Electromagnetic fields can regulate the fundamental biological processes involved in bone remodeling. As a non-invasive physical therapy, electromagnetic fields with specific parameters have demonstrated therapeutic effects on bone remodeling diseases, such as fractures and osteoporosis. Electromagnetic fields can be generated by the movement of charged particles or induced by varying currents. Based on whether the strength and direction of the electric field change over time, electromagnetic fields can be classified into static and time-varying fields. The treatment of bone remodeling diseases with static magnetic fields primarily focuses on fractures, often using magnetic splints to immobilize the fracture site while studying the effects of static magnetic fields on bone healing. However, there has been relatively little research on the prevention and treatment of osteoporosis using static magnetic fields. Pulsed electromagnetic fields, a type of time-varying field, have been widely used in clinical studies for treating fractures, osteoporosis, and non-union. However, current clinical applications are limited to low-frequency, and research on the relationship between frequency and biological effects remains insufficient. We believe that different types of electromagnetic fields acting on bone can induce various “secondary physical quantities”, such as magnetism, force, electricity, acoustics, and thermal energy, which can stimulate bone cells either individually or simultaneously. Bone cells possess specific electromagnetic properties, and in a static magnetic field, the presence of a magnetic field gradient can exert a certain magnetism on the bone tissue, leading to observable effects. In a time-varying magnetic field, the charged particles within the bone experience varying Lorentz forces, causing vibrations and generating acoustic effects. Additionally, as the frequency of the time-varying field increases, induced currents or potentials can be generated within the bone, leading to electrical effects. When the frequency and power exceed a certain threshold, electromagnetic energy can be converted into thermal energy, producing thermal effects. In summary, external electromagnetic fields with different characteristics can generate multiple physical quantities within biological tissues, such as magnetic, electric, mechanical, acoustic, and thermal effects. These physical quantities may also interact and couple with each other, stimulating the biological tissues in a combined or composite manner, thereby producing biological effects. This understanding is key to elucidating the electromagnetic mechanisms of how electromagnetic fields influence biological tissues. In the study of electromagnetic fields for bone remodeling diseases, attention should be paid to the biological effects of bone remodeling under different electromagnetic wave characteristics. This includes exploring innovative electromagnetic source technologies applicable to bone remodeling, identifying safe and effective electromagnetic field parameters, and combining basic research with technological invention to develop scientifically grounded, advanced key technologies for innovative electromagnetic treatment devices targeting bone remodeling diseases. In conclusion, electromagnetic fields and multiple physical factors have the potential to prevent and treat bone remodeling diseases, and have significant application prospects.

Objective To analyze the pathogenic characteristics and drug sensitivity of candidaemia,and construct a short-term mortality risk prediction scoring model.Methods The clinical data of patients with candidaemia admitted to the 909 Hospital of Joint Logistics Support Force from January 2011 to December 2020 were retrospectively analyzed,and the composition of pathogen composition,drug sensitivity test results and incidence of hospitalized patients were analyzed.324 cases of candidaemia were randomly divided into modeling group(190 cases)and validation group(134 cases),and the risk factors were screened by binary logistic regression.According to the odds ratio(OR)score,the 30 day mortality risk prediction scoring model was constructed,and the predictive performance of the model was verified both in modeling and validation groups.Results 356 strains of Candida including 126 strains of C.albicans(35.39%),79 strains of C.tropicalis(22.19%),74 strains of C.parapsilosis(20.79%),48 strains of C.glabrata(13.48%),14 strains of C.guilliermondii(3.93%),8 strains of C.krusei(2.25%),and 7 strains of other Candida(1.97%)were detected in 336 patients with candidemia.The incidence of candidaemia among hospitalized patients increased from 0.20 ‰ in 2011 to 0.48 ‰ in 2020.The resistance rate of candida to amphotericin B was significantly lower than that of fluconazole,voriconazole and itraconazole(P＜0.05).Among the 324 cases included in the model,95 patients died in 30 days after diagnosis,and the