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Draft xray manuscript Dec 15 2009
A simple, valid numerical score for grading chest X-ray
severity in adult smear-positive pulmonary tuberculosis
Anna RalphMuhammad ArdianAndri Wiguna
Graeme MaguireGovert WaramoriNiels Becker
Glen DrogumullerMike Wilks
Emiliana TjitraSandjaja
Enny KenagalemGysje J. PontororingNicholas M. Anstey
Paul M. Kelly
Word counts
Abstract: 250
Manuscript: 2665
Tables: 4; Figures: 5; Box: 1
References: 39
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Draft xray manuscript Dec 15 2009
ABSTRACT
BACKGROUND
A standard method for grading radiological severity would be a
valuable tool in clinical trials involving adults with
tuberculosis. We aimed to generate and test a numerical score for
grading chest X-ray (CXR) severity in adults with smear-positive
pulmonary TB.
DESIGN
At a tuberculosis clinic in Papua, Indonesia, serial CXRs were
performed at diagnosis, 2 and 6 months in 115 adults with smear-
positive pulmonary TB. Radiographic findings predictive of 2-month
sputum microscopy status were used to generate a score. Validity
of the score was then assessed in a new dataset of 139 comparable
adults with TB, recruited 4 years later at the same site.
Relationships between the CXR score and other measures of TB
severity were examined.
RESULTS
The estimated proportion of lung affected and presence of
cavitation, but not cavity size or other radiological findings
(e.g. nodules, effusion), were combined to form a score given by
percentage of lung affected plus 40 if cavitation was present. As
well as predicting 2-month outcome, scores were significantly
associated with sputum smear grade at diagnosis (p<0.00005), body
mass index, lung function, haemoglobin, exercise tolerance, and
quality of life (p<0.02 for each). In the validation dataset,
baseline CXR score predicted 2-month smear status significantly
more accurately than did proportion of lung affected alone. In
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both datasets, CXR scores significantly decreased over time
(p<0.0005).
CONCLUSION
This simple method for grading CXR severity in adults with smear-
positive pulmonary TB correlates with baseline clinical and
microbiological severity and response to therapy.
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INTRODUCTION
Sputum smear microscopy, and culture where available, are the
standard modalities for diagnosing and monitoring treatment
response in pulmonary tuberculosis (TB). Chest radiography (CXR)
can provide useful corroborative and additional information
regarding disease extent and progress, but there is no agreed-
upon, validated system for grading the severity of CXR
abnormalities in bacteriologically-proven pulmonary TB. Several
methods were devised for this purpose at the time of early TB
treatment trials, such as those described by the Madras TB
Chemotherapy Centre in 1960,[1] Simon in 1966,[2] and the National
TB and Respiratory Disease Association of the USA in 1969[3] (Box
1). Among recent randomised, controlled trials (RCT) and
observational studies in adults with TB, there is lack of
consistency in grading CXR: previous grading systems,
modifications thereof, or a diversity of other investigator-
generated systems, are used (Table 1).
Problems in CXR reporting arise from the heterogeneous CXR
manifestations of pulmonary TB (e.g. in primary versus post-
primary disease, adults versus children, immunocompetent versus
immunocompromised)[4-6] and to inaccuracies inherent in CXR
performance and interpretation[2] (Box 2), including limited
inter-observer agreement on CXR findings.[7, 8] Despite these
shortcomings, the utility of CXR is well-established in TB
diagnosis and clinical monitoring.
CXR scores have also been developed for the purpose of population
screening,[9-12] but these tools seek to identify the presence of
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TB, rather than measure severity or response to treatment in
established disease. Associations between radiological extent and
other measures such as forced expiratory volume in one second
(FEV1), age or multidrug-resistant (MDR)-TB have previously been
identified,[13, 14] but efforts to generate a standard, simple,
numerical score, validated against TB outcome, in repeated
datasets, is lacking. We therefore aimed to devise a CXR score for
use in adults with smear-positive pulmonary TB, which is simple to
calculate and correlates with bacteriological and clinical
severity markers, for the purpose of grading severity and
monitoring treatment response in the context of TB clinical
trials. We then determined the score’s utility in a separate,
comparable dataset.
