Objective: To understand the hydration status and related factors of rural boarding primary school students, so as to provide a scientific basis for drinking water health intervention for primary school students. Methods: In November 2023, a convenience sampling approach was employed to conduct a hydration status survey among 144 boarding students in grades 5 and 6 of a rural primary school in Guangxi. The Duplicate meal method and weighing method were utilized to measure the food derived water intake over three consecutive days. Urine osmolarity of students was measured on site for three days, and a simple physical examination was also carried out. A self administered questionnaire was used to investigate students drinking water literacy, daily water intake, and physical activity levels. Meanwhile, a drinking water literacy survey was conducted among 21 substitute teachers and 144 parents of the boarding students in grades 5 and 6. Logistic regression was used to identify factors associated with students hydration status. Results: The median daily total water intake of students was 2 043.55 mL, and 54.86% of the students did not reach the recommended Adequate Intake (AI). The median food derived water intake was 1 149.24 mL, accounting for 53.94% of the total water intake. Univariate analysis revealed that the daily drinking frequency, daily water intake, and food derived water intake of students were related factors of hydration status ( β =-1.60, -1.01, -0.00, all P <0.05). Multivariate Logistic regression analysis showed that primary school students with a daily drinking frequency of ≥7 times were more likely to maintain an adequate hydration status ( OR =0.28, 95% CI =0.09-0.93, P ＜0.05). Conclusions The water intake from food is the main source of water in the body for boarding primary school students in a certain rural school in Guangxi. Primary school students should increase their water intake frequency appropriately to maintain an adequate hydration status.

Objective: To investigate factors influencing perioperative blood transfusion in patients with scarred uterus during pregnancy undergoing cesarean section, construct and validate a transfusion risk prediction model, and provide evidence for preoperative assessment and blood management. Methods: Clinical data of 405 patients undergoing cesarean section for scarred uterus during pregnancy at the First Affiliated Hospital of Xi'an Jiaotong University from January 2020 to December 2024 were retrospectively collected. The dataset was randomly divided into a training set (n=284) and a validation set (n=121) at a 7∶3 ratio. Within the training set, Firth-penalized logistic regression was employed for multivariate analysis to identify independent factors influencing perioperative blood transfusion and construct a predictive model. Model performance was evaluated in the validation set. Results: Multivariate Firth regression analysis showed that severe placenta previa (OR=75.566, 95%CI: 8.603-9979.174) and placenta accreta (OR=4.591, 95%CI: 1.120-19.416) were independent risk factors for perioperative blood transfusion, while preoperative red blood cell count (OR=0.189, 95%CI: 0.083-0.405) and fibrinogen levels (OR=0.588, 95%CI: 0.395-0.855) were protective factors. The predictive model constructed based on these four variables demonstrated good discriminatory performance, with areas under the receiver operating characteristic curves of 0.803 (95%CI: 0.740-0.867) and 0.753 (95%CI: 0.644-0.862) in the training and validation sets, respectively. Conclusion: For patients with scarred uterus during pregnancy undergoing cesarean section, severe placenta previa and placenta accreta significantly increase the risk of transfusion, while higher preoperative red blood cell count and fibrinogen levels exert a protective effect. The predictive model established in this study facilitates the identification of patients requiring transfusion, thereby enabling preoperative blood preparation and optimized blood management.

