Philip Morris
Risk Factors Associated with the Development of Peripheral Arterial Disease in Smokers: A Case-Control Study
Fields
- Author
- Edwards, R.J.
- Franks, P.J.
- Greenhalgh, R.M.
- Poulter, N.R.
- Powell, J.T.
- Worrell, P.C.
- Franks, P.J.
- Type
- PSCI, PUBLICATION SCIENTIFIC
- BIBL, BIBLIOGRAPHY
- Area
- CARCHMAN,RICHARD/OFFICE
- Litigation
- Iwoh/Produced
- Characteristic
- EXTR, EXTRA
- MARG, MARGINALIA
- Site
- R530
- Named Organization
- Atherosclerosis
- British Heart Foundation
- Tobacco Products Research Trust
- Elsevier Science Ireland
- British Heart Foundation
- Author (Organization)
- Atherosclerosis
- Charing Cross + Westminster Medical Scho
- Elsevier Science Ireland
- Uclms
- Charing Cross + Westminster Medical Scho
- Named Person
- Beksinska, M.
- Corrie, I.
- Harris, C.
- Powell, J.T.
- Corrie, I.
- Master ID
- 2063633486/4072
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Document Images
186 NX813 q.1 PONE
ATHEROSCLEROSZS 97
,
(OlELSEVZER 501 IRELAHD LTD ZR
iil
ELSEVIER Atherosclerosis 129 (1997) 41-48 ....
ATH EROSCLEROSIS
Ig
Ig
Risk factors associated with the development of peripheral arterial
disease in smokers: a case-control study
Janet T. PowelP,*, Richard J. Edwards", Phillip C. Worrella, Peter J. Franksa,
Roger M. Greenhalgha, Neil R. Poulter~'b
aDepartment of Surgery, Charing Cross and Westminster Medical School, Fulham Palace Road, London W6
8RF, UK
bDepartment of Epidemiology and Public Health, UCLMS, I-19 Torrington Place, London WCIE 6BT, UK
Received 4 June 1996; revised 9 October 1996; accepted 4 November 1996
lt_ l
Abstract
Purpose and method: A hospital based case-control study was designed to investigate what aspects
of smoking and what
co-factors of smoking are associated with the development of peripheral arterial disease (PAD).
Cases were 291 smokers, newly
referred with PAD, and controls were 828 age and sex matched smokers without PAD. Results: Reported
recent tobacco usage
was similar in cases and controls but total tobacco exposure was associated with the risk of
PAD--adjusted odds ratios (ORs)
increasing with tertile of pack-years smoked to reach 1.63 (95% CI, 1.11-2.39; P = 0.011), for the
highest tertile ( > 48 pack-years)
compared with smokers in the lowest tertile (< 31 pack-years). Cases reported smoking significantly
lower tar and nicotine yield
cigarettes than controls, but tended to inhale more deeply, and had significantly higher plasma
concentrations of cotinine. ORs
for PAD were significantly and independently increased by systolic blood pressure > 160 mmHg (8.1
(5.2-13.0); P < 0.0001),
history of hypertension (2.4 (1.5-3.2); P = 0.0003) and apolipoprotein B > 0.9 g/1(3.8 (2.3-7.6); P
- 0.008). Conclusions: Increased
total exposure to tobacco and the ability to smoke tobacco in a way which maximises nicotine yield
are associated with increased
risk of smokers developing PAD. There is no evidence that smoking low tar cigarettes reduces this
risk, whereas both hypertension
(particularly systolic) and high levels of apolipoprotein B, increase this risk. © 1997 Elsevier
Science Ireland Ltd.
Keywords: Peripheral atheros~lerosis; Smoking; Low tar cigarettes; Apolipoprotein B; Systolic
hypertension
1. Introduction
Smoking has been identified consistently as the major
risk factor for the development of peripheral arterial
disease (PAD), and over 90% of patients with symp-
tomatic PAD having a chronic smoking history [1-4].
