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Erschienen in: BMC Endocrine Disorders 1/2012

Open Access 01.12.2012 | Research article

The association of hypertriglyceridemia with cardiovascular events and pancreatitis: a systematic review and meta-analysis

verfasst von: M Hassan Murad, Ahmad Hazem, Fernando Coto-Yglesias, Svitlana Dzyubak, Shabnum Gupta, Irina Bancos, Melanie A Lane, Patricia J Erwin, Lars Berglund, Tarig Elraiyah, Victor M Montori

Erschienen in: BMC Endocrine Disorders | Ausgabe 1/2012

Abstract

Background

Hypertriglyceridemia may be associated with important complications. The aim of this study is to estimate the magnitude of association and quality of supporting evidence linking hypertriglyceridemia to cardiovascular events and pancreatitis.

Methods

We conducted a systematic review of multiple electronic bibliographic databases and subsequent meta-analysis using a random effects model. Studies eligible for this review followed patients longitudinally and evaluated quantitatively the association of fasting hypertriglyceridemia with the outcomes of interest. Reviewers working independently and in duplicate reviewed studies and extracted data.

Results

35 studies provided data sufficient for meta-analysis. The quality of these observational studies was moderate to low with fair level of multivariable adjustments and adequate exposure and outcome ascertainment. Fasting hypertriglyceridemia was significantly associated with cardiovascular death (odds ratios (OR) 1.80; 95% confidence interval (CI) 1.31-2.49), cardiovascular events (OR, 1.37; 95% CI, 1.23-1.53), myocardial infarction (OR, 1.31; 95% CI, 1.15-1.49), and pancreatitis (OR, 3.96; 95% CI, 1.27-12.34, in one study only). The association with all-cause mortality was not statistically significant.

Conclusions

The current evidence suggests that fasting hypertriglyceridemia is associated with increased risk of cardiovascular death, MI, cardiovascular events, and possibly acute pancreatitis.
Précis: hypertriglyceridemia is associated with increased risk of cardiovascular death, MI, cardiovascular events, and possibly acute pancreatitis
Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1186/​1472-6823-12-2) contains supplementary material, which is available to authorized users.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

MHM, VMM, LB and PJE conceived and designed the study and acquired funding. HM, AH, FCY, SD, SG, IB, ML and TE collected data. MHM, VMM and AH conducted analysis. MHM, VMM and LB drafted the manuscript. All authors provided critical revisions to the manuscript and made substantive intellectual contributions to the study. All authors read and approved the final manuscript.

Background

Hypertriglyceridemia is a manifestation of several common metabolic disorders in the western world. A recent cross-sectional study found that over 33% of adults in the United States had hypertriglyceridemia (serum triglyceride levels over 150 mg/dl (1.7 mmol/L)) of whom over 50% had serum triglyceride levels exceeding 200 mg/dl (2.2 mmol/L) [1].
The association of hypertriglyceridemia and clinically important complications such as cardiovascular events and acute pancreatitis has been suggested by several studies. Previous epidemiologic studies demonstrated increase in the risk of cardiovascular events although there has always been significant confounding due to varying levels of adjustments for traditional risk factors and other lipid subfractions [24]. As for pancreatitis, case series and uncontrolled studies reported that very severely elevated triglyceride levels are associated with lipemic serum, chylomicronemia syndrome, and increased risk of pancreatitis [57]. Serum triglycerides levels of 1000 mg/dl (11.3 mmol/L) and higher have been observed in 12% to 38% of patients presenting with acute pancreatitis [5]. However, the association with pancreatitis has not been evaluated in controlled studies or with less severe hypertriglyceridemia.
To update the evidence base to the present time (last meta-analysis [2] was performed 6 years ago), we conducted this systematic review and meta-analysis. Our goal was to assess the magnitude of association and the quality of supporting evidence linking hypertriglyceridemia with cardiovascular events, mortality and pancreatitis. We specifically aimed at comparing association measures in studies with varying levels of adjustment for cardiovascular risk factors and to search for controlled studies evaluating the risk of pancreatitis.

Methods

This systematic review was conducted according to a priori established protocol that was commissioned and funded by the Endocrine Society and is reported according to the PRISMA statement (Preferred Reporting Items for Systematic Reviews and Meta-analyses) [8].

Eligibility criteria

Eligible studies were randomized and observational studies that enrolled patients with untreated hypertriglyceridemia and reported a relative association measure between fasting serum triglycerides levels and the outcomes of interest: all-cause mortality, cardiovascular death, cardiovascular events and pancreatitis. We excluded uncontrolled studies and studies of nonfasting hypertriglyceridemia.

Study identification and data extraction

An expert reference librarian (P.J.E) created and implemented the electronic search strategy with input from study investigators (V.M.M. & M.H.M). We searched Ovid MEDLINE, Ovid EMBASE, Web of Science and SCOPUS through August of 2010. The detailed search strategy is available in Additional file 1. We also sought recommendations from content expert for potentially relevant studies to be included in the screening process.
Reviewers working independently and in duplicate assessed each abstract for eligibility. Disagreements yielded an automatic inclusion into the following level of screening. Included studied were retrieved and full text screening commenced in duplicate as well. Disagreements in this level were resolved by discussion and consensus. Online reference management system was used to conduct this review and it reported a real-time chance-adjusted agreement (kappa) statistic to evaluate the agreement among reviewers. Kappa averaged 0.80. Two reviewers working independently and in duplicate extracted baseline and outcome data and assessed the quality of included study. A third reviewer compared the reviewer's data and resolved inconsistencies by referring to the full text article.

