Cardiovascular safety of non-steroidal anti-inflammatory drugs: network meta-analysis
BMJ 2011; 342 doi: https://doi.org/10.1136/bmj.c7086 (Published 11 January 2011) Cite this as: BMJ 2011;342:c7086All rapid responses
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The demonstration of increased cardiovascular disease (CVD) from anti
-inflammatory drugs, as reported by Trelle et al,1 is in obvious conflict
with the current hypothesis concerning the origin of CVD, which ascribes
the disease to inflammation induced by oxidized cholesterol. If
inflammation were the cause of CVD, drugs that ameliorate inflammation
should be protective. Since anti-inflammatory drugs actually increase
myocardial infarction, stroke and CVD mortality, decreased inflammation
produced by these drugs must enhance the pathogenic factors causing CVD.
Increasing evidence points to infection by micro-organisms as a key
etiological factor in the pathogenesis of CVD.2 Infectious diseases in
children narrow the coronary arteries and thicken the carotid intima-
media; CVD mortality increases during influenza epidemics; the degree of
atherosclerosis in those who die from an infectious disease is associated
with the length of the preceding infection; and a third of patients with
acute CVD have had an infectious disease immediately before onset.2
Fever, diaphoresis, leukocytosis and elevation of inflammatory markers in
the blood, including CRP, the classical symptoms of an infectious disease,
are common findings in myocardial infarction; and chronic elevation of CRP
in patients with atherosclerosis is also a risk factor for myocardial
infarction. An infectious pathogenesis of CVD also explains the presence
of Chlamydia pneumoniae remnants in the myocardium in acute myocardial
infarction. In addition, remnants of more than 50 different bacterial and
several virus species have been demonstrated within atherosclerotic
plaques, but not a single one in normal arterial tissue.2
How do micro-organisms invade the arterial wall and atherosclerotic
plaques during atherogenesis? A little known but well documented function
of lipoproteins is to bind and inactivate bacteria, viruses, and their
toxic products. Our hypothesis is that aggregates of lipoproteins, micro-
organisms, LDL thiolated by homocysteine, and anti-oxLDL antibodies
obstruct vasa vasorum, causing ischemia, hypoxia, and death of arterial
cells.2 The result is a micro-abscess of arterial wall, the vulnerable
plaque. Extensive pathological evidence supports adventitial vasa vasorum
as the initial site of arterial inflammation in atherogenesis.3,4
1. Trelle S, Reichenbach S, Wandel S, Hildebrand P, Tschannen B,
Villiger PM, Egger M, J?ni P. Cardiovascular safety of non-steroidal anti-
inflammatory drugs: network meta-analysis. BMJ doi: 10.1136/bmj.c7086.
2. Ravnskov U, McCully KS. Review and Hypothesis: Vulnerable Plaque
Formation from Obstruction of Vasa Vasorum by Homocysteinylated and
Oxidized Lipoprotein Aggregates Complexed with Microbial Remnants and LDL
Autoantibodies. Ann Clin Lab Sci 2009; 39:3-16.
3. Higuchi ML, Gutierrez PS, Bezerra HG, Palomino SA, Aiello VD,
Silvestre JML, Libby P, Ramires JAF. Comparison between Adventitial and
Intimal Inflammation of Ruptured and Nonruptured Atherosclerotic Plaques
in Human Coronary Arteries. Arq Bras Cardiol 2002;79:20-4.
4. Maiellaro K, Taylor WR. The role of the adventitia in vascular
inflammation. Cardiovasc Res 2007;75:640-8.
Competing interests: No competing interests
Studies based on network meta-analysis are increasingly being
published (1,2). However, one issue that has thus far attracted little
attention is the choice of the graphs that are presented to summarize the
information generated by this relatively new type of meta-analysis. The
modality that most authors have favoured relies on the presentation of
multiple Forest plots. In addition, some specialized papers have advocated
the use of even more complex graphs (3).
In our view, the practical need for non specialised readers of this
type of article is to have a single graph ("simplified graph") that limits
the information presented in the plot to the results of individual
comparisons (in terms of statistical superiority or lack of statistically
significant difference for each of the comparisons).
A few examples of these simplified graphs have already been made
available (see references 4 and 5). Interestingly enough, an open source
program that plots these simplified graphs can be freely downloaded from
the Internet (6).
These simplified graphs represent each direct comparison with a solid
arrow, each indirect comparison with a dotted arrow, and present the
statistical results by indicating the relative risk (or odds-ratio) with
its 95% confidence interval. In some cases (5), symbols (such as + or -)
are added to explicitly indicate the treatment favoured by the clinical
result.