Rheumatoid arthritis belongs to arthralgia in the theory of traditional Chinese medicine, with cold dampness obstruction pattern (CDO) and damp heat obstruction pattern (DHO) as the main pattern types. Fine therapeutic effects have been obtained in clinical practice following the differentiation of CDO and DHO. However, suitable animal models are not available currently. For adapting to the clinical diagnosis, as well as carrying out basic research of integrated Chinese and Western medicine and preclinical study on new Chinese medicine in a better way, the “Guidelines for Establishing Animal Models of Rheumatoid Arthritis with Cold Dampness Obstruction Pattern and Damp Heat Obstruction Pattern” (referred to as “Guidelines”) were compiled by our research group in cooperation with renowned experts in clinical, pharmaceutical, zoological, and methodological research fields. According to the theory of disease and syndrome integration, experts standardized the establishment methods for animal models of rheumatoid arthritis with CDO and DHO. The Guidelines were compiled via the nominal group method according to the principle of evidence coming in main place, consensus as the auxiliary, and experience as the references. Contents such as animal species, arthritis induction methods, external stimulation conditions, and assessment indicators were specified in the Guidelines based on the comprehensive evaluation of pathogenesis homology, behavioral phenotypic consistency, and drug therapy predictability between animal models and human diseases. The Guidelines will be applicable to the research on syndromes in rheumatoid arthritis, elucidation of acting mechanism, and development of new medicine, and provide reference for standardizing other types of animal models with the integration of disease and syndrome, to promote the modernization of Chinese medicine research.

AIM: To investigate the prevalence of pterygium in the southeast coastal area, analyze associated risk factors, and develop a multimodal machine learning predictive model.METHODS:A cross-sectional epidemiological study. A random sampling of the resident population of the Zhoushan Islands was performed. Data were collected through on-site ophthalmic examinations and epidemiological surveys. Univariate and multivariate analyses were performed to identify risk factors associated with pterygium. A multimodal artificial intelligence machine learning model was constructed to integrate and analyze both structured and unstructured data for predictive modeling. RESULTS:A total of 1 842 participants were enrolled in this study, including 926 males(50.27%)and 916 females(49.73%), with a mean age of 48.62±10.35 y. A total of 644 patients(34.96%), including 323 males(50.15%)and 321 females(49.84%)were diagnosed with pterygium, including 502 cases(77.95%)were unilateral, and 142 cases(22.05%)were bilateral. There were 1 198 cases without pterygium, including 603 males(50.33%)and 595 females(49.67%). Occupation, daily outdoor sunlight exposure duration, meibomian gland orifice obstruction, age, smoking, and alcohol consumption were identified as significant risk factors for pterygium. Occupation and daily outdoor sunlight exposure duration were the most potent risk factors(OR=6.125, P<0.001; OR=5.348, P<0.001, respectively), followed by age >40 y(OR=5.295, P<0.001)and meibomian gland orifice obstruction(OR=5.248, P<0.001). The multimodal machine learning model demonstrated good predictive performance, as evidenced by the receiver operating characteristic(ROC)curve, precision-recall(PR)curve, and confusion matrix, all indicating high predictive value, AUC=0.86, AP=0.77.CONCLUSION: Fishermen and farmers aged over 40 y with more than 4 h of daily sunlight exposure are at high risk for pterygium in the southeast coastal area. Meibomian gland dysfunction is correlated with corneal invasion of pterygium and may facilitate its progression; therefore, active health education and targeted intervention are recommended. The multimodal machine learning model provides accurate and reliable predictive capability for pterygium risk, which may facilitate risk stratification and early warning for pterygium in southeast coastal populations.

AIM: To investigate the efficacy of Yangyin Yiqi Decoction combined with polyethylene glycol eye drops on dry eye disease after cataract surgery and its effect on inflammatory factors in tears.METHODS:Prospective study. A total of 104 patients(104 eyes)with dry eye disease after cataract surgery admitted to our hospital from April 2022 to March 2024 were selected and randomly divided into two groups: 52 cases(52 eyes)in the control group were treated with polyethylene glycol eye drops; 52 cases(52 eyes)in the combined group were treated with Yangyin Yiqi Decoction combined with polyethylene glycol eye drops. The dry eye symptom score, tear film stability index, tear inflammatory factor level, ocular surface disease index score(OSDI)and clinical efficacy of the two groups were compared before and after treatment.RESULTS:There were 6 cases(6 eyes)lost to follow-up, and 3 cases(3 eyes)were lost to follow-up in each group, with a loss to follow-up rate of 5.8%. The total effective rate of treatment in the combination group was significantly higher than that in the control group(94% vs 80%, P=0.037), and the Schirmer I test(SIt)and tear film break-up time(BUT)were higher than those in the control group(all P<0.05), and the dry eye symptom score, corneal fluorescein staining(FL)score, IL-1β, TNF-α, hs-CRP levels in tears and OSDI score were lower than those in the control group(all P<0.05).CONCLUSION:The combination of Yangyin Yiqi Decoction and polyethylene glycol eye drops provides an effective treatment plan for patients with dry eye disease after cataract surgery. It can effectively alleviate dry eye symptoms, reduce eye discomfort, improve tear film stability and ocular surface status, and reduce inflammatory factors in tears.

