Medical Examination Center Research Articles

Assessment Study of ChatGPT-3.5's Performance on the Final Polish Medical Examination: Accuracy in Answering 980 Questions.

The use of artificial intelligence (AI) in education is dynamically growing, and models such as ChatGPT show potential in enhancing medical education. In Poland, to obtain a medical diploma, candidates must pass the Medical Final Examination, which consists of 200 questions with one correct answer per question, is administered in Polish, and assesses students' comprehensive medical knowledge and readiness for clinical practice. The aim of this study was to determine how ChatGPT-3.5 handles questions included in this exam. This study considered 980 questions from five examination sessions of the Medical Final Examination conducted by the Medical Examination Center in the years 2022-2024. The analysis included the field of medicine, the difficulty index of the questions, and their type, namely theoretical versus case-study questions. The average correct answer rate achieved by ChatGPT for the five examination sessions hovered around 60% and was lower (p < 0.001) than the average score achieved by the examinees. The lowest percentage of correct answers was in hematology (42.1%), while the highest was in endocrinology (78.6%). The difficulty index of the questions showed a statistically significant correlation with the correctness of the answers (p = 0.04). Questions for which ChatGPT-3.5 provided incorrect answers had a lower (p < 0.001) percentage of correct responses. The type of questions analyzed did not significantly affect the correctness of the answers (p = 0.46). This study indicates that ChatGPT-3.5 can be an effective tool for assisting in passing the final medical exam, but the results should be interpreted cautiously. It is recommended to further verify the correctness of the answers using various AI tools.

Correlation between bone mineral density and type 2 diabetes mellitus in elderly men and postmenopausal women

The relationship between bone mineral density and type 2 diabetes is still controversial. The aim of this study is to investigate the relationship between type 2 diabetes mellitus (T2DM) and bone mineral density (BMD) in elderly men and postmenopausal women. The participants in this study included 692 postmenopausal women and older men aged ≥ 50 years, who were divided into the T2DM group and non-T2DM control group according to whether or not they had T2DM. The data of participants in the two groups were collected from the inpatient medical record system and physical examination center systems, respectively, of the Tertiary Class A Hospital. All data analysis is performed in SPSS Software. Compared with all T2DM group, the BMD and T scores of lumbar spines 1–4 (L1–L4), left femoral neck (LFN) and all left hip joints (LHJ) in the non-T2DM group were significantly lower than those in the T2DM group (P < 0.05), and the probability of major osteoporotic fracture in the next 10 years (PMOF) was significantly higher than that in T2DM group (P < 0.001). However, with the prolongation of the course of T2DM, the BMD significantly decreased, while fracture risk and the prevalence of osteoporosis significantly increased (P < 0.05). We also found that the BMD of L1-4, LFN and LHJ were negatively correlated with homeostatic model assessment-insulin resistance (HOMA-IR) (P = 0.028, P = 0.01 and P = 0.047, respectively). The results also showed that the BMD of LHJ was positively correlated with indirect bilirubin (IBIL) (P = 0.018). Although the BMD was lower in the non-T2DM group than in the T2DM group, the prolongation of the course of T2DM associated with the lower BMD. And the higher prevalence of osteoporosis and fracture risk significantly associated with the prolongation of the course of T2DM. In addition, BMD was significantly associated with insulin resistance (IR) and bilirubin levels in T2DM patients.Registration number: China Clinical Trials Registry: MR-51-23-051741; https://www.medicalresearch.org.cn/search/research/researchView?id=c0e5f868-eca9-4c68-af58-d73460c34028.

The potential of ChatGPT in medicine: an example analysis of nephrology specialty exams in Poland.

