Obstructive sleep apnea (OSA) is an increasingly widespread sleep-breathing disordered disease, and is an independent risk factor for many high-risk chronic diseases such as hypertension, coronary heart disease, stroke, arrhythmias and diabetes, which is potentially fatal. The key to the prevention and treatment of OSA is early diagnosis and treatment, so the assessment and diagnostic technologies of OSA have become a research hotspot. This paper reviews the research progresses of severity assessment parameters and diagnostic technologies of OSA, and discusses their future development trends. In terms of severity assessment parameters of OSA, apnea hypopnea index (AHI), as the gold standard, together with the percentage of duration of apnea hypopnea (AH%), lowest oxygen saturation (LSpO₂), heart rate variability (HRV), oxygen desaturation index (ODI) and the emerging biomarkers, constitute a multi-dimensional evaluation system. Specifically, the AHI, which measures the frequency of sleep respiratory events per hour, does not fully reflect the patients’ overall sleep quality or the extent of their daytime functional impairments. To address this limitation, the AH%, which measures the proportion of the entire sleep cycle affected by apneas and hypopneas, deepens our understanding of the impact on sleep quality. The LSpO₂ plays a critical role in highlighting the potential severe hypoxic episodes during sleep, while the HRV offers a different perspective by analyzing the fluctuations in heart rate thereby revealing the activity of the autonomic nervous system. The ODI provides a direct and objective measure of patients’ nocturnal oxygenation stability by calculating the number of desaturation events per hour, and the biomarkers offers novel insights into the diagnosis and management of OSA, and fosters the development of more precise and tailored OSA therapeutic strategies. In terms of diagnostic techniques of OSA, the standardized questionnaire and Epworth sleepiness scale (ESS) is a simple and effective method for preliminary screening of OSA, and the polysomnography (PSG) which is based on recording multiple physiological signals stands for gold standard, but it has limitations of complex operations, high costs and inconvenience. As a convenient alternative, the home sleep apnea testing (HSAT) allows patients to monitor their sleep with simplified equipment in the comfort of their own homes, and the cardiopulmonary coupling (CPC) offers a minimal version that simply analyzes the electrocardiogram (ECG) signals. As an emerging diagnostic technology of OSA, machine learning (ML) and artificial intelligence (AI) adeptly pinpoint respiratory incidents and expose delicate physiological changes, thus casting new light on the diagnostic approach to OSA. In addition, imaging examination utilizes detailed visual representations of the airway’s structure and assists in recognizing structural abnormalities that may result in obstructed airways, while sound monitoring technology records and analyzes snoring and breathing sounds to detect the condition subtly, and thus further expands our medical diagnostic toolkit. As for the future development directions, it can be predicted that interdisciplinary integrated researches, the construction of personalized diagnosis and treatment models, and the popularization of high-tech in clinical applications will become the development trends in the field of OSA evaluation and diagnosis.

The accumulation of uremic toxins such as urea nitrogen, blood creatinine, and uric acid of patients with renal failure in vivo would lead to aggravated kidney damage. In this study, coated aldehyde oxy-starch (CAO) was used as an adsorbent to investigate its in vitro adsorption performance on renal failure indexes for urea, indoxyl sulfate (INS), monomethylamine (MMA), dimethylamine (DMA), uric acid (UA), and creatinine (Cr). The effects of variables such as pH, temperature, concentration, dosage, and time on the adsorption capacity of CAO were systematically investigated, employing analytical techniques of high-performance liquid chromatography (HPLC) and gas chromatography (GC). The results revealed that CAO exhibited a strong adsorption capacity for urea, INS, and MMA, alongside a moderate adsorption capacity for DMA, UA, and Cr. The adsorption kinetics and thermodynamic studies indicated that the adsorption of urea and UA by CAO were fitted in pseudo-first-order kinetics, and the adsorption isotherm aligned with the Freundlich adsorption model. The enthalpy change ΔH of urea in adsorption was in the range of 40 to 60 kJ·mol^-1, which demonstrated the presence of strong adsorption force due to the interactions of coordinating groups. The ΔH of UA was greater than 80 kJ·mol^-1, indicating the generation of chemical bonds during the adsorption. Both of them, Gibbs free energy ΔG was less than 0, within the range of -20 to 0 kJ·mol^-1, suggested that the adsorption of urea and UA by CAO occurred spontaneously as physical adsorption process. The adsorption entropy ΔS of urea and UA was > 0, which indicated an increase in entropy throughout the adsorption. The infrared spectroscopygram showed the formation of a chemical bond, specifically the imine bond, following the adsorption of urea by CAO, thereby indicating a chemical reaction during the adsorption. This study elucidates the adsorption mechanism of CAO on various indexes of renal failure, providing a scientific basis for its clinical usage.

