Objective This study aimed to investigate the potential relationship between urinary metals copper (Cu), arsenic (As), strontium (Sr), barium (Ba), iron (Fe), lead (Pb) and manganese (Mn) and grip strength. Methods We used linear regression models, quantile g-computation and Bayesian kernel machine regression (BKMR) to assess the relationship between metals and grip strength.Results In the multimetal linear regression, Cu (β=-2.119), As (β=-1.318), Sr (β=-2.480), Ba (β=0.781), Fe (β= 1.130) and Mn (β=-0.404) were significantly correlated with grip strength (P < 0.05). The results of the quantile g-computation showed that the risk of occurrence of grip strength reduction was -1.007 (95％ confidence interval:-1.362, -0.652; P < 0.001) when each quartile of the mixture of the seven metals was increased. Bayesian kernel function regression model analysis showed that mixtures of the seven metals had a negative overall effect on grip strength, with Cu, As and Sr being negatively associated with grip strength levels. In the total population, potential interactions were observed between As and Mn and between Cu and Mn (Pinteractions of 0.003 and 0.018, respectively).Conclusion In summary, this study suggests that combined exposure to metal mixtures is negatively associated with grip strength. Cu, Sr and As were negatively correlated with grip strength levels, and there were potential interactions between As and Mn and between Cu and Mn.

In the outbreak of COVID-19,triage procedures based on epidemiology were implemented in a local hospital in Changsha to control the transmission of SARS-CoV-2 and avoid healthcare-associated infection.This re-trospective study analyzed the data collected during the triage period and found that COVID-19 patients were en-riched 7 folds into the Section A designated for patients with obvious epidemiological history.On the other side,nearly triple amounts of visits were received at the Section B for patients without obvious epidemiological history.8 COVID-19 cases were spotted out of 247 suspected patients.More than 50％of the suspected patients were submi-tted to multiple rounds of nucleic acid analysis for SARS-CoV-2 infection.Of the 239 patients who were diagnosed as negative of the virus infection,188 were successfully revisited and none was reported as COVID-19 case.Of the 8 COVID-19 patients,3 were confirmed only after multiple rounds of nucleic acid analysis.Besides comorbidities,delayed sharing of epidemiological history added complexity to the diagnosis in practice.The triaging experience and strategy will be helpful for the control of infectious diseases in the future.

OBJECTIVES: To investigate the difference in intestinal microbiota between preterm infants with neurodevelopmental impairment (NDI) and those without NDI. METHODS: In this prospective cohort study, the preterm infants who were admitted to the neonatal intensive care unit of Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region from September 1, 2019 to September 30, 2021 were enrolled as subjects. According to the assessment results of Gesell Developmental Scale at the corrected gestational age of 1.5-2 years, they were divided into two groups: normal (n=115) and NDI (n=100). Fecal samples were collected one day before discharge, one day before introducing solid food, and at the corrected gestational age of 1 year. High-throughput sequencing was used to compare the composition of intestinal microbiota between groups. RESULTS: Compared with the normal group, the NDI group had a significantly higher Shannon diversity index at the corrected gestational age of 1 year (P<0.05). The principal coordinate analysis showed a significant difference in the composition of intestinal microbiota between the two groups one day before introducing solid food and at the corrected gestational age of 1 year (P<0.05). Compared with the normal group, the NDI group had a significantly higher abundance of Bifidobacterium in the intestine at all three time points, a significantly higher abundance of Enterococcus one day before introducing solid food and at the corrected gestational age of 1 year, and a significantly lower abundance of Akkermansia one day before introducing solid food (P<0.05). CONCLUSIONS There are significant differences in the composition of intestinal microbiota between preterm infants with NDI and those without NDI. This study enriches the data on the characteristics of intestinal microbiota in preterm infants with NDI and provides reference for the microbiota therapy and intervention for NDI in preterm infants.
Infant ; Child ; Infant, Newborn ; Humans ; Child, Preschool ; Infant, Premature ; Prospective Studies ; Gastrointestinal Microbiome ; China ; Infant, Premature, Diseases ; Gestational Age