Quality

Using the Newcastle-Ottawa scale, [9] reviewers assessed the quality of included observational studies (and control arms of RCT, considered as observational cohorts) by determining outcome ascertainment, adjustment for confounders, proportion of patients lost to follow-up as well as sample selection. We used the GRADE approach in evaluating the evidence yielded from included studies[10].

Statistical analysis

We pooled the relative association measures of relevant complications from included studies and analyzed the data using the random-effects model described by DerSimonian and Laird [11]. Heterogeneity in results across studies was measured using the I 2 statistic, which estimates the proportion of variation in results across studies that is not due to chance. An I 2 of 50% or more indicates large inconsistency between studies. Meta-analysis was completed using Comprehensive Meta-analysis (CMA) version 2.2 (Biostat Inc., Englewood, NJ).

Subgroup analyses and publication bias

A priori hypotheses were designed to explain between-study inconsistencies in results. These analyses sought an interaction with whether triglycerides levels were adjusted for other lipid fractions or not; whether the underlying metabolic disorder was diabetes vs. not; and whether the association differed between men and women. Publication bias was evaluated by assessing the symmetry of funnel plots and using Egger's regression test. In this regression, the size of the treatment effect is captured by the slope of the regression line and bias is captured by the intercept [12].

Results

Search results and included studies

Electronic search yielded 760 potentially eligible studies. Following screening, 60 studies met inclusion criteria, of which 35 reported data sufficient for meta-analysis [Figure 1].

