Brief Article
Copyright ©2012 Baishideng Publishing Group Co.
World J Cardiol. Feb 26, 2012; 4(2): 36-47
Published online Feb 26, 2012. doi: 10.4330/wjc.v4.i2.36
Table 1 Mortality rates of coronary heart disease per 100 000 population by gender[3]
CountryYear1Men 35-74 yrWomen 35-74 yr
United States2007153.360.4
The Netherlands200866.222.8
England/Wales2007138.343.4
Denmark200684.832.4
France200748.412.2
Germany2006125.338.2
Italy200775.622.2
Russian Federation2006706.0237.1
China2000108.371.9
Japan200847.613.8
Australia200688.926.8
New Zealand2005138.447.2
Argentina1996140.339.4
Table 2 Prevalence of cardiovascular risk factors and history of myocardial infarction and cardiac surgery stratified by gender
AuthorDesignStudy populationPatientsAge (mean, yr)PHypertension (%)PDiabetes (%)PSmoking (%)PHistory of MI (%)PHistory of cardiac surgery (%)P
study/dateMenWomenMenWomenMenWomenMenWomenMenWomenMenWomenMenWomen
Reynolds et al[30] 2007RCTMI12 498409059.567.0< 0.00129.747.3< 0.00114.421.0< 0.00149.734.3< 0.00116.412.5< 0.001CABG3.72.2< 0.001
PCI7.54.5< 0.001
Moriel et al[28] 2005Pros cohortACS  82051178790.125874< 0.00133400.007135< 0.0013929< 0.001CABG147< 0.001
PCI2111< 0.001
Herlitz et al[18] 2009Retro cohortAMI  83558872.779.2< 0.000146560.012421NS2216NS4233< 0.0001CABG1070.06
PCI750.32
Mehilli et al[54] 2002Pros cohortAMI  143550260.770.3< 0.00161.072.9< 0.00118.025.3< 0.00143.125.9< 0.00122.116.30.001CABG6.13.40.02
PCI10.77.60.04
Mueller et al[55] 2002Pros cohortMI  103341764680.0160720.0119230.1533210.0137240.01CABG1760.01
PCI24210.20
Toumpoulis et al[34] 2006Pros cohortCABG  2598116263.266.2< 0.00165.979.4< 0.00128.845.5< 0.00116.112.90.01150.746.10.010CABG7.85.30.006
PCI10.912.80.093
Dallongevillle et al[15] 2010Pros cohortACS  6698226862.265.8< 0.000180.387.9< 0.000133.638.40.00919.311.0< 0.000119.120.6< 0.0001CABG20.417.2< 0.0001
Anand et al[9] 2005TrialACS  7726483662.766.50.00015368.80.000120.924.60.000176.437.40.000136.923.90.0001CABG13.36.80.0001
PCI11.57.20.0001
Matsui et al[26] 2002Retro cohortAMI  34613662.970.444540.04725330.07860190.00118150.517CABG110.556
PCI1240.016
Tizón-Marcos et al[33] 2009RCTPCI  105029859.762.549590.00417200.1932360.2345410.19CABG6.36.41.00
PCI21140.016
Reina et al[51] 2007Pros cohortAMI  464115686471< 0.0141.061.1< 0.0125.541.2< 0.0153.615.7< 0.0116.613.0< 0.01Total7.212.0< 0.01
Thompson et al[53] 2006Pros cohortPCI  80735961.767.7< 0.00159.367.80.00623.830.10.0347.438.50.00525.222.40.33CABG8.37.20.53
PCI28.324.60.20
Lee et al[78]Pros cohortSTEMI  2954108360.772.1< 0.00140.259.7< 0.00123.131.4< 0.00158.814.7< 0.0013.62.90.239CABG0.50.30.330
2008PCI4.32.80.023
Jankowski et al[46] 2007Pros cohortCAD + PCI  73818757.560.6< 0.00172.687.8< 0.00114.521.3< 0.0513.66.4< 0.0163.266.0NSCABG1.50.5NS