mortality rate was 29.32%.The proportion of males,fever,and parenteral nutrition in modeling group was significantly higher than that in validation group(P＜0.05),while the proportion of chronic lung disease and surgical history within one month were lower than those in validation group(P＜0.05).Logistic regression analysis showed that chronic renal failure,mechanical ventilation,severe neutropenia,failure to receive anti-fungal treatment within 72 hours,and APACHE Ⅱ≥20 were risk factors for short-term death of candidaemia,the OR values were 3.179,1.970,2.979,2.080,and 2.399,and the risk scores were 6,4,6,4,and 5,respectively.The area under the curve(AUC)of the risk scoring model for modeling group was 0.792(95%CI 0.721-0.862),and the result of Hosmer-Lemeshow(H-L)test was P=0.305;The AUC of validation group was 0.796(95%CI 0.735-0.898),and the H-L test result was P=0.329.A risk score≤8 indicated a low risk group for short-term mortality,a score of 9-15 indicated a medium risk group,and a score≥16 indicated a high risk group.Conclusions The incidence of candidemia in hospitalized patients is increasing and the mortality is high.The risk prediction score model can effectively predict the short-term prognosis and facilitate the early identification of the prognosis.

Objective:To summarize the clinical characteristics and pathogenic mutation of gene NUDT2 in the child with intellectual disability with or without peripheral neuropathy (IDDPN). Methods:The clinical characteristics and development of one child attending the Department of Rehabilitation of Tianjin Children's Hospital were evaluated retrospectively,and the relationship between the clinical phenotype and gene mutation profile of NUDT2 was analyzed. Results:The child had global developmental delay, special appearance, low muscle tone of the limbs, accompanied by peripheral nerve damage in the limbs, and whole exome sequencing found that the child carried a homozygous mutation of NUDT2 gene, c.34C>T (p.R12X), which was a nonsense mutation. Sanger verified that both parents were carriers of c.34C>T heterozygous mutations. In the inclusion of 10 registered IDDPN patients, it was found that all of them were homozygous mutations, and the clinical phenotypes all had different degrees of cognitive impairment and movement disorders, among which only 3 cases were complicated by peripheral nerve damage. Conclusions:The child in this case had low birth weight/length, weak sucking ability in infancy, cognitive impairment, peripheral nerve damage, and genetic testing showed homozygous nonsense mutation of NUDT2 gene, which provided evidence support for the clinical understanding of the disease.

Objective To analyze the effects of probiotics combined with montmorillonite powder on intestinal mucosa and expressions of intestinal microorganism function-related genes in neonatal rats with rotavirus(RV)infection.Methods RV infection model was established by intragastric administration of SA11 strain rotavirus.Forty-eight suckling rats were randomly divided into normal group(0.9％NaCl),model group(0.9％NaCl),experimental group(0.06 g·mL-1 montmorillonite powder)and combined group(0.06 g·mL-1 montmorillonite powder+6.5 × 107 CFU·mL-1 Saccharomyces cerevisiae powder)with 12 rats in each group.The feces were collected for evaluation.The levels of serum tumor necrosis factor-a(TNF-a),interleukin-1 β(IL-1 β)and IL-17 were detected by enzyme-linked immunosorbent assay,the levels of aquaporin(AQP)in intestinal tissues was detected by real-time fluorescence quantitative polymerase chain reaction,and the counts of Bifidobacteria and Escherichia coli in feces were detected by bacterial 16srDNA fluorescence quantitative polymerase chain reaction.Results The feces scores in normal,model,experimental and combined groups were(1.01±0.10),(2.97±0.08),(2.84±0.03)and(2.77±0.03)points;TNF-α levels were(132.54±14.63),(185.66±19.64),(165.25±17.63)and(149.95±15.76)pg·mL-1;IL-1β levels were(172.32±18.68),(265.34±27.72),(202.34±21.34)and(186.24±19.46)pg·mL-1;IL-17 levels were(118.62±12.44),(173.24±18.25),(152.32±16.72)and(122.54±13.58)pg·mL-1;Bifidobacteria counts were(6.35±0.64),(4.31±0.44),(4.93±0.50)and(5.34±0.54)CFU·g-1;Escherichia coli counts were(6.14±0.62),(8.78±0.88),(8.46±0.85)and(8.12±0.83)CFU·g-1;mRNA levels of AQP2 were 1.02±0.05,0.72±0.07,0.89±0.08 and 1.21±0.12;mRNA expression levels of AQP4 were 1.04±0.07,0.42±0.05,0.78±0.08 and 1.19±0.12;mRNA expression levels ofAQP8 were 1.00±0.06,0.63±0.06,0.91±0.09 and 1.30±0.13,respectively.There were significant differences of above indexes between the model group with the normal,experimental and combined groups(all P＜0.05).Conclusion Montmorillonite powder combined with probiotics can improve fecal properties,reduce serum inflammatory factors and correct intestinal flora disorders in neonatal rats with RV infection,which may be related to improving the expressions of intestinal A QP2,AQP4 and AQP8.

