(Circulation. 1995;91:1861-1871.)
© 1995 American Heart Association, Inc.
Articles |
From Yale University School of Medicine, New Haven, Conn.
Correspondence to Dr. Harlan Krumholz, Section of Cardiology, Yale University School of Medicine, 333 Cedar St, PO Box 8017, New Haven, CT 06520-8017.
| Abstract |
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Methods and Results Reports were identified mainly through a MEDLINE search of the English-language literature from January 1966 through June 1994. Studies included were those comparing mortality after myocardial infarction between men and women, controlling at least for age and with more than 30 outcome events. After duplicate patient series were eliminated, 27 reports were included in our review. Crude rates were higher in women than in men during the early phase (in-hospital or first month), but control for age alone or in combination with other factors reduced sex differences in almost all studies. Unadjusted mortality rates among the survivors of the early phase were similar for men and women in most studies, and control for age and other factors resulted in an increased survival rate in women compared with men in several investigations, particularly those with a follow-up of >1 year.
Conclusions Much of the increased early mortality after myocardial infarction in women is explained by the older age and more unfavorable risk characteristics of the women. In the long run, when differences in age and other risk factors are controlled for, women tend to have an improved survival compared with men.
Key Words: myocardial infarction sex mortality
| Introduction |
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Can the apparent poorer prognosis of women after myocardial infarction be explained by differences in the clinical epidemiology of coronary heart disease in the two sexes, or does it reflect biological peculiarities of coronary heart disease among women? The clarification of this issue will aid in our understanding of coronary heart disease in women and aid in the development of effective measures to improve their clinical course and outcome.
The purpose of the present review was to determine whether sex differences in survival can be explained by differences in baseline characteristics between men and women. Our hypothesis was that factors related to the epidemiology of coronary heart disease in women, such as women's older age and higher prevalence of comorbidity at the time of the infarction, exert a primary role in the lower survival rates of women and may account for most or all of the observed sex differences in mortality. We expected that studies that adjust for these differences will reduce or eliminate the apparent survival disadvantage of women.
| Methods |
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Articles were included if at least one of the following was reported: mortality rates by sex, a sex-related relative risk of mortality, or a significance test for the comparison of mortality rates between men and women. Because age is a crucial confounder when survival rates after myocardial infarction are compared in men and women, studies that did not include age adjustment were not considered. In addition, we excluded articles that considered only prevalent cases of myocardial infarction; in which the myocardial infarction was self-reported or not defined by contemporary criteria of typical symptoms, serial ECG changes, and enzyme elevations; that included patients described in later publications for a similar study end point; and that included fewer than 30 outcome events. After these studies were eliminated, the final literature review included 27 investigations.
End Point Definition
In most reports the outcomes were
in-hospital mortality and/or
mortality after discharge among hospital survivors. In some studies,
the end points were mortality during the first month since the
infarction17 18 and mortality among survivors of the
first
month.18 19 20 21 22
One study used a cutoff point of 6 weeks to
define early mortality.23 A number of
investigations8 17 18 23 24 25 26 27 28
presented mortality rates
over the entire follow-up period, combining the hospital and the
postdischarge mortality.
In the present review, two main end points were evaluated: early mortality, defined as in-hospital mortality or mortality during the first 4 or 6 weeks, and late mortality, including mortality among hospital survivors or mortality among survivors of the first month. The available data on cumulative mortality, defined as mortality since admission to the hospital to the end of the follow-up, are also examined. For articles that gave information on more than one length of follow-up for the same end point considered in our review (eg, death at 1, 3, and 5 years after discharge), the time point closest to admission was considered.
Data Extraction
From each article, crude and age-adjusted
mortality rates in men
and women, crude and age-adjusted female-to-male relative risks of
death, or both were extracted for each end point. For articles in which
investigators controlled for factors in addition to age, death rates
and/or relative risks adjusted simultaneously for age and other
predictors were also extracted. When rates, relative risks, or
P values were not reported, they were calculated from the
data provided, whenever possible. Similarly, when not done by the
authors and when sufficient data were
provided,5 6 9 17 18 29
summary age-adjusted
Mantel-Haenszel odds ratio and statistic were calculated.
