Literature DB >> 28862963

Delayed Care and Mortality Among Women and Men With Myocardial Infarction.

Raffaele Bugiardini1, Beatrice Ricci2, Edina Cenko2, Zorana Vasiljevic3, Sasko Kedev4, Goran Davidovic5,6, Marija Zdravkovic7, Davor Miličić8, Mirza Dilic9, Olivia Manfrini2, Akos Koller10,11, Lina Badimon12.   

Abstract

BACKGROUND: Women with ST-segment-elevation myocardial infarction (STEMI) have higher mortality rates than men. We investigated whether sex-related differences in timely access to care among STEMI patients may be a factor associated with excess risk of early mortality in women. METHODS AND
RESULTS: We identified 6022 STEMI patients who had information on time of symptom onset to time of hospital presentation at 41 hospitals participating in the ISACS-TC (International Survey of Acute Coronary Syndromes in Transitional Countries) registry (NCT01218776) from October 2010 through April 2016. Patients were stratified into time-delay cohorts. We estimated the 30-day risk of all-cause mortality in each cohort. Despite similar delays in seeking care, the overall time from symptom onset to hospital presentation was longer for women than men (median: 270 minutes [range: 130-776] versus 240 minutes [range: 120-600]). After adjustment for baseline variables, female sex was independently associated with greater risk of 30-day mortality (odds ratio: 1.58; 95% confidence interval, 1.27-1.97). Sex differences in mortality following STEMI were no longer observed for patients having delays from symptom onset to hospital presentation of ≤1 hour (odds ratio: 0.77; 95% confidence interval, 0.29-2.02).
CONCLUSIONS: Sex difference in mortality following STEMI persists and appears to be driven by prehospital delays in hospital presentation. Women appear to be more vulnerable to prolonged untreated ischemia. CLINICAL TRIAL REGISTRATION: URL: https://www.clinicaltrials.gov/. Unique identifier: NCT01218776.
© 2017 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley.

Entities:  

Keywords:  acute coronary syndrome; mortality; prehospital delay; women

Mesh:

Year:  2017        PMID: 28862963      PMCID: PMC5586439          DOI: 10.1161/JAHA.117.005968

Source DB:  PubMed          Journal:  J Am Heart Assoc        ISSN: 2047-9980            Impact factor:   5.501


Clinical Perspective

What Is New?

Our analyses indicate that sex differences in outcomes persist among patients with ST‐segment–elevation myocardial infarction and appear to be driven by prehospital delays in hospital presentation; however, higher 30‐day mortality of women compared with men after ST‐segment‐elevation myocardial infarction was confined to times from symptom onset to presentation >1 hour. Consequently, women appear to be more vulnerable to prolonged untreated ischemia.

What Are the Clinical Implications?

Reducing the time lag between onset of ischemic symptoms and hospital presentation to ≤1 hour is of the utmost importance, especially for women.

Introduction

Controversies abound when examining sex differences in mortality following acute ST‐segment–elevation myocardial infarction (STEMI).1, 2 Some studies point to a disadvantage for women in the setting of STEMI.3, 4 Others show similar outcome profiles for women and men.5 Most of these studies, however, focused only on clinical covariates, which should be viewed cautiously, remembering that therapeutic interventions have a large impact on outcomes.6 Indeed, when rates of coronary revascularization and delays in revascularization differ between men and women, the value of sex as a prognostic factor may be under‐ or overestimated by analyses that include patients with such marked differences in treatment. Careful adjustment for differing use of reperfusion therapies and time to treatment is important because women are less likely to receive timely in‐hospital reperfusion therapy. The timeliness of reperfusion therapy in STEMI depends largely on patients’ health awareness, ability to recognize the early signs or symptoms, and access to health services and on hospital quality performance, specifically door‐to‐balloon and door‐to needle times. Several studies have focused on the associations between door‐to‐balloon and door‐to needle delays and outcomes.7, 8 Fewer studies have investigated the associations between overall treatment delay and mortality.9 No studies have evaluated the effect of treatment delays on sex differences in early cardiac mortality. This study investigated whether sex‐based differences in access to care for patients with STEMI were associated with differences in outcomes.

Methods

Setting and Design

ISACS‐TC (International Survey of Acute Coronary Syndromes in Transitional Countries; ClinicalTrials.gov identified NCT01218776.) is a large observational registry initiated in 2010. The protocol was described previously.10, 11, 12, 13, 14 Briefly, ISACS‐TC is an investigator‐driven initiative designed to include information on risk factors, clinical presentation, and complications of acute coronary syndromes. The registry accurately records times to medications and interventions. ISACS‐TC mainly includes hospitals in countries with an economy in transition. The aim of ISACS‐TC is to provide a large multinational registry of the full spectrum of patients with acute coronary syndromes to develop and evaluate survey measures that elicit improved outcomes in countries embarked on reforming their healthcare systems. Patients were enrolled from 41 geographically diverse sites. Of these hospitals, 22 were tertiary healthcare services providing advanced medical investigation and treatment including percutaneous coronary intervention (PCI) and/or cardiac surgery, and 19 were secondary healthcare services providing intensive care in critical coronary care units (Data S1). The study was approved by the local research ethics committee from each hospital. Because patient information is collected anonymously, institutional review boards waived the need for individual informed consent. The data coordinating center was established at the University of Bologna.

