Literature DB >> 22419864

Fibrinogen, chronic obstructive pulmonary disease (COPD) and outcomes in two United States cohorts.

Deepa Valvi1, David M Mannino, Hana Müllerova, Ruth Tal-Singer.   

Abstract

BACKGROUND: Fibrinogen is a marker of systemic inflammation and may be important in the pathogenesis and progression of chronic obstructive pulmonary disease (COPD).
METHODS: We used baseline data from Atherosclerosis Risk in Communities and Cardiovascular Health Studies to determine the relation between fibrinogen levels and COPD and to examine how fibrinogen levels at baseline affected outcomes of death, development of COPD, lung function decline, and COPD-hospitalizations.
RESULTS: Our study sample included 20,192 subjects, of whom 2995 died during the follow-up period. The mean fibrinogen level was 307.6 mg/dL and 10% of the sample had levels >393.0 mg/dL. Subjects with Stage 3 or 4 COPD were more likely to have a fibrinogen level >393.0 mg/dL (odds ratio 2.28, 95% confidence interval [CI]: 1.79-2.95). In the longitudinal adjusted models, fibrinogen levels >393 mg/dL predicted mortality (hazards ratio 1.54, 95% CI: 1.39-1.70), COPD-related hospitalization (hazards ratio 1.45, 95% CI: 1.27-1.67), and incident Stage 2 COPD (odds ratio 1.36, 95% CI: 1.07-1.74). Similar findings were seen with continuous fibrinogen levels.
CONCLUSION: In the Atherosclerosis Risk in Communities/Cardiovascular Health Studies cohort data, higher fibrinogen levels are predictors of mortality, COPD-related hospitalizations, and incident Stage 2 COPD.

Entities:  

Keywords:  COPD; epidemiology; fibrinogen; hospitalization; mortality

Mesh:

Substances:

Year:  2012        PMID: 22419864      PMCID: PMC3299546          DOI: 10.2147/COPD.S29892

Source DB:  PubMed          Journal:  Int J Chron Obstruct Pulmon Dis        ISSN: 1176-9106


Background

Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease with varied clinical presentations.1 COPD became the third leading cause of death in the United States in 2008.2 Approximately one in 20 deaths in the United States had COPD as the underlying cause.2 Understanding the natural history of COPD has been important in the field of pulmonary medicine, dating back to the work of Burrows et al,3 and Fletcher et al.4 Over subsequent years researchers have championed different hypotheses about COPD development, including the British hypothesis stating that the presence of cough and sputum was the key factor5 and the Dutch hypothesis stating that the presence of increased airways responsiveness was the major factor.6 Fibrinogen is an inflammatory marker that is increased in COPD, as well as many other inflammation-associated diseases.7 The Coronary Artery Risk Development in Young Adults CARDIA study showed fibrinogen as a marker for chronic low-grade inflammation and is associated with modest deterioration of lung function in healthy young adults.8 According to Dahl and colleagues, increased levels of fibrinogen were associated with reduced lung function and increased risk of COPD, and these associations were independent of smoking status.9 Groenewegen and colleagues demonstrated that besides lung function impairment systemic inflammation manifested by elevated fibrinogen levels was an independent risk factor for exacerbations of COPD.10 Hyperfibrinogenemia is linked with asthma11 and smoking.12 There is little information on the relationship between plasma fibrinogen levels and lung function decline;8 although recent work has suggested that systemic processes may be important in these processes. We hypothesized that fibrinogen can be used as a tool for stratifying COPD patients in clinical trials by identifying populations at higher risk for poor outcomes such as development of COPD, rapidly declining lung function, COPD hospitalizations, and death. This paper examines the descriptors of normal and elevated fibrinogen levels at baseline in a cohort of US adults and determines the relationship between elevated fibrinogen levels and incident respiratory outcomes including development of COPD, rapidly declining lung function, COPD hospitalizations, and death controlling other risk factors, including cardiovascular disease (CVD).