PCI8.88.5NS
Duvernoy et al[43] 2010Pros cohortPCI14848787761.966.9< 0.00171.082.5< 0.00129.238.5< 0.00127.321.7< 0.00136.032.6< 0.001CABG21.517.4< 0.001
PCI41.838.9< 0.001
Lansky et al[22] 2005RCTAMI + PTCA  152056257.066.0< 0.00129.059.3< 0.00114.025.7< 0.00145.337.40.00115.78.4< 0.001PCI12.77.1< 0.001
Lansky et al[67] 2009RCTPCI  68731461.865.9< 0.000172.781.50.002625.736.30.000724.021.20.371121.913.60.0022Total34.125.50.0066
De Luca et al[41] 2004Pros cohortSTEMI  11953535966< 0.0012439< 0.0018.715.8< 0.00152.142.70.00211.67.10.014CABG2.11.7NS
PCI5.31.70.004
De Luca et al[42] 2010TrailSTEMI  12833795967< 0.00139.152.5< 0.00115.322.4< 0.0015636.9< 0.0019.27.70.35Total7.77.60.93
Bufe et al[62]Pros cohortSTEMI + PCI  3761245865< 0.0016654.80.05511.224.2< 0.00167.340.3< 0.00111.78.90.479CABG5.60.80.046
2010PCI5.64.00.658
Carrabba et al[40] 2004Pros cohortSTEMI  62729367.776.30.00145.360.1< 0.00122.725.30.38534.114.3< 0.00117.214.70.331CABG2.61.00.129
PCI5.92.10.010
Lawesson et al[24] 2010Retro cohortSTEMI aged < 46  174838440.840.40.1413.921.7< 0.00112.418.50.00258.063.90.046.65.20.30CABG0.80.30.25
PCI2.51.90.46
Berger et al[10] 2006Pros cohortPCI  2953133161.966.8< 0.0016678< 0.0012236< 0.0011510< 0.00136330.08CABG19140.001
PCI26240.137
Chiu et al[13]Pros cohortPCI12 738530162.366.5< 0.0015871< 0.0012434< 0.00121200.0143420.29CABG3021< 0.001
2004PCI64< 0.001
Koch et al[20]Pros cohortCABG  158846051.770.20.000122.536.30.000171.549.60.000114.310.70.044CABG14.47.00.0001
2003PCI15.416.30.6249
Setoguchi et al[31] 2008Pros cohortAMI  31713088082< 0.00171800.00133390.0315100.015237< 0.001CABG18130.03
PCI1390.02
Table 3 Extent of coronary artery disease stratified by gender
Author study/dateDesignStudy populationPatientsAge (mean, yr)P1 vessel disease (%)P3 vessel disease (%)P
MenWomenMenWomenMenWomenMenWomen
Lansky et al[22] 2005RCTAMI + PTCA  152056257.066.0< 0.00151.151.6NS15.715.3NS
Lansky et al[67] 2009RCTPCI  68731461.865.9< 0.000161.374.2< 0.000111.54.5  0.0002
Tizón-Marcos et al[33] 2009RCTPCI  105029859.762.55865  0.0669.87.4  0.066
Hirakawa et al[19] 2007Pros cohortAMI  204856662.9271.08< 0.0160.156.0< 0.0534.8140.11< 0.05
Mueller et al[55] 2002Pros cohortMI  10334176468 0.012426  0.454229  0.01
Duvernoy et al[43] 2010Pros cohortPCI14 848787761.966.9< 0.00149.455.0< 0.00122.818.0< 0.001
Liu et al[25] 2008Pros cohortSTEMI + PCI  14311668.168.7 0.6114.710.3  0.2948.261.2  0.03
Jibran et al[81] 2010Retro cohortACS + PCI  33113760.766.1< 0.0000141.148.9 0.322.712.4 0.3
De Luca et al[41] 2004Pros cohortSTEMI  11953535966< 0.00147.943.8NS20.722.3NS
Bufe et al[62] 2010Pros cohortSTEMI + PCI  3761245865< 0.00148.154.0  0.03124.221.8  0.667
Lawesson et al[24] 2010Retro cohortSTEMI aged < 46  174838440.840.4 0.1459.372.9< 0.00133.619.2< 0.001
