PURPOSE: The rate of complications among patients undergoing surgery has increased due to infection with SARS-CoV-2 and other variants of concern. However, Omicron has shown decreased pathogenicity, raising questions about the risk of postoperative complications among patients who are infected with this variant. This study aimed to investigate complications and related factors among patients with recent Omicron infection prior to undergoing orthopedic surgery. METHODS: A historical control study was conducted. Data were collected from all patients who underwent surgery during 2 distinct periods: (1) between Dec 12, 2022 and Jan 31, 2023 (COVID-19 positive group), (2) between Dec 12, 2021 and Jan 31, 2022 (COVID-19 negative control group). The patients were at least 18 years old. Patients who received conservative treatment after admission or had high-risk diseases or special circumstances (use of anticoagulants before surgery) were excluded from the study. The study outcomes were the total complication rate and related factors. Binary logistic regression analysis was used to identify related factors, and odds ratio (OR) and 95% confidence interval (CI) were calculated to assess the impact of COVID-19 infection on complications. RESULTS: In the analysis, a total of 847 patients who underwent surgery were included, with 275 of these patients testing positive for COVID-19 and 572 testing negative. The COVID-19-positive group had a significantly higher rate of total complications (11.27%) than the control group (4.90%, p < 0.001). After adjusting for relevant factors, the OR was 3.08 (95% CI: 1.45-6.53). Patients who were diagnosed with COVID-19 at 3-4 weeks (OR = 0.20 (95% CI: 0.06-0.59), p = 0.005), 5-6 weeks (OR = 0.16 (95% CI: 0.04-0.59), p = 0.010), or ≥7 weeks (OR = 0.26 (95% CI: 0.06-1.02), p = 0.069) prior to surgery had a lower risk of complications than those who were diagnosed at 0-2 weeks prior to surgery. Seven factors (age, indications for surgery, time of operation, time of COVID-19 diagnosis prior to surgery, C-reactive protein levels, alanine transaminase levels, and aspartate aminotransferase levels) were found to be associated with complications; thus, these factors were used to create a nomogram. CONCLUSION Omicron continues to be a significant factor in the incidence of postoperative complications among patients undergoing orthopedic surgery. By identifying the factors associated with these complications, we can determine the optimal surgical timing, provide more accurate prognostic information, and offer appropriate consultation for orthopedic surgery patients who have been infected with Omicron.
Humans ; COVID-19/complications* ; Male ; Female ; Middle Aged ; Postoperative Complications/epidemiology* ; SARS-CoV-2 ; Orthopedic Procedures/adverse effects* ; Aged ; Nomograms ; Adult ; Retrospective Studies ; Risk Factors

OBJECTIVE: To assess the efficacy of Qingda Granule (QDG) in ameliorating hypertension-induced cardiac damage and investigate the underlying mechanisms involved. METHODS: Twenty spontaneously hypertensive rats (SHRs) were used to develope a hypertension-induced cardiac damage model. Another 10 Wistar Kyoto (WKY) rats were used as normotension group. Rats were administrated intragastrically QDG [0.9 g/(kg•d)] or an equivalent volume of pure water for 8 weeks. Blood pressure, histopathological changes, cardiac function, levels of oxidative stress and inflammatory response markers were measured. Furthermore, to gain insights into the potential mechanisms underlying the protective effects of QDG against hypertension-induced cardiac injury, a network pharmacology study was conducted. Predicted results were validated by Western blot, radioimmunoassay immunohistochemistry and quantitative polymerase chain reaction, respectively. RESULTS: The administration of QDG resulted in a significant decrease in blood pressure levels in SHRs (P<0.01). Histological examinations, including hematoxylin-eosin staining and Masson trichrome staining revealed that QDG effectively attenuated hypertension-induced cardiac damage. Furthermore, echocardiography demonstrated that QDG improved hypertension-associated cardiac dysfunction. Enzyme-linked immunosorbent assay and colorimetric method indicated that QDG significantly reduced oxidative stress and inflammatory response levels in both myocardial tissue and serum (P<0.01). CONCLUSIONS Both network pharmacology and experimental investigations confirmed that QDG exerted its beneficial effects in decreasing hypertension-induced cardiac damage by regulating the angiotensin converting enzyme (ACE)/angiotensin II (Ang II)/Ang II receptor type 1 axis and ACE/Ang II/Ang II receptor type 2 axis.
Animals ; Drugs, Chinese Herbal/therapeutic use* ; Hypertension/pathology* ; Renin-Angiotensin System/drug effects* ; Rats, Inbred SHR ; Oxidative Stress/drug effects* ; Male ; Rats, Inbred WKY ; Blood Pressure/drug effects* ; Myocardium/pathology* ; Rats ; Inflammation/pathology*

