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 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