In our view, the simplified graph should in general be preferred in
papers directed to a non specialised readership.
1) Trelle S, Reichenbach S, Wandel S, Hildebrand P, Tschannen B,
Villiger PM, Egger M, Juni P. Cardiovascular safety of non-steroidal anti-
inflammatory drugs: networkmeta-analysis. BMJ 2011;
342:doi:10.1136/bmj.c7086
2) Caldwell DM , Ades AE, Higgins JPT. Simultaneous comparison of
multiple treatments: combining direct and indirect evidence. BMJ
2005;331:897
3) Salanti G,. Ades AE, Ioannidis JPA. Graphical methods and
numerical summaries for presenting results from multiple-treatment meta-
analysis: an overview and tutorial. Journal of Clinical Epidemiology 2011;
64: 163-171
4) Elliott WJ. Incident diabetes in clinical trials of
antihypertensive drugs: a network meta-analysis Lancet 2007; 369: 201-07
5) Anonymous. Newsletter. Website of SIFO (Italian Society of
Hospital Pharmacists), url
http://www.sifoweb.it/pdf/notizie/sifo_graficoatrialfibrillation.pdf last
accessed on 22 February 2011.
6) Anonymous. Programme GRNETMA.EXE, Website of SIFO (Italian
Society of Hospital Pharmacists), url
http:http://www.osservatorioinnovazione.org/netma/grnetma.zip last
accessed on 22 February 2011.
Competing interests: No competing interests
What is the definition of low baseline risk, medium baseline risk and
high baseline risk? How can you determine if a patient is in low and not
high?
Competing interests: No competing interests
Baseline
risks and the resulting numbers needed to harm in the low risk group for the
outcomes "death from any cause" and "APTC" were incorrect
in our initial rapid response. We are sorry for any inconvenience.
Corrected version:
We agree with Thain that rate ratios are difficult to
use for clinical decision making. Measures of absolute risk, including numbers
needed to harm (NNH) or numbers needed to treat (NNT), should not be directly
pooled in meta-analysis, however. [1]. Rather, NNH and NNT need to be
calculated from the rate ratio based on an assumed baseline risk [2], which
will depend on characteristics of a specific population. As previously
discussed [3], event rates in included trials were considerably lower than what
is observed in routine clinical settings. Below, we provide tables with
estimated NNHs and NNTs using three different baseline risks:
Low baseline risk typical for included trial
populations, with an assumed incidence of 2/1000 patient-years each for myocardial
infarction, stroke, and cardiovascular death, 3/1000 patient-years for death
from any cause and 5/1000 patient-years for the APTC composite outcome of
death, myocardial infarction or stroke.
Moderate baseline risk typically found in an elderly
population of patients with chronic musculoskeletal pain who are considered for
long-term use of non-steroidal anti-inflammatory drugs, with an assumed
incidence of 10/1000 patient-years each for myocardial infarction, stroke, and
cardiovascular death and 20/1000 patient-years for death from any cause and the
APTC composite outcome of death, myocardial infarction or stroke [4,5].
High baseline risks typically found in patients with
multiple cardiovascular risk factors or known history of coronary or cerebral
artery disease, with an assumed incidence of 20/1000 patient-years each for
myocardial infarction, stroke, and cardiovascular death and 40/1000
patient-years for death from any cause and the APTC composite.
For patients with chronic musculoskeletal pain who are
considered for long-term use of non-steroidal anti-inflammatory drugs, an NNH
of 33 for etoricoxib indicates, for example, that 33 patients will have to
undergo continuous treatment with etoricoxib during one year at moderate to
high doses to cause one cardiovascular death. This number is clearly clinically
relevant.
1. Ebrahim S: Numbers needed to treat derived from
meta-analyses: pitfalls and cautions. In: Systematic Reviews in Health Care.
Meta-analysis in Context. (Edited by: Egger M, Davey Smith G, Altman DG).
London: BMJ Books 2001 , 386-399.
2. Altman DG, Deeks JJ. Meta-analysis, Simpson's
paradox, and the number needed to treat. BMC Med Res Methodol 2002;2:3.
3. Juni P, Nartey L, Reichenbach S, Sterchi R, Dieppe
PA, Egger M. Risk of cardiovascular events and rofecoxib: cumulative
meta-analysis. Lancet 2004; 364: 2021-9.
