Plasma homocysteine is elevated in COPD patients and is related to COPD severity.

BACKGROUND: Although recent studies have found that total plasma homocysteine (tHCY) and chronic obstructive pulmonary disease (COPD) are both risk factors for cardiac disease, there have been few studies of plasma homocysteine levels in COPD patients. We tested the hypothesis that total plasma homocysteine (tHCY) would be elevated in patients diagnosed with COPD compared with controls.
METHODS: We studied 29 COPD outpatients and 25 asymptomatic subjects (controls) over age 55 years with measurement of forced expiratory volume in one second (FEV1), forced vital capacity (FVC), St. Georges Respiratory Questionnaire (SGRQ) score, tHCY and serum C-reactive protein (sCRP).
RESULTS: There was no difference between controls vs. COPD patients in mean age or gender but mean (SD) FEV1 was 2.25 (0.77) vs. 1.43 (0.60) L; FEV1% predicted 76.1 (17.2) vs. 49.1 (16.3) p < 0.001 in both cases. Median (IQR) tHCY was 8.22 (6.63, 9.55) in controls vs. 10.96 (7.56, 13.60) micromol/l for COPD, p = 0.006 and sCRP 0.89 (0.47, 2.55) vs. 2.05 (0.86, 6.19) mg/l, p = 0.023. tHCY(log) was also higher in (r, p) smokers (0.448, 0.001), patients with low FEV1% (-0.397, 0.003), males (0.475, < 0.001), but high SGRQ Total score (0.289, 0.034), and high sCRP (0.316, 0.038). tHCY(log) was independently related to (regression coefficient, p) sCRP(log) (0.087, 0.024), male gender (0.345, < 0.001) and presence of COPD (0.194, 0.031). Median (IQR) tHCY GOLD Stage I and II 8.05 (7.28, 11.04), GOLD Stage III and IV: 11.83 (9.30, 18.30); p = 0.023.
CONCLUSIONS: Plasma homocysteine is significantly elevated in COPD patients relative to age and sex-matched controls and is related to serum CRP and COPD severity.

Introduction

There has been an increase in the prevalence of and mortality from chronic obstructive pulmonary disease (COPD) worldwide. The World Health Organization has predicted that by 2020, COPD will rise from its current ranking as the 12th most prevalent disease worldwide to the 5th and from the 6th most common cause of death to the 3rd (Barnes 2000). Amongst the reasons for the dramatic increase in COPD prevalence include reduced mortality from other causes such as cardiovascular diseases in industrialized countries and infectious diseases in developing countries, along with a marked increase in cigarette smoking and environmental pollution in developing countries (Barnes 2000).

Chronic obstructive pulmonary disease is characterized by airflow limitation that is not fully reversible, progressive, associated with an abnormal inflammatory response of the lungs to noxious particles or gases (Buist 2006) and the presence of low grade systemic inflammation (Wedzicha 2000; Sin 2003). Amongst the systemic inflammatory markers serum C-reactive protein (sCRP) has emerged as a major systemic indicator of vascular risk (Danesh 1998; Sin 2003). However recent studies have demonstrated that plasma homocysteine may be considered to be a strong marker of cardiovascular risk (Homocysteine Studies 2002; Bodi 2005).

Most studies which have looked at systemic mechanisms and vascular risk in COPD have been undertaken in developed world subjects (Barnes 2000; Wedzicha 2000; Sin 2003) but in the West Indies there are lifestyle differences compared with the developed world and risk factors for morbidity and mortality may differ. Epidemiological studies of diseases in Trinidad and Tobago have concentrated on cardiovascular and metabolic diseases without much reference to respiratory diseases apart from asthma (Miller 1989; Scott 1998; PintoPereira 2002; Cockburn 2005), however a recent study of COPD in Trinidad has reported that patients with a history of vascular disease (VD) are more likely to have a low forced expiratory volume in one second (FEV1) (Harrinarine 2005). We postulated that blood markers of cardiac risk (tHCY and sCRP) would be elevated in COPD patients and that there would be an inverse relation between these markers of cardiac risk and spirometric indices of airway obstruction.

Methods

Selection of COPD patient and controls

Patients were recruited in 2005 from the Chest Clinic at Eric Williams Medical Sciences Complex (EWMSC), Faculty of Medical Sciences, St. Augustine, Trinidad and Tobago and all were outpatients who were know to have COPD. Asymptomatic subjects (controls) for this study were recruited during the study period in response to advertisement. The recruitment record included demographic variables, smoking, medical history and diet (Refsum 2004).

