[Objective] To explore the predictive value of HALP score for prognosis in patients with multiple myeloma (MM). [Methods] A retrospective analysis was conducted on laboratory indicators and related clinical data of newly diagnosed multiple myeloma (NDMM) patients, treated at the Affiliated Hospital of North Sichuan Medical College from January 2016 to October 2023, prior to their first treatment. The HALP score was calculated, and the optimal cutoff value for HALP was determined using X-tile software. Survival analysis was performed using Kaplan-Meier curves for high HALP and low HALP groups. Univariate and multivariate analyses were conducted using the Cox regression model, and a forest plot was generated using Graphpad Prism to illustrate factors that may impact patient prognosis. The predictive ability of HALP score combined with β2-microglobulin and ECOG score for prognosis in MM patients was evaluated using receiver operating characteristic curve (ROC) analysis. [Results] A total of 203 MM patients were included, with the optimal cutoff value for HALP score being 29.15 (P<0.05). Among them, 101 patients were in the low HALP score group, and 102 patients were in the high HALP score group. The results of univariate and multivariate analysis using the Cox regression model showed that a HALP score <29.15 was an independent risk factor for progression-free survival (PFS) and overall survival (OS) (P<0.05). ROC curve analysis indicated that the combination of HALP score with β2-microglobulin and ECOG score had a higher predictive value for prognosis in MM patients compared to using HALP score alone. [Conclusion] The HALP score is closely related to the prognosis of patients with NDMM. A low HALP score indicates a poorer prognosis, while the combination of HALP score with β2-microglobulin and ECOG score provides a higher predictive value when assessed together.

Background A diverse cohort of patients and susceptible individuals congregate in healthcare facilities, where exposure to pathogenic microorganisms associated with respiratory infectious diseases constitutes a significant risk factor for cross-infection. Central air-conditioning ventilation systems improve some indoor environment indicators while exacerbating the risk of transmission of respiratory infectious diseases. Objective To investigate the distribution characteristics of microbial communities in the central air-conditioning ventilation systems of hospitals, providing a scientific basis for the selection of microbial indicators in hygiene standards for hospital central air-conditioning ventilation systems and for hospital risk early warning systems. Methods In October 2023, two central air-conditioning ventilation systems were selected from a Grade 3A hospital in Shanghai: one was an all-air air-conditioning system serving the waiting area on the ground floor, and the other was a fan coil plus fresh air system serving the outpatient area on the third floor. Samples from four different components of the ventilation systems—air outlets, filters, surface coolers, and condensate trays—were collected for high-throughput sequencing of the 16S rRNA gene to analyze bacterial communities. Alpha-diversity and beta-diversity analyses were performed to investigate the microbial community composition and diversity characteristics of the hospital central air-conditioning ventilation systems. Functional analysis was conducted to determine the relative abundance of bacterial functions in these systems.Results A total of 528 operational taxonomic units (OTUs) were identified, encompassing 20 bacterial phyla, 37 classes, 79 orders, 123 families, and 240 genera. The analysis revealed that the bacterial community was predominantly composed of Proteobacteria, Gemmatimonadates, Bacteroidetes, and Actinobacteria. The diversity analysis indicated that bacterial community richness and diversity were highest in the condensate trays, while no statistically significant differences (P > 0.05) were observed in the bacterial community composition among the air outlets, filters, and surface coolers. The functional analysis showed that the bacterial communities in the central air-conditioning ventilation systems primarily exhibited chemoheterotrophic, oxidative energy-dependent heterotrophic, and ureolytic functional characteristics. Conclusion The dominance of Proteobacteria suggests that this phylum exhibits strong adaptability in the central air-conditioning ventilation systems, possibly related to its ability to survive and reproduce under varying environmental conditions. The diversity analysis indicates that the condensate tray is a critical area for bacterial proliferation in the central air-conditioning ventilation systems. The similarity in environmental conditions among the air outlets, filters, and surface coolers result in similar bacterial community structures. The functional analysis reveals that the bacterial communities possess robust energy conversion and metabolic capabilities, potentially contributing to processes such as organic matter decomposition and nitrogen cycling within the central air-conditioning ventilation systems.

Objective: To explore the potential application of PAK4-PROTAC targeted degradation drug (PpD) in renal cancer immunotherapy. Methods: TIMER 2.0 and TISIDB databases were used to analyze the relationship among PAK4 expression, tumor purity and abundance of immune cell infiltration in renal tumor microenvironment (TEM).Renal cancer cell lines OS-RC-2, 786-O and ACHN were treated with 0, 125 and 250 nmol/L PpD, and the effects of Jurkat cell co-culture on the results were investigated.The cell apoptosis was detected with flow cytometry, and the expression of programmed cell death 1 ligand 1 (PD-L1) in renal cancer cells was detected with immunoblotting. Results: The high expression of PAK4 was positively related to immune purity, and inhibited the abundance of immune killer cells in TEM, such as CD8 T cells, CD4 T cells, natural killer cells and dendritic cells.With 250 nmol/L PpD treatment, there were 21.02% apoptotic cells in OS-RC-2, 29.67% apoptotic cells in 786-O, and 15.39% apoptotic cells in ACHN, respectively.However, with the same concentration of 250 nmol/L PpD treatment, cell apoptotic rate was sharply increased to 70.13% in OS-RC-2/Jurkat, 70.68% in 780-O/Jurkat, and 60.27% in ACHN/Jurkat co-culture models, respectively. Conclusion: PpD can promote apoptosis of renal cancer cells by reducing the expression of PAK4 protein, and enhance the killing effects of immune cells on tumor cells.

Objective To explore and analyse the signals of adverse events of esketamine,and to provide references for rational clinical use of the drug.Methods The adverse event reports of esketamine from the first quarter of 2019 to the fourth quarter of 2023 in the U.S.Food and Drug Administration Adverse Event Reporting System(FAERS)database were collected.The reporting odds ratio(ROR)method and information component(IC)method in the disproportionality analysis and random forest(RF)algorithm,K-nearest neighbor algorithm and extreme gradient boosting(XGBoost)algorithm in machine learning algorithms were used for signal mining of target medicines respectively.The accuracy of machine learning signal detection results was assessed by the area under the curve(AUC).Results A total of 5 247 adverse event records with esketamine as the primary suspect drug were obtained.Using the traditional detection measures of dis-proportionality,138 positive signal results were detected,6 new adverse events including anticholinergic syndrome,urinary incontinence,double vision,pyelonephritis,spontaneous pneumothorax,biliary obstruction,were not included in the FDA drug inserts,and it was found that the drug may be more likely to cause cardiovascular problems.The results of the machine learning training showed that XGBoost algorithm and RF algorithm performed moderately well,with AUC means of 0.928 and 0.921,respectively.A total of 4 new potential adverse drug event signals,diplopia,deterioration of general physical health,suicidal ideation and withdrawal syndrome were detected by XGBoost algorithm and RF algorithm.Conclusion Esketamine is accompanied by some unknown risks while obtaining significant efficacy and adverse events not mentioned in the specification may occur in clinical practice.Healthcare professionals should be fully alert to the relevant adverse events when applying them in clinical treatment and take timely measures to ensure the safety of the treatment.

Background::There is a need for effective and safe therapies for psoriasis that provide sustained benefits. The aim of this study was to assess the efficacy and safety of tildrakizumab, an anti-interleukin-23p19 monoclonal antibody, for treating moderate-to-severe plaque psoriasis in Chinese patients.Methods::In this multi-center, double-blind, phase III trial, patients with moderate-to-severe plaque psoriasis were enrolled and randomly assigned (1:1) to receive subcutaneous tildrakizumab 100 mg or placebo at weeks 0 and 4. Patients initially assigned to placebo were switched to receive tildrakizumab at weeks 12, 16, and every 12 weeks thereafter. Patients in the tildrakizumab group continued with tildrakizumab at week 16, and every 12 weeks until week 52. The primary endpoint was the Psoriasis Area and Severity Index (PASI 75) response rate at week 12.Results::At week 12, tildrakizumab demonstrated significantly higher PASI 75 response rates (66.4% [73/110] vs. 12.7% [14/110]; difference, 51.4% [95% confidence interval (CI), 40.72, 62.13]; P <0.001) and Physician’s Global Assessment (60.9% [67/110] vs. 10.0% [11/110]; difference, 49.1% [95% CI, 38.64, 59.62]; P <0.001) compared to placebo. PASI 75 response continued to improve over time in both tildrakizumab and placebo-switching to tildrakizumab groups, reaching maximal efficacy after 28 weeks (86.8% [92/106] vs. 82.4% [89/108]) and maintained up to 52 weeks (91.3% [95/104] vs. 87.4% [90/103]). Most treatment-emergent adverse events were mild and not related to tildrakizumab. Conclusion::Tildrakizumab demonstrated durable efficacy through week 52 and was well tolerated in Chinese patients with moderate-to-severe plaque psoriasis.Trial registration::ClinicalTrials.gov, NCT05108766.

Background::Limited information exists regarding the impact of severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) infection on psoriasis patients. The objective of this study was to identify clinical factors associated with the prognosis of psoriasis following SARS-CoV-2 infection.Methods::A retrospective, multicenter study was conducted between March and May 2023. Univariable and multivariable logistic regression analyses were employed to identify factors associated with coronavirus disease 2019 (COVID-19)-related psoriasis outcomes. The study included 2371 psoriasis patients from 12 clinical centers, with 2049 of them having been infected with SARS-CoV-2.Results::Among the infected groups, lower exacerbation rates were observed in individuals treated with biologics compared to those receiving traditional systemic or nonsystemic treatments (22.3% [236/1058] vs. 39.8% [92/231] vs. 37.5% [140/373], P <0.001). Psoriasis progression with lesions (adjusted odds ratio [OR] = 8.197, 95% confidence interval [95% CI] = 5.685–11.820, compared to no lesions), hypertension (adjusted OR = 1.582, 95% CI = 1.068–2.343), traditional systemic (adjusted OR = 1.887, 95% CI= 1.263–2.818), and nonsystemic treatment (adjusted OR= 1.602, 95% CI= 1.117–2.297) were found to be associated with exacerbation of psoriasis after SARS-CoV-2 infection, but not biologics (adjusted OR = 0.931, 95% CI = 0.680–1.274, compared to no treatment), according to multivariable logistic regression analysis. Conclusions::A reduced risk of psoriasis exacerbation after SARS-CoV-2 infection was observed with biologics compared to traditional systemic and nonsystemic treatments. Significant risk factors for exacerbation after infection were identified as existing psoriatic lesions and hypertension.

Background::Heterotaxy (HTX) is a thoracoabdominal organ anomaly syndrome and commonly accompanied by congenital heart disease (CHD). The aim of this study was to analyze rare copy number variations (CNVs) in a HTX/CHD cohort and to examine the potential mechanisms contributing to HTX/CHD.Methods::Chromosome microarray analysis was used to identify rare CNVs in a cohort of 120 unrelated HTX/CHD patients, and available samples from parents were used to confirm the inheritance pattern. Potential candidate genes in CNVs region were prioritized via the DECIPHER database, and PNPLA4 was identified as the leading candidate gene. To validate, we generated PNPLA4-overexpressing human induced pluripotent stem cell lines as well as pnpla4-overexpressing zebrafish model, followed by a series of transcriptomic, biochemical and cellular analyses. Results::Seventeen rare CNVs were identified in 15 of the 120 HTX/CHD patients (12.5%). Xp22.31 duplication was one of the inherited CNVs identified in this HTX/CHD cohort, and PNPLA4 in the Xp22.31 was a candidate gene associated with HTX/CHD. PNPLA4 is expressed in the lateral plate mesoderm, which is known to be critical for left/right embryonic patterning as well as cardiomyocyte differentiation, and in the neural crest cell lineage. Through a series of in vivo and in vitro analyses at the molecular and cellular levels, we revealed that the biological function of PNPLA4 is importantly involved in the primary cilia formation and function via its regulation of energy metabolism and mitochondria-mediated ATP production. Conclusions::Our findings demonstrated a significant association between CNVs and HTX/CHD. Our data strongly suggested that an increased genetic dose of PNPLA4 due to Xp22.31 duplication is a disease-causing risk factor for HTX/CHD.

Vitiligo is a common acquired depigmentation disorder characterized by the loss of melanocytes in the skin,hair,and mucous membranes.Its characteristics of difficulty in re-pigmentation and easy recurrence are great challenges for vitiligo treat-ment.At present,vitiligo has been clearly classified as an autoimmune disease with a complex pathogenesis involving genetic and envi-ronmental factors,oxidative stress and autoimmune responses that synergistically promote the loss of melanocytes.With the in-depth understanding of the pathogenesis of vitiligo,a large number of clinical trials have been carried out for targeted therapy of key small molecules,cell subsets,and immune-related signaling pathways in vitiligo.Targeted therapy will become the mainstream in the treat-ment of vitiligo in the future.Research progress of targeted therapy for tissue resident memory T cells(TRM)pathway,JAK-STAT pathway,and WNT/β-catenin pathway in vitiligo.

Objective:To explore the risk factors of osteosarcopenia in maintenance hemodialysis patients, construct a diagnostic nomogram model and verify the effect.Methods:Usingthe convenient sampling method, a total of 697 patients who underwent regular hemodialysis in six hospitals in Shanghai from July 2020 to April 2021 were selected as the modeling set, and 132 patients who underwent regular hemodialysis in Tongji Hospital in Shanghai in November 2020 were selected as the validation set. General information, laboratory indicators, human parameters, physical functions, nutritional status, physical activity, cognitive function, and depression were collected. Logistic regression was used to analyze the risk factors of osteosarcopenia in maintenance hemodialysis patients and to construct a nomogram model. The effect of the model was evaluated by the area under the receiver operating characteristic curve, calibration curve, and decision curve.Results:A total of 697 maintenance hemodialysis patients were included in the modeling set, including 171 patients with osteosarcopenia, with an incidence rate of 24.53% (171/697). The results of the binomial logistic regression analysis showed that age, body mass index, physical activity intensity, and Charlson Comorbidity Index (CCI) were the influencing factors for the occurrence of osteosarcopenia in maintenance hemodialysis patients ( P<0.05). The area under the receiver operating characteristic curve in the modeling set, ten-fold cross-validation, and validation set were 0.835, 0.827, and 0.851, respectively. The calibration curves of the modeling and validation sets fitted well. The decision curve showed that the clinical utility of the nomogram was good. Conclusions:Maintenance hemodialysis patients are prone to osteosarcopenia. Old age, low body mass index, high Charlson Comorbidity Index, and low-intensity physical activity are risk factors for osteosarcopenia in maintenance hemodialysis patients. A nomogramdiagnostic model based on the above-mentioned influencing factors can help medical staff identify high-risk populations early and develop prevention and treatment measures.

To summarize the nursing care of a patient with acute myocardial infarction after double knee joint replacement due to alkaptonuria.The main nursing points were as follows:strict condition monitoring,being alert to the occurrence of cardiac complications;strengthening thrombus and bleeding management to prevent related complications;early progressive rehabilitation exercise to promote functional rehabilitation of the affected limb;implementing analgesic management to improve pain symptoms;carrying out nutrition assessment and personalized nutrition support;paying attention to humanistic care,targeted psychological nursing.After careful treatment and nursing care,the patient was discharged from the hospital.After 3 months of telephone follow-up,the patient recovered well.