This study aimed to explore the value of magnetic resonance imaging (MRI) T 2 mapping in the assessment of dermatomyositis (DM) and polymyositis (PM). Thirty-three confirmed cases (myosin group) and eight healthy volunteers (healthy control group) at the Department of Rheumatology and Immunology, the First Affiliated Hospital of Kunming Medical University, from October 2016 to December 2017, were collected and analyzed. Multiple parameters of the myosin group were quantified, including creatine kinase (CK), erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), complement C3, and complement C4. Disease status was evaluated using a panel of tools: myositis disease activity assessment tool-muscle (MDAAT-muscle), myositis disease activity assessment tool-whole (MDAAT-all), health assessment questionnaire (HAQ), medical outcomes study health survey short form-36 item (SF-36), hand muscle strength test (MMT-8) score, and MRI T 2 mapping of muscle (22 muscles in the pelvis and thighs) T 2 values. The results showed that in the myositis group, the measurements for CK, ESR, CRP, complement C3, and complement C4 were 457.2 (165.6, 1 229.2) IU/L, 20 (10, 42) mm/1h, 3.25 (2.38, 10.07) mg/L, 0.90 (0.83, 1.06) g/L, and 0.18 (0.14, 0.23) g/L, respectively. The scores for MMT-8, MDAAT-muscle, MDAAT-all, HAQ, and SF-36 were 57.12±16.23, 5.34 (4.00, 6.00), 34.63±12.62, 1.55 (0.66, 2.59), and 44.66±7.98, respectively. T 2 values were significantly higher in all 22 muscles of the pelvis and thighs of patients with DM or PM compared with the healthy controls [(54.99±11.60)ms vs. (36.62±1.66)ms, P<0.001], with the most severe lesions in the satrorius, iliopsoas, piriformis, gluteus minimus, and gluteus medius muscles. The total muscle T 2 value in the myositis group was positively correlated with CK, MDAAT-muscle, MDAAT-all, and HAQ ( r=0.461, 0.506, 0.347, and 0.510, respectively, all P<0.05). There was a negative correlation between complement C4, SF-36, and MMT-8 scores ( r=-0.424, -0.549, and -0.686, respectively, all P<0.05). Collectively, the findings from this study suggest that MRI T 2 mapping can objectively reflect the disease status of DM and PM.

Objective:To analyze the clinical characteristics of patients undergoing extracorporeal cardiopulmonary resuscitation (ECPR), and to explore the risk factors leading to poor prognosis.Methods:The clinical data of 95 patients with ECPR admitted to the First Affiliated Hospital of Zhengzhou University from January 2020 to May 2023 were retrospectively analyzed. According to the survival status at the time of discharge, the patients were divided into the survival group and death group. The difference of clinical data between the two groups was compared to explore the risk factors related to death and poor prognosis. Risk factors associated with death were identified by Binary Logistic regression analysis. Results:A total of 95 patients with ECPR were included in this study, 62 (65.3%) died and 33 (34.7%) survived at discharge. Patients in the death group had longer low blood flow time [40 (30, 52.5) min vs. 30 (24.5, 40) min ] and total cardiac arrest time[40 (30, 52.5) min vs. 30(24.5, 40) min], shorter total hospital stay [3 (2, 7.25) d vs. 19 (13.5, 31) d] and extracorporeal membrane oxygenation (ECMO) assisted time [26.5 (17, 50) h vs. 62 (44, 80.5) h], and more IHCA patients (56.5% vs. 33.3%) and less had spontaneous rhythm recovery before ECMO (37.1% vs. 84.8%). Initial lactate value [(14.008 ± 5.188) mmol/L vs.(11.23 ± 4.718) mmol/L], APACHEⅡ score [(30.10 ± 7.45) vs. (25.88 ± 7.68)] and SOFA score [12 (10.75, 16) vs. 10 (9.5, 13)] were higher ( P< 0.05). Conclusions:No spontaneous rhythm recovery before ECMO, high initial lactic acid and high SOFA score are independent risk factors for poor prognosis in ECPR patients.

