Objective: To assess the dynamic changes of microcirculation at acupoints in patients with primary dysmenorrhea and cold congelation and blood stasis syndrome using laser speckle blood flow imaging. Methods: Patients with primary dysmenorrhea and cold coagulation and blood stasis syndrome (primary dysmenorrhea group, n=53) and healthy female college students(control group, n=57) who met the inclusion and exclusion criteria from October 2020 to July 2022 were enrolled at Hebei University of Chinese Medicine. On the premenstrual and first day of menstruation, a laser speckle blood flow imaging system was used to measure the microcirculation blood flow perfusion on the surface of acupoints related to the conception, thoroughfare, and governor vessels, and stomach, spleen, and bladder meridians in the abdomen and lumbosacral regions. The dynamic changes in microcirculation were calculated based on the difference in average blood flow perfusion at each acupoint before and after menstruation. Receiver operating curve (ROC) analysis was used to analyze the diagnostic efficacy of dynamic changes in microcirculation on the surface of each acupoint. The microcirculation sensitization rate of acupoints was calculated. Results: Compared with the control group, the dynamic changes in microcirculation at the following acupoints in the primary dysmenorrhea group were increased (P<0.05): conception vessel (Yinjiao[CV7], Qihai[CV6], Shimen[CV5], Guanyuan[CV4]); left thoroughfare vessel (left Huangshu[KI16], left Zhongzhu[KI15], left Siman[KI14], left Qixue[KI13], left Dahe[KI12], left Henggu[KI11]); left stomach meridian (left Tianshu[ST25], left Wailing[ST26], left Qichong[ST30]); left spleen meridian (left Daheng[SP15], left Fujie[SP14]); right thoroughfare vessel (right Huangshu[KI16], right Zhongzhu[KI15], right Siman[KI14], right Qixue[KI13], right Dahe[KI12], right Henggu[KI11]); right stomach meridian (right Wailing[ST26], right Daju[ST27], right Shuidao[ST28], right Guilai[ST29], right Qichong[ST30]); and right spleen meridian (right Fujie[SP14]). The area under the ROC curve of conception vessel (Yinjiao[CV7], Qihai[CV6], Shimen[CV5], Guanyuan[CV4]), thoroughfare vessel (right Siman[KI14], left Huangshu[KI16], right Qixue[KI13], right Zhongzhu[KI15], right Dahe[KI12], left Zhongzhu[KI15], left Siman[KI14], right Huangshu[KI16], left Qixue[KI13], right Henggu[KI11], left Henggu[KI11], left Dahe[KI12]); stomach meridian (left Tianshu[ST25], right Guilai[ST29], left Wailing[ST26], right Shuidao[ST28], right Daju[ST27], right Wailing[ST26], right Qichong[ST30], left Qichong[ST30]), and spleen meridian (left Daheng[SP15], left Fujie[SP14], right Fujie[SP14]) was 0.610-0.682 (P<0.05). Compared with the control group, the sensitization rate of some acupoints in the primary dysmenorrhea group increased (P<0.05). Conclusion With the onset of menstruation, the blood flow perfusion of some acupoints in the abdomen (thoroughfare, and conception vessels, and stomach and spleen meridians) of patients with primary dysmenorrhea and cold blood coagulation and blood stasis syndrome increased, and the status of acupoints changed from a resting state to an active state. These acupoints are sensitive in patients with primary dysmenorrhea and cold blood coagulation and blood stasis syndrome and have a certain diagnostic efficacy, providing a basis for further analyzing the efficacy and mechanism of acupuncture and moxibustion to treat primary dysmenorrhea with cold blood coagulation and blood stasis syndrome.

To reduce the dependency on high-carbon-load chromatographic columns,a new method has been established for the determination of the content of docusate sodium using ion-pair high-performance liquid chromatography (IP-HPLC). Tetrapropylammonium chloride was used as the ion-pair reagent with a mobile phase, composition of acetonitrile:10 mmol/L tetrapropylammonium chloride solution = 66∶34, adjusting pH to 6.5 with 0.1% phosphoric acid solution,flow rate of 1.5 mL/min, detection wavelength of 214 nm,column temperature of 35 °C, and an injection volume of 25 μL,and quantified by an external standard method. The main peak of docusate sodium exhibited a tailing factor of 1.34. The method showed good linearity within the range of 0.02 mg/mL to 0.40 mg/mL, with a correlation coefficient (r) of 0.999 9. It also demonstrated good repeatability, with recovery ranging from 97.0% to 98.2% (n=6). The quantification limit was 3.31 μg/mL, and the detection limit was 2.76 μg/mL.In summary,the new method shows good durability, a wide linear range, and high sensitivity, it is suitable for the determination of docusate sodium.

