Sex Differences in Baseline Characteristics Do Not Predict Early Outcomes after Percutaneous Coronary Intervention: Results from the Australian GenesisCare Cardiovascular Outcomes Registry (GCOR)
Abstract
:1. Introduction
2. Method
2.1. Study Setting and Participants
2.2. Baseline Measures, Follow-Up, and Clinical Outcomes
2.3. Statistical Analyses
3. Results
3.1. Demographics and Risk Profile at Index Presentation
3.2. Procedure and Lesion Characteristics
3.3. Clinical Events and Outcomes at Discharge and 30-Days
3.4. Medication Use at Baseline and Adherence at 30 Days
4. Discussion
Limitations
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Khamis, R.; Ammari, T.; Mikhail, G.W. Gender differences in coronary heart disease. Heart 2016, 102, 1142–1149. [Google Scholar] [CrossRef] [PubMed]
- Graham, G.; Xiao, Y.-Y.K.; Taylor, T.; Boehm, A. Analyzing cardiovascular treatment guidelines application to women and minority populations. SAGE Open Med. 2017, 5. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Jacobs, A.K. Women, Ischemic Heart Disease, Revascularization, and the Gender Gap. J. Am. Coll. Cardiology. 2006, 47, S63–S65. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Mehta, L.S.; Beckie, T.M.; DeVon, H.A.; Grines, C.L.; Krumholz, H.M.; Johnson, M.N.; Lindley, K.J.; Vaccarieo, V.; Wang, T.Y.; Watson, K.E.; et al. Acute Myocardial Infarction in Women: A Scientific Statement from the American Heart Association. Circulation 2016, 133, 916–947. [Google Scholar] [CrossRef] [PubMed]
- Pendyala, L.K.; Torguson, R.; Loh, J.P.; Kitabata, H.; Minha, S.; Badr, S.; Dvir, D.; Barbash, I.M.; Satler, L.F.; Pichard, A.D.; et al. Comparison of Adverse Outcomes After Contemporary Percutaneous Coronary Intervention in Women Versus Men With Acute Coronary Syndrome. Am. J. Cardiol. 2013, 111, 1092–1098. [Google Scholar] [CrossRef] [PubMed]
- Canto, J.G.; Rogers, W.J.; Goldberg, R.J.; Peterson, E.D.; Wenger, N.K.; Vaccarino, V.; Kiefe, C.I.; Frederick, P.; Sopko, G.; Zheng, Z.-J.; et al. Association of Age and Sex With Myocardial Infarction Symptom Presentation and In-Hospital Mortality. JAMA 2012, 307, 813–822. [Google Scholar] [CrossRef] [PubMed]
- Humphries, K.; Izadnegahdar, M.; Sedlak, T.; Saw, J.; Johnston, N.; Schenck-Gustafsson, K.; Shah, R.; Regitz-Zagrosek, V.; Grewal, J.; Vaccarino, V.; et al. Sex differences in cardiovascular disease—Impact on care and outcomes. Front. Neuroendocr. 2017, 46, 46–70. [Google Scholar] [CrossRef] [PubMed]