METHODS
Study setting
The study was conducted at a community-based TB clinic in Timika,
Papua Province, Indonesia. Timika has population of ~200,000 and
an estimated TB incidence of 311/100 000.[15]
Participants
Adults (>15 years) diagnosed with sputum smear positive pulmonary
TB who gave written informed consent were eligible for enrolment in
the study. Study participants were recruited during 2 time
periods: 2003-4 (training dataset) and 2008-9 (validation
dataset). Other results relating to the first dataset have been
published elsewhere.[16, 17]
Chest radiography
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Standard full-size posteroanterior CXR were performed at the time
of TB diagnosis and 2 and 6 months thereafter, with reports
provided by a clinician at the field site (first dataset: PK,
second dataset: AR) and additionally for the first dataset, by one
of two radiologists (MW or GD). During the first data collection
period, presence or absence of small (1-2 mm) or large (>2 mm)
nodules, patchy or confluent consolidation, cavitation, bronchial
lesions or fibrosis were reported for each of 3 zones (upper, mid
or lower zones) in each lung. The presence of effusion or
lymphadenopathy was reported, the total percentage of each lung
affected by any pathology was estimated, total cavity size in mm
recorded, and effusion volume (% of lung field) was estimated. To
grade percentage of affected lung, visual estimation of the extent
of opacification, cavitation or other pathology as a percentage of
visible lung was made; dense opacification of a zone was graded as
100% of that zone, while patchy opacification within a zone
attracting scores <100% depending on opacification extent. Other
remarks including presence of miliary disease were recorded.
During the second data collection period, a simplified CXR report
method was used (% lung affected, cavitation [0, <4cm, ≥4cm],
effusion [0, <25%, ≥25% of hemithorax], presence of consolidation,
fibrosis, nodules, miliary disease). Reporters were blinded to HIV
status, bacteriological and clinical parameters and treatment
outcome.
Sputum microscopy and clinical evaluations
Baseline sputum microscopy was performed at the onsite laboratory
and repeated at the reference laboratory on samples collected at
0, 2 and 6 months, and density of acid fast bacilli (AFB) was
graded as 1, 2 or 3+ according to standard protocols.[16, 17]6
Draft xray manuscript Dec 15 2009
Baseline and follow-up evaluations included: body mass index
(BMI), FEV1 (spirometry performed using ML3535C, MicroLoop,
MicroMedical), haemoglobin (Hb) measured using point-of-care
HemaCue® or iSTAT® testing, 6-minute walk test (distance walked in
6 minutes on a straight walking track) measured according to
American Thoracic Society guidelines and St George’s Respiratory
Questionnaire (SGRQ) modified to reflect local conditions and
translated into Indonesian language. The SGRQ evaluates quality of
life and disability relating to respiratory impairment. Scores (0
= no impairment) are generated in the domains of respiratory
symptoms, activity impairment, social and psychological impacts of
illness, and overall score.[18] Standard definitions were used for
nutritional category (normal, mild malnutrition, moderate
malnutrition or severe malnutrition) according to BMI,[19]
impairment in lung function (% predicted FEV1 (ref Handojo paper
re normal values and can delete ref 20),[20] and TB treatment
outcome at 6 months (cured, completed, transferred, defaulted,
failed or died).[21]
Outcome measure
The outcome measure used in this study is 2-month sputum AFB
microscopy status. This is recognised as a valid surrogate
endpoint, with 2-month smear positivity predicting unfavourable
outcomes including treatment failure and death,[22-24] and
determining the need for continued intensive-phase therapy versus
switching to continuation-phase therapy.[21]
Data analysis
Statistical calculations were performed using Intercooled Stata
10.1; graphs were created in GraphPad Prism 5. Statistical tests
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were two-sided, with a p-value of <0.05 indicating statistical
significance. Intergroup differences in means or medians were
compared using 2-sample t-tests, Wilcoxon rank sum tests, analysis
of variance or Kruskal-Wallis tests as appropriate. Concordance
for continuous measures was tested using Lin's concordance
correlation coefficient, interpreted in the standard way
(correlation value ≤0.50: very low correlation; 0.51 to 0.79: low;
0.80 to 0.89: moderate; ≥0.90: high) and inter-rater agreement for
binary measures was tested using the kappa statistic, interpreted
according to Altman (kappa ≤0.2: poor, 0.21-0.40: fair; 0.41-0.60:
moderate; 0.61-0.80: good; 0.81-1.00: very good).
Regression models were used to determine relationships between
radiographic findings (radiologist-determined) and outcome (2-
month sputum smear status). Goodness of fit of final models were
assessed using the Hosmer-Lemeshow test. Regression coefficients
provided the weighting for a numerical score. The calculated
numerical score was then assessed for its ability to predict
outcome in the validation dataset, using receiver-operator
characteristics (area under the curve, AUC). Test accuracy was
interpreted according to standard cutoffs: AUC 0.9-1.0 =
excellent, 0.8-0.9 = good, 0.7-0.8 = fair, 0.6-0.7 = poor, 0.5-0.6
= fail.
Ethics
Approval was granted by the ethics committees of the National
Institute of Health Research and Development, Indonesian Ministry
of Health, Jakarta and the Menzies School of Health Research,
Darwin, Australia. Written informed consent was obtained from
participants in Indonesian or an appropriate Papuan language.
