Incidence Of Pulmonary Tuberculosis Research Articles

The potential association between metabolic disorders and pulmonary tuberculosis: a Mendelian randomization study

BackgroundMetabolic disorders (MetDs) have been demonstrated to be closely linked to numerous diseases. However, the precise association between MetDs and pulmonary tuberculosis (PTB) remains poorly understood.MethodSummary statistics for exposure and outcomes from genome-wide association studies (GWASs) for exposures and outcomes were obtained from the BioBank Japan Project (BBJ) Gene–exposure dataset. The 14 clinical factors were categorized into three groups: metabolic laboratory markers, blood pressure, and the MetS diagnostic factors. The causal relationship between metabolic factors and PTB were analyzed using two-sample Mendelian Randomization (MR). Additionally, the direct effects on the risk of PTB were investigated through multivariable MR. The primary method employed was the inverse variance-weighted (IVW) model. The sensitivity of this MR analysis was evaluated using MR-Egger regression and the MR-PRESSO global test.ResultsAccording to the two-sample MR, HDL-C, HbA1c, TP, and DM were positively correlated with the incidence of active TB. According to the multivariable MR, HDL-C (IVW: OR 2.798, 95% CI 1.484–5.274, P = 0.001), LDL (IVW: OR 4.027, 95% CI 1.140–14.219, P = 0.03) and TG (IVW: OR 2.548, 95% CI 1.269–5.115, P = 0.009) were positively correlated with the occurrence of PTB. TC (OR 0.131, 95% CI 0.028–0.607, P = 0.009) was negatively correlated with the occurrence of PTB. We selected BMI, DM, HDL-C, SBP, and TG as the diagnostic factors for metabolic syndrome. DM (IVW, OR 1.219, 95% CI 1.040–1.429 P = 0.014) and HDL-C (IVW, OR 1.380, 95% CI 1.035–1.841, P = 0.028) were directly correlated with the occurrence of PTB.ConclusionsThis MR study demonstrated that metabolic disorders, mainly hyperglycemia, and dyslipidemia, are associated with the incidence of active pulmonary tuberculosis.

Exploring the Impact of Socioeconomic and Natural Factors on Pulmonary Tuberculosis Incidence in China (2013-2019) using Explainable Machine Learning: A Nationwide Study

Pulmonary tuberculosis (PTB) stands as a significant and prevalent infectious disease in China. Integrating 13 natural and socioeconomic factors, we conduct nine machine learning (ML) models alongside the Tree-Structured Parzen Estimator to predict the monthly PTB incidence rate from 2013 to 2019 in mainland China. With explainable ML techniques, our research highlights that population size, per capita GDP, and PM10 concentration emerge as the primary determinants influencing the PTB incidence rate. We delineate both the independent and interactive impacts of these factors on the PTB incidence rate. Furthermore, crucial thresholds associated with factors influencing the PTB incidence rate are identified. Taking factors that have a positive effect on reducing the incidence rate of PTB as an example, the thresholds at which the effects of factors PM2.5, PM10, O3, and RH on the incidence rate change from increase to decrease are 105.5 μg/m3, 75.5 μg/m3, 90.8 μg/m3, and 72.3% respectively. Our work will contribute valuable insights for public health interventions.

Spatial Analysis of Pulmonary Tuberculosis Incidence in Kupang City in 2019-2021

Abstract Introduction: Pulmonary tuberculosis has a fairly high number of cases in several regions of Indonesia, including Kupang City. In 2019, tuberculosis cases in Kupang City amounted to 667 cases, in 2020 it increased to 693 cases and in 2021 it decreased to 419 cases. This study aims to analyze the factors that influence the incidence of pulmonary tuberculosis which are studied in a spatial analysis model.Methods : This research is a quantitative research with an analytical observational design using an approach to Geographic Information Systems (GIS). This study aims to see the autocorrelation of population density, poor families, and healthy homes with the incidence of pulmonary tuberculosis and to see the pattern of relationships that are formed.The data used in this research is secondary data taken from related agencies. The samples in this study were 11 community health centers in Kupang City, namely Naioni Health Center, Alak Health Center, Manutapen Health Center, Sikumana Health Center, Penfui Health Center, Bakunase Health Center, Oebobo Health Center, Oepoi Health Center, Pasir Panjang Health Center, Kupang City Health Center, and Oesapa Community Health Center. Spatial analysis uses computer programs, namely the QGIS and GeoDa applications. QGIS was used to produce a map of the distribution of pulmonary tuberculosis cases in 11 health centers in Kupang City in 2019-2021 and the GeoDa application was used to see the pattern of TB distribution in Kupang City in 2019-2021, in general or globally through the LISA (Local Indicators Spatial Autocorrelation) tests.Results: Based on the results of the LISA (Local Indicators Spatial Autocorrelation) bivariate test, it shows that population density, poor families, and healthy housing coverage have no relationship with the incidence of TB in Kupang City (p-value > 0.05) and show a random pattern of case distribution (Morans Index ' I is smaller than E[I] = -0.1000). However, in 2019-2020, the Morans I Index value covering healthy homes was greater than E[I] = -0.1000, which shows a clustered pattern of case distribution.Conclusion: It was concluded that there was no positive spatial autocorrelation between population density, poor families, and healthy homes with the incidence of pulmonary tuberculosis in Kupang City in 2019-2021

