A risk score for predicting postoperative complications in non-intubated thoracic surgery.
J Thorac Dis
; 13(7): 3960-3968, 2021 Jul.
Article
em En
| MEDLINE
| ID: mdl-34422326
ABSTRACT
BACKGROUND:
The risk factors for postoperative complications in non-intubated video-assisted thoracoscopic surgery (VATS) have not been observed before. Here to develop a simple risk score to predict the risk of postoperative complications for patients who scheduling non-intubated VATS, which is beneficial to guide the clinical interventions.METHODS:
A total of 1,837 patients who underwent non-intubated VATS were included from January 2011 to December 2018. A development data set and a validation data set were allocated according to an approximate 32 ratio of total cases. The stepwise logistic regression was used to establish a risk score model, and the methods of bootstrap and split-sample were used for validation.RESULTS:
Multivariable analysis revealed that the forced expiratory volume in the first second in percent of predicted, the anesthesia method, blood loss, surgical time, and preoperative neutrophil ratio were risk factors for postoperative complications. The risk score was established with these 5 factors, varied from 0 to 53, with the corresponding predicted probability of postoperative complications occurrence ranged from 1% to 92% and was calibrated (Hosmer-Lemeshow χ2 =6.261; P=0.618). Good discrimination was acquired in the development and validation data sets (C-statistic 0.705 and 0.700). A positive correlation was between the risk score and postoperative complications (P for trend <0.01). Three levels of low-risk (0-15 points], moderate-risk (15-30 points], and high-risk (>30 points] were established based on the score distribution of postoperative complications.CONCLUSIONS:
This simple risk score model based on risk factors of postoperative complications can validly identify the high-risk patients with postoperative complications in the non-intubated VATS, and allow for early interventions.
Texto completo:
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Bases de dados:
MEDLINE
Tipo de estudo:
Etiology_studies
/
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
J Thorac Dis
Ano de publicação:
2021
Tipo de documento:
Article
País de afiliação:
China