Renal dysfunction in STEMI-patients undergoing primary angioplasty: higher prevalence but equal prognostic impact in female patients; an observational cohort study from the Belgian STEMI registry
© Gevaert et al.; licensee BioMed Central Ltd. 2013
Received: 4 September 2012
Accepted: 13 March 2013
Published: 18 March 2013
Mortality in female patients with ST-segment elevation myocardial infarction (STEMI) undergoing primary angioplasty (pPCI) is higher than in men. We examined gender differences in the prevalence and prognostic performance of renal dysfunction at admission in this setting.
A multicenter retrospective sub-analysis of the Belgian STEMI-registry identified 1,638 patients (20.6% women, 79.4% men) treated with pPCI in 8 tertiary care hospitals (January 2007-February 2011). The estimated glomerular filtration rate (eGFR) was calculated using the CKD-EPI equation. Main outcome measure was in-hospital mortality.
More women than men suffered from renal dysfunction at admission (42.3% vs. 25.3%, p < 0.001). Mortality in women was doubled as compared to men (9.5 vs. 4.7%, OR (95% CI) = 2.12 (1.36-3.32), p<0.001). In-hospital mortality for men and women with vs. without renal dysfunction was much higher (10.7 and 15.3 vs. 2.3 and 2.4%, p < 0.001). In a multivariable regression analysis, adjusting for age, gender, peripheral artery disease (PAD), coronary artery disease (CAD), hypertension, diabetes and low body weight (<67 kg), female gender was associated with renal dysfunction at admission (OR (95% CI) 1.65 (1.20-2.25), p = 0.002). In a multivariable model including TIMI risk score and renal dysfunction, renal dysfunction was an independent predictor of in-hospital mortality in both men (OR (95% CI) = 2.39 (1.27-4.51), p = 0.007) and women (OR (95% CI) = 4.03 (1.26-12.92), p = 0.02), with a comparable impact for men and women (p for interaction = 0.69).
Female gender was independently associated with renal dysfunction at admission in pPCI treated patients. Renal dysfunction was equally associated with higher in-hospital mortality in both men and women.
KeywordsST-segment elevation myocardial infarction (STEMI) Estimated glomerular filtration rate (eGFR) CKD-EPI Renal dysfunction Gender In-hospital mortality Primary angioplasty
It has been demonstrated that women with STEMI undergoing primary PCI (pPCI) have higher odds for in-hospital mortality than men. Some authors demonstrated that this difference is likely explained by their older age and baseline comorbidities (especially hypertension and diabetes) [1–5], while other authors demonstrated a sustained mortality difference even after adjustment for appropriate confounders [6–8]. Chronic kidney disease, even mild, is associated with increased cardiovascular mortality . More recently it was demonstrated that renal dysfunction is independently associated with in-hospital mortality in STEMI patients treated with pPCI [10–12].
Data on gender differences in prevalence of renal dysfunction at admission in pPCI treated STEMI patients are scarce and have seldom been accounted for when evaluating gender differences in outcome, furthermore different definitions (serum creatinine levels vs. estimated Glomerular Filtration Rate (eGFR) values) and different methods of estimating creatinine clearance have been applied [2, 4, 8, 13].
The GFR cannot be measured easily in clinical practice, instead it is estimated (eGFR) from equations, using variables such as serum creatinine level, age, body weight, race and sex. The most recent equation, the CKD-EPI equation (Chronic Kidney Disease Epidemiology Collaboration), published in 2009, is more precise and accurate than other equations such as the Cockroft-Gault, the MDRD- (Modification of Diet in renal Disease) and the re-expressed MDRD equation, especially at GFRs > 60 mL/min/1.73 m2[14, 15]. The CKD-EPI equation usually yields higher values for eGFR than the MDRD study equation, probably because it was developed in a more diverse study population, including participants with and without CKD. Therefore it is assumed that the CKD-EPI equation leads to smaller average bias in clinical populations with a wide range of GFRs, such as the STEMI population . In a recent analysis of the PLATO trial, including 18,624 patients with an acute coronary syndrome, the CKD-EPI formula exhibited the highest prognostic value and produced a clinical relevant cut-off of 60 mL/min/1.73 m2.