Determinant of Pulmonary Tuberculosis in Outpatients at Daya Hospital, Makassar City

Indonesia ranks third with the highest number of TB patients in the world after India and China. Initial data collection conducted at Daya Kota Makassar Regional General Hospital revealed that Pulmonary Tuberculosis is among the top 10 diseases in both outpatient and inpatient cases. The incidence of Pulmonary TB in outpatient cases was 783 in 2019, 210 in 2020, and 238 in 2021. The objective of this research is to determine the determinants of pulmonary tuberculosis incidence in outpatient patients at Daya Kota Makassar Regional General Hospital. The research method employed is quantitative research with a cross-sectional design. The population for the study includes all outpatient patients in the Pulmonary Clinic of Daya Kota Makassar Regional General Hospital, totaling 142 individuals, with a subject of 49 subjekts selected using purposive sampling technique. Bivariate analysis uses Chi-square, and multivariate analysis employs logistic regression. The research results indicate a correlation between knowledge (p-value=0,004), smoking behavior (p-value=0,003), and nutritional status (p-value=0,019) with the incidence of Pulmonary Tuberculosis. However, there is no socio-economic relationship with Pulmonary Tuberculosis incidence (p-value=0,169) at Daya Kota Makassar Regional General Hospital. It is recommended that the community participate in the socialization activities for preventing the risk of Pulmonary Tuberculosis provided by health cadres to reduce the incidence of Pulmonary Tuberculosis.

THE RELATIONSHIP BETWEEN THE PHYSICAL CONDITION OF THE HOME ENVIRONMENT AND HISTORY OF DISEASE WITH THE INCIDENCE OF TUBERCULOSIS IN THE WORKING AREA OF THE RANGKASBITUNG HEALTH CENTER IN 2023

This study aims to determine the relationship between the physical condition of the home environment and history of disease with the incidence of tuberculosis or pulmonary tuberculosis in the work area of the Rangkasbitung Health Center in 2023. This study is a descriptive correlation study with cross sectional design, which is research that explores the relationship between the physical condition of the house and the behavior of residents towards the incidence of tuberculosis. The type of data used is primary data, from the results of questionnaires and secondary data obtained from recording and reporting TB patient visit data at the Rangkasbitung Health Center. Data analysis in the study, using univariate analysis with positive TB incidence results (69.2%); Bivariate analysis showed a relationship between home air circulation and the incidence of tuberculosis (P<0.028), occupancy density (P<0.011), lighting (P<0.015), humidity (P<0.020), education (P<0.002), employment (P<0.006), and smoking (P<0.009); and humidity factor being the dominant factor with the largest OR (OR=28.579). The results of the cross-sectional test in the study, showed a significant relationship between the physical condition of the home environment and the history of disease with the incidence of tuberculosis in the work area of the Rangkasbitung Health Center. Suggestions in this study are the need for education related to environmental factors and behaviors that cause tuberculosis, such as counseling about healthy homes with qualified ventilation, good lighting, good humidity, occupancy in an adequate place, and reducing cigarette use habits. Other factors that need to be improved, in order to support the reduction in TB prevalence rates, namely education and employment factors. Patients with pulmonary tuberculosis must also be given understanding, related must always be tried to be in a place that has adequate air ventilation and good humidity, in order to reduce the risk of the severity of TB disease which can lead to death or the duration of the treatment process.

