Literature DB >> 33293274

Association between low density lipoprotein and all cause and cause specific mortality in Denmark: prospective cohort study.

Camilla Ditlev Lindhardt Johannesen1,2,3,4, Anne Langsted1,2,3,4, Martin Bødtker Mortensen1,2,3,4,5, Børge Grønne Nordestgaard6,2,3,4.   

Abstract

OBJECTIVE: To determine the association between levels of low density lipoprotein cholesterol (LDL-C) and all cause mortality, and the concentration of LDL-C associated with the lowest risk of all cause mortality in the general population.
DESIGN: Prospective cohort study.
SETTING: Denmark; the Copenhagen General Population Study recruited in 2003-15 with a median follow-up of 9.4 years. PARTICIPANTS: Individuals randomly selected from the national Danish Civil Registration System. MAIN OUTCOME MEASURES: Baseline levels of LDL-C associated with risk of mortality were evaluated on a continuous scale (restricted cubic splines) and by a priori defined centile categories with Cox proportional hazards regression models. Main outcome was all cause mortality. Secondary outcomes were cause specific mortality (cardiovascular, cancer, and other mortality).
RESULTS: Among 108 243 individuals aged 20-100, 11 376 (10.5%) died during the study, at a median age of 81. The association between levels of LDL-C and the risk of all cause mortality was U shaped, with low and high levels associated with an increased risk of all cause mortality. Compared with individuals with concentrations of LDL-C of 3.4-3.9 mmol/L (132-154 mg/dL; 61st-80th centiles), the multivariable adjusted hazard ratio for all cause mortality was 1.25 (95% confidence interval 1.15 to 1.36) for individuals with LDL-C concentrations of less than 1.8 mmol/L (<70 mg/dL; 1st-5th centiles) and 1.15 (1.05 to 1.27) for LDL-C concentrations of more than 4.8 mmol/L (>189 mg/dL; 96th-100th centiles). The concentration of LDL-C associated with the lowest risk of all cause mortality was 3.6 mmol/L (140 mg/dL) in the overall population and in individuals not receiving lipid lowering treatment, compared with 2.3 mmol/L (89 mg/dL) in individuals receiving lipid lowering treatment. Similar results were seen in men and women, across age groups, and for cancer and other mortality, but not for cardiovascular mortality. Any increase in LDL-C levels was associated with an increased risk of myocardial infarction.
CONCLUSIONS: In the general population, low and high levels of LDL-C were associated with an increased risk of all cause mortality, and the lowest risk of all cause mortality was found at an LDL-C concentration of 3.6 mmol/L (140 mg/dL). © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Year:  2020        PMID: 33293274      PMCID: PMC7722479          DOI: 10.1136/bmj.m4266

Source DB:  PubMed          Journal:  BMJ        ISSN: 0959-8138


Introduction

Low density lipoprotein cholesterol (LDL-C) is a well established causal risk factor for the development of atherosclerosis and cardiovascular disease.1 High levels of LDL-C consistently predict a risk of future atherosclerotic cardiovascular events in a variety of populations throughout the world. Also, many randomised controlled trials of treatment with lipid lowering agents have clearly shown that lowering LDL-C levels reduces the risk of atherosclerotic cardiovascular events in the future.1 2 3 4 Because lowering levels of LDL-C reduces cardiovascular disease outcomes, the general perception is that high levels of LDL-C are associated with an increased risk of mortality but low levels are not. Studies on the association between LDL-C levels and the risk of all cause mortality, however, have provided conflicting results, with some studies showing a counterintuitive inverse association (lower mortality with increasing levels of LDL-C) 5 6 7 and some showing no association.8 9 10 Most of these studies were conducted in individuals aged 65 and older, and in historical population based cohorts. Also, a recent study in young Koreans not taking lipid lowering drugs showed a U shaped relation between levels of LDL-C and mortality.11 Studies on the association between levels of LDL-C and cardiovascular mortality found different results, with some studies showing a positive association only8 12 and some showing a U shaped association.11 Thus the association between LDL-C levels and the risk of all cause and cause specific mortality in the general population is unclear. Also, the concentration of LDL-C where the risk of mortality is lowest is not defined. In this study, we determined the association between levels of LDL-C and the risk of all cause and cause specific mortality. Also, we identified the LDL-C level associated with the lowest mortality in individuals in the contemporary ongoing Copenhagen General Population Study.

Methods

Study population

The study included individuals of Danish descent from the Copenhagen General Population Study, an ongoing cohort study with the first round of examinations in participants recruited in 2003-15. Invited individuals were aged 20-100 and randomly selected from the national Danish Civil Registration System, reflecting the Danish general population (43% participation rate). All participants completed a self-administered questionnaire, including questions on lifestyle factors and medical treatment, underwent a physical examination, and gave blood samples for biochemical measurements.

Endpoints

The number of deaths from any cause was obtained from the Danish Civil Registration System, a complete register of all residents in Denmark since 1968 without losses to follow-up. The cause of death from January 1977 onwards was retrieved from the national Danish Causes of Death Registry, based on the codes of the International Classification of Diseases, seventh, eighth, and 10th revisions (ICD-7, ICD-8, and ICD-10), and classified as cardiovascular, cancer, or other mortality. If one of the first three ranked causes of death had a cardiovascular diagnosis (ICD-10 codes I00-I90), death was categorised as cardiovascular mortality. The remaining deaths were classified as cancer mortality if one of the first three ranked causes of death had a cancer diagnosis (ICD-10 codes C00-C96), and as other mortality if death was not classified as cardiovascular or cancer mortality. Information on diagnoses of non-fatal and fatal myocardial infarction (ICD-8 code 410 and ICD-10 codes I21-I22) was obtained from the national Danish Patient Registry, a registry with information on all hospital contacts in Denmark from January 1977 onwards (outpatients and emergency wards from 1995), and the national Danish Causes of Death Registry (ICD-9 was never used in Denmark). Information on diagnoses of non-fatal and fatal cancer (ICD-7 codes 140-205 and ICD-10 codes C00-D09, excluding common skin cancers) was obtained from the national Danish Cancer Registry and the national Danish Causes of Death Registry.

