\n\nResults: Four trials reported musculoskeletal disorders of ZOL treatment versus no ZOL, including 2684 patients treated with ZOL and 2712 patients without ZOL treatment. Compared to patients without ZOL treatment, patients treated with ZOL had a significantly higher risk of arthralgia (risk
ratio (RR): 1.162, 95% confidence interval (CI): 1.096-1.232, P = 0.466 for heterogeneity) and bone pain (RR: 1.257, 95% CI: 1.149-1.376, PLX4032 datasheet P = 0.193 for heterogeneity). Three clinical trials reported the complications of upfront versus delayed ZOL treatment, including 1091 patients with upfront ZOL and 1110 patients with delayed ZOL. The rate of bone pain in upfront group (119/824) was significantly higher selleck than that in delayed group (74/836) (RR: 1.284, 95% CI: 1.135-1.453, P = 0.460 for heterogeneity).\n\nConclusions: Our meta-analysis suggested
that treatment with ZOL was significantly associated to the occurrence of arthralgia and bone pain. Moreover, higher rate of bone pain was observed in patients treated with upfront ZOL compared with delayed ZOL treatment. More attentions should be paid to patients treated with ZOL, especially for immediate ZOL. For patients with low risk of osteoporosis, immediate ZOL may be not needed due to additional musculoskeletal disorders and little benefit. Or it can be stopped after the occurrence of these adverse events.”
“Objective: We aimed to generate equation to predict arterial lactate (a-Lac) using venous lactate (v-Lac) and other lab data.\n\nMethods: A prospective cross-sectional study was conducted on emergency patients in the emergency department for 6 months at a general hospital in Tokyo, Japan. We collected arterial and venous gas analysis data. Patients were eligible for entry into the study if an arterial blood gas analysis was required for appropriate diagnostic care by the treating physician. Univariate linear regression analysis was Liproxstatin-1 conducted to generate an equation to calculate a-Lac incorporating only v-Lac. A multivariate forward stepwise logistic regression model (p-value of
0.05 for entry, 0.1 for removal) was used to generate an equation including v-Lac and other potentially relevant variables. Bland-Altman plot was drawn and the two equations were compared for model fitting using R-squares.\n\nResults: Seventy-two arterial samples from 72 participants (61% male; mean age, 58.2 years) were included in the study. An initial regression equation was derived from univariate linear regression analysis:”(a-Lac) = -0.259 + (v-Lac) x 0.996″. Subsequent multivariate forward stepwise logistic regression analysis, incorporating v-Lac and Po-2, generated the following equation:”(a-Lac) = -0.469+(venous Po-2) x 0.005 + (v-Lac) x 0.997″. Calculated R-squares by single and multiple regression were 0.94 and 0.96, respectively.