Methodological quality and risk of bias

Included studies had a fair methodological quality (Table 2) with follow-up period reported by 85% of studies averaging 114 months; 58% of studies reported loss to follow-up of participants that ranged 0% to 27%. Adjustment for potential confounders was reported in 90% of studies and the outcome ascertainment method was reported in all studies. Cohort selection was random in 18% of the studies.
Table 1
Baseline Characteristics of Included Studies
Study Label
Design
Objective of Study
Population
Age (mean)
Sample Size
Length of Follow-up
Definition of CV
events
Acarturk, 2004[13]
Prospective cohort
to investigate the relation
between age and gender differences in plasma TG and
CAD in patients with angiographically proven
CAD
patients
admitted for
diagnostic
coronary
angiography
due to chest
pain
54.9 +/-10.26
937
NR
Coronary artery
disease
Bansal, 2007[14]
Prospective cohort
To determine the association
of triglyceride levels (fasting
vs nonfasting) and risk of
future cardiovascular events.
healthy women
54.2 +/-
7.06
26,509
136.8
Months (median)
composite of
confirmed nonfatal
MI, nonfatal ischemic stroke, coronary revascularization, or death due to cardiovascular causes
Barrett-Connor, 1987[15]
Prospective cohort
To examine the independent
effect of triglyceride on the prediction of cardiovascular disease after the effects of cholesterol and other heart
disease risk factors have been accounted for
healthy fasting
men without
known CVD
57.7
1,589
144 months
N/A
Bass, 1993[16]
Prospective cohort
To further explore the relationships between lipid
and lipoprotein levels and
other conventional CVD risk factors and CVD death on women
women 30
years of age
and older
58.2 +/-
5.5
1,405
Mean 168 months
N/A
Bonaventure, 2010[17]
Prospective cohort
To find the association
pattern between serum TG
and incident intracerebral hemorrhage as compared
with coronary events and ischemic stroke
Population-
based, elderly participants
free from institutionalization were recruited from the electoral
rolls of three
French cities
74.03
years
8,393
mean of 5 years
MI, hospitalized
angina pectoris, acute coronary
syndrome, coronary endovascular
dilatation, coronary bypass, or death due to a coronary event
Carlson, 1988[18]
RCT
To obtain a pronounced
serum lipid lowering by combined use of clofibrate
and nicotinic acid in an effort
to reduce the risk of IHD
Survivors of
MI < 70 years
of age
58.9 + -0.4 males and 62.5 + -0.9 females
Control group (n = 276)
60 months
N/A
Chan, 2005[19]
Prospective cohort
To examine the lipid profiles
in Chinese type 2 diabetic patients and their relationship with anthropometric parameters, glycemic control and cardiovascular mortality.
Chinese
patients with
type 2 DM
54.0 +/-
14.0
517
Mean 55.2 +/-10.8 months
N/A
Chester, 1995[20]
Prospective cohort
To determine the standard clinical or angiographic variables or both present at initial angiography associated with the development of adverse coronary events in patients awaiting routine
PTCA
Patients
awaiting
routine
percutaneous transluminal
coronary
angioplasty
(PTCA)
57
215
Median 8 months
fatal or non-fatal MI, unstable angina or angiographic new total coronary occlusion
Czernichow, 2007[21]
Prospective cohort
To investigated the
relationship of baseline 'hypertriglyceridemic waist' (HTGW) status with CVD
risk in middle-aged French
men
middle-aged
French men,
included
diabetics
51.9 +/-
4.7
3,430
90 months
new-onset angina,
fatal and non-fatal MI or stroke, transient ischemic attack,
sudden death or intermittent claudication
Drexel, 2005[22]
Prospective cohort
To evaluate the
atherogenicity of lipids in coronary patients with
normal fasting glucose
(NFG), impaired fasting glucose (IFG), and type 2
DM
Caucasian
patients who
were referred
to coronary angiography
62.4 +/-
10.6
750
27.6 +/- 4.8 months
N/A
Eberly, 2003[23]
Prospective cohort
To determine whether HTG
is an independent risk factor
for coronary heart disease (CHD), and whether fasting
and nonfasting triglyceride (TG) levels are equally predictive
men at increased
risk but without clinical
evidence of
definite CHD
at baseline
46.3
2809
304.8 months
either a clinical MI or
a significant serial electrocardiogram change indicative of
MI
Egger, 1999[24]
Prospective cohort
To assess the influence of differential precision in the measurement of the
correlated variables total cholesterol and HDL cholesterol on estimates of
risk of IHD associated with
TG levels
Middle aged
men living in
the town of
Caerphilly,
South Wales,
UK
52.1 +/-
4.48
2,512
5 and 10 years after baseline
death from ischemic heart disease, clinical non-fatal MI, electrocardiographic
MI
Ellingsen, 2003[25]
Prospective cohort
to examine the effect of
group assignment on IHD mortality in subjects with normal or high fasting TG
healthy men
who had an
elevated serum
total
cholesterol concentration
or coronary
risk score
46 +/-3
1232
276 months
N/A
Gaziano, 1997[26]
Case controlled study
To examine the interrelationships of the
fasting TG level other lipid parameters and nonlipid risk factors with risk of MI.
Patients -
coronary care
and other
intensive care
units patients
(no history of
MI and angina pectoris) with
whom
symptoms of
MI had begun
24 h of
admission,
control -
residents of
home towns.
57.7 +/-
9.65
680
NR
N/A
Goldberg, 2009[27]
Prospective/
case controlled
To ascertain coronary artery disease outcomes and
predictive factors in patients with SLE and matched
healthy controls
prospectively
Patients with
systemic lupus erythematosus
(SLE) and
matched
healthy
controls
SLE cases 44.2 +/-12.2, controls 44.5 +/-
4.4
237 controls and 241 SLE cases
86.4 months
Defined as the occurrence of MI and/or angina pectoris due to atherosclerosis.
Habib, 2006[28]
Prospective cohort
To evaluate the association of serum TC and TG with
clinical outcomes in chronic peritoneal dialysis (PD)
patients.
Patients on
chronic
peritoneal
dialysis; only
in end-stage
renal disease
(ESRD) or
patients those
very ill
patients who
died rapidly
due to unrelated conditions.
57.2 +/
15.3
1,053
23 +/- 14 months
N/A
Haim, 1999[29]
Prospective cohort
To investigate the association between elevated blood triglyceride levels and subsequent mortality risk in patients with established coronary heart disease
(CHD)
patients with a diagnosis of CHD
59.76 +/- 6.96
11,546
61.2 months
N/A
Hoogeveen, 2001[30]
Case controlled study
To determine the effect of immigration to the USA ion plasma levels of lipoprotein a and other independent risk factors for CHD in Asian Indians
Asian Indians
and Asian
Indians living
in the USA
with and
without CHD
44.2 +/- 12.79
309
NR
Coronary heart disease - incidents not specifically defined