Comparison of Study Results
The original plan was to perform
a meta-analysis of the
study results. However, after the literature was collected and
examined, it was clear that a meta-analysis was not feasible
because of the heterogeneity in the factors considered in the
multivariable analyses across studies, as described in
"Results." Therefore, instead of pooling the study results in a
summary estimate, we compared them taking into account both direction
and magnitude of the relative risks reported, rather than statistical
significance, since some of the studies may have lacked power to find
significant associations. Because a number of studies considered only
age as a control factor, studies were initially compared for
age-adjusted results. Studies that also controlled for other
differences were further compared for results adjusted simultaneously
for age and other covariates.
Because of the later onset of clinical
coronary heart disease in women,
we anticipated that the older age of female patients compared with male
patients is a major explanation of the poorer survival of women.
Therefore, particular attention was devoted to the analytical
strategies used in the different studies to control for age. Age
adjustment was considered adequate if one of the following methods was
used: stratified analysis or logistic regression using age
intervals of
10 years, standardization of the age distribution of men
and women to the age distribution of the entire patient group or to the
age distribution of the population from which the sample originated, or
matching by age of women and men.
In addition to age, other preinfarction characteristics may differ between women and men and may contribute to an explanation of sex differences in outcome. In studies in which factors in addition to age were controlled for, we examined whether differences between men and women in preinfarction factors related to mortality were taken into account in the multivariable analysis. The control for the following factors was considered particularly important since their distribution usually differs in women and men: previous coronary heart disease, history of diabetes mellitus, history of hypertension, history of congestive heart failure, and history of other major comorbidities (eg, cerebrovascular disease, pulmonary disorders, and renal failure).
In comparing study results, we also considered potential
differences in
study populations. The results of investigations based either on
clinical trials or on community studies in which participation rate was
rather low (ie, <80%) were considered potentially less valid than the
results based on one of the following types of study samples:
consecutive hospital admissions, coronary registries covering virtually
all hospitalizations for myocardial infarction in specific populations,
or community samples with a response rate of
80%. These study
designs ensured that the majority of men and women hospitalized for
myocardial infarction in a specific population or hospital were
included in the study and that men and women were equally likely to be
included. Randomized trials usually have stringent eligibility criteria
and require formal patient consent and therefore may be less
representative of the majority of the people hospitalized for
myocardial infarction. In addition, not all eligible patients are
enrolled in clinical trials (usually because of patient or physician
refusal), and the rate of exclusion of eligible patients may differ in
men and women. Similarly, the representativeness of community
samples depends on the participation rate of the target population, and
if the participation rate differs between eligible men and women, sex
comparisons may be biased. Unfortunately, usually no information is
provided on enrollment rates by sex.
| Results |
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Most of the population-based studies were based on registries, including virtually all hospitalized patients with myocardial infarctions in the populations under study.16 17 21 22 24 29 Therefore, no important selection bias is anticipated in these studies. The remaining population studies were based on follow-up studies of community samples.25 27 32 The response rate of these community samples was 82% in one study25 but only 69% in the two reports based on the Framingham Study cohort.27 32 In addition, the Framingham cohort included, together with the community sample, 14% of volunteers who were not part of the original sampling frame. Furthermore, one of these two Framingham reports32 was limited to hospital survivors who attended an examination subsequent to their infarction, which might have occurred as long as 4 years after the infarction.
