From: Subject: Coronary Heart Disease - Risk Calculator Date: Thu, 16 Nov 2006 22:20:15 +0530 MIME-Version: 1.0 Content-Type: multipart/related; type="text/html"; boundary="----=_NextPart_000_0000_01C709CD.643C2F40" X-MimeOLE: Produced By Microsoft MimeOLE V6.00.2900.2962 This is a multi-part message in MIME format. ------=_NextPart_000_0000_01C709CD.643C2F40 Content-Type: text/html; charset="Windows-1252" Content-Transfer-Encoding: quoted-printable Content-Location: http://www.intmed.mcw.edu/clincalc/heartrisk.html Coronary Heart Disease - Risk Calculator
   

Division of General Internal=20 Medicine


Online = Clinical=20 Calculator


Coronary Heart Disease Risk Calculator


Risk Factor Your Answer Points Relative Risk
Sex: = Male Female   =
Age: = years  
Smoker: = Yes No
Diabetes: = Yes No =20
Blood Pressure: / = mm Hg =20
= mg/dl
HDL Cholesterol: = mg/dl =20
=20   =20
Total Points: = =3D % risk of heart disease in 10 years =
Average = 10-year=20 risk =3D % (for others in = your age=20 group)
Low 10-year = risk=20 =3D %=20 (for others in your age group)=20

Information for this Coronary Heart Disease Risk Calculator = comes from=20 the Framingham Heart Study. The results are applicable only = for the=20 ages of 30 to 74. Please refer to:

    Wilson, PW, et. al. Prediction of Coronary Heart = Disease=20 Using Risk Factor Categories. Circulation 1998 97 = (18):=20 1837-1847.

The score=20 sheet for men and the score=20 sheet for women come directly from Circulation.



General Internal = Medicine
9200 W.=20 Wisconsin Ave.
Milwaukee, WI. 53226
Last Update: 6/8/2000. Developed by Charles Hu, Ron = Kneusel &=20 Gary = Barnas=20 M.D.
Comments to: barnas@mcw.edu
------=_NextPart_000_0000_01C709CD.643C2F40 Content-Type: image/gif Content-Transfer-Encoding: base64 Content-Location: http://www.intmed.mcw.edu/images/mcw_logo_w.gif R0lGODlheQBkAPQAAP///yEhIUJCQkpKSmNjY2tra3Nzc3t7e4yMjJSUlJycnKWlpbW1tb29vcbG xtbW1t7e3u/v797OzmNSUpSMlO/e57WcpcattcDAwAAAAAAAAAAAAAAAAAAAAAAAAAAAACH5BAEA ABgALAAAAAB5AGQAAAX/ICaOZGmeaKqubOu+cCzPdG3feK7vfEogl4fwcghgAobgMEEw9p5Qk2BC eQCu18olcilIsGDAI1EQRM+7iSWMrVgwCLb8ypg40fhVYDAgGKpyEBcOCAQYDQARFWAOFxByYwcE fHd5lnFzAIQEPwwHGBMAnwdgRJwIX5kLlqwYqWEOCwgHCFZXDgMYBBOuchIJBggLiGwNrXkEYQ0I AwUNEXIVuSIIj3NcBgMIDmAVlcdPmAAKs9VsEBK24yTm6NZgEMAHCtAAhuBRDFj18BTZfgoY6RIx AACDApMMKHi3D4sCfFFegWkg68ABC/yyOHgIwFivLBYsJhiW8QqEbxBx/wjo5mnCgS1zHpBoIEEE sTARGhxwaWERFl4pd5ACUGHWPJ9gFPkEWkIAtAols1CwSAELhaA7bgYKOYHTgIAiHkAYMQARgz4D eEYthTXHSjZaFiSg6iBjrgMMMFxzMPXASJhhHqBsG0NcBAkUEB54lmnsCG6ZruRkVoBCXSzTCNNY gKUcxshYLjB1BlqyJ1o+EWiuAfkaAwQGOE3Sh8WxiAQd+3AKdgGpr9UzAkSNO5dWkAiK4DmYUOFT qETIITAo/pchZuAxCmB5IGvStrVgPmEQ8ODq872FJiCwoC4BdhiciVrcVvpKzYEjAtZvMFfcm/ct CBeZIFMhxMkBVqzC2f8EE3hxxQMGdEVAAQdQ0Bt4YgDYwlCwlKOABYM8ABU60DiWFk4SQKDIAw4w YAE5tEiEhRkaqhAfABdMtQsq9a0ywo2g/XIgBTeJVyMKN13AgAO+1YfjNOfVV0EDDNDW0ZEoBNBk UtIV2BWFVWHRQAMKPJALIhEUuAuFCTiCIQA0YklCMmFoMctIIDogVgUsXoAFO7lYEcGSYkHAoosV 4RWVanKSEOY4CBTQDCD1wVHBj07GI6l6N/rY6BHvMNCAik5iUYAICL55zQMX3HTfp3SWOkdzIhCg law4Dabho5FtNIsBBRhAi5UAQCBeaL8GS4sCMs5hwKcY+HkNEZmdMMD/o3UtokC1UrwU2X+NWmBo izAipKu1jy4QJwtTUIiAAiFKdy60MgTEKL3vBXAPvjjQ5MC/AAcs8MAB7ytCAQQnrLADiDWKwMMQ RyzxxBJzBkEDrS5iAcUcdwwMvzZQQVMDFKwL8skop9xKokykMEBxCFylcg9lhpbCjRDcOzMP1kRg MkFttDIALYU0Ki0A7plwo0cpCuH0ng/V0gjDVHuKgZ4YiyUeAV9ItwAEG+ssAkYmWODAmDRZclME 3BZkzQUj0LaAbgZI4MAItoiHsCYjYPLAPWtEcKoIAcRhNQYFASC2CCaxcrZPMo9wgASYeATKFToP AC5tJXwhky5X+Bgm/1N950XCGjiesAjclvyi3+cjSFCAdlfWinkJmXFOwlCsh44B7XebQIDpBEmg TwQnWGE5Hr+8Zc8IBow1lOXPMSpsCfGZAA3yegGwirTgqkAK7Ysrz0rD+gWv5RvTj1C9CBIYKYLu M13xyRUcXZH0CgAM8Bb3JDBf61RzHl4kgxftE8FzPPGFwcXtCkrTX/dWgYX9pcAg87uCwTAgwDw0 LADWeIOFUHUF6uGPAJxxYAYBEMF14K97SGOBPoAGgMiFpXYelJnfBvA3EuLwfRgICfYgOMQYvrCC K3CKLB62CNvccHlooFzsJBM8DCTwcoojCOkwQL8RSIsXvktF+ALIuP+zeAU3McQbDpkXOXHsj3fu u10JBtdFESziUhO0on1QwEK9GCxxTrQC6zzoqcRVIE6YGCSdLIg47tGGdJi4Cp18FB/5iaAqv4Od F6/AFCtU0YtQAMCrDpHFBxarb/apFiJEABlwTeAR/xkK7CDzrL49YgLpMIF+iFcPFcahB0dLIwG8 4UMwyCIwKcoCj9ogAaj8h2v8qIDpDrA9JT2AAQKw0gOYop/GZQQ5FfDJzl4wgZEUbZzoRIMACiAM BVAgUum0BBofIKmhQQAdxIsnDwKgnwVUIgCcOZwIpvAziEwAWEEhBhQJdzESADQCEHCAiijgBAOM 6Rb59CJkWlQCAoj/RQhs+OQAHsGdnjwAAcYYldPuCYFwPk8H51kcqixHzQgw4wikEFytrPHJOaVi kHOizQMs4hcrSA4akRPAGj73KJghYos2oE0EdBUA8YRpgwa4gswqmQLaQZWGQMUAHrMqChP8awT1 KIEFVGgD54X1BHRaKCmfFyZLlkCDKIhrCVQjgEc4cQQJqKI1OsqtGnCIkSeIz1fJ+gZM2JUEnMxr CUUQDEwBYIzJIyIHeyCOx5LAKYnQlWQCgEbPMg4AX8Ui6yiwP2vYEAW2oGwfd4DGsqrgOaO8KydL q4LIwvVBB+CGkZC4AlskICB43IE4ZEoCsspVBL10bG9RK1kxVMi2/zBErAls8TAV9eA8AiVBsB50 wSu8zH7TTS2dVhs54sbNUGIxRipk24MA2IKYJwjA3axRUDrJpK7pRcFzPCKAfaVCoIm84WxNW4PO oiCrGOCtCTChGunOcQR47SjirvBWOEzWBBLkoGahIACf5HagixhPib5R4lNGWI4jyCaGAVBLssBN r9jjYoZHQLukxbYEntgBAeqxuKpwj3aW5EwF7hGfsLZKtpftXE1oN1sRfO20mvzIsdA7giGnlgYC iM8YIpQA412ryxhxgCReEgEFmEENa0kQBhawJTEYZALqYMOrcDOoBZhtbqYkSlJeyoOv3LcBqb1W q6ZT0FYohBz6jP+0pCdN6UpDhAAXWICwLgAuC7HhXm1iwAXu5Sm8jNpComYUAxZwgAUchMdjIoUw 5GeB04DoHvAK6wSUdElPWEg1qB41AUAU1pcEecKpI8gtRfAI03E4xtBYXimDyDposG6VzGZUMpw4 KrRGYF/6YFQW1MrCBVk5eIsIHu2y7KcTkCLLyWBbtLy3O0dl6Db3xoACaomIpPGtb7/z7Y9OC+Ky YmGUEH7E6TLoKSyEjxQngKX2Uuen8CrQvAqO3SZ9tOMMZjk//ybB8fTSzziKFbvTCCiG4xO5UJhg KIt7pD4eUoAOI+ITCLMCzi2HCB/ZQoo3fC1ao1yCoeCmQS/c8Lz/ifIQTDVcj7bVjgkkTIJK6gMx a5QcvWURkDfIYgQ9h7JJcgEN7Xav6XMKHQBOhQlDuHykYACKyhknAj99O+BT53LVr2AAfSB6hMJL RBAFQNYg1s9qkzPJMNNYcIE+JyB0vIKkZpsELHxi7noBu+BdPkcYb7Lc9MaA0KGruKRBQy6H1yX+ vmBxjb0cc2vX/N+qDPWaYL7KGpO6CRCB2dOT0uKWraV+5Ffx35EuIAtQ8tQ9fGI/yST2BLkjC2sc cOQhH8MkeA40ThCK5F4cj8VXAZ2mQSeDFf+XWleN5zHAvY53j3HUj1W0SFCQu92+8yP2KQQGd4Ap 1Wp71BdxTqRwdVpHFHr0HwYwKGqUNME1SOFWKylyMFlXeJqQCx5lJhOwPYYQB2h3SflXAgnwGhRw bKLnTgoAaDejMwvQgStIAQrABKEgFxuzVwaxBi+3aggwHSPggl/HDiz0AxaQAC9iZSboHsLAakNk aUq4hEzYhE74hCYQAgA7 ------=_NextPart_000_0000_01C709CD.643C2F40 Content-Type: image/gif Content-Transfer-Encoding: base64 Content-Location: http://www.intmed.mcw.edu/images/mcwpic.gif R0lGODlhOwFkAPcAAP///8bGvca9xr29tb29pbW1vbWttbWtpbWtnLWtlK2tva2tpa2ljK2chK2c a6WlvaWlpaWllKWUlKWUjJylnJychJyUnJyUe5yUa5yMc5x7e5SltZSlpZSUpZSMlJSMjJSMY5SM WpRzMZRSWoyUtYyUnIyUlIyUjIyUc4yMhIyMe4yMa4yEhIyEe4yEa4x7UoSUpYSMpYSElISEWoR7 jIR7c4R7Y4R7WoRzhIRza4RzSoRrQoRrOYRrKYRja4RjY4RKSnuMjHt7jHt7a3tze3trWntrKXtj a3tjUntjKXtKWnOMpXOMnHN7nHN7hHN7e3N7UnN7SnNza3NzY3NrUnNrSnNrOXNaWnNSUnNCSnMx OWt7pWt7jGt7a2tznGtrjGtre2trWmtrQmtrMWtja2tjY2taSmtaQmtaOWtaMWtSWmtCQmspMWNz c2NrnGNrSmNrMWNjY2NjWmNae2Naa2NaSmNSSmNKOWNKMWNCSmMxOWMhKWMQGFp7pVp7nFp7jFpz jFprhFpra1prOVpjY1paSlpaQlpaOVpaMVpSa1pKQlpKIVopMVJzlFJrnFJrlFJjjFJja1Jae1Ja WlJaKVJaGFJSa1JKWlJKSlJKEFJCOVJCGFIxOVIxKVIhIVIYIVIQEEprhEpaa0paY0paSkpSa0pK a0pKOUpKMUpKKUpCMUpCKUpCIUo5MUo5KUo5IUJjhEJae0JSWkJSSkJKjEJKe0JKSkJKQkJKIUJK GEJKCEJCWkJCEEI5SkI5OUI5EEIxKUIpGEIhKUIYIUIYEEIQGEIICDlKWjlKMTlCazk5MTkxUjkx QjkxITkpMTkIEDFCYzFCUjFCQjFCITE5QjE5GDE5CDExITExADEpMTEpITEpGDEpEDEhADEYITEQ GCk5MSkxUikxMSkxGCkpQikpECkpACkYISkYCCExISEpISEhMSEhGCEhACEYIRghIRghEBgYABgQ GBgQEBgIABAhABAYEBAYABAQIRAIEBAAAAgQEAgQAAAAEAAAAAAAACwAAAAAOwFkAAAI/wAnTbqk 