Jonsdottir, 2002[31]
Prospective cohort
To examine the relationship between the relative risk of baseline variables and
verified MI or coronary death
in individuals with no prior history of MI
male and
female from
Reykjavik and adjusted
communities
52.7 +/-
8.71
18,569
Mean 208.8 months
N/A
Lamarche, 1995[32]
Prospective cohort
To confirm the importance of both elevated plasma cholesterol and decreased
high density lipoprotein cholesterol levels as risk
factors for ischemic heart disease
men without
ischemic heart
disease
57.5
2,103
60 months
Effort angina pectoris, coronary
insufficiency, nonfatal MI, and coronary
death
Lloret Linares, 2008[33]
Retrospective cohort
to assess retrospectively the prevalence and the predictive factors of acute pancreatitis (AP)
Patients
referred by
their general practitioner or
general
hospital for
very high TG
levels.
47 +/-
10.7
129
NR
N/A
Lu, 2003[34]
Prospective cohort
To determine whether non-
HDL cholesterol, a measure
of total cholesterol minus
HDL cholesterol, is a
predictor of CVD in patients with DM
American
Indians with
DM
57.28 +/-
8
2,108
108 months
Coronary heart
disease,
MI, stroke, and other CVD
Malone, 2009[35]
Prospective cohort
This study evaluated cardiometabolic risk factors
and their relationship to prevalent diagnosis of acute
MI (AMI) and stroke.
People
continuously
receiving
health
insurance
benefits during
study
56.8 +/- 0.03
170,648
24 months
N/A
Mazza, 2005[36]
Prospective cohort
To evaluate whether TG level
is a risk factor for CHD in elderly people from general population, and to look for interactions between TG and other risk factors.
elderly people
from general population
CHD in elderly
people from
general
population
73.8 +/- 5
3,257
144 months
N/A
Mora, 2008[37]
Prospective cohort
To evaluate levels of lipids
and apolipoproteins after a typical meal and to determine whether fasting compared
with non-fasting alters the association of these lipids
and apolipoproteins with incident CVD.
Healthy
women, aged
> = 45 years,
who were free
of self-
reported CVD
or cancer at
study entry and with follow-up for
incident CVD.
54.7
26,330
136.8 months
Nonfatal MI, percutaneous
coronary
intervention,
coronary artery
bypass grafting, nonfatal stroke,
or
cardiovascular
death
Noda, 2010[38]
Case controlled study
To examine the prediction of coronary risk factors and evaluation of the predictive value for MI among Japanese middle-aged male workers.
Japanese male
workers
cases 50.4 + -5.3, controls 50.4 + -5.5 years
cases 204 and controls 408
36 months
N/A
Rubins, 1999[39]
RCT
To analyze the role of raising HDL cholesterol level and lowering triglyceride levels
to reduce the rate of coronary events in patients with
existing cardiovascular
disease
men with
coronary heart
disease with
absence of
serious
coexisting
conditions
64 + -7
1267 (placebo)
61.2 months
combined incidence of nonfatal MI or death from coronary heart disease
Samuelsson, 1994[40]
Prospective cohort
To analyze the importance of DM and HTG as potential
risk factors for CHD in
middle-aged, treated hypertensive men
middle aged
treated
hypertensive
men
52 +/- 2.3
686
180 months
Non-fatal MI, a fatal MI, a death certificate statement of coronary atherosclerosis as the cause of death
Schupf, 2005[41]
Prospective cohort
To investigate the
relationship between plasma lipids and risk of death from
all causes in non demented elderly
Community-
based sample
of Medicare
recipients
without
dementia
76.1
2,277
Mean 36 +/- 30 months
N/A
Sprecher, 2000[42]
Prospective cohort
To evaluate the predictive
value of serum triglyceride levels on mortality in post coronary artery bypass graft(CABG) diabetic
patients with subsequent analysis by sex
Diabetic post
CABG patients
at a large
metropolitan
hospital
63 +/- 9
1,172
84 months
N/A
Tanko, 2005[43]
Prospective cohort
To investigate the relative utility of enlarged waist combined with elevated TG (EWET) compared with the National Cholesterol
Education Program (MS-NCEP) criteria in estimating future risk of all-cause and cardiovascular mortality
Postmenopausal women
60.4 +/-
7.1
557
8.5 +/- 0.3 years
N/A
Tsai, 2008[44]
Retrospective cohort
To assess the effect of a
single and a combination of "pre-disease" risk factors of metabolic syndrome on the overall and cardiac mortality.
civil servants
and teachers
40 years and
older
52.4 + -
8.0
35,259
median follow-up of 15 years
N/A
Upmeier, 2009[45]
Prospective cohort
To determine whether high levels of serum total
cholesterol and low levels of HDL are related to increased mortality in elderly
Home
dwelling older
adults residents in Finland
70 years
877
144 months
N/A
Valdivielso, 2009[46]
Prospective cohort
To study the prevalence, risk factors and vascular disease associated with moderate and sever HTG in an active
working population
Active
working
population of
Spain
36 ± 10 years
594,701
NR
documented prior medical
diagnosis of heart disease, cerebrovascular
disease or peripheral arterial disease
Wier, 2003[47]
Prospective cohort
To investigate the
relationship between triglyceride and stroke
outcome
nondiabetic
patients
presenting to
acute stroke
unit
Median
70 years
1310
mean 1195 days
N/A
UC/NR: unclear, not reported; TG: Triglycerides; HTG, hypertriglyceridemia; MI, myocardial infarction; DM, diabetes, BP, blood pressure, HTN, hypertension
Triglycerides Conversion: from mg/dL to mmol/L: multiply by (x) 0.01129; from mmol/L to mg/dL: multiply by (x) 88.6
Table 2
Quality of Included Studies
Study Label
Cohort Selection (sampling)
Outcome ascertainment*
Adjustments for variables
% lost to follow-up
Definition of hypertriglyceridemia
Acarturk, 2004[13]
not random; all patients
admitted for diagnostic
coronary angiography
chart review, angiography results
NR
NR
TG value in the blood was used
as a continuous number
(variable). OR expresses
increased risk per unit of serum
TG level
Bansal, 2007[14]
derived from women health study, previously completed randomized controlled trial of aspirin and vitamin E
chart review, events adjudicated by
an end point committee
adjusted for treatment
assignment to ASA,
vitamin E, beta
carotene, age, BP,
smoking status, and use
of hormone therapy,
levels of total
cholesterol and HDL-C,
history of DM, BMI,
high-sensitivity C-
reactive protein
0
TG value in the blood was used
as a continuous number
(variable). OR expresses increased risk per unit of serum TG level
Barrett-Connor, 1987[15]
random sample
chart review, ICD or billing codes,
death certificates
adjust by TG level, age,
BP, BMI, smoking
habit, DM, family
history of heart attack
0.5%
Compared normal to "borderline HTG", defined as TG between
240-500 mg/dL (2.7-5.65
mmol/L)
Bass, 1993[16]
