Objective To reveal the scientific output and trends in pulmonary nodules/early-stage lung cancer prediction models. Methods Publications on predictive models of pulmonary nodules/early lung cancer between January 1, 2002 and June 3, 2023 were retrieved and extracted from CNKI, Wanfang, VIP and Web of Science database. CiteSpace 6.1.R3 and VOSviewer 1.6.18 were used to analyze the hotspots and theme trends. Results A marked increase in the number of publications related to pulmonary nodules/early-stage lung cancer prediction models was observed. A total of 12581 authors from 2711 institutions in 64 countries/regions published 2139 documents in 566 academic journals in English. A total of 282 articles from 1256 authors were published in 176 journals in Chinese. The Chinese and English journals which published the most pulmonary nodules/early-stage lung cancer prediction model-related papers were Journal of Clinical Radiology and Frontiers in Oncology, respectively. Chest was the most frequently cited journal. China and the United States were the leading countries in the field of pulmonary nodules/early-stage lung cancer prediction models. The institutions represented by Fudan University had significant academic influence in the field. Analysis of keywords revealed that multi-omics, nomogram, machine learning and artificial intelligence were the current focus of research. Conclusion Over the last two decades, research on risk-prediction models for pulmonary nodules/early-stage lung cancer has attracted increasing attention. Prognosis, machine learning, artificial intelligence, nomogram, and multi-omics technologies are both current hotspots and future trends in this field. In the future, in-depth explorations using different omics should increase the sensitivity and accuracy of pulmonary nodules/early-stage lung cancer prediction models. More high-quality future studies should be conducted to validate the efficacy and safety of pulmonary nodules/early-stage lung cancer prediction models further and reduce the global burden of lung cancer.

Objective To investigate the combined effect of berberine （BBR） and fluconazole （FLC） on FLC-tolerant Candida albicans in vitro. Methods The sensitivity of 8 strains of Candida albicans to FLC was assessed by determining their minimal inhibitory concentration （MIC） using broth microdilution method. FLC-tolerant strains were screened from FLC-sensitive strains by disk diffusion assay. The effect of BBR combined with FLC on FLC-tolerant Candida albicans was investigated by disk diffusion assay. Results All eight strains of Candida albicans exhibited sensitivity to FLC, with minimal inhibitory concentration （MIC₅₀） values below 0.5 μg/ml. Strains Y0109, 9821, 7879, 7654, and 9296 displayed colony growth in the inhibition zone after 48 h of constant temperature incubation, indicating FLC tolerance. When strains Y0109 and 9821 were subjected to a combination of BBR and FLC, the number of colonies within the inhibition zone decreased progressively with the increase of BBR concentration following a 48 h constant temperature culture. The inhibition zone became clear with the increasing of BBR concentration and increased with the increase of FLC loading, which showed a dose-dependent relationship. Conclusion The BBR combined with FLC demonstrated efficacy against FLC-tolerant strains.

ObjectiveThe controllability changes of structural brain network were explored based on the control and brain network theory in young smokers, this may reveal that the controllability indicators can serve as a powerful factor to predict the sleep status in young smokers. MethodsFifty young smokers and 51 healthy controls from Inner Mongolia University of Science and Technology were enrolled. Diffusion tensor imaging (DTI) was used to construct structural brain network based on fractional anisotropy (FA) weight matrix. According to the control and brain network theory, the average controllability and the modal controllability were calculated. Two-sample t-test was used to compare the differences between the groups and Pearson correlation analysis to examine the correlation between significant average controllability and modal controllability with Fagerström Test of Nicotine Dependence (FTND) in young smokers. The nodes with the controllability score in the top 10% were selected as the super-controllers. Finally, we used BP neural network to predict the Pittsburgh Sleep Quality Index (PSQI) in young smokers. ResultsThe average controllability of dorsolateral superior frontal gyrus, supplementary motor area, lenticular nucleus putamen, and lenticular nucleus pallidum, and the modal controllability of orbital inferior frontal gyrus, supplementary motor area, gyrus rectus, and posterior cingulate gyrus in the young smokers’ group, were all significantly different from those of the healthy controls group (P<0.05). The average controllability of the right supplementary motor area (SMA.R) in the young smokers group was positively correlated with FTND (r=0.393 0, P=0.004 8), while modal controllability was negatively correlated with FTND (r=-0.330 1, P=0.019 2). ConclusionThe controllability of structural brain network in young smokers is abnormal. which may serve as an indicator to predict sleep condition. It may provide the imaging evidence for evaluating the cognitive function impairment in young smokers.

