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Daily concentrations of air pollution and plasma fibrinogen in London

Abstract

OBJECTIVES The reason for the association between air pollution and risk of cardiovascular diseases is unknown. The hypothesis was examined that daily concentrations of air pollution are associated with daily concentrations of fibrinogen, a risk factor for cardiovascular disease.

METHODS Data on concentrations of plasma fibrinogen for 4982 male and 2223 female office workers, collected in a cross sectional survey in London between September 1991 and May 1993, were combined with data on concentrations of air pollution during the day of blood sampling and during the 3 preceding days.

RESULTS After adjustment for weather and other confounding factors, an increase in the 24 hour mean NO2 during the previous day from the 10th to the 90th percentile (61.7 μg/m3) was associated with a 1.5% (95% confidence interval (95% CI) 0.4% to 2.5%) higher fibrinogen concentration. The respective increase for CO (1.6 mg/m3) was 1.5% (95% CI 0.5%, 2.5%). These associations tended to be stronger in the warm season (April to September). Significant associations were found for black smoke and particulate matter of diameter 10 μm (PM10) only in the warm season. No association with fibrinogen was found for SO2 or ozone.

CONCLUSIONS The short term association between air pollution, possibly from traffic, and risk of cardiovascular events may be at least partly mediated through increased concentrations of plasma fibrinogen, possibly due to an inflammatory reaction caused by air pollution.

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Associations between air pollution and daily cardiovascular mortality and morbidity have been reported from several cities,1-9 including London.10 11 Two cohort studies have also reported associations of particulate air pollution with long term risk of cardiovascular death.12 13 The reasons for these associations are, however, unknown. It has been suggested that air pollutants, especially particulate matter, may induce inflammation, which would increase the concentrations of acute phase reactants, including fibrinogen.14 Fibrinogen is an important risk factor for cardiovascular diseases, especially ischaemic heart disease,15 but also stroke and peripheral arterial disease.16 In support of this inflammation hypothesis, it was recently reported that plasma viscosity increased during an air pollution episode in Germany.17

We therefore examined the association between daily concentrations of air pollution and concentrations of plasma fibrinogen measured among 4982 male and 2223 female office workers in Whitehall, London between September 1991 and May 1993.

Methods

The demographic characteristics, health, and risk factors of the 10 308 subjects (6895 men and 3413 women) in the Whitehall II study at baseline are published elsewhere.18 Subjects were recruited in 1985–8 by inviting all employees aged 35–55 from 20 London based civil service departments. The response rate was 73%, but detailed investigation in one department showed that 4% of those on the list of employees had moved before recruitment, and so the true response rate was somewhat higher. The haemostatic data analysed here were measured at the second screening examination (1991–3) when 5616 men and 2488 women aged 39–63 years participated.

Venepuncture of the left antecubital vein was performed with tourniquet and blood was collected into Sarstedt citrate monovettes. After centrifugation samples were immediately frozen at −80 oC and stored until assay. Fibrinogen was measured by an automated modification of the Clauss method.19 Technical error was estimated by assaying blinded duplicate samples for 5% of subjects. The coefficient of variation was 7.7%.

The air pollution data were obtained from AEA Technology, NETCEN, Culham, Abingdon, Oxfordshire. We used 24 hour averages of NO2, particulate matter of diameter 10 μm (PM10), and CO and maximum 8 hour means of O3, all measured in central London. Black smoke and SO2 are 24 hour imputed averages for London from measurements from five sites: London City, Croydon in South London, Enfield in North London, Acton in West London, and Ilford in East London. Daily maximum and minimum temperature and 0600 and 1500 relative humidity measures at Holburn, central London, were obtained from the Meteorological Office.

In the analyses, fibrinogen was modelled in two ways. Firstly, in the linear regression models, fibrinogen was regressed on the air pollutants. Logarithmic transformation was indicated because of the log normal distribution of fibrinogen. We also tried a linear first order autoregressive model, but there was no evidence of autocorrelation. Secondly, in the logistic regression models, those 10% of the subjects with the highest fibrinogen (above 3.19 g/l) concentrations were defined as having high concentrations and the rest low concentrations. This binary variable was then regressed on the air pollutants. All analyses were done with SAS.20

Pollution data on the day when blood sampling was done (lag 0) and on three previous days (lags 1–3) were matched for each individual subject. Pollutants were modelled as continuous variables. Initially, analyses were done for the four lags with the whole data set. Further analyses were done in subgroups—non-smokers, men and women, and cool season (October to March) and warm season (April to September).10 11

All analyses were adjusted for 5 year age group, sex, employment grade (six categories),21 ethnicity (four categories: European, South Asian, Afro-Caribbean, other), smoking (three categories: never, ex, current), body mass index, alcohol consumption, month of examination (21 categories) to model seasonality in fibrinogen concentrations, minimum temperature, and relative humidity. Body mass index, alcohol, temperature, and humidity were entered as continuous variables, all other variables were treated as categorical. These adjustments made very little difference and only adjusted analyses are reported here. Further adjustments for the type of building, where the person worked, for maximum temperature, or for weekday, had little effect on the results.