Extra-pulmonary tuberculosis frequency and the risk factors influence (case of the PHE-Batna regional unit) (2017-2022)

Context: Tuberculosis is an infectious disease that is endemic in developing countries. The causal agent is Mycobacterium tuberculosis. Extra-pulmonary tuberculosis (EPTB) is receiving renewed attention due to an unexplained increase in its relative frequency. The aim of this study was to carry out a retrospective descriptive survey to assess the frequency of extra-pulmonary tuberculosis in an eastern Algeria population range. Methods: this study took place at the regional tuberculosis Batna’s Public hospitalian establishment unit; over a period of 64 months (2017-2022). 2405 files were studied through the collection of information recorded at laboratory level. Results: Out of 2405 samples, 102 were positive (4.24%). There was a clear predominance of females (64.70%) and males (35.29%), giving a sex ratio of 1.8. The age group most affected was 11 to 49. Pus was the most common specimen with a percentage of 44.12%, followed by urine (28.43%), CSF (14.70%). The incidence of extra pulmonary tuberculosis in patients in Batna’s Department and neighbouring Departments is 4.24%, with adult women being the most affected. Conclusion: Extrapulmonary tuberculosis is common and should not be neglected; it is no longer a pathology of the past but still remains relevant today.

Risk Factors For The Incidence Of Pulmonary Tuberculosis At Elly Uyo Health Center

Risk Factors For The Incidence Of Pulmonary Tuberculosis At Elly Uyo Health Center

Factors Related to the Incident of Pulmonary Tuberculosis in the Working Area of the Tarok Health Center Payakumbuh Citi West Sumatra Province 2023

Tuberculosis is a disease caused by the bacteria Mycobacterium tuberculosis. Tarok Health Center has the highest incidence rate of pulmonary TB in Payakumbuh City in 2022. In 2019 the CNR of TB cases was 178 per 100,000 populations. In 2020, the number of CNR TB cases was 112 per 100,000 populations. The CNR of TB in 2021 was 122 per 100,000 populations, in 2022 the CNR of TB cases will be 56 cases with a CNR of 284 per 100,000 populations. This research uses quantitative methods with case control methodology. The total sample was 88 samples; the research was carried out from September to October 2023 with analysis using the chi-square statistical test. This research shows that there is a relationship between ventilation area (0.005), humidity (0.031), temperature (0.029) and contact history (0.017) with the incidence of pulmonary TB in the working area of the Tarok Health Center, Payakumbuh City, then no relationship was found between floor type (=1) and residential density (0.052) and the incidence of pulmonary TB in the working area of the Tarok Health Center, Payakumbuh City.

Vitamin D Status, VDR, and TLR Polymorphisms and Pulmonary Tuberculosis Epidemiology in Kazakhstan.

Tuberculosis (TB) and vitamin D deficiency remain major public health problems in Kazakhstan. Due to the high incidence of pulmonary tuberculosis in the country and based on the importance of vitamin D in the modulation of the immune response and the association of its deficiency with many health conditions, the aim of our research was to study the vitamin D status, VDR and TLR gene polymorphisms, and pulmonary tuberculosis epidemiology in Kazakhstan. A case-control study included 411 individuals diagnosed with pulmonary TB and 686 controls with no family history of pulmonary tuberculosis. Concentrations of serum vitamin D (25-(OH)D) levels were measured by electrochemiluminescence immunoassay. The gene polymorphisms were determined by real-time polymerase chain reaction (PCR) allelic discrimination assay using TaqMan probes. The association between the risk of pulmonary TB and polymorphisms was evaluated using multimodal logistic regression and assessed with the ORs, corresponding to 95% Cis, and the significance level was determined as p < 0.05. 1097 individuals were recruited from 3 different regions of Kazakhstan. Biochemical data showed vitamin D deficiency (25-(OH)D < 20 ng/mL) was present in both groups, with the case group accounting for almost 95% and 43.7% in controls. Epidemiological data revealed that socioeconomic factors such as BMI < 25 kg/m2 (p < 0.001), employment (p < 0.001), diabetes (p < 0.001), and vitamin D deficiency (p < 0.001) were statistically different between case and control groups. Logistic regression analysis, adjusted by sex, age, BMI, residence, employment, smoking, alcohol consumption, and diabetes, showed that T/T polymorphism of the VDR gene (rs1544410, OR = 1.97, 95% CI: 1.04-3.72, p = 0.03) and A/A polymorphism of the TLR8 gene (rs3764880, OR = 2.44, 95% CI: 1.20-4.98, p = 0.01) were associated with a high risk of developing pulmonary tuberculosis. Vitamin D deficiency remains prevalent in our study cohort and is associated with TB progression. Socioeconomic determinants such as unemployment, BMI under 25 kg/m2, and diabetes are the main risk factors for the development of pulmonary TB in our study. A/A polymorphism of TLR8 (rs3764880) and T/T polymorphism (BsmI, rs1544410) of VDR genes may act as biomarkers for pulmonary tuberculosis in the Kazakh population.