Nevertheless the importance of other cardiovascular
risk factors, genetic background or the particular facets
of the smoking habit that differentiate those smokers
who do and do not develop PAD is not clearly estab-
lished. Reported data concerning systolic and diastolic
blood pressure (BP), glucose intolerance and lipids, as
*Corresponding author. Tel: +44 181 8467312; fax: +44 181
8467330.
risk factors for PAD, are inconsistent, although the
data concerning diabetes and plasma fibrinogen are
more consistent [4]. However the effect of smoking to
increase plasma fibrinogen concentrations varies ac-
cording to particular fibrinogen genotypes [5] and it is
also possible that the dietary modifications associated
with smoking influence the development of cardiovas-
cular disease [6]. Although there is consistent evidence
that the risk of developing lung cancer is directly re-
lated to the tar yield of cigarettes [7,8], the evidence
linking tar yields to the development of cardiovascular
disease is limited and controversial [9-12].
Since more than 30% of adults over 40 years of age
smoke and therefore are potentially at risk of develop-
ing PAD [13], it is important to try to identify what
0021-9150,97/517.00 ~ 1997 Elsevier Science Ireland Ltd. All rights reserved.
PII S0021-91 50( 96106012-I

42
J.T. Powell et al. / Atherosclerosis 129 (1997) 41-48
co-factors determine the development of symptomatic
PAD. Therefore the present case-control study was
designed to compare the prevalence of details of smok-
ing habit and various cardiovascular risk factors in two
populations of smokers, those with symptoms of PAD
referred for diagnosis and surgical opinion (cases) and
other hospital patients without symptomatic PAD (con-
trols).
2. Subjects and methods
Cases comprised consecutive new referrals to the
Vascular Surgical Service at Chafing Cross Hospital for
evaluation of presumed PAD, who reported smoking in
:the previous 4 weeks (current smokers). Between 1988
and the end of 1992 there were 654 new referrals of
whom 35 (5%) had never smoked, 289 (44%) had
stopped smoking more than 4 weeks ago and 330 (50%)
were current smokers (potential cases): of these, 319
cases agreed to take part in the study. By means of
systematic screening of suitab!e clinics and wards over
the same period, 961 potential controls who also re-
ported smoking in the previous 4 weeks, were identified,
of whom 899 agreed to take part in the study. Of these,
556 (62%) were recruited from outpatient clinics (ortho-
paedic, ophthalmology, dermatology and urology) at
Charing Cross and St Mary's. Hospitals and 343 (38%)
from Chafing Cross inpatient wards (short-stay, urol-
ogy, general surgery and orthopaedic). Controls were
chosen to ensure that the age-sex distribution broadly
matched that among the cases. All data were recorded
on a study questionnaire which was partly self-adminis-
tered and was not returned by 22 potential cases and 39
controls.
Cases and controls reporting a history of emphysema
or of cancer of the lung, upper respiratory tract, mouth,
lip, stomach, oesophagus or bladder were excluded.
Controls who reported positively to a standard claudi-
cation questionnaire [14] were excluded. Subjects were
not excluded from the study if they refused consent for
a blood sample. Following application of these exclu-
sion criteria 291 cases (192 males) and 828 controls (536
males) remained eligible for inclusion in the study. Of
the 291 cases, 255 (88%) had intermittent claudication
and 36 (12%) had critical ischaemia. Intermittent clau-
dication was defined from the history and Clinical ex-
amination in the presence of an ankle/brachial systolic
pressure index of < 0.8. Critical ischaemia is defined as
either persistently recurring ischaemic rest pain requir-
ing regular adequate analgesia for more than 2 weeks
with an ankle pressure of < 50 mmHg, or ulceration of
the foot or toes, with an ankle systolic pressure of < 50
mmHg [15].