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RESULTS
Characteristics of study participants in the two data collection
phases are shown in Table 2. All participants had smear-positive
pulmonary TB (≥2 AFB smear positive sputum samples); the result of
the additional sample provided for microscopy and culture on the
day of treatment commencement is reported here (smear negative in
5.7% and 7.2% of participants in the 2 datasets respectively
despite their prior samples being positive). CXR reports were
available at baseline, 2 and 6 months for 112, 76 and 76 study
participants in the first dataset, and 136, 93 and 76 study
participants in the second dataset (incomplete in the second
dataset since 30 of 139 have not yet completed 6 months) (Table
3). Reasons for missing CXR included patient failure to attend
(died, defaulted or transferred prior to appointment), inability
to obtain CXR (e.g. power failure), CXR date more than 3 weeks
before or after the due follow-up date, or CXR unavailable for
reporting.
Agreement on radiological abnormalities
Agreement between reporters on radiological abnormalities in the
training dataset ranged from poor to moderate only. Concordance
between the clinician and either of the two radiologists was
moderate for percentage of lung affected and cavitation size
(Pearson’s R 0.87 and 0.81 respectively). Inter-rater agreement
was somewhat better for presence of consolidation ( 0.54, moderate
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agreement) than for other pathology types, where agreement was
fair or poor.
Development of score using training dataset
2-month sputum smear status in the initial dataset (n=115) was
significantly predicted in univariate logistic regression models
by the presence of baseline cavitation (odds ratio 3.26, 95% CI
1.11-9.56) and, to a small extent, by the total percentage of lung
affected (odds ratio 1.03, 95% CI 1.01-1.05), but not by
cavitation size, presence or number of nodules, fibrosis,
effusion, bronchial lesions or lymph nodes. Including both
cavitation and percentage of lung affected in the model did not
result in significant improvement in the ability to predict 2-
month sputum smear status.
The relationships between those radiological findings which were
independently predictive of 2-month outcome (cavitation and
percentage of lung affected) and baseline clinical and
bacteriological measures were then examined. Cavitary disease on
CXR at TB diagnosis was significantly associated with higher
baseline AFB density in sputum (i.e. smear microscopy grade)
(p=0.007, test for trend), and people with cavitary disease had
worse lung function, with a mean percent predicted FEV1 of 59.0
(95% CI 54.4-63.6) in cavitary disease versus 68.7 (95% CI 60.6-
76.7) in non-cavitary disease. People with cavitary disease had
slightly lower BMI (18.5, 95% CI 18.0-19.1) compared to those with
non-cavitary disease (19.2 kg/m2, 95% CI 18.5-20.0), but this
difference was not statistically significantly. No significant
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associations were identified between cavitary disease and exercise
tolerance (6-minute walk distance), quality of life (SGRQ total or
individual domain scores) or haemoglobin.
Amount (%) of lung affected significantly predicted all clinical
and laboratory variables. Specifically, greater proportions of
affected lung were significantly associated with decreasing BMI
category (p=0.002, Kruskal-Wallis test), lung function category
(p=0.0005, Kruskal-Wallis test), 6-minute walk distance (0=0.001,
linear regression) and haemoglobin in males (p=0.003, linear
regression), although not in females (p=0.4). Greater proportion
of lung affected on the baseline CXR was also significantly
associated with SGRQ total scores (p<0.0005, linear regression)
and with sputum smear grade at diagnosis (p=0.0005, Kruskal-Wallis
test).
In the logistic regression model including cavitation and
percentage of lung affected as independent variables, regression
coefficients were 0.03167 for proportion of lung affected and
1.26151 for presence / absence of cavitation, indicating a
relative weighting of 40.27 for cavitation (1.26151 ÷ 0.03167),
thereby generating an equation for the weighted score as follows:
CXR score = proportion of total lung affected (%) + 40 if
cavitation present
CXR score results
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CXR score characteristics are shown in Table 3 and Figures 1 to 4.
Scores did not significantly differ according to sex, ethnicity or
smoking status (p>0.05, 2-sample t-tests), and were not
significantly associated with age in univariate or multivariate
analyses. Mean baseline CXR score in people with unfavourable
(smear positive sputum) 2-month outcomes was significantly higher
(88.2; 95% CI 76.5-99.9) than those with a favourable outcome
(56.8; 95% CI 49.7-64.0), but the range of scores in each smear
grade was wide (Figure 1). Scores were also significantly
associated with baseline microscopy grade (Figure 1). CXR scores
were inversely related to BMI, FEV1, Hb and 6-minute walk
distance, were directly related to SGRQ total score, and
significantly decreased over time (Figures 2-4).
Performance of score using validation dataset
The weighted score calculated for the new dataset showed similar
characteristics (Table 3), with a median baseline score of 69, no
significant relationship with study participants’ age, sex,
ethnicity or smoking status, a significant decrease over time
(p<0.0005), and significant positive association with baseline
smear grade (p=0.009, Kruskal-Wallis test). The same relationships
as were found in the initial dataset between CXR score and each of
the clinical / laboratory measures (BMI, Hb, FEV1, SGRQ total
score and 6-minute walk distance) were confirmed; these
relationships remained significant when controlling for age,
ethnicity, sex, gender, smoking status, HIV status and presence of
MDR-TB (p<0.05 in univariate and multivariate analyses).