OBJECTIVE: To investigate the role of multiple serological methods in the identification of complex antibodies. METHODS: The blood group antigens were detected by saline and microcolumn agglutination methods. The saline method was used to screen and identify IgM-type antibodies in the patient's serum, while the polybrene, anti-globulin, microcolumn agglutination, enzymic and absorption-elution methods were used to screen and identify IgG-type antibodies. RESULTS: The patient was B/CCDee/Jk(a-b+)/Fy(a-b+) blood type. The serum reacted with panel cells, and the reaction presented anti-E pattern in the saline medium. It was fully positive in the microcolumn agglutination card, except 2 negative ones after using papain to treat the panel cells. Referring to the pattern table, it was concluded that there existed anti-c, anti-E, and anti-Jk^a antibodies, and one antibody corresponding to an antigen that was easily destroyed by papain. The red blood cells with specific phenotype were selected for absorption-elution to identify IgG-type anti-c, anti-E, anti-Jk^a and anti-Fy^a antibodies. CONCLUSION It is confirmed that IgM-type anti-E, and IgG-type anti-c, anti-E, anti-Jk^a and anti-Fy^a antibodies exist in the patient's serum by multiple serological methods.
Humans ; Papain ; Blood Group Antigens ; Erythrocytes ; Immunoglobulin G ; Immunoglobulin M

Objective To evaluate the predictive value of a combined model based on clinical and radiomics features for the invasiveness of lung adenocarcinoma manifesting as ground glass nodule(GGN).Methods Clinical data of patients with GGN-type lung adenocarcinoma who underwent chest CT and were confirmed by surgical pathology at some hospital from January to December 2019 were analyzed retrospectively,and the extraction of imaging histological features was performed using Python-based open resource Pyradiomics.A clinical model was constructed based on independent risk factors obtained from univariate and multivariate analyses,a radiomics model was built using the screened radiomics features,and a combined model was established with the predictive values of the clinical models and radiomics scores(Radscore).The predictive performance of the three models in the training and test sets was assessed using ROC curves,the statistical significance of the differences in the ROC curves of the three models for predicting GGN-type lung adenocarcinoma was assessed using the Delong test,and the net benefits of the models were analyzed using clinical decision curves.Results Logistic multifactor analysis showed that age(P=0.020 2)and vascular characteristics(P=0.002 2)were the independent predictors of the degree of the invasiveness of lung adenocarcinoma.The AUCs of the radiomics model,clinical model and combined model were 0.876,0.867 and 0.904 on the training set,and 0.828,0.828 and 0.864 on the test set,respectively.The difference between the ROC curves of the combined model and the clinical and radiomics models was not statistically significant(P>0.05)on the test set.Clinical decision curves showed a higher clinical benefit when using the combined model to predict the invasiveness under most conditions of threshold probability.Conclusion The combined model based on clinical and radiomics features enhances the predictive performance for the invasiveness of GGN-type lung adenocarcinoma.

A 7-day-old male neonate was admitted due to testing positive for SARS-CoV-2. The neonate was born through cesarian section at 40 weeks and 2 days of gestation. His mother was diagnosed with coronavirus disease 2019 (COVID-19) caused by Omicron variant infection 1 day before delivery. The neonate was separated from his mother after birth and was taken care of by his father. Three days after the neonate was born, his father was also diagnosed with COVID-19. The neonate was diagnosed with COVID-19 on day 7 of life. The neonate presented with hyperpyrexia, dyspnea, hypoxia, and feeding difficulties, and the chest CT showed the coexistence of consolidation and ground glass-like changes mainly located below the posterior pleura. He was given symptomatic support treatment such as low flow oxygen therapy and posture management after admission. He was cured and discharged after 10 days of hospitalization. This is the first reported case of neonatal severe COVID-19 caused by Omicron variant infection in China. It is necessary to take appropriate protective measures for the neonate to prevent infection when the mother or caregiver of the neonate is a suspected or confirmed cases of COVID-19.
Infant, Newborn ; Pregnancy ; Female ; Humans ; Male ; COVID-19 ; SARS-CoV-2 ; Hospitalization ; Mothers ; Pregnancy Complications, Infectious

