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.

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.

Atherosclerosis(AS)is a chronic multifactorial in-flammatory disease with undefined pathogenesis,which is the major pathogenic cause of cardiovascular disease(CVD).Quer-cetin is a natural polyphenolic compound abundantly present in various vegetables and fruits,which exerts protective effects on AS through anti-inflammatory,antioxidant,lipid metabolism regulation,as well as anti-senescence biological properties.In recent years,given the large number of related studies emerged at home and abroad,this review aims to summarize the research progress and mechanisms regarding the role of quercetin in the prevention and treatment of AS to provide reference for future re-lated research.

Objective To compare the effect of patient-controlled intravenous analgesia(PCIA)and superior inguinal liga-ment iliac fascia block combined with PCIA after hip replacement in the elderly.Methods Total of 82 elderly patients were treated with hip arthroplasty from June 2019 to June 2021 and randomly divided into observation group and control group.There were 42 patients in control group,including 18 males and 24 females,aged from 60 to 78 years old with an average of(70.43±3.67)years old,28 femoral neck fractures and 14 femoral head necrosis,who received PCIA.The study group consist-ed of 42 cases,including 20 males and 22 females,aged from 61 to 76 years old with an average of(69.68±3.74)years old,25 femoral neck fractures and 17 femoral head necrosis,who received superior inguinal ligament iliac fascia block combined with PCIA.Pain visual analogue scale(VAS)and Ramesay sedation scores at2h,6h,12h,24h and 48 h after operation were e-valuated.In addition,the follow-up results of the total consumption of sufentanil and the total number of PCIA compressions at 48 hours after operation,the first time of landing after surgery,the time of hospital stay,the incidence of adverse reactions,the satisfaction with analgesia of two groups were observed.Results All patients were followed up for 9 to 24 months with an aver-age of(13.85±2.67)months.There was no significant difference in operation time and intraoperative bleeding between two groups(P＞0.05).There was no difference in VAS between two groups at 2 hours after operation(P＞0.05),and the VAS of the study group at 6 h,12 h,24 h and 48 h after operation were lower than those of the control group(P＜0.05).The Ramesay seda-tion scores of the study group at 2 h,6 h and 12 h after operation were higher than those of the control group(P＜0.05),and there were no differences in Ramesay score between two groups at 24 h and 48 h after operation(P＞0.05).The consumption of sufentanil in the study group within 48 hours after operation was lower than that in the control group(P＜0.05),and PCIA com-pression times were lower than those in the control group(P＜0.05),and the time of first landing was earlier than that in the control group(P＜0.05).There was no significant difference in hospital stay,adverse reaction rate,complications between two groups(P＞0.05).The satisfaction of analgesia in the study group was higher than that in the control group(P＜0.05).Conclu-sion Superior iliac fascia block of inguinal ligament combined with PCIA has significant analgesic and sedative effects after hip arthroplasty in the elderly.It can reduce the amount of sufentanil used and the total number of PCIA compressions,which is conducive to the early activity of patients out of bed,improve the satisfaction of analgesia.

Objective To observe the value of habitat model based on lung CT for predicting brain metastasis(BM)of lung adenocarcinoma with epidermal growth factor receptor(EGFR)mutation.Methods Data of plain lung CT of 198 lung adenocarcinoma patients with EGFR-mutant were retrospectively analyzed.The patients were divided into training set(n=138)and test set(n=60)at the ratio of 7∶3,and further divided into BM subgroup and non-BM subgroup in each set.Then a logistic regression(LR)clinical model was constructed using variables being statistically different between subgroups in training set.For features extracted from tumor and subregion of tumor,radiomics models and habitat models were constructed based on random forest,Gaussian process(GP)and support vector machine(SVM)algorithms,and the best radiomics and habitat models with generalization ability were screened.LR combined model was constructed based on the predicted values of the best radiomics and habitat models with generalization ability,as well as the clinical model.Then receiver operating characteristic curves were drawn,and the area under the curves(AUC)were calculated to evaluate the efficacy of each model for predicting BM of lung adenocarcinoma with EGFR-mutant.Spearman correlation analysis was performed to observe the correlations between Ki-67 and habitat features of lung adenocarcinoma with EGFR-mutant.Results AUC of LR clinical model,GP radiomics model,SVM habitat model and LR combined model for predicting BM of lung adenocarcinoma with EGFR-mutant was 0.700,0.726,0.801 and 0.834 in training set,0.754,0.600,0.715 and 0.848 in test set,respectively.AUC of LR combined model was higher than that of LR clinical model in training set(P＜0.001),also higher than that of GP radiomics model in test set(P=0.010).Compared with GP radiomics model and SVM habitat model,the performance of LR combined model was significantly and positively improved in training set(integrated discrimination improvement index[IDI]=8.60%,8.55%,both P＜0.001).Ki-67 level of EGFR-mutant lung adenocarcinoma was lowly and positively correlated with habitatmap_original_glszm_lalgle extracted from habitat map(│rs│=0.201,P=0.004).Conclusion The habitat model based on lung CT could be used to predict BM of lung adenocarcinoma with EGFR-mutant effectively.