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Using area under the ROC curve as a measure of test accuracy, the
ability of the weighted score to correctly classify 2-month smear
status as positive or negative was assessed in the validation
dataset, and compared with the diagnostic utility of percentage
lung affected alone. Although the areas under the curve were
relatively modest (weighted score: 0.75; percent lung affected:
0.69), that for the weighted score was significantly greater
(p=0.01, test; Figure 3). The optimal cut point for score (value
furthest from the diagonal) was 71, at which value the sensitivity
for predicting a positive sputum smear status at 2 months was 80%
(95% CI 61.4 - 92.3), and specificity 67.7% (95% CI 57.3 - 77.1).
Comparing the CXR score’s ability to predict 2-month smear
positivity with presence/absence of cavitation, the odds ratio was
higher for CXR score of ≥71 (OR 8.0, 95% CI 2.6-23.8) than for
presence of baseline cavitation (OR 5.6, 95% CI 1.8 - 16.8), but
confidence intervals were wide and overlapping.
DISCUSSION
The need for a universal and standard system for reporting CXR in
pulmonary TB is acknowledged.[25] In order to grade CXR severity
and assess radiological treatment response, we have derived a
simple equation from radiographic parameters from adults with
smear positive pulmonary TB that predicts smear positivity at 2
months and provides a single numerical score for each CXR. The
score shows good correlation with baseline bacteriological and
clinical severity markers, and is sensitive to changes over time.
The score performs better than its individual components: it was
significantly better at predicting outcome than was percentage of
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lung affected alone (p=0.01), and was significantly associated
with a broader range of baseline severity measures (body mass
index, haemoglobin, exercise tolerance, and quality of life;
p<0.02 in each instance) than presence of cavitation alone.
Advantages of this method are that CXR assessment does not require
aids, grids or rulers, and it is derived by fitting a statistical
model to data rather than by assigning points based on assumed
relative importance of radiographic pathologies. It has been
validated in a second dataset, and offers a single, standardized
solution where there are currently multiple methods in use (Table
1).
The proportion of lung affected and cavitation feature as the most
important measures in many methods for grading the CXR in TB (Box
1). Cavitation is well-recognised to correlate with bacillary
load.[26, 27] We confirmed the association between cavitation and
bacteriological measures (baseline and 2-month sputum smear
status), and additionally showed cavitary disease to be predictive
of worse lung function. Proportion of lung affected was associated
with both bacteriological and clinical measures.
The low rates of agreement between reporters on CXR findings
identified in this study are not unusual, with only fair or poor
agreement between radiologists and clinicians also being reported
elsewhere.[7, 8] This emphasizes the importance of using simple
rather than complex scores and ensuring individuals allocating CXR
scores participate in continuing education to maximize agreement.
This score is applicable to adult TB patients with smear positive
pulmonary disease, in a setting with relatively low rates of HIV-
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TB co-infection and MDR-TB. Although the score remained valid in
the newer dataset in which HIV-TB co-infection rates were higher,
it requires further evaluation in populations with high HIV
prevalence, in whom CXR findings characteristic of HIV-TB co-
infection (subtle or absent pathology, non-cavitary disease, lower
lobe infiltrates, hilar lymphadenopathy and pleural effusion)[5,
28] may mean that a differently-weighted score is needed.
The presence of MDR-TB would not be expected to alter radiographic
patterns, other than being associated potentially with higher
scores and smaller incremental improvements over time. Potential
limitations of the study include the use of 2 month smear status
as an outcome measure (rather than a longer-term measure such as
6-month outcome or recurrence) and the inherent problem of limited
inter-rater agreement CXR assessment.
CONCLUSION
In summary, we have derived a simple method for grading CXR
severity in adults with smear-positive pulmonary TB that predicts
baseline clinical and microbiological severity and response to
therapy. This method can be used where a numerical score is
required for the purpose of comparing radiographic severity
between adults with smear positive pulmonary TB, and to monitor an
individual’s improvement over time, such as in clinical trials of
drug efficacy in TB. Finer discriminatory accuracy might be
achieved by collecting more detailed CXR findings (such as cavity
size), although our data did not indicate this. Further validation
of this score is required in other populations, in particular
those with higher HIV-TB co-infection rates.
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COMPETING INTERESTS
We have no competing interests to report.