Methods

Study population

The study population originated from the combined cohorts of the Atherosclerosis Risk in Communities (ARIC) and Cardiovascular Health Study (CHS). Both the ARIC and CHS were population-based National Institute of Health cohorts initiated in the late 1980s. The ARIC study was initiated in 1987 as a longitudinal, population-based study of the etiology and clinical sequelae of atherosclerosis in 15,792 adults. Study protocols were approved for protection of human subjects. Participants were selected from the entire population by probability sampling from four US communities: Forsyth County, NC; Minneapolis, MN; Washington County, MD; and Jackson, MS (where only African Americans were sampled). Specific details of the ARIC study are published elsewhere.13 Our analysis was limited to ARIC participants aged 45–64 years old at baseline, who provided information on respiratory symptoms and diagnoses, medical history, and who underwent adequate pulmonary function testing at the baseline examination. The original CHS cohort consisted of 5201 subjects selected using Medicare eligibility lists provided by the US Healthcare Financing Administration for four communities: Forsyth County, NC; Pittsburgh, PA; Sacramento County, CA; and Washington County, MD from May 1989 to May 1990. Analysis was limited to subjects who provided information on respiratory symptoms and diagnoses, medical history, and smoking status, and who underwent a clinical exam and spirometric testing at baseline and 4 years. Details of the CHS are published elsewhere.14

Definition of variables

Demographic data used in this analysis were age (in 5 year categories for ARIC and 4 year categories for CHS), sex, race (black, white, other), education (less than 12 years, 12 years, and more than 12 years). The study participants were categorized into normal and elevated fibrinogen values with a cut off value of greater than 393 mg/dL (corresponding to the top decile) and six lung function categories based on modified Global Initiative for Chronic Obstructive Lung Disease (GOLD) criteria; classification is based on “pre-bronchodilator” response. GOLD Stage 3 or 4 (forced expiratory volume in 1 second (FEV1)/forced vital capacity (FVC) <0.70 and FEV1 <50% predicted), GOLD Stage 2 (FEV1/FVC <0.70 and FEV1 >50 to <80% predicted), GOLD Stage 1 (FEV1/ FVC <0.70 and FEV1 >80%), restricted (FEV1/FVC >0.70 and FVC <80% predicted), GOLD Stage 0 (presence of respiratory symptoms in the absence of any lung function abnormality), and no lung disease. We included in the analyses potential confounders of CVD at baseline (subjects reporting a diagnosis of a previous myocardial infarction, stroke, heart failure, angina or transient ischemic attack, and excluding hypertension). Smoking status included current, former, and never smokers. Respondents with a positive response to “Have you ever smoked cigarettes?” and “Do you now smoke cigarettes?” were classified as “ever smokers” and “current smokers,” respectively. Pipe or cigar smokers were also considered as “smokers.” Subjects were classified as having diabetes if they reported either a diagnosis of diabetes at baseline or had impaired fasting or post-glucose load levels (140 mg/dL) upon examination. Body mass index was categorized as “Underweight” (<20), “Normal” (20–24), “Overweight” (25–29), and “Obese” (≥30).

Laboratory methods – fibrinogen

In ARIC, blood was drawn after an 8-hour fasting period with minimal trauma from an antecubital vein. Samples were processed by a standardized protocol and stored at −70°C until assayed at the ARIC Hemostasis Laboratory at the University of Texas Medical School, Houston, TX. Detailed methods for blood processing and measurement of hemostatic variables have been published elsewhere.15 Fibrinogen was measured by the thrombin-time titration method.16 Reliability coefficients obtained from repeated testing of individuals over several weeks were 0.72 for fibrinogen.16 In CHS, baseline fibrinogen levels in 1989–1990 were measured with a BBL fibrometer (Becton Dickinson, Cockeysville, MD) by the Clauss methods with Dade fibrinogen calibration reference (Baxter-Dade, Bedford, MA) and bovine thrombin (Parke-Davis, Lititz, PA).17

Pulmonary function testing

In both studies, spirometry was conducted using a volume displacement, water-sealed spirometer. At least three acceptable spirograms were obtained from a minimum of five forced expirations. The best single spirogram was identified by computer and confirmed by a technician. Quality assurance was provided by the CHS Pulmonary Function Center for CHS and the ARIC investigators for ARIC, and the procedures followed contemporary American Thoracic Society guidelines.18 Several measures of lung function were used in this analysis: the FEV1, the FVC, and the FEV1/FVC ratio. We used the prediction equations derived from the Third National Health and Nutrition Examination Survey to define the predicted values of FEV1 and FVC.19 We defined a subject as having a respiratory symptom if they reported cough, phlegm, dyspnea, or wheeze.

