Non-communicable diseases and tuberculosis: Anticipating the impending global storm

Genetic insights into the connection between pulmonary TB and non-communicable diseases: An integrated analysis of shared genes and potential treatment targets

BACKGROUND

Pulmonary Tuberculosis (PTB) is a significant global health issue due to its high incidence, drug resistance, contagious nature, and impact on people with compromised immune systems. As mentioned by the World Health Organization (WHO), TB is responsible for more global fatalities than any other infectious illness. On the other side, WHO also claims that noncommunicable diseases (NCDs) kill 41 million people yearly worldwide. In this regard, several studies suggest that PTB and NCDs are linked in various ways and that people with PTB are more likely to acquire NCDs. At the same time, NCDs can increase susceptibility to active TB infection. Furthermore, because of potential drug interactions and therapeutic challenges, treating individuals with both PTB and NCDs can be difficult. This study focuses on seven NCDs (lung cancer (LC), diabetes mellitus (DM), Parkinson's disease (PD), silicosis (SI), chronic kidney disease (CKD), cardiovascular disease (CVD), and rheumatoid arthritis (RA)) and rigorously presents the genetic relationship with PTB regarding shared genes and outlines possible treatment plans.

OBJECTIVES

BlueThis study aims to identify the drug components that can regulate abnormal gene expression in NCDs. The study will reveal hub genes, potential biomarkers, and drug components associated with hub genes through statistical measures. This will contribute to targeted therapeutic interventions.

METHODS

Numerous investigations, including protein-protein interaction (PPI), gene regulatory network (GRN), enrichment analysis, physical interaction, and protein-chemical interaction, have been carried out to demonstrate the genetic correlation between PTB and NCDs. During the study, nine shared genes such as TNF, IL10, NLRP3, IL18, IFNG, HMGB1, CXCL8, IL17A, and NFKB1 were discovered between TB and the above-mentioned NCDs, and five hub genes (NFKB1, TNF, CXCL8, NLRP3, and IL10) were selected based on degree values.

RESULTS AND CONCLUSION

In this study, we found that all of the hub genes are linked with the 10 drug components, and it was observed that aspirin CTD 00005447 was mostly associated with all the other hub genes. This bio-informatics study may help researchers better understand the cause of PTB and its relationship with NCDs, and eventually, this can lead to exploring effective treatment plans.

Comorbidity profiles among sputum-positive tuberculosis patients in Cameroon

Introduction

Comorbid non-communicable diseases (NCDs) like diabetes, cardiovascular diseases (CVD), kidney diseases, and hypertension, could have implications for tuberculosis (TB) treatment management and increase the disease burden amongst active TB patients.

Methods

This cross-sectional study aimed at profiling comorbidities amongst sputum-positive TB patients in the South West and Littoral regions of Cameroon and was relevant for improving disease management and public health interventions. Diabetes was defined by elevated blood glucose, body mass index (underweight: <18.5 kg/m2, normal: 18.5-<25.0 kg/m2, overweight: 25-<30 kg/m2 and obese: ≥30.0 kg/m2) and hypertension by elevated blood pressure levels (i.e., systolic ≥130 mmHg or diastolic ≥80 mmHg). Socio-demographic and clinical data were collected using case report forms. Descriptive analysis was performed, bivariate logistic regression analysis was computed with at least one comorbidity as the dependent variable (global model) and a multivariable logistic regression analysis was done to provide adjusted odds ratios (final model). The covariate with the highest p-value was removed until p < 0.25 cut-off, using R software version 4.3.1. p-value <0.05 at 95% confidence interval was considered statistically significant.

Results

Five hundred and forty-nine sputum-positive microscopically confirmed active TB patients were enrolled into this study. Two-thirds (65.8%) of the total patients were male. Overall, 56 sputum-positive TB patients had at least one non-communicable disease, thus a prevalence of 10.2% (95% CI = 7.9-13.0). The most frequently recorded NCD was diabetes 4.4% (95% CI = 3.1-6.7) followed by kidney disease 2% (95% CI = 1.1-3.6), hypertension 0.9% (95% CI = 0.4-2.2), and CVD 0.91% (95% CI = 0.4-2.2). Three TB patients (0.6%) had all four comorbidities examined. Age group (p < 0.001), and level of education (p = 0.049) were factors significantly associated with having at least one comorbidity.