ACKNOWLEDGEMENTS
We greatly thank the following people for their support and
assistance in this research: National Institute of Health Research
and Development, Jakarta, especially Dr Dina Bisara Lolong and Ibu
Meryani Girsang; Timika District Health Authority, especially Dr M
Okoseray, Pak Penias and Pak E Meokbun; Public Health & Malaria
Control (PHMC) and International SOS, including Dr P. Penttinen,
Mr M. Bangs and Dr M. Stone; PHMC laboratory staff especially Pak
Istanto; Pak J Lempoy and other staff at the Timika TB clinic;
Mimika Community Hospital (RSMM), particularly Dr P. Sugiarto; all
clinical and laboratory staff at the NIHRD-MSHR Timika research
program, including Natalia (Surname), Sri Hasmunik, Mbak Yayuk and
G. Bellatrix; Mr R. Lumb and Dr I. Bastian at IMVS.
This study was funded by the Australian Respiratory Council, the
Royal Australasian College of Physicians (Covance award) and a
Wellcome Trust–National Health and Medical Research Council
(NH&MRC) International Collaborative Research Grant. APR, PMK and
NMA are supported by the Australian National Health & Medical
Research Council. The Timika TB research programme is a
collaboration between the National Institute of Health Research
and Development, Jakarta, Indonesia, and the Menzies School of
Health Research, Darwin, Australia.
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TABLES AND FIGURES
Box 1: Early methods for grading the extent of pulmonary tuberculosis
Prophit Tuberculosis Survey 1948[29]
Radiological lesions were classified according to site and number of lung zones out of 6 (right and left upper, mid and lower zones), or 8 (subdividing upper zones into apical and infraclavicular regions). This was a population X-ray screening survey (not confined to confirmed pulmonary TB cases) but is included here, as subsequent scores used similar methods for defining lung zones.
Tuberculosis Chemotherapy Centre, Madras, 1960[1]
Cavitation assessed as extensive, moderate, slight, nil. Extent of lung involvement assessed as (1) Trivial: minimal lesions regarded as inactive; (2)Slight: minimal lesions regarded as active; (3) Limited: > above but < lung volume equivalent to right upper lobe as seen on PA X-ray; (4) Moderate: > above but ≤ lung volume equivalent to one lung; (5) Extensive: > one whole lung; (6) Gross: very extensive bilateral disease.
Number of lung zones occupied by any (including minimal) pathology: as per Prophit survey method.
Follow-up CXR assessed as showing improvement (slight, moderate, considerable or exceptional) or deterioration (slight, moderate or considerable).
Simon, 1966[2]
Cavities assessed according to number and size, wall thickness, cavity location. Extent assessed as per Tuberculosis Chemotherapy Centre method.
National Tuberculosis and Respiratory Disease Association, 1969[3]
(1) Minimal: slight to moderate density, or no visible radiological pathology,without cavitation. Total extent not to exceed the volume equivalent to the area on one side above the second costochondral junction and the spine of the fourth or body of the fifth thoracic vertebra.(2) Moderately advanced: disseminated lesions of slight to moderate density that may extend throughout the total volume of one lung or the equivalent in both lungs; dense and confluent lesions that are limited in extent to one-
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third the volume of one lung; total diameter of cavitation not >4cm.(3) Far advanced: Greater than the above.
Snider et al, 1971 [30]
Numerical score (maximum 18) calculated by dividing each lung into thirds, anddetermining for each third the extent of infiltrate (none, ≤ 1/3 of the zone, >1/3 but <2/3, ≥ 2/3 of zone).
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Table 1: CXR grading methods used in recent TB research
Author Study CXR reporting methodRandomised controlled trialsDiacon et al,
2009[31]
TMC207 safety and efficacy
in MDR-TB
CXR categorized according to
cavitation size (≥2cm
unilaterally, ≥2cm
bilaterally, or <2cm), with
randomisation stratified
according to this.
Dorman et al,
2009[32] and
Burman et al,
2006[33]
Substitution of
moxifloxacin for
ethambutol in drug-
susceptible TB
CXR categorized as with or
without cavitation.
Katiyar et al,
2008[34]
Efficacy of high-dose
isoniazid adjuvant to
second-line therapy in
MDR-TB.
Numerical score calculated by
counting the proportion of 3
x 3 cm squares in a grid
superimposed on a CXR
containing a ‘suspicious
active’ lesion (infiltrate or
consolidation cavitary lesion
or nodule with poorly defined
margins).Benator et al
for the
Tuberculosis
Trials
Consortium,
2002[27]
Efficacy of rifapentine
and isoniazid weekly
versus rifampicin and
isoniazid twice weekly in
HIV-negative drug-
susceptible TB
CXR categorized as with or
without cavitation, and as
unilateral or bilateral
disease.
