Impacts of menopause hormone therapy on mood disorders among postmenopausal women

OBJECTIVE

This study aimed to explore the modulatory effects of menopause hormone therapy (MHT) on mood disorders among postmenopausal women.

METHODS

A cross-sectional study was conducted to recruit postmenopausal women, including patients (arranged MHT for over 3 years as the medication group) and non-MHT controls. All participants were asked to respond to the Center for Epidemiological Studies Depression Scale (CES-D) and Generalized Anxiety Disorder Screener (GAD-7) questionnaires to assess their depression and anxiety status.

RESULTS

A total of 230 cases from the two groups were determined based on propensity score matching analysis by matching the menopausal age and menopausal durations. We found that MHT served as a favorable modulator in the depression status of postmenopausal women. Among the four factors of the CES-D questionnaire, our data indicated that the differences between the two groups fell primarily into two aspects: depressive emotion, and somatic symptoms or retarded activities. MHT was mainly involved in improving the depression of overweight women. However, no substantial effects of MHT were observed on the regulation of anxiety.

CONCLUSION

Postmenopausal women, especially the overweight population, who have experienced MHT exhibited an improved depressive status but not their anxiety condition.

[Prevalence and trend analysis of severe multiple disabling birth defects in Chongqing City from 2007 to 2020]

Objective: To explore the prevalence and change trend of severe multiple disabling birth defects in Chongqing City from 2007 to 2020, and to provide a basis for comprehensive prevention and control measures of severe multiple disabling birth defects. Methods: Based on hospital monitoring data, 1 103 children with severe multiple disabling birth defects monitored by all birth defects monitoring institutions in Chongqing City from January 2007 to December 2020 were included in the study. They were grouped by year, perinatal gender, maternal permanent residence (urban/rural), maternal age, different regions and other categories. Chi-square test was used to analyze the differences in the incidence of severe multiple disabling birth defects in different categories, and linear trend test was used to analyze the change trend. Results: From 2007 to 2020, a total of 1 022 314 perinatal births and 1 103 severe multiple disabling birth defects were monitored in Chongqing City, with an incidence of 10.79/10 000, including 11.47/10 000 in urban areas and 9.48/10 000 in rural areas, with an incidence higher in urban areas than in rural areas(χ²=8.424,P=0.004). Male was 10.47/10 000, female was 10.97/10 000, there was no significant difference between male and female(χ²=0.606,P=0.436). The incidence of maternal in different age groups was u-shaped, and there was statistical difference in incidence among different age groups (χ²=59.465, P<0.001). The incidence of maternal in<20 years old and ≥35 years old was higher, and in 25-29 years old was lower. The incidence rate was 17.96/10 000 in 2007 and 7.18/10 000 in 2020, which decreased by 60.02% in 2007-2020. The incidence of neural tube defect, chromosome syndrome, limb shortening and abdominal wall defect decreased by 78.12%, 77.38%, 80.55% and 91.30%, respectively. Severe Congenital heart disease rose by 456.16%. From 2007 to 2020, the overall incidence of the disease showed a decreasing trend (χ²_trend =117.046, P<0.001), except for the rise of severe congenital heart disease, (χ²_trend=8.744, P=0.003), the other four types of diseases were on the decline (neural tube defects χ²_trend =48.618, P<0.001; chromosome syndrome χ²_trend=50.999, P<0.001; limb shortening χ²_trend=73.464, P<0.001; abdominal wall defect χ²_trend=79.863, P<0.001). Conclusion: From 2007 to 2020, the incidence of severe disabling birth defects in Chongqing City showed a downward trend, and there were regional and age differences. The incidence of severe congenital heart disease is on the rise.

Killing two birds with one stone: miR-126 involvement in both cancer and atherosclerosis

OBJECTIVE

Both cancer and atherosclerosis are the main causes of morbidity and mortality in the world, and some patients even suffer from both of them. Several studies have shown an association between the pathogenesis of cancer and atherosclerosis. It has been reported that miR-126 may participate in the pathological process of cancer and atherosclerosis. Therefore, we aimed to summarize the role of miR-126 in cancer and atherosclerosis respectively, as well as a possible association between them.