7py6dbZsXZqkRtAkOpMSCYQoUCLEi2ESZRSUyCEdj5PIaOzYcBJHMoI+JgIjCkysWJLAhArkiGYo RzdpBvITyg9On38c+fQp1FHRoUeR+hnKdKlPL0v7OILax4+Xqlb99IG6RasXrlCvcvXT1Q8Tq1u/ LiG7peuWPmWrvhVL1ilUP26clnVq16qXP3ybCuU7WOnUp0+9MFG8BMYGAQo2dPAgI8aSvDR90nT0 ZSrUmppritY5umaomaJPB5rJejXr07Bjn760UNk7efjiyfumTpmtimHIkJEVRg3EkWEgigqzfORH 4yY1Li9J5mPxh4IEDQfT8aUkSYFI2//kaTSoo6Dkb5rP7MhN0aOD4y8VuuWwVaFV897vurVP3v5b eVXVVX6sVVV/ZmElF1lwwRUVgnUN6J+EeQnlhSNYCbUYEyWEZeGFW+Xl3n1IXXghiYpdtSEJG3AA QwcwwkBCDE0YFdpQXizx1Veg7TQTejiJllpqpN1kpCO0hEJLIJIsmeSSsSSphkDKOCONMsqsc5s8 9MjzDjjM7MJQdoKowVxEYQAnSnQbCYfSSA6RYdJDwm2UnUkpvblSS6wFSV6QOEn1HlFf+NTZfIja h+hSVDlSlqNkWajVXm6IxUSDa7k1aYQNMiiWWFjttaBWbihI4KkY3uWXFzDIWIJfelX/uuOGiPlU X1hqmQUVE0y42GoHHGxAoxdcXLhTaVDR9MdXfthkVHhDomZTkTMtqWR4qwUCZXhOSvLSJGHs8g4+ +ZyDjzrogrOOMwcdZBs5yKTDTEIShaTdSGzKyVFw93LUhXEOddGRSGFoZzBKwkki8EqngQEGTjvR 1IeyNpYnX1JMJYUVo1ulSlapV0Hah1ygXqXjV198scVXK/exxFwrL9aEVU1spWmA/dHVFYECMqrp Fo2R0CqvWyzmxcpNLNHBBjCEteiJWbGM6xKW8dqqZEwUa5V7QDKa2V9CzdRss0FuttnD0E4bZJ86 qXZaLLJNIssu6uCTzrj4mIsPPrgd/7SLNL1owoyW8hRu9zu2SCNLmYJk5HhHGcnShSxkdHGJvtW9 GUZy2TXkJkp0dAH6RyyF8kUsgcjEHlFIjejFTjgypWpVha2VF3+nanWgyWBlJYQXYHwRRIon7+jF F218UaxaRedI1Vh1RajV9B135cbK0+8aAwxGA73EBgZswARgeBU2FVa4Rs3EFpUyYQEMlhFrKFGA 2RhIH2D4cWhPjjwMBv70G5JM8NcHSUjlf6irCU1kkiTVRCkUtUiSIi5BioIU7hv4eIe5ziEPcz2j Fc7ABzOkgQxmlDAd2uBb4d6BEDqgxGBHkEVH6EA5GoKODAVj3L7oALnsIOyHBgODcP8cRoZYOAwM 2EpW7PBjn8HoB0N4URB9tCIyuizlLdgDmiO4IIQSWEABCxACEYKQAhnIoAkp4JAXmkAEOhRhDEco whGIQEflfUEIv2vC0dj3FQn5J4sB0gujdLSEQp5sCUmLAYv0SD68PKUwgXGKI3RElkIarVmf+YPZ yGaUnrhhM0HpyU36J561HSk80lIbtpJUC9dwixS7mKAteoEldZQrH/kox7nwsYx1yEMa6+gH3rBk QmaAQx3yUEfBEtEMZchCFkcQieg08hHhLI5xbmrc56zjwyC+EAzZAafDjIgtaC0LKfWBCxRJxDH8 fMxRjtpZgKyXlq8IoQkvUkAACDD/AAWkgAhmtIAM/olHGdBABYVYxBrQgAYxONQMhTBDSCp3RDBo rWUMkudVcubItVileWyhWmN45QWQCaVSUUvKiVAKK6OhxydcuNhQjgXK8yjwJ6kh22akVTacnMY0 2npNk5QUiksUQiBKkMRDBLKLLJ2rXMxwhjx2kY4Mbgkf8DgXM7Z6CY2EYR18S8c6pKG4g6GkYBFp 3L78pZ3PCedg2gGnIMBJBrq24YhfQCISA/GFkqaTPvZRlV9oR6D+QGpS8YQKGNoggw4sYAACGMAA NiBZJhChAidIgQVOoAIVECEFNVCBGRZBiUykIhOdyMQpDpGJO5hBDK8tTiEsSpWW/3HFtgUSUO82 tMeiNYaSd1EVz+4CKQ9BZS2qckNMjzU2pADpWEEZj01vQpSc3LQ02aqJtSDmJNXQQiYLmaAszCAL o1YEIpfYBTNIwbdpIBM3WdVl3fZROGUIRxTSYEaW3pu3cfTimXX93L40AkSUiE4QokOYDxEGhgQT oQ11dRgRuGDRL2ALPSZyCu2oxzHd1kdAK9uiDEpAWX4qwMQEAGMQVCCEFLg4BWQ8AQ1SkAExeMIV rXCFjluhC2FwohO6WIQnKHEHSmhitsv7ysxa5rIIXYoqjPJKgVYWs/TJBVLWi12UGVUYE1noPFyz 6XND4yOcRLdsZMYuUCGWrSWh0v81DQyFGmQx5zkXRxZKABdxGqIGjdD5EglZhzLUcZtzwMNLv9SO LN7BwoM4QxngcIa61CGvdPiGrAvJTuiqI8QucKcLH/G0cCAM4cohTHQNJsOD54jHGrQhCC0GAxFM FxQuaLiwRyPLp7qSqausDAYKGEAA9AnGYPczxQRwcQnMmIJdxKIlLv5ADSYB0SNrohWKOEQqUpHj ViziDleYARGGQAQhMAHWROjeFXXdn0vBzN2+houK9MKVD205K5D0EL4Rg6GIzTSAQimSTQNFk5jW xD0Cd9ZqHBEL7hopqKGQxRVkIRA7K4HOEhcFxRMx5yIs5yFFkIQL52aLY36DFAX/I4WX6lZVvckj HerohS12MfNW3IZc6gBTRISzaUEcwYVzvetdPe3Cu5LB6BAmguiIcIIgeCADy+7CXI+YOoeF4g+y qkuOBFSqAvXnC5TtZz8jUOx+LiDFHSjBCSTQARmYohamiIUHmPABGhyBFJMohC2UEY9znEMRu9C7 IhQxCTp6dowHVUEatcaVBs3FZrf+qFbcDZe3ZCWQjhRM+fa9qPtcCD0Ts6lPhGAx6ELXKF8IfWe+ EIr/gQdQBrzf62GzGjC4WUlh2HNEJq7x4iznCjT8l0RkmJFJFIFyYejCzysiC1KMi74GyeA5qpq3 VuTDSmBK3OCQubd3ICPBwpH6/9+kEZGlt6ENRKCo+R3WBcWn4AQw2CzPpz51h1k4PIway1kuY6AQ hV3sJ2ZskhVsoCUE7rcLpmAKklABH/ABODQEQ0AGRzAJ6tUKAlEIl0B4k9AFRBBOhkcELDY8XXEW j7cEjid5CSJlpOIWUKEfIhI9TpEXzGIXX0Yi+SNmNnUhnVEUp9csnYEZz1IT69FJQchT2gIxEKMa gVBeFCcQTlgRaPIQkqMEBKNxPHR8iUA5wjERTkhL51IQeQMP5/AOzAAPgyN9ObdVgKMM56AMnSZX gpAQMldCy0AcQfdgRCBE40ZHn+UBKaB2KSAI59dGsjZX9bdYwcMFXCArDqJrJv+4BF+gAJIIWQPA AWK3AGFUAQMwUEUQBlVQBGRAA0RwBDVgAyBQHO7nYk1HBsdAB+knRNGkAomQDMeQDF2wYnhULA4y bwLyZAPiFZkyMtMTF5f3KKpyUvPxGX4QUyRSMUp0Hj0RMW5wgzShjDZ1P6VkNqYBKGXTGtfCLTSx EFPihFMyjhAhCxAxHFnoEInQBUowOYkABQTzEBTxOWAwEFdSVS8HDvKgXxo0LoVjEO/gDKcgDad2 dImQX2Q1fiM0L7ughYLgWejXhyXwfhW5WEewWMLxYEenane1WIKQV4GQZEcjFlsAdpI1gP1UASkA AiFgA5ooAzUwBGbQiUfwATT/KQZF8Ikr8FljlAIzRge20AZM8GJtoAJbmAzJIANjJATDsz4jcxa6 E2+5dSnr9hY5I4ycciKCFUllwSNZkXn60zUBNzZleR5pZh49QnDaaF0z4Sw5gS0P54R59oRLpQRl slR0AAUWEQamIAjQJEP9khFygkMDk004JAuzpA7AVDhegjfmIg/5sAumdnRgEAYjRHPKMEKywAzH sHe9IA0KQTlKpwJkVEYnsIrpZ3RC1GBgcATox4F01AZC4DBt0ASKOCvHowCRNQALEAEWMAA1sAIz 4AAIgAAD4AEfQGOd1Vk28AJQsANFsAIvllmnKQQ1QAQfIEYpwGJdgIG7kAgj/2aaw/NRI7gUj7gp d+Egc2GCHLYxHCZYQbFhn/EVZFkoMLVFaAka+mmWmxSEZ3YjOlFKbrka1kITscB6DCE3C1qOl7A4 UzJ8Ifc4jSMJUHAEa0UwKSEIyzFg/CIc0ZQck3Al61AOuKFLvCEPtuBg54df8zJztGQL8xKaMiej p5AQI+piMpCaFVk5d5WRXQBhsnZ+ATYEskZu5VZutOmU9yQEHTAABNAAF2ADKrAAFYAAB0AAJpaa H1ACyxltHtAAH8CAyzlQRfli5qZ4uKgCQ3AEGZkIfKgC55YjOGOVtYUW0+N1G9WIOxMp6AOfzzMg ktIU+nEo9wEYsOMGQTEim//hnzx4Zv+ZcGo2oOCRMlNycRQxJXRQfIUZEgJBMH3ZHGRyLzeUJxta YDjUViIhCBi4d4N2OUcgOrQpC2Qlo5spmq1AczUqDaewXr1qC9H2h6sYfkKEfnWldOhnpBPZBq5m Aw+mAq6WAi02B6fQBiuQAQwQAQiAbAaQYieGmifghzpKGQ0QAdLKBTVgpmXKBBowUGlkmi4mBEMQ Bq+lBmQQBIuxFpmSIDqyFftqIAzSfwTSp4UVlk5zKpjnFLBjH7CTMcx4LO0xNhTDSdDSGUMYHqH3 lthiYULwBW4gBG4grWh0DLmHVM9Ejuy4VKCaeyihBH7Jl9AEmCgxUTm0TNn/4Tjasak3KzCCUAR0 AIuVox1tQEKiGUtzQwqzJJq98KIJYQuK0LTLeaacdZnS0EZENwSg9opKt7V5aANC0JNg8E/w6lkp UAFnRwAbAEaY6FiPZUYq8AEwUEYv5mKOdSXMoHGeyRGy0GBsFARkxAQGCILQigIgWCyXEkgG8jLI 1WQjA7BysSCgEj2BJFzZExjrJBTMKElYF3BHUSgYEgoTgxTnEXpnYygTEx55dTxNIARnlAJeILdy qgEfIAMDEQYXJ3ELGhFoQmDSwbKACQXLsRxksBxHQBJqhRzV5EPctKrWcZipenRdYAoNqX3N8Jkz N3OAZgutwAynQHNOW0bL/9kBJ0BHzdeaFDUEEMaBqiZrsvlP6CcER0lHQQCClMEBCyCJCwADkmUA mKgAHcCSJXABMlABMkAZAyUDHEAH0nAMHLoM0gAGJMQMYAAOipMIx7AMQtB+eFRGciqCuYUVS+Ax VCmMLjMhADIWuaZ1sLKeuQafizIYJ5I/fpA/Cxux7rFc1TUftSYUncFX+sMFTeAGsMYEBsVsNDBj NFCUNLBiKUAcz2QmjhOFaEJxj2OYR2AKG6ERHNE4iaA5cbI4LlQwOHRDb1VgUqcGUvcFyLDA0uC9 NDdCJbR31ztzhdALgFfAFlACFFACKiAIgCZqooZ+selpSMqB7QeCYzRGNf8AY5+VAveLiY98Yhvw WLMLAxkAAwTcAWU7wB0gAbuQDLugcW0ch8mwDIKwC8dgCi4qCLUZgqb5AYrBIFoBAyPTFsj1ZLYD wlWxr4w7IIXFH2cBn4G0Rfk3g4RBXBXSBDvsSMzVI83CBSNZLHg0Yy2WAmjkrnILY0BJRht8Bczw DeMAJtJACsRHmFw4EpJzDMMxCcvxEQPWBcEhCyuAxY0jMAUjORvRaQqWTfIYOgZzDPk1L1vlkG1M c7sgc/oFmvlFBjbABCdgARYAakdlYIuVJbawOGCgAhNpyHmo0URQA/MrrSzmYmrLtgF4vxwwY3+o AgP1pWVLARaQe3vbjur/jMqkkJC9IAqi4MCLVZrlVgN4ZDIkPCllcSl2ip6hUhdtwRc3YyCBijtR szVO0UialywVciGLCCTL9QcW+xUywCtldMBmJAPL2QSz62KwJtI0cMBNfAgqRF/yAA/osl7oqE0c ETqUA01pohEmgTB/WScI1hFUWCapqkNdPMYHA07BEbSeWaueOS8KWXMGTXOAFprGhA/IMAkwNhy2 4CYcCEw3R4aLcwQGCAbzC4K0ucgGaIBlhIm+6b9oC8kDUJEj9odz62J5PDfHIAuiANAoIUNy0hEs sQusTAYi7Vmw1gRvsRYwoBUmmBbT425WOXkjAyoNIpWSl9QcVbl3gWFL/0E+5hMUX3EsNzyS5g2y 50bEy1bA7E0ZcvvVKVB30vpiA3WadEe75HAI+bVfdYMP/3BBMacQApESByYR+oIcGpoSWnyzBqMd AvNWG1EwH2pq2hHQgJNfifM3MmoLDhyayoDQ+TU3pgB4/yQwzUBWcxUECZ1fyKBC+NAFGUwHLUZG IA2Cq/1+/Gu/bPvaj1WRFWkBXXrbFkABqPzA+MXAxwDQUHAMdysKfyNrsmCAQcAFQLkhjXvlDrIW UImnKhKVH9UHTxYVKWwWXzlPumIWxayMQNGM9xEENywEXJAyQIxHRJxGsztQAsXWaSS3GYBG2ZzE crvWQJkCiYAM/WAu7/+gDe0iaMrQDOugDrawDvDQCwUBVpDmtAJBOVq8hexsz2EABjYQgcEBLj9U YD4kOqEmCI89cxe+C+ql4Q5p2X8TmjSXX7sgA0ip6iPkkeuwD+eiQYzuDG2QAtLwDlmCDL0ALrIG Y32eAikGyY/smxtAAANFwMLq0CM25BZABqEsCJLg6mDwkLtAB39jChAswW0QBk050k2wPgZyKSa4 3GgB72Thi4dr1C1DgkuxPtFzXE4zM7hCLDtyTjtha1mtZAKPR0Ig6HfuYuJK39k81oF+pgPVBEDd