Definition of outcomes

Death was defined as all-cause mortality. COPD-related hospitalizations were people with hospitalization code of ICD-9 490–496 at any time after baseline. Rapidly declining lung function comprised of people who, between the first and second spirometries, were in the highest quartile of FEV1 decline (determined as an absolute difference in the baseline minus the follow-up FEV1 and divided by the interval between the two tests to obtain FEV1 loss per year). Lung function decline was also determined as a proportion of the baseline FEV1 and relative to the predicted FEV1 at baseline, but only the absolute difference was used in the analyses. We also determined the proportion of people who were unable to obtain a follow-up spirometry. The development of COPD was defined as GOLD Stage 2 or higher disease in people who at baseline did not have GOLD Stage 2 or higher disease.

Statistical analyses

Data analysis was completed with SAS (v 9.2; SAS Institute, Cary, NC) and SUDAAN (v 9.0; RTI, Research Triangle Park, NC). Descriptive statistics and frequency distributions were calculated for the studied population and its relationship to fibrinogen levels and predictors (GOLD Status, CVD, smoking status, diabetes mellitus). Linear regression model using SUDAAN procedure REGRESS was used to determine correlates of fibrinogen levels controlling for age, sex, race/ethnicity, body mass index, smoking status, modified GOLD stage, diabetes, CVD, and educational level. These were replicated examining fibrinogen levels in the top decile (>393.0 mg/dL) using the SUDAAN procedure RLOGIST, controlling for these same potential confounders. Our primary outcome of interest in the survival models was time to death and COPD-related hospitalization. Cox proportional hazard regression models were developed using the SUDAAN procedure SURVIVAL to account for differential follow-up in cohort participants. (Censoring occurred at the date of death on certificate or the date the participant was last known to be alive for mortality, and date of hospitalization or date last known to be alive for COPD-related hospitalization.) The SUDAAN procedure RLOGIST was used to determine the relation between fibrinogen levels and elevated fibrinogen levels and not having a follow-up spirometry, being in the highest quartile of FEV1 decline, and having incident COPD.

Results

The combined cohorts of ARIC and CHS included 20,993 participants at baseline. We excluded 311 who had not obtained fibrinogen levels, 209 who did not have pulmonary function testing done, and 281 subjects missing other key baseline data leaving 20,192 subjects in the combined cohorts. The mean follow-up time was 9.7 years, with a maximum of 12.1 years. By the end of the follow-up time, 2995 subjects (14.8%) had died. Table 1 shows the distribution of age, sex, race/ethnicity, body mass index, smoking status, modified GOLD stage, diabetes mellitus, CVD, and educational level, including the actual numbers of studied subjects and the percentage. This Table also reports the mean fibrinogen levels, the proportion of subjects with fibrinogen levels >393.0 mg/dL, and the deaths per 1000 person-years of follow-up.
Table 1

Demographic characteristics and fibrinogen levels of subjects included in the analysis