The Thrombolysis In Myocardial Infarction (TIMI) risk score for STEMI is a simple arithmetic score that predicts short-term mortality based on age and clinical data on admission . This score was initially developed and validated in a randomized controlled trial of patients treated with fibrinolysis but proved to be useful in patients treated with primary PCI in an observational registry (c statistic = 0.80 for patients treated with primary PCI in the NRMI III registry (N = 15,348)) .
Accordingly, we evaluated differences in prevalence of renal dysfunction at admission, defined as an eGFR < 60 mL/min/1.73 m2, in men and women presenting with STEMI and treated with pPCI, using the CKD-EPI equation for assessment of eGFR. We assessed the prognostic impact of renal dysfunction at admission, on top of the TIMI risk score, on in-hospital mortality in men and women and finally we evaluated whether there was an interaction between female gender and renal dysfunction regarding in-hospital mortality.
As far as we are aware this is the first study that investigates gender differences in prevalence and prognostic value of renal dysfunction, assessed by the CKD-EPI equation, in a subgroup of currently PCI-treated STEMI patients included in a national STEMI-registry.
The Belgian STEMI registry is a prospective observational registry of Belgian STEMI patients from 72 Belgian hospitals that contains demographics, clinical characteristics at admission, practice patterns and in-hospital outcomes. The registry is an initiative from the Belgian Working Group on Acute Cardiology (BIWAC) and is supported by the Belgian Government of Social Affairs and Public Health and the Belgian College of Cardiologists. Belgium constitutes a catchment area of 11.000.000 persons. All Belgian cardiologists working in hospitals with acute care facilities were required to prospectively collect data on all admitted STEMI patients (symptoms suspicious of acute coronary syndrome, combined with ST-segment elevation or new left bundle branch block on ECG) starting from January 2007.
A yearly audit, conducted by an external commission, of 10% of all patient files was performed to verify the validity of the data; the evaluation of these files demonstrated a 96% concordance rate between source documents and case report forms. Data were electronically collected via a protected eCRF. The database is managed by an independent electronic data-capture provider (Lambda Plus, SA, Gembloux, Belgium).
TIMI risk score
The TIMI risk score was automatically calculated from 8 differentially weighted clinical indicators ascertained upon admission. The TIMI score ranges from 0 to 14 and is calculated as follows: age (2 points: 65–74, 3 points: 75 and older); history of angina, diabetes or hypertension (1 point); admission systolic blood pressure (BP) <100 mmHg (3 points); admission heart rate (HR) >100 beats/min (bpm) (2 points); admission Killip class > I (2 points); admission weight <67 kg (1 point); anterior infarction or left bundle branch block LBBB (1 point); and time to reperfusion therapy > 4 hours (1 point) .
We defined renal dysfunction as an eGFR < 60 mL/min/1.73 m2, corresponding to National Kidney Foundation Kidney Disease Outcomes Quality Initiative (NKF KDOQI) stages 3 to 5 of chronic kidney disease. The eGFR was calculated using the CKD-EPI equation based on the admission value of serum creatinine  as follows:
eGFR = 141 x min (Scr/k, 1)a x max (Scr/k, 1)-1.209 x 0.993age [x 1.018 if female] [x 1.159 if black], where Scr is serum creatinine, k is 0.7 for females and 0.9 for males, a is -0.329 for females and -0.411 for males. The eGFR could not be calculated in 11.9% of the cases, due to missing values. We found no differences in proportions of women or baseline characteristics between patients with and without missing values, except for the incidence of Cardio Pulmonary Resuscitation (CPR) (19.5% vs. 10.1%, p < 0.001) and in-hospital mortality (9.7 vs. 5.1%, p = 0.009).
The primary endpoint existed of in-hospital mortality.
