Objective To explore an artificial intelligence (AI)-based method for automated hand hygiene monitoring and to compare the effectiveness of three algorithms (UniFormerV2, TDN, C3D) in recognizing hand hygiene steps in surgical settings, thereby aiding hospital infection control. Methods From April to October 2024, we non-invasively collected 641 video recordings of healthcare staff performing hand hygiene at four-bay scrub sinks in two tertiary hospitals using overhead HD cameras. The dataset was annotated by five trained experts for model training and validation. Results Following training on 385 samples, internal validation (n=119) showed the C3D model achieved 81% accuracy, 87% recall, and an 83% F1-score. The TDN model achieved 93%, 91%, and 92% for the same metrics. The UniFormerV2 model outperformed both, with an accuracy, recall, and F1-score of 93%—an improvement of over 10 percentage points compared to traditional CNNs (TDN, C3D). It also achieved an 84% accuracy in external validation, demonstrating strong generalization. Conclusion The UniFormerV2 model is more accurate than CNN-based models for hand hygiene step recognition and shows robust performance in external validation. It presents a viable tool for healthcare facilities to enhance hand hygiene management, ultimately improving medical quality and patient safety.

Objective​ To evaluate the clinical characteristics and influencing factors of fatigue in patients with rheumatoid arthritis （RA）， with the aim of providing guidance for clinical treatment. Methods​ Based on the multicenter real-world cohort of the China Registry of Traditional Chinese Medicine for Rheumatism （CERTAIN） platform， patients with RA enrolled from 2019 to 2025 were included. Demographic data， disease assessment indicators， laboratory indices， and traditional Chinese medicine （TCM） syndrome patterns were collected to analyze the TCM syndromes and clinical characteristics of RA patients with fatigue. Spearman correlation analysis and logistic regression analysis were used to identify factors associated with fatigue in RA. Results​ A total of 3 021 patients with RA were included， among whom 2 007 （66.43%） had fatigue. Compared with the non-fatigue group， the fatigue group was older and had a longer disease duration， with significantly higher scores for the 28-joint Disease Activity Score （DAS28）， swollen joint count （SJC）， tender joint count （TJC）， Health Assessment Questionnaire （HAQ）， pain visual analog scale （VAS）， and patient global assessment （PGA） （P<0.01）. Among TCM syndromes， fatigue was more common in patients with dampness-heat obstruction， cold-dampness obstruction， and liver-kidney deficiency syndromes （P<0.05）. Multivariate analysis revealed that morning stiffness duration exhibited a stepwise association with fatigue， while poor appetite， insomnia with frequent dreaming， restlessness， high HAQ scores， and high pain VAS scores were identified as risk factors. ConclusionFatigue is a prominent symptom in patients with RA and is more common among those with dampness-heat obstruction， cold-dampness obstruction， and liver-kidney deficiency syndromes. It is closely associated with disease activity， pain， functional limitation， sleep， and emotional status.

ObjectiveTo evaluate the effects of Qingre Huoxue prescription combined with methotrexate （MTX） and folic acid （FA） on homocysteine （Hcy） levels and disease activity in patients with rheumatoid arthritis （RA） complicated by hyperhomocysteinemia （HHcy）. MethodsOn the basis of a multicenter real-world cohort from the China Registry of Traditional Chinese Medicine for Rheumatism （CERTAIN） platform，408 patients with RA complicated by HHcy were selected and included in this study. Treatment with Qingre Huoxue prescription was used as the exposure factor. According to whether Qingre Huoxue prescription was combined with MTX and FA，patients were assigned into an exposure group of 281 cases and a control group of 127 cases. Follow-ups were conducted every three months，with the primary outcome indicator being the achievement rate of target Hcy level. A generalized estimating equation model was adopted to analyze the dynamic changes in Hcy level under different medication regimens. Kaplan-Meier analysis was performed to evaluate the cumulative achievement rate of target Hcy level in the two groups，and Cox regression analysis was conducted to explore the predictive factors affecting the achievement rate of target Hcy level. Changes in erythrocyte sedimentation rate （ESR），C-reactive protein （CRP），28-joint disease activity score （DAS 28），and Health Assessment Questionnaire-Disability Index （HAQ-DI） scores before and after the first combined treatment with Qingre Huoxue prescription were compared between the two groups. ResultsThe Hcy level in the exposure group showed a gradual decreasing trend over time，while the decrease in Hcy level was not significant in the control group. At the 12-month follow-up，the achievement rate of target Hcy level in the exposure group （124/281，44.13%） was higher than that in the control group （23/127，18.11%，P<0.01）. Multivariable Cox regression analysis showed that treatment with Qingre Huoxue prescription ［hazard ratio（HR）=3.013，95% confidence interval （CI） 2.188-4.149， P<0.001］， absence of comorbidities （HR=2.035， 95%CI 1.352-3.061， P<0.001）， and baseline Hcy <15 μmol·L^-1 （HR=1.810， 95%CI 1.390-2.357， P<0.001） were significantly associated with an increased likelihood of achieving target Hcy levels within 6 months. In contrast， higher PGA scores were associated with a reduced likelihood of achieving target Hcy levels （HR=0.991， 95% CI 0.986-0.997， P=0.003）. After treatment，the exposure group demonstrated reductions in ESR，CRP，and DAS 28 scores （P<0.05） and had lower ESR，CRP and DAS 28 scores than the control group （P<0.05）. ConclusionEven after taking FA supplements，some RA patients undergoing MTX treatment still have high Hcy levels. When being used in conjunction with MTX and FA，Qingre Huoxue prescription can effectively lower the Hcy level and disease activity in RA patients with HHcy，outperforming Western treatment alone.