Patients and Procedures

The study population consisted of 8997 eligible patients with STEMI or new, or presumed new, bundle‐branch block myocardial infarction enrolled between October 2010 to April 2016. Eligibility was defined by diagnostic changes on the initial 12‐lead ECG, presentation, and no contraindications to reperfusion therapy.15 Patients were defined as having a contraindication to reperfusion therapy if they presented to the enrolling sites within the first 12 hours of symptom onset but were not offered primary PCI or fibrinolysis (Table S1). Patients who had facilitated and rescue PCI or coronary artery bypass grafting were excluded from the analysis. Patients with unknown time of symptom onset were also excluded. Overall, 2975 of 8997 patients were excluded. The fact that 1801 of 8997 patients (20%) were excluded because of unknown time of symptom onset is consistent with findings from previous investigations16 (Table S2). The final analysis population had 6022 participants (Figure).
Figure 1

Flow diagram of patients entered into the study. CABG indicates coronary artery bypass grafting; ISACS‐TC, International Survey of Acute Coronary Syndromes in Transitional Countries; PCI, percutaneous coronary intervention; STEMI, ST‐segment–elevation myocardial infarction.

Flow diagram of patients entered into the study. CABG indicates coronary artery bypass grafting; ISACS‐TC, International Survey of Acute Coronary Syndromes in Transitional Countries; PCI, percutaneous coronary intervention; STEMI, ST‐segment–elevation myocardial infarction.

Data Collection and Definitions

The enrolled hospitals periodically uploaded their data to the central server of the ISACS‐TC. Registry data were collected by the designated physician at the time of clinical assessment. Killip classification at admission was determined by the attending physician in the emergency department.17 Patients were asked about the quality of their symptoms. Typical chest pain was defined as any symptom of chest discomfort characterized by a sensation or pressure or tightness under the sternum or chest bone, with pain that may radiate to jaw, arms, or neck. The variable of atypical chest pain included both patients with atypical symptoms and those who were asymptomatic. Chest pain was considered to be atypical when its distribution was unusual, such as pressure or pain in the lower chest or upper abdomen or pain or discomfort in one or both arms, the back, or the stomach. Patients with angina “equivalents,” such as dyspnea, and fatigue, were defined as asymptomatic.

Treatment Delays

The estimates of various delays in the initiation of reperfusion therapy were based on prehospital data registered by the local hospital provider. Data were then registered in the ISACS‐TC registry. Different delays were classified into 5 categories, and each was given an operational definition. Time to presentation (category 1) was the time lag from symptom onset to in‐hospital diagnosis. In the ISACS‐TC registry, any patient with symptoms suggestive of myocardial infarction should have a 12‐lead ECG taken as soon as possible on arrival at the emergency department. Time to first medical contact (category 2) was the time lag from symptom onset to the call seeking care, which included calls to emergency medical services (EMS) or a general physician's office. Calls for EMS were registered at the dispatch center. Data on calls for a general physician's office were based on physician self‐reports of scheduled calls and visit times. These estimates were documented when the registry data were collected. Time from first medical contact to hospital presentation (category 3) was the time lag from call for help contacting EMS or a general physician's office to arrival at the emergency department. If patients were admitted to a secondary hospital and then transferred to a tertiary PCI‐capable hospital, time from first medical contact to hospital presentation included departure from the secondary hospital and arrival at the PCI center. Self‐presenters who reached the hospital just by walking or using public transportation or personally operated vehicles were included in the analysis provided that they had previously contacted their general physician. Door‐to needle (category 4) was the time lag from arrival at the local emergency department to the beginning of fibrinolytic therapy. Door‐to‐balloon (category 5) was the time lag from arrival at the emergency department of the PCI center to first balloon inflation during primary PCI.

End Points and Measurements

The primary outcome was the incidence of 30‐day all‐cause mortality. The analysis evaluated patient outcomes from hospital admission through the end of the follow‐up period. The use of medications given at hospital admission was noted, as well as the use of primary PCI or fibrinolysis. Information on treatment delays was obtained from review of the medical records. The rationale for using limit cutoffs of 12, 4, 2, and 1 hour for time to presentation was based on international guidelines,18, 19 targets set by the UK National Service Framework,20 and previous data regarding infarct development in men.21, 22, 23, 24 We also studied the likelihood of having cardiogenic shock (Killip class IV) diagnosed at presentation.

Statistical Analysis

Statistical testing of patient characteristics by sex was performed with the use of the χ2 test for categorical variables and the Wilcoxon rank sum test for continuous and ordinal variables. Descriptive statistics using medians with 25th and 75th percentiles for continuous variables and percentages for discrete variable were generated for baseline characteristics by these groups. Statistical evaluation was performed using STATA 11 (StataCorp). All P values were 2‐sided and were considered statistically significant if ≤0.05.

