Dry eye disease(DED)is a multifactorial disorder with an unclear pathogenesis. Advances in omics technologies have introduced a novel medical research approach, enabling the identification of global response variables from a single-factor perspective. However, multi-omics methods integrate multiple omics datasets to analyze all potential response variables, generating multidimensional and evidence-supported holistic inferences. These insights help elucidate functional impairments of ocular cells and biomolecular processes during disease progression, thereby revealing correlations between biomolecules and complex diseases. This review summarizes the application of multi-omics technologies in clarifying the pathogenesis and intricate molecular mechanisms of dry eye disease. Distinctive features from genomics, transcriptomics, proteomics, metabolomics, and microbiomics are integrated to deepen the understanding of the pathogenesis and complex molecular mechanisms underlying dry eye disease.

Purpose: Our previous study showed that circulating tumor cell (CTC) count combined with gene mutation detection might help differentiate benign and malignant pulmonary nodules (PNs). Herein, we aimed to expand the study cohort and conduct further sequencing analysis. Materials and Methods: Patients with PNs were included, and CTCs were identified before operation. Low-coverage whole-genome sequencing (LC-WGS) and lung cancer-related targeted gene sequencing were performed on CTCs. The diagnostic efficacy was evaluated by receiver operating characteristic (ROC) curve. The differences in CTC counts among subgroups classified by demographic–clinical characteristics were analyzed. LC-WGS–based copy number variation (CNV) analysis and targeted gene mutation analysis were conducted. Results: A total of 172 patients were included. CTC count of 2.5 was identified by the ROC curves as the optimal diagnostic cutoff. The sensitivity and specificity of CTC count for differentiating benign and malignant PNs were 54.2% and 78.6%, respectively. The diagnostic sensitivity and specificity of combined CTC count, radiological nodule type, and any malignant imaging features were 84.7% and 71.4%, respectively. The CTC counts were significantly greater in patients with aggressive tumors, later stage, and spread through air spaces. CTCs from malignant cases had more CNVs than those from benign cases. Conclusion CTC count can be used in identifying malignant PNs. The diagnostic efficacy can be improved if combined with computed tomography imaging characteristics. Further CNV analysis might help differential diagnosis. Greater CTC count might suggest more aggressive tumors. CTC detection can provide important information and guidance for subsequent management of PNs.

Processed electroencephalogram (EEG) indices, such as the Bispectral Index, have markedly influenced anesthesia practice as they translate brain activity into simple numerical indices. Nevertheless, as the manufacturing algorithms are not disclosed, the underlying neurophysiology remains obscured. Additionally, these indices are often affected by electromyographic contamination, pharmacological variability, and patient-specific EEG heterogeneity. In contrast, an EEG spectrogram, or density spectral array, preserves the frequency- and time-resolved structures of cortical oscillations. This information is presented in a form that is both physiologically meaningful and clinically interpretable. In this review, we trace the evolution of anesthesia from an index-based to a spectrogram-guided approach, and summarize the clinical rationale for adopting the latter. Key applications of this approach include the use of frontal alpha power as a biomarker of cortical stability and postoperative brain health, the identification of nociceptive arousal through alpha dropout and beta or delta arousal patterns, and individualized titration of multimodal or age-specific anesthetic management. Although current devices lack standardized quantitative alpha metrics and have limited sensitivity for low-frequency brain wave components, structured EEG education programs have proven to be effective in terms of fostering spectrogram literacy among anesthesiologists. By combining neurophysiological precision with bedside practicality, the EEG spectrogram represents a pivotal advance toward individualized, mechanism-based, and brain-protective anesthesia, transforming anesthetic monitoring from mere algorithmic abstraction to cortical insight.