Observational studiesHeo et al,
2009[14]
Study of predictors of
radiographic improvement
in adults with smear
positive or negative
pulmonary TB
CXR lesions: mass-like,
nodular, fibrotic, cavitary,
linear, or miliary;
categorized as single or
multiple lesions. Extent
assessed by indicating
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percent involvement in each
of four lung zones (right
upper, right lower, left
upper, and left lower), then
averaging these percentages.Mankattitham et
al, 2009[35]
Descriptive study of
characteristics of HIV-
infected TB patients
More than or less than a
third of right or left lung
involved, or abnormalities in
both lungs.Lawson et al,
2008[36]
Descriptive study of
characteristics of adults
with TB +/- HIV
Number of lung zones with
abnormalities (0 to 6);
separate score for cavities
(0=no cavities, 1=<2cm, 2 if
2-4cm, 3 if >4cm).Idh et al,
2008[37]
Investigation of exhaled
nitric oxide levels in
people with TB +/- HIV
Semi quantitative scale from
0 (normal) to 3 (far advanced
tuberculosis) based on
National Tuberculosis
Association of the USA systemThorson et al,
2007[38]
Study of CXR findings in
relation to gender and
symptoms
Miliary pattern, pleuritis,
adenopathy, cavitation,
calcification, fibrosis or a
combination of these.Liam et al,
1998[39]
Investigation of
hypercalcaemia in TB in
relation to radiographic
disease extent
Graded 1 to 6 based on the
method described by Simon.[2]
Box 2: Sources of CXR inaccuracy[2, 12]
20
Observer erroro Failing to see lesiono Misinterpretation of lesion
Radiograph failing to show the lesiono Lesion invisible in standard postero-anterior film:
2-dimensional chest x-rays conceal an estimated20%–30% of the lung field because of overlappingstructures
o Lesion invisible due to poor film quality(incorrect patient positioning, incorrect densityor contrast of the film)
Draft xray manuscript Dec 15 2009
Table 2: Study participant characteristics
Training dataset Validation dataset
Demographic detailsNumber 115 139Age in years: median
(range)
30 (17 – 69) 27 (15 – 65)
Female gender: no. (%) 33 (28.7) 48 (34.5)Papuan ethnicity: no. (%) 57 (49.6) 66 (47.5)Smokers: n. (%) 38 (33.0) 41 (29.5)HIV positive: no. /
no.tested (%)
5/112 (4.5) 16/121 (13.2)
MDR-TB: no. (%) 2 (1.7) 2 (1.4)Baseline clinical findingsBMI: median (range) kg/m2 18.6 (14.2 – 25.2) 19.0 (12.9 – 32.5)
Haemoglobin: median
(range) g/dL
11.2 (6.8 - 18.0) 12.2 (7.1 – 16.0)
FEV1: median (range) L 1.76 (0.49 – 4.12) 1.70 (0.59 – 3.56)SGRQ total score: median
(range)
45.3 (2.5 – 83.5) 37.8 (5.2 – 91.9)
6 minute walk distance:
median (range) m
405 (185 - 625) 410 (20 – 612)
Sputum AFB smear grade at diagnosis n (%)
0* 6 (5.7) 10 (7.2)Scanty or 1+ 25 (23.6) 65 (45.7)2+ 28 (26.4) 35 (25.2)3+ 47 (44.3) 29 (20.9)2-month smear status n (%)
Positive 25 (21.8) 31 (22.3)Negative 81 (70.4) 95 (68.4)No result available 9 (7.8) 13 (9.3)6-month outcome n (%)
Cured / Completed 88 (76.5) 92 (66.2)Died 3 (2.6) 2 (1.4)Failed 2 (1.7) 1 (0.7)
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Default 13 (11.3) 8 (5.8)Transferred 9 (7.8) 6 (4.3)6 months not yet
completed
0 30 (21.6)
* All study participants had at least 2 prior smear positive sputum samples; some are reported as negative since this result pertains to the additional spot specimen provided at enrolment into the study (see Methods).
Table 3: Chest radiograph results
Training dataset Validation dataset
Number of CXR available for report
Baseline 112 1362 months 76 936 months 76 76*
Baseline radiological findings
Consolidation: no. (%) 106 (94.6) 104 (76.5)Cavitation: no. (%) 71 (63.4) 77 (56.6)Effusion: no. (%) 37 (33.0) 24 (17.3)Miliary: no. (%) 2 (1.7) 5 (3.7)Nodules: no. (%) 83 (72.2) 29 (21.3)Fibrosis: no. (%) 62 (55.3) 10 (7.4)Proportion of lung affected: median
% (range)
35 (0-100) 41.5 (0-100)
CXR weighted score characteristics
Baseline score: median (range) 65 (5-130) 69 (0-140)2 month score: median (range) 35 (0-130) 29 (0-140)6 month score: median (range) 10 (0 – 105) 10 (0-115)
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Median score decrease in 2 months: % 27.3 38.8Median score decrease in 6 months: % 73.1 80.2
Baseline score by smear grade at diagnosis median (range)
0 15 (0.5 – 70) 10 (0-133)Scanty or 1+ 50 (0 – 110) 66 (0-140)2+ 70 (6.5 – 135) 76 (11-140)3+ 80 (10-140) 85 (4-140)
*30 patients still under follow up
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Figure 1: Chest x-ray score at enrolment according to sputum AFB grade at diagnosis and 2 months
*p<0.00005 calculated using one-way analysis of variance for sputum grade at diagnosis; p<0.00005 calculated using 2-sample t-test for sputum status at 2 months. Bars represent mean score.
