Literature DB >> 32811133

Characteristics and risk factors associated with missed diagnosis in patients with smear-negative pulmonary tuberculosis.

Se Hyun Kwak1, Ji Soo Choi1, Eun Hye Lee1, Su Hwan Lee1, Ah Young Leem1, Sang Hoon Lee1, Song Yee Kim1, Kyung Soo Chung1, Ji Ye Jung1, Moo Suk Park1, Young Sam Kim1, Joon Chang1, Young Ae Kang1.   

Abstract

BACKGROUND/AIMS: Delayed diagnosis and treatment of smear-negative pulmonary tuberculosis (TB) are major concerns for TB control. We evaluated characteristics of patients with smear-negative pulmonary TB who received a delayed diagnosis and identified risk factors that may have contributed to this delay.
METHODS: We reviewed medical records of patients with smear-negative culture-positive pulmonary TB treated at a tertiary care hospital in South Korea between January 2017 and December 2018. Patients who initiated anti-TB treatment after positive cultures were included in the missed TB group, and those who initiated empirical treatment before positive cultures were included in the control group.
RESULTS: Of 220 patients included, 117 (53.2%) and 103 (46.8%) were in the missed TB and control groups, respectively. Patients in the missed TB group were older (p = 0.001) and had a higher mean body mass index (BMI) (p = 0.019). Comorbidities (66.9% vs. 46.6%, p = 0.003) and immunocompromised patients (33.1% vs. 20.4%, p = 0.035) were more common in the missed TB group than in the control group. Old age (odds ratio [OR], 1.030; 95% confidence interval [CI], 1.012 to 1.048; p = 0.001), high BMI (OR, 1.114; 95% CI, 1.004 to 1.237; p = 0.042), and negative polymerase chain reaction (PCR) results (OR, 9.551; 95% CI, 4.925 to 18.521; p < 0.001) were associated with delayed diagnosis.
CONCLUSION: In more than half of patients with smear-negative pulmonary TB, the diagnosis was delayed. Patients with delayed TB diagnosis were older, had higher BMI, and negative PCR results.

Entities:  

Keywords:  Diagnosis; Lung disease; Risk factors; Tuberculosis

Mesh:

Year:  2020        PMID: 32811133      PMCID: PMC8009164          DOI: 10.3904/kjim.2019.435

Source DB:  PubMed          Journal:  Korean J Intern Med        ISSN: 1226-3303            Impact factor:   2.884


INTRODUCTION

Tuberculosis (TB) is the leading cause of death from a single epidemic disease worldwide [1], and it remains a global health problem despite advances in its diagnosis and treatment. The global incidence of TB is currently declining 1.5% per year [1], and to achieve the World Health Organization (WHO) End TB Strategy targets, this reduction rate needs to be increased by 4% to 5% per year by 2020 [2]. To reach the goals of the WHO End TB Strategy, early diagnosis to prevent TB spread is one of the most important factors for reducing the incidence of TB [3]. To enable early detection and diagnosis, the sensitivity and specificity of TB diagnostic tools must be improved. Sputum smear microscopy has been used as a primary method for diagnosing TB [4]; however, the sensitivity of this method is reportedly only 50% to 60% [5]. Because it may take a long time before TB culture test results are confirmed, not initiating TB treatment until a positive culture report is received may result in delayed diagnosis. This, in turn, may delay optimal treatment, lead to poor treatment outcomes, and increase the risk of transmission in the hospital and community. For the rapid diagnosis of smear-negative pulmonary TB, TB polymerase chain reaction (PCR), which includes the Xpert MTB/RIF assay (Xpert, Cepheid, Sunnyvale, CA, USA), is performed; however, this assay is not sufficiently sensitive and not fully implemented in real-world settings. Therefore, delayed diagnosis and treatment of smear-negative pulmonary TB are major concerns for TB control in low- and intermediate-burden areas. We, therefore, aimed to evaluate the clinical characteristics and radiologic findings of patients with smear-negative pulmonary TB whose diagnosis and treatment were delayed and to identify risk factors that may have contributed to the delayed diagnosis.