Covariaten%Mean fibrinogen level in mg/dL (standard error)Proportion with fibrinogen >393.0 mg/dLDeaths per 1000 person years
Age
 45–49407220.2292.5 (1.0)6.63.8
 50–54396819.7301.1 (1.0)8.56.3
 55–59373918.5308.6 (1.1)9.510.7
 60–64350717.4313.2 (1.1)10.617.6
 65–6812796.3316.0 (1.1)11.618.3
 69–7214657.3319.8 (1.7)13.926.0
 73–769734.8318.9 (1.9)12.537.0
 77–806903.4324.0 (2.6)15.560.0
 >804992.5333.9 (4.8)18.2108.5
Sex
 Male901144.6302.9 (0.7)9.219.8
 Female11,18155.4311.4 (0.6)10.511.8
Race-ethnicity
 White16,02779.4304.1 (0.5)8.715.4
 Black416520.6321.0 (1.1)14.915.0
Body mass index
 <208004.0301.9 (2.5)9.628.2
 20–25626331.0297.7 (0.8)7.715.2
 25–30807340.0305.8 (0.7)9.115.1
 >30505625.0323.8 (1.0)14.213.7
Smoking status
 Current smoker492924.4323.4 (1.0)14.218.6
 Former smoker703634.9302.1 (0.8)8.916.9
 Never smoker822740.7303.0 (0.7)8.212.0
Modified GOLD stage
 Stage 3 or 45852.9336.8 (3.1)19.354.6
 Stage 2222111.0320.7 (1.5)14.125.3
 Stage 1266913.2309.5 (1.3)11.323.2
 Symptoms only437521.7306.0 (1.0)14.013.2
 Restrictive307115.2324.2 (1.3)9.315.8
 None727136.0294.6 (0.7)6.18.2
Diabetes mellitus
 Yes251912.5328.3 (1.5)16.832.6
 No17,67387.5304.7 (0.5)9.013.1
Cardiovascular disease
 Yes307615.3320.4 (1.3)14.033.3
 No17,11684.8305.3 (0.5)9.212.4
Education level
 <12493724.5322.1 (1.0)14.124.3
 12 years636631.5307.0 (0.8)9.512.4
 >13 years888944.0300.0 (0.8)7.912.7
Total20,192100.0307.6 (0.5)9.915.1
Tables 2 and 3 report the correlates of fibrinogen levels (Table 2) and the correlates of elevated fibrinogen levels (Table 3). There was considerable overlap between these two analyses; for example, in both analyses older age, current smoking, and the presence of diabetes or CVD were associated with higher fibrinogen levels. The presence of severe or very severe COPD was one of the strongest predictors of fibrinogen levels, with a mean increase of 24.71 mg/dL (standard error 3.13 mg/dL) in the linear regression models and an odds ratio for elevated fibrinogen of 2.28 (95% confidence interval: 1.79–2.95).
Table 2

Correlates of fibrinogen levels from linear regression models (n = 20,192)

CovariateBeta estimateStandard errorP-value
Age
 45–4900
 50–547.601.32<0.001
 55–5914.821.39<0.001
 60–6419.061.43<0.001
 65–6825.711.97<0.001
 69–7230.901.95<0.001
 73–7631.742.21<0.001
 77–8038.022.83<0.001
 >8051.443.51<0.001
Sex
 Male−7.361.01<0.001
 Female00
Race-ethnicity
 White00
 Black15.391.24<0.001
Body mass index
 <20−5.882.470.017
 20–2500
 25–309.581.04<0.001
 >3024.631.24<0.001
Smoking status
 Current smoker25.601.23<0.001
 Former smoker1.641.040.116
 Never smoker00
GOLD stage
 Stage 3 or 424.713.13<0.001
 Stage 212.041.66<0.001
 Stage 17.681.48<0.001
 Symptoms only15.441.47<0.001
 Restrictive3.051.170.009
 None00
Diabetes mellitus
 Yes11.221.55<0.001
 No00
Cardiovascular disease
 Yes8.191.34<0.001
 No00
Education level
 <127.461.21<0.001
 12 years3.901.01<0.001
 >13 years00
Table 3

Correlates of fibrinogen levels >393 mg/dL (top decile) from logistic regression models (n = 20,192)

CovariateOdds ratio95% confidence interval
Age
 45–491.001.00
 50–541.30(1.09, 1.54)
 55–591.42(1.19, 1.68)
 60–641.62(1.36, 1.93)
 65–682.01(1.59, 2.53)
 69–722.67(2.16, 3.30)
 73–762.44(1.90, 3.14)
 77–803.29(2.51, 4.29)
 >804.48(3.36, 5.98)
Sex
 Male0.93(0.83, 1.04)
 Female1.001.00
Race-ethnicity
 White1.001.00
 Black1.99(1.77, 2.24)
Body mass index
 <200.97(0.74, 1.26)
 20–251.001.00
 25–301.23(1.08, 1.40)
 >301.91(1.67, 2.19)
Smoking status
 Current smoker2.12(1.86, 2.41)
 Former smoker1.16(1.02, 1.31)
 Never smoker1.001.00
GOLD stage
 Stage 3 or 42.28(1.79, 2.95)
 Stage 21.77(1.52, 2.14)
 Stage 11.59(1.34, 1.88)
 Symptoms only1.77(1.55, 2.13)
 Restrictive1.23(1.07, 1.44)
 None1.001.00
Diabetes mellitus
 Yes1.47(1.29, 1.67)
 No1.001.00
Cardiovascular disease
 Yes1.29(1.14, 1.46)
 No1.001.00
Education level
 <121.26(1.11, 1.42)
 12 Years1.18(1.05, 1.33)
 >13 years1.001.00
Table 4 shows the proportion of participants with the outcomes of interest. During follow-up, 14.8% of the cohort died, 7.5% experienced a COPD-related hospitalization, and 16.3% did not obtain a follow-up spirometry. The table also shows 16,935 subjects had a follow-up spirometry and of these, 14,848 did not have Stage 2 or higher COPD at baseline. Of the latter, 4.9% were found to have Stage 2 or higher COPD in follow-up.
Table 4