Ethical permission was obtained from the Institutional Review Board of the University of the West Indies prior to recruitment. Subjects were informed of the study and gave written consent prior to participating in the study.

Inclusion criteria for COPD patients

A prior diagnosis of COPD stated in the patients’ medical notes and postbronchodilator FEV1/forced vital capacity (FVC) ratio of less than 70% (Buist 2006). All COPD patients were over the age of fifty-five years.

Inclusion criteria for controls

Asymptomatic controls were defined as persons over the age of fifty-five years without any known medical illness and who were symptom free.

Exclusion criteria for COPD patients

Patients were excluded with any of the following (AARC 1996; Wedzicha 2000; Refsum 2004): hemoptysis of unknown origin; pneumothorax; unstable cardiovascular status, recent myocardial infarction or pulmonary embolus thoracic; abdominal or cerebral aneurysms; recent eye surgery eg, cataract; presence of an acute disease process that might interfere with test performance; recent surgery of thorax or abdomen; acute infection, inflammatory diseases such as rheumatoid arthritis, or history of kidney disease.

Exclusion criteria for controls

The exclusion criteria for the controls were the presence of any known disease or presence of any acute or chronic symptoms.

Measurement of spirometric variables

A handheld turbine spirometer (MicroSpirometer Cat No: MS01 Micromedical Limited P.O Box 6 Rochester, Kent, ME1 2AZ, UK) was used to measure postbronchodilator FEV1 and FVC. The spirometer met the requirements of the American Thoracic Society (ATS) (ATS 1994) and was calibrated appropriately (AARC 1996) and did not require recalibration (Seemungal 2000). Post-bronchodilator spirometric indices were measured 20 minutes after the subject inhaled two puffs of salbutamol −100 μg (AARC 1996). COPD severity (Crapo 1981) was classified according to the Global Initiative for Obstructive Lung Disease (GOLD) (Buist 2006).

Sample collection and analysis

Nonfasting venous blood samples were obtained from subjects for serum CRP analysis and plasma samples with ethylene diamine tetra acetic acid (EDTA) as anticoagulant used for tHCY analysis. The latter were immediately placed on ice in an icebox after collection and centrifuged within two hours, samples were stored at −20 °C until analysis within one month. The Abbott AxSym Homocysteine assay was utilized to quantitatively measure tHCY levels. It was based on the Fluorescence Polarization Immunoassay (FPIA) technology. This assay had a within day and day to day imprecision of (CV < 5%) and a recovery of 99.6%. Intraassay imprecision 1.1–1.8%, interassay 2.4%–6.7%. with an analytical sensitivity of 0.7 μmol/L. Serum CRP concentrations were measured using the Tina-Quant sCRP (Latex) high sensitive immunoturbidimetric assay on the Roche/Hitachi 912 Automatic Analyzer (Roche Diagnostics, GmbH, D-68298 Mannheim). The measuring range was 0.1–20 mg/L with a detection limit of 0.03 mg/L.

Health related quality of life and dietary vitamin intake

Health related quality of life

The health related quality of life (HRQOL) was determined using the St. George’s respiratory questionnaire (SGRQ) (Jones 1991). The SGRQ is a disease specific instrument that contains 50 items in 3 subscales (Symptoms, Activity, and Impact) (Jones 1991). The 3 components are transformed into a score from 0 to 100 (Jones 1991). The total score was calculated from responses to all 50 items (Jones 1991). Higher scores indicate poorer health status. The SGRQ was modified for use in Trinidad and was reviewed by four authors (TARS, GD, LPP, JD) using the MAPI Research Institute Method (Davison 2004). The only change made to the questionnaire was replacing the culturally (for the West Indies) irrelevant item “shovelling snow” by “dig in garden” in Section 6. This change did not affect the sense of the questionnaire and thus the weighting of the various parts of the questionnaire remained unchanged (Broekhuizen 2005).

