Risk Factors and a Nomogram Model for Residual Symptoms of Cured Benign Paroxysmal Positional Vertigo.

BACKGROUND: We aimed to analyze the independent risk factors that affect the treatment outcomes of residual symptoms of cured benign paroxysmal positional vertigoand to construct a nomogram model. METHODS: A total of 186 benign paroxysmal positional vertigo patients who were treated in our hospital from June 2019 to August 2021 were selected. According to whether there were residual symptoms, they were divided into a group with residual symptoms (n=82) and a group without residual symptoms (n = 104). The logistic regression model was used to analyze the independent risk factors affecting the treatment outcomes, and the results were incorporated into R software to establish a nomogram model for verification. RESULTS: The incidence rate of residual symptoms in the 186 patients was 44.09% (82/186). Logistic regression analysis showed that age, course of disease, number of maneuvers, anxiety state, diabetes mellitus, and hypertension were independent risk factors affecting the treatment outcomes of residual symptoms after cured benign paroxysmal positional vertigo. The area under the receiver operating characteristic curve of the nomogram model was 0.938. The calibration curve was fitted well (χ2 = 8.165, P = .417). CONCLUSION: The nomogram model constructed based on age, course of disease, number of maneuvers, anxiety state, diabetes mellitus, and hypertension had a high predictive value for the treatment outcomes of residual symptoms in benign paroxysmal positional vertigo patients.

Meta-Analysis of Prognostic Correlation of Thrombectomy for Cerebral Infarction Based on Intelligent Medical Treatment.

A meta-analysis is used to investigate the correlation between the status of collateral circulation assessed by head CT angiography (CTA) and the outcome of thrombectomy for cerebral infarction. Meta-analysis is conducted. The experimental results show that the National Institutes of Health Stroke Scale (NIHSS) score, modified Rankin Scale (mRS) score, incidence of cerebral hemorrhage, and mortality in the group with good collateral circulation are significantly lower than those in the group with bad collateral circulation, and the rate of good prognosis is significantly higher (P < 0.05). The evaluation and treatment of patients with cerebral infarction and their prognosis based on CTA intelligent medical technology are related to collateral circulation, and the effect of effectively reducing the risk of death, cerebral hemorrhage, and neurological function injury and improving the prognosis is more obvious in each collateral circulation.