subset of female participants
in the Lipid Research Clinics' Follow-up Study
chart review, annual checkups
Adjusted for age, HTN,
DM, smoking, history
of heart disease and
estrogen use
NR
Compared TG < 200 mg/dL
(< 2.25 mmol/L) to elevated 200
to 399 mg/dL (2.25 to 4.49
mmol/L) and high > 400 mg/dL (> 4.50 mmol/L)
Bonaventure, 2010[17]
not random and not consecutive: recruited from electoral rolls
Death certificates and autopsy
reports, ascertained the same way
in cases and controls
medical history of MI,
stroke, or peripheral
arterial disease, as well
as smoking and alcohol consumption status
(never, former, current),
excess weight, elevated
BP, DM, apolipoprotein
E (APOE) genotype,
low-dose aspirin intake, and lipid-lowering treatment
NR
They compared tertiles or
quintiles: TG < 83.4 mg/dL
(< 0.94), 84.2-117.8 mg/L (0.95-1.33), and > 118.7 mg/dL (1.34 mmol/L)
Carlson, 1988[18]
consecutive sample (all patients presenting with HTG)
chart review, ascertained the same
way in cases and controls, done
without knowledge of patients' TG
level
NR
13.4%
3 groups according to TG levels. Low = TG < 132.9 mg/dL (1.5 mmol/L), intermediate = TG
132.9-177.2 mg/dL (1.5-2.0 mmol/L), high = TG > 177.2 (2.0 mmol/L).
Chan, 2005[19]
not random;
consecutive patients with type 2 DM, not HPTG
chart review, death registry
Adjusted for sex
and age. stepwise linear regression with BMI,
WC, HbA1c, FPG and
HOMA as independent
variables and lipid
profile as dependent
variable
0
Unclear
Chester, 1995[20]
consecutive sample (all men presenting with HTG and are awaiting routine angioplasty)
chart review,
done without knowledge of
patients' TG level
The potential predictor
variables-that is, risk
factors assessed at
baseline angiography,
for adverse events were
analyzed using the
multiple logistic
regression models.
2
TG value in the blood was used
as a continuous number
(variable). Here OR expresses increased risk per unit of serum
TG level: mmol/L
Czernichow, 2007[21]
consecutive sample
self report, chart review, ICD or
billing codes, ascertained
differently: self report in all
patients, however if a CVD event
was reported -- chart review and
ICD billing codes were reviewed
for those individuals only
Age
NR
Age-adjusted relative risk
correlate to one standard
deviation increase in TG levels
Drexel, 2005[22]
consecutive sample
follow up investigation after 2.3
years, Time and causes of death
were obtained from national
surveys, hospital records
age, sex, and use of
lipid-lowering
medication
0
Unclear
Eberly, 2003[23]
not random; likely consecutive sample: 2863 men with both nonfasting and fasting TG levels measured at screens 1 and 2
self report, chart review, ICD or
billing codes, death certificates
age, lipids subfractions,
glucose level, BP,
cigarettes smoked per
day, alcohol use, BMI
and race
0
TG value in the blood was used
as a continuous number
(variable). Here OR expresses increased risk per unit of serum
TG level: mg/dL
Egger, 1999[24]
not random; likely consecutive sample: Participants of the Caerphilly Heart Disease Study
self report, chart review, ICD or
billing codes
age, all three lipid
factors, laboratory error
and within person
variation, blood
glucose and diastolic
BP, BMI, smoking and
markers for pre-existent
disease
12.5
TG value in the blood was used
as a continuous number
(variable). Here OR expresses increased risk per unit of serum
TG level: mmol/L
Ellingsen, 2003[25]
not random; likely
consecutive sample: 1232
healthy men with elevated cholesterol or coronary risk
score included in the study
from a pool of 16202
screened men
chart review, ICD or billing codes, ascertained the same way in cases
and controls
adjusted for age, BMI,
cigarette smoking, total cholesterol,
triacylglycerol, glucose,
BP, dietary score,
alcohol intake, and
activity level
0
TG value in the blood was used
as a continuous number
(variable). Here OR expresses increased risk per unit of serum
TG level: high TG > or = 178.1 mg/dL (2.01 mmol/L)
Gaziano, 1997[26]
not random, likely
consecutive sample:
Men/women < 76 yrs. age
with no prior history of CAD discharged from one of 6
Boston area hospitals with the diagnosis of confirmed MI
chart review, medical exam/lab
analysis,
ascertained differently: cases were interviewed 8 weeks after MI
Adjusted for age, sex,
history of HTN, history
of DM, body mass
index, type A
personality, family
history of previous MI,
alcohol consumption,
physical activity,
smoking, caloric intake
12
they compared quintiles, highest compared to lowest
Goldberg, 2009[27]
consecutive sample (all
patients presenting with HTG)
chart review, telephone calls,
ascertained the same way in cases
and controls
A time-to-event
regression model was
performed to establish
the role of baseline lipid subfractions, other
metabolic risk factors,
lifestyle variables, and demographic
characteristics in
relation to the development
of CAD.
3.8
high triglyceride level > = 248.1 mg/dL (2.8 mmol/L)
Habib, 2006[28]
Data from the United States Renal Data System database collected during the
prospective Dialysis
Morbidity and Mortality
Study Wave 2 study
chart review
age, gender, race,
weight, height, primary
cause of ESRD,
hemoglobin, serum
albumin, serum calcium phosphate product,
serum bicarbonate,
residual kidney
creatinine clearance, PD parameters (dialysate
effluent volume,
dialysis creatinine
clearance, D/P creatinine ratio after a 4 h dwell), use of lipid-modifying medications and comorbidity characteristics
0
TG value in the blood was used
as a continuous number
(variable). Here OR expresses increased risk per unit of serum
TG level: HR is using a
reference of TG levels 200-300
mg/dl (2.2-3.4 mmol/L)
Haim, 1999[29]
not random; likely
consecutive sample
chart review, ICD or billing codes
age, previous MI, DM,
NYHA class, HTN,
LDL cholesterol,
glucose, chronic
obstructive pulmonary
disease, peripheral
vascular disease, stroke,
angina pectoris,
smoking, and lipids
0.37
TG value in the blood was used
as a continuous number
(variable). Here OR expresses increased risk per unit of serum
TG level: mg/dL
Hoogeveen, 2001[30]
Random sample
chart review, clinical exam and investigations,
ascertained the same way in cases
and controls
Logistic regression
applied but no specific adjustments are
mentioned
12
TG value in the blood was used
as a continuous number
(variable). Here OR expresses increased risk per unit of serum
TG level: 10 mg/dL (0.11 mmol/L)
Jonsdottir, 2002[31]
not random; likely
consecutive: subjects of the Reykjavik Study
self report, chart review, ICD or billing codes
age, high-density lipoprotein cholesterol, total/low-density lipoprotein cholesterol, smoking, body mass index and BP
0.6
TG value in the blood was used
