ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

Wastewater-based epidemiology has emerged as a transformative surveillance tool for estimating substance consumption and monitoring disease prevalence, particularly during the COVID-19 pandemic. It enables the population-level monitoring of illicit drug use, pathogen prevalence, and environmental pollutant exposure. In this perspective, we summarize the key challenges specific to the Chinese context: (1) Sampling inconsistencies, necessitating standardized 24-hour composite protocols with high-frequency autosamplers (≤ 15 min/event) to improve the representativeness of samples; (2) Biomarker validation, requiring rigorous assessment of excretion profiles and in-sewer stability; (3) Analytical method disparities, demanding inter-laboratory proficiency testing and the development of automated pretreatment instruments; (4) Catchment population dynamics, reducing estimation uncertainties through mobile phone data, flow-based models, or hydrochemical parameters; and (5) Ethical and data management concerns, including privacy risks for small communities, mitigated through data de-identification and tiered reporting platforms. To address these challenges, we propose an integrated framework that features adaptive sampling networks, multi-scale wastewater sample banks, biomarker databases with multidimensional metadata, and intelligent data dashboards. In summary, wastewater-based epidemiology offers unparalleled scalability for equitable health surveillance and can improve the health of the entire population by providing timely and objective information to guide the development of targeted policies.
China/epidemiology* ; Humans ; Wastewater/analysis* ; COVID-19/epidemiology* ; Public Health ; Wastewater-Based Epidemiological Monitoring ; SARS-CoV-2

Objective:To investigate the levels and clinical significances of miRNA-155-5p (miR-155-5p) and hypoxia inducible factor-1α (HIF-1α) in the bone marrow of patients with acute myeloid leukemia (AML)-M 5. Methods:A cross sectional study was conducted. The bone marrow samples were collected from 32 AML-M 5 patients who were admitted to the First Affiliated Hospital of Hebei North University from November 2023 to December 2024, and the bone marrow samples collected from 11 patients with megaloblastic anemia from November 2023 to May 2025 were used as controls. Reverse transcription real-time fluorescence quantitative polymerase chain reaction (qRT-PCR) was used to determine relative expression of miR-155-5p at the transcription level in bone marrow mononuclear cells, and enzyme-linked immunosorbent assay (ELISA) was used to measure the concentration of HIF-1α protein in bone marrow supernatant. The levels of miR-155-5p and HIF-1α in bone marrow were compared between AML patients and control group, as well as among AML patients with different prognostic risks. Spearman method was used to analyze the relationship between miR-155-5p level and HIF-1α level in bone marrow of AML patients and their levels with bone marrow and peripheral blood cell indicators. Results:Among the 32 AML-M 5 patients, 20 patients (62.5%) were male and 12 patients (37.5%) were female, with a median age [ M ( Q1, Q3)] of 63 (51, 70) years; according to the clinical response criteria recommended by the European Leukemia Network (ELN) in 2022, there were 12 cases (37.5%) of complete response (CR) and 8 cases (25.0%) of non-complete response (NCR); according to the risk stratification criteria recommended by ELN in 2022, there were 8 cases (25.0%) with good prognosis, 13 cases (40.6%) with moderate prognosis and 11 cases (34.4%) with poor prognosis. In the control group, there were 5 males and 6 females, with a median age of 68 (63, 72) years. There was no statistically significant difference in gender and age between the two groups (both P > 0.05). The transcription level relative expression of miR-155-5p in the bone marrow mononuclear cells of AML-M 5 patients [5.13 (2.83, 8.84) vs. 0.87 (0.56, 1.69)] and the concentration of HIF-1α protein in the bone marrow supernatant of AML-M 5 patients [(116±32) pg/ml vs. (58±22) pg/ml] were higher than those in the control group, and the differences were statistically significant (both P < 0.001). The relative expression of miR-155-5p at the transcription level in the initial diagnosis group and NCR group and the concentration of HIF-1α in the initial diagnosis group, NCR group and CR group were higher than those in the control group (all P < 0.01), the relative expression of miR-155-5p at the transcription level in the CR group was higher than that in the control group, but the difference was not statistically significant ( P > 0.05); the relative expression of miR-155-5p at the transcription level in the newly diagnosis group was higher than that in the CR group, and the difference was statistically significant ( P < 0.01). However, there was no statistically significant difference between the newly diagnosis group and the NCR group or between the NCR group and the CR group (all P > 0.05). The concentration of HIF-1α in the newly diagnosis group and NCR group was higher than that in the CR group, and the differences were statistically significant (both P < 0.05). However, there was no statistically significant difference between the newly diagnosis group and the NCR group ( P > 0.05). There was no statistically significant difference in the relative expression of miR-155-5p at the transcription level and HIF-1α concentration in bone marrow among AML-M 5 patients with poor prognosis, moderate prognosis and good prognosis (both P > 0.05). The level of miR-155-5p in the bone marrow of AML-M 5 patients was positively correlated with the level of HIF-1α ( r = 0.446, P = 0.010); the level of miR-155-5p in bone marrow was positively correlated with the proportion of bone marrow primitive cells ( r = 0.583, P < 0.001), peripheral blood leukocyte count ( r = 0.464, P = 0.008), peripheral blood monocyte count ( r = 0.464, P = 0.007), and peripheral blood monocyte-to-leukocyte ratio ( r = 0.457, P = 0.009). The concentration of HIF-1α in the bone marrow of AML-M 5 patients was positively correlated with the proportion of bone marrow primitive cells ( r = 0.568, P = 0.001) and peripheral blood mononuclear cells-to-white blood cells ratio ( r = 0.375, P = 0.034), but not with peripheral blood white blood cell count ( r = 0.159, P = 0.385) or peripheral blood mononuclear cell count ( r = 0.300, P = 0.095). Conclusions:The levels of miR-155-5p and HIF-1α in the bone marrow of AML-M 5 patients are relatively high, and the levels of both are lower in patients with remission. However, the levels of both may not be related to the risk of prognosis. The levels of miR-155-5p and HIF-1α in the bone marrow of AML-M 5 patients are positively correlated, and their levels are also positively correlated with major hematological indicators in the bone marrow and peripheral blood.