gZNwBEXpAWSAD5NQN4m+S/jgDZLp6/iwDezSCp85QppwTPjQD/SQD4X/kw6SAwWCoAmZTQdRcJRR QAqpcAikUAhhIAabY/PhV8YIFrSVg5nKoJBLq7S+ISauzupIO0L/ddCZ/QEaPQlW76PMcBv58A3w oEFjuMS2sVXeqwzfcAwV3wBC4JsLwLb36wEKcAAKYAE6qsnfLglkoAIV0AEWIAvIsAw6fQzEzduf LguB4O2SsLdCgI5jtGL46gbw7h/xXsL790ddbtT+kSA2EyCXYRVhXgJgHtUb8gdTfm7Jja9NCrjm xqTTvMFiZHjD3gQs7a5N0ABMQAMxQNYl4AExIAEVac3WLAvf8A6OXjeygPcpAAbqIAvOsA/nUC52 g1XW/w4Y1Ap10wxj/+hozNAL6oUl72BphSALhRD0p4ByhSAGp3AKg3AI43AIg0AJ4yA3De7OB7bY UueiTE4KDQkQu3pJY2aLWUGCBnfZsrVr0sJlk1K0ITIJ3EAyRNp0IRMmEbJ17+Tt+9YlBTh88OSp 06aMmTIyKYSoUFFigYIFOTvgHJBzQYkOMipIkLErlilJJUpQYJDoGDNRso7ZErTrmDRZAo+RWSiI yBEybVTMpBGESR+0TPz02dJnCVsvfvx42fL2bB8/b7fkxVt3bh+1br3YxetIbom4Xrj4+cKFiQwV TVIwSSGj8gnLMixTTtFZRRCZnYOgECJTxYcYKWLIICrDwgfIQYiASf+kTN2czifW4Ctn9Vw5UUyC yKhhqxBDZevUqcv3bZ88eSmXM/OmDhk+fNHzZYe3Dpwy8M2qnRJTBUq1VOPGTXNlrlCucegPDQpD howgOvfzCxJEBkz/+sJgRhZnkiFIGoaY2YUZaXZp0EFmSGGQmV4WssWVRDzQqLaC7BsCDDCIEHG2 MI5BhgghlOkHn+VaPEcWD0L7QIEIdKpxAQ5wMqCEE0r4AAYLRKmlFjBKqGCBEwRh5piHXDkmEVsQ pIOUXXZJhBRnJBHiGK+IGAs0N95aIi8vAPODCy68EKINMEIJpMwl2urDDbfmWiKuMekaM6+/zhrT MDTBkESQRAShoQT/oTpjgokMmPiAhhRAy2yyD4KAdDJIg7B0OKUs6BGGziDzQBDommFGHXzIiMFR NeR5p5dJKpxEgspq0OaSSSZJJIw5JrlElpfUUUmec5TZBx/bzhGWxXfw8QY7bUhpRptcTjnkkGbG SaWZ9MqxtpttxqEEDVnGEAQMMjiyr7/70k03kYSqRFBBgxqUpsKGCAJ2IFt6YaYVWUoQEVhkekkX 3SM4amOILrwU4og21NilFXXOsRhVRR5VwbIBDNjAp5sM8KmzGmygyZRETJmjgw4WQEENImqgqI0j /kvkEkGOATiRgwTh4qBLgpiJiC2Y8IsJL/4IQs0mmFBKhja+kASM/1hCwXMJMevc6844/fIC6T+8 CCSQLqwUJZFCM5qUMiEyaKLSEijTLIUSmrAAUhmEsNS00iK9m81JbElnGQuEImOlgs7BRxAYMvgA DGnW2EUSZXrTrAIatPFVjTBkmUQNMiYJPfTAbWkFnHWUeWef7eTJx1XsKm4mHXPU+aWacqrJNttq qhnnkFOsuZaSVPpJRxmsJumv4Tbss68LWZAfkMqGCqmyoYUWJOgqBPElKIwKuCBCFnBeoigsjYj4 sAswhhiRpiZqECIM09WRKDQLFDhAZJ8++KCGDxDAMkUoQhWKcATLEMEGGchAEQ6xApmgSESC8NxX mseRc7WBHMsQhf/eSsOEpinGC0FogqaUQjcLpEBEQgiRIGJBtUD4YQt1ccsM6/I1LyiGC4EAkSw8 l4j7eKkyPMoMZYxIAzDsQhaFWmIiliiLLkSFCJ0pTRBqILTO2IIe6mDGN/AhDRi4hgzlUMcu1IAg QVjAUUf4xjuU0QuLMQMGH1ChNtQwCVncMVdqkEUY6CC6jiSCDoLgSCJydYkoMQMczqgYb2xxhFRo Az29m0YzqmUNa1jLFdaoxjRaYQuQrEMb60gHi1InDTpwpAsCIoi8CtIQhmSPSlWSVy9sIYsKIWMS FmhDG6LHoJplJCwfSl/6ZEaRGsgvBTQYSwpUcCkCRMBxElCBDUL/AIIMVECANLHBCoawsQxA4QU6 CIENQpWCGFExDCiKlN5UELGHMCMRU5yiCubQBho85nKgKUEKeiSTmfnnPiACAw/DliYegkgUc+AP iDQCmksZSSiZqYBlHkUZFZyADLbgUlZ2URUlSqJBbZBBWZZ5UnTaoljAUoYpZKAUW4HjFLKwmDQK 94EurKRCLklEpCwjBFGE4QqyOIKuoJAIJciCDp3zSBiUQMEw+LE+UABDfoiQHyeO4UKcrIYrUjEN dMAnFZRAhhmmoQ1XpGM750hH6tZBvYIkzD6yQMYxlkGKZcTLFQZhiC0u0SBkYKVgfW1IGEpQAzBI qCHu6kLDEtYw/42oQCNtIwITujCWKw6tNC9YwQuIcIEIMAABBDhAThRQUdd44AMXuAA6PYCAA9Cx ov0sXAVoGyoVdMaZQyDDGmRRiDAcQYX9UZ7zvJACGFDAAickwwlEtD4ypHI2baAD2gx5LjCcILd0 o1sHLJDCH2VgMpHqTBMqMN5KdYYIosCuKEDUhUSACD8k1RsRhFYWoRyhFcsQg3Kc4bTDEmsdvXCV NGQQBJpk5Ai7+MIzT8rMH0Ihj2EIqigkvKtdEVIW9sEwGXZVBEE6LwzJyEU6ttG7+FSDElEYwzTG UQ8yeksdZMSH4lLiqm9wUV3Qa+VdTbGQwNnyegQzhb36hcheNP+DDhYAgy9doojzEQF9ROgCRYqp AjDIxkv2rUGkJKtCBoSZAgRYgAEQgJObhCqF/UyBdy2QkxiV4LtKOaFlQFXRDzThBMOdRBXCANyx qIFdM5tNk0EDgxJ0QXwUUZdHfri8ysQ5BZ7iUT9P8E8rYpSIE5WbomQCFVGIwiqi+LEoJGEVMFgm NFY8aavKgTp8rGM4J6BBNXqxYXQRoZ99SwEYZFHZkwqBjp/LlSxA7EOPKM8jFOyPoD0C3zAQShDR pvYk4JGOapgjXCeuxhiiMI1y1I6M2kBVrPHxDlShqlkwSZcvCYKMBfVisLa8ZSE8JwsD7aIQFFJE v2wBkwrIhnz/BWlfFyDmPvZRWUSMtrIKuNBM0PQtgNFEcwQUIIGcRGBSKUDteVHw5gqAqJefsYyc hVJbGTRgOCmYBB3okAEFCmEI007XZENEERAhtg0yqwiuRAeGCwjhvJKqgAf2XAHhYIa7/bQMUT7Q KR5VRo10dJQKG3S2rDjxGKZIIpd23ZmyzMQDYYgHPr7DRSFYRrJCIII0yKA33fZNBh6Y2zllgEdF 8NeJoJPFU9UQVCDeB779ScTg8dMfQSivELPbhjq2UY7cQR4e4yiHPGqnDVtoQhmMZA505AGPc8hD GegKy4EiJA3A2lIZu1DEVCy0iyLLoiGlM1gJmnygR7YbYg0b/wKhsZyCGnipfUPjG8f5d4AYoBlH N6noCZbbZt0aabmTUMYxojKgqARV5FWcTBCUADEh7FkmG5UGrt678NnMRgj5mYT7OlPpBtjt/ZWp TBMyUBpEeapHFYiBBTqwZyKgH1sQBVDxABVgAg0wLyEwpELBI12RBUJJhI8ar0uBlPAjA2bwiBDR FPqjokQQP8kIlbmRAdhQNcuYBEVQBkXwnM7hHFOYBMArPEF4Kg+DAviCr/tQg0LIlVOYBmQQj3CB h3JIB3iIByEUQnlohmYAjzAQgi64o38DB2ERPVUaH4TYBSoBFoZApOyZhJdQBoaQhk9qCEVghi7g JV8Ch4agA/8wMLiFaR8rUx8wkKwQmcMtGws8rIyeWIAOOACLA5kFKBx/ejr964BJowAKcArsOwYu EQWCUBJbEoWDaMKG8hLJCAIyuIRm2AVlSAQUGKS3awO2Szj7mrQecb4TYILzQpFTlIEOkICq678e SSGZ2zC6KYR/UId1kAUL4EAhgIIiiKoACcZ1IgNgPIIwgIIAIYMhwKLSqJSxwBXOmBS62wwS3JjK mChVoz9IsQVSyJUrWCoMa6pdaTkINAUoiK53WSW6Kgc1iIJCWLwSwx3Iq7x6gAd0+wYhTIcZS4dC kKsP8Y8uaDnGkj1SkAYJ2QV48zdbegipELUosRBFaBCYsAD/+yKIAVGX82G49GkYyZINQcBDBAO7 FPiAPeRD08IRnOARD/CRBnAaf/IUC6gAQZCGUJOFq5OFZTiGsrEKMmBEUVCBXQkLZhpFgyCFTuQC QUCGJam5hxIRSRE/pSMvukGUCuiAp4sRGXAuZEiO15EFCigBWdii6uvF+hMDNDADIzADMVCDthyC E1iBQhCDMTCDMGDLuYTKotStCCpBOnopdJqMFBrB8wrBuaGBzDiFZiAFNUiEO6KwSSBHQRA0DxM8 5xlI+yiESsI2FROPcIsHeRiHeNBHeNDHcmiGUygHVziFeKyP5bnM53GyZWCIvFoIWxKyeluSAcHC WHIIZSAC/17iAozcBYghA6b8RiAKkRoQHyxrTpmbib65FJP0iZYBGQ44AIq6nK3kONegAK5gLzBI BlG4j6gIHUMiA1G7hBQYz4bJNCzLvAYJA3RBBllohQ5ayt/aQE+zyq1kgmciOSFABoZIHSZIoelQ HTLgkSMoB2cYkKjjS2eypUKYEmagINkrnUKgCSHoski5lK3MjDXrDK2kP9DowMqADfpLFMtAhlbQ hjwqtkk4KjzqgkuANsFTAnV5HjIghXRIB8oLt3qIB8hLh1NAAyKUh9HMhXDJBUkCnhxFlwt6nirz l8GapVtqiGlgKWZYBqZ0kFg6BjRwECJwri5IhpcghTYEA/8GwYdx8Dx4wAdSmJk5hDvZKAsiuJQU 2MMYILOb4IAFKC0JgAEJaAIG0EakswAGYLLq6yjrCwUuzRlg4QpbmAQh+DkwcJsMkI1JoBIX1ahd +BVK5QpO9Ap+aoAO8IKKIgJlaIljkbMhqDFbIAd84C5OlAZlwIdjsK0u+IdzU4agoD/OCIKHIAU6 eBBRuATitIpdEI4pirhmuoztPKcO1AwSpAxEmTTXyNbxSoEmWEJ10IRcOQ6fIwNBKwJTaJf7wI92 WR5pSAfJU4nS5IdyGIdmOIR0iIdpOAV+bIZp6J3e2YZJUCV0qbJ04YgjCALp6Z6CkLddaAZTYAhT 8KEqyYr/euErRmgDGNCIKDmGSwhIfjyIg6xPZ2iGEmgDYWEQ0NmuuEOnk4yB0vIJGOAADkiXHwnU Qn0N5/NOmwy1uhKFY5AKOsgKnlQQ9RxKMOCC+6OySVhMM6IyepsEKjOOS8gIIdjRYygHZWCCBgCD fmiFWzWFILCALiijS5iGXaAbFdiGJHyHfwgYjZKHdGCGInmMFB0/QZCELhgkEAEiwhOE0GA7BIM7 VSuBjXkp2GA6H/EAujsv6GM7+7DVsy0NVWXQQrgjxozMoSqCJUo8yVxXxlKDfxsHdaiHz1NC9ZjX elDCZng8c0AH8UgF4GIsKWvD5qGyMmWQTyoIMFwQZoA3/2YwW4TIl4W4hK2ThjZoAFEkiFaQhvYR hGbBh2roh+pYB7NtgxQwCClEt3dghlMAA5SygAE4gJYRX+okAAUYAHtbhgp4jSBogDtTroF0rzaJ r1CThvGxCkGYzV0IgmhTzplAMFvAB2f4hl8Dg1MInHkCA1fYBVeQBclSB3nQhlgTI3WovupryRo4 h3FoBewI2xRQhlxMDlt4OGQEA1tIhBKggdn6UJZzCAncukCANzzKiir6jGaCFKajvz1LFDl7PhUS As5IhHOjXnzoB2nQShWohm/oDRQEQ3U8gkRQxnEslLQ5vHbhCOpLB1swQndF0iE8hXeIh/XAnXr4 1jDgLf+BQh/mUSUVCCwGMYiDiJC6UgZRMIhCaKVEQpDuUYZ8QqynWIbgaoNEkIdyqLFGUpxWaAIV 8A4F+VROxAdJ2MYT6BidqOReBAMvbAZeTIFEIDVB0IwI6AAykAbrqwr+iApZEBRCSReUIYJBayfJ KgS4xQdFCAI6ED1n2IWNMA5moFQVuDavZQa6WYFi4WBncI0h4Ad8OJVnaIMKEIITvoR58hKKkCyv QJRo3U4ocQiJFYRayEIlKkXohDipq7TCYbOKwJ5vyIdd6EULCIN8OAdmMAUyYoagoLXHmzF1WEJl OAVcgUD+WNeATlfKvI9CGYJTUIeErrx4AM1y2AbFjIf/a0mFVAi3QmgY5qm5C5IyjWgDA4kljnKl N2KIgYCQhriK2+yF32QyIngKJ44YW1CO6NiHd/gGeQCH+ysl3mg85FGGI8Cc0qgABSCAN3szkCHc +njC5RKSWoiFDqiACIiAjVKiJAK1IgOpDTuGKkmBgRLF3JoJMjCDhj2GquWHc1gHZrDlCj5g+WmF VjgGAg25eDgHcPiHddhKIqhgPAID+RGRFUi8z/BqwYXW3LCMjdowJUKbSQDkwJmENjisEuW+koyg XOkpyiADesgHZwhgeAiYSZsEZenEt04EFoa8zzNNz4MOdXAjICNIdgmLdTFOZUAGbIO80UXSeNjn eryW/1wohFNIQvBIl4ShCIYxxjdsg2mozQTBQlqyBUXIHn9biIKgF1dgBuAkAuE8iF0YAogZkcTj RHCQh17wkmapGHVwBmU5h0/eLhnoCT+lAD/FiesMxOUagsIRklCohadeAO8MaUd8EiWyBTD4MQFP 7CBYkvF8J9kIEfWxDykDj3VoBiYogtYR5hRYB3mohu1ApyHYDq8laxWSMluQHy0bC/uyIhrgMpmY