Aim To investigate the effect of recombi-nant glycoprotein hormone β5/α2(rCGH)on lipolysis in 3T3-L1 adipocytes,and explore the underlying mechanism.Methods 3T3-L1 preadipocytes were cultured and induced to differentiate into mature adipo-cytes,then treated with different concentrations of rCGH for 24 h in vitro.Cell viability of 3T3-L1 adipo-cytes was evaluated by CCK-8 assay,the levels of in-tracellular triglyceride(TG)and glycerol in the culture supernatant were measured by enzymatic method,and the changes of lipid droplets were observed by oil red O staining.The expression levels of HSL and ATGL lipo-lytic proteins in adipocytes were detected by Western blot.To carry out the intervention experiment with dif-ferent concentrations of rCGH with or without the PKA inhibitor,H89,on the mature 3T3-L1 adipocytes,the cultured cells were divided into the control group,H89 pre treatment group,1 μmol·L-1 rCGH group,and(1 μmol·L-1 rCGH+H89)combined intervention group.The contents of intracellular TG and free glycer-ol were measured by enzymatic method,and the ex-pression of CREB and lipolysis-related proteins was de-tected using Western blot.Results Different concen-trations of rCGH(0.25,0.5,1,and 2 μmol·L-1)had no significant effect on the cell viability of adipo-cytes(P＞0.05).Compared with the control group,the treatment with rCGH significantly decreased the size of lipid droplets and intracellular TG content,while significantly elevated glycerol concentration in cell supernatant.rCGH treatment also stimulated the protein expression of p-HSL,ATGL,and p-PKA.In addition,the addition of a PKA inhibitor,H89,atten-uated the effects of rCGH on free glycerol level,intra-cellular TG content,and the expression of p-HSL,p-PLIN1,and p-CREB.Conclusions rCGH enhances the lipolysis of 3T3-L1 adipocytes by up-regulating the activities of HSL,ATGL and PKA,promoting glycerol release,inhibiting TG synthesis and lipid accumula-tion,and its mechanism of action is related to the acti-vation of cAMP/PKA/CREB signaling pathway.

Objective:To analyze the application value of MCV,MCH and HbA2 in screening for thalassemia in the population of childbearing age in Quanzhou area,and to determine the optimal screening cut-off value of relevant indicators in this area. Methods:2725 couples of childbearing age were included in the study and underwent routine blood test,capillary hemoglobin electrophoresis,and α and β thalassemia gene test. Statistical methods were used to analyze the distribution of thalassemia genotypes,and compare the performance of MCV,MCH,and HbA2 in screening various types of thalassemia. According to the ROC curve,the best cut-off values of MCV,MCH and HbA2 in screening for thalassemia in this area were determined. Results:In this study,a total of 1801 thalassemia carriers were detected,including 1341 cases of α-thalassemia,420 cases of β-thalassemia,and 40 cases of αβ compound thalassemia. The most common genotypes of α-thalassemia and β-thalassemia were--SEA/αα and β654/βN,respectively. ROC curves were drawn to evaluate the performance of MCV,MCH and HbA2 in screening for α-thalassemia,mild β-thalassemia,αβ compound thalassemia,silent α-thalassemia,mild α-thalassemia,and intermediate α-thalassemia. The maximum areas under the curves (AUC) were 0.747,0.865,0.724,0.486,0.812,0.841;0.747,0.846,0.703,0.479,0.796,0.903;0.613,0.980,0.909,0.465,0.674,0.996,respectively;and the best cut-off values corresponding to the three screening indicators were 76.15fl,71.95fl,77.35fl,86.15fl,75.41fl,61.15fl;24.35pg,21.51pg,25.45pg,28.65pg,24.01pg,20.51pg;2.45％,3.05％,3.55％,3.25％,2.45％,1.65％,respectively. Conclusion:The levels of MCV,MCH and HbA2 are correlated with the phenotype of thalassemia,and the detection of these indicators is of great significance for the prevention and control of thalassaemia.