- Shah, A.; Griffiths, M.; Lee, K.K.; McAllister, D.; Hunter, A.L.; Ferry, A.V.; Cruikshank, A.; Reid, A.; Stoddart, M.; Strachan, F.; et al. High sensitivity cardiac troponin and the under-diagnosis of myocardial infarction in women: Prospective cohort study. BMJ 2015, 350, g7873. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Kunadian, V.; Qiu, W.; Lagerqvist, B.; Johnston, N.; Sinclair, H.; Tan, Y.; Ludman, P.; James, S.; Sarno, G. Gender Differences in Outcomes and Predictors of All-Cause Mortality After Percutaneous Coronary Intervention (Data from United Kingdom and Sweden). Am. J. Cardiol. 2017, 119, 210–216. [Google Scholar] [CrossRef] [PubMed]
- Potts, J.; Sirker, A.; Martinez, S.C.; Gulati, M.; Alasnag, M.; Rashid, M.; Kwok, C.S.; Ensor, J.; Burke, D.L.; Riley, R.D.; et al. Persistent sex disparities in clinical outcomes with percutaneous coronary intervention: Insights from 6.6 million PCI procedures in the United States. PLoS ONE 2018, 13, e0203325. [Google Scholar] [CrossRef] [PubMed]
- Chakrabarti, S.; Morton, J.S.; Davidge, S.T. Mechanisms of Estrogen Effects on the Endothelium: An Overview. Can. J. Cardiol. 2014, 30, 705–712. [Google Scholar] [CrossRef] [PubMed]
- Anand, S.S.; Islam, S.; Rosengren, A.; Franzosi, M.G.; Steyn, K.; Yusufali, A.; Keltai, M.; Diaz, R.; Rangarajan, S.; Yusuf, S. Risk factors for myocardial infarction in women and men: Insights from the INTERHEART study. Eur. Heart J. 2008, 29, 932–940. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Eccleston, D.; Horrigan, M.; Rafter, T.; Holt, G.; Worthley, S.G.; Sage, P.; Whelan, A.; Reid, C.; Thompson, P.L. Improving Guideline Compliance in Australia With a National Percutaneous Coronary Intervention Outcomes Registry. Heart Lung Circ. 2017, 26, 1303–1309. [Google Scholar] [CrossRef] [PubMed]
- Hajar, R. Risk factors for coronary artery disease: Historical perspectives. Heart Views 2017, 18, 109–114. [Google Scholar] [CrossRef] [PubMed]
- Akhter, N.; Milford-Beland, S.; Roe, M.T.; Piana, R.N.; Kao, J.; Shroff, A. Gender differences among patients with acute coronary syndromes undergoing percutaneous coronary intervention in the American College of Cardiology-National Cardiovascular Data Registry (ACC-NCDR). Am. Heart J. 2009, 157, 141–148. [Google Scholar] [CrossRef] [PubMed]
- Moscucci, M.; Fox, K.; Cannon, C.P.; Klein, W.; López-Sendón, J.; Montalescot, G.; White, K.; Goldberg, R.J. Predictors of major bleeding in acute coronary syndromes: The Global Registry of Acute Coronary Events (GRACE). Eur. Heart J. 2003, 24, 1815–1823. [Google Scholar] [CrossRef]