Berger et al[10] 2006Pros cohortPCI  2953133161.966.8< 0.0014850  0.1951817NS
Toumpoulis et al[34] 2006Pros cohortCABG  2598116263.266.2< 0.0014.67.3  0.00173.769.3  0.005
Tillmanns et al[32] 2005Pros cohortSTEMI  5131786066< 0.00014344NS571561NS
Vakili et al[57] 2001Retro cohortPTCA first MI  7273175965< 0.0055659NS1512NS
Table 4 Percentage of performed revascularizations stratified by gender
Author study/dateDesignStudy populationPatientsAge (mean, yr)PCABG (%)PPCI (%)P
MenWomenMenWomenMenWomenMenWomen
Reynolds et al[30] 2007RCTMI12 498  409059.567.0< 0.0013.43.10.4527.423.6< 0.01
Matsui et al[26] 2002Retro cohortAMI  346  13662.970.40.01470.1799584 0.001
Moriel et al[28] 2005Pros cohortACS  820  51178790.12760.473228  0.06
Herlitz et al[18] 2009Retro cohortAMI  835  58872.779.2< 0.000192< 0.0001157NS
Setoguchi et al[31] 2008Pros cohortAMI  317  13088082< 0.001330.731012  0.40
Tillmanns et al[32] 2005Pros cohortSTEMI  513  1786066< 0.000132NS95.193.8
Toumpoulis et al[34] 2006Pros cohortCABG  2598  116263.266.2< 0.0011001001.63.1  0.002
Berger et al[10] 2006Pros cohortPCI  2953  133161.966.8< 0.0010.10.00.179100100
Alfredsson et al[11] 2007Pros cohortUnstable/NSTEMI34020197616973< 0.001751814
Lagerqvist et al[21] 2001RCTAMI  1708  7496468< 0.00130243428
SoS[37] 2004RCTMultivessel disease  782  20660.664.7< 0.00150.152.449.947.6
Singh et al[79] 2008Retro cohortPCI  7616  336564.769.40.80.8100100
Liu et al[25] 2008Pros cohortSTEMI + PCI  143  11668.168.70.6185.384.3NS
Table 5 Percentage of peri-procedural complications during index admission stratified by gender
Author study/dateDesignStudy populationPatientsAge (mean, yr)PComplications < admission (%)P
MenWomenMenWomenMenWomen
Lansky et al[22] 2005RCTAMI + PTCA  152056257.066.0< 0.001MACE3.26.4  0.002
Bleeding2.05.2  0.0003
Lansky et al[67] 2009RCTPCI  68731461.865.9< 0.0001MACE11.33.2  0.0766
Vascular10.61.0  0.6844
MI11.02.9  0.0526
Tizón-Marcos et al[33] 2009RCTPCI  105029859.762.5< 0.0001MACE13.93.4  0.86
Bleeding11.12.4  0.16
MI13.53.0  0.86
Thompson et al[53] 2006Pros cohortPCI  80735961.767.7< 0.0001MACE2.73.9  0.29
Vascular4.212.0< 0.0001
Jibran et al[81] 2010Retro cohortACS + PCI  33113760.766.1< 0.0001MACE13.92.9  0.8
Access site11.56.2  0.02
MI11.50.7  1.0
Duvernoy et al[43] 2010Pros cohortPCI14 848787761.966.9< 0.001MACE4.485.19< 0.001
Vascular1.023.34< 0.001
MI1.601.66  0.70
Bufe et al[62] 2010Pros cohortSTEMI + PCI  3761245865< 0.001Shock10.111.3  0.838
Renal failure1.31.6  0.835
Reynolds et al[30] 2007RTCMI12 498409059.567.0< 0.001CVA10.20.6< 0.01
Heart failure4.06.7< 0.001
Re-MI2.73.5  0.004
Matsui et al[26] 2002Retro cohortAMI  34613662.970.4Heart failure1626  0.013
Re-MI56  0.568
