AIMS: To determine the association of glomerular filtration rate (GFR) with clinical outcomes in the setting of non-ST-segment elevation acute coronary syndromes (NSTE-ACS). METHODS AND RESULTS: Data were pooled from five NSTE-ACS TIMI trials (TIMI 11A and B, TIMI 12, OPUS-TIMI 16 and TACTICS-TIMI 18) and were available in 13 307 patients. GFR was assessed as a continuous and a categorical variable (normal: > or = 90 mL/min/1.73 m2, n=4952; mildly decreased: 60-89 mL/min/1.73 m2, n=6262; and moderately to severely decreased GFR: <60 mL/min/1.73 m2, n=2093). There was an independent association between decreasing GFR and mortality at 30 days (OR 1.19, 95% CI 1.12-1.27, p<0.001) and at 6 months (OR 1.16, 95% CI 1.11-1.22, p<0.001). The combination of TIMI risk score (TRS) and decreasing GFR provided further mortality risk stratification with highest 30-day and 6-month mortality rates among patients with the lowest GFR who also had a TRS > or = 5 (9.1% and 15.4%, respectively). Decreasing GFR was also independently associated with stroke and recurrent ischaemia at 30-days as well as with major bleeding (p<0.001). CONCLUSION: In the setting of NSTE-ACS, impaired GFR is associated with higher mortality as well as higher rates of thrombotic and major bleeding events, independent of TRS.
AIMS: To determine the association of glomerular filtration rate (GFR) with clinical outcomes in the setting of non-ST-segment elevation acute coronary syndromes (NSTE-ACS). METHODS AND RESULTS: Data were pooled from five NSTE-ACS TIMI trials (TIMI 11A and B, TIMI 12, OPUS-TIMI 16 and TACTICS-TIMI 18) and were available in 13 307 patients. GFR was assessed as a continuous and a categorical variable (normal: > or = 90 mL/min/1.73 m2, n=4952; mildly decreased: 60-89 mL/min/1.73 m2, n=6262; and moderately to severely decreased GFR: <60 mL/min/1.73 m2, n=2093). There was an independent association between decreasing GFR and mortality at 30 days (OR 1.19, 95% CI 1.12-1.27, p<0.001) and at 6 months (OR 1.16, 95% CI 1.11-1.22, p<0.001). The combination of TIMI risk score (TRS) and decreasing GFR provided further mortality risk stratification with highest 30-day and 6-month mortality rates among patients with the lowest GFR who also had a TRS > or = 5 (9.1% and 15.4%, respectively). Decreasing GFR was also independently associated with stroke and recurrent ischaemia at 30-days as well as with major bleeding (p<0.001). CONCLUSION: In the setting of NSTE-ACS, impaired GFR is associated with higher mortality as well as higher rates of thrombotic and major bleeding events, independent of TRS.
Authors: Elias B Hanna; Anita Y Chen; Matthew T Roe; Stephen D Wiviott; Caroline S Fox; Jorge F Saucedo Journal: JACC Cardiovasc Interv Date: 2011-09 Impact factor: 11.195
Authors: Pedro J Flores-Blanco; Ángel López-Cuenca; James L Januzzi; Francisco Marín; Marianela Sánchez-Martínez; Miriam Quintana-Giner; Ana I Romero-Aniorte; Mariano Valdés; Sergio Manzano-Fernández Journal: Clin Cardiol Date: 2016-06-01 Impact factor: 2.882
Authors: Emilio González-Parra; Álvaro Aceña; Óscar Lorenzo; Nieves Tarín; María Luisa González-Casaus; Carmen Cristóbal; Ana Huelmos; Ignacio Mahíllo-Fernández; Ana María Pello; Rocío Carda; Ignacio Hernández-González; Joaquín Alonso; Fernando Rodríguez-Artalejo; Lorenzo López-Bescós; Alberto Ortiz; Jesús Egido; José Tuñón Journal: J Bone Miner Metab Date: 2015-08-23 Impact factor: 2.626
Authors: Tadeusz Osadnik; Jarosław Wasilewski; Andrzej Lekston; Joanna Strzelczyk; Anna Kurek; Aleksander Rafał Gutowski; Krzysztof Dyrbuś; Kamil Bujak; Rafał Reguła; Piotr Rozentryt; Bożena Szyguła-Jurkiewicz; Lech Poloński Journal: Clin Res Cardiol Date: 2014-03-09 Impact factor: 5.460
Authors: Hae Chang Jeong; Youngkeun Ahn; Myung Ho Jeong; Shung Chull Chae; Seung Ho Hur; Taek Jong Hong; Young Jo Kim; In Whan Seong; Jei Keon Chae; Jay Young Rhew; In Ho Chae; Myeong Chan Cho; Jang Ho Bae; Seung Woon Rha; Chong Jin Kim; Donghoon Choi; Yang Soo Jang; Junghan Yoon; Wook Sung Chung; Jeong Gwan Cho; Ki Bae Seung; Seung Jung Park Journal: Yonsei Med J Date: 2009-12-29 Impact factor: 2.759