Discussion

Our findings showed that diabetes was significantly the most prevalent comorbid NCD amongst sputum-positive TB patients (p < 0.001). HIV status, occupation, body mass index (BMI), and alcohol intake were not significantly associated with having at least one comorbidity. Implementing public health intervention programmes such as systematic screening of TB patients for NCDs especially diabetes is highly recommended for better control of these diseases.

Integration Challenges and Opportunity of Implementing Non-Communicable Disease Screening Intervention with Tuberculosis Patient Care: A Mixed Implementation Study

Background

Despite the comorbidity, early detection and treatment of the two diseases are highly recommended; however, a few pilot studies were conducted, which are mainly focused on diabetes mellitus screening and the integration opportunity and challenges were not known. The study aimed to identify integrated implementation challenges and opportunities of non-communicable disease and risk factors screening intervention with tuberculosis patient care.

Methods

A mixed implementation study design was used. Data were collected from a sample of 443 tuberculosis patients, 21 key informants and facility observations. For quantitative data, descriptive statistics for proportion were summarized in tables and figures. Four distinct implementation frame was adapted for thematic analysis of audio recordings, daily verbatim transcription, and descriptive field notes.

Results

The prevalence of hypertension and diabetes mellitus among tuberculosis patients were 6.55% and 5.64%, respectively. Totally 9 subthemes and 21 new codes were developed, of which 13 and 8 new codes were developed for integrated implementation challenges and opportunities, respectively. The absence of medical equipment, skill and knowledge training, record and report system, cooperative integration, feedback, referral system, shortage of supporting agencies, and services not free were external challenges, whereas lack of trained health workers, focal persons, and increased workload and absence of awareness creation were internal challenges. Despite the challenges, the presence of health extension programs, non-governmental organizations, community health care insurance and associations for diabetes mellitus were external opportunities. Availability of assigned focal persons, trained stakeholders, guidelines, information systems and compatible tuberculosis program structure were internal opportunities.

Conclusion

The majority of TB patients were not comorbid with NCDs. We build a favourable system for integrated implementation developing an integration platform and structural authority at a different organization by addressing identified challenges and applying facilitators is crucial.

Predictors of Tuberculosis and Non-Communicable Disease Comorbidities Among Newly Enrolled Tuberculosis Patients, Southern Ethiopia

Introduction

Non-communicable diseases are comorbid with tuberculosis, however only a few record review based studies have been conducted, which are more concentrated on elevated glucose levels. This study aimed to assess non-communicable disease comorbidity and its predictors among tuberculosis patients.

Methods

A prospective cross-sectional study design was used and the data were collected by a previously validated tool from a sample of 443 tuberculosis patients using cluster random sampling methods. Multinomial logistic regression was interpreted by relative risk to predict the association of comorbidity status with independent variables.

Results

The majority (87.81%) of TB patients were not comorbid with NCDs. The prevalence of hypertension and diabetes mellitus among tuberculosis patients were 6.55%, and 5.64%, respectively. The people who had a risk score >8 were 6.47 times more likely to have tuberculosis comorbid with one non-communicable disease compared to those with a risk score ≤8. The relative risk of tuberculosis patients with BMI >25 is 3.33 times compared to those with a BMI <23 of being comorbid with one non-communicable disease vs tuberculosis patients without non-communicable diseases. Those tuberculosis patients with an awareness of non-communicable disease comorbidities are 9.33 times more likely to have tuberculosis with multi-comorbidities compared to those who are unaware.

Conclusion

The majority of TB patients were not comorbid with NCDs. The person's weight, family size of more than five, monthly income >3000 birr, risk score >8 and BMI >25 significantly predict comorbidity with one non-communicable disease compared to those without a comorbidity. The presence of non-communicable disease comorbidity, treatment awareness, and being aged 50+ years significantly predict the presence of multi-comorbidities compared to those without comorbidity. For early detection and management of both diseases, establishing bidirectional screening platforms in tuberculosis care programs is urgently required.