METHODS

Study population and design

We conducted this single-center retrospective study at a tertiary care hospital in South Korea between January 2017 and December 2018. Patients with smear-negative and culture-positive pulmonary TB were retrospectively identified. The Institutional Review Board at Severance Hospital approved this retrospective study and waived the need for informed consent for access to electric medical records (IRB No. 2019-2828-001).

Patients and data collection

Medical records of 307 adult patients (aged ≥ 18 years) with smear-negative and culture-positive pulmonary TB were evaluated. Smears were considered positive if acid-fast bacteria (on auramine-rhodamine staining) were observed in the smears of any of the respiratory specimens [6]. We included only patients diagnosed with pulmonary TB according to the WHO [7] and Korean TB guidelines [8], i.e., a diagnosis that was based on a positive culture from a spontaneous sputum sample, an induced sputum sample, or bronchoalveolar lavage. From this patient group, we excluded patients with extra-pulmonary TB, those who had already initiated treatment at another hospital, those who were not prescribed medication at our hospital, and those who were currently under treatment. The following data were collected from each patient’s medical record: demographic data (sex, age, body mass index [BMI]), presence of comorbidities (immunocompromised condition, hypertension, diabetes mellitus, chronic kidney disease, and respiratory disease), smoking status, and prior history of TB treatment. Immunocompromised patients were defined as (1) hematopoietic cell transplant recipients; (2) other solid organ transplant recipients; (3) patients with malignancies who were receiving chemotherapy; and (4) patients who received any immunosuppressive treatments (e.g., biologic agents targeting inflammatory mediators, or corticosteroid therapy). Patients who smoked at least once in their lifetime were classified as smokers. Furthermore, we reviewed other medical records, including clinical TB forms, reports of symptoms at diagnosis, radiographic findings, and diagnostic methods.

Classification of the study population

The study population was divided into two groups based on whether anti-TB treatment was initiated before or after receiving positive culture results. Patients who initiated anti-TB treatment after the confirmation of positive culture results were included in the missed TB group, and those who initiated empirical treatment before obtaining the final culture results were included in the control group.

Treatment outcomes

Treatment outcomes were defined according to the WHO [9] and Korean TB guidelines [8]. A favorable outcome was defined as a cure and/or treatment completion without relapse, and an unfavorable outcome was defined as treatment failure, death during treatment, or relapse after completing the initial treatment.

Statistical analysis

Data are presented as the number of cases and the median (interquartile range [IQR]). Categorical comparisons were performed using the chi-square test, and continuous variables were compared using the Mann–Whitney test or t test. Multivariate logistic regression analysis was performed to evaluate factors potentially associated with a delayed diagnosis of TB. The odds ratios (ORs) and 95% confidence intervals (CIs) were also calculated. A p value < 0.05 was considered significant for all analyses. Data analysis was performed using SPSS version 25 (Released 2017, IBM Corp., Armonk, NY, USA).

RESULTS

Study population

From January 2017 to December 2018, 307 patients with smear-negative and culture-positive TB were enrolled in this study. Of the 307 patients, 87 were excluded, and 220 patients met the inclusion criteria. Of these 220 patients, 117 (53.2%) were included in the missed TB group and 103 (46.8%) were included in the control group (Fig. 1).
Figure 1.

Flow chart of the study population. TB, tuberculosis.