Laboratory analyses

All blood samples were collected in the non-fasting state.13 Concentrations of LDL-C were calculated with the Friedewald equation as: Total cholesterol − high density lipoprotein cholesteroltriglycerides/2.2 in mmol/L (total cholesterol − high density lipoprotein cholesteroltriglycerides/5 in mg/dL) when triglyceride concentrations were less than 4 mmol/L (352 mg/dL), and were measured directly (Konelab) when triglyceride concentrations were 4 mmol/L or more (≥352 mg/dL). Concentrations of total cholesterol, high density lipoprotein cholesterol, triglycerides, and direct LDL-C were measured by standard hospital assays (Roche and Konelab).

Covariates

Statistical analyses were adjusted for a priori defined covariates (that is, for well known risk factors for mortality).14 Sex and age were derived from the Civil Registration Number. Blood pressure was measured at the physical examination. In the questionnaire, participants reported on their smoking status and cumulative number of pack years, lipid lowering treatment, and diabetes. Diagnoses of diabetes, cardiovascular disease, cancer, or chronic obstructive pulmonary disease before entry into the study were obtained from the national Danish Patient Registry. Individuals with diabetes were identified as those having a registered diagnosis in the national Danish Patient Registry, a non-fasting plasma glucose concentration of more than 11 mmol/L (198 mg/dL), treatment with antidiabetic drugs, or self-reported diabetes from the questionnaire.

Statistical analyses

Only participants with an LDL-C measurement at baseline were included in the study; 847 individuals were excluded because of missing LDL-C measurements. Data on potential confounders were more than 99% complete. The remaining missing values were imputed by multivariable chained imputation with fully conditional specification15; imputed and reported results were similar. Associations between levels of LDL-C and the risk of all cause mortality, cause specific mortality, myocardial infarction, and cancer were estimated by Cox proportional hazards regression models with 95% confidence intervals, with age as the underlying time scale (participants enter the risk set at baseline age and exit at censoring/event age=age adjustment) and left truncation (delayed entry at study examination). Follow-up started on the day of examination and ended at the first occurrence of death, myocardial infarction, cancer, emigration, or in December 2018. Individuals with a previous myocardial infarction or cancer were excluded when myocardial infarction or cancer was the endpoint. Multivariable adjusted statistical analyses were adjusted for age (as time scale), sex, current smoking, cumulative number of pack years, systolic blood pressure, lipid lowering treatment, diabetes, cardiovascular disease, cancer, and chronic obstructive pulmonary disease at baseline. The associations between levels of LDL-C and all endpoints were evaluated on a continuous scale with restricted cubic spline curves based on Cox proportional hazards models. To balance best fit and overfitting in the main splines for mortality, myocardial infarction, and cancer, the number of knots, between three and seven, was chosen as the lowest value for the Akaike information criterion, but if within two of each other for different knots, the lowest number of knots was chosen. The same number of knots from the main splines was also applied in splines for stratified analyses to allow direct comparison of overall and stratified analyses, including test of interaction. Interaction of levels of LDL-C with covariates for stratification on all cause mortality was examined by including two factor interaction terms in the Cox proportional regression model. The concentration of LDL-C associated with the lowest risk of mortality was the concentration with the lowest hazard ratio on the spline curve. The association between levels of LDL-C on a continuous scale and all cause mortality was also evaluated with fractional polynomials based on the Cox proportional hazards models. Furthermore, the associations between seven predefined LDL-C categories and all cause mortality were examined: five equally distributed categories of LDL-C were defined by the 20th, 40th, 60th, and 80th centiles, and to evaluate the highest and lowest levels of LDL-C, two additional categories were defined by the 5th and 95th centiles. The reference category for these analyses was the LDL-C level associated with the lowest risk of all cause mortality. Hazard ratios and 95% confidence intervals for categories of LDL-C are presented with and without regression dilution bias; restricted cubic splines and the results in the main paper are reported without this correction. Correction for regression dilution bias was done with a non-parametric method to correct for underestimation caused by random measurements and long term fluctuations.16 With LDL-C measurements from 9604 individuals with no atherosclerotic cardiovascular disease and who were not treated with lipid lowering agents participating in the 2003-15 examination and in the follow-up examination about 10 years later, a regression dilution ratio of 0.64 was determined for LDL-C (this ratio was used for the overall analyses for all individuals, regardless of follow-up time for the individual person—that is, the regression coefficients were multiplied by 1/0.64). Spline curves were not adjusted for regression dilution bias as we are not aware of a method to do this calculation. In sensitivity analyses, pretreatment levels of LDL-C were estimated in individuals receiving lipid lowering treatment as baseline LDL-C measurements multiplied by 1.43 for individuals with no concurrent diagnoses of ischaemic heart disease or stroke, and by 1.67 for individuals with known ischaemic heart disease or stroke, corresponding to a 30% and 40% reduction, respectively.17 All statistical analyses were performed in Stata/SE 15.1.

Patient and public involvement

No patients were involved directly in the design of the study, recruitment, or conduct of the study because our cohort consisted of normal individuals from the population at large (not patients) and because our study was planned in the year 2000 when direct patient involvement was not used in Denmark.

