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| 1 | Serum uric acid as a prognostic marker in the setting of advanced vascular disease: a prospective study in the elderly显示文摘BackgroundMany 流行病学的研究分析在 hyperuricemia 和心血管的结果之间的关系。这观察未来的研究调查有在一张老人口的不利心血管的事件和死亡的尿酸(SUA ) 层次由百和 76 个老病人由先进动脉粥样硬化影响了的先进 atherosclerosis.MethodsTwo 影响了的浆液的协会(217 男性和 59 女性;71.2 ±7.8 年) 被包括。所有病人为心血管的疾病,癌症,肥胖和传统的风险因素的历史被估计。病人们为约 31 ± 被跟随;11 个月。主要事件在后续,定义同样心肌的梗塞,服的局部缺血,心肌或外部的 revascularization 和 death.ResultsMean SUA 期间被记录水平是 5.47 ±1.43 mg/dL;然后,我们进一步在二个组划分了人口,根据中部的价值(5.36 mg/dL ) 。在期间一中部列在后面在上面 31,月(5 ~ 49 个月) , 66 个心血管的事件, 9 个致命的心血管的事件和 14 癌症相关的死亡发生了。有增加的 SUA 水平的病人介绍了全部的心血管的事件的更高重要的发生(HR:1.867, P = 0.014, 95% CI:1.134-3.074 ) 。一样的病人显示出癌症相关的死亡的重要增加的风险(HR:4.335, P = 0.025, 95% CI:1.204-15.606 ).ConclusionsIncreased SUA 层次独立地并且显著地与心血管的事件的风险被联系,癌症在外部 vasculopathy 影响的主要老的病人的一张人口联系了死亡。 | Giuseppe Di Stolfo Sandra Mastroianno Domenico Rosario Potenza Giovanni De Luca Carmela d'Arienzo Michele Antonio Pacilli Mario Fanelli Aldo Russo Raffaele Fanelli | 2015 | Journal of Geriatric Cardiology2015，12，5： | 20 |
| 2 | Real-world data is dirty:data cleansing and the merge/purge problem显示文摘 | Hernández M A Stolfo S J | | 0，，01： | 1 |
| 3 | Coadministration of atorvastatin prevents nitroglycerin-induced endothelial dysfunction and nitrate tolerance in healthy humans显示文摘 | Liuni A Luca MC Stolfo GD | 2011 | J Am Coll Cardiol2011，57，： | 1 |
| 4 | Worm and attack early warning:Piercing stealthy reconnaissance显示文摘 | Stolfo S | 2004 | IEEE Privacy and Security2004，2，3： | 1 |
| 5 | The merge/purge problem for large databases显示文摘 | Mauricio A. Hernández Salvatore J. Stolfo | 1995 | ACM SIGMOD Record1995，，2： | 1 |
| 6 | A framework for constructing features and Models for Intrusion Detection Systems显示文摘 | LEE W STOLFO S J | 2000 | ACM Transactions on Information and System Security2000，3，4： | 1 |
| 7 | A data mining framework for building intrusion detection models显示文摘 | Lee W Stolfo S J Mok K W | 1999 | in In IEEE Symposium on Security and Privacy1999，，： | 1 |
| 8 | Anomalous Payload-Based Network Intrusion Detection 显示文摘 | Ke Wang Salvatore J Stolfo | 2004 | Lecture Notes in Computer Science (S0302-9743)2004，3224，： | 1 |
| 9 | A framework for constructing features and models for intrusion detection systems 显示文摘 | Lee W K Stolfo S | 2000 | ACM Transactions on Information and System Security2000，3，4： | 1 |
| 10 | Real-world Data is Dirty: Data Cleansing and The Merge/Purge Problem显示文摘 | Mauricio A. Hernández Salvatore J. Stolfo | 1998 | Data Mining and Knowledge Discovery1998，，1： | 1 |
| 11 | Real world data is dirty:data cleansing and the merge/purge problem显示文摘 | HERNANDEZ M STOLFO S | 1998 | Data Mining and Knowledge Discovery1998，2，1： | 1 |
| 12 | Real World data is dirty: data cleansing and the merge/purge problem显示文摘 | Hernandez M A Stolfo S | 1998 | Data Mining and Knowledge Discovery1998，2，1： | 1 |
| 13 | Real-world data is dirty:data cleansing and the merge/purge problem显示文摘 | Hernandez M A Stolfo S J | 1998 | Data Mining and Knowledge Discovery1998，2，1： | 1 |
| 14 | Real-World data is dirty: data cleansing an d the merge/purge problem 显示文摘 | HERN ANDEZ M A STOLFO S J | 1998 | Data M ining and Knowledge Discovery1998，2，1： | 1 |
| 15 | Adaptive intrusion detection:a data mining approach显示文摘 | Wenke Lee Stolfo S J Mok K W | 2001 | Artificial Intelligence Review2001，14，6： | 1 |
| 16 | Adaptive intrusion detection: a data mining approach 显示文摘 | Lee W Stolfo S J Mok K W | 2000 | Artificial Intelligence Review2000，14，6： | 1 |
| 17 | The merge/purge problem for large databases显示文摘 | Hernández M A Stolfo S J | 1995 | ACM SIGMOD Record ACM1995，24，2： | 1 |
| 18 | Data mining methods for detection of new malicious executable显示文摘 | Schultz M Eskin E Zadok E Stolfo | 2001 | Proceedings of the IEEE Symposium on Security and privacy Los Alamitos CA IEEE press2001，2001，： | 1 |
| 19 | A data mining framework for building intrusion detection models显示文摘 | Lee W Stolfo S J | 1999 | IEEE Security and Privacy1999，5，： | 1 |
| 20 | Real-world data is dirty:Data Cleansing and the Merge/PUrge problem显示文摘 | M Hem′andez S Stolfo | 1998 | Journal of Data Mining and Knowledge Discovery1998，2，1： | 1 |
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