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Long non-coding RNA HOTAIR has been reported to play a key role in regulating various biological processes in various cancers. However, the roles and mechanisms of HOTAIR in acute myeloid leukaemia (AML) are still unclear and need to be investigated. In this study, we induced differentiation of four AML cell lines by all-trans retinoic acid (ATRA) and found HOTAIR was significantly upregulated in the process. Chromatin immunoprecipitation (ChIP) assays indicated that C/EBPβ upregulated HOTAIR during ATRA induced differentiation in HL-60 cells. By gain- and loss-of-function analysis, we then observed that HOTAIR expression was positively correlated with ATRA-induced differentiation and negatively regulated G1 phase arrest in HL-60 cells. In addition, we found that HOTAIR promoted ATRA-induced differentiation via the regulation of the cell cycle regulator p21 via miR-17-5p. Moreover, we detected the expression of HOTAIR in 84 de novo AML patients, HOTAIR was found significantly downregulated in the AML patients compared to the iron deficiency anaemia (IDA) control group, negatively correlated with the platelet level in M2 patients. In all, our data suggest that HOTAIR may be subtype-specific in AML-M2 patients, also HOTAIR regulates AML differentiation by C/EBPBβ/HOTAIR/miR-17-5p/p21 pathway. The findings of the present study provide a novel insight into the mechanism of lncRNA-mediated differentiation and indicate that HOTAIR may be a promising therapeutic target for leukaemia, especially for AML with M2 type. Abbreviation: AML: acute myeloid leukaemia; APL: acute promyelocytic leukaemia; ATRA: all-trans retinoic acid; CCK8: cell Counting Kit-8; CDKs: cyclin-dependent kinases ; CeRNA: competing endogenous RNAs; ChIP: chromatin immunoprecipitation; CHX: cycloheximide; FAB: French–American–British; FCM: flow cytometry; HOTAIR: HOX transcript antisense RNA; IDA: iron-deficiency anemia; lncRNA: long non-coding RNA; 3′UTR: 3′untranslated region; MT: Mutation type; WT: Wild type; qRT-PCR: Quantitative real-time PCR

Garlic polysaccharides are great potential agents because of their anti-inflammation, antioxidation, and immunomodulation properties. However, few studies have reported their anti-inflammatory effects on improving the colon system and corresponding intestinal microbiota. Herein, a water-soluble garlic polysaccharide (WSGP) was extracted from Jinxiang garlic to evaluate its effects on ameliorating dextran sulfate sodium (DSS)-induced colitis in a mouse model. The results showed that (1) after administration of the WSGP (200 or 400 mg/kg/day), the feed intake, body weight, and colon length of colitic mice were increased, while the disease activity index and the histological score of colitic mice were decreased; (2) the WSGP reduced the colonic tissue damage and inhibited the expression of inflammatory factors (interleukin 6, interleukin 1 beta , and tumor necrosis factor alpha); and (3) the WSGP enhanced the production of short-chain fatty acids and improved the composition of intestinal microbiota. The key microorganisms, including Muribaculaceae, Lachnospiraceae, Lachnospiraceae_NK4A136_group, Mucispirillum, Helicobacter, Ruminococcus_1, and Ruminiclostridium_5, were identified to be associated with inflammatory bowel diseases. Taken together, this study proved that WSGP supplementation could alleviate DSS-induced colitis by improving mucosal barriers, blocking proinflammatory cytokines, and modulating gut microbiota.

Autophagy plays a crucial role in the development and progression of ischemic acute kidney injury (AKI). However, the function and mechanism of circular RNAs (circRNAs) in the regulation of autophagy in ischemic AKI remain unexplored. Herein, we find that circ-ZNF609, originating from the ZNF609 locus, is highly expressed in the kidney after ischemia/reperfusion injury, and urinary circ-ZNF609 is a moderate predictor for AKI in heart disease patients. Overexpression of circ-ZNF609 can activate AKT3/mTOR signaling and induce autophagy flux impairment and cell apoptosis while inhibiting proliferation in HK-2 cells, which is blocked by silencing circ-ZNF609. Mechanistically, circ-ZNF609 encodes a functional protein consisting of 250 amino acids (aa), termed ZNF609-250aa, the overexpression of which can activate AKT3/mTOR signaling and induce autophagy flux impairment and cell apoptosis in HK-2 cells in vitro and in AKI kidneys in vivo. The blockade of AKT and mTOR signaling with pharmacological inhibitors is capable of reversing ZNF609-250aa-induced autophagy flux impairment and cell apoptosis in HK-2 cells. The present study demonstrates that highly expressed circ-ZNF609-encoded ZNF609-250aa induces cell apoptosis and AKI by impairing the autophagy flux via an AKT/mTOR-dependent mechanism. These findings imply that targeting circ-ZNF609 may be a novel therapy for ischemic AKI.

In order to establish the mapping relationship between architectural design parameters and building performance and optimize architectural design parameters, an architectural design optimization method based on BP neural network is proposed. The selected main design parameters of building ventilation include spacing coefficient, air outlet area, and height from the bottom of the window sill to the ground. Take the comprehensive performance of building ventilation design as the main optimization objective to optimize the building design. First, nine groups of samples of building optimization design are obtained through uniform experimental design. Then, based on the architectural design sample data obtained by BP neural network training, the mapping relationship between architectural design parameters and building performance is established, and based on this mapping, the optimal design parameters of the building are calculated. The research results have a certain reference value for architectural design optimization.

Background Ventilator-associated pneumonia is a challenge in critical care and is associated with high mortality and morbidity. Although some consensuses on preventing ventilator-associated pneumonia are reached, it is still somewhat controversial. Meta-analysis has shown that postpyloric tube feeding may reduce the incidences of ventilator-associated pneumonia, which still desires high-quality evidence. This trial aims to evaluate the efficacy and safety profiles of postpyloric tube feeding versus gastric tube feeding. Methods/design In this multicenter, open-label, randomized controlled trial, we will recruit 924 subjects expected to receive mechanical ventilation for no less than 48 h. Subjects on mechanical ventilation will be randomized (1:1) to receive postpyloric or gastric tube feeding and routine preventive measures simultaneously. The primary outcome is the proportion of patients with at least one ventilator-associated pneumonia episode. Adverse events and serious adverse events will be observed closely. Discussion The VIP study is a large-sample-sized, multicenter, open-label, randomized, parallel-group, controlled trial of postpyloric tube feeding in China and is well-designed based on previous studies. The results of this trial may help to provide evidence-based recommendations for the prevention of ventilator-associated pneumonia. Trial registration Chictr.org.cn ChiCTR2100051593. Registered on 28 September 2021