4. Ray WA, Stein CM, Daugherty JR, Hall K, Arbogast PG, Griffin MR. COX-2
selective non-steroidal anti-inflammatory drugs and risk of serious coronary
heart disease. Lancet 2002; 360: 1071-3.
5. Solomon DH, Goodson NJ, Katz JN, et al. Patterns of cardiovascular risk in
rheumatoid arthritis. Ann Rheum Dis 2006; 65: 1608-12.
Competing interests: No competing interests
The comprehensive network meta-analysis of Trelle and colleagues1
provides further evidence that non-steroid anti-inflammatory drugs
(NSAIDs) increase the risk of cardiovascular events, including both
myocardial infarction and stroke. The documented increase in blood
pressure with both conventional and COX-2-selective NSAIDs2 might account
for much of the excess risk, particularly the increase in risk of stroke.
However, it should not be forgotten that COX-2 inhibitors retain
potentially important safety advantages over conventional NSAIDs,
including lower rates of peptic ulceration and gastrointestinal bleeding,3
asthma,4 urticaria5 and hepatitis,3 which may yet favour their use over
non-selective agents NSAIDs, particularly in patients at low risk of
cardiovascular events. Whatever the choice of NSAID, clinicians should
minimize exposure to these agents by titrating the dose and duration of
treatment according to clinical response.
References
1. Trelle S, Reichenback S, Wandel S, et al. Cardiovascular safety of
non-steroidal anti-inflammatory drugs: network meta-analysis. BMJ
2011:342:c7086.
2. Aw T-J, Haas SJ, Liew D, Krum H. Meta-analysis of cyclooxygenase-2
inhibitors and their effects on blood pressure. Arch Int Med 2005;165:490-
6.
3. Silverstein FE, Faich G, Goldstein JL, et al. Gastrointestinal
toxicity with celecoxibvsnonsteroidal anti-inflammatory drugs for
osteoarthritis and rheumatoid arthritis. JAMA 2000;284:1247-55.
4. West PM, Fernandez C. Safety of COX-2 inhibitors in asthma
patients with aspirin hypersensitivity. Ann Pharmacotherapy 2003;37:1497-
1501.
5. Zembowicz A, Mastalerz L, Setkowicz M, Radziszewski W, Szczeklik
A. Safety of cyclooxygenase 2 inhibitors and increased leukotriene
synthesis in chronic idiopathic urticaria with sensitivity to nonsteroidal
anti-inflammatory drugs. Arch Dermatol 2003;139:1577-82.
Competing interests: No competing interests
This study confirm that treatment with various types of non-steroidal
anti-inflammatory drugs was linked with a significantly higher risk for
strokes.Nociceptive pain (low back pain, osteoarthritis)is very common
after stroke. Medications should be chosen based upon the medical
condition causing pain, the ability of the stroke survivor to comply with
administration of the medication, and the cost of the medication.
Appropriate and timely treatments will result in maximum function and the
ability to lead active lives and maintain an adequate quality of life.
Based on this study the choose of combination of analgesics (acetaminophen
and tramadol) should be consider more.
Competing interests: No competing interests
The authors should be congratulated for the comprehensive synthesis
in this meta-analysis. I write in particular about the exploration of
COX-2 selectivity shown in Table 5 (Web Appendix 2). The assumption is
that there is a linear gradient in COX-2 selectivity and the regression
coefficients show essentially no effect on cardiovascular outcomes.
However, a previous paper by Solomon et al (Nonsteroidal anti-inflammatory
drug use and acute myocardial infarction. Arch Int Med (2002) 162:1099-
1104) shows a U-shaped graph in relation to MI, i.e. both COX-1 and COX-2
selective NSAIDS show increased risk, with non-selective NSAIDS, e.g.
naproxen, showing the lowest risk. I'm curious whether a non-linear model
might fit the network meta-analysis data in a similar way?
Competing interests: No competing interests
Thanks to both Magnus Hird and Sven Trelle for taking the time to
respond so informatively. As a GP who is mellowing in both age and
intellect, these figures are very helpful.
Competing interests: No competing interests
We agree with Thain that rate ratios are
difficult to
use for clinical decision making. Measures of absolute risk, including
numbers
needed to harm (NNH) or numbers needed to treat (NNT), should not be
directly
pooled in meta-analysis, however. [1]. Rather, NNH and NNT need to be
calculated from the rate ratio based on an assumed baseline risk [2],
which
will depend on characteristics of a specific population. As previously
discussed [3], event rates in included trials were considerably lower
than what
is observed in routine clinical settings. Below, we provide tables with
estimated NNHs and NNTs using three different baseline risks:
Low baseline risk typical for included trial
populations, with an assumed incidence of 2/1000 patient-years each for
myocardial
infarction, stroke, and cardiovascular death, 4/1000 patient-years for
death
from any cause and 4/1000 patient-years for the APTC composite outcome
of
death, myocardial infarction or stroke.
