Objective: To explore the types of medication adherence and their influencing factors among inpatients with chronic diseases based on latent profile analysis, so as to provide the basis for improving medication adherence among patients with chronic diseases. Methods: The inpatients with chronic diseases admitted to the Second Affiliated Hospital of Hainan Medical University were selected as the study subjects. Demographic information, chronic disease status, and health education were collected through questionnaire surveys. Medication adherence was assessed using the Medication Adherence Scale and categorized based on the scores of its eight items through latent profile analysis. Factors affecting medication adherence among inpatients with chronic diseases were analyzed using a multinomial logistic regression model. Results: Totally 290 valid questionnaires were recovered, with an effective recovery rate of 97.64%. There were 157 males (54.14%) and 133 females (45.86%), with a median age of 61 (interquartile range, 21) years. The median score of medication adherence was 4.75 (interquartile range, 4.50). Based on latent profile analysis, medication adherence was categorized into three types: subjective neglect with poor adherence (38.97%), subjective confidence with fluctuating adherence (28.28%), and self-reflective with good adherence (32.76%). Multinomial logistic regression analysis showed that compared to the subjective confidence with fluctuating adherence, family monthly income (5 000-10 000 yuan, OR=2.981, 95%CI: 1.055-8.429), comorbidity of chronic diseases (OR=3.478, 95%CI: 1.579-7.661), number of health education sessions received in the past year (≤1 session, OR=0.329, 95%CI: 0.120-0.907; 2 sessions, OR=0.363, 95%CI: 0.138-0.950), and health information literacy scores (<60 points, OR=2.596, 95%CI: 1.209-5.573) were statistically associated with subjective neglect with poor adherence (all P<0.05). Conclusion Subjective neglect with poor medication adherence among inpatients with chronic diseases is associated with family monthly income, comorbidity of chronic diseases, the number of health education sessions received, and health information literacy.

Objective To perform on-site calibration of high-pressure ionization chambers and NaI(Tl) γ spectrometers in state-controlled atmospheric radiation environment automatic continuous monitoring stations and verify the reliability of the online radiation environment monitoring system. Methods ¹³⁷Cs, ⁶⁰Co, and ²⁴¹Am were used as γ reference radiation sources to measure the metrological performance of high-pressure ionization chambers in nine state-controlled atmospheric radiation environment automatic monitoring stations in Hubei Province, China. The performance metrics included background radiation, response, and repeatability. Additionally, the correlation between dose rate and humidity was analyzed, and the energy resolution and activity response of NaI(Tl) γ spectrometers were measured. Results Among the nine state-controlled atmospheric radiation environment automatic monitoring stations, the background radiation of high-pressure ionization chambers ranged from 58.2 nGy/h to 82.6 nGy/h. The response of the high-pressure ionization chambers ranged from 0.94 to 1.08, fulfilling the requirement of 1.0 ± 0.2. The repeatability of high-pressure ionization chambers ranged from 0.43% to 3.80%, satisfying the requirement of not exceeding 10%. A significant correlation was observed between dose rate and humidity, with a correlation coefficient of 0.4476. For NaI(Tl) γ spectrometers, the energy resolution ranged from 6.8% to 7.9%, fulfilling the requirement of not exceeding 9% for the 661.7 keV energy peak of ¹³⁷Cs. The NaI(Tl) γ spectrometers showed 1.4% to 1.8% s⁻¹·Bq⁻¹ activity response to ²⁴¹Am and 6.6‰ to 8.4‰ s⁻¹·Bq⁻¹ activity response to ⁶⁰Co. Conclusion The online monitoring systems in the nine state-controlled atmospheric radiation environment automatic monitoring stations are stable and reliable, providing accurate radiation environment monitoring data for public awareness.

