The incidence of depression in patients with rheumatoid arthritis is higher. The concomitant depression will increase medical expense, reduce drug efficacy, lower its compliance, increase the incidence of complication, and affect the cure of rheumatoid arthritis. The influence of depression to rheumatoid arthritis is usually ignored in clinical work. In recent years, the pertinence between depression and immune disease in pathogenesis is found in research: depression will increase the risk of immune diseases in activate inflammation as well as extend and promote the release of inflammatory factors. This article reviews research progress of correlation between depression and rheumatoid arthritis.
Patients with hypercortisolism may experience cutaneous atrophy, weakened cutaneous barrier function, decreased immunity, opportunistic bacteria or fungal infections, which hinder the healing of cutaneous wounds, and even the ulcers will not heal for a long time, and may progress to chronic ulcers, which are difficult and expensive to treat. It affects the quality of life of patients, and can lead to the spread of infection and life-threatening in severe cases. The pathological mechanism of cutaneous ulcers and delayed healing caused by hypercortisolism is complicated, which is a clinical problem that needs to be solved urgently. This article explains the possible mechanism of hypercortisolism hindering the healing of cutaneous ulcers from the aspects of leading to cutaneous atrophy, pathophysiological abnormalities affecting wound healing, hyperglycemia inhibiting wound healing, and infection and hypercoagulable state, and discusses the possible mechanisms of hypercortisolism hindering the healing of cutaneous ulcers, and its treatment methods, aiming to provide a basis for more in-depth mechanism research and clinical prevention and treatment.
ObjectiveTo understand the nutritional status of vitamin D in some children aged 0-14 in Mianyang during the past 3 years and the changes of vitamin D nutritional status under home protection during the coronavirus disease 2019 (COVID-19) epidemic, so as to provide a theoretical basis for the monitoring and reasonable supplementation of vitamin D in children in this area after the epidemic.MethodsThe clinical data of children aged 0-14 who underwent physical examination in the Children’s Health Department of Mianyang Central Hospital from January to April 2018, from January to April 2019 and from January to April 2020 were analyzed retrospectively. High performance liquid chromatography tandem mass spectrometry was used to detect vitamin D, including vitamin D2, vitamin D3 and 25-hydroxyvitamin D [25(OH)D] in children’s serum. The differences in vitamin D components and 25(OH)D between different genders, different age groups, and different years were analyzed.ResultsA total of 12 348 children were included. The average vitamin D2 was (4.89±6.02) ng/mL, the average vitamin D3 was (22.91±9.29) ng/mL, the average 25(OH)D was (27.81±10.53) ng/mL, and 9 434 cases had sufficient 25(OH)D. The differences in vitamin D2, vitamin D3, 25(OH)D and 25(OH)D nutritional status in 2018, vitamin D2 and 25(OH)D in 2019, and vitamin D2 in 2020 between different genders were not statistically significant (P>0.05). There were statistically significant differences in vitamin D3 and 25(OH)D nutritional status in 2019, vitamin D3, 25(OH)D and 25(OH)D nutritional status in 2020 between different genders (P<0.05). From 2018 to 2020, vitamin D2 was the highest in infant group (P<0.05), while vitamin D3, 25(OH)D and 25(OH)D nutritional status were the highest in children group (P<0.05); vitamin D2 (χ2=143.106, P<0.001) showed an overall downward trend, vitamin D3 (F=400.178, P<0.001) and 25(OH)D (F=447.384, P<0.001) showed an overall upward trend; 25(OH)D nutritional status (χ2=103.566, P<0.001) was the highest in 2019.ConclusionsThe overall vitamin D nutritional status of children in Mianyang area is acceptable. Under the home protection, the average level of children’s serum 25(OH)D has little change, while the nutritional status of 25(OH)D has decreased significantly. After the outbreak of COVID-19, more attention should be paid to the monitoring and supplementation of vitamin D in school-age female children.
Pragmatic randomized controlled trials can provide high-quality evidence. However, pragmatic trials need to frequently encounter the missing outcome data due to the challenges of quality assurance and control. The missing outcome could lead to bias which may misguide the conclusions. Thus, it is crucial to handle the missing outcome data appropriately. Our study initially summarized the bias structures and missingness mechanisms, and then reviewed important methods based on the assumption of missing at random. We referred to the multiple imputations and inverse probability of censoring weighting for dealing with missing outcomes. This paper aimed to provide insights on how to choose the statistical methods on missing outcome data.