Several studies excluded older age groups. Four investigations excluded
patients aged
60
years,18 20 21 29 one
excluded those
aged
70 years,22 and four excluded those aged
75
years.8 11 17 23 On the other
hand, one study only
considered persons aged
65 years.25
Women were older than men in all studies that provided data on
mean age by sex (Table 1
) or age distribution by
sex.2 In addition to age, women and men
differed in the distribution of other prognostic factors. Women had a
higher prevalence of history of hypertension,3 congestive
heart
failure,5 8 9 11 12 14 16 23
and
diabetes.5 6 8 11 12 16 23 26 27 28
Women also had a higher
incidence of mechanical complications during hospitalization, such as
congestive heart failure and cardiogenic
shock.10 11 12 16 23 28 31
On the other hand, men more
frequently had a previous myocardial
infarction,9 11 12 14 26 28
cigarette smoking
habit,9 10 11 12 27 28 31
and arrhythmic
complications.10 12
Early Mortality
Table 2
includes the 17
studies that compared
in-hospital or 1-month mortality rates between men and women. Only 4 of
these studies were derived from clinical
trials15 23 28 or
other selected samples18 ; the remaining investigations
were based on either registries16 17 or consecutive
hospital
admissions.5 6 9 10 11 12 13 14 26 30 31
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Unadjusted Results
All of the investigations listed in
Table 2
showed higher
crude (unadjusted) death rates among women, except for one
study,26 which differed from the others in that it was
limited to black patients. The increase in mortality in women relative
to men ranged from <10%30 to
>100%6 15 23
but was >40% in most
studies.6
Results Adjusted for Age
Eleven studies presented age-adjusted or age-stratified data
(Table 2
). One study only reported a nonsignificant P
value.10 Most studies performed age adjustment by logistic
regression or stratification, using age strata of
10 years, with the
exception of four
studies.6 12 26 31 In the
study by
Puletti et al,6 age strata of 15-year intervals were used,
and the study population was subdivided into the following age strata:
40, 41 to 55, 56 to 70, and >70 years. In the report by Greenland et
al,12 all patients
70 years old were grouped together.
In the study by Liao et al,26 patients were classified
into one of three age categories: <55, 55 to 64, and
65 years. In
the study by Jenkins et al,31 patients were classified in
two categories: <65 years or
65 years. With one
exception,18 all of the studies that presented
age-adjusted data were based on consecutive hospital admissions or
coronary registries. Therefore, potential biases deriving from the
selection of the populations probably were not important in these
results.
Control for age reduced sex differences in mortality in all studies. After age adjustment, the sex difference in mortality became <20% and not statistically significant in all investigations that presented age-adjusted relative risks, except two.6 12 On the other hand, Puletti et al6 and Greenland et al12 reported age-adjusted female-to-male relative risks of 1.4 and 1.6, respectively. However, these two studies are among those in which age adjustment might have been incomplete, according to the criteria specified in "Methods." All of the studies in which age adjustment was performed according to our criteria5 9 13 16 17 18 30 showed a decrease in the relative risk to <1.2.
Results Adjusted for Age and Other
Covariates
Only nine studies compared death rates in men and women
after
controlling for factors other than
age,9 11 12 14 15 16 23 28 31
and of these, only six
presented multivariable-adjusted rates or relative
risks.11 12 16 23 28 31
The comparison of the results of
these studies is difficult because the factors that were controlled for
varied across studies. Although all investigations took into account
previous infarctions and history of hypertension, five
studies12 15 16 28 31
did not consider history of
congestive heart failure, and two studies12 14 did
not
control for history of diabetes mellitus. Only three investigations
controlled for a complete set of the following major historical
factors: previous coronary heart disease, history of diabetes, history
of hypertension, and history of congestive heart
failure.9 11 23 None of the studies
controlled for
comorbid diseases other than previous coronary heart disease and
coronary heart disease risk factors. In addition to medical history,
some studies considered severity features on admission. Seven studies
controlled for location of the
infarction,9 11 12 15 16 23 31
five took into account
congestive heart failure on
admission,9 11 12 15 16
and
six considered peak levels of creatinine
kinase.9 11 12 15 16 31
Three studies also adjusted for
complications that might have occurred at any time after hospital
admission through discharge, such as congestive heart
failure12 16 and
shock.12 16 31
Three studies were secondary analyses of randomized trials in which all patients met eligibility criteria and consented to receive thrombolytic therapy.15 23 28 All of the other investigations were based on consecutive hospital admissions9 11 12 14 31 or were population based.16
Of the nine studies that controlled simultaneously for age and other differences between men and women, one did not provide information on the magnitude of the effect of covariable adjustment on sex differences in mortality.15 All of the remaining studies except two12 31 either showed11 16 23 28 or indicated in the text9 14 that adjustment for baseline differences in risk factors lowered the risk of death for women compared to the unadjusted or age-adjusted results. Nonetheless, in all of the six studies that reported relative risks adjusted for age and other covariates,11 12 16 23 28 31 women still had an increased mortality, which was >25% compared with men in four studies11 12 23 31 and statistically significant in one12 and possibly a second23 study that used 99% confidence intervals. Two of these studies adjusted for the important historical conditions, including previous coronary heart disease, congestive heart failure, hypertension, and diabetes.11 23 Also, these two studies reported a relative risk of >1. It should be noted, however, that the results of some of these studies may be limited by the selected characteristics of the study population,23 28 as well as by inadequate age12 31 and covariable adjustment,12 28 31 as described above.