In November 2022, OpenAI released a chatbot named ChatGPT, a product capable of processing natural language to create human-like conversational dialogue. It has generated a lot of interest, including from the scientific community and the medical science community. Recent publications have shown that ChatGPT can correctly answer questions from medical exams such as the United States Medical Licensing Examination and other specialty exams. To date, there have been no studies in which ChatGPT has been tested on specialty questions in the field of nephrology anywhere in the world. Using the ChatGPT-3.5 and -4.0 algorithms in this comparative cross-sectional study, we analysed 1560 single-answer questions from the national specialty exam in nephrology from 2017 to 2023 that were available in the Polish Medical Examination Center's question database along with answer keys. Of the 1556 questions posed to ChatGPT-4.0, correct answers were obtained with an accuracy of 69.84%, compared with ChatGPT-3.5 (45.70%, P=.0001) and with the top results of medical doctors (85.73%, P=.0001). Of the 13 tests, ChatGPT-4.0 exceeded the required ≥60% pass rate in 11 tests passed, and scored higher than the average of the human exam results. ChatGPT-3.5 was not spectacularly successful in nephrology exams. The ChatGPT-4.0 algorithm was able to pass most of the analysed nephrology specialty exams. New generations of ChatGPT achieve similar results to humans. The best results of humans are better than those of ChatGPT-4.0.

Muscle strength in ostensibly healthy non-diabetic subjects

Background/purposeSarcopenia and decreased muscle strength (dynapenia) are emerging health issues. However, the study exploring muscle strength changes of both upper and lower limbs at the same time among all age groups is rare. This study aims to investigate the muscle strength and to establish a muscle strength norm of an ostensibly healthy non-diabetic Asian population. MethodsFrom 2018 June to 2020 March, subjects (aged from 20 to <80 years old) undergoing health checkup in Good Liver Medical Examination Center and National Taiwan University Hospital Geriatrics and Gerontology Department were enrolled. A battery of muscle power examinations including handgrip strength (HGS), five times sit-to-stand test (5TSTS), and one-leg standing test (OLST) were performed. ResultsA total of 183 participants was enrolled, consisting of 92 females and 91 males. The finding shows the strongest HGS, best 5TSTS, and the longest OLST of both genders appeared in the 20-29-year-old group. Age, gender, and palm length are significantly related to HGS, whereas age is the only factor affecting 5TSTS and OLST. It revealed a progressive decline during ageing process, especially after age 60. Finally, Z-score and T-score norms of these were established. ConclusionThese data will be useful as normal controls for muscle strength of specific disease groups. The application of the cutoffs from these data and their comparisons with the recommended cutoffs from various guidelines worth further exploration.

The Combination of Remnant Cholesterol and Waist Circumference Offers Predictive Value for Nonalcoholic Fatty Liver Disease: A Cross-Sectional Study from a Medical Examination Center.

To explore the association between levels of remnant cholesterol (RC) and the incidence of non-alcoholic fatty liver disease (NAFLD) in the general population, ultimately leading to the assessment of a novel proposed model combining RC and waist circumference (R-W) as a predictor of NAFLD incidence. A cross-sectional analysis was conducted of 4913 subjects undergoing physical examinations at Hebei General Hospital, with ultrasound findings being used to classify patients into individuals with and without NAFLD. Median RC values were used to separate subjects into those with low and high levels of RC, after which the predictive performance of RC and the novel R-W model when used to assess NAFLD risk was assessed through multifactorial logistic regression analyses and receiver operating characteristic curves. Subjects exhibiting higher RC levels were found to exhibit an elevated risk of NAFLD incidence with or without adjusting for confounding factors. The binary logistic regression analysis-based R-W model may thus offer utility as a tool to gauge the risk of NAFLD in the general population, as it outperformed RC or WC alone, particularly when assessing women or individuals < 45 years of age. The area under the ROC curve for this combined R-W model was 0.813 (0.802, 0.824), with respective sensitivity and specificity values of 83.86% and 63.91%, all of which were significantly higher than corresponding values for RC and WC (P < 0.001). The present supports a strong association between RC levels and NAFLD in the general populace, and the combined R-W model exhibits greater utility as a tool to predict NAFLD incidence relative to RC or WC in isolation, particularly for individuals who are female or <45 years old.

Influence of metabolic syndrome and lifestyle factors on thyroid nodules in Chinese adult men: a cross-sectional study.

