Quality of life assessment as a predictor of survival in non-small cell lung cancer

<p>Abstract</p> <p>Background</p> <p>There are conflicting and inconsistent results in the literature on the prognostic role of quality of life (QoL) in cancer. We investigated whether QoL at admission could predict survival in lung cancer patients.</p> <p>Methods</p> <p>The study population consisted of 1194 non-small cell lung cancer patients treated at our institution between Jan 2001 and Dec 2008. QoL was evaluated using EORTC-QLQ-C30 prior to initiation of treatment. Patient survival was defined as the time interval between the date of first patient visit and the date of death from any cause/date of last contact. Univariate and multivariate Cox regression evaluated the prognostic significance of QoL.</p> <p>Results</p> <p>Mean age at presentation was 58.3 years. There were 605 newly diagnosed and 589 previously treated patients; 601 males and 593 females. Stage of disease at diagnosis was I, 100; II, 63; III, 348; IV, 656; and 27 indeterminate. Upon multivariate analyses, global QoL as well as physical function predicted patient survival in the entire study population. Every 10-point increase in physical function was associated with a 10% increase in survival (95% CI = 6% to 14%, p < 0.001). Similarly, every 10-point increase in global QoL was associated with a 9% increase in survival (95% CI = 6% to 11%, p < 0.001). Furthermore, physical function, nausea/vomiting, insomnia, and diarrhea (p < 0.05 for all) in newly diagnosed patients, but only physical function (p < 0.001) in previously treated patients were predictive of survival.</p> <p>Conclusions</p> <p>Baseline global QoL and physical function provide useful prognostic information in non-small cell lung cancer patients.</p

YouTube as source of information on 2019 novel coronavirus outbreak: a cross sectional study of English and Mandarin content

10.1016/j.tmaid.2020.101636Travel Medicine and Infectious Disease35101636

Corrigendum to <' YouTube as a source of information on COVID-19 outbreak: A cross-sectional study of English and Mandarin content'> (Travel Medicine and Infectious Disease (2020) 35, (S1477893920301046), (10.1016/j.tmaid.2020.101636))

10.1016/j.tmaid.2020.101821Travel Medicine and Infectious Disease36101821

Clinical Pharmacokinetics of Paclitaxel Monotherapy: An Updated Literature Review

Paclitaxel is an anticancer agent efficacious in the treatment of ovarian, breast, and lung cancer. Due to a strong link between the pharmacokinetics and therapeutic efficacy of paclitaxel, we reviewed the literature on paclitaxel pharmacokinetics. Systematic data mining was performed to extract the maximum concentration (C max), clearance (CL), and time of paclitaxel plasma concentration above 0.05 µmol/L (T &gt; 0.05 µmol/L) following monotherapy of both the widely used cremophor-diluted paclitaxel and nanoparticle albumin-bound (nab-)paclitaxel. We identified a total of 53 studies yielding 121 aggregated pharmacokinetic profiles for paclitaxel monotherapy and extracted reported mean and median estimates of pharmacokinetic parameters. Paclitaxel has been studied formally at doses of 15-825 mg/m2 and infused over 0.5-96 h; included studies examined both weekly and every 3-weeks dosing cycles. The most widely used dose of cremophor-diluted paclitaxel, 175 mg/m2 given as a 3-h infusion, leads to an interstudy median C max of 5.1 µmol/L [interquartile range (IQR) 4.5-5.7], CL of 12.0 L/h/m2 (IQR 10.9-12.9), and T &gt; 0.05 µmol/L of 23.8 h (IQR 21.5-26.8). Importantly, the significant interindividual variation widely reported in the literature is not reflected in these interstudy estimates of pharmacokinetic parameters. Cremophor-diluted paclitaxel pharmacokinetics are non-linear following short (&lt;6 h) but not long (&gt;24 h) infusions. A similar pattern of non-linearity was observed for nab-paclitaxel, although the number of studies was limited. The pharmacokinetics of paclitaxel monotherapy have been widely studied at numerous dose levels of the Cremophor EL® formulation, but are less well-characterized for the newer nab-paclitaxel formulation. In conclusion, paclitaxel pharmacokinetics are non-linear for short infusion times but not for longer infusions. Whether a similar conclusion can be drawn for nab-paclitaxel formulations requires further study