Mayer–Rokitansky–Küster–Hauser (MRKH) syndrome is a rare congenital disorder characterized by the absence or underdevelopment of the uterus and upper part of the vagina in females with a normal 46, XX karyotype. It affects approximately 1 in 4500–5000 female live births and ranks as the second-most common cause of primary amenorrhea. This case report describes a 28-year-old nulligravid woman who presented with primary amenorrhea, difficulties during sexual intercourse manifesting as pain and resistance, and an incidental finding of a right ovarian new growth. Physical examination revealed normal secondary sexual characteristics and a blind-ending vagina measuring 5 cm in depth. Transvaginal ultrasound confirmed the presence of a transverse vaginal septum with hematocolpos, an infantile uterus with endometrium and cervix, a right ovarian new growth, and a normal left ovary. Both kidneys appeared normal, and hormonal assays were within normal limits. Karyotype analysis confirmed a genotype of 46, XX, indicating a normal chromosomal complement for a female without any detectable structural or numerical chromosomal abnormalities, consistent with typical female development. She subsequently underwent ultrasound-guided excision of the transverse vaginal septum combined with laparoscopic oophorocystectomy. Intraoperatively, findings included a normal left ovary, a right ovarian new growth, absence of fallopian tubes, and an infantile uterus. Histological analysis confirmed a serous cystadenoma in the right ovary. Karyotype analysis confirmed a genotype of 46, XX. The index case was diagnosed with MRKH type II (atypical), characterized by the absence of fallopian tubes and a right ovarian new growth without associated renal, skeletal, or cardiac anomalies.

ObjectiveTo analyze the changes in the degree of coordination of China's major epidemic prevention and control efforts before and after the outbreak of the Corona Virus Disease 2019 (COVID-19), so as to explore the impact of epidemic prevention and control measures on coordination dynamics. MethodsA total of 3 864 policy documents related to epidemic prevention and control from January 2000 to December 2020 across 31 provinces (autonomous regions, and municipalities) in China were systematically collected. Contents specific to collaborative and cooperative efforts were extracted, and the extent of interdepartmental coordination were quantified to assess the effectiveness of epidemic prevention and control efforts. Wilcoxon signed-rank test was adopted to statistically analyze the differences between the indicators before and after the epidemic. ResultsThe average overall coordination level for major epidemic prevention and control in 31 provinces (autonomous regions, and municipalities) increased from 43.06% to 97.62%, and the average coordination levels in the eastern, central, and western China soared from 42.29%, 37.50%, and 47.46%, to 98.81%, 96.20%, and 97.46%, respectively, with statistically significant differences (all P<0.05). In terms of department categorization, coordination levels in the professional departments and the key support departments peaked at 100.00%, while other support departments rose to 95.43%, with an increase of 77.15%, 181.85%, and 139.89%, respectively, exhibiting noteworthy statistically significant differences (all P<0.001). ConclusionThe scope of coordination departments of China’s major epidemic prevention and control exists a remarkable surge following the COVID-19 outbreak, notable heightened coordination is particularly observed among the key support departments. Future endeavors should prioritize the roles played by diverse departments in epidemic prevention and control, enhancing both the clarity of departmental responsibilities and the effectiveness of interdepartmental coordination.

ObjectiveTo systematically evaluate the public health governance capacity of 40 cities in Jiangsu, Zhejiang, and Anhui Provinces, providing a scientific evaluation basis for building a "Healthy Yangtze River Delta". MethodsA comprehensive collection of policy documents, public information reports, and research literature related to public health governance capacity in Jiangsu, Zhejiang, and Anhui Provinces was conducted, totaling 6 920 policy documents, 1 720 information reports, and 1 200 literature pieces. Based on the evaluation standards for an appropriate public health system established by the research team, the basic status of public health governance capacity was assessed to identify the strengths and weaknesses of the 40 cities. ResultsIn 2022, the public health governance capacity score for the 40 cities in Jiangsu, Zhejiang, and Anhui Provinces was (562.5±38.0) points. In terms of specific areas, the emergency response field received the highest score of (791.4±49.7) points, while the chronic disease prevention and control field received the lowest score of (368.2±29.6) points. The Jiangsu-Zhejiang-Anhui region has largely achieved the strategic priority of health, gradually improved public health legal regulations, and established a basic organizational framework with a solid foundation for information and data infrastructure. However, challenges still need to be addressed, such as unstable government funding for public health, unclear departmental responsibilities, and barriers to information interoperability. ConclusionThe public health governance capacity of the 40 cities in Jiangsu, Zhejiang, and Anhui Province has been at a moderate level, but disparities have still existed across regions and fields. In the future, while continuing to deepen existing advantages, it is essential to accurately identify the causes of problems, establish a long-term and stable investment mechanism, enhance information connectivity mechanisms, further clarify departmental responsibilities, and promote the achievement of the "Healthy Yangtze River Delta" goal.

Spontaneous isolated superior mesenteric artery dissection (SISMAD) is a rare vascular condition where the superior mesenteric artery is affected by dissection without involving other arteries. Its incidence is estimated at 0.06% to 0.08% globally. Possible causes include trauma, congenital connective tissue disorders, arteriosclerosis, and vasculitis such as polyarteritis nodosa (PAN). SISMAD can manifest with various clinical presentations, from asymptomatic to acute bowel ischemia, warranting consideration when common causes of acute abdomen are ruled out.

This is a case of a 44-year-old female Filipino, who complained of abdominal pain, initially managed as intestinal amoebiasis. Abdominal examination showed a soft, non-tender abdomen with no guarding, making the symptoms disproportionate to physical examination. Due to persistence of symptoms despite full antibiotic course, further work up was done. Computed tomography (CT) scan of the whole abdomen with contrast revealed an isolated dissection of the proximal superior mesenteric artery (SMA) with thrombosis which was confirmed on CT angiography. C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), cytoplasmic antineutrophilic cytoplasmic antibodies (ANCA) and perinuclear ANCA were both negative; antinuclear antibody (ANA), C3 and C4 levels were also unremarkable. The diagnosis of PAN was established based on the correlation of clinical presentation, laboratory findings, and imaging results. She was given methylprednisolone pulse therapy and cyclophosphamide with good response. Anticoagulation with heparin was initiated to address the thrombosis. The patient had complete bowel rest, pain management, intravenous hydration, and parenteral nutrition. Resolution of symptoms noted and was eventually discharged improved.

SISMAD and PAN are independently rare conditions. This unique case involved both diseases in a 44-year-old Filipino female. Early diagnosis of the disease requires a high degree of suspicion and pattern recognition. This is crucial for timely treatment and improved prognosis. Furthermore, close surveillance is important to identify potential relapses even after symptom resolution.

BACKGROUND

Intraoperative transfusion for gynecologic surgery, when appropriately used, can improve patient outcomes. However, when utilized incorrectly, blood transfusion can worsen patient outcomes and increase patient cost. This study aimed to evaluate the blood transfusion practices of tertiary hospitals in the Philippines.

The study utilized a cross-sectional design wherein prospective data were gathered through multiple sources across seven tertiary-level hospitals. Women admitted to undergo gynecologic surgery were recruited based on a set of criteria. A chart review was conducted, and blood utilization indices were calculated. Outcomes were compared between public versus private facilities and transfused versus nontransfused patients.

Among 514 patients, 79.7% underwent cross-matching and 75.1% received transfusions. Adverse events were rare, with no transfusion-related deaths. The overall crossmatch-to-transfusion ratio (C/T ratio) was 2.8, exceeding the 2.5 optimal benchmark; all public hospitals recorded a C/T ratio >2.5, whereas private centers had more efficient usage. Six hospitals met acceptable benchmarks for transfusion probability and transfusion index. Open abdominal procedures, particularly hysterectomy, accounted for the most blood used. Transfused patients had longer operative times, greater blood loss, lower preoperative hemoglobin, and more frequently involved resident physicians in training. Public hospitals recorded higher cross-match and transfusion rates, greater resident physician participation, and broader use of general anesthesia.

Results of the study highlight the importance of monitoring blood transfusion parameters to optimize blood utilization. The observed differences between public and private institutions in the country highlight the urgent need for standardized and evidence-based practice to ensure efficient transfusion protocols nationwide.

Optical imaging is highly valued for its superior temporal and spatial resolution. This is particularly important in near-infrared II (NIR-II, 1 000-3 000 nm) imaging, which offers advantages such as reduced tissue absorption, minimal scattering, and low autofluorescence. These characteristics make NIR-II imaging especially suitable for deep tissue visualization, where high contrast and minimal background interference are critical for accurate diagnosis and monitoring. Currently, inorganic fluorescent probes—such as carbon nanotubes, rare earth nanoparticles, and quantum dots—offer high brightness and stability. However, they are hindered by ambiguous structures, larger sizes, and potential accumulation toxicity in vivo. In contrast, organic fluorescent probes, including small molecules and polymers, demonstrate higher biocompatibility but are limited by shorter emission wavelengths, lower quantum yields, and reduced stability. Recently, gold clusters have emerged as a promising class of nanomaterials with potential applications in biocatalysis, fluorescence sensing, biological imaging, and more. Water-soluble gold clusters are particularly attractive as fluorescent probes due to their remarkable optical properties, including strong photoluminescence, large Stokes shifts, and excellent photostability. Furthermore, their outstanding biocompatibility—attributed to good aqueous stability, ultra-small hydrodynamic size, and high renal clearance efficiency—makes them especially suitable for biomedical applications. Gold clusters hold significant potential for NIR-II fluorescence imaging. Atomic-precision gold clusters, typically composed of tens to hundreds of gold atoms and measuring only a few nanometers in diameter, possess well-defined three-dimensional structures and clear spatial coordination. This atomic-level precision enables fine-tuned structural regulation, further enhancing their fluorescence properties. Variations in cluster size, surface ligands, and alloying elements can result in distinct physicochemical characteristics. The incorporation of different atoms can modulate the atomic and electronic structures of gold clusters, while diverse ligands can influence surface polarity and steric hindrance. As such, strategies like alloying and ligand engineering are effective in enhancing both fluorescence and catalytic performance, thereby meeting a broader range of clinical needs. In recent years, gold clusters have attracted growing attention in the biomedical field. Their application in NIR-II imaging has led to significant progress in vascular, organ, and tumor imaging. The resulting high-resolution, high signal-to-noise imaging provides powerful tools for clinical diagnostics. Moreover, biologically active gold clusters can aid in drug delivery and disease diagnosis and treatment, offering new opportunities for clinical therapeutics. Despite the notable achievements in fundamental research and clinical translation, further studies are required to address challenges related to the standardized synthesis and complex metabolic behavior of gold clusters. Resolving these issues will help accelerate their clinical adoption and broaden their biomedical applications.

ObjectiveTobacco-related diseases remain one of the leading preventable public health challenges worldwide and are among the primary causes of premature death. In recent years, accumulating evidence has supported the classification of nicotine addiction as a chronic brain disease, profoundly affecting both brain structure and function. Despite the urgency, effective diagnostic methods for smoking addiction remain lacking, posing significant challenges for early intervention and treatment. To address this issue and gain deeper insights into the neural mechanisms underlying nicotine dependence, this study proposes a novel graph neural network framework, termed TI-GNN. This model leverages functional magnetic resonance imaging (fMRI) data to identify complex and subtle abnormalities in brain connectivity patterns associated with smoking addiction. MethodsThe study utilizes fMRI data to construct functional connectivity matrices that represent interaction patterns among brain regions. These matrices are interpreted as graphs, where brain regions are nodes and the strength of functional connectivity between them serves as edges. The proposed TI-GNN model integrates a Transformer module to effectively capture global interactions across the entire brain network, enabling a comprehensive understanding of high-level connectivity patterns. Additionally, a spatial attention mechanism is employed to selectively focus on informative inter-regional connections while filtering out irrelevant or noisy features. This design enhances the model’s ability to learn meaningful neural representations crucial for classification tasks. A key innovation of TI-GNN lies in its built-in causal interpretation module, which aims to infer directional and potentially causal relationships among brain regions. This not only improves predictive performance but also enhances model interpretability—an essential attribute for clinical applications. The identification of causal links provides valuable insights into the neuropathological basis of addiction and contributes to the development of biologically plausible and trustworthy diagnostic tools. ResultsExperimental results demonstrate that the TI-GNN model achieves superior classification performance on the smoking addiction dataset, outperforming several state-of-the-art baseline models. Specifically, TI-GNN attains an accuracy of 0.91, an F1-score of 0.91, and a Matthews correlation coefficient (MCC) of 0.83, indicating strong robustness and reliability. Beyond performance metrics, TI-GNN identifies critical abnormal connectivity patterns in several brain regions implicated in addiction. Notably, it highlights dysregulations in the amygdala and the anterior cingulate cortex, consistent with prior clinical and neuroimaging findings. These regions are well known for their roles in emotional regulation, reward processing, and impulse control—functions that are frequently disrupted in nicotine dependence. ConclusionThe TI-GNN framework offers a powerful and interpretable tool for the objective diagnosis of smoking addiction. By integrating advanced graph learning techniques with causal inference capabilities, the model not only achieves high diagnostic accuracy but also elucidates the neurobiological underpinnings of addiction. The identification of specific abnormal brain networks and their causal interactions deepens our understanding of addiction pathophysiology and lays the groundwork for developing targeted intervention strategies and personalized treatment approaches in the future.