Of the 828 controls 266were recruited from ortho-
paedic outpatients. 116 from urology outpatients, 110
from opthalmology outpatients, 72 from dermatology
outpatients, 142 were in-patients for herniorrhaphy, 83
were urology in-patients and 39 orthopaedic in-pa-
tients.
Past history of diabetes, hypertension and abnormal
blood lipids with details of current medication and a
history of parents or siblings dying from cardiovascular
disease before the age of 60 were recorded in the
questionnaire. For each mode of tobacco use (manufac-
tured cigarettes, rolls-ups, pipes and cigars) subjects
were asked for the age at which they started smoking,
whether they had stopped and when, and maximum
amounts smoked per day between ages 15-30, 31-50,
51 and above and during the last year. Roll-up cigarette
smokers were asked to give amounts smoked per day. as
either number of cigarettes smoked per day or ounces
of tobacco (1/2 ounce of tobacco =20 cigarettes).
Manufactured cigarette smokers were asked for the
length of time they had smoked filter tipped cigarettes
and roll-up cigarette smokers, whether they inserted
filters into their roll-ups. Manufactured cigarette smok-
ers were asked for the exact names of the brands they
had smoked in the previous 5 years and for how long
they had smoked each. Pack years were calculated for
manufactured and roll-up cigarette smokers by multi-
plying duration of smoking by the number of cigarettes
smoked per day divided by 20, for the 3 age bands, and
these values were then added together. Average yields
of tar, carbon monoxide.and nicotine per cigarette were
coded from estimates given by the Laboratory of the
Government Chemist for June 1989. Newer brands
were coded according to later estimates. Cigarette
smokers were asked for usual length of cigarette
smoked (greater than half, about half or less than half)
and usual depth of inhalation (mouth and nose only,
back of throat, lungs moderately or lungs deeply). All
subjects were asked how many times they had smoked
in the previous week, the previous day and on the day
of their interview.
Social class was assessed on the basis of current and
past employment, the subject's last occupation was used
if currently retired or unemployed and spouse's occupa-
tion was used for married or widowed female subjects.
Average weekly exercise output was evaluated and
specific dietary information, including fat and salt in-
take were recorded, using a validated questionnaire
[16].
For the first 500 subjects, heights and weights were
measured but thereafter, only subjects' self-reported
height and weight were available for use in analyses.
Routine clinic pulse and BP readings were recorded.
Non-fasting blood samples were obtained by antecu-
bital venepuncture using EDTA anticoagulated tubes
from 235 cases and 382 controls. Carboxyhaemoglobin
was measured on an IL-282 carboximeter (coefficient of
variation: 3.2%), plasma thiocyanate by an automated

ular
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J.T. Powell et aL/ Atherosclerosis 129 (1997~ 41-48
43
colourimetric assay (coefficient of.variation: 9.5%) [17]
and plasma cotinine by gas liquid chromatography
(coefficient of variation: 18%) [18]. Total cholesterol,
fibrinogen and apolipoprotein (B) were measured as
previously described (coeffic.ients of variation: 2.7, 5.4
and 4.9% respectively) [19]. Apolipoprotein(a) was mea-
sured by radioimmunoassay (Pharmacia, UK) accord-
ing to the manufacturer's instructions (coefficient of
variation: 5.0%).
3. Statistical methods
Analyses were carried out using SPSSx computer
software [20]. To assess the strength of association
between each variable and the disease, odds ratios
(ORs) with 95% CI were calculated. Continuous vari-
ables were categorised into tertiles. All CI for OR's
were calculated using the legit method for large sam-
ples.
