Literature DB >> 32606817

Epidemic Trends of Tuberculosis in China from 1990 to 2017: Evidence from the Global Burden of Disease Study.

Cheng Ding1, Shuting Wang1, Yanwan Shangguan1, Xuewen Feng1, Wanru Guo1, Pei Shi1, Zhongkang Ji1, Kaijin Xu1.   

Abstract

PURPOSE: Tuberculosis remains a major public health problem globally, especially in undeveloped countries. This study aimed to evaluate and review the long-term epidemic trends of tuberculosis in China.
METHODS: Data were extracted from the Global Health Data Exchange. Metrics (prevalence, incidence and mortality) and Joinpoint regression were used to identify the epidemic trends.
RESULTS: From 1990 to 2017, decreasing trends in prevalence (average annual percent change, AAPC: -0.5%, 95% CI: -0.6% to -0.5%), incidence (-3.2%, 95% CI: -3.5% to -2.9%), and mortality (-5.7%, 95% CI: -6.2% to -5.3%) of tuberculosis were observed. The incidence and mortality of multidrug-resistant tuberculosis (MDR-TB) decreased with AAPC of -2.3% (-3.1% to -1.4%) and -4.9% (-5.4% to -4.5%), respectively, while the prevalence increased with an AAPC of 1.2% (0.3% to 2.0%). The burden of extensively drug-resistant tuberculosis (XDR-TB) increased with an AAPC of 12.5% (11.9% to 13.2%) in prevalence, 7.6% (6.5% to 8.7%) in incidence, and 4.5% (3.6% to 5.4%) in mortality. The disease burden of tuberculosis increased with age and peaked among those aged over 70.
CONCLUSION: The epidemic of tuberculosis decreased in China, while the disease burden was still challenging to control. MDR-TB and XDR-TB should be emphasized along with the epidemic. It will certainly be a difficult task to achieve the post-2015 global targets by 2025 and 2035.
© 2020 Ding et al.

Entities:  

Keywords:  China; drug-resistant; epidemic; tuberculosis

Year:  2020        PMID: 32606817      PMCID: PMC7293403          DOI: 10.2147/IDR.S249698

Source DB:  PubMed          Journal:  Infect Drug Resist        ISSN: 1178-6973            Impact factor:   4.003


Introduction

Tuberculosis (TB) is mainly caused by acid-fast bacillus bacteria (Mycobacterium tuberculosis, MTB), and human beings are the only reservoir. TB is spread from person to person through the air and occurs all around the world.1 As of 2018, the WHO estimated that 10.0 (range: 9.0–11.1) million people fell ill with TB, and the reported number has been relatively stable in recent years.2 Worldwide, TB caused 1.5 (range: 1.4–1.6) million deaths in 2018,1,2 and 1.6 (range: 1.5–1.7) million deaths in 2017.3 Although TB is curable, it is still listed as one of the top ten causes of death, and the “end” of TB remains a distant reality.2 The severity of TB epidemics varies widely. China was one of 30 high-TB-burden countries, accounting for 9% of the cases and ranked behind India (27%) in 2018. Furthermore, India (27%), China (14%), and the Russian Federation (9%) accounted for almost half of the world’s cases of multidrug-resistant TB (MDR-TB) or rifampicin-resistant TB (RR-TB). Approximately 6.2–10% of MDR-TB cases were estimated to have been extensively drug-resistant TB (XDR-TB) or beyond XDR-TB (completely drug resistant).2–4 The phenomenon of MDR-TB emerged as a clinical entity in the early 1990s after a couple of decades of widespread use of rifampin. XDR-TB is more expensive to treat and outcomes are poor, particularly among patients who are human immunodeficiency virus (HIV) positive.5 In China, the prevalence of smear-positive TB and TB-related mortality fell by 63% and 80% between 1990 and 2010, respectively – one of the most rapid declines in TB morbidity and mortality.6 These improvements were largely attributed to the nationwide scale-up of a TB control program using short courses of directly observed treatments (DOTs) that were implemented by the Chinese Center for Disease Control and Prevention. Despite the progress achieved in TB control, China is still facing a serious epidemic of TB and drug-resistant TB (including MDR-TB and XDR-TB). A national survey indicated that there were approximately 110,000 new MDR-TB cases (5.7% of the total TB diagnoses), while the prevalence of MDR-TB among those people who had previously been treated were 25.6% in 2007.7 The estimated median proportion of MDR among new and previously treated cases was 5.4% and 28.5%, respectively, which led to an estimated 121,600 MDR-TB cases in 2012.8 The WHO estimated that there were 866,000 new TB cases (incidence: 61 per 100,000) in 2018 in China.2,9 Additionally, 7.1% (95% CI: 5.6% to 8.7%) of the new TB cases were MDR-TB/RR-TB cases, which accounted for 21% of the previously treated cases in China.2 A world free of TB is the vision of the post-2015 global tuberculosis strategy. The key targets are a 75% reduction in deaths (compared with 2015) and a 50% reduction in incidence rate (less than 55 per 100,000 population) in 2025 and a 95% reduction in deaths and a 90% reduction in incidence rate (less than 10 per 100,000 population) in 2035.10 It is unclear whether the high-burden countries with high TB epidemics and numerous MDR-TB cases, such as China, can achieve these targets. China released the 13th five-year plan for TB control in 2017 and set the phase goal for 2020 (a continued decline in the number of new TB cases and deaths, a continued decrease in the incidence to less than 58 per 100,000, and a 20% decrease in the incidence in high-burden areas compared with the 2015 level).11 Although the WHO has published reports annually since 1997 and TB is a notifiable infectious disease in China, the trend analysis with other resources of evidence is important and required for epidemic control. This study aimed to systematically summarize the epidemic trends of TB in China, including MDR-TB and XDR-TB, over a long period from 1990 to 2017. Additionally, this study aimed to provide clues and related interventions to assist policy-makers in reducing the disease burden of TB in China.