Objective To explore whether voluntary wheel running affects liver oxidative stress by regulating the Nrf2/HO-1 pathway,thereby alleviating HFFC diet-related lipid deposition in the liver.Methods Eight-week-old C57BL/6J mice were randomly divided into a normal diet group(NC group,n=10)and high-fat,fructose,and cholesterol diet group(HFFC group,n=20)after 1 week of adaptive feeding.Ten weeks of feeding later,mice in the HFFC group were divided into a quiet group(HFFC group,n=10)and HFFC combined with exercise group(HFFC+EX group,n=10).HFFC+EX group mice were caged with voluntary running wheels for free movement,and the number of running wheels was recorded every day for 8 weeks.After the last treatment,the mice were sacrificed by fasting for 12 hours at an interval of 24 hours,and the blood and liver were collected for analysis.Results(1)Body weight,liver weight,and liver index of mice fed the HFFC diet were significantly higher than those of the NC group,which significantly decreased after exercise(P＜0.05).(2)Compared with the NC group,HDL-C and LDL-C in the HFFC group were significantly increased,and the LDL-C level was significantly decreased after 8 weeks of exercise(P＜0.05).(3)The liver fat droplet area and liver TG content in the HFFC group were significantly higher than those in the NC group,whereas those in HFFC+EX group were significantly decreased(P＜0.05).(4)Compared with the NC group,the content of oxidase MDA in the HFFC group were significantly increased,and nuclear translocation and gene expression of Nrf2 were significantly decreased.After exercise,the activities of SOD and T-AOC were significantly increased,and the nuclear translocation and gene expression of Nrf2 and expression levels of HO-1 and SOD-1 were significantly increased(P＜0.05).(5)The number of apoptotic hepatocytes and CHOP expression in the HFFC diet group were significantly higher than those in the NC group,whereas the number of apoptotic hepatocytes,and CHOP and Bax/Bcl-2 expression in the exercise group were significantly lower than those in the NC group(P＜0.05).Conclusions Voluntary wheel can alleviate HFFC diet induced liver lipid deposition by regulating the Nrf2/HO-1 pathway,thereby alleviating oxidative stress and reducing apoptosis in liver cells.

Objective:To investigate the effect of CD8+CD28-T cells on acute graft-versus-host disease(aGVHD)after haploidentical hematopoietic stem cell transplantation(haplo-HSCT).Methods:The relationship between absolute count of CD8+CD28-T cells and aGVHD in 60 patients with malignant hematological diseases was retrospectively analyzed after haplo-HSCT,and the differences in the incidence rate of chronic graft-versus host disease(cGVHD),infection and prognosis between different CD8+CD28-T absolute cells count groups were compared.Results:aGVHD occurred in 40 of 60 patients after haplo-HSCT,with an incidence rate of 66.67％.The median occurrence time of aGVHD was 32.5(20-100)days.At 30 days after the transplantation,the absolute count of CD8+CD28-T cells of aGVHD group was significantly lower than that of non-aGVHD group(P=0.03).Thus the absolute count of CD8+CD28-T cells at 30 days after transplantation can be used to predict the occurrence of aGVHD to some extent.At 30 days after transplantation,the incidence rate of aGVHD in the low cell count group(CD8+CD28-T cells absolute count＜0.06/μl)was significantly higher than that in the high cell count group(CD8+CD28-T cells absolute count ≥0.06/μl,P=0.011).Multivariate Cox regression analysis further confirmed that the absolute count of CD8+CD28-T cells at 30 days after transplantation was an independent risk factor for aGVHD,and the risk of aGVHD in the low cell count group was 2.222 times higher than that in the high cell count group(P=0.015).The incidence of cGVHD,fungal infection,EBV infection and CMV infection were not significantly different between the two groups with different CD8+CD28-T cells absolute count.The overall survival,non-recurrent mortality and relapse rates were not significantly different between different CD8+CD28-T cells absolute count groups.Conclusion:Patients with delayed CD8+CD28-T cells reconstitution after haplo-HSCT are more likely to develop aGVHD,and the absolute count of CD8+CD28-T cells can be used to predict the incidence of aGVHD to some extent.The absolute count of CD8+CD28-T cells after haplo-HSCT was not associated with cGVHD,fungal infection,EBV infection,and CMV infection,and was also not significantly associated with the prognosis after transplantation.

Pain is one of the most common and unendurable symptoms in cancer patients and a major factor affecting their quality of life.Patient-controlled analgesia(PCA) is an important palliative measure in additional to conventional pharmacological control of pain.Nurses play the primary role in the management of PCA for cancer pain, and their knowledge, attitude and practice about PCA for cancer pain directly affect the effectiveness of cancer pain management.This article summarizes and analyzes the current status of nurses' knowledge, attitude and practice and associated influencing factors, aiming to improve nursing management of PCA, reinforce specialized nursing training, propose recommendations for an expert consensus on PCA for cancer pain and provide a reference for nursing practice in PCA for cancer pain.