Results

The study included 108 243 individuals with 1 002 361 person years of follow-up (median follow-up 9.4 years, range 0-15 years). We found 11 376 (10.5%) deaths during follow-up, with a median age of 81 (range 26-106) at the time of death. Table 1 shows the baseline characteristics by LDL-C centile categories.
Table 1

Baseline characteristics of 108 243 individuals in the Copenhagen General Population Study

Centile (mmol/L, mg/dL)
1st-5th (<1.8, <70)6th-20th (1.8-2.3, 70-92)21st-40th (2.4-2.8, 93-112)41st-60th (2.9-3.3, 113-131)61st-80th (3.4-3.9, 132-154)81st-95th (4.0-4.8, 155-189)96th-100th (>4.8, >189)All
No of individuals6412 (6)15 681 (14)21 289 (20)22 207 (21)21 892 (20)15 999 (15)4763 (4)108 243
Women3202 (50)9068 (58)11 973 (56)12 385 (56)11 710 (53)8537 (53)2699 (57)59 574 (55)
Age (years)62 (47-72)56 (45-68)56 (46-67)58 (48-67)59 (50-67)60 (51-67)60 (52-67)58 (48-67)
Smoker961 (15)2441 (16)3291 (15)3674 (17)3872 (18)3203 (20)1107 (23)18 549 (17)
Pack years, ever smokers20 (8-38)15 (5-30)14 (5-29)15 (6-30)16 (7-30)18 (7-31)19 (8-32)16 (6-30)
Systolic blood pressure (mm Hg)137 (124-151)136 (122-151)137 (124-152)140 (126-154)141 (128-156)144 (130-159)145 (132-160)140 (126-155)
Lipid lowering treatment3030 (47)4166 (27)2891 (14)1584 (7)849 (4)373 (2)132 (3)13 025 (12)
Diabetes1249 (19)1218 (8)822 (4)563 (3)401 (2)269 (2)83 (2)4605 (4)
Atherosclerotic cardiovascular disease1806 (28)2262 (14)1756 (8)1413 (6)1200 (5)817 (5)223 (5)9477 (9)
Cancer557 (9)1093 (7)1393 (7)1474 (7)1508 (7)1081 (7)327 (7)7433 (7)
Chronic obstructive pulmonary disease1218 (19)2517 (16)3224 (15)3324 (15)3246 (15)2331 (15)666 (14)16 526 (15)
LDL-C (mmol/L)1.6 (1.4-1.7)2.2 (2.0-2.3)2.7 (2.6-2.8)3.2 (3.1-3.3)3.7 (3.6-3.9)4.4 (4.2-4.6)5.3 (5.1-5.7)3.2 (2.6-3.8)
LDL-C (mg/dL)62 (54-66)85 (77-89)104 (101-108)124 (119-128)143 (139-150)170 (162-178)205 (197-219)124 (101-147)

Values are median (interquartile range) or number (%).

LDL-C=low density lipoprotein cholesterol.

Baseline characteristics of 108 243 individuals in the Copenhagen General Population Study Values are median (interquartile range) or number (%). LDL-C=low density lipoprotein cholesterol.

LDL-C and all cause mortality

The association between levels of LDL-C on a continuous scale and risk of all cause mortality was U shaped; low and high levels of LDL-C were associated with an increased risk of all cause mortality (fig 1). This association was also found in those not receiving lipid lowering treatment. For individuals receiving lipid lowering treatment, however, the 95% confidence interval included the hazard ratio of 1.0 for any level of LDL-C (P value for interaction between LDL-C levels and lipid lowering treatment on all cause mortality was <0.001) (fig 1, eFig 1). Compared with individuals with concentrations of LDL-C of 3.4-3.9 mmol/L (132-154 mg/dL; 61st-80th centiles), the multivariable adjusted hazard ratio for all cause mortality was 1.25 (95% confidence interval 1.15 to 1.36) for individuals with concentrations of LDL-C less than 1.8 mmol/L (<70 mg/dL; 1st-5th centiles) and 1.15 (1.05 to 1.27) for individuals with concentrations of LDL-C greater than 4.8 mmol/L (>189 mg/dL; 96th-100th centiles) (fig 2).
Fig 1

Multivariable adjusted hazard ratios for all cause mortality according to levels of low density lipoprotein cholesterol (LDL-C) on a continuous scale. Solid blue lines are multivariable adjusted hazard ratios, with dashed blue lines showing 95% confidence intervals derived from restricted cubic spline regressions with three knots. Reference lines for no association are indicated by the solid bold lines at a hazard ratio of 1.0. Dashed yellow curves show the fraction of the population with different levels of LDL-C. Arrows indicate the concentration of LDL-C with the lowest risk of all cause mortality. Analyses were adjusted for age, sex, current smoking, cumulative number of pack years, systolic blood pressure, lipid lowering treatment, diabetes, cardiovascular disease, cancer, and chronic obstructive pulmonary disease at baseline. Based on individuals from the Copenhagen General Population Study followed for a mean 9.4 years

Fig 2

Hazard ratios for all cause mortality according to categories of levels of low density lipoprotein cholesterol (LDL-C), sex and age adjusted, and multivariable adjusted. Multivariable adjusted analyses were adjusted for age, sex, current smoking, cumulative number of pack years, systolic blood pressure, lipid lowering treatment, diabetes, cardiovascular disease, cancer, and chronic obstructive pulmonary disease at baseline. Based on individuals from the Copenhagen General Population Study followed for a mean 9.4 years

Multivariable adjusted hazard ratios for all cause mortality according to levels of low density lipoprotein cholesterol (LDL-C) on a continuous scale. Solid blue lines are multivariable adjusted hazard ratios, with dashed blue lines showing 95% confidence intervals derived from restricted cubic spline regressions with three knots. Reference lines for no association are indicated by the solid bold lines at a hazard ratio of 1.0. Dashed yellow curves show the fraction of the population with different levels of LDL-C. Arrows indicate the concentration of LDL-C with the lowest risk of all cause mortality. Analyses were adjusted for age, sex, current smoking, cumulative number of pack years, systolic blood pressure, lipid lowering treatment, diabetes, cardiovascular disease, cancer, and chronic obstructive pulmonary disease at baseline. Based on individuals from the Copenhagen General Population Study followed for a mean 9.4 years Hazard ratios for all cause mortality according to categories of levels of low density lipoprotein cholesterol (LDL-C), sex and age adjusted, and multivariable adjusted. Multivariable adjusted analyses were adjusted for age, sex, current smoking, cumulative number of pack years, systolic blood pressure, lipid lowering treatment, diabetes, cardiovascular disease, cancer, and chronic obstructive pulmonary disease at baseline. Based on individuals from the Copenhagen General Population Study followed for a mean 9.4 years An increased risk of all cause mortality at low levels of LDL-C were seen in men and women (eFigs 2-3). Also, the association was most pronounced in individuals aged 65 or younger (eFig 4). For categories of age, the P value for interaction between low levels of LDL-C and age on all cause mortality was <0.001 (eFig 5).

