Abstract:
Objective
To explore the risk factors of delirium and cardiovascular complications in ultra-senile patients after hip and knee arthroplasties, and to build a visual risk prediction model.
Methods
The clinical data of 118 super-elderly patients who underwent hip and knee arthroplasty in the First Affiliated Hospital of Sun Yat-sen University from October 2018 to October 2021 were retrospectively collected.The patients who were age over 80 years and underwent primary hip or knee arthroplasty were included, while the patients with severe hip arthritis, femoral head necrosis or hip fracture, revision surgery, infection in lungs or urinary system, severe hepatic or renal dysfunction, and combining other severe diseases were excluded.The grouping was based on whether postoperative complications occurred, and they were divided into control group and complication group. The clinical data of the two groups were compared, and the risk factors for postoperative delirium and cardiovascular complications were analyzed by univariate and multivariate logistic regression. R language software was used to establish an alignment chart for predicting risk and construct an online dynamic prediction model and deploy it to the Shinyapps.io website. The predictive performance of the model was evaluated using the area under the curve (AUC), calibration curve, and clinical decision curve analysis(DCA).
Results
This analysis showed that for postoperative delirium complications, age (t=-2.164, P<0.05),hypertension (F=4.635, P<0.05), chronic obstructive emphysema (F=22.861, P<0.05), postoperative blood albumin (Alb) level (t=3.539, P<0.05), preoperative hemoglobin level (t=2.366, P<0.05), rest pain (t=-3.180,P<0.05) and activity pain (t=-2.240, P<0.05), the differences of these factors were statistically significant(P<0.05). As for postoperative cardiovascular complications, there were statistically significant differences in postoperative blood albumin levels (t=2.069, P<0.05), diabetes mellitus (F=-5.696, P<0.05), rest pain (t=-3.758,P<0.05) and activity pain (t=-2.406, P<0.05) between the two groups (P<0.05). Multivariate logistic regression analysis showed that postoperative pain at res[todds ratio (OR)=3.140, 95% confidence interval (CI) (0.170,2.118)], chronic obstructive pulmonary emphysema[ OR=20.673, 95%CI (1.333, 4.724)], and hypertension[OR =14.101, 95%CI (0.268, 5.023)]were independent risk factors for postoperative delirium complications(all P<0.05). Postoperative pain at rest [OR=5.522, 95%CI (0.557, 2.861)]and diabetes[OR=5.220,95%CI (0.026, 3.280)]were independent risk factors for postoperative cardiovascular complications (both P < 0.05). The study concurrently established a predictive model [AUC= 0.903, 95% CI (0.810, 0.995)].The model's internal validation showed C-index of 0.903, indicating a certain level of predictive capability.
Conclusions
This study identified risk factors for delirium and cardiovascular complications in patients undergoing hip and knee arthroplasty at an advanced age. Additionally, a predictive model is developed,suggesting that clinical practitioners can enhance perioperative management based on corresponding predictive results to mitigate the risk of postoperative delirium and cardiovascular complications in such patients.
Key words:
Aged,
80 and over,
Arthroplasty,
replacement,
Delirium,
Cardiovascular diseases,
Forecasting
Xiaoling Chen, Yonglie Zhong, Qiaoli Liu, Na Li, Zhiqi Zhang, Weiming Liao, Guiwu Huang. Risk prediction of delirium and cardiovascular complications after hip and knee surgeries in elderly patients[J]. Chinese Journal of Joint Surgery(Electronic Edition), 2024, 18(05): 575-584.