Pulmonary Tuberculosis in Breast Cancer Patients

Background ● The Population with malignancy is growing worldwide. ● TB remains most common infectious disease worldwide that leads to high mortality. ● The relationship between TB and cancer is of dual nature. Patients with malignant diseases are at increased risk for diseases caused by mycobacteria. Patients with depressed cellular immunity such as those who have cancer, transplant patients and patients on immunosuppressive therapy are at particular risk. ● The risk of TB in patients with malignancy is due to immunosuppression from the cancer itself or from the chemotherapy. ● The incidence of pulmonary TB has been therefore reportedly increasing in patients with cancer in both pulmonary and non pulmonary cancers. ● The incidence of TB in cancer patients is also increasing annually from 3% to 23 % in 2022. ● Patients with diabetes, HIV, and cancer patients and persons on corticosteroid frequently present with lower zone tuberculosis. ● It affects females more commonly as compared to males and tuberculosis should be looked in females with lower lung field lesions. ● Cough is the most frequent presentation of lower zone TB as compared to upper zone TB. ● In immunocompromised patients, isolated lower lung field were involved in almost 23.3% patients.

Pulmonary Tuberculosis Incidence among Interferon-Gamma Release Assay-Positive Individuals with Latent Tuberculosis Infection and Fibrotic Lesions in a Vulnerable Urban Population in Osaka City, Japan, 2015-2021.

Latent tuberculosis infection (LTBI) with fibrotic lesions (FL) can progress to active tuberculosis (TB). Most previous studies have used tuberculin skin tests, which have lower specificity than interferon-gamma release assays (IGRAs), for LTBI diagnosis. This study evaluated the incidence of active TB among individuals with LTBI (diagnosed using IGRAs) and FL in Nishinari District, Osaka City. In total, 54 men (mean age: 68.7 years) were enrolled, of whom 10 (18.5%) were homeless, and 36 (66.7%) were welfare recipients. The median observation period was 1,084 days (range: 64-2,907 days). The incidence rate of active TB among individuals with LTBI and FL was 1.18 (95% confidence interval: 0.32-4.29) cases per 100 person-years. Among the 19 participants who had not been treated with anti-TB therapy, one (5.3%) progressed to active TB, and among the 30 participants who had completed anti-TB treatment, one (3.3%) progressed to active TB. The other 5 participants did not have TB. This study revealed the incidence of active TB among individuals with LTBI, diagnosed using IGRAs, and FL in a vulnerable urban population. The higher incidence than that reported in previous studies reinforces the importance of improved LTBI management strategies, including chest radiography screening, and LTBI treatment.

Comorbidity increases the risk of pulmonary tuberculosis: a nested case-control study using multi-source big data

BackgroundSome medical conditions may increase the risk of developing pulmonary tuberculosis (PTB); however, no systematic study on PTB-associated comorbidities and comorbidity clusters has been undertaken.MethodsA nested case-control study was conducted from 2013 to 2017 using multi-source big data. We defined cases as patients with incident PTB, and we matched each case with four event-free controls using propensity score matching (PSM). Comorbidities diagnosed prior to PTB were defined with the International Classification of Diseases-10 (ICD-10). The longitudinal relationships between multimorbidity burden and PTB were analyzed using a generalized estimating equation. The associations between PTB and 30 comorbidities were examined using conditional logistic regression, and the comorbidity clusters were identified using network analysis.ResultsA total of 4265 cases and 17,060 controls were enrolled during the study period. A total of 849 (19.91%) cases and 1141 (6.69%) controls were multimorbid before the index date. Having 1, 2, and ≥ 3 comorbidities was associated with an increased risk of PTB (aOR 2.85–5.16). Fourteen out of thirty comorbidities were significantly associated with PTB (aOR 1.28–7.27), and the associations differed by sex and age. Network analysis identified three major clusters, mainly in the respiratory, circulatory, and endocrine/metabolic systems, in PTB cases.ConclusionsCertain comorbidities involving multiple systems may significantly increase the risk of PTB. Enhanced awareness and surveillance of comorbidity are warranted to ensure early prevention and timely control of PTB.