Because smoking habit has previously been identified
as the pivotal risk factor for PAD, an initial logistic
regression was conducted to compare different mea-
sures of smoking to determine which was most closely
associated with PAD and hence should be used to
adjust other case-control comparisons. A stepwise
backwards elimination procedure was used (P= 0.10
for terms to drop out of the model). Variables consid-
ered were pack years, age started smoking, inhalation
into the lungs, mode of smoking, and years smoking
filter-tipped cigarettes as a proportion of total years
smoking. Pack years could only be calculated meaning-
fully for manufactured and roll-up cigarette smokers
and hence this analysis (which requires complete data
for each subject) excluded pipe and cigar smokers (n =
24 cases and 105 controls). Pack-years was identified as
the most significant smoking related factor differentiat-
ing cases from controls. Multiple logistic regression was
then used to identify other variables adjusted for age,
sex, diabetes and pack-years history of smoking, associ-
ated with the disease. To evaluate whether continuous
variables were associated in a linear fashion with PAD,
they were categorised into quartiles and log-odds were
.plotted against the median of each quartile. Since no
variables exhibited linear relationships, all continuous
variables were treated in the multiple logistic regression
as unordered categorical variables distributed in tertiles.
4. Results
4. I. General characteristics of cases and controls
The mean ages of cases and controls were 64.8
(interquartile range 58-71) years and 63.7 (interquartile
range 56-71) years, respectively. The mean body mass
index of cases was 24.4 (interquartile range 22-27)
kg/mz compared with 24.0 (interquartile range 22-27)
kg/m2 in controls. A history of diabetes was signifi-
cantly more common among cases than controls (12
versus 5% respectively, P < 0.001). Cases also reported
a history of hypertension and hyperlipidaemia more
frequently than did controls, with 99 cases (34%) re-
porting hypertension compared with 166 controls
(20%), P < 0.001 and 29 cases (10%) reporting hyperlip-
idaemia compared with 30 controls (4%), P < 0.001. In
keeping with the significantly higher reported rates of
hypertension and diabetes, and the presence of PAD
among cases, the use of medications for hypertension
and diabetes, anticoagulants and aspirin was more fre-
quent among cases than controls (data not shown). No
other medications were used differentially by cases and
controls. There was no difference in socioeconomic
class between cases and controls. Almost half (48%) of
cases and controls were in socioeconomic class III, with
28% being in higher social classes in "both groups.
4.2. Smoking habits and their validation by smoking
markers
Levels of risk associated with various aspects of
reported smoking habit are shown in Table 1. Similar
proportions in each group, (about three-qua.rters),
smoked manufactured cigarettes and a further one sixth
smoked hand-rolled cigarettes. The reported number of
cigarettes smoked in the last year was similar in cases
and controls although there was a statistically non-sig-
nificant trend for cases to have started smoking at a
younger age and to have smoked for longer than con-
trols. Hence an increased cumulative pack-year history
was more sighificantly associated with the development
of PAD (P = 0.011) than pack-year history in earlier
years of life (P -- 0.05).
The depth of smoke inhalation tended to be greater
among cases than controls, (P= 0.16). Only half the
women, cases and controls, reported lung inhalation.