Background Diffuse large B-cell lymphoma (DLBCL) is a highly heterogeneous malignancy with varied outcomes. However, the fundamental mechanisms remain to be fully defined. Aim We aimed to identify core differentially co-expressed hub genes and perturbed pathways relevant to the pathogenesis and prognosis of DLBCL. Methods We retrieved the raw gene expression profile and clinical information of GSE12453 from the Gene Expression Omnibus (GEO) database. We used integrated bioinformatics analysis to identify differentially co-expressed genes. The CIBERSORT analysis was also applied to predict tumor-infiltrating immune cells (TIICs) in the GSE12453 dataset. We performed survival and ssGSEA (single-sample Gene Set Enrichment Analysis) (for TIICs) analyses and validated the hub genes using GEPIA2 and an independent GSE31312 dataset. Results We identified 46 differentially co-expressed hub genes in the GSE12453 dataset. Gene expression levels and survival analysis found 15 differentially co-expressed core hub genes. The core genes prognostic values and expression levels were further validated in the GEPIA2 database and GSE31312 dataset to be reliable (p < 0.01). The core genes’ main KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway enrichments were Ribosome and Coronavirus disease-COVID-19. High expressions of the 15 core hub genes had prognostic value in DLBCL. The core genes showed significant predictive accuracy in distinguishing DLBCL cases from non-tumor controls, with the area under the curve (AUC) ranging from 0.992 to 1.00. Finally, CIBERSORT analysis on GSE12453 revealed immune cells, including activated memory CD4+ T cells and M0, M1, and M2-macrophages as the infiltrates in the DLBCL microenvironment. Conclusion Our study found differentially co-expressed core hub genes and relevant pathways involved in ribosome and COVID-19 disease that may be potential targets for prognosis and novel therapeutic intervention in DLBCL.

With its complex pathogenesis and high mortality, acute lung injury (ALI) is closely associated with a poor prognosis in critically ill patients. The present study used network pharmacology to investigate the mass spectrometry (MS) behaviors and molecular mechanisms of Amadori compounds acting on ALI and diabetes.Two typical Amadori compounds (Fru-Trp and Glc(α1,4)-Fru-Trp) were used to study the fragmentation mechanisms by tandem MS in negative and positive-ion modes. The potential targets of Amadori compounds on ALI were screened from a public database. R package was used for the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses, and the protein-protein interactions (PPIs) of the targets were evaluated by Search Tool for the Retrieval of Interacting Genes (STRING). Finally, molecular docking was implemented to analyze the binding energies and action modes of the target compounds through the online tool CB-Dock.In relation the common precursor ions of the Amadori compounds, the sodium adducting cations provided the most abundant fragmentation information in c for analyzing their chemical structures. 103 and 109 intersecting targets of glucose-Amadori and maltose-Amadori, respectively, were separately identified in the ALI database, and significant overlaps between the GO terms and KEGG pathways were noted. Three shared hub targets (i.e., vascular endothelial growth factor A, caspase-3, and proto-oncogene tyrosine-protein kinase) were selected from the 2 PPI networks by STRING. The molecular docking results showed that the Amadori compounds had good binding potential to the hub target proteins, and that Amadori compounds had lower binding energies and more stable conformations than their corresponding carbohydrates.As the endogenous compounds in diabetes, Amadori compounds may act on and activate a wide range of protein receptors, which may also produce bi-directional regulatory effects that influence ALI progression. Thus, the risk factors of diabetes in the progression of ALI should be carefully assessed, and the molecular mechanisms of Amadori compounds in animal models for ALI should be further verified.

BackgroundChronic lymphocytic leukemia (CLL) is a group of highly heterogeneous mature B cell malignancy with various disease courses and diagnoses. Super-enhancer(SE) is a novel concept drew in recent years which is a cluster of enhancers involved in cell differentiation and tumorigenesis ,and is one of the promising therapeutic targets for cancer therapy. Although there is a multitude of prognostic markers in CLL, insights into the role of super-enhancer(SE)-related risk indicators are still lacking.MethodsThe CLL-related super-enhancers in training database were processed by Lasso penalized Cox regression analysis to screen a nine-gene prognostic model. And the associations between all of the individual markers and OS of CLL were assessed by Cox regression analysis. Besides, in order to understand the connection between individual genes and selected disease characteristics, like IGHV mutation status, FISH abnormality, and ZAP70 expression level, we performed correlation analysis.ResultsA nine-gene prognostic model was screened, including TCF7, VEGFA, MNT, GMIP, SLAMF1, TNFRSF25, GRWD1, SLC6AC, and LAG3. A SE-related risk score was further constructed and the robust predictive performance with 5-year survival and time-to-treatment (TTT) area under the curve(AUC): 0.997 and 1.000 in the training database and 0.628 and 0.673 in the testing database, respectively. Besides, a high correlation was found between the risk score and known prognostic markers of CLL, including the mutational status of immunoglobulin variable region loci (IGHV), chromosomal abnormalities, and ZAP70 expression. Meantime, we noticed that the expression of TCF7, GMIP, SLAMF1, TNFRSF25, and LAG3 in CLL were different from healthy donors(PConclusionTherefore, the SE-associated nine-gene prognostic model developed here may be used to predict the prognosis and assist in the risk stratification of CLL patients in the future.

Background The germinal center B‐cell (GCB) and activated B‐cell (ABC) subtypes of diffuse large B‐cell lymphoma (DLBCL) have a significant difference in prognosis. This study aimed to identify potential hub genes, and key pathways involved in them. Methods Databases including Gene Expression Omnibus (GEO), Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and STRING were accessed to obtain potential crucial genes and key pathways associated with the GCB and ABC. Then qRT‐PCR and Western blot experiments were performed to verify the most clinically significant gene and pathway. Results Three cohort datasets from the GEO database were analyzed, including 195 GCB and 169 ABC samples. We identified 1113 differentially expressed genes (DEGs) between the GCB and ABC subtypes. The DEGs were mainly enriched in biological processes (BP). The KEGG analysis showed enrichment in cell cycle and Wnt signaling pathways. We selected the top 10 genes using the STRING database and Cytoscape software. We used 5 calculation methods of the cytoHubba plugin, and found 3 central genes (IL‐10, CD44, CCND2). CCND2 was significantly related to the prognosis of DLBCL patients. Besides, our experimental results demonstrated a significantly higher expression of CCND2 in the ABC‐type cell line than in the GCB‐type; it was proportional to the expression of key proteins in the Wnt signaling pathway. Conclusion CCND2 overexpression and Wnt pathway activation might be the main reasons for the poor prognosis of ABC‐DLBCL., The study revealed that CCND2 overexpression and Wnt pathway activation may be factors of the poor prognosis of ABC‐subtype DLBCL by integrative bioinformatic analysis and basic experiments.