Late Mortality
The 12 studies in which investigators compared
mortality rates
between men and women among survivors of the hospitalization or of the
first month are listed in Table 3
. All of these studies
were either community studies or based on consecutive hospital
admissions, with two exceptions.15 18 All of the
community
reports were likely to be representative of the populations
studied, except the study by Wong et al,32 which included
a selected sample of hospital survivors, as previously noted.
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Unadjusted Results
Of the 12 studies, 4 reported higher
unadjusted death rates in
women than in men,12 15 19 30
and 1 showed significantly
higher death rates among men.21 All of the remaining 7
studies observed either similar crude mortality rates in men and women
or a trend for lower mortality in women.
Results Adjusted
for Age
Age adjustment was performed according to the criteria we
specified in "Methods," with the exception of the study by
Greenland et al,12 in which all people aged
70 years
were included in a single age stratum. As for early mortality, control
for age resulted in a decrease of the female-to-male relative risk of
death. Only Greenland et al12 reported a significantly
higher late mortality in women after age adjustment, and this
discrepant finding may be due to incomplete age adjustment. All of the
other studies that presented age-adjusted data reported either
similar mortality in men and
women16 29 30 or a trend
toward a lower mortality in
women.18 21 32
Results
Adjusted for Age and Other Covariates
Eight studies presented relative
risks or P values
adjusted for a number of predictors in addition to age. The predictors
included in the multivariable analysis varied considerably across
studies, ranging from just traditional coronary heart disease risk
factors and diabetes32 to clinical data collected on
admission11 15 19 22 or
clinical admission data and
hospital
complications.12 16 20 22
Only half of these
studies considered all major variables such as history of coronary
heart disease, history of diabetes, history of hypertension, and
history of congestive heart failure or heart failure during
hospitalization.11 15 16 22
None of the studies took into
account presence of noncardiac comorbidity, with the exception of the
study by Martin et al,22 which considered history of
stroke.
Of these eight studies, six reported adjusted relative risks.11 12 16 20 22 32 The study by Greenland et al12 is the only one showing a higher mortality in female hospital survivors after multivariable adjustment for age and other differences in comorbidity and risk factors. The remaining five studies showed either an increased survival in women11 16 22 32 or similar death rates in men and women.20 All of the investigations that controlled simultaneously for all major historical factors, ie, history of coronary heart disease, of hypertension, or of diabetes and congestive heart failure before the infarction or during hospitalization, found a significantly increased survival in women.11 16 22
Because follow-up
varied considerably among the studies that evaluated
late survival (between 6 months and 15 years), we compared the study
results taking into account the length of follow-up. Since
infarction-related mortality occurs mostly in the first year after the
myocardial infarction,21 33 we were interested in
examining whether the relation between sex and mortality after
discharge varies when follow-ups of >1 year are used rather than
follow-ups of
1 year. Of the seven studies with a follow-up of >1
year in which adjusted relative risks were
reported,11 16 18 20 21 22 32
six studies found a
female-to-male relative risk, adjusted for age alone or in combination
with other factors, of
<1,11 16 18 21 22 32
which was
significant in five
studies,11 16 21 22 32
indicating an
improved survival rate for women. Conversely, of the three studies that
followed patients up to 1 year and in which relative risks were
reported,12 29 30 none found a better
outcome for
women.