AIM:To investigate the influencing factors of dry eye in elderly people aged over 60 years, and to construct a risk nomogram prediction model, so as to provide a reference for the identification of high-risk individuals and the development of preventive strategies.METHODS:A convenience sampling method was used to select 301 people aged over 60 years who attended the ophthalmology outpatient clinic or were hospitalized at the Second Affiliated Hospital of Guangzhou Medical University between July 2023 and December 2023. They were divided into a dry eye group(n=173)and a non-dry eye group(n=128)based on the presence or absence of dry eye. Data from the two groups were compared and a risk prediction model was constructed.RESULTS:Gender, hypertension, meibomian gland dysfunction, frequent use of eye drops, frequent use of electronic products, and frequent exposure to dry environments were significant influencing factors for the occurrence of dry eye in people aged over 60 years(all P<0.05). The nomogram prediction model demonstrated excellent discrimination(AUC=0.86, 95% CI: 0.81-0.90). The calibration curve showed good fit with the ideal curve, indicating high predictive accuracy. The Hosmer-Lemeshow test yielded a P-value of 0.424. The sensitivity was 73% and the specificity was 86%.CONCLUSION:The nomogram predictive model for the risk of dry eye in elderly people aged over 60 years constructed in this study showed good discrimination and calibration. It can serve as an intuitive and effective clinical risk assessment tool, providing a basis for the early identification of high-risk populations and the development of individualized intervention strategies.

OBJECTIVE: To observe the effects of Huayu Tongluo (transforming stasis and unblocking collaterals) moxibustion on learning-memory ability and hippocampal mammalian sterile 20-like kinase 1 (Mst1)/nuclear factor κB (NF-κB) p65 pathway related to inflammatory response in rats with vascular dementia (VD). METHODS: A total of 60 male Wistar rats of SPF grade were randomly divided into a sham operation group (12 rats) and a modeling group (48 rats). VD model was established by the method of modified bilateral common carotid artery permanent ligation in the modeling group. Thirty-six rats with successful modeling were randomly divided into a model group, a moxibustion group and a western medication group, with 12 rats in each group. Huayu Tongluo moxibustion was applied at "Dazhui" (GV14), "Baihui" (GV20) and "Shenting" (GV24) in the moxibustion group, 20 min each time, once a day, 7 day-intervention was as one course, and 1 day-interval was taken between two courses, for a total of 3 courses. In the western medication group, piracetam was given 0.72 mg/kg by intragastric administration, twice a day, the course of intervention was same as that of the moxibustion group. The learning-memory ability was detected by Morris water maze test; the morphology of hippocampal CA1 region was observed by HE staining; the mRNA expression of Mst1, M1 microglia markers CD86, interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α) was detected by real-time PCR; the levels of IL-6 and TNF-α in hippocampus were detected by ELISA; and the protein expression of Mst1 and NF-κB p65 in hippocampus was detected by Western blot in rats of each group. RESULTS: Compared with the sham operation group, the escape latency was prolonged in the model group (P<0.05); compared with the model group, the escape latency was shortened in the moxibustion group and the western medication group (P<0.05). The cells in the CA1 region of hippocampus were disordered, cell collapse and irregular nuclei could be observed in the model group; compared with the model group, the cell arrangement in the CA1 region of hippocampus was more regular, and the damage was improved in the moxibustion group and the western medication group. Compared with the sham operation group, the mRNA expression of Mst1, CD86, IL-6 and TNF-α, as well as the protein expression of Mst1, NF-κB p65 in hippocampus were increased in the model group (P<0.05). Compared with the model group, the mRNA expression of Mst1, CD86, IL-6 and TNF-α, as well as the protein expression of Mst1, NF-κB p65 in hippocampus were decreased in the moxibustion group and the western medication group (P<0.05). Compared with the sham operation group, the levels of IL-6 and TNF-α in hippocampus were increased in the model group (P<0.05). Compared with the model group, the levels of IL-6 and TNF-α in hippocampus were decreased in the moxibustion group and the western medication group (P<0.05). CONCLUSION Huayu Tongluo moxibustion can improve the learning-memory ability of VD rats, the mechanism may be related to regulating the activation of microglia through Mst1/NF-κB p65 pathway, reducing the release of pro-inflammatory factors i.e. IL-6 and TNF-α, so as to alleviating the damage of inflammatory factors in the hippocampus of VD rats.
Animals ; Male ; Rats ; Moxibustion ; Hippocampus/metabolism* ; Rats, Wistar ; Dementia, Vascular/genetics* ; Memory/drug effects* ; Humans ; Transcription Factor RelA/genetics* ; Learning ; Protein Serine-Threonine Kinases/genetics* ; Acupuncture Points ; Interleukin-6/genetics* ; Signal Transduction/drug effects* ; Drugs, Chinese Herbal