Peanut, a major economic and oil crop known for the high protein and oil content, is extensively cultivated in China. Peanut plants have the ability to form nodules with rhizobia, where the nitrogenase converts atmospheric nitrogen into ammonia nitrogen that can be utilized by the plants. Analysis of nodule fixation is of positive significance for avoiding overapplication of chemical fertilizer and developing sustainable agriculture. In this study, AhNIGT1.2, a member of the NIGT family predominantly expressed in peanut nodules, was identified by bioinformatics analysis. Subsequent spatiotemporal expression analysis revealed that AhNIGT1.2 was highly expressed in nodules and showed significant responses to high nitrogen, low nitrogen, high phosphorus, low phosphorus, and rhizobia treatments. Histochemical staining indicated that the gene was primarily expressed in developing nodules and at the connection region between mature nodules and peanut roots. The fusion protein AhNIGT1.2-GFP was located in the nucleus of tobacco epidermal cells. The AhNIGT1.2-OE significantly increased the number of peanut nodules, while AhNIGT1.2-RNAi reduced the number of nodules, which suggested a positive regulatory role of AhNIGT1.2 in peanut nodulation. The AhNIGT1.2-OE in roots down-regulated the expression levels of NRT1.2, NRT2.4, NLP1, and NLP7, which indicated that AhNIGT1.2 influenced peanut nodulation by modulating nitrate transport and the expression of NLP genes. The transcriptome analysis of AhNIGT1.2-OE and control roots revealed that overexpressing AhNIGT1.2 significantly enriched the differentially expressed genes associated with nitrate response, nodulation factor pathway, enzymes for triterpene biosynthesis, and carotenoid biosynthesis. These findings suggest that AhNIGT1.2 play a key role in peanut nodulation by regulating nitrate transport and response and other related pathways. This study gives insights into the molecular mechanisms of nitrogen and phosphorus in regulating legume nodulation and nitrogen fixation, and sheds light on the development of legume crops that can efficiently fix nitrogen in high nitrogen environments.
Arachis/physiology* ; Nitrates/metabolism* ; Plant Proteins/physiology* ; Transcription Factors/metabolism* ; Plant Root Nodulation/physiology* ; Gene Expression Regulation, Plant ; Root Nodules, Plant/metabolism* ; Nitrogen Fixation

Objective To investigate the risk factors and intervention measures for surgical site infec-tion following posterolateral approach lumbar fusion surgery.Methods A total of 1 078 patients who under-went posterolateral approach lumbar fusion surgery in the department of spine surgery from January 1,2022 to December 31,2023 were included.Patient related information was collected through the real-time nosocomi-al infection monitoring system,while medical visit information was obtained via the outpatient electronic med-ical record system.Multivariate logistic regression analysis was performed to identify risk factors for surgical site infection.Results Among the 1 078 patients,34 cases(3.15%)developed surgical site infections,while 1 044 cases did not.Multivariate logistic regression analysis revealed that age,smoking,hypertension,diabetes,concurrent hospital stay,operative time,duration of postoperative antimicrobial use after initial surgery,and total antimicrobial use duration were significant risk factors for surgical site infection(P＜0.05).Among the 34 infected patients,the duration of antimicrobial use varied significantly across different infection sites(P＜0.05),with the longest duration observed in patients with deep space infections.Conclusion Targeted surveil-lance of surgical site infections should be reinforced based on these risk factors.Perioperative infection control measures must be strictly implemented to improve the scientific,precise,and standardized management of sur-gical-related nosocomial infections.

Objective To construct a logistic regression prediction model for stress ulcer(SU)after cerebral hemorrhage.Methods A total of 230 patients with cerebral hemorrhage admitted to our hospital from January 2020 to January 2023 were prospectively selected as the study subjects.They were randomly di-vided into a training group and a validation group using a random number table method,with 115 patients in each group.The incidence of postoperative SU was statistically compared between the two groups.The least absolute shrinkage and selection operator(Lasso)and logistic regression were used to analyze the influencing factors of SU after cerebral hemorrhage,and a logistic regression prediction model was established and valida-ted.Results The incidence of SU was 19.13%in the training group and 20.00%in the validation group.In-crement of age,blood loss≥30 mL,higher levels of neutrophil-to-lymphocyte ratio(NLR),heat shock protein 70(HSP70)and HSP90 were identified as independent risk factors for SU after cerebral hemorrhage(P<0.05),while lower levels of Glasgow Coma Scale(GCS)score and albumin(Alb)were protective factors(P<0.05).The prediction model was logit(P)=0.409×age+1.288×blood loss-1.335×GCS score-1.126×Alb+0.452×NLR+1.483×HSP70+1.593×HSP90-10.325.The areas under the receiver operat-ing characteristic(ROC)curve(AUC)for the training group and the validation group were 0.845(95%CI:0.765-0.906)and 0.855(95%CI:0.777-0.913),respectively.The sensitivities were 81.82%and 90.91%,and the specificities were 76.34%and 70.97%,respectively.Conclusion A logistic regression prediction model was successfully constructed,which has certain predictive value for SU after cerebral hemorrhage.

Objective　To explore the effect of Mp1p on host macrophages through transcriptomics combined with metabolomics. Methods Firstly, a THP-1 macrophage strain (THP-1-Mp1p+) stably expressing Mp1p was constructed using lentivirus. Secondly, using high-throughput RNA sequencing (RNA Seq) technology, the expression level of intracellular mRNA was detected in transcriptomics analysis to determine differentially expressed genes; In metabolomics analysis, metabolite identification was performed through database comparison, and pathway analysis was performed on differential metabolites to reveal potential mechanisms of action. Finally, the results of metabolomics and transcriptomics were combined for analysis, and differential metabolites and genes were analyzed to further elucidate the mechanism of action of Mp1p on macrophages. Results Transcriptome analysis showed that, compared with the negative control group, the THP-1-Mp1p+ group had a total of 1 180 differentially expressed genes (DEGs), with 345 upregulated genes and 835 downregulated genes. GO enrichment analysis of DEGs showed that there were 135 differentially expressed genes, including 105 in biological processes (BP), 28 in cellular components (CC), and 2 in molecular functions (MF). The KEGG analysis results showed that the effect of Mp1p on THP-1 macrophages was highly correlated with the TNF pathway. The metabolomic analysis found that both the blank control group and the THP-1-Mp1p+ macrophage group achieved good separation between QC samples in both positive and negative ion modes. The threshold for significant differential metabolites was set at: VIP≥1 and T-test P<0.05, resulting in the identification of 488 differential metabolites, with 230 in the positive ion mode and 258 in the negative ion mode. Pathway enrichment analysis of the identified metabolites pointed to significant enrichment in metabolic pathways. The combined analysis confirmed that the tumor necrosis factor signaling pathway, interleukin-17 signaling pathway, and NF-kappaB signaling pathway were important metabolic pathways involved. Conclusions The virulence factor Mp1p may affect host macrophages by modulating the tumor necrosis factor signaling pathway, interleukin-17 signaling pathway, and NF-kappaB signaling pathway. The findings contribute to a better understanding of the mechanisms of action of Mp1p and may offer potential directions for the selection of relevant diagnostic and therapeutic targets in the future.

Objective This study aimed to identify differentially methylated genes (DMGs) associated with natural killer cells in patients with autoimmune thyroiditis (AIT),focusing on the influence of varying water iodine exposure levels. Methods Participants were divided into categories based on median water iodine (MWI) concentrations:iodine-fortified areas (IFA,MWI<10 μg/L),iodine-adequate areas (IAA,40 ≤ MWI ≤ 100μg/L),and iodine-excessive areas (IEA,MWI>300 μg/L). A total of 176 matched AIT cases and controls were recruited and divided into 89,40,and 47 pairs for IFA,IAA,and IEA,respectively. DMGs were identified using 850K BeadChip analysis for 10/10 paired samples. Validation of DNA methylation and mRNA expression levels of the DMGs was conducted using MethylTarget? and QRT-PCR for 176/176 paired samples. Results KLRC1,KLRC3,and SH2D1B were identified as significant DMGs. Validation revealed that KLRC1 was hypomethylated and highly expressed,whereas KLRC3 was hypermethylated and highly expressed in individuals with AIT. Furthermore,KLRC1 was hypomethylated and highly expressed in both IFA and IEA. Conclusion The DNA methylation status of KLRC1 and KLRC3 may play crucial roles in AIT pathogenesis. Additionally,DNA methylation of KLRC1 seems to be influenced by different iodine concentrations in water.