Clinical end point of 30‐day all‐cause mortality

The clinical end point of 30‐day all‐cause mortality was compared between the overall population of men and women with STEMI using estimates of the odd ratios (OR) and associated 95% confidence intervals (CIs). Patients were also stratified into time‐delay cohorts for time to presentation: ≤1, >1 to ≤2, >2 to ≤4, >4 to ≤12, and >12 hours. Fixed covariates included in the analyses were sex, age, cardiovascular risk factors (history of hypercholesterolemia, history of diabetes mellitus, history of hypertension, family history of coronary artery disease, smoking status), clinical history of ischemic heart disease (prior angina, prior myocardial infarction [MI], prior PCI, and prior coronary artery bypass grafting), clinical history of cardiovascular disorders (prior heart failure and prior stroke), history of chronic kidney disease, and clinical presentation (systolic blood pressure, heart rate, and atypical chest pain). Medications and procedures at hospital admission were included in the analyses as categorical variables. Statistical adjustments were made for primary PCI, fibrinolysis, aspirin, clopidogrel, unfractioned heparin, beta blockers, and angiotensin‐converting enzyme inhibitors.

Prehospital delays and cardiogenic shock at hospital admission

The covariate‐adjusted association between prehospital delays and cardiogenic shock was assessed by multivariate logistic regression considering all preadmission clinical variables, specifically sex, age, cardiovascular risk factors, clinical history of ischemic heart disease, cardiovascular disorders, and chronic kidney disease.

Missing values and mortality

We had complete data on age, sex, and 30‐day mortality. Some patients had missing data on other variables. We multiply imputed the missing values of the variables with a missing rate <10% using STATA software. For the features with a missing rate >10%, we carried out a Pearson χ2 statistical test for independence between those features and mortality. Only the variables of hypercholesterolemia and atypical chest pain had missing rates >10% and were found to be statistically dependent on the end point mortality. Consequently, we did not dismiss these variables from the predictive model of mortality, and we kept them as missing.25

Results

From October 2010 through April 2016, a total of 8997 STEMI patients at 41 sites in 12 countries were enrolled in the ISACS‐TC registry. Of these 8997 patients, 6022 were included in the current analysis. Figure shows the flow diagram of patients entered into the study. There were 1372 (22.8%) patients who sought medical attention 12 hours after symptom onset and did not receive any reperfusion therapy (primary PCI or fibrinolysis) Table S3).

Sample Characteristics

Baseline characteristics of the patients are shown in Table 1. The cohort was predominantly male. Women were older and more often had diabetes mellitus and hypertension but were less likely to have a history of prior myocardial infarction or to be smokers. They were given less antithrombotic medication and fibrinolysis (12.8% versus 14.8% Table 1).
Table 1

Baseline Characteristics of the Participants

CharacteristicsOverall Study Population (N=6022)Men (n=4302)Women (n=1720) P Valuea
Age (y), mean±SD60.9±11.759.3±11.564.8±11.4<0.001
Cardiovascular risk factors
Hypercholesterolemia, n/total, %2041/5262 (38.8)1458/3771 (38.7)583/1491 (39.1)0.76
Diabetes mellitus, n, %1328 (22.1)827 (19.2)501 (29.1)<0.001
Hypertension, n, %3738 (62.1)2509 (58.3)1229 (71.4)<0.001
Current smoker, n, %2530 (42.0)2003 (46.6)527 (30.6)<0.001
Family history of CAD, n, %1843 (30.6)1276 (29.7)567 (32.9)0.007
Clinical history of ischemic heart disease
Prior angina pectoris, n, %713 (11.8)474 (11.1)239 (13.9)0.002
Prior myocardial infarction, n, %736 (12.2)558 (12.9)178 (10.3)0.005
Prior PCI, n, %833 (13.8)599 (13.9)234 (13.6)0.75
Prior CABG, n, %57 (0.9)44 (1.0)13 (0.8)0.33
Clinical history of cardiovascular disorders
Prior heart failure, n, %186 (3.1)125 (2.9)61 (3.5)0.19
Prior stroke, n, %254 (4.2)161 (3.7)93 (5.4)0.004
Clinical presentation
Atypical chest pain, n/total, %220/4623 (4.8)144/3281 (4.4)76/1342 (5.7)0.065
Systolic BP at baseline (mm Hg), mean±SD139.9±24.7140.1±24.2139.6±26.30.49
Heart rate at baseline (bpm), mean±SD80.4±22.880.2±22.181.2±24.30.13
Chronic kidney disease, n, %266 (4.2)177 (4.1)89 (5.2)0.16
In‐hospital acute medications
Aspirin, n, %5911 (98.2)4238 (98.5)1673 (97.3)0.004
Clopidogrel, n, %5563 (92.4)4000 (92.9)1563 (90.9)0.01
Unfractioned heparin, n, %3766 (62.5)2774 (64.5)992 (57.7)<0.001
LMWH, n, %1687 (28.0)1214 (28.2)473 (27.5)0.24
Fondaparinux, n, %170 (2.8)121 (2.8)49 (2.8)0.25
Beta blockers, n, %1317 (21.9)987 (22.9)330 (19.2)0.006
ACEIs, n, %1426 (23.7)1068 (24.8)358 (20.8)0.004
Reperfusion therapy
Primary PCI, n, %4222 (70.1)3067 (71.3)1155 (67.1)0.002
Fibrinolysis, n, %860 (14.3)639 (14.8)221 (12.8)0.04
Outcomes
30‐Day all‐cause mortality, n, %413 (6.9)228 (5.3)185 (10.8)<0.001

ACEI indicates angiotensin‐converting enzyme inhibitor; BP, blood pressure; CABG, coronary artery bypass grafting; CAD, coronary artery disease; LMWH, low‐molecular‐weight heparins; PCI, percutaneous coronary intervention.