ObjectiveTo explore the effect of Yishen Tongluo prescription on sperm DNA fragmentation index （DFI） and sperm mitochondrial membrane potential （MMP） in patients with asymptomatic idiopathic asthenospermia infertility. MethodsA total of 128 patients with asymptomatic idiopathic asthenospermia were randomly assigned to an experimental group （64 cases） and a control group （64 cases）. The experimental group received Yishen Tongluo prescription， while the control group was treated with Wuzi Yanzongwan combined with L-carnitine oral solution. One treatment course lasted 12 weeks. Spouse pregnancy rate， sperm progressive motility （PR）， total sperm motility （PR+NP）， sperm function （sperm tail hypotonic swelling rate， sperm acrosin activity）， sperm DFI， and sperm MMP were compared between the two groups before and after treatment. Adverse reactions were observed and recorded during the study， and clinical efficacy and safety were systematically evaluated. ResultsA total of 121 patients completed the study， including 61 in the experimental group and 60 in the control group. The spouse pregnancy rate in the experimental group was 14.75% （9/61）， higher than that in the control group at 6.67% （4/60）， though the difference was not statistically significant. Clinical efficacy in the experimental group was superior to that in the control group （P<0.05）. Compared with the results before treatment， sperm PR， PR + NP， sperm tail hypotonic swelling rate， sperm acrosin activity， sperm DFI， and sperm MMP were significantly improved in both groups after treatment （P<0.05）， with greater improvements in the experimental group （P<0.05）. However， there was no significant change in sperm concentration in either group after treatment. During the study， no abnormal safety indicators or significant adverse reactions occurred in either group. ConclusionThe kidney-tonifying and collateral-dredging method shows good clinical efficacy in the treatment of asymptomatic idiopathic asthenospermia infertility. Yishen Tongluo prescription can improve sperm motility， increase spouse pregnancy rate， enhance sperm function， and demonstrates good safety. Its mechanism may be related to reducing sperm DFI and increasing sperm MMP.