Interaction between air pollutants and meteorological factors on pulmonary tuberculosis in northwest China: A case study of eight districts in Urumqi.

Meteorological factors and air pollutants are associated with the spread of pulmonary tuberculosis (PTB), but few studies have examined the effects of their interactions on PTB. Therefore, this study investigated the impact of meteorological factors and air pollutants and their interactions on the risk of PTB in Urumqi, a city with a high prevalence of PTB and a high level of air pollution. The number of new PTB cases in eight districts of Urumqi from 2014 to 2019 was collected, along with data on meteorological factors and air pollutants for the same period. A generalized additive model was applied to explore the effects of meteorological factors and air pollutants and their interactions on the risk of PTB incidence. Segmented linear regression was used to estimate the nonlinear characteristics of the impact of meteorological factors on PTB. During 2014-2019, a total of 14,402 new cases of PTB were reported in eight districts, with March to May being the months of high PTB incidence. The exposure-response curves for temperature (Temp), relative humidity (RH), wind speed (WS), air pressure (AP), and diurnal temperature difference (DTR) were generally inverted "U" shaped, with the corresponding threshold values of - 5.411 °C, 52.118%, 3.513m/s, 1021.625hPa, and 8.161 °C, respectively. The effects of air pollutants on PTB were linear and lagged. All air pollutants were positively associated with PTB, except for O3, which was not associated with PTB, and the ER values for the effects on PTB were as follows: 0.931 (0.255, 1.612) for PM2.5, 1.028 (0.301, 1.760) for PM10, 5.061 (0.387, 9.952) for SO2, 2.830 (0.512, 5.200) for NO2, and 5.789 (1.508, 10.251) for CO. Meteorological factors and air pollutants have an interactive effect on PTB. The risk of PTB incidence was higher when in high Temp-high air pollutant, high RH-high air pollutant, high WS-high air pollutant, lowAP-high air pollutant, and high DTR-high air pollutant. In conclusion, both meteorological and pollutant factors had an influence on PTB, and the influence on PTB may have an interaction.

Factors affecting the incidence of pulmonary tuberculosis based on the GTWR model in China, 2004-2021.

Contra-posing panel data on the incidence of pulmonary tuberculosis (PTB) at the provincial level in China through the years of 2004-2021 and introducing a geographically and temporally weighted regression (GTWR) model were used to explore the effect of various factors on the incidence of PTB from the perspective of spatial heterogeneity. The principal component analysis (PCA) was used to extract the main information from twenty-two indexes under six macro-factors. The main influencing factors were determined by the Spearman correlation and multi-collinearity tests. After fitting different models, the GTWR model was used to analyse and obtain the distribution changes of regression coefficients. Six macro-factors and incidence of PTB were both correlated, and there was no collinearity between the variables. The fitting effect of the GTWR model was better than ordinary least-squares (OLS) and geographically weighted regression (GWR) models. The incidence of PTB in China was mainly affected by six macro-factors, namely medicine and health, transportation, environment, economy, disease, and educational quality. The influence degree showed an unbalanced trend in the spatial and temporal distribution.

Pulmonary tuberculosis epidemiology and genetics in Kazakhstan.

