OBJECTIVE To establish the UPLC fingerprint and the method for multi-component content determination in Jingangteng capsules， and to evaluate its quality by combining chemical pattern recognition analysis. METHODS An UPLC method was established. Separation was performed on a Zorbax SB-C 18 Rapid Resolution HD column， with acetonitrile-0.1% formic acid as the mobile phase for gradient elution.Using the Similarity Evaluation System for Chromatographic Fingerprints of Traditional Chinese Medicines （2012 edition）， UPLC fi ngerprints were established for 10 batches of Jingangteng capsules， and similarity was evaluated. SPSS 22.0 and SIMCA 14.1 software were used to perform hierarchial-cluster analysis and orthogonal partial least squares discriminant analysis （OPLS-DA）， respectively. The same UPLC method was employed to determine the contents of chlorogenic acid， 3，5-dihydroxy-2-methylbenzoic acid-3- O -glucoside （M1）， caffeic acid， astilbin， oxyresveratrol， quercitrin and resveratrol in the 10 batches of samples. RESULTS A total of 17 common peaks were identified in UPLC fingerprints of the 10 batches of samples， of which 7 were identified as chlorogenic acid， M1， caffeic acid， astilbin， oxyresveratrol， quercitrin， and resveratrol. The similarities of 10 batches of samples ranged from 0.820 to 0.985. The results of hierarchial-cluster analysis showed that 10 batches of samples were grouped into four categories： S1-S4 formed one group， S5 and S6 formed another， S7， S8 and S10 formed a third， and S9 formed a fourth， consistent with the OPLS-DA results； the variable importance projection values for peaks 7， 10， 2， 16 （resveratrol）， 13 （oxyresveratrol）， 11， 6 （caffeic acid）， 5 （M1） and 15 （quercitrin） were ＞1. Quantitative analysis results showed that the contents of chlorogenic acid， M1， caffeic acid， astilbin， oxyresveratrol， quercitrin， and resveratrol were 1.650 8-4.213 7， 0.636 2-2.161 7， 0.031 0-0.086 5， 0.239 1-1.069 3， 0.211 9-1.104 0， 0.488 8-2.399 2， and 0.164 0-0.699 8 mg/g， respectively. CONCLUSIONS UPLC fingerprint and content determination methods established in this study are simple to operate， accurate， reliable and reproducible； when combined with chemical pattern recognition analysis， they can be used to evaluate the quality of Jingangteng capsules. Nine components， such as resveratrol， oxyresveratrol， caffeic acid， M1 and quercitrin， may serve as markers of quality variation.

Zhusha Anshenwan is a classical traditional Chinese medicine （TCM） formula originating from LI Dongyuan's Treatise on the Differentiation of Endogenous and Exogenous Injuries （Nei Wai Shang Bian Huo Lun） of the Jin-Yuan period. It is composed of five medicinal ingredients： Cinnabaris （Zhusha）， Coptidis Rhizoma （Huanglian）， Angelicae Sinensis Radix （Danggui）， Rehmanniae Radix （Shengdihuang）， and Glycyrrhizae Radix et Rhizoma （Gancao）. Under the guidance of TCM theory， this formula is used to treat syndromes of disturbed spirit， including insomnia， palpitations， and anxiety， caused by hyperactivity of heart fire and deficiency of Yin-blood， and it also exerts auxiliary anticonvulsant effects in epilepsy and related conditions. However， the potential neurotoxicity， hepatotoxicity， and nephrotoxicity of its monarch drug， Cinnabaris （mainly composed of mercuric sulfide， HgS）， together with the risk of in vivo accumulation， have rendered its clinical application controversial， and it has not yet been formally included in the Pharmacopoeia of the People's Republic of China. In addition， restrictions imposed by the Minamata Convention on Mercury have led to an increasing shortage of natural medicinal Cinnabaris resources， making the evaluation of the efficacy and safety of synthetic Cinnabaris particularly urgent. This contradiction highlights the complexity of safety evaluation for traditional medicines. Existing studies indicate that Zhusha Anshenwan exhibits definite pharmacological activities in calming the mind， improving sleep， and regulating emotional disorders. Moreover， other components of the formula may exert antagonistic effects on the toxicity of Cinnabaris， and reports of severe mercury poisoning caused by standardized clinical use of this prescription are extremely rare. Research suggests that other ingredients in the compound formula， such as Rehmanniae Radix， Coptidis Rhizoma， and Glycyrrhizae Radix et Rhizoma， may effectively alleviate the hepatorenal toxicity of Cinnabaris through mechanisms including modulation of the gut microbiota， formation of mercury complexes， and direct protection of target organs. This article aims to systematically review the progress in pharmacodynamic research on Zhusha Anshenwan， to explore its mechanisms of action in depth， and to analyze the toxicokinetic characteristics and safety risks of Cinnabaris， as well as the scientific connotations of toxicity reduction and efficacy enhancement achieved through compound compatibility. In addition， it compares Zhusha Anshenwan with other commonly used sedative formulas， with the aim of providing a scientific basis and forward-looking perspectives for the safe and rational application and in-depth development of this classical prescription in a modern context， and of emphasizing the important value of holistic research on TCM compound formulas in addressing the challenges of single-component toxicity.