This study identified blood-entering components of Anshen Dropping Pills and explored their anti-insomnia effects and mechanisms. The main blood-entering components of Anshen Dropping Pills were detected and identified by UPLC-Q-TOF-MS/MS. The rationality of the formula was assessed by using enrichment analysis based on the relationship between drugs and symptoms, and core targets of its active components were selected as the the potential anti-insomnia targets of Anshen Dropping Pills through network pharmacology analysis. Furthermore, protein-protein interaction(PPI) network, Gene Ontology(GO) enrichment analysis, and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway analysis were performed on the core targets. An active component-core target network for Anshen Dropping Pills was constructed. Finally, the effects of low-, medium-, and high-dose groups of Anshen Dropping Pills on sleep episodes, sleep duration, and sleep latency in mice were measured by supraliminal and subliminal pentobarbital sodium experiments. Moreover, total scores of the Pittsburgh sleep quality index(PSQI) scale was used to evaluate the changes before and after the treatment with Anshen Dropping Pills in a clinical study. The enrichment analysis based on the relationship between drugs and symptoms verified the rationality of the Anshen Dropping Pills formula, and nine blood-entering components of Anshen Dropping Pills were identified by UPLC-Q-TOF-MS/MS. The network proximity revealed a significant correlation between eight components and insomnia, including magnoflorine, liquiritin, spinosin, quercitrin, jujuboside A, ginsenoside Rb_3, glycyrrhizic acid, and glycyrrhetinic acid. Network pharmacology analysis indicated that the major anti-insomnia pathways of Anshen Dropping Pills involved substance and energy metabolism, neuroprotection, immune system regulation, and endocrine regulation. Seven core genes related to insomnia were identified: APOE, ALB, BDNF, PPARG, INS, TP53, and TNF. In summary, Anshen Dropping Pills could increase sleep episodes, prolong sleep duration, and reduce sleep latency in mice. Clinical study results demonstrated that Anshen Dropping Pills could decrease total scores of PSQI scale. This study reveals the pharmacodynamic basis and potential multi-component, multi-target, and multi-pathway effects of Anshen Dropping Pills, suggesting that its anti-insomnia mechanisms may be associated with the regulation of insomnia-related signaling pathways. These findings offer a theoretical foundation for the clinical application of Anshen Dropping Pills.
Animals ; Drugs, Chinese Herbal/administration & dosage* ; Tandem Mass Spectrometry/methods* ; Sleep Initiation and Maintenance Disorders/metabolism* ; Mice ; Network Pharmacology ; Male ; Chromatography, High Pressure Liquid ; Humans ; Protein Interaction Maps/drug effects* ; Sleep/drug effects* ; Female ; Adult