All results are reported for an increase in the pollutant concentration from its 10th to its 90th percentile. Therefore, the odds ratios derived from logistic regression can be interpreted as the relative risk for having a high concentration of fibrinogen in a high pollution day (90th percentile) compared with a low pollution day (10th percentile). As fibrinogen was logarithmically transformed for the linear regression analyses, the analyses give the relative difference in fibrinogen for a given change in the pollutant. The results are reported as the mean (SEM) of % difference in fibrinogen associated with increase in the pollutant concentration from 10th to 90th percentile, which were calculated by multiplying the original regression coefficient (SEM) by number of units of air pollution between the 10th and 90th percentiles, taking the exponent of this, then subtracting one, and multiplying by 100.

Results

Haemostatic data were collected from September 1991 to May 1993. Except for PM10 and O3, and six missing days of NO2, air pollutant data were available for 349 days during which blood was collected (table 1). The analyses focus on the 7205 office workers examined on those days who had non-missing data on the confounders needed for the multivariate models.

Table 1

Distributions of plasma fibrinogen and air pollutants

Correlations between all pollutants, except O3, were high and positive (table 2). Lowest correlations, around 0.6, were found for PM10 with black smoke and with CO. Highest correlations, around 0.8–0.9, were found for CO with NO2 and with black smoke. Ozone correlated negatively with all other pollutants, but especially with CO and black smoke (−0.45).

Table 2

Pearson correlations between air pollutants, logarithm of fibrinogen, temperature, and humidity

In the linear regression analyses, fibrinogen concentrations were significantly and positively associated with all lags of CO and NO2, but not with other pollutants. The findings from the logistic regression analyses were generally in the same direction, but less significant (table 3).

Table 3

Adjusted3-150 associations between different lags of air pollutants and fibrinogen

The consistency of the associations found at lag 1 was then analysed in subgroups defined by season, sex, and smoking. The association of NO2 and ozone with fibrinogen tended to be stronger among women than men (table 4).

Table 4

Adjusted4-150 associations of previous day's concentration of the air pollutants (lag 1) with fibrinogen in subgroups defined by smoking, sex, and season

Black smoke, PM10, CO, and NO2 tended to be more strongly associated with fibrinogen in the warm season. The results among non-smokers were in general similar to the results among all subjects.

These subgroup analyses were repeated for CO and NO2 at lag 3, as they showed a significant association also in the logistic regression models (table 3). The results from these subgroup analyses were similar to the results obtained for both CO and NO2 at lag 1 (table 4).

Logistic regression analyses were also done in subgroups defined by season, sex, and smoking (data not shown). In these analyses, the direction of the associations between air pollutants and fibrinogen were in general consistent with the linear regression analyses (table4), but associations were less significant. There were, however, two exceptions. Firstly, the direction of the associations between PM10 and fibrinogen were not consistent between the linear and logistic regression analyses. Secondly, significant associations for SO2 were found in the logistic regression analyses only in the cool season and among non-smokers.

Multipollutant models were then run separately for the cool and warm season. During the warm season, the associations of black smoke, PM10, NO2, and CO at lag 1 all became non-significant with simultaneous adjustment. This was generally the case also in two pollutant models. The strength of the association of black smoke was little affected by adjustment for other pollutants. The coefficient for PM10 was reduced from 3.2% to 1.7%, when adjusting for black smoke, but adjusting for other pollutants had little effect. The coefficients for NO2 and CO varied from model to model. During the cool season, both NO2 (lag 3) and CO (lag 3) lost their significance when adjusted for the effect of other pollutants.

Factor VIIc coagulant activity was also measured in the Whitehall II participants at the second screening examination by an automated clotting method with rabbit thromboplastin.22 Median concentration of factor VIIc was 87.3%. Daily mean factor VIIc concentrations declined with time (correlation −0.22 with study day). Adjusting for the month of the study changed the direction of the associations of factor VIIc with black smoke, CO, and NO2, so that in the adjusted analyses all lags of all pollutants were significantly negatively associated with factor VIIc concentrations. The strongest associations for each pollutant were lag 2 of black smoke (% difference) −3.4%, p<0.001, lag 3 of PM10 −3.4%, p<0.001, lag 2 of SO2 −3.3%, p<0.001, lag 0 of CO −1.4%, p=0.02, lag 3 of NO2 −1.8%, p<0.01, and lag 1 of O3 −2.9%, p<0.01. None of the variables available were able to explain the inverse association.

Discussion

In the present study of office workers in London, daily concentrations of NO2 and CO were associated with increased plasma fibrinogen concentration in both seasons, with similar associations for black smoke and PM10 in the warm season. These results support the proposal14 that the association between air pollution and cardiovascular events may at least partly be mediated by haemostatic or inflammatory mechanisms.