AIM To investigate the effects of Zuogui Jiangtang Tongmai Recipe on necroptosis pathway in a rat model of type 2 diabetes mellitus(T2DM)complicated with cerebral infarction(CI).METHODS The SD rats were randomly divided into the sham operation group,the model group,the metformin group(0.045 g/kg),and the low,medium and high dose Zuogui Jiangtang Tongmai Recipe groups(6.5,13,26 g/kg),with 9 rats in each group.In contrast to rats of the sham operation group,rats of the other groups were given 4 weeks feeding of high-sugar and high-fat diet combined with intraperitoneal injection of streptozotocin to establish a T2DM rat model with one week stable blood glucose,followed by gavage of corresponding drugs 3 days before the establishment of the middle cerebral artery occlusion(MCAO)model.After 7 days of administration,the rats had their CI injury assessed by mNSS method and TTC staining;their level of blood glucose detected by blood glucose meter;their levels of glycated serum protein,serum TNF-α and IL-1β detected by ELISA;their cerebral mRNA expressions of FADD,RIPK1,RIPK3 and MLKL detected by RT-qPCR;and their cerebral protein expressions of FADD,p-RIPK1,p-RIPK3 and p-MLKL detected by Western blot.RESULTS Compared with the sham operation group,the model group displayed increased levels of blood glucose value,glycosylated serum protein,neurological function score,cerebral infarction volume,cerebral FADD,RIPK1,RIPK3 and MLKL mRNA expressions,cerebral FADD,p-RIPK1,p-RIPK3 and p-MLKL protein expressions,serum TNF-α and IL-1β levels(P＜0.01);and more disordered and morphologically diverse neurons with smaller nucleus.Compared with the model group,the groups intervened with medium or high dose Zuogui Jiangtang Tongmai Recipe,or metformin shared improvement in terms of the aforementioned indices(P＜0.05,P＜0.01);and more neurons with regular morphology neat arrangement,and reduced cell gap.CONCLUSION Zuogui Jiangtang Tongmai Recipe can improve the neurological dysfunction of the rat model of T2DM complicated with CI,which may associate with the inhibited activation of necroptosis signaling pathway.

Objective To observe the clinical efficacy of Tongfengke Granules combined with external treatment of TCM in acute gouty arthritis(AGA)with damp-heat accumulation type.Methods A total of 96 patients with AGA were divided into the experimental group and the control group according to random number table method,with 48 patients in each group.The control group received meloxicam treatment.On this basis,the experimental group was treated with Tongfengke Granules(1 bag at a time,three times a day,orally)combined with external therapy of TCM(once a day),and mobile continuing care.The treatment for both groups lasted for 2 weeks.The clinical efficacy of both groups was observed.Before and after the treatment,pain visual analogue scale(VAS),TCM syndrome scores,major symptom scores,and levels of serum uric acid(UA),interleukin-6(IL-6),erythrocyte sedimentation rate(ESR),C-reactive protein(CRP),platelet/lymphocyte ratio(PLR),as well as engagement in self-care ability scale(ESCA),general self-efficacy scale(GSES),negative psychological condition[self-rating depression scale(SDS),self-rating anxiety scale(SAS)]were measured.The adverse reactions in both groups were monitored.Results Totally 45 and 47 patients in the experimental group and control group were finally included respectively in the analysis.The total effective rate of the experimental group was 75.6%(34/45),while that of the control group was 63.8%(30/47),with statistical significance(P<0.05).Compared with before treatment,the VAS score and TCM syndrome score in the experimental group decreased significantly(P<0.05);after treatment,the VAS score and TCM syndrome score of the experimental group were lower than those of the control group(P<0.05).Compared with before treatment,the joint pain,joint tenderness,joint swelling,and joint mobility limitation scores in both groups were significantly decreased after treatment(P<0.05,P<0.01);after treatment,the scores of joint pain,joint tenderness,and joint swelling in the experimental group were lower than those in the control group(P<0.01).Compared with before treatment,the levels of UA,ESR,CRP and PLR in both groups decreased significantly after treatment(P<0.01);after treatment,the levels of UA,ESR,CRP and PLR in the experimental group were lower than those in the control group(P<0.05,P<0.01).Compared with before treatment,the experimental group showed significant improvement in ESCA,GSES and SAS after treatment(P<0.05,P<0.01),while the control group showed significant improvement in ESCA(P<0.01);after treatment,the ESCA and GSES of the experimental group were better than those of the control group(P<0.05,P<0.01).There was no statistical significance in safety indicators and incidence of adverse reactions between the two groups(P>0.05).Conclusion Tongfengke Granules combined with external treatment of TCM can significantly improve the clinical efficacy of AGA,reduces UA levels,significantly improves inflammatory response,and has anti-inflammatory,anti-inflammatory,and analgesic effects.