Dietary vitamin intake

The food frequency questionnaire (FFQ) (Nutrition Assessment Shared Resource, 1100 Fairview Ave. N. M1-B208 Seattle, WA 98109-1024) was used to assess Vitamin B6, B12, and folate status in individuals according to the United States dietary allowance (USDA) National Nutrient Database for Standard Reference (National Agricultural Library 2004) since deficiencies in folate, Vitamins B6 and B12 can lead to hyperhomocysteinaemia (Refsum 2004). The FFQ was used to estimate habitual food intake of individuals and it consisted of a list of food items and a set of frequency-of-use response categories eg, per day, per week, per month or per year. Open-ended questions were avoided. Data gathered with the FFQ was ranked in classes of small, medium and large intakes (National Agricultural Library 2004) and the total intake scored (Fabiosa 1997). To evaluate the nutritional outcomes, the nutrient intake levels were compared with their respective United States recommended dietary allowances (RDAs) to determine the degree of shortfall (or excess) from the RDAs. In order to be comparable to the RDA standard, the nutrient intake was expressed on a per day basis (Fabiosa 1997).

Statistical analysis

Since there was no previously published West Indian data on homocysteine levels in the age groups studied the sample size was estimated using data from a previous study of inflammatory markers in COPD (Wedzicha 2000). In the latter study, the mean plasma fibrinogen in COPD patients was 33% higher when compared to normal age-matched subjects. In our study, we assumed a more conservative difference of 16.5% for the means of tHCY between normal and COPD subjects while allowing for the similar differences in variability observed in plasma fibrinogen. In order to detect a rise of 16.5% in mean tHCY between normal and COPD subjects, with a statistical power of 90% at the 5% significance level, we calculated a sample size of 23 subjects in each group.

For analysis, patients were classified as either smokers if they ever smoked or as nonsmokers. Categorical data were expressed in number (percentage). Parametric continuous variables were expressed as mean (SD) (standard deviation) while non-parametric continuous variables were expressed as median (interquartile range). sCRP were both normalized by logarithmic transformation and so Pearson’s correlation was used to determine binary relationships with these two variables. Differences between continuous variables were determined by t-test or Mann Whitney U-test as appropriate. Categorical variables were compared by the chi-square test. Backward linear regression, with tHCY(log) as outcome variable, was used to determine independent effects of variables that showed significant univariate relationship with tHCY(log).

Results

Demographics and spirometry

Table 1 shows that a total of 54 subjects (ethnicity: African 18, East Indian 25, Chinese 2, Mixed ancestry 9) were recruited of which 25 were controls and 29 were COPD patients. Among all subjects, older patients were more likely to have a lower FEV1 (rho = −0.557, p = 0.002) and FVC (−0.487, 0.007). Also there was no significant difference between Africans and East Indians in age, gender, body mass index, FEV1% predicted or FEV1/FVC% (p > 0.05 in all cases).

Table 1

Demographical data, lung function, SGRQ scores, tHCY and sCRP among controls and COPD patients. Data is shown either as mean (SD) or median (25th centile, 75th centile)

Characteristics	Controls (N = 25)	COPD (N = 29)	p-value
Age/yrs mean (SD)	64.8 (6.8)	69.1 (9.8)	0.137
Height/cms	164.3 (9.3)	164.8 (9.2)	0.849
Gender: Male N (%)	16 (64)	23 (79)	0.218
Ethnicity N (%)*			0.061
East Indians (Indo-Trinidadian)	9 (36)	16 (55)
African (Afro-Trinidadian)	8 (32)	10 (35)
Other	8 (32)	3 (10)
BMI kg/m2 (median (IQR)	27.4 (25.9, 29.9)	24.0 (20.5, 27.0)	0.001
Lung Function (mean (SD))
FEV1/L	2.25 (0.77)	1.43 (0.60)	<0.001
FVC/L	2.91 (1.02)	2.72 (0.82)	0.18
FEV1/FVC %	78.1 (8.3)	53.1 (14.0)	<0.001
FEV1 % predicted	76.1 (17.2)	49.1 (16.3)	<0.001
SGRQ Scores (median (IQR))
Impact	0.0 (0.0, 0.0)	35.7 (10.0, 50.8)	<0.001
Activity	6.2 (0.0,12.2)	47.7 (26.0, 66.3)	<0.001
Symptoms	0.0 (0.0,8.1)	49.3 (19.1, 64.0)	<0.001
Total	2.8 (0.0, 9.3)	44.2 (18.4, 55.0)	<0.001
tHCY/micromol/L	8.22 (6.63, 9.55)	10.96 (7.56,13.60)	0.006
sCRP/mg/L	0.890 (0.47, 2.55)	2.050 (0.86, 6.19)	0.023

Abbreviations: SD, standard deviation; FEV1, forced expiratory volume in 1 second; FVC, forced vital capacity; SGRQ, St. George’s Respiratory Questionnaire; tHCY, total plasma homocysteine; sCRP, serum C-reactive protein; BMI, Body Mass Index.

