Tuberculosis (TB) is an infectious
disease caused by the bacteria Mycobacterium tuberculosis, which typically
affects the lungs but can also affect other organs [[1]].
This disease is one of the top 10 causes of death in the world and the major
cause from a single infectious agent, overtaking HIV/AIDS [[2]].
Despite being preventable and treatable, tuberculosis remains a serious
worldwide health issue [[3]].
The World Health Organization (WHO)
End TB Strategy has been developed within the context of the United Nations
‘Sustainable Development Goals. Studies show diagnosis to be one of the weakest
links in the Cascade of care [[4]],
and the diagnostic gaps remain greater for TB than for any other infectious
disease [[5]].
In 2014, the WHO and its partners defined the highest priority diagnostic needs
in TB and the target product profiles (TPPs) for tests to address those needs [[6]-[7]].
In 2017, an estimated 10 million people developed active TB for the first time,
and 1.3 million people died from TB [[8]].
In 2020, there were estimated 10 million new cases of tuberculosis worldwide,
with low- and middle-income countries bearing the biggest burden. The disease
is especially widespread in areas with high prevalence of HIV, poverty, and
malnutrition, all of which are major risk factors for tuberculosis infection
and progression [[9]].
TB is a public health crisis in many regions of the world, with an anticipated
1.5 million fatalities in 2020, including 214,000 among persons living with HIV
[2].
Tuberculosis (TB) is an airborne
infection spread by respiratory droplets, and prolonged and intimate contact
with an infected people considerably increases the risk of disease acquisition.
A chronic cough lasting more than three weeks, chest pain, and haemoptysis are
among the indications of pulmonary tuberculosis. Systemic symptoms include
fatigue, fever, night sweats, and unintended weight loss. Diagnosing
tuberculosis (TB) necessitates a thorough examination that includes the
patient's medical history, physical examination, radiographic imaging (chest
X-ray), and microbiological tests such as sputum smear microscopy and culture,
whereas latent TB infection is detected using the tuberculin skin test (TST)
and interferon-gamma release assays (IGRAs) [[10]].
TB can be cured with a long course of antibiotic therapy, usually lasting six
to nine months, using standard first-line drugs like isoniazid, rifampin,
ethambutol, and pyrazinamide, with strict adherence to the treatment regimen
required to prevent the emergence of drug-resistant TB strains. Preventative
methods include inoculation with the Bacillus Calmette-Guérin (BCG) vaccine,
which is highly effective in children, diagnosing and treating latent
tuberculosis infections, and enforcing sufficient ventilation and infection
control protocols in high-risk situations to reduce transmission. Tuberculosis
is a major global health concern, particularly in low- and middle-income
countries, with efforts to control and eradicate the illness focusing on early
detection, effective treatment, and comprehensive public health policies [[11]].
The current study involves the
investigational study of analysis of high incidences of tuberculosis in the
region of Malegaon and to understand the etiological factors causing
Tuberculosis.
MATERIAL AND METHOD:
The study was designed as Multi
centre Observational study and was conducted at Malegaon Civil Hospital
(Samanya Rugnalay Malegaon.) (M.S.), Haroon Ansari Government Hospital, AIMS
hospital, Abhinandan Hospital for the period of 10 months in 5 phases. The
objectives were to evaluate TB patient treatment reports, identify at-risk
communities, assess etiological factors through population-based observational
studies in Malegaon, investigate associated risk factors and TB medication
awareness, analyse the high incidence of pulmonary TB in Malegaon, and provide
an in-depth analysis of cost-effective TB treatments. The source of the data
collected were: Patient Proforma, Treatment chart, Laboratory data report, Patient
history records, Verbal communication with patients, Patients’ previous
prescription report.
Inclusion criteria:
· Patients with Sputum Positive tests are included.
· Patients with Sputum Negative tests but doubtful are included.
· Patients willingly filled ICF are included.
· Patients are male or female having the age between 18years above.
· Patients diagnosed with TB (Clinically or Laboratory criteria)
· All type of TB tests is included.
· Willing to start anti TB treatment after diagnosis.
· Initiation of TB drugs for more than 3 days.