Hepatocellular carcinoma (HCC) develops within a profoundly immunosuppressive tumor immune microenvironment (TIME), which limits the efficacy of immunotherapy. Polarization of tumor-associated macrophages (TAMs) toward a pro-tumorigenic M2 phenotype is a major driver of immune escape. Ferroptosis, an iron-dependent regulated cell death program, intersects with hepatic iron metabolism and immune regulation and thus offers promising points of therapeutic intervention. This review systematically elucidates the mechanistic role of TAM ferroptosis in HCC immune evasion and highlights a “bidirectional regulation” intervention strategy grounded in the Traditional Chinese medicine (TCM) principle of “fortifying healthy qi and eliminating pathogens” (Fuzheng Quxie). This strategy employs “eliminating pathogens” (Quxie) approaches to exploit the metabolic vulnerability of M2-like TAMs and precisely induce their ferroptosis. Moreover, it utilizes “fortifying healthy qi” (Fuzheng) approaches to protect M1-like TAMs and CD8⁺ T cells from oxidative damage. This parallel “induction-protection” paradigm demonstrates the unique advantages of TCM in systemically remodeling TIME through multitarget synergistic actions. Accordingly, precision regulation of TAM ferroptosis based on the Fuzheng Quxie theory represents a promising integrative Chinese-Western medicine strategy for overcoming current bottlenecks in HCC immunotherapy, although its clinical translational potential warrants further validation.

Objective To identify factors affecting and key environmental factors of the Oncomelania hupensis snail density in the Yangtze River Delta region using machine learning methods. Methods Administrative village-level O. hupensis snail survey data in the Yangtze River Delta (including Shanghai Municipality, Jiangsu Province, Zhejiang Province and Anhui Province) from 2011 to 2021 were retrieved from the Information Management System for Parasitic Disease Control of Chinese Center for Disease Control and Prevention. Environmental factor data were captured from the Google Earth Engine platform, including elevation, slope, terrain, normalized difference vegetation index (NDVI), vegetation type, soil type, total petroleum hydrocarbon (TPH), ammonium nitrogen, inorganic nitrogen, dissolved oxygen, pH of water, chemical oxygen demand (COD) and inorganic phosphorus, and climatic factor data in the study region were retrieved from the Copernicus Climate Data Store, including annual precipitation, aridity index and annual mean temperature (AMT). O. hupensis snail survey data in the Yangtze River Delta region from 2011 to 2021 were randomly divided into a training set (70%) and a test set (30%), and five machine learning models were selected for machine learning model construction and comparative analysis of the O. hupensis snail density using the software R 4.3.0, including random forest (RF), eXtreme gradient boosting (XGBoost), support vector machine (SVM), gradient boosting machine (GBM) and neural network (NN). The XGBoost model was employed to construct a predictive model for the O. hupensis snail density, and the impact of each environmental factor on O. hupensis snail distribution was quantified. The SHapley Additive exPlanations (SHAPs) values were calculated to estimate the average contribution of each variable to the model prediction, and the core environmental factors affecting the O. hupensis snail population density were screened. Results Among the five machine learning models, the XGBoost model exhibited the optimal comprehensive performance, with the coefficient of determination (R²) of 0.855, mean squared error (MSE) of 0.188, root mean squared error (RMSE) of 0.434 and mean absolute error (MAE) of 0.155, respectively. Analysis of factors affecting the O. hupensis snail density with the XGBoost model showed that among the 16 environmental factors, the top four high-impact factors ranked by SHAPs values included annual precipitation, elevation, aridity index and NDVI, with cumulative SHAPs contributions of 75%, which was higher than that of other environmental factors. If NDVI was higher than 0.6, the O. hupensis snail density increased with NDVI and peaked if NDVI was 0.8 (1.60 snails/0.1 m²). The O. hupensis snail density increased with elevation if the elevation ranged from 14 to 40 m, and slowly rose if the annual precipitation ranged from 900 to 1 300 mm, and then increased rapidly to the peak (1.52 snails/0.1 m²) if the annual precipitation ranged from 1 300 to 1 500 mm. In addition, the O. hupensis snail density increased rapidly to the maximum (1.60 snails/0.1 m²) if the aridity index ranged from 0.8 to 1.1, and decreased gradually if the aridity index exceeded 1.1. Conclusions The XGBoost model shows excellent performance in prediction of the O. hupensis snail density and identification of key environmental factors in the Yangtze River Delta region. Annual precipitation, elevation, aridity index and NDVI are key environmental factors affecting the distribution and density of O. hupensis snails in the Yangtze River Delta region.