Objective:To investigate the effects of dezocine combined with sufentanil on continuous epidural analgesia after cesarean section.Methods:Eighty-six pregnant women who were scheduled for cesarean section in Guoyang Hospital of Traditional Chinese Medicine from February to December 2021 were included in this randomized controlled study. These women were divided into an observation group and a control group ( n = 43/group). The women in the observation group underwent epidural analgesia with dizocine, sufentanil, and ropivacaine, while those in the control group underwent epidural analgesia with dizocine and ropivacaine. The visual analogue score, Ramsay sedation score, Bruggrmann comfort scale score, and the incidence of adverse reactions were compared between the two groups. Results:At 4, 8, 12, 24 hours after surgery, the visual analogue score (VAS) in the observation group was significantly lower than that in the control group ( t = 2.34, 5.89, 15.36, 16.23, all P < 0.05). At 4, 8, 12, and 24 hours after surgery, Ramsay sedation score in the observation group was significantly higher than that in the control group ( t = -6.31, -7.64, -7.49, -7.41, all P < 0.001). At 4, 8, 12, and 24 hours after surgery, Bruggrmann comfort scale score in the observation group was significantly higher than that in the control group ( t = -7.60, -10.40, -14.53, -13.80, all P < 0.001). There was a significant difference in the number of effective analgesic pump compressions between the observation and control groups [(3.00 ± 1.41) times vs. (7.23 ± 1.31) times, t = 14.42, P < 0.001]. No adverse reactions were observed in the observation group within 24 hours after surgery. Conclusion:Dezocine combined with sufentanil for epidural analgesia can effectively improve the analgesic effects after cesarean section and is highly safe.

Background Research on the relationship between ambient temperature and preterm birth has received increasing attention, but the conclusions of the previous literature are inconsistent. Objective To explore the impact of environmental temperature exposure in Ningbo on premature delivery of pregnant women. Methods The birth information, preterm birth data, and age of pregnant women from January 2016 to September 2020 were collected by the electronic medical record system of Ningbo Women’s and Children’s Hospital. Meteorological data for the same period were obtained through Ningbo Meteorological Bureau, including daily average temperature, daily average relative humidity, and daily average air pressure. Daily concentrations of SO₂, NO₂, and PM₁₀ were derived through the air quality real-time release system on the website of Ningbo Environmental Protection Bureau. A distributed lag nonlinear model was used to analyze the impact of environmental temperature on preterm birth by stratifying pregnant women’s age and birth delivery mode. Results The incidence rate of preterm birth in Ningbo from 2016 to 2020 was 5.91%. The exposure-response curve between environmental temperature and preterm birth presented a “U” shape. Taking 22.5 ℃ as a reference, the cumulative effect of 31 ℃ (the 95th percentile) and 32 ℃ (the 99th percentile) over a 21-day lag on preterm delivery was statistically significant, and the related RR (95%CI) values were 1.67 (1.05-2.65) and 1.85 (1.09-3.14) respectively. The results of stratified analysis showed that among pregnant women ≥30 years old, the 21-day cumulative effects of 31 ℃ and 32 ℃ on preterm delivery were statistically significant, and the related RR (95%CI) values were 2.09 (1.08-4.05) and 2.36 (1.11-5.03) respectively; among pregnant women with natural delivery, the 21-day cumulative effect of 32 ℃ on preterm delivery was statistically significant, and the RR (95%CI) was 1.95 (1.02-3.74). Conclusion Exposure of pregnant women to high temperature during pregnancy could increase the risk of preterm birth, and there is a delayed cumulative effect.

Objective To analyze the risk factors for the occurrence of post transplantation diabetes mellitus (PTDM) in renal transplant recipients, establish a prediction model for PTDM and evaluate its prediction value. Methods Clinical data of 915 renal transplant recipients were retrospectively analyzed. According to the occurrence of PTDM, all recipients were divided into the PTDM group (n=78) and non-PTDM group (n=837). The main indexes of recipients were collected. The risk factors for the occurrence of PTDM in renal transplant recipients were analyzed by univariate and multivariate analysis. The prediction model for PTDM was established and its prediction value was evaluated. Results Family history of diabetes mellitus, body mass index (BMI), preoperative 2 h postprandial blood glucose and preoperative glycosylated hemoglobin were the independent risk factors for the occurrence of PTDM in renal transplant recipients. The prediction model for PTDM was logit (P)=2.199×family history of diabetes (yes=1, no=0)+0.109×BMI+0.151×2 h postprandial blood glucose (mmol/L)+0.508×glycosylated hemoglobin (%)-9.123. The results of receiver operating characteristic (ROC) curve showed that the area under the curve (AUC) of these 4 predictors combined for predicting PTDM in renal transplant recipients was 0.830 [95% confidence interval (CI) 0.786-0.873], the cut-off value was 0.0608, the sensitivity was 0.821, the specificity was 0.700, and the Youden index was 0.521 (P < 0.05). Conclusions Family history of diabetes mellitus, BMI, preoperative 2 h postprandial blood glucose and preoperative glycosylated hemoglobin are the independent risk factors for the occurrence of PTDM in renal transplant recipients. The prediction model for PTDM combined with4 predictors yield relatively high prediction value for PTDM.