Cardiovascular disease (CVD), chronic kidney disease (CKD), and metabolic disorders are the 3 major chronic diseases threatening human health, which are closely related and often coexist, significantly increasing the difficulty of disease management. In response, the American Heart Association (AHA) proposed a novel disease concept of “cardiovascular-kidney-metabolic (CKM) syndrome” in October 2023, which has triggered widespread concern about the co-treatment of heart and kidney diseases and the prevention and treatment of metabolic disorders around the world. This review posits that effectively managing CKM syndrome requires a new and multidimensional paradigm for diagnosis and risk prediction that integrates biological insights, advanced technology and social determinants of health (SDoH). We argue that the core pathological driver is a “metabolic toxic environment”, fueled by adipose tissue dysfunction and characterized by a vicious cycle of systemic inflammation and oxidative stress, which forms a common pathway to multi-organ injury. The at-risk population is defined not only by biological characteristics but also significantly impacted by adverse SDoH, which can elevate the risk of advanced CKM by a factor of 1.18 to 3.50, underscoring the critical need for equity in screening and care strategies. This review systematically charts the progression of diagnostic technologies. In diagnostics, we highlight a crucial shift from single-marker assessments to comprehensive multi-marker panels. The synergistic application of traditional biomarkers like NT-proBNP (reflecting cardiac stress) and UACR (indicating kidney damage) with emerging indicators such as systemic immune-inflammation index (SII) and Klotho protein facilitates a holistic evaluation of multi-organ health. Furthermore, this paper explores the pivotal role of non-invasive monitoring technologies in detecting subclinical disease. Techniques like multi-wavelength photoplethysmography (PPG) and impedance cardiography (ICG) provide a real-time window into microcirculatory and hemodynamic status, enabling the identification of early, often asymptomatic, functional abnormalities that precede overt organ failure. In imaging, progress is marked by a move towards precise, quantitative evaluation, exemplified by artificial intelligence-powered quantitative computed tomography (AI-QCT). By integrating AI-QCT with clinical risk factors, the predictive accuracy for cardiovascular events within 6 months significantly improves, with the area under the curve (AUC) increasing from 0.637 to 0.688, demonstrating its potential for reclassifying risk in CKM stage 3. In the domain of risk prediction, we trace the evolution from traditional statistical tools to next-generation models. The new PREVENT equation represents a major advancement by incorporating key kidney function markers (eGFR, UACR), which can enhance the detection rate of CKD in primary care by 20%-30%. However, we contend that the future lies in dynamic, machine learning-based models. Algorithms such as XGBoost have achieved an AUC of 0.82 for predicting 365-day cardiovascular events, while deep learning models like KFDeep have demonstrated exceptional performance in predicting kidney failure risk with an AUC of 0.946. Unlike static calculators, these AI-driven tools can process complex, multimodal data and continuously update risk profiles, paving the way for truly personalized and proactive medicine. In conclusion, this review advocates for a paradigm shift toward a holistic and technologically advanced framework for CKM management. Future efforts must focus on the deep integration of multimodal data, the development of novel AI-driven biomarkers, the implementation of refined SDoH-informed interventions, and the promotion of interdisciplinary collaboration to construct an efficient, equitable, and effective system for CKM screening and intervention.

Objective:This study aimed to analyze the genomic characteristics of Varicella-Zoster Virus (VZV) strains circulating in Jilin province from 2010 to 2023.Methods:Vesicle fluid from 78 sporadic cases with VZV infection were collected in Jilin province from 2010 to 2023, after detecting by Real-time PCR, 26 specimens (CT<25) were detected by PCR. Open reading frame 22(ORF22), ORF38 and ORF62 were amplified and analyzed. Genotyping was confirmed by SNPs ORF22 (37902, 38019, 38055, 38081 and 38177) and ORF38 (69424). Vaccine strains were indentified from wild-type strains according to ORF38 (69349) and ORF62 (106262, 107252, and 108111). Sequences were analyzed by homologous comparison and phylogenetic analysis.Results:The comparison with Dumas sequence revealed that SNPs (37902, 38055, 38081 and 38177) in ORF22 and ORF38 (69424) have mutations similar to the pOka strain, which belong to clade 2. Compared to the Dumas and Baike strains, all 26 samples were wild-type strains. JL2016-4 strain changes from threonine to asparaginyl at position 38059, JL2021-4 strain changes from arginine to proline at position 37933, from aspartic acid to tyrosine at position 37935, and from aspartic acid at base 38031 to tyrosine. JL2023-1 strain changes from arginine to leucine at position 37933.Conclusions:VZV has been prevalent for 14 years in Jilin province. The main epidemic strains belong to the clade 2. We should strengthen the monitoring of VZV outbreaks and raise the coverage rate of VZV vaccination.

Intramedullary needle(IMN)has the advantages of high healing rate and low incidence of complications in treatment of tibial fracture,and has become one of the most commonly used fixation methods for the treatment of tibial fracture.However,due to the patient's own factors,fracture location and fracture type,infection and surgical treatment,bone nonunion after IMN still occurs in clinic.Bone nonunion leads to the increase of medical cost and prolonged the hospitalization time of patients,which causes great pain to patients,and also brings great challenges to the treatment of orthopedic surgeons.Therefore,this paper reviews the influencing factors of bone nonunion after IMN for tibial fracture,in order to provide reference for clinical treatment.