Baseline characteristics

Baseline characteristics of the study population are summarized in Table 1. The study population had a median age of 58.0 years (IQR, 39.3 to 71.0). Compared with patients in the control group, those in the missed TB group were older (median age, 49.0 years [IQR, 33.0 to 69.0] vs. 63.0 years [IQR, 48.5 to 72.5]; p = 0.001) and had significantly higher BMI (21.6 kg/m2 [IQR, 19.5 to 23.4] vs. 22.4 kg/m2 [IQR, 20.0 to 24.7], p = 0.019). The presence of any comorbidities (79 [66.9%] vs. 48 [46.6%], p = 0.003) and immunocompromised conditions (39 [33.1%] vs. 21 [20.4%], p = 0.035) were more common in the missed TB group than in the control group. There were no significant differences in sex, smoking status, or prior history of TB treatment between the two groups.
Table 1.

Baseline characteristics

VariableTotal (n = 220)Control (n = 103)Missed TB (n = 117)p value
Age, yr58.0 (39.3–71.0)49.0 (33.0–69.0)63.0 (48.5–72.5)0.001
Sex1.000
 Male130 (59.1)61 (59.2)69 (59.0)
 Female90 (40.9)42 (40.8)48 (41.0)
Body mass index, kg/m222.0 (19.7–24.1)21.6 (19.5–23.4)22.4 (20.0–24.7)0.019
Underlying disease
 Presence of any comorbidity127 (57.7)48 (46.6)79 (67.5)0.003
 Immunocompromised60 (27.3)21 (20.4)39 (33.3)0.035
 Hypertension58 (26.4)25 (24.3)33 (28.2)0.542
 Diabetes mellitus39 (17.7)15 (14.6)24 (20.5)0.290
 Chronic kidney disease11 (5.0)4 (3.9)7 (6.0)0.548
 Respiratory disease13 (5.9)3 (2.9)10 (8.5)0.091
Smoking history103 (46.8)47 (45.6)56 (47.9)0.787
Prior history of TB treatment29 (13.2)12 (11.7)17 (14.5)0.556
Symptoms116 (52.7)52 (50.5)64 (54.7)0.589
 Cough64 (29.1)31 (30.1)33 (28.2)0.768
 Sputum43 (19.5)14 (13.6)29 (24.8)0.042
 Night sweat1 (0.5)1 (1.0)0 (0.0)0.468
 Fever30 (13.6)13 (12.6)17 (14.5)0.699
 Weight loss2 (0.9)0 (0.0)2 (1.7)0.500
 Dyspnea16 (7.3)6 (5.8)10 (8.5)0.604
 Hemoptysis12 (5.5)6 (5.8)6 (5.1)1.000
Radiographic finding[a]
 Cavitary lesion36 (16.4)24 (23.3)12 (10.3)0.011
 Consolidation82 (37.3)43 (41.7)39 (33.3)0.211
 Nodules/mass180 (81.8)88 (85.4)92 (78.6)0.222
 Predominant upper lung field107 (48.6)55 (53.4)52 (44.4)0.224
IGRA
 Done68 (30.9)38 (36.9)30 (25.6)0.080
 Positive65 (95.6)37 (97.4)28 (93.3)0.056
PCR
 Done203 (92.3)101 (98.1)102 (87.2)0.002
 Positive97 (47.8)71 (70.3)26 (25.5)< 0.001
 Bronchoscopy55 (25.0)28 (27.2)27 (23.1)0.534
 Considering the possibility of TB at first visit170 (77.3)99 (96.1)71 (60.7)< 0.001

Values are presented as median (interquartile range) or number (%).

TB, tuberculosis; IGRA, interferon-gamma release assay; PCR, polymerase chain reaction.

Chest computed tomographies (CTs) were performed in 216 patients. We reviewed all chest CTs in 216 patients and chest X-rays in another four patients.