Moriel et al[28] 2005Pros cohortACS  8205117879  0.12CVA21  0.79
Heart failure2121  0.86
Re-MI1514  0.61
Uva et al[35] 2009RCTCABG  148548164.769.0  0.001MACE3.96.6NS
CVA0.71.2  0.2
MI0.71.3  0.08
Herlitz et al[18] 2009Retro cohortAMI  83558872.779.2< 0.0001Re-MI42  0.02
Toumpoulis et al[34] 2006Pros cohortCABG  2598116263.266.2< 0.001CVA2.84.2NS
Bleeding1.81.5  0.592
MI0.60.7  0.657
Liu et al[25] 2008Pros cohortSTEMI + PCI  14311668.168.7  0.61MACE4.26.0  0.50
Berger et al[10] 2006Pros cohortPCI  2953133161.966.8< 0.001MACE2.93.0  0.922
CVA0.10.2  0.905
MI1.61.7NS
Access site0.00.3  0.018
Chiu et al[13] 2004Pros cohortPCI12 738530162.366.5< 0.001Transfusion412< 0.001
Haematoma56  0.568
Setoguchi et al[31] 2008Pros cohortAMI  31713088082< 0.001CVA34  0.57
Singh et al[79] 2008Retro cohortPCI  7616336564.769.4 0.48CVA0.50.9  0.29
MI1.11.4  0.44
Tillmanns et al[32] 2005Pros cohortSTEMI  5131786066< 0.0001Re-MI32NS
Table 6 Mortality rates in male and female patients with coronary artery disease at admission, at thirty days and after one-year of follow-up
Author study/dateDesignStudy populationPatientsAge (mean, yr)PMortality < admission (%)P Mortality < 30 d (%)PMortality < 1 year (%)P
MenWomenMenWomenMenWomenMenWomenMenWomen
Lansky et al[22] 2005RCTAMI + PTCA  1520  56257.066.0< 0.0011.03.40.00031.14.6< 0.0013.07.6< 0.001
Singh et al[79] 2008Retro cohortPCI  7616  336564.769.4  0.481.82.50.3823 0.25440.490
Alfredsson et al[11] 2007Pros cohortUnstable/NSTEMI34 02019 7616973< 0.00157791619
Setoguchi et al[31] 2008Pros cohortAMI  317  13088082< 0.00114.513.99.88.621.518.2
24.3325.03
Matsui et al[26] 2002RCTMI  346  13662.970.4440.851410  0.013
Uva et al[35] 2009RCTCABG  1485  48164.769.0  0.0010.820.011.22.3 0.09
Toumpoulis et al[34] 2006Pros cohortCABG  2598  116263.266.2< 0.0012.72.90.6393.73.9  0.747
Moriel et al[28] 2005Pros cohortACS  820  5117879  0.127120.0071912110.480
Herlitz et al[18] 2009Retro cohortAMI  835  58872.779.2< 0.00011214NS18220.040
Lawesson et al[24] 2010Retro cohortSTEMI aged < 46  1748  38440.840.4  0.141.02.90.0052.23.70.010
Berger et al[10] 2006Pros cohortPCI  2953  133161.966.8< 0.0010.50.50.9188.921020.197
Liu et al[25] 2008Pros cohortSTEMI + PCI  143  11668.168.7  0.612.85.203.4
Anand et al[9] 2005TrialACS  7726  483662.766.5  0.00014.94.4  0.23511.19.70.040
Tizón-Marcos et al[33] 2009RCTPCI  1050  29859.762.5< 0.00010.20 1.000.81.00.720
Tillmanns et al[32] 2005Pros cohortSTEMI  513  1786066< 0.000166.2NS912.50.600
1221820.070
Lansky et al[67] 2009RCTPCI  687  31461.865.9< 0.0001001.00.30.447
Koch et al[20] 2003Pros cohortCABG  1588  4602.53.4 0.294.217.110.020
15.8419.640.030
Lagerqvist et al[21] 2001RCTAMI  1708  7496468< 0.0015.77.2NS
Chiu et al[13] 2004Pros cohortPCI12 738  530162.366.5< 0.00157< 0.001