Objective To assess the survival vulnerability of Oncomelania hupensis in Jiangxi Province under future climate scenarios, and to identify low-vulnerability areas for its survival in this province. Methods Village-level O. hupensis snail survey and O. hupensis snail control with chemical treatments in Jiangxi Province from 2016 to 2024 were captured from the Parasitic Disease Prevention and Control Information Management System of China Disease Prevention and Control Information System. Climatic data were primarily sourced from the Resource and Environmental Science Data Platform, Chinese Academy of Sciences (http://www.resdc.cn/), including annual average temperature, annual average precipitation, annual accumulated temperature above 10 °C, annual accumulated temperature above 0 °C, annual maximum temperature, annual minimum temperature, and annual average relative humidity, and nineteen bioclimatic variables were downloaded from the WorldClim website (https://www.worldclim.org/), including mean diurnal range, isothermality, temperature seasonality, and so on. Elevation and normalized difference vegetation index were catprued from the Resource and Environmental Science Data Platform, Chinese Academy of Sciences (http://www.resdc.cn/), and distance to rivers was downloaded from the WorldPop website (http://www.worldpop.org), and land use and land cover (LULC) data were downloaded from the Big Earth Data Center, Chinese Academy of Sciences (https://data.casearth.cn/), and nature reserve data were obtained from the China Nature Reserve Specimen Resource Sharing Platform (http://www.papc.cn/). Three Shared Socioeconomic Pathways (SSPs) from the Beijing Climate Center-Climate System Model version 2-Medium Resolution (BCC-CSM2-MR) global climate model were employed as future climate scenarios, including SSP126, SSP245, SSP585, and the biomod2 ensemble model in R package was used to simulate suitable habitats for O. hupensis snails in Jiangxi Province in 2050 and 2070 under these scenarios. A snail survival vulnerability index was constructed based on the area of suitable snail habitats, area covered by snail control through chemical treatment, area covered by nature reserves, and changes in snail habitat fragmentation, and a map of snail survival vulnerability distribution was plotted. Results The real area of snail habitats ranged from 78 486.76 to 85 309.47 hm², and the area of snail control with chemical treatment ranged from 10 138.98 to 13 240.16 hm² in Jiangxi Province from 2016 to 2024. There were 429 to 531 villages detected with snails during the nine-year period, and the number of actually snail-infested villages ranged from 645 to 686. A total of 818 snail-present points and 1 996 snail-absent points were obtained from snail survey records. The best performance of the biomod2 ensemble model was achieved if a weighted mean approach was used as the ensemble strategy, with a true skill statistic value of 0.799 and an area under the receiver operating characteristic curve of 0.957, and modeling identified annual average relative humidity and annual average precipitation as two most influencing climatic variables for snail distribution. Relative to the current areas of suitable snail habitats under present climate conditions, the area of suitable snail habitats was projected to expand by 24.49% to 46.28% in Jiangxi Province under future climate scenarios, and the proportion of nature reserves areas in the areas of suitable snail habitats was projected to decrease slightly from the current 2.77% to approximately 2.52%, while the proportion of areas of snail control through chemical treatment in areas of suitable snail habitats varied from 0.64% to 19.57%, and the percentage of changes in snail habitat fragmentation ranged from 3.86% to 12.23%. Based on these four indicators, the snail survival vulnerability index was estimated to range from –1.96 to 0.62 in Jiangxi Province. The arithmetic mean of the snail survival vulnerability index differed under three SSP scenarios (SSP126, SSP245 and SSP585), with the highest mean value (–0.69) in 2070 under SSP126, and the lowest mean value (–0.78) in 2070 under SSP585. Conclusions The snail survival vulnerability index ranges from –1.96 to 0.62 in Jiangxi Province under future climate scenarios, and the suitable habitats for O. hupensis snails appear an overall tendency towards expansion. Low-vulnerability snail habitats are mainly distributed along the shores of Poyang Lake and the Yangtze River in Jiangxi Province, partially overlapping with nature reserves. Intensified surveillance of O. hupensis snails is recommended in these areas in the future.