In order to characterize the characteristics of pathological tremor of human upper limb, a simulation system of pathological tremor of human arm was provided and its dynamic response was analyzed. Firstly, in this study, a two-degree-of-freedom human arm dynamic model was established and linearized according to the arbitrary initial angle of joints. After solving the analytical solutions of steady-state responses of the joints, the numerical solution was used to verify it. The results of theoretical analysis show that the two natural frequencies of the developed dynamic model are 2.9 Hz and 5.4 Hz, respectively, which meet the characteristic frequency range of pathological tremors. Then, combined with the measured parameters of human arm, a tremor simulation system was built, and the measured results of joint responses are in good agreement with the theoretical and simulation analysis results, which verifies the effectiveness of the theoretical model. The results show that the human arm pathological tremor simulation system designed in this paper can characterize the frequency and response amplitude of the human upper limb pathological tremor. Moreover, the relevant research lays a theoretical foundation and experimental conditions for the subsequent development of wearable tremor suppression devices.
Humans ; Tremor/physiopathology* ; Computer Simulation ; Arm/physiopathology* ; Joints/physiopathology* ; Biomechanical Phenomena ; Upper Extremity/physiopathology* ; Models, Biological

Objective Based on 25 indicators including immune factors, cell count classification, and smear results of the knee joint fluid, machine learning models were established to distinguish between osteoarthritis (OA) and rheumatoid arthritis (RA). Methods 100 OA and 40 RA patients scheduled for total knee arthroplasty were enrolled respectively. Each patient's knee joint fluid was collected preoperatively. Nucleated cells were counted and classified. The expression levels of immune factors, including tumor necrosis factor alpha (TNF-α), interleukin-1 beta (IL-1β), IL-6, IL-8, IL-15, matrix metalloproteinase 3 (MMP3), MMP9, MMP13, rheumatoid factor (RF), serum amyloid A (SAA), C-reactive protein (CRP), and others were measured. Smears and microscopic classification of all the immune factors were performed. Independent influencing factors for OA or RA were identified using univariate binary logistic regression, Lasso regression, and multivariate binary logistic regression. Based on the independent influencing factors, three machine learning models were constructed which are logistic regression, random forest, and support vector machine. Receiver operating characteristic curve (ROC), calibration curve and decision curve analysis (DCA) were used to evaluate and compare the models. Results A total of 5 indicators in the knee joint fluid were screened out to distinguish OA and RA, which were IL-1β(odds ratio(OR)=10.512, 95× confidence interval (95×CI) was 1.048-105.42, P=0.045), IL-6 (OR=1.007, 95×CI was 1.001-1.014, P=0.022), MMP9 (OR=3.202, 95×CI was 1.235-8.305, P=0.017), MMP13 (OR=1.002, 95× CI was 1-1.004, P=0.049), and RF (OR=1.091, 95×CI was 1.01-1.179, P=0.026). According to the results of ROC, calibration curve and DCA, the accuracy (0.979), sensitivity (0.98) and area under the curve (AUC, 0.996, 95×CI was 0.991-1) of the random forest model were the highest. It has good validity and feasibility, and its distinguishing ability is better than the other two models. Conclusion The machine learning model based on immune factors in the knee joint fluid holds significant value in distinguishing OA and RA. It provides an important reference for the clinical early differential diagnosis, prevention and treatment of OA and RA.
Humans ; Arthritis, Rheumatoid/metabolism* ; Machine Learning ; Male ; Female ; Middle Aged ; Aged ; Synovial Fluid/immunology* ; Osteoarthritis, Knee/metabolism* ; Knee Joint/metabolism* ; ROC Curve ; Diagnosis, Differential