tUnZDPVJH/d5ruNecWWiASEQgm48b2Q4h35ghn4qgSFYCWW4hOWYhBIADSJoBYdQA2U4B2m4jBQ4 zXq0bW0Ah2bwjtRhBjJyBpFAlSu/CGWgK2VwBXWoBv+VOM02BU14mJ3TTIVsq4ZtSAdXQAYxOAQx qHPNnAS6jAJv6j0HQZA8VhBb3SmGvKUFYe6G4OMK6KWnYIZCGNgGHxFJ76U/ihWDWNVySIRn7gzw Ja0OIACMswAJWF8BcqYuGIIhoAMeogM6aoAVOIIYn66w2Fz0rI/KPvB5XhOTYhjJorJh8hyBMgh1 GPHrVYeBUAQUUQEyqAH7BdwaMPHSuCJlkg3yGmfr5c4W160SHQKHoFTyQjCTgqgS9QBbeIYysvJj eKkTqIFmsKXacAZSABXiuJhdQJX/UrV6+AYYq8dheQ5iaVDkMYVTYAgJWaR3IKNxSIfZ2eeGHsJx yIf/ethpFKO8bIsHdDAHShgEKFiBaaCERYiPVKgEIxgDKiMIlQ7DCnEQhUQ9ekMQgYievEJKZqiB DmiDn0E9qG2YjGC0EcFombm/GmCmBMLDLgsgRP2AClCBFdABHdj4BVAvJRiDM/6ADKgCIxABKwBG ELAMFMgNZt8Fmel1EYnMLeU6vvyXZrDf+gCDmtEId6GwjAiCIyACWxiCG29OybJhh7EB+yuhK7IB JihFEXE4PJQMVdxGbReNAPScy4p2BEMwdoK7sUMGUziO8uEnIfiGrj0Gdejx/KuB85aGK9iF6hL6 KIeHZ6iHLi4HeHjTYVmkfRCl53iHdwB4ZQAHyOsd/yiwAShwV4RvhnIQUsjjtkOIAiLIhVzg7Xqg hFyYhlwwh27IhEoYBDFwnwYhhWSApamQBlMAw3zhK3pbEmlIhtVThpJkIYIY8ozAaI72SAYXEb5+ n76hdiLIgAvAgCjIAAnoLBC4gAYAiAYLSqQI0iWDihofUqx4AcUBiAoyJMI44SGIhQ9CZCwMoiKF CjJhEiWSVigMESIqlCFbpoaIIDJdwMgk0qUNmURdaqpI6VGlEBUeg6RUEbRJBqRCUtRgYiNIjSAe gwoJkmLpBxkptMrQGoTG1YIqFoqturRqCiJXl1pQJK9cOnX41jGRcYJIOXz4bKlTJo0rDTJDhExq Q//jI5MUKb7Fg1fusTl46d7Bw5eXmTJ8ysBZzodvnzzQzUZv26apGb9c48rVG1To0Lhm5sotSkUp VTUjYw6NoQTX3Lhq5ca5OmQNTREoZKRJY2ZL1vNduybJSnYJupldtnrZ0r6LGSlb0nopW9qmzTLM l3baBNPFZsr3RNqoeN8zIVEVNIKqHBJiBggZRMCABAgYyMECFjChwhEyWHDBCRZYEIEECywwkQUy NJBCCR7I4KFEWyn2ExSJKLLIIWaoJQ0npLwnCEpktAHGEG34YBMZ8xklVFFc1EcEF/T1lAJ99FEV BFlaXdVTF3RcQspGJ3ClmJJKLqVYCjRYpdhSRhX/tJRWYchzjjJyvUMEQSkoYgZNdNjQRFeKqcAE EbsQ8QENMugXhGOOleOYOurkFVo+yjCTD2b4vIPPN+/sI6g6zQQnqaTWmFPNNtWk0ltv1UyTCxq6 zPZpOqvBVU0138AzzjjmmJNKGGQgw8wx0thii3OyeGfLk8cU8twlk+x6ia298AhGc8xMQoaMRAwx H3wppUSfjobVsCRIKmiLAAERWLjAAeDCEO4JEtAp4UQOduCtB1uVYEGEKlhAUIZSViBiQYKoEcYk R0CR0C7T2EnEsmTIEmwiR7TxnnxQCaESUSmlZRRVap1V1sNE0DGJLW08vM0/6mgDhgUcbgVDCvZu /zXllu1iOWKWYZWQiDzKJCLJJGBYpdVSYNhCxhIZFCTnBx9hqSQN5XzzGGvyNKNIIrdiZoo27zDj DGih7fNNoJKu9rU1wf1SjTWUjJHKIFGkkks3udg2jmpMO1ZNM/U4Ntsv04TRRS/N3dq3LcLuiswx t956ieGyFGIK4mDNWKuyORJxBI3RtqHjtD3xZxVVIH1AAAIHRGDBAh1YGIHpQ7fBoUQnnFBBBwSU nPIJJdT+LrwlvKtVhlolotwRQn1kCydh9BSGIETY0sqtOAmrhiDP5lcUUDsuuSVRgtBBVBietfJP PmqloAw95yxDRgk7q/DsEOwTsYLEzg5xxPxE1P8Ahv1NeLnUfEEokYhWshKzqoBhKU1IjFYWFKcp aeVP26gH17ShjElAL1aJCAMdwECHjU3iSYY7RTqmUQ5z8KMc8YhHOarxC1ChKmzl0IUrdKEpSkxj NdZQFQSH0416DKca2jDDEJbjHVJoJzrd2ZXhemEKaehKV6Q4RS9AIoQ2MKM5siACsxgGrfhMSyWX 68lhLgaWFAwAXKazAAFMZ6EOVKAJKeCCXdJVgQh1wANdkMYuZEEGWxxDEIJIhB7BgDyYkAEMIYlJ G66lGFuQgnIqWNYQrnOdZ92KeT6xXg24sAIw6ItjiUyBNOThjHT8QxYpS0Q+tGGLdzQDjhngCzP/ mEEyJa0gDFGoQhHEIIYijKEIaiHCvsRghjBUIQxiQElYwCSilGRoZVs5wco48rIPJAYsSwELWJgW m3Rsw2nMOIUsSCEGWQhCFl2QxRFi4kc6HCEMpECGLcrhNCicIh70OGE8zLEN2cjjUq4yhzyswY9W hXAb1uiHNfq0DXMUQiayaEYskbGLXmAmPHgkYuA6OJ1b2WoXx0DDLqRBhLt0IRkVJUKs3IPFlNSA DCr44heLogIfqUUoKfAAASzEAW+V7lsDkUATavCuCjChZA8iHR2YaE5a+fEYpEiEIJihR1koTggw YhadgmADRUxCJUTQ4xBkcQftYHEShUjGJIZw/wI6FOIYyMCH9MrRj3XItQhM+IAt4kFRcMjCLmGo hzJ6IY93oE8FyPjHOcAhCngppglZKUEFPCRNxaAABR9YSNGExqURgWUidTmBCtIFTSlB815KEtEY hZAm/S2mHvkoxyBaUY53IKMZ8jiFeDYGBVMcYVmJmMQFBXEMdUyjGu8ATismUTd5oBAewHkMClkD D9eyahrNOIQIq8EP5qbwFKcIQxvCUEWJLoOIrQipKZRRxO40xxXi+Y6tnMOINsBgPuI5xiWAubCV tqFG83mWT9rwk84F4UonGIACfKrGnurpA22YVwwagBEpMcACYBhnTAApCkHsYhnlLFw5ZcGMkP/Q oSYxkwUdekIEKISht7dqaBsUYTgiCKEQIVMHP44hFGR8Qxl0TUTRFLEO5u2FIIKgBz6+Jw9BSEUR +XiHMwSRvhJwBJpDS0GIthQzLEXFpgXGUjOptJWFnFZPbnQmA6kkAy3F4xvVmE06RlMOcCBDHdUo Hh0umAgy+JHPF5QGMtIhnOC4qhx2bsZj4CGZcuTDtfKMjCYOMZzZyKMe4+AhCluhiTDUIAzMWYY0 SLGMkE6iF4nYBSnGU8Rj5BHV2rnEMZbYhgZ4rDmtkMYxwiBI/GnupZlL5LQiJhRFpuADZeypGiW0 AApshU4mc+xHbHcXZnRBFOckQiI4ORNO7nn/g7KwKk+CIoMwAFgFsrhCF1rhHFvY5BKK0A4ZKqAJ eWjDGfgIwyKbQYrMkEErtqBHX/rBDCoXAbFlUodLUTqJMCxjpC97WWI2e7Em0IAJedqPEM7ylStz RSKhFRFXyNKEe405XR3AUtIeI6jhjCMdrdBGqtSx8JHwOSaTgJEgznkKbVxqG9r4UzNQZed0/Eke 8NBGPd4Cj3g04x2Jblo/5SEoHipjCIKQRnmXyBxeMWOi3TniRkMqnrGTp+L3OwYzlsFpQZBCHooa B3jAurrVEQEqPynItTqbAgIkGHUVWgCCEOS6h+nuQR5ITIQocM5l9JHhghCFLDwsC6eSgTq7/zgk GY5wpRSQISjraycROKOMbQjiCLtohi1OQYYUqGEbuGqGKWng5Heoo5SKOcU/nOEMdUjDKmQwwxxs kYj5XO5ZR7giyj5wZmdexSpuvBhTtnSla7as4yHnipQ41IEYVEkxKal8IkS08m2UYzRxnkZt4WEL 6OkZg3uG6rK6QIrnssqE5U9hpdFRadfvEB6qisc4KEOioUM9AFRsNIM2vEYYyMIpVNEluFrgeMdG EREpcIeuiAd39AJ5EIGFEQHaKYMtsN4lNAMyKAPt5cM3hIY0VIAHYlAiCQE0jVHMeIACRIACUADg 9RQOLoAHSAgMesAF2MWGMEAJ1BcyQB4ZeP+YKVydKDThMpATVe2CEIiEiS1FFxiFYMiCTmjDOajD OihMJ1jGOqzeJMRDoMjDJGQJ+azDOcgDKVyFGgTOJUiOtCiPS00Pj+xMsVkfviiGDOphahXEYYTF Mz2TgyhGD96UDNjATJyAxR3BOfQDIxyKPIDDmZVGpkTKNLgC0T1GMxSCICycnl1Vn5ECq5zCNKRC q/BDPPBD0gFHK0JQPlgDc1VaLf7JCDnGWzzGISiDGBSSeG0HE8WSBuIKd9xKednKrYhd19mCKzAD BwJJsuxCCpyTF2JGL4TUQyXCw8jVmLxDOoDgt4VFZBFAGaHOt3hL6qQAB9BL4SWGhFAAEZD/gim0 WORZWzIgQ4j9zHRIA+aBQVgEQW/tDR1cQaxU3i7AWCu8wznAAxl8wCT8gzaowz4oAlRMQivIWOlF TA1sjLT0hFVAzC9JhUqkDEegjCKmJMih1pRkiUdYk5oliAW4TBBoBREog18cCj3sQgANgTx4gzqY ghc6Q02mQDlsgysIhzbRTTkgQ05g0B9h0FOG4imAA/qZg6WZgzqQH1aqAy0O4AnZYisyVzwkXT4d HVw0g+rdhCzMSnccA9od0Xtpx+T1wjFwR3NA4C4oAw1UwHmgHTMUgg/UgC0M1ltYBqO8A5QQwZDN yq0pw8uVpFV8wAEk2ISUTholyIWkgAKE/1YJgEEihMLqpYAFyKM0LGB4bVgoigInyULBuKZN0AF7 FMQHpMSzqECJyQQdqEFNVJ7wdUEKHEEhuBsRgEENeBWzeJWK7c+OREUNCIFzBuTmcUT34QtRcJJa uBE2QYWWNEVU0MAHKEJf8EWhdICDkME/iJIt4IM8SEPJyAARaAMUqYGhSAMMpgA6uIpwfIOlNQP5 vcMlBNdV6cSe9dlVyUonogprbEM8VFo5aEMzLF2lfcM4mKFxfUOmkILM0QEU7IQ5yYgoVJF0yOVe fh2gfQczwNNbKgOo7Rsz1EAHtAEXVJE0dJUP8IVc5IM8bJc8tCeRLMo7MGSgnMMzCAIhLv/YGVkI AcRA6ZTMAjCBhMVCLdSCKehOBJgm5RFRItDBc0BVHpHBMUCHCiQCrRgSESSGLNzaU5VIIb1HIWHR EWSRIDDJw7yUCswpjc2UxaAA/lTML71U5/QamNhLV5AZyB2BJgQoSPAMlwzJsN0UMyBZM0QiMxRV WijDIexCIkARHVAZC5bDOXxDK8CDZ6xOCtQDOuCDOTxDPZRG0JXDLojEH7FfFxToxmiPHy0gojEN cIzD/r1Dg8bDPpzQsO4DUD5QM8Rpiy0MTQSRIKxAW/qNLTgDrghLLGlHMrDXXWoHrUhDMqiXMhSb ECCLeqxBIQTREexEB+3bOyTCS+2o1I3/iRc6JEiM2bGhIw+Ci4VAkwJwiAUkwpSKApReKRGIQTKA oiYEjun1wh/dygLKGBGEqCxVxUfQpzqcQnEeZLTIRBekq3FSi1cRSW16FfXkad1BDJ5SRR6C5O6E SJopRhdoR/jJwDUtyfRdiQyIZytETR51hQXgBZQVJj2AwxJwCBGkYD9IQxvKQxdoBX8CFAQV4Dao QyscUyKoQRcIghLUKp/xGR3EBJ9JwzQU1zh0A92wCkCx4j5sV4MqGnOV0FZKg3LIRNfuhEzACKs9 oHQcY3gYjjLoyi5Qq67EkkWRh3mgh3rQARa9h2wep1GkxBd02iSQAicwQ1y8wzesHlRU/4AFHMCx WYgFIEAFXMAHRMBVEICz2IAeGUwGfAACgEARzAEKOAt0Xk5K0AROZJgYCEGIJkMhkQUdtII6KALn 5SqK5VzH2m4XeETCgawXFYXH2Cm1TExQeASXRAX90MTQ8CHLOAvtfgXn2OxUjFQDyIIzKAMpaMM3 rIMMUJkK1EM/nEMvxIPApQkRwAM93NY6qAM4ACQRsCJzLZ05uJkr1BsINkeouSYgVZ7BnBMpHIIr WEM1mG0K1ZCiCWuPsmLS4YP+BSs9lEMrfGhMzITdAhIjGQ7DFUIh7IKMXcIDikKmLmMvXCCxbMex JEtX4UjmDQGN4A8XqYWWoIAMPGeORP+fYnQLB0zMCqyADhTBChzACXDBAIjELkmED7yACOxAFZhB FNhPDWiO8ijC5VyOS+EElx7DMhSQ0YSBMnjDJNTAVSFOwGiQIIBirOQptZhpfUxRrxnJlZwsjnCQ UXTPkymDaHGFh4jZw8UMDViTl9SAligGE6wB+JTJXHRFBdRAPqBDP5zCk50DE3SJGlCQStEAfSzG CX2Dd7FGovXDOHCCNJyCOpzDY+BknKGvMjRDCE2DOUhwN4yDNZQlVvZoPYDGdtWDPcUFMafgIWQR 3d5tGIRBwsrYKSADFLkCFJ0C89hCpg6njOHKcyxO4xAJGEBODnNs8dFIFwyBfEBv9RT/xC+lQAaA AAi8QBgUQhHwwA6EwAoISFoowBCQ2xAUWxEUwQuEwAisgJilSwrkmZf1xAlEQSGogRoUgiLsCx2k AEaCQxpiWxcUgnvNMMEccMLVoa/xx45ITH8dnyzchzrs4j8wA0iQgf6BwzLAgF18ADTZhbtEUwrA