· History of TB treatment during the last 6 months.
Exclusion criteria:
· Any known contraindication in Anti TB treatment is excluded.
· Children’s below 6 years are excluded.
· Patients having severe disorders like HIV, kidney stone, hepatitis
are excluded.
· Pregnant women are excluded.
· Patients with macro vascular complications such as cardiovascular,
cerebrovascular and peripheral vascular diseases are excluded.
· All Prisoners are excluded.
· Patients who were suffering from chronic diseases like kidney
failures are excluded.
Study Procedure:
After the ethical approval from the
institutional ethical committee, the head of the collaborating
departments/institutions were approached and the aim and objectives of the
study were explained. Informed consent forms were collected prior from the
patients willing to participate in the study. A sample size of 70 TB patients
were selected and stratified in three groups on the basis of the age as:
stratified into three age groups: children (7-17 years), adults (18-40 years),
and elderly (43-75 years). The data collected were quantitative data and
qualitative data.
Quantitative data includes Medical
Records including comprehensive from healthcare facilities, including
government hospitals. This information encompasses TB types, X-ray and CT scan
reports, treatment charts, blood sputum tests, and dispensary medicine reports,
as well as records from hospital in-charges and physicians' notes. Also, it
includes the Demographic Data as Age, gender, socioeconomic status, and
residential information were gathered for each patient.
Qualitative Data includes Interviews
with healthcare providers, patients, and caregivers were conducted to gain
insights into the barriers to TB diagnosis and treatment. And also, the Focus
group discussions with community members were held to understand public
perceptions of TB and identify potential gaps in awareness and education.
Data Analysis:
Quantitative Analysis:
Descriptive Statistics was used to
summarize demographic data, treatment outcomes, and diagnostic reports. Whereas
Inferential Statistics used involves the logistic regression and
chi-square tests were employed to identify correlations between TB incidence
and etiological factors such as socioeconomic status, living conditions, and
nutritional status.
Qualitative Analysis:
Thematic Analysis was conducted on
interview and focus group data to identify common themes and patterns related
to TB awareness, treatment barriers, and community perceptions.
RESULTS:
Demographic Analysis:
Age Distribution: A significant
number of TB cases were discovered among individuals aged 20-40 years,
indicating a heavy impact on the working-age population.
Gender Distribution: Men were
slightly more affected than women, possibly because of work exposures and
lifestyle choices.
Socioeconomic factors:
Poverty and income levels:
Low-income groups showed the highest incidence rates. Families living below the
poverty line were more likely to get tuberculosis, emphasizing the link between
economic position and health.
Education Levels: Areas with lower
literacy rates have higher tuberculosis incidence, demonstrating a link between
education and disease risk. A lack of knowledge about tuberculosis prevention
and treatment adds to the problem.
Environmental Factors:
Population Density: High population
density in certain wards of Malegaon correlates with higher TB incidence,
suggesting that overcrowding facilitates the spread of the disease.
Housing Conditions: Poor housing
conditions, including inadequate ventilation and overcrowded living spaces,
were common in areas with high TB rates.
Health System Factors:
Healthcare Access: Limited access to
healthcare facilities and services was a significant barrier. Many affected
individuals reported difficulty in accessing timely diagnosis and treatment.
Public Health Initiatives: Public
health campaigns were found to be insufficient in reaching all segments of the
population. Gaps in TB control programs and lack of follow-up on treatment
adherence were noted.
Biological Factors:
HIV Co-infection: A notable
percentage of TB patients were also HIV-positive, underscoring the interplay
between TB and HIV. Co-infection complicates treatment and increases
susceptibility.
Malnutrition: High rates of
malnutrition were observed among TB patients, weakening their immune systems
and increasing vulnerability to TB.
Statistical Analysis:
Correlation Analysis: Statistical
tests revealed significant correlations between TB incidence and factors such
as population density, poverty, and education levels.
Regression Analysis: Regression
models indicated that socioeconomic and environmental factors collectively
explain a substantial proportion of the variance in TB incidence rates.