Cumulative Mortality Since Hospital Admission
Nine studies
that reported sex differences in cumulative mortality
from hospital admission to the end of follow-up are listed in Table
4
. These studies differ greatly in the selection of the
study population, being based on randomized
trials8 23 28
or other selected samples,18 based on community
samples,25 27 composed of consecutively admitted
patients,26 or derived from coronary
registries.17 24 Only four of these studies presented
age-adjusted data.17 18 24 27
Three of them found very
similar mortality rates in women and men after age was controlled
for.17 18 24
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Six studies reported results adjusted for age and other factors.8 23 25 26 27 28 Although most of them adjusted for a number of historical characteristics, such as history of previous coronary heart disease, diabetes, and hypertension, only two studies took into account history of congestive heart failure8 or heart failure on admission.25 The results of these studies appear inconsistent. Three studies indicate an increased mortality rate for women,8 23 27 two suggest a lower mortality rate in women,25 26 and one reports a similar outcome in men and women.28 Heterogeneity of the study populations as well as incomplete control for baseline differences may be responsible for these discrepant findings.
| Discussion |
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Early Mortality
A major explanatory factor for the increased
short-term mortality
rate after myocardial infarction for women is the older age of the
women compared with the men. Age adjustment alone was able to reduce
sex differences in early mortality to <20% in 9 of 11 studies that
presented age-adjusted relative risks and in eight studies that
controlled adequately for age.
In addition to a more advanced age, however, women hospitalized for myocardial infarction may have a higher prevalence of other unfavorable premorbid conditions that could influence the severity of the infarction and/or the outcome after the infarction. Virtually all studies that reported baseline characteristics by sex indicated that women more often have a history of congestive heart failure, diabetes, and hypertension. Although the reasons for these differences need to be investigated, these differences, if accounted for, might decrease the risk of dying of women compared with men even further. However, only approximately half of the studies controlled for baseline differences in medical history. Of these, only three adjusted simultaneously for major factors such as history of coronary heart disease, diabetes, hypertension, and congestive heart failure.9 11 23 Two additional studies considered congestive heart failure on admission, rather than history of heart failure, in addition to historical factors.15 16 The inclusion of these control factors in the analysis resulted in a decrease of the sex differences in survival after infarction. However, in all of the six studies that presented covariable-adjusted relative risks, these relative risks were still >1 after multivariable adjustment. In three of these studies, the increased mortality in women was statistically significant or almost significant.12 23 31 Therefore, even though baseline differences in age and other characteristics explain a good portion of the increased early mortality in women, women may be still at a higher risk of death than men.
It is difficult, however, to draw firm conclusions on the role of sex on short-term mortality from the current literature for two main reasons. First, studies that included an extensive multivariable analysis may represent a selected group in which sex differences were more pronounced. Only few studies adjusted for differences other than age, and even fewer presented adjusted risk estimates. In general, investigators who found negligible sex differences in mortality after controlling just for age did not proceed to adjust for additional variables.10 13 18 26 30 For the same reason, other studies omitted to report relative risks adjusted for age and other covariates, even though a multivariable analysis including age and other factors was performed.9 14 Therefore, the studies more likely to report relative risks adjusted for baseline characteristics in addition to age were probably those in which the sex differences in mortality were most marked.