Objective To evaluate the long-term survival of patients with T1a-bN0M0 non-small cell lung cancer (NSCLC) after sublobar resection. Methods Patients with T1a-bN0M0 NSCLC who underwent sublobar resection from 2004 to 2015 were selected from the Surveillance, Epidemiology, and End Results (SEER) database, and divided into a segmentectomy group and a wedge resection group according to the resection method. After propensity-score matching at a ratio of 1:1, the overall survival (OS) and disease-specific survival (DSS) of patients were analyzed using Cox regression model, log-rank test, and restricted mean survival time (RMST). Results A total of 3262 patients were included in the study, including 1321 males and 1941 females, with a median age of 69.0 years. Among them, 2419 patients were in the wedge resection group and 843 patients were in the segmentectomy group. After matching, 843 pairs of patients were obtained. The results showed that the 10-year DSS rate (68.0% vs. 60.6%, P=0.011) and 10-year OS rate (40.8% vs. 37.0%, P=0.049) of the segmentectomy group were better than those of the wedge resection group, while there was no statistical difference in the 5-year DSS rate (82.9% vs. 79.5%, P=0.112) or 5-year OS rate (68.9% vs. 64.9%, P=0.096). Multivariate Cox regression analysis revealed that male gender [HR=1.54, 95%CI (1.28-1.86), P<0.001] and age [HR=1.02, 95%CI (1.01-1.03), P<0.001] were independent risk factors for DSS, while increased number of regional nodes dissected (RND) [HR=0.98, 95%CI (0.96-1.00), P=0.018] and segmentectomy [HR=0.82, 95%CI (0.68-0.98), P=0.030] served as protective factors. For OS, male gender [HR=1.54, 95%CI (1.35-1.75), P<0.001], age [HR=1.04, 95%CI (1.03-1.04), P<0.001], and histological subtypes of squamous cell carcinoma [HR=1.62, 95%CI (1.41-1.86), P<0.001] or large cell carcinoma [HR=1.64, 95%CI (1.07-2.52), P=0.023] were identified as independent risk factors, whereas increased RND was a protective factor [HR=0.98, 95%CI (0.97-0.99), P=0.002]. Surgical approach was not an independent prognostic factor for OS. Subgroup analysis showed that segmentectomy had a better 10-year OS-RMST in patients with adenocarcinoma (P=0.045), right lower lobe tumor (P=0.014), and tumor diameter ≤1.6 cm (P=0.006). Conclusion Increasing lymph node dissection during sublobar resection may improve prognosis. Compared with wedge resection, segmentectomy may improve the long-term DSS rate of patients with T1a-bN0M0 NSCLC.

Age-related macular degeneration(ARMD)is a common multifactorial disease among the elderly, which may lead to irreversible vision loss; however, the pathogenesis of ARMD is still unclear. Metabolomics is a relatively new “omics” technique that can provide qualitative and quantitative information about low molecular weight metabolites that make up biological systems, thereby revealing the physiological or pathological state of cell or tissue samples at specific time points. In recent years, increasing evidence suggests that metabolic dysfunction plays an important role in the development and progression of ARMD. Metabolic pathway dysregulation involves lipid metabolism, nucleotide metabolism, amino acid metabolism, and energy metabolism, which may play important roles in the occurrence and development of ARMD. The retina is one of the most metabolically active tissues in the human body, so using metabolomics techniques to measure molecular changes in ARMD will further enhance our understanding of the pathogenesis. This will provide important insights for the prevention and treatment of ARMD, This article reviews the application of metabolomics in ARMD.

Objective: To investigate the influencing factors of overactive bladder (OAB) in college freshmen and the impacts of OAB on their mental health, quality of life and social interaction. Methods: An epidemiological questionnaire survey was conducted in an anonymous manner on the prevalence of OAB among 5300 freshmen aged 17 to 22 years enrolled in the 2023—2024 academic year in Xinxiang Medical University and Sanquan College of Xinxiang Medical University.The questionnaire included questions on basic information, history of urinary tract infection, constipation, smoking, history of alcohol consumption, history of coffee/strong tea drinking, history of carbonated beverage drinking, redundant prepuce, phimosis, holding urine, chronic insomnia, self-rating anxiety scale (SAS), quality of life score (QoL), and social avoidance and distress scale (SADS).The influencing factors of OAB were analyzed with multivariate logistic regression analysis.The subjects were grouped according to whether they had OAB, and the differences in SAS, QoL and SADS between the OAB group and non-OAB group were compared.The impacts of OAB on the anxiety level, quality of life, and social interaction were analyzed with multiple linear regression analysis. Results: The overall prevalence rate of OAB was 4.9% (244/5018).Multivariate logistic regression analysis showed that the history of urinary tract infection (OR=0.177), constipation (OR=0.636), smoking (OR=0.582), alcohol consumption (OR=0.685), coffee/strong tea drinking (OR=0.387), carbonated beverage drinking (OR=0.631), redundant prepuce (OR=0.673), phimosis (OR=0.311), urine holding (OR=0.593), and chronic insomnia (OR=0.256) were influencing factors for the occurrence of OAB (P＜0.05).The OAB group had higher SAS score [(41.18±6.54) vs. (38.61±6.36)], QoL score [(3.65±1.20) vs. (2.79±0.95)], social avoidance score [(6.25±1.86) vs. (5.86±1.51)], social distress score [(6.27±1.59) vs. (5.97±1.32)], and total SADS score [(12.51±2.35) vs. (11.84±2.01)] than the non-OAB group (P＜0.05).The results of multiple linear regression analysis showed that OAB could independently affect the scores of QoL, SAS, and SADS.The OAB group had higher scores of QoL, SAS, and SADS compared with the non-OAB group (P＜0.001). Conclusion: History of urinary tract infection, constipation, smoking, alcohol consumption, coffee/strong tea drinking, carbonated beverage drinking, redundant prepuce, phimosis, urine holding, and chronic insomnia are influencing factors for the occurrence of OAB in male college students.Moreover, OAB has negative impacts on their mental health, quality of life, and social interaction.