P value derived from comparison between men and women.

Baseline Characteristics of the Participants ACEI indicates angiotensin‐converting enzyme inhibitor; BP, blood pressure; CABG, coronary artery bypass grafting; CAD, coronary artery disease; LMWH, low‐molecular‐weight heparins; PCI, percutaneous coronary intervention. P value derived from comparison between men and women.

Delays to Hospital Presentation

Despite similar delays in seeking care, women were more likely to experience longer prehospital delays than men (Table 2). The median duration of time from symptom onset to in‐hospital diagnosis in women was 270 minutes and in men was 240 minutes. Delay in hospital presentation was mainly related to the time lag between first medical contact and hospital presentation. The median differences between women and men ranged from 20 to 45 minutes. Women had 30 more minutes from time of symptom onset to hospital presentation. Of note, no significant differences were observed between women and men in door‐to‐balloon and door‐to‐needle times. Table 2 summarizes differences in the distributions of men and women according to the designated time‐delay cohorts after symptom onset. The proportion of patients presenting >12 hours after the onset of symptoms was greater among women than men (27.7% versus 21.2%). Patients arriving at the hospital within 2 hours of symptom onset were more likely to be male (30.8% versus 24.2%). Similar findings were observed when using a cut point at 4 hours to separate early from late care seekers (53.4% versus 47.4%). In multivariable analysis adjusted for other predictors of mortality, time from symptom onset to in‐hospital diagnosis was independently associated with mortality in patients presenting to the hospital within 48 hours (OR of 1.02 [95% CI, 1.01–1.03] per 1‐hour delay; Table S4).
Table 2

Delays and Stages of the Process of Treatment

Overall Study Population (N=6022)Men (n=4302)Women (n=1720) P Valuea
Median delays
Time to from first medical contact (min), median (IQR)50 (20–180)50 (20–180)60 (15–180)0.60
Time from first medical contact to hospital presentation (min), median (IQR)67 (40–130)60 (40–120)88 (60–165)0.001
Time to presentation (min), median (IQR)240 (120–650)240 (120–600)270 (130–776.5)<0.001
Door to needle (min), median (IQR)27 (15–42)26 (15–41)28 (15–43.5)0.56
Door to balloon (min), median (IQR045 (25–80)45 (27–80)45 825–75)0.11
Time‐delay cohorts
Time to presentation >12 h, n, %1372 (22.8)912 (21.2)460 (27.7)<0.001
Time to presentation >4 to ≤12 h, n, %1536 (25.5)1091 (25.4)445 (25.9)<0.001
Time to presentation >2 to ≤4 h, n, %1372 (22.8)973 (22.6)399 (23.2)<0.001
Time to presentation >1 to ≤2 h, n, %1022 (16.9)779 (18.1)243 (14.1)<0.001
Time to presentation ≤1 h, n, %720 (11.9)547 (12.7)173 (10.1)<0.001

IQR indicates interquartile range.

P value derived from comparison between men and women.

Delays and Stages of the Process of Treatment IQR indicates interquartile range. P value derived from comparison between men and women.

Role of EMS and PCI‐Capable Hospitals

A variety of factors may be associated with more prolonged time from first medical contact to hospital presentation in women. Among these factors, we analyzed sex differences in rates of transportation to hospitals by EMS ambulance and in priority for transport to PCI‐capable hospitals. In the overall study population, 42% of patients turned to the EMS as their first medical contact (42.9% of men and 40.3% of women). After adjustment for demographic and clinical factors, women had similar odds of being transported to the hospital by ambulance (OR: 0.91; 95% CI, 0.77–1.06; P=0.24). Patients presenting to a non–PCI‐capable hospital and requiring transfer to a PCI‐capable hospital were mostly men (27.4% versus 24.9%). Similarly, more men than women received fibrinolysis (14.8% versus 12.8%; Table 1). A reason for these findings may be that women presented later and often out of the fibrinolytic window of 12 hours (21.7% versus 13.8%). Among patients who required transfer from a non–PCI‐capable to a PCI‐capable hospital, women had a median time from symptom onset to PCI at the final hospital destination of 400 minutes compared with 360 minutes for men (Table S5). In the model considering only the group of patients transferred by EMS ambulance directly to a PCI‐capable hospital, women still had a median time to presentation of 210 minutes compared with 180 minutes for men.