Given the high prevalence of thyroid nodules and the potential for malignancy, it is imperative to understand the various factors that contribute to their development. This study aimed to explore the relationship between metabolic syndrome, lifestyle, and thyroid nodules in adult men in southern China. This study enrolled a total of 183,990 subjects at a medical examination center in a general hospital in southern China between January 1, 2015, and December 31, 2020. Multivariate logistic regression analysis was utilized to evaluate the relationship between metabolic syndrome, lifestyle factors, and thyroid nodules. Furthermore, structural equation modeling elucidated the intricate relationships among these variables. The prevalence of thyroid nodules among Chinese adult males was 14.9%. Several factors were identified as risk factors for thyroid nodules, including advanced age, irregular meal time, smoking or quitting smoking, quitting drinking, heavy manual labor, hypertension, diabetes, dyslipidemia and centripetal obesity, and those belonging to ethnic minorities and drinking alcohol were found to be protective factors against thyroid nodules. Structural equation modeling highlighted metabolic syndrome's mediating role amidst lifestyle influences on thyroid nodules. The prevalence of thyroid nodules in Chinese adult males is relatively moderate to low. The factors identified in this study can help clinicians identify high-risk patients and develop targeted screening strategies for the timely detection of thyroid nodules. However, further mechanistic research and longitudinal studies are necessary to explore the underlying causes and establish causal relationships.

An early screening model of pulse detection technology for hepatic steatosis

BackgroundThe increasing prevalence of hepatic steatosis presents a considerable challenge to public health. There is a critical need for the development of novel preventive and screening strategies for this condition. This study evaluated the potential applications of wrist pulse detection technology for the early detection of liver diseases. The pulse time-domain features of a medical exam population with and without hepatic steatosis were assessed to develop a screening model for this disease. MethodsParticipants were consecutively recruited from March 2021 to March 2022 in the medical examination centers of the Yueyang Hospital of Integrated Traditional Chinese and Western Medicine and the Shanghai Municipal Hospital of Traditional Chinese Medicine. Clinical data from 255 participants, including general information (sex, age, and body mass index), and data related to glucose and blood lipids (fasting plasma glucose, triglyceride, total cholesterol, high-density lipoprotein, and low-density lipoprotein levels) were collected. Wrist pulse signals were acquired using a pulse detection device, and the pulse time-domain features, including t1, t4, t5, T, w1, w2, h2/h1, h3/h1, and h5/h1 were extracted. Participants were assigned to hepatic steatosis and non-hepatic steatosis groups according to their abdominal ultrasound examination results. Their clinical data and pulse time-domain features were compared using chi-square and parametric or non-parametric statistical methods. Three datasets were used to construct screening models for hepatic steatosis based on the random forest algorithm. The datasets for modeling were defined as Dataset 1, containing blood glucose and lipid data and general information; Dataset 2, containing time-domain features and general information; Dataset 3, containing time-domain features, blood glucose and lipid data, and general information. The evaluation metrics, accuracy, precision, recall, F1-score, and areas under the receiver operating characteristic curve (AUC) were compared for each model. ResultsThe time-domain features of the two groups differed significantly. The t1, t4, t5, T, h2/h1, h3/h1, w1, and w2 features were higher in the hepatic steatosis group than in the non-hepatic steatosis group (P < 0.05), while the h5/h1 features were lower in the hepatic steatosis group than in the non-hepatic steatosis group (P < 0.05). The screening models for hepatic steatosis based on both time-domain features and blood glucose and lipid data outperformed those based on time-domain features or blood markers alone. The accuracy, precision, recall, F1-score, and AUC of the combined model were 81.18%, 80.56%, 76.32%, 79%, and 87.79%, respectively. These proportions were 1.57%, 1.86%, 1.76%, 2%, and 3.54% higher, respectively, than those of the model based on time-domain features alone and 3.14%, 4.2%, 2.64%, 4%, and 6.47% higher, respectively, than those of the model based on blood glucose and lipid alone. ConclusionThe early screening model for hepatic steatosis using datasets that included pulse time-domain features achieved better performance. The findings suggest that pulse detection technology could be used to inform the development of a mobile medical device or remote home monitoring system to test for hepatitis steatosis.