Geospatial Analysis:
Hotspot Identification: Geospatial
mapping identified several TB hotspots in Malegaon, primarily in densely
populated and economically disadvantaged areas. These hotspots are priority
areas for targeted interventions.
Case Studies:
Individual Case Reviews: Detailed
examination of TB cases highlighted common patterns such as delayed diagnosis,
incomplete treatment, and lack of awareness about TB symptoms and prevention.
Recommendations for Action:
Based on these results, the
following actions are recommended to combat TB in Malegaon:
1. Education and Awareness Campaigns: Enhance education about TB prevention and treatment, particularly
in low-literacy areas.
2. Improving Housing Conditions: Initiate
projects to improve housing conditions, focusing on ventilation and reducing
overcrowding.
3. Expanding Healthcare Access: Increase
the number of healthcare facilities and ensure they are equipped to diagnose
and treat TB effectively.
4. Strengthening Public Health Campaigns: Implement robust public health campaigns and ensure consistent
follow-up with TB patients to ensure treatment adherence.
5. Managing HIV-TB Co-infection: Integrate
TB and HIV services for comprehensive care of co-infected individuals.
6. Nutrition Programs: Implement
nutrition programs to improve the overall health and immunity of the
population.
7. Policy Support: Advocate for
stronger government policies and funding to support TB control initiatives.
Age Distribution:
The analysis reveals distinct
age-related trends in TB incidence:
Children (7-17 years): 20% of cases
Adults (18-40 years): 50% of cases
Elderly (43-75 years): 30% of cases
Figure 1: Graphical Representation of age
groups of TB affected patients
Figure 2: Graphical Representation Etiological
Factors causing TB
DISCUSSION:
Tuberculosis (TB) remains a critical
public health issue in many parts of the world, including India. Malegaon, a
city in Maharashtra, exemplifies a region with particularly high TB incidence
rates. This discussion delves into the multifaceted reasons behind this high
incidence and explores the etiological factors contributing to TB prevalence in
Malegaon.
TB is a contagious bacterial
infection caused by Mycobacterium tuberculosis. It primarily affects the lungs
but can also affect other parts of the body. Common symptoms include coughing
(sometimes with blood), chest pain, fever, night sweats, and weight loss. TB
can be treated and cured with antibiotics, but it requires a long-term
treatment regimen to ensure the bacteria are fully eradicated. A discussion has
been conducted with various physicians and the major outcome was mentioned
below as per their perspective.
In 25 years of clinical practice,
this physician has treated all types of TB patients, including children,
adults, and the elderly. The recommended diagnostic tests include blood tests,
CT scans, CSF tests, sputum tests, MTS tests, and TRP tests. Common symptoms
observed are a long-term cough, loss of appetite, blood cough, evening rise of
temperature, loss of weight, high fever, and blood sputum. The primary
treatment involves first-line drugs such as Isoniazid, Rifampin, Ethambutol,
and Pyrazinamide. Based on economic conditions, patients are referred to
private hospitals, chest physicians, government hospitals, or the Civil
Hospital Malegaon. The physician also emphasizes educating TB patients about
avoiding contact with others to prevent the spread of the bacteria.
An another physician has reported that
with 42 years of clinical practice, this physician has also seen all types of
TB patients. Types of TB observed include pulmonary (most common), meningitis,
skeletal, peritonitis, miliary, cutaneous, genitourinary, and gastrointestinal
TB. The recommended tests are the Mantoux tuberculin test, sputum test, biopsy
test (for cervical neck and lymph node enlargement), bone marrow test, and
blood test. Symptoms include an evening rise in temperature, loss of appetite,
high fever, and blood sputum. The primary treatment includes first-line TB
drugs and injections like Streptomycin. If there is no response after six
months of treatment, patients are referred to civil hospitals or higher centres
like Nashik Hospital for MDR-TB cases, and to neurologists for brain TB. This
physician also encourages participation in TB-related programs and NGO
initiatives for increased knowledge and awareness.
Pollution and Its Impact on TB
Data Collection: Environmental data is gathered from air quality monitoring
stations, satellite imagery, and other environmental sensors. Health data is
collected from health departments, hospitals, and clinics.