Among men the depth of smoke inhalation was greater
among cases than controls (P = 0.009). There were no
significant differences between cases and controls in use
of filtered cigarettes (98% of all those smoking manu-
factured cigarettes) or the amount of cigarette smoked
(more than half the cigarette smoked by 89% of cases
and 86% of controls). Nearly all of the manufactured
cigarette smokers (96%) could provide the name of the
brand used most recently and 88% could remember
what they smoked .5 years ago. The tar and nicotine
yield of manufactured cigarettes derived from the
brands reportedly used by cases were significantly lower
than those used by controls .both at the time of the
interview and 5 years previously (Table 2). During the
5 years before presentation 28% of cases and 25% of
controls had switched cigarette brands. Although a
2063633588

Table l
Tobacco usage
J.T. Powell et al. / Atherosclerosis 129 (1997) 41-48
Cases (n = 291) Controls (n = .828) ORa (95% CI)
Type of tobacco use at interview
Manufactured cigarettes.onls~ 218 (75%)
609 (74%)
Roll-up cigarettes only 49 (17%)
108 (13%)
Pipe only 8 (3%)
48 (6%)
Cigars only 11 (4%)
40 (5%)
Mixture 5 (2%)
17 (2%)
P=0.185
Depth of inhalation
Mouth and nose 53 (18%)
182 (22%) 1.0
Back of throat 49 (17%)
143 (17%) 1.15 (0.73-1.82)
Lungs moderate 128 (44°'4)
324 (39%) 1.43 (0.98-2.11)
Lungs deep 59 (20%)
173 (21%) 1.25 (0.80-1.96)
; 289
822 P = O. 159
bNumber/day (last year)
< 15 97 (36%)
268 (37%) " 1.0
15-24 121 (45%)
297 (4t%) 1.36 .(0.98, 1.90)
25+ 49 (18%)
152 (21%) 1.06 (0.70, 1.63)
267
717 P = 0.522
bAge started (years)
< 16 92 (35°'4)
221 (31%) 1.0
16-19 93 (35°/'0)
235 (33%) 0.94 (0.66, 1.34)
20+ 80 (30%)
253 (36%) 0.75 (0.52, 1.08)
265
709 P ~ 0.119
Years smoked
<40 69 (26%)
224 (34%) 1.0
40-49 101 (38%)
238 (34%) 1.22 (0.79, 1.90)
50+ 95 (36%)
227 (32%) 1.35 (0.77, 2.36)
265
709 P = 0.283
bTotal pack years smoked
<31 72 (27%)
253 (35°,4) '1.0
31-48 86 (32°/'0)
237 (33%) 1.23 (0.84, 1.79)
49+ 107 (40%)
220 (31%) 1.63 (t.11, 2.39)
265
709 P = 0.011
~Pack )'ears smoked before 31 )'ears of age
< 11 79 (30%)
258 (36°'4) 1.0
l 1 - 16 101 (38%)
238 (34%) 1.69 (1.09-2.75)
17 + 85 (32%)
213 (30%) 1.25 (0.76- 2.23)
265
709 P = 0.05
Tabh
I'~~ Ttlr
9
14
Tar
14
.Vic,
.Vic~
OR are adjusted for age and sex, P-values are 2'.2 for trend.
For subjects smoking cigarettes (manufactured or roll-up) at interview, 267 cases, 717 controls.
greater proportion of cases than controls switched to
low tar cigarettes (8% and 3% respectively), this differ-
ence was not significant.
Biochemical smoking markers varied with age, sex
and depth of inhalation. After adjustment for these
factors, there was a tendency for the risk of PAD to be
associated with increased levels of carboxyhaemoglobin
and plasma thiocyanate and a significant association
with increasing concentrations of plasma cotinine (P =
0.006) (Table 2). Since recent cigarette consumption
was similar among cases and controls, the observation
that cases, who reported smoking lower nicotine yield
cigarettes, had increased concentrations of plasma co-
tinine was parad.oxical. The role of recall bias to ex-
plain this paradox was investigated by comparing
reported recent smoking habit with objective smoking
markers in cases and controls. Of subjects who reported
not smoking in the 24 h immediately prior to interview,
9/17 (53%) cases and 5/9 (56%) controls had cotinine