Epidemiologic transition and the double burden of disease in Ghana: What do we know at the neighborhood level?

Many developing countries including Ghana are currently experiencing dual disease burdens emerging from an unprecedented risk overlap that drive their epidemiological transitions. Yet, siloed and disintegrated approaches continue to take precedence in health research and policy programs that drive competition for limited resources to address competing health problems. The objective of this study was to offer empirical evidence in support of a cogent argument for an integrated framework for the study and management of infectious and chronic health conditions in Ghana. We did so by examining the prevalence, determinants, and neighborhoods trajectories of the double burden of disease using data from a cross-sectional neighborhood-based study in Ghana. We fitted multinomial multilevel multivariate models to a sample of 1377 individual surveys and the results presented as odds ratios. Findings show that amidst a rising burden of NCDs, infectious diseases remain the most common health condition and participants in deprived neighborhoods were significantly more likely to report poor health outcomes. Risk factors such as tobacco and alcohol consumption were significantly associated with NCDs and infectious diseases and respondents who reported being diagnosed with NCDs and infectious diseases in the past year were likely to engage in leisure time physical activities and eat healthy. Based on our findings, we recommend health reforms in Ghana and argue for the design and implementation of an integrated framework for the study and management of the double burden of disease in Ghana and similar developing country settings.

Association of Diabetes with Meningitis Infection Risks: A Systematic Review and Meta-Analysis

Background

The Global Burden of Disease Study in 2016 estimated that the global incident cases of meningitis have increased by 320,000 between 1990 and 2016. Current evidence suggests that diabetes may be a prime risk factor for meningitis among individuals, including older adults. However, findings of prior studies on this topic remain inconsistent, making a general conclusion relatively difficult. This study aimed to quantitatively synthesize the literature on the risk of meningitis associated with diabetes and compare the risk across different global regions.

Method

Literature search and study design protocol followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The search was conducted in PubMed, Web of Science, African Journal Online, and Google Scholar using relevant MESH terms. A random effect model was used to pull effect sizes.

Results

Initial search yielded 772 papers but 756 studies were excluded due to duplicity and not meeting inclusion criteria. In all, 16 papers involving 16847 cases were used. The pulled effect size (ES) of the association between diabetes and meningitis was 2.240 (OR = 2.240, 95% CI = 1.716-2.924). Regional-base analysis showed that diabetes increased the risk of developing meningitis in Europe (OR = 1.737, 95% CI = 1.299-2.323), Asia (OR = 2.192, 95% CI = 1.233-3.898), and North America (OR = 2.819, 95% CI = 1.159-6.855). These associations remained significant in the study design and etiological classe-based subgroup analyses. However, we surprisingly found no studies in Africa or South America.

Conclusion

Diabetes is a risk factor for developing meningitis. Given that no research on this topic came from Africa and South America, our findings should be contextually interpreted. We, however, encourage studies on diabetes-meningitis linkages from all parts of the world, particularly in Africa and South America, to confirm the findings of the present study.

Integrating tuberculosis and noncommunicable diseases care in low- and middle-income countries (LMICs): A systematic review

BACKGROUND

Low- and middle-income countries (LMICs) are facing a combined affliction from both tuberculosis (TB) and noncommunicable diseases (NCDs), which threatens population health and further strains the already stressed health systems. Integrating services for TB and NCDs is advantageous in tackling this joint burden of diseases effectively. Therefore, this systematic review explores the mechanisms for service integration for TB and NCDs and elucidates the facilitators and barriers for implementing integrated service models in LMIC settings.