- Nikolsky, E.; Mehran, R.; Dangas, G.; Fahy, M.; Na, Y.; Pocock, S.J.; Lincoff, A.M.; Stone, G.W. Development and validation of a prognostic risk score for major bleeding in patients undergoing percutaneous coronary intervention via the femoral approach. Eur. Heart J. 2007, 28, 1936–1945. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Szummer, K.; Wallentin, L.; Lindhagen, L.; Alfredsson, J.; Erlinge, D.; Held, C.; James, S.; Kellerth, T.; Lindahl, B.; Ravn-Fischer, A.; et al. Improved outcomes in patients with ST-elevation myocardial infarction during the last 20 years are related to implementation of evidence-based treatments: Experiences from the SWEDEHEART registry 1995–2014. Eur. Heart J. 2017, 38, 3056–3065. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Overall | Men | Women | p-Value | |
---|---|---|---|---|
Number of procedures | 10,989 | 8479 (77%) | 2507 (23%) | |
Mean age in years | 68.2 ± 10.6 | 67.3 ± 10.5 | 71.6 ± 10.3 | <0.001 |
<55 years | 11.5 | 12.8 | 7.2 | <0.001 |
55–74 years | 60.8 | 63.1 | 53.3 | |
>75 years | 27.7 | 24.1 | 39.5 | |
Race | ||||
Caucasian | 96.5 | 96.3 | 97.4 | 0.022 |
Aboriginal/Torres Strait | 0.1 | 0.1 | 0.1 | |
Other | 3.4 | 3.6 | 2.5 | |
Risk Factors | ||||
Diabetes | 24.3 | 24.1 | 25.1 | 0.350 |
Hypertension | 73.8 | 71.9 | 80.2 | <0.001 |
Hypercholesterolaemia | 86.0 | 85.2 | 88.8 | <0.001 |
Family History of CAD | 40.5 | 40.1 | 42.2 | 0.063 |
Previous history of Heart failure | 4.9 | 4.6 | 5.9 | 0.009 |
Current heart failure | 3.4 | 2.9 | 5.1 | <0.001 |
Smoking | ||||
Never smoked | 44.7 | 39.7 | 61.7 | <0.001 |
Previous smoker | 46.6 | 51.0 | 31.5 | |
Current smoker | 8.7 | 9.3 | 6.8 | |
BMI | 28.97 ± 5.24 | 29.07 ± 4.87 | 28.64 ± 6.30 | <0.001 |
Previous MI | 23.2 | 24.2 | 19.5 | <0.001 |
Previous PCI | 32.5 | 33.6 | 28.8 | <0.001 |
PVD | 7.4 | 7.1 | 8.2 | 0.071 |
CVD | 7.1 | 6.8 | 8.4 | 0.006 |
CABG | 11.5 | 12.3 | 8.7 | <0.001 |
Renal Impairment % | 5.3 | 5.4 | 5.1 | 0.583 |
>90 | 24.4 | 20.0 | <0.001 | |
60–89 | 55.1 | 50.7 | <0.001 | |
45–59 | 13.2 | 17.0 | <0.001 | |
30–44 | 5.3 | 8.4 | <0.001 | |
15–29 | 1.2 | 3.0 | <0.001 | |
<15 | 0.8 | 0.8 | 0.985 | |
Atrial fibrillation (n = 6412) | 14.1 | 13.7 | 15.4 | 0.103 |
Clinical Presentation: | ||||
Killip class: (n = 2517) | ||||
I | 87.9 | 88.7 | 85.5 | 0.015 |
II | 8.6 | 8.5 | 9.0 | |
III | 2.0 | 1.7 | 2.8 | |
IV | 1.5 | 1.2 | 2.7 | |
Ejection fraction% (mean ± SD) | 57.1 ± 10.2 | 56.7 ± 10.1 | 58.1 ± 10.4 | <0.001 |
<40% | 5.2 | 4.7 | 0.355 | |
40–49% | 9.4 | 7.4 | 0.003 | |
>50% | 85.4 | 87.9 | 0.003 | |
IABP | 0.4 | 0.3 | 0.8 | 0.002 |
Cardiogenic shock | 0.4 | 0.3 | 0.7 | 0.008 |
PCI Presentation | ||||
Elective | 53.9 | 54.7 | 51.2 | 0.002 |
STEMI | 7.3 | 7.4 | 7.0 | 0.501 |
NSTEMI | 21.5 | 21.1 | 23.0 | 0.042 |
Unstable angina | 17.3 | 16.8 | 18.8 | 0.023 |
All (n = 10,986) | |||
---|---|---|---|
Men | Women | p | |
Number of procedures | 8479 | 2507 | NA |