Multi-party Diabetes Mellitus risk prediction based on secure federated learning

At present, there is a lack of data exchange between medical institutions at the municipal level in the prevention and control of chronic disease. In this paper, we study Diabetes Mellitus risk prediction based on data securely shared between hospital and medical examination center, where federated learning algorithms are used and security challenges are analyzed. Targeted at a general disease prediction problem, we design customized secure protocols for regression family and tree family algorithms to solve the problem of potential private data leakage. Prediction of diabetes risks is taken as a typical example, and XGBoost, LightGBM, Neural Network, Logistic Regression algorithms are used for joint data modeling between different organizations, with the support from the “Seceum” Federated Learning Platform we first introduced in this paper. Extensive results on two datasets, including computational costs, recall and precision metrics, significant tests, show that using federated learning models we can make better use of the patient data between different organizations and deliver a reliable and improved prediction of Diabetes Mellitus risks.

Urinary trihalomethane concentrations and liver function indicators: a cross-sectional study in China.

While it is known that exposure to disinfection by-products (DBPs), including trihalomethanes (THMs), impairs liver function, few epidemiological studies have explored this association. Here, we determined the concentrations of four urinary trihalomethanes (chloroform [TCM], and three Br-THMs, bromodichloromethane [BDCM], dibromochloromethane [DBCM], and bromoform [TBM]), and nine serum liver function indicators in 182 adults ≥ 18years of age, examined at a medical examination center in Wuxi, China, in 2020 and 2021. Generalized linear model analysis revealed positive associations between urinary DBCM and alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bilirubin (TBIL), total protein (TP), and albumin (ALB). Urinary Br-THMs and total THMs (TTHMs) were positively associated with ALT, AST, TBIL, indirect bilirubin (IBIL), TP, and ALB (all P < 0.05). Urinary THMs were not associated with alkaline phosphatase (ALP) or glutamine transaminase (GGT) (all P > 0.05). Generalized additive model-based penalized regression splines were used to confirm these associations. In conclusion, THM exposure was associated with altered serum biomarkers of liver function.

PS-BPC11-3: INVESTIGATION OF THE EFFECT OF VISCERAL FAT ON THE CHRONIC KIDNEY DISEASE DEVELOPMENT AND PROGRESSION IN MEDICAL CHECKUP PARTICIPANTS

Objective: Many factors including obesity were reported as risk factors for development and progression of chronic kidney disease (CKD). However, there is a possibility that the effects of risk factors on the progression of renal dysfunction in CKD patients and the development of CKD are different. We aimed to evaluate the relationships of visceral fat area (VFA) and changes in kidney function in medical checkup participants stratified by the presence of CKD for investigation of the effect of visceral fat on CKD development and progression. Design and method: Study design: Retrospective cohort study. Setting: Routine medical checkups at two medical examination centers in Takeda Hospital Group. Participants: Subjects who underwent VFA measurements during medical checkups in 2012. The follow-up period was from April 2012 to March 2018. Exposures: VFA (≧ 100 cm2). Main outcomes: Changes in estimated glomerular filtration rate (eGFRcr). Statistical analysis: The relationships between VFA and eGFRcr were evaluated using a linear mixed effects model in the participants stratified by the presence of CKD. We defined CKD as eGFR &lt; 60 mL/min/1.73 m2 in this study. Results: Analysis was performed on total 2,753 subjects (age [mean ± SD] 50.3 ± 10.0 years). The non-CKD group was composed of 2,516 subjects (age 49.5 ± 9.67 years, 1,277 men, 1,239 women), and the CKD group was composed of 237 subjects (age 59.5 ± 8.48 years, 142 men, 95 women). In the total subjects the VFA ? 100 cm2 group exhibited a larger annual difference in eGFRcr compared to the &lt; 100 cm2 group (-0.24 mL/min/1.73 m2, p = 0.03). Although the difference of annual eGFRcr change in the non-CKD group was not statistically significant, VFA? 100 cm2 was associated with larger annual declines in eGFRcr in both CKD and non-CKD groups as compared to VFA &lt; 100 cm2 (-0.64 mL/min/1.73 m2, p = 0.01, and -0.20 mL/min/1.73 m2, p = 0.10). Conclusions: In the CKD group VFA ≧ 100 cm2 was significantly associated with a greater annual decline in eGFRcr. This significant difference of eGFRcr decline in the CKD group suggests the effect of visceral fat as a modifiable risk factor for CKD progression.