Proportion of subjects with the outcome of interest: death, any COPD-related hospitalization during follow-up, those missing follow-up spirometry, highest quartile of FEV1 decline, and incident Stage 2 or higher COPD (among those free of COPD at baseline)

CovariateDeathn = 20,192COPD-related hospitalizationn = 20,192Missing follow-up spirometryn = 20,192Highest quartile of FEV1 declinen = 16,935Incident Stage 2 COPDn = 14,848
Age
 45–493.91.110.524.42.7
 50–546.42.410.326.13.1
 55–5910.64.410.926.64.4
 60–6416.97.914.127.95.4
 65–6817.815.621.822.48.9
 69–7224.418.425.721.99.2
 73–7633.020.431.919.910.5
 77–8048.122.940.718.813.7
 >8072.119.460.118.810.7
Sex
 Male11.76.015.818.64.5
 Female18.89.316.833.35.3
Race-ethnicity
 White14.98.614.926.15.4
 Black14.53.221.521.13.1
Body mass index
 <2025.815.323.022.57.9
 20–2514.87.916.024.65.7
 25–3014.76.915.226.24.7
 >3013.46.617.224.44.0
Smoking status
 Current smoker17.812.319.231.08.6
 Former smoker16.38.716.126.35.1
 Never smoker11.83.614.720.82.9
GOLD stage
 Stage 3 or 444.846.538.319.6N/A
 Stage 223.519.623.525.5N/A
 Stage 121.610.619.631.715.0
 Symptoms only13.04.314.427.02.6
 Restrictive15.36.519.213.48.3
 None8.21.811.026.61.6
Diabetes mellitus
 Yes29.010.327.023.55.9
 No12.87.114.725.34.8
Cardiovascular disease
 Yes29.615.825.727.97.5
 No12.26.014.624.74.5
Education level
 <1222.611.825.723.45.8
 12 years12.16.914.324.85.1
 >13 years12.55.412.526.24.3
Fibrinogen >393
 Yes28.514.829.125.38.4
 No13.36.714.925.14.6
 Total14.87.516.325.14.9

Abbreviations: COPD, chronic obstructive pulmonary disease; FEV1, forced expiratory volume in 1 second.

The quartiles of lung function change are displayed in Table 5. The most rapidly declining quartile lost 127 mL of FEV1 annually, corresponding to 4.7% (annually) of their baseline value and 4.3% of their predicted baseline value.
Table 5

Quartiles of lung function decline among subjects who had baseline and follow-up pulmonary function measurement (n = 16,935) and baseline FEV1, the mean annualized change in their absolute FEV1, annualized FEV1 change as a percentage of the baseline value, and annualized FEV1 change as a percentage of the baseline predicted FEV1 value

FEV1 change quartilesnBaseline FEV1 (percent predicted)Change in FEV1 (SD)Change in FEV1 as percentage of baseline (SD)Change in FEV1 as percentage of predicted (SD)
1432298.1−127 (63)−4.7 (2.6)−4.3 (2.2)
2430693.9−61 (10)−2.4 (0.9)−2.2 (0.5)
3430791.2−28 (9)−1.2 (0.6)−1.0 (0.4)
4431088.033 (72)1.9 (6.0)1.2 (2.8)

Abbreviations: FEV1, forced expiratory volume in 1 second; SD, standard deviation.

