This study was conducted to evaluate treatment outcome, mortality, and predictors of both in patients with multidrug-resistant tuberculosis (MDR-TB) at 3 TB referral hospitals in the public sector of Korea. We included MDR-TB patients treated at 3 TB referral hospitals in 2004 and reviewed retrospectively their medical records and mortality data. Of 202 MDR-TB patients, 75 (37.1%) had treatment success and 127 (62.9%) poor outcomes. Default rate was high (37.1%, 75/202), comprising 59.1% of poor outcomes. Male sex (adjusted odds ratio [aOR], 2.91; 95% confidence interval [CI], 1.13-7.49), positive smear at treatment initiation (aOR, 5.50; 95% CI, 1.22-24.90), and extensively drug-resistant TB (aOR, 10.72; 95% CI, 1.23-93.64) were independent predictors of poor outcome. The all-cause mortality rate was 31.2% (63/202) during the 3-4 yr after treatment initiation. In conclusion, the treatment outcomes of patients with MDR-TB at the 3 TB hospitals are poor, which may reflect the current status of MDR-TB in the public sector of Korea. A more comprehensive program against MDR-TB needs to be integrated into the National Tuberculosis Program of Korea.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3012847PMC
http://dx.doi.org/10.3346/jkms.2011.26.1.33DOI Listing

Publication Analysis

Top Keywords

public sector
12
treatment outcome
8
outcome mortality
8
patients multidrug-resistant
8
multidrug-resistant tuberculosis
8
hospitals public
8
referral hospitals
8
sector korea
8
mdr-tb patients
8
poor outcomes
8

Similar Publications

With the rapid decline in the levelized cost, offshore wind power offers a new option for the clean energy transition of the power sector in China's coastal areas. Here, we develop a power system capacity expansion and operation optimization model to simulate the penetration of offshore wind power in China and quantify the associated health effects. We find that offshore wind power has great potential in mitigating the negative impacts of existing coal-fired power emissions.

View Article and Find Full Text PDF

Unlabelled: Many breast cancer survivors experience cancer-related fatigue (CRF), and several interventions to treat CRF are available. One way to tailor intervention advice is based on patient preferences. In this study, we explore preference heterogeneity regarding between-attribute and within-attribute preferences.

View Article and Find Full Text PDF

The older citizens represent a portion of the population that is not only already high but is also expected to increase according to trend analyses from major national and international research reports. The pandemic experience has shown how they feel the scarcity of relationships and the loneliness of their homes as factors that significantly impact the quality of their daily lives. This challenging historical moment has provided an opportunity to implement a series of projects specifically dedicated to those over 65, aiming to ensure a full range of possibilities for them, starting from highly "enabling" processes.

View Article and Find Full Text PDF

Objectives: To determine the perception of female community health volunteers (FCHVs) in terms of their scope of work, impact of work on their professional experiences and their coping strategies and stakeholders' perception of FCHVs programme, their contribution to the health sector and its sustainability.

Design: A qualitative study involving in-depth interviews (IDIs) with FCHVs and key informant interviews (KIIs) with local stakeholders. All the interviews were conducted through telephone.

View Article and Find Full Text PDF

Objective: To determine the involvement of males in antenatal care (ANC) follow-up and its determinants in Ethiopia.

Design: A systematic review and meta-analysis.

Data Sources: A systematic search was done on PubMed, African Journals Online, HINARI, ScienceDirect, Google Scholar and direct Google up to 20 November 2023.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!