Cardiac surgery-associated acute kidney injury (AKI) can increase the mortality and morbidity, and the incidence of chronic kidney disease, in critically ill survivors. The purpose of this research was to investigate possible links between urinary metabolic changes and cardiac surgery-associated AKI.Using ultra-high-performance liquid chromatography coupled with Q-Exactive Orbitrap mass spectrometry, non-targeted metabolomics was performed on urinary samples collected from groups of patients with cardiac surgery-associated AKI at different time points, including Before_AKI (uninjured kidney), AKI_Day1 (injured kidney) and AKI_Day14 (recovered kidney) groups. The data among the three groups were analyzed by combining multivariate and univariate statistical methods, and urine metabolites related to AKI in patients after cardiac surgery were screened. Altered metabolic pathways associated with cardiac surgery-induced AKI were identified by examining the Kyoto Encyclopedia of Genes and Genomes database.The secreted urinary metabolome of the injured kidney can be well separated from the urine metabolomes of uninjured or recovered patients using multivariate and univariate statistical analyses. However, urine samples from the AKI_Day14 and Before_AKI groups cannot be distinguished using either of the two statistical analyses. Nearly 4000 urinary metabolites were identified through bioinformatics methods at Annotation Levels 1-4. Several of these differential metabolites may also perform essential biological functions. Differential analysis of the urinary metabolome among groups was also performed to provide potential prognostic indicators and changes in signalling pathways. Compared with the uninjured kidney group, the patients with cardiac surgery-associated AKI displayed dramatic changes in renal metabolism, including sulphur metabolism and amino acid metabolism.Urinary metabolite disorder was observed in patients with cardiac surgery-associated AKI due to ischaemia and medical treatment, and the recovered patients' kidneys were able to return to normal. This work provides data on urine metabolite markers and essential resources for further research on AKI.

Multiple myeloma is a clonal B-lymphocyte tumor of terminally differentiated plasma cells.

Background The performance of urinary N-acetyl-β-D-glucosaminidase (uNAG) for the detection of acute kidney injury (AKI) was controversial. uNAG is positively correlated with blood glucose levels. Hyperglycemia is common in the critically ill adults. The influence of blood glucose levels on the accuracy of uNAG in AKI detection has not yet been reported. The present study evaluated the effect of blood glucose levels on the diagnostic accuracy of uNAG to detect AKI. Methods A total of 1585 critically ill adults in intensive care units at three university hospitals were recruited in this prospective observational study. uNAG, serum glucose, and glycosylated hemoglobin (HbA1c) were measured at ICU admission. Patients were categorized based on the history of diabetes and blood glucose levels. The performance of uNAG to detect AKI in different groups was assessed by the area under the receiver operator characteristic curve. Results Four hundred and twelve patients developed AKI, of which 109 patients were severe AKI. uNAG was significantly correlated with the levels of serum glucose (P 0.05). Stratification for stress hyperglycemic demonstrated similar results.However, among non-diabetic patients, the optimal cut-off value of uNAG for detecting AKI was higher in stress hyperglycemic patients as compared to those without stress hyperglycemia. Conclusions The blood glucose levels did not significantly affect the performance of uNAG for AKI detection in critically ill adults. However, the optimal cut-off value of uNAG to detect AKIwas affected by stress hyperglycemia in non-diabetic patients. Electronic supplementary material The online version of this article (10.1186/s12882-019-1381-3) contains supplementary material, which is available to authorized users.

Objective This study sought to quantify the learning curve for the blind bedside postpyloric placement of a spiral tube in critically ill patients. Methods We retrospectively analysed 127 consecutive experiences of three intensivists who performed comparable procedures of blind bedside postpyloric placement of a spiral tube subsequent to failed self-propelled transpyloric migration in a multicentre study. Each intensivist’s cases were divided chronologically into two groups for analysis. The assessment of the learning curve was based on efficiency and safety outcomes. Results All intensivists achieved postpyloric placement for over 80% of their patients. The junior intensivist showed major improvement in both efficiency and safety outcomes, and the learning curve for both outcomes was approximately 20 cases. The junior intensivist showed a significant increase in the success rate of proximal jejunum placement and demonstrated a substantial decrease in the major adverse tube-associated events rate. The time to insertion significantly decreased in each intensivist as case experience accumulated. Conclusions Blind bedside postpyloric placement of a spiral tube involves a significant learning curve, indicating that this technique could be readily acquired by intensivists with no previous experience using an adequate professional training programme.

Objective: Serum cystatin C (sCysC) used clinically for detecting early acute kidney injury (AKI) was reported to be independently associated with hemoglobin (HbA1c) levels, diabetes, and prediabetes. We aimed to assess the influence of HbA1c levels, diabetes, or prediabetes on the performance of sCysC for AKI detection in critically ill adults. Methods: A prospective observational study was conducted in a mixed medical-surgical intensive care unit (ICU). Patients were divided into four quartiles based on levels of HbA1c or serum glucose at ICU admission, respectively. Additionally, patients were stratified into four subgroups according to HbA1c levels and history of diabetes, namely recognized diabetes (previous diagnosis of diabetes), unrecognized diabetes, prediabetes, and normal glycemic status. Comparisons were made using the area under the receiver operator characteristic curve (AUC) for AKI detection, and reassessed after patient stratification by above-mentioned glycemic status. Results: Multivariable linear regression revealed that HbA1c levels and history of diabetes were positively related with sCysC (all p .05), sCysC yielded the highest AUCs for detecting AKI in diabetic patients. Moreover, higher optimal cutoff values of sCysC to detect AKI were observed in patients with versus without diabetes. Conclusion: Glycemic status has no significant impact on the accuracy of sCysC for AKI detection in critically ill adults and a higher optimal cutoff value of sCysC for AKI detection should be considered in diabetic patients.

Background: The pandemic of novel coronavirus disease 2019 (COVID-19) has become a serious public health crisis worldwide. The symptoms of COVID-19 vary from mild to severe among different age groups, but the physiological changes related to COVID-19 are barely understood. Methods: In the present study, a high-resolution mass spectrometry (HRMS)-based lipidomic strategy was used to characterize the endogenous plasma lipids for cured COVID-19 patients with different ages and symptoms. These patients were further divided into two groups: those with severe symptoms or who were elderly and relatively young patients with mild symptoms. In addition, automated lipidomic identification and alignment was conducted by LipidSearch software. Multivariate and univariate analyses were used for differential comparison. Results: Nearly 500 lipid compounds were identified in each cured COVID-19 group through LipidSearch software. At the level of lipid subclasses, patients with severe symptoms or elderly patients displayed dramatic changes in plasma lipidomic alterations, such as increased triglycerides and decreased cholesteryl esters (ChE). Some of these differential lipids might also have essential biological functions. Furthermore, the differential analysis of plasma lipids among groups was performed to provide potential prognostic indicators, and the change in signaling pathways. Conclusions: Dyslipidemia was observed in cured COVID-19 patients due to the viral infection and medical treatment, and the discharged patients should continue to undergo consolidation therapy. This work provides valuable knowledge about plasma lipid markers and potential therapeutic targets of COVID-19 and essential resources for further research on the pathogenesis of COVID-19.