Table 6 displays the unadjusted and fully adjusted models for either continuous fibrinogen or elevated fibrinogen (>393 mg/dL) predicting death, COPD-related hospitalization, missing spirometry, rapidly declining lung function, and incident COPD. Fibrinogen was a significant predictor of all of these outcomes with the exception of being in the most rapidly declining FEV1 quartile.
Table 6

Results of unadjusted and fully adjusted logistic and Cox proportional hazards models predicting death, any COPD-related hospitalization during follow-up, those missing follow-up spirometry, highest quartile of FEV1 decline, and incident Stage 2 or higher COPD (among those free of COPD at baseline), with fibrinogen (per 100 mg/dL increase) or fibrinogen >393 mg/dL as the main predictors

OutcomeRisk per 100 mg/dL increase in fibrinogen (unadjusted)Risk per 100 mg/dL increase in fibrinogen (adjusted)*Risk among subjects with fibrinogen levels >393 mg/dL (unadjusted)Risk among subjects with fibrinogen levels >393 mg/dL (adjusted)*
Deathn = 20,192Hazard ratio (95% confidence interval)1.69 (1.62, 1.77)1.31 (1.24, 1.38)2.39 (2.18, 2.62)1.54 (1.39, 1.70)
COPD-related hospitalizationn = 20,192Hazard ratio (95% confidence interval)1.76 (1.66, 1.87)1.30 (1.21, 1.39)2.52 (2.22, 2.87)1.45 (1.27, 1.67)
Missing follow-up spirometryn = 20,192Odds ratio (95% confidence interval)1.67 (1.58, 1.76)1.25 (1.18, 1.33)2.35 (2.12, 2.61)1.52 (1.35, 1.71)
Highest quartile of FEV1 declinen = 16,935odds ratio (95% confidence interval)1.00 (0.95, 1.06)1.07 (1.01, 1.14)1.01 (0.89, 1.14)1.08 (0.95, 1.23)
Incident Stage 2 COPDn = 14,848Odds ratio (95% confidence interval)1.49 (1.34, 1.65)1.17 (1.03, 1.33)1.90 (1.52, 2.38)1.36 (1.07, 1.74)

Note:

Adjusted for age, sex, race, education level, body mass index, smoking status, diabetes mellitus, cardiovascular disease, and GOLD stage.

Abbreviations: COPD, chronic obstructive pulmonary disease; FEV1, forced expiratory volume in 1 second.

Figures 1–3 depict the interaction between fibrinogen levels >393 mg/dL and modified GOLD stage in predicting mortality, COPD-related hospitalization, and incident COPD.
Figure 1

Risk of mortality by modified GOLD stage and elevated fibrinogen level.

Abbreviations: ARIC, Atherosclerosis Risk in Communities Study; CHS, Cardiovascular Health Study; GOLD, Global Initiative on Chronic Obstructive Lung Disease.

Figure 3

Risk of incident chronic obstructive pulmonary disease by modified GOLD stage and elevated fibrinogen level.

Abbreviations: ARIC, Atherosclerosis Risk in Communities Study; CHS, Cardiovascular Health Study; GOLD, Global Initiative on Chronic Obstructive Lung Disease.

