Table 3.

Binary logistic regression analysis.

	B	SE	OR	CI	Z	p
Albumin to Globulin Ratio	−1.097	0.269	0.33	0.2–0.57	−4.077	<0.001
Creatinine	0.521	0.321	1.68	0.9–3.16	1.623	0.105
Gender	0.915	0.278	2.5	1.45–4.3	3.293	0.001
Homocysteine	0.578	0.299	1.85	1.03–3.32	2.068	0.039
Hypertension	0.513	0.102	1.67	1.37–2.04	5.036	<0.001
Low-Density Lipoprotein	−0.291	0.463	0.75	0.3–1.85	−0.629	0.529
Neutrophil to HDL Ratio	0.55	0.268	1.73	1.02–2.93	2.053	0.04
Stroke	0.719	0.274	2.05	1.2–3.51	2.625	0.009
Total Cholesterol	−0.318	0.462	0.73	0.29–1.8	−0.688	0.491

Outlines the results of a binary logistic regression analysis aimed at identifying key predictors for Cerebral Microbleeds (CMBs), using nine variables identified by LASSO regression. Six of these variables demonstrated statistical significance and were integral to the final diagnostic model: Albumin to Globulin Ratio, Gender, Homocysteine, Hypertension, Neutrophil to HDL Ratio, and Stroke. In contrast, Creatinine, Low-Density Lipoprotein, and Total Cholesterol were not statistically significant and were excluded from the model. The odds ratios (ORs) indicate the increased or decreased risk of CMBs associated with each variable, providing crucial insights for clinical assessment and intervention.