Purpose
Identify the cluster-type risk factors when disease occurs in patients with coronary artery disease (CAD) and examine the impact of the cluster-type on adverse clinical prognosis in CAD patients.
Methods
Secondary data analysis was utilized with data collected from electronic medical records of patients who underwent percutaneous coronary intervention in a university hospital from 2011 to 2015 and who were on an outpatient follow-up visit as of January 2020. The K-means cluster analysis was performed on seven cardiovascular risk factors. Major adverse cardiac events (MACEs), including hospitalization due to restenosis or cardiac-related death, was required in clinical prognosis. The Cox proportional-hazard regression and Kaplan-Meier survival analyses were used.
Results
Cluster analysis identified three clusters of ‘obesity and family history’ (n=150), ‘smoking and drinking’ (n=178), and ‘chronic disease’ (n=190). The MACEs occurred in 10.4% of study subjects. When the ‘obesity and family history’ cluster (62.94±12.09 years) was used as a reference, the relative risk of MACEs was 2.57 times higher in the ‘smoking and drinking’ cluster (62.63±13.31 years) and 2.41 times higher in the ‘chronic disease’ cluster (70.90±10.30 years).
Conclusion
Cluster-type risk factors are necessary when considering secondary prevention strategies for MACEs in patients with CAD. Patients with smoking, drinking, and chronic diseases are especially required to improve their lifestyles and to regularly monitor their management of underlying diseases during follow-up periods.

Citations

• Effect of risk factor-tailored autonomy enhancement education in the first-time middle-aged patients undergoing percutaneous coronary intervention: a randomized controlled trial
  In Ae Uhm, Seon Young Hwang
  BMC Nursing.2023;[Epub]     CrossRef

PURPOSE
This study was to identify the significant acute physiological predictors of mortality and of functional and cognitive recovery in hemorrhagic stroke patients.
METHODS
The subjects were 108 hemorrhagic stroke patients admitted to Neurological Intensive Care Unit of a university hospital.
RESULTS
The significant physiological predictors of mortality and of functional and cognitive recovery were quite different upon admission Glasgow Coma Scale scores: respiratory rate, hematocrit, serum pH, osmolality, and PaCO2 were the predictors in the subjects with a high Glasgow Coma Scale scores while blood pressure, PaO2, respiratory rate, and hematocrit in the subjects with a low Glasgow coma scale scores.
CONCLUSION
The physiological derangements induced by acute stroke are undoubtedly influence clinical outcome. More study is required to determine their diverse impacts on clinical outcomes.