The composition and selection characteristics of the study sample of some of these studies may contribute to their finding of a higher mortality in women. For example, the study by Becker et al23 was a randomized trial in which all patients enrolled were treated with a specific type of thrombolytic therapy, ie, recombinant tissue-type plasminogen activator (rTPA). In this study, women were still 50% more likely to die at 6 weeks and 40% more likely to die at 1 year than were men after multivariable adjustment. Two other thrombolytic therapy trials, in which patients were treated with both rTPA and streptokinase, did not find marked differences in mortality between men and women.15 28 The reason for the increased mortality in women in the study by Becker et al23 compared with the other thrombolytic therapy trials15 28 may lie in the fact that more women than men suffer stroke and bleeding complications after rTPA but not after streptokinase.28 It should also be noted that the study samples of thrombolytic therapy trials are likely to differ from those of other studies that did not select patients according to feasibility of thrombolytic therapy. Fewer women than men are likely to be eligible for thrombolytic therapy, since women are older, have more comorbidity, and delay more before seeking medical care for severe chest pain than men.11 34 35 36 Although the age and comorbidity eligibility criteria may mitigate sex differences in outcome, it is unknown how the exclusion of delayed patients might influence the study results. In addition, even among eligible patients, women are less likely to receive thrombolytic therapy than men.37 The effect of this selection bias on the study results also is unknown.
Another study that suggested a poorer outcome in women than in men after multivariable analysis and in which selection bias may be an issue is the MILIS trial.8 Subgroup analyses led the authors to conclude that the poorer prognosis of women in this study was due mostly to the higher mortality of black women (which constituted almost one third of the female sample) compared with black and white men, as well as white women. In contrast, there was little difference in mortality between white men and white women.8 A recent investigation, however, did not confirm the adverse prognosis of black women, with respect to mortality in black men.26 In this study, after a similar length of follow-up, black women were found to have an improved survival compared with black men.26 The study by Tofler et al8 was based on a clinical trial in which as many as 45% of the eligible patients were not enrolled, mostly because of patient or physician refusal.38 The rate of enrollment by sex and race was not reported. Thus, a selection bias, perhaps leading to the enrollment of more severely affected women, particularly black women, compared with men cannot be excluded.
The second reason why the current literature
does not give a definite
answer to the question whether early mortality is increased in women
after correction for baseline differences is the incomplete control for
age and/or other important preinfarction conditions in many studies.
Incomplete age adjustment may have contributed to spuriously high
multivariable-adjusted relative risks in two
studies.12 31
Greenland et al12 classified all patients
70 years into
a single age stratum. These patients accounted for 48% of the women
and 29% of the men in the study. Because mortality after myocardial
infarction increases exponentially with age in these age brackets as in
the other age groups,15 almost half of the female sample
may not have received adequate age adjustment in this study. Jenkins et
al31 used a dichotomous cutoff of age (<65 and
65),
which may not have appropriately accounted for the different age
distribution of men and women.
Several investigations did not take into account important comorbid conditions. History of congestive heart failure was not adjusted for in five studies,12 15 16 28 31 although some of these authors controlled for heart failure on admission.12 15 16 Because women hospitalized for myocardial infarction more often have a history of congestive heart failure than men,5 8 9 11 12 14 16 23 premorbid left ventricular dysfunction may contribute to the higher death rates of women. Congestive heart failure on admission should be considered more appropriately an indicator of severity of the infarction rather than a potential confounder that needs adjustment. Other investigators did not control for history of diabetes.12 14 Also, diabetes is more common in women5 6 8 11 12 16 23 26 27 28 and is a stronger prognostic factor after myocardial infarction in women,12 39 40 possibly because of a more adverse effect of diabetes on triglyceride and lipoprotein cholesterol concentrations in women.41 In the study by Greenland et al,12 history of diabetes was more common among women as well as a strong predictor of mortality in women. When diabetics were excluded from the analysis, sex was marginally associated with hospital mortality and no longer predicted postdischarge mortality. Therefore, the inclusion of diabetes among the control factors may have lowered the women's likelihood of dying compared with men in this study. Noncardiac comorbidities, such as cerebrovascular disease, renal failure, and pulmonary disorders, are also likely to be more prevalent in women, given their older age, but age adjustment may not totally account for their effects. The presence of noncardiac comorbid diseases may increase the frailty of female patients with myocardial infarction compared with men and thus limit their ability to overcome the acute phase of the infarction. However, almost none of the studies in the literature have taken into account comorbidities other than previous coronary heart disease, diabetes, and hypertension.