Objective To explore the characteristic categories of presenteeism among ICU nurses and analyse the influencing factor.Methods A convenience sampling method was adopted to select 391 ICU nurses as the study subjects from four Grade IIIA hospitals in Zhejiang Province in May 2023.A general information questionnaire,the Stanford presenteeism scale-6,and Maslach burnout inventor were used in the survey.R language was used for latent profile analysis,and univariate analysis and multinomial logistic regression analysis were employed to explore the influencing factors of the latent profiles.Results A total of 391 ICU nurses completed the survey,with the score of presenteeism at 16.10±4.64,which was at medium level.The score of presenteeism was further divided into four latent classes:low work limitation-low work energy type accounted for 13.04%,high work limitation-moderate work energy type accounted for 24.55%,low work limitation-high work energy type accounted for 4.86%,moderate work limitation-moderate work energy type accounted for 57.55%.The influencing factors include average monthly income,the score of emotional exhaustion and personal fulfillment dimensions in job burnout(all P<0.05).Conclusion The incidence of presenteeism among the ICU nurses has distinctive classification characteristics.Based on the identified influencing factors,nursing managers should provide individualised interventions to the ICU nurses with different latent profiles of characteristic categories to reduce the presenteeism among the nurses and thereby to improve the quality of nursing services.

Objective To explore the prediction of hospital indoor microbial concentration in air based on real-time indoor air environment monitoring data and machine learning algorithms.Methods Four locations in a hospital were selected as monitoring sampling points from May 23 to June 5,2022.The"internet of things"sensor was used to monitor a variety of real-time air environment data.Air microbial concentration data collected at each point were matched,and the gradient boosting decision tree(GBDT)was used to predict real-time indoor microbial concentra-tion in air.Five other common machine learning models were selected for comparison,including random forest(RF),decision tree(DT),k-nearest neighbor(KNN),linear regression(LR)and artificial neural network(ANN).The validity of the model was verified by the mean absolute error(MAE),root mean square error(RMSE)and mean absolute percentage error(MAPE).Results The MAPE value of GBDT model in the outpa-tient elevator room(point A),bronchoscopy room(point B),CT waiting area(point C),and nurses'station in the supply room(point D)were 22.49％,36.28％,29.34％,and 26.43％,respectively.The mean performance of the GBDT model was higher than that of other machine learning models at three sampling points and slightly lower than that of the ANN model at only one sampling point.The mean MAPE value of GBDT model at four sampling points was 28.64％,that is,the predicted value deviated from the actual value by 28.64％,indicating that GBDT model has good prediction results and the predicted value was within the available range.Conclusion The GBDT machine learning model based on real-time indoor air environment monitoring data can improve the prediction accuracy of in-door air microbial concentration in hospitals.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

The COVID-19 epidemic has spread to the whole world for three years and has had a serious impact on human life, health and economic activities. China's epidemic prevention and control has gone through the following stages: emergency unconventional stage, emergency normalization stage, and the transitional stage from the emergency normalization to the "Category B infectious disease treated as Category B" normalization, and achieved a major and decisive victory. The designated hospitals for prevention and control of COVID-19 epidemic in Tianjin has successfully completed its tasks in all stages of epidemic prevention and control, and has accumulated valuable experience. This article summarizes the experience of constructing a hospital infection prevention and control system during the "Category B infectious disease treated as Category A" period in designated hospital. The experience is summarized as the "Cluster" hospital infection prevention and control system, namely "three rings" outside, middle and inside, "three districts" of green, orange and red, "three things" before, during and after the event, "two-day pre-purification" and "two-director system", and "one zone" management. In emergency situations, we adopt a simplified version of the cluster hospital infection prevention and control system. In emergency situations, a simplified version of the "Cluster" hospital infection prevention and control system can be adopted. This system has the following characteristics: firstly, the system emphasizes the characteristics of "cluster" and the overall management of key measures to avoid any shortcomings. The second, it emphasizes the transformation of infection control concepts to maximize the safety of medical services through infection control. The third, it emphasizes the optimization of the process. The prevention and control measures should be comprehensive and focused, while also preventing excessive use. The measures emphasize the use of the least resources to achieve the best infection control effect. The fourth, it emphasizes the quality control work of infection control, pays attention to the importance of the process, and advocates the concept of "system slimming, process fattening". Fifthly, it emphasizes that the future development depends on artificial intelligence, in order to improve the quality and efficiency of prevention and control to the greatest extent. Sixth, hospitals need to strengthen continuous training and retraining. We utilize diverse training methods, including artificial intelligence, to ensure that infection control policies and procedures are simple. We have established an evaluation and feedback mechanism to ensure that medical personnel are in an emergency state at all times.

