Objective:To investigate the clinical features of patients with maintenance hemodialysis (MHD) infected with SARS-CoV-2 and analyze the risk factors of death after SARS-CoV-2 infection, and to provide clinical data for early detection of critically ill patients and timely intervention.Methods:It was a cross-sectional investigation study. MHD patients in the hemodialysis centers of four tertiary hospitals with geographical representation in Shanxi province from December 1, 2022 to January 31, 2023 were enrolled, and the demographic data, dialysis-related indicators, laboratory test results and clinical features of SARS-CoV-2 infection were collected by distributing the questionnaires on SARS-CoV-2 infection, and consulting the hospital medical record system and the outpatient hemodialysis information system. SARS-CoV-2-infected patients were divided into survival group and death group according to whether all-cause death occurred and the differences of baseline data between the two groups were compared. Multivariate logistic regression analysis method was used to analyze the risk factors of mortality in MHD patients infected with SARS-CoV-2.Results:A total of 519 MHD patients were included in this study, with 508 patients (97.88%) infected with SARS-CoV-2, 474 patients in the survival group and 34 patients in the death group. The clinical symptoms of MHD patients infected with SARS-CoV-2 were diverse, and the most common initial symptom was fever (314/508, 61.81%). Other initial symptoms included cough and phlegm in 66 patients (12.99%), fatigue in 66 patients (12.99%), poor appetite in 20 patients (3.94%), dyspnea in 20 patients (3.94%), muscle pain in 14 patients (2.76%) and diarrhea in 8 patients (1.57%). Compared with the survival group, the death group had older age ( t=5.229, P<0.001), high proportions of males ( χ2=12.319, P<0.001) and diabetic nephropathy ( χ2=49.423, P<0.001), and lower levels of red blood cells ( t=-5.060, P<0.001), lymphocyte ( t=-2.614, P=0.011), neutrophil ( t=-5.117, P<0.001), serum albumin ( t=-2.940, P=0.012), serum prealbumin ( t=-3.519, P=0.001), blood phosphorus ( t=-3.309, P=0.002), serum creatinine ( Z=-3.607, P<0.001), total triglyceride ( Z=-2.486, P=0.013), total cholesterol ( Z=-3.291, P=0.001) and low-density lipoprotein cholesterol ( Z=-3.292, P=0.001). Among 508 SARS-CoV-2-infected patients, 194 patients (38.19%) were treated with nonsteroidal anti-inflammatory agents, 154 patients (30.31%) were treated with antibiotics, and 98 patients (19.29%) were treated with antiviral drugs. There were 225 (43.29%) vaccinated patients against SARS-CoV-2. Multivariate logistic regression analysis showed that low red blood cells ( OR=0.256, 95% CI 0.014-0.429), low lymphocytes ( OR=0.487, 95% CI 0.193-0.826), low serum albumin ( OR=0.613, 95% CI 0.329-0.917), older age ( OR=1.227, 95% CI 1.066-1.412) and diabetes mellitus ( OR=1.126, 95% CI 1.025-1.235) were the independent influencing factors of all-cause mortality in MHD patients infected with SARS-CoV-2. Conclusions:The clinical manifestations of SARS-CoV-2 infection in MHD patients are varied. Low red blood cells, low lymphocytes, low serum albumin, elder age and diabetes mellitus are the independent risk factors of death after SARS-CoV-2 infection in MHD patients. Strengthening management of MHD patients especially in the elderly, and improving and correcting anemia and malnutrition in time, may reduce the death risk of SARS-CoV-2 infection in MHD patients.

The dissemination of culture requires carriers.The construction of hospital characteristic culture and hospital brand culture that highlights hospital characteristics needs to be recognized by medical staff and patients.A good hospital culture is one of the important factors to enhance hospital competitiveness,and can also enhance the hospital's reputation among the pub-lic.As a very common way of information circulation in China,self media and integrated media are rapidly developing and inno-vating in the field of healthcare.Hospitals should actively build their own"micro"cultural platforms.Using self media platforms to tell micro stories,popularize micro knowledge,shoot micro movies,publish micro books,hold micro forums,and micro mu-sic,to enrich patients'cultural lives and create an exclusive hospital culture.