OBJECTIVE: Varied acupoint selections represent a potential cause of the uncertainty surrounding the efficacy of acupuncture for knee osteoarthritis (OA). Skin temperature, a guiding factor for acupoint selection, may help to address this issue. This study explored thermal sensitization of acupoints used for the treatment of knee OA. METHODS: This cross-sectional case-control study enrolled cases aged 45-75 years with symptomatic knee OA and age- and gender-matched non-knee OA controls in a 1:1 ratio. All participants underwent infrared thermographic imaging. The primary outcome was the relative skin temperature of acupoint (STA), and the secondary outcome was the absolute STA of 11 acupoints. The Z test was used to compare the relative and absolute STAs between the groups. Principal component analysis was used to extract the common factors (CFs, acupoint cluster) in the STAs. A general linear model was used to identify factors affecting the STA in the knee OA cases. For the group comparisons of relative STA, P < 0.0045 (adjusted for 11 acupoints through Bonferroni correction) was considered to indicate statistical significance. For other analyses, P < 0.05 was used as the threshold for statistical significance. RESULTS: The analysis included 308 participants, consisting of 151 cases (mean age: [64.58 ± 6.67] years; male: 25.83%; mean body mass index: [25.70 ± 3.16] kg/m²) and 157 controls (mean age: [63.37 ± 5.96] years; male: 26.11%; mean body mass index: [24.47 ± 2.84] kg/m²). The relative STAs of ST34 (P = 0.0001), EX-LE2 (P < 0.0001), EX-LE5 (P = 0.0006), SP10 (P < 0.0001), BL40 (P = 0.0012) and GB39 (P = 0.0037) were higher in the knee OA group. No difference was found in the STAs of ST35, ST36, SP9, GB33 and GB34. Four CFs were identified for relative STA in both groups. The acupoints within each CF were consistent between the groups. The mean values of the relative STAs across each CF were higher in the knee OA group. In the knee OA cases, no factors were observed to affect the relative STA, while age and gender were found to affect the absolute STA. CONCLUSION Among patients with knee OA, thermal sensitization occurs in the acupoints of the lower extremity, exhibiting localized and regional thermal consistencies. The thermally sensitized acupoints that we identified in this study, ST34, SP10, EX-LE2, EX-LE5, GB39 and BL40, may be good choices for the acupuncture treatment of knee OA. Please cite this article as: Tu JF, Wang XZ, Yan SY, Wang YR, Yang JW, Shi GX, Zhang WZ, Jing LN, Yang LS, Liu DH, Wang LQ, Mi BH. Thermal sensitization of acupoints in patients with knee osteoarthritis: A cross-sectional case-control study. J Integr Med. 2025; 23(3): 289-296.
Humans ; Osteoarthritis, Knee/physiopathology* ; Male ; Cross-Sectional Studies ; Middle Aged ; Female ; Acupuncture Points ; Case-Control Studies ; Aged ; Skin Temperature ; Acupuncture Therapy

Objective To analyze the influencing factors of feeding intolerance in the patients with se-vere traumatic brain injury(STBI).Methods The clinical data in 96 patients with STBI in this hospital from January 2023 to December 2023 were retrospectively analyzed.The patients were divided into the tolerance group and non-tolerance group according to whether the intolerance developed during the feeding process.The general condiction,laboratory detection,treatment measures and enteral nutrition implementation condition were recorded.The multivariate logistic regression was used to analyze the influencing factors of feeding intol-erance in STBI patients.Results Among 96 patients,43 cases(44.79％)developed the feeding intolerance.The results of univariate analysis showed that GCS score,blood glucose,serum albumin,starting time of en-teral nutrition,sedative drugs use,mechanical ventilation,antacids use,combined use of antibiotics,vasoactive drugs use,mild hypothermia therapy and prone position ventilation were related with the feeding intolerance in STBI patients.The multivariate logistic regression analysis showed that combined use of antibiotics(OR=43.628,P=0.002),use of vasoactive drugs(OR=140.211,P=0.004),delayed initiation of enteral nutrition(OR=44.529,P=0.009),mild hypothermia treatment(OR=439.599,P=0.001)and prone position venti-lation(OR=288.702,P=0.014)were the independent influencing factors of feeding intolerance in STBI pa-tients.Conclusion STBI patients are prone to develop the feeding intolerance.If there is no contraindication,the enteral nutrition should be initiated as early as possible,and the personalized prevention and treatment measures aiming at various influencing factors should be formulated.

