当社グループは 3,000 以上の世界的なカンファレンスシリーズ 米国、ヨーロッパ、世界中で毎年イベントが開催されます。 1,000 のより科学的な学会からの支援を受けたアジア および 700 以上の オープン アクセスを発行ジャーナルには 50,000 人以上の著名人が掲載されており、科学者が編集委員として名高い
。オープンアクセスジャーナルはより多くの読者と引用を獲得
700 ジャーナル と 15,000,000 人の読者 各ジャーナルは 25,000 人以上の読者を獲得
Chun-Hsiang Wang, Ruey-Chang Lin, Lein-Ray Mo, Kuo-Kuan Chang, Jen-Juan Kuo
Background: The present study aimed to develop an optimal model predictive of the treatment response one week after initiating antiviral therapy.
Patients and Methods: In all, 166 patients completed the treatment and were followed up for six months.
Results: A viral response was achieved in 14 (8.4%) genotype 1 (G1) and 32 (19.3%) non-genotype 1 (G0) patients at week one after initiation of therapy and 45 (27.1%) G1 and 90 (54.2%) G0 patients at week four. A sustained viral response (SVR) was achieved in 50 (30.1%) G1 and 83 (50.0%) G0 patients, in 13 (29.5%) G1 and 31 (70.5%) G0 patients whose antiviral response was achieved at one week, and in 37 G1 (32.2%) and 78 G0 (67.8%) patients whose antiviral response was achieved at four weeks. The HCV viral kinetic parameter π (i.e., 1: α, α was defined as the area under the line y [viral load]=– a[x{time}] between week 0 and week 1) was found to be the best performing test for predicting SVR (p<0.0001). Regression analysis identified π as the only independent predictor of SVR (p=0.043).
Conclusions: The use of bio-mathematical models of HCV kinetics can reliably predict SVR one week after starting therapy.