Objective To explore the effect of MSCT 3D scanning and reconstruction on developmental dysplasia of the hip(DDH)in adult patients with total hip arthroplasty,The predictive value of acetabular prosthesis selection and osteotomy accuracy in THA.Methods Selection in our hospital between February 2021 and February 2023 were 60 adult DDH patients underwent total hip replacement,which USES routine preoperative planning as a control group of 30 patients,and using MSCT + reconstruction of 3 d scanning technology as observation group of 30 patients,planning after the completion of the planning of the surgical operation and implant placement,Relevant information was collected before and after the operation of the two groups.Operation time,intraoperative blood loss,intraoperative fluoroscopy time,acetabular prosthesis selection and matching rate,femur split fracture rate,pelvis and acetabular reduction quality,Majeed score and Harris hip function score were compared between the two groups.The osteotomy distance and sharp shoulder distance of the two groups were compared before planning and in actual conditions,and the correlation between MSCT 3D scanning and reconstruction technology and the accuracy of acetabular prosthesis selection was evaluated.Results Results analysis showed that MSCT 3D scanning+reconstruc-tion technology used in preoperative evaluation of patients in the observation group was correlated with the accuracy of acetabular prosthesis selection(P＜0.05),and the absolute errors of osteotomy distance and sharp shoulder distance of patients in the observation group were smaller than the actual situation before planning(P＜0.05).In addition,compared with the control group,the operative time,intraoperative blood loss,intraoperative fluoroscopy time and incidence of femoral split fracture in the observation group were significantly lower,and the matching rate of acetabular prosthesis selection,the Majeed scores and Harris scores were significantly higher in the following 3 months were significantly higher(P＜0.05).The reduction quality of pelvis and acetabulum was not statistically significant between the two groups(P＞0.05).Conclusion Msct-based 3D scanning + reconstruction has a high predictive value for the selection of acetabular prosthesis and the accuracy of osteotomy in adult DDH total hip replacement,and the use of this technology for preoperative planning has a significant optimization effect on the actual treatment effect and patient recovery.

Objective:To explore the risk factors of severe acute kidney injury (AKI) in septic patients, and to establish an hour-specific prediction model.Methods:Based on the information of septic patients in the Medical Information Mart for Intensive Care-Ⅳ (MIMIC-Ⅳ) database, general information, comorbidities, vital signs, severity scoring system, laboratory indicators, invasive operations and medication use were recorded. The enrolled patients were randomized into a training set and a validation set according to a ratio of 7∶3. AKI was diagnosed according to the guidelines of Kidney Disease: Improving Global Outcome (KDIGO). Based on Lasso regression and Cox regression, the risk factors of severe AKI (AKI stage 2 and stage 3) in septic patients were analyzed and hour-specific prediction model were established. Consistency index (C-index), area under the receiver operator characteristic curve (AUC) and calibration curve were used to assess the predictive efficacy of the model.Results:A total of 20 551 septic patients were enrolled, including 14 385 patients in the training set and 6 166 patients in the validation set. Multivariate Cox regression analysis showed that atrial fibrillation [hazard ratio ( HR) = 1.266, 95% confidence interval (95% CI) was 1.150-1.393], heart failure ( HR = 1.348, 95% CI was 1.217-1.493), respiratory failure ( HR = 1.565, 95% CI was 1.428-1.715), heart rate ( HR = 1.004, 95% CI was 1.002-1.007), mean arterial pressure ( HR = 1.245, 95% CI was 1.126-1.377), lactic acid ( HR = 1.051, 95% CI was 1.025-1.077), simplified acute physiology score Ⅱ (SAPSⅡ, HR = 1.019, 95% CI was 1.016-1.023), serum creatinine ( HR = 1.171, 95% CI was 1.127-1.216), anion gap ( HR = 1.024, 95% CI was 1.010-1.038), serum potassium ( HR = 1.155, 95% CI was 1.079-1.236), white blood cell count ( HR = 1.006, 95% CI was 1.003-1.009) and furosemide use ( HR = 0.414, 95% CI was 0.368-0.467) were independently associated with severe AKI in septic patients (all P < 0.01). The above predictors were applied to construct an hour-specific prediction model for the occurrence of severe AKI in septic patients. The C-index of the prediction model was 0.723 and 0.735 in the training and validation sets, respectively. The AUC for the occurrence of severe AKI at 12, 24, and 48 hours were 0.795 (95% CI was 0.782-0.808), 0.792 (95% CI was 0.780-0.805), and 0.775 (95% CI was 0.762-0.788) in the training set, and the AUC were 0.803 (95% CI was 0.784-0.823), 0.791 (95% CI was 0.772-0.810), and 0.773 (95% CI was 0.752-0.793) in the validation set, respectively. The calibration curves of the two cohorts were in good agreement. Conclusion:The hour-specific prediction model effectively identifies high-risk septic patients for developing severe AKI within 48 hours, aiding clinicians in stratifying patients for early therapeutic interventions to improve outcomes.