Objective To compare the cost-effectiveness between sodium valproate and levetiracetam in the treatment of childhood epilepsy and provide an economic basis for clinical medication choices. Methods A cost-effectiveness analysis was conducted using a decision tree model to compare the effectiveness and drug costs of sodium valproate and levetiracetam in treating childhood epilepsy. Single-factor sensitivity analysis and probabilistic sensitivity analysis were used to assess the impact of parameter variations on the study results. Results The treatment cost of levetiracetam was significantly higher than that of sodium valproate. The incremental cost-effectiveness ratio （ICER） of levetiracetam compared to sodium valproate was ¥8 628.43. Sensitivity analysis results were consistent with the base-case analysis. The probabilistic sensitivity analysis showed that, over a 6-month treatment period, levetiracetam became a more cost-effective option when the willingness-to-pay （WTP） threshold was ¥9,000 or higher. One-way sensitivity analysis revealed that the price of levetiracetam was the most influential factor affecting the ICER. Conclusion When the WTP per effective pediatric epilepsy case is ¥9,000 or higher, levetiracetam demonstrates a cost-effectiveness advantage.

Objective:To evaluate the impact of roxadustat on thyroid function and to identify the associated factors in patients undergoing maintenance peritoneal dialysis (PD).Methods:This study was a single-center retrospective study. PD patients who received roxadustat or recombinant human erythropoietin (rHuEPO) treatment at Nanjing Drum Tower Hospital between January 2020 and June 2024 were included. The general and clinical information as well as laboratory indexes were collected. Serum free triiodothyronine (FT3), free thyroxine (FT4) and thyroid-stimulating hormone (TSH) were compared before and after treatment initiation. Hemoglobin (Hb) responses were also observed between the two groups. Logistic regression analysis was performed to explore the factors associated with thyroid function changes.Results:A total of 120 patients were enrolled, with an age of (55.17±16.42) years, including 66 males (55.0%). There were 81 patients received roxadustat (roxadustat group) and 39 patiens received rHuEPO (rHuEPO group). Compared to the rHuEPO group, the roxadustat group had a higher proportion of patients with diabetes ( χ 2= 4.172, P=0.041), a shorter PD vintage ( Z=-3.406, P=0.002), a lower serum level of total cholesterol ( Z=-2.082, P=0.037) and a lower level of fasting blood glucose ( Z=-2.589, P=0.010). Following treatment with roxadustat, the levels of FT4 ( Z=-5.349, P<0.01) and TSH ( Z=-3.720, P<0.01) decreased significantly. In contrast, no significant changes in FT4 or TSH levels were observed in the rHuEPO group (both P>0.05). For both roxadustat and rHuEPO groups, there were no significant changes in FT3 levels after treatment (both P>0.05). Multivariate analysis identified that higher baseline TSH (TSH≥2.27 μIU/ml, OR=1.581, 95% CI 1.196-2.089, P=0.001) and roxadustat exposure ( OR=3.432, 95% CI 1.410-8.355, P=0.007) as independent associated factors of subsequent TSH decline, and identified that higher baseline FT4 (FT4≥14.9 pmol/L, OR=1.390, 95% CI 1.162-1.662, P=0.001) and roxadustat exposure ( OR=5.798, 95% CI 2.225-15.113, P=0.001) as independent associated factors of subsequent FT4 decline. The degrees of hemoglobin changes after roxadustat or rHuEPO treatment did not differ significantly between roxadustat group and rHuEPO group ( t=-1.062, P=0.290). Of the 31 patients who underwent a second thyroid function test during roxadustat treatment, 24 continued with the original regimen, while 7 discontinued roxadustat. Among 24 patients who maintained roxadustat treatment, TSH ( Z=-0.400, P=0.689) and FT4 ( t=0.143, P=0.888) remained stable between the second and third tests. All 7 patients who discontinued roxadustat treatment showed TSH rebound and the changes of TSH levels were more significant than that in continuers ( Z=-2.505, P=0.012). FT4 recovery occurred in only 3 of them, with no significant difference in FT4 change between discontinuers and continuers ( Z=-0.685, P=0.493). Conclusions:Roxadustat commonly suppresses TSH and FT4, but not FT3, in PD patients. Baseline levels of TSH and FT4 are key associated factors of the inhibitory effect of roxadustat on thyroid function. This suppression does not intensify with prolonged exposure and is reversible after discontinuation, with TSH levels normalizing more quickly than FT4. Roxadustat-induced thyroid suppression does not compromise its efficacy in treating renal anemia.