Impact of Various Treatment Delays

When all of the baseline clinical variables (fixed covariates) were assessed simultaneously in multivariable analysis (Table 3), 6 remained significant predictors of 30‐day all cause mortality: older age, female sex, prior stroke, chronic kidney disease, and clinical presentation with higher heart rate or lower systolic blood pressure. The adjusted OR for mortality associated with female sex did not change when controlling for medication use at admission (Table S6). Estimates of mortality in women compared with men were repeated in the time‐delay cohorts for time to hospital presentation (≤1, >1 to ≤2, >2 to ≤4, >4 to ≤12, >12 hours; Table 4). Significant sex difference was no longer observed for patients having delays in time to presentation of <2 hours. Of note, similar odds for 30‐day mortality were observed with delays of ≤1 hour (OR: 0.77; 95% CI, 0.29–2.02). After adjusting for demographic and clinical covariates, the ORs for 30‐day mortality in women were 0.29 (95% CI, 0.13–0.64) for time to presentation ≤1 hour; 0.53 (95% CI, 0.30–0.95) for >1 to ≤2 hours; 0.61 (95% CI, 0.38–0.97) for >2 to ≤4 hours; and 0.61 (95% CI, 0.40–0.95) for >4 to ≤12 hours. The corresponding values in the overall population were 0.46 (95% CI, 0.30–0.71), 0.55 (95% CI, 0.39–0.78), 0.59 (95% CI, 0.44–0.81), and 0.54 (95% CI, 0.40–0.72), respectively. We conducted further analyses to assess the robustness of our results. First, we used the variable of time to presentation as a covariate rather than to stratify the data by delay cohorts (Figure S1). A strong and graded relation was noted between time to presentation and risk of 30‐day mortality, with the risk decreasing at every time decrement of the delay, so that patients with a time to presentation ≤1 hour had an OR of 0.30 (95% CI, 0.20–0.44) compared with the reference group of patients with a time to presentation >12 hours. This relationship was stronger for women. We then performed an interaction test between time to presentation ≤1 hour (reference group) and delay of ≥12 hours. Results were similar, although risk differences were attenuated (Table S7). The OR for women compared with men having 30‐day mortality was 1.43 (95% CI, 1.03–1.98) with no significant interaction effect.
Table 3

Multivariate Analysis of Factors Associated With 30‐Day All‐Cause Mortality

OR95% CI P Value
Unadjusted2.151.76–2.64<0.001
Multivariate adjusted
Women1.581.27–1.97<0.001
Age1.071.05–1.08<0.001
Hypercholesterolemia0.990.96–1.040.95
Diabetes mellitus1.050.99–1.120.10
Hypertension1.010.92–1.110.80
Current smoker1.030.95–1.110.51
Family history of CAD1.040.99–1.080.070
Atypical chest pain1.010.98–1.040.56
Heart rate at admission (per 1‐SD incrementa)1.381.22–1.55<0.001
Systolic blood pressure at admission (per 1‐SD incrementa)0.570.52–0.63<0.001
Prior angina pectoris0.790.56–1.110.18
Prior myocardial infarction1.020.73–1.440.87
Prior PCI/CABG1.260.91–1.730.15
Prior heart failure1.220.74–1.970.42
Prior stroke1.991.37–2.91<0.001
Chronic kidney disease1.361.20–1.54<0.001

SDs for heart rate and systolic blood pressure are 23 bpm and 25 mm Hg.

Table 4

Impact of Various Treatment Delays on the Odds of Mortality for Women

OR (95% CI) P ValueUnadjusted Event rate, %
Model 1: Overall study population adjusted for demographic and clinical factors
30‐Day all‐cause mortality in all STEMI population1.58 (1.27–1.97)<0.0016.9
30‐Day all‐cause mortality in patients receiving pPCI1.56 (1.25–1.95)<0.0014.8
30‐Day all‐cause mortality in patients receiving fibrinolysis1.58 (1.27–1.97)<0.0017.8
Model 2: Time to presentation >12 h (n=1372)
30‐Day all‐cause mortality in all STEMI population1.57 (1.09–2.25)0.01512.4
Model 3: Time to presentation >4 to ≤12 h (n=1536)
30‐Day all‐cause mortality in all STEMI population1.73 (1.09–2.76)0.0205.7
30‐Day all‐cause mortality in patients receiving pPCI1.71 (1.07–2.73)0.0235.1
30‐Day all‐cause mortality in patients receiving fibrinolysis1.71 (1.07–2.74)0.0239.5
Model 4: Time to presentation >2 to ≤4 h (n=1372)
30‐Day all‐cause mortality in all STEMI population1.77 (1.05–2.99)0.0315.5
30‐Day all‐cause mortality in patients receiving pPCI1.84 (1.08–3.11)0.0234.8
30‐Day all‐cause mortality in patients receiving fibrinolysis1.84 (1.09–3.11)0.0238.7
Model 5: Time to presentation >1 to ≤2 h (n=1022)
30‐Day all‐cause mortality in all STEMI population1.29 (0.65–2.58)0.464.9
30‐Day all‐cause mortality in patients receiving pPCI1.29 (0.65–2.59)0.464.5
30‐Day all‐cause mortality in patients receiving fibrinolysis1.29 (0.65–2.59)0.466.4
Model 6: Time to presentation ≤1 h (n=720)
30‐Day all‐cause mortality in all STEMI population0.77 (0.29–2.02)0.594.0
30‐Day all‐cause mortality in patients receiving pPCI0.75 (0.28–1.99)0.573.8
30‐Day all cause mortality in patients receiving fibrinolysis0.75 (0.28–1.99)0.574.9

CI indicates confidence interval; OR, odds ratio; pPCI indicates primary percutaneous coronary intervention; STEMI, ST‐segment–elevation myocardial infarction.

Multivariate Analysis of Factors Associated With 30‐Day All‐Cause Mortality SDs for heart rate and systolic blood pressure are 23 bpm and 25 mm Hg. Impact of Various Treatment Delays on the Odds of Mortality for Women CI indicates confidence interval; OR, odds ratio; pPCI indicates primary percutaneous coronary intervention; STEMI, ST‐segment–elevation myocardial infarction.

Cardiogenic Shock

Information on Killip classification at admission was available for 4003 patients. Women had higher unadjusted and adjusted risk of having a diagnosis of cardiogenic shock (Killip class IV) at hospital admission than men (Table S8). Comparison of time‐delay cohorts revealed that the risk of cardiogenic shock was significantly greater for women compared with men of similar age and similar risk profile when time to hospital presentation was >4 hours (adjusted OR: 1.80; 95% CI, 1.04–3.14).

Discussion

The main finding of the current study is that sex differences in 30‐day all‐cause mortality following STEMI persist and appear to be driven by delays in presentation to the hospital. In general, women were more likely to experience longer delays than men. Increasing time to presentation was associated with an increasing rate of mortality in both sexes. Notably, simple time‐delay adjustment eliminated the sex difference in mortality rate for patients with delays from symptom onset to hospital presentation of ≤1 hour. The present study, therefore, not only indicates that women have greater prehospital delays to presentation after STEMI, and consequently greater mortality, but also demonstrates a differential effect of sex on the association between delays and mortality. These findings raise concerns about treatment and triage strategies used by first responders and about transfer procedures between hospitals. These data also suggest that women are more vulnerable than men to prolonged untreated ischemia.

Previous Studies

Consistent with many studies conducted in diverse clinical settings, this study found that women with STEMI are at greater risk of 30‐day all‐cause mortality compared with men, despite adjustment for clinical baseline variables.6, 26, 27, 28 Our analysis, however, differs from previous reports of outcomes following STEMI because prior studies have not looked at sex differences in outcomes adjusted for time from symptom onset to hospital presentation and subsequent late or no utilization of cardiac revascularization procedures, and rates of revascularization are typically and significantly lower in women compared with men.4, 29, 30, 31, 32, 33

Sources of Delays

Several studies have documented that delays can occur from different sources, including patients and providers and the healthcare system itself.34, 35 We demonstrated that women with suspicion of STEMI have longer times for calling medical services, longer times to hospital presentation, and ultimately significantly delayed use of reperfusion therapies. Previous work has shown that women have longer door‐to‐balloon times36 and longer door‐to‐needle times.37 This was not observed in the current study, which showed similar in‐hospital times for reperfusion therapy once STEMI was documented at the emergency department.

Patient‐Related Delays

Our data demonstrate that women are more likely than men to encounter delays between the onset of symptoms and first medical contact.3, 38, 39 We do not have data about whether the problem from the perspective of the women is related to symptom recognition, symptom interpretation, or decisions related to care seeking, including the mode of transportation to the hospital. Women with chest pain often may consider their symptoms normal and seek help from incorrect sources.3, 38, 39 Angina in women can manifest as atypical chest pain or dyspnea.3, 38 In our study, the proportion of patients with atypical presentation of chest pain was higher for women than for men, but this finding was uncommon for both sexes (6% versus 4%), and thus cannot entirely explain the large difference in the delay in hospital presentation between women and men.40

Delays on the Part of the Healthcare System

Our study found longer delays on the part of the health system than on the part of patients. Only a minority of patients (28.8%) reached the hospital within 2 hours. Delays in presentation to the hospital (48.3%) mostly ranged between 2 and 12 hours. Women were more likely to experience longer delays to hospital presentation than men, in keeping with previous work.41, 42 The different twist in this study was that delay to hospital presentation was mainly related to the time lag between first medical contact and hospital presentation, which stimulates concern about the system‐related causes. Provider delays primarily involve lack of early diagnosis and/or lower priority for ambulance transport to a PCI‐capable hospital. Our data indicate no significant difference among the rates of women and men using EMS. Similar data on the use of EMS have been reported in the United States and Sweden.43, 44 Contrary to expectations, women showed significantly higher rates of admission to primary PCI‐capable hospitals; however, prehospital delays were still greater among women. These findings underscore the need to improve the management of female patients, even at the EMS centers, perhaps by improving the use of prehospital 12‐lead ECG for early identification of STEMI.45 There is a need for transfer algorithms, including EMS, non‐PCI hospitals/STEMI referring centers, and PCI hospitals/STEMI receiving centers, to evaluate outcomes and quality improvement data.46

Delays to Hospital Presentation and Sex Differences in Mortality

Overall, 30‐day mortality was higher for women compared with their male counterparts in the study population. Although 5.3% of men died within 30 days, the mortality rate for women was nearly double at 10.8%. Increasing delay in presentation was associated with an adjusted increase in 30‐day mortality for all time cohorts in both women and men; however, when the sample was subdivided into time cohorts, no sex difference in mortality was found in the lowest time‐delay group (<1 hour, OR: 0.77; 95% CI, 0.29–2.02), whereas among patients arriving later, women showed a higher mortality rate compared with men, ranging from adjusted ORs of 1.29 to 1.73.

Sex Differences in Response to Prolonged Untreated Ischemia

The mechanism of why a delay of >1 hour is associated with poorer survival in women compared with men could not be completely ascertained. Women were significantly more likely to experience cardiogenic shock in all groups of delay >4 hours, suggesting that some biological differences between sexes may contribute to altered myocardial response to infarction, which also may constitute a possible mechanism to explain different rates of mortality.47, 48, 49

Study Limitations

Some limitations in the current analyses must be noted. First, our data are observational, and thus some degree of residual confounding cannot be excluded; however, the effects of different prehospital delays on mortality cannot be subjected to randomized assessments. Second, we were unable to determine whether prehospital characteristics of the patient's home and rural location could have played a role in the delays in hospital presentation and treatment. Although such information might have provided useful insights, its absence does not compromise the actual findings of the study. Third, the geographical and organizational conditions of the ISACS‐TC registry may not necessarily apply to other countries and regions.

Conclusions

Our analyses indicate that sex differences in outcomes persist among STEMI patients and appear to be driven by prehospital delays in hospital presentation. Higher 30‐day mortality among women compared with men after STEMI is confined to times from symptom onset to presentation >1 hour. Reducing the time lag between onset of ischemic symptoms and hospital presentation is of the utmost importance for women because they seem to be more vulnerable to prolonged untreated ischemia. Further investigations may address the mechanisms that make women more vulnerable.

Disclosures

None. Data S1. ISACS‐TC (International Survey of Acute Coronary Syndromes in Transitional Countries) sites. Table S1. Baseline Characteristics of Patients With Contraindications to Reperfusion Therapy Table S2. Baseline Characteristics of Patients With Unknown Time of Symptom Onset Table S3. Baseline Characteristics of Patients Presenting Within and After 12 Hours From Symptom Onset Table S4. Multivariate Analysis of Factors Associated With 30‐Day All‐Cause Mortality in Patients Presenting to the Hospital Within 48 Hours Table S5. Comparison of Prehospital Delays in Patients Who Required and Did Not Require Transfer to a Percutaneous Coronary Intervention–Capable Hospital Table S6 Categorical Variables: Impact of Various Medications on the Odds of Mortality for Women Table S7. Interaction Test Between Time to Presentation of ≤1 Hour (Reference Group) and Delay of ≥12 Hours Table S8. Cardiogenic Shock Across the Designated Time‐Delay Cohorts—Rates Are Stratified by Sex: Women Versus Men Figure S1. Odds of 30‐day mortality according to time to presentation in the overall population (A) and in women (B). Reference group: patients with time to presentation ≥12 h. CI indicates confidence interval. Click here for additional data file.
  46 in total

1.  How can I deal with missing data in my study?

Authors:  D A Bennett
Journal:  Aust N Z J Public Health       Date:  2001-10       Impact factor: 2.939

2.  Percutaneous coronary intervention versus fibrinolytic therapy in acute myocardial infarction: is timing (almost) everything?

Authors:  Brahmajee K Nallamothu; Eric R Bates
Journal:  Am J Cardiol       Date:  2003-10-01       Impact factor: 2.778

3.  Delay in acute myocardial infarction: why don't they come to the hospital more quickly and what can we do to reduce delay?

Authors:  Russell V Luepker
Journal:  Am Heart J       Date:  2005-09       Impact factor: 4.749

4.  Door-to-balloon time with primary percutaneous coronary intervention for acute myocardial infarction impacts late cardiac mortality in high-risk patients and patients presenting early after the onset of symptoms.

Authors:  Bruce R Brodie; Charles Hansen; Thomas D Stuckey; Scott Richter; Debra S Versteeg; Navin Gupta; William E Downey; Mark Pulsipher
Journal:  J Am Coll Cardiol       Date:  2006-01-17       Impact factor: 24.094

5.  Management and outcome of cardiogenic shock complicating acute myocardial infarction in hospitals with and without on-site catheterisation facilities.

Authors:  I M Barbash; S Behar; A Battler; D Hasdai; V Boyko; S Gottlieb; J Leor
Journal:  Heart       Date:  2001-08       Impact factor: 5.994

6.  Trends in prehospital delay time and use of emergency medical services for acute myocardial infarction: experience in 4 US communities from 1987-2000.

Authors:  Aileen P McGinn; Wayne D Rosamond; David C Goff; Herman A Taylor; J Shawn Miles; Lloyd Chambless
Journal:  Am Heart J       Date:  2005-09       Impact factor: 4.749

Review 7.  Heart failure with normal systolic function.