To understand the progress of, summarize the lessons learned from and analyze the challenges in the national schistosomiasis elimination program of China in 2024, this article presented the endemic situation of schistosomiasis and national schistosomiasis surveillance results in the People’s Republic of China in 2024. By the end of 2024, Shanghai Municipality, Zhejiang Province, Fujian Province, Guangdong Province and Guangxi Zhuang Autonomous Region continued to consolidate schistosomiasis elimination achievements, and 7 provinces of Jiangsu, Sichuan, Yunnan, Hubei, Hunan, Anhui and Jiangxi maintained the criteria of schistosomiasis transmission interruption. A total of 450 counties (cites, districts) were found to be endemic for schistosomiasis in China in 2024, including 26 061 endemic villages covering 73 630 500 residents at risk of infections. Among the 450 counties (cities, districts) endemic for schistosomiasis, 388 (86.22%) achieved the criteria of schistosomiasis elimination and 62 (13.78%) achieved the criteria of transmission interruption. In 2024, a total of 4 102 624 individuals received immunological tests for schistosomiasis in China, with 44 823 sero-positives identified (1.09% seroprevalence), and a total of 169 722 individuals received parasitological examinations, with 1 egg-positives detected. A total of 27 321 cases with advanced schistosomiasis were documented in China by the end of 2024. In 2024, a total of 575 686 bovines were raised in schistosomiasis-endemic villages of China, and 113 842 bovines received immunological tests, with 235 sero-positives detected (0.21% seroprevalence), while no egg-positives were identified among the 167 475 bovines receiving parasitological examinations. In 2024, snail survey was performed covering an area of 680 498.27 hm² in China, and 190 778.66 hm² snail habitats were identified, including 59.09 hm² emerging snail habitats and 704.23 hm² reemerging snail habitats. In 2024, a total of 19 665 schistosomiasis patients receiving chemotherapy with praziquantel in China, and expanded chemotherapy was given to humans at 571 722 person-times and to bovines at 306 740 herd-times. In addition, snail control with chemical treatment covered 117 111.37 hm² snail habitats across China in 2024, and the actual area of chemical treatment was 66 562.95 hm², while environmental improvements were performed in snail habitats covering an area of 1 374.26 hm². The national schistosomiasis surveillance results showed that the mean prevalence rates of Schistosoma japonicum infections were both 0 among humans and bovines in China in 2024, and no S. japonicum infection was detected in snails. These data demonstrated that the prevalence of schistosomiasis remained at a low level in China in 2024; however, the areas of snail habitats remained high and the number of fenced cattle showed a slight increase. To address these risks, it is imperative to maintain the integrated strategy with an emphasis on management of the source of S. japonicum infection and intensified snail control in high-risk areas, and to reinforce schistosomiasis surveillance and forecast and snail control in high-risk areas.