LDL-C level with the lowest risk of all cause mortality

The concentration of LDL-C associated with the lowest risk of all cause mortality in multivariable adjusted analyses was 3.6 mmol/L (140 mg/dL) in the overall population and in individuals not receiving lipid lowering treatment, compared with 2.3 mmol/L (89 mg/dL) in individuals receiving lipid lowering treatment (fig 1). Similar levels were seen in men and women and across age groups, except for men and women receiving lipid lowering treatment where the lowest risk of all cause mortality was at a concentrations of LDL-C of 2.7 mmol/L (105 mg/dL) and 1.9 (74 mg/dL), respectively (eFig 2, eFig 4).

LDL-C and cause specific mortality

In the overall population, the 95% confidence interval included the hazard ratio of 1.0 at any concentration of LDL-C for cardiovascular mortality whereas low levels of LDL-C were associated with an increased risk of cancer and other mortality (fig 3, eFig 6). In individuals not receiving lipid lowering treatment, the associations with cardiovascular, cancer, and other mortality were U shaped (eFig 6). In individuals receiving lipid lowering treatment, low levels of LDL-C were associated with increased cancer mortality but otherwise the 95% confidence interval included the hazard ratio of 1.0 at any concentration of LDL-C for cardiovascular, cancer, and other mortality (eFig 6). Also, the P value for interaction between levels of LDL-C and lipid lowering treatment was <0.001 for cardiovascular and other mortality, and 0.04 for cancer mortality.
Fig 3

Multivariable adjusted hazard ratios for cause specific mortality according to levels of low density lipoprotein cholesterol (LDL-C) on a continuous scale in the overall population. Solid blue lines are multivariable adjusted hazard ratios, with dashed blues lines showing 95% confidence intervals derived from restricted cubic spline regressions with three knots. Reference lines for no association are indicated by solid bold lines at a hazard ratio of 1.0. Dashed yellow curves show fraction of population with different levels of LDL-C. Arrows indicate the concentration of LDL-C with the lowest risk of mortality. Analyses were adjusted for age, sex, current smoking, cumulative number of pack years, systolic blood pressure, lipid lowering treatment, diabetes, cardiovascular disease, cancer, and chronic obstructive pulmonary disease at baseline. Based on individuals from the Copenhagen General Population Study followed for a mean 9.4 years

Multivariable adjusted hazard ratios for cause specific mortality according to levels of low density lipoprotein cholesterol (LDL-C) on a continuous scale in the overall population. Solid blue lines are multivariable adjusted hazard ratios, with dashed blues lines showing 95% confidence intervals derived from restricted cubic spline regressions with three knots. Reference lines for no association are indicated by solid bold lines at a hazard ratio of 1.0. Dashed yellow curves show fraction of population with different levels of LDL-C. Arrows indicate the concentration of LDL-C with the lowest risk of mortality. Analyses were adjusted for age, sex, current smoking, cumulative number of pack years, systolic blood pressure, lipid lowering treatment, diabetes, cardiovascular disease, cancer, and chronic obstructive pulmonary disease at baseline. Based on individuals from the Copenhagen General Population Study followed for a mean 9.4 years Analysing cardiovascular mortality by ICD-10 codes showed that 13% of individuals died from myocardial infarction, 13% from heart failure, and 25% from any stroke (eTable 1). For cardiovascular mortality not including fatal myocardial infarction, the results were similar to overall cardiovascular mortality (fig 4). Any increase in LDL-C levels was associated with an increased risk of fatal myocardial infarction, although low levels of LDL-C were associated with an increased risk of fatal heart failure but the 95% confidence interval was wide (fig 4). For any fatal stroke, the 95% confidence interval included a hazard ratio of 1.0 at any concentration of LDL-C (fig 4).
Fig 4

Multivariable adjusted hazard ratios for different cardiovascular mortality endpoints according to levels of low density lipoprotein cholesterol (LDL-C) on a continuous scale. Solid blue lines are multivariable adjusted hazard ratios, with dashed blue lines showing 95% confidence intervals derived from restricted cubic spline regressions with three knots. Reference lines for no association are indicated by solid bold lines at a hazard ratio of 1.0. Dashed yellow curves show fraction of population with different levels of LDL-C. Arrows indicate the concentration of LDL-C with the lowest risk of mortality. Analyses were adjusted for age, sex, current smoking, cumulative number of pack years, systolic blood pressure, lipid lowering treatment, diabetes, cardiovascular disease, cancer, and chronic obstructive pulmonary disease at baseline. Based on individuals from the Copenhagen General Population Study followed for a mean 9.4 years

Multivariable adjusted hazard ratios for different cardiovascular mortality endpoints according to levels of low density lipoprotein cholesterol (LDL-C) on a continuous scale. Solid blue lines are multivariable adjusted hazard ratios, with dashed blue lines showing 95% confidence intervals derived from restricted cubic spline regressions with three knots. Reference lines for no association are indicated by solid bold lines at a hazard ratio of 1.0. Dashed yellow curves show fraction of population with different levels of LDL-C. Arrows indicate the concentration of LDL-C with the lowest risk of mortality. Analyses were adjusted for age, sex, current smoking, cumulative number of pack years, systolic blood pressure, lipid lowering treatment, diabetes, cardiovascular disease, cancer, and chronic obstructive pulmonary disease at baseline. Based on individuals from the Copenhagen General Population Study followed for a mean 9.4 years