We compared the baseline characteristics, including renal dysfunction at admission, and in-hospital outcomes of women with those of men. Distributions of categorical variables were compared by using the Fisher exact test. Continuous variables were evaluated for normality. The Student's t test was used for continuous variables with a normal distribution (presented as the mean ± SD), and the Mann Whitney-U test was used for continuous variables (presented as the median and interquartile range (IQR)) without a normal distribution. Multivariable logistic-regression analysis was used to determine the independent predictors of renal dysfunction at admission including following covariates in the model: gender, age, bodyweight <67 kg, history of coronary artery disease (CAD), history of peripheral artery disease (PAD), hypertension and diabetes. Separate logistic regression analyses were performed regarding in-hospital mortality for each gender, including TIMI risk score as a continuous and renal dysfunction as a dichotomous variable in the model. Multivariable logistic regression analysis was also used to assess a possible interaction between gender and renal dysfunction regarding in-hospital mortality adding renal dysfunction and gender as dichotomous variables and the product of gender and eGFR < 60 mL/min/1.73 m2 as an interaction term to the previous model. All multivariable analyses were based on complete patient records.
Adjusted Odds Ratios (OR) with 95% confidence intervals (CI) are reported. Statistical significance was defined as p < 0.05 or 95% confidence intervals (CI) for OR that did not include 1.0. All statistical analyses were performed using the SPSS 19 statistical software.
This study was approved by the central ethical committee of the Ghent University Hospital (2011/455). Informed consent was obtained from all patients or their legal representatives.
Baseline patient characteristics (N = 1,638)
Women (N = 338, 20.6%)
Men (N = 1300, 79.4%)
Age, mean (SD), years
Weight < 67 kg
Previous CAD (a)
Previous PAD (b)
Ischemic time > 4 h (c)
Door to balloon > 120 min.
HR (e) > 100 bpm (f)
BP (g) < 100 mmHg
Anterior AMI (h)
Killip > I
TIMI score, median [IQR]
5 [3.0 – 7.3]
3 [2.0 – 5.0]
Creatinine (mg/dl) median [IQR]
eGFR (i) <60 mL/min/1.73 m2
Gender and renal dysfunction
Determinants of admission renal dysfunction and Odds Ratios after multivariable adjustment
Weight < 67 kg
Gender, baseline renal dysfunction and in-hospital mortality
TIMI risk score and additive prognostic performance of baseline renal dysfunction in men and women
In a multivariable regression analysis including gender, TIMI risk score and renal dysfunction, both TIMI risk score (OR = 1.47, 95% CI 1.35-1.60) and renal dysfunction (OR 2.71, 95% CI 1.56-4.69) were strong predictors of in-hospital mortality; there was a trend towards higher mortality in women (OR 1.45, 95% CI 0.8-2.63).
Adding renal dysfunction to the TIMI risk score in men and women separately in a multivariable logistic regression model demonstrated that renal dysfunction was an independent predictor of in-hospital mortality in both men (OR (95% CI) = 2.39 (1.27-4.51), p = 0.007) and women (OR (95% CI) = 4.03 (1.26-12.92), p = 0.02), the interaction test demonstrated that this impact was comparable for men and women (p = 0.69).
In a sub-analysis of the Belgian STEMI registry, including 20,3% of Belgian STEMI patients undergoing pPCI for STEMI, we found that renal dysfunction at the time of hospital admission (eGFR < 60 mL/min per 1.73 m2 or CKD class 3 or higher), assessed by the CKD-EPI formula, was a common finding and that more women (42.3%) than men (25.3%) suffered from this condition. As expected, a CKD class 3 or higher on admission was associated with in-hospital mortality, and this independently of the TIMI risk score. Although there was a trend towards higher mortality for women with renal dysfunction compared to men with this condition, we could not demonstrate a gender difference in the impact of renal dysfunction on in-hospital mortality.
Despite the fact that male STEMI patients had a higher serum creatinine concentration at admission, the prevalence of renal dysfunction defined by an eGFR <60 mL/min per 1.73 m2 and assessed with the CKD-EPI formula was almost doubled in women as compared to men, even after correction for observed differences in age and risk profile between men and women. The higher serum creatinine concentrations in men can easily be explained by the larger muscle mass, resulting in greater creatinine generation, and a higher serum creatinine concentration for a given GFR. This illustrates that serum creatinine values should not be used to evaluate gender differences in the impact of renal function on outcome. It is not completely clear why the incidence of renal dysfunction is higher in women, we cannot exclude that there are unknown confounders that may explain this difference.
