Abstract

AIM: of the research was to develop a mathematical model for the preoperative assessing of the stroke risk in surgical operations for malignant neoplasms of the chest and abdomen for the early identification of high-risk patients optimization of diagnostics and enhancing the efficacy of personalized preventive measures.
 MATERIALS AND METHODS: 47 cases of perioperative stroke according to archived case histories patients with malignant neoplasms of various localization retrospective analysis anamnesis of life and underlying disease, analysis of clinical and laboratory examination data, analysis of parameters associated with surgery and anesthetic aid, analysis of the clinical and neuroimaging picture of perioperative stroke; 102 patients who underwent elective surgery for the malignant neoplasm of the chest or abdomen perioperative dynamic neurological support collection of anamnesis of life and disease, analysis of clinical and laboratory examination data, neurological examination with NIHSS and mRankin scores, neuropsychological testing using MoCA and FAB.
 RESULTS: Risk factors for perioperative stroke in oncosurgical patients, as well as cerebroprotective factors have been established. The valid mathematical model was developed for assessing of the likelihood of perioperative stroke in the surgical treatment of malignant neoplasms of the chest and abdomen with a predictive power of 85.4%, sensitivity of 77%, and specificity of 87%.
 CONCLUSION: The proposed mathematical model allows preoperatively assess the risk of perioperative stroke in percentage (according to the anamnesis and medical records data) and identify the group of high-risk patients.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.