LDL-C and myocardial infarction

Any increase in LDL-C levels was associated with an increased risk of myocardial infarction in the overall cohort and in individuals not receiving lipid lowering treatment, although the 95% confidence interval included a hazard ratio of 1.0 at any concentration of LDL-C in individuals receiving lipid lowering treatment (P value for interaction between LDL-C levels and lipid lowering treatment on risk of myocardial infarction was 0.04) (fig 5).
Fig 5

Multivariable adjusted hazard ratios for myocardial infarction and cancer according to levels of low density lipoprotein cholesterol (LDL-C) on a continuous scale. Solid blue lines are multivariable adjusted hazard ratios, with dashed blue lines showing 95% confidence intervals derived from restricted cubic spline regressions, with four knots for myocardial infarction and three knots for cancer. Reference lines for no association are indicated by solid bold lines at a hazard ratio of 1.0. Dashed yellow curves show fraction of population with different levels of LDL-C. Arrow indicates the concentration of LDL-C with the lowest risk of cancer. Analyses were adjusted for age, sex, current smoking, cumulative number of pack years, systolic blood pressure, lipid lowering treatment, diabetes, cardiovascular disease, cancer, and chronic obstructive pulmonary disease at baseline. Based on individuals from the Copenhagen General Population Study followed for a mean 9.4 years

Multivariable adjusted hazard ratios for myocardial infarction and cancer according to levels of low density lipoprotein cholesterol (LDL-C) on a continuous scale. Solid blue lines are multivariable adjusted hazard ratios, with dashed blue lines showing 95% confidence intervals derived from restricted cubic spline regressions, with four knots for myocardial infarction and three knots for cancer. Reference lines for no association are indicated by solid bold lines at a hazard ratio of 1.0. Dashed yellow curves show fraction of population with different levels of LDL-C. Arrow indicates the concentration of LDL-C with the lowest risk of cancer. Analyses were adjusted for age, sex, current smoking, cumulative number of pack years, systolic blood pressure, lipid lowering treatment, diabetes, cardiovascular disease, cancer, and chronic obstructive pulmonary disease at baseline. Based on individuals from the Copenhagen General Population Study followed for a mean 9.4 years

LDL-C and cancer

Very low levels of LDL-C were associated with an increased risk of cancer in the overall population and in individuals not receiving lipid lowering treatment, although the 95% confidence interval included a hazard ratio of 1.0 at any concentration of LDL-C in individuals receiving lipid lowering treatment (P value for interaction between LDL-C levels and lipid lowering treatment on risk of cancer was 0.02) (fig 5).

Sensitivity analyses

The U shaped association between LDL-C levels on a continuous scale and all cause mortality was similar when a statistical method other than restricted cubic splines was used: with fractional polynomials, the concentration of LDL-C associated with the lowest risk of all cause mortality was 4.1 mmol/L (159 mg/dL) in the overall population, 4.0 mmol/L (155 mg/dL) in individuals not receiving lipid lowering treatment, and 2.1 mmol/L (82 mg/dL) in individuals receiving lipid lowering treatment (eFig 7 versus fig 1). To assess whether the positive association between low levels of LDL-C and an increased risk of all cause mortality could be explained by reverse causation as a result of severe disease, we excluded individuals with less than five years of follow-up (start of follow-up began five years after the baseline examination) and individuals with atherosclerotic cardiovascular disease, cancer, and chronic obstructive pulmonary disease at the start of the study. We found that the results were similar to the main analyses although the association was slightly reduced (fig 6, and eFigs 8-10 versus fig 1). Starting follow-up five years after the baseline examination excluded individuals dying within five years of baseline and individuals with less than five years of follow-up. Excluding only those dying within five years of the baseline examination gave similar results. Also, we found similar results when restricting analyses to individuals aged 40-70 and with no chronic diseases at baseline.
Fig 6

Multivariable adjusted hazard ratios for all cause mortality according to levels of low density lipoprotein cholesterol (LDL-C) on a continuous scale with the start of follow-up at year 5 and after exclusion of individuals with known atherosclerotic cardiovascular disease, cancer, and chronic obstructive pulmonary disease at baseline. Solid blue lines are multivariable adjusted hazard ratios, with dashed blue lines showing 95% confidence intervals derived from restricted cubic spline regressions with three knots. Reference lines for no association are indicated by solid bold lines at a hazard ratio of 1.0. Dashed yellow curves show fraction of population with different levels of LDL-C. Arrows indicate the concentration of LDL-C with the lowest risk of all cause mortality. Analyses were adjusted for age, sex, current smoking, cumulative number of pack years, systolic blood pressure, lipid lowering treatment, diabetes, cardiovascular disease, cancer, and chronic obstructive pulmonary disease at baseline. Based on individuals from the Copenhagen General Population Study followed for a mean 9.4 years

