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Original Research

A Non-Linear Association of High-Density Lipoprotein Cholesterol with All-Cause and Cause-Specific Mortality in Diabetic Patients

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Pages 2851-2862 | Published online: 22 Jun 2021

Figures & data

Figure 1 Research flow chart.

Figure 1 Research flow chart.

Table 1 Baseline Characteristics According to High-Density Lipoprotein Cholesterol Levels

Figure 2 Kaplan-Meier survival curves for all-cause (A), cardiovascular (B), and cancer (C) mortality by high density lipoprotein cholesterol groups.

Figure 2 Kaplan-Meier survival curves for all-cause (A), cardiovascular (B), and cancer (C) mortality by high density lipoprotein cholesterol groups.

Table 2 Multivariate Cox Regression Analysis of HDL-C Levels with Cause-Specific Mortality

Table 3 The Results of Two-Piecewise Linear Regression Model Between High-Density Lipoprotein Cholesterol and Cause-Specific Mortality

Figure 3 Adjusted spline curves analyze for the association of high density lipoprotein cholesterol with all-cause (A), cardiovascular (B), and cancer (C) mortality. Age, gender, body mass index, race, education level, smoking, systolic blood pressure, estimated glomerular filtration rate, glycohemoglobin, total cholesterol, comorbidities (hypertension, cardiovascular disease, and cancer), and medicine use (antihypertensive drugs, hypoglycemic agents, lipid-lowering drugs, and antiplatelet drugs) were adjusted.

Figure 3 Adjusted spline curves analyze for the association of high density lipoprotein cholesterol with all-cause (A), cardiovascular (B), and cancer (C) mortality. Age, gender, body mass index, race, education level, smoking, systolic blood pressure, estimated glomerular filtration rate, glycohemoglobin, total cholesterol, comorbidities (hypertension, cardiovascular disease, and cancer), and medicine use (antihypertensive drugs, hypoglycemic agents, lipid-lowering drugs, and antiplatelet drugs) were adjusted.

Table 4 Subgroups Analysis