Objective:To investigate the effects of down-regulation of p21 activated kinase 1(PAK1)on the proliferation,differentiation,and apoptosis of myeloproliferative neoplasm(MPN)cells(6133/MPL)with thrombopoietin receptor MPL mutation at codon 515(MPLW515L)and survival of 6133/MPL mice.Methods:Interference with the protein level of PAK1 in 6133/MPL cells was assessed using lentivirus-mediated shRNA transfection technology.CCK-8 assay was used to detect the effect of down-regulation of PAK1 on the proliferation viability of 6133/MPL cells,and colony-forming ability was measured by cell counting.Flow cytometry was used to detect the PAK1 kinase activity on the ability of polyploid DNA formation and cell apoptosis in 6133/MPL cells.The expression of cyclin D1,cyclin D3 and apoptosis-related protein Bax was detected by Western blot.The infiltration of tumor cells in spleen and bone marrow of 6133/MPL mice were detected by HE staining.Results:Down-regulation of PAK1 inhibited the proliferation and reduced the ability of cell colony formation of 6133/MPL cells.After knocking down PAK1,the content of polyploid DNA in 6133/MPL cells increased from 31.8 to 57.5％and 48.0％,and the proportion of apoptosis increased approximately to 10.8％.Down-regulation of PAK1 led to a reduction of infiltration of tumor cells in liver and bone marrow of 6133/MPL mice,thereby prolonging survival time.Conclusion:Down-regulation of PAK1 can significantly inhibit the growth of 6133/MPL cells,promote the formation of polyploid DNA,induce 6133/MPL cell apoptosis,and prolong the survival time of 6133/MPL mice.

Objective:To evaluate the effect of transcutaneous electrical acupoint stimulation (TEAS) on postoperative fatigue syndrome in patients with Parkinson′s diseases undergoing bilateral deep brain electrical stimulation.Methods:Sixty patients with Parkinson′s disease, aged 60-80 yr, of American Society of Anesthesiologists Physical Status classification Ⅱ or Ⅲ, with body mass index of 18.5-29.9 kg/m 2, undergoing elective bilateral deep brain electrical stimulation, were divided into transcutaneous electrical acupoint stimulation group (TEAS group) and sham stimulation group (Sham group), with 30 patients in each group, using the random number table method. The TEAS of bilateral Zusanli and Sanyin points was performed on admission to the operating room with alternative stimulation at a frequency of 2/10 Hz and an intensity of 6-15 mA. The stimulation was stopped when the neurosurgeon performed the microelectrode recording, and TEAS was continued until the end of operation after the microelectrode recording was finished. In Sham group, electrode pads were only placed at the acupoint with no stimulation. The Christensen score was assessed at 1 day preoperatively (T 0) and 1, 3 and 7 days postoperatively (T 1-3) to evaluate the occurrence of postoperative fatigue syndrome. The 15-item Quality of Recovery scale score, emergence agitation and rescue analgesia within 48 h after surgery were recorded. Results:Compared with Sham group, Christensen scores were significantly decreased at T 1-3, 15-item Quality of Recovery scale scores were increased, and the incidence of postoperative fatigue syndrome and emergence agitation and rate of rescue analgesia were decreased in TEAS group than in Sham group ( P<0.05). Conclusions:TEAS can reduce the development of postoperative fatigue syndrome in the patients with Parkinson′s diseases undergoing bilateral deep brain electrical stimulation.