Note: *Ethnicity was determined from the patient’s own perception.

COPD patients had a lower body mass index (BMI) than asymptomatic controls but age, height, ethnicity and gender distribution were similar (Table 1). In the asymptomatic controls, 22 never smoked, 2 quit greater than one year prior to the study and one quit within the past twelve months. In the COPD group, 5 never smoked, 13 quit greater than 1 year ago, 3 quit within the past year and 8 currently smoked. Co-morbidities amongst the 29 COPD patients were as follows: 12 in all with either cardiac disease (N = 9) and/or diabetes mellitus (N = 6). The distribution of COPD severity amongst COPD patients was: GOLD stages 1 and 2 (N = 15), GOLD stages 3 and 4 (N = 14).

Quality of life

As expected, Table 1 shows that the SGRQ total and component scores were uniformly higher in COPD patients compared with controls. The SGRQ total and component scores were strongly correlated with each other with correlations ranging from 0.622 to 0.933 (p < 0.001 in all cases). Table 2 shows that the SGRQ total and component scores were higher in COPD patients and those with low FEV1, FEV1% and FEV1/FVC (p < 0.001 in all cases). The SGRQ scores were all higher in the smokers.

Table 2

Correlations (Spearmans) between variables in Table 1 and SGRQ symptoms, impacts, activities and total scores, (N = 54 subjects). (NS = Not statistically significant)

Variable	Symptoms	Impacts	Activities	Total score
FEV1***	−0.498	−0.461	−0.516	−0.595
FEV1%***	−0.584	−0.577	−0.620	−0.644
FEV1/FVC***	−0.576	−0.641	−0.437	−0.558
BMI*	−0.278	−0.338	NS	NS
Smoker*	0.555	0.649	0.448	0.582
tHCY*	0.295	0.330	NS	0.289
sCRP*	0.339	0.286	NS	0.316

Note: ***p < 0.001 for all correlations in this row;

*p < 0.05 for all correlations in this row. Except where NS is stated.

Total plasma homocysteine and serum C-reactive protein

Table 1 shows that median tHCY and median sCRP were higher in the COPD patients. Since this is the first study of homocysteine in this population we also state the means for comparison: mean (SD) tHCY in asymptomatic controls was 8.18 (1.82) μmol/L and in COPD patients 11.96 (5.87) μmol/L; mean (SD) sCRP was 1.83 mg/L in the asymptomatic controls and 4.35 mg/L in the COPD group. COPD patients with cardiac disease or diabetes mellitus were unlikely to have a higher plasma homocysteine or serum CRP level than other COPD patients (p > 0.120 in all cases). There was no significant relationship between ethnicity and tHCy or sCRP. Further, tHCY was not related to B12, folic acid or B6 intake as estimated by the food frequency questionnaire (p > 0.200 in all cases). 25% of patients consumed alcohol, but this was unrelated to tHCY levels, rho = 0.070, p = 0.668.

Table 3 shows that higher levels of tHCY and sCRP were found in COPD patients, smokers and Table 2 shows that higher levels of tHCY and sCRP were also related to higher SGRQ symptoms, impacts, and total scores. In addition, tHCY was likely to be higher in males and to low FEV1% predicted or low FEV1/FVC. tHCY(log) and sCRP(log) were significantly correlated over all subjects as illustrated in Figure 1.

Table 3

Correlations (Pearsons) between tHCY(log), sCRP(log) and the baseline variables. (Statistically significant relationships are in bold type, p < 0.05, N = 54 subjects.)

	tHCY(log)		sCRP(log)
	rho	p	rho	p
COPD	0.418	0.002	0.327	0.016
Male Gender	0.475	<0.001	0.059	0.672
Age	0.223	0.105	0.173	0.212
BMI	−0.120	0.387	−0.091	0.514
Ethnicity	−0.191	0.169	−0.193	0.161
Smoker	0.448	0.001	0.410	0.002
FEV1	−0.168	0.226	−0.263	0.055
FVC	0.000	-	−0.211	0.126
FEV1/FVC	−0.298	0.028	−0.225	0.102
FEV1% Predicted	−0.397	0.003	−0.272	0.047
tHCY	-	-	0.377	0.005

Figure 1

Relationship between total plasma homocysteine (tHCY) and serum C-reactive protein (sCRP) in 29 COPD patients and 25 asymptomatic controls, rho = 0.377, p = 0.005. Grey circles are asymptomatic controls and black circles are COPD.