ydA86lTgnVVIgI05zUunA5YQgRlMwhwUJ41xlmK0QS9MwiAuBT98gyZY1yk0Q2OYIQiTwq+8tNMU gjpwjciwSjPUkARXQ3B0g6CMQyrUAz/swz6YZYPGKzwonTWoQ7rKBE3YLVWxVUKysC38ii18M24x jzI0oAQ6ERRJERVZ0fclp3/ZrkqY/+kLUgt0EgVT1MAL2MAK1EANVEADIMBpm44MBMEAEEEFVMAH eEDRNEAGNAADwDZkiRa81E6YyQmOyNghoEEbVMAeaUMaUiF1xOG/qAF3qJ5K2ABopQV/yEQiFMIV 3ek37EM6bI2A3WTurQM9SMNVQAHX9A2VidnsFE2xXdZpPTJYQLLFECIdcBXuEoFjDfUR9ML2hEUg PsxmLcY0QPA2pOIpjAOGhiMyIINstRw8WEMq1FbQwY1be0oqYOVjpMIp9LIxFytZfgPSTaha2sIC lsjcPjMFTYJZTQdXHfZhs7AsyJiMCUt3rPApHIMr2CQYVBEzhMEVYBHd4k87u7NKPP/nUnxxGLUu AkQAAUiA6UjA6FCABbCRDAyAYlgE50ZIBFAIh3jAu3C5RECWpx6iknTBQQ5BQlRjLxi3EOzE8SnC kwxfGPDKafYEMzCPOiCDSqgBvTXDPzSDlgwBPziDNIySSqwECK+nLejJETxoLHFIAF0YManBMUl6 GCgBx4TBMGV6GKhBEXQZjVXTTPfbw2nFfvShIiuJlp0QOgRHMOdTbEyDGbRCoI2GamgD3MD6m6GN DLk1P1SDOrjCcODTPuBD0rmiqma10hQdBMlDOsCDOjgDKRxDM4ADTm7dGnAzx6ywWQWLGoh1QjID 4tyKIiiRKZiCD2iLCtSKNBxnBzz/80p1wXG+B/6gQExVz1d8xAcwwAHEAJNTwJNLiAV4hAK49l0p xms3wIC0WPu8j1p8MZawkRB0gAR4X6x0wVIwQQZwaTlMgg0QkhjUqC3QwRAoAW71QhgIwRDEA5Q9 gzIQgSIUcBZ8QS8gw1V0wTOAwy7AgzeYqjf8wzpow1ydAMrHQ+5VaglcwMhpywrYAAaowArch1Fk QEossQ2ogA1MTN1dhd41QYdEU5UsBFJw/QKJyMSlwC6mUAHGRirgRipYFwl6jQ1N2mpgyqXYzYOO Rj0U87BuF9vWYtLxkCvwUDlYw0RerB4pQz7kwzpg7pjsnsj0AjZ/U+qJmhgkZCJo/8IunEJaEYEG nDu6q7sOd+w699d/6bHJXmFKQKf9KMbfnUADxGNpWkAFgAUBrMwcGTQUvMAMiMGkwFwzuMI2QGYr tMIhaII0KIIKM0sW0ciVkEEh4IMm2BGzHAOZJOBXJdcpuCsRvAMn2IIyzKH6DoM26AEdnENQgEGD KkNDrp4QtEI8TKRmQOcQ9IKMHUMQQmlXjEV7Rzc11evLAISQFEKCqBBog0kKGTJSKGyY4oPDFCoi PnxIY2DGFBirbavWrOM2SuN+ialWLl21cSvNlVtZrlo8eObMVTMX72Y8eTLj4dspjx/QnzrryatX Tt5KeenelfumTZqaLsz2yXN2Tv+ePHDn8uVTp8iWsqry1L1Lhw/ZuWbMWinrpcwWPnwqtJk5pegI nSNkiHQh02YIGCJtjoQRFFiF4MRBiDBWYXBjjRQcFkiwYKECBQsRLldQOIBIBRkdKhSpwoOHiCKZ Frla1CqVq9iuaNemnaqVpkJqyHQhArmNrXKTMpAJ06UXv3X4JhERk0+bul0qhqhTp+xcbk6chHEy 0+sdDRV0gipbt67Nb1m7Jl06MqdLkCOBJ+2CUeFDEwkLPyyUmIIJihiSASOBUmhCPCEgU+gEiQZU AaOMgkghiAibsEhBA4XYRptyWtpmnG5+qaaQEU8yxxpz5KnppHFgOsoceOAph0b/efaJhx8cgdKR nxyNMuqbeOrBp6hmysknHnVOCQMMcLJyRp2svFEnnm++uWQSZuLZB551kPIGH2/6KUcZZk7BRxG5 JpHnTFtOMUOWScJIpIsjwBiCiN/Sa0OFwfrMkzHGMnxogUIruCyCCDrQjAIZPgBtCQsaSGEH1EQQ oYc7FsnEtUw68ZTTRYRpbZFSF6FEk+PyTCgFMhQB54q+yKDDFnWis0UFTfBRp59ChBjiSXjMZEQY TxhxhZFe8hzCjElkUaMNPtvwYQg1FOFTiN/yFIwhiBoSzSEVZBCI3I0mVJAGx5rIoAkbmhBoQgob GlChbmnoVqJyHxJoxaRoNGec/2pyqaaabggex6OTYGpmnFzMeUanm2b8saqqdLKYnn2QgqcoePrt Jp1dpmnFmVZsoZOZd77ZKqut+pGnHFImUeZleZTBZ8Yov8GnFWni2kWuRHoqxJV8lJmkFVudQUYZ nyeZRI0jiFCsjYaIaEiFIGrQ2sAOCrWgBEY5o6DBFBSgKIiFdLCCByt6sCKTOzzJRJNSOzHVFTRY 42QRTRc5RI0w8pxXhUR6I8I4Miah4xI6yDDOLWRkqYGIcsBhxhZXFNlckVYYOYZyFdIbwpYuasi2 TyHSS0GwPFdIL2uHYHBIhhPwDdDAjSgUr0DI1pUXX3qFr5ehhGSwYN6NyNWpnP8ZuxmnpoTh6caa g61xaZzqjZSxnm9m7L6of3zUSad/dLKlqKB0WnHGcawrZx1FBAEDGbKkcWYddWxZRxttjk6kVtFR RjPKgh3rIKMXbrKFLRSnjUmYwRb0eBYp/vENW+VDHs34Bj++IQsiTKIsJINLK05xiSIIwgyJCANf JLCAy5zgMpoBG/JkQACBeKACJcjABz5wgQyowAZmCEMYlBCGSYjBWoUwAyUuoQgxmAENhziEK5Dh ClsYkS98MUifBLFCxT0ODI97mhanVggiXKIXZlCDGoowCUWkQFvaMshvtlaDPgUBDH3602BolwIP 2K5b/vlPuiCUEYFA5o4psAD/vjQigxr4BQyCUAMDuwUGbaxDGbvAyjom5BVlbGMb06iGOsRgDnWg 4xv1yEc36oGOGanEFemgETzGgY563Mhj+ODHOeJhPnyULx5ICkpQ6gEPDhalHOrYRj7OkQ5FkKIL TjJaVr7RzKqcg07p4Ao+mnGOd7xDGe/QxucWyAwyKQN/VZCFLeRRCDKcQh70yF9PmpGVo/2FLOH8 RtLe0YohXEJF8miFLCLgwgtYQIaaOWgKKqCAq50gBiXwTAWY4IGIGEYQGT1CIgRBhoyqMAyOC8Mh ptGMZiAjDCScxiG6MIZjFKKjdPAiGcDgF78MYS+/6cKfyNCJcXKCEd5QhIL8/5SnxuypL13AExHw pDoUEKEGjrLdvGonkQltiwgCOR0c55ihxkCoGcpoGj7yYYsSMKEBSvjHP5yhDHn8YxclmBAZyOIM W3xTGWBIQZK0YUpdVMMVZ4qHTMpRFIkh5SjNq9FgM/YjoLwsKP/YST90gox07ORGQkmsOdxECoad 4rLxWMdb/3EWevRDG4KQRSv6sQ18pANM8PuGPN7hClkoARzeeId1pGMGRaSDTmFhRiF2gYxm7CId zcBHIlAgiHx+A5zqKGsNJqHbd/TiCi6UIQMSKlE/LoAIyIuIDESDwwa1IRFDIMMR/OLRx3W0o2E4 hUnTMd/5mhQZihggPAR3hP8udvFxNu0NX34jmBUY5xOK0AMjhnEEyukpjjYQwiQIqI1tqIo6eVIB hapagqr6p1sTvoQm9BovcmWtMb8RSOX6IZ188IMZFvgAE9pAj131QrK26BYRtOEMaUxigccgyDHz 0Yx8oGNHgwVKKuUhI/LdqLA74Qc9cuQxHFn5xZPFkfqk3OTCbtCCaCjENlIBWCI8FQVkgILhwgIX mYLjG5T9pWTV4ctWkEIQdVbHlJzBCVKQIh9FOII0gqLMXSEDSsuAgmCaZgZpZFIZDiRCGF77jStu xgIMUEEJMFMCBihSCBYAbwnKBtHRMOiDsjjCJBIhCyisEMCKM246lGHcViT/FxnT0IZJT0oHFRhn EprYhTsf58Uu7NTAd6rBGp5BjG8wggg+4FNRB7csGxQiHelwJzJagYxD+EwIMGRICeo1VVbRoRCy 0KvyUKzHFR+SK+rohWuV4eEMrFYZikgEM5CRiEWegAg9a8Uk2nqOqlF5J4PlR1F0snCOrUQd5chR Zo9i5YSfYhzwSJJQchSUZG5wH2eJhzJOgYxvkOIUFTfHNChxCCjYwAZqIMIK6DSEIfyqBktdgVET UQRZFOItmQxDIdYRj3PE+RC1ZecxVrCLfxhNugLFx5gkEYQuyEMbzFCHMxTBDGVcQgWCQOBd6MAZ sJ0AhpfhdINEvWHyHk+R/2DrjwqUoQ5ZkEkuBrT7ECYx32mog9enIIUtmlFSXMtKhZ2QRTOaEwZl DN6DsKspU4/ACWTJPE/TfswcHyOEDBRi14dARjlMCg9ak8ECQZjqh/MVhkvAVAgJ+g1jBpKYiQjE Flx/58lwKItvmIcZpMiKNHYsD+i2Yrfv+EIQ8rEPKv+DHsxTx8RoVI3kPtljNIryYJshhmmkgoDk Q2YqSjqOrEQcZjCDRyFGrw0XHUIMuShCBfQYhIMCnCIfUK/oitAb9d58j/jkdPpCDZghHbgOGaTG Fr4BOk7JKxjwHfgCDOQBk85BWI7EFiYtHyzIFo6AAyKAAkrgoDQjMy4jBf8oYAGEgLyYQAK8haFO ICL25xLWwRnSQR2YwRneAU0IYxKQ4RROoRAK4RRsAWqYphnSAR6UoU8e58+G0IyALHMuIQyIatqY yoxq76uYqqPWQ3CGbkYMb9cKL6yagRSuZnjyhauyKkM2TAgQQlsEpSFa4RzOgZ0saH7aQh1uTB76 gRlkICFqAClu0DrwoQtS4LTiKSuQYhya4SiO4hTiwSWawco4Jpmconv4gfQKbxrKARKVyUWA8BDS geHW5yjGYbOgByaqwQygoAhWoAY+gP5UwDM2rwEwA9Ms4NfwRAVOAAV0kQ6goC9uBi7mo098wwYm bRLmACxKB3HSwX+ODjv/6OEY7m22vqILJIADLOMyEOqFUs9riKBBJCAGwCYFPMwCbKcX0qFWmGFX zOMcpKMvQoovwsBNOqIaag1paI25hsiN3IhOyMAWwGISyCDDZKVPMrACiAAewOEvKucfrOMfpCEF lOAj6EsT5yu5wEEdpGFCqkoiWKUhcodctGYgAmUIaC8FnOEfFtFGMggZCkE44KcVcmQdLAAjiKBM iBBLPEgIoC8eXmaWUEJFksRDYmQo4+HWdCJIhMQcmiJgIJEMD8H6bMIc0sH8lGywvsFFAI9GINFD muEHdSMIFcGI5IthwPIQCgEYh0AMhgAKxOMxaEA8GCpCmIFN1AAKyMCO/zSgT0InjuZoPihnqcgA T2pAFOiANzYMM1KgDRgAbBpg7YJAUSTDA1Kg1UTDIy1AEBwnEYBsF+KkPRwHcbrgEI4QLE1GODxC mZrBN8ToFDTBFohtCInwCIJAG5YiSq7mEmBoCCSLDACunrjtHXbhBIbgFLbhCD8iuabBFRbxuNyu bAJpIADlQEKSDafTIE6HJFPgElyBGfIxrE7BJZLJthIhPSqEQqCKCHYhESSjaiiLsmCmHDSBSpDE HLpH+xjuH6qyHvhhH+qhGbahHApBE9IhH2LEQ6whHRYB/FAiHYLCyvbB/AqreWZC+zrCFUhhDaRB EYxwgIzE+txPK03KFf9ISBsUASbTshCkQQzCYAhWwGaiYD5waqlqdAhSAAXgiKke4wIYCWt2Mc1c 1DjCQAYo4AJIjdwyYFGIoARmjAiOQAaawDOqqi8QBwwWaDDoYAjooA38YhlM6jpc4RggqPRiSRmG iBTUYBJcYRdcYRK6gFbugAjbIAjgCZ3GoQvUoBmIIAIqILnIAI5IoRx6wUl64THMAGBcoXkK4Wk6 RBGlQRAcRCKoY0ISYRe2BiMEZQgAjgZWrBjVAOVoBPDKIuLKYRusgxmuJgVsIFDIJQOYQAg+gAhO i3loxBtyhEhoJLE0jigSzijUoRCmwSpbwhzwwUN2oiVMryW6jOGY9Sj/5MEaEOYjwmAFTCcFduGk lEGW0gE5CQYmUoEZZAHlwkoZXKEZtMEV0NUV2M8rus1kCDQ2C+EQzECI+m8IhmhGj2Dn6ICphmDz VMCOKMJqtlEzGKAEuOAASsDtPEDtJIDcyE0G+gQwwIBiwYBLa2ovukAMwrV/3mEbaCmZ3A9Mq2FJ FtAczkEZPug6tKED6W4twOEdrgYMIiAAaoAe5CEMsmYb/sE88EEaKhNRSQ8pfpCKAA8cRKFewIV2 xuVqaEBxYo/zCCKr3CVb1KMavqG+yiE6zlUd2uII9SdtLKJABiJBVKAfou8n6sF8zqEeqkEevGGW NC5ts2LKSDYXQuSX/76HY4qiHgZLJoAisxqOfJSMJlQCRFohYIDtFLQVREwKYWxlQCvABmpAEMSK DNUApyYBJhVhEqphF8DCcts0sGRjEaqnGqJAE35QEYZQFootCPMSX0PDFi+DuxCK02qAAyqACxTp A06gIFSsRz/A6qZmMGgKTwKsN8AAMPpOE3ZtgRw1mbpWG0gWHvDhHJgBDMKAHpxCG9KDtdCPDGTA ja6GHv5hEhijFSjwFG6wWkDrCJeGHhe3GTZ0CO5DkBgJXToyBbZmxbSGBli1bNclDLSNDAI0OsrB x9yJE9QBHE5hEoQAVtdQCMhla35yR/4BHSooKeJhHCARH6pBbpOEyf924hs20SgUSyc+4sua9Se3 pON2JLNaQpk6wv20Dyzvy0WSs1vLQRHmQGpIR6zCgKtUwFqI4AO0oRAq4AjE6kyNQwhTgSQGRnOa