Latent Tuberculosis Infection: Treatment Initiation and Completion Rates in Persons Seeking Immigration and Health Care Workers

Influencing Factors of Treatment Outcomes Among Patients with Pulmonary Tuberculosis: A Structural Equation Model Approach

BACKGROUND

Pulmonary tuberculosis (PTB) is a serious infectious disease, and the factors and pathways that influence final treatment outcomes are unclear. Here, we aimed to assess the factors that influence treatment outcomes in patients with PTB using a structural equation model.

METHODS

Participants completed a questionnaire covering demographics, understanding of PTB, psychological status, and history of medical treatment. Exploratory factor analysis and reliability testing were performed, and a structural equation model was constructed using the SPSS and Amos software.

RESULTS

A total of 251 participants were enrolled. Symptoms of depression were observed in 94.4% of participants, whereas 6% showed mild or greater anxiety. Through factor rotation, four common factors were extracted with a total variation of 66.15%. The structural equation model indicated that regular tuberculosis-related follow-up behaviour had a direct and positive effect on the final treatment outcome, with a path coefficient value of 0.20; the level of PTB understanding had a direct positive effect on the testing behaviour for PTB, with a path coefficient of 0.26; patients' psychological characteristics had a direct negative impact on regular testing behaviour, with a path coefficient of -0.13. The psychological characteristics and level of disease understanding of patients exerted indirect effects on the treatment outcome by affecting the way patients approached tuberculosis detection behaviour.

CONCLUSION

Interventions aimed at improving the treatment outcomes of patients with PTB should mainly focus on financial support and improvements in psychological status in addition to a greater understanding and knowledge of PTB. Furthermore, patients should be encouraged to undergo regular PTB testing during the follow up period, as this mediates the effect of other factors on treatment outcomes and also helps in achieving favourable treatment outcomes.

Outcomes of latent tuberculosis infection treatment in Istanbul

Background

and

Aim

Increasing the extensity of latent tuberculosis infection (LTBI) treatment which is one of the important parameters of tuberculosis (TB) control and completing the treatment in success are important. The purpose of this study is to evaluate LTBI treatment indications and treatment outcomes of patients who received LTBI treatment in İstanbul between 2016 and 2018.

Methods

The treatment outcomes of people who started LTBI treatment registered in TB dispensaries in Istanbul between 2016 and 2018 were analyzed retrospectively according to the variables of the age groups, gender, dispensary subgroups, and prevention treatment indications. Data collected from the health institutions were evaluated.

Results

26.920 patients received LTBI treatment in all Istanbul TB dispensaries between 2016 and 2018. The evaluation of LTBI treatment indications; contact 15.696, Tuberculin skin test (TST) positivity 2224, immunosuppression 8746, TST conversion 58, sequelae lesion 15, and other indications are identified as 181. The groups which diagnosed with TB disease, mortality, transfer, other, and still in treatment are excluded from the analysis of LTBI treatment outcomes. A total of 25.253 patients were analyzed. 65 percent of the patients had completed LTBI treatment. Variables effective for treatment outcomes are analyzed with logistic regression. Treatment discontinuation was statistically significantly lower in 2017 (odds ratio [OR]: 0.906 confidence interval [CI] [95%] [0.849-0.968]) and 2018 (OR: 0.635 CI [95%] [0.594-0.679]) compared to 2016. Treatment lost to follow-up was statistically significantly lower in those receiving LTBI treatment with the indication of tuberculin skin test positivity (OR: 0.541 CI [95%] [0.487-0.600]) and the indication of immunosuppression (OR: 0.284 CI [95%] [0.142-0.569]) compared to those who received LTBI treatment due to contact. When the treatment results are evaluated according to the TB incidence of the region where the dispensaries are located, treatment lost to follow-up was higher in 101-200 per 100,000 incidence group (OR: 1.201 CI [95%] [1.123-1.285]) and incidence of 201-370 per 100,000 (OR: 1.461 CI [95%] [1.358-1.572]). Treatment lost to follow-up was higher in dispensaries on the European side (OR: 1.293 CI [95%] [1.203-1389]) and the 0-35 age group (OR: 1.248 CI [95%] [1.168-1.333]).

Conclusion

In conclusion, the treatment completion rate should be improved for an effective LTBI treatment which is one of the important parameters of targeted TB elimination. Particularly people under the age of 35 years and regions with high-TB incidence should receive special care and close follow-up.