MATERIALS AND METHODS

In this paper, "miR-126" and "microRNA-126" are used as the first group of keywords, "atheromatosis" and "atherosclerosis" are used as the second group of keywords, and "tumor" and "cancer" are used as the third group of keywords. In PubMed, the authors selected one of the first group and the second group of keywords to search the literature related to miR-126 and cancer, and one of the first group and the third group of keywords was selected to search the literature on miR-126 and atherosclerosis. All collected articles are from 2021 and before. Irrelevant, withdrawn and review articles were excluded, and the included literature was mainly in the recent five years.

RESULTS

After collection and summary, miR-126 is found involved in cell apoptosis, proliferation, angiogenesis, inflammation, and other processes in both cancer and atherosclerosis by negatively targeting PI3K, VEGF, VCAM-1, EGFL7, CXCL12-CXCR4 axis, and LRP6. Moreover, we briefly review the prospects of miR-126 as a biomarker for the diagnosis and treatment of cancer and atherosclerosis in clinical applications.

CONCLUSIONS

It has been demonstrated that miR-126 can influence cancer and atherosclerosis by affecting the same or different target genes. Therefore, it facilitates our understanding of the common prevention and treatment strategies of cancer and atherosclerosis by regulating the miR-126-target genes network.

[Status of HVPG clinical application in China in 2021]

Objective: The investigation and research on the application status of Hepatic Venous Pressure Gradient (HVPG) is very important to understand the real situation and future development of this technology in China. Methods: This study comprehensively investigated the basic situation of HVPG technology in China, including hospital distribution, hospital level, annual number of cases, catheters used, average cost, indications and existing problems. Results: According to the survey, there were 70 hospitals in China carrying out HVPG technology in 2021, distributed in 28 provinces (autonomous regions and municipalities directly under the central Government). A total of 4 398 cases of HVPG were performed in all the surveyed hospitals in 2021, of which 2 291 cases (52.1%) were tested by HVPG alone. The average cost of HVPG detection was (5 617.2±2 079.4) yuan. 96.3% of the teams completed HVPG detection with balloon method, and most of the teams used thrombectomy balloon catheter (80.3%). Conclusion: Through this investigation, the status of domestic clinical application of HVPG has been clarified, and it has been confirmed that many domestic medical institutions have mastered this technology, but it still needs to continue to promote and popularize HVPG technology in the future.

[Prediction of trends for fine-scale spread of Oncomelania hupensis in Shanghai Municipality based on supervised machine learning models]

OBJECTIVE

To predict the trends for fine-scale spread of Oncomelania hupensis based on supervised machine learning models in Shanghai Municipality, so as to provide insights into precision O. hupensis snail control.

METHODS

Based on 2016 O. hupensis snail survey data in Shanghai Municipality and climatic, geographical, vegetation and socioeconomic data relating to O. hupensis snail distribution, seven supervised machine learning models were created to predict the risk of snail spread in Shanghai, including decision tree, random forest, generalized boosted model, support vector machine, naive Bayes, k-nearest neighbor and C5.0. The performance of seven models for predicting snail spread was evaluated with the area under the receiver operating characteristic curve (AUC), F1-score and accuracy, and optimal models were selected to identify the environmental variables affecting snail spread and predict the areas at risk of snail spread in Shanghai Municipality.

RESULTS

Seven supervised machine learning models were successfully created to predict the risk of snail spread in Shanghai Municipality, and random forest (AUC = 0.901, F1-score = 0.840, ACC = 0.797) and generalized boosted model (AUC= 0.889, F1-score = 0.869, ACC = 0.835) showed higher predictive performance than other models. Random forest analysis showed that the three most important climatic variables contributing to snail spread in Shanghai included aridity (11.87%), ≥ 0 °C annual accumulated temperature (10.19%), moisture index (10.18%) and average annual precipitation (9.86%), the two most important vegetation variables included the vegetation index of the first quarter (8.30%) and vegetation index of the second quarter (7.69%). Snails were more likely to spread at aridity of < 0.87, ≥ 0 °C annual accumulated temperature of 5 550 to 5 675 °C, moisture index of > 39% and average annual precipitation of > 1 180 mm, and with the vegetation index of the first quarter of > 0.4 and the vegetation index of the first quarter of > 0.6. According to the water resource developments and township administrative maps, the areas at risk of snail spread were mainly predicted in 10 townships/subdistricts, covering the Xipian, Dongpian and Tainan sections of southern Shanghai.

CONCLUSIONS

Supervised machine learning models are effective to predict the risk of fine-scale O. hupensis snail spread and identify the environmental determinants relating to snail spread. The areas at risk of O. hupensis snail spread are mainly located in southwestern Songjiang District, northwestern Jinshan District and southeastern Qingpu District of Shanghai Municipality.

