Objective To investigate the clinical characteristics, risk factors and perioperative outcome of prolonged mechanical ventilation (PMV) in elderly patients undergoing coronary artery bypass grafting (CABG). Methods The data of elderly patients receiving CABG in the Nanjing First Hospital from January 2013 to June 2019 were collected. All patients were divided into a control group and a PMV group according to whether ventilation time≥24 h.The clinical characteristics and risk factors of PMV were compared between the two groups. Variables were 1∶1 balanced through propensity score matching (PSM) and perioperative outcomes of two groups was analyzed. Results Finally 956 patients were collected, including 187 in the PMV group and 769 in the control group. There were 586 males and 370 females aged 70-94 (74.3±3.5) years. Compared with the control group, the PMV group had higher rates of smoking, preoperative renal impairment, intraoperative blood transfusion and intra-aortic balloon pump (IABP) implantation, worse cardiac function, lower glomerular filtration rate and ejection fraction, larger left atrial diameter, longer cardiopulmonary bypass time and aortic cross-clamping time (P<0.05). There was no statistical difference in other clinical data between the two groups (P>0.05). Binary multivariate logistic regression analysis showed that females, smoking, chronic obstructive pulmonary disease, left ventricular ejection fraction≤56.0%, cardiopulmonary bypass time>106.0 min, IABP implantation and intraoperative blood transfusion were independent risk factors for PMV in elderly patients. After PSM, there were 146 patients in the control group and the PMV group, respectively. The PMV group had longer ICU stay and length of hospital stay and more drainage volume compared with the control group (all P<0.05). There was no statistical difference in perioperative mortality or other complications between the two groups (all P>0.05). ConclusionThere are a lot of factors associated with PMV of the elderly patients undergoing on-pump CABG. In order to establish a complete and formal PMV prediction model, clinicians can make a further step of assessment according to perioperative elements, and improve the prognosis of such patients.
ObjectiveTo investigate the factors associated with unplanned readmission within 30 days after discharge in adult patients who underwent coronary artery bypass grafting (CABG) and to develop and validate a risk prediction model. MethodsA retrospective analysis was conducted on the clinical data of patients who underwent isolated CABG at the First Affiliated Hospital of Nanjing Medical University between January 2020 and June 2024. Data from January 2020 to August 2023 were used as a training set, and data from September 2023 to June 2024 were used as a validation set. In the training set, patients were divided into the readmission group and the non-readmission group based on whether they had unplanned readmission within 30 days post-discharge. Clinical data between the two groups were compared, and logistic regression was performed to identify independent risk factors for unplanned readmission. A risk prediction model and a nomogram were constructed, and internal validation was performed to assess the model’s performance. The validation set was used for external validation. ResultsA total of 2 460 patients were included, comprising 1 787 males and 673 females, with a median age of 70 (34, 89) years. The training set included 1,932 patients, and the validation set included 528 patients. In the training set, there were statistically significant differences between the readmission group (79 patients) and the non-readmission group (1 853 patients) in terms of gender, age, carotid artery stenosis, history of myocardial infarction, preoperative anemia, and heart failure classification (NYHA) (P<0.05). The main causes of readmission were poor wound healing, postoperative pulmonary infections, and new-onset atrial fibrillation. Logistic regression analysis revealed that female sex [OR=1.659, 95%CI (1.022, 2.692), P=0.041], age [OR=1.042, 95%CI (1.011, 1.075), P=0.008], carotid artery stenosis [OR=1.680, 95%CI (1.130, 2.496), P=0.010], the first ICU stay duration [OR=1.359, 95%CI (1.195, 1.545), P<0.001], and the second ICU admission [OR=4.142, 95%CI (1.507, 11.383), P=0.006] were independent risk factors for unplanned readmission. In the internal validation, the area under the curve (AUC) was 0.806, and the net benefit rate of the clinical decision curve analysis (DCA) was >3%. In the external validation, the AUC was 0.732, and the DCA net benefit rate ranged from 3% to 48%. ConclusionFemales, age, carotid artery stenosis, duration of first ICU stay, and second ICU admission are independent risk factors for unplanned readmission within 30 days after isolated CABG. The constructed nomogram demonstrates good predictive power.