Materials and Methods

Study Design

The Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017) included a comprehensive assessment of the prevalence, incidence, risk factors and years lived with disability for 354 causes from 1990 to 2017 worldwide.12 Multiple and updated sources were integrated by the GBD 2017, including body of literature studies, survey data, surveillance data, inpatient admission records, outpatient visit records, and health insurance claims. The Bayesian meta-regression tool DisMod-MR 2.1 was used as the main method for estimation. Detailed information about data resources, definitions, statistical modeling, and efforts to improve the quality of data has been addressed.12–14 Data were extracted using the Global Health Data Exchange (GHDx).14 The variables of year, age, sex, and cause were included. Prevalence, incidence, and mortality were used as the primary metrics to assess the impacts of TB among the population. TB was divided into three different phenotypes, namely, drug-susceptible TB (DS-TB), MDR-TB (TB that does not respond to at least the two most powerful anti-TB drugs, isoniazid and rifampicin, except for extensive drug resistance), and XDR-TB (a serious form of MDR-TB with additional resistance to the most effective second-line anti-TB drugs).1 The population ages were divided into four groups (0–14 years, 15–49 years, 50–69 years, and 70+ years). Rates of prevalence, incidence and mortality for the different types of TB were calculated based on the estimated values (cases and population) by the GBD 2017. The age-standardized rates (ARs) for each metric were also adjusted by the world standardized population.15 The mortality incidence (MI) ratio was calculated and used to indicate the severity of disease and the efficacies of clinical treatment and management. Ethical approval was not obtained since the data included in this study were de-identified and publicly available.

Statistical Analysis

The average annual percent change (AAPC), annual percent change (APC) and their 95% confidence intervals (95% CIs) were used to evaluate the trends of disease burden, which were calculated by the Joinpoint Regression Program (Version 4.7.0.0. February 2019). Origin 2017 software (Microcal Software Inc., Northampton, MA, USA) was used to draw the figures. The significance level of the hypothesis tests was set at 0.05.

Results

The number of TB cases in China were 2,236,793 (prevalence: 186.87/100,000, AR: 213.26/100,000) in 1990 and 2,271,695 (prevalence: 160.83/100,000, AR: 136.93/100,000) in 2017. From 1990 to 2017, the number of new cases decreased from 1,697,658 (incidence: 141.83/100,000, AR: 147.62/100,000) to 830,969 (incidence: 58.83/100,000, AR: 54.14/100,000). The number of TB deaths decreased from 165,385 (13.82/100,000, AR: 17.15/100,000) to 39,279 (2.78/100,000, AR: 2.17/100,000) (Figure 1). There were reverse time points between crude and ARs in all metrics among the four types of TB, and these points occurred in approximately 2002 for prevalence, 2001 for incidence, and 2004 for mortality. Before these points, the crude rates were higher than the ARs, and the situations were all reversed after these reserve time points (Figure 1).
Figure 1

Trends of prevalence, incidence, and mortality by different types of tuberculosis in China, 1990–2017. (A) Tuberculosis; (B) drug-susceptible tuberculosis; (C) extensively drug-resistant; (D) multidrug-resistant tuberculosis.