OBJECTIVE To investigate the effect and mechanism of Jingangteng capsules in the treatment of non-alcoholic fatty liver disease （NAFLD）. METHODS Thirty-two SD rats were randomly divided into normal group and modeling group. The modeling group was fed a high-fat diet to establish a NAFLD model. The successfully modeled rats were then randomly divided into model group， atorvastatin group[positive control， 2 mg/（kg·d）]， and Jingangteng capsules low- and high-dose groups [0.63 and 2.52 mg/（kg·d）]， with 6 rats in each group. The pathological changes of the liver were observed by hematoxylin-eosin staining and oil red O staining. Enzyme-linked immunosorbent assay was performed to determine the serum levels of triglycerides （TG）， total cholesterol （TC）， high-density lipoprotein cholesterol （HDL-C）， low-density lipoprotein cholesterol （LDL-C）， alanine transaminase （ALT）， aspartate transaminase （AST）， tumour necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， IL-6， IL-18. 16S rDNA amplicon sequencing and metabolomics techniques were applied to explore the effects of Jingangteng capsules on gut microbiota and metabolisms in NAFLD rats. Based on the E-mail：591146765@qq.com metabolomics results， Western blot analysis was performed to detect proteins related to the nuclear factor kappa-B （NF-κB）/NOD-like receptor family protein 3 （NLRP3） signaling pathway in the livers of NAFLD rats. RESULTS The experimental results showed that Jingangteng capsules could significantly reduce the serum levels of TG， TC， LDL-C， AST， ALT， TNF-α， IL-1β， IL-6， IL-18， while increased the level of HDL-C， and alleviated the hepatic cellular steatosis and inflammatory infiltration in NAFLD rats. They could regulate the gut microbiota disorders in NAFLD rats， significantly increased the relative abundance of Romboutsia and Oscillospira， and significantly decreased the relative abundance of Blautia （P＜0.05）. They also regulated metabolic disorders primarily by affecting secondary bile acid biosynthesis， fatty acid degradation， O-antigen nucleotide sugar biosynthesis， etc. Results of Western blot assay showed that they significantly reduced the phosphorylation levels of NF-κB p65 and NF-κB inhibitor α， and the protein expression levels of NLRP3， caspase-1 and ASC （P＜0.05 or P＜0.01）. CONCLUSIONS Jingangteng capsules could improve inflammation， lipid accumulation and liver injury in NAFLD rats， regulate the disorders of gut microbiota and metabolisms， and inhibit NF-κB/NLRP3 signaling pathway. Their therapeutic effects against NAFLD are mediated through the inhibition of the NF-κB/NLRP3 signaling pathway.

OBJECTIVE: To investigate the effect and mechanism of Hyssopus cuspidatus Boriss. extract (HCE) in ovalbumin (OVA)-induced allergic asthma. METHODS: Components identification of HCE was conducted using ultra performance liquid chromatography-quadrupole-time of flight-mass spectrometry. Mice were sensitized with OVA to establish asthmatic model, and dexamethasone was used as positive control. Respiratory reactivity, white cells counting in bronchoalveolar lavage fluid and peripheral blood, cytokine level measurement in serum and lung tissue, and histologic examination were performed to evaluate the therapeutic effect of HCE on asthma. Network pharmacology approach was used for mechanism prediction. Western blotting and untargeted lipidomics method were applied for mechanism validation. RESULTS: Fifty-two compounds were identified in HCE, predominantly terpenoids and flavonoids. HCE markedly reduced airway resistance, the eosinophil infiltration in lung tissues, and the levels of immunoglobulin E, interleukin-4, interleukin-5, and interleukin-13. Network pharmacology analysis suggested phosphatidylinositol 3-kinases (PI3K), c-Jun N-terminal kinase (JNK), and p38 Mitogen-activated protein kinase (p38 MAPK) may be key proteins of HCE in the treatment of allergic asthma. Western blot results indicated that the levels of phosphorylated PI3K, JNK, and P38 were downregulated in HCE-treated group. Moreover, HCE significantly upregulated the levels of ceramide and sphingomyelin and downregulated the level of phosphatidylcholine. CONCLUSION HCE inhibited allergic asthma via PI3K/JNK/P38 signaling pathway and lipid homeostasis regulation.