OBJECTIVE: To investigate the factors related to renal impairment in patients with diabetic kidney disease (DKD) from the perspective of integrated Chinese and Western medicine. METHODS: Totally 492 patients with DKD in 8 Chinese hospitals from October 2017 to July 2019 were included. According to Kidney Disease Improving Global Outcomes (KDIGO) staging guidelines, patients were divided into a chronic kidney disease (CKD) 1-3 group and a CKD 4-5 group. Clinical data were collected, and logistic regression was used to analyze the factors related to different CKD stages in DKD patients. RESULTS: Demographically, male was a factor related to increased CKD staging in patients with DKD (OR=3.100, P=0.002). In clinical characteristics, course of diabetes >60 months (OR=3.562, P=0.010), anemia (OR=4.176, P<0.001), hyperuricemia (OR=3.352, P<0.001), massive albuminuria (OR=4.058, P=0.002), atherosclerosis (OR=2.153, P=0.007) and blood deficiency syndrome (OR=1.945, P=0.020) were factors related to increased CKD staging in patients with DKD. CONCLUSIONS Male, course of diabetes >60 months, anemia, hyperuricemia, massive proteinuria, atherosclerosis, and blood deficiency syndrome might indicate more severe degree of renal function damage in patients with DKD. (Registration No. NCT03865914).
Humans ; Male ; Diabetes Mellitus, Type 2 ; Diabetic Nephropathies ; Hyperuricemia ; Kidney ; Proteinuria ; Renal Insufficiency, Chronic/complications*

AIM: To investigate the impact of meteorological factors in different environments in the eastern and western regions of China on the incidence of lipid-abnormal dry eye.METHODS: This is a multicenter retrospective study. From March 1, 2021 to February 28, 2022, all patients with dry eye were selected from the ophthalmology clinic of Nanjing Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese Medicine and Friendship Hospital of Xinjiang Yili Kazakh Autonomous Prefecture. General data(gender, age, employment and education)and climate data for outdoor environments(temperature, humidity, air quality index and wind)on the day of the visit were collected. Patients who met the inclusion and exclusion criteria were selected. Single factor, multiple factors and nonlinear model analysis were applied to identify environmental factors of lipid-abnormal dry eye in both regions.RESULTS: There was no significant difference in the incidence of lipid-abnormal dry eye between Nanjing and Yili in different seasons. The incidence of lipid-abnormal dry eye in Yili was significantly higher in all seasons than in Nanjing(P<0.001). The results of univariate research showed that the factors affecting the incidence of lipid-abnormal dry eye were gender, employment, humidity, air quality, and wind. The results of multivariate Logistic regression analysis showed that humidity, temperature and air quality were statistically significant, and remained significant after adjusting for the three confounding factors of age, gender and employment situation. Nonlinear analysis showed that the probability of lipid-abnormal dry eye increased with the decrease of temperature when the temperature was below 10℃; within the range of 10℃～15℃, the probability of lipid-abnormal dry eye tended to stabilize. When the temperature exceeded 15℃, the probability of lipid-abnormal dry eye increased with the increase of temperature. Humidity was negatively correlated with the onset of lipid-abnormal dry eye. As humidity increased, the probability of lipid-abnormal dry eye decreased.CONCLUSIONS: The risk of lipid-abnormal dry eye in Yili is higher than that in Nanjing throughout the four seasons. Humidity, temperature, air quality and other environmental and meteorological factors can all affect the incidence of lipid-abnormal dry eye.

