Identification of individuals with covert ischemic thrombotic cerebrovascular disease: a discriminant function analysis

• Published in: Stroke (1970) Vol. 3; no. 6; pp. 764 - 771
• Main Authors: Gertler, M M, Rosenberger, J L, Leetma, H E
• Format: Journal Article
• Language: English
• Published: United States 01-11-1972
• Subjects: Age Factors; Analysis of Variance; Blood Glucose - analysis; Blood Pressure; Body Height; Body Weight; Cholesterol - blood; Electrocardiography; Fatty Acids, Nonesterified - blood; Glucose Tolerance Test; Humans; Hypertension - complications; Insulin - blood; Intracranial Embolism and Thrombosis - complications; Intracranial Embolism and Thrombosis - diagnosis; Intracranial Embolism and Thrombosis - epidemiology; Intracranial Embolism and Thrombosis - prevention & control; Lactates - blood; Lipids - blood; Lipoproteins - blood; Male; Middle Aged; Triglycerides - blood; Uric Acid - blood
• ISSN: 0039-2499; 1524-4628
• DOI: 10.1161/01.STR.3.6.764

Sixty-one men with ischemic thrombotic cerebrovascular disease (ITCVD) and 61 age-matched controls (±three years) were studied to select risk factors which would identify ITCVD-prone individuals from a healthy population. Numerous clinical and biochemical measurements were made on all subjects including a three-hour oral glucose tolerance test concomitant with the immunoreactive insulin response (IRI). The following parameters were selected as risk factors for ITCVD from the many variables assessed: elevated systolic blood pressure; triglycerides; uric acid; glucose one-hour, two-hour and three-hour levels; and IRI two-hour and three-hour levels. There is also a higher prevalence of abnormal lipoproteins (mostly type IV), abnormal EKG, and hypertension in ITCVD. A stepwise linear discriminant function analysis was used to select the risk factors which best separate and classify the ITCVD and control subjects. These primary risk factors are the IRI three-hour level, systolic blood pressure, abnormal lipoproteins, and glucose two-hour level. Utilizing only these four primary risk factors in a discriminant function, 84.4% of the subjects were correctly classified. The contribution of the other variables is minimal in the discriminant function, but they are applicable as individual risk factors of ITCVD.