Objective:To investigate the role and molecular mechanism of sensory neuron-derived exosomes (nExo) in mediating intervertebral disc degeneration (IDD).Methods:A rat IDD model was constructed, with nExo injected into the intervertebral disc. After 4 weeks, the degenerative grades of operated discs were evaluated using histological staining, while the senescent phenotype of nucleus pulposus stem cells (NPSC) in the tissue was evaluated using immunofluorescence staining. For in vitro experiments, 24 hours after the treatment of nExo to NPSC, immunoblotting, flow cytometry, or senescence-associated β-galactosidase staining was applied to evaluate the senescent phenotype of NPSC. Transcriptomics analysis was applied to identify the key molecules that mediate nExo-induced cells senescence. After 4 weeks of injecting nExo and TXN into the rat tail disc degeneration model.Results:nExo increased the degenerative grades of IDD and increased the proportion of TEK +p16 + and TEK +p21 + cells (from 36.32% ±4.04%, 33.69% ±4.56% in IDD group to 56.41% ±5.26%, 50.14% ±8.49% in IDD+nExo group, respectively; t=7.420, P<0.001; t=4.184, P<0.0019, respectively) in the disc tissue. Besides, nExo promoted the expression of p16 and p21 in NPSC and increased the percentage of cells with positive senescence-associated β-galactosidase staining (from 7.32%±1.73% to 58.22%±11.38%, t=7.658, P=0.002), while the percentage of G2/M cells was downregulated (from 18.10%±1.32% to 1.60%±0.67%, t=19.290, P<0.001). Transcriptomic analysis showed that the differential genes of CTRL vs. nExo were closely related to cell senescence, and TXN was screened by intersecting the differential gene set with the cellular senescence gene sets from the published database. Furthermore, we verified that nExo decreased the content of TXN in NPSC, while exogenous TXN downregulated the expression of p16 and p21 in NPSC, reduced the positive cell rate of senescence-associated β-galactosidase staining (from 58.84%±3.99% to 21.68%±8.16%, t=7.048, P=0.021), increased the percentage of G2/M cells (from 1.21%±0.34% to 15.26%±2.60%, t=9.259, P=0.001). TXN significantly reduced the grade of disc tissue degeneration (histological score: 14.33±0.82 in the nExo group; 8.17±1.17 in the nExo+TXN group, t=10.590, P<0.001), significantly increased the content of extracellular matrix (from 10.94±4.35 μg/mg to 50.55±12.16 μg/mg, t=7.512, P<0.001), and reduced the proportion of TEK +p16 + and TEK +p21 + double-positive cells (from 54.92%±4.21% and 60.31%±9.02% to 27.93%±3.26% and 33.75%±8.07%, respectively; t=12.430, P<0.001; t=5.375, P<0.001, respectively). Conclusion:nExo promotes cell senescence and IDD by downregulating TXN in NPSC.