oWcUAXP7pBDAMgz2YghMxwM4I4cuAAYQ6lBSbwEilkqHTl4LIWdD8tj4og0CDDB6Y4gQR03vMRFm gAxIQRmSaRtagUnAYAxMYYvxJAx2qxyQwV+VwYLw4Rt8oxWm44iviHLIQE05t+SYM1ttAXMVwUje ARmyrgtkAGKpSiEgY4KrUzIIAlOZQMIKbHG3tnnC8DoIzwZbIaMAlV0ewyJCkgaA6R/w4R+Kwhpc SUiYbEu2JEZ81Qb/B8saZoJj+MHJfoThbqQfXlhI0vYbeDhduVJkTYrkZGk8tQ8evsEcQgkm3YIT pKEQxIAUxnIMiADwJi2d26oVmJNg7LEaVlcazOBwlEpzJyGP+mQIaKAED4W8LOACmADtiMCFwLEh jFOKUkGK3Elii7d4OVcRHi08bWEaIk0drAhFEyHitpkZhmgXTqEXDoFzw0ATUlcZBg5UOVcQ2kC8 FkAFLmGpNGySeA2/4EIZti2sDuEU1gEZzhd5ILYyGYIGiCDEUBmONqKQxpYIZIoM5MMswaEZ3uEQ ZEHYmHEI0iNP2uMS+I0ZaLDOgullJMsoPIbhZoR8fEI+dyThygEf/1yBY36kV+vhPndCsiyYFDlR ++7razvkHcCS11aiI0S1eQDvFFohmX5rG3brG3iW4MrBG7RBEyKtLbCC9AgmYTziLnahF6qhLe7M ZCAILHZjw3oXIrpRAnLIoUvgarTGOUghFU4hFXY7t8dhfeerTD668FyhRcB5cXmrj7c54ppCHarB FlKXhDSB/FJBG0oqLY3ITpiKDrSBN/hCF8U6DJjmB4UQnM+U5GRBG7zHOhSB08pRNEiNIeLlQuIb Izq1MQawavHEL1aoEEJWHTBJrKJuD5UhIY4AYm4Wg4Sil4IJgykLHt6Bg7bPRi5GJ6YvSMznGz6i 43QCHfKB4ZDJHP9uhHyGQkXwk4Dk94DlQUBzu6Q8Yhu4VZxNVUnS4Rm0gRRawX92QWs5eRtsITpI wRni4RLcCh2agbjLDJSqoX8OIXPK4veArsnTgRHOFCMqoIzLuNMswKHlBY6goBAUITbKTBsGhvy6 Fh/AybKOkOQI76SaISAD0ohkIQxsRR2Sq8eG8BSm4RSOvLo/tBkOgcDuNQy2QfCcSMOgiqDvVQjv GfDqq0NTodbU9FT/Ozp4Kw/BoRWs167zsJHLGR/2YWdAnfrSb0VK1cLhAcF1oh8IfH/BwSloa0Z8 oh/O4R/2wRwoC0mGRJVkAmubJyuIorJ7AhLHoRDgIXBvhJiMoif/OLFXYeYdOAYf3IeKBYiAHLkj AmYRSirikFNr7fE6LFBmpGGdXUE6ioDv3MIVpCFpFGEXVmIkHCaDGMY50QAcGKHOGYEU1KgX1IET zEQJNmwcD4UJDsoxg6AC2mAASqALhOCRwkAMSjNdOwGf0TWm0wHAW+GkQqrv6i7SjFAWikBNGbgZ GAGUSc6kjhP8QpqKjetcSWQICiEVBHQ1gfXVnPg4aWTXFldoBVQS/4WA5OEc7BqzsaKa2sp7HHmb 9+FAid5jfsQngl6cR8kpmmccnv1W99A/1yFKP8AVxgRndkabfnKDMGhwO7wn0MEZlcGtfyIo5AEd urJ5kplu23pI/6S5yXpE2fthg/qlEqO3rz5WQAGrJcBUhhUGORfQZjYHGZhBGq7WZ/wn62zBZDTX B6c3RnKBYf7lHYDw0fr9Clo3pZjhEE76ajasISQA7c5xkVRgAQLF4VGu/HjNE51R3ctkceECIBeX 5cHhkkgOHMahf5ohB8NgDujRpD6iIpPLcu3c23wqJFYCJLZaHZ7hwfunI0ACOY3ESMZzt7ThHVbi G1zLrrdZLuwyK8q5ybwhK9a/KDBLJ2ZE+wR0HIz1GayhyYp1S2ZdrmqgF6ykegECnrpz6uTJ4ycP Xzx66ZqhOxgvHjx52mypi6euIMJ4CMtNrHdQ3seQ5eTFy8cvpf+8fvH6gdy40SS8b9vgeTNXLue2 cdq0pVuXs5y6ct/KNWumiJQ8dcreVbSV750mW8oKTZJ2ypm6Vs1aTXNVrVqzd+Nw5hx36lSrdfBO yVpDqtA6ZdJIJUqRooKMCilKWLBQoUQFC20GgFExpNCpVIzFHk23c9s2ZQXlUf7WT5mgQoVstWqo TZ02ZcqONusJzm2RSYtPBQubLjTpo9vKgR43jmjOsOV6bnvXLPLQZuWqQU5nNKjQcttCEx2oDh4+ isjwlTwHb6ZIg+XimTSYsbg2ocSH5qyXLye+bUPxvSshhIam0Bmhf4sYb9/DeNqqyaunjUHe9UaQ NuCYxE8/IcH/ww9HE+0zkXcIvdRSPP9AxFKE33kXTz3fTKRcTuo0owx96vw2EzzNSNOMPCQyZYst S9miiC2XFKJOL8qcQ9k7rozTTTXbEDdTTuOtg4w2PKpRV1Ok9RJGfCl8kIIMF6jwl14VEDGAEIJ0 sVguueUkUG0ijoaQOuuYxAwZgqhBymOmNaRMQ+ogw4k0ipBRyCFHVeObK/QpI5Rkfyp3InO9lTOO U4U2M05tQ+bUDGRDfRObbe+cmJFW6jDTyzYEQTfUqKMOJZpzQW2nW0ndWCfiQEIEUcN8BRL0DXAi 8tOqWGFUWmJGp4Umzz4C/ofsRPBwiGyDCLHUj0r7cMRRSCCB/9RdPNbwA89uotE53mjEySPUKe/I Aw5pzrSiiGin6EjaN8poZYtWjJaDTnfd1RNPUUw1JW8Y0lDVyyRqTELEYBJE8BcBHnRgwV4lqMAB EV0klgtvD+lmjjznlKPMKefgo0wr7+xjSxBkgEkZeQ0RZ9ponNgSlzKpQPqnaEypiltwQhUJqJDL 0SfWOM1UY7TRyAnZXKai9ZbROe+cQ5At7lGtzjf4YCfPN133m49J33iYE7nwdJxdUdx5pPU7XKRQ QyHehPZNfepQMsY02iDDWlrmpHJKNSGHps066ahzrkf19APPO8pk99830+6DUOWVmwRthfyM/Z93 2M7EK6XNeP+WbjMjj46MQS4CZVkvMDKTUY2kKUNyibaYLhS5IMMDTle2SFMIM8owkw4zXVxiiyxE /MV8YB7YEmUKWJ6QggeFdZGOK9tUE1Q85WAb+TngJMXMJSWuU4gahSAzJ6TjDWV0pUeBzL4tpwQX GnvN9CLN7KeUlpN3FKVbzBkKfcbRNXKRKyIm8U4+QKI6dCjkWMUyCD4m0o9yXMhr+YjOd4pFk6Eg pxwfi843xmGddyxHhe+YyDnAkIIgrEEbzhBK1tLxjVzkohv1UMciFnEISiimGSNi35lE+I5WqKMe ymBNs77DD2NZznIH+cY/zKEgjtTjgmf7Tz3qMQ5+lAVknpn/FzhKogxbMINch6tGRlpRMmfU5Rnq SIYilAEOZ1BEHc6giknyUY1+yAKOpAEDiY6hImQ4I42ncIUtwlKyS+jJFq7oRSukoYQwWIAMZEgB GQYgDUGdhnvPkI5HhPIjW6whEUcYwhHIQApFXIIUomyIKyrVGxKpMHvpSIcMVECaBggMGSU7RYw6 E6NJKCMMglCCLBThODBMo4RKEgp29rE4ZVxCCGAgAhFOQIQPCAEFeDlBEKiUAgvAoAF++YsEOhCB ATShAq74h9ZascaSSOiPz8BHRrxxjmekwxuxWYczzrGOwinJcExYAA3oUI5nKOg/YcuEDr8yjlyk ohyHOAWl/7QxDQRuIx2tMGI6ELg5EWXnJQb5R7VCcrl44IMl+ekXSLzTxYiMI23KuKMz8kgQcPTC IgMJDUFm945eVKePu9AKQc4hm6bko0C2mMQudnEMMtgiEVadzS27ognS9KQcguqJK9SxhiEIAQRq OIUKjhGANSCjkdz7WDnMcY5GmcYVyugYQbqREckApyFJEwIcw+CBQkzjKKEhAh2UQQpZ7IMIpMAH SclAolZQZR3nkAUduqCCFPyOCCqQxUyoRh58eKMfzOjAAjgQAdjGgAB7sUAHBCMDv8gAbjEMbRDw EgQi1IAGC5DG5hy3kpb8gx//oMc//uENdQxDGMIYxjCcgf9dZ6xjHWrS7jqY0Y8MxEAFbWAEU+jE DGRUohKUQAMlrFENa5QjFdU4xSGQIajvDVAkHAKRPBpikIlAZB8KahBMLRSSCkFEIhJ5ByXGYxZ4 VKQ0W5nEJFphTG0U5RzNgers5gUjRYDjHOTaWo6UsY6xcLcX5pOGOoRAFWcoUk6mEY0om+EKTZhB DVe4gyb0oAIzFOEKagAluzShCDWYQRSC4oqg1NGJ06CKoJL52OgOoQjFqIEBnkmLWhhLQ1so4QhQ SEEEFjAlvIBBAnhZQAf2kghpXIEM8yIFHdBQp0UuMmv9UIcMDCBaMNhCEEXoJhjCsAtOksJNVbUF GTxLhkn/aJUOi66BB2yQj37gAxm2GGqNqqoIC7cCqt4ghjcY4Q1vaMWgBlVTU9YhiQ84YxKJUEOt BSGLKlxivbmgRD3McYpMFEIMYoBCGEhRjWUdZCPM8l46+JEKdfADggiZlkwm5x2WbIQlJoEgtppx CMXcT7ONhGMqdqEIvpaMsV3RBon+1wo4YngqzvCJALXho4qAw7yLFMVRJTCJPeukOQPPCXK2pwlO uOIXkkkFJ1qh8FMsoBDOWIQmNHEKRczQFa24uCZS0QoxaKITPTlNK1yhFkWY4RCcqII0olAId0u5 GYUIgzYsqQwoKEERYTgCab1pMCJ005ucnMQlwkCGtfSc/w53HF2MWgGPfvRCARw4wSQsQAcVPLoD HgDDIb4Jhg5UoJNkWEANwhCEIZABDBGAYQca4AFtYGQSNFABDWrwWyI0oQZDoEyJnuqpVnOXu2oq ngycMRll8NUVrljkL3KRCUpUYxFRWIERDiGGRo7pjCKZSIOMNSDQwXT0yvrPRQ4ckgaCyCjN+EVa NHEI2KcFcJmwBcYbeb9bpgL2WQ63GczQp+AXQhGn+D3xiX8KTnciZJlVhLznvYhUdCL2qeDrY1wh jOr/Qhva2wbjT2OLAxBHG5Ip/za+EZxqaI88N+bEURhf/RNpoxOy+AW7xWKGMMCxJ+o4q6BA7nHT oAmZlP9kSBcGakAGQ/A/ZGBs+rcOanEKWbMPu+BmH2ALQ2B003AEBEABRNAMQ1cCMkBak9ABYEAH NQAGFmYBMOQXKvAM/6AOdABDVZICdVcDKgAG7TIHu2BMVaUjtrALsWQK0rALzKBGzAAGfERDztAM 2EVD1tANi6BD1kAJlXBRHaNfSNcStiFgEHQeDMIgJmFtHnItdfMOCOFS+WBtl4MTIxIW0scYGsUY sXdxhxB7d2hfQKQJ7XUIaGCHftiHfagYZmBfnGGHhWAFhWAGmjAJinB7i3AKi+Bjdxh79qUJhRBL lliJaYF8CbcLAbALJ+cKnXAKmvB9zVB9rpCKIAc4YIH/iqqoPdUgDO5Gcs2wGNpTGj0Rb87XCovA eK/BeLLYH0xhGtBzBF3QCpYxIo9TFOlRE/3gDK7lSRbgTWAADm0AN9LgTYVABDTQBURwdXQQBkRg C0JwBG2QCMuzJd5xDlZlMI1YCDdiC0cQiocmC5yUCEiXj3RABnTgj5LmjszACJdABkVABmogCzsW FkHyC9XQDfD1C4sgBoWwCEUgDWTwK+XADM1gLN0iD+hwOB+iO6AHeiaRDmLAbSHhUhUyhiLRHd9g Dq5wCKlgh6UYRHcQRGgAiDrZhzo5BiuHBmYQlIOgk0E5BmigiIogBjoplEx5lEwZlEJpBmMgBr8X lEHZ/4fAZwZVIAZVIJVY6Yc4WQULYJOyR4qlCDitkAqkAYkglxYY5ouR2HF1OA1wxAnVh3vagGS2 R3zsgpe2eHLKIAyNRExdQQqlWCfCcBRpwUil0TUTWAIREARi9wEUIAMyYAF+kQInIAOc+U4nABgy QCUeEJpUQgfbcCHyYAttxXiiyAgnJwx9xBSLZEYo1oRm9FPrgDDMoCdqYT+cAA5qECTTECQP6ZDp sAitIAJ7oQ30ADLqgBvwkBuUw1z0sA/pwC9kcS4gsQ/0oAYRQAT8gA/O0gxhcCHjYAvxcArjEBH4 YA6KMASuUAU6EAZ9gpSSeAiLQAl3kAl7eAp86IeL4P9efgiVRzkIWUmIQnkIRrByRmCUSMmgRRmW 7VWgK5cJ+ckJFhd5lmhxYsAJRcBlPIkGinCHsNcKSFmTh9gKdsgJJFp7eFiKhWCLipAJi9FxGNYJ 7HM/p6E3/2N9RJQopjENJXMnpUhSOGYaIoEP/7A1jbgLstBpPjo7o5EOzjAOGTE1XtNSLZUP9DAd MVgEYbAGh6AGRfACV1AEwNcLc5AIVwUGx9CmoVYIu3AJfFQg70BHNBRvjDcQ5LINQWIO5gAk1ZAx 1kAHDZABVHEEHiABFXACKkAEkaYILGIeAmYQ9UA58kAPhWADK5APhQAF+NATQ1AO9BAGBHAEEnAK /6D/CNXwD0fAACGQASqQASCgAiBQqyCgASAQAkVQBFFQBFVQBYEIRPhJCfbFCZTQk0hZla6gk1aw lE8pon0orc9KbGggBj8JlRJaBXdQlE2JBkdAAXWIBrC3h5pAoH2IrlLZhytqh7HHrOlaCK7QJyS6 opowCJwgBiSaFh31ligXMiGjCV1hMzGjDju6CNoAgX4CQQbRnf3QXM0Fsf8Asf2wDxdCsfTQD/SA Etb2Qa+SD/FwDoporoq4BmYgBmswH/14BJJGB29yCZIWs97AXSPDP4qQZUl2BzOjDWfDKN2AG/DV Dd2wDcKQCRegBoJjC0WQAUIwBGAABc1QmQyQAg2Q9hcfUAEM0AAdgAL/UA4q8AEZ4AEZMAQpIAFi QATVQARqUA4agAAIQAA10AwS0ABmwAAEcABviwARgAAN0ABh6wAZ8AEgcAGCi6gZEAIrkAErAAVQ EKxicAhHKaACWqL5eQeUS6A6CaBo4KBooK1TeZV+aAWZIKF30Lmeq7lDYAF/2F7eypOu67ngCoiQ CK/4CYjUh64s11FYNgYrSqL1CqPhRod2eIn+Sn6zp5aqiIrNwDmplxBdkw67QB+jkRn2g2J4pCbq EDYRtL0i8XrVtwi2EHuccAitoA3CUxrCc76KtJGMsA5Tow7gsA2eAXGOWIdrYAsBAQA7 ------=_NextPart_000_0000_01C709CD.643C2F40 Content-Type: image/gif Content-Transfer-Encoding: base64 Content-Location: http://www.intmed.mcw.edu/images/MCWGIMbar.gif R0lGODlh/QAZAPEAAP///////wBSSgAAACH+HWNsaXAyZ2lmIHYuMC40IGJ5IFl2ZXMgUGlndWV0 ACH5BAEAAAAALAAAAAD9ABkAAAL/hI+py+0Po5y02ouz3rz7D4biSJbmiabqJ7RHC8fyTNf2jef6 LiP8DwwKh7EXjNIzEJfMptDnjEqnLmXyMTNSt1wgtAsO17RFB40sToe/6jYXfWSMre76lG3PL+Fx xRzgNdYHWFUoQBdneKhFmFXF94PXWDaYuKhYhkg3aUl5+djIaZhwZbNgiqiT+rk5SrhqFQswwCoq GyXJadRai6kYClya5Ep7m+nbd+P356Vp7PlsaSw7uSs6lAsc7Yq8+rmobfs67hqO/KhMyhxpvd37 LU0+QD3ujo3mow5LDn+++aIOmjx64OyBS4fnWKSCgNxNEwdlGsNa3pqlapiPn8BuzxiDuZi4LyK/ jkoICvsD6eBClQ5HiuPGCt27JpJktoS58ZfNl+9i7TynEmXFoDtCxcviEimxmB9xMqnZdObRfjN5 Heo01UCxV0emIr02aGhKQUq/Jb1a9mHUnDTxndF49tozq55ySkwLduypt2BNva0EKiHOL3LrDS3q tmzBsCnZ0MU6mNHfiQr5BjypJ/OTsZo7r7N8OZnn0ao4kyYNCQvm06wz9W09mk+E1bBZC64dO+Rs mbhb3+6tmcyK4cSLGz+OPLny5cybO38OPTqHAgA7 ------=_NextPart_000_0000_01C709CD.643C2F40 Content-Type: image/jpeg Content-Transfer-Encoding: base64 Content-Location: http://www.intmed.mcw.edu/images/mcw_bgr.jpg /9j/4AAQSkZJRgABAQEASABIAAD/2wCEAAEBAQEBAQEBAQECAgECAgMCAgICAgMDAwIDBAQEBAQE BAQEBQYFBAUGBQQEBQcFBgYGBwcHBAUHCAcHCAYHBwcBAgICAgICAwICAwcFBAUHBwcHBwcHBwcH BwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHB//EAaIAAAEFAQEBAQEBAAAA AAAAAAABAgMEBQYHCAkKCwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoLEAACAQMDAgQDBQUE BAAAAX0BAgMABBEFEiExQQYTUWEHInEUMoGRoQgjQrHBFVLR8CQzYnKCCQoWFxgZGiUmJygpKjQ1 Njc4OTpDREVGR0hJSlNUVVZXWFlaY2RlZmdoaWpzdHV2d3h5eoOEhYaHiImKkpOUlZaXmJmaoqOk paanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4eLj5OXm5+jp6vHy8/T19vf4+foRAAIB AgQEAwQHBQQEAAECdwABAgMRBAUhMQYSQVEHYXETIjKBCBRCkaGxwQkjM1LwFWJy0QoWJDThJfEX GBkaJicoKSo1Njc4OTpDREVGR0hJSlNUVVZXWFlaY2RlZmdoaWpzdHV2d3h5eoKDhIWGh4iJipKT lJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uLj5OXm5+jp6vLz9PX2 9/j5+v/AABEIAAcEsAMBIQACEQEDEQH/2gAMAwEAAhEDEQA/AP5saK+nP5fCigAooAKKACigAooA KKACigAr+gj/AINX/wDlL38Tf+zdde/9SjwnXHj/APdpH13A/wDyUWH9J/8ApLP9EWivEP3IKKAC igAooAKKACigAooAKKACigAooAKKACigAooAKKACigAooAKKACigAooAKKACigAooAKKACigAooA KKACigAooAKKACigAooAKKACigAooAKP+WdABRQAUUAFFABRQAUUAFFABRQAUUAFFABRQAUUAFFA BRQAUUAFFABRQAUUAFFABRQAUUAFFABRQAUUAFFABRQAUUAFFABRQAUUAFFABRQB/9k= ------=_NextPart_000_0000_01C709CD.643C2F40 Content-Type: application/octet-stream Content-Transfer-Encoding: 7bit Content-Location: http://www.intmed.mcw.edu/jscript/heart.js /* JavaScript: Framingham Heart Disease Risk Calculator February 28, 1999 This calculator was created by Charles Hu for the Medical College of Wisconsin General Internal Medicine Clinic. This calculator may not be copied without consent from the author. Please contact him at chuckhu@hotmail.com */ function riskCalc(form,complete) { var age = form.age.value; var sbp = form.sbp.value; var dbp = form.dbp.value; var chol = form.ldlchol.selectedIndex; var cholnum = form.cholnum.value; var hdl = form.hdl.value; var agerf, smokerf, smokerr, dmrf, dmrr, bprf, bprr var cholrf, cholrr, hdlrf, hdlrr, sbppt, dbppt, chdrisk var avgrisk, lowrisk // Check sex if (form.sex[0].checked) { var sex = "male" } else { if (form.sex[1].checked) { var sex = "female" } else { alert("Please select your sex."); return false } } // Check age if (age == "pi") {alert("Pi = 3.14159265358979323..."); alert("This calculator was written by Charles Hu.")}; if (!checkNum(age)) { alert("Please enter your age."); form.age.select(); form.age.focus(); return false } if ((age < 30) || (age > 74)) { if (!confirm("Results are ONLY applicable between the " + "ages of 30 and 74. Do you still want to proceed?")) { form.age.select(); form.age.focus(); form.agerf.value = ""; form.smokerf.value = ""; form.smokerr.value = ""; form.dmrf.value = ""; form.dmrr.value = ""; form.bprf.value = ""; form.bprr.value = ""; form.cholrf.value = ""; form.cholrr.value = ""; form.hdlrf.value = ""; form.hdlrr.value = ""; form.totalpts.value = ""; form.chdrisk.value = ""; form.avgrisk.value = ""; form.lowrisk.value = ""; return false } } // Check smoking if (form.smoke[0].checked) { var smoke = "yes" } else { if (form.smoke[1].checked) { var smoke = "no" } else { alert("Do you smoke?"); return false } } // Check diabetes if (form.dm[0].checked) { var dm = "yes" } else { if (form.dm[1].checked) { var dm = "no" } else { alert("Do you have diabetes?"); return false } } if (complete == 1) { // Check blood pressure if (!checkNum(sbp)) { alert("Please enter your systolic blood pressure."); form.sbp.focus(); form.sbp.select(); return false } if (!checkNum(dbp)) { alert("Please enter your diastolic blood pressure."); form.dbp.focus(); form.dbp.select(); return false } // Check cholesterol if (chol < 2) { alert("Please select a cholesterol."); form.ldlchol.focus(); return false } if (chol == 2) {var whatChol = "total"} else {var whatChol = "LDL"} if (!checkNum(cholnum)) { alert("Please enter your " + whatChol + " cholesterol.") form.cholnum.select(); form.cholnum.focus(); return false } if (!checkNum(hdl)) { alert("Please enter your HDL cholesterol.") form.hdl.focus(); form.hdl.select(); return false } } // Calculate risks // Sex Risks if (sex == "male") { agerf = Math.floor((age-35)/5); if (age < 35) {agerf = -1} if (age >=70) {agerf = 7} } if (sex == "female") { if (age < 35) {agerf = -9} if ((age >=35) && (age < 40)) {agerf = -4} if ((age >=40) && (age < 45)) {agerf = 0} if ((age >=45) && (age < 50)) {agerf = 3} if ((age >=50) && (age < 55)) {agerf = 6} if ((age >=55) && (age < 60)) {agerf = 7} if (age >=60) {agerf = 8} } form.agerf.value = agerf; // Smoking risks if (smoke == "yes") { smokerf = 2; smokerr = "High" } else { smokerf = 0; smokerr = "Low" } form.smokerf.value = smokerf; form.smokerr.value = smokerr; // Diabetes risks if (dm == "yes") { dmrr = "High" if (sex == "female") {dmrf = 4} else {dmrf = 2} } else { dmrf = 0; dmrr = "Low" } form.dmrf.value = dmrf; form.dmrr.value = dmrr; // Blood Pressure risks if ((checkNum(sbp)) && (checkNum(dbp))) { if (sex == "male") { if (dbp < 80) {dbppt = 0} if ((dbp >=80) && (dbp < 85)) {dbppt = 0} if ((dbp >=85) && (dbp < 90)) {dbppt = 1} if ((dbp >=90) && (dbp < 100)) {dbppt = 2} if (dbp >=100) {dbppt = 3} if (sbp < 120) {sbppt = 0} if ((sbp >=120) && (sbp < 130)) {sbppt = 0} if ((sbp >=130) && (sbp < 140)) {sbppt = 1} if ((sbp >=140) && (sbp < 160)) {sbppt = 2} if (sbp >= 160) {sbppt = 3} } else { // For females... if (dbp < 80) {dbppt = -3} if ((dbp >=80) && (dbp < 85)) {dbppt = 0} if ((dbp >=85) && (dbp < 90)) {dbppt = 0} if ((dbp >=90) && (dbp < 100)) {dbppt = 2} if (dbp >=100) {dbppt = 3} if (sbp < 120) {sbppt = -3} if ((sbp >=120) && (sbp < 130)) {sbppt = 0} if ((sbp >=130) && (sbp < 140)) {sbppt = 0} if ((sbp >=140) && (sbp < 160)) {sbppt = 2} if (sbp >= 160) {sbppt = 3} } // Which gives more points? bprf = Math.max(sbppt,dbppt); if (bprf <= 0) { if ((sbp < 120) && (dbp < 80)) {bprr = "Very Low"} else if ((sbp < 130) && (dbp < 85)) {bprr = "Low"} else if ((sbp < 140) && (dbp < 90)) {bprr = "Moderate"} } else if (bprf == 1) {bprr = "Moderate"} if (bprf == 2) {bprr = "High"} if (bprf == 3) {bprr = "Very High"} form.bprf.value = bprf; form.bprr.value = bprr; } else { form.sbp.value = ""; form.dbp.value = ""; form.bprf.value = ""; form.bprr.value = ""; } // Cholesterol risks if ((chol > 1) && (checkNum(cholnum))) { if (sex == "male") { if ((whatChol == "ldl") || (chol == 3)) { if (cholnum < 100) { cholrf = -3; cholrr = "Very Low" } if ((cholnum >= 100) && (cholnum < 160)) { cholrf = 0; if (cholnum < 130) {cholrr = "Low"} else {cholrr = "Moderate"} } if ((cholnum >= 160) && (cholnum < 190)) { cholrf = 1; cholrr = "High" } if (cholnum >= 190) { cholrf = 2; cholrr = "Very High" } } else { // For Total Cholesterol... if (cholnum < 160) { cholrf = -3; cholrr = "Very Low" } if ((cholnum >= 160) && (cholnum < 200)) { cholrf = 0; cholrr = "Low" } if ((cholnum >= 200) && (cholnum < 240)) { cholrf = 1; cholrr = "Moderate" } if ((cholnum >= 240) && (cholnum < 280)) { cholrf = 2; cholrr = "High" } if (cholnum >= 280) { cholrf = 3; cholrr = "Very High" } } } else { // For females... if ((whatChol == "ldl") || (chol == 3)) { if (cholnum < 100) { cholrf = -2; cholrr = "Very Low" } if ((cholnum >= 100) && (cholnum < 160)) { cholrf = 0; if (cholnum < 130) {cholrr = "Low"} else {cholrr = "Moderate"} } if (cholnum >= 160) { cholrf = 2; if (cholnum < 190) {cholrr = "High"} else {cholrr = "Very High"} } } else { // For Total Cholesterol...chuckhu if (cholnum < 160) { cholrf = -2; cholrr = "Very Low" } if ((cholnum >= 160) && (cholnum < 200)) { cholrf = 0; cholrr = "Low" } if ((cholnum >= 200) && (cholnum < 280)) { cholrf = 1; if (cholnum < 240) {cholrr = "Moderate"} else {cholrr = "High"} } if (cholnum >= 280) { cholrf = 3; cholrr = "Very High" } } } form.cholrf.value = cholrf; form.cholrr.value = cholrr } else { form.ldlchol.selectedIndex = 0; form.cholnum.value = ""; form.cholrf.value = ""; form.cholrr.value = "" } // HDL risks if (checkNum(hdl)) { if (sex == "male") { if (hdl < 35) { hdlrf = 2; hdlrr = "Very High" } if ((hdl >=35) && (hdl < 45)) { hdlrf = 1; hdlrr = "High" } if ((hdl >= 45) && (hdl < 60)) { hdlrf = 0; if (hdl < 50) {hdlrr = "Moderate"} else {hdlrr = "Low"} } if (hdl >= 60) { hdlrr = "Very Low" if (chol == 3) {hdlrf = -1} // If LDL's were also done else {hdlrf = -2} } } else { // For women... if (hdl < 35) { hdlrf = 5; hdlrr = "Very High" } if ((hdl >=35) && (hdl < 45)) { hdlrf = 2; hdlrr = "High" } if ((hdl >= 45) && (hdl < 50)) { hdlrf = 1; hdlrr = "Moderate" } if ((hdl >= 50) && (hdl < 60)) { hdlrf = 0; hdlrr = "Low" } if (hdl >= 60) { hdlrr = "Very Low" if (chol == 3) {hdlrf = -2} // If LDL's were also done else {hdlrf = -3} } } form.hdlrf.value = hdlrf; form.hdlrr.value = hdlrr } else { form.hdl.value = ""; form.hdlrf.value = ""; form.hdlrr.value = "" } // Calculate Point Total if (isNaN(bprf)) {bprf = 0} if (isNaN(cholrf)) {cholrf = 0} //isNaN(chuckhu@mcw.edu) = 0 if (isNaN(hdlrf)) {hdlrf = 0} totalpts = agerf + smokerf + dmrf + bprf + cholrf + hdlrf; form.totalpts.value = totalpts; // Find 10-Year Risk if (sex == "male") { for (var gg=0; gg < 16; gg++) { if (totalpts == menchd[gg][0]) { if (chol == 3) { // LDL risk chdrisk = menchd[gg][1] } else { // chol risk chdrisk = menchd[gg][2] } break } } if ((totalpts <= -3) && (chol==3)) {chdrisk = 1} // Minimum risk for lowest LDL points if ((totalpts >= 14) && (chol==3)) {chdrisk = "> 56"} // Maximum risk for highest LDL points if ((totalpts <= -1) && (chol==2)) {chdrisk = 2} // Minimum risk for lowest chol points if ((totalpts >= 14) && (chol==2)) {chdrisk = "> 53"} // Maximum risk for highest chol points // Male average & low risk gh = Math.floor((age - 30) / 5); if (gh < 0) {gh = 0} if (gh > 8) {gh = 8} avgrisk = avgmrisk[gh][0]; lowrisk = avgmrisk[gh][1]; } else { // Risks for women... for (var gg=0; gg < 20; gg++) { if (totalpts == femchd[gg][0]) { if (chol == 3) { // LDL risk chdrisk = femchd[gg][1] } else { // chol risk chdrisk = femchd[gg][2] } break } } if (totalpts < -2) {chdrisk = 1} // Minimum risk for lowest points if ((totalpts > 17) && (chol==3)) {chdrisk = "> 32"} // Maximum risk for highest LDL points if ((totalpts > 17) && (chol==2)) {chdrisk = "> 27"} // Maximum risk for highest chol points // Female average & low risk gh = Math.floor((age - 30) / 5); if (gh < 0) {gh = 0} if (gh > 8) {gh = 8} avgrisk = avgfrisk[gh][0]; lowrisk = avgfrisk[gh][1]; } form.chdrisk.value = chdrisk; form.avgrisk.value = avgrisk; form.lowrisk.value = lowrisk; return true; } // An array of CHD risk factors for men // menchd[x] = [points, ldlrisk, cholrisk] menchd = new Array(16) for (var g=0; g < 16; g++) { menchd[g] = new Array(2) } menchd[0] = [-2,2,2] menchd[1] = [-1,2,2] menchd[2] = [0,3,3] menchd[3] = [1,4,3] menchd[4] = [2,4,4] menchd[5] = [3,6,5] menchd[6] = [4,7,7] menchd[7] = [5,9,8] menchd[8] = [6,11,10] menchd[9] = [7,14,13] menchd[10] = [8,18,16] menchd[11] = [9,22,20] menchd[12] = [10,27,25] menchd[13] = [11,33,31] menchd[14] = [12,40,37] menchd[15] = [13,47,45] // An array of average CHD risk factors for men // avgmrisk[x] = [avgrisk, lowrisk] avgmrisk = new Array(9) for (g=0; g < 9; g++) { avgmrisk[g] = new Array(1) } avgmrisk[0] = [3,2] avgmrisk[1] = [5,3] avgmrisk[2] = [7,4] avgmrisk[3] = [11,4] avgmrisk[4] = [14,6] avgmrisk[5] = [16,7] avgmrisk[6] = [21,9] avgmrisk[7] = [25,11] avgmrisk[8] = [30,14] // An array of CHD risk factors for women // femchd[x] = [points, ldlrisk, cholrisk] femchd = new Array(20) for (var g=0; g < 20; g++) { femchd[g] = new Array(2) } femchd[0] = [-2,1,1] femchd[1] = [-1,2,2] femchd[2] = [0,2,2] femchd[3] = [1,2,2] femchd[4] = [2,3,3] femchd[5] = [3,3,3] femchd[6] = [4,4,4] femchd[7] = [5,5,4] femchd[8] = [6,6,5] femchd[9] = [7,7,6] femchd[10] = [8,8,7] femchd[11] = [9,9,8] femchd[12] = [10,11,10] femchd[13] = [11,13,11] femchd[14] = [12,15,13] femchd[15] = [13,17,15] femchd[16] = [14,20,18] femchd[17] = [15,24,20] femchd[18] = [16,27,24] femchd[19] = [17,32,27] // An array of average CHD risk factors for women // avgfrisk[x] = [avgrisk, lowrisk] avgfrisk = new Array(9) for (g=0; g < 9; g++) { avgfrisk[g] = new Array(1) } avgfrisk[0] = ["< 1","< 1"] avgfrisk[1] = ["< 1",1] avgfrisk[2] = [2,2] avgfrisk[3] = [5,3] avgfrisk[4] = [8,5] avgfrisk[5] = [12,7] avgfrisk[6] = [12,8] avgfrisk[7] = [13,8] avgfrisk[8] = [14,8] function checkNum(val) { if ((val == null) || (isNaN(val)) || (val == "") || (val < 0)) { return false } return true; } ------=_NextPart_000_0000_01C709CD.643C2F40--