Discussion

This analysis determined that fibrinogen levels were related to spirometrically determined obstructive lung disease, with evidence of a dose-response effect for COPD. Subjects with more advanced COPD (Stages 3 or 4) had a greater elevation in fibrinogen (24.71 mg/dL, P = 0.0000) than GOLD Stage 2 or GOLD Stage 1 disease (12.04 mg/dL, P = 0.0000 and 7.68 mg/dL, P = 0.0000 respectively), relative to people with normal lung function. In addition, we determined that higher fibrinogen levels were related to an increased risk of death, COPD-related hospitalization, and the development of COPD. Our findings are consistent with those of Dahl et al9 who showed that increased levels of plasma fibrinogen were associated with reduced lung function and increased risk of COPD, independent of smoking status. Jiang et al20 also found that higher levels of baseline fibrinogen were cross- sectionally associated with lower lung function and greater longitudinal declines in FEV1/FVC ratio in the elderly. Two population based studies21,22 showed that stable COPD patients have a pro-inflammatory state with increased levels of acute-phase reactants. Kalhan et al8 found that participants in the highest year 7 fibrinogen had greater FEV1 and FVC decline. This analysis demonstrates that fibrinogen levels in this cohort were significantly related to a number of factors, including age, sex, race/ethnicity, current smoking status, overweight and obesity, presence of chronic diseases such as CVD, diabetes mellitus, and COPD. A previous study22 has shown that obstructive and restrictive lung diseases were predictors of increased levels of plasma fibrinogen. As fibrinogen levels were only determined at baseline we cannot speculate whether elevated fibrinogen caused COPD or COPD caused elevated levels of fibrinogen. It is still unknown and uncertain how and why individuals with COPD develop systemic inflammation. Whatever is the mechanism of COPD development, previous studies have shown individuals with accelerated decline in lung function are at an increased risk of COPD hospitalizations in the future. Engstrom et al showed increased incidence of hospital admissions for COPD in those with raised fibrinogen.23 We have demonstrated an effect of elevated fibrinogen on mortality, COPD-hospitalizations, and incident Stage 2 COPD in the overall cohort (Table 6). The finding of elevated fibrinogen and the higher risk of mortality, COPD- hospitalizations, and incident Stage 2 COPD raises an option that fibrinogen could be used as a biomarker of disease activity in COPD and potential target for therapeutic interventions. To our knowledge, this is one of the few studies with follow-up data, and although fibrinogen level was only available at baseline, partial temporal association of fibrinogen and lung function can be taken into account, although other cohort studies with lung specimens, exacerbations, and imaging are needed to validate the findings. The study has adequate sample size and power. Bias due to investigator’s knowledge of disease or risk factor seems unlikely since plasma fibrinogen was measured without the knowledge of lung function test results or disease status of subjects. This analysis has several limitations. Analysis was only done using baseline fibrinogen levels, as follow-up fibrinogen levels were not available on all subjects. Another limitation is the unavailability of post-bronchodilator lung function- measurement, information on COPD exacerbations other than hospitalized exacerbations, and lung imaging for COPD. Not all subjects completed pulmonary function testing, biasing our sample towards a healthier population. In addition, although we have adjusted for potential confounders there remains residual confounding due to COPD disease pathology based on genetic constitution, nutritional intake, environmental exposures, alcohol intake, and other infections causing systemic inflammation. These findings need to be replicated in other cohorts, including those with longitudinal measurements of fibrinogen.

Conclusion

In conclusion, we have demonstrated that elevated plasma fibrinogen was associated with COPD; predicting higher risk of mortality, COPD-hospitalizations, and incident Stage 2 disease. Fibrinogen can serve as a biomarker of the systemic component of COPD and may provide an option for targeting of interventions to patients with evidence of systemic inflammation or provide a means of stratifying patients in clinical trials. Future research is needed to evaluate whether targeted reduction in plasma fibrinogen levels will result in better COPD outcomes.
  22 in total

1.  Elevated plasma fibrinogen associated with reduced pulmonary function and increased risk of chronic obstructive pulmonary disease.

Authors:  M Dahl; A Tybjaerg-Hansen; J Vestbo; P Lange; B G Nordestgaard
Journal:  Am J Respir Crit Care Med       Date:  2001-09-15       Impact factor: 21.405

2.  Obstructive and restrictive lung disease and markers of inflammation: data from the Third National Health and Nutrition Examination.

Authors:  David M Mannino; Earl S Ford; Stephen C Redd
Journal:  Am J Med       Date:  2003-06-15       Impact factor: 4.965

3.  The British hypothesis revisited.

Authors:  N R Anthonisen
Journal:  Eur Respir J       Date:  2004-05       Impact factor: 16.671

Review 4.  Global burden of COPD: risk factors, prevalence, and future trends.

Authors:  David M Mannino; A Sonia Buist
Journal:  Lancet       Date:  2007-09-01       Impact factor: 79.321

5.  The Cardiovascular Health Study: design and rationale.

Authors:  L P Fried; N O Borhani; P Enright; C D Furberg; J M Gardin; R A Kronmal; L H Kuller; T A Manolio; M B Mittelmark; A Newman
Journal:  Ann Epidemiol       Date:  1991-02       Impact factor: 3.797

Review 6.  Update on the "Dutch hypothesis" for chronic respiratory disease.

Authors:  J Vestbo; E Prescott
Journal:  Thorax       Date:  1998-08       Impact factor: 9.139

7.  Inflammatory markers and longitudinal lung function decline in the elderly.

Authors:  Rui Jiang; Gregory L Burke; Paul L Enright; Anne B Newman; Helene G Margolis; Mary Cushman; Russell P Tracy; Yuanjia Wang; Richard A Kronmal; R Graham Barr
Journal:  Am J Epidemiol       Date:  2008-08-06       Impact factor: 4.897

8.  Short-term intraindividual variability in hemostasis factors. The ARIC Study. Atherosclerosis Risk in Communities Intraindividual Variability Study.