Background: Identification of occlusion mechanism before endovascular treatment (EVT) is of great significance for intracranial large vessel occlusion stroke (ILVOs). Cardioembolism occlusion and large-artery atherosclerosis are the two common etiologies of ILVOs. However, there is few of valid methods to predict the two etiologies of ILVOs before EVT. Methods: We evaluated retrospectively two etiologies of ILVOs: intracranial atherosclerosis stenosis-related occlusion (ICAS-O) and embolism-related occlusion( EMB-O) in a cohort of patients at a national comprehensive stroke centre database of China over a 77-month period. Patients were divided at a ratio of 2:1 randomly into the training and the validation cohorts. We derived a score for ILVOs in the derivation cohort of patients , and assessed the score in the validation cohort. Results: We identified 608 from 662 patients with ILVOs who received EVT in the study period. Subsequent to adjustment for confounding factors, atrial fibrillation. (AF) (no vs. yes, OR=27·29, 95%CI: 13·27-56·09), hypertension (yes vs. no, OR=2·90, 95%CI: 1·34-6·26), diabetes mellitus (DM) (yes vs. no, OR=2·80, 95%CI: 1·45-5·42), National Institutes of Health Stroke Scale(NIHSS) (

The aim of traffic flow design in commercial building space planning is to create a comfortable, easily accessible, and identifiable spatial structure in a complex and changeable business environment. However, modern commercial building spaces often appear to be inconsistent with the usage requirements after they are put into use. To understand the real experience evaluation of users, this study selects the commercial project “Guangzhou Nanpu Times Commercial Building Space” as its subject. Based on post-occupancy evaluation (POE), this study uses the analytic hierarchy process (AHP) to construct an evaluation index system of commercial building space traffic flow. The weights and satisfaction scores of the indexes are calculated through expert interviews and questionnaires to analyze the evaluation and reasons for the commercial building space traffic flow design after using the facilities. We thereby obtain the design points of commercial building space traffic flow to provide a scientific, reasonable, and practical basis for the subsequent design of the same type of traffic flow to drive the prosperity and development of commerce.

BackgroundIt is not clear whether there are valuable inflammatory markers for prognosis judgment in the intensive care unit (ICU). We therefore conducted a multicenter, prospective, observational study to evaluate the prognostic role of inflammatory markers.MethodsThe clinical and laboratory data of patients at admission, including C-reactive protein (CRP), were collected in four general ICUs from September 1, 2018, to August 1, 2019. Multivariate logistic regression was used to identify factors independently associated with nonsurvival. The area under the receiver operating characteristic curve (AUC-ROC), net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were used to evaluate the effect size of different factors in predicting mortality during ICU stay. 3 -knots were used to assess whether alternative cut points for these biomarkers were more appropriate.ResultsA total of 813 patients were recruited, among whom 121 patients (14.88%) died during the ICU stay. The AUC-ROC values of PCT and CRP for discriminating ICU mortality were 0.696 (95% confidence interval [CI], 0.650–0.743) and 0.684 (95% CI, 0.633–0.735), respectively. In the multivariable analysis, only APACHE II score (odds ratio, 1.166; 95% CI, 1.129–1.203;P = 0.000) and CRP concentration > 62.8 mg/L (odds ratio, 2.145; 95% CI, 1.343–3.427;P = 0.001), were significantly associated with an increased risk of ICU mortality. Moreover, the combination of APACHE II score and CRP > 62.8 mg/L significantly improved risk reclassification over the APACHE II score alone, with NRI (0.556) and IDI (0.013). Restricted cubic spline analysis confirmed that CRP concentration > 62.8 mg/L was the optimal cut-off value for differentiating between surviving and nonsurviving patients.ConclusionCRP markedly improved risk reclassification for prognosis prediction.

Garlic polysaccharides are great potential agents because of their anti-inflammation, antioxidation, and immunomodulation properties. However, few studies have reported their anti-inflammatory effects on improving the colon system and corresponding intestinal microbiota. Herein, a water-soluble garlic polysaccharide (WSGP) was extracted from Jinxiang garlic to evaluate its effects on ameliorating dextran sulfate sodium (DSS)-induced colitis in a mouse model. The results showed that (1) after administration of the WSGP (200 or 400 mg/kg/day), the feed intake, body weight, and colon length of colitic mice were increased, while the disease activity index and the histological score of colitic mice were decreased; (2) the WSGP reduced the colonic tissue damage and inhibited the expression of inflammatory factors (interleukin 6, interleukin 1 beta , and tumor necrosis factor alpha); and (3) the WSGP enhanced the production of short-chain fatty acids and improved the composition of intestinal microbiota. The key microorganisms, including Muribaculaceae, Lachnospiraceae

Background: Despite the essential functions of the intestinal microbiota in human physiology, little research was reported on gut microbiota alterations in intensive care patients. This investigation examined the dysbacteriosis of intestinal flora in critically ill patients and evaluated the prognostic performance of this dysbiosis to predict in-hospital mortality. Methods: A prospective cohort of patients were consecutively recruited in the Intensive Care Units (ICUs) in Guangdong Provincial People’s Hospital from March 2017 through October 2017. Acute Physiology and Chronic Health Evaluation (APACHE) II score and Sequential Organ Failure Assessment (SOFA) score were assessed, and fecal samples were taken for examination within 24 hours of ICU admission. The taxonomic composition of the intestinal microbiome was determined using 16S rDNA gene sequencing. Patients were divided into survival and death groups based on hospital outcomes. The two groups were statistically compared using the Wilcoxon test and Metastats analysis. The genera of bacteria showing significantly different abundance between groups were assessed as predictors of in-hospital death. The prognostic value of bacterial abundance alone and in combination with APACHE II or SOFA score was evaluated using the area under the receiver operating characteristic curve (AUROC). Results: Among the 61 patients examined, 12 patients (19.7%) died during their hospital stay. Bifidobacterium abundance was higher in the survival group than the death group (P = 0.031). The AUROC of Bifidobacterium abundance in identifying in-hospital death at a cut-off probability of 0.0041 was 0.718 (95% confidence interval [CI], 0.588-0.826). The panel of Bifidobacterium abundance plus SOFA (AUROC, 0.882; 95% CI, 0.774-0.950) outperformed SOFA (AUROC, 0.649; 95% CI, 0.516-0.767; P = 0.012) and Bifidobacterium abundance alone (P = 0.007). The panel of Bifidobacterium abundance plus APACHE II (AUROC, 0.876; 95% CI, 0.766-0.946) outperformed APACHE II (AUROC, 0.724; 95% CI, 0.595-0.831; P = 0.035) and Bifidobacterium abundance alone (P = 0.012). Conclusions: Dysbiosis of intestinal microbiota with variable degrees of reduction in Bifidobacterium abundance exhibited promising performance in the predicting of in-hospital mortality and provides incremental prognostic value to existing scoring systems in the adult intensive care unit (ICU) setting.