Late Mortality
After hospital discharge or after the first
month, only in about
half of the studies was the relative risk >1, ie, the crude death
rates were higher in
women.11 12 15 19 29 30
After age
alone or in combination with other covariables was controlled for, only
two studies showed an increased mortality in
women,12 30
which was significant in one of them.12 The other studies
found either similar death rates in women and
men15 19 20 29 or lower
mortality rates in
women.11 16 18 21 22 32
The improved survival was observed
particularly when the length of follow-up was >1 year after discharge
from the hospital or the first month. Of the seven studies with a
follow-up of >1 year that reported relative risks, only one showed an
adjusted relative risk that was slightly >1.20 In all of
the other six
investigations,11 16 18 21 22 32
women had
lower adjusted death rates than men, which were statistically
significant in five
studies.11 16 21 22 32
The lower long-term mortality in women does not appear to be due to their higher short-term case fatality rate, which may result in a cohort of female survivors at a lower risk of death than their male counterparts.42 Only a few studies showed adjusted sex differences in short-term mortality that might have been great enough to be responsible for such a bias.11 12 23 31 It is more likely that the improved long-term survival of women reflects the well-established survival advantage of women in the general population.3 In fact, the impact of the infarction on survival occurs mostly during the first year after infarction.21 33 In the first year after the acute phase, women have either similar20 29 or slightly increased12 30 mortality rates compared with men. However after the first year, when the effects of the infarction are no longer present, women show an improved survival compared with men,11 16 18 21 22 32 as they do in the general population.
In summary, after the first year, when the initial impact of the myocardial infarction has been overcome, women show a survival advantage compared with men in multivariable analysis. However, in the acute phase, and possibly also in the first year afterward, women have a higher unadjusted mortality that is reduced by adjusting for baseline differences, although not totally eliminated. This higher mortality in women may be due to baseline differences between men and women that have not been adjusted for in the literature. Unaccounted sex differences in comorbidity, as well as incomplete control for age, are likely to play a major role in these findings, as discussed above. However, a number of other features may explain this observation.
One of these may be a lower likelihood of women to undergo invasive treatment compared with men. If women are treated less aggressively after myocardial infarction and if invasive treatment improves prognosis, then women may be disadvantaged compared with men. A number of studies have indicated that women are less likely to undergo invasive procedures for coronary heart disease.43 44 However, most of this difference in patient care has been ascribed to the lower probability of severe coronary artery disease in women with coronary symptoms compared with men.45 After myocardial infarction, a condition known to have a prevalence of coronary atherosclerosis approaching 100%, results have been conflicting.13 14 43 46 47 In addition, the impact of invasive treatment after myocardial infarction on prognosis has not been extensively addressed. Therefore, additional research is warranted to investigate further sex differences in the use of coronary procedures after myocardial infarction, as well as the impact of such differences on outcome.
Another aspect requiring consideration is the well-established delay in seeking medical care of women with coronary symptoms.11 23 31 34 35 36 This delay may also contribute to increase the risk of early mortality of women. The reasons for this increased delay of women compared with men are unclear. This finding is unlikely to be due to sex differences in use of health care services because women use health services for cardiovascular conditions as well as for all causes more than men.48 Among patients receiving thrombolytic therapy, delay in reaching the hospital was found to be associated with mortality.49 However, the prognostic role of delay among other patient groups with myocardial infarction needs to be established. Nevertheless, late hospital arrival may play a role in explaining sex differences in mortality. A related issue is the higher prevalence of unrecognized and silent myocardial infarctions among women.50 Although the reasons for this finding are also unknown, it is possible that in addition to delaying their hospital arrival, women underestimate their cardiac symptoms to the point of not seeking any medical care. Because unrecognized infarctions carry prognostic risk,50 they may also contribute to sex differences in outcome after myocardial infarction.
Finally, a number of psychosocial factors, such as social isolation,51 52 53 emotional support,25 socioeconomic resources,54 55 and depression,56 57 have been found to be related to prognosis after myocardial infarction but have not been taken into account in explaining sex differences in outcome after myocardial infarction. Because female patients with myocardial infarction have a more unfavorable psychosocial risk profile,53 57 these features may also play a role in explaining sex differences in mortality.