Evolution of Teaching Radiology on Medical Students

Ionizing radiation is widely used in the field of medicine both for diagnosis and treatment. So, Understanding the principles of radiation safety and how to apply them in clinical practice is critical for medical and paramedical staff The study was conducted to assess the knowledge of nursing staff about ionizing radiation and protection from ionizing radiation during the diagnostic and therapeutic examination. In this study, a quantitative descriptive approach and a comprehensive review of previous studies were followed in order to emphasize the importance of teaching medical physics and ionizing radiation science because of its extremely important impact on the nursing staff working in medical institutions and radiological examination centers of both types, diagnostic and therapeutic. Through this study, we noticed that the paramedical staff's knowledge of physics and technology was not sufficient, and from our point of view, it does not meet the needs of healthcare institutions that require a deep understanding of tools and equipment that depend on the principles and laws of physics. We also expect that the nursing staff's lack of knowledge of the physical foundations and laws that are used may have a negative impact on the patients' condition in clinical practice. Thus, there is a need to improve nursing students' knowledge of physics by changing the way biophysics is taught in the nursing curriculum.

A deep-learning model for the assessment of coronary heart disease and related risk factors via the evaluation of retinal fundus photographs

Objective: To develop and validate a deep learning model based on fundus photos for the identification of coronary heart disease (CHD) and associated risk factors. Methods: Subjects aged>18 years with complete clinical examination data from 149 hospitals and medical examination centers in China were included in this retrospective study. Two radiologists, who were not aware of the study design, independently evaluated the coronary angiography images of each subject to make CHD diagnosis. A deep learning model using convolutional neural networks (CNN) was used to label the fundus images according to the presence or absence of CHD, and the model was proportionally divided into training and test sets for model training. The prediction performance of the model was evaluated in the test set using monocular and binocular fundus images respectively. Prediction efficacy of the algorithm for cardiovascular risk factors (e.g., age, systolic blood pressure, gender) and coronary events were evaluated by regression analysis using the area under the receiver operating characteristic curve (AUC) and R2 correlation coefficient. Results: The study retrospectively collected 51 765 fundus images from 25 222 subjects, including 10 255 patients with CHD, and there were 14 419 male subjects in this cohort. Of these, 46 603 fundus images from 22 701 subjects were included in the training set and 5 162 fundus images from 2 521 subjects were included in the test set. In the test set, the deep learning model could accurately predict patients' age with an R2 value of 0.931 (95%CI 0.929-0.933) for monocular photos and 0.938 (95%CI 0.936-0.940) for binocular photos. The AUC values for sex identification from single eye and binocular retinal fundus images were 0.983 (95%CI 0.982-0.984) and 0.988 (95%CI 0.987-0.989), respectively. The AUC value of the model was 0.876 (95%CI 0.874-0.877) with either monocular fundus photographs and AUC value was 0.885 (95%CI 0.884-0.888) with binocular fundus photographs to predict CHD, the sensitivity of the model was 0.894 and specificity was 0.755 with accuracy of 0.714 using binocular fundus photographs for the prediction of CHD. Conclusion: The deep learning model based on fundus photographs performs well in identifying coronary heart disease and assessing related risk factors such as age and sex.

Comparison of different combinations of antibodies and labeled fluorescein in the detection of lymphocyte subsets by flow cytometry.

Flow cytometry is a classical method for analyzing human peripheral blood lymphocyte subsets. This study aims to explore a new combination of antibody and labeled fluorescein for detecting lymphocyte subsets by comparing the effects of different combinations of antibody and labeled fluorescein in flow cytometry. We conducted a prospective study and enrolled 362 healthy patients undergoing physical examination in the medical examination center of the third hospital of hebei medical university. Venous blood was drawn from volunteers at the same time in the morning and divided into 3 tubes (Tube A, Tube B and Tube C). T lymphocytes were detected by 3-colors method (CD4-FITC/CD8-PE/CD3-PC5) in Tube A, B lymphocytes were detected by 2-colors method (CD19-FITC/CD3-PE) in Tube B, and T lymphocytes and B lymphocytes were detected by 4-colors method (CD4-FITC/CD8-PE/CD3-PC5/CD19-FITC) in Tube C. The repeatability and accuracy of the test scheme for Tube C shall not be inferior to that of Tube A and Tube B. There were no significant difference in the results of CD3 + and CD4+/CD8 + between Tube A and C, as well as in the results of CD3 + and CD19 + between Tube B and C. Pearson correlation analysis showed that the test results of a and C and B and C were highly correlated. The 4-colors method (CD4-FITC/CD8-PE/CD3-PC5/CD19-FITC) can detect T lymphocytes and B lymphocytes at the same time, reduce the use of fluorescence channels and save the detection cost, which is worthy of recommendation.

