Objective:To explore the risk factors of acute kidney injury(stage 3)developed within 48 hours in elderly patients with sepsis, and to use them to develop a risk prediction model and then evaluate and externally validate the model.Methods:Clinical data of all elderly patients(age≥ 60 years)with sepsis in the intensive care medicine information database(MIMIC-Ⅳ v1.0)were extracted.Independent risk factors were determined by multivariate logistic regression analysis.A risk prediction model was constructed, a nomogram was drawn, and the receiver operating characteristic curve(ROC)and the Hosmer-Lemeshow(H-L)test were used to evaluate the model's prediction accuracy and R-squared.Clinical data of elderly patients(age≥ 60 years)with sepsis admitted to the Department of Critical Care Medicine of the Second People's Hospital of Hefei from May 2019 to October 2021 were retrospectively collected and fed into the prediction model to conduct external validation.Results:A total of 1 977 elderly patients with sepsis were screened out from the MIMIC-IV database and included in the training set, of whom, 544 developed AKI-stage 3 within 48 hours.Univariate analysis was performed for factors that might be associated with acute kidney injury in elderly patients with sepsis.Compared with the normal group that did not progress to AKI stage 3, there were statistically significant differences in 28 indicators, such as the duration of ICU stay, intravenous fluid intake in 24 hours, and use of vasoactive drugs[5(3, 9)d vs.7(4, 12)d; 2.05(1.17, 3.27)ml·kg -1·h -1vs.2.37(1.47, 4.10)ml·kg -1·h -1; 761(53.11%) vs.375(68.93%), P<0.001]. Based on the results of multivariate logistic regression analysis, a prediction model was finally constructed with 9 variables: albumin( OR=0.983, 95% CI: 0.966-0.999, P=0.040), aspartate transaminase( OR=1.000, 95% CI: 1.000-1.000, P<0.001), APTT( OR=1.005, 95% CI: 1.001-1.009, P=0.028), total bilirubin( OR=1.003, 95% CI: 1.001-1.004, P=0.001), serum creatinine( OR=1.005, 95% CI: 1.004~1.007, P<0.001), Charlson score( OR=1.117, 95% CI: 1.061-1.177, P<0.001), intravenous fluid intake in 24 hours( OR=1.101, 95% CI: 1.034-1.173, P=0.003), weight( OR=1.023, 95% CI: 1.018-1.029, P<0.001), and mechanical ventilation( OR=2.412, 95% CI: 1.843-3.157, P<0.001). Then a nomogram was generated.The area under the ROC curve(AUC)of the prediction model was 0.755(95% CI: 0.731-0.780), and the H-L test was conducted( χ2=10.89, P=0.208>0.05), indicating a good fit.Data from 102 elderly patients were included in the validation set, with 27 cases that had developed AKI-stage3 within 48 hours, and were fed into the prediction model, with an AUC of 0.778(95% CI: 0.676-0.880)and χ2=3.72 and P=0.882>0.05 from the H-L test, consistent with the results of the training set. Conclusions:The model has some predictive value for acute kidney injury in elderly patients with sepsis.