Figure 2: CXR score according to BMI, percent of predicted FEV1 and haemoglobin at diagnosis
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*All p values calculated from one-way analyses of variance. Bars represent mean score.
Figure 3: CXR score according to SGRQ total score and 6 minute walk distance at TB diagnosis
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*Both p values calculated using one-way analyses of variance. Bars represent mean score.
Figure 4: CXR score at diagnosis, 8 weeks (end of intensive treatment phase) and24 weeks (end of treatment)
Bars represent median CXR scores. Scores decreased significantly over time (p=0.0001 forboth datasets values calculated using Kruskal-Wallis tests of scores by week).
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Figure 5: Receiver-operator characteristics for weighted X-ray score (% lung affected + 40 if cavitation present) (solid red line) compared with percent of lung affected (dashed blue line) as predictors of 2-month smear status (positiveor negative). Optimal cut-point for score (circle) = 71.
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0.00
0.25
0.50
0.75
1.00
Sensitivity
0.00 0.25 0.50 0.75 1.001-Specificity
% Lung affected RO C area: 0.6867CXR Score RO C area: 0.7471
ReferenceOptim al cut-point
REFERENCES
1. Tuberculosis Chemotherapy Centre Madras. A concurrent comparison of isoniazid plus PAS with three regimens of isoniazid alone in the domiciliary treatment of pulmonary tuberculosis in South India. Bull World Health Org. 1960;23(535-585).2. Simon G. Radiology in epidemiological studies and some therapeutic trials. Br Med J 1966;2(5512):491-4.3. Falk A, O'Connor J, Pratt P. Classification of pulmonary tuberculosis. In: Falk A, O'Connor JB, Pratt, PC, Webb JA, Weir JA, Wolinsky EE eds. Diagnostic standards and classification of tuberculosis, Vol 12. Ne York, NY: National Tuberculosis and Respiratory Disease Association; 1969.4. Andreu J, Caceres J, Pallisa E, Martinez-Rodriguez M. Radiological manifestations of pulmonary tuberculosis. Eur J Radiol. 2004 Aug;51(2):139-49.5. Raviglione MC, Narain JP, Kochi A. HIV-associated tuberculosis in developing countries: clinical features, diagnosis, and treatment. Bull World Health Organ. 1992;70(4):515-26.6. Marais BJ, Gie RP, Schaaf HS, et al. A proposed radiological classification of childhood intra-thoracic tuberculosis. Pediatr Radiol. 2004 Nov;34(11):886-94.
29
Draft xray manuscript Dec 15 2009
7. Balabanova Y, Coker R, Fedorin I, et al. Variability in interpretation of chest radiographs among Russian clinicians and implications for screening programmes: observational study. Bmj. 2005 Aug 13;331(7513):379-82.8. Zellweger JP, Heinzer R, Touray M, Vidondo B, Altpeter E. Intra-observer and overall agreement in the radiological assessment of tuberculosis. Int J Tuberc Lung Dis. 2006 Oct;10(10):1123-6.9. Gatner EM, Burkhardt KR. Correlation of the results of X-ray and sputum culture in tuberculosis prevalence surveys. Tubercle. 1980 Mar;61(1):27-31.10. den Boon S, White NW, van Lill SW, et al. An evaluation of symptom and chest radiographic screening in tuberculosis prevalence surveys. Int J Tuberc Lung Dis. 2006 Aug;10(8):876-82.11. Linh NN, Marks GB, Crawford AB. Radiographic predictors of subsequent reactivation of tuberculosis. Int J Tuberc Lung Dis. 2007 Oct;11(10):1136-42.12. World Health Organisation. Assessing tuberculosis prevalence through population-based surveys. 2007 [cited October 2009]; Available from: http://www.wpro.who.int/publications/PUB_978+92+9061+314+5.htm13. Plit ML, Anderson R, Van Rensburg CE, et al. Influence of antimicrobial chemotherapy on spirometric parameters and pro-inflammatory indices in severe pulmonary tuberculosis. Eur Respir J. 1998 Aug;12(2):351-6.14. Heo EY, Chun EJ, Lee CH, et al. Radiographic improvement and its predictors in patients with pulmonary tuberculosis. Int J Infect Dis. 2009 Mar 26:epub ahead of print.15. Ardian M, Meokbun E, Siburian L, et al. A public-private partnership for TB control in Timika, Papua Province, Indonesia. Int J Tuberc Lung Dis. 2007 Oct;11(10):1101-7.16. Kelly PM, Ardian M, Waramori G, et al. A community-based TB drug susceptibility study in Mimika District, Papua Province, Indonesia. Int J Tuberc Lung Dis. 2006 Feb;10(2):167-71.17. Maguire GP, Anstey NM, Ardian M, et al. Pulmonary tuberculosis, impaired lung function, disability and quality of life in a high-burden setting. Int J Tuberc Lung Dis. 2009 Dec;13(12):1500-6.18. Jones PW, Quirk FH, Baveystock CM, Littlejohns P. A self-complete measure of health status for chronic airflow limitation. The St. George's Respiratory Questionnaire. Am Rev Respir Dis. 1992 Jun;145(6):1321-7.19. World Health Organization. Management of severe malnutrition:a manual for physicians and other senior health workers. 1999