POS0449 CHARACTERISTICS OF GUT MICROBIOTA AND ITS RELATIONSHIP WITH LYMPHOCYTE SUBSETS AND CYTOKINES IN PATIENTS WITH UNDIFFERENTIATED SPONDYLOARTHRITIS

Background

Gastrointestinal microbiota, particularly dysbiosis of gut microbiota composition have been correlated with the progression of autoimmune disorders, such as undifferentiated spondyloarthritis (USPA).

Objectives

This study aimed to identify the changed gut microbiota and its relationship with lymphocyte subsets and cytokines in USPA Patients.

Methods

A total of 210 participants were recruited in this study, comprising 105 USPA patients and 105 age and sex-matched healthy controls (HCs). Microbial genome was extracted from approximately 250mg fresh fecal samples from all participants using QIAamp PowerFecal DNA Kit (Qiagen). The V3-V4 variable regions of bacterial 16S rRNA genes were sequenced with the Illumina Miseq PE300 system. QIIME2 was used to process representative sequence clusters with a similarity cutoff of 100% (ASVs)1. Microbial diversity was estimated by the alpha diversity (observed, chao1, ACE, shannon, simpson, and ivsimpson) and beta diversity (bray distance). Biomarker species were identified based on STEMP between USPA and HC group. Correlations were analyzed with the Spearman rank correlation test.

Results

The alpha-diversity indices have no significant different between two groups (P >0.05, Figure 1A). Gut microbial community structure differed between USPA and HC, as revealed by ASV Bray–Curtis distances (P <0.05, Figure 1B). As for composition of gut microbiota, there were the increased levels of Escherichia_Shigella, Flavonifractor, Hungatella in the USPA group, and Lachnospirales, Roseburia, and Lachnospiraceae in HCs (Figure 1C). The relative abundance of Lachnospiraceae_UCG_001 and Enterobacter was negatively correlated with the absolute numbers of Th17 (P<0.05). Bifidobacterium was positively correlated with the absolute number of Th1 and Tregs (P<0.01, Figure 1D). The relative abundance of Fusobacterium, Incertae_Sedis, and Colidextribacter were negatively correlated with the absolute numbers of Il-10, IL-4, and IL-2 (P<0.05). Prevotella and Enterobacter were positively correlated with the absolute number of IL-6 and IL-4 respectively (P<0.05, Figure 1E). Bifidobacterium and Bilophila were neagtively correlated with the absolute number of NK cell (P<0.05, Figure 1F).

Figure 1.

(A) Comparison of alpha-diversity indexs between HC and USPA groups was shown using boxplot. (B) β diversity of the gut microbiome in USPA patients and HCs. Principal coordinate analysis plot generated from the bray distance analyse. (C) STEMP was used to detect difference in Flora according to USPA and HC. (D-F) Relationship between gut microbiota, and Lymphocyte subsets as well as cytokines. *P<0.05, **P<0.01.

Conclusion

Gut dysbiosis in USPA patients mainly characterized by reduced the diversity and impaired abundance of the intestinal flora, which was closely related to the disturbance of lymphocyte subpopulations and cytokines.

References

[1]Han L, Zhao K, Li Y, et al. A gut microbiota score predicting acute graft-versus-host disease following myeloablative allogeneic hematopoietic stem cell transplantation. Am J Transplant 2020;20(4):1014-27. doi: 10.1111/ajt.15654 [published Online First: 2019/10/13]

Acknowledgements

This work was supported by the National Natural Science Foundation of China (No. 82001740).

Disclosure of Interests

None declared.

AB0300 REDUCTION OF LACHNOSPIRA IS CLOSELY RELATED TO AUTOIMMUNE DISEASE COMPLICATED WITH PULMONARY FIBROSIS

Background

Autoimmune diseases (AD) are a group of heterogeneous disorders caused by both genetic and environmental factors. Rheumatoid arthritis (RA) and Sjögrens syndrome (SS) are typical autoimmune diseases[1], Pulmonary fibrosis (PF) is the most common complication of AD. Despite the extensive study of the human gut microbiome in AD complicated with PF(AD-PF),the question of whether there are common microbial features characterizing AD-PF still remains[2].