Figure 2 shows that COPD patients with high stage disease (GOLD stages 3 and 4) were more likely to have a high tHCY (rho = 0.429, p < 0.020) than those with low stage disease (GOLD stages 1 and 2). There was a nonsignificant trend toward a higher median sCRP in patients with high vs. low stage COPD (3.48 vs. 1.64 mg/L, p = 0.565). However tHCY and sCRP were significantly related in the COPD patients (N = 29), rho = 0.415, p = 0.025.

Figure 2

The box plot shows the relationship between total plasma homocysteine (tHCY) and COPD severity in 29 COPD patients, p = 0.023. Open circles indicate outliers.

Multivariate analysis of factors affecting plasma homocysteine levels

Backward multiple regression for all subjects (N = 54) with plasma homocysteine (log) as outcome variable revealed independent relationships with serum CRP (log), presence of COPD and male gender but not SGRQ Total score (dichotomized about the median) or smoking history (Table 4). If the regression was repeated with FEV1% instead of presence of COPD as the lung function variable results were similar, with an inverse relationship between FEV1% and tHCY(log).

Table 4

Backward stepwise multiple regression analysis with plasma homocysteine (log) as outcome variable in 54 subjects (29 COPD and 25 healthy controls)

Dependent variables	Regression coefficient (B)	p
sCRP (log)	0.087	0.024
COPD	0.194	0.031
Male gender	0.345	<0.001
Constant	1.848	<0.001

When the regression analysis was repeated amongst COPD patients only (N = 29), tHCY(log) was independently related to high sCRP (log) (B = 0.123, p = 0.046) and high stage COPD [GOLD 3 and 4] (B = 0.326, p = 0.023) and, again, effects of quality of life and smoking could not be independently distinguished.

Discussion

This is the first study to our knowledge that shows the relationship between plasma tHCY and spirometric measurements in a West Indian population, the study extends and supports the findings of two previous studies (Anderson 2001; Kai 2005). We found a negative correlation between FEV1 and tHCY in the subjects studied and, consistent with other centres, a high sCRP in COPD patients (Broekhuisen 2005; Dahl 2007). tHCY and sCRP were related to COPD severity using the GOLD guidelines classification and this relationship was supported by relationships with poor quality of life scores in the bivariate analyses. Total plasma homocysteine was greater in men, subjects with low FEV1/FVC ratio and low FEV1 % predicted. Our study revealed a positive correlation between tHCY and sCRP in both patients and controls.

This is the first study to measure health-related quality of life in a West Indian COPD population using the SGRQ and the first to show a relationship with plasma homocysteine. Several instruments have been advocated for measurement of quality of life; however as with most questionnaires of this type, they may be rather insensitive to changes in health (Jones 1991). The SGRQ has the advantage of allowing direct comparison between different patient populations and treatment groups and has been shown to be responsive when used for these comparisons (Jones 1991; Seemungal 1998). The Total SGRQ score in our group of COPD patients was 44.2 as compared with 56.7 in the East London cohort of moderate to severe COPD patients (Seemungal 1998), like the East London Study, all of our COPD patients were outpatients. In this study we presented the data for SGRQ in the controls as this is the first study of its kind in the West Indies. As in other studies we have found a relationship between impaired quality of life, severity of airflow obstruction and elevation of the serum inflammatory marker C-reactive protein (Broekhuisen 2005).