METHODS AND FINDINGS

A systematic search was conducted in the Cochrane Library, MEDLINE, Embase, PubMed, Bibliography of Asian Studies, and the Global Index Medicus from database inception to November 4, 2021. For our search strategy, the terms "tuberculosis" AND "NCDs" (and their synonyms) AND ("delivery of healthcare, integrated" OR a range of other terms representing integration) were used. Articles were included if they were descriptions or evaluations of a management or organisational change strategy made within LMICs, which aim to increase integration between TB and NCD management at the service delivery level. We performed a comparative analysis of key themes from these studies and organised the themes based on integration of service delivery options for TB and NCD services. Subsequently, these themes were used to reconfigure and update an existing framework for integration of TB and HIV services by Legido-Quigley and colleagues, which categorises the levels of integration according to types of services and location where services were offered. Additionally, we developed themes on the facilitators and barriers facing integrated service delivery models and mapped them to the World Health Organization's (WHO) health systems framework, which comprises the building blocks of service delivery, human resources, medical products, sustainable financing and social protection, information, and leadership and governance. A total of 22 articles published between 2011 and 2021 were used, out of which 13 were cross-sectional studies, 3 cohort studies, 1 case-control study, 1 prospective interventional study, and 4 were mixed methods studies. The studies were conducted in 15 LMICs in Asia, Africa, and the Americas. Our synthesised framework explicates the different levels of service integration of TB and NCD services. We categorised them into 3 levels with entry into the health system based on either TB or NCDs, with level 1 integration offering only testing services for either TB or NCDs, level 2 integration offering testing and referral services to linked care, and level 3 integration providing testing and treatment services at one location. Some facilitators of integrated service include improved accessibility to integrated services, motivated and engaged providers, and low to no cost for additional services for patients. A few barriers identified were poor public awareness of the diseases leading to poor uptake of services, lack of programmatic budget and resources, and additional stress on providers due to increased workload. The limitations include the dearth of data that explores the experiences of patients and providers and evaluates programme effectiveness.

CONCLUSIONS

Integration of TB and NCD services encourages the improvement of health service delivery across disease conditions and levels of care to address the combined burden of diseases in LMICs. This review not only offers recommendations for policy implementation and improvements for similar integrated programmes but also highlights the need for more high-quality TB-NCD research.

Exploring the mechanisms of collaboration between the Tuberculosis and Diabetes Programs for the control of TB-DM Comorbidity in Ghana

OBJECTIVES

To explore the mechanisms of collaboration between the stakeholders, including National Tuberculosis Control Program (NTP) and the Non-Communicable Disease Control and Prevention Program (NCDCP) at the national, regional, and local (health facility) levels of the health care system in Ghana. This is one of the objectives in a study on the "Barriers and Facilitators to the Implementation of the Collaborative Framework for the Care and Control of Tuberculosis and Diabetes in Ghana" RESULTS: The data analysis revealed 4 key themes. These were (1) Increased support for communicable diseases (CDs) compared to stagnant support for non-communicable diseases (NCDs), (2) Donor support, (3) Poor collaboration between NTP and NCDCP, and (4) Low Tuberculosis-Diabetes Mellitus (TB-DM) case detection.

United States immigration detention amplifies disease interaction risk: A model for a transnational ICE-TB-DM2 syndemic

Detention and removal of unauthorised immigrants by United States (U.S.) Immigration and Customs Enforcement (ICE) has steadily increased despite declining rates of unauthorised migration. ICE detainees are held in overcrowded detention centres, often without due process and deprived of adequate food, sanitation, and medical care. Conditions of ICE detention contribute to malnutrition and increase the likelihood of infectious disease exposure, including tuberculosis (TB). TB infection interacts with Type 2 Diabetes (DM2), disproportionately affecting individuals who are routinely targeted by federal immigration practices. When two diseases interact and exacerbate one another within a larger structural context, thereby amplifying multiple disease interactions, this is called a syndemic. In this paper, we examine malnutrition in ICE detention as a pathway of bidirectional risks for and interactions between TB and DM2 among ICE detainees. Drawing from literature on detention conditions, TB, and DM2 rates along the U.S.-Mexico border, we propose an ICE-TB-DM2 syndemic model. We present a map displaying our proposed syndemic model to demonstrate the spatial application of syndemic theory in the context of ICE detention, strengthening the growing scholarship on syndemics of incarceration and removal.