More research is needed to determine whether the slight increase in early mortality in women found in the current literature is explained by unaccounted baseline differences in comorbidity and psychosocial factors, as well as differences in treatment. Alternatively, this increased mortality in women may be due to peculiar characteristics of the infarction in women that place women at a higher risk of complications and death. For example, it is well established that women experience a number of complications after myocardial infarction more often than men, such as congestive heart failure,10 11 12 30 cardiogenic shock,10 11 12 28 30 infarct extension,58 and cardiac rupture.59 Nevertheless, some commonly used indexes of infarct severity and left ventricular systolic function, such as peak creatine kinase,8 10 11 location of the infarction,6 8 9 10 11 12 and left ventricular ejection fraction,8 9 suggest a less extensive infarction and a greater preservation of left ventricular systolic function in women. The increased occurrence of congestive heart failure in women might result from impairment of left ventricular diastolic function, possibly related to the greater prevalence of diabetes and hypertension in women.8 60 A few reports based on small samples indicate that women may be more likely than men to develop congestive heart failure due to isolated diastolic dysfunction.61 62 However, little is known about the prevalence and the predictors of diastolic dysfunction in women.
A major limitation of the present analysis is the heterogeneity of the investigations reviewed, which makes comparisons of study results difficult. Some studies were based on consecutive hospital admissions, others were population based, and others were secondary analyses of randomized clinical trials. Studies also differed in sample size, and many of them may have lacked sufficient power to detect significant associations of sex with mortality. Although a meta-analysis might have solved this problem, a meta-analysis was not feasible because studies also differed greatly in the numbers and types of characteristics considered in the multivariable analysis. We therefore performed a more qualitative type of comparison of the study results in which we considered the direction and the magnitude of the relative risks reported rather than the statistical significance. Differences in study populations and in covariables included in the multivariable analyses were also taken into account using a qualitative-type approach.
Another limitation of the present study was that the analysis was limited to published literature. Therefore, the results of this review may be affected by publication bias, ie, studies that found sex differences in survival may have been more likely to be reported in literature. However, this limitation applies to any review or meta-analysis. If publication bias is present, sex differences in mortality after myocardial infarction may be less important than reported by the current literature.
Despite these limitations, this review provides important information for understanding the role of sex on prognosis after myocardial infarction. There is a common clinical perception that myocardial infarction is associated with a worse prognosis in women. However, the available data indicate that women fare worse than men only in the short term, and most of this higher initial mortality corresponds to the higher mortality of older patients with more comorbidity. After the early postinfarction period (hospitalization or first 4 to 6 weeks after infarction), sex differences in mortality are less evident. After the first year, women even show an improved survival compared with men.
This review also indicates that more research needs to be done before firm conclusions can be drawn on sex differences in outcome after myocardial infarction. Many of the available studies do not provide definite information because of incomplete adjustment for sex differences in preinfarction conditions. In addition, differences in treatment and psychosocial factors were rarely considered. Finally, the potential existence of unfavorable characteristics of the infarction or of the cardiac function that might be specific for women is largely unexplored. However, the available literature indicates that even if an increased mortality in women does exist, this increased mortality is limited to the first few weeks, possibly up to the first year, after the infarction. Furthermore, this difference in mortality is small once differences in age and other baseline characteristics are taken into account.
| Acknowledgments |
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| Footnotes |
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2 References 5, 13, 15, 17-19, 21, 22, 24, 29. ![]()
3 References 5, 6, 8-12, 14, 16, 23, 26-28, 31. ![]()
4 References 5, 6, 9, 11-14, 16-18, 23, 26, 28, 30, 31. ![]()
5 References 5, 9, 13, 14, 16-18, 26, 28, 30. ![]()
6 References 5, 6, 9-12, 14-16, 23, 26, 28, 31. ![]()
Received October 12, 1994; accepted November 8, 1994.
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