Prevalence of comorbid depression and associated factors among hospitalized patients with type 2 diabetes mellitus in Hunan, China.

BACKGROUND: Depression and diabetes are major health challenges, with heavy economic social burden, and comorbid depression in diabetes could lead to a wide range of poor health outcomes. Although many descriptive studies have highlighted the prevalence of comorbid depression and its associated factors, the situation in Hunan, China, remains unclear. Therefore, this study aimed to identify the prevalence of comorbid depression and associated factors among hospitalized type 2 diabetes mellitus (T2DM) patients in Hunan, China. METHODS: This cross-sectional study involved 496 patients with T2DM who were referred to the endocrinology inpatient department of Xiangya Hospital affiliated to Central South University, Hunan. Participants' data on socio-demographic status, lifestyle factors, T2DM-related characteristics, and social support were collected. Depression was evaluated using the Hospital Anxiety and Depression Scale-depression subscale. All statistical analyses were conducted using the R software version 4.2.1. RESULTS: The prevalence of comorbid depression among hospitalized T2DM patients in Hunan was 27.22% (95% Confidence Interval [CI]: 23.3-31.1%). Individuals with depression differed significantly from those without depression in age, educational level, per capita monthly household income, current work status, current smoking status, current drinking status, regular physical activity, duration of diabetes, hypertension, chronic kidney disease, stroke, fatty liver, diabetic nephropathy, diabetic retinopathy, insulin use, HbA1c, and social support. A multivariable logistic regression model showed that insulin users (adjusted OR = 1.86, 95% CI: 1.02-3.42) had a higher risk of depression, while those with regular physical activity (adjusted OR = 0.48, 95% CI: 0.30-0.77) or greater social support (adjusted OR = 0.20, 95% CI: 0.11-0.34) had a lower risk of depression. The area under the curve of the receiver operator characteristic based on this model was 0.741 with a sensitivity of 0.785 and specificity of 0.615. CONCLUSIONS: Depression was moderately prevalent among hospitalized T2DM patients in Hunan, China. Insulin treatment strategies, regular physical activity, and social support were significantly independently associated with depression, and the multivariable model based on these three factors demonstrated good predictivity, which could be applied in clinical practice.

Chemokines in hepatocellular carcinoma: a meta-analysis.

Accumulating evidence suggests that chemokines may play an important role in the formation and mediating of the immune microenvironment of hepatocellular carcinoma (HCC). The purpose of this meta-analysis was to explore the differences in blood or tissues chemokines concentrations between HCC patients and controls. Online databases, namely PubMed, Web of Science, Embase and Cochrane Library, were systematically searched for relevant articles published on or before 15 January 2020. Standardized mean differences (SMDs) with corresponding 95% confidence intervals of the chemokines concentrations were calculated as group differences between the HCC patients and the controls. Sixty-five studies met the inclusion criteria for the meta-analysis. Altogether they consisted of 26 different chemokines compared between 5828 HCC patients and 4909 controls; and 12 different chemokines receptors compared between 2053 patients and 2285 controls. The results of meta-analysis indicated that concentrations of CCL20, CXCL8 and CXCR4 in the HCC patients were significantly higher than those in the controls (SMD of 6.18, 1.81 and 1.04, respectively). Therefore, higher concentration levels of CCL20, CXCL8 and CXCR4 may indicate the occurrence of HCC Future research should explore the putative mechanisms underlying this linkage. Meanwhile, attempts can be made to replicate the existing findings in prospective cohort populations and explore the cause-and-effect relationships pertaining to this linkage in order to develop new diagnostic and therapeutic strategies for HCC.

Gut metabolites and inflammation factors in non-alcoholic fatty liver disease: A systematic review and meta-analysis.

The interaction of gut microbiota, related metabolites and inflammation factors with nonalcoholic fatty liver disease (NAFLD) remains unclearly defined. The aim of this systematic review and meta-analysis was to synthesize previous study findings to better understand this interaction. Relevant research articles published not later than September, 2019 were searched in the following databases: Web of Science, PubMed, Embase, and Cochrane Library. The search strategy and inclusion criteria for this study yielded a total of 47 studies, of which only 11 were eligible for meta-analysis. The narrative analysis of these articles found that there is interplay between the key gut microbiota, related metabolites and inflammation factors, which modulate the development and progression of NAFLD. In addition, the results of meta-analysis showed that probiotic supplementation significantly decreased tumor necrosis factor-α (TNF-α) in NAFLD patients (standardized mean difference (SMD) = -0.52, confidence interval (CI): -0.86 to -0.18, and p = 0.003) and C-reactive protein (CRP) (SMD = -0.62, CI: -0.80 to -0.43, and p < 0.001). However, whether therapies can target TNF-α and CRP in order treat NAFLD still needs further investigation. Therefore, these results suggest that the interaction of the key gut microbiota, related metabolites and inflammation factors with NAFLD may provide a novel therapeutic target for the clinical and pharmacological treatment of NAFLD.

Prevalence of Posttraumatic Stress Disorder among Breast Cancer Patients: A Meta-analysis.

BACKGROUND: Prevalence estimates of Posttraumatic Stress Disorder (PTSD) among breast cancer patients varied widely in existing studies. This study aimed to provide an overall prevalence estimate of PTSD among breast cancer patients, and the prevalence estimates related to specific PTSD diagnosis tools. METHODS: Systematic search of relevant articles was made from seven databases. Freeman-Tukey Double Arcsine Transformation was used to estimate the overall prevalence of PTSD. Sub-group and meta-regression analyses were used to investigate the between-study sources of heterogeneity. Publication bias was examined using Egger's funnel plot and Begg test. RESULTS: The pooled prevalence of PTSD among breast cancer patients was [9.6%, 95% confidence intervals (95%CI)=7.9-11.5%]. Studies that used Clinician Administered PTSD Scale-Form (CAPS) method alone yielded much higher prevalence (19.0%, 95%CI=13.1-25.5%, n=5) than three or fourth edition Structured Clinical Interview for Diagnostic and Statistical Manual (SCID) method alone (3.0%, 95%CI= 2.2-3.9%, n=11). Prevalence estimates for studies that used the methods: PTSD Checklist-Civilian Version (PCL-C) cut-off, PCL-C cluster, and Impact of Event Scale (IES) cut-off were (7.0%, 95%CI= 3.9-10.8%, n=10), (11.5%, 95%CI= 8.6-15.6%, n=11) and (15.1%, 95%CI= 12.3-18.2%, n=4), respectively. Heterogeneity between-study was substantial (I2 =44.9-92.3%). CONCLUSION: About 9.6% of the breast cancer patients would develop the PTSD symptoms. Those who were younger, non-Caucasian and recently completed treatment would be at a greater risk of developing PTSD.