In this paper, the extraction rate of crude polysaccharides and the yield of polysaccharides from Hippocampus served as test indicators. The comprehensive evaluation indicators were assigned by the R language combined with the entropy weight method. The Box-Behnken design-response surface methodology(BBD-RSM) and the deep neural network(DNN) were employed to screen the optimal parameters for the polysaccharide extraction from Hippocampus. These two modeling methods were compared and verified experimentally for the process optimization. This study provides a reference for the industrialization of effective component extraction from Chinese medicinals and achieves the effective combination of modern technology and traditional Chinese medicine.
Dietary Carbohydrates ; Hippocampus ; Neural Networks, Computer ; Polysaccharides ; Temperature

Objective:To explore the theory and methods of integrating sports into modern health service systems. Methods:Based on the theory of World Health Organization modern health service systems and the policy guideline Rehabilitation in Health Service Systems, we analyzed how to promote the integration of sports into modern health service systems in six areas: leadership and governance capacity, financing, health human resources, service delivery, medical technology and health information systems, systematically analyzed the key elements and requirements for integrating physical education and sports into the health service system in the four segments of the health service continuum: prevention, intervention, rehabilitation and health promotion. Results:The goal of building a human-centered, cross-sectoral and multidisciplinary health service system was proposed, requiring the promotion of the integration of medicine and sports, the use of sports intervention as a method of health intervention, the development of service technologies and standards for the integration of sports and health; the training of professionals who master sports intervention and sports rehabilitation, and the development of information systems to promote the development of the integration of sports and health services. Conclusion:Sports is an important mean of health and an important part of modern health services. Starting from the components of the health service system, we can build a theoretical and methodological system for integrating sports into the modern health service system, so as to promote the realization of a health service system covering the whole population and the whole life cycle, achieve the United Nations 2030 Sustainable Development Goal 3: ensure healthy lives and promote well-being for all at all ages; and realize the goals related to "Healthy China".

Objective: Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains unclear. Methods: A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in China. Data on comorbidities were obtained from the patients' medical records. Multivariable logistic regression models were used to estimate the odds ratio ( Results: Overall, 158 (13.6%) patients were diagnosed with severe illness and 32 (2.7%) had unfavorable outcomes. Hypertension (2.87, 1.30-6.32), type 2 diabetes (T2DM) (3.57, 2.32-5.49), cardiovascular disease (CVD) (3.78, 1.81-7.89), fatty liver disease (7.53, 1.96-28.96), hyperlipidemia (2.15, 1.26-3.67), other lung diseases (6.00, 3.01-11.96), and electrolyte imbalance (10.40, 3.00-26.10) were independently linked to increased odds of being severely ill. T2DM (6.07, 2.89-12.75), CVD (8.47, 6.03-11.89), and electrolyte imbalance (19.44, 11.47-32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission (5.46, 3.25-9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes (6.58, 1.46-29.64) within two weeks. Conclusion Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes.
Adult ; Aged ; COVID-19/virology* ; China/epidemiology* ; Comorbidity ; Female ; Humans ; Male ; Middle Aged ; Retrospective Studies ; Severity of Illness Index ; Treatment Outcome

Objective:To summarize the patient profiles and therapeutic efficacies of ABO-incompatible living-related kidney transplantations at 19 domestic transplant centers and provide rationales for clinical application of ABOi-KT.Methods:Clinical cases of ABO-incompatible/compatible kidney transplantation (ABOi-KT/ABOc-KT) from December 2006 to December 2009 were collected. Then, statistical analyses were conducted from the aspects of tissue matching, perioperative managements, complications and survival rates of renal allograft or recipients.Results:Clinical data of 342 ABOi-KT and 779 ABOc-KT indicated that (1) no inter-group differences existed in age, body mass index (BMI), donor-recipient relationship or waiting time of pre-operative dialysis; (2) ABO blood type: blood type O recipients had the longest waiting list and transplantations from blood type A to blood type O accounted for the largest proportion; (3) HLA matching: no statistical significance existed in mismatch rate or positive rate of PRA I/II between two types of surgery; (4) CD20 should be properly used on the basis of different phrases; (5) hemorrhage was a common complication during an early postoperative period and microthrombosis appeared later; (6) no difference existed in postoperative incidence of complications or survival rate of renal allograft and recipients at 1/3/5/10 years between ABOi-KT and ABOc-KT. The acute rejection rate and serum creatinine levels of ABOi-KT recipients were comparable to those of ABOc-KT recipients within 1 year.Conclusions:ABOi-KT is both safe and effective so that it may be applied at all transplant centers as needed.