Chimeric antigen receptor (CAR) T cell therapy improves the remission rate of refractory/relapsed B-acute lymphoblastic leukemia (R/R B-ALL) patients, but the relapse rate remains high. Recent studies suggest patients who underwent post-chimeric antigen receptor T cell therapy hematopoietic stem cell transplantation (post- HSCT) would achieve durable remission and better survival, but this remains controversial. To this end, we conducted a meta-analysis to assess the role of post-HSCT in R/R B-ALL. The Cochrane Library, Embase, and PubMed were used to identify relevant studies; the latest search update was on July 05, 2020. We used the Cochran Q test and I-squared statistics to test for heterogeneity among the studies analyzed. The fixed model and random model were used to combine results when appropriate. We performed all statistical analyses with Stata 12, and P < 0.05 was considered statistically significant. We included 18 studies with 758 patients in the meta-analysis. Our results indicated that post-HSCT was associated with lower relapse rate (RR: 0.40, 95% CI: 0.32-0.50, P = 0.000), better overall survival (HR: 0.37, 95% CI: 0.19-0.71, P = 0.003), better leukemia-free survival (HR: 0.20, 95% CI: 0.10-0.40, P = 0.000). However, post-HSCT did not influence OS in Caucasians, and CAR-T cells with CD28 co-stimulation factor bridged to HSCT did not influence OS. Post-HSCT decreased the relapse rate and improved the long-term survival of R/R B-ALL patients. R/R B-ALL patients would benefit from post-HSCT after CAR-T cell therapy.

Background: Hemophagocytic lymphohistiocytosis (HLH) a hyperinflammation disease and have high early mortality. The neutrophil-lymphocyte ratio (NLR) plays a prognostic role in various inflammation conditions. However, the role of NLR in HLH remains unknown.Results: 92 patients were collected from Sep 2014 to Dec 2019, the median age was 50 years (16-88) and 54 patients (58.6%) were male. 39 patients (42.3%) died during a 30-day follow-up. In addition, NLR was higher in nonsurvivor than survivor (P=0.005), higher NLR was correlated with older age (P=0.020), worse survival status (P=0.006), lower HB level (P=0.008), longer PT level (P=0.010), higher creatinine level (0.027) and higher IL-6 level (P=0.008)and in multivariate analysis, NLR (HR=2.508, 95%CI: 1.275-4.934), was indicated as an independent prognostic factor for early death. Conclusions: NLR was correlated with early death in HLH, suggest NLR could be used as a reference indicator for the monitoring and management of HLH.

Background: Despite the essential functions of the intestinal microbiota in human physiology, little research has been reported on the gut microbiota alteration in intensive care patients. This investigation aimed to explore the dysbacteriosis of intestinal flora in critically ill patients, and evaluate the prognostic performance of this dysbiosis to predict in-hospital mortality. Methods: A prospective cohort of patients were consecutively recruited at Intensive Care Units (ICUs) in Guangdong Provincial People's Hospital from March 2017 through October 2017. Acute Physiology and Chronic Health Evaluation (APACHE) II score and Sequential Organ Failure Assessment (SOFA) score were assessed, and fecal samples were taken for examination within 24 hours of ICU admission. The taxonomic composition of intestinal microbiome was determined using 16S rDNA gene sequencing. Patients were divided into survival and death group based on the outcomes in hospital. The two groups were statistically compared using the independent samples t test and Metastats analysis. Genera of bacteria showing significantly different abundance between groups were assessed for predictors of in-hospital death. The prognostic value of bacterial abundance alone and in combination with APACHE II or SOFA score were evaluated using the area under the receiver operating characteristic curve (AUROC). Results: Among the 61 patients that were examined, a total of 12 patients (19.7%) died during hospital stay. Bifidobacterium differed significantly in abundance between survival and death group ( P =0.031). The AUROC of Bifidobacterium abundance identifying in-hospital death at a cut-off probability of 0.0041 was 0.718 (95% confidence interval [CI], 0.588-0.826). The panel of Bifidobacterium abundance plus SOFA (AUROC, 0.882; 95% CI, 0.774-0.950) outperformed SOFA (AUROC, 0.649; 95% CI, 0.516-0.767; P =0.012) and Bifidobacterium abundance alone ( P =0.007). The panel of Bifidobacterium abundance plus APACHE II (AUROC, 0.876; 95% CI, 0.766-0.946) outperformed APACHE II (AUROC, 0.724; 95% CI, 0.595-0.831; P =0.035) and Bifidobacterium abundance alone ( P =0.012). Conclusions: Dysbiosis of intestinal microbiota with variable degree of reduction in Bifidobacterium abundance exhibits promising performance in predicting in-hospital mortality, and provides incremental prognostic value to existing scoring systems in the adult intensive care unit (ICU) setting.

Additional file 1: Supplementary Table 1 Area under the ROC curve for inflammatory markers and clinical scoring systems at ICU admission in discriminating ICU mortality.

Additional file 2.

ObjectiveChanges in thyroid function will be accompanied by changes in urinary N-acetyl-β-D-glucosaminidase (uNAG) levels. Therefore, whether thyroid hormones interfere the ability of uNAG in detecting acute kidney injury (AKI) has raised concern in patients with critical illness.DesignA prospectively recruited, observational study was performed.SettingAdults admitted to the intensive care unit of a grade A tertiary hospital in China.ParticipantsA total of 1919 critically ill patients were enrolled in the study.Main outcome measuresTo investigate the variations of the ability of uNAG to detect AKI in patients with critical illness under different thyroid hormones levels (differences in area under the curve (AUC) for uNAG diagnosis and prediction of AKI with different thyroid hormones levels).ResultsThe bivariate correlation analysis revealed that FT3 and TT3 levels were independently associated with uNAG levels (p0.05).ConclusionsEven if uNAG levels varied with FT3 and TT3 levels, these hormones did not interfere with uNAG’s ability to detect AKI in patients with critical illness.

This paper takes the old district of the east Huan Shi Road area in the Yuexiu District, Guangzhou City, as an example. Through field research, resident visits, and expert interviews, the secondary and tertiary indicators in the measurement framework were obtained by combining six years of living experience. The questionnaire was designed through the relationship between the indicators, and a small sample test was conducted to test the results before generating the final questionnaire. The questionnaires were distributed both online and offline, and the data were analysed in conjunction with the Kano model; then, the results were compared with the field research. Based on the perspective of living experience, a sustainable renewal strategy is proposed for the renovation of old neighbourhoods in practice.