Multivariable adjusted hazard ratios for all cause mortality according to levels of low density lipoprotein cholesterol (LDL-C) on a continuous scale with the start of follow-up at year 5 and after exclusion of individuals with known atherosclerotic cardiovascular disease, cancer, and chronic obstructive pulmonary disease at baseline. Solid blue lines are multivariable adjusted hazard ratios, with dashed blue lines showing 95% confidence intervals derived from restricted cubic spline regressions with three knots. Reference lines for no association are indicated by solid bold lines at a hazard ratio of 1.0. Dashed yellow curves show fraction of population with different levels of LDL-C. Arrows indicate the concentration of LDL-C with the lowest risk of all cause mortality. Analyses were adjusted for age, sex, current smoking, cumulative number of pack years, systolic blood pressure, lipid lowering treatment, diabetes, cardiovascular disease, cancer, and chronic obstructive pulmonary disease at baseline. Based on individuals from the Copenhagen General Population Study followed for a mean 9.4 years Estimated pretreatment levels of LDL-C were examined to evaluate whether low levels of LDL-C caused by lipid lowering treatment, representing a high risk group with higher pretreatment levels, could explain the association between low levels of LDL-C and mortality. The results from these analyses gave similar results for all cause, cancer, and other mortality at low levels of LDL-C whereas the hazard ratios were nominally higher at high levels of LDL-C (eFig 11 versus fig 1, and fig 3). Low and high levels of LDL-C were associated with an increased risk of cardiovascular mortality. To assess the magnitude of effect size underestimation caused by random measurements and long term fluctuations, the hazard ratios and 95% confidence intervals for the association between LDL-C categories and all cause mortality were corrected for regression dilution bias (eFig 12 versus fig 2).

Discussion

In this study of 108 243 individuals from a contemporary ongoing general population cohort, we found a U shaped association between levels of LDL-C and the risk of all cause mortality, with low and high levels associated with an increased risk. The concentration of LDL-C with the lowest risk of all cause mortality was 3.6 mmol/L (140 mg/dL), well above the generally considered optimal concentration. These new results are likely to have implications for the interpretation of levels of LDL-C in clinical practice. As expected, the risk of myocardial infarction increased with any increase in the level of LDL-C.

Possible explanations for our findings

The association between low levels of LDL-C and an increased risk of all cause mortality could be explained by reverse causation. Debilitation and illness have been hypothesised to cause a decrease in levels of cholesterol18 19 and, in this study, comorbidities were more frequent in individuals with the lowest levels of LDL-C. Also, consistent with the theory that low levels of LDL-C are an indirect marker of severe disease, the association between low levels of LDL-C and the risk of all cause mortality was strongest in the age and sex adjusted model, and substantially reduced when adjusting for baseline comorbidities. An association remained after this adjustment, however, and after excluding individuals with less than five years of follow-up and known cardiovascular disease, cancer, and chronic obstructive pulmonary disease at baseline. Whether the remaining association, despite extensive comorbidity adjustment, can be attributed to residual confounding in terms of alternative mechanisms is unclear. The more pronounced association in individuals aged 65 or younger could point to an epiphenomenon where a pathophysiological abnormality, possibly genetic, causes an increased risk of mortality and decreased levels of LDL-C in parallel. The U shaped association between levels of LDL-C and mortality might be similar to the obesity paradox, which is largely explained by methodological issues, including reverse causation.20 In contrast with the obesity paradox, however, the U shaped association between levels of LDL-C and mortality in our study remained similar when analyses were restricted to healthy individuals aged 40-70 with no chronic diseases. This finding indicates that the obesity paradox and the U shaped association between levels of LDL-C and mortality are caused by different mechanisms.

Previous studies

Most studies investigating the relation between levels of LDL-C and the risk of all cause mortality have found no association 8 9 10 or an inverse association.5 6 7 Our study showed that the inverse association can be explained by the increased risk of all cause mortality associated with low levels of LDL-C rather than representing an actual decreased risk at high levels of LDL-C. Also, a recent study in young Koreans not taking lipid lowering drugs showed an association between low levels of LDL-C and an increased risk of all cause mortality, cardiovascular mortality, and cancer mortality,11 similar to our results in the group of individuals not receiving lipid lowering treatment. No previous study has examined the concentration of LDL-C associated with the lowest risk of all cause mortality in a general population cohort. One study in people aged 65 and over reported the lowest all cause risk of mortality at a concentration of LDL-C of 4.9 mmol/L (190 mg/dL) for women and 3.8 mmol/L (147 mg/dL) for men.21 In our study, we consistently found the lowest risk of all cause mortality at concentrations of LDL-C of 3.6-3.7 mmol/L (140-143 mg/dL) for men and women and across the age groups (≤65 or >65). Previous studies on the association between total cholesterol and risk of mortality showed a reversed J shaped or U shaped association, with the highest risk of all cause, cancer, and other mortality found at the lowest levels of total cholesterol, although positive, inverse, and no association with cardiovascular mortality have been reported.18 22 23 Also, we have recently found a similar U shaped association between levels of high density lipoprotein cholesterol and risk of all cause mortality.24

Lipid lowering treatment

The relatively low number of individuals receiving lipid lowering treatment in Denmark has been confirmed in previous studies.25 26 In our study, in individuals receiving lipid lowering treatment, the association between low levels of LDL-C and an increased risk of all cause, cancer, and other mortality was weaker than for individuals not receiving lipid lowering treatment. Any increase in levels of LDL-C, however, was associated with an increased risk of cardiovascular mortality but the 95% confidence intervals were wider and included a hazard ratio of 1.0 for all cause, cardiovascular, and other mortality at any concentration of LDL-C. This finding indirectly indicates a non-causal association and suggests that the reduction in levels of LDL-C caused by lipid lowering treatment does not explain the increased risk of mortality at low levels of LDL-C but rather low LDL-C levels is a predictor for mortality. Hence it would be incorrect to use our data as an argument against the use of lipid lowering treatment in the prevention of atherosclerotic cardiovascular disease and mortality. A recent meta-analysis of studies in individuals at high risk of atherosclerotic cardiovascular disease showed that more intensive lowering of levels of LDL-C was associated with a greater reduction in the risk of all cause and cardiovascular mortality.4 The remaining association between low levels of LDL-C and cancer mortality together with the association between very low levels of LDL-C and an increased risk of cancer (fatal and non-fatal) supports the hypothesis of a decrease in LDL-C levels because of debilitation and illness.