Objective:To explore the value of 18F-fluorodeoxyglucose ( 18F-FDG) PET-CT dual-modality habitat imaging technology in predicting the epidermal growth factor receptor (EGFR) mutation status in lung adenocarcinoma. Methods:This study was designed as a cross-sectional study. Clinical and imaging data of 403 patients with lung adenocarcinoma who underwent 18F-FDG PET-CT imaging with definitive EGFR results from January 2018 to April 2022 at the Third Affiliated Hospital of Soochow University were retrospectively analyzed.The patients were divided into a development set (282 cases) and a validation set (121 cases) using a stratified random sampling method at a 7∶3 ratio. An adaptive clustering algorithm was used to segment the regions of interest, forming different habitats and obtaining derived parameters. Independent samples t-test or Mann-Whitney U test were used to compare clinical, imaging indicators, and habitat-derived parameters between EGFR mutant and wild-type patient. The clinical, imaging indicators, and habitat-derived parameters that showed statistically significant differences in univariate analysis were included in multivariate logistic regression to construct clinical and clinical-habitat combined models, respectively. The receiver operating characteristic curve and area under the curve (AUC) were used to evaluate the model′s ability to predict EGFR mutations in lung adenocarcinoma. Additionally, the net reclassification index (NRI) was employed to assess the model′s classification improvement capability. Results:There were 249 cases of EGFR mutation and 154 cases of wild type. The optimal number of habitats was two, namely Habitat 1 and Habitat 2. The parameters included in the clinical model were smoking history, bronchial sign, pleural indentation sign, and tumor diameter. The parameters incorporated into the clinical-habitat combined model were smoking history, bronchial sign, pleural indentation sign, Habitat 2, and Habitat 1 voxel count. In the development set, the AUCs for predicting EGFR mutations in lung adenocarcinoma using the clinical model and the clinical-habitat combined model were 0.723 and 0.733, respectively, with no statistically significant difference ( Z=0.60, P=0.549); In the validation set, the AUCs were 0.684 and 0.715, respectively, with no statistically significant difference ( Z=1.32, P=0.186). The accuracy (0.694) and specificity (0.609) of the clinical-habitat combined model in the validation set were slightly higher than those of the clinical model (0.686 and 0.565, respectively). NRI analysis confirmed that the clinical-habitat combined model improved the correct classification of EGFR wild-type lung adenocarcinoma by 10.9% compared to the clinical model ( P=0.018). Conclusion:18F-FDG PET-CT dual-modality habitat imaging technology can be used to analyze the microenvironment of lung adenocarcinoma and has the potential in non-invasively predicting EGFR mutation status, providing an important basis for personalized and accurate treatment of patients with lung adenocarcinoma.

Adolescent idiopathic scoliosis(AIS)is a complex three-dimensional deformity involving coronal,sagittal,and axial planes,with a prevalence that should not be overlooked.With advancements in technology and in-depth research,an increasing number of hospitals and physicians are exploring standardized diagnostic and treatment approaches for AIS.Comprehensive and in-depth understanding is required for AIS,including its etiology,screening and diagnosis,classification,assessment and examination,treatment options,exploration of current focus,and evaluation of quality of life.Such understanding ensures that the diagnostic and treatment are scientific,standardized,and timely.Based on the principles of evidence-based medicine,a consensus on the diagnosis and treatment of AIS is reached after multiple discussions among spinal surgery experts,aiming to provide reference and guidance for clinical practice.