Currently, low-pressure gas (carbon dioxide and nitrogen) adsorption experiments have been widely applied to describe pore structure features of shales. However, there are no standard models in calculations of pore structure parameters from low-pressure gas adsorption experiments, which limits comparison between various studies. To evaluate the applicability of calculating methods, 9 Chang 7 shale samples were performed gas adsorption experiments and pore structure parameters are obtained using Monte Carlo simulation (MC), Density Functional Theory (DFT) and Barrett-Joyner-Halenda (BJH) methods. The results show that MC and DFT can accurately characterize micropore structures, but MC model provides a wider pore size range than DFT. Therefore, we recommend that MC method should be used to get micropore parameters from CO2 adsorption data. Under the influence of tensile strength effect (TSE), a fake peak located at ~3.8 nm in pore size distribution (PSD) lines obtained from N2 desorption curves with BJH model, and an overestimation for pore structure parameters in meso-to macropore dimension based on this method was found. This phenomenon implied that the parameters from N2 desorption using BJH model are not applicable for the calculation of parameters for pore structure. What's more, compared with DFT method, BJH model based on adsorption curve ignores the effect of adsorption potential on location of pore condensation transition, which may lead to an underestimation of the shale pore structure parameters in narrow mesopore range (

Long non-coding RNAs (lncRNAs) have been demonstrated that they not only play important roles in tumorgenicity but also associate with cancer prognosis. Recently, highly up-regulated in liver cancer (HULC) is abnormally expressed in liver cancer and other cancers, and participated in cancers progression; however, it is unclear whether its expression is associated with prognosis. Here, we performed a meta-analysis and systematic review to evaluate the prognostic value and metastasis of HULC in various cancer patients. The meta-analysis was performed using a systematic search of PubMed, Web of Science, ScienceDirect and Wiley Online Library database to eligible studies. The pooled hazard ratios (HRs) with a 95% confidence interval (95% CI) were calculated to assess its prognosis and metastasis in human cancer. A total of 1134 patients from 11 studies were included. The results indicated that overexpression of HULC was associated with poor overall survival (OS) (HR = 1.89, 95% CI: 1.32-2.47). Furthermore, subgroup analysis showed that cancer type (digestive system cancer or non-digestive system cancers) and sample size (more or less than 100) significantly associated between HULC and OS. In addition, overexpression of HULC expression was significantly associated with metastasis in cancers (HR = 2.67, 95% CI: 0.94-4.39). The meta-analysis indicated that lncRNA HULC could serve as a new molecular marker for cancer prognosis and metastasis.

The differential expression of soluble programmed death ligand 1 (sPD-L1) has been found in some cancers; however, the correlation between sPD-L1 expression and prognosis value in tumour is still unclear. Here, we conducted a meta-analysis and systematic review to assess the prognostic value of sPD-L1 in patients with cancer. Eligible studies were searched for in the databases including PubMed, Web of Science, ScienceDirect and Wiley Online Library database. The pooled hazard ratios (HRs) with a 95% confidence interval (95%CI) were calculated to assess the prognostic significance of sPD-L1 in human cancer. Eight studies and 1102 patients with cancer were included in the final analysis, and the combined analysis indicated that a higher level of sPD-L1 was associated with worse overall survival (OS) (HR = 1.60, 95%CI: 1.21-1.99). Furthermore, statistical significance was also observed in subgroup analysis stratified by the cancer type (haematological neoplasms or non-haematological neoplasms), sample size (more or less than 100), cut-off value of sPD-L1 (more or less than 6.51 ng/ml) and ethnicity (Asian or European). The meta-analysis indicates that circulating sPD-L1 changes may serve as a useful biomarker for cancer prognosis, and higher level of sPD-L1 may also be associated with poor outcomes in patients with cancer.

BackgroundElevated red blood cell distribution width (RDW) and decreased platelet count (PLT) can be clinically relevant to the prognosis in cancer patients. However, their prognostic values in patients with diffuse large B-cell lymphoma (DLBCL) need to be further explored.MethodsHealthy donors (n = 130) and patients with DLBCL (n = 349) were included and evaluated retrospectively in this study. The prognostic influence of clinical and pathological factors including RDW and PLT on overall survival (OS) and progression-free survival (PFS) were studied by Kaplan-Meier curves. To evaluate the independent prognostic relevance of RDW and PLT, univariate and multivariate Cox proportional hazards regression models were applied. The adjusted IPI model was established based on the results of multivariate analysis, and verified by Harrell’s C statistical analysis.ResultsKaplan-Meier curves indicated that an elevated RDW value and thrombocytopenia are poor factors for OS (P P = 0.006) and PFS (P = 0.003,P P = 0.003) and decreased PLT count (HR =1.749, 95%CI = 1.010–3.028,P = 0.046) were both independent prognostic factors. The c-index of IPI and NCCN-IPI were increased when RDW level and PLT were supplemented in our cohort.ConclusionsOur study shows that elevated RDW level and decreased PLT are independent poor prognostic factors in newly diagnosed DLBCL patients. Adding RDW and PLT to the IPI score may improve its predictive ability, and the adjusted IPI may be more powerful in predicting the survival of DLBCL patients in the rituximab era.

Background Gingival metastasis from primary hepatocellular cancer (HCC) is rare, highly malignant, and generally has no distinct symptoms. Not performing a biopsy can lead to misdiagnosis. This article reports an 87-year-old male with gingival metastasis from HCC. To gain a better insight into this disease, we also conducted a literature review of 30 cases and discussed the clinical and pathological characteristics, diagnosis, treatment and prognosis of this unusual form of liver cancer. Case presentation An 87-year-old man was hospitalized with a chief complaint of chronic constipation and diffuse lower extremity edema. His past medical history included a three-year hepatitis B infection and a cerebral infarction 17 years prior. Imaging examination detected a massive hepatocellular carcinoma in the right liver lobe and multiple metastases in the lungs. Oral examinations revealed a reddish, cherry-sized exophytic mass on the right upper gum. The mass was tentatively diagnosed as a primary gingival tumor and was ultimately confirmed by biopsy as a metastatic carcinoma originating in the liver. The patient decided, with his guardians, to receive palliative care and not to remove the mass. Unfortunately, the patient accidentally bit the mass open; profuse bleeding ensued and local pressure exerted a poor hemostatic effect. The patient’s condition worsened, and he eventually died of multiple organ failure. We also performed a literature review and discussed 30 cases of gingival metastases from HCC. The findings indicated that these lesions affected males more than females, with a ratio of 6:1, and infiltrated the upper gingivae (63.1%) more than the lower gingivae (36.7%). Survival analysis indicated that the overall survival for patients with upper gingival metastasis was worse than for those with lower gingival metastasis, and patients receiving treatments for primary liver cancer or metastatic gingival tumors had better overall or truncated survival times. Conclusion Gingival metastasis from primary hepatocellular carcinoma is rare, and its diagnosis has presented challenges to clinicians. To avoid a potential misdiagnosis, a biopsy is mandatory regardless of whether a primary cancer is located. Early diagnosis and treatment for primary liver cancer or metastatic gingival lesions may improve survival expectations.