Pulmonary tuberculosis and diabetes mellitus: Clinical profile and outcomes

Background

India is endemic for Tuberculosis (TB), contributing to the world's highest number of active cases. Diabetes (DM), with its increasing burden in India, could contribute to adverse outcomes among patients with TB.

Methods

Consecutive patients with sputum smear positive pulmonary tuberculosis were included in the study. We defined cases as those patients with diabetes at recruitment. Controls were non diabetics (NDM). Sputum samples for AFB smears, AFB culture and Xpert PCR along with blood samples for glycosylated Haemoglobin and glucose levels were collected at recruitment and at 6 months from patients with sputum positive pulmonary TB. Blood glucose levels and sputum smears were repeated at 2 months and monthly till they tested negative. The primary outcome studied was mortality at 6 month follow-up. The secondary outcomes included the time to conversion of sputum smears and cure rates between cases and controls.

Results

We recruited 124 patients of which 68 were cases. Mortality after therapy was 15% in cases and 7% in controls, however, the difference was not statistically significant. Equal proportions in each group (Diabetics: 9% vs. NDM 9%) had persistent smear positivity at 2 months. There was no association between delayed sputum conversion and uncontrolled diabetes. Only about 57% of cases and 50% of controls were documented to have completed treatment or been cured. A significant reduction in HbA1c after 6 months of Antituberculous therapy was noted among the cases. [Mean difference - 1.76, P-value - 0.001, 95% CI of difference - (1.01 - 2.52)].

Conclusions

Diabetes did not have adverse outcomes in the form of increased mortality or delayed sputum conversion rates. The high proportion of loss to follow-up seems to be a trend of concern, which should be addressed emergently.

Modeling the Cost-Effectiveness of Latent Tuberculosis Screening and Treatment Strategies in Recent Migrants to a Low-Incidence Setting

Many tuberculosis (TB) cases in low-incidence settings are attributed to reactivation of latent TB infection (LTBI) acquired overseas. We assessed the cost-effectiveness of community-based LTBI screening and treatment strategies in recent migrants to a low-incidence setting (Australia). A decision-analytical Markov model was developed that cycled 1 migrant cohort (≥11-year-olds) annually over a lifetime from 2020. Postmigration/onshore and offshore (screening during visa application) strategies were compared with existing policy (chest x-ray during visa application). Outcomes included TB cases averted and discounted cost per quality-adjusted life-year (QALY) gained from a health-sector perspective. Most recent migrants are young adults and cost-effectiveness is limited by their relatively low LTBI prevalence, low TB mortality risks, and high emigration probability. Onshore strategies cost at least $203,188 (Australian) per QALY gained, preventing approximately 2.3%-7.0% of TB cases in the cohort. Offshore strategies (screening costs incurred by migrants) cost at least $13,907 per QALY gained, preventing 5.5%-16.9% of cases. Findings were most sensitive to the LTBI treatment quality-of-life decrement (further to severe adverse events); with a minimal decrement, all strategies caused more ill health than they prevented. Additional LTBI strategies in recent migrants could only marginally contribute to TB elimination and are unlikely to be cost-effective unless screening costs are borne by migrants and potential LTBI treatment quality-of-life decrements are ignored.

Tuberculosis Screening, Testing, and Treatment of US Health Care Personnel: ACOEM and NTCA Joint Task Force on Implementation of the 2019 MMWR Recommendations

: On May 17, 2019, the US Centers for Disease Control and Prevention and National Tuberculosis Controllers Association issued new Recommendations for Tuberculosis Screening, Testing, and Treatment of Health Care Personnel, United States, 2019, updating the health care personnel-related sections of the Guidelines for Preventing the Transmission of Mycobacterium tuberculosis in Health-Care Settings, 2005. This companion document offers the collective effort and experience of occupational health, infectious disease, and public health experts from major academic and public health institutions across the United States and expands on each section of the 2019 recommendations to provide clarifications, explanations, and considerations that go beyond the 2019 recommendations to answer questions that may arise and to offer strategies for implementation.

The effect of COVID-19 on global population and its fatality rate: Retrospective study by online database

Objective:

Coronavirus disease 2019 (COVID-19) is a current new virulent disease rising its transmission and fatality with each passing day in the worldwide population. COVID-19 is emerged as a respiratory infection and a suspicious origin of animals and transmission to human in Wuhan, China on December 2019. Later this, the virus was transmitted from person to person through droplets and contacts. The World Health Organization, Centers for Disease Control and Prevention, and the National Health Commission of the People’s Republic of China have taken immediate action to reduce transmission and fatality associated with COVID-19 as minimum as possible. However, action has failed to stop transmission of COVID-19 from China to other countries. Since there was no chain break of the virus, the chances are more to increase the case number and fatality. Hence, the study has been designed to perceive the current effect of COVID-19 on the global population and its fatality. The study also focused on review related to treatment for COVID-19.

