OBJECTIVE: To assess the independent and combined effects of air pollutants, meteorological factors, and greenspace exposure on new tuberculosis (TB) cases. METHODS: TB case data from Shanghai (2013-2018) were obtained from the Shanghai Center for Disease Control and Prevention. Environmental data on air pollutants, meteorological variables, and greenspace exposure were obtained from the National Tibetan Plateau Data Center. We employed a distributed-lag nonlinear model to assess the effects of these environmental factors on TB cases. RESULTS: Increased TB risk was linked to PM _2.5, PM ₁₀, and rainfall, whereas NO ₂, SO ₂, and air pressure were associated with a reduced risk. Specifically, the strongest cumulative effects occurred at various lags: PM _2.5 ( RR = 1.166, 95% CI: 1.026-1.325) at 0-19 weeks; PM ₁₀ ( RR = 1.167, 95% CI: 1.028-1.324) at 0-18 weeks; NO ₂ ( RR = 0.968, 95% CI: 0.938-0.999) at 0-1 weeks; SO ₂ ( RR = 0.945, 95% CI: 0.894-0.999) at 0-2 weeks; air pressure ( RR = 0.604, 95% CI: 0.447-0.816) at 0-8 weeks; and rainfall ( RR = 1.404, 95% CI: 1.076-1.833) at 0-22 weeks. Green space exposure did not significantly impact TB cases. Additionally, low temperatures amplified the effect of PM _2.5 on TB. CONCLUSION Exposure to PM _2.5, PM ₁₀, and rainfall increased the risk of TB, highlighting the need to address air pollutants for the prevention of TB in Shanghai.
China/epidemiology* ; Humans ; Air Pollutants/analysis* ; Tuberculosis/epidemiology* ; Incidence ; Meteorological Concepts ; Particulate Matter/adverse effects* ; Environmental Exposure ; Male ; Female ; Adult ; Air Pollution ; Middle Aged

Objective To compare the diagnostic value of ultrasonography and CT in acute appendicitis.Methods A retrospective analysis was conducted on 279 patients who were diagnosed with acute appendicitis and followed emergency surgery.Patients were divided into different subgroups based on postoperative pathological results and body mass index(BMI),and the pathological results were used as the gold standard to analyze whether there were differences in the diagnostic accuracy of ultrasonography and CT examination for acute appendicitis.Results A total of 279 patients with confirmed acute appendicitis,with 64 cases of simple appendicitis,127 cases of suppurative appendicitis,and 88 cases of gangrenous appendicitis according to pathological classification.The diagnostic accuracy of ultrasonography was 68.75%(44/64),73.22%(93/127),and 81.81%(72/88),respectively.The diagnostic accuracy of CT was 71.87%(46/64),82.67%(105/127),and 90.90%(80/88),respectively.There was no statistically significant difference in diagnostic accuracy between the two examinations(P>0.05).Subgroup analysis based on patient BMI showed that there was no difference in diagnostic accuracy of the two examinations for patients with normal BMI(P>0.05),while for overweight and obese patients,the diagnostic accuracy of CT was better than that of ultrasonography,with a statistical difference(P<0.05).Conclusion There is no difference in the diagnostic accuracy of ultrasonography and CT examinations for acute appendicitis of different pathological types.But for overweight and obese acute appendicitis patients,the diagnostic accuracy of CT examination is superior to ultrasonography.

Objective:To investigate the associations of onset age, diabetes duration, and glycated hemoglobin (HbA1c) levels with ischemic stroke risk in type 2 diabetes patients.Methods:The participants were from Comprehensive Research on the Prevention and Control of the Diabetes in Jiangsu Province. The study used data from baseline survey from December 2013 to January 2014 and follow-up until December 31, 2021. After excluding the participants who had been diagnosed with stroke at baseline survey and those with incomplete information on onset age, diabetes duration, and HbA1c level, a total of 17 576 type 2 diabetes patients were included. Cox proportional hazard model was used to calculate the hazard ratio ( HR) and 95% CI of onset age, diabetes duration, and HbA1c level for ischemic stroke. Results:During the median follow-up time of 8.02 years, 2 622 ischemic stroke cases were registered. Multivariate Cox proportional risk regression model showed that a 5-year increase in type 2 diabetes onset age was significantly associated with a 5% decreased risk for ischemic stroke ( HR=0.95, 95% CI: 0.92-0.99). A 5-year increase in diabetes duration was associated with a 5% increased risk for ischemic stroke ( HR=1.05, 95% CI: 1.02-1.10). Higher HbA1c (per 1 standard deviation increase: HR=1.17, 95% CI: 1.13-1.21) was associated with an increased risk for ischemic stroke. Conclusion:The earlier onset age of diabetes, longer diabetes duration, and high levels of HbA1c are associated with an increased risk for ischemic stroke in type 2 diabetes patients.

To investigate the associations of serum gamma-glutamyl transferase (GGT) levels with the risk of cardiovascular disease (CVD) and its subtypes in patients with type 2 diabetes mellitus (T2DM) in Jiangsu Province.Methods:The participants were enrolled in the Comprehensive Research project regarding 'Prevention and Control of Diabetes' in Jiangsu Province. The baseline survey was conducted from 2013 to 2014, and follow-up until December 31, 2021. After excluding the participants who self-reported with chronic liver disease/stroke/coronary heart disease at baseline survey and those with incomplete information on GGT, a total of 16 147 T2DM patients were included in the final analysis. Cox proportional hazard regression models were used to calculate the hazard ratio ( HR) and their 95% CI of GGT for CVD, myocardial infarction, and stroke. Restricted cubic spline models were applied to analyze the dose-response relationship between GGT and the risk of CVD and its subtypes. Results:During the median follow-up time of 8.02 years, 2 860 CVD cases were registered, including 196 cases of myocardial infarction and 2 730 cases of stroke. Multivariate Cox proportional risk regression model indicated that compared to the lowest serum GGT level group, the highest GGT level group had a 24% increased risk of CVD ( HR=1.24, 95% CI: 1.09-1.41) and a 23% increased risk of stroke ( HR=1.23, 95% CI: 1.08-1.40). The restricted cubic spline model showed a nonlinear dose-response relationship between GGT and the risk of CVD, myocardial infarction, and stroke in T2DM patients. Conclusions:High levels of GGT may be associated with an increased risk of cardiovascular disease in T2DM patients, which needs further exploration and validation in future clinical practice.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

In recent years, the prevalence of gestational diabetes mellitus (GDM) has significantly increased, leading to various adverse outcomes for mothers and their offspring. Early diagnosis and good blood glucose control can significantly improve pregnancy outcomes. Currently, the diagnosis of GDM mainly relies on the oral glucose tolerance test (OGTT), but there are many limitations in clinical application. The new biological marker glycosylated CD59 is a glycosylation product of complement regulatory proteins that can stably exist in body fluids and is linearly related to blood glucose levels, which has the advantages of simple testing and good reproducibility, and has been developed into a stable reagent kit. It has shown good value in the early diagnosis, standard diagnosis, and prediction of pregnancy outcomes of GDM.

Objective To investigate the impact of the Shared Medical Appointment (SMA) model on blood glucose levels and self-management behaviors in patients with gestational diabetes mellitus (GDM). Methods A total of 87 pregnant women diagnosed with GDM at the Obstetrics and Gynecology and Endocrinology Outpatient Departments of the Affiliated Suqian Hospital of Xuzhou Medical University from October 2021 to October 2022 were enrolled and divided into treatment group (n=44) and control group (n=43). The treatment group received SMA-based GDM management, while the control group underwent routine outpatient follow-up. Baseline data, flash glucose monitoring (FGM)-related indicators before and after treatment, and self-management behavior scale scores were compared between the two groups. Results No statistically significant differences were observed between the two groups in age, body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting blood glucose (FBG), blood urea nitrogen (BUN), creatinine (Cr), uric acid (UA), triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and glycated hemoglobin (HbA1c) (P>0.05). After treatment, the time in range (TIR) of glucose was higher in the treatment group than that in the control group, while mean amplitude of glycemic excursions (MAGE), standard deviation of blood glucose (SDBG), coefficient of variation (CV), and mean blood glucose (MBG) were lower in the treatment group (P < 0.05). Within the treatment group, post-treatment TIR was higher, and MAGE, CV, SDBG, and MBG were lower than pre-treatment levels (P < 0.05). In the control group, post-treatment TIR was higher, and SDBG and MBG were lower than pre-treatment levels (P < 0.05). After treatment, the total score and scores for dietary management, exercise management, medication management, and blood glucose monitoring management in the self-management behavior scale were significantly higher in the treatment group than in the control group (P < 0.05). In the treatment group, post-treatment scores for all self-management behaviors were higher than pre-treatment levels, while post-treatment total scores and scores for medication management and blood glucose monitoring management in the control group were higher than pre-treatment levels (P < 0.05). Conclusion SMA management model can comprehensively improve blood glucose levels and enhance self-management behavior capabilities in GDM patients.

Objective: To analyze the characteristics, diagnosis and treatment status of Takotsubo syndrome (TTS) of Chinese patients. Methods: Complete literature review was performed to summarize Chinese TTS cases between 2007 and 2018. Results: A total of 131 literatures were included including 160 TTS patients (age (58.3±14.7) years). There were 137 female patients (85.6%) in this cohort, the age was (59.6±14.0) years. There were 124 cases (77.5%) of stress-evoking factors, of which 83 cases (66.9%) were self-stress factors. There were 97 cases (60.6%) complained of chest pain and 15 cases (9.4%) with syncope. Forty-eight cases (30.0%) presented with cardiogenic shock. CK-MB and cTnT/I increased in 109 cases (80.1%). There were 124 cases (77.5%) presented with ST segment elevation on electrocardiogram, which were common in lead V₂-V₅. Echocardiography results were available in 128 cases (80.0%), reduced left ventricular ejection fraction (<50%) was reported in 78 cases (73.6%). Coronary angiography was performed in 133 patients (83.1%), of which 126 patients (94.7%) had normal coronary arteries or single non-significant stenosis. One hundred and thirty-eight patients (87.3%) were apical type. The misdiagnosis rate on admission was 96.9% (155/160), of which 141 cases (88.1%) were misdiagnosed as acute myocardial infarction. Nitroglycerin was used in 36 patients (30.3%). Angiotensin converting enzyme inhibitor or angiotensin Ⅱ receptor antagonist were used in 38 patients (31.9%). β blockers were used in 46 patients (38.7 %). Dopamine was used in 22 cases (18.5%) and norepinephrine was used in 12 cases (10.1%). Intra-aortic balloon counter pulsation was used in 5 cases (3.1%). Cardiopulmonary resuscitation was performed in 9 cases (5.6%). Cardiac function recovery time was 7 (6, 15) days. The average InterTAK diagnosis score was (51.5±18.1) points, and value was>70 points in 2 cases (1.3%). There were 92 patients in the high-risk group, and there were 3 recurrent TTS cases. Five patients died. Conclusions: TTS incidence tends to be young and dominates in female in China. The misdiagnosis rate is extremely high on admission. Most patients are treated with medication.
Adult ; Aged ; Echocardiography ; Electrocardiography ; Female ; Humans ; Middle Aged ; Stroke Volume/physiology* ; Takotsubo Cardiomyopathy/diagnosis* ; Ventricular Function, Left/physiology*

The nucleocapsid (N) protein of SARS-CoV-2 has been reported to have a high ability of liquid-liquid phase separation, which enables its incorporation into stress granules (SGs) of host cells. However, whether SG invasion by N protein occurs in the scenario of SARS-CoV-2 infection is unknow, neither do we know its consequence. Here, we used SARS-CoV-2 to infect mammalian cells and observed the incorporation of N protein into SGs, which resulted in markedly impaired self-disassembly but stimulated cell cellular clearance of SGs. NMR experiments further showed that N protein binds to the SG-related amyloid proteins via non-specific transient interactions, which not only expedites the phase transition of these proteins to aberrant amyloid aggregation in vitro, but also promotes the aggregation of FUS with ALS-associated P525L mutation in cells. In addition, we found that ACE2 is not necessary for the infection of SARS-CoV-2 to mammalian cells. Our work indicates that SARS-CoV-2 infection can impair the disassembly of host SGs and promote the aggregation of SG-related amyloid proteins, which may lead to an increased risk of neurodegeneration.
Amyloidogenic Proteins/metabolism* ; Amyotrophic Lateral Sclerosis/genetics* ; Animals ; COVID-19 ; Cytoplasmic Granules/metabolism* ; Mammals ; SARS-CoV-2 ; Stress Granules

Objective: To understand the detection rate, epidemic pattern of respiratory syncytial virus (RSV) in hospitalized children with acute lower respiratory tract infection (ALRTI) in China. Methods: From June 2017 to March 2020, a prospective multi-center study on the viral aetiology among hospitalized children with ALRTI was conducted in six pediatrics hospital of North China, Northeast, Northwest, South China, Southeast, and Southwest China. A total of 2 839 hospitalized children with ALRTI were enrolled, and the respiratory specimens were collected from these cases. A multiplex real-time RT-PCR assay were employed to screen the respiratory viruses, and the molecular epidemiological and clinical characteristics of children infected with RSV were analyzed. Results: The positve rate of RSV was 18.6% (528/2 839), and the positive rate of RSV in different regions ranged from 5.5% to 44.3%. The positive rate of RSV in male was higher than that in female (20.2% vs 16.3%), and there was a significant statistically difference between two groups (χ2=6.74, P=0.009). The positive rate of RSV among children under 5 years old was higher than that among children older than 5 years old (22.3% vs 4.5%), and there was a significant statistically difference between two groups (χ2=97.98,P<0.001). The positive rate of RSV among the <6 months age group was higher than that of other age groups (all P<0.05). During January 2018 and December 2019, RSV was detected in almost all through the year, and showed peaks in winter and spring. RSV-positive cases accounted for 17.0% (46/270) among children with severe pneumonia, including 36 cases infected with RSV alone. Conclusion: RSV is an important viral pathogen in children under 5 years old with ALRTI in China. The virus can be detected almost all through the year and reached the peak in winter and spring. RSV could lead to severe pneumonia in children and caused huge threaten to children's health.
Child ; Humans ; Male ; Female ; Infant ; Child, Preschool ; Respiratory Syncytial Virus Infections/epidemiology* ; Child, Hospitalized ; Prospective Studies ; Respiratory Tract Infections/epidemiology* ; Respiratory Syncytial Virus, Human ; China/epidemiology*