BACKGROUND: The incidence and mortality rates of lung cancer remain on the rise, creating an urgent need for screening among high-risk populations and early prevention. This study aims to explore the association and interaction between multidimensional lifestyle, socioeconomic status, and the incidence of lung cancer, and to provide scientific evidence for screening high-risk populations and preventing lung cancer. METHODS: Healthy lifestyle score was constructed using information on smoking, alcohol consumption, exercise, diet and sleep obtained through a questionnaire survey. Socioeconomic status was evaluated based on information on education, employment, and family income, and genetic testing data were used to assess the risk of genetic variation. A proportional hazards assumption test was conducted, and the Cox proportional hazards model was applied to analyze the associations between healthy lifestyle scores, socioeconomic status, and lung cancer, as well as the interactions among various factors, after adjusting for the risk of genetic variation, age, gender, diabetes, hypertension and the living environment score. RESULTS: A total of 245,538 samples that entered the cohort from March, 2006 to October, 2010 were included and followed up until December 31, 2022. The participants were divided into the case group (n=1472) and the control group (n=244,066). The analysis results showed that after adjusting for covariates, there was still an association between the healthy lifestyle score, socioeconomic status, and the incidence of lung cancer: compared with participants with a high healthy lifestyle score, the risk of lung cancer in participants with medium and low healthy lifestyle scores was significantly increased, with hazard ratios (HR) of 2.12 (95%CI: 1.86-2.41) and 3.36 (95%CI: 2.82-3.99) respectively; compared with participants with high socioeconomic status, the risk of lung cancer in participants with medium and low socioeconomic status was significantly increased, with HR of 1.29 (95%CI: 1.13-1.48) and 1.67 (95%CI: 1.46-1.90) respectively. Moreover, there were interactions between smoking status and socioeconomic status (Pfor interaction=0.05), as well as the other four lifestyle factors (Pfor interaction=0.02). CONCLUSIONS This study identified the association between multidimensional lifestyle factors and socioeconomic status with the incidence of lung cancer, as well as interactions between smoking and socioeconomic status and four other lifestyle factors, providing a scientific basis for screening and prevention in high-risk populations for lung cancer.
Humans ; Lung Neoplasms/epidemiology* ; Male ; Female ; Middle Aged ; Incidence ; Life Style ; Social Class ; Aged ; Adult ; Risk Factors

To address the problem of large reconstruction errors in 3D pulse signals caused by excessively small out-of-plane displacement of the contact membrane in the existing traditional Chinese medicine fingertip tactile binocular vision detection technology, this study proposes a 3D pulse image detection method based on subtle motion magnification technology and explores its application in pulse pattern recognition. Firstly, a 3D pulse image detection system based on binocular vision to obtain pulse image signals is developed as experimental data. Then, the phase motion video magnification algorithm is used to amplify the original signals, and the amplified signals are reconstructed in three dimensions to obtain 3D pulse signals. On this basis, nine features are extracted from the 3D pulse signals and features selection is performed using a two-sample Kolmogorov-Smirnov test. Finally, machine learning algorithms such as decision trees and random forests are used to identify the five types of pulse conditions: deep pulse, intermittent pulse, flooding pulse, slippery pulse, and rapid pulse. The experimental results show that compared to the methods without subtle motion magnification technology, the proposed method significantly improves waveform clarity, amplitude stability, and periodic regularity. Meanwhile, the average accuracy in pulse pattern recognition reaches 96.29%±0.26%.
Algorithms ; Imaging, Three-Dimensional/methods* ; Pattern Recognition, Automated ; Medicine, Chinese Traditional ; Motion ; Humans ; Pulse ; Signal Processing, Computer-Assisted ; Machine Learning