Material and Methods:

Online database of epidemic disease COVID-19 cases number was collected from www.channelnewsasia.com on 7^th April 2020. This data was used to observe the past and present circumstances in the global population and its fatality. The effect of treatment on COVID-19 was reviewed from the few databases of clinical trials (antiviral and antibacterial drugs).

Results:

The online data are used to observe a significant increase ratio of COVID-19 cases and its fatality rate in worldwide as well as country wise. The COVID-19 cases are high in the United States (27.5%), whereas the fatality rate is high in Italy (12.47%). The prevalence of COVID-19 is expected to be reaching 4 million by the end of April 2020 and the fatality rate also might be reached high.

Conclusion:

We have come to the conclusion that the effect of COVID-19 on the global population is significantly increased and the fatality rate also elevated (2.48% to 5.52%). The hydroxychloroquine-azithromycin combination treatment has shown significant improvement in patients with COVID-19 compared to treat with other drugs.

Risk of Future Type 2 Diabetes Mellitus in Patients Developing Steroid-Induced Hyperglycemia During Hospitalization for Chronic Obstructive Pulmonary Disease Exacerbation

OBJECTIVE

We evaluated the future risk of developing impaired glucose tolerance and type 2 diabetes mellitus (T2DM) in patient without T2DM who develop hyperglycemia with short-term systemic glucocorticoid therapy during hospitalization.

METHODS

Retrospective analysis was performed on charts of non-diabetic patients admitted with COPD exacerbation and treated with a course of high dose systemic corticosteroid during hospitalization. Patients with BMI over 40 kg/m², endocrinopathy and on medications that could impair glucose tolerance were excluded. Patient data were collected for 1 year after initial hospitalization. Diagnosis of T2DM or IGT was based on the ADA criteria. 311 charts were reviewed, of which 64 patients met our inclusion criteria. Depending on the blood glucose readings during hospitalization, the patients were categorized into two groups: hyperglycemic (> 140 mg/dL; n = 42) and normoglycemic (≤ 140 mg/dL; n = 22).

RESULTS

In the hyperglycemic group, 17/42 (40%) patients developed prediabetes and 5/42 (12%) developed T2DM on follow-up. Interestingly, none of the patients developed IGT or T2DM in the normoglycemic group. Both the groups were well matched in terms of family history of DM, history of hypertension, hyperlipidemia, BMI > 25 kg/m², weight change, tobacco and alcohol use, corticosteroid therapy duration, and cumulative steroid dose. After adjusting for all these risk factors, on logistic regression analysis, hyperglycemic patients had 37 times higher chance of developing IGT, compared to normoglycemic patients (p = 0.003).

CONCLUSIONS

Our study suggests that patients without T2DM with acute exacerbation of COPD who develop steroid-induced hyperglycemia in response to systemic corticosteroid treatment have an increased risk for developing future IGT or T2DM. Bigger studies are needed to support our findings since results drawn from our study have the limitations of smaller sample size (wider confidence interval) in a single center.

Comprehensive update on current outbreak of novel coronavirus infection (2019-nCoV)

Recently, a new coronavirus disease (COVID-19) has emerged as a respiratory infection with significant concern for global public health hazards. With an initial suspicion of the animal to the human transmission for earlier cases, now the paradigm has shifted towards human to human transmission via droplets, contacts and/or through fomites. with each passing day, more and more confirmed cases are being reported worldwide which has alarmed the global authorities including World Health Organization (WHO), Centers for Disease Control and Prevention (CDC) and the National Health Commission of the People’s Republic of China to take immediate action in order to reduce the transmission and subsequent mortalities associated with COVID-19 to as minimum as possible. Unfortunately, like the previous Coronavirus outbreaks, there is no definite antiviral therapy for the treatment of confirmed cases and hence preventing ourselves from contracting 2019-nCoV is the best way to prevent it from becoming pandemic. Herein, we aim to discuss the latest updates on the origin, genomic characteristics, diagnosis, treatment options and current efforts being made by international health organizations with regards to the 2019-nCoV outbreak.