as a continuous number
(variable). Here OR expresses increased risk per unit of serum
TG level: mmol/L
Lamarche, 1995[32]
random sample
chart review, Examination/EKG/death certificate
Adjusted for age,
systolic BP, DM,
alcohol consumption,
and tobacco use
27
TG value in the blood was used
as a continuous number
(variable). Here OR expresses increased risk per unit of serum
TG level: TG > 203.8 mg/dL (2.3 mmol/L)
Lloret Linares, 2008[33]
not random and not
consecutive: Patients referred
by their general practitioner
or general hospital for very
high TG levels to
Endocrinology Dept. between 2000 and 2005
self report, chart review
Adjusted for age at hospitalization
NR
TG: lowest 95.1-180 mg/dL
(1.1-2.0 mmol/L) vs. highest
360-1505 gm/dL (4.1-17
mmol/L).
Lu, 2003[34]
not random; likely
consecutive: cohort chosen
from the strong heart study to include only DM, no baseline CVD
through death certificates and tribal
and Indian Health Service hospital records and by direct contact of
study personnel with the study participants and their families
Adjusted for age, BMI,
smoking status, study
center, systolic BP,
HbA1c, fibrinogen,
insulin, and ratio of
albumin to creatinine
0
They compared tertiles or
quintiles: TG: lower < 111; 111-
175; higher > 175 mg/dL
(lower < 1.2; 1.2-2.0; higher > 2.0 mmol/L)
Malone, 2009[35]
Not random; likely
consecutive: Retrospective
data from 3 integrated health-care systems that
systematically collect
and store detailed patient-level data.
Chart review, ICD or billing codes
Adjusted for age, sex,
smoking status and site
N/A
lower/normal TG - 80.0 mg/dl
(0.9 mmol/L); higher TG - TG = 217.4 mg/dl (2.4 mmol/L)
Mazza, 2005[36]
random sample
chart review, ICD or billing codes, through the Register Office, general practitioners
Gender, age, DM,
obesity, lipids
subfractions, serum uric
acid, BP, smoking,
alcohol and proteinuria
0
They compared tertiles or
quintiles: TG: First (low) < 97.5 mg/dL (1.01 mmol/L); Fifth (high) > = 156.8 mg/dL (1.77 mmol/L)
Mora, 2008[37]
Random sample enrolled in
the Women's Health Study
Follow-up questionnaires every 6-
12 months
Adjusted for age,
randomized treatment assignment, smoking
status, menopausal
status, postmenopausal
hormone use, BP, DM,
and BMI
NR
They compared tertiles or
quintiles: TG: First (low) < 89.5 mg/dL (1.01 mmol/L); Fifth (high) > = 180.7 mg/dL (2.04 mmol/L)
Noda, 2010[38]
not random and not
consecutive: death related to a MI defined a case, then 2 controls were selected
randomly matched by age
Death registration from 1997-2000,
done without knowledge of
patients' TG level,
ascertained the same way in cases
and controls
Adjusted for age and 6
risk factors for MI
NR
TG value in the blood was used
as a continuous number
(variable). Here OR expresses increased risk per unit of serum TG level: High TG > = 150 mg/dL (1.7 mmoml/L)
Rubins, 1999[39]
not random and not
consecutive: to obtain
population with appropriate
lipid levels, a multi stage screening method that
included two lipid profiles obtained one week apart
chart review, clinical and radiologic
data, ascertained the same way in
cases and controls
Adjustment for baseline
variables in the Cox
models had a trivial
effect on the estimates
of the hazard ratios
2.3%
Two groups: TG < 150 mg/dl (1.7 mmol/L) and TG > 150 mg/dl (1.7 mmol/L)
Samuelsson, 1994[40]
random sample
chart review
traditional risk factors,
end-organ damage
status
NR
TG value in the blood was used
as a continuous number
(variable). Here OR expresses increased risk per unit of serum
TG level: RR reported for every
88.6 mg/dL (1 mmol/L) increase
in TG level
Schupf, 2005[41]
random sample
self report, chart review,
interviewing relatives
Adjusted for age, sex,
ethnicity, and level of
education, for BMI or
APOE; a history of
HTN, DM, heart
disease, stroke, or
cancer; or current
smoking
0
They compared tertiles or
quintiles: Lowest - < = 98.9 mg/dl
(1.1 mmol/L), highest
- > 191.2 mg/dl (2.1 mmol/L); RR compared the lowest quartile to
the highest quartile.
Sprecher, 2000[42]
not random; likely
consecutive: diabetic patients undergoing primary isolated CABG between 1982 and
1992 at Cleveland Clinic
chart review, clinical exam, labs
and CVIR (Cardiovascular
Information Registry)
age, sex, left ventricular
function, coronary
anatomy, history of
HTN, BMI, and total
cholesterol
NR
highest quartile compared to
lower three quartiles (normal)
Tanko, 2005[43]
not random and not
consecutive:
recruited via a questionnaire surveys
self report, chart review: Central
Registry of the Danish Ministry of
Health
Adjusted for age,
smoking, and LDL-C),
waist circumference
NR
TG value in the blood was used
as a continuous number
(variable). Here OR expresses increased risk per unit of serum
TG level: presented as 2 cutoffs - > 128.5 mg/dL (1.45 mmol/L) - > 149.7 mg/dL (1.69 mmol/L)
Tsai, 2008[44]
not random; likely
consecutive:
civil servants and teachers
who took the annual physical examination at the Taipei Outpatient Center
chart review, annual exam, national
death files
Adjusted for age,
gender, fasting glucose,
BP, BMI, smoking
NR
They compared tertiles or
quintiles: TG
normal < 150 mg/dL (1.7
mmol/L, abnormal 150 mg/dL
(1.7 mmol/L)-199 mg/dL (2.2 mmol/L), and high abnormal
> 200 mg/dL (2.25 mmol/L)
Upmeier, 2009[45]
not random and not
consecutive:
mailed invitation to
participate to all residents of Turku born in 1920
Self report, chart review,
ICD or billing codes
Adjusted for gender,
body mass index,
smoking and any history
of angina pectoris,
stroke, DM, and HTN
NR
They compared TG level
quartiles, highest to lowest
Valdivielso, 2009[46]
not random; likely consecutive
Chart review and self report
age, sex, smoking,
HTN, DM, and lipids
fractions
NR
Categorized as normal when TG
was < 150 mg/dL (< 1.69
mmol/L); the remainder were considered to be HTG
Wier, 2003[47]
not random; likely
consecutive
chart review,
done without knowledge of
patients' TG level
age, time of resolution
of symptoms, smoking,
BP, presence of atrial
fibrillation and
hyperglycemia
0
They compared tertiles or
quintiles: TG, mmol/l: < = 0.9;
1.0-1.3; 1.4-1.8; > = 1.9.
Mg/dL: < = 79.7; 88.6-115.2;
124.0-159.5; > = 168.3
UC/NR: unclear, not reported; TG: Triglycerides; HTG, hypertriglyceridemia; MI, myocardial infarction; DM, diabetes, BP, blood pressure, HTN, hypertension
* It was unclear in most studies if enrolled patients did not have the outcomes pre-existent at baseline. In most studies, it was also unclear if patients were treated with drugs that can affect TG level (both of these elements lower the observed strength of association)
Triglycerides Conversion from mg/dL to mmol/L: multiply by (x) 0.01129; from mmol/L to mg/dL: multiply by (x) 88.6