The association of remnant cholesterol (RC) and interaction between RC and diabetes on the subsequent risk of hypertension.

PurposeWhether elevated remnant cholesterol (RC) is associated with hypertension (HTN) and whether elevated RC interacts with diabetes on the subsequent risk of HTN have not been illustrated. Thus, this study is aimed to investigate the associations and interactions of RC, diabetes, and the management of cardiovascular risk factors with the risk of incident HTN in a Chinese population.Patients and methodsThis cohort study included 42,994 individuals who participated in the routine health check-up from April 2016 to August 2020 and follow-ups from April 2017 to August 2021 at the Medical Examination Center of Beijing Chao-Yang Hospital. RC was divided into quintiles as follows: the < 20% group, the 20–39% group, the 40–59% group, the 60–79% group, and the ≥ 80% group. This study finally included 17,006 participants who were free from HTN at baseline.ResultsThis study had 1,861 (10.90%) HTN occurred, 205 (5.30%) in the first quintile of RC, 335 (8.98%) in the second quintile of RC, 388 (11.17%) in the third quintile of RC, 420 (13.42%) in the fourth quintile of RC, and 513 (17.91%) in the fifth quintile of RC. Compared with participants in the first quintile of RC, participants in the fifth quintile of RC showed a greater risk of HTN events among participants with diabetes [hazard ratio (HR), 4.95; 95% confidence interval (CI), 1.05–23.39; P = 0.0432) than among participants without diabetes (HR, 1.67; 95% CI, 1.26–2.22, P = 0.0004; P for interaction = 0.0420). Compared with participants without diabetes, participants with diabetes who have the ideal management of RC and other risk factors showed no excess risk of HTN.ConclusionsElevated RC is significantly predictive of HTN among the diabetic population. RC and diabetes interacted with each other on the subsequent risk of HTN, and the desired management of RC, glucose, and cardiovascular risk factors on HTN risk was quite favorable.

The importance of intranasal trigeminal event-related potentials test for patients with olfactory dysfunction

Objective: To analyze the characteristics of trigeminal event-related potentials (tERPs) in different kinds of olfactory disorders (OD), and to evaluate the importance of tERPs for the patients with olfactory dysfunction. Methods: Clinical data of 314 patients with olfactory dysfunction from the Smell and Taste Clinics in Beijing Anzhen Hospital from 2015 to 2021 were retrospectively reviewed, including 158 males and 156 females, aging from 6 to 78 years. The control group consisted of healthy people from medical examination center, who were gender and age matched. The clinical characteristics of OD were analyzed using Sniffin' Sticks test, olfactory event-related potentials (oERPs), tERPs and acoustic rhinometry test. SPSS 17.0 software was used to compare the difference of tERPs between the two groups, and to analyze the related factors affecting trigeminal function. Results: The ratio of tERPs presence was different in OD caused by different reasons: head traumatic OD (54.9%), post-virus infection OD (63.6%), sinonasal inflammatory OD (68.4%) and OD due to other causes (56.9%). Compared with controls, tERPs signals in OD patients showed a significant lower amplitude in the N1 wave (all P<0.001), and lower amplitude in the P2 wave in most OD patients (head trauma t=-4.11, P<0.001; sinonasal inflammation t=-2.04, P=0.046; others t=-2.40, P=0.020) except in OD by post-virus infection (t=-1.98, P=0.052). tERPs signals in OD patients by sinonasal inflammation showed longer latency in the N1 wave (t=2.15, P=0.036), but this difference was not observed in other OD patients (all P>0.05). tERPs signals were significantly correlated with the Sniffin' Sticks score, deficiency of oERPs and nasal minimum cross-sectional area (all P<0.05). Conclusions: OD patients show neurophysiologic deficits in trigeminal function. The absence of tERPs or lower amplitude in N1 waves are the important characteristics of patients with OD.