Several studies have reported associations of daily variations in CO, particulates, O3, NO2, and SO2 with daily changes in cardiovascular mortality and morbidity.1-11 The results seem to be most consistent for particulate air pollution and probably CO.3 23 Although the relative risks of cardiovascular mortality are usually smaller than respiratory mortality, the largest number of excess deaths due to particulate air pollution are attributable to cardiovascular diseases, as the absolute risk of cardiovascular disease in western societies is high.12 24 25

It has been suggested14 that the many ultrafine particles in urban air may promote inflammation of lung epithelium, which would increase the concentrations of acute phase proteins—like fibrinogen—which in turn have been shown to be risk factors for cardiovascular diseases.16 Also NO2, O3, and SO2 are capable of producing inflammatory reactions in the lungs,23 and could thereby also increase fibrinogen concentrations. Fibrinogen is a well known risk factor for myocardial infarction, thrombotic stroke, and claudication, but not other cardiovascular end points.16

An association between air pollution and increased plasma viscosity, for which fibrinogen is a major determinant, has earlier been reported in a cross sectional study.17 During the field work of that study, there occurred a major air pollution episode characterised by high concentrations of SO2 and particulates, but not CO. Subjects studied during the air pollution episode had higher plasma viscosity than other subjects. There was a strong decline in temperature during the episode, which makes the separation of the effects of air pollution and temperature difficult. However, in further analyses, CO was associated with increased plasma viscosity among women after adjusting for the air pollution episode. This association was found mainly with logistic regression analyses, where the end point analysed was the proportion of subjects with high plasma viscosity.17 Although we also found an association between CO and fibrinogen, the association was more consistent in the linear regression than in the logistic regression analyses.

Fibrinogen is one potential mechanism linking air pollution to cardiovascular disease, but other mechanisms probably also exist. This has been shown for CO, which by forming carboxyhaemoglobin decreases the exercise capacity in patients with coronary artery disease.26 27 Several recent studies have shown an association between particulate air pollution and variability in heart rate, which in turn is associated with cardiovascular risk.28 The effect of air pollution may also be mediated through toxic effects on the respiratory system. There are several studies showing an association of particulates, NO2, O3, and SO2 with respiratory infections,23 which are associated with increased plasma fibrinogen,29 and which may also exacerbate pre-existing cardiovascular diseases.30

There is some coherence between our results and those of two time series studies of daily cardiovascular events in London over the same period, and with the same pollutant indicators (except that PM10 was not measured). A study of cardiovascular mortality10 found significant associations with NO2 and SO2, but not black smoke, in the warm season. A study of emergency admissions for acute myocardial infarction11 found associations with NO2, SO2, CO, and black smoke, but for reasons we cannot reconcile with our study or the mortality study, these were found mainly in the cool season.

In the present analyses, a difference between the lowest and the highest decile of both NO2 and CO was associated with a 1.5% difference in fibrinogen. The same difference in NO2and CO was associated with a 2.8% and a 3.6% increase in admissions to hospital for myocardial infarction, respectively, as estimated for the earlier analyses from London.11 As previous studies have suggested that a 1% increase in fibrinogen concentration is associated with a 1.7% increase in risk of myocardial infarction,31 the increase in fibrinogen found in the present study is in the correct order of magnitude to explain the association of NO2 and CO with myocardial infarction.

The present, and previous,11 analyses were not able to separate the effects of different pollutants due to their high correlations. Therefore, the pollutants used in the present analyses can mainly be regarded as indicators of the pollutant mix prevailing in any given day, as well as being measurements of the specific pollutants. Carbon dioxide and NO2, and to a lesser extent black smoke, are good indicators of traffic pollution. This may explain the association of CO with fibrinogen, as it is unlikely that CO by itself would induce inflammation and affect fibrinogen concentrations.

The proxy for personal exposure, as in previous time series studies,10 11 was concentrations of air pollution in a few monitoring sites in London. If this error in the measurement of exposure is random, the true association between air pollution and fibrinogen may be stronger than reported here. In the present study, as in the earlier German study,17 subjects were studied only once. This also introduces a possibility of systematic bias. We conducted a search for possible indicators of such bias, such as place of work, but were unable to detect any.

We also found in passing that air pollution was inversely associated with factor VIIc concentrations. Factor VIIc was included in the present analyses mainly for exploratory purposes, as we are not aware of data suggesting that factor VIIc is an acute phase reactant. Factor VIIc is also a less well established risk factor for myocardial infarction than fibrinogen. However, if other studies confirm this relation, the reasons for such an association merit investigation.

In summary, the present results support the idea that at least part of the short term association between air pollution especially from traffic and cardiovascular mortality and morbidity is mediated through increased concentrations of fibrinogen, possibly due to an inflammatory reaction caused by air pollution.

Acknowledgments

The Whitehall II study has been supported by grants from the Medical Research Council, British Heart Foundation, Health and Safety Executive, National Heart Lung and Blood Institute (HL36310), National Institute of Ageing (AG13196), Agency for Health Care Policy Research (HS06516), The New England Medical Centre Division of Health Improvement, Institute for Work and Health, Toronto, and the John D and Catherine T MacArthur Foundation Research Networks on Successful Midlife Development and Socio-economic Status and Health. We also thank all participating civil service departments and their welfare, personnel, and establishment officers; the Occupational Health and Safety Agency; the Council of Civil Service Unions; all participating civil servants in the Whitehall II study; and all members of the Whitehall II study team. EJB was supported by the British Heart Foundation.

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