Objective To explore the association between 25-hydroxyvitamin D (25OHD) level and risk of the onset of metabolic syndrome (MS) in people in Chengdu. Methods In total, 474 participants were selected randomly by cluster sampling from one urban district and two rural villages in Longquanyi district of Chengdu. The data of sociodemographic information, lifestyle and family history were collected by questionnaires. Binary logistic regression was performed to assess the relationship between baseline 25OHD level and incident of MS, while multiple linear regression was conducted to analyze the relationship between baseline 25OHD level and insulin resistance. Results Four hundred seventy-four people were enrolled in the cohort study, 39 of them developed MS, with the incidences of 20.8 events per 1 000 person years. Among women, low 25OHD status was significantly associated with the risk of developing MS (OR=4.29, 95%CI 1.05 to 29.50, P=0.044) after adjustment for multiple potential confounders. In a multiple linear regression analysis, low 25OHD level of baseline was independently associated with the increased HOMA-IR over a 4-year period among Chengdu individuals (P<0.05) and was independently related to the decreased ISIcomp over a 4-year period in female (P<0.05). Conclusions The current prospective study suggests that low 25OHD level may contribute to increase insulin resistance in Chengdu population. Furthermore, low 25OHD level may increase the risk of MS among women in Chengdu.
ObjectiveTo examine statistical performance of different rare-event meta-analyses methods.MethodsUsing Monte-Carlo simulation, we set a variety of scenarios to evaluate the performance of various rare-event meta-analysis methods. The performance measures included absolute percentage error, root mean square error and interval coverage.ResultsAcross different scenarios, the absolute percentage error and root mean square error were similar for Bayesian logistic regression model, generalized mixed linear effects model and continuity correction, but the interval coverage was higher with Bayesian logistic regression model. The statistical performances with Mantel-Haenszel method and Peto method were consistently suboptimal across different scenarios.ConclusionsBayesian logistic regression model may be recommended as a preferred approach for rare-event meta-analysis.
ObjectiveTo screen pathogenic gene mutations of Gitelman syndrome (GS).MethodsPatients with GS diagnosed and treated in the Department of Endocrinology and Metabolism, West China Hospital of Sichuan University from January 2015 to December 2020 and their family members were included. The pathogenic genes were screened by second-generation sequencing combined with first-generation validation.ResultsA total of 15 GS patients were included. Gene analysis of patients indicated SLC12A3 gene mutation, including 9 cases of compound heterozygous mutation and 6 cases of heterozygous mutation. A total of 12 reported pathogenic sites and 8 new pathogenic mutations were found. Among the newly discovered pathogenic mutations, four were missense mutations (c.539C>A, p.T180K; c.1077C>G, p.N359K; c.1967C>T, p.P656L; and c.2963T>C, p.I988T), one was frame shift mutation caused by single base deletion (c.2543delA, p.D848fs), one was nonsense mutation (c.2129C>A, p.S710X), one was large fragment deletion (exon 7-8 partial coding sequence deletion), and one was coding sequence deletion and abnormal base sequence insertion (IVS7-1 to c.976 deletion GCGGACATTTTTG insertion into ACCGAAAATTTT).ConclusionIn this study, 8 new gene mutations leading to GS were found, and the exact pathogenesis of GS remains to be further confirmed.
With the establishment and development of regional healthcare big data platforms, regional healthcare big data is playing an increasingly important role in health policy program evaluations. Regional healthcare big data is usually structured hierarchically. Traditional statistical models have limitations in analyzing hierarchical data, and multilevel models are powerful statistical analysis tools for processing hierarchical data. This method has frequently been used by healthcare researchers overseas, however, it lacks application in China. This paper aimed to introduce the multilevel model and several common application scenarios in medicine policy evaluations. We expected to provide a methodological framework for medicine policy evaluation using regional healthcare big data or hierarchical data.
With the increasing improvement of real-world evidence as a research system and guideline specification for pre-market registration and post-market regulatory decision support of clinically urgent drug and mechanical products, identifying an approach to ensure the high quality and standards of real-world data and establishing a basis for the generation of real-world evidence is receiving increasing attention and concern from regulatory authorities. Based on the experience of Boao hope city real-world data research pattern and ophthalmic data platform construction, this paper discussed the "source data-database-evidence chain" generation process, data management, and data governance in real-world study from the special features and necessity of multiple sources and heterogeneity of data, multiple research designs, and standardized regulatory requirements, and provided references for further construction of comprehensive research data platforms in the future.