Table S3. AUCs for AKI stratified according to HbA1c levels and history of diabetes. (DOC 51 kb)

Table S1. Performance of uNAG in detecting AKI in quintile of admission serum glucose concentrations. (DOC 43 kb)

Table S1. Detection of AKI using Cys C by quintiles of FT4. (DOCX 20 kb)

Additional file 1: Figure S1. ROC curves analysis for RDW(a) and PLT(b) in the training set (N=200) of patients with DLBCL. Figure S2. Correlation between RDW, PLT and WBC, NLR, ALB, HB levels in all patients with DLBCL. Correlation between RDW and WBC(a), NLR(b), ALB(c) and HB(d) levels in all patients with DLBCL. (2)Correlation between PLT and WBC(e), NLR(f), ALB(g) and HB(h) levels in all patients with DLBCL. Figure S3. Correlation between HB and WBC(a), NLR(b) and ALB(c) levels in all patients with DLBCL. Figure S4. Survival curves according to RDW and PLT levels in the training, overall and testing set. (1)OS(a,c) and PFS(b,d) according to the RDW and PLT levels in the training set. (2)OS(e,g) and PFS(f,h) according to the RDW and PLT levels in the overall set. (3)OS(i,k) and PFS(j,l) according to the RDW and PLT levels in the testing set. Figure S5. Kaplan–Meier curves for OS and PFS comparing low (12 g/dL for women, >13 g/dL for men) Hb levels in the training(a,b), overall(c,d), testing set(e,f), CHOP cohort(g,h) and R-CHOP cohort(i,j). Figure S6. Survival curves according to RDW and PLT levels in CHOP cohort and the whole cohort with IPI score 3-5. (1) OS(a,c) and PFS(b,d) according to RDW levels and PLT counts in CHOP cohort with IPI score 3-5. (2) OS(e,g) and PFS(f,h) according to RDW levels and PLT counts in the whole cohort with IPI score 3-5. Table S1. Clinical characteristics of healthy donors and DLBCL patients. Table S2. Baseline clinical characteristics of patients with DLBCL. Table S3. Univariate analysis of clinicopathological parameters for the prediction of OS and PFS in CHOP cohort patients(n=175). Table S4. Univariate analysis of clinicopathological parameters for the prediction of OS and PFS in RCHOP cohort patients(n=174).

Table S4. Performance of NAG in detecting AKI by quartile of HbA1c. (DOC 40 kb)

Table S2. AUCs for AKI stratified according to admission serum glucose in diabetic patients. (DOC 35 kb)

// Linhui Hu 1 , Manman Li 1 , Yangyang Ding 1 , Lianfang Pu 1 , Jun Liu 1 , Jingxin Xie 2 , Michael Cabanero 3 , Jingrong Li 4 , Ru Xiang 5 and Shudao Xiong 1 1 Department of Hematology/Hematological Lab, The Second Hospital of Anhui Medical University, Hefei, Anhui, People’s Republic of China 2 Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Fudan University, Shanghai, People’s Republic of China 3 University Health Network, University of Toronto, Ontario, Canada 4 Department of Emergency, The Second Hospital of Anhui Medical university, Hefei, Anhui, People’s Republic of China 5 School of Nursing, Anhui Medical University, Hefei, Anhui, People’s Republic of China Correspondence to: Shudao Xiong, email: // Keywords : red blood cell distribution width, prognosis, cancer, meta-analysis Received : August 15, 2016 Accepted : November 22, 2016 Published : December 02, 2016 Abstract Red blood cell distribution width (RDW), a parameter that used to differentiate the type of anemia for several decades, recent studies suggest it was a prognostic factor in various types of cancer patients. However, the prognostic value of RDW in cancer patients remains controversial. Here, we performed a meta-analysis and systematic review to evaluate the prognostic value of RDW in cancer patients. Relevant studies were picked out from the databases of Web of Science, Embase, Pubmed and Cochrane Library. A total of 16 papers with 4267 patients were included in this meta-analysis, and the combined results indicated that elevated RDW was associated with poor over survival (OS) (HR = 1.47, 95%CI:1.29-1.66), poor cancer-specific survival (CSS) (HR = 1.46, 95%CI:1.08-1.85), poor disease-free survival (DFS) (HR = 1.91, 95%CI:1.27-2.56), poor event-free survival (EFS) (HR = 2.98, 95%CI:0.57-5.39) and poor progress-free survival (PFS) (HR = 3.21, 95%CI:0.33-6.75) after treatment. Furthermore, the similar results were observed in subgroup analysis stratified by cancer type, cutoff value of RDW, sample size and ethnicity. In conclusion, this meta-analysis demonstrated that RDW may be a potential prognostic marker in patients with cancer, and high RDW may also be associated with poor outcomes.

Background: In the hematology department, the availability of biomarkers for early detection of infection is difficult to obtain. The present study aimed to compare the diagnostic values of neutrophil CD64 Index, procalcitonin (PCT), interleukin-6 (IL-6) and C-reactive protein (CRP) and to determine whether the combined analysis of these biomarkers offer stronger predictive power in the diagnosis for the infection of febrile patients. Methods: Neutrophil CD64 Index, PCT, IL-6 and CRP levels were determined in 356 febrile patients in the hematology ward from May 2013 to May 2015. Sensitivity, specificity, positive and negative likelihood ratios, positive and negative predictive values, receiver operating characteristic (ROC) areas under the curve (AUC), and logistic regression analysis were determined to evaluate the diagnostic values of these biomarkers. Results: The levels of the four biomarkers were higher in the infection patients (p Conclusions: The neutrophil CD64 Index is useful for early identification of infections in febrile patients in the hematology department. The combined analysis of the CD64 Index, PCT and IL-6 could further improve its sensitivity.

Objective: Losartan was reported to inhibit the progression of acute kidney injury (AKI), but little is known about the underlying pharmacological mechanisms. In the present study, the mRNA expression profiles in ischemic AKI rat kidney altered by losartan treatment were analyzed by next-generation deep sequencing technology.Methods: Ischemia and reperfusion treatment was applied to induce AKI in Sprague–Dawley (SD) rats. The urea and creatinine contents in rat blood were measured. H&E staining was performed to evaluate the histological alteration of rat kidney tissues under a microscope. The TUNEL method was applied to analyze apoptosis in rat kidney tissues. The mRNA profiles in rat kidney were analyzed using next-generation deep sequencing. Differential gene expression was confirmed by quantitative qRT-PCR.Results: The rat model of AKI induced by ischemia and reperfusion showed significant increases in urea and creatinine levels, accompanied by a disrupted kidney tubular structure and renal cell apoptosis. Losartan treatment effectively inhibited the changes in urea and creatinine, tubular structure, and apoptosis in AKI rat kidney. A large number of mRNAs were found to be differentially expressed in the kidneys of AKI rats treated with losartan, which are involved in multiple processes and signaling pathways. The expression of nine differentially expressed genes such as monocyte chemoattractant protein-1 (CCL2) and suppressor of cytokine signaling 3 (SOCS3) was confirmed by qRT-PCR and Western blot.Conclusion: Losartan caused significant alterations in the gene expression profile in AKI rat kidney, which mediated its anti-AKI effects.