Objectives

This study focused on exploring differences between the microbiota diversity and peripheral lymphocyte subpopulations as well as cytokine in AD with PF is different from that of AD without PF.

Methods

A total of 64 AD patients (44 AD without PF and 20 AD with PF) as well as 100 age- and sex- matched healthy controls (HCs) were enrolled in this study. The peripheral lymphocyte subsets were analyzed by flow cytometry and the gut microbiota were investigated via 16s rRNA sequencing. Alpha and Beta diversity (bray curtis distance-based) analysis was used to define the difference of gut microbiota profiles between patients and HCs. To explore the specific bacterial taxa associated with AD-PF, the STAMP software was used to compare the fecal microbiota composition. Spearman correlation analysis was used to determine the similarities in the microbiota community with clinical meatures among fecal samples.

Results

There is a decrease that the richness and diversity index between HCs, AD and AD-PF patients. Principal co-ordinates analyses suggested that these three microbiota states explained a reasonable proportion of observed variance in gut microbiota composition (ANOSIM R2 = 0.113, p < 0.001; Figure 1b). Compared with HCs, there are obvious differences among 19 species of flora in AD without PF at the genus level, of which 2 species of flora (Lachnospira,Muribaculaceae) belong to AD-PF patients were showed much fewer. The relative abundance of Lachnospira was positive correlated with the absolute numbers of Th17, IL-6 and THF-α (P<0.05,Figure 1D-E)，which indicated Lachnospira may be the most critical among the AD-RF patients’ own species of flora. Therefore, the reduction of Lachnospira may influence the immune status of the intestinal tract of patients by producing less short-chain fatty acids.

Conclusion

Our results suggest that the decrease of Lachnospira may lead to the occurrence of AD with pulmonary interstitial fibrosis, which was closely correlated with lymphocyte subsets and Cytokines, maintaining the flora balance might be a potential therapeutic target for AD-PF.

References

[1]Ma Y, Shi N, Li M, Chen F, Niu H: Applications of Next-generation Sequencing in Systemic Autoimmune Diseases. Genomics Proteomics Bioinformatics 2015, 13(4):242-249.

[2]Belkaid Y, Hand TW: Role of the microbiota in immunity and inflammation. Cell 2014, 157(1):121-141.

Acknowledgements

This work was supported by the National Natural Science Foundation of China (No. 82001740).

Disclosure of Interests

None declared

POS0212 THE REDUCTION OF TURICIBACTER IN GUT MICROBIOTA ASSOCIATED WITH SJOGREN’S SYNDROME SECONDARY TO RHEUMATOID ARTHRITIS

Background

Secondary Sjogren’s syndrome(SS) is a common extra-articular manifestation of rheumatoid arthritis (RA)[1]. RA patients combined with SS have different outcomes from those without SS[2]. However, the studies investigated the characteristics of gut microbiota in patients with RA and SS is limited.

Objectives

To investigate the characteristics of gut microbiome and the associations between flora and peripheral lymphocyte subpopulations in RA patients with or without Sjogren’s syndrome.

Methods

A total of 326 samples from 145 RA patients without SS, 23 RA combined with SS patients(RA-SS) and 168 healthy controls (HCs) were recruit in this study from The Second Hospital of Shanxi Medical University (Taiyuan, Shanxi, China). The gut microbiota were investigated via 16s rRNA sequencing and the peripheral T lymphocyte subsets of these participants were assessed by flow cytometry. The Wilcoxon rank-sum test was used to compare alpha diversity indicesbetween groups. Differential abundance analysis was carried out the STAMP software. Spearman’s correlation analysis was used to assess the correlations between the relative abundances of bacterial genera and clinical meatures.

Results

Patients with RA and RA-SS exhibited a significant reduction in the richness and diversity of gut microbiota compared with those of HCs (Figure 1 A-B, p < 0.05), whereas there was no significant difference between RA and RA-SS patients. Principal co-ordinates analyses based on bray curtis distance suggested that these there microbiota states explained a definable proportion of observed variance in microbiota composition (ANOSIM R2 = 0.074, p < 0.001; Figure 1 C). Compared with HCs, 58 species of flora were discovered to be distinctly different in RA patients without SS at the genus level of which 6 species of flora unique to RA-SS patients were presented much fewer ([Eubacterium]_hallii_group, Anaerostipes, CAG-56, Fusobacterium, Turicibacter and Enterococcus). Among these RA-SS patients‘ unique species of flora, it seems that Turicibacter is the key species of flora, owing to whose has a positive correlation with most of lymphocytes such as T, B, CD4+T, CD8+T and NK cells suggesting a close association with intestinal immunity.(Figure 1 F-G,P<0.05)

Conclusion

RA patients with deficiency of Turicibacter in flora had higer occurrence of Sjögren’s syndrome sjogren’s syndrome complication, which was correlated with peripherial lymphocyte subpopulations and cytokines.

