Circulating miR-133a-3p defines a low-risk subphenotype in patients with heart failure and central sleep apnea: a decision tree machine learning approach

Table 3 Association between the primary outcome and circulating microRNAs

Subgroup	miRNA	Univariable model		Model 1^a		Model 2^b		Model 3^c
Subgroup	miRNA	HR (95% CI)	p-value	HR (95% CI)	p-value	HR (95% CI)	p-value	HR (95% CI)	p-value
Overall	miR-133a-3p	0.93 (0.89–0.96)	< 0.0001	0.93 (0.90–0.97)	0.0004	0.94 (0.90–0.97)	0.001	0.96 (0.92–1.00)	0.061
Overall	miR-501-3p	0.97 (0.90–1.04)	0.39	0.98 (0.91–1.05)	0.57	0.92 (0.85–0.99)	0.034	0.96 (0.89–1.04)	0.34
Control	miR-133a-3p	0.91 (0.86–0.96)	0.002	0.92 (0.86–0.97)	0.004	0.92 (0.86–0.98)	0.008	0.95 (0.89–1.01)	0.12
Control	miR-501-3p	0.92 (0.81–1.04)	0.18	0.92 (0.82–1.04)	0.20	0.89 (0.78–1.02)	0.086	0.91 (0.79–1.04)	0.15
ASV	miR-133a-3p	0.94 (0.89–0.99)	0.013	0.94 (0.90–0.99)	0.023	0.94 (0.90–0.99)	0.026	0.96 (0.91–1.01)	0.13
ASV	miR-501-3p	1.00 (0.91–1.10)	0.95	1.01 (0.92–1.11)	0.83	0.93 (0.84–1.03)	0.15	0.98 (0.88–1.09)	0.73

Bold values indicate the statistically significant results
HR hazard ratio, CI confidence interval
^aModel 1 included adaptive-servo ventilation (ASV), age and sex
^bModel 2 included variables of model 1 and systolic blood pressure (SBP) < 120 mmHg, diabetes, diuretic, atrial fibrillation, cardiac device and 6-min walk distance
^cModel 3 included variables of model 2 and log (NT-proBNP)

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