Clinical importance

Our results could be important for understanding what is a “normal and healthy” level of LDL-C in the general population (that is, when the focus is not limited to myocardial infarction and atherosclerotic cardiovascular disease). The finding of the lowest risk of all cause mortality at a concentration of LDL-C of 3.6 mmol/L (140 mg/dL) implies that in individuals with an otherwise low risk of atherosclerotic cardiovascular disease, an LDL-C level of around this value is not necessarily hazardous in itself. Any increase in LDL-C, however, was associated with an increased risk of myocardial infarction and death from myocardial infarction. Together, these results indicate the importance of assessing the absolute risk of atherosclerotic cardiovascular disease in deciding when to use lipid lowering treatment,27 28 rather than starting treatment based solely on a moderate increase in levels of LDL-C.

Strengths and limitations

The strengths of our study include, firstly, the size of the cohort in terms of the large number of individuals recruited, with no individuals lost to follow-up. Secondly, information on cause of death for every individual was obtained from Danish registries. Thirdly, we adjusted for several confounders with an effect on mortality risk.14 Fourthly, the strong positive association between any increase in levels of LDL-C and an increased risk of myocardial infarction supports the validity of this study. A limitation of our study is that it included only white individuals living in a Western country, which could limit the applicability of our results to other ethnicities; however, we are not aware of data to suggest that our results are not applicable to other ethnicities living in countries with a similar standard of living and healthcare system to Denmark. A recent study in young Koreans of supposedly comparable affluence to people in Denmark showed similar results to our study.11 In less affluent and less developed countries, levels of LDL-C associated with the lowest mortality could differ from our results. We only had information on lipid lowering treatment at baseline and cannot rule out that the results might have been influenced by individuals starting or stopping treatment with lipid lowering agents during follow-up. We could not adjust for weight loss, which has been associated with decreases in LDL-C levels, as this information was not available in our cohort. Some results were corrected for regression dilution bias to visualise the possible underestimation of the effect estimates; however, the main figures show unadjusted results and the true values are likely to lie somewhere between the corrected and uncorrected values. Finally, we could not deal with the question of causality because the design of the study was observational. This question could theoretically be looked at in mendelian randomisation analyses, modelling non-linear and U shaped relations.29 30 31 Modelling of U shaped associations in mendelian randomisation analyses, however, requires high statistical power and numerous genetic instruments explaining a large fraction of the variation in plasma concentrations of LDL-C. Such genetic data with sufficient statistical power were not available in our cohort. Nevertheless, future studies with more statistical power than our study could provide further insight into the potential causal nature of the association of levels of LDL-C with mortality with non-linear mendelian randomisation analyses.

Conclusions

Low and high levels of LDL-C were associated with an increased risk of all cause mortality in individuals in the general population. Similar results were seen for cancer and other mortality whereas no association was found for cardiovascular mortality overall. Also, individuals in the general population with a concentration of LDL-C of 3.6 mmol/L (140 mg/dL) live the longest. This finding, if confirmed in more studies, will have important clinical and public health implications. Conflicting results have been reported on the association between levels of LDL-C and all cause mortality Most previous studies were conducted in individuals aged over 65 in historical populations Low and high levels of LDL-C were associated with an increased risk of all cause mortality in the general population The lowest risk of all cause mortality was found at a concentration of LDL-C of 3.6 mmol/L (140 mg/dL)
  30 in total

1.  Low-density lipoprotein cholesterol and mortality in older people.

Authors:  Valérie Tikhonoff; Edoardo Casiglia; Alberto Mazza; Roberta Scarpa; Lutgarde Thijs; Achille C Pessina; Jan A Staessen
Journal:  J Am Geriatr Soc       Date:  2005-12       Impact factor: 5.562

2.  Long-Term Association of Low-Density Lipoprotein Cholesterol With Cardiovascular Mortality in Individuals at Low 10-Year Risk of Atherosclerotic Cardiovascular Disease.

Authors:  Shuaib M Abdullah; Laura F Defina; David Leonard; Carolyn E Barlow; Nina B Radford; Benjamin L Willis; Anand Rohatgi; Darren K McGuire; James A de Lemos; Scott M Grundy; Jarett D Berry; Amit Khera
Journal:  Circulation       Date:  2018-11-20       Impact factor: 29.690

3.  Risk factors for 5-year mortality in older adults: the Cardiovascular Health Study.

Authors:  L P Fried; R A Kronmal; A B Newman; D E Bild; M B Mittelmark; J F Polak; J A Robbins; J M Gardin
Journal:  JAMA       Date:  1998-02-25       Impact factor: 56.272

4.  Efficacy and safety of cholesterol-lowering treatment: prospective meta-analysis of data from 90,056 participants in 14 randomised trials of statins.

Authors:  C Baigent; A Keech; P M Kearney; L Blackwell; G Buck; C Pollicino; A Kirby; T Sourjina; R Peto; R Collins; R Simes
Journal:  Lancet       Date:  2005-09-27       Impact factor: 79.321

5.  Total serum cholesterol levels and mortality risk as a function of age. A report based on the Framingham data.

Authors:  R A Kronmal; K C Cain; Z Ye; G S Omenn
Journal:  Arch Intern Med       Date:  1993-05-10

6.  2019 ESC/EAS Guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk.

Authors:  François Mach; Colin Baigent; Alberico L Catapano; Konstantinos C Koskinas; Manuela Casula; Lina Badimon; M John Chapman; Guy G De Backer; Victoria Delgado; Brian A Ference; Ian M Graham; Alison Halliday; Ulf Landmesser; Borislava Mihaylova; Terje R Pedersen; Gabriele Riccardi; Dimitrios J Richter; Marc S Sabatine; Marja-Riitta Taskinen; Lale Tokgozoglu; Olov Wiklund
Journal:  Eur Heart J       Date:  2020-01-01       Impact factor: 29.983

7.  Extreme high high-density lipoprotein cholesterol is paradoxically associated with high mortality in men and women: two prospective cohort studies.

