CARDIOVASCULAR JOURNAL OF AFRICA • Volume 28, No 4, July/August 2017
AFRICA
227
(partially occlusive thrombus) in the right middle lobe of the
lung (
p
=
0.045). We have no specific reasons to account for this
difference.
In our study, the severity of PE was quantified using the
Qanadli score and two cardiovascular parameters, namely the
ratios of RV:LV diameter and PA:AO, all of which can be used to
indicate right ventricular dysfunction. Right ventricular dilatation
is important in the risk stratification of patients, especially in the
suspected high-risk PE patient. The presence of right ventricular
overload guides the clinician to immediate PE-specific treatment,
such as thrombolysis, surgical embolectomy or catheter-directed
treatment where available.
10
In addition, right ventricular dysfunction is used to identify
patients with a high likelihood of fatal pulmonary embolism.
10
In the study by Qanadli
et al
. in 2001, a CT obstruction of
40% and greater predicted and identified more than 90% of
their patients with right ventricular dilatation.
12
The degree of
obstruction in their study was considered the most important
factor in determining right ventricular response to PE. In our
study we found no statistically significant differences between
HIV-positive and -negative groups in terms of severity of the
Qanadli score or with regard to the RV:LV and PA:AO ratios.
The most common CTPA-detectable parenchymal and pleural
complications reported in association with PE are as follows:
atelectasis in from 55
17
to 71%
18
of patients,consolidation in 39%,
17
wedge-shaped opacity in 31%,
17
ground-glass opacity 43%,
17
and
pleural effusion in more than 50% of patients.
18
In comparison,
our data showed a higher frequency of consolidation, atelectasis
and ground-glass opacification (atelectasis 52%, consolidation
61%, wedge-shaped opacity 15%, ground-glass opacity 48%
and pleural effusion 42%). In the HIV-infected patients, the
frequency of consolidation (68%), wedge-shaped opacity (18%),
and pleural effusion (45%) was higher when compared with
HIV-uninfected patients but there were no statistically significant
associations between HIV status of the patient and the presence
of any of the complications.
Limitations
The data were collected from patients attending a regional
hospital in the Western Cape, which has a high incidence of
both TB and HIV.
14
The sample was dominated by HIV-infected
patients (68% in the proportion tested). A large number of
patients were excluded (103) because of missing information,
and a further 45 patients could not be considered for comparing
HIV-infected and uninfected patients because testing had not
been done. This resulted in a sample size that was statistically
small and may have accounted for the low/poor correlations of
prevalence across the various groups of TB and HIV-infected
and non-infected patients.
In addition, the reading of the scans by a single radiologist is
a limitation, and did not allow for evaluation of inter-observer
error in this study. The shortage of radiologist consultants at the
public institutions and the workload on the existing consultants
restricts the availability of senior staff for research purposes.
Conclusion
This study provides a foundation for additional studies to be
performed regarding thromboembolism in HIV, particularly in
Africa, as this information is extremely limited. The high number
of patients presenting for CTPAwho were HIV infected (and also
infected with TB) highlights that PE evaluation should include
severity/extent of the disease, as these patients may have more
severe disease in specific lobes. The use of a validated scoring
system such as the Qanadli score when reporting PE may have
a profound effect on patient risk stratification, management,
and prognosis and would also provide a system for collecting
larger volumes of data for analysis. Larger, local studies should
be performed prospectively to evaluate associations between PE,
TB and HIV
The authors acknowledge the contributions of the Statistical Consulting
Service (SCS), Department of Statistical Sciences, University of Cape Town
(consultants: Reshma Kassanjee and Katya Mauff).
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