Authors:  L E Chambless; R McMahon; K Wu; A Folsom; A Finch; Y L Shen
Journal:  Ann Epidemiol       Date:  1992-09       Impact factor: 3.797

9.  Increased systemic inflammation is a risk factor for COPD exacerbations.

Authors:  Karin H Groenewegen; Dirkje S Postma; Wim C J Hop; Pascal L M L Wielders; Noel J J Schlösser; Emiel F M Wouters
Journal:  Chest       Date:  2008-01-15       Impact factor: 9.410

10.  The association of sensitive systemic inflammation markers with bronchial asthma.

Authors:  Pekka Jousilahti; Veikko Salomaa; Katri Hakala; Vesa Rasi; Elina Vahtera; Timo Palosuo
Journal:  Ann Allergy Asthma Immunol       Date:  2002-10       Impact factor: 6.347

View more
  12 in total

1.  Plasma Fibrinogen as a Biomarker for Mortality and Hospitalized Exacerbations in People with COPD.

Authors:  David M Mannino; Ruth Tal-Singer; David A Lomas; Jorgen Vestbo; R Graham Barr; Kay Tetzlaff; Michael Lowings; Stephen I Rennard; Jeffrey Snyder; Mitchell Goldman; Ubaldo J Martin; Deborah Merrill; Amber L Martin; Jason C Simeone; Kyle Fahrbach; Brian Murphy; Nancy Leidy; Bruce Miller
Journal:  Chronic Obstr Pulm Dis       Date:  2015

Review 2.  Disease phenotyping in chronic obstructive pulmonary disease: the neutrophilic endotype.

Authors:  Derek W Russell; J Michael Wells; J Edwin Blalock
Journal:  Curr Opin Pulm Med       Date:  2016-03       Impact factor: 3.155

3.  Chronic obstructive pulmonary disease as a cardiovascular risk factor. Results of a case-control study (CONSISTE study).

Authors:  Pilar de Lucas-Ramos; Jose Luis Izquierdo-Alonso; Jose Miguel Rodriguez-Gonzalez Moro; Jesus Fernandez Frances; Paz Vaquero Lozano; Jose M Bellón-Cano
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2012-10-01

4.  Fibrinogen as a potential biomarker for clinical phenotype in patients with chronic obstructive pulmonary disease.

Authors:  Tae Hoon Kim; Dong Kyu Oh; Yeon-Mok Oh; Sei Won Lee; Sang Do Lee; Jae Seung Lee
Journal:  J Thorac Dis       Date:  2018-09       Impact factor: 3.005

Review 5.  Inflammatory Markers and the Risk of Chronic Obstructive Pulmonary Disease: A Systematic Review and Meta-Analysis.

Authors:  Bin Su; Tiansheng Liu; Haojun Fan; Feng Chen; Hui Ding; Zhouwei Wu; Hongwu Wang; Shike Hou
Journal:  PLoS One       Date:  2016-04-22       Impact factor: 3.240

6.  Biomarkers and clinical outcomes in COPD: a systematic review and meta-analysis.

Authors:  Jilles M Fermont; Katya L Masconi; Magnus T Jensen; Renata Ferrari; Valéria A P Di Lorenzo; Jacob M Marott; Philipp Schuetz; Henrik Watz; Benjamin Waschki; Hana Müllerova; Michael I Polkey; Ian B Wilkinson; Angela M Wood
Journal:  Thorax       Date:  2019-01-07       Impact factor: 9.139

Review 7.  Blood fibrinogen as a biomarker of chronic obstructive pulmonary disease.

Authors:  Annelyse Duvoix; Jenny Dickens; Imran Haq; David Mannino; Bruce Miller; Ruth Tal-Singer; David A Lomas
Journal:  Thorax       Date:  2012-06-28       Impact factor: 9.139

8.  Relationship between plasma fibrinogen levels and pulmonary function in the japanese population: the Takahata study.

Authors:  Yoko Shibata; Shuichi Abe; Sumito Inoue; Akira Igarashi; Keiko Yamauchi; Yasuko Aida; Hiroyuki Kishi; Keiko Nunomiya; Hiroshi Nakano; Masamichi Sato; Kento Sato; Tomomi Kimura; Takako Nemoto; Tