OBJECTIVE To establish a closed-loop management system for the whole-process traceability of outpatient drugs based on internet of things （IoT） and blockchain technology， and evaluate its implementation effects. METHODS A closed-loop management system for the whole-process traceability of outpatient drugs covering the entire drug lifecycle was designed using drug traceability codes integrated with IoT and blockchain technology. System effectiveness was evaluated from three dimensions： work efficiency， medication management quality and data safety by comparing indicators such as the acceptance time of incoming drugs and the number of collected drug traceability codes before the system implementation （October to December 2024） and after the system implementation （January to March 2025）. RESULTS A closed-loop management system for the whole-process traceability of outpatient drugs， centered around the drug traceability code management system， was successfully established. The acceptance time for incoming drugs was shortened from （4.65±0.26） h before implementation to （0.34±0.08） h after implementation （P＜ 0.05）. The number of collected drug traceability codes increased from 419 018 to 1 236 522， and the coverage rate of traceability codes rose from 28.36% to 89.88% （P＜0.05）. The time pharmacists spent on drug expiry management per week decreased from （128.40±19.20） min to （0.56±0.13） min （P＜0.05）， and the dispensing time for a single prescription （excluding a part of injections and repackaged drugs） was reduced from （143.25±17.67） s to （15.24±10.08） s （P＜0.05）. The time for drug return was reduced from 129.90 （122.32， 137.00） s to 104.36 （89.91， 117.33） s（P＜0.05）； the number of drug dispensing errors decreased from 2 cases to 0 cases. After the system was launched， there were no data security incidents in our outpatient pharmacy. CONCLUSIONS The constructed closed-loop management system for the whole-process traceability of outpatient drugs can significantly enhance drug traceability accuracy and drug management quality， improve pharmacist work efficiency， and reduce drug management risks， thus providing a feasible solution for the digital transformation of hospital pharmaceutical services.

Soil cadmium pollution can adversely affect the cultivation of the ornamental plant, Coleus scutellarioides. Upon cadmium contamination of the soil, the growth of C. scutellarioides is impeded, and it may even succumb to the toxic accumulation of cadmium. In this study, we investigated the effects of arbuscular mycorrhizal fungi (AMF) on the adaptation of C. scutellarioides to cadmium stress, by measuring the physiological metabolism and the degree of root damage of C. scutellarioides, with Aspergillus oryzae as the test fungi. The results indicated that cadmium stress increased the activity of superoxide dismutase (SOD), peroxidase (POD), and catalase (CAT), and the content of malondialdehyde (MDA) and proline (Pro) within the cells of C. scutellarioides, but inhibited mycorrhizal infestation rate, root vigour and growth rate to a great degree. With the same cadmium concentration, the inoculation of AMF significantly improved the physiological indexes of C. scutellarioides. The maximum decrease of MDA content was 42.16%, and the content of secondary metabolites rosemarinic acid and anthocyanosides could be increased by up to 27.43% and 25.72%, respectively. Meanwhile, the increase of root vigour was as high as 35.35%, and the DNA damage of the root system was obviously repaired. In conclusion, the inoculation of AMF can promote the accumulation of secondary metabolites, alleviate root damage, and enhance the tolerance to cadmium stress in C. scutellarioides.
Cadmium/toxicity* ; Mycorrhizae/physiology* ; Plant Roots/drug effects* ; Soil Pollutants/toxicity* ; Stress, Physiological ; Superoxide Dismutase/metabolism*

Objective     To construct a radiomics model for identifying clinical high-risk carotid plaques. Methods     A retrospective analysis was conducted on patients with carotid artery stenosis in China-Japan Friendship Hospital from December 2016 to June 2022. The patients were classified as a clinical high-risk carotid plaque group and a clinical low-risk carotid plaque group according to the occurrence of stroke, transient ischemic attack and other cerebrovascular clinical symptoms within six months. Six machine learning models including eXtreme Gradient Boosting, support vector machine, Gaussian Naive Bayesian, logical regression, K-nearest neighbors and artificial neural network were established. We also constructed a joint predictive model combined with logistic regression analysis of clinical risk factors. Results    Finally 652 patients were collected, including 427 males and 225 females, with an average age of 68.2 years. The results showed that the prediction ability of eXtreme Gradient Boosting was the best among the six machine learning models, and the area under the curve (AUC) in validation dataset was 0.751. At the same time, the AUC of eXtreme Gradient Boosting joint prediction model established by clinical data and carotid artery imaging data validation dataset was 0.823. Conclusion     Radiomics features combined with clinical feature model can effectively identify clinical high-risk carotid plaques.

Ruxolitinib， a small molecule inhibitor， selectively targets Janus kinase （JAK） by competitively binding to adenosine triphosphate on the catalytic site of the JAK1 and JAK2 domain， thereby inhibiting JAK activation and signal transducer and activator of transcription （STAT） phosphorylation and prevents the expressions of the JAK-STAT signaling pathway. Oral ruxolitinib has demonstrated promising efficacy for myelofibrosis and polycythemia vera. The topical Ruxolitinib cream， approved by the US FDA as the first non-segmental vitiligo home treatment drug， is set to be launched in domestic medical pioneer areas in August 2023 and is expected to bring about a breakthrough in the treatment of vitiligo. Clinical cases have also shown that Ruxolitinib cream has significant curative effects on atopic dermatitis， alopecia areata， and other conditions， indicating great application prospects.

Objective:To establish the reference values and growth curves of skeletal muscle mass among children in the Nanjing area.Methods:A cross-sectional study was conducted with children who underwent physical examination at the Department of Child Health Care, Children′s Hospital of Nanjing Medical University from 2020 January to 2022 September. Their height, weight, body fat mass and skeletal muscle mass were measured. Body mass index, percentage of body fat mass, percentage of skeletal muscle mass, relative skeletal muscle mass index and the ratio of skeletal muscle to body fat were calculated. The associations between skeletal muscle mass indices and physical measurements index were analyzed through the Spearman correlation test. The Mann-Kendall test was used to assess the trend for skeletal muscle mass. Generalized additive models for location, scale and shape were used to construct percentile reference values and growth curves of male and female skeletal muscle mass indices at different ages.Results:A total of 32 690 children aged 4-14 years were enrolled in this study, including 19 912 boys (60.91%). Skeletal muscle mass, percentage of skeletal muscle mass, relative skeletal muscle mass index and the ratio of skeletal muscle to body fat of boys and girls was 11.10 (8.40, 14.90) and 10.30 (7.90, 13.20) kg, 40.36% (37.01%, 43.13%) and 39.38% (36.43%, 41.88%), 6.70 (6.07, 7.52) and 6.33 (5.79, 7.00), 2.39 (1.46, 3.47) and 2.14 (1.45, 3.00) kg/m 2, respectively. Skeletal muscle mass of both boys and girls was all positively associated with weight ( r=0.97, 0.96), body mass index ( r=0.68, 0.63) and percentage of body fat mass ( r=0.40, 0.43) (all P<0.01). The reference values and growth curves showed that the percentage of skeletal muscle mass P50 ranged from 37.75%-44.61% in boys and from 36.22%-40.55% in girls. The relative skeletal muscle mass index P50 ranged from 5.80-9.68 kg/m 2 in boys and from 5.57-7.98 kg/m 2 in girls. The ratio of skeletal muscle to body fat P50 ranged from 1.86-2.67 in boys and from 1.29-2.41 in girls. There was an increasing trend with age for both boys and girls in the growth of skeletal muscle mass ( Z=4.20, 3.75, both Ptrend<0.01), and increased slightly before 9 years of age and then increased rapidly until 14 years of age in both boys and girls. Conclusions:The skeletal muscle mass indices change with age and gender during childhood. Percentile reference values for pediatric skeletal muscle mass indices can be used to evaluate the muscular growth and development in children in the Nanjing area.

Objective:To investigate the predictive value of neck circumference on cardiometabolic risk in children.Methods:This was a cross-sectional study of natural sources. As the prediction cohort, clinical data were collected from 3 443 children aged 5-14 years who underwent physical examination in the Department of Child Healthcare, Children′s Hospital of Nanjing Medical University from July 2021 to September 2022. As the validation cohort for external validation, clinical data were collected from 604 children aged 5-14 years who underwent physical examination in the Department of Child Healthcare, Children′s Hospital of Nanjing Medical University from October 2022 to March 2023. Height, weight, neck circumference, waist circumference and body composition were measured in both groups, and body mass index, neck circumference to height ratio (NHtR), waist circumference to height ratio, body fat percentage and skeletal muscle percentage were calculated. Systolic blood pressure, diastolic blood pressure, fasting blood glucose, blood lipid and uric acid and other cardiovascular and metabolic risk indicators were collected in both groups. The prediction cohort was further stratified into clustered and non-clustered groups based on the clustering of cardiometabolic risk factors (CCRF). Various variables between these 2 groups were compared using the Mann-Whitney U test. Pearson correlation and binary Logistic regression were conducted to investigate the correlations between neck circumference and cardiovascular metabolic risk factors. The accuracy of NHtR in predicting the CCRF was evaluated using the area under the curve (AUC) of receiver operating characteristic (ROC). The cutoff value was determined using the Youden index. The validation cohort was then divided into groups above and below the cutoff value, and the detection rate of CCRF between the 2 groups was compared using the χ2 test for validation .Results:In the prediction cohort of 3 443 children (2 316 boys and 1 127 girls), 1 395 (40.5%) children were overweight or obese, and 1 157 (33.6%) children had CCRF. Pearson correlation analysis revealed all significant positive correlations (all P<0.01) between neck circumference and systolic blood pressure ( r=0.47, 0.39), diastolic blood pressure ( r=0.27, 0.21), uric acid ( r=0.36, 0.30), and triglycerides ( r=0.20, 0.20) after adjusting for age in both males and females. Among both males and females, neck circumference both showed significant negative correlation (both P<0.01) with high-density lipoprotein cholesterol ( r=-0.27, -0.28), and no correlation with fasting glucose levels ( r=0.03, -0.03, both P>0.05). After adjusting for gender, age, and body fat percentage, increased body mass index, neck circumference, or waist circumference increased the risks of hypertension ( OR=1.23, 1.39, 1.07, all P<0.001), hyperuricemia ( OR=1.16, 1.23, 1.05, all P<0.001), hypertriglyceridemia ( OR=1.08, 1.16, 1.02, all P<0.01), low high-density lipoprotein cholesterol ( OR=1.10, 1.27, 1.03, all P<0.01), and the CCRF ( OR=1.51, 1.73, 1.15, all P<0.01). The areas under the ROC curves of NHtR in predicting CCRF was 0.73, with sensitivity and specificity at 0.66 and 0.71, respectively. The corresponding optimal cut-off value was 0.21. Validation with 604 children confirmed that the detection of CCRF in the NHtR≥0.21 group was 3.29 times (60.5% (112/185) vs. 18.7% (79/422), χ2=107.82, P<0.01) higher compared to the NHtR <0.21 group. Conclusions:Neck circumference is associated with cardiovascular metabolic risks such as hypertension, hyperlipidemia, hyperglycemia, and hyperuricemia in children. When the NHtR is ≥0.21, there is an increased likelihood of CCRF.

Objective     To identify the preoperative risk factors for prolonged mechanical ventilation (PMV) after pulmonary thromboendarterectomy (PTE). Methods    The clinical data of patients who underwent PTE from December 2016 to August 2021 in our hospital were retrospectively analyzed. The patients were divided into two groups according to the postoperative mechanical ventilation time, including a postoperative mechanical ventilation time≤48 h group (≤48 h group) and a postoperative mechanical ventilation time>48 h (PMV) group (>48 h group). Univariable and logistic regression analysis were used to identify the preoperative risk factors for postoperative PMV. Results    Totally, 90 patients were enrolled in this study. There were 40 patients in the ≤48 h group, including 30 males and 10 females, with a mean age of 45.48±12.72 years, and there were 50 patients in the >48 h group, including 29 males and 21 females, with a mean age of 55.50±10.42 years. The results showed that in the ≤48 h group, the median postoperative ICU stay was 3.0 days, and the median postoperative hospital stay was 15.0 days; in the >48 h group, the median postoperative ICU stay was 7.0 days, and the median postoperative hospital stay was 20.0 days. The postoperative PMV was significantly correlated with tricuspid annular plane systolic excursion (TAPSE) [OR=0.839, 95%CI (0.716, 0.983), P=0.030], age [OR=1.082, 95%CI (1.034, 1.132), P=0.001] and pulmonary vascular resistance (PVR) [OR=1.001, 95%CI (1.000, 1.003), P=0.028]. Conclusion    Age and PVR are the preoperative risk factors for PMV after PTE, and TAPSE is the preoperative protective factor for PMV after PTE.

OBJECTIVE: To explore the genetic basis for a rare case with Disorder of sex development. METHODS: Clinical data of the patient was collected. Chromosomal karyotyping, SRY gene testing, whole exome sequencing (WES), low-coverage massively parallel copy number variation sequencing (CNV-seq), fluorescence in situ hybridization (FISH), and whole genome sequencing (WGS) were carried out. RESULTS: The patient, a 14-year-old female, had manifested short stature and dysplasia of second sex characteristics. She was found to have a 46,XY karyotype and positive for the SRY gene. No pathogenic variant was found by WES, except a duplication at Yp11.32q12. The result of CNV-seq was 47,XYY. FISH has confirmed mosaicism for a dicentric Y chromosome. A 23.66 Mb duplication on Yp11.32q11.223 and a 5.16 Mb deletion on Yq11.223q11.23 were found by WGS. The breakpoint was mapped at chrY: 23656267. The patient's karyotype was ultimately determined as 46,X,psu idic(Y)(q11.223)/46,X,del(Y)(q11.223). CONCLUSION The combination of multiple methods has facilitated clarification of the genetic etiology in this patient, which has provided a reference for the clinical diagnosis and treatment.
Female ; Humans ; Adolescent ; DNA Copy Number Variations ; In Situ Hybridization, Fluorescence ; Y Chromosome ; Sexual Development ; Mosaicism

Recurrent aphthous ulcer (RAU) is one of the most common diseases of the oral mucosa. At present, no effective method is available for RAU treatment, especially for refractory RAU, which significantly affects patients’ oral health and quality of life. Research shows that combination with systemic diseases greatly increases the difficulty of curing refractory RAU, making conventional oral ulcer treatment harder to perform effectively. This is probably because dentists commonly only focus on handling oral ulcers but neglect to think about the etiology of oral ulcers from a holistic perspective. Thus, we summarized some conditions of refractory RAU accompanied by systemic diseases, including inflammatory bowel disease, iron deficiency anemia, diabetes mellitus, Behçet’s disease, Reiter’s syndrome, sprue syndrome, Sutton syndrome, and acquired immunodeficiency syndrome. We also outlined the treatment principles of these patients. To be specific, on the one hand, dentists should cooperate with the relevant specialists to treat the systemic diseases, while on the other hand they should take measures including topical/general use of medicine, local physical therapy, Traditional Chinese medicine treatment, and psychotherapy for RAU management. This paper aims to provide clinicians with a more comprehensive understanding of the diagnosis and treatment of refractory RAU, in order to make personalized treatment plans for patients and improve the clinical efficacy of refractory RAU.

Objective:To investigate the difference in left ventricular dysfunction between type 2 diabetes mellitus (T2DM) patients with hyperlipidemia and those without hyperlipidemia, and analyze the application value of three-dimensional speckle tracking technology.Methods:The clinical data of 70 patients with T2DM admitted to Heji Hospital Affiliated to Changzhi Medical College from January 2020 to June 2021 were retrospectively analyzed. Among these patients, 35 patients had hyperlipidemia and 35 patients had no hyperlipidemia. At the same time, 40 healthy subjects who concurrently underwent health checkups in the same hospital were included as healthy controls. All subjects underwent routine cardiac ultrasound and 3D-STE examinations. General clinical information and left ventricular function-related parameters, including global longitudinal strain, global circumferential strain, global area strain, and global radial strain were compared between healthy controls and T2DM patients with hyperlipidemia and those without hyperlipidemia.Results:The proportion of left ventricular remodeling increased in T2DM patients without hyperlipidemia, and the proportion of left ventricular hypertrophy was the highest in T2DM patients with hyperlipidemia. Global longitudinal strain and global circumferential strain in T2DM patients without hyperlipidemia were (-16.97 ± 2.59)% and (-17.41 ± 2.50)%, respectively, which were significantly higher than (-18.86 ± 2.46)% and (-18.71 ± 2.92)% in healthy controls ( t = 0.95, 0.57, both P < 0.05). Global longitudinal strain, global circumferential strain, and global area strain in T2DM patients with hyperlipidemia were (-14.98 ± 3.15)%, (-15.80 ± 3.16)%, (-27.17 ± 4.54)%, respectively, which were significantly higher than (-18.86 ± 2.46)%, (-18.71 ± 2.92)%, (-30.62 ± 4.02)% in healthy controls ( t = 0.46, 1.37, 0.98, all P < 0.05) and (-16.97 ± 2.59)%, (-17.41 ± 2.50)%, (-30.06 ± 3.59)% in T2DM patients without hyperlipidemia ( t = 0.37, 1.02, 0.77, all P < 0.05). Global radial strain in T2DM patients with hyperlipidemia was significantly higher than [(51.49 ± 8.94)%, t = 1.35, P < 0.05] in healthy controls and [(47.71± 8.46)%, t = 0.98, P < 0.05] in T2DM patients without hyperlipidemia. In patients with T2DM, fasting blood glucose and hyperlipidemia were independently correlated with all strain-related parameters. Conclusion:Hyperlipidemia can aggravate left ventricular remodeling and dysfunction in patients with T2DM and 3D-STE is one of the examination methods for subclinical left ventricular remodeling and dysfunction in T2DM patients with or without hyperlipidemia.