Wombleholden9335

PURPOSE The importance of nivolumab for recurrent or metastatic (R/M) head and neck squamous cell carcinoma (HNSCC) is rapidly increasing. However, prognostic factors have not been determined for predicting treatment outcome. We aimed to investigate the prognostic factors in R/M HNSCC patients treated with nivolumab. METHODS This retrospective study included 42 patients with R/M HNSCC who received nivolumab therapy. Correlations of overall survival (OS) with various patient characteristics including age, recurrent/metastatic site, performance status (PS), programmed death-ligand 1 positivity, body mass index, neutrophil-to-lymphocyte ratio, modified Glasgow prognostic score (mGPS), previous cetuximab administration, and immune-related adverse events were investigated. RESULTS The overall response rate and disease control rate were 16.7% and 45.2%, respectively. Estimated 1-year OS and progression-free survival (PFS) were 56.4% and 24.5%, respectively. Multivariate analysis revealed that PS = 2 (hazard ratio 0.147; 95% CI 0.041-0.527; p = 0.003) and mGPS = 2 (hazard ratio 0.188; 95% CI, 0.057-0.620; p = 0.006) were independent predictors of poor OS. Given that the PS and mGPS were independent prognostic factors, we classified patients into three groups according to PS and mGPS Group 1, both PS and mGPS were 0 or 1 (n = 30); Group 2, either PS or mGPS was 2 (n = 9); Group 3, both PS and mGPS were 2 (n = 3). The OS curves were significantly stratified among the three groups. CONCLUSION The combination of PS and mGPS accurately predicted OS after nivolumab therapy. Preventive intervention to maintain general condition without simultaneously exceeding level 2 of PS and mGPS might be important for improving treatment outcomes of nivolumab.PURPOSE There is a lack of information on the effects of power training (PT) as an alternative to traditional strength training (TST) during concurrent training (CT) in older individuals. This study aimed to verify the neuromuscular adaptations that occurred following 16-week interventions with two CT models in older men high-intensity interval training (HIIT) combined with either TST or PT. METHODS Thirty-five older men (65.8 ± 3.9 years) were randomly assigned into one of two training groups CTS TST + HIIT (n = 18) or CTP PT + HIIT (n = 17). CTS performed resistance training at intensities ranging from 65 to 80% of 1 RM at slow controlled speed, whereas CTP trained at intensities ranging from 40 to 60% of 1 RM at maximal intentional speed. Lower body one-repetition maximum (1 RM), isometric rate of force development (RFD), countermovement jump (CMJ) muscle power output, quadriceps femoris muscles thickness (QF MT), and peak oxygen uptake (VO2peak) were assessed before training and after 8 and 16 weeks of CT. RESULTS Groups improved similarly in all primary outcomes (P  less then  0.05), with mean increases ranging 1 RM (from 39.4 to 75.8%); RFD (from 9.9 to 64.8%); and CMJ muscle power (from 1.8 to 5.2%). Significant increases (P  less then  0.05) were observed in all secondary outcomes (QF MT, specific tension and VO2peak) with no differences between groups. CONCLUSION CT models were effective for improving maximal and explosive force (1 RM, RFD, and CMJ power), QF MT, and VO2peak. Moreover, despite that using lower loading intensities, PT induced similar adaptations to those of TST.PURPOSE We examined the effect of ischemic preconditioning (IPC) on changes in muscle force, activation, and the spinal reflex pathway during and after repeated sprint cycling. TKI258 METHODS Eight recreationally active men (high-intensity cardiorespiratory training > 3 times per week, > 6 months) completed two exercise sessions (5 sets of 5 cycling sprints, 150% max W), preceded by either IPC (3 × 5 min leg occlusions at 220 mmHg) or SHAM (3 × 5 min at 20 mmHg). Knee extensor maximal force and rate of force were measured before (PRE), immediately post (POST), 1H, and 24H after cycling. Twitch interpolation and resting potentiated twitches were applied to estimate voluntary activation and muscle contractility, respectively. Quadriceps H-reflex recruitment curves were collected at all time-points using 10 Hz doublet stimulation to allow estimation of H-reflex post-activation depression. Surface electromyograms and tissue oxygenation (via near-infrared spectroscopy) were continuously recorded during cycling. RESULTS IPC did not affect any measure of neuromuscular function or performance during cycling. Maximal force and muscle contractility were significantly lower at POST and 1H compared to PRE and 24H by up to 50% (p  less then  0.01). Maximal force was lower than PRE at 24H by 8.7% (p = 0.028). Voluntary activation and rate of force were unchanged. A rightwards shift was observed for the H-reflex recruitment curve POST, and post-activation depression was higher than all other time-points at 24H (p  less then  0.05). Muscle activation and oxygenation decreased during cycling. CONCLUSIONS IPC has a nominal effect on mechanisms associated with neuromuscular function during and after exercise in healthy populations.PURPOSE To evaluate the hydration of fat-free mass (FFM) in athletes and non-athletes. METHODS We analyzed the data of 128 healthy young adults (athletes 61 men, 36 women; non-athletes 19 men, 12 women) using the two-component (2C), 3C and 4C models. Under-water weighing or air-displacement plethysmography and deuterium dilution methods were used for estimating body density and total body water, respectively. The bone mineral content (BMC) was determined using whole-body scans by dual-energy X-ray absorptiometry. RESULTS There was no significant difference in FFM hydration between the athletes (men, 72.3 ± 1.3%; women, 71.8 ± 1.3%) and non-athletes (men, 72.1 ± 1.2%; women, 72.2% ± 1.0%) in the 3C model. The total mean FFM hydration (72.1% ± 1.3%) was similar to the corresponding value in the literature (~ 73%). The estimation error of the percentage fat by the 2C vs the 4C model was significantly and highly correlated with hydration (r = 0.96), BMC (r = - 0.70), and total body protein (r = - 0.86) in the 4C model FFM.