Influence of zinc levels and Nrf2 expression in the clinical and pathological changes in patients with diabetic nephropathy

ObjectiveWe investigated the correlation between zinc levels and Nrf2 expression and potential effects on the clinicopathology of patients with diabetic nephropathy (DN).MethodsWe selected 30 patients with DN, diagnosed via renal biopsy at our hospital from March 2018 to November 2019, and enrolled 30 healthy individuals from a medical examination center as the control group. Patients with DN were divided into normal-zinc and low-zinc groups. We detected the levels of zinc, copper, and Nrf2 mRNA in their serum, and collected the clinical and pathological data of DN patients.ResultsSerum zinc level and Nrf2 mRNA expression were significantly decreased in patients with DN compared to those of healthy people (P < 0.05). Of the 30 patients, 16 had low zinc (53.3%) and 14 had normal zinc levels (46.7%). There was no significant difference in the blood Nrf2 mRNA expression between the two groups (P > 0.05). However, the expression of Nrf2 in the kidney tissue of the low-zinc group was significantly lower compared to the normal-zinc group (P < 0.05). Diastolic blood pressure and copper levels were significantly higher in the low-zinc group (P < 0.05). In contrast, body mass index, red blood cell count, Hb level, and the ratio of zinc to copper were significantly lower in the low-zinc group (P < 0.05). The pathological classifications of the low-zinc group were more severe (P < 0.05).ConclusionPatients with DN were more likely to have zinc deficiency and lower expression of Nrf2. Additionally, DN patients with zinc deficiency were prone to have more severe clinical and pathological manifestations.

Von Willebrand factor (vWF) in patients with heart failure with preserved ejection fraction (HFpEF): A retrospective observational study.

Heart failure with preserved ejection fraction (HFpEF) is associated with endothelial damage and inflammation. In addition, von Willebrand factor (vWF) has been discovered as a biomarker of endothelial dysfunction. Therefore, the study aims to investigate the association between vWF level and HFpEF. Moreover, we analyzed a potential correlation between vWF and inflammatory factors, such as C-reactive protein (CRP), tumor necrosis factor-alpha (TNF-α), and interleukin (IL)-6.We recruited altogether 272 hospitalized patients from The Fifth Affiliated Hospital of Xinjiang Medical University, 88 of whom were HFpEF patients, 88 were non-heart failure patients, and 96 were healthy controls from the medical examination center of the hospital. Enzyme-linked immunosorbent assay and double antibody sandwich immunochromatography were used for testing vWF, tissue plasminogen activator, galectin-3, nitric oxide, TNF-α, IL-6, and CRP.The HFpEF group’s levels of vWF, IL-6, TNF-α, CRP, tissue plasminogen activator, galectin-3, and nitric oxide were statistically higher than those of non-heart failure and healthy control ones (F = 403.563, 21.825, 20.678, 39.609, 35.411, 86.407, 74.605; all P = .000). the highest level of vWF was observed in class IV (New York Heart Association) of HFpEF patients and the significant difference is <.05 (P < .001). An increasing level of vWF were shown in groups (CRP: CRP >3 mg/L group and CRP ≤3 mg/L group; IL-6: IL-6 <7.0 pg/mL group and IL-6 ≥7.0 pg/mL group; TNF-α: TNF-α <5.5 pg/mL group and TNF-α ≥5.5 pg/mL group) with higher level of IL-6, TNF-α, CRP. A multiple regression analysis regarding the relationship of vWF and inflammation markers was performed among the HFpEF patients. Further, statistical significance of the analysis remained after adjusting variables such as body mass index, low-density lipoprotein cholesterol, total cholesterol, coronary artery disease, and type 2 diabetes mellitus (β = 0.406, t = 4.579, P < .001; β = 0.323, t = 3.218, P < .001; β = 0.581, t = 6.922, P < .001).Our study shows that elevated vWF levels are associated with HFpEF, and it may serve as a potential biomarker for HFpEF severity. We also found that increased vWF levels are positively correlated to IL-6, TNF-α, and CRP, which may provide a clue for further researching the pathogenesis of HFpEF.