Objective:To investigate the epidemiological characteristics of lower extremity deep vein thrombosis (DVT) in patients with femoral fracture.Methods:Retrospectively analyzed were the data of 2,571 patients with femoral fracture who had been treated at the Third Hospital of Hebei Medical University from January 2019 to December 2019. There were 1,079 males and 1,492 females, aged from 14 to 96 years (average, 67.1 years). There were 1,158 femoral neck fractures, 951 femoral intertrochanteric fractures, 309 femoral shaft fractures, and 153 femoral condylar fractures. 2,414 patients were treated surgically while 157 patients non-surgically. Color Doppler ultrasonography of both lower extremities was performed to determine the occurrence of DVT before operation and every week after operation for patients undergoing surgical treatment, and within 48 hours after admission and every week during hospitalization for those undergoing non-surgical treatment. The incidence and location of DVT were recorded for different femoral fractures.Results:The incidence of DVT in this cohort was 35.5%(913/2,517), that of proximal DVT 5.3%(135/2,571), and that of distal DVT 30.3% (778/2,571). In patients with femoral neck fracture, femoral intertrochanteric fracture, femoral shaft fracture and femoral condylar fracture, the incidence of DVT was respectively 28.8% (334/1,158), 44.7% (425/951), 30.7% (95/309) and 38.6% (59/153), the incidence of proximal DVT was respectively 2.7% (31/1,158), 5.6%(53/951), 9.7% (30/309) and 13.7% (21/153), and the incidence of distal DVT was respectively 26.2% (303/1,158), 39.1% (372/951), 21.0% (65/309) and 24.8%(38/153). The incidence of DVT in the femoral vein and above, popliteal vein, tibiofibular vein and intermuscular vein in this cohort was respectively 2.3%(60/2,571), 2.9%(75/2,571), 6.4%(165/2,571) and 23.8%(613/2,571).Conclusions:The incidence of DVT may be high in patients with femoral fracture, and the proximal DVT with a high risk of pulmonary embolism may occur more in patients with femoral condylar fracture.

OBJECTIVES: To study the characteristics of amino acid metabolism in preterm infants in Guangxi, China. METHODS: A retrospective analysis was performed on the medical data of 30 757 neonates who underwent the screening for inherited metabolic diseases and had negative results in Guangxi Neonatal Disease Screening Center from 2018 to 2020. Among these neonates, there were 28 611 normal full-term infants (control group) and 2 146 preterm infants (preterm birth group). According to gestational age, the preterm infants were further divided into four groups: very preterm (n=209), moderately preterm (n=307), and late preterm group (n=1 630). According to birth weight, they were divided into three groups: very low birth weight group (n=161), low birth weight group (n=1 085), and normal birth weight group (n=900). According to blood collection time, they were divided into three groups: 3-7 days group (n=1 664), 8-14 days group (n=314) and 15-28 days group (n=168). Tandem mass spectrometry was performed to measure the levels of 11 amino acids in dried blood spots, which were then compared between groups. RESULTS: After adjustment for confounding factors, there were significant differences in the levels of 11 amino acids among different gestational age groups (P<0.05), and significant differences were observed in the levels of the 11 amino acids between the control group and the various preterm groups (except for citrulline and methionine in the late preterm group). There were significant differences in the levels of 11 amino acids among different birth weight groups (P<0.05). Except for ornithine, there were significant differences in the levels of other amino acids among the different blood collection time groups (P<0.05). CONCLUSIONS Gestational age, birth weight and blood collection time all affect amino acid metabolism in preterm infants in Guangxi, China. This provides a basis for the laboratory to establish the reference standard and clinical interpretation of blood amino acid levels in preterm infants, and to improve the nutritional metabolism of preterm infants.
Amino Acids ; China ; Gestational Age ; Humans ; Infant ; Infant, Newborn ; Infant, Premature ; Infant, Very Low Birth Weight ; Premature Birth ; Retrospective Studies