Trends of prevalence, incidence, and mortality by different types of tuberculosis in China, 1990–2017. (A) Tuberculosis; (B) drug-susceptible tuberculosis; (C) extensively drug-resistant; (D) multidrug-resistant tuberculosis. Decreasing trends in prevalence (AAPC: −0.5%, 95% CI: −0.6% to −0.5%), incidence (AAPC: −3.2%, 95% CI: −3.5% to −2.9%), and mortality (AAPC: −5.7%, 95% CI: −6.2% to −5.3%) of TB were observed. The largest decline in the prevalence rate was between 2000 and 2005 (APC: −3.1%, 95% CI: −3.3% to −2.9%), the largest decline in the incidence rate was between 2006 and 2010 (APC: −7.9%, 95% CI: −8.8% to −6.9%), and the largest decline in the mortality rate was between 2004 and 2007 (APC: −11.1%, 95% CI: −14.1% to −7.9%) (Table 1).
Table 1

The Epidemic Trends of Tuberculosis in China, 1990–2017

TypeMetricIndexPeriodValue and 95% CIP value
TuberculosisPrevalenceAPC1990–1994−1.6 (−1.8, −1.4)<0.05
1994–20000.8 (0.6, 0.9)<0.05
2000–2005−3.1 (−3.3, −2.9)<0.05
2005–20102.2 (2.0, 2.5)<0.05
2010–2014−0.1 (−0.4, 0.2)>0.05
2014–2017−2.4 (−2.7, −2.1)<0.05
AAPC1990–2017−0.5 (−0.6, −0.5)<0.05
IncidenceAPC1990–19921.2 (−0.4, 2.9)>0.05
1992–1995−0.5 (−2.0, 1.2)>0.05
1995–2006−3.4 (−3.5, −3.2)<0.05
2006–2010−7.9 (−8.8, −6.9)<0.05
2010–2014−3.4 (−4.5, −2.3)<0.05
2014–2017−1.7 (−2.8, −0.5)<0.05
AAPC1990–2017−3.2 (−3.5, −2.9)<0.05
MortalityAPC1990–1992−2.8 (−4.9, −0.6)<0.05
1992–2004−6.3 (−6.4, −6.1)<0.05
2004–2007−11.1 (−14.1, −7.9)<0.05
2007–2013−5.4 (−6.2, −4.5)<0.05
2013–2017−1.9 (−3.3, −0.4)<0.05
AAPC1990–2017−5.7 (−6.2, −5.3)<0.05
Drug-susceptible tuberculosisPrevalenceAPC1990–1994−3.2 (−3.5, −3.0)<0.05
1994–20010.3 (0.2, 0.5)<0.05
2001–2005−3.3 (−3.7, −3.0)<0.05
2005–20103.0 (2.7, 3.2)<0.05
2010–20140.1 (−0.2, 0.4)>0.05
2014–2017−2.3 (−2.6, −1.9)<0.05
AAPC1990–2017−0.6 (−0.7, −0.5)<0.05
IncidenceAPC1990–1996−1.7 (−1.8, −1.6)<0.05
1996–1999−4.1 (−4.6, −3.5)<0.05
1999–2006−2.8 (−2.9, −2.7)<0.05
2006–2010−7.3 (−7.6, −7.0)<0.05
2010–2014−3 (−3.4, −2.7)<0.05
2014–2017−1.6 (−2.0, −1.2)<0.05
AAPC1990–2017−3.3 (−3.4, −3.2)<0.05
MortalityAPC1990–1992−7.3 (−9.4, −5.0)<0.05
1992–1996−8.8 (−10.1, −7.6)<0.05
1996–2004−5.9 (−6.3, −5.5)<0.05
2004–2007−9.9 (−13.4, −6.2)<0.05
2007–2012−4.3 (−5.6, −2.9)<0.05
2012–2017−2.1 (−3.1, −1.0)<0.05
AAPC1990–2017−5.9 (−6.4, −5.4)<0.05
Multidrug-resistant tuberculosisPrevalenceAPC1990–199258.3 (45.7, 72.0)<0.05
1992–199513.7 (8.1, 19.7)<0.05
1995–20000.1 (−1.4, 1.5)>0.05
2000–2017−5.7 (−5.9, −5.5)<0.05
AAPC1990–20171.2 (0.3, 2.0)<0.05
IncidenceAPC1990–199264.4 (52.2, 77.6)<0.05
1992–199513.1 (8.0, 18.4)<0.05
1995–2005−5.5 (−5.9, −5.1)<0.05
2005–2011−15.2 (−16.5, −13.9)<0.05
2011–2017−6.8 (−8.4, −5.3)<0.05
AAPC1990–2017−2.3 (−3.1, −1.4)<0.05
MortalityAPC1990–199243.9 (38.8, 49.3)<0.05
1992–19957.2 (4.5, 10.0)<0.05
1995–2002−7 (−7.4, −6.6)<0.05
2002–2013−13.5 (−13.8, −13.2)<0.05
2013–2017−4.7 (−6.8, −2.6)<0.05
AAPC1990–2017−4.9 (−5.4, −4.5)<0.05
Extensively drug-resistant tuberculosisPrevalenceAPC1991–199384.4 (73.0, 96.4)<0.05
1993–199635.2 (31.2, 39.4)<0.05
1996–199924.8 (22.3, 27.3)<0.05
1999–20044.7 (4.2, 5.3)<0.05
2004–20121.2 (1.0, 1.4)<0.05
2012–2017−1.1 (−1.4, −0.7)<0.05
AAPC1991–201712.5 (11.9, 13.2)<0.05
IncidenceAPC1991–199377.3 (56.3, 101.0)<0.05
1993–199824.8 (22.5, 27.2)<0.05
1998–20026.6 (4.4, 8.8)<0.05
2002–20060.8 (−1.1, 2.8)>0.05
2006–2010−11.1 (−12.9, −9.2)<0.05
2010–2017−2.5 (−3.1, −1.9)<0.05
AAPC1991–20177.6 (6.5, 8.7)<0.05
MortalityAPC1993–199578.5 (65, 93.2)<0.05
1995–199818.3 (13.4, 23.4)<0.05
1998–20033.9 (2.7, 5.0)<0.05
2003–2014−7.6 (−7.9, −7.3)<0.05
2014–20172.4 (−0.1, 5.0)>0.05
AAPC1993–20174.5 (3.6, 5.4)<0.05

Abbreviations: AAPC, average annual percent change; APC, annual percent change.

The Epidemic Trends of Tuberculosis in China, 1990–2017 Abbreviations: AAPC, average annual percent change; APC, annual percent change. For DS-TB, the prevalence (AAPC: −0.6%, 95% CI: −0.7% to −0.5%), incidence (AAPC: −3.3%, 95% CI: −3.4% to −3.2%), and mortality (AAPC: −5.9%, 95% CI: −6.4% to −5.4%) decreased. The largest decline in the rates of these metrics occurred in the first decade of the 21st century. For MDR-TB, the incidence and mortality decreased, with AAPCs of −2.3% (95% CI: −3.1% to −1.4%) and −4.9% (95% CI: −5.4% to −4.5%), respectively. The rates of incidence and mortality were increased before 1995 and were reduced from then on. Despite the significant reduction in the prevalence of MDR-TB from 2000 to 2017, the prevalence of MDR-TB increased with an AAPC of 1.2% (95% CI: 0.3% to 2.0%). The metrics of XDR-TB decreased recently, with APCs of −1.1% (95% CI: −1.4% to −0.7%, 2012–2017) in prevalence, −11.1% (95% CI: −12.9% to −9.2%, 2006–2010) and −2.5% (95% CI: −3.1% to −9.2%, 2010–2017) in incidence, and −7.6% (95% CI: −7.9% to-7.3%, 2003–2014) in mortality (Table 1). The burden of XDR-TB increased from 1990 to 2017, with AAPCs of 12.5% (95% CI: 11.9% to 13.2%) in prevalence, 7.6% (95% CI: 6.5% to 8.7%) in incidence, and 4.5% (95% CI: 3.6% to 5.4%) in mortality [Table 1 and Figure 1D]. The highest disease burden of TB occurred among the population aged over 70 years, with the highest rates of all metrics among all TB groups. The highest prevalence (850.15 per 100,000), incidence (272.26 per 100,000), and mortality (115.74 per 100,000) of TB occurred in 1990. For MDR-TB, the highest prevalence rate (709.58 per 1,000,000) occurred in 1999, the highest incidence rate (251.51 per 1,000,000) occurred in 1995, and the highest mortality rate (175.89 per 1,000,000) occurred in 1995. For XDR-TB, the highest prevalence rate (24.23 per 1,000,000) occurred in 2008, the highest incidence rate (8.33 per 1,000,000) occurred in 2005, and the highest mortality rate (10.11 per 1,000,000) occurred in 2003. The heat maps also showed that the values of these metrics in all types of TB increased by age (Figure 2). The prevalence and incidence of TB and DS-TB decreased among all age groups with negative AAPCs. Increasing trends occurred in the prevalence of MDR-TB, except in the population aged 50–69 years. Metrics of XDR-TB increased in almost all age groups except mortality in the population aged 0–14 years, and the increasing trends were most obvious in the metric of prevalence [Figure 3D].
Figure 2

Average annual percent changes of prevalence, incidence, and mortality among different age groups by different types of tuberculosis in China. (A) Tuberculosis; (B) drug-susceptible tuberculosis; (C) extensively drug-resistant; (D) multidrug-resistant tuberculosis.

Figure 3

Heat maps of prevalence, incidence, and mortality among different age groups by different types of tuberculosis in China, 1990–2017. (A) Tuberculosis; (B) drug-susceptible tuberculosis; (C) extensively drug-resistant; (D) multidrug-resistant tuberculosis.

Average annual percent changes of prevalence, incidence, and mortality among different age groups by different types of tuberculosis in China. (A) Tuberculosis; (B) drug-susceptible tuberculosis; (C) extensively drug-resistant; (D) multidrug-resistant tuberculosis. Heat maps of prevalence, incidence, and mortality among different age groups by different types of tuberculosis in China, 1990–2017. (A) Tuberculosis; (B) drug-susceptible tuberculosis; (C) extensively drug-resistant; (D) multidrug-resistant tuberculosis. The rates of all metrics were higher among males than among females in all types of TB between 1990 and 2017 in China, which indicated that the males suffered higher disease burden than females. The male to female ratio of TB ranged from 1.34 (1994 and 1995) to 1.80 (2002) for prevalence, from 1.15 (1992) to 1.61 (2017) for incidence, and from 1.49 (1992) to 2.38 (2010 and 2011) for mortality. The trends in the male to female ratio among the different metrics were nearly the same, while the male to female ratios in incidence and mortality increased over time ( and ). The MI ratios decreased in all types of TB. The average MI ratios were 0.31 for XDR-TB, 0.14 for MDR-TB, and 0.06 for DS-TB between 1990 and 2017. The XDR-TB population had the highest MI ratios among the four types of TB, followed by the MDR-TB population; the DS-TB population had the lowest ratios. The trends in the MI ratios decreased from 1990 to 2017 with negative β values (P<0.05) (Figure 4 and ).
Figure 4

Trends of mortality to incidence ratios by different types of tuberculosis in China, 1990–2017.

Trends of mortality to incidence ratios by different types of tuberculosis in China, 1990–2017.

Discussion

TB is the leading cause of death from a single infectious agent, and China has been one of the major contributors to the TB disease burden in the world, with 866,000 new TB cases and 39,400 deaths in 2018.2 Coupled with these statistics, the incidence was as high as 58.83 per 100,000 and the mortality was 2.78 per 100,000 in 2017 in this study. From 1990 to 2017, the disease burden of TB decreased substantially, with AAPCs of −0.5% for prevalence, −3.2% for incidence, and −5.7% for mortality; however, the Chinese population still faces a great threat of TB. These findings are consistent with the results from several national epidemiological sampling surveys.16 According to existing evidence of trends and current situations of TB control, this study found that there will be only a 24.92% reduction (45.35 per 100,000 in 2025 vs 60.41 per 100,000 in 2015) and a 45.77% reduction (32.76 per 100,000 in 2025 vs 60.41 per 100,000 in 2015) in the incidence rates in China (). The deaths caused by TB will decrease from 41,435 in 2015 to 24,561 (40.72% reduction) in 2025 and to 13,657 (67.04% reduction) in 2035. It seems there is an obvious gap between the predictions and the global goals of ending TB adopted by the World Health Assembly in 2014 (75% reduction in deaths, 50% reduction in incidence by 2025; 95% reduction in deaths, 90% reduction in incidence by 2035).10 Different simulation models also showed that, without other enhanced measures, it would be difficult to meet the goal of reducing incidence in 2035 or ending TB.17,18 The WHO also estimated that there needs to be a 4–5% acceleration in the annual decline to reach the 2020 milestones.1,2 Males suffered a higher disease burden than females. Among all incident TB cases in 2018, there were 5.7 million males and 3.2 million females.2 This study showed that, in China, the male to female ratio of incidence was as high as 1.61 in 2017. More noteworthy, the new TB cases and prevalence cases were concentrated among the population aged more than 15 years old, comprising the main labor resources of the countries. This study illustrated that the population aged more than 50 years old suffered the highest disease burden, with higher rates of prevalence, incidence and mortality. A meta-analysis revealed that the people aged 35–69 suffered a greater disease burden, and the burden increased with age.19 The differences between the crude rates and the ARs in the evaluated metrics increased since the start of the 21st century, indicating that aging intensified in recent years in China. The percentage of individuals over age 50 increased from 16.1% in 1990 to 31.3% in 2017 in this study compared to the 21.9% of the world standardized population. Considering the situation of aging and the large number of latent TB infections (LTBIs) existing (13–20% among the whole population in China20), compounded with the fact that this situation is not easy to change immediately, TB control in China may suffer challenges in the near decades. Drug-resistant TB continues to be a public health crisis worldwide. The prevalence of MDR-TB has increased in the past decade and will continue to increase in areas within resource-poor settings such as India and China.5 Worldwide in 2018, the number of new MDR-TB/RR-TB was 484,000, with 66,000 cases in China.2 In this study, the prevalence of MDR-TB increased from 1990 to 2017, with an AAPC of 1.2%. All the rates of prevalence, incidence, and mortality for XDR-TB increased with positive values of AAPC. Considering the 75% proportion of MDR-TB cases among the MDR-TB/RR-TB cases in China,3 the estimated numbers were different, but both indicated a heavy disease burden of MDR-TB. A meta-analysis including 258 records suggested that the mean rate of MDR-TB in the total TB cases was 11% (95% CI: 10% to12%) in China during 1996–2014.21 The cure rate of MDR-TB and XDR-TB is usually lower (40–80%) than that (>90%) of DS-TB under the current effective treatment regimens. Furthermore, the treatment course for MDR-TB and XDR-TB is substantially more costly and laborious than that for DS-TB, with higher rates of treatment failure, mortality and potentially serious adverse effects, and a longer course of treatment.4,22,23 A previous study found that MDR-TB and XDR-TB accounted for less than 3% of the total TB caseload but consumed approximately 35% of the TB budget in South Africa, among which a substantial proportion was attributable to XDR-TB.24 The main causes of drug-resistant TB are weak health systems and policies, the amplification of resistance patterns through incorrect treatment and management, and transmission in communities or facilities.22,23,25 Although challenging, TB cure is often possible with early identification of resistance and the use of a properly designed regimen; some countries have reversed rising epidemics of MDR-TB.22 Decreasing trends in the MI ratios also indicated the declining severity of disease. Facing the increase in drug-resistant TB, China needs to provide sputum smear and culture tests at the county level, screen for positive-TB patients among high-risk groups, transfer the suspected MDR-TB cases to designated medical institutions, and promote multidrug rapid detection technology.11 Preventive strategies must also be updated (such as prophylaxis in drug-resistant TB contacts) to address the spread of primary infection with drug-resistant MTB strains, acquired resistance and adverse side effects to develop new effective drugs and repurposed regimens.21 For example, the 9–11 month injection-based “Bangladesh” regimen was recently shown to be noninferior to longer regimens and promising interim results of a novel 6 month 3-drug regimen (bedaquiline, pretomanid, and linezolid) have been reported.26 Globally, fifty-eight million lives were saved through TB control, and deaths decreased by 38% between 2000 and 2018, despite large and persistent gaps in detection and treatment that amounted to 3 million TB cases that were still not well treated.2 To fight the threat of disease, much greater control efforts are needed. The WHO had set a 2035 target (95% reduction in deaths and a 90% decline in incidence).1 China also provided actions to eliminate TB, such as improving the service and prevention system, developing a screening strategy, strictly executing the course of diagnosis, treatment and management, supplying the medical insurance and care even in the outpatient clinics, ensuring the supply of antituberculosis drugs, and emphasizing the high-risk populations. This study has several limitations. First, classification of TB is common (MDR-TB and XDR-B), and there are many types in practice, such as new and relapsed TB, single-drug-resistant TB, and incurable TB. Second, LTBIs were not included or reviewed, which would be one of the major influencing factors of TB control since approximately one-quarter of the world’s population was latently infected and the rate of LTBIs was also high in China. Third, factors such as geographic residence (urban and rural, west and east), economic levels, and comorbidities such as HIV and diabetes were also not included. These factors would influence the epidemic state and control of TB and should be addressed in future studies.

Conclusion

This study included a long period of TB data from the GBD study and founded that the epidemic state of TB decreased substantially from 1990 to 2017 in China. However, the burden of MDR-TB and XDR-TB increased and became a major challenge. Given the current situation, substantial progress is still needed to accomplish the goal of ending TB by 2035. In addition, given the aging population and the large number of LTBIs, China may suffer a great threat of TB for decades. More efforts to improve the service system, screening strategy, surveillance, diagnosis, treatment and management should be addressed, especially for MDR-TB and XDR-TB.
  14 in total

1.  Multidrug-resistant and extensively drug-resistant tuberculosis: a threat to global control of tuberculosis.

Authors:  Neel R Gandhi; Paul Nunn; Keertan Dheda; H Simon Schaaf; Matteo Zignol; Dick van Soolingen; Paul Jensen; Jaime Bayona
Journal:  Lancet       Date:  2010-05-22       Impact factor: 79.321

2.  Latent tuberculosis infection in rural China: baseline results of a population-based, multicentre, prospective cohort study.

Authors:  Lei Gao; Wei Lu; Liqiong Bai; Xinhua Wang; Jinsheng Xu; Antonino Catanzaro; Vicky Cárdenas; Xiangwei Li; Yu Yang; Jiang Du; Hongtao Sui; Yinyin Xia; Mufei Li; Boxuan Feng; Zhen Li; Henan Xin; Rong Zhao; Jianmin Liu; Shouguo Pan; Fei Shen; Jian He; Shumin Yang; Hongyan Si; Yi Wang; Zuhui Xu; Yunhong Tan; Tianzhu Chen; Weiguo Xu; Hong Peng; Zhijian Wang; Tao Zhu; Feng Zhou; Haiying Liu; Yanlin Zhao; Shiming Cheng; Qi Jin
Journal:  Lancet Infect Dis       Date:  2015-02-11       Impact factor: 25.071

Review 3.  Global control of tuberculosis: from extensively drug-resistant to untreatable tuberculosis.

Authors:  Keertan Dheda; Tawanda Gumbo; Neel R Gandhi; Megan Murray; Grant Theron; Zarir Udwadia; G B Migliori; Robin Warren
Journal:  Lancet Respir Med       Date:  2014-03-24       Impact factor: 30.700

4.  National survey of drug-resistant tuberculosis in China.

Authors:  Yanlin Zhao; Shaofa Xu; Lixia Wang; Daniel P Chin; Shengfen Wang; Guanglu Jiang; Hui Xia; Yang Zhou; Qiang Li; Xichao Ou; Yu Pang; Yuanyuan Song; Bing Zhao; Hongtao Zhang; Guangxue He; Jing Guo; Yu Wang
Journal:  N Engl J Med       Date:  2012-06-07       Impact factor: 91.245

Review 5.  Multidrug-Resistant Tuberculosis and Extensively Drug-Resistant Tuberculosis.

Authors:  Kwonjune J Seung; Salmaan Keshavjee; Michael L Rich
Journal:  Cold Spring Harb Perspect Med       Date:  2015-04-27       Impact factor: 6.915

Review 6.  The Lancet Respiratory Medicine Commission: 2019 update: epidemiology, pathogenesis, transmission, diagnosis, and management of multidrug-resistant and incurable tuberculosis.

Authors:  Keertan Dheda; Tawanda Gumbo; Gary Maartens; Kelly E Dooley; Megan Murray; Jennifer Furin; Edward A Nardell; Robin M Warren
Journal:  Lancet Respir Med       Date:  2019-09       Impact factor: 30.700

7.  Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017.

Authors: 
Journal:  Lancet       Date:  2018-11-08       Impact factor: 79.321

Review 8.  Multidrug-resistant tuberculosis (MDR-TB) disease burden in China: a systematic review and spatio-temporal analysis.

Authors:  Peipei Ding; Xiaowen Li; Zhongwei Jia; Zuhong Lu
Journal:  BMC Infect Dis       Date:  2017-01-10       Impact factor: 3.090

9.  What is the cost of diagnosis and management of drug resistant tuberculosis in South Africa?

Authors:  Anil Pooran; Elize Pieterson; Malika Davids; Grant Theron; Keertan Dheda
Journal:  PLoS One       Date:  2013-01-18       Impact factor: 3.240

10.  Tuberculosis control in China: use of modelling to develop targets and policies.

Authors:  Hsien-Ho Lin; Lixia Wang; Hui Zhang; Yunzhou Ruan; Daniel P Chin; Christopher Dye
Journal:  Bull World Health Organ       Date:  2015-09-15       Impact factor: 9.408

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  12 in total

1.  [Comparison of nano-hydroxyapatite/polyamide 66 bioactive support and autologous iliac bone in bone grafting and fusion for elderly patients with lumbar tuberculosis].

Authors:  Jiekai Ye; Jun Fei; Zhen Lai; Peng Zhang; Jinping Hu; Shengping Hu; Chenwei Zhang
Journal:  Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi       Date:  2022-03-15

2.  Estimating the Effects of the COVID-19 Outbreak on the Reductions in Tuberculosis Cases and the Epidemiological Trends in China: A Causal Impact Analysis.

Authors:  Wenhao Ding; Yanyan Li; Yichun Bai; Yuhong Li; Lei Wang; Yongbin Wang
Journal:  Infect Drug Resist       Date:  2021-11-06       Impact factor: 4.003

3.  ACTIVATE-2: A Double-Blind Randomized Trial of BCG Vaccination Against COVID-19 in Individuals at Risk.

Authors:  Maria Tsilika; Esther Taks; Konstantinos Dolianitis; Antigone Kotsaki; Konstantinos Leventogiannis; Christina Damoulari; Maria Kostoula; Maria Paneta; Georgios Adamis; Ilias Papanikolaou; Kimon Stamatelopoulos; Amalia Bolanou; Konstantinos Katsaros; Christina Delavinia; Ioannis Perdios; Aggeliki Pandi; Konstantinos Tsiakos; Nektarios Proios; Emmanouela Kalogianni; Ioannis Delis; Efstathios Skliros; Karolina Akinosoglou; Aggeliki Perdikouli; Garyfallia Poulakou; Haralampos Milionis; Eva Athanassopoulou; Eleftheria Kalpaki; Leda Efstratiou; Varvara Perraki; Antonios Papadopoulos; Mihai G Netea; Evangelos J Giamarellos-Bourboulis
Journal:  Front Immunol       Date:  2022-07-05       Impact factor: 8.786

4.  Prevalence of Multidrug-Resistant Tuberculosis in Dalian, China: A Retrospective Study.

Authors:  Liang Du; Yu Zhang; Xintong Lv; Yuxin Duan; Xiaoyan Shi; Haoqiang Ji; Ruiheng Wu; Jia Xu; Xu Chen; Yang Gao; Xiwei Lu; Ling Zhou
Journal:  Infect Drug Resist       Date:  2021-03-16       Impact factor: 4.003

5.  A case of concomitant pulmonary embolism and pulmonary tuberculosis in the era of COVID 19, a matter of cautious approach.

Authors:  Sinda Dakhlia; Phool Iqbal; Muhammad Abubakar; Sabeen Zara; Muhammad Murtaza; Adel Al Bozom; Nedia Neffati
Journal:  Clin Case Rep       Date:  2021-03-24

6.  Drug Resistance Patterns and Trends in Patients with Suspected Drug-Resistant Tuberculosis in Dalian, China: A Retrospective Study.

Authors:  Yuanping Pan; Yingying Yu; Jiachen Lu; Yaohui Yi; Xiaofeng Dou; Ling Zhou
Journal:  Infect Drug Resist       Date:  2022-07-30       Impact factor: 4.177

7.  Temporal Trends in Notification and Mortality of Tuberculosis in China, 2004-2019: A Joinpoint and Age-Period-Cohort Analysis.

Authors:  Luqi Wang; Weibing Wang
Journal:  Int J Environ Res Public Health       Date:  2021-05-24       Impact factor: 3.390

8.  Forecasting the Tuberculosis Incidence Using a Novel Ensemble Empirical Mode Decomposition-Based Data-Driven Hybrid Model in Tibet, China.

Authors:  Jizhen Li; Yuhong Li; Ming Ye; Sanqiao Yao; Chongchong Yu; Lei Wang; Weidong Wu; Yongbin Wang
Journal:  Infect Drug Resist       Date:  2021-05-25       Impact factor: 4.003

9.  Epidemiological Trends in the Form of Childhood Tuberculosis in a Referral Tuberculosis Hospital in Shandong, China.

Authors:  Mao-Shui Wang; Jun-Li Wang; Xin-Jie Liu
Journal:  Biomed Res Int       Date:  2020-08-08       Impact factor: 3.411

10.  Changes in newly notified cases and control of tuberculosis in China: time-series analysis of surveillance data.

Authors:  Ye-Sheng Wang; Wen-Long Zhu; Tao Li; Wei Chen; Wei-Bing Wang
Journal:  Infect Dis Poverty       Date:  2021-02-24       Impact factor: 4.520

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