Association between HCV infection and diabetes type 2 in Egypt: is it time to split up?

Associations between diabetes mellitus and the risk of hepatocellular carcinoma in Asian individuals with hepatitis B and C infection: systematic review and a meta-analysis of cohort studies

We aim to further analyze and compare associations between diabetes mellitus and the risk of hepatocellular carcinoma (HCC) in Asian individuals with hepatitis B or C virus infection by conducting an updated meta-analysis of cohort studies. Literature search was conducted in PubMed, Scopus, Web of Science, and Cochrane Library from the beginning of indexing for each database to January 1, 2020. A total of 22 articles met the inclusion criteria, in which 18 were cohort studies and 4 were case-control studies. We identified eight cohort studies and three case-control studies that presented results on diabetes mellitus and the risk of HCC in Asian subjects with hepatitis B virus (HBV) infection: the cumulative relative risk (RR) with 95% confidence interval (CI) was 1.37 (95% CI: 1.24 to 1.51; I2 = 27.8%) for cohort studies and cumulative odds ratio (OR) with 95% CI was 1.99 (95% CI: 0.73 to 5.48; I2 = 88.4%) for case-control studies. Thirteen cohort studies and two case-control studies presented results on the association between diabetes mellitus and the risk of HCC in Asian subjects with hepatitis C virus (HCV) infection: the RR with 95% CI was 1.76 (95% CI: 1.42 to 2.17; I2 = 62.8%) for cohort studies and OR with 95% CI was 1.77 (95% CI: 1.18 to 2.64; I2 = 0.0%) for case-control studies. In summary, our meta-analysis strongly supports the association between coexistent HCV and diabetes with the increasing risk of HCC; although the results equally support diabetes mellitus being significantly associated with increased risk of HCC among patients with HBV infection, this correlation is weaker than the former.

Spatial epidemiology of diabetes: Methods and insights

Diabetes mellitus (DM) is a growing epidemic with global proportions. It is estimated that in 2019, 463 million adults aged 20-79 years were living with DM. The latest evidence shows that DM continues to be a significant global health challenge and is likely to continue to grow substantially in the next decades, which would have major implications for healthcare expenditures, particularly in developing countries. Hence, new conceptual and methodological approaches to tackle the epidemic are long overdue. Spatial epidemiology has been a successful approach to control infectious disease epidemics like malaria and human immunodeficiency virus. The implementation of this approach has been expanded to include the study of non-communicable diseases like cancer and cardiovascular diseases. In this review, we discussed the implementation and use of spatial epidemiology and Geographic Information Systems to the study of DM. We reviewed several spatial methods used to understand the spatial structure of the disease and identify the potential geographical drivers of the spatial distribution of DM. Finally, we discussed the use of spatial epidemiology on the design and implementation of geographically targeted prevention and treatment interventions against DM.

Non-autoimmune diabetes mellitus and the risk of virus infections: a systematic review and meta-analysis of case-control and cohort studies

A significant number of studies invoked diabetes as a risk factor for virus infections, but the issue remains controversial. We aimed to examine whether non-autoimmune diabetes mellitus enhances the risk of virus infections compared with the risk in healthy individuals without non-autoimmune diabetes mellitus. In this systematic review and meta-analysis, we assessed case-control and cohort studies on the association between non-autoimmune diabetes and viruses. We searched PubMed, Embase, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, and Web of Science with no language restriction, to identify articles published until February 15, 2021. The main outcome assessment was the risk of virus infection in individuals with non-autoimmune diabetes. We used a random-effects model to pool individual studies and assessed heterogeneity (I²) using the χ2 test on Cochrane's Q statistic. This study is registered with PROSPERO, number CRD42019134142. Out of 3136 articles identified, we included 68 articles (90 studies, as the number of virus and or diabetes phenotype varied between included articles). The summary OR between non-autoimmune diabetes and virus infections risk were, 10.8(95% CI: 10.3-11.4; 1-study) for SARS-CoV-2; 3.6(95%CI: 2.7-4.9, I² = 91.7%; 43-studies) for HCV; 2.7(95% CI: 1.3-5.4, I² = 89.9%, 8-studies;) for HHV8; 2.1(95% CI: 1.7-2.5; 1-study) for H1N1 virus; 1.6(95% CI: 1.2-2.13, I² = 98.3%, 27-studies) for HBV; 1.5(95% CI: 1.1-2.0; 1-study) for HSV1; 3.5(95% CI: 0.6-18.3 , I² = 83.9%, 5-studies) for CMV; 2.9(95% CI: 1-8.7, 1-study) for TTV; 2.6(95% CI: 0.7-9.1, 1-study) for Parvovirus B19; 0.7(95% CI: 0.3-1.5 , 1-study) for coxsackie B virus; and 0.2(95% CI: 0-6.2; 1-study) for HGV. Our findings suggest that, non-autoimmune diabetes is associated with increased susceptibility to viruses especially SARS-CoV-2, HCV, HHV8, H1N1 virus, HBV and HSV1. Thus, these viruses deserve more attention from diabetes health-care providers, researchers, policy makers, and stakeholders for improved detection, overall proper management, and efficient control of viruses in people with non-autoimmune diabetes.