Moderate baseline risk typically found in an elderly
population of patients with chronic musculoskeletal pain who are
considered for
long-term use of non-steroidal anti-inflammatory drugs, with an assumed
incidence
of 10/1000 patient-years each for myocardial infarction, stroke, and
cardiovascular death and 20/1000 patient-years for death from any cause
and the
APTC composite outcome of death, myocardial infarction or stroke
[4,5].
High baseline risks typically found in patients with
multiple cardiovascular risk factors or known history of coronary or
cerebral
artery disease, with an assumed incidence of 20/1000 patient-years each
for
myocardial infarction, stroke, and cardiovascular death and 40/1000
patient-years for death from any cause and the APTC composite.
For patients with chronic musculoskeletal pain who are
considered for long-term use of non-steroidal anti-inflammatory drugs,
an NNH
of 33 for etoricoxib indicates, for example, that 33 patients will have
to
undergo continuous treatment with etoricoxib during one year at moderate
to
high doses to cause one cardiovascular death. This number is clearly
clinically
relevant.
1. Ebrahim S: Numbers needed to treat derived from
meta-analyses: pitfalls and cautions. In: Systematic Reviews in Health
Care.
Meta-analysis in Context. (Edited by: Egger M, Davey Smith G, Altman
DG).
London: BMJ Books 2001 , 386-399.
2. Altman DG, Deeks JJ. Meta-analysis, Simpson's
paradox, and the number needed to treat. BMC
Med Res Methodol 2002;2:3.
3. Juni P, Nartey L, Reichenbach S, Sterchi R, Dieppe
PA, Egger M. Risk of cardiovascular events and rofecoxib: cumulative
meta-analysis. Lancet 2004; 364: 2021-9.
4. Ray WA, Stein CM, Daugherty JR, Hall K, Arbogast PG, Griffin MR.
COX-2
selective non-steroidal anti-inflammatory drugs and risk of serious
coronary
heart disease. Lancet 2002; 360: 1071-3.
5. Solomon DH, Goodson NJ, Katz JN, et al. Patterns of cardiovascular
risk in
rheumatoid arthritis. Ann
Rheum Dis 2006; 65: 1608-12.
Competing interests: No competing interests
Some general thoughts on the issue
This is a meta-analysis of clinical trials of NSAIDs, against each
other or against placebo, using network analysis methodology to enable
direct and indirect comparisons. Clinical trials were included only if
they contributed at least 100 person-years of follow-up per study arm. The
indications for use of NSAIDs were varied, including prevention of
Alzheimer's disease, prevention of cancer degeneration of adenomatous
polyps, osteoarthritis and rheumatoid arthritis. Outcomes are multiple:
myocardial infarction, stroke, cardiovascular death, death from any cause,
APTC composite outcome. The results are variable, showing globally that
the risk of these vascular outcomes is increased with most of these drugs
to varying degrees, variable also according to the outcome looked at, with
little consistency. Using the composite outcome, only ibuprofen (2.26,
1.11 to 4.89), rofecoxib (1.44, 1.00 to 1.99), and lumiracoxib (2.04, 1.13
to 4.24) seemed to be worse than placebo. Comparing the drugs two by two,
again the results are variegated. For instance diclofenac is worse than
naproxen and celecoxib for stroke, but not for other events, and the same
is true for most drugs, that will be better than others or worse depending
on the outcome.
My reservations and comments:
- the number of outcomes are extremely low: myocardial infarction was 554
cases in 117218 person-years, i.e., one in 216 patient-years (0.46 per
hundred patient-years), death one in 173 patient-years (0.6%), stroke
0.3%, etc, which seem low in this patient population of mostly older
patients with OA. Especially, for instance there were only 2 trials
including ibuprofen vs celecoxib or lumiracoxib, with very few events, and
these served for extrapolations for comparisons with other drugs. The same
is true for other drugs: there were 9 trials with diclofenac, dominated by
the MEDAL study including about 20000 patients per group treated with
diclofenac vs etoricoxib, i.e. about ten times more than any other study.
Of course all these are taken into account in the analysis, but this makes
me wary of drawing too firm conclusions.
- the indications for the drugs are often unusual, with about a third of
the studies concerned with prevention of Alzheimer's disease, and another
third in the prevention of colorectal polyps or other cancer, which are
not the usual indications for, or the usual patient population of NSAIDs.
I am not certain risks in these populations extrapolate to NSAIDs users in
real life.
- the use of the drugs is also quite unusual compared to real-life usage
patters, in that the doses used are high (2400 mg for ibuprofen, 100-150
mg for diclofenac), and duration of continuous use if very long (up to 3
years for the prevention of Alzheimer or the adenomatous polyps studies).
Mean duration of studies was 117 weeks for Alzheimer, 171 weeks for
polyps, 45 weeks for OA, and 64 weeks for RA. Common dispensation for OA
is around 100 DDD per year (14 weeks), for RA continuous (360 DDD per
year). Since in this meta-analysis OA represents about 72% of patients and
62% of patient-years contributed to the analysis, how this discrepancy
with real-life usage patterns can impact on the representativity or
transposability of results is difficult to apprehend.
My major issue with all these trials, especially those against
placebo is that one arm is treated with powerful analgesics at analgesic
or anti-inflammatory doses on a daily basis over long periods of time,
whereas the other arm receives placebo. This could mean that the untreated
or placebo-treated patients may be more prone to episodes of common pain,
flu or injury, for which they would quite naturally seek relief. Obviously
the situation would be much worse in OA or RA patients who have an
actively painful disorder. Thankfully most OA and RA studies are not
placebo controlled, so the problem would concern mostly the Alzheimer and
polyp prevention studies. In these patients, what would be or was the pain
relief used? Was it another NSAID, was it paracetamol (which is not an
effective painkiller, as the authors point out), or was it aspirin? If the
placebo controls used more aspirin for common pain relief (including
because they were told not to use NSAIDs), then that might modify the risk
in the placebo group rather than in the treatment group. This reasoning
might also apply to low-dose (200 mg) celecoxib, which is not an effective
painkiller below 400 - 800 mg.
Finally comparisons with placebo are important to demonstrate formal
risk in the absolute. However the fact is that OA and even more so RA
patients cannot go without pain relief, and this pain relief will be
mostly NSAIDs, as the authors point out. The study shows that there is no
drug that is consistently better or worse than all the others, so that in
a situation of choice between drugs, the prescriber still has little
information to go on. These studies were all designed to demonstrate
efficacy in the various primary endpoints, with as little as possible
interference from concomitant diseases or risk factors, not safety.
Consequently, most of the patients included in the clinical trials were
probably free from heart disease or major cardiovascular risk factors: the
overall death rate is 0.6 per hundred patient-years, which is lower than
the population average, if one expects these patients to be generally
above the age of 60: in France, one of the countries with the lowest death
rates, yearly death rate is 0.8% for the 60-64, 1.1% for 65-69, 2.2% for
70-79, 6.6% for 80-89 and 21.3% above 90. There is therefore no
information on any possible interaction with patients at real-life risk
from these clinical trials, and the real risk estimates can only come from
clinical trials in representative populations (i.e. non-selected
populations), or from appropriate pharmacoepidemiological studies.
It is not certain how the risk of NSAIDs-related thrombotic events is
modified by or modifies other cardiovascular risk factors, or if it is
simply additive. If not, then the recommendation to take into account the
patient's cardiovascular risk when choosing NSAIDs is meaningless, since
the risk is essentially the same for all drugs at reasonably the same
dose. The present recommendation to start with paracetamol (considering
the patient's nutritional status and liver function), then move to NSAIDs
if the analgesic effect of paracetamol is insufficient appears reasonable.
In patients with cardiovascular disease or cardiovascular risk factors,
these should be taken care of, obviously, and independently from the
eventual use of NSAIDs, as part of normal medical practice.
On the other hand no study has shown an added cardiovascular risk for
NSAIDs when used at the low doses and short durations of OTC dosages and
use, or rather several studies have positively shown the absence of
relevant risk (point estimate of risk at or near 1) at the lower end of
the dose-response curve, which is the usual OTC dose of ibuprofen or
diclofenac. Since these also have short half-lives, the exposure to low-
dose drug is short and the risk should be even lower. Maybe that could be
a relevant recommendations: in elderly patients (or for that matter in any
patient), use the lowest effective analgesic dose for the shortest
possible time. But isn't that already part of good medical practices?
Competing interests: Have been working on low-dose NSAIDs and the relevant Companies for the past 20 years. Research contracts with most or all Drug companies, managed by university. Some personal consulting contracts, but not recently in the field.