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Purpose: Primary central nervous system lymphoma (PCNSL) is a rare type of extra-nodal non-Hodgkin lymphoma, but the prognostic value of blood parameters indicating systemic inflammation and nutritional status remains unknown. We aim to explore the prognostic role of blood parameters in PCNSL.Methods: All PCNSL patients diagnosed at West China Hospital between February 2011 and February 2020 were retrospectively screened. For patients who were initially treated with high-dose methotrexate (HD-MTX)-based therapy, clinical data were collected. Survival analyses were performed using the Kaplan–Meier method and multivariable Cox proportional regression. The accuracies of different multivariate models were assessed by Harrell's C statistical analysis (C-index).Results: Sixty patients were included. Median overall survival (OS) was 4.8 ± 3.7 years, and median progression-free survival (PFS) was 1.9 ± 1.3 years. In the multivariate analysis, hemoglobin (Hb) (HR 3.940, p = 0.013), neutrophil–lymphocyte ratio (NLR) (HR 10.548, p = 0.034), and total bilirubin (TBIL) (HR 3.429, p = 0.004) had independent prognostic values for PFS, while lymphocyte–monocyte ratio (LMR) (HR 6.195, p = 0.039), systemic immune-inflammation index (SII) (HR 5.144, p = 0.012), and TBIL (HR 3.892, p = 0.009) were independently related to OS. The C-index of the Memorial Sloan-Kettering Cancer Center (MSKCC) score increased from 0.57 to 0.72 when SII and TBIL were combined.Conclusions: Our study indicated that pretreatment Hb, NLR, SII, LMR, and TBIL were convenient prognostic factors in PCNSL. Adding SII and TBIL to the MSKCC score can better predict the survival of PCNSL based on HD-MTX regimens.

Introduction:Bazedoxifene may be promising to treat osteoporosis of postmenopausal women. We conducted a systematic review and meta-analysis to explore the efficacy and safety of bazedoxifene in postmenopausal women with osteoporosis.Methods:PubMed, EMbase, Web of science, EBSCO, and Cochrane library databases were systematically searched. Randomized controlled trials (RCTs) assessing the effect of bazedoxifene on osteoporosis of postmenopausal women were included. Two investigators independently searched articles, extracted data, and assessed the quality of included studies. The primary outcomes were vertebral fracture and spine BMD at 3 and 7 years.Results:Four RCTs are included in the meta-analysis. Overall, compared with placebo intervention in postmenopausal women with osteoporosis, bazedoxifene intervention can significantly reduce the risk of vertebral fracture [risk risks (RRs) = 0.69; 95% confidence interval (95% CI) = 0.52–0.93; P = .01], and increase spine BMD at 3 years (Std. mean difference = 1.71; 95% CI = 1.55–1.87; P < .005) and 7 years (Std. mean difference = 8.31; 95% CI = 8.07–8.55; P < .005). Bazedoxifene intervention results in no increase in adverse events (RR = 1.00; 95% CI = 0.99–1.00; P = .34), serious adverse events (RR = 1.04; 95% CI = 0.97–1.12; P = .31), myocardial infarction (RR = 0.88; 95% CI = 0.51–1.52; P = .64), stroke (RR = 0.97; 95% CI = 0.64–1.46; P = .87), venous thromboembolic event (RR = 1.56; 95% CI = 0.92–2.64; P = .10), and breast carcinoma (RR = 1.03; 95% CI = 0.59–1.79; P = .92).Conclusions:Compared with placebo intervention for the osteoporosis of postmenopausal women, bazedoxifene intervention is found to significantly reduce the incidence of vertebral fracture and increase spine BMD at 3 and 7 years, and results in no increase in adverse events, serious adverse events, myocardial infarction, stroke, venous thromboembolic event, and breast carcinoma.

It is critical to accurately identify patients with severe acute pancreatitis (SAP) in a timely manner. This study aimed to develop a new simplified AP scoring system based on data from Chinese population. We retrospectively analyzed a consecutive series of 585 patients diagnosed with SAP at the Changhai hospital between 2009 and 2017. The new Chinese simple scoring system (CSSS) was derived using logistic regression analysis and was validated in comparison to 4 existing systems using receiver operating characteristic curves. Six variables were selected for incorporation into CSSS, including serum creatinine, blood glucose, lactate dehydrogenase, heart rate, C-reactive protein, and extent of pancreatic necrosis. The new CSSS yields a maximum total score of 9 points. The cut-offs for predicting mortality and severity (discriminating moderately SAP from SAP) were set as 6 points and 4 points respectively. Compared with 4 existing scoring systems, the area under the receiver operating characteristic of CSSS for prediction of mortality was 0.838, similar to acute physiology and chronic health evaluation II (0.844) and higher than Ranson's score (0.702, P < .001), bedside index of severity in acute pancreatitis (0.615), and modified computed tomography severity index (MCTSI) (0.736). For predicting SAP severity, CSSS was the most accurate (0.834), followed by acute physiology and chronic health evaluation II (0.800), Ranson's score (0.702), MCTSI (0.660), and bedside index of severity in acute pancreatitis (0.570). Further, the accuracy of predicting pancreatic infection with CSSS was the highest (0.634), similar to that of MCTSI (0.641). A new prognostic scoring system for SAP was derived and validated in a Chinese sample. This scoring system is a simple and accurate method for prediction of mortality.