CARDIOVASCULAR JOURNAL OF AFRICA • Vol 24, No 2, March 2013
AFRICA
21
to 58.3% for Wesfleur Hospital. INR values above 3.5 generally
signify high risks of bleeding. The fact that these high records
were present despite monthly monitoring further underscores the
importance of monitoring of warfarin therapy. It is an indication
that without the hospital facility for monitoring, bleeding
complications would have arisen in many of the patients.
More female patients (68%) were enrolled in the clinics
than males. Considering gender and INR values, female
patients’ responses to warfarin in Wesfleur Hospital suggested
sensitivity, with 61% of them recording at least one INR
above 3.5, compared with 23% in Gugulethu Hospital. While
gender-based conclusions cannot be made based merely on this
observation, several other unreported factors could account for
the higher sensitivity in the female patients. This may include
concomitant use of birth-control pills and differences in the
use of complementary medicines or diets. Differences in body
protein-to-fat ratio may also influence the effective plasma
warfarin concentration in men and women, with the resultant
differences in sensitivity.
Discussion
There appeared to be differences in INR values along age and
racial classification. About 64% of Coloured patients above
the age of 40 years had INRs above 3.5 in Wesfleur Hospital,
whereas in Gugulethu, only 33% of black patients in same age
group had a record of at least one INR above 3.5. Although,
no study has reported ethnic/genotype variations in warfarin
response between Coloured and black people in South Africa, the
body of evidence supporting genetic factors as a key influence
on the response to warfarin therapy is increasing.
Scott and co-workers
26
investigated the genetic influence on
the inter-individual warfarin dose variability among various
racial groups. The results revealed significant variation in the
genetic expression of CYP2C9, VKORC1 and CYP4F2 in
different ethnic groups. The study identified this variation as
a major reason why current genotype-guided warfarin dosing
algorithms in America may not yield similar results in all
ethnic groups. In another study, age, body size and CYP2C9
genotype were found to be crucial determinants of warfarin dose
requirements in different racial and ethnic groups.
27
Earlier findings have shown evidence of the influence of
several genes on the response to warfarin therapy, particularly the
polymorphisms in CYP2C9 and VKORC1.
28
These studies have
consistently revealed that such genetic influence is less common
in African–Americans compared to European–Americans and
Asians.
29
The recent report of a new genetic variant in VKORC1
among African–American populations, supported by various
other warfarin pharmacogenetic studies, suggests a different
warfarin maintenance dosing requirement based on genetic
composition.
30-33
Seventy-two per cent of patients with a body weight above 70
kg and 55% below 70 kg in Wesfleur Hospital had an INR above
3.5. In Gugulethu Hospital, 35.7% of those who weighed more
than 70 kg and 33.3% of those who weighed less than 70 kg had
records of an INR above 3.5. This underscores the absence of
weight as a factor in the fluctuation of INR values.
High body weight is an important risk factor of the indications
for warfarin therapy in patients with cardiovascular disorders.
The pharmacokinetic disposition and activity of warfarin may be
influenced by body weight. The effects of weight may therefore
be a necessary consideration in the attainment of a stable INR in
warfarinised patients.
When the concurrent chronic diseases of patients attending
the warfarin clinics were evaluated, hypertension was the most
common disease in both hospitals (57.9% in Wesfleur and 51.4%
in Gugulethu Hospital). Hypertension is a chronic lifestyle-
related disease with body weight and genetic factors as main
risk factors. The maintenance of INR values within an acceptable
therapeutic range will be particularly taxing in patients with
hypertension and other cardiovascular disorders. In addition to
the effects of the cardiovascular medications, fluctuations in
cardiac function, such as cardiac output and peripheral vascular
resistance may play a significant role in the body distribution of
and sensitivity to warfarin.
Hypertension may therefore play a significant role in the
warfarin response in these patients. Long-standing hypertension
is associated with complications such as atrial fibrillation.
This is reflected in the data, as atrial fibrillation was the most
common clinical indication for the initiation of warfarin therapy
at Wesfleur Hospital (47%), and the second most common
indication (39%) in Gugulethu Hospital (Table 2).
Concurrent medications that were commonly prescribed
for patients on warfarin therapy were antibiotics, especially
fluoroquinolones, beta-lactams and metronidazole; non-steroidal
anti-inflammatory drugs; paracetamol; and anti-ulcer drugs
(Table 3). Quinolones were prescribed at only Wesfleur Hospital,
and an elevated INR above the cut-off value of 3.5 was recorded
in all the patients concerned in the month that these drugs were
taken concurrently.
A similar occurrence was observed with beta-lactams in both
hospitals; 71.4% of patients treated with these antibiotics had
INR values above 3.5. The effects of broad-spectrum antibiotics
on the vitamin K-producing gastrointestinal microflora can
potentiate the anticoagulant effects of warfarin. This may
explain the observation of elevated INR in warfarinised patients
on concomitant antibiotic therapy. In addition, quinolones are
TABLE 2. INDICATIONS FORWARFARIN THERAPY FOR
PATIENTS FROMWESFLEURAND GUGULETHU HOSPITALS
(SOME PATIENTS HAD MULTIPLE INDICATIONS)
Indication
Wesfleur (%)
Gugulethu (%)
Myocardial infarction
0.3
0
Valve replacement
31
39
Mixed valve disease
35
42
Atrial fibrillation
47
39
Thrombosis/embolism
24
6
TABLE 3. COMPARISON OF DATA FOR CONCURRENT
MEDICATION PRESCRIBEDVS INR IN PATIENTSAT FOR
PATIENTS FROMWESFLEURAND GUGULETHU HOSPITALS
Wesfleur
Gugulethu
Medications
INR
>
3.5 INR
<
3.5 INR
>
3.5 INR
<
3.5
Quinolones
7
0
0
0
Beta-lactams
9
3
1
1
Metronidazole
3
1
1
1
NSAIDs
1
1
1
0
Paracetamol
6
8
3
0
Anti-ulcer drugs
3
3
0
1