Objective:To study the use of digital subtraction angiography (DSA) guided transnasal ileus tube placement in management of abdominal compartment syndrome (ACS) after liver transplantation.Methods:From January 2015 to December 2019, a total of 30 patients who developed ACS after liver transplantation who were admitted to the Transplantation Intensive Care Unit of Tianjin First Central Hospital were retrospectively studied. According to the way of decompression, these patients were divided into the study group and the control group. Patients in the control group were treated with conventional abdominal decompression, while patients in the study group were treated with DSA guided transnasal ileus tube placement based on management principles developed in conventional abdominal decompression. Changes in intra-abdominal pressure, treatment efficacy rates and liver functions were monitored in the two groups up to 7 days after abdominal decompression.Results:There were 23 males and 7 females, aged (53.4±11.6) years. After treatment, the IAP, portal venous blood flow velocity, bile drainage volume, ALT and AST in the study group were significantly better when compared with the findings before treatment: [IAP: (7.13±3.87) vs (22.73±2.09) mmHg, portal vein blood flow velocity: (34.76±10.31) vs (21.45±6.47) cm/s, bile drainage volume: (198.43±19.94) vs (80.72±9.52) ml/d, ALT: (158.92±67.56) vs (278.73±99.17) U/L, AST: (79.36±15.63) vs (196.71±89.05) U/L], ( P<0.05). After treatment, when compared with the control group, the IAP, portal vein blood flow velocity, bile drainage and TBil in the study group were significantly better [IAP: (7.13±3.87) vs (13.47±6.19) mmHg, portal vein blood flow velocity: (34.76±10.31) vs (24.98±8.54) cm/s, bile drainage: (198.43±19.94) vs (108.73±21.30) ml/d, TBil: (258.85±91.95) vs (343.69±89.45) μmol/L], ( P<0.05). In the control group, the IAP significantly decreased on the fourth day after treatment, ( P<0.05); compared with the significant difference in the study group on the second day after treatment ( P<0.05). After 7 days of treatment, the efficacy rate of the control group was 46.7% (7/15), compared to 86.7% (13/15) in the study group. The difference between the two groups was significant (χ 2=5.400, P<0.05). Conclusion:DSA guided transnasal ileus tube placement for treatment of abdominal compartment syndrome after liver transplantation resulted in a better treatment efficacy rate than conventional treatment.

Objective:To analyze the association of pre-transplant risk factors with diabetes mellitus after renal transplantation and examine the significance of preventing the occurrence in kidney transplantation recipients.Methods:A total of 290 kidney transplantation recipients were retrospectively reviewed at our transplantation center from August 2018 to May 2020.Diabetes mellitus after renal transplantation was employed as a primary outcome index.Multivariate Logistic regression model was utilized for constructing A (without adjusting for covariates)、B(covariates include: gender, dialysis mode, type of donation)and C(covariates include: gender, dialysis mode, type of donation, calcineurin inhibitor, antiproliferative drugs, primary disease, fasting blood glucose, 1 h postprandial blood glucose, fasting C peptide, 1 h and 2 h postprandial C peptide, fasting C-peptide index, 1 h postprandial C-peptide index, albumin, triglycerides, total cholesterol)to evaluate the relationship between diabetes mellitus after transplantation and age, body mass index, 2 h postprandial blood glucose(2 h-PG), HbA1c, and 2 h postprandial C-peptide index(2 h-CPI).Results:In model A, age [odds ratio(OR)1.1, 95% confidence interval( CI)1.0~1.1], BMI(OR 1.2, 95% CI 1.0~1.3), 2 h PG(OR 1.2, 95% CI 1.1~1.4), HbA1c(OR 2.7, 95% CI 1.5~4.9), 2 h-CPI(OR 0.7, 95% CI 0.5~1.0), model B/C had similar results with A. Age, BMI, 2 h PG and HbA1c were all risk factors for diabetes mellitus after transplantation while 2 h-CPI was a protective factor.Quartile stratification was analyzed by regression model.And trend test was significant( P<0.05). Conclusions:Age, BMI, 2 h PG, HbA1c and 2 h-CPI are correlated with diabetes mellitus after kidney transplantation.

