Risk factors and survival analysis of haemodialysis complicated with infective endocarditis.

The clinical features and risk factors for survival time were analysed in haemodialysis patients complicated with infective endocarditis. A total of 101 infective endocarditis (IE) patients treated at Hangzhou First People's Hospital, from January 1, 2012, to April 1, 2022, were included in the present study. Baseline demographic data and laboratory data were collected for statistical analysis of risk factors and survival time in the IE with haemodialysis group (HD-IE group, n=15) and the IE without haemodialysis group (NHD-IE group, n=86). Haemoglobin, red blood cells, C-reactive protein, procalcitonin, serum albumin, diabetes, invasive procedures, positive blood bacteria culture, heart valve calcification ratio, and left ventricular ejection fraction level were risk factors for infective endocarditis complicated with haemodialysis (P<0.05). Compared with the NHD-IE group, the HD-IE group had an obviously increased risk of mortality (χ2=6.323, P=0.012). The univariate Cox regression analysis showed that age, haemoglobin, red blood cells, serum albumin, left ventricular ejection score, longest vegetation diameter, combined hypotension and diabetes were risk factors for death; furthermore, multivariate Cox regression showed that age (HR=1.187, P=0.015), combined hypotension (HR=0.921, P=0.025) and the longest vegetation diameter (HR=9.191, P=0.004) were independent risk factors affecting the survival of patients. Collectively, the present study revealed that the mortality rate of HD-IE patients was higher than that of NHD-IE patients. Older age, hypotension, and the longest vegetation diameter were independent risk factors affecting the survival of patients. For HD-IE patients, active and effective antibiotic treatment or surgical treatment should be strongly recommended.

[Prognostic Value of Morphology and Hans Classification in Diffuse Large B Cell Lymphoma].

OBJECTIVE: To investigate the prognostic value of morphology and Hans classification in diffuse large B cell lymphoma（DLBCL）. METHODS: Clinical data of 249 patients diagnosed with DLBCL in our hospital and Hangzhou Xixi hospital during Jan 2006 to Dec 2016 were analyzed retrospectively. These patients were classified into 3 groups: immunoblastic variant（IB） group, centroblastic variant（CB） group and others group according to the cell morphology. And DLBCL was also divided into GCB（germinal center B-cell-like）or non-GCB（non-germinal center B-cell-like） group by analyzing the expression of CD10, BCL6 and MUM1 (GCB: CD10 +,BCL6+-,MUM1+-/CD10-,BCL6+,MUM1-；non-GCB：CD10-,BCL6-,MUM1+-/CD10-,BCL6+,MUM1+). RESULTS: The univariate analysis displayed that the age，LDH level，IPI，IB，non-GCB，B-symptoms and rituximab all could influence the OS and EFS, the CR rate of CB subtype patients was significantly higher than that of the patients with IB subtype （68.3% vs 38.9%)(P=0.02）. IB subtype was the in dependent prognostic factor for both EFS and OS in the whole study. In multivariate analysis, IPI and IB were the independent prognostic factors for OS and EFS. IB subtype was also an independent prognostic factor in EFS and OS with or without rituximab. The expression of BCL2 and BCL6 was related with prognosis in R-CHOP, but not in CHOP treated patients. Other markers (CD5, CD10, IRF4/MUM1, HLA-DR and Ki-67 proliferation index) were not of the significant prognostic value for DLBCL. When accepted rituximab, the GCB and non-GCB were not different significantly for prognosis. However, the non-GCB group showed a poor prognosis without using rituximab （EFS P=0.020；OS P=0.020）. Multivariate Cox models showed that OS and EFS were not significantly different between GCB and non-GCB group, however, the IB subtype had a very significantly poor prognosis in OS and EFS (P=0.001, P=0.002). When the analysis was restricted to DLBCL with CB morphology only, no prognostic value was observed in Hans classification. CONCLUSION: The subtype of immunoblast is a major risk factor in patients treated with CHOP or R-CHOP. There is a significant association between the Hans classification and the morphologic subclassification. Results of this study have supplemented the data for the prognostic factor of DLBCL and demonstrated that the cytomorphologic diagnosis can be reproducible.

Genomic analysis of snub-nosed monkeys (Rhinopithecus) identifies genes and processes related to high-altitude adaptation.

The snub-nosed monkey genus Rhinopithecus includes five closely related species distributed across altitudinal gradients from 800 to 4,500 m. Rhinopithecus bieti, Rhinopithecus roxellana, and Rhinopithecus strykeri inhabit high-altitude habitats, whereas Rhinopithecus brelichi and Rhinopithecus avunculus inhabit lowland regions. We report the de novo whole-genome sequence of R. bieti and genomic sequences for the four other species. Eight shared substitutions were found in six genes related to lung function, DNA repair, and angiogenesis in the high-altitude snub-nosed monkeys. Functional assays showed that the high-altitude variant of CDT1 (Ala537Val) renders cells more resistant to UV irradiation, and the high-altitude variants of RNASE4 (Asn89Lys and Thr128Ile) confer enhanced ability to induce endothelial tube formation in vitro. Genomic scans in the R. bieti and R. roxellana populations identified signatures of selection between and within populations at genes involved in functions relevant to high-altitude adaptation. These results provide valuable insights into the adaptation to high altitude in the snub-nosed monkeys.