Objective:To develop a risk prediction model for the recurrence of diabetic foot ulcer (DFU) in diabetic patients and primarily validate its predictive value.Methods:Meta-analysis combined with retrospective cohort study was conducted. The Chinese and English papers on risk factors related to DFU recurrence publicly published in China Biology Medicine disc, China National Knowledge Infrastructure, Wanfang Database, VIP Database, and PubMed, Embase, Cochrane Library, and Web of Science, and the search time was from the establishment date of each database until March 31 st, 2022. The papers were screened and evaluated, the data were extracted, a meta-analysis was performed using RevMan 5.4.1 statistical software to screen risk factors for DFU recurrence, and Egger's linear regression was used to assess the publication bias of the study results. Risk factors for DFU recurrence mentioned in ≥3 studies and with statistically significant differences in the meta-analysis were selected as the independent variables to develop a logistic regression model for risk prediction of DFU recurrence. The medical records of 101 patients with DFU who met the inclusion criteria and were admitted to Affiliated Hospital of Guizhou Medical University from January 2019 to June 2022 were collected. There were 69 males and 32 females, aged (63±14) years. The receiver operating characteristic (ROC) curve of the predictive performance of the above constructed predictive model for DFU recurrence was drawn, and the area under the ROC curve, maximum Youden index, and sensitivity and specificity at the point were calculated. Dataset including data of 8 risk factors for DFU recurrence and the DFU recurrence rates of 10 000 cases was simulated using RStudio software and a scatter plot was drawn to determine two probabilities for risk division of DFU recurrence. Using the β coefficients corresponding to 8 DFU recurrence risk factors ×10 and taking the integer as the score of coefficient weight of each risk factor, the total score was obtained by summing up, and the cutoff scores for risk level division were calculated based on the total score × two probabilities for risk division of DFU recurrence. Results:Finally, 20 papers were included, including 3 case-control studies and 17 cohort studies, with a total of 4 238 cases and DFU recurrence rate of 22.7% to 71.2%. Meta-analysis showed that glycosylated hemoglobin >7.5% and with plantar ulcer, diabetic peripheral neuropathy, diabetic peripheral vascular disease, smoking, osteomyelitis, history of amputation/toe amputation, and multidrug-resistant bacterial infection were risk factors for the recurrence of DFU (with odds ratios of 3.27, 3.66, 4.05, 3.94, 1.98, 7.17, 11.96, 3.61, 95% confidence intervals of 2.79-3.84, 2.06-6.50, 2.50-6.58, 2.65-5.84, 1.65-2.38, 2.29-22.47, 4.60-31.14, 3.13-4.17, respectively, P<0.05). There were no statistically significant differences in publication biases of diabetic peripheral neuropathy, diabetic peripheral vascular disease, glycosylated hemoglobin >7.5%, plantar ulcer, smoking, multidrug-resistant bacterial infection, or osteomyelitis ( P>0.05), but there was a statistically significant difference in the publication bias of amputation/toe amputation ( t=-30.39, P<0.05). The area under the ROC curve of the predictive model was 0.81 (with 95% confidence interval of 0.71-0.91) and the maximum Youden index was 0.59, at which the sensitivity was 72% and the specificity was 86%. Ultimately, 29.0% and 44.8% were identified respectively as the cutoff for dividing the probability of low risk and medium risk, and medium risk and high risk for DFU recurrence, while the corresponding total scores of low, medium, and high risks of DFU recurrence were <37, 37-57, and 58-118, respectively. Conclusions:Eight risk factors for DFU recurrence are screened through meta-analysis and the risk prediction model for DFU recurrence is developed, which has moderate predictive accuracy and can provide guidance for healthcare workers to take interventions for patient with DFU recurrence risk.

Objective:To investigate the clinical characteristics and prognosis of patients with RUNX1-RUNX1T1 fusion gene-positive acute myeloid leukemia (AML) with ASXL2 gene mutation.Methods:The clinical data of 145 newly diagnosed RUNX1-RUNX1T1 fusion gene-positive AML patients treated at the Second Hospital Center of Shanxi Medical University from October 2010 to March 2021 were retrospectively analyzed. Sanger sequencing was used to detect the gene mutation. According to the presence or absence of ASXL2 gene mutation, the patients were divided into mutation group and non-mutation group. The clinical characteristics, gene mutations and prognosis were compared among the two groups.Results:Among 145 AML patients with positive RUNX1-RUNX1T1 fusion gene, we identified recurrent mutations of c-kit, ASXL2, N/KRAS, FLT3, ASXL1, TET2, NPM1 and DNMT3A genes, with mutation rates of 40.7% (59/145), 20.7% (30/145), 15.9% (23/145), 12.4% (18/145), 11.7% (17/145), 11.0% (16/145), 5.5% (8/145), and 2.1% (3/145), respectively. A total of 18 mutation sites were detected in 30 patients with ASXL2 gene mutations including 5 point mutations and 13 frameshift mutations, which mainly occured in the exons 12 and 13. Lactate dehydrogenase (LDH) at initial diagnosis of 30 AML patients with ASXL2 mutation was lower than that of those with ASXL2 non-mutation ( Z = 2.34, P = 0.020), while prothrombin time (PT) of AML patients with ASXL2 mutation was longer than that of those with ASXL2 non-mutation ( Z = 1.99, P = 0.047). A total of 21 (21/30, 70%) patients simultaneously had other gene mutations. The incidence of RAS mutations in patients with ASXL2 mutation was higher than that those with ASXL2 non-mutation, and the difference was statistically significant [30.0% (9/30) vs. 12.1% (14/115), χ2 = 4.41, P = 0.036]. There were no statistically significant differences in complete remission rate [86.7% (26/30) vs. 74.8% (86/115)] and recurrence rate [43.3% (13/30) vs.31.3% (36/115)] of patients with ASXL2 mutation and ASXL2 non-mutation ( χ2 = 0.39, P = 0.534; χ2 = 0.54, P = 0.432). The median overall survival (OS) time was 26 months (1-135 months) and 30 months (1-120 months), respectively in patients with ASXL2 mutation and ASXL2 non-mutation; the median disease-free survival (DFS) time was 14 months (0-60 months) and 13 months (0-94 months), respectively in patients with ASXL2 mutation and ASXL2 non-mutation; and the differences in OS and DFS were not statistically significant of both groups ( χ2 = 0.05, P = 0.822; χ2 = 0.34, P = 0.562). Compared with ASXL1 mutant patients, cases with ASXL2 mutation had higher OS and DFS rates, and the differences were statistically significant ( P = 0.003, P = 0.007). The differences in OS and DFS between patients with ASXL2 mutations and those with positive mutations of c-kit, RAS, FLT3, TET2, NPM1, DNMT3A were not statistically significant (all P > 0.05). Conclusions:RUNX1-RUNX1T1 positive AML patients with ASXL2 mutation tend to have low LDH and high PT, and often coexist with RAS mutations, and their prognosis is better than that in patients with ASXL1 positive mutation.