Tuberculosis (TB) is a major public health emergency in many countries, including Kazakhstan. Despite the decline in the incidence rate and having one of the highest treatment effectiveness in the world, the incidence rate of TB remains high in Kazakhstan. Social and environmental factors along with host genetics contribute to pulmonary tuberculosis (PTB) incidence. Due to the high incidence rate of TB in Kazakhstan, our research aimed to study the epidemiology and genetics of PTB in Kazakhstan. 1,555 participants were recruited to the case-control study. The epidemiology data was taken during an interview. Polymorphisms of selected genes were determined by real-time PCR using pre-designed TaqMan probes. Epidemiological risk factors like diabetes (χ2 = 57.71, p < 0.001), unemployment (χ2 = 81.1, p < 0.001), and underweight-ranged BMI (<18.49, χ2 = 206.39, p < 0.001) were significantly associated with PTB. VDR FokI (rs2228570) and VDR BsmI (rs1544410) polymorphisms were associated with an increased risk of PTB. A/A genotype of the TLR8 gene (rs3764880) showed a significant association with an increased risk of PTB in Asians and Asian males. The G allele of the rs2278589 polymorphism of the MARCO gene increases PTB susceptibility in Asians and Asian females. VDR BsmI (rs1544410) polymorphism was significantly associated with PTB in Asian females. A significant association between VDR ApaI polymorphism and PTB susceptibility in the Caucasian population of Kazakhstan was found. This is the first study that evaluated the epidemiology and genetics of PTB in Kazakhstan on a relatively large cohort. Social and environmental risk factors play a crucial role in TB incidence in Kazakhstan. Underweight BMI (<18.49 kg/m2), diabetes, and unemployment showed a statistically significant association with PTB in our study group. FokI (rs2228570) and BsmI (rs1544410) polymorphisms of the VDR gene can be used as possible biomarkers of PTB in Asian males. rs2278589 polymorphism of the MARCO gene may act as a potential biomarker of PTB in Kazakhs. BsmI polymorphism of the VDR gene and rs2278589 polymorphism of the MARCO gene can be used as possible biomarkers of PTB risk in Asian females as well as VDR ApaI polymorphism in Caucasians.

The short-term effect of air pollution on the incidence of pulmonary tuberculosis in Chongqing, China, 2014-2020.

Tuberculosis (TB) is one of the top ten causes of death in the world. The purpose of this study was to explore the relationship between the short-term exposure to air pollutants and the risk of pulmonary TB in Chongqing. A distributed lag nonlinear model was used to explore the effect of short-term exposure to air pollutants on the risk of pulmonary TB. Stratified analysis was used to explore the impact of gender and age on the risk of pulmonary TB. There were 170,934 confirmed cases of pulmonary TB in Chongqing from January 1st, 2014 to December 30th, 2020. There was a positive correlation between the exposure to particulate matter with aerodynamic diameter less than 2.5 µm (PM2.5), particulate matter with aerodynamic diameter less than 10 µm (PM10) ozone (O3) and the incidence risk of TB. The maximum lag-specific relative risk (RR) of pulmonary TB was 1.012 (95% CI: 1.001-1.023, 14 days delay) for each 10 μg/m3 increase in PM2.5; 1.010 (95% CI: 1.003-1.017, 14 days delay) for each 10μg/m3 increase in PM10; and 1.002 (95% CI:1.000-1.004, 2 days delay) for each 10 mg/m3 increase in O3. Stratified analysis showed that the exposure effects of PM2.5, PM10 and O3 were different between different genders and age. This study suggested that exposure to PM2.5, PM10, and O3 was associated with the risk of pulmonary TB, and the risk was higher for males than females, while the exposure to PM2.5 and PM10 was riskier for people aged 15-60 years.

Trends and Projection of the Incidence of Active Pulmonary Tuberculosis in Southwestern China: Age-Period-Cohort Analysis.

The control of pulmonary tuberculosis (PTB) is critical for achieving the vision of World Health Organization's End TB goal. This study analyzes the temporal trends in PTB incidence associated with age, period, and birth cohorts from 2006 to 2020 in Yunnan, China; projects the PTB burden till 2030; and explores the drivers of PTB incidence. The aggregated PTB incidence rates between 2005 and 2020 were obtained from the National Notifiable Disease Reporting System. We used the age-period-cohort model to evaluate the age, period, and cohort effects on PTB incidence. We applied the Bayesian age-period-cohort model to project future PTB incidence from 2021 to 2030. We applied the decomposition algorithm to attribute the incidence trends to population aging, population growth, and age-specific changes from 2006 to 2030. From 2006 to 2020, the PTB incidence in Yunnan was relatively stable, although the absolute number showed an increase. The net drift was -1.56% (95% CI -2.41% to -0.70%). An M-shaped bimodal local drift and a longitudinal age curve were observed. The overall local drift was below zero for most age groups except for the age groups of 15-19 years (2.37%, 95% CI -0.28% to 5.09%) and 50-54 years (0.41%, 95% CI -1.78% to 2.64%). The highest risk of PTB incidence was observed in the age group of 65-69 years, and another peak was observed in the age group of 20-24 years. Downward trends were observed for both period and cohort effects, but the cohort effect trends were uneven. A higher risk was observed for the birth cohorts of 1961-1970 (rate ratio [RR]1961-1965=1.10, 95% CI 0.88-1.38; RR1966-1970=1.11, 95% CI 0.92-1.37) and 2001-2010 (RR2001-2005=0.92, 95% CI 0.63-1.34; RR2006-2010=0.84, 95% CI 0.45-1.58) than for the adjacent cohorts. The Bayesian age-period-cohort model projected that PTB incidence will continually increase from 2021 to 2030 and that PTB incidence in 2030 will be 2.28 times higher than that in 2006. The age-specific change was the leading cause for the growing PTB disease burden. Although there are several levels and measures for PTB control, the disease burden is likely to increase in the future. To bridge the gap of TB-free vision, our study suggests that public health policies be put in place soon, including large-scale active case-finding, priority prevention policies for high-risk older adult and young adult populations, and reduction of possible grandparent-grandchildren transmission patterns.