Objective:To investigate the diagnostic performance of CT-derived fractional flow reserve (CT-FFR) derived from standard images (STD), images processed by first-generation (SSF1) and second-generation (SSF2) whole-heart motion correction algorithm, respectively.Methods:Patients who underwent both coronary CT angiography (CCTA) and invasive coronary angiography (ICA) with FFR examination within 3 months in Shanghai General Hospital, Shanghai Jiao Tong Univerisity School of Medicine from January 2020 to December 2022 were screened in this retrospective study. Totally of 121 patients (134 lesions) were finally included in the study. CCTA images were reconstructed using iterative reconstruction, iterative reconstruction plus SSF1 and SSF2 algorithms. All images were divided into three groups: STD group, SSF1 group, and SSF2 group. The image quality of the CCTA images was assessed using the Likert scale, and differences between the two groups were compared using the Mann-Whitney U and Kruskal-Wallis test. The correlation and consistency between CT-FFR and FFR were evaluated using Spearman correlation coefficient and Bland-Altman plots. The diagnostic performance of CCTA and CT-FFR from three groups was compared by receiver operating characteristic (ROC) curves. The area under the curve (AUC) was compared using the DeLong test. Results:Compared to the STD group and SSF1 group, the SSF2 group showed the best performance in image quality score (median=3.7). Best correlation ( r=0.652, P<0.001) and consistency (mean difference=0.03) between CT-FFR and FFR were observed in SSF2 group. ROC analysis results revealed that, at the per-lesion level, in the diagnosis of ischemic lesions, the diagnostic performance of CT-FFR in the SSF2 group was significantly better than that of the SSF1 group (AUC=0.88 vs. 0.76, P=0.003), while no significant difference was observed between STD group and SSF1 group ( P=0.125). At the per-patient level, the SSF2 group also demonstrated the highest diagnostic performance. Conclusion:The SSF2 algorithm significantly improved CCTA image quality and enhanced its diagnostic performance for evaluating stenosis severity and CT-FFR calculations.

Objective:To explore the current status of lipid-lowering therapy, the distribution of low-density lipoprotein cholesterol (LDL-C) levels and the risk assessment of cardiovascular events recurrence in patients with coronary heart disease (CHD) complicated by hypertension.Methods:This was a cross-sectional study. Patients with CHD combined with hypertension were hospitalized in the Department of Cardiology, General Hospital of Chinese People′s Liberation Army from August 5, 2008 to July 22, 2018 were included, and were divided into standard group and substandard group according to whether LDL-C reached the standard. Study data were obtained from inpatient coronary angiography records and electronic medical records database of Department of Cardiology, General Hospital of Chinese People′s Liberation Army, who used data from the first diagnosis of CHD. Clinical data of the selected patients were collected. Multivariate logistic regression model was used to analyze the associated factors of whether LDL-C reached the standard in CHD patients with hypertension.Results:A total of 18 800 patients were selected from 31 provinces/autonomous regions/municipalities directly under the central government in China, with Beijing accounting for the largest proportion (5 692 patients (30.28%)), followed by Hebei (3 621 patients (19.26%)), Henan (1 837 patients (9.77%)), and Shandong (1 618 patients (8.61%)). Among the selected patients, 1 493 had LDL-C<1.4 mmol/L (standard group), and 17 307 had LDL-C≥1.4 mmol/L (substandard group). Only 1 493 patients (7.94%) had LDL-C<1.4 mmol/L. There were 4 518 patients (24.03%), 4 366 patients (23.22%), 6 924 patients (36.83%) and 1 499 patients (7.97%) with LDL-C for 1.4-<2.0, 2.0-<2.5, 2.5-<3.8 and≥3.8 mmol/L levels, respectively. 17 855 patients (95.15%) were treated with statins, but only 1 334 patients (7.10%) were treated with statins and ezetimibe. Of the selected patients, 4 986 patients (26.52%) were at low risk, 6 515 patients (34.65%) were at intermediate risk, and 7 299 patients (38.82%) were at high risk. The combined lipid-lowering treatment rates of statin and ezetimibe in the middle-and high-risk patients were 7.43% (484/6 515) and 7.48% (546/7 299), respectively. The results of multivariate logistic regression analysis showed that increasing age, male, diabetes mellitus, stroke, and history of percutaneous coronary intervention (PCI) were positively associated with LDL-C standards in patients with CHD and hypertension, whereas obesity and acute myocardial infarction (AMI) were negatively associated with LDL-C standards (all P<0.01). Conclusions:The rate of achieving the standard LDL-C in patients with CHD combined with hypertension was low in China. Although the majority of patients had received moderate-intensity statin therapy, the proportion of statin-treated patients combined with ezetimibe was extremely low. The proportion of high-risk patients with recurrent cardiovascular events was higher in patients with CHD and hypertension in China, whereas the proportion of such patients receiving statin combined with ezetimibe lipid-lowering therapy was lower. This study also found that increasing age, male, diabetes mellitus, stroke, and history of PCI were positively associated with LDL-C standards, while obesity and AMI were negatively associated with LDL-C standards in patients with CHD and hypertension.

