Notes

Platythorax advances together with lungs involvement throughout pleuroparenchymal fibroelastosis.
patients with successful occlusion completed postoperative echocardiography, 56 patients completed cardiac function assessment at discharge, and 53 patients who survived up to 30 days post discharge completed clinical follow up by telephone. The NYHA cardiac function at discharge and 30 days after operation were significantly improved as compared to that before operation (P6 000 ng/L (OR=869.11, 95%CI 2.93-258 058.34, P=0.020) were the independent risk factors of mortality at 30 days. Conclusions Percutaneous closure in VSR after AMI is safe and effective. The increase of WBC and NT-ProBNP are the independent risk factors of all-cause mortality at 30 days after operation.Objective To explore the effect of remote "Internet+" interactive management strategy on blood pressure control in patients with hypertension during normalized epidemic prevention and control of COVID-19. Methods This is a randomized controlled study. A total of 394 patients with hypertension who were treated in Chinese People's Liberation Army General Hospital from October 2019 to December 2020 were randomly divided into experimental group (197 cases) and control group (197 cases). The experimental group adopted remote "Internet+" interaction mode to carry out remote blood pressure intervention, and the control group received traditional blood pressure control mode, and the intervention time was 6 months. Evaluation indicators included blood pressure level, blood pressure lowering speed, time to target blood pressure, blood pressure measurement times, communication times with doctors, medication compliance, blood pressure measurement compliance and disease awareness after 6 months of intervention. The evalual group than those in the control group. Conclusions The remote "Internet+" interactive management strategy can effectively improve patients' blood pressure control. The doctor-patient interaction can improve medication compliance and measurement compliance of patients, and help shorten the time to reach the target blood pressure.Objective To develop a set of data elements and standardized definitions of Coronary Artery Disease and Creative Antithrombotic Clinical Research Collaboration (CardiaCare), aiming to facilitate the exchange of disparate data sources, enhance the abilities to support multicenter researches, and subsequently ensure the databases use under standardized process and criteria. Methods The Cardiacare writing committee members reviewed data elements and definitions from published guidelines, clinical trials, databases, and standardized documents, then determined the data elements and standardized definitions, which should be included in CardiaCare. The writing committee also considered the specific domestic clinical management strategies during the establishment of Cardiacare. The resulting documents provide a series of key data elements and standardized definitions used in the management of coronary artery disease patients. Key data elements from CardiaCare could be sorted by clinical management flowsheet and outcome from hospitalization to long-term follow-up. Erastin Results The Cardiacare standardized set comprised 864 data elements from admission to post-hospital follow-up visit. There were 8 tables in the documents, including demographic and admission information (23 elements), medical history and risk factors (102 elements), clinical presentations and diagnosis (22 elements), diagnostic and laboratory tests (111 elements), interventional diagnosis and treatment (118 elements), pharmacological therapy (213 elements), clinical outcomes (161 elements), and special subpopulations (114 elements 87 elements for transcatheter valve replacement and 27 elements with cardiac rehabilitation). Conclusions The Cardiacare standardized data elements set could provide support for real-world clinical research in consecutive data collection and databases mining. A wider applicability in various settings of CardiaCare needs to be explored further.The clinical manifestations, laboratory and imaging results, diagnosis and treatment and prognosis of 5 patients with mucinous adenocarcinoma of the gallbladder were analyzed. It was found that the clinical characteristics of mucinous adenocarcinoma of the gallbladder were very similar to that of gallbladder malignant tumor, and it was difficult to differentiate. Ultrasound guided gallbladder needle biopsy can confirm the diagnosis before surgery. Surgery is still the first choice of treatment. Since laparoscopic surgery has obvious advantages over open surgery, it is recommended to be preferentially used. If the tumor is under T2 stage and has no aggressive metastasis, the prognosis is generally good.Objective To investigate the relationship between V444A mutation of the ABCB11 gene and primary intrahepatic stone (PIS). Methods A total of 164 patients (including 91 males and 73 females, with an average age of (46.0±13.0) years) with PIS and 164 healthy (including 99 males and 65 females, with an average age of (43.8±16.7) years) volunteers were enrolled in this case-control study between October 2017 and June 2019. TaqMan-MGB was used for detecting the V444A polymorphism site of the ABCB11 gene. All the genotypes and allele frequencies were calculated. Pearson chi-squared test was performed to detect the differences in allele and genotype distribution between the two groups. Logistic regression analysis was used to identify genotypes associated with PIS. Results There was no significant difference in age and gender between the two groups(both P>0.05). The distributions of V444A allele and genotype accorded with Hardy-Weinberg equilibrium law (P=0.161), which indicated that