concentrations (tl.2 -~ 18 h) in the range indicative of

J.T. Powell et al. / Atherosclerosis 129 (1997) 41-48
Table 2
Level of tobacco smoke component for cigarette brand and objective markers of smoking among users of
manufactured cigarettes
45
Cases (n = 218) Controls (n = 609) ORa (95% CI)
I. ili
!|
i|
I |
I- il
Tar level (mg/cigarette) current cigarette
<9 78 (38%)
181 (31%) 1.0
9-13 65 (32%)
15I (26%) 1.0I (0.67, 1.52)
14+ 62 (30%)
253 (43%) 0.57 (0.38, 0.86)
205
585 P = 0.005
Tar level (mg/cigarette) cigarette smoked 5 years ago
<9 65 (35%)
168 (31%) 1.0
9-13 50 (27%)
126 (23%) 1.00 (0.69, 1.70)
14+ 69 (38%)
246 (46%) 0.76 (0.50, 1.15)
184
540 P = 0.17
Nicotine level (mg/cigarette) current cigarette
<0.8 52 (25%)
119 (20%) 1.0
0.8-1.1 77 (38%)
181 (31%) 1.01 (0.65, 1.56)
1.2+ 76 (37%)
285 (49%) 0.63 (0.41, 0.97)
205
585 P = 0.017
Nicotine level (mg/cigarette) cigarette smoked 5 years ago
<0.8 65 (35%)
173 (32%) 1.0
0.8-1.1 58 (32%)
135 (25%) 1.08 (0.68, 1.55)
1.2+ 51 (33%)
232 (43%) 0.65 (0.44, 1.06)
184
540 P -- 0.20
bWhole blood carboxyhaemoglobin (%)
<2.7 40 (20%)
86 (29%) 1.0
2.7-4.4 77 (39%)
98 (33%) 1.70 (1.03, 2.81)
4.5+ 79 (40%)
110 (37%) 1.62 (0.97, 2.70)
196
294 P ~ 0.08
bPlasma cot#~ine (nmol/l)
< 300
300-699
700 +
b Plasma ~hiocyanate (.umol/l)
< 100
100-150
150+
40 (21%) 99 (34%) 1.0
80 (41%) 110 (34%) 1.78 (1.09, 2.91)
75 (38%) 85 (29%) 2.05 (1.24, 3.40)
195 294 P = 0.006
49 (25%) 101 (35%) 1.0
80 (41%) 95 (330/0) 1.89 (1.17, 3.05)
67 (340/0) 98 (33%) 1.58 (0.96, 2.62)
196 294 P = 0.08
:ld
tag
~ All OR are adjusted for age and sex and additionally for depth of inhalation for the smoking
markers, the P-value is obtained from Z'- for trend
analysis.
~ Only those with a blood sample taken on the day they attended hospital are used in these analyses,
where the OR has been adjusted for age,
sex and depth of inhalation.
recent smoking, whereas for those who admitted smok-
ing in the past 24 h 168/9 (99%) cases and 283/285
(99"/,) controls had continine concentrations in the
-smoking range. Even for the shorter half-life marker
carboxyhaemoglobin (q ,_ 4-5 h), 5/17 (29%) cases and
3i9 (33%) controls, had levels indicative of very recent
smoking. Hence, assuming the accurate discriminant
powers of the smoking markers, inaccurate reporting of
very recent smoking was similar in cases and controls.
4.3. Cardiovascular risk factors
In order to evaluate the risks of developing PAD in
association with several standard cardiovascular risk
factors, the ORs of developing PAD using separate
logistic regression analyses run for each variable, unad-
justed and adjusted for age, sex, diabetes and pack
years, are presented in Table 3. No increased risk of
developing PAD was associated with ethnic origin,

46 J.T. Powell et al. / Atherosclerosis 129 (1997)
41-48
Table 3
Risk factors for peripheral arterial disease in smokers
OR (95% CI)
P-value ~Adjusted OR (95% CI) bP-value
Systolic blood pressure (mmHg) < 140 1.0
1.0
140-159 2.91 (1.81, 4.66)
2~69 (1.66, 4.38)
160+ 8.07 (4.85, 13.49)
<0.0001 7.63 (4.45, 13.07) <0.0001
167 cases, 355 dontrols
1.0
1.0
1.10 (0.68, 1.80)
1.08 (0.66, 1.79)
2.08 (1.33, 3.30)
0.001 1.95 (1.22, 3.11) 0.004
Diastolic blood pressure (mmHg)
Cholesterol (mmol/l)
Apolipoprotein B (g/l)
Apolipoprotein(a) (mg/dl)
Fibrinogen (g/l)
<75
75-84
85+
167 cases, 355 controls
<5.2
5.2-6.4
6.5+
205 cases, 382 controls
<0.70
0.70-0.89
0.9+
<I0
10-39
40+
<5.1
5.1-6.0