Exposure Assessment: Personal exposure monitoring is conducted using wearable air
quality monitors, and time-activity patterns are analysed to estimate the
duration and intensity of exposure to various pollutants.
Data Integration: Environmental data is integrated with health data to create a
comprehensive dataset, with geospatial integration using Geographic Information
Systems (GIS) to overlay pollution data with TB incidence data.
Analysis and Interpretation: Statistical analyses, such as correlation and regression analysis,
are performed to identify correlations and potential causal relationships
between pollution levels and TB rates. Risk maps are created to visualize areas
with high pollution and high TB incidence.
Public Health Interventions: Policies are developed to reduce pollution levels, such as
regulations on industrial emissions, traffic management, and promotion of clean
cooking technologies. Community-based interventions are implemented to reduce
exposure to pollutants, and health education campaigns are conducted to inform
the public about the health risks associated with pollution and the importance
of TB prevention and treatment.
Challenges and Considerations:
Ensuring high-quality, accurate, and
reliable data for both pollution and TB incidence is crucial. Controlling for
confounding factors, such as socioeconomic status, healthcare access, and
comorbidities like HIV, is essential. Temporal variability of pollution
exposure and its delayed effects on TB development must be considered.
Addressing resource constraints for comprehensive monitoring and data
collection in urban slum areas is also important.
Comprehensive Approach to Combat TB
in Malegaon:
Addressing the high incidence of TB
in Malegaon requires a multi-faceted approach that tackles socioeconomic,
environmental, and healthcare system factors. By understanding and addressing
these underlying causes, effective strategies can be developed to combat TB and
improve public health outcomes in the region.
Socioeconomic Interventions: Providing financial assistance and improving job opportunities can
alleviate poverty, thereby reducing the risk of TB transmission. Enhancing
education about TB prevention and treatment can empower individuals to take
proactive measures against the disease.
Environmental Improvements: Initiatives to improve housing conditions, such as building
well-ventilated and spacious homes, can reduce the spread of TB in overcrowded
areas. Improving sanitation and access to clean water can reduce the overall
burden of infectious diseases, including TB.
Healthcare System Strengthening: Expanding healthcare infrastructure and services, particularly in
remote and underserved areas, will enable timely diagnosis and treatment of TB.
Effective public health campaigns focused on TB awareness, prevention, and
treatment adherence can lead to better health outcomes.
Biological and Nutritional Support: Addressing malnutrition through community-based nutrition programs
can enhance immune function and reduce vulnerability to TB. Integrating TB and
HIV services to manage co-infections more effectively ensures that individuals
receive comprehensive care.
Policy and Governance: Strong government policies and funding support are crucial for the
implementation of TB control programs. This includes political will and
commitment to allocate resources effectively. Engaging the community in TB
control efforts can improve compliance with treatment protocols and reduce
stigma associated with the disease.
Research and Monitoring: Continuous research to identify emerging trends and factors
contributing to TB incidence will help in adapting and improving intervention
strategies. Implementing robust monitoring and evaluation mechanisms to assess
the effectiveness of TB control programs and make data-driven adjustments.
Collaboration and Partnerships: Partnerships with local health authorities, non-governmental
organizations (NGOs), and international health agencies can bring in expertise,
resources, and innovative solutions. A coordinated effort involving various
sectors such as health, education, housing, and social services is essential
for a comprehensive TB control strategy.
CONCLUSION:
The high prevalence of tuberculosis
(TB) in Malegaon is attributed to a mix of biological, environmental, social,
and healthcare system variables. TB primarily affects those aged 20 to 40, with
greater rates in men, low-income groups, and places with poor housing and low
literacy. It is exacerbated by restricted healthcare access, ineffective public
health campaigns, high HIV co-infection rates, and malnutrition. Addressing
this involves socioeconomic initiatives, improved housing and sanitation,
reinforced healthcare infrastructure, and targeted public health campaigns.
Nutritional support, integrated tuberculosis and HIV services, robust policies,
and community involvement are critical. A comprehensive approach that includes
these interventions is critical for lowering tuberculosis incidence and
improving public health outcomes in Malegaon.