OBJECTIVE To prepare Arg-Gly-Asp（RGD）-modified doxorubicin （DOX）-loaded “core-shell” nanoparticles （RGD@DOX-LPNs）， characterize the nanoparticles， and investigate their antitumor effects. METHODS RGD@DOX-LPNs were prepared using the nanoprecipitation method. Their morphology was examined by visual inspection and electron microscopy. Particle size， polydispersity index （PDI）， and Zeta potential were determined， and differential scanning calorimetry （DSC） and X-ray diffraction （XRD） were employed. Encapsulation efficiency （EE）， drug loading （DL）， and stability were evaluated. The in vitro release kinetics， mucus diffusion， and tumor cell uptake [tracked using coumarin 6 （COU）] were investigated. The in vivo tissue distribution and gastrointestinal retention [labeled with 11-chloro-1， 1′-dipropyl-3， 3， 3′， 3′-tetramethyl-10， 12- trimethyleneindotricarbocyanine iodide （IR780）] were investigated. Using 4T1 tumor-bearing mice as the experimental subjects， the effects of the prepared formulation on tumor volume， tumor weight， and cell apoptosis rate were evaluated. RESULTS RGD@DOX-LPNs presented as orange transparent liquid with uniform and near-spherical particles. The particle size was （159.67± 8.02） nm， PDI was 0.15±0.06， and Zeta potential was （－19.70±0.79） mV. After modification with RGD， the thermal absorption peak and crystalline diffraction peak of DOX disappeared. EE and DL of RGD@DOX-LPNs were （72.65±4.37）% and （4.62± 0.38）% ， respectively. No obvious changes in appearance， particle size， or EE were observed after storage at 4 ℃ and 25 ℃ for 7 days. The cumulative drug release at 4 h was approximately 73%， which was lower than that of free DOX（almost completely released within 1 h）. The amount of COU in the first segmental mucus layer of COU-LPNs was significantly lower than that in the corresponding segment of RGD@COU- LPNs， whereas it was significantly higher in the 2nd to 5th segmental mucus layers compared to RGD@COU-LPNs （P＜0.01）. Cellular uptake of RGD@COU-LPNs was significantly higher than that of COU-LPNs（P＜0.05）. The isolated tissue fluorescence intensity of RGD@IR780-LPNs was stronger than that of IR780-LPNs， indicating better small intestinal retention. Compared with free DOX and unmodified nanoparticles （DOX-LPNs）， RGD@DOX-LPNs exhibited a higher tumor inhibition rate of 65.74%， significantly reduced tumor volume and weight， and increased apoptosis rate（P＜0.01）. CONCLUSIONS RGD@DOX-LPNs are successfully prepared with sustained release properties， which can improve gastrointestinal mucus retention， enhance cellular uptake of DOX， and have potent antitumor activity against breast cancer.

Objective:To determine appropriate cutoff values for evaluating hypoxemia severity in patients with obstructive sleep apnea (OSA).Methods:This cross-sectional study selected data from 1, 781 young patients with obstructive sleep apnea (OSA) who underwent polysomnography in the Department of Otorhinolaryngology Head and Neck Surgery of the Sixth Medical Center of PLA General Hospital from January 2015 to June 2023. The cohort included 1, 604 males and 177 females, with a mean age of (32.6±5.3) years. The relationship between the minimum arterial oxygen saturation (MSaO 2) and the prevalence of hypertension in this population was investigated. Subjects were categorized into seven groups based on MSaO 2 levels: Group 1 (MSaO 2≥90%), Group 2 (85%≤MSaO 2<90%), Group 3 (80%≤MSaO 2<85%), Group 4 (75%≤MSaO 2<80%), Group 5 (70%≤MSaO 2<75%), Group 6 (65%≤MSaO 2<70%), and Group 7 (MSaO 2<65%). The prevalence of hypertension in each group was statistically analyzed, and the chi-square test was used to identify significant differences in hypertension prevalence. The diagnostic performance of the new versus traditional grouping methods was evaluated using receiver operating characteristic (ROC) curve analysis. Results:Among the 1, 781 OSA patients, 915 had hypertension. The prevalence of hypertension in Groups 1 to 7 was 27.8%, 42.4%, 52.2%, 54.1%, 59.5%, 70.5%, and 75.4%, respectively. Significant differences in hypertension prevalence were observed between Group 1 and other groups, Group 2 and Groups 5-7, Group 3 and Groups 6-7, and Group 4 and Group 7( χ2=187.94, P<0.001). After merging the groups based on MSaO 2 thresholds of≥90%, 90%>MSaO 2≥85%, 85%>MSaO 2≥75%, and MSaO 2<75%, the prevalence of hypertension in the new groups was 27.8%, 42.4%, 53.0%, and 71.2%, respectively, with significant differences between adjacent groups( χ2=178.99, P<0.001). ROC curve analysis revealed that the area under the curve (AUC) for the new grouping method (0.676) was higher than that for the original grouping method (0.664). Conclusions:As hypoxemia severity increases in OSA, so does the prevalence of comorbid hypertension. Using MSaO 2 cutoff values of 90%, 85%, and 75% to categorize hypoxemia severity appears more appropriate compared to the existing guideline values of 90%, 85%, and 80%.