Objective:To verify the reliability, accuracy and stability of the machine performance check (MPC) system of Varian′s TrueBeam series accelerator.Methods:After the installation was completed, the acceptance data were compared with the results of the first MPC operation to verify the reliability of the MPC results; the accuracy of the MPC results in the image-guided radiotherapy (IGRT) application was verified by the method of artificially introducing errors. The mechanical performance results of 60 groups of MPC from March 2019 to March 2020 were collected to calculate the mean value and standard deviation and compare the stability differences of each index.Results:The equipment error parameters obtained by MPC were all lower than those obtained by acceptance. The maximum difference between two sets of data was only 2mm and the threshold ratio was less than 20%. MPC had a high sensing accuracy for radiation and imaging position shift, and the r values were more than 90%. The vertical direction of the couch had a poor sense of displacement accuracy, and the r value was less than 73.7%. For this verification project, the angle of the treatment bed was the most stable, and the standard deviation did not exceed 0.01. The stability of other indexes did not significantly differ.Conclusions:MPC can be used as a verification tool for routine quality assurance of IGRT. The verification accuracy of radiation and imaging centers are better than the mechanical accuracy of gantry, collimator and couch.

Objective: To investigate the incidence and risk factors contributing to post-transplant diabetes mellitus (PTDM) in kidney transplant recipients within one year post-transplantation. Methods: A total of 293 non-diabetic kidney transplant recipients were retrospectively analyzed. Patients were divided into non-PTDM group and PTDM group according to the diagnostic criteria of diabetes mellitus. The incidence of PTDM was calculated and the potential risk factors of PTDM were analyzed by univariate and multivariate Logistic regression analysis. Results: Among the 293 non-diabetic patients, 36 patients developed PTDM within 1 year, with an incidence of 12.3%. Multivariate Logistic analysis showed that age (OR 1.055, 95% CI 1.014-1.098, P=0.009) , body mass index [odd ratio (OR) 1.231, 95% confidence interval (CI) 1.084-1.398, P=0.001], polycystic kidney as the primary disease (OR 1.508, 95% CI 1.006-2.262, P=0.047) , 2-hour postprandial blood glucose (OR 1.186, 95% CI 1.04-1.53, P=0.011) , HbA1c (OR 1.732, 95% CI 1.075-3.428, P=0.015) and 1-hour postprandial blood C-peptide (OR 0.869, 95% CI 0.804-0.939, P=0.001) were independent risk factors for PTDM in kidney transplant recipients within 1-year post-transplantation. Conclusion Patients with older age, obesity, polycystic kidney as the primary disease, higher level of HbA1c and 2-hour postprandial blood glucose, and lower level of 1-hour postprandial blood C-peptide may have higher risk of developing PTDM.

Objective To investigate the distribution characteristics of pathogenic bacteria in infectious donors from organ donation after citizen's death and preventive strategies for renal transplant recipients. Methods Clinical data of 412 donors and 803 recipients from organ donation after citizen's death were retrospectively analyzed. All donors underwent culture of airway secretions, urine, blood and renal lavage fluid. The incidence rate of infection, distribution and composition ratio of pathogenic bacteria of donors from organ donation after citizen's death were observed. The scores of all donors were evaluated according to the length of intensive care unit (ICU) stay for donors, the situation of abdominal trauma and the results of body fluid culture, etc. According to the score, the recipients received different infection prevention regimes. The incidence rate of donor-derived infection (DDI) and clinical prognosis of the recipients were analyzed. Results A total of 243 donors were diagnosed with infection in 412 donors from organ donation after citizen's death with an infection rate of 59.0%. In total, 456 strains of pathogenic bacteria were isolated, mainly derived from the airway secretions (71.7%). Gram-negative bacteria dominantly consisted of Klebsiella pneumoniae and acinetobacter baumannii. Gram-positive bacteria mainly included staphylococcus aureus and fungus mainly included yeast-type fungus. Three recipients (kidneys from 2 donors respectively) developed DDI with an incidence rate of 0.4%. Conclusions The infection rate of donors from organ donation after citizen's death is relatively high. It is effective to prevent the incidence of DDI by grading the risk of infection of donors and adopting rational preventive plan according to the score.