scholarly journals Prevalence, incidence, and mortality of nontuberculous mycobacterial infection in Korea: a nationwide population-based study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Seon Cheol Park ◽  
Min Jin Kang ◽  
Chang Hoon Han ◽  
Sun Min Lee ◽  
Cheong Ju Kim ◽  
...  
2013 ◽  
Vol 88 (1) ◽  
pp. 38-45 ◽  
Author(s):  
Ashley B. Wentworth ◽  
Lisa A. Drage ◽  
Nancy L. Wengenack ◽  
John W. Wilson ◽  
Christine M. Lohse

2021 ◽  
Vol 9 (3) ◽  
pp. 144-152
Author(s):  
Salvatore Vaccarella ◽  
Joannie Lortet-Tieulent ◽  
Murielle Colombet ◽  
Louise Davies ◽  
Charles A Stiller ◽  
...  

2015 ◽  
Vol 73 (8) ◽  
pp. 648-654 ◽  
Author(s):  
Marcos C. Lange ◽  
Norberto L. Cabral ◽  
Carla H. C. Moro ◽  
Alexandre L. Longo ◽  
Anderson R. Gonçalves ◽  
...  

Aims To measure the incidence and mortality rates of ischemic stroke (IS) subtypes in Joinville, Brazil. Methods All first-ever IS patients that occurred in Joinville from January 2005 to December 2006 were identified. The IS subtypes were classified by the TOAST criteria, and the patients were followed-up for one year after IS onset. Results The age-adjusted incidence per 100,000 inhabitants was 26 (17-39) for large-artery atherosclerosis (LAA), 17 (11-27) for cardioembolic (CE), 29 (20-41) for small vessel occlusion (SVO), 2 (0.6-7) for stroke of other determined etiology (OTH) and 30 (20-43) for stroke of undetermined etiology (UND). The 1-year mortality rate per 100,000 inhabitants was 5 (2-11) for LAA, 6 (3-13) for CE, 1 (0.1-6) for SVO, 0.2 (0-0.9) for OTH and 9 (4-17) for UND. Conclusion In the population of Joinville, the incidences of IS subtypes were similar to those found in other populations. These findings highlight the importance of better detection and control of atherosclerotic risk factors.


2021 ◽  
Vol 27 (10) ◽  
pp. 2560-2569
Author(s):  
Keiju S.K. Kontula ◽  
Kirsi Skogberg ◽  
Jukka Ollgren ◽  
Asko Järvinen ◽  
Outi Lyytikäinen

2013 ◽  
Vol 144 (5) ◽  
pp. S-901 ◽  
Author(s):  
Matthew D. Sadler ◽  
Divine Tanyingoh ◽  
Robert P Myers ◽  
Paul L. Beck ◽  
Steven J. Heitman ◽  
...  

Author(s):  
Hyewon Lee ◽  
Woojae Myung ◽  
Eun-Mi Lee ◽  
Hyekyeong Kim ◽  
Byung Woo Jhun

Abstract Background Population-based studies on the mortality burden of nontuberculous mycobacteria (NTM) infection are lacking. We compared the long-term mortality of NTM-infected patients with tuberculosis (TB)-patients and the general population, and investigated mortality-associated factors. Methods We analyzed nationwide-data from the Korean National Health Insurance and Korea-Statistical Office between 2002 and 2017. NTM infection was identified using the International Classification of Disease, Tenth Revision code, with one-to-one matching to TB patients and general population controls. Results A total of 530 401 individuals were analyzed, including 183 267 with NTM infections; 166 666 with TB; and 180 468 controls. The overall 6-, 10-, and 14-year cumulative survival probabilities in the NTM group were 86.3%, 80.8%, and 77.1%, respectively, which were significantly lower than those of the TB or control groups (log-rank P < .0001). In cases of NTM and TB coinfection, the overall 6-, 10-, and 14-year cumulative survival probabilities were 75.1%, 65.4%, and 57.0%, respectively. Multivariable analysis indicated that old age, male gender, province, and various respiratory or nonrespiratory comorbidities were significantly associated with mortality of NTM infection. The use of a macrolide (more than 1 year) negatively correlated with mortality of NTM infection (adjusted hazard ratio [aHR] 0.61, 95% confidence interval [CI] .53–.71), regardless of azithromycin (aHR 0.60, 95% CI .43–.85) or clarithromycin use (aHR 0.63, 95% CI .53–.75). Conclusions NTM-infected patients had poor prognosis when compared to TB patients or the general population, especially for NTM and TB coinfection. NTM mortality was associated with certain demographic characteristics, but long-term use of macrolides may provide survival benefits.


2018 ◽  
Vol 144 ◽  
pp. S28-S34 ◽  
Author(s):  
Ji Eun Park ◽  
Young Sam Kim ◽  
Min Jin Kang ◽  
Cheong Ju Kim ◽  
Chang Hoon Han ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document