Objective:To understand the serological characteristics of irregular antibodies in pregnant women and explore their clinical significance.Methods:From January 2017 to March 2022,151 471 pregnant women in Women and Children's Hospital of Chongqing Medical University were enrolled in this study,microcolumn gel card test was used for irregular antibody screening,and antibody specificity identification was further performed in some antibody-positive subjects.Results:The positive rate of irregular antibody screening in the enrolled pregnant women was 0.91％(1 375/151 471),0.23％(355/151 471)was detected in the first trimester,0.05％(71/151 471)in the second trimester,and 0.63％(949/151 471)in the third trimester.The positive rate of irregular antibody screening in the third trimester was significantly higher than that in the first and second trimester,and a significant increase in the number of positive cases was found in the third trimester than that in the second trimester.The analysis of agglutination intensity of 1 375 irregular antibody screening positive results showed that the weakly positive agglutination intensity accounted for 50.11％(689/1 375),which was the highest,the suspicious positive was 18.69％(257/1 375),and the positive was 31.20％(429/1 375).The significant difference in distribution of agglutination intensity was not observed between the first trimester group and the second trimester group,however,in the third trimester,the proportion of suspicious positive and weakly positive was lower than the first trimester,while,the proportion of positive was higher than the first trimester,and the difference was statistically significant(P＜0.001).Among the irregular antibody screening positive pregnant women,the proportion of pregnant women with pregnancy number ≥ 2 was significantly higher than that with pregnancy≤1.Among 60 pregnant women who underwent antibody identification,the distributions of the antibodies were as follows:Rh blood group system accounted for 23.33％(14/60),Lewis system 43.33％(26/60),Kidd system 3.33％(2/60),MNS system 16.67％(10/60),P1PK system 1.67％(1/60),autoantibodies 1.67％(1/60),and 4 cases was unable to identify(6.67％,4/60).Among specific antibodies,the anti-Lea was the most common(30.00％),followed by anti-E(16.67％)and anti-M(16.67％).Conclusion:The differences of irregular antibody serological characteristics exist in pregnant women from different regions with different genetic backgrounds,understanding the characteristics of irregular antibody in local pregnant women is of great significance for ensuring transfusion safety in pregnant women and preventing hemolytic disease of newborn.

Objective This study aimed to explore the diagnostic concordance of fractional flow reserve(FFR)and quantitative flow ratio(QFR)and the characteristics affecting this concordance.Methods Patients with non-acute myocardial infarction admitted to the Department of Cardiology,Peking University Third Hospital between January 2019 and December 2021 were enrolled.The patients were divided into four groups:FFR+/QFR+and FFR-/QFR-,FFR+/QFR-and FFR-/QFR+with FFR or QFR≤0.80 as positive and＞0.80 as negative.Using FFR as the gold standard,the diagnostic value of QFR was analyzed,and differences in clinical features and pathological characteristics among the groups were compared.Results A total of 236 patients were included.The mean age was(64.48±9.63)years,and 67.8％were male.All patients had 30％-70％coronary stenosis.The consistency rate of QFR and FFR was 78.0％(n=184),and the Person correlation coefficient was 0.557(P＜0.001).Among FFR+patients,the minimum lumen diameter was larger[(1.56±0.34)mm vs.(1.39±0.31)mm,P=0.019],lesion length was shorter[(21.37±11.73)mm vs.(36.86±18.09)mm,P＜0.001],and coronary angiography-based index of microcirculartory resistance(AMR)was higher[(277.50±28.87)mmHg·s/m vs.(178.02±49.13)mmHg·s/m,P＜0.001]in the disconcordance group.Multivariate regression analysis suggested that AMR[OR 0.93,95％CI 0.88-0.99,P=0.030]and lesion length[OR 1.27,95％CI 1.01-1.60,P=0.045]were independent predictors of disconcordance.In the FFR-group,the lesion length was longer[(33.08±16.05)mm vs.(21.40±13.36)mm,P=0.020],and AMR[(169.66±24.01)mmHg·s/m vs.(265.95±44.78)mmHg·s/m,P＜0.001]and low-density lipoprotein-C[1.57(1.10,1.97)mmol/L vs.2.15(1.79,2.74)mmol/L,P=0.031]were lower in the disconcordance group.No statistically significant variables were identified by multivariate regression.Conclusions QFR had high diagnostic value compared with FFR.In the FFR+group,AMR and lesion length may have affected the diagnostic consistency of QFR and FFR.The study provided more evidence for the clinical application of QFR.

