OBJECTIVES: Multiple myeloma (MM) is a highly heterogeneous hematologic malignancy, with disease progression driven by cytogenetic abnormalities and a complex bone marrow microenvironment. This study aims to construct a prognostic model for MM based on transcriptomic data and lipid metabolism related genes (LRGs), and to identify potential drug targets for high-risk patients to support clinical decision-making. METHODS: In this study, 2 transcriptomic datasets covering 985 newly diagnosed MM patients were retrieved from the Gene Expression Omnibus (GEO) database. Univariate Cox regression and 101 machine learning algorithms were used for gene selection. An LRG-based prognostic model was constructed using Stepwise Cox (both directions) and random survival forest (RSF) algorithms. The association between the prognostic score and clinical events was evaluated, and model performance was assessed using time-dependent receiver operating characteristic (ROC) curves and the C-index. The added predictive value of combining prognostic scores with clinical variables and staging systems was also analyzed. Differentially expressed genes between high- and low-risk groups were identified using limma and clusterProfiler and subjected to pathway enrichment analysis. Drug sensitivity analysis was conducted using the Genomics of Drug Sensitivity in Cancer (GDSC) database and oncoPredict to identify potential therapeutic targets for high-risk patients. The functional role of key LRGs in the model was validated via in vitro cell experiments. RESULTS: An LRG-based prognostic model (LRG17) was successfully developed using transcriptomic data and machine learning. The model demonstrated robust predictive performance, with area under the curve (AUC) values of 0.962, 0.912, and 0.842 for 3-, 5-, and 7-year survival, respectively. Patients were stratified into high- and low-risk groups, with high-risk patients showing significantly shorter overall survival (OS) and event-free survival (EFS) (both P<0.001) and worse clinical profiles (e.g., lower albumin, higher β2-microglobulin and lactate dehydrogenase levels). Enrichment analysis revealed that high-risk patients were significantly enriched for pathways related to chromosome segregation and mitosis, whereas low-risk patients were enriched for immune response and immune cell activation pathways. Drug screening suggested that AURKA inhibitor BMS-754807 and FGFR3 inhibitor I-BET-762 may be more effective in high-risk patients. Functional assays demonstrated that silencing of key LRG PLA2G4A significantly inhibited cell viability and induced apoptosis. CONCLUSIONS LRGs serve as promising biomarkers for prognosis prediction and risk stratification in MM. The overexpression of chromosomal instability-related and high-risk genetic event-associated genes in high-risk patients may explain their poorer outcomes. Given the observed resistance to bortezomib and lenalidomide in high-risk patients, combination therapies involving BMS-754807 or I-BET-762 may represent effective alternatives.
Humans ; Multiple Myeloma/mortality* ; Prognosis ; Lipid Metabolism/genetics* ; Transcriptome ; Machine Learning ; Male ; Female ; Gene Expression Profiling ; Algorithms

Objective:To explore the value of the Development and Validation of Risk-Adjusted Outcomes for Systems of Emergency Medical Care (DAVROS) combined with lactate clearance rate in evaluating acute kidney injury (AKI) complicated by patients with multiple injuries.Methods:A total of 85 patients with multiple injuries admitted to the Lishui People′s Hospital from March 2021 to March 2024 were selected as the research objects. They were divided into the AKI group ( n=24) and non-AKI group ( n=61) according to whether AKI occurred. The DAVROS scores and lactate clearance rates of the two groups were analyzed. Multivariate regression analysis was used to determine the independent risk factors affecting the occurrence of AKI, and the receiver operating characteristic (ROC) curve was used to evaluate the combined predictive value of the prediction model and lactate clearance rate. Results:One-way analysis of variance showed that the age, history of diabetes, hemorrhagic shock, use of diuretics, and DAVROS score in the AKI group were higher than those in the non-AKI group (all P<0.05). The albumin and lactate clearance rate in the AKI group were lower than those in the non-AKI group (all P<0.05). Multivariate regression analysis showed that advanced age, history of diabetes, hemorrhagic shock, use of diuretics, high lactate level, and high DAVROS score were independent risk factors for AKI in patients with multiple injuries (all P<0.05). High albumin level and high lactate clearance rate were protective factors for AKI in patients with multiple injuries (all P<0.05). ROC curve analysis showed that the combination of DAVROS score and lactate clearance rate had high value in predicting AKI in patients with multiple injuries, with an AUC of 0.938, a sensitivity of 91.7%, and a specificity of 86.9%. Conclusions:The DAVROS combined with lactate clearance rate has important value in evaluating AKI complicated by patients with multiple injuries, and can be used as an important reference for early clinical diagnosis and treatment decisions.