Objective:To analyze the competence assessment examinations of registered dietitians in China during 2017-2021 to inform the training of dietetic professionals.Methods:A systematic review was conducted about the composition and changing trends of examination participants during 2017-2021. Participants were divided into subgroups based on gender, age, education, professional background and affiliations and the qualification rate was compared across different subgroups.Results:The number of examination participants showed an increasing trend overall, with the majority being females and aged 26-35 years. The ratio of participants with bachelor's: master's: doctor's degree was about 15: 9: 1. The proportion of participants majoring in nutrition science decreased from 32.1% to 20.3%, while that of participants majoring in other medical and food sciences increased. Among participants from healthcare institutions, a decreasing proportion of participants were with a major in nutrition science, while this proportion among participants from companies were stable at 38.8% to 50.2%. The average qualification rate was 35.7%, showing no significant differences among different gender and age groups. But the qualification rate varied significantly across subgroups with different education level, professional background, and affiliations ( P < 0.05). Subgroups with more advanced degrees showed higher qualification rate and the best rate was observed in the subgroups with professional background in nutrition science and from nutrition-related institutions. Conclusion:The training of dietetic professionals in China should be improved, lifelong learning should be promoted in nutrition practitioners, and the sustainable development of dietitians should be impelled.

To construct a hypobaric hypoxia-induced cell injury model. Rat pheochromocytoma PC12 cells were randomly divided into control group, normobaric hypoxia group and hypobaric hypoxia group. The cells in control group were cultured at normal condition, while cells in other two groups were cultured in normobaric hypoxia and hypobaric hypoxia conditions, respectively. CCK-8 method was used to detect cell viability to determine the optimal modeling conditions like the oxygen concentration, atmospheric pressure and low-pressure hypoxia time. The contents of lactate dehydrogenase (LDH), superoxide dismutase (SOD) and malondialdehyde (MDA) were detected by microplate method. The apoptosis ratio and cell cycle were analyzed by flow cytometry. The hypobaric hypoxia-induced cell injury model can be established by culturing for 24 h at 1% oxygen concentration and 41 kPa atmospheric pressure. Compared with the control group and normobaric hypoxia group, the activity of LDH and the content of MDA in hypobaric hypoxia group were significantly increased, the activity of SOD was decreased, the percentage of apoptosis was increased (all <0.05), and the cell cycle was arrested in G0/G1 phase. A stable and reliable cell injury model induced by hypobaric hypoxia has been established with PC12 cells, which provides a suitable cell model for the experimental study on nerve injury induced by hypoxia at high altitude.
Animals ; Cell Hypoxia ; Hypoxia ; Malondialdehyde ; PC12 Cells ; Rats ; Superoxide Dismutase/metabolism*

Chimeric antigen receptor T-cell (CAR-T) therapy is effective in treating lymphoma and leukemia. A large number of basic and clinical studies have led to the rapid development of CAR-T therapy. This paper reviews the concept of CAR-T therapy, the application of CAR-T in hematologic diseases, and the problems and solutions of CAR-T.