References

[1]Chen Y, Ma C, Liu L, He J, Zhu C, Zheng F, Dai W, Hong X, Liu D, Tang D et al: Analysis of gut microbiota and metabolites in patients with rheumatoid arthritis and identification of potential biomarkers. Aging 2021, 13(20):23689-23701.

[2]Brown LE, Frits ML, Iannaccone CK, Weinblatt ME, Shadick NA, Liao KP: Clinical characteristics of RA patients with secondary SS and association with joint damage. Rheumatology (Oxf) 2015, 54(5):816-820.

Acknowledgements

This work was supported by the National Natural Science Foundation of China (No. 82001740).

Disclosure of Interests

None declared

AB0523 THE ENTEROTYPES OF THE GUT MICROBIOTA IN CHINESE POPULATION WITH AUTOIMMUNE DISEASE

Background

An increasing number of autoimmune disorders (AD) have been associated with microbial dysbiosis[1, 2]. However, this dysbiosis is difficult to characterize for individual patients owing to the high heterogeneity of the gut microbiota. Thus, researchers must find an accurate method of characterizing the AD gut microbiota that is meaningful to clinical diagnosis.

Objectives

The aim of this study was to investigate the enterotype characters of intestinal flora in AD and their associations with peripheral lymphocyte subpopulations and cytokines.

Methods

A total of 339 AD patients and 339 age- and sex- matched healthy controls (HCs) were enrolled in this study. Mathematical modeling using Dirichlet multinomial mixtures (DMM) was applied to describe the variability in the microbiome data and cluster samples into enterotypes. The peripheral lymphocyte subsets were detected by flow cytometry and the cytokines were assessed by ELISA. Differential abundance analysis was carried out the STAMP software. R (version 4.1.0) was used for comparative statistics, and spearman’s correlation analysis was used to assess the correlations between the relative abundances of bacterial genera and clinical variables.

Results

Laplace approximation of DMM suggested gut microbiota of AD patients and HCs both can be divided into two distinct enterotypes (Figure 1 A-B), and AD E1 and HC E1 were primarily dominated by Prevotella while AD E2 and HC E2 by Bacteroides. Interestingly, the Prevotella-enriched enterotype (AD E1 and HC E1) had a higher alpha diversity than The Bacteroides-enriched enterotype (AD E2 and HC E2). Patients with AD always had a lower richness and diversity compared with those of HCs in each enterotype (p< 0.001), suggesting gut microbiome was markedly less diverse in composition in AD. Bray curtis distance-based beta-diversity were also different (P<0.001, ANOSIM.R =0.23, Figure 1 C-H). Significant differences in gut microbiota composition at the genus level between AD patients and HCs were found using the STAMP software in each enterotype. Compared with HCs, 37 species in AD E1 patients and 40 species in AD E2 patients of flora were discovered to be distinctly different. In the co-upregulated flora of both enterotypes, Lactobacillus was inversely associated with a variety of lymphocytes such as T, CD4+T, NK, Th2, Th17, Treg cells(P<0.05), and positive correlation with IL-10 and IFN-γ(P<0.05,Figure 1 I). However, in the co-downregulated floras Coprococcus had a positive correlation with B, NK and Treg cells, and anaerostipes had a negativate corrleation with IL-2 and IL-4(P<0.05,Figure 1 J).

Conclusion

There were both two enterotypes in patients and HCs with autoimmune disease, E2 exhibited a loss of Prevotella but a growth of Bacteroides, while E1 presented the opposite results, which were closely correlated with peripheral lymphocyte subsets and cytokines.

References

[1]Levy M, Thaiss CA, Zeevi D, Dohnalová L, Zilberman-Schapira G, Mahdi JA, David E, Savidor A, Korem T, Herzig Y et al: Microbiota-Modulated Metabolites Shape the Intestinal Microenvironment by Regulating NLRP6 Inflammasome Signaling. Cell 2015, 163(6):1428-1443.