AIM To investigate the protective effects of Tangtongyin on podocyte injury in rats with diabetic nephropathy(DN).METHODS The DN rat models established by feeding of high-fat and high-sugar diet combined with multiple injections of streptozotocin(STZ)were randomly divided into the model group,the irbesartan group(13.5 mg/kg)and the low-dose,medium-dose and high-dose Tangtongyin groups(930,1 860,3 720 mg/kg),in contrast to those normal rats of the blank group.In the 8 weeks consecutive administration,each group was intragastrically dosed with the corresponding drug once daily.The rats had their fasting blood glucose(FBG),24-hour urine protein(24-h UP),serum creatinine(Scr)and blood urea nitrogen(BUN)levels detected;their renal pathological changes observed by HE staining;their ultrastructural changes of renal podocytes observed by transmission electron microscopy;their mRNA expressions of renal PTEN,PI3K,Akt,nephrin,podocin and CD2AP detected by RT-qPCR;and their protein expressions of renal PTEN,PI3K,Akt,p-Akt,nephrin,podocin and CD2AP detected by Western blot.RESULTS Compared with the model group,the Tangtongyin groups displayed decreased levels of FBG,24-h UP,Scr and BUN(P＜0.05,P＜0.01);improved renal pathological morphology and podocyte ultrastructure;increased mRNA and protein expressions of PTEN,nephrin,podocin and CD2AP(P＜0.05,P＜0.01);and decreased expression of p-Akt protein(P＜0.05,P＜0.01).Additionally,the medium-dose and high-dose Tangtongyin groups shared indecreased mRNA and protein expressions of PI3K and Akt(P＜0.05,P＜0.01).CONCLUSION Tangtongyin can protect the renal podocytes in DN rats,and its mechanism may associate with its efficacy via PTEN/PI3K/Akt signaling pathway.

Objective To identify the risk factors of patients with frequent acute exacerbations of chro-nic obstructive pulmonary disease(AECOPD)and construct a prediction model based on the clinical data,provi-ding a theoretical basis for the clinical prevention and treatment.Methods A total of 25 638 COPD patients ad-mitted to the Department of Respiratory and Critical Care Medicine,the Third People's Hospital of Chengdu from January 1,2013 to May 1,2023 were selected.Among them,11 315 patients were included according to the inclusion and exclusion criteria,and their clinical characteristics were analyzed.Multivariate Logistic regression was carried out to identify the risk factors for frequent AECOPD.A nomogram model was utilized to quantify the risk of acute exacerbation,and the performance of the prediction model was assessed based on the area under the receiver operating characteristic(ROC)curve.Results In the patients with frequent AECOPD,male percentage(P＜0.001),age(P＜0.001),urban residence(P＜0.001),smoking(P＜0.001),length of stay(P＜0.001),total cost(P＜0.001),antibiotic cost(P＜0.001),diabetes(P=0.003),respiratory failure(P＜0.001),heart disease(P＜0.001),application of systemic glucocorticoids(P＜0.001),white blood cell count(P＜0.001),neutrophil percentage(P＜0.001),C-reactive protein(P＜0.001),total cholesterol(P＜0.001),and brain natriuretic peptide(BNP)(P＜0.001)were all higher than those in the patients with infre-quent AECOPD.Multivariate Logistic regression analysis revealed that age,urban residence,smoking,diabe-tes,heart disease,Pseudomonas aeruginosa infection,application of systemic glucocorticoids,antibiotics,re-spiratory failure,and elevated white blood cell count,total cholesterol,and BNP were independent risk factors for hospitalization due to frequent AECOPD.A nomogram model of hospitalization due to frequent AECOPD was constructed according to risk factors.The ROC curve was established to evaluate the performance of the model,which showed the area under the ROC curve of 0.899(95％CI=0.892-0.905),the sensitivity of 85.30％,and the specificity of 79.80％.Conclusions Frequent AECOPD is associated with smoking,heart disease,ap-plication of systemic glucocorticoids,Pseudomonas aeruginosa infection,age,low body mass index,and elevat-ed BNP.Predicting the risks of hospitalization due to frequent AECOPD by the established model can provide the-oretical support for the treatment and risk factor management of the patients.