The most common symptoms experienced by patients before being diagnosed with TB were cough and sputum production (64 [29.1%] and 43 [19.5%], respectively). There were no significant differences between the two groups regarding whether symptoms developed before TB was diagnosed (52 [50.5%] vs. 64 [54.7%], p = 0.589). In total, 216 (98.2%) patients underwent chest computed tomography (CT), and four (1.8%) underwent only chest X-ray. Fewer patients in the missed TB group than in the control group presented with a cavitating lesion on chest X-ray or chest CT (24 [23.3%] vs. 12 [10.3%], p = 0.011). In addition to the smear/culture examination, patients underwent other diagnostic tests, including PCR and interferon-gamma release assay (IGRA). In total, 30.9% of patients underwent IGRA, of whom 95.6% showed positive results. There were no significant differences between the two groups in terms of the proportion of patients with positive IGRA results (37 [97.4%] vs. 28 [93.3%], p = 0.056). Furthermore, 92.3% of patients underwent PCR, including Xpert MTB/RIF assay, and 47.8% of patients with positive cultures also had positive PCR results. The proportion of positive PCR results was lower in the missed TB group than in the control group (26 [25.5%] vs. 71 [70.3%], p < 0.001) (Table 1 and Fig. 2).
Figure 2.

Proportion of positive polymerase chain reaction (PCR), including Xpert MTB/RIF assay (Xpert, Cepheid, Sunnyvale, CA, USA) and results.

Table 2 shows working diagnoses for patients in the missed TB group before pulmonary TB was confirmed and the reasons for initiating anti-TB treatment before obtaining culture results for patients in the control group. Clinicians considered the possibility of TB at the first visit in 71 (60.7%) patients. Of these 71 patients, 27 (38.0%) were treated with antibiotics before the diagnosis of TB to rule out pulmonary TB. Differential diagnoses considered by clinicians for patients in the missed TB group included pneumonia (n = 24, 20.5%) and lung cancer (n = 8, 6.8%). Patients who initiated anti-TB treatment before obtaining culture results were treated based on positive PCR results (n = 48, 46.6%), radiographic findings (n = 27, 26.2%), radiographic findings and PCR (n = 20, 19.4%), pathology results (n = 4, 3.9%), pathology and PCR (n = 3, 2.9%), or clinical symptoms (n = 1, 1.0%).
Table 2.

Working diagnoses in the missed TB group and the reasons for starting anti-TB treatment before obtaining the culture results in the control group

ValueNo. (%)
Working diagnoses[a]
 TB suspected in the first impression71/117 (60.7)
 Pneumonia24/117 (20.5)
 Lung cancer8/117 (6.8)
 Stabilized TB5/117 (4.3)
 NTM5/117 (4.3)
 Bronchiectasis2/117 (1.7)
 Latent TB1/117 (0.9)
 IgG4 related systemic disease1/117 (0.9)
Reasons for starting anti-TB therapy[b]
 Clinical symptoms only1/103 (1.0)
 Radiographic findings only27/103 (26.2)
 Radiographic findings and PCR20/103 (19.4)
 PCR48/103 (46.6)
 Pathology4/103 (3.9)
Pathology and PCR3/103 (2.9)

TB, tuberculosis; NTM, nontuberculosis mycobacteria; IgG4, immunoglobulin G4; PCR, polymerase chain reaction.

Working diagnoses in missed TB group.

Reasons for starting anti-TB therapy before positive culture in control group.

Clinical treatment outcomes

Clinical treatment outcomes are shown in Table 3. The median duration from the date of culture testing to the start of treatment was 3.0 days (IQR, 0.0 to 7.0) in the control group and 25.0 days (IQR, 21.0 to 29.0) in the missed TB group (p < 0.001), indicating that anti-TB treatment was initiated significantly later in the missed TB group than in the control group (Table 3 and Fig. 3). During the median follow-up of 559.0 days (IQR, 311.0 to 767.0), 190 (86.4%) patients were treated successfully with favorable outcomes, including cure and treatment completion. Unfavorable outcomes occurred in 12 patients (5.5%); these outcomes included treatment failure (n = 1, 0.5%), death during treatment (n = 10, 4.5%), and relapse after initial treatment completion (n = 1, 0.5%). The median duration of treatment was 188.0 days (IQR, 181.0 to 269.0). There were no significant differences between the two groups in the median duration of treatment (188.0 days [IQR, 181.0 to 271.0] vs. 186.0 days [IQR, 181.0 to 267.5], p = 0.893). Eighty-one (36.8%) patients experienced adverse events associated with anti-TB drugs, of whom 17 (7.7%) changed medication and 38 (17.3%) discontinued and restarted medication owing to the adverse events. There were no statistically significant differences in treatment outcomes between the two groups.
Table 3.

Clinical treatment outcomes

VariableTotal (n = 220)Control (n = 103)Missed TB (n = 117)p value
Period between culture test and the start of treatment, day17.0 (4.0–26.0)3.0(0.0–7.0)25.0 (21.0–29.0)< 0.001
Treatment duration, day188.0 (181.0–269.0)188.0 (181.0–271.0)186.0 (181.0–267.5)0.893
End of treatment outcome0.923
 Treatment success190 (86.4)89 (86.4)101 (86.3)
 Failure1 (0.5)01 (0.9)
 Death during treatment10 (4.5)4 (3.9)6 (5.1)
 Lost to follow-up2 (0.9)1 (1.0)1 (0.9)
 Not evaluated17 (7.7)9 (8.7)8 (6.8)
Treatment outcomes in follow-up
 Relapse1 (0.5)01 (0.9)1.000
 All-cause death11 (5.0)4 (3.9)7 (6.0)0.548
 Favorable outcome189 (85.9)89 (86.4)100 (85.5)1.000
 Unfavorable outcome12 (5.5)4 (3.9)8 (6.8)0.386
 Changed medication due to AE17 (7.7)7 (6.8)10 (8.5)0.801
 Stopped medication due to AE38 (17.3)15 (14.6)23 (19.7)0.373
 Total of patient who have AE81 (36.8)35 (34.0)46 (39.3)0.484
Time of follow-up, day559.0 (311.0–767.0)559.0 (306.0–762.0)561.0 (318.0–775.0)0.272

Values are presented as median (interquartile range) or number (%).

TB, tuberculosis; AE, adverse events.

Figure 3.

Box-and-whisker plots showing the date of initiation of anti-tuberculosis (TB) treatment and positive results of mycobacterial culture. IQR, interquartile range.

Factors associated with a delayed diagnosis of TB

Table 4 shows the results of univariate and multivariate logistic regression analyses that estimated the ORs of missed TB. On univariate analysis, six variables were associated with missed TB diagnosis, namely, old age, high BMI, immunocompromised status, absence of a cavitating lesion, absence of sputum production, and negative PCR results or no PCR testing. The following variables remained significant in the final multivariate analysis: older age (OR, 1.030; 95% CI, 1.012 to 1.048; p = 0.001), high BMI (OR, 1.114; 95% CI, 1.004 to 1.237; p = 0.042), and negative PCR results (OR, 9.551; 95% CI, 4.925 to 18.521; p < 0.001).
Table 4.

Univariate and multivariate logistic regression analysis of variables that may have contributed to a missed TB diagnosis

VariableUnadjusted
Adjusted
OR95% CIp valueOR95% CIp value
Old age1.0271.012–1.042< 0.0011.0301.012–1.0480.001
Male sex0.9900.578–1.6960.9700.8820.445–1.7110.882
Body mass index1.1091.014–1.2130.0231.1141.004–1.2370.042
Underlying disease
Immunocompromised1.9521.056–3.6090.0331.2580.600–2.6370.544
Hypertension1.2260.670–2.2430.509
Diabetes mellitus1.5140.746–3.0730.251
Chronic kidney disease1.5750.448–5.5420.479
Respiratory disease3.1150.833–11.6470.091
Smoking history1.0940.643–1.8600.741
Prior history of TB treatment1.2890.584–2.8450.529
Symptoms
Without sputum4.770.236–0.9640.0390.6050.263–1.3920.237
Radiographic findings
Without cavitary lesion2.6581.253–5.6380.0111.7470.716–4.2600.220
Without consolidation1.4330.828–2.4810.198
Without nodules/mass1.5940.789–3.2220.194
Without pleural effusion1.1370.070–18.4150.928
Non-predominant upper lung field1.4320.842–2.4380.185
PCR, negative or not done7.7664.247–14.198< 0.0019.5514.925–18.521< 0.001
IGRA, negative or not done1.7820.993–3.1990.053