Objective:To investigate the association between triglyceride-glucose (TyG) index and all-cause mortality in elderly patients with hypertension and coronary artery disease.Methods:This was a retrospective cohort study, a total of 5 640 elderly inpatients (≥65 years) with hypertension and coronary artery disease who were admitted to the Department of Cardiology, Liberation Army General Hospital from August 2008 to July 2018 were enrolled in this study. The baseline clinical data of the patients were collected and the TyG index was calculated. Patients were divided into four groups according to their TyG index quartiles: TyG index<8.31 ( Q1 group, n=1 392), 8.31≤TyG index<8.67 ( Q2 group, n=1 417), 8.67≤TyG index<9.07 ( Q3 group, n=1 427), and TyG index≥9.07 ( Q4 group, n=1 404). All patients were followed up by obtaining outpatient/rehospitalization records or by telephone. The primary endpoint was all-cause mortality. Log-rank test was used to compare the cumulative all-cause mortality among groups. Cox proportional hazard regression model was used to analyze the risk of all-cause mortality in each group (the Q2 group with the lowest all-cause mortality was used as a reference), after adjusting for confounding factors, Restricted cubic spline analysis (RCS) was used to determine the association between TyG index and risk of all-cause mortality. Results:During a follow-up of 6.44 (4.70, 8.85) years, 1 037 all-cause deaths (18.39 %) were documented. The cumulative all-cause mortality in Q1- Q4 groups was 16.52%, 16.51%, 17.59% and 22.93%, respectively, and the difference was statistically significant ( χ2=26.49, P<0.01). In the Cox regression model, compared with Q2 group (reference), the HR (95% CI) for all-cause mortality was 1.06 (0.88-1.28) in the Q1 group, 1.23 (1.02-1.48) in the Q3 group and 1.48 (1.23-1.77) in the Q4 group, respectively ( P for trend<0.01). RCS curve analysis showed that when the TyG index was greater than 8.67, the risk of all-cause mortality increased with the TyG index, and there was a linear relationship between TyG index and all-cause mortality in this patient cohort (non-linearity P=0.31). Conclusion:The elevated TyG index is significantly associated with a higher risk for all-cause mortality in elderly hypertension and coronary artery disease patients.