The abundance of bifidobacterium in relation to visceral obesity and serum uric acid

Gut microbiome has been shown to play a role in the development of obesity in recent studies. Most of these studies on obesity were based on the BMI classification criteria, which doesn't distinguish Visceral adipose tissue (VAT) from subcutaneous adipose tissue (SAT). Some studies showed that VAT has a higher risk of inducing metabolic diseases than SAT. This study focused on the visceral obesity defined by increased visceral fat area. The present study was designed to investigate the association of visceral obesity with gut predominant microbiota and metabolic status. This study included 372 healthy individuals from medical examination center in Shulan Hangzhou Hospital. Quantitative polymerase chain reaction (q-PCR) technique was used to detect ten kinds of gut predominant bacteria in fresh feces. Visceral fat area (VFA) was measured by the bioimpedance analyzer (INBODY720, Korea). The abundance of Bifidobacterium significantly decreased in the visceral obesity group. Compared with the lean group, Visceral obesity group had significantly higher levels of LDL, TG, FBG, serum uric acid (SUA) and lower levels of HDL. SUA was an independent impact factor for Bifidobacterium. SUA was negatively correlated with Bifidobacterium and positively correlated with VFA. In the mediation analysis, SUA showed significant mediation effect. SUA may be a mediating factor between decreased Bifidobacterium and increased VAT.

Hsa_circ_0056856 in the serum serves as a potential novel biomarker for disease activity in psoriasis.

hsa_circ_0056856 in the serum serves as a potential novel biomarker for disease activity in psoriasis.

Changing Effects of Minimally Invasive Surgical Intervention on ALT, AST, and UA in Patients with Obstructive Sleep Apnea-Hypopnea Syndrome.

Background This study aims at exploring the effect of obstructive sleep apnea–hypopnea syndrome (OSAHS) on the liver and kidney function indexes of patients and analyze the changes in these indexes after minimally invasive surgery. Method Patients with OSAHS (n = 51) who were diagnosed via polysomnography (PSG) and received minimally invasive surgery in the sleep disorders diagnosis and treatment center of the West China Fourth Hospital of Sichuan University from January 2017 to January 2019 were selected as test subjects and placed in the OSAHS group. At the same time, 79 healthy people with no snoring or breathing difficulties were selected from the medical examination center of the hospital as the control group (tested as normal by PSG). These two groups were used to compare the differences in the related indexes of serum liver and kidney function and evaluate the changes in sleep monitoring and related liver and kidney function indexes in patients with OSAHS after minimally invasive surgery. Results The alanine aminotransferase (ALT), aspartate aminotransferase (AST), and uric acid (UA) levels were higher in the OSAHS group (48.98 ± 36.34, 28.88 ± 14.80, and 422.30 ± 98.65, respectively) than in the control group (21.91 ± 11.61, 22.18 ± 6.19, and 330.49 ± 64.45 and t = 6.514, 3.549, and 6.373, respectively; p < 0.05). Of the patients with OSAHS, 17 were followed up for one year. After minimally invasive surgery, ALT decreased from 44.29 ± 20.61 to 26.47 ± 9.91 (t = 4.395), AST decreased from 27.71 ± 8.32 to 21.82 ± 4.81 (t = 3.673), and UA decreased from 397.35 ± 92.14 umol/L to 362.94 ± 106.76 umol/L (t = 2.580), and these differences were statistically significant (p < 0.05).The changes in ALT (r = −0.635) and AST (r = −0.504) were related to the difference in the lowest blood oxygen saturation (p < 0.05), and the change in UA was related to the difference in the apnea–hypopnea index (r = −0.532, p < 0.05). Conclusion There are some abnormalities in liver- and kidney-function-related indexes in patients with OSAHS, and minimally invasive surgery can help to improve liver and kidney function in these patients.