Different Hepatitis C Virus Infection Statuses Show a Significant Risk of Developing Type 2 Diabetes Mellitus: A Network Meta-Analysis

BACKGROUND

The role of hepatitis C virus (HCV) infection statuses in the development of type 2 diabetes mellitus (T2DM) has not been completely understood.

AIM

To evaluate the prevalence of T2DM in patients with different HCV infection statuses.

METHODS

We conducted a systematic study on T2DM risk in five types of individuals with different HCV infection statuses: non-HCV controls, HCV-cleared patients, chronic HCV patients without cirrhosis, patients with HCV cirrhosis and patients with decompensated HCV cirrhosis. Studies published from 2010 to 2019 were selected. Both pairwise and network meta-analyses were employed to compare the T2DM risk among patients with different HCV infection statuses.

RESULTS

The pairwise meta-analysis showed that non-HCV (OR = 0.60, 95% CI [0.47-0.78]) had a lower risk of T2DM compared with CHC, while cirrhosis had a significant higher risk (OR = 1.90, 95% CI [1.60-2.26]). Network meta-analysis further demonstrated patients with HCV infection were at a significantly higher risk of T2DM than those without HCV infection or with HCV clearance, while decompensated cirrhosis had a significant higher T2DM risk than non-HCV (OR = 3.84, 95% CI [2.01-7.34]), patients with HCV clearance (OR = 3.17, 95% CI [1.49-6.73]), and CHC patients (OR = 2.21, 95% CI [1.24-3.94]).

CONCLUSIONS

HCV infection is a significant risk factor for developing T2DM. CHC, cirrhosis, and decompensated cirrhosis contribute to an increasingly greater risk of T2DM, but HCV clearance spontaneously or through clinical treatment may immediately reduce the risk of the onset and development of T2DM.

Geographic Variation and Associated Covariates of Diabetes Prevalence in India

IMPORTANCE

Diabetes is a severe metabolic disorder affecting human health worldwide, with increasing prevalence in low- and middle-income countries. Gaps in knowledge regarding factors that lead to diabetes and its association with tuberculosis (TB) endemicity at the national scale still exist, mainly because of the lack of large-scale dual testing and appropriate evaluation methods.

OBJECTIVES

To identify locations in India where diabetes prevalence is concentrated, examine the association of diabetes with sociodemographic and behavioral covariates, and uncover where high regional TB endemicity overlaps with diabetes.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study included 803 164 men aged 15 to 54 years and women aged 15 to 49 years who participated in the Demographic Health Survey (2015-2016), carried out by the India Ministry of Health and Family Welfare using a 2-stage clustered sampling, which included a diabetes estimation component. The survey was conducted from January 2015 to December 2016, and data analysis was conducted from July 2018 to January 2019.

EXPOSURES

Self-reported diabetes status.

MAIN OUTCOMES AND MEASURES

Self-reported diabetes status was used to estimate the association of covariates, including educational level, sex, age, religion, marital status, alcohol use, tobacco use, obesity status, and household socioeconomic level, with diabetes prevalence. Additionally, regional tuberculosis endemicity level, estimated using the India TB report for 2014 from the Revised National TB Program, was included to evaluate the national extent of the spatial overlap of diabetes and TB.

RESULTS

Among 803 164 sampled individuals (691 982 [86.2%] women; mean [SD] age, 30.09 [9.97] years), substantial geographic variation in diabetes prevalence in India was found, with a concentrated burden at the southern coastline (cluster 1, Andhra Pradesh and Telangana: prevalence, 3.01% [1864 of 61 948 individuals]; cluster 2, Tamil Nadup and Kerala: prevalence, 4.32% [3429 of 79 435 individuals]; cluster 3, east Orissa: prevalence, 2.81% [330 of 11 758 individuals]; cluster 4, Goa: prevalence, 4.43% [83 of 1883 individuals]). Having obesity and overweight (odds ratio [OR], 2.44; 95% CI, 2.18-2.73; P < .001; OR, 1.66; 95% CI, 1.52-1.82; P < .001, respectively), smoking tobacco (OR, 3.04; 95% CI, 1.66-5.56; P < .001), and consuming alcohol (OR, 2.01; 95% CI, 1.37-2.95; P < .001) were associated with increased odds of diabetes. Regional TB endemicity and diabetes spatial distributions showed that there is a lack of consistent geographical overlap between these 2 diseases (eg, TB cluster 4: 60 213 TB cases; 186.79 diabetes cases in 20 183.88 individuals; 0.93% diabetes prevalence; TB cluster 8: 47 381 TB cases; 180.53 diabetes cases in 22 449.18 individuals; 0.80% diabetes prevalence; TB cluster 9: 37 620 TB cases, 601.45 diabetes cases in 12 879.36 individuals; 4.67% diabetes prevalence).

