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. 2021 Mar 10;18:25. doi: 10.1186/s12986-021-00548-1

Table 3.

The results of two-piecewise linear regression model between total cholesterol and cause-specific mortality

All-cause mortality Cardiovascular mortality Cancer mortality
HR (95% CI) p value HR (95% CI) p value HR (95% CI) p value
Cutoff value, mg/dL 172(4.45 mmol/L) 267(6.90 mmol/L) 205(5.30 mmol/L)
 < Cut-off value 0.60 (0.52, 0.70) < 0.0001 0.99 (0.89, 1.10) 0.8479 0.79 (0.67, 0.93) 0.0058
 ≥ Cut-off value 1.01 (0.96, 1.06) 0.8160 1.38 (1.09, 1.75) 0.0084 1.05 (0.92, 1.21) 0.4612
P for log likelihood ratio test  < 0.001 0.053 0.032

HR, hazard ratio; CI, confidence interval

The two-piecewise linear regression model were adjusted for age, gender, race, education level, married, smoking, body mass index, systolic blood pressure, estimated glomerular filtration rate, high density lipoprotein cholesterol, energy intake, comorbidities (hypertension, and diabetes), and medication use (antihypertensive drugs, hypoglycemic agents, and lipid-lowering drugs)