Number of lesions | 11,750 | 3304 | NA |
Lesions per procedure, mean ± SD | 1.4 ± 0.63 | 1.3 ± 0.58 | <0.001 |
Multi-vessel disease among procedures | 44.6 | 37.4 | <0.001 |
Access Site | |||
Femoral access | 67.9 | 71.9 | <0.001 |
Radial Access | 31.7 | 27.8 | <0.001 |
Other/Brachial | 0.4 | 0.3 | 0.422 |
Type of Lesions | |||
De Novo | 93.6 | 93.2 | 0.58 |
Restenosis | 0.4 | 0.2 | 0.064 |
In-stent Restenosis | 5.2 | 6.1 | 0.087 |
Other | 0.8 | 0.5 | 0.117 |
CTO/Total occlusion | 4.7 | 3.5 | 0.016 |
ACC/AHA Morphology | |||
A | 12.5 | 14.9 | 0.003 |
B1 | 36.4 | 38.3 | 0.112 |
B2.C | 51.0 | 46.8 | <0.001 |
Target Vessel | |||
RCA | 31.1 | 32.6 | 0.17 |
LMCA | 1.5 | 1.2 | 0.29 |
LAD | 41.5 | 45.8 | <0.001 |
LCX | 21.7 | 17.5 | <0.001 |
GRAFT/Bypass | 4.2 | 2.9 | 0.005 |
Bifurcation Lesion (Provisional Stenting) | 9.8 | 10.0 | 0.86 |
Intracoronary Device | |||
FFR any | 9.5 | 12.3 | <0.001 |
Thrombus aspiration device any | 2.2 | 2.0 | 0.49 |
Rotablator any | 2.3 | 2.7 | 0.35 |
BMS any | 12.0 | 13.7 | 0.026 |
DES any | 80.5 | 78.3 | 0.024 |
Stents (among lesions): | |||
Total number | 11,701 | 3158 | NA |
Average stents per procedure; mean ± SD | 1.4 ± 0.9 | 1.3 ±0.9 | <0.001 |
Stent length (mm); mean ± SD | 18.8 ± 6.2 | 17.9 ± 5.9 | <0.001 |
Stent length > 20 mm; (%, among all stent) | 30.9 | 26.1 | <0.001 |
Stent diameter (mm); mean ± SD | 3.0 ± 0.5 | 2.9 ± 0.4 | <0.001 |
Vessel ≤ 2.5 mm | 23.4 | 32.9 | <0.001 |
Procedural Success | 97.0 | 96.8 | 0.60 |
Procedural Complications | |||
Acute closure | 0.6 | 0.8 | 0.25 |
Dissection | 2.5 | 2.8 | 0.50 |
Perforation | 0.3 | 0.2 | 0.64 |
No reflow | 2.9 | 3.1 | 0.73 |
Men | Women | p Value (Unadjusted) | Adjusted Odds Ratio * (95% Confidence Interval) in Women (vs. Men) | p Value | |
---|---|---|---|---|---|
Number of Procedures | 8479 | 2507 | NA | - | - |
Discharge | |||||
Discharged | 8455 | 2500 | NA | ||
Death | 25 (0.3) | 15 (0.6) | 0.014 | 1.31 (0.40–4.24) | 0.66 |
Myocardial Infarction | 186 (2.2) | 57 (2.3) | 0.806 | 0.89 (0.62–1.28) | 0.55 |
Bleeding events | 140 (1.7) | 85 (3.4) | <0.001 | 2.02 (1.38–2.96) | <0.001 |
30-Day Follow up | |||||
Eligible Procedures | 8441 | 2489 | NA | ||
Followed up n (%) | 8304 (98.4) | 2444 (98.2) | 0.526 | ||
Death n (%) | 15 (0.18) | 4 (0.16) | 0.861 | 0.57 (0.11–2.92) | 0.50 |
MI n (%) | 12 (0.14) | 3 (0.12) | 0.800 | 1.31 (0.30–5.72) | 0.72 |
TVR n (%) | 34 (0.41) | 3 (0.12) | 0.033 | 0.55 (0.16–1.94) | 0.36 |
TLR n (%) | 21 (0.25) | 4 (0.16) | 0.421 | 0.56 (0.12–2.60) | 0.46 |
MACE n (%) | 59 (0.71) | 10 (0.41) | 0.105 | 0.81 (0.36–1.82) | 0.61 |
Unplanned Readmission n (%) | 193 (2.32) | 64 (2.62) | 0.402 | 1.18 (0.84–1.67) | 0.34 |
