A realistic approach to evaluating the effect of baseline lipid profile in postcoronary artery bypass grafting surgery

Author:

Sheikhy Ali123ORCID,Fallahzadeh Aida123ORCID,Sadeghian Saeed1,Pashang Mina12,Karimi Abbas Ali1,Bagheri Jamshid1,Ahmadi‐Tafti Hossein1,Hosseini Kaveh12ORCID

Affiliation:

1. Cardiac Primary Prevention Research Center, Cardiovascular Diseases Research Institute Tehran University of Medical Sciences Tehran Iran

2. Tehran Heart Center, Cardiovascular Diseases Research Institute Tehran University of Medical Sciences Tehran Iran

3. Non‐Communicable Disease Research Center, Endocrinology and Metabolism Population Sciences Institute Tehran University of Medical Sciences Tehran Iran

Abstract

AbstractBackgroundThere are still many uncertainties in the association between lipid profile and postcoronary artery bypass grafting (CABG) outcomes. Although simplifying the association to linear equations makes it understandable but cannot explain many findings.HypothesisThere is a nonlinear associatin between lipid profile indices and adverse outcomes after CABG.MethodsA total of 17 555 patients who underwent isolated CABG between 2005 and 2016 were evaluated. During the median follow‐up of 75.24 months, the Restricted Cubic Splines (RCS) estimated from the Cox regression model adjusted for all possible confounders was applied to show a nonlinear relationship of lipid profile contents with the “ln hazard ratio” of mortality and major cerebro‐cardiac events (MACCE).ResultsThe relationship between LDL‐C and HDL‐C with all‐cause mortality was nonlinear (nonlinear p were .004 and <.001, respectively). The relationship between remnant cholesterol and all‐cause mortality was linear (linearity p = .023). Among men, those in the highest LDL‐C level (Q4, LDL‐C > 114) and those in the lowest HDL‐C level (Q1, HDL‐C < 30) showed a significantly higher risk of all‐cause mortality compared to other groups (compared with Q3, LDL‐C Q4, HR = 1.16, 95% confidence interval [CI]:1.02–1.26, p = .014; HDL‐C Q1, HR = 1.14, 95% CI: 1.01–1.31, p = .041). Female patients in the lowest HDL‐C level (Q1, HDL‐C < 30) showed a significantly higher (compared with Q3, HR = 1.14, 95% CI:1.01–1.31, p = .028) and those in the highest HDL‐C level (Q4, HDL‐C > 43) showed a significantly lower (compared with Q3, HR = 0.74, 95% CI:0.58–0.98, p = .019) risk of all‐cause mortality.ConclusionDetermining a universal cut off for components of lipid profile may be misleading and should better be revised. Extreme values (very low or very high) for HDL‐C and LDL‐C have different effects on cardiovascular outcomes.

Publisher

Wiley

Subject

Cardiology and Cardiovascular Medicine,General Medicine

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