Objective:To investigate the alterations in gut microbiota diversity and inflammatory cytokine levels among patients with varying severities of insomnia, and to explore their interrelationships, in order to provide a theoretical basis for understanding the pathophysiology of insomnia.Methods:A total of 42 patients with chronic insomnia who visited the First Hospital of Hebei Medical University between March and December 2023 were enrolled in the insomnia group, and 22 age-and sex-matched healthy volunteers were recruited from the same hospital as the control group. General demographic data were collected, and Mini-International Neuropsychiatric Interview (MINI) was used to screen for comorbid psychiatric disorders. The Self-Rating Depression Scale (SDS) and the Self-Rating Anxiety Scale (SAS) were employed to evaluate individual′s depressive and anxiety symptoms. Sleep quality and insomnia severity were assessed using the Pittsburgh Sleep Quality Index (PSQI) and the Insomnia Severity Index (ISI), Participants′ gastrointestinal function and symptoms over the past week were evaluated using the Gastrointestinal Symptom Rating Scale (GSRS). Fecal and blood samples were collected from all participants. Gut microbiota diversity was analyzed using 16S rRNA sequencing. Differential taxa were identified using linear discriminant analysis effect size (LEfSe) and random forest analysis. Serum levels of inflammatory cytokines were measured by enzyme-linked immunosorbent assay (ELISA). Spearman correlation analysis was used to explore the relationships between insomnia symptoms, microbial diversity indices, key microbial taxa, and inflammatory markers. Multiple linear regression analysis was conducted to identify factors associated with insomnia severity.Results:Compared to the control group, both the mild insomnia group and the moderate-to-severe insomnia group showed significantly higher GSRS scores ( Z=-3.51, -2.72, both P<0.05). The Chao1 index was significantly lower in the mild and moderate-to-severe insomnia groups than in controls ( Z=-3.53, -3.87, both P<0.05). Similarly, the Observed species index was lower in both the mild and moderate-to-severe groups ( Z=-3.33, -3.74, both P<0.05). The Shannon index was significantly reduced in the moderate-to-severe group compared to both the mild group and controls ( Z=-2.81, -2.23, both P<0.05). The Simpson index in the moderate-to-severe group also tended to be lower than in the mild group ( Z=-1.95, P=0.051). Beta diversity differed significantly among the mild insomnia group, the moderate-to-severe insomnia group ( P<0.05), and the control group ( F=2.96, 3.12, both P<0.05). Random forest analysis identified Ruminococcus_D and Klebsiella as key microbial genera distinguishing between mild and moderate-to-severe insomnia. Inflammatory cytokine levels were significantly elevated in both insomnia groups compared to controls ( P<0.05). PSQI scores were negatively correlated with the Shannon index, the Observed species index, and the relative abundance of Ruminococcus_D ( r=-0.34, -0.30, and -0.25, respectively; all P<0.05). Multiple linear regression revealed that serum IL-1β (β=0.339, 95% CI=0.014-0.716, P=0.042) and Ruminococcus_D (β=-0.309, 95% CI=-194.591--8.318, P=0.034) were independent predictors of insomnia severity. Conclusion:Elevated inflammatory cytokine levels and reduced gut microbial richness may be closely associated with increased insomnia severity. Additionally, Ruminococcus_D and IL-1β may be important factors contributing to the severity of insomnia in affected individuals.