Achieving universal health coverage for people with stroke in South Africa: protocol for a scoping review

INTRODUCTION

Stroke is the second most common cause of death after HIV/AIDS and a significant health burden in South Africa. The extent to which universal health coverage (UHC) is achieved for people with stroke in South Africa is unknown. Therefore, a scoping review to explore the opportunities and challenges within the South African health system to facilitate the achievement of UHC for people with stroke is warranted.

METHODS AND ANALYSIS

The scoping review will follow the approach recommended by Levac, Colquhoun and O'Brien, which includes five steps: (1) identifying the research question, (2) identifying relevant studies, (3) selecting the studies, (4) charting the data, and (5) collating, summarising and reporting the results. Health Systems Dynamics Framework and WHO Framework on integrated people-centred health services will be used to map, synthesise and analyse data thematically.

ETHICS AND DISSEMINATION

Ethical approval is not required for this scoping review, as it will only include published and publicly available data. The findings of this review will be published in an open-access, peer-reviewed journal and we will develop an accessible summary of the results for website posting and stakeholder meetings.

Prevalence and Associated Factors of Compliance Behaviors among Middle-Aged and Older Hypertensive Patients in China: Results from the China Health and Retirement Longitudinal Study

Partial or total non-adherence has been recognized as major issues in the long-term management of hypertension. This study aims to investigate the prevalence and associated factors of compliance behaviors among Chinese middle-aged and older hypertensive patients. A sample of 6308 hypertensive patients aged ≥45 years was obtained from the 2015 China Health and Retirement Longitudinal Study (CHARLS) data. Two compliance behaviors were involved including medication and blood pressure monitoring. Stratified binary logistic regression analysis was employed to examine the associated factors. 77.2% of the participants reported medication compliance, and 40.7% complied with blood pressure monitoring. Better medication compliance associated with older age, overweight or obesity, one or ≥3 complications, no drinking, living in urban areas, and health education. Better blood pressure monitoring compliance associated with older age, overweight or obesity, ≥3 complications, normal activities of daily living (ADL), no smoking, sleep duration of 6-8 h, better cognitive function, living in urban areas, education level of middle school or above, and health education. Chinese middle-aged and older hypertensive patients experienced unoptimistic compliance behaviors, especially for blood pressure monitoring. Special attention and targeted interventions are urgent for the high-risk population of poor compliance behaviors, such as rural individuals, low educational population, and younger hypertensive patients.

Forecasting tuberculosis using diabetes-related google trends data

Online activity-based data can be used to aid infectious disease forecasting. Our aim was to exploit the converging nature of the tuberculosis (TB) and diabetes epidemics to forecast TB case numbers. Thus, we extended TB prediction models based on traditional data with diabetes-related Google searches. We obtained data on the weekly case numbers of TB in Germany from June 8th, 2014, to May 5th, 2019. Internet search data were obtained from a Google Trends (GTD) search for 'diabetes' to the corresponding interval. A seasonal autoregressive moving average (SARIMA) model (0,1,1) (1,0,0) [52] was selected to describe the weekly TB case numbers with and without GTD as an external regressor. We cross-validated the SARIMA models to obtain the root mean squared errors (RMSE). We repeated this procedure with autoregressive feed-forward neural network (NNAR) models using 5-fold cross-validation. To simulate a data-poor surveillance setting, we also tested traditional and GTD-extended models against a hold-out dataset using a decreased 52-week-long period with missing values for training. Cross-validation resulted in an RMSE of 20.83 for the traditional model and 18.56 for the GTD-extended model. Cross-validation of the NNAR models showed a mean RMSE of 19.49 for the traditional model and 18.99 for the GTD-extended model. When we tested the models trained on a decreased dataset with missing values, the GTD-extended models achieved significantly better prediction than the traditional models (p < 0.001). The GTD-extended models outperformed the traditional models in all assessed model evaluation parameters. Using online activity-based data regarding diabetes can improve TB forecasting, but further validation is warranted.