshow (HL) test for goodness-of-fit.
RESULTS
A total of 441 patients was included in the final analysis, 296 (67.1%) of which were in the training set. Within the training set, the median hospital LOS was 14 days with a range of 4 to 205 days. Patient age (in decades), hypertension, total BSA, involvement of perineum, and abnormal white blood cell count were independent risk factors for prolonged hospital length of stay. When using this separate dataset, the model had an AUC of 0.81 (95% CI 0.74-0.88) and had good calibration based on the HL-test (p=0.10).
CONCLUSIONS
Prolonged hospitalization following burns is predicted by patient age (in decades), TBSA, hypertension, perineal involvement, and abnormal white blood cell count.
Identifiants
pubmed: 32430185
pii: S0305-4179(20)30329-6
doi: 10.1016/j.burns.2020.04.021
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1565-1570Informations de copyright
Copyright © 2020 Elsevier Ltd and ISBI. All rights reserved.