A quantitative analytical method was established for 275 kinds of metabolites in plasma based on ultra-high performance liquid chromatography-triple quadrupole mass spectrometry/multiple reaction monitoring-selected ion monitoring(UHPLC-QQQ-MS/MRM-SIM)technique.Based on UHPLC-high resolution(HRMS)/full MS-parallel reaction monitoring(PRM)technique,165 kinds of lipid metabolites in plasma were qualitatively identified and quantitatively detected to address the analytical challenges of lipid isomers.This quantitative metabolomics approach was successfully applied to a rat myocardial infarction study,identifying and quantifying 372 kinds of metabolites in total.Comparative analysis with the sham-operated group revealed significant alterations in 59 kinds of plasma metabolites in myocardial infarction rats.Key metabolic pathways,which included amino acid metabolism(alanine,aspartate,and glutamate metabolism;glycine,serine,and threonine metabolism,etc.),one-carbon unit metabolism,and tricarboxylic acid cycle,were significantly disrupted.

Objective To investigate the factors influencing pathologic complete response(pCR)after neoadjuvant chemotherapy(NAC)and its correlation with prognosis in patients with human epidermal growth factor receptor 2(HER2)-low breast cancer.Methods A retrospective analysis was conducted on patients with HER2-low breast cancer who underwent NAC at the Second Affiliated Hospital of Jiujiang College from February 28,2018 to February 28,2021.Patients were divided into pCR group(achieved pCR,n=143)and non-pCR group(did not achieve pCR,n=300)based on pCR status.General clinicopathological data were collected and compared between the two groups,including age,surgical method,NAC regimen,postoperative radiotherapy,clinical tumor stage,tumor cT stage,tumor cN stage,pathological type,tumor Nottingham grade,hormone receptor(HR)status,Ki-67 status,menopausal status,and endocrine therapy.Binary logistic regression analysis was used to identify factors influencing pCR after NAC.Propensity score matching(1:1)was employed to balance baseline characteristics between the two groups.The matched groups'baseline data were compared.Kaplan-Meier method was used for survival analysis of the matched cohorts.Multivariate Cox proportional hazards regression models were used to analyze the independent influence of pCR on disease-free survival(DFS)and overall survival(OS)in HER2-low breast cancer after matching.Results A total of 443 patients with HER2-low breast cancer receiving NAC were included,with a mean age of(49.5±8.0)years.Binary logistic regression analysis identified clinical tumor stage(OR=0.498,95%CI 0.267-0.930),HR status(OR=0.513,95%CI 0.328-0.801),Ki-67 status(OR=2.580,95%CI 1.366-4.874),tumor Nottingham grade Ⅲ(OR=3.197,95%CI 1.147-8.910),and endocrine therapy(OR=0.513,95%CI 0.328-0.801)as independent factors influencing pCR after NAC(P<0.05).After propensity score matching,80 patients remained in each group(PCR and non-PCR).No significant differences were found in clinicopathological characteristics between the matched groups(P>0.05).The median follow-up time was 45.0 months(95%CI 43.1-46.9)for pCR group and 43.0 months(95%CI 41.0-45.0)for non-pCR group.The DFS rate was significantly higher in pCR group than that in non-pCR group(87.5%vs.70.0%,P=0.004),but there was no significant difference in OS rate(88.8%vs.85.0%,P=0.438).Multivariate Cox regression analysis showed that pCR was an independent factor influencing on DFS(HR=0.312,95%CI 0.142-0.688,P=0.004),but not OS in HER2-low breast cancer patients.Conclusions Patients with HER2-low breast cancer who have a lower clinical tumor stage,HR-negative status,high Ki-67 expression,high tumor Nottingham grade,and absence of endocrine therapy are more likely to achieve pCR.Achieving pCR prolongs DFS significantly but does not significantly improve OS in these patients.