ObjectiveTo evaluate the effects of Qingre Huoxue prescription combined with methotrexate （MTX） and folic acid （FA） on homocysteine （Hcy） levels and disease activity in patients with rheumatoid arthritis （RA） complicated by hyperhomocysteinemia （HHcy）. MethodsOn the basis of a multicenter real-world cohort from the China Registry of Traditional Chinese Medicine for Rheumatism （CERTAIN） platform，408 patients with RA complicated by HHcy were selected and included in this study. Treatment with Qingre Huoxue prescription was used as the exposure factor. According to whether Qingre Huoxue prescription was combined with MTX and FA，patients were assigned into an exposure group of 281 cases and a control group of 127 cases. Follow-ups were conducted every three months，with the primary outcome indicator being the achievement rate of target Hcy level. A generalized estimating equation model was adopted to analyze the dynamic changes in Hcy level under different medication regimens. Kaplan-Meier analysis was performed to evaluate the cumulative achievement rate of target Hcy level in the two groups，and Cox regression analysis was conducted to explore the predictive factors affecting the achievement rate of target Hcy level. Changes in erythrocyte sedimentation rate （ESR），C-reactive protein （CRP），28-joint disease activity score （DAS 28），and Health Assessment Questionnaire-Disability Index （HAQ-DI） scores before and after the first combined treatment with Qingre Huoxue prescription were compared between the two groups. ResultsThe Hcy level in the exposure group showed a gradual decreasing trend over time，while the decrease in Hcy level was not significant in the control group. At the 12-month follow-up，the achievement rate of target Hcy level in the exposure group （124/281，44.13%） was higher than that in the control group （23/127，18.11%，P<0.01）. Multivariable Cox regression analysis showed that treatment with Qingre Huoxue prescription ［hazard ratio（HR）=3.013，95% confidence interval （CI） 2.188-4.149， P<0.001］， absence of comorbidities （HR=2.035， 95%CI 1.352-3.061， P<0.001）， and baseline Hcy <15 μmol·L^-1 （HR=1.810， 95%CI 1.390-2.357， P<0.001） were significantly associated with an increased likelihood of achieving target Hcy levels within 6 months. In contrast， higher PGA scores were associated with a reduced likelihood of achieving target Hcy levels （HR=0.991， 95% CI 0.986-0.997， P=0.003）. After treatment，the exposure group demonstrated reductions in ESR，CRP，and DAS 28 scores （P<0.05） and had lower ESR，CRP and DAS 28 scores than the control group （P<0.05）. ConclusionEven after taking FA supplements，some RA patients undergoing MTX treatment still have high Hcy levels. When being used in conjunction with MTX and FA，Qingre Huoxue prescription can effectively lower the Hcy level and disease activity in RA patients with HHcy，outperforming Western treatment alone.

OBJECTIVE To construct and evaluate nomogram prediction model for refractory chemotherapy-induced nausea and vomiting （CINV）. METHODS The data of malignant tumor patients who received chemotherapy at the Third People’s Hospital of Zhengzhou from January 2017 to December 2023 were collected. These patients were categorized into the occurrence group and the non-occurrence group according to the occurrence of refractory CINV. Multivariate Logistic regression analysis was employed to screen predictive factors for refractory CINV and constructing a nomogram prediction model. Model performance was assessed via receiver operating characteristic curve analysis. Model calibration was evaluated using Bootstrap resampling. Decision curve analysis （DCA） was used to determine the clinical net benefit of three strategies under different risk thresholds. Clinical impact curves were utilized to assess the clinical value of the model at different risk thresholds. Shapley additive explanations （SHAP） analysis was performed to evaluate individual factor contributions to the predictive model. RESULTS A total of 388 patients were included， with 219 experiencing refractory CINV. Multivariate Logistic regression identified 11 predictive factors for refractory CINV， including gastrointestinal disease history， anticipated nausea and vomiting， chemotherapy-induced emetic risk classification， and electrolyte levels， etc. The model’s area under the curve was 0.80 [95% confidence interval （0.76， 0.84）]， with a mean error of 0.036. DCA demonstrated the prediction model had higher clinical net benefit when the risk threshold was between 0.05 and 0.85. SHAP analysis revealed the top three predictive factors as gastrointestinal disease history （0.924）， chemotherapy- induced emetic risk classification （0.866）， and electrolyte levels （0.581）. CONCLUSIONS Eleven factors， including gastrointestinal disease history， anticipated nausea and vomiting， chemotherapy-induced emetic risk classification， and electrolyte levels， are identified as predictors of refractory CINV. The model based on these factors has good predictive ability， which can be used to predict the risk of refractory CINV.

Triple-negative breast cancer (TNBC) is a highly aggressive malignancy predominantly managed via chemotherapy. Our clinical sample analysis revealed a significant correlation between elevated CD24 expression in TNBC tumor cells and patient survival rates. We developed a novel antibody-drug conjugate (ADC), named HN03, consisting of an antibody with engineered cysteines for site-specific conjugation with a low toxic nitric oxide (NO) precursor as its payload through a novel Pt(IV)-mediated bioorthogonal self-cleavable linker. HN03 specifically targets tumor cells expressing high levels of CD24, concurrently generating cisplatin and releasing NO upon activation. HN03 also exhibited potent in vitro and in vivo antitumor activity. It significantly reduced tumor growth at various doses, prevented tumor metastasis, with markedly lower toxicity than traditional chemotherapy agents. We found that a key mechanism of its action involved inducing apoptosis and endoplasmic reticulum stress, substantially decreasing the number of M2-type macrophages. Overall, HN03 stands out as a promising therapeutic option for TNBC, offering a targeted treatment with reduced side effects and the potential for improved outcomes. Furthermore, using Pt(IV) in the linker and an NO precursor as the payload enhances the versatility of the Antibody-NO donor Conjugate (ANC), offering new avenues for the design of the next generation of ADCs.

OBJECTIVES: To explore whether the antioxidant axis Nrf2/HO-1 is involved in the regulation of hippocampus injury induced by cypermethrin and its underlying mechanism. METHODS: Ten-week-old C57BL/6 mice were randomly divided into control group and cypermethrin exposure groups with low, medium, and high exposure levels. After 21 days of oral gavage of corn oil (control) or cypermethrin, the levels of MDA, T-SOD, GSH-Px and CAT in the hippocampus of the mice were examined to evaluate the oxidative stress levels. HE staining was used to observe morphological changes of the hippocampal neurons. Western blotting, immunofluorescence staining and RT-qPCR were employed to detect the protein expressions and mRNA expression of Nrf2 and HO-1 and HO-1. RESULTS: Subacute oral exposure to cypermethrin significantly increased MDA level, decreased the activities of antioxidant enzymes T-SOD, GSH-Px and CAT, and induced neuronal damage in the CA1 and CA3 regions in the hippocampus of C57BL/6 mice. Cypermethrin exposure also caused Nrf2 protein translocation from the cytoplasm to the nucleus, accompanied by upregulated expression levels of the key antioxidant factor Nrf2 and its downstream target kinase HO-1. CONCLUSIONS Cypermethrin exposure dose-dependently causes oxidative damage in the hippocampus of C57BL/6 mice, which is regulated by the Nrf2/HO-1 antioxidant pathway.
Animals ; Pyrethrins/toxicity* ; NF-E2-Related Factor 2/metabolism* ; Hippocampus/cytology* ; Mice, Inbred C57BL ; Mice ; Oxidative Stress/drug effects* ; Neurons/pathology* ; Heme Oxygenase-1/metabolism* ; Signal Transduction ; Membrane Proteins

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.