Background Various special techniques for blind bedside transpyloric tube placement have been introduced into clinical practice. However, transpyloric spiral tube placement facilitated by a blind bedside method has not yet been reported. The objective of this prospective study was to evaluate the safety and efficiency of blind bedside postpyloric placement of a spiral tube as a rescue therapy subsequent to failed spontaneous transpyloric migration in critically ill patients. Methods This prospective, tricentric, observational study was conducted in the intensive care units (ICUs) of three tertiary hospitals. A total of 127 consecutive patients with failed spontaneous transpyloric spiral tube migration despite using prokinetic agents and still required enteral nutrition for more than 3 days were included. The spiral tube was inserted postpylorically using the blind bedside technique. All patients received metoclopramide intravenously prior to tube insertion. The exact tube tip position was determined by radiography. The primary efficacy endpoint was the success rate of postpyloric spiral tube placement. Secondary efficacy endpoints were success rate of a spiral tube placed in the third portion of the duodenum (D3) or beyond, success rate of placement in the proximal jejunum, time to insertion, length of insertion, and number of attempts. Safety endpoints were metoclopramide-related and major adverse tube-associated events. Results In 81.9% of patients, the spiral feeding tubes were placed postpylorically; of these, 55.1% were placed in D3 or beyond and 33.9% were placed in the proximal jejunum, with a median time to insertion of 14 min and an average number of attempts of 1.4. The mean length of insertion was 95.6 cm. The adverse event incidence was 26.0%, and no serious adverse event was observed. Conclusions Blind bedside postpyloric placement of a spiral tube, as a rescue therapy subsequent to failed spontaneous transpyloric migration in critically ill patients, is safe and effective. This technique may facilitate the early initiation of postpyloric feeding in the ICU. Trial registration Chinese Clinical Trial Registry, ChiCTR-OPN-16008206. Registered on 1 April 2016.

The Philadelphia (Ph; BCR-ABL) chromosome originates from a translocation event between chromosomes 9 and 22, and results in the BCR-ABL fusion gene. In chronic myelogenous leukemia (CML), the BCR-ABL gene is mainly coded for by a major breakpoint cluster region (M-bcr, e13a2 and e14a2). However, in some patients, BCR-ABL genes are encoded by a minor (m)-bcr, e1a2, and a micro (µ)-bcr region, e19a2. These transcripts revealed a different clinical course. The present study described a CML patient whose cytogenetics and FISH analyses of bone marrow revealed a karyotype of 46, XY t(9,22) (q34;q11), while the commercial kits of quantitative PCR (qPCR) failed to detect the BCR-ABL fusion gene. Further multiplex Reverse transcription-PCR (RT-PCR) and sequencing analyses identified a rare e14a3 (b3a3) fusion transcript.

We investigated the incidence, perioperative risk factors, and outcomes of postoperative acute kidney injury (AKI) in neurosurgical critically ill patients. A prospective multicenter cohort study was conducted, enrolling adult patients who underwent neurosurgical procedure and admitted to the neurosurgical intensive care units (ICU). Postoperative AKI was diagnosed within 7 days after surgery based on the Kidney Disease Improving Global Outcomes criteria. Of 624 enrolled patients, postoperative AKI occurred in 84 patients. AKI was associated with increased rates of ICU and in-hospital mortality, postoperative renal replacement therapy, postoperative tracheotomy, and postoperative tracheal reintubation. Patients who developed AKI had higher total ICU costs, prolonged length of hospital and ICU stay, and longer duration of postoperative mechanical ventilation. Multivariate analysis identified postoperative reoperation (adjusted odds ratio [OR] 5.70 [95% CI, 1.61–20.14]), postoperative concentration of serum cystatin C (adjusted OR 4.53 [95% CI, 1.98–10.39]), use of mannitol during operation (adjusted OR 1.97 [95% CI, 1.13–3.43]), postoperative APACHE II score (adjusted OR 1.11 [95% CI, 1.06–1.16]), and intraoperative estimated blood loss (adjusted OR 1.04 [95% CI, 1.00–1.08]) as independent risk factors for postoperative AKI. Postoperative AKI in neurosurgical critically ill cohort is prevalent and associated with adverse in-hospital outcomes.

Background Although serum cystatin C (sCysC), urinary N-acetyl-β-d-glucosaminidase (uNAG), and urinary albumin/creatinine ratio (uACR) are clinically available, their optimal combination for acute kidney injury (AKI) detection and prognosis prediction remains unclear. We aimed to assess the discriminative abilities of these biomarkers and their possible combinations for AKI detection and intensive care unit (ICU) mortality prediction in critically ill adults. Methods A multicenter, prospective observational study was conducted in mixed medical-surgical ICUs at three tertiary care hospitals. One thousand eighty-four adult critically ill patients admitted to the ICUs were studied. We assessed the use of individual biomarkers (sCysC, uNAG, and uACR) measured at ICU admission and their combinations with regard to AKI detection and prognosis prediction. Results AUC-ROCs for sCysC, uNAG, and uACR were calculated for total AKI (0.738, 0.650, and 0.683, respectively), severe AKI (0.839, 0.706, and 0.771, respectively), and ICU mortality (0.727, 0.793, and 0.777, respectively). The panel of sCysC plus uNAG detected total and severe AKI with significantly higher accuracy than either individual biomarkers or the other two panels (uNAG plus uACR or sCysC plus uACR). For detecting total AKI, severe AKI, and ICU mortality at ICU admission, this panel yielded AUC-ROCs of 0.756, 0.863, and 0.811, respectively; positive predictive values of 0.71, 0.31, and 0.17, respectively; and negative predictive values of 0.81, 0.97, and 0.98, respectively. Moreover, this panel significantly contributed to the accuracy of the clinical models for AKI detection and ICU mortality prediction, as measured by the AUC-ROC, continuous net reclassification index, and incremental discrimination improvement index. The comparable performance of this panel was further confirmed with bootstrap internal validation. Conclusions The combination of a functional marker (sCysC) and a tubular damage marker (uNAG) revealed significantly superior discriminative performance for AKI detection and yielded additional prognostic information on ICU mortality. Electronic supplementary material The online version of this article (doi:10.1186/s13054-017-1626-0) contains supplementary material, which is available to authorized users.