30
Draft xray manuscript Dec 15 2009
[cited December 2009]; Available from: http://whqlibdoc.who.int/hq/1999/a57361.pdf20. Pellegrino R, Viegi G, Brusasco V, et al. Interpretative strategies for lung function tests. Eur Respir J. 2005 Nov;26(5):948-68.21. World Health Organization. Treatment of tuberculosis: guidelines for national programmes. WHO/CDS/TB/2003.313; 2003.22. Wang JY, Lee LN, Yu CJ, Chien YJ, Yang PC. Factors influencing time to smear conversion in patients with smear-positive pulmonary tuberculosis. Respirology. 2009 Jul 30.23. Rieder HL. Sputum smear conversion during directly observed treatment for tuberculosis. Tuber Lung Dis. 1996 Apr;77(2):124-9.24. Ramarokoto H, Randriamiharisoa H, Rakotoarisaonina A, et al. Bacteriological follow-up of tuberculosis treatment: a comparativestudy of smear microscopy and culture results at the second month of treatment. Int J Tuberc Lung Dis. 2002 Oct;6(10):909-12.25. Daley. C. Chest radiography in the diagnosis of tuberculosis:specificity and accuracy. 39th World Conference on Lung Health ofthe International Union Against TB and Lung Disease; 2008; Paris, France, 16-20 October 2008.26. Palaci M, Dietze R, Hadad DJ, et al. Cavitary disease and quantitative sputum bacillary load in cases of pulmonary tuberculosis. J Clin Microbiol. 2007 Dec;45(12):4064-6.27. Benator D, Bhattacharya M, Bozeman L, et al. Rifapentine and isoniazid once a week versus rifampicin and isoniazid twice a weekfor treatment of drug-susceptible pulmonary tuberculosis in HIV-negative patients: a randomised clinical trial. Lancet. 2002 Aug 17;360(9332):528-34.28. Aderaye G, Bruchfeld J, Assefa G, et al. The relationship between disease pattern and disease burden by chest radiography, M. tuberculosis Load, and HIV status in patients with pulmonary tuberculosis in Addis Ababa. Infection. 2004 Dec;32(6):333-8.29. Daniels M, Ridehalagh F, Springett V, Hall I. Tuberculosis inyoung adults. Report on the Prophit Tuberculosis Survey 1935-1944.London: H.K Lewis and Co Ltd; 1948.30. Snider GL, Doctor L, Demas TA, Shaw AR. Obstructive airway disease in patients with treated pulmonary tuberculosis. Am Rev Respir Dis. 1971 May;103(5):625-40.31. Diacon AH, Pym A, Grobusch M, et al. The diarylquinoline TMC207 for multidrug-resistant tuberculosis. N Engl J Med. 2009 Jun 4;360(23):2397-405.32. Dorman SE, Johnson JL, Goldberg S, et al. Substitution of moxifloxacin for isoniazid during intensive phase treatment of
31
Draft xray manuscript Dec 15 2009
pulmonary tuberculosis. Am J Respir Crit Care Med. 2009 Aug 1;180(3):273-80.33. Burman WJ, Goldberg S, Johnson JL, et al. Moxifloxacin versusethambutol in the first 2 months of treatment for pulmonary tuberculosis. Am J Respir Crit Care Med. 2006 Aug 1;174(3):331-8.34. Katiyar SK, Bihari S, Prakash S, Mamtani M, Kulkarni H. A randomised controlled trial of high-dose isoniazid adjuvant therapy for multidrug-resistant tuberculosis. Int J Tuberc Lung Dis. 2008 Feb;12(2):139-45.35. Mankatittham W, Likanonsakul S, Thawornwan U, et al. Characteristics of HIV-infected tuberculosis patients in Thailand.Southeast Asian J Trop Med Public Health. 2009 Jan;40(1):93-103.36. Lawson L, Yassin MA, Thacher TD, et al. Clinical presentationof adults with pulmonary tuberculosis with and without HIV infection in Nigeria. Scand J Infect Dis. 2008;40(1):30-5.37. Idh J, Westman A, Elias D, et al. Nitric oxide production in the exhaled air of patients with pulmonary tuberculosis in relation to HIV co-infection. BMC Infect Dis. 2008;8:146.38. Thorson A, Long NH, Larsson LO. Chest X-ray findings in relation to gender and symptoms: a study of patients with smear positive tuberculosis in Vietnam. Scand J Infect Dis. 2007;39(1):33-7.39. Liam CK, Lim KH, Srinivas P, Poi PJ. Hypercalcaemia in patients with newly diagnosed tuberculosis in Malaysia. Int J Tuberc Lung Dis. 1998 Oct;2(10):818-23.
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