Authors:  Christian M Madsen; Anette Varbo; Børge G Nordestgaard
Journal:  Eur Heart J       Date:  2017-08-21       Impact factor: 29.983

Review 8.  Low-density lipoproteins cause atherosclerotic cardiovascular disease. 1. Evidence from genetic, epidemiologic, and clinical studies. A consensus statement from the European Atherosclerosis Society Consensus Panel.

Authors:  Brian A Ference; Henry N Ginsberg; Ian Graham; Kausik K Ray; Chris J Packard; Eric Bruckert; Robert A Hegele; Ronald M Krauss; Frederick J Raal; Heribert Schunkert; Gerald F Watts; Jan Borén; Sergio Fazio; Jay D Horton; Luis Masana; Stephen J Nicholls; Børge G Nordestgaard; Bart van de Sluis; Marja-Riitta Taskinen; Lale Tokgözoglu; Ulf Landmesser; Ulrich Laufs; Olov Wiklund; Jane K Stock; M John Chapman; Alberico L Catapano
Journal:  Eur Heart J       Date:  2017-08-21       Impact factor: 29.983

9.  Association of change in total cholesterol level with mortality: A population-based study.

Authors:  Su-Min Jeong; Seulggie Choi; Kyuwoong Kim; Sung-Min Kim; Gyeongsil Lee; Joung Sik Son; Jae-Moon Yun; Sang Min Park
Journal:  PLoS One       Date:  2018-04-19       Impact factor: 3.240

10.  Association of lipoprotein levels with mortality in subjects aged 50 + without previous diabetes or cardiovascular disease: a population-based register study.

Authors:  Lise Bathum; René Depont Christensen; Lars Engers Pedersen; Palle Lyngsie Pedersen; John Larsen; Jørgen Nexøe
Journal:  Scand J Prim Health Care       Date:  2013-09       Impact factor: 2.581

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  24 in total

1.  Low LDL-C levels are associated with risk of mortality in a Chinese cohort study.

Authors:  Jie-Ming Lu; Meng-Yin Wu; Zong-Ming Yang; Yao Zhu; Die Li; Zhe-Bin Yu; Peng Shen; Meng-Ling Tang; Ming-Juan Jin; Hong-Bo Lin; Li-Ming Shui; Kun Chen; Jian-Bing Wang
Journal:  Endocrine       Date:  2021-05-14       Impact factor: 3.633

2.  High Density Lipoproteins: Is There a Comeback as a Therapeutic Target?

Authors:  Arnold von Eckardstein
Journal:  Handb Exp Pharmacol       Date:  2022

3.  Low Values for Blood Pressure, BMI, and Non-HDL Cholesterol and the Risk of Late-Life Dementia.

Authors:  Melina G H E den Brok; Esmé Eggink; Marieke P Hoevenaar-Blom; Willem A van Gool; Eric P Moll van Charante; Edo Richard; Jan Willem van Dalen
Journal:  Neurology       Date:  2022-08-02       Impact factor: 11.800

4.  The LDL Apolipoprotein B-to-LDL Cholesterol Ratio: Association with Cardiovascular Mortality and a Biomarker of Small, Dense LDLs.

Authors:  Günther Silbernagel; Hubert Scharnagl; Christoph H Saely; Markus Reinthaler; Martin Rief; Marcus E Kleber; Barbara Larcher; John Chapman; Juergen R Schaefer; Heinz Drexel; Winfried März
Journal:  Biomedicines       Date:  2022-06-02

5.  Absolute and relative risk prediction in cardiovascular primary prevention with a modified SCORE chart incorporating ceramide-phospholipid risk score and diabetes mellitus.

Authors:  Mika Hilvo; Antti Jylhä; Mitja Lääperi; Pekka Jousilahti; Reijo Laaksonen
Journal:  Eur Heart J Open       Date:  2021-07-13

6.  Association between low density lipoprotein cholesterol and all-cause mortality: results from the NHANES 1999-2014.

Authors:  Ya Liu; Fubin Liu; Liwen Zhang; Junxian Li; Wenjuan Kang; Mingli Cao; Fangfang Song; Fengju Song
Journal:  Sci Rep       Date:  2021-11-11       Impact factor: 4.379

7.  Low density lipoprotein cholesterol and all-cause mortality rate: findings from a study on Japanese community-dwelling persons.

Authors:  Ryuichi Kawamoto; Asuka Kikuchi; Taichi Akase; Daisuke Ninomiya; Teru Kumagi
Journal:  Lipids Health Dis       Date:  2021-09-12       Impact factor: 3.876

8.  Monocyte-to-high-density lipoprotein-cholesterol ratio (MHR) and the risk of all-cause and cardiovascular mortality: a nationwide cohort study in the United States.

Authors:  Ming Jiang; Jiaming Yang; Huayiyang Zou; Menghuan Li; Wei Sun; Xiangqing Kong
Journal:  Lipids Health Dis       Date:  2022-03-18       Impact factor: 3.876

9.  Individualized Medication Review in Older People with Multimorbidity: A Comparative Analysis between Patients Living at Home and in a Nursing Home.

Authors:  Núria Molist-Brunet; Daniel Sevilla-Sánchez; Emma Puigoriol-Juvanteny; Lorena Bajo-Peñas; Immaculada Cantizano-Baldo; Laia Cabanas-Collell; Joan Espaulella-Panicot
Journal:  Int J Environ Res Public Health       Date:  2022-03-14       Impact factor: 3.390

10.  Association between serum low-density lipoprotein cholesterol and metabolic syndrome in a working population.

Authors:  Saibin Wang
Journal:  Lipids Health Dis       Date:  2021-07-18       Impact factor: 3.876

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