Meta-analysis

The total number of included studies was 35 enrolling 927,218 patients who suffered 132,460 deaths and 72,654 cardiac events; respectively. Hypertriglyceridemia was significantly associated with cardiovascular death, cardiovascular events, myocardial infarction, and pancreatitis; with odds ratios (95% confidence interval) of 1.80 (1.31-2.49), 1.37 (1.23-1.53), 1.31 (1.15-1.49) and 3.96 (1.27-12.34); respectively. There was nonsignificant association with all-cause mortality (OR: 1.10; 95% CI: 0.90-1.36). Forest plots depicting the results of random effects meta-analysis are presented in Figures 2, 3, 4 and 5.
It is worth noting that the association with acute pancreatitis was estimated by only one eligible study that included 129 patients with severe hypertriglyceridemia (119 with type IV phenotypes and 10 with type V phenotypes according to Fredrickson's classification) of whom 26 suffered acute pancreatitis [33]. In this study, subjects in the third tertile of TG had a 4.0-fold increased risk (95% confidence interval, 1.3-12.3) compared with the first tertile and those diagnosed with dyslipidemia at a younger age also had increased risk.
All analyses were associated with important heterogeneity (I 2 > 50%) that our planned subgroup analyses could only partially explain (Table 3). The association of hypertriglyceridemia with mortality and cardiovascular mortality seemed to be stronger in women. These findings are consistent with a previous meta-analysis published in 1996. Hokanson and Austin estimated adjusted relative risks for incident cardiovascular events of 1.14 (95% Cl 1.05-1.28) in men and 1.37 (95% Cl 1.13-1.66) in women. The association with cardiovascular events was somewhat stronger in patients with diabetes although this effect was not statistically significant. Hence, there were no other significant subgroup interactions to explain heterogeneity (based on the level of adjustment for lipids subfractions, sex or the presence of diabetes).
Table 3
Subgroup analysis
Subgroup
No.
studies
OR
LL
UL
P-effect
Size
P-
interaction
Mortality
Men
3
1.03
0.95
1.12
0.49
0.04
Women
3
1.55
1.05
2.27
0.03
 
adequate adjustment
9
1.09
0.83
1.43
0.55
0.54
inadequate adjustment
3
1.22
0.94
1.59
0.14
 
General population
10
1.09
0.87
1.37
0.46
0.49
Diabetes
2
1.37
0.75
2.50
0.31
 
Cardiovascular death
Men
3
1.14
0.92
1.40
0.23
0.00
Women
2
4.73
2.15
10.37
0.00
 
adequate adjustment
5
1.88
1.12
3.15
0.02
0.84
inadequate adjustment
4
1.76
1.18
2.62
0.01
 
General population
8
1.75
1.26
2.43
0.00
0.36
Diabetes
1
2.97
1.00
8.80
0.05
 
Cardiovascular events
Men
6
1.29
1.13
1.47
0.00
0.67
Women
2
1.21
0.94
1.57
0.14
 
adequate adjustment
12
1.39
1.23
1.58
0.00
0.91
inadequate adjustment
4
1.37
1.01
1.84
0.04
 
General population
15
1.37
1.22
1.54
0.00
0.81
Diabetes
1
1.42
1.11
1.81
0.00
 
Myocardial infarction
Men
2
1.22
1.09
1.37
0.00
0.24
Women
1
1.40
1.15
1.70
0.00
 
adequate adjustment
3
1.72
0.98
3.01
0.06
0.29
inadequate adjustment
3
1.26
1.15
1.39
0.00
 
General population
5
1.27
1.13
1.44
0.00
0.13
Diabetes
1
2.04
1.12
3.70
0.02
 
*Only feasible analyses are shown
There was no evidence of publication bias (P value for Eggers test > 0.05 for all outcomes) although these analyses were underpowered to detect this problem and the presence of heterogeneity further limits the ability to detect publication bias.