6.1+
1.0 1.0
1.63 (1.03, 2.59) 1.89 (1.16, 3.08)
2.10 (1.33, 3.33) 0.002 2.82 (1.70, 4.67)
1.0 1.0
2.72 (1.65, 4.48) 2.82 (1.68, 4.76)
4.06 (2.50, 6.61) . <0.0001 4.45 (2.65, 7.45)
204 eases, 382 controls
1.0
0.78 (0.50, 1.20)
1.19 (0.74, 1.81)
204 cases, 379 controls
1.0
1.51 (0.96, 2.37)
1.85 (1.21, 2.87)
197 eases, 374 controls
<0.0001
<0.0001
1.0
0.71 (0.46, 1.12)
0.396 1.25 (0.81, 1.92) 0.24
1.0
1.32 (0.83, 2.11)
0.005 1.66 (1.05, 2.62) 0.02
l./ll
l,
[
[
l
i
Adjusted for age, sex, diabetes and pack years of smoking.
Z'z test or chi square for trend (3 categories).
social class, age started smoking, type of tobacco
product used, or family history of arterial disease.
A complete data set was only available for 413
subjects (141 cases and 272 controls) who smoked
manufactured cigarettes, largely because blood samples
were not obtained from all subjects. However there
w, ere no differences between those who gave a blood
sample and those who did not with respect to age, sex,
pack-year history of smoking, other smoking habits,
body mass index and BP. After adjustment for estab-
lished risk factors for PAD--age, sex, diabetes and
pack-year history of smoking--multiple logistic regres-
sion including 21 variables identified the following 3
independent factors as being associated with an in-
creased risk of PAD: systolic BP (OR = 8.1 (95% CI,
5.2-13.0), (P < 0.0001)); history of hypertension
(OR = 2.4 (95% CI 1.5-3.2), (P = 0.003)) and apolipo-
protein B (OR = 3.8 (95% CI 2.3-7.6), (P = 0.008)).
5. Discussion
Smoking has been established consistently as the
major risk factor for PAD [I-4]. Therefore by recruit-
ing only smokers, differences in the details of the
smoking habit between cases and controls, and a
clearer picture of the other risk factors for the develop-
ment of PAD in smokers were established. The smok-
ing habits of both cases and controls (number of
cigarettes currently smoked) was similar to that re-
ported for age-sex matched groups in the general
population [13]. The results of this hospital based case-
control study indicate that whilst an increased total
exposure to tobacco products (pack year history) and
nicotine absorption were associated with a significant
increase in the risk of developing symptomatic PAD,
there was no indication that smoking lower tar yield
cigarettes decreased the likelihood of developing symp-
tomatic PAD.
Although all cases with PAD were newly referred,
the developing problem may have been evident for a
considerable time prior to consultation with a specialist.
Hence the disease could have prompted a recent switch
to a lower tar brand cigarette, on the assumption that
this was a safer form of smoking. Indeed, inspection of
the cigarette brand smoked 5 years previously indicates
that there had been slightly more switching to lower tar
brand cigarettes among the cases. However, even 5
years prior to presentation when most cases did not
suffer PAD symptoms, cases reported smoking cigarette

i |
of
,tal
tnd ]I ~]
.tnt
ed, ]l _--. H
I" a
iSto
tes
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J.T. Powell et al. / Atherosclerosis 129 (1997) 41-48
47
brands which had lower tar and nicotine content than
controls (Table 2). It remains possible that cases were
more prone to recall bias, since it has long been recog-
nised that patients with smoking related disorders may
be deceptive about their current smoking habit [19,21].
However, recent recall bias was similar in cases and
controls, with objective smoking markers identifying
similar proportions of covert smokers in both cases and
controls who claimed not to have smoked in the 24 h
prior to interview. Therefore the clear trends for cases
to have increased levels of all three smoking markers
(Table 2) is indicative that cases may have smoked their
cigarettes differently, perhaps dragging the cigarette
down to the butt to maximise the nicotine yield. The
risk of PAD was more strongly associated with plasma
cotinine concentration than with carboxyhaemoglobin
or thiocyanate concentrations, which reflect the
metabolism of two gaseous products of tobacco com-
bustion, carbon monoxide and hydrogen cyanide, re-
spectively. This may indicate that nicotine, the
precursor of cotinine, is associated more closely with
vascular injury than carbon monoxide and hydrogen
cyanide and that smoking a cigarette to maximise
nicotine yield is a particularly dangerous habit.
The information collected on cardiovascular risk fac-
tors other than smoking was less complete than much
of the smoking data (Table 3). Nevertheless there were
clear indications that, as for coronary heart disease,
hypertension and hyperlipidaemia are important risk
factors for the development of PAD in smokers. After
adjustment for age, sex, diabetes, and pack years of
smoking, the 3 principal co-factors of smoking involved
in the development of PAD were increased systolic BP,
history of hypertension and increased concentrations of
apolipoprotein B. The 7-8 fold increase in odds ratio
for those with systolic blood pressures > 160 mmHg is
in keeping with prospective studies which indicate that
systolic is a better predictor of future cardiovascular
events than diastolic pressure [22]. The significance of
systolic BP and a history of hypertension as indepen-
dent risk factors was re-emphasised in the stepwise
logistic regression analysis of the 413 smokers with a
completed data set for all variables. The aetiological
relationship between lipid profiles and PAD has been
likened to that between lipid profiles and coronary
heart disease [23], which is consistent with the observa-
tion that over one half of PAD patients die from
coronary heart disease [24-26]. A significant associa-
tion between serum triglycerides and PAD has been
observed in many studies, but this association has
rarely been found to be independent [27,28]. The results
of the logistic regression analysis in this study which
identified apolipoprotein B, rather than chol,esterol, as
an independent risk factor for the development of PAD
are compatible with apolipoprotein B acting as a
marker of both cholesterol-rich and triglyceride-rich
lipoproteins. The failure of fibrinogen to emerge as an
independent risk factor in the logistic regression analy-
sis may reflect the fact that smoking is a major determi-
nant of plasma fibrinogen concentrations; both cases
and controls were smokers and data was adjusted for
pack-years.
This study, which recruited both cases and controls
from hospital patients, cotfld be subject to criticism.
The presence of controls in hospital could hage been
determined in part by the effects of smoking and hence
the controls could have over-represented those with
smoking-related illness. The controls' diagnoses were
selected to avoid this problem. In addition, since the
cases were referred to hospital for evaluation and diag-
nosis of their PAD, the results may not be applicable to
the general population. However, the major irripact on
quality of life and health service resources associated
with PAD is confined largely to those cases severe
enough to be referred to hospital.
6. Conclusion
These data do not support the hypothesis that those
smoking low tar cigarettes are less likely to suffer PAD.
Rather our evidence indicates that patients with PAD
know how to smoke their cigarettes in such a manner
as to maximise the nicotine yield. This smoking tech-
nique appears to be a major determinant of developing
PAD among smokers. However, it also seems likely
that control of hypertension and optimal lipid profiles
are likely to effect an important reduction in the mor-
bidity attributable to PAD in the community.
Acknowledgements
This work was supported by research grants from the
Tobacco Products Research Trust and the British Heart
Foundation. We thank past research assistants on this
project for their contribution. These include I. Corrie,
C. Harris and M. Beksinska. We also thank all those
consultants who gave permission for us to study their
patients.
2063633592
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