1.Clinical observation of radiofrequency minimally invasive treatment for conjunctivochalasis-induced epiphora
Xuan ZHENG ; Xiaozhao YANG ; Hua YANG ; Yi ZHANG ; Bo WANG
International Eye Science 2026;26(3):528-533
AIM: To evaluate the surgical outcomes and changes in the ocular surface microenvironment following radiofrequency minimally invasive treatment for conjunctivochalasis-induced epiphora.METHODS: Patients with epiphora primarily caused by conjunctivochalasis were enrolled. All patients had conjunctivochalasis of ≥grade II, and their symptoms showed no significant improvement after previous pharmacological treatment. All patients underwent radiofrequency minimally invasive correction of conjunctivochalasis, supplemented with artificial tears, anti-inflammatory therapy, and ocular surface repair treatment postoperatively. At 8 wk post-surgery, the ocular surface disease index(OSDI), eye redness, tear secretion, non-invasive tear break-up time, lipid layer thickness, tear ferning test, and conjunctival impression cytology were assessed to compare treatment efficacy and observe changes in the ocular surface microenvironment.RESULTS: A total of 43 cases(43 eyes)of conjunctivochalasis and with a main complaint of epiphora were included, including 23 males and 20 males, with a mean age of 64.69±3.36 years. The total effective rate of surgery was 91% at 8 wk postoperatively. Compared with preoperative values, the OSDI scores significantly decreased and the non-invasive tear break-up time was prolonged at 8 wk post-surgery(all P<0.05). No statistically significant differences were observed in lipid layer thickness or tear secretion at 8 wk postoperatively(all P>0.05). The normal rate of chloramphenicol taste test increased from 21% preoperatively to 63% postoperatively; the normal rate of eye redness increased from 40% to 70%; normal rate of tear ferning grading improved from 30% to 63%; and normal conjunctival impression cytology grading increased from 21% to 74%.CONCLUSION: Radiofrequency minimally invasive treatment is effective for conjunctivochalasis and is straightforward to perform. Patients with conjunctivochalasis often present with other ocular surface issues beyond conjunctivochalasis itself, such as insufficient tear secretion, reduced lipid layer thickness, and other dry eye-related problems. Therefore, a comprehensive approach emphasizing tear dynamics should be adopted during treatment.
2.Analysis of soil-borne nematode infection status among rural communities in Yubei, Chongqing
Dan JIANG ; Yong-dong HAO ; Sen-ping YANG ; Xiao-yuan SU ; Hua-jun BAI ; Bo LYU ; Ya-ling RAN ; He-yi GUAN ; Ling HU
Acta Parasitologica et Medica Entomologica Sinica 2026;33(2):85-89
Objective To analyze the infection status and epidemic trends of soil-borne nematode infections in Yubei, Chongqing City, in 2010,2021, and 2022. Methods The local populations from four survey sites of four towns in 2010 and five sites of five towns in 2021 and 2022 were surveyed regarding their basic information using a unified form. Fecal samples of the participants were collected and tested for soil-borne nematode infections using the modified Kato-Katz thick smear method. Results In 2010, 2 049 participants were surveyed, followed by 1 000 participants in 2021 and 2022. The overall prevalence of parasitic infections declined significantly from 3.86% to 0.20%. In 2010, soil-transmitted nematode included hookworms(3.81%) and roundworms(0.29%). In 2021, the infection rates of roundworms and hookworms were 1.70% and 0.10% respectively. Notably, only Ascaris was identified in 2022(0.20%). The≥60 age group consistently exhibited the highest infection rates across all surveys, followed by the 40-59 age group. The infection rates of males in the three surveys were 3.31%,1.92%, and 0.20% respectively, and those of females were 4.37%, 1.46%, and 0.20% respectively. There was no statistically significant difference in the infection rates between males and females. Educational attainment was inversely associated with infection; in 2010, the highest prevalence was observed among those with primary education or below, whereas in 2021, illiterate or semi-literate individuals showed the highest susceptibility. The occupational distribution of infections in 2010 indicated that retirees (8.33%), farmers(4.86%), and homemakers or unemployed individuals(3.45%)were the most affected. However, in 2021 and 2022, farmers emerged as the predominant occupational group with soil-transmitted nematode infections. Conclusions The infection rate of soil-borne nematodes showed a decreasing trend in Yubei, and the infection species changed from hookworms in 2010 to Ascaris in 2022. Farmers, the elderly, and people with low education levels should continue to be the focus of preventive and control efforts.
3.Comparison of Logistic Regression and Machine Learning Approaches in Predicting Depressive Symptoms: A National-Based Study
Xing-Xuan DONG ; Jian-Hua LIU ; Tian-Yang ZHANG ; Chen-Wei PAN ; Chun-Hua ZHAO ; Yi-Bo WU ; Dan-Dan CHEN
Psychiatry Investigation 2025;22(3):267-278
Objective:
Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic.
Methods:
Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC).
Results:
LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models.
Conclusion
Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.
4.Caregiver Presence Needs and Their Influencing Factors Among Hospitalized Elderly Non-Surgical Patients.
Ran GUO ; Zi-Rong LI ; Ling-Yan ZUO ; Jian-Hua SUN ; Long-Fei YANG ; Hai-Xin BO
Acta Academiae Medicinae Sinicae 2025;47(3):396-401
Objective To analyze the caregiver presence needs and their influencing factors among hospitalized elderly non-surgical patients and provide a basis for formulating relevant policies.Methods A descriptive qualitative study method was adopted.Through purposive sampling,semi-structured interviews were conducted on elderly non-surgical patients and their families and medical staff in Peking Union Medical College Hospital from September to October 2023.MAXQDA 2020 and the 7-step phenomenological analysis method of Colaizzi were used to classify and code the interview contents and identify themes.Results The categories of caregiver presence needs of elderly non-surgical patients included basic living assistance needs,disease monitoring needs,psychological support needs,as well as the needs for family members to provide economic support and participate in treatment decision-making.The influencing factors included advanced age,frailty,the lack of self-care ability in patients with comorbidities,the susceptibility of patients to sudden situations during the disease exacerbation period,the increased risk of unexpected events in patients with psychological distress,and patients' concerns about social support and medical decision-making.Conclusion The caregiver presence needs of elderly non-surgical patients during hospitalization are high and influenced by multiple factors.
Humans
;
Caregivers/psychology*
;
Aged
;
Hospitalization
;
Social Support
;
Male
;
Qualitative Research
;
Female
5.Research Progress of Photoacoustic Imaging in the Precision Diagnosis and Treatment of Thyroid Carcinoma.
Jiao-Jiao MA ; Xue-Hua XI ; Yang DU ; Bo ZHANG
Acta Academiae Medicinae Sinicae 2025;47(3):447-451
The incidence of thyroid cancer keeps rising globally,with the majority being papillary thyroid carcinoma (PTC),which has a favorable prognosis.However,some aggressive PTCs exhibit different clinical behaviors and higher mortality risks,with the growth rate surpassing that of well-differentiated PTC and undifferentiated cancers.Therefore,achieving precise diagnosis and treatment of thyroid carcinoma presents a significant challenge.Photoacoustic imaging is a molecular imaging technology that integrates optical imaging and ultrasound,providing imaging information on structure,function,and molecules.Moreover,it can utilize exogenous contrast agents to realize tumor treatment,such as photothermal therapy,serving as a promising technology for precise diagnosis and treatment of thyroid carcinoma.Researchers both domestically and internationally have explored the application of photoacoustic imaging in the precise diagnosis and treatment of thyroid tumors.This article reviews the research progress,elucidates the advantages and limitations of photoacoustic imaging in the diagnosis and treatment of thyroid carcinoma,and prospects on the precise diagnosis and treatment of this disease.
Humans
;
Thyroid Neoplasms/diagnostic imaging*
;
Photoacoustic Techniques/methods*
;
Precision Medicine
6.Effect of Acupuncture on Clinical Symptoms of Patients with Intractable Facial Paralysis: A Multicentre, Randomized, Controlled Trial.
Hong-Yu XIE ; Ze-Hua WANG ; Wen-Jing KAN ; Ai-Hong YUAN ; Jun YANG ; Min YE ; Jie SHI ; Zhen LIU ; Hong-Mei TONG ; Bi-Xiang CHA ; Bo LI ; Xu-Wen YUAN ; Chao ZHOU ; Xiao-Jun LIU
Chinese journal of integrative medicine 2025;31(9):773-781
OBJECTIVE:
To evaluate the clinical effect and safety of acupuncture manipulation on treatment of intractable facial paralysis (IFP), and verify the practicality and precision of the Anzhong Facial Paralysis Precision Scale (Eyelid Closure Grading Scale, AFPPS-ECGS).
METHODS:
A multicentre, single-blind, randomized controlled trial was conducted from October 2022 to June 2024. Eighty-nine IFP participants were randomly assigned to an ordinary acupuncture group (OAG, 45 cases) and a characteristic acupuncture group (CAG, 44 cases) using a random number table method. The main acupoints selected included Yangbai (GB 14), Quanliao (SI 18), Yingxiang (LI 20), Shuigou (GV 26), Dicang (ST 4), Chengjiang (CV 24), Taiyang (EX-HN 5), Jiache (ST 6), Fengchi (GB 20), and Hegu (LI 4). The OAG patients received ordinary acupuncture manipulation, while the CAG received characteristic acupuncture manipulation. Both groups received acupuncture treatment 3 times a week, with 10 times per course, lasting for 10 weeks. Facial recovery was assessed at baseline and after the 1st, 2nd and 3rd treatment course by AFPPS-ECGS and the House-Brackmann (H-B) Grading Scale. Infrared thermography technology was used to observe the temperature difference between healthy and affected sides in various facial regions. Adverse events and laboratory test abnormalities were recorded. The correlation between the scores of the two scales was analyzed using Pearson correlation coefficient.
RESULTS:
After the 2nd treatment course, the two groups showed statistically significant differences in AFPPS-ECGS scores (P<0.05), with even greater significance after the 3rd course (P<0.01). Similarly, H-B Grading Scale scores demonstrated significant differences between groups following the 3rd treatment course (P<0.05). Regarding temperature measurements, significant differences in temperatures of frontal and ocular areas were observed after the 2nd course (P<0.05), becoming more pronounced after the 3rd course (P<0.01). Additionally, mouth corner temperature differences reached statistical significance by the 3rd course (P<0.05). No safety-related incidents were observed during the study. Correlation analysis revealed that the AFPPS-ECGS and the H-B Grading Scale were strongly correlated (r=0.86, 0.91, 0.93, and 0.91 at baseline, and after 1st, 2nd, and 3rd treatment course, respectively, all P<0.01).
CONCLUSIONS
Acupuncture is an effective treatment for IFP, and the characteristic acupuncture manipulation enhances the therapeutic effect. The use of the AFPPS-ECGS can more accurately reflect the recovery status of patients with IFP. (Trial registration No. ChiCTR2200065442).
Humans
;
Acupuncture Therapy/methods*
;
Facial Paralysis/therapy*
;
Female
;
Male
;
Middle Aged
;
Adult
;
Treatment Outcome
;
Acupuncture Points
;
Aged
8.W 18O 49 Crystal and ICG Labeled Macrophage: An Efficient Targeting Vector for Fluorescence Imaging-guided Photothermal Therapy.
Yang BAI ; Guo Qing FENG ; Muskan Saif KHAN ; Qing Bin YANG ; Ting Ting HUA ; Hao Lin GUO ; Yuan LIU ; Bo Wen LI ; Yi Wen WU ; Bin ZHENG ; Nian Song QIAN ; Qing YUAN
Biomedical and Environmental Sciences 2025;38(1):100-105
9.Laboratory Diagnosis and Molecular Epidemiological Characterization of the First Imported Case of Lassa Fever in China.
Yu Liang FENG ; Wei LI ; Ming Feng JIANG ; Hong Rong ZHONG ; Wei WU ; Lyu Bo TIAN ; Guo CHEN ; Zhen Hua CHEN ; Can LUO ; Rong Mei YUAN ; Xing Yu ZHOU ; Jian Dong LI ; Xiao Rong YANG ; Ming PAN
Biomedical and Environmental Sciences 2025;38(3):279-289
OBJECTIVE:
This study reports the first imported case of Lassa fever (LF) in China. Laboratory detection and molecular epidemiological analysis of the Lassa virus (LASV) from this case offer valuable insights for the prevention and control of LF.
METHODS:
Samples of cerebrospinal fluid (CSF), blood, urine, saliva, and environmental materials were collected from the patient and their close contacts for LASV nucleotide detection. Whole-genome sequencing was performed on positive samples to analyze the genetic characteristics of the virus.
RESULTS:
LASV was detected in the patient's CSF, blood, and urine, while all samples from close contacts and the environment tested negative. The virus belongs to the lineage IV strain and shares the highest homology with strains from Sierra Leone. The variability in the glycoprotein complex (GPC) among different strains ranged from 3.9% to 15.1%, higher than previously reported for the seven known lineages. Amino acid mutation analysis revealed multiple mutations within the GPC immunogenic epitopes, increasing strain diversity and potentially impacting immune response.
CONCLUSION
The case was confirmed through nucleotide detection, with no evidence of secondary transmission or viral spread. The LASV strain identified belongs to lineage IV, with broader GPC variability than previously reported. Mutations in the immune-related sites of GPC may affect immune responses, necessitating heightened vigilance regarding the virus.
Humans
;
China/epidemiology*
;
Genome, Viral
;
Lassa Fever/virology*
;
Lassa virus/classification*
;
Molecular Epidemiology
;
Phylogeny
10.Comparison of Logistic Regression and Machine Learning Approaches in Predicting Depressive Symptoms: A National-Based Study
Xing-Xuan DONG ; Jian-Hua LIU ; Tian-Yang ZHANG ; Chen-Wei PAN ; Chun-Hua ZHAO ; Yi-Bo WU ; Dan-Dan CHEN
Psychiatry Investigation 2025;22(3):267-278
Objective:
Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic.
Methods:
Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC).
Results:
LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models.
Conclusion
Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.


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