Objective:To investigate the related factors affecting the survival of adult patients with newly diagnosed chronic myeloid leukemia in the chronic phase (CML-CP) treated with tyrosine kinase inhibitor (TKI) and the prognostic predictive effect of the nomogram constructed according to them.Methods:A retrospective cohort study was conducted. Clinical general information and laboratory index data of 243 newly diagnosed adult CML-CP patients treated with TKI in the First Hospital of Lanzhou University from December 2008 to June 2023 were collected, and they were divided into a training set (194 patients) and a validation set (49 patients) by complete randomization in the ratio of 8∶2. In the training set, variables affecting poor overall survival (OS) of patients were analyzed using univariate and multivariate Cox proportional hazards models by R4.3.2 software to obtain the independent influences of poor OS, on the basis of which the Cox regression model was constructed and the nomogram predicting the OS rate at 8 and 10 years was plotted. Kaplan-Meier method was applied to analyze the OS in all 243 patients and patients stratified by the screened independent influencing factors for poor OS, and log-rank test was used for comparison between the groups. In the training and validation sets, receiver operating characteristic (ROC) curve was used to analyze the effect of the nomogram on predicting 8- and 10-year OS rates of patients with actual survival as the gold standard; calibration curve was used to assess the accuracy of predictions of the nomogram; decision curve analysis (DCA) was used to assess the clinical utility of the nomogram.Results:The median age of 243 CML-CP patients [ M ( Q1, Q3)] was 46 (35, 58) years old, 150 cases (61.7%) were male and 9 cases (38.3%) were female, 119 cases (49.0%) had comorbidities, and the efficacy of 82 cases (33.7%) reached molecular response (MR) 5.0. Differences in patient compositions for age and gender, levels of major indicators for peripheral blood and bone marrow, spleen size, comorbidities, short-term efficacy, Sokal score, and long-term survival score of European Treatment and Outcomes Study between the training and validation sets were not statistically significant (all P > 0.05). Multivariate Cox regression analysis showed that patients with elevated age ( HR = 1.04, 95% CI: 1.01-1.08, P = 0.041), comorbidities (with vs. without, HR = 3.48, 95% CI: 1.23-9.86, P = 0.019), and those who did not achieve MR5.0 (achieved vs. unachieved, HR = 0.13, 95% CI: 0.02-0.97, P = 0.046) were independent risk factors for poor OS in TKI-treated newly diagnosed adult CML-CP patients. By the last follow-up (December 2023), the median follow-up was 72 months, with the range of 6-180 months. Kaplan-Meier method analysis showed that the 8- and 10-year OS rates of 243 patients were 83.7% and 81.6%, respectively; patients with age ≥46 years compared to <46 years, with comorbidities compared to without comorbidities, and who did not achieve MR5.0 in terms of efficacy compared to who achieved MR5.0, the OS was poorer, and the differences were statistically significant (all P < 0.01). The nomogram of 8- and 10-year OS rates in TKI-treated newly diagnosed adult CML-CP patients was constructed based on the screened independent influencing factors of poor OS. The area under the ROC curve was 0.910 and 0.851 in the training set and 0.778 and 0.764 in the validation set for the predicted 8- and 10-year OS rates based on the nomogram, respectively, and the calibration curve showed that the predicted 8- and 10-year OS rates based on the nomogram were in high agreement with the actual ones in the training and validation sets; the DCA showed that the nomogram within a certain prediction threshold could benefit the clinical decision-making in both the training and validation sets. Conclusions:Having comorbidities, not reaching MR5.0 in efficacy and old age are independent risk factors for poor survival of TKI-treated adult patients with newly diagnosed CML-CP, and the nomogram constructed based on these 3 factors has a good predictive ability for the survival of such patients.

Objective To investigate the water quality and sanitary conditions of rural self-provided wells water in Haidian District, Beijing, and to provide reference for strengthening water supply management of self-provided wells. Methods The water quality monitoring data of rural self-provided wells in Haidian District from 2018 to 2022 were analyzed. Results A total of 1 568 water samples were tested in 2018-2022 , of which 1 486 were qualified, with a qualified rate of 94.77%. The qualified rate in each year was 86.75% , 92.86% , 97.48% , 98.06% , and 99.34% , respectively , and the difference was statistically significant ( χ²= 75.296 , P＜0.05). The qualified rates of sensory traits and general chemical indexes, toxicological indexes and microbial indexes were 97.70%, 97.58% and 98.28%, respectively. There were statistically significant differences in the qualified rates among the three indexes in 2018, 2019 and 2021 (P < 0.05). The unqualified indicators included total hardness, total number of colonies, total coliform, fluoride, nitrate and turbidity, with a qualified rate of 97.96%, 98.41%, 99.17%, 99.11%, 98.47% and 99.94%, respectively. Conclusion The water quality of self-provided wells in rural Haidian District is good. Relevant departments should continue to strengthen the supervision of self-provided wells, such as the supervision of self-provided wells disinfection devices and water treatment equipment, to ensure the safety of drinking water for residents.