the selected control group represented statistically acceptable sample. Two alleles of T and C, and three genotypes of TT, TC and CC were detected in the locus of V444A. The T and C allele frequencies in the PIS group and the control group were 28.4% vs 35.4%, and 71.6% vs 64.6%, respectively. The frequencies of the T and C alleles were not different between the two groups (P=0.054). The frequencies of TT, TC and CC genotypes in the two groups were 5.5%, 45.7%, 48.8%, and 14.6%, 41.5%, 43.9%, respectively, with significant difference between the two groups (P=0.023). Logistic regression analysis revealed the V444A polymorphism (TC heterozygous mutation) was associated with PIS. Conclusion ABCB11 gene polymorphism at the site of V444A may be related to the susceptibility of PIS.Objective To explore risk factors for hyperkalemia in hemodialysis (HD) patients, and establish and verify a risk assessment model of hyperkalemia in HD patients. Methods The clinical data of HD patients who were admitted to the Department of Nephrology of the First Affiliated Hospital of Zhengzhou University between April 2020 and January 2021 were retrospectively collected and divided into training dataset and validation dataset by using the conversion-random number generator. In the training dataset, multivariate logistic regression analysis was used to screen the risk factors for hyperkalemia in HD patients and the factors were scored to establish the risk assessment model. The validation dataset was substituted into the model and the receiver operating characteristic (ROC) curve was drawn and the area under the curve (AUC) was calculated to verify the effectiveness of the risk prediction model in predicting hyperkalemia. Results A total of 502 HD patients were enrolled and further divided into training dataset (n=372) and validation dataset (n=130). There were 268 males and 234 females, with a mean age of (54±13) years. Multivariate logistic regression analysis showed that metabolic acidosis, high potassium diet, history of hyperkalemia, the change of electrocardiogram (ECG), disfunction of vascular access and time interval from last dialysis were risk factors for causing hyperkalemia in patients undergoing HD. Risk assessment model was established based on these risk factors. The AUC of the ROC curve was 0.799. Using 5 as the cut-off value, the sensitivity and specificity for predicting hyperkalemia events was 61.4% and 86.3%, respectively. Conclusion The current study preliminarily established a risk assessment model for hyperkalemia in HD patients, which can help clinicians manage the potassium level of HD patients.Objective To validate the accuracy and consistency of a previously established prediction model for the occurrence of hyperkalemia in non-dialytic chronic kidney disease (CKD) patients. Methods All patients diagnosed with CKD from Outpatient Department of Shanghai Changzheng Hospital during the 4th quarter of 2020 were recruited. Demographic data, clinical characteristics and prediction model-related parameters of the patients were collected and analyzed. Receiver operating characteristic (ROC) curve was drawn to evaluate the effectiveness of the model, and the specificity and sensitivity were calculated based on the cut-off value of 4 obtained from the previous model. The improved Hanley method was used to compare the area under the curve (AUC) between the previously established model and current validation dataset. The calibration curve was drawn to verify the model calibration degree. Results A total of 434 patients diagnosed with non-dialytic CKD were enrolled, among whom 233 were males and 201 were femalbetween the two groups. link2 The results of ROC curve analysis showed that the AUC was 0.914, with the sensitivity of 84.8% and the specificity of 79.8% with the cut-off value of 4. The difference of AUC between the previously established risk assessment model of hyperkalemia in patients with non-dialytic CKD and current validation dataset was not statistically significant (Z=1.924, P=0.054), indicating the good accuracy and consistency of the prediction model. In the calibration curve, when the predicted risk of patients was below 0.4 or above 0.6, the prediction effect of the model was better. Conclusion The previously-constructed hyperkalemia prediction model in non-dialytic CKD patients had good accuracy and consistency, and could be used to evaluate the risk of hyperkalemia in all stages of non-dialytic CKD patients.Objective To investigate the prevalence of hyperkalemia and recurrent hyperkalemia in maintenance hemodialysis patients, and identify the related factors. Methods The general information and clinical data of maintenance hemodialysis patients in the hemodialysis center of the First Affiliated Hospital of Nanjing Medical University from January to December 2020 were collected. According to the level of serum potassium, the patients were divided into normokalemia group and hyperkalemia group. Patients in the hyperkalemia group were further divided into single hyperkalemia group and recurrent hyperkalemia group according to the number of occurrences of hyperkalemia. link3 Then, the prevalence of different serum potassium abnormalities and the related factors were explored. Results Among the 352 patients included in the final analysis, 129 cases (36.6%) were in the normokalemia group [mean age (62±15) years, 99 males] and 223 cases (63.4%) were in the hyperkalemia group [mean age (60±14) years, 153 males]. Multivariate th diabetes or night-time dialysis. It is necessary to monitor serum potassium regularly. In addition, high serum calcium and peak value of serum potassium before hemodialysis are related factors for recurrent hyperkalemia.
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