TB, tuberculosis; OR, odds ratio; CI, confidence interval; PCR, polymerase chain reaction; IGRA, interferon-gamma release assay.

DISCUSSION

In this study, we found that the diagnosis of more than half of all patients with smear-negative pulmonary TB (53.2%) was delayed until the confirmation of positive culture results. Such a delay could contribute to disease transmission within the hospital [10] and community. Patients with a delayed diagnosis of TB were older, had higher BMIs, and were more likely to have negative PCR results. Thus, these were factors that could potentially delay diagnosis and treatment of smear-negative pulmonary TB. Older age was an important factor associated with missed TB diagnosis, a finding consistent with the results of previous studies [11-13]. In elderly people, clinical symptoms and radiographic findings of TB are known to be less typical and less specific [12,14], making it easier for TB to be confused with other diseases [13]. Atypical clinical manifestations of TB in elderly patients may lead to delayed diagnosis and treatment, which may be associated with poor treatment outcomes. Furthermore, because adverse reactions are more common in elderly patients undergoing anti-TB treatment [15,16], clinicians are more likely to hesitate to initiate anti-TB treatment, which can cause a delay in the diagnosis and treatment of such patients with smear-negative pulmonary TB. Previous studies have shown that the mortality rate of TB increases with older age [17]. The higher mortality rate associated with TB in elderly patients was because of underlying comorbidities, deterioration of the immune system, and delays in initiating anti-TB treatment [18]. Therefore, efforts to improve early detection and treatment in the elderly population are needed. TB is often difficult to diagnose; thus, even if typical respiratory symptoms of TB are not present, clinicians should consider the possibility of TB in elderly patients living in areas with a considerable TB burden. In our study, BMI was significantly higher in the missed TB group than in the control group. We, therefore, assumed that clinicians may be less likely to suspect TB in patients with higher BMI, although there is limited in-depth evidence to support this assumption. Although there were significant differences in BMI in the two groups, the mean BMIs in both groups were within the normal weight range according to the WHO guidelines. According to the Korean TB guidelines [8], broad-spectrum antibiotics—except fluoroquinolones—could be used to rule out pulmonary TB in clinical settings. However, in our study, only 38% of patients who had a possible diagnosis of pulmonary TB were treated with broad-spectrum antibiotics before their diagnosis. This might be explained by the high performance rate of chest CT (98% in our study) and easy accessibility of bronchoscopy at our institution. At our facility, when a clinician suspects pulmonary TB through chest radiographs, they tend to perform chest CT and bronchoscopic examinations to achieve an accurate diagnosis, rather than initiate a trial of broad-spectrum antibiotics in our situation. Rapid molecular diagnostic tools have improved the diagnostic yield of TB. Our analysis revealed that positive PCR results were associated with a faster diagnosis. However, we also found that the sensitivity of PCR testing was only 47.8%. This was probably related to the properties of smear-negative TB, i.e., paucibacillary TB with low bacillary load or enzymes in the sputum, which inhibits the amplification reaction. Previous studies reported that Xpert MTB/RIF results had a sensitivity ranging from 47% to 87% [19] in the setting of smear-negative pulmonary TB. However, in real-world practice, the sensitivity of Xpert for the detection of TB is inadequate when few bacilli are present in the clinical specimen. Therefore, various attempts have been made to increase the sensitivity of the diagnosis. Although a recent report showed that the sensitivity of the Xpert MTB/RIF Ultra assay (63%) was superior to that of the Xpert MTB RIF assay (46%), neither test’s sensitivity was sufficiently high in the setting of smear-negative pulmonary TB [20]. Thus, the development of further rapid and sensitive diagnostic tools for paucibacillary TB is warranted to prevent the delayed diagnosis of possibly infectious cases of pulmonary TB. This study had some limitations. First, our study was a single-center trial, and the results may not be applicable to other settings. Second, the retrospective design of this study was limited to the review of medical records and our data may, therefore, not be as accurate as data collected within the context of a prospective study. Thus, further prospective studies are required to confirm our results. In conclusion, we identified clinical characteristics and risk factors associated with missed TB diagnosis in patients who initiated anti-TB treatment after receiving confirmed positive culture results. These factors could provide clues and explain why the diagnosis of TB was delayed in the missed TB group. Carefully considering the possibility of TB in an elderly population, even when symptoms are atypical, and performing diagnostic tests—including radiological imaging and molecular assays—can help clinicians with the early detection of TB. 1. Patients with a delayed diagnosis of tuberculosis (TB) were older, had a higher body mass index, and were more likely to have negative polymerase chain reaction results than those in whom empirical treatment was initiated before positive cultures. 2. The development of further rapid and sensitive diagnostic tools for paucibacillary TB is necessary to prevent the delayed diagnosis of pulmonary TB.
  15 in total

1.  [Analysis of the treatment of pulmonary tuberculosis in elderly patients at a university hospital in Rio de Janeiro, Brazil].

Authors:  João Paulo Cantalice Filho; Márcio Neves Bóia; Clemax Couto Sant Anna
Journal:  J Bras Pneumol       Date:  2007 Nov-Dec       Impact factor: 2.624

2.  Quality control in tuberculosis bacteriology. 1. Laboratory studies on isolated positive cultures and the efficiency of direct smear examination.

Authors:  V R Aber; B W Allen; D A Mitchison; P Ayuma; E A Edwards; A B Keyes
Journal:  Tubercle       Date:  1980-09

3.  Tuberculosis in older people: a retrospective and comparative study from Hong Kong.

Authors:  Chi C Leung; Wing W Yew; Chi K Chan; Chi H Chau; Cheuk M Tam; Chak W Lam; Wai O Tam; Kam S Lau; Wai T Liu
Journal:  J Am Geriatr Soc       Date:  2002-07       Impact factor: 5.562

Review 4.  GeneXpert for TB diagnosis: planned and purposeful implementation.

Authors:  Amy S Piatek; Maarten Van Cleeff; Heather Alexander; William L Coggin; Manuela Rehr; Sanne Van Kampen; Thomas M Shinnick; YaDiul Mukadi
Journal:  Glob Health Sci Pract       Date:  2013-03-21

5.  Risk Factors for Delayed Isolation of Patients with Active Pulmonary Tuberculosis in an Acute-care Hospital.

Authors:  Jaijun Han; Bo Da Nam; Se Yoon Park; Jebyung Park; Eunyoung Lee; Eun Jung Lee; Jung Hwa Hwang; Tae Hyong Kim
Journal:  Sci Rep       Date:  2019-03-19       Impact factor: 4.379

6.  Active Case Finding in the Elderly Tuberculosis in South Korea.

Authors:  Seung Heon Lee
Journal:  Tuberc Respir Dis (Seoul)       Date:  2019-07

7.  Delays in Isolating Patients Admitted to Hospital with Pulmonary Tuberculosis in Korea.

Authors:  Dae Hyuk Heo; Jun Won Seo; Jeong Han Kim; June Young Chun; Kang Il Jun; Chang Kyung Kang; Song Mi Moon; Kyoung Ho Song; Pyoeng Gyun Choe; Wan Beom Park; Ji Hwan Bang; Eu Suk Kim; Sang Won Park; Nam Joong Kim; Myoung Don Oh; Hong Bin Kim
Journal:  J Korean Med Sci       Date:  2019-11-11       Impact factor: 2.153

Review 8.  A systematic review of delay in the diagnosis and treatment of tuberculosis.

Authors:  Dag Gundersen Storla; Solomon Yimer; Gunnar Aksel Bjune
Journal:  BMC Public Health       Date:  2008-01-14       Impact factor: 3.295

Review 9.  What We Know About Tuberculosis Transmission: An Overview.

Authors:  Gavin Churchyard; Peter Kim; N Sarita Shah; Roxana Rustomjee; Neel Gandhi; Barun Mathema; David Dowdy; Anne Kasmar; Vicky Cardenas
Journal:  J Infect Dis       Date:  2017-11-03       Impact factor: 7.759

10.  Xpert MTB/RIF Ultra for detection of Mycobacterium tuberculosis and rifampicin resistance: a prospective multicentre diagnostic accuracy study.

Authors:  Susan E Dorman; Samuel G Schumacher; David Alland; Pamela Nabeta; Derek T Armstrong; Bonnie King; Sandra L Hall; Soumitesh Chakravorty; Daniela M Cirillo; Nestani Tukvadze; Nino Bablishvili; Wendy Stevens; Lesley Scott; Camilla Rodrigues; Mubin I Kazi; Moses Joloba; Lydia Nakiyingi; Mark P Nicol; Yonas Ghebrekristos; Irene Anyango; Wilfred Murithi; Reynaldo Dietze; Renata Lyrio Peres; Alena Skrahina; Vera Auchynka; Kamal Kishore Chopra; Mahmud Hanif; Xin Liu; Xing Yuan; Catharina C Boehme; Jerrold J Ellner; Claudia M Denkinger
Journal:  Lancet Infect Dis       Date:  2017-11-30       Impact factor: 25.071

View more
  4 in total

1.  Early detection of tuberculosis in patients with smear-negative pulmonary tuberculosis.

Authors:  Oki Nugraha Putra; Affan Yuniar Nur Hidayatullah
Journal:  Korean J Intern Med       Date:  2022-03-11       Impact factor: 3.165

2.  Transmission of multidrug-resistant Mycobacterium tuberculosis in Wuhan, China: A retrospective molecular epidemiological study.

Authors:  Qionghong Duan; Zhengbin Zhang; Dan Tian; Meilan Zhou; Yanjie Hu; Jun Wu; Tiantian Wang; Yuehua Li; Jun Chen
Journal:  Medicine (Baltimore)       Date:  2022-01-28       Impact factor: 1.889

3.  Predicting the impact of control strategies on the tuberculosis burden in South and North Korea using a mathematical model.

Authors:  Young Ae Kang; Jeehyun Lee; Hyunwoo Cho; Youngmok Park; Jeongjoo Seok; Joon Sup Yeom; Jun Yong Choi; Hee Jin Kim
Journal:  BMJ Glob Health       Date:  2021-10

4.  Additional Usefulness of Bronchoscopy in Patients with Initial Microbiologically Negative Pulmonary Tuberculosis: A Retrospective Analysis of a Korean Nationwide Prospective Cohort Study.

Authors:  Jee Youn Oh; Sung-Soon Lee; Hyung Woo Kim; Jinsoo Min; Yousang Ko; Hyeon-Kyoung Koo; Yun-Jeong Jeong; Hyeon Hui Kang; Ji Young Kang; Ju Sang Kim; Jae Seuk Park; Yunhyung Kwon; Jiyeon Yang; Jiyeon Han; You Jin Jang; Min Ki Lee; Yangjin Jegal; Young-Chul Kim; Yun Seong Kim
Journal:  Infect Drug Resist       Date:  2022-03-12       Impact factor: 4.003

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.