[2]Belkaid Y, Hand TW: Role of the microbiota in immunity and inflammation. Cell 2014, 157(1):121-141.

Acknowledgements

This work was supported by the National Natural Science Foundation of China (No. 82001740).

Disclosure of Interests

None declared

AB0390 COST-EFFECTIVENESS OF IGURATIMOD IN PATIENTS WITH RHEUMATOID ARTHRITIS (RA) BY USING A CLAIMS-BASED ALGORITHM: RETROSPECTIVE ANALYSIS OF REAL‑WORLD DATA

Background

Iguratimod (IGU), as one of the conventional synthetic disease-modifying antirheumatic drugs (csDMARDs), has been approved by National Medical Products Administration (NMPA) to treat Rheumatoid arthritis (RA).

Objectives

This study aimed to compare the cost-effectiveness of well-established RA therapies using a claims-based algorithm in RA patients.

Methods

An electronic medical record (EMR) database from Zhujiang Hospital was utilized to estimate the cost-effectiveness of medication for RA patients, including IGU with MTX, biological DMARDs (bDMARDs) with MTX, and MTX alone for more than 6 months from 2014 to 2020. Patients who were deemed effective must meet all the following criteria according to the algorithm, high adherence; no bDMARDs or IGU switch or addition; no prescription of new csDMARDs; no increase in dose or frequency of index drug; no new use of chronic glucocorticoids or increase in glucocorticoid dose; and no more than one glucocorticoid injection. Average cost was calculated by summing total cost of effective treatment and dividing by number of patients achieving efficacy in each group.

Results

A total of 263 patients were included in the analysis. Based on a claims-based algorithm, the effective rate was 27.1 % (26/96) for IGU with MTX group, 11.2% (7/62) for bDMARDs with MTX group, and 13.3% (14/105) for MTX alone group, respectively. Average cost of effective treatment was $833.46 for IGU with MTX therapy, $2554.57 for bDMARDs with MTX therapy, and $171.48 for MTX alone (Table 1).

Table 1.

Effectiveness and Cost per Effectively Treated Patient with RA

CriteriaAll patients (n=263)IGU with MTX group(n=96)bDMARDs with MTX group (n=62)MTX (n=105)Effectiveness:no. of patients (%)a47(17.87%)26 (27.1%)7 (11.2/%)14 (13.3%)Cost of all RA-related medication per effectively treated patient(SD)$892.75(911.57)$833.46 (252.67)$2554.5 (1273.13)$171.4 (110.33)Average cost of all RA medications postindex (excluding biologic DMARDs) per patient (SD)b$146.38(114.60)$148.81 (123.12)$86.90 (74.53)$171.4 (110.33)Average cost of only biologicDMARDs postindex per patient (SD)b$746.38(926.35)$684.27(188.67)$2468.67(1285.91)/

a χ2showed significant difference in percentage effectiveness for the original algorithm (p<0.05).

bMedication cost was 2020 U.S. dollars.

Conclusion

IGU with MTX therapy was revealed to be both effective and modestly priced, which seemed to be a cost-effective strategy for RA therapy and warranted further cost-effectiveness investigation.

References

[1](2018) [2018 Chinese guideline for the diagnosis and treatment of rheumatoid arthritis]. Zhonghua Nei Ke Za Zhi 57 (4), 242-251. https://doi.org/10.3760/cma.j.issn.0578-1426.2018.04.004

[2]Hitchon, C. A., & El-Gabalawy, H. S. (2011). The synovium in rheumatoid arthritis. The open rheumatology journal, 5, 107–114. https://doi.org/10.2174/1874312901105010107

[3]Smolen, J. S., Landewé, R., Bijlsma, J., Burmester, G. R., Dougados, M., Kerschbaumer, A., McInnes, I. B., Sepriano, A., van Vollenhoven, R. F., de Wit, M., Aletaha, D., Aringer, M., Askling, J., Balsa, A., Boers, M., den Broeder, A. A., Buch, M. H., Buttgereit, F., Caporali, R., Cardiel, M. H., … van der Heijde, D. (2020). EULAR recommendations for the management of rheumatoid arthritis with synthetic and biological disease-modifying antirheumatic drugs: 2019 update. Annals of the rheumatic diseases, 79(6), 685–699. https://doi.org/10.1136/annrheumdis-2019-216655

[4]Fraenkel, L., Bathon, J. M., England, B. R., St Clair, E. W., Arayssi, T., Carandang, K., Deane, K. D., Genovese, M., Huston, K. K., Kerr, G., Kremer, J., Nakamura, M. C., Russell, L. A., Singh, J. A., Smith, B. J., Sparks, J. A., Venkatachalam, S., Weinblatt, M. E., Al-Gibbawi, M., Baker, J. F., … Akl, E. A. (2021). 2021 American College of Rheumatology Guideline for the Treatment of Rheumatoid Arthritis. Arthritis care & research, 73(7), 924–939. https://doi.org/10.1002/acr.24596

Disclosure of Interests

None declared

[Potential transmission risk of key parasitic diseases and responses to the risk during the construction of an ecological city in Shanghai Municipality]

A blueprint on Shanghai's ecological space design between 2021 and 2035 was released in 2021, aiming to build an ecological city and improve the development of ecological civilization. The transmission of parasitic diseases is strongly associated with climate and ecological environments. Currently, the prevalence of parasitic diseases has been maintained at extremely low-transmission levels, and there are almost no local cases; however, the alteration of ecological environments may results in a potential transmission risk of parasitic diseases. Hereby, the current status of key parasitic diseases in Shanghai Municipality was described, and the potential transmission risk of parasitic diseases and responses to this risk were analyzed during the construction of an ecological city in Shanghai Municipality. In addition, the suggestions pertaining to surveillance and management of parasitic diseases were proposed during the mid- and long-term construction of an ecological city in Shanghai Municipality.

Social determinants of health influence disease activity and functional disability in Polyarticular Juvenile Idiopathic Arthritis

BACKGROUND

Social determinants of health (SDH) greatly influence outcomes during the first year of treatment in rheumatoid arthritis, a disease similar to polyarticular juvenile idiopathic arthritis (pJIA). We investigated the correlation of community poverty level and other SDH with the persistence of moderate to severe disease activity and functional disability over the first year of treatment in pJIA patients enrolled in the Childhood Arthritis and Rheumatology Research Alliance Registry.

METHODS

In this cohort study, unadjusted and adjusted generalized linear mixed effects models analyzed the effect of community poverty and other SDH on disease activity, using the clinical Juvenile Arthritis Disease Activity Score-10, and disability, using the Child Health Assessment Questionnaire, measured at baseline, 6, and 12 months.

RESULTS

One thousand six hundred eighty-four patients were identified. High community poverty (≥20% living below the federal poverty level) was associated with increased odds of functional disability (OR 1.82, 95% CI 1.28-2.60) but was not statistically significant after adjustment (aOR 1.23, 95% CI 0.81-1.86) and was not associated with increased disease activity. Non-white race/ethnicity was associated with higher disease activity (aOR 2.48, 95% CI: 1.41-4.36). Lower self-reported household income was associated with higher disease activity and persistent functional disability. Public insurance (aOR 1.56, 95% CI 1.06-2.29) and low family education (aOR 1.89, 95% CI 1.14-3.12) was associated with persistent functional disability.

CONCLUSION

High community poverty level was associated with persistent functional disability in unadjusted analysis but not with persistent moderate to high disease activity. Race/ethnicity and other SDH were associated with persistent disease activity and functional disability.

[Association between urinary arsenic levels and anemia among older adults in nine longevity areas of China]

Objective: To investigate the association between urinary arsenic levels and anemia among older adults in nine longevity areas of China. Methods: A total of 1 896 subjects aged 65 years and above who participated in the Healthy Aging and Biomarkers Cohort Study (HABCS) in 2017-2018 were included. A self-made questionnaire was used to collect demographic characteristics, lifestyle and other information from the subjects. Through physical examination, data including height, weight and blood pressure were determined and body mass index (BMI) was calculated. Blood and urine samples were collected for the detection of hemoglobin (Hb), blood glucose, blood lipids, plasma vitamin B₁₂ and urinary arsenic concentrations. The urinary arsenic levels were divided into four groups according to the quartiles of urinary arsenic concentrations (μg/g creatinine): Q₁ (<18.7), Q₂ (18.7-34.5), Q₃ (34.6-69.5) and Q₄(≥69.6). Multivariate logistic regression model and restricted cubic spline fitting logistic regression model were used to analyze the association between urinary arsenic levels and anemia. Results: The age of the 1 896 subjects (M (Q₁, Q₃)) was 83 (74, 92) years, including 952 females (50.21%), and the concentration of Hb (M (Q₁, Q₃)) was 135 (124, 147)g/L. The prevalence of anemia was 24.89% (472 cases). The geometric mean and M (Q₁, Q₃) of urinary arsenic concentrations were 37.5 and 34.6 (18.7, 69.6)μg/g creatinine, respectively. Multivariate logistic regression model analysis showed that after adjusting for age, gender, BMI, education level, smoking and drinking status, residence, economic level, ethnicity, the status of vitamin B₁₂ deficiency, consumption frequency of aquatic products and meat, the prevalence of hypertension, diabetes and dyslipidemia, urinary arsenic levels were positively associated with anemia (Taking group Q₁ as a reference, OR (95%CI) values in Q₂, Q₃ and Q₄ groups were 1.73 (1.20-2.50), 2.08 (1.43-3.02) and 1.52 (1.02-2.28), respectively). The results of restricted cubic spline fitting logistic regression analysis showed a non-linear association between urinary arsenic concentrations and anemia (P<0.001). Subgroup analysis showed there was a negative multiplicative interaction between the prevalence of chronic diseases and urinary arsenic levels with OR (95%CI) was 0.55 (0.30-0.99), while no multiplicative interaction was found between age, gender, residence, smoking status, drinking status and urinary arsenic levels (P>0.05). There was a positive association between urinary arsenic levels and anemia in participants who were absence of chronic diseases,male, living in rural, smoking and drinking with OR (95%CI) values of 3.62 (1.30-10.06),2.46 (1.34-4.52), 1.70 (1.03-2.80), 2.21 (1.01-4.82) and 2.79 (1.23-6.33), respectively. Conclusion: There is a positive association between urinary arsenic levels and anemia among older adults in nine longevity areas of China.

[New advances in vital pulp therapy and pulp regeneration for the treatment of pulpitis: from basic to clinical application]

In recent years, great progress has been made in research on the treatment of pulpitis, mainly due to the rapid development of basic and clinical researches in this field, and some achievement from basic research has been applied in clinical practice. Advances in the diagnostic methods for pulpitis can help the clinicians to recognize the true state of pulpitis more accurately and to adopt the corresponding treatment methods including indirect/direct pulp capping, pulpotomy, pulp regeneration and root canal therapy. The new theory of pulpitis diagnosis and the studies on immune defense, repair function of dental pulp and new pulp capping materials have significantly improved the success rate of vital pulp therapy. For diffuse coronary pulpitis or radicular pulpitis, which is difficult to achieve vital pulp therapy successfully, methods of pulp revascularization, cell homing and pulp stem cells-mediated pulp regeneration can also be used as treatment options in addition to root canal therapy. The present article focuses on the research progress on pulpitis treatments and related clinical transformation practices, in order to provide reference on vital pulp therapy and pulp regeneration for clinicians.

Establishment of prediction models for COVID-19 patients in different age groups based on Random Forest algorithm

BACKGROUND

Coronavirus disease 2019 (COVID-19) has rapidly become a global pandemic. Age is an independent factor in death from the disease, and predictive models to stratify patients according to their mortality risk are needed.

AIM

To compare the laboratory parameters of the younger (≤70) and the elderly (>70) groups, and develop death prediction models for the two groups according to age stratification.

DESIGN

A retrospective, single-center observational study.

METHODS

This study included 437 hospitalized patients with laboratory-confirmed COVID-19 from Tongji Hospital in Wuhan, China, 2020. Epidemiological information, laboratory data and outcomes were extracted from electronic medical records and compared between elderly patients and younger patients. First, recursive feature elimination (RFE) was used to select the optimal subset. Then, two random forest (RF) algorithms models were built to predict the prognoses of COVID-19 patients and identify the optimal diagnostic predictors for patients' clinical prognoses.

RESULTS

Comparisons of the laboratory data of the two age groups revealed many different laboratory indicators. RFE was used to select the optimal subset for analysis, from which 11 variables were screened out for the two groups. The RF algorithm were built to predict the prognoses of COVID-19 patients based on the best subset, and the area under ROC curve (AUC) of the two groups is 0.874 (95% CI: 0.833-0.915) and 0.842 (95% CI: 0.765-0.920).

CONCLUSION

Two prediction models for COVID-19 were developed in the patients with COVID-19 based on random forest algorithm, which provides a simple tool for the early prediction of COVID-19 mortality.