Objective To compare the analgesic effect and the effect on the success rate of reduc-tion of three doses of remifentanil combined with dexmedetomidine in the clamping reduction of cricoarytenoid joint dislocation.Methods Fifty-one patients with cricoarytenoid joint dislocation,30 males and 21 females,aged 18-80 years,BMI 18.5-30.0 kg/m2,ASA physical status Ⅰ-Ⅲ,were selected from April 2021 to December 2022 in the department of otolaryngology,head and neck surgery.The patients were randomly divided into three groups according to remifentanil dose:remifentanil 0.5 μg·kg-1·min-1 group(group A,n=17),remifentanil 1.0 μg·kg-1·min-1 group(group B,n=18),and remifentanil 1.5 μg·kg-1·min-1 group(group C,n=16).After admission,dexmedetomidine 0.6 μg·kg 1·h-1 was injected intravenously,and an ear,nose and throat anesthetic spray(2％lidocaine 2 ml)was used to administer surface anesthesia to the base of the tongue.A second surface anesthesia was administered to the throat at 5 minutes,and dexmedetomidine was stopped at 10 minutes.The supraglottic and periarticular cri-coarytenoid joints were subjected to superficial anesthesia for a third time under visual laryngoscope,and then remifentanil at corresponding doses was injected intravenously in three groups for 5 minutes,and the reduction operation began after the pumping was stopped.The success of the first reduction,the anesthesia quality satisfaction score of the surgeon and the recovery of remifentanil during the operation were recorded.VAS pain scores were recorded at the time of entry,3 minutes,30 minutes,and 6 hours after operation.The adverse reactions during operation and recovery were recorded.Results Compared with group B,the success rate of first reduction and the score of anesthesia quality satisfaction were significantly decreased in groups A and C(P＜0.05).Compared with group A,the ratio of additional remifentanil supplementation in groups B and C was significantly reduced,and the VAS pain score 3 minutes after surgery was significant-ly decreased(P＜0.05).Compared with group C,the proportion of mandibular manipulation ventilation in groups A and B was significantly reduced(P＜0.05).There was no significant difference in the incidence of bradyheart rate,nausea and vomiting,agitation,delirium and laryngeal spasm between the three groups.Conclusion Compared with remifentanil 0.5 and 1.5 μg·kg-1·min-1,remifentanil 1.0 μg·kg-1·min-1 combined with dexmedetomide sequential pumping provided good analgesic effect for the clamping reduction of cricoarytenoid joint dislocation,improved the success rate of the first reduction,more stable respiratory circulation and fewer perioperative adverse reactions.

