Construction of a nomogram prediction model for the risk of hypotension after general anesthesia

Objective To analyze the risk factors of hypotension after general anesthesia, and constructa nomogram model and verify it.

Methods One hundred and forty-nine patients with general anesthesia were collected, and divided into the hypotension group and non-hypotension group according to whether hypotension occurrence after surgery.The univariate and multivariate logistic regression were used to analyze the risk factors of hypotension after surgery, and then a nomogram model was constructed and verified.

Results The results of multivariate logistic regression analysis showed that the ASA grade, duration of surgery and preoperative white blood cell count were the independent predictors of postoperative hypotension.The area under the curve(AUC) of nomogram model based on these indicators was 0.757.The average AUC value of Bootstrap resampling verification was 0.744 (95%CI: 0.717-0.769).The calibration curve demonstrated a good agreement between the predicted probability of model and actual incidence.

Conclusions The ASA grade, duration of surgery and preoperative white blood cell count can be used to assess the risk of hypotension in patients after general anesthesia.The nomogram model constructed by these indicators has good predictive ability, and it is helpful for clinical workers to predict the occurrence of hypotension after general anesthesia.