Discussion

We conducted a systematic review and meta-analysis and documented an association between fasting hypertriglyceridemia and the risk of several cardiovascular adverse events and with pancreatitis.

Limitations, strengths and comparison with other reports

The main limitation of association studies is the observational nature of the existing evidence. Therefore, confounders (particularly, baseline risk of patients for developing cardiovascular disease and the effect of other lipid subfractions abnormalities) threaten the validity of results. In meta-analyses of observational studies, the ability to adjust for confounding is limited by the level of adjustment conducted in the original studies. We attempted to evaluate confounding by conducting subgroup analysis; however, this analysis was underpowered. Other limitations pertain to heterogeneity of the meta-analytic estimates, publication bias (which remains likely in the context of observational studies that do not require prospective registration) and reporting bias (which is also likely considering that several studies met the eligibility criteria for this review but did not report the outcomes of interest) [48]. It was unclear in most studies if enrolled patients did not have some of the outcomes pre-existent at baseline and it was also unclear if patients were treated with drugs that can affect TG level (both of these elements lower the confidence in the observed associations). We only found one controlled study that evaluated the association with acute pancreatitis.
The overall confidence in the estimated magnitude of associations is low [10]considering the described methodological limitations in evaluating the association with cardiovascular events; and imprecision (small number of events) in evaluating the association with pancreatitis.
The strengths of this study stems from the comprehensive literature search that spans across multiple databases and duplicate appraisal and study selection. Our results are consistent with previous evidence synthesis reports about the association of hypertriglyceridemia with cardiovascular events. We estimated increased odds by 37% (odds ratio of 1.37). Hokanson and Austin [3] estimated adjusted relative risks of 1.14 (95% Cl 1.05-1.28) in men and 1.37 (95% Cl 1.13-1.66) in women. Sarwar et al. [2] reported odds ratio of 1.73 in prospective cohort studies published prior to 2006. A systematic review by Labreuche et al. [49] demonstrated that baseline triglyceride levels in randomized trials is associated with increased stroke risk (adjusted RR, 1.05 per 10-mg/dL (0.1 mmol/L) increase; 95% CI, 1.03-1.07). To our knowledge, this is the first systematic review that sought to identify controlled studies evaluating the association with pancreatitis.

Implications

The associations demonstrated between hypertriglyceridemia and cardiovascular risk should not necessarily translate into a recommendation for treatment. It is plausible that the benefits of lowering triglycerides do not merely depend on how much the level is lowered, but rather on how it is lowered (i.e., lifestyle interventions vs. pharmacological therapy). Therefore, randomized trials of the different approaches with patient-important outcomes [50] used as primary endpoints are needed for making policy and clinical decisions.
Several systematic reviews and meta-analyses [49, 5154] have summarized the evidence from randomized trials of fibrate therapy and demonstrated that fibrate therapy reduced the risk of vascular events (RR 0.75, 95% CI 0.65 to 0.86) in patients with high triglyceride levels or atherogenic dyslipidemia (low HDL cholesterol combined with high triglyceride level) although all-cause mortality and non cardiovascular mortality were both significantly increased in clofibrate trials. Meta-analyses [55, 56] of niacin therapy demonstrate significant reduction in the risk of major coronary events (25% reduction in relative odds; 95% CI 13, 35), stroke (26%; 95% CI 8, 41) and any cardiovascular events (27%; 95% CI 15, 37). However, contemporary trials in the statin era have failed to substantiate these findings with fenofibrate among patients with diabetes [57] and with niacin in high risk patients [58]. Also, to our knowledge, there are no trials assessing the value of triglyceride lowering to reduce the risk of pancreatitis. Thus, lifestyle changes should remain the mainstay of therapy. Treatment of the underlying metabolic disorder (e.g., insulin resistance) should also be an essential and first step in the management plan of hypertriglyceridemia.

Conclusions

The current evidence suggests that hypertriglyceridemia is associated with increased risk of cardiovascular death, MI, cardiovascular events, and acute pancreatitis. The strength of inference is limited by the unexplained inconsistency of results and high risk of confounding and publication bias.

Acknowledgements

This review was funded by a contract from the Endocrine Society. The funder had no role in study design; in the collection, analysis, and interpretation of data; in the writing of the manuscript; and in the decision to submit the manuscript for publication.
Disclosure statement
MM, AH, FC, SD, SG, IB, ML, LB and VM have nothing to declare.
Financial support
This review was funded by a contract from the Endocrine Society.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://​creativecommons.​org/​licenses/​by/​2.​0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

MHM, VMM, LB and PJE conceived and designed the study and acquired funding. HM, AH, FCY, SD, SG, IB, ML and TE collected data. MHM, VMM and AH conducted analysis. MHM, VMM and LB drafted the manuscript. All authors provided critical revisions to the manuscript and made substantive intellectual contributions to the study. All authors read and approved the final manuscript.
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Metadaten
Titel
The association of hypertriglyceridemia with cardiovascular events and pancreatitis: a systematic review and meta-analysis
verfasst von
M Hassan Murad
Ahmad Hazem
Fernando Coto-Yglesias
Svitlana Dzyubak
Shabnum Gupta
Irina Bancos
Melanie A Lane
Patricia J Erwin
Lars Berglund
Tarig Elraiyah
Victor M Montori
Publikationsdatum
01.12.2012
Verlag
BioMed Central
Erschienen in
BMC Endocrine Disorders / Ausgabe 1/2012
Elektronische ISSN: 1472-6823
DOI
https://doi.org/10.1186/1472-6823-12-2

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