• Yihui Wu, Hao Zhou, Weifeng Li, Suli Chen, Huajun Wang, Binbin He, Huiqin Jiang, and Wenpeng Wang.
• Department of Emergency, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China.
• Brit J Hosp Med. 2024 Oct 30; 85 (10): 1131-13.

AbstractAims/Background Previous studies have indicated a strong correlation between disturbances in blood pressure (BP) circadian rhythm and major cardiovascular adverse events. Similarly, blood pressure variability (BPV) has been closely linked to cerebral small vessel disease and leukoaraiosis. This study aims to investigate the relationship between BP rhythm and BPV with the short-term prognosis of patients with Type A aortic dissection, offering insights for targeted perioperative nursing interventions and improving patient outcomes. Methods This retrospective study included patients undergoing surgical treatment for Type A aortic dissection at Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences) from June 2022 to March 2024. The study followed patients from the completion of surgery to 30 days postoperatively, with all-cause mortality within 30 days as the endpoint representing poor short-term prognosis. Clinical data were compared along with: types of BP rhythm; BPV parameters including the mean 24-hour systolic BP (24hSBP), 24-hour diastolic BP (24hDBP), and pulse pressure; and the coefficient of variability (CV) for 24hSBP, 24hDBP, and pulse pressure. Multivariate logistic regression analysis was utilized to identify risk factors for poor short-term outcomes in these patients, and receiver operating characteristic (ROC) curves were plotted to assess the predictive value of BP rhythm types and BPV indicators. Results The study ultimately included 115 participants, with 31 deaths occurring within 30 days post-surgery, resulting in a postoperative mortality rate of 26.96%. The multivariate logistic regression analysis revealed that white blood cell count, neutrophil count, non-dipping BP rhythm, pulse pressure, and the CV for 24hSBP, 24hDBP, and pulse pressure, were significant risk factors for poor short-term prognosis (p < 0.05). The ROC curve analysis demonstrated that non-dipping BP rhythm, pulse pressure, 24hSBP-CV, 24hDBP-CV, and pulse pressure-CV had areas under the curve (AUC) of 0.685, 0.749, 0.751, 0.773, and 0.763, respectively. The combination of these indicators yielded the highest AUC at 0.918. Conclusion A combination of BP rhythm and BPV indicators provides significant predictive value for poor short-term outcomes in patients with Type A aortic dissection. Clinicians and nursing staff can use these features to formulate targeted preventive measures.

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