CONCLUSIONS AND RELEVANCE

In this study, identifying spatial clusters of diabetes on the basis of a nationally representative survey suggests that India may face different levels of disease severity, and each region might need to implement control strategies that are more appropriate for its unique epidemiologic context.

Hepatitis C Virus Infection at Primary Healthcare Level in Abha City, Southwestern Saudi Arabia: Is Type 2 Diabetes Mellitus an Associated Factor?

Background: There is an increasing concern about the relation between hepatitis C virus infection (HCV) and type 2 diabetes mellitus (T2DM). The present study aims to determine the prevalence of HCV infection among T2DM patients and non-diabetic patients attending primary healthcare centers (PHCCs) in Abha city, southwestern Saudi Arabia, and to explore the possible association between T2DM and HCV infection. Methods: A cross-sectional study targeting a random sample of T2DM and non-diabetic patients attending PHCCs in Abha City was conducted. Patients were interviewed using a structured questionnaire and screened for HCV infection using fourth-generation ELISA kits. All positive cases were confirmed by qualitative RT-PCR immune assay. Results: The study revealed an overall seroprevalence of HCV infection of 5% (95% CI: 2.9–7.9%). Among T2DM and non-diabetics, a seroprevalence of 8.0% and 2.0% was found, respectively. Using multivariable regression analysis, the only significant associated factor for HCV infection was T2DM (aOR = 4.185, 95% CI: 1.074–16.305). Conclusions: There is strong positive association between T2DM and HCV infection. Yet, the direction of relationship is difficult to establish. Patients with T2DM have higher prevalence of HCV infection than non-diabetic group. It is highly recommended for primary health care providers to screen for HCV infection among T2DM patients and to increase the level of HCV awareness among them.

Association between hepatitis C infection and cerebro-cardiovascular disease: analysis of a national population-based survey in Egypt

OBJECTIVES

To examine the association between hepatitis C virus (HCV) infection, cardiovascular risk factors and cerebro-cardiovascular (CCV) disease.

METHODS

The source of data was the Egypt Health Issues Survey conducted in 2015. Participants were 11 256 individuals with complete HCV testing, age 25-59 years. Data on demographics, cardiovascular risk factors, CCV disease (myocardial infarction and/or cerebral stroke) and HCV infection were retrieved. Descriptive, bivariate, multivariable logistic regression and sensitivity analyses were performed to determine the independent association of past HCV exposure or chronic infection with diabetes, hypertension and CCV disease.

RESULTS

3.9% of participants were antibody positive/RNA negative and considered to have past HCV exposure; 7.9% had detectable HCV-RNA and were considered to have chronic infection. Participants with negative antibodies and no history of liver disease (n = 9928) were the control group. In addition to the previously known risk factors, multivariable analyses revealed that diabetes was independently associated with past HCV exposure (OR = 1.71, 95% CI: 1.27-2.32) and HCV chronic infection (OR = 1.56, 95% CI: 1.23-1.97), whereas CCV disease was independently associated with past exposure (OR = 2.69, 95% CI: 1.62-4.46) and not with chronic infection. No evidence of an association between hypertension and either HCV status was found.

CONCLUSION

The association of both past HCV exposure and chronic infection with diabetes and that of past HCV exposure with CCV disease may suggest targeting HCV-positive reactors for preventive and curative programmes addressing extrahepatic complications.

Synthesis: Deriving a Core Set of Recommendations to Optimize Diabetes Care on a Global Scale

BACKGROUND

Diabetes afflicts 382 million people worldwide, with increasing prevalence rates and adverse effects on health, well-being, and society in general. There are many drivers for the complex presentation of diabetes, including environmental and genetic/epigenetic factors.

OBJECTIVE

The aim was to synthesize a core set of recommendations from information from 14 countries that can be used to optimize diabetes care on a global scale.

METHODS

Information from 14 papers in this special issue of Annals of Global Health was reviewed, analyzed, and sorted to synthesize recommendations. PubMed was searched for relevant studies on diabetes and global health.

FINDINGS

Key findings are as follows: (1) Population-based transitions distinguish region-specific diabetes care; (2) biological drivers for diabetes differ among various populations and need to be clarified scientifically; (3) principal resource availability determines quality-of-care metrics; and (4) governmental involvement, independent of economic barriers, improves the contextualization of diabetes care. Core recommendations are as follows: (1) Each nation should assess region-specific epidemiology, the scientific evidence base, and population-based transitions to establish risk-stratified guidelines for diagnosis and therapeutic interventions; (2) each nation should establish a public health imperative to provide tools and funding to successfully implement these guidelines; and (3) each nation should commit to education and research to optimize recommendations for a durable effect.

CONCLUSIONS

Systematic acquisition of information about diabetes care can be analyzed, extrapolated, and then used to provide a core set of actionable recommendations that may be further studied and implemented to improve diabetes care on a global scale.