Objectives:To examine the clinicopathological characteristics and the influencing factors of the residual tumor of patients with Breast Image Report and Data System (BI-RADS) grade 3 lesions diagnosed with malignancy after minimally invasive excision.Methods:In this retrospective case-control study, clinicopathological data of 69 cases, which had been evaluated as BI-RADS 3 lesions by ultrasound (4 151 cases) diagnosed with breast cancer by minimally invasive excision pathology, were analyzed between May 2012 and June 2016 at the Department of Breast Surgery of the Second Hospital of Shandong University and Linyi People′s Hospital. All patients were female, aged (43.4±8.2) years (range: 22 to 70 years). Based on residual tumor after minimally invasive excision, patients were classified into two subgroups: tumor residual group ( n=39) and non-tumor residual group ( n=30). The clinicopathological features between the two groups were compared. The differences in clinicopathological characteristics were compared in different groups using the χ 2 test and the t test. Potential variables identified in the univariate analysis and other relevant variables will be analyzed multivarially using Logistic regression models. The Kaplan-Meier method was applied for survival analysis and survival curves. Results:The breast cancer detection rate of ultrasound BI-RADS 3 lesions was 1.66% (69/4 151), and their maximum diameter of the masses was (1.27±0.45) cm (range: 0.5 to 2.3 cm). Among them, the maximum diameter were ≤1 cm in 28 cases and >1 cm in 41 cases. Histopathological results showed carcinoma in situ in 24 cases and invasive carcinoma in 41 cases, positive expression of the estrogen receptor in 47 cases, positive expression of the progesterone receptor in 43 cases, Ki-67 proliferation index elevated in 26 cases. Axillary metastasis positive rate was 10.1% (7/69). Residual tumor after minimally invasive surgery was found in 39 cases (56.5%). Univariate analysis showed that the tumour residual group showed a significantly increased rate of positive expression of the estrogen receptor (91.9%(34/37) vs. 61.9%(13/21), χ2=7.838, P=0.012). In multivariate analysis, the only variable found to significantly affect the residual tumor was the positive expression of the estrogen receptor ( OR=16.852, 95% CI: 1.819 to 156.130, P=0.013). The 5-year disease-free survival rate of breast cancer patients with breast ultrasound BI-RADS 3 lesions was 97.1% and the overall survival rate was 98.6%. Conclusions:BI-RADS 3 lesions diagnosed by ultrasound undergoing ultrasound-guided minimally invasive excision have a certain risk of detected malignancy, approximately 1.66%. Patients with positive expression of the estrogen receptor are more likely to develop residual tumor. A secondary operation should be considered to ensure that no tumor residues remain in the cavity.

Objective:To study the diagnostic value of artificial intelligence B-ultrasound image computer-aided diagnosis system (hereinafter referred to as intelligent ultrasound system) in adult goiter.Methods:In June 2022 and March 2023, two phases of thyroid disease survey were carried out in 4 cities in Anhui Province. One village was selected in each city, and 250 adults were selected as survey subjects in each village. Adult bilateral thyroid area was scanned by both intelligent ultrasound system and conventional ultrasound scanning equipment, and the effectiveness of intelligent ultrasound system in the diagnosis of goiter was analyzed based on the results of conventional ultrasound examination. Receiver operating characteristic (ROC) curve was drawn, and Kappa test was used to analyze the consistency between intelligent ultrasound system and conventional ultrasound examination in the diagnosis of goiter. At the same time, Spearman correlation analysis and Bland-Altman method were used to evaluate the consistency of the two methods in measuring thyroid volume.Results:After screening and removing outliers and missing values, a total of 910 adults were included, including 253 males (27.80%) and 657 females (72.20%). The age was (45.92 ± 10.20) years old, ranging from 18 to 60 years old. The sensitivity, specificity, and accuracy of the intelligent ultrasound system for diagnosing adult goiter were 80.00%, 99.67%, and 99.56%, respectively. The area under the ROC curve (AUC) was 0.996, which was consistent with the results of conventional ultrasound examination for diagnosing goiter ( κ = 0.67, P < 0.001). After controlling for variables such as gender, thyroid function, and thyroid nodules, the intelligent ultrasound system showed good consistency with conventional ultrasound examination in the diagnosis of goiter in females, adults with thyroid dysfunction, and adults without thyroid nodules ( κ = 0.66, 0.80, 0.80, P < 0.001). The consistency in the diagnosis of goiter in adults with thyroid nodules was moderate ( κ = 0.56, P < 0.001). Spearman correlation analysis showed a highly positive correlation between the measurement results of adult thyroid volume by intelligent ultrasound system and conventional ultrasound examination ( r = 0.88, P < 0.001). The Bland-Altman method results showed that only 4.62% (42/910) of points in adults were outside the 95% consistency limit, indicating good consistency between intelligent ultrasound system and conventional ultrasound examination in measuring thyroid volume (< 5%). The proportion of points outside the 95% consistency limit in males, adults with thyroid dysfunction, and adults with thyroid nodules was 6.72% (17/253), 5.83% (12/206), and 6.45% (12/186), respectively. Conclusions:The intelligent ultrasound system has certain diagnostic value for adult goiter and has good consistency with conventional ultrasound examination for thyroid volume measurement. However, the accuracy of diagnosis for males and adults with thyroid nodules still needs to be improved.