Regarding the challenge of early identification of critically ill patients with acute exacerbation of chronic obstructive pulmonary disease(AECOPD),a radiomics-clinical fusion model is proposed based on non-contrast CT images of accessory respiratory muscles to predict life-threatening conditions.A retrospective study is conducted involving 233 AECOPD patients(153 non-life-threatening and 80 life-threatening cases).Patients are divided into a training set(n=186)and a test set(n=47)at a 4:1 ratio.A total of 1 874 radiomic features are extracted from the erector spinae and pectoralis muscle regions delineated by radiologists on non-contrast CT images,and the features selection is performed using maximum relevance minimum redundancy and least absolute shrinkage and selection operator(LASSO)algorithms.Meanwhile,clinical data are analyzed with t-test and LASSO for variable screening.The selected features are input into C-support vector classification,Logistic regression,random forest,adaptive boosting(AdaBoost),and extreme gradient boosting(XGBoost)to construct radiomics model,clinical model,and fusion model.Predictive performance and clinical practicality are evaluated in the test set using receiver operating characteristic curve,area under the curve(AUC),and decision curve analysis.The radiomics-clinical fusion model built with XGBoost outperformed standalone radiomics and clinical models,achieving an AUC of 0.902(95％CI 0.846,0.994),with accuracy,sensitivity,specificity,and precision of 0.837,0.933,0.786,and 0.7,respectively.Results demonstrate that the fusion model based on the non-contrast CT radiomics of accessory respiratory muscles and clinical data exhibits promising diagnostic performance,highlighting its potential clinical significance for stratified management and preemptive critical care intervention in AECOPD patients.

Objective:To evaluate the effect of ultrasound-guided high ankle block (HAB) on the quality of postoperative recovery of patients undergoing foot and ankle surgery.Methods:In this randomized controlled trial, 90 patients of either sex, aged 18-64 yr, with a body mass index of 18-28 kg/m 2, of American Society of Anesthesiologists Physical Status classification Ⅰ-Ⅲ, scheduled for elective foot and ankle surgery, were divided into 2 groups ( n=45 each) using a random number table method: HAB group and spinal anesthesia group (SA group). Patients underwent ultrasound-guided HAB on the affected side in HAB group, while patients received spinal anesthesia in SA group. The Quality of Recovery-15 (QoR-15) scores were recorded at 24 and 48 h postoperatively. Additional data collected included anesthesia preparation and operation time, sensory and motor grading after anesthesia, anesthetic effect grading, surgery duration, intraoperative tourniquet time, block duration, time to first ambulation, and postoperative length of hospital stay. The time of first rescue analgesia and requirement for rescue algesia within 48 h postoperatively and the occurrence of adverse reactions such as hypotension, headache, nausea and vomiting, and urinary retention after anesthesia were also recorded. Results:Compared to SA group, QoR-15 scores and motor grading after anesthesia were significantly increased, the time to first ambulation and postoperative length of hospital stay were shortened, the duration of block and anesthesia preparation and operation time were prolonged at 24 h postoperatively, the rate of rescue analgesia wthin 48 h after operation and incidence of adverse reactions after anesthesia were decressed, and the time to first rescue analgesia was pronlonged in HAB group ( P<0.05). There were no significant differences between the two groups in sensory grading after anesthesia, anesthetic effect grading, intraoperative use of tourniquet time, and QoR-15 scores at 48 h postoperatively ( P>0.05). Conclusions:Ultrasound-guided HAB provides better quality of postoperative recovery than spinal anesthesia for the patients undergoing foot and ankle surgery.