Objective: To investigate the clinical featuresand related factors of anti-neutrophil cytoplasmic antibody associated vasculitis (AVV) with interstitial lung disease (ILD), and to explore the high-resolution computed tomography (HRCT) of the chest features between different anti-neutrophil cytoplasmic antibody (ANCA) serotypes. Methods: Clinical date of 125 patients diagnosed with AAV by Tianjin Medical University General Hospital from January 1, 2010 to April 30, 2017 were analyzed retrospectively. Clinical manifestations between AAV patients with ILD or those without ILD (NILD) were compared. Patients who were complicated with ILD were divided into myeloperoxidase (MPO)-ANCA positive subset and proteimase (PR3)-ANCA positive subset, and the pulmonary computed tomographic mani-festation was compared among the two subsets. The count data was analyzed by t test, chi-square test/Fisher exact probality. Logistic regression model was applied to analyze the related factors. Results: Of the 125 AAV patients, 86(68.8%) patients were complicated with inter-stitial lung disease, and the mean age of ILD subgroup was higher than that of the NILD subgroup [(66±11) years vs (56±15) years, t=-3.78, P=0.001]. Com-pared with NILD patients, ILD patients had more symptoms (χ²=4.676, P=0.031). The serum levels of carcinoe-mbryonic antigen (t=-1.908, P=0.012), carbohydrate antigen 19-9 (t=-2.286, P=0.025) and carbohydrate antigen 153 (t=-2.857, P=0.007) were higher than the NILD pa-tients. In addition, MPO-ANCA positivesubgroup was more likely to present with pulmonary fibrosis (χ²=7.736, P=0.005), reticular shadow (χ²=9.762, P=0.002) and honeycombing (χ²=4.278, P=0.039) than PR3-ANCA positive subgroup on CT images of all ILD patients. Multivariate Logistic regressive analysis showed that patients who were older than 65 years [OR(95%CI): 3.305(1.280, 8.531), P=0.013], and Birmin-gham vasculitis activity(BVAS) score higher than or equal to 15 [OR(95%CI): 3.249(1.280, 8.247), P=0.013] were risk factors for AAV patients with ILD, while the probability of PR3-ANCA positive patients complicated with ILD was low [OR(95%CI): 0.063(0.005, 0.851), P=0.037]. Conclusion ILD is a very common clinical feature in AAV, especially for elders. The increase of serum CEA, CA199 and CA153 levels may be an early warning sign of interstitial lung disease. Pulmonary HRCT may more likely to present with pulmonary fibrosis in patients with MPO-ANCA positive.

The genetic characteristics of classical myeloproliferative neoplasms (MPN) have been largely elucidated. This article aims to review the research progress of MPN mutation spectrum. Therefore, patients can be better stratified and personalized treatment strategies will be achieved.

Objective To analyze the clinical characteristics and risk factors of multiple drug -resistant bacteria infection in patients with diabetic foot .Methods The clinical data of 60 patients with diabetic foot were retrospectively analyzed , including diabetic foot infected ( positive group ) and uninfected multiple drug -resistant bacteria(negative group),30 cases in each group.Application of SPSS 17.0 statistical software for infection and clinical characteristics of the single factor analysis , through the Logistics regression analyzed the risk factors of infection . Results A total of 130 strains bacteria were isolated in the positive group ,of which more than 64 strains of drug-resistant bacteria,the detection rate was 49.23％;The top three for staphylococcus aureus (60.00％),enterobacter (53.33％) and verdigris pseudomonas (31.57％).Single factor analysis results showed that age , hypertension between the two groups had no statistically significant differences (all P>0.05);Positive group in the use of antibiotics prior to admission time,ulcerated area,etc.,compared with the negative group the differences were statistically significant (t=1.812, -7.268,all P <0.05).Multiple factors analysis showed that admission ,antibiotics,ulcerated area, osteomyelitis were risk factors of positive infection in patients .Conclusion The risk factor resulted in diabetic foot patients infected multiple drug -resistant bacteria is more ,and the amputation rate of patients with infection group is obviously higher than that of patients who are not infected ,to ensure that the prognosis of patients with diabetic foot level,should strengthen the control of multiple drug -resistant bacteria infection ,thus to better achieve treatment goals .

Objective To design the risk and difficulty degree of common clinical nursing operation items with the purpose of offering much fair and scientific theoretical basis for the performance evaluation. Methods Self-designed questionnaires of risk and difficulties of nursing operation items were applied on 270 clinical nurses from 5 Third-level Grade A hospitals and 15 nursing training experts from different domains. Using the methods of clustering methodology to evaluate the risk and difficulty degree of nursing operation items. Results The risk and difficulties of 45 items of common nursing technical operations were ranked into 3 levels of rank and difficulties, in which the high level included 15 risk indexes (4.0 to 10.0 points) and 14 difficulty indexes (4.0 to 10.0 points), the middle level includes 18 risk indexes (0.9 to 3.0 points) and 17 difficulty indexes (0.5 to 3.0 points), low level includes 12 risk indexes (-10.0 to-0.8 points) and 14 difficulty indexes (-10.0 to-0.4 points). Conclusions The risk and difficulty of nursing operation are ranked in this study. What′s more, it is applied on the basis of nursing performance evaluation. Thus, it is offered much fair and scientific basis for the performance evaluation and human resources arrangement of nursing. And it also benefits for clinical nursing quality and the satisfaction of nurses.