Objective To explore the potential cross-sectional categories of health promotion behaviors in patients after PCI and analyze their influencing factors,so as to provide a reference for formulating targeted interventions to improve health promotion behaviors in patients after PCI.Methods A total of 242 patients who underwent PCI surgery in the Department of Cardiovascular Medicine of a tertiary hospital in Sichuan Province from February to May 2024 were selected by convenience sampling method.The general information questionnaire,the health promotion lifestyle scale,the health literacy scale for patients with chronic diseases,and the perceived social support scale were used to conduct the survey.The potential profile analysis of health promotion behaviors in patients after PCI was carried out,and the influencing factors were explored by univariate analysis and multiple logistic regression analysis.Results A total of 230 patients after PCI completed the study.The results of potential profile analysis showed that the health promotion behaviors of patients after PCI could be divided into three potential profiles:"low health promotion-poor behavior group"(n=71,30.9%),"medium health promotion behavior group"(n=53,23.0%),and"high health promotion-positive behavior group"(n=106,46.1%).Logistic regression analysis showed that medical payment methods,the number of chronic diseases,whether they had received chronic disease-related knowledge guidance,health literacy,and social support were the influencing factors of the potential profile of health promotion behaviors of patients after PCI(all P<0.05).Conclusion The health promotion behaviors of patients after PCI have obvious categorical characteristics.Nursing staff should formulate personalized intervention strategies according to the characteristics and influencing factors of each category,improve the health literacy and comprehension of social support of patients after PCI,and then improve their health promotion behaviors.

Objective To explore the potential cross-sectional categories of health promotion behaviors in patients after PCI and analyze their influencing factors,so as to provide a reference for formulating targeted interventions to improve health promotion behaviors in patients after PCI.Methods A total of 242 patients who underwent PCI surgery in the Department of Cardiovascular Medicine of a tertiary hospital in Sichuan Province from February to May 2024 were selected by convenience sampling method.The general information questionnaire,the health promotion lifestyle scale,the health literacy scale for patients with chronic diseases,and the perceived social support scale were used to conduct the survey.The potential profile analysis of health promotion behaviors in patients after PCI was carried out,and the influencing factors were explored by univariate analysis and multiple logistic regression analysis.Results A total of 230 patients after PCI completed the study.The results of potential profile analysis showed that the health promotion behaviors of patients after PCI could be divided into three potential profiles:"low health promotion-poor behavior group"(n=71,30.9%),"medium health promotion behavior group"(n=53,23.0%),and"high health promotion-positive behavior group"(n=106,46.1%).Logistic regression analysis showed that medical payment methods,the number of chronic diseases,whether they had received chronic disease-related knowledge guidance,health literacy,and social support were the influencing factors of the potential profile of health promotion behaviors of patients after PCI(all P<0.05).Conclusion The health promotion behaviors of patients after PCI have obvious categorical characteristics.Nursing staff should formulate personalized intervention strategies according to the characteristics and influencing factors of each category,improve the health literacy and comprehension of social support of patients after PCI,and then improve their health promotion behaviors.

Objective:To explore the value of the Development and Validation of Risk-Adjusted Outcomes for Systems of Emergency Medical Care (DAVROS) combined with lactate clearance rate in evaluating acute kidney injury (AKI) complicated by patients with multiple injuries.Methods:A total of 85 patients with multiple injuries admitted to the Lishui People′s Hospital from March 2021 to March 2024 were selected as the research objects. They were divided into the AKI group ( n=24) and non-AKI group ( n=61) according to whether AKI occurred. The DAVROS scores and lactate clearance rates of the two groups were analyzed. Multivariate regression analysis was used to determine the independent risk factors affecting the occurrence of AKI, and the receiver operating characteristic (ROC) curve was used to evaluate the combined predictive value of the prediction model and lactate clearance rate. Results:One-way analysis of variance showed that the age, history of diabetes, hemorrhagic shock, use of diuretics, and DAVROS score in the AKI group were higher than those in the non-AKI group (all P<0.05). The albumin and lactate clearance rate in the AKI group were lower than those in the non-AKI group (all P<0.05). Multivariate regression analysis showed that advanced age, history of diabetes, hemorrhagic shock, use of diuretics, high lactate level, and high DAVROS score were independent risk factors for AKI in patients with multiple injuries (all P<0.05). High albumin level and high lactate clearance rate were protective factors for AKI in patients with multiple injuries (all P<0.05). ROC curve analysis showed that the combination of DAVROS score and lactate clearance rate had high value in predicting AKI in patients with multiple injuries, with an AUC of 0.938, a sensitivity of 91.7%, and a specificity of 86.9%. Conclusions:The DAVROS combined with lactate clearance rate has important value in evaluating AKI complicated by patients with multiple injuries, and can be used as an important reference for early clinical diagnosis and treatment decisions.

Objective:This study evaluates the performance of chemiluminescence assay, which is designed to detect Hepatitis D Virus (HDV) Immunoglobulin G (IgG) antibodies.Methods:A comparative analysis was conducted among chemiluminescence anti-HDV IgG reagent, the magnetic particle-based domestic reagent A and domestic reagent B, and the Robo Gene HDV RNA kit, using 1909 HBsAg-positive plasma samples. This comparison aimed to delineate clinical specificity and detection accuracy. The anti-HDV IgG reagent precision was assessed at three different concentration levels following the Clinical Laboratory Standards Institute EP5-A2 guidelines. The specificity of the assay was validated using 200 HAV IgM positive, 545 HBsAg-positive but anti-HDV IgG-negative, 350 anti HCV positive plasma samples and 200 healthy human blood samples. Additionally, a concordance study was conducted with 545 HBsAg-positive and 37 anti-HDV IgG-positive plasma samples, comparing the anti-HDV IgG reagent against reagent A.Results:1 909 HBsAg-positive plasma samples were tested using 3 anti HDV IgG reagent and 1 HDV RNA reagent, 19 samples were identified as anti-HDV IgG-positive. The anti-HDV IgG demonstrated superior accuracy and specificity. The assay exhibited excellent precision, with intra-assay coefficient of variation (CV) values ranging from 1.57% to 4.30%, and inter-assay CV values between 1.71% and 4.67% for detecting samples at high, medium, and low concentration levels. Concordance with Reagent A showed consistent results in both positive and negative detections.Conclusion:In this study, the anti-HDV IgG reagent (chemiluminescence method) displayed outstanding specificity in detecting clinical samples and exhibited a high conformity rate with commercialized reagents, making it potentially suitable for screening anti-HDV IgG in HBsAg-positive samples.

Objective:This study aims to evaluate the quality and explore the preliminary clinical applications of a domestically developed hepatitis D virus nucleic acid quantification reagent (abbreviated as"domestic HDV RNA reagent").Methods:The sensitivity and accuracy of the reagent were evaluated in accordance with the WHO HDV RNA international standard, employing the Bio-Rad CFX Opus 96 real-time fluorescence quantitative PCR analysis system. Serial dilutions of pseudo-viruses or cell culture-derived virus were used to determine the linear range of the domestic HDV RNA reagent. Specificity was assessed using positive samples of HAV, HBV, HCV infection, and HEV national reference materials. Precision was evaluated with samples at both high and low concentrations. In a comparative analysis, 30 HDV IgG positive samples were tested using both the domestic HDV RNA reagent and the RoboGene HDV RNA kit based on the ABI 7500 FAST DX system. The Pearson correlation coefficient (r) was used to examine the correlation between the two reagents.Results:The domestic HDV RNA reagent demonstrated a high sensitivity of up to 6 IU/ml, consistent with that of the comparator reagent. The calibration curve for WHO HDV RNA standards had a slope of -3.286, with an amplification efficiency of 101.6%. The linear detection range spanned from 10 to 10 8 IU/ml for eight HDV genotypes. The domestic HDV RNA reagent exhibited exceptional specificity, without cross-reactivity observed with HAV, HBV, HCV, or HEV. Accuracy assessments at five concentration levels met the required standards, with intra-assay precision coefficient of variation ( CV) ranging from 1.20% to 4.20%, and inter-assay precision CV from 1.20% to 7.90%. The detection results for HDV IgG positive samples were highly correlated with the comparator reagent ( r=0.984, P<0.001), achieving a diagnostic accuracy of 100% compared to sequencing results. Conclusion:In this study, the domestic HDV RNA reagent possesses excellent specificity, accuracy, precision, and a broad linear range, attaining a sensitivity level on par with international reagents of the same type.

Objective:To study the efficacy and safety of laparoscopic surgery in treatment of recurrent hepatocellular carcinoma.Methods:The clinical data of 58 patients with recurrent hepatocellular carcinoma who underwent surgical treatment from January 2010 to January 2018 at Hunan Provincial People’s Hospital were retrospectively analyzed. There were 50 males and 8 females, ranging in age from 28 to 78 (53.0±10.8) years old. Patients were divided into laparoscopic group ( n=27) and laparotomy group ( n=31) according to different surgical procedures. The differences in operative time, intraoperative blood loss, hospital stay, postoperative anal exhaustion time, postoperative complications and prognosis between the two groups were compared. Results:The intraoperative blood loss of laparoscopy group and laparotomy group were 100.0(50.0, 400.0) ml vs 300.0(100.0, 500.0) ml, the postoperative anal exhaustion time were (2.7±0.6) d vs (3.3±0.6) d, the hospital stay were (14.8±3.8) d vs (21.4±6.3) d, and these differences were statistically significant (all P<0.05). The operative time of the two groups were (243.4±27.2) min vs (217.5±34.7) min, with no statistical significance ( t=0.59, P=0.344). There were no significant differences between the two groups in postoperative complications (bile leakage, abdominal infection, hemorrhage, pleural effusion and hepatic encephalopathy) (all P>0.05); thetumor free survival, 1-year, and 3-year overall survival rates of the two groups were also not significantly different (both P>0.05). Conclusion:Laparoscopic surgery is safe and effective in the treatment of recurrent hepatocellular carcinoma, and its prognosis is similar to laparotomy, its complications are not significantly increased, which is worthy of promotion in clinic.

Objective:To investigate the value of the extrahepatic bile duct and main pancreatic duct segment patterns on magnetic resonance cholangiopancreatography (MRCP) for differentiating the periampullary carcinoma (PAC).Methods:The clinicopathologic data of 125 patients with PAC who were admitted to Wuxi No.2 People’s Hospital from June 2013 to December 2021 were retrospectively analyzed, including 72 males and 53 females, aged (64.9±8.6) years. According to its anatomy, the extrahepatic bile duct (B) was divided into suprapancreatic and intrapancreatic (including ampullary) segments, and the main pancreatic duct (P) was divided into tail-body and head segments. MRCP patterns: i. the extrahepatic bile duct or main pancreatic duct visible without dilatation, ii. cutoff of the distal extrahepatic bile duct or main pancreatic duct with upstream dilatation, iii. cutoff of the intrapancreatic or head segment with upstream dilatation and remnant intrapancreatic or head segments invisible, iv. cutoff of the intrapancreatic or head segment with upstream dilatation and nondilated remnant intrapancreatic or head segments, were represented as 0, 1, 2, and 3, respectively. Segment patterns of B1/P0+ B1/P1, B0/P2+ B0/P3+ B2/P2+ B2/P3+ B3/P3, B3/P0, and B0/P0+ B2/P0 on MRCP were compared in PAC patients.Results:Of the 125 patients, there were 57 (45.6%) with pancreatic head carcinoma, 36 (28.8%) with ampullary carcinoma, 20 (16.0%) with distal cholangiocarcinoma, and 12 (9.6%) with periampullary duodenal carcinoma. Segment patterns of B0/P2+ B0/P3+ B2/P2+ B2/P3+ B3/P3 were found in 52 patients with pancreatic head carcinoma (91.2%, 52/57), with a significant difference between PAC (χ 2=110.66, P<0.001). Segment patterns of B1/P0+ B1/P1were found in 36 patients with ampullary carcinoma (100.0%, 36/36), fallowed by 11 (91.7%, 11/12) with periampullary duodenal carcinoma, with a significant difference between PAC (χ 2=129.95, P<0.001). Segment pattern of B3/P0 presented in 16 patients with distal cholangiocarcinoma (80.0%, 16/20), with a significant difference between PAC (χ 2=62.45, P<0.001). The segment patterns of B0/P0+ B2/P0 were only seen in 3 of 57(5.3%) patients with pancreatic head carcinoma. Conclusion:On MRCP, cutoff of the head segment with upstream dilatation and remnant head segment invisible or nondilated indicates the pancreatic head carcinoma. Cutoff of the intrapancreatic segment with upstream dilatation, remnant intrapancreatic segment visible, and main pancreatic duct nondilated, indicates the distal cholangiocarcinoma. And cutoff of the distal extrahepatic segment with upstream dilatation and main pancreatic duct dilatation or not, indicates the ampullary or periampullary duodenal carcinoma.

Objective:To investigate the risk factor of hepatocellular carcinoma (HCC) with vessels encapsulating tumor clusters (VETC) and the application value of its risk scoring model.Methods:The retrospective cross-sectional study was conducted. The clinicopathological data of 149 patients with HCC who were admitted to two medical centers, including 97 cases in the Jiangnan University Medical Center and 52 cases in the Affiliated Xingtai People′s Hospital of Hebei Medical University, from January 2017 to April 2020 were collected. There were 116 males and 33 females, aged (58±12)years. There were 74 cases with VETC and 75 cases without VETC. Observation indica-tors: (1) clinical characteristics of patients with and without VETC; (2) imaging features of patients with and without VETC; (3) multivariable analysis of HCC patients with VETC; (4) construction of VETC related risk scoring model and its performance evaluation; (5) postoperative early tumor recurrence of patients with and without VETC who were confirmed by risk scoring model and histopathological examination. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the t test. Count data were described as absolutes, and comparison between groups was conducted using the chi-square test and continuous correction chi-square test. Variables of clinical and imaging characteristics with statistically signifi-cant were included in the multivariate analysis. Multivariate analysis was conducted using the Logistic regression model of backward stepwise selection. VETC related risk scoring model was constructed based on the results of Logistic regression model. The receiver operating characteristic (ROC) curve was drawn, and the area under curve (AUC), the sensitivity, specificity, accuracy and their 95% confidence interval ( CI) were calculated. The maximizing Youden index was the optimal cutoff value for VETC prediction. The Hosmer Lemeshow goodness of fit test was used to assess the consistency between VETC risk scoring model predicted VTEC status and the true VETC status. The Kaplan-Meier method was used to calculate survival rates and draw survival curves. The Log-rank test was used for survival analysis. Results:(1) Clinical characteristics of patients with and without VETC. Cases with postoperative albumin <36 g/L were 57 in patients with VETC, versus 68 in patients without VETC, respectively, showing a significant difference between them ( χ2=5.13, P<0.05). (2) Imaging features of patients with and without VETC. Cases with lesion imaging presence as nonperipheral washout, cases with lesion imaging presence as mosaic architecture, cases with lesion imaging presence as intratumoral hemorrhage, cases with lesion imaging presence as corona enhancement, cases with lesion imaging presence as non-smooth tumor margin, cases with lesion imaging presence as peritumoral enhancement in arterial phase, cases with lesion imaging presence as intratumoral arteries, cases with lesion imaging presence as peritumoral hypointensity in hepatobiliary phase, cases with lesion imaging enhancement type as uniform low enhancement, uniform high enhance-ment, heterogeneous enhancement with septations and heterogeneous enhancement with irregular ring-like structures, cases with intratumoral necrosis or ischemic, cases with tumor diameter >5 cm were 73, 35, 33, 15, 39, 28, 42, 27, 4, 5, 27, 38, 45, 46 in patients with VETC, versus 64, 16, 13, 3, 19, 15, 9, 13, 9, 35, 5, 26, 10, 10 in patients without VETC, respectively, showing significant differences in the above indicators between them ( χ2=8.92, 11.15, 12.97, 9.28, 11.74, 5.77, 33.14, 6.96, 41.79, 36.05, 37.86, P<0.05). (3) Multivariable analysis of patients with VETC. Results of multivariable analysis showed that lesion imaging enhancement as heterogeneous enhancement with septations, lesion imaging enhancement as heterogeneous enhancement with irregular ring-like structures, intratumoral necrosis or ischemia and tumor diameter >5 cm were independent risk factors influen-cing patients with VETC ( odds ratio=4.18, 7.62, 4.23, 4.08, 95% CI as 1.60?11.60, 2.00?31.70, 1.71?10.90, 1.60?10.80), P<0.05). (4) Construction of VETC related risk scoring model and its performance evaluation. The VETC related risk scoring model was constructed as (heterogeneous enhancement with septations, presence: 1.0, absence: 0)+(heterogeneous enhancement with irregular ring-like structures, presence: 1.5, absence: 0)+(intratumoral necrosis or ischemia, presence: 1.0, absence: 0)+(main tumor diameter >5 cm, presence: 1.0, absence: 0). The AUC, sensitivity, specificity, and accuracy of VETC related risk scoring model were 0.86 (95% CI as 0.80?0.92), 79.7% (95% CI as 69.2%?87.3%), 80.0% (95% CI as 69.6%?87.5%) and 79.9% (95% CI as 72.7%?85.5%), respectively. Results of Hosmer-Lemeshow goodness of fit test showed a good consistency between VETC risk scoring model predicted VETC status and true VETC status ( P>0.05). (5) Postoperative early tumor recurrence of patients with and without VETC who were confirmed by risk scoring model and histopathological examination. All 149 patients were followed up for 29(range, 26?35)months. The time to tumor recurrence and 2-year cumulative tumor recurrence rate of 149 patients were 29(range, 24?33)months and 43.0%, respectively. The 2-year tumor cumulative recurrence rate of patients with and without VETC predicted by risk scoring model was 47.8% and 37.9%, respectively, showing a significant difference between ( χ2=3.90, P<0.05). The 2-year cumulative tumor recurrence rate of patients with and without VETC confirmed by postoperative histopathological examination was 47.4% and 38.1%, respectively, showing a significant difference between ( χ2=4.20, P<0.05). Conclusions:Lesion imaging enhancement as heterogeneous enhancement with septations or irregular ring-like structures, intratumoral necrosis or ischemia and tumor diameter >5 cm are independent risk factors influen-cing HCC patients with VETC. The proposed risk scoring model based on those three risk factors achieves an optimal preoperative diagnostic performance.