Objective:To explore the status of coronavirus disease 2019 (COVID-19) vaccines, safety and the influencing factors of adverse reactions in maintenance hemodialysis (MHD) patients.Methods:The study was a retrospective study. The MHD patients vaccinated with COVID-19 vaccines in Tianjin city from January 2020 to July 2022 were enrolled in the study. The data of general information, vaccination situation, adverse reactions, and laboratory tests before and after vaccination were collected. Logistic regression analysis was used to analyze the risk factors of adverse reactions after vaccination.Results:A total of 7 375 patients were registered to receive hemodialysis treatment in Tianjin city, of whom 1 036 patients (14.05%) vaccinated with COVID-19 vaccines were enrolled from 53 hemodialysis centers in the study, with age of (54.00±13.27) years old (17-88 years old), and 676 males (65.25%). There were 171 patients (16.51%) receiving the first dose of vaccines only, 464 patients (44.79%) receiving two doses of vaccines, 401 patients (38.71%) receiving three doses of vaccines, and 67 patients (6.47%) had adverse reactions. No serious adverse reaction occurred. The number of neutrophils after vaccination was lower than that before vaccination ( P < 0.05), while the number of lymphocytes, alanine aminotransferase, glutamic oxaloacetic aminotransferase, and serum albumin after vaccination were higher than those before vaccination (all P < 0.05). Logistic regression analysis showed that age ( OR=0.967, 95% CI 0.946-0.990, P=0.005), previous allergic history ( OR=0.013, 95% CI 0.001-0.151, P < 0.001), serum uric acid ( OR=1.004, 95% CI 1.001-1.008, P=0.020), numbers of vaccinations administered ( OR=0.505, 95% CI 0.330-0.774, P=0.002), leukocytes ( OR=0.766, 95% CI 0.628-0.935, P=0.009) and lymphocytes ( OR=0.082, 95% CI 0.045-0.148, P < 0.001) were independently correlated with the incidence of adverse reactions. Conclusions:The proportion of MHD patients vaccinated with COVID-19 vaccines is 14.05%. The incidence of adverse reactions is 6.47%, and there is no serious adverse reaction. Age, previous allergic history, serum uric acid, and numbers of vaccinations administered, leukocytes and lymphocytes are independently correlated with the incidence of adverse reactions in MHD patients.

Female ; Humans ; Pregnancy ; Septate Uterus ; Uterus/surgery* ; Hysteroscopy/methods* ; Estrogens ; Tissue Adhesions/surgery* ; Randomized Controlled Trials as Topic ; Multicenter Studies as Topic

Objective: To investigate the incidence of microvascular myocardial ischemia in diabetic patients without obstructive coronary artery disease (CAD) and its relationship with angina. Materials and Methods: Diabetic patients and an intermediate-to-high pretest probability of CAD were prospectively enrolled. Non-diabetic patients but with an intermediate-to-high pretest probability of CAD were retrospectively included as controls. The patients underwent dynamic computed tomography-myocardial perfusion imaging (CT-MPI) and coronary computed tomography angiography (CCTA) to quantify coronary stenosis, myocardial blood flow (MBF), and extracellular volume (ECV). The proportion of patients with microvascular myocardial ischemia, defined as any myocardial segment with a mean MBF ≤ of 100 mL/min/100 mL, in patients without obstructive CAD (Coronary Artery Disease–Reporting and Data System [CAD-RADS] grade 0–2 on CCTA) was determined. Various quantitative parameters of the patients with and without diabetes without obstructive CAD were compared. Multivariable analysis was used to determine the association between microvascular myocardial ischemia and angina symptoms in diabetic patients without obstructive CAD. Results: One hundred and fifty-two diabetic patients (mean age: 59.7 ± 10.7; 77 males) and 266 non-diabetic patients (62.0 ± 12.3; 167 males) were enrolled; CCTA revealed 113 and 155 patients without obstructive CAD, respectively. For patients without obstructive CAD, the mean global MBF was significantly lower for those with diabetes than for those without (152.8 mL/min/100 mL vs. 170.4 mL/min/100 mL, P < 0.001). The mean ECV was significantly higher for diabetic patients (27.2% vs. 25.8%, P = 0.009). Among the patients without obstructive CAD, the incidence of microvascular myocardial ischemia (36.3% [41/113] vs. 10.3% [16/155], P < 0.001) and interstitial fibrosis (69.9% [79/113] vs. 33.3% [8/24], P = 0.001) were significantly higher in diabetic patients than in the controls. The presence of microvascular myocardial ischemia was independently associated with angina symptoms (adjusted odds ratio = 3.439, P = 0.037) in diabetic patients but without obstructive CAD. Conclusion Dynamic CT-MPI + CCTA revealed a high incidence of microvascular myocardial ischemia in diabetic patients without obstructive CAD. Microvascular myocardial ischemia is strongly associated with angina.