Men % | Women % | p-Value (Unadjusted) | Adjusted Odds Ratio * (95% Confidence Interval) in Women (vs. Men) | p-Value (Adjusted) | |
---|---|---|---|---|---|
Drug Therapy | |||||
During Discharge | n = 8479 | n = 2507 | |||
Aspirin | 97.8 | 96.8 | 0.006 | 0.99 (0.68–1.45) | 0.96 |
Clopidogrel/Prasugrel/Ticagrelor | 93.2 | 90.3 | <0.001 | 0.74 (0.60–0.90) | 0.003 |
Statin | 94.2 | 91.3 | <0.001 | 0.67 (0.53–0.85) | 0.001 |
B-Blocker | 58.1 | 58.7 | 0.563 | 1.14 (1.01–1.28) | 0.04 |
ACE/ARB | 69.2 | 67.3 | 0.067 | 0.92 (0.80–1.05) | 0.21 |
Anti-arrhythmic | 3.9 | 5.8 | <0.001 | 1.11 (0.84–1.45) | 0.47 |
At 30 Day Follow-up | n = 8304 | n = 2444 | |||
Aspirin | 96.1 | 95.1 | 0.034 | 0.97 (0.72–1.30) | 0.84 |
Clopidogrel/Prasugrel/Ticagrelor | 90.2 | 88.8 | 0.053 | 0.89 (0.73–1.07) | 0.22 |
Statin | 94.2 | 91.6 | <0.001 | 0.65 (0.52–0.83) | <0.001 |
B-Blocker | 55.2 | 56.2 | 0.365 | 1.11 (0.98–1.25) | 0.11 |
ACE/ARB | 67.4 | 66.2 | 0.281 | 0.93 (0.82–1.06) | 0.27 |
Anti-arrhythmic | 3.3 | 4.2 | 0.061 | 0.93 (0.67–1.31) | 0.69 |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Conradie, A.; Delacroix, S.; Duong, M.; Schwarz, N.; Chowdhury, E.; Worthley, S.; Atherton, J.; Eccleston, D. Sex Differences in Baseline Characteristics Do Not Predict Early Outcomes after Percutaneous Coronary Intervention: Results from the Australian GenesisCare Cardiovascular Outcomes Registry (GCOR). J. Clin. Med. 2022, 11, 1138. https://doi.org/10.3390/jcm11041138
Conradie A, Delacroix S, Duong M, Schwarz N, Chowdhury E, Worthley S, Atherton J, Eccleston D. Sex Differences in Baseline Characteristics Do Not Predict Early Outcomes after Percutaneous Coronary Intervention: Results from the Australian GenesisCare Cardiovascular Outcomes Registry (GCOR). Journal of Clinical Medicine. 2022; 11(4):1138. https://doi.org/10.3390/jcm11041138
Chicago/Turabian StyleConradie, Andre, Sinny Delacroix, MyNgan Duong, Nisha Schwarz, Enayet Chowdhury, Stephen Worthley, John Atherton, and David Eccleston. 2022. "Sex Differences in Baseline Characteristics Do Not Predict Early Outcomes after Percutaneous Coronary Intervention: Results from the Australian GenesisCare Cardiovascular Outcomes Registry (GCOR)" Journal of Clinical Medicine 11, no. 4: 1138. https://doi.org/10.3390/jcm11041138
APA StyleConradie, A., Delacroix, S., Duong, M., Schwarz, N., Chowdhury, E., Worthley, S., Atherton, J., & Eccleston, D. (2022). Sex Differences in Baseline Characteristics Do Not Predict Early Outcomes after Percutaneous Coronary Intervention: Results from the Australian GenesisCare Cardiovascular Outcomes Registry (GCOR). Journal of Clinical Medicine, 11(4), 1138. https://doi.org/10.3390/jcm11041138