Literature Study: Risk Factors for Tuberculosis in Children

Tuberculosis (TB) is one of the most deadly diseases in the world. Every day nearly 4,400 people lose their lives due to tuberculosis and nearly 300,000 people fall ill due to this disease. The aim of this research is to find out what factors influence the incidence of tuberculosis in children. The method used in this research is literature review. The results show that risk factors that influence the incidence of pulmonary tuberculosis in children include parental knowledge, nutritional status, BCG immunization status, history of contact with sufferers, exposure to cigarette smoke and residential density

OVERVIEW OF CHEST RADIOGRAPH AND CLINICAL SYMPTOMS OF PEDIATRIC PULMONARY TUBERCULOSIS PATIENT IN PROF. DR. I.G.N.G NGOERAH HOSPITAL JANUARY 2021 – JUNE 2022

Tuberculosis (TB) is an infectious disease whose incidence is still quite high in Indonesia. The increasing incidence of pediatric pulmonary TB is still happening today. The diagnosis of pediatric pulmonary TB is still a hot topic because the chest radiograph and clinical symptoms are not typical and are often found in other diseases. The aim of the research is to know the overview of chest radiograph and clinical symptoms of pediatric pulmonary TB patients. This research was conducted at Prof. RSUP. Dr. I.G.N.G Ngoerah January 2021 – June 2022 using a cross-sectional descriptive method and medical record data as source with total sample is 30 people. Univariate analysis was performed using the Statistical Package for the Social Science (SPSS) version 26.0 for MacOS. The results of the study are majority of pediatric pulmonary TB patients at RSUP Prof. Dr. I.G.N.G Ngoerah January 2021 – June 2022 is female (60%), age group 11-16 years (50%), abnormal chest radiograph (96.7%), asymptomatic (63.3%), lymphadenopathy of hilar/paratracheal lymph nodes with/without parenchymal consolidation (96.7%), cough symptoms (30%). Children with pulmonary TB at RSUP Prof. Dr. I.G.N.G Ngoerah January 2021 – June 2022 is dominated by female gender, age group 11-16 years, abnormal chest radiograph, asymptomatic, lymphadenopathy of hilar/paratracheal lymph nodes with/without parenchymal consolidation and symptoms of cough.

Relationship Between Clean Water Sources, Waste Management, and Availability of Healthy Latrines with the Incidence of Pulmonary TB in Marginal Community

Pulmonary TB is a disease that can attack anyone because the source of this disease is very broad, especially in the environmental aspect. These environmental aspects include rubbish, clean water sources, and healthy latrines. The incidence of pulmonary TB in the Minasatene Community Health Center working area is still found. This research aims to determine the relationship between waste management, availability of latrines, and clean water sources with the incidence of pulmonary TB in Minasatene District, Pangkajene Islands Regency. This type of research is a quantitative analytical survey with a cross-sectional study design. The sampling technique used in this research was a simple random technique (Simple Random Sampling) with a sample size of 163 respondents. The results of the research are that there is a relationship between waste management and the incidence of diarrhea with a value of p = 0.006, there is a relationship between clean water sources and the incidence of diarrhea with a value of p = 0.000, there is a relationship between the availability of healthy latrines and the incidence of diarrhea with a value of p = 0.000, there is a need to manage community waste through counseling or outreach organized by the government or private sector.