Objective:To explore the feasibility of using a simplified multiple sleep latency test (MSLT) for the diagnosis of narcolepsy type 1.Methods:Data from 158 patients with narcolepsy type 1 and 58 patients with non-type 1 narcolepsy who underwent overnight video-polysomnography (V-PSG) and MSLT in the Sleep Center, Department of Neurology, Xijing Hospital, Air Force Military Medical University from March 2019 to April 2024 were retrospectively collected. By reducing the number of naps in the MSLT, the diagnostic consistency between the simplified MSLT and the standard 5-nap MSLT was evaluated using the receiver operating characteristic (ROC) curve. The DeLong test was used to compare whether there was a statistically significant difference between the simplified MSLT and the standard 5-nap MSLT. Cohen′s Kappa statistical analysis was performed to compare the diagnostic consistency between the simplified MSLT and the standard 5-nap MSLT.Results:The age of the 216 patients who were ultimately enrolled was 17 (13, 30) years, including 152 male patients (70.4%). The Cohen′s Kappa between the simplified 3-nap MSLT and the standard 5-nap MSLT was 0.875, which was 0.903 between the simplified 4-nap MSLT and the standard 5-nap MSLT (Bonferroni-corrected, both P0.001), indicating high and statistically significant agreement for both simplified protocols with the standard test. However, the DeLong test revealed that the area under the curve of the standard 5-nap MSLT (0.900, 95% CI 0.863-0.938) differed significantly from that of the simplified 3-nap MSLT (0.860, 95% CI 0.817-0.904; P0.05), whereas no significant difference was observed between the standard 5-nap MSLT and the simplified 4-nap MSLT (0.876, 95% CI 0.834-0.918; P0.05). Consequently, performing only the first 4 naps was sufficient for diagnosing narcolepsy type 1. Conclusion:The simplified 4-nap MSLT, specifically the first to fourth naps, may be used for the diagnosis of narcolepsy type 1.

Purpose To explore the clinicopathological features and potential clinical value of marginal zone lym-phoma(MZL)derived from T-bet positive memory B cell.Methods Clinical data of 67 cases of MZL were collected.Hematoxylin-eosin,immunohistochemistry,and multiple immunofluorescence stains,B cell receptor high throughput sequencing technology were used to study the histology,immunophenotype,and immunoglobulin heavy chain variable gene(IGHV)repertoire.Results T-bet was expressed in some MZL patients(34/67,50.75％),which was correla-ted with clinicopathological characteristics such as gender,clinical stage,and Ki67 proliferation index(P＜0.05),and also the progression-free survival was poor(P=0.012 2).T-bet positivity was a risk factor affecting the progres-sion of MZL.Microscopically,T-bet positive MZL frequently presented T-bet positive tumor B cells surrounded follicu-lar germinal center,"MALT ball"-type lymphoepithelial lesions,and IgG positive neoplastic plasma cells(P＜0.05).T-bet had no biased influence on the VH gene usage(P＞0.05).The common VH families were IGHV4 and IGHV3,and the segments were IGHV4-34 and IGHV3-30.The positivity of T-bet was associated with somatic hypermutation(SHM)state(P=0.014 9).The SHM was mainly in the range of 2％-4.9％in T-bet positive MZL,while in T-bet negative MZL the SHM was mostly greater than 5％.The VH gene usage was not correlated with the clinicopathological features of patients(P＞0.05).IGHV4 was correlated with progression-free survival in T-bet positive MZL(P=0.038 2).Conclusion The expression of T-bet in MZL is closely related to the clinicopathological features such as histology,plasma cell immunophenotype and IGHV gene repertoire,and the prognosis of patients is poor,which may be a potential molecular marker affecting the progression of MZL.

Cervical spinal cord injury without fracture-dislocation (CSCIWFD) is referred to as a special type of cervical spinal cord injury characterized by traumatic spinal cord dysfunction and no significant bony structural abnormalities on imagines. Duo to the high risk of missed diagnosis during the initial consultation, CSCIWFD may lead to progressive neurological deterioration or even complete paralysis, severely impacting patients′ prognosis. Currently, there are no established consensuses over the diagnosis and treatment of CSCIWFD, such as the lack of evidence-based standards for indications of non-surgical treatment and risk of secondary neurological injury, as well as debates over the optimal timing for surgical intervention and indications for different surgical approaches. To address these issues, the Spine Trauma Group of the Orthopedic Branch of the Chinese Medical Doctor Association organized experts in the relevant fields to formulate Diagnosis and treatment guideline for acute cervical spinal cord injury without fracture- dislocation in adults ( version 2025) . Based on evidence-based medicine and the principles of scientific rigor and clinical applicability, the guidelines proposed 11 recommendations covering terminology, diagnosis, evaluation treatment, and rehabilitation, etc., aiming to standardize the management of CSCIWFD.