Objective:To analyze the distribution characteristics of Rh phenotype in pregnant and postpartum women in Chongqing area,and to explore the clinical significance of Rh phenotype in pregnant and postpartum women and the feasibility of Rh phenotype compatible blood transfusion.Methods:The ABO blood group and Rh phenotype of 65 161 pregnant and postpartum women were detected by microcolumn gel method,and 48 122 males in the same period were taken as controls.The data were analyzed by Chi-square test.Results:There were 112 870 cases(99.64％)of RhD+in 113 283 samples.In RhD+cases,CCDee(48.39％)and CcDEe(32.88％)were the main phenotypes.The first case of D--phenotype in Chongqing area was detected.413 cases(0.36％)of RhD-were detected,with ccdee(52.78％)and Ccdee(33.41％)as the main phenotypes.Compared with RhD-group,RhD+group showed statistically significant difference in Rh phenotype distribution(P＜0.01).Among 65 161 maternal samples,the positive rate of 5 antigens of Rh blood group from high to low was D＞e＞C＞c＞E,and there was no significant difference compared with male samples(P＞0.05).There was no significant difference in the distribution of Rh phenotype between males and pregnant/postpartum women,as well as between pregnant/postpartum women with different ABO blood groups(P＞0.05).In pregnant and postpartum women,there was no significant difference in distribution of Rh phenotype among the normal pregnancy population,the population with adverse pregnancy history,the population using human assisted reproductive technology(ART)and the population with infertility(P＞0.05).There was no significant difference in the distribution of Rh phenotype between the 4 populations mentioned above and the inpatients in the local general Grade A hospitals and the blood donors(P＞0.05).In RhD positive pregnant and postpartum women,the probability of finding compatible blood for CcDEe phenotype was 100％,the probability of finding compatible blood for CCDee,CcDee and CCDEe phenotypes was 45％-60％,the probability of finding compatible blood for ccDEE,ccDEe and CcDEE phenotypes was 5％-10％,and the probability of finding compatible blood for other phenotypes was lower than 0.5％.The supply of blood with CCDee and ccDEE phenotypes can meet the compatible transfusions requirements of 7 Rh phenotypes in more than 99％of patients.Conclusion:Rh phenotype detection should be carried out for pregnant and postpartum women,and it is feasible to carry out Rh phenotype-matched or compatible blood transfusion for pregnant and postpartum women who need blood transfusion.

Objective:This study aims to explore the synergistic effects of DIP and other medical insurance supply-side policies.Method:City A that has piloted DIP reform was set as the treatment group,and City B without reform was set as the control group.A total of 1 120 public medical institution samples from 2019 to 2022 were collected.The total medical expenses during hospitalization and some structural expenses were analyzed using DID method.Result:DIP had a significant inhibitory effect on the medical expenses,and the expenses of checkups and examinations during hospitalization in city A,but had no impact on the drug and the material expenses during hospitalization.Conclusion:DIP played a significant cost control role and effectively controlled the total medical expenses during hospitalization.The synergistic effects of price adjustment of medical services policy and national centralized drug/material procurement policy on cost control were insufficient.DIP synergized with other supply-side policies to promote rational medical cost structure.It is suggested that medical insurance departments should focus on the synergistic effects of medical insurance supply-side policies to jointly improve the efficiency of medical insurance fund utilization.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.