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Global Tuberculosis Control 2010 - Florida Department of Health

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the estimated number <strong>of</strong> incident cases that occurred in<br />

the same year.<br />

Estimates <strong>of</strong> the incidence <strong>of</strong> sputum smear-positive<br />

pulmonary TB and the related CDR for these cases are<br />

not published in this report. There are several reasons<br />

for this, which are summarized in the main part <strong>of</strong> the<br />

report ( ). Among the reasons noted in this box<br />

are the findings and associated recommendations from<br />

the 18-month expert review <strong>of</strong> methods used to estimate<br />

disease burden described in above, and<br />

associated updates to methods used to estimate disease<br />

burden that have been applied in a series <strong>of</strong> regional<br />

workshops and country missions (). A fuller<br />

explanation is provided here.<br />

In regional workshops and country missions, the<br />

starting point for estimates <strong>of</strong> the incidence <strong>of</strong> TB was<br />

an estimate <strong>of</strong> the CDR for all forms <strong>of</strong> TB. This was<br />

because, for many countries, estimates <strong>of</strong> the incidence<br />

<strong>of</strong> all forms <strong>of</strong> TB are used to produce indirect estimates<br />

<strong>of</strong> TB mortality and TB prevalence (these do not require<br />

estimates <strong>of</strong> the CDR for smear-positive TB).<br />

The incidence <strong>of</strong> sputum smear-positive pulmonary<br />

TB can theoretically be estimated by multiplying the<br />

incidence <strong>of</strong> all forms <strong>of</strong> TB by the estimated proportion<br />

<strong>of</strong> all incident cases <strong>of</strong> TB that have sputum smear-positive<br />

pulmonary TB. The CDR for sputum smear-positive<br />

pulmonary TB would then be estimated by dividing<br />

reported notifications <strong>of</strong> sputum smear-positive cases<br />

<strong>of</strong> pulmonary TB by the estimated incidence <strong>of</strong> sputum<br />

smear-positive pulmonary TB. This approach was used<br />

in global reports published up to December 2009. Subsequently,<br />

the findings <strong>of</strong> one <strong>of</strong> the systematic reviews<br />

conducted by the expert group have cast doubts on this<br />

approach. A systematic review <strong>of</strong> the evidence about the<br />

proportion <strong>of</strong> TB cases that have sputum smear-positive<br />

pulmonary TB found considerable uncertainty around<br />

the best estimate <strong>of</strong> this proportion. 1<br />

It may appear that an alternative method is to assume<br />

that, for any given country, the proportion <strong>of</strong> all incident<br />

cases with sputum smear-positive pulmonary TB<br />

is equal to the proportion <strong>of</strong> all notified cases that had<br />

smear-positive pulmonary TB in the region <strong>of</strong> reference<br />

(this could be an epidemiologically-defined region or a<br />

WHO region, for example). However, use <strong>of</strong> this method<br />

will mean that, for many countries, changes in the estimated<br />

CDR for sputum smear-positive pulmonary TB<br />

will occur from one year to the next simply because <strong>of</strong><br />

a change in the share <strong>of</strong> regional notifications that are<br />

smear-positive, without any real change in the level <strong>of</strong><br />

case detection in the country itself (since a change in the<br />

regional proportion will cause the estimated incidence<br />

<strong>of</strong> smear-positive TB in a given country, the denominator<br />

<strong>of</strong> the CDR, to go up and down even when the country’s<br />

notifications are stable). This is wrong and likely to<br />

cause confusion.<br />

Another alternative is to assume that, in any given<br />

country, the proportion <strong>of</strong> sputum smear-positive cases<br />

<strong>of</strong> pulmonary TB among all notified cases reflects the<br />

true proportion <strong>of</strong> sputum smear-positive TB among<br />

incident cases <strong>of</strong> TB in the country. In this case, the estimated<br />

CDR for all forms <strong>of</strong> TB and the estimated CDR<br />

for sputum smear-positive cases are the same.<br />

If needed for reporting purposes, it is suggested that<br />

the CDR for smear-positive TB is assumed to be similar<br />

to the CDR for all forms <strong>of</strong> TB.<br />

<br />

<br />

The prevalence <strong>of</strong> HIV among incident cases <strong>of</strong> TB was<br />

directly estimated from country-specific and empirical<br />

data wherever possible. For the estimates published in<br />

this report, suitable data (as defined in ) were<br />

available for a total <strong>of</strong> 440 country-year data points, up<br />

from 288 country-year data points in the previous year<br />

(for details <strong>of</strong> the source <strong>of</strong> data used for each country,<br />

please see the ).<br />

For the 3785 country-year data points for which surveillance<br />

data were either not available or for which the percentage<br />

<strong>of</strong> TB patients tested for HIV was below 50%,<br />

<br />

<br />

<br />

<br />

<br />

<br />

<br />

<br />

<br />

<br />

<br />

<br />

<br />

<br />

<br />

the prevalence <strong>of</strong> HIV was estimated indirectly according<br />

to the following equation:<br />

t =<br />

hρ<br />

l + h(ρ – l)<br />

In this equation, t is HIV prevalence among incident TB<br />

cases, h is HIV prevalence among the general population<br />

(from the latest time-series provided by UNAIDS) and ρ<br />

is the incidence rate ratio (IRR) (defined as the incidence<br />

rate <strong>of</strong> TB in HIV-positive people divided by the incidence<br />

rate <strong>of</strong> TB in HIV-negative people). 2 To estimate<br />

ρ from empirical data (that is, from countries that have<br />

an empirical estimate <strong>of</strong> both t and h), the equation was<br />

rearranged as follows:<br />

ρ =<br />

t(l – h)<br />

h(l – t)<br />

We then let logit(t) be log(t/(1-t)) and logit(h) be log(h/<br />

(1-h)). Using data from countries where HIV prevalence<br />

1<br />

Research Institute <strong>of</strong> <strong>Tuberculosis</strong>, Tokyo <strong>2010</strong> (data not shown).<br />

2<br />

Data on HIV prevalence in the general population are unpublished<br />

data provided to WHO by UNAIDS.

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