tHCY was unrelated to dietary vitamin (B12, folate and B6) intake however, median tHCY in COPD patients was higher when compared with controls, and in smokers compared with nonsmokers. In the multivariate analysis the effects of COPD outweighed those of smoking indicating that by the time that COPD develops the events that lead to rising tHCy may be independent of the smoking stimulus. Our results support those of a recent study in a Japanese population (Kai 2005) who like us found a mean plasma homocysteine of approximately 12 μmol/L in the COPD patients and showed that a high tHCY predicted more rapid FEV1 decline. However, we have also found that tHCY is related to COPD severity which they did not (Kai 2005). Unlike the Japanese cohort the FEV1 of our patients was negatively correlated with tHCY levels and this is consistent with the relationship we found between high tHCY and poor quality of life scores. Kai and colleagues (2005) found that there was a tendency toward a relationship between low arterial oxygen tension and low tHCY in their COPD patients and speculated that this may cause inhibition of enzymes involved in tHCY metabolism in the later stages of COPD, however this relationship was not tested in a multivariate analysis. We note however that the mean FEV1 of our patients was greater than that in the Japanese study and so on average our patients were less severe. Several enzymes are involved either directly or indirectly in homocysteine metabolism and mutations in any of the following cystathionine beta-synthase (Mudd 2001), methylenetetrahydrofolate reductase (MTHFR) or methionine synthase reductase (Goyette 1995; Kluijitmans 2003) may contribute to hyperhomocysteinaemia in different populations.

The high levels of tHCY in COPD compared with the controls may well be a marker of unhealthy lifestyles (Rimm 1998; Cleophas 2000). However the finding that tHCY was higher in patients with GOLD stages III/IV disease compared with Stages I/II suggests a role in COPD pathogenesis. This is supported by the finding of an inverse relationship between tHCY and FEV1% as well as with poor quality of life scores. The raised tHCY in COPD has been related to oxidative stress as demonstrated by Andersson et al who showed that tHCY was elevated, but reduced glutathione depressed, in COPD relative to controls (Anderson 2001). Thus, the role of tHCY in COPD may be mediated through its inverse relationship with reduced glutathione. Recent workers have found a relationship between markers of oxidative stress such as reduced glutathione and COPD severity and this is consistent with our hypothesis of a role for tHCY in the pathogenesis of COPD (Kluchova 2006; Vibhuti 2007).

We found that tHCY levels were positively and independently related to sCRP, a marker of systemic inflammation, mortality and hospitalization in COPD (Dahl 2007), cardiac disease (Zakai 2007) and cardiac disease in COPD (Sin 2003). In our study, median sCRP in normal subjects was similar to that of previously published American and Dutch controls (Sin 2003; Broekhuisen 2005). The difference in mean sCRP between controls and COPD patients was 2.52 mg/L in our study which is of the same order of magnitude as the 1.86 mg/L due to COPD as estimated in a meta-analysis by Gan and colleagues (2004). In our study we have found that circulating levels of sCRP were higher in participants with airflow obstruction than in those without and that sCRP was related to severity of obstruction as Sin and colleagues (2003) found. However, though median sCRP was higher in our more severe COPD patients the sample size was not sufficient to detect a statistically significant difference. Like tHCY, sCRP is also associated with cardiac disease (Zakai 2007). Pulmonary inflammation is a likely cause of systemic inflammation seen in COPD, as supported by a recent study showing that use of inhaled corticosteroids in COPD patients is associated with reduced sCRP and other markers of systemic inflammation (Sin 2004). Finally the positive correlation between sCRP and tHCY reported in our study has also been found in other chronic diseases (Sattar 2007; Schroecksnadel 2007) and this again supports the hypothesis of a possible role for homocysteine in cardiac complications in chronic disease patients. The cause of this association is not clear. Interventional studies have so far shown that increased intake of folate or B12 while reducing tHCY are not associated with however decreased serum inflammatory markers or cardiac events but raised serum folate may have direct effects at multiple sites including atherosclerotic plaques and thus other methods of reducing tHCY may yield different results on serum inflammatory markers (Durga 2005; Bonaa 2006).

In this study of West Indian patients with COPD we have found that two markers, tHCY and sCRP, that have been associated with cardiovascular risk are also associated with COPD and with COPD severity and with each other. In general, for a 10% decrease in FEV1, all-cause mortality increases by 14%, cardiovascular mortality increases by 28%, and nonfatal coronary events increase by almost 20% (Anthonisen 2002), similarly, studies of sCRP have shown that sCRP greater than 3 mg/l is associated with high mortality rates at 10 years (Dahl 2007). Further studies are required to determine the cause of the elevated plasma homocysteine levels in COPD patients in this West Indian population and whether tHCY is related to mortality in COPD.