| Literature DB >> 22022463 |
Neel M Butala1, Mayur M Desai, Erika L Linnander, Y Rex Wong, Daoud G Mikhail, Lesli S Ott, John A Spertus, Elizabeth H Bradley, Ahmed Abdel Aaty, Alia Abdelfattah, Ayman Gamal, Hatem Kholeif, Mohamed el-Baz, A H Allam, Harlan M Krumholz.
Abstract
BACKGROUND: Many studies in high-income countries have investigated gender differences in the care and outcomes of patients hospitalized with acute myocardial infarction (AMI). However, little evidence exists on gender differences among patients with AMI in lower-middle-income countries, where the proportion deaths stemming from cardiovascular disease is projected to increase dramatically. This study examines gender differences in patients in the lower-middle-income country of Egypt to determine if female patients with AMI have a different presentation, management, or outcome compared with men. METHODS ANDEntities:
Mesh:
Year: 2011 PMID: 22022463 PMCID: PMC3192760 DOI: 10.1371/journal.pone.0025904
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Gender differences in initial presentation.
| Variable | Sample | Men (% yes) | Women (% yes) | p-value from X2 |
| N | 1204 | 951 | 253 | |
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| Mean Age | 1177 | 56.0(10.7) | 61.0(11.3) | <0.001 |
| Mean BMI | 1113 | 28.5(4.4) | 31.3(5.2) | <0.001 |
| Smoker | 1179 | 604(65) | 21(8) | <0.001 |
| Hypertension | 1194 | 445(47) | 173(69) | <0.001 |
| Dyslipidemia | 957 | 134(18) | 64(31) | <0.001 |
| Diabetes Mellitus | 1194 | 378(40) | 147(58) | <0.001 |
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| Prior MI | 1185 | 167(18) | 32(13) | 0.061 |
| Prior HF | 1192 | 29(3) | 26(10) | <0.001 |
| Prior PCI | 1188 | 118(13) | 20(8) | 0.042 |
| Prior CABG | 1186 | 31(3) | 4(2) | 0.149 |
| Prior atrial fibrillation | 1177 | 9(1) | 11(4) | <0.001 |
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| STEMI | 1182 | 691(74) | 143(58) | <0.001 |
| Mean Heart Rate | 1170 | 86.1(21.9) | 87.4(23.2) | 0.441 |
| Mean Systolic Blood Pressure | 1154 | 130.6(27.7) | 134.1(30.9) | 0.091 |
| Heart Failure on Admission | 1182 | 134(14) | 51(21) | 0.015 |
| Transfer patient | 987 | 171(22) | 35(18) | 0.202 |
Mean (standard deviation) and p-values from t-test reported for continuous variables.
Gender differences in clinical management and in-hospital outcomes.
| Variable | Sample | Men (% yes) | Women (% yes) | p-value from X2 |
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| Aspirin in first 24 hours | 1195 | 936(99) | 243(97) | 0.004 |
| Anticoagulants | 1167 | 900(98) | 232(95) | 0.017 |
| GP IIb/IIIa inhibitor | 1162 | 107(12) | 18(7) | 0.058 |
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| Echocardiogram | 1183 | 680(73) | 188(76) | 0.392 |
| Angiography | 1169 | 263(28) | 53(22) | 0.029 |
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| Reperfusion therapy if candidate | 628 | 519(97) | 89(96) | 0.507 |
| Thrombolytics if STEMI | 602 | 457(90) | 83(90) | 0.876 |
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| Follow-up appointment scheduled | 708 | 348(61) | 101(72) | 0.024 |
| Smoking cessation counseling if smoker | 444 | 399(92) | 8(73) | 0.021 |
| Aspirin at dischargea | 835 | 664(99) | 156(95) | 0.001 |
| Beta blocker at discharge | 818 | 591(89) | 134(86) | 0.232 |
| Statins at discharge | 839 | 650(96) | 150(92) | 0.025 |
| Hospital stay duration (days) | 813 | 5.6 (5.9) | 5.8 (5.3) | 0.682 |
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| Reinfarction | 961 | 21(3) | 10(5) | 0.123 |
| Cardiogenic shock | 959 | 66(9) | 26(13) | 0.075 |
| Heart failure | 960 | 101(13) | 31(15) | 0.458 |
| CVA | 959 | 11(1) | 0(0) | 0.085 |
| Major Bleed | 945 | 32(4) | 9(5) | 0.859 |
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| 954 | 67(9) | 34(17) | 0.001 |
Recognized by Centers for Medicare & Medicaid Services (CMS) as “Core Measures” for AMI for inpatient hospital quality.
Mean(standard deviation) and p-value from t-test reported for continuous variables.
Gender differences in in-hospital mortality.
| Men | Women | p-value* | Sample size | |
| No. deceased/Total | 67/754 | 34/200 | ||
| Mortality rate, % | 8.89% | 17.00% | ||
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| Unadjusted | 1.00 (Ref.) | 2.10 (1.54, 2.87) | <0.001 | 954 |
| Adjusted for age | 1.00 (Ref.) | 1.66 (1.14, 2.42) | 0.008 | 930 |
| Adjusted for age and risk factors | 1.00 (Ref.) | 1.26 (0.84, 1.89) | 0.257 | 901 |
| Adjusted for age, risk factors, | 1.00 (Ref.) | 1.15 (0.74, 1.81) | 0.530 | 889 |
| Adjusted for age, risk factors, | 1.00 (Ref.) | 1.18 (0.55, 2.55) | 0.670 | 829 |
p-values based on adjustment for clustering of data within hospital.
Risk factors adjusted for include smoking status, hypertension, diabetes mellitus.