Many authors have demonstrated that women with STEMI have a higher risk of in-hospital mortality and some, but not all, could explain this higher mortality based on age and the presence of more comorbidities, especially hypertension and diabetes [1–5]. Lawesson et al. recently demonstrated in a small single center study, including 274 STEMI patients undergoing pPCI, that female gender was a strong and independent predictor of renal dysfunction and that renal dysfunction had a possibly higher impact on 1-year mortality in women (p for interaction = 0.08) . We confirmed that renal dysfunction was more prevalent in pPCI treated women but we did not find a gender-impact on in-hospital mortality. Given the fact that the prevalence of renal dysfunction was independently related to female gender and that there was no difference in mortality between women and men with preserved renal function we speculate that renal dysfunction could be an important reason why women with STEMI die more than men.
The presented data do not reveal why renal dysfunction was associated with worse outcome. There are numerous data that demonstrate that chronic kidney disease serves as an important modifier for outcome. Renal dysfunction may serve as a surrogate marker for general health and for unknown risk factors that may explain the worse outcome. Also renal dysfunction may be associated with complications, of which development of (contrast induced) acute kidney injury (AKI) and bleeding are the most likely to occur . By implementing routine calculation of eGFR, based on the CKD-EPI formula, high risk patients can be identified, and strategies for prevention of contrast induced AKI (bicarbonate administration, optimization of hemodynamic status and discontinuation of nephrotoxic drugs)  and other complications (e.g. bleeding) can be initiated. More over, evidence based therapies such as β-blockers, ACE-inhibitors and statins should not be withheld in this subgroup .
Today it is not clear whether the prognostic performance of the currently most used simple and bedside risk scores could improve by adding eGFR to the model. Kidney function, represented by various cut-offs for serum creatinine but not by eGFR, is already incorporated in the GRACE risk score . Kidney function is not incorporated at all in the TIMI risk score for STEMI and this might be one of the reasons why the GRACE risk score performed better in STEMI patients in a recent meta-analysis of 15 derivation studies and 17 validation studies . Given our finding that serum creatinine underestimates renal dysfunction, especially in women, future risk stratification should preferably use the eGFR based kidney function estimates such as the CKD-EPI equation.
Strenghts and limitations
This study is unique as it represents the first dataset that links gender, renal dysfunction, assessed by the CKD-EPI equation, and outcomes in a subgroup of PCI-treated STEMI patients included in the Belgian STEMI registry. As 71.2% of this Belgian STEMI cohort presented with an eGFR > 60 mL/min/1.73 m2, the use of the CKD-EPI equation was appropriate.
The study has some limitations. First, we only studied patients who underwent pPCI in a subgroup of 8 tertiary care centers that participated in the Belgian STEMI registry; since it has been demonstrated that patients with renal failure have less access to invasive therapy, a selection bias is not excluded . Second, it is uncertain whether renal dysfunction at the time of hospital admission represents a steady state condition of chronic kidney disease or whether there was also a component of AKI. Third, we only collected data on in-hospital mortality rates; hence, it remains unclear whether our results can be extrapolated to long-term outcomes. Finally, it is not clear how missing values could have influenced our results, however we found no differences in proportions of women and baseline characteristics, except for a higher incidence of CPR in the group with missing values. This and the higher in-hospital mortality in this group suggest that these patients were more severely ill and probably also had renal dysfunction at the time of hospital admission, which would have reinforced our findings.
Renal dysfunction, defined as an eGFR < 60 mL/kg per 1.73 m2 was common in a subgroup of patients undergoing primary PCI for STEMI and female gender was independently associated with this condition. Renal dysfunction, independent of the TIMI risk score, was associated with higher in-hospital mortality rates in both men and women. There was no gender difference in the prognostic impact of renal dysfunction regarding in-hospital mortality. Glomerular filtration rates should routinely be assessed at baseline in these patients and these and not serum creatinine values should be accounted for when evaluating gender differences in outcome after STEMI. Whether eGFR, assessed by the CKD-EPI equation, could improve the prognostic performance of currently used bedside risk stratification models remains to be elucidated.
We are indebted to patients and investigators who participated in the study and we thank professor Eric Hoste for his valuable input.
The Belgian STEMI-registry is financially supported by a grant from the Ministry of Social Affairs and Public Health of the Belgian government.
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