Authors:  D W Kitzman
Journal:  Clin Geriatr Med       Date:  2000-08       Impact factor: 3.076

8.  Sex differences in management and outcome after acute myocardial infarction in the 1990s: A prospective observational community-based study. Israeli Thrombolytic Survey Group.

Authors:  S Gottlieb; D Harpaz; A Shotan; V Boyko; J Leor; M Cohen; L Mandelzweig; B Mazouz; S Stern; S Behar
Journal:  Circulation       Date:  2000-11-14       Impact factor: 29.690

9.  Relationship of symptom-onset-to-balloon time and door-to-balloon time with mortality in patients undergoing angioplasty for acute myocardial infarction.

Authors:  C P Cannon; C M Gibson; C T Lambrew; D A Shoultz; D Levy; W J French; J M Gore; W D Weaver; W J Rogers; A J Tiefenbrunn
Journal:  JAMA       Date:  2000-06-14       Impact factor: 56.272

10.  Cardiac power is the strongest hemodynamic correlate of mortality in cardiogenic shock: a report from the SHOCK trial registry.

Authors:  Rupert Fincke; Judith S Hochman; April M Lowe; Venu Menon; James N Slater; John G Webb; Thierry H LeJemtel; Gad Cotter
Journal:  J Am Coll Cardiol       Date:  2004-07-21       Impact factor: 24.094

View more
  44 in total

Review 1.  Mechanical Circulatory Support: a Comprehensive Review With a Focus on Women.

Authors:  Manal Alasnag; Alexander G Truesdell; Holli Williams; Sara C Martinez; Syeda Kashfi Qadri; John P Skendelas; William A Jakobleff; Mirvat Alasnag
Journal:  Curr Atheroscler Rep       Date:  2020-04-23       Impact factor: 5.113

2.  STEMI in young women: Don't miss spontaneous coronary artery dissection!

Authors:  Odayme Quesada; Timothy D Henry
Journal:  Catheter Cardiovasc Interv       Date:  2020-11       Impact factor: 2.692

3.  Ethical Machine Learning in Healthcare.

Authors:  Irene Y Chen; Emma Pierson; Sherri Rose; Shalmali Joshi; Kadija Ferryman; Marzyeh Ghassemi
Journal:  Annu Rev Biomed Data Sci       Date:  2021-05-06

4.  The stronger sex, until menopause: understanding the impact of estrogen loss on heart function.

Authors:  Cassandra K Conway-O'Donnell; Naomi C Chesler
Journal:  Am J Physiol Heart Circ Physiol       Date:  2022-06-03       Impact factor: 5.125

5.  When the Female Heart Stops: Sex and Gender Differences in Out-of-Hospital Cardiac Arrest Epidemiology and Resuscitation.

Authors:  Angela F Jarman; Bryn E Mumma; Sarah M Perman; Pavitra Kotini-Shah; Alyson J McGregor
Journal:  Clin Ther       Date:  2019-04-30       Impact factor: 3.393

Review 6.  Gender in cardiovascular medicine: chest pain and coronary artery disease.

Authors:  Puja K Mehta; Courtney Bess; Suzette Elias-Smale; Viola Vaccarino; Arshed Quyyumi; Carl J Pepine; C Noel Bairey Merz
Journal:  Eur Heart J       Date:  2019-12-14       Impact factor: 29.983

7.  Sex Differences in Outcomes After STEMI: Effect Modification by Treatment Strategy and Age.

Authors:  Edina Cenko; Jinsung Yoon; Sasko Kedev; Goran Stankovic; Zorana Vasiljevic; Gordana Krljanac; Oliver Kalpak; Beatrice Ricci; Davor Milicic; Olivia Manfrini; Mihaela van der Schaar; Lina Badimon; Raffaele Bugiardini
Journal:  JAMA Intern Med       Date:  2018-05-01       Impact factor: 21.873

8.  Patient-reported symptoms improve prediction of acute coronary syndrome in the emergency department.

Authors:  Jessica K Zègre-Hemsey; Larisa A Burke; Holli A DeVon
Journal:  Res Nurs Health       Date:  2018-08-31       Impact factor: 2.228

9.  Gender-Specific Predictive Markers of Poor Prognosis for Patients with Acute Myocardial Infarction During a 6-Month Follow-up.

Authors:  Ping Wang; Jianhua Yao; Yuan Xie; Ming Luo
Journal:  J Cardiovasc Transl Res       Date:  2020-01-06       Impact factor: 4.132

10.  The comparison of clinical outcomes in patients with acute myocardial infarction and advanced chronic kidney disease on chronic hemodialysis versus off hemodialysis.

Authors:  Naoyuki Akashi; Kenichi Sakakura; Yusuke Watanabe; Masamitsu Noguchi; Yousuke Taniguchi; Kei Yamamoto; Hiroshi Wada; Shin-Ichi Momomura; Hideo Fujita
Journal:  Heart Vessels       Date:  2018-01-16       Impact factor: 2.037

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.