Cargando…
Prediction of factors influencing the timing and prognosis of early tracheostomy in patients with multiple rib fractures: A propensity score matching analysis
OBJECTIVE: To investigate the factors affecting the timing and prognosis of early tracheostomy in multiple rib fracture patients. METHODS: A retrospective case-control study was used to analyze the clinical data of 222 patients with multiple rib fractures who underwent tracheotomy in the Affiliated...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9537817/ https://www.ncbi.nlm.nih.gov/pubmed/36211272 http://dx.doi.org/10.3389/fsurg.2022.944971 |
_version_ | 1784803280491118592 |
---|---|
author | Zhang, Bing Li, Gong-Ke Wang, Yu-Rong Wu, Fei Shi, Su-Qin Hang, Xin Feng, Qin-Ling Li, Yong Wan, Xian-Yao |
author_facet | Zhang, Bing Li, Gong-Ke Wang, Yu-Rong Wu, Fei Shi, Su-Qin Hang, Xin Feng, Qin-Ling Li, Yong Wan, Xian-Yao |
author_sort | Zhang, Bing |
collection | PubMed |
description | OBJECTIVE: To investigate the factors affecting the timing and prognosis of early tracheostomy in multiple rib fracture patients. METHODS: A retrospective case-control study was used to analyze the clinical data of 222 patients with multiple rib fractures who underwent tracheotomy in the Affiliated Hospital of Yangzhou University from February 2015 to October 2021. According to the time from tracheal intubation to tracheostomy after admission, the patients were divided into two groups: the early tracheostomy group (within 7 days after tracheal intubation, ET) and late tracheostomy group (after the 7th day, LT). Propensity score matching (PSM) was used to eliminate the differences in baseline characteristics Logistic regression was used to predict the independent risk factors for early tracheostomy. Kaplan–Meier and Cox survival analyses were used to analyze the influencing factors of the 28-day survival. RESULTS: According to the propensity score matching analysis, a total of 174 patients were finally included in the study. Among them, there were 87 patients in the ET group and 87 patients in the LT group. After propensity score matching, Number of total rib fractures (NTRF) (P < 0.001), Acute respiratory distress syndrome (ARDS) (P < 0.001) and Volume of pulmonary contusion(VPC) (P < 0.000) in the ET group were higher than those in the LT group. Univariate analysis showed that the patients who underwent ET had a higher survival rate than those who underwent LT (P = 0.021). Pearson's analysis showed that there was a significant correlation between NTRF and VPC (r = 0.369, P = 0.001). A receiver operating characteristic(ROC)curve analysis showed that the areas under the curves were 0.832 and 0.804. The best cutoff-value values of the VPC and NTRF were 23.9 and 8.5, respectively. The Cox survival analysis showed that the timing of tracheostomy (HR = 2.51 95% CI, 1.12–5.57, P = 0.004) and age (HR = 1.53 95% CI, 1.00–2.05, P = 0.042) of the patients had a significant impact on the 28-day survival of patients with multiple rib fractures. In addition, The Kaplan–Meier survival analysis showed that the 28-day survival of patients in the ET group was significantly better than that of the LT group, P = 0.01. CONCLUSIONS: NTRF, ADRS and VPC are independent risk factors for the timing and prognosis of early tracheotomy. A VPC ≥ 23.9% and/or an NTRF ≥ 8.5 could be used as predictors of ET in patients with multiple rib fractures. Predicting the timing of early tracheostomy also need prediction models in the future. |
format | Online Article Text |
id | pubmed-9537817 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95378172022-10-08 Prediction of factors influencing the timing and prognosis of early tracheostomy in patients with multiple rib fractures: A propensity score matching analysis Zhang, Bing Li, Gong-Ke Wang, Yu-Rong Wu, Fei Shi, Su-Qin Hang, Xin Feng, Qin-Ling Li, Yong Wan, Xian-Yao Front Surg Surgery OBJECTIVE: To investigate the factors affecting the timing and prognosis of early tracheostomy in multiple rib fracture patients. METHODS: A retrospective case-control study was used to analyze the clinical data of 222 patients with multiple rib fractures who underwent tracheotomy in the Affiliated Hospital of Yangzhou University from February 2015 to October 2021. According to the time from tracheal intubation to tracheostomy after admission, the patients were divided into two groups: the early tracheostomy group (within 7 days after tracheal intubation, ET) and late tracheostomy group (after the 7th day, LT). Propensity score matching (PSM) was used to eliminate the differences in baseline characteristics Logistic regression was used to predict the independent risk factors for early tracheostomy. Kaplan–Meier and Cox survival analyses were used to analyze the influencing factors of the 28-day survival. RESULTS: According to the propensity score matching analysis, a total of 174 patients were finally included in the study. Among them, there were 87 patients in the ET group and 87 patients in the LT group. After propensity score matching, Number of total rib fractures (NTRF) (P < 0.001), Acute respiratory distress syndrome (ARDS) (P < 0.001) and Volume of pulmonary contusion(VPC) (P < 0.000) in the ET group were higher than those in the LT group. Univariate analysis showed that the patients who underwent ET had a higher survival rate than those who underwent LT (P = 0.021). Pearson's analysis showed that there was a significant correlation between NTRF and VPC (r = 0.369, P = 0.001). A receiver operating characteristic(ROC)curve analysis showed that the areas under the curves were 0.832 and 0.804. The best cutoff-value values of the VPC and NTRF were 23.9 and 8.5, respectively. The Cox survival analysis showed that the timing of tracheostomy (HR = 2.51 95% CI, 1.12–5.57, P = 0.004) and age (HR = 1.53 95% CI, 1.00–2.05, P = 0.042) of the patients had a significant impact on the 28-day survival of patients with multiple rib fractures. In addition, The Kaplan–Meier survival analysis showed that the 28-day survival of patients in the ET group was significantly better than that of the LT group, P = 0.01. CONCLUSIONS: NTRF, ADRS and VPC are independent risk factors for the timing and prognosis of early tracheotomy. A VPC ≥ 23.9% and/or an NTRF ≥ 8.5 could be used as predictors of ET in patients with multiple rib fractures. Predicting the timing of early tracheostomy also need prediction models in the future. Frontiers Media S.A. 2022-09-23 /pmc/articles/PMC9537817/ /pubmed/36211272 http://dx.doi.org/10.3389/fsurg.2022.944971 Text en © 2022 Zhang, Li, Wang, Wu, Shi, Hang, Feng, Li and Wan. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Surgery Zhang, Bing Li, Gong-Ke Wang, Yu-Rong Wu, Fei Shi, Su-Qin Hang, Xin Feng, Qin-Ling Li, Yong Wan, Xian-Yao Prediction of factors influencing the timing and prognosis of early tracheostomy in patients with multiple rib fractures: A propensity score matching analysis |
title | Prediction of factors influencing the timing and prognosis of early tracheostomy in patients with multiple rib fractures: A propensity score matching analysis |
title_full | Prediction of factors influencing the timing and prognosis of early tracheostomy in patients with multiple rib fractures: A propensity score matching analysis |
title_fullStr | Prediction of factors influencing the timing and prognosis of early tracheostomy in patients with multiple rib fractures: A propensity score matching analysis |
title_full_unstemmed | Prediction of factors influencing the timing and prognosis of early tracheostomy in patients with multiple rib fractures: A propensity score matching analysis |
title_short | Prediction of factors influencing the timing and prognosis of early tracheostomy in patients with multiple rib fractures: A propensity score matching analysis |
title_sort | prediction of factors influencing the timing and prognosis of early tracheostomy in patients with multiple rib fractures: a propensity score matching analysis |
topic | Surgery |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9537817/ https://www.ncbi.nlm.nih.gov/pubmed/36211272 http://dx.doi.org/10.3389/fsurg.2022.944971 |
work_keys_str_mv | AT zhangbing predictionoffactorsinfluencingthetimingandprognosisofearlytracheostomyinpatientswithmultipleribfracturesapropensityscorematchinganalysis AT ligongke predictionoffactorsinfluencingthetimingandprognosisofearlytracheostomyinpatientswithmultipleribfracturesapropensityscorematchinganalysis AT wangyurong predictionoffactorsinfluencingthetimingandprognosisofearlytracheostomyinpatientswithmultipleribfracturesapropensityscorematchinganalysis AT wufei predictionoffactorsinfluencingthetimingandprognosisofearlytracheostomyinpatientswithmultipleribfracturesapropensityscorematchinganalysis AT shisuqin predictionoffactorsinfluencingthetimingandprognosisofearlytracheostomyinpatientswithmultipleribfracturesapropensityscorematchinganalysis AT hangxin predictionoffactorsinfluencingthetimingandprognosisofearlytracheostomyinpatientswithmultipleribfracturesapropensityscorematchinganalysis AT fengqinling predictionoffactorsinfluencingthetimingandprognosisofearlytracheostomyinpatientswithmultipleribfracturesapropensityscorematchinganalysis AT liyong predictionoffactorsinfluencingthetimingandprognosisofearlytracheostomyinpatientswithmultipleribfracturesapropensityscorematchinganalysis AT wanxianyao predictionoffactorsinfluencingthetimingandprognosisofearlytracheostomyinpatientswithmultipleribfracturesapropensityscorematchinganalysis |