Transformer models have emerged as pivotal tools within the realm of drug discovery, distinguished by their unique architectural features and exceptional performance in managing intricate data landscapes. Leveraging the innate capabilities of transformer architectures to comprehend intricate hierarchical dependencies inherent in sequential data, these models showcase remarkable efficacy across various tasks, including new drug design and drug target identification. The adaptability of pre-trained transformer-based models renders them indispensable assets for driving data-centric advancements in drug discovery, chemistry, and biology, furnishing a robust framework that expedites innovation and discovery within these domains. Beyond their technical prowess, the success of transformer-based models in drug discovery, chemistry, and biology extends to their interdisciplinary potential, seamlessly combining biological, physical, chemical, and pharmacological insights to bridge gaps across diverse disciplines. This integrative approach not only enhances the depth and breadth of research endeavors but also fosters synergistic collaborations and exchange of ideas among disparate fields. In our review, we elucidate the myriad applications of transformers in drug discovery, as well as chemistry and biology, spanning from protein design and protein engineering, to molecular dynamics (MD), drug target identification, transformer-enabled drug virtual screening (VS), drug lead optimization, drug addiction, small data set challenges, chemical and biological image analysis, chemical language understanding, and single cell data. Finally, we conclude the survey by deliberating on promising trends in transformer models within the context of drug discovery and other sciences.

Objective: Cardiac magnetic resonance (CMR) is a diagnostic tool that provides precise and reproducible information about cardiac structure, function, and tissue characterization, aiding in the monitoring of chemotherapy response in patients with lightchain cardiac amyloidosis (AL-CA). This study aimed to evaluate the feasibility of CMR in monitoring responses to chemotherapy in patients with AL-CA. Materials and Methods: In this prospective study, we enrolled 111 patients with AL-CA (50.5% male; median age, 54 [interquartile range, 49–63] years). Patients underwent longitudinal monitoring using biomarkers and CMR imaging. At followup after chemotherapy, patients were categorized into superior and inferior response groups based on their hematological and cardiac laboratory responses to chemotherapy. Changes in CMR findings across therapies and differences between response groups were analyzed. Results: Following chemotherapy (before vs. after), there were significant increases in myocardial T2 (43.6 ± 3.5 ms vs. 44.6 ± 4.1 ms; P = 0.008), recovery in right ventricular (RV) longitudinal strain (median of -9.6% vs. -11.7%; P = 0.031), and decrease in RV extracellular volume fraction (ECV) (median of 53.9% vs. 51.6%; P = 0.048). These changes were more pronounced in the superior-response group. Patients with superior cardiac laboratory response showed significantly greater reductions in RV ECV (-2.9% [interquartile range, -8.7%–1.1%] vs. 1.7% [-5.5%–7.1%]; P = 0.017) and left ventricular ECV (-2.0% [-6.0%–1.3%] vs. 2.0% [-3.0%–5.0%]; P = 0.01) compared with those with inferior response. Conclusion Cardiac amyloid deposition can regress following chemotherapy in patients with AL-CA, particularly showing more prominent regression, possibly earlier, in the RV. CMR emerges as an effective tool for monitoring associated tissue characteristics and ventricular functional recovery in patients with AL-CA undergoing chemotherapy, thereby supporting its utility in treatment response assessment.

Parabacteroides distasonis is a gram-negative bacterium initially isolated from a clinical specimen in the 1930s. The strain was re-classified to form the new genus Parabacteroides in 2006. P. distasonis can regulate intestinal barrier function and plays a key role in immune response and metabolic regulation of bodies. Traditional Chinese medicine(TCM) is closely related to the intestinal microbiota. Polysaccharides, saponins, and other ingredients of TCM can treat diseases by interacting with P. distasonis, but the specific mechanisms underlying these processes are still unclear, requiring further exploration. This study reviewed the roles and related mechanisms of P. distasonis in inflammatory-immune diseases, metabolic diseases, cardiovascular disease, neuropsychiatric diseases, cancer, and other diseases and summarized the relevant research results of TCM to prevent and treat diseases by regulating P. distasonis. This study provides a reference for subsequent exploration of P. distasonis and research on the interaction between TCM and intestinal microbiota.
Humans ; Gastrointestinal Microbiome/drug effects* ; Medicine, Chinese Traditional ; Animals ; Bacteroidetes ; Drugs, Chinese Herbal/pharmacology*

Objective To propose an optimization method for medical equipment data collection based on wireless sensor network in order to solve the problems of high packet loss rate and prolonged time delay for wireless sensor network to acquire medical equipment data.Methods The multi-dimensional state data of medical equipment operation were collected using wireless sensor network and fused with the ant colony optimization algorithm;then the routing strategy was optimized using the adaptive step fruit fly optimization algorithm,and data stream congestion was controlled with the virtual queue-based congestion control algorithm from the levels of rate adjustment and active packet loss.The method proposed was compared with the medical equipment data collection methods respectively based on wireless sensor network and ant colony wireless sensor network in terms of pocket loss rate and time delay to verify its effectiveness and advantages.Results The method proposed had a packet loss rate of only 8.6％for data acquisition at a sampling rate of 80 Kibit/s and an average time delay of about 0.115 s in case of 500 sensor nodes,which were much lower than those of the medical equipment data collection methods respectively based on wireless sensor network and ant colony wireless sensor network.Conclusion The method proposed improves the efficiency of multi-dimensional state data collection and allieves the data flow congestion of wireless sensor network.References are provided for remote monitoring of medical equipment operation state.[Chinese Medical Equipment Journal,2023,44(9):83-87]

The chemical constituents of Chuanzhi Tongluo Capsules were analyzed and identified using ultra-high performance liquid chromatography-quadrupole/electrostatic field orbitrap high-resolution mass spectrometry(UPLC-Q-Exactive Orbitrap-MS) to clarify the pharmacological substance basis. In addition, network pharmacology was employed to explore the mechanism of Chuanzhi Tongluo Capsules in the treatment of cerebral infarction. Gradient elution was performed using acetonitrile and 1% acetic acid in water as the mobile phase. Mass spectrometry was performed in positive and negative ion modes. Xcalibur 4.2 software was used for compound analysis, including accurate mass-to-charge ratio and MS/MS fragment information, combined with the comparison of reference standards and literature data. A total of 152 compounds were identified, including 32 organic acids, 35 flavonoids and their glycosides, 33 diterpenes, 13 phthalides, 12 triterpenes and triterpene saponins, 23 nitrogen-containing compounds, and 4 other compounds, and their fragmentation patterns were analyzed. SwissTargetPrediction, GeneCards, DAVID, and other databases were used to predict and analyze the core targets and mechanism of Chuanzhi Tongluo Capsules. Protein-protein interaction(PPI) network topology analysis identified 10 core targets, including TNF, VEGFA, EGFR, IL1B, and CTNNB1. KEGG enrichment analysis showed that Chuanzhi Tongluo Capsules mainly exerted their effects through the regulation of lipid and atherosclerosis, glycoproteins in cancer, MicroRNAs in cancer, fluid shear stress, and atherosclerosis-related pathways. Molecular docking was performed between the key constituents and core targets, and the results demonstrated a strong binding affinity between the key constituents of Chuanzhi Tongluo Capsules and the core targets. This study comprehensively elucidated the chemical constituents of Chuanzhi Tongluo Capsules and explored the core targets and mechanism in the treatment of cerebral infarction based on network pharmacology, providing a scientific reference for the study of the pharmacological substance basis and formulation quality standards of Chuanzhi Tongluo Capsules.
Humans ; Tandem Mass Spectrometry/methods* ; Chromatography, High Pressure Liquid/methods* ; Molecular Docking Simulation ; Network Pharmacology ; Drugs, Chinese Herbal/pharmacology* ; Capsules ; Atherosclerosis ; Cerebral Infarction ; Neoplasms

BACKGROUND: Patients with atrial fibrillation (AF) and prior stroke history have a high risk of cardiovascular events despite anticoagulation therapy. It is unclear whether catheter ablation (CA) has further benefits in these patients. METHODS: AF patients with a previous history of stroke or systemic embolism (SE) from the prospective Chinese Atrial Fibrillation Registry study between August 2011 and December 2020 were included in the analysis. Patients were matched in a 1:1 ratio to CA or medical treatment (MT) based on propensity score. The primary outcome was a composite of all-cause death or ischemic stroke (IS)/SE. RESULTS: During a total of 4.1 ± 2.3 years of follow-up, the primary outcome occurred in 111 patients in the CA group (3.3 per 100 person-years) and in 229 patients in the MT group (5.7 per 100 person-years). The CA group had a lower risk of the primary outcome compared to the MT group [hazard ratio (HR) = 0.59, 95% CI: 0.47-0.74, P < 0.001]. There was a significant decreasing risk of all-cause mortality (HR = 0.43, 95% CI: 0.31-0.61, P < 0.001), IS/SE (HR = 0.73, 95% CI: 0.54-0.97, P = 0.033), cardiovascular mortality (HR = 0.32, 95% CI: 0.19-0.54, P < 0.001) and AF recurrence (HR = 0.33, 95% CI: 0.30-0.37, P < 0.001) in the CA group compared to that in the MT group. Sensitivity analysis generated consistent results when adjusting for time-dependent usage of anticoagulants. CONCLUSIONS In AF patients with a prior stroke history, CA was associated with a lower combined risk of all-cause death or IS/SE. Further clinical trials are warranted to confirm the benefits of CA in these patients.

The effect of Tujia medicine Berberidis Radix on endogenous metabolites in the serum and feces of mice with ulcerative colitis(UC) induced by dextran sulfate sodium(DSS) was analyzed by metabolomics technology to explore the metabolic pathway and underlying mechanism of Berberidis Radix in the intervention of UC. The UC model was induced in mice by DSS. Body weight, disease activity index(DAI), and colon length were recorded. The levels of tumor necrosis factor-α(TNF-α) and interleukin-10(IL-10) in colon tissues were determined by ELISA. The levels of endogenous metabolites in the serum and feces were detected by ultra-high-performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF-MS). Principal component analysis(PCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA) were employed to characterize and screen differential metabolites. The potential metabolic pathways were analyzed by MetaboAnalyst 5.0. The results showed that Berberidis Radix could significantly improve the symptoms of UC mice and increase the level of the anti-inflammatory factor IL-10. A total of 56 and 43 differential metabolites were identified in the serum and feces, respectively, belonging to lipids, amino acids, fatty acids, etc. After the intervention by Berberidis Radix, the metabolic disorder gradually recovered. The involved metabolic pathways included biosynthesis of phenylalanine, tyrosine, and tryptophan, linoleic acid metabolism, phenylalanine metabolism, and glycerophospholipid metabolism. Berberidis Radix can alleviate the symptoms of mice with DSS-induced UC, and the mechanism may be closely related to the re-gulation of lipid metabolism, amino acid metabolism, and energy metabolism.
Mice ; Animals ; Colitis, Ulcerative/drug therapy* ; Interleukin-10 ; Metabolomics/methods* ; Chromatography, High Pressure Liquid

In this paper, the clinical data of a case of accidental poisoning of dimethylformamide in a traffic accident was analyzed. The patient was trapped in the driving room, his limbs were soaked in dimethylformamide for a long time, and dimethylformamide was inhaled at the same time. After 4 days of treatment in a local hospital, he was transferred to the Department of Poisoning & Occupational Diseases, Emergency Medicine of Qilu Hospital of Shandong University for treatment. The main clinical manifestation of the patient was liver damage and intractable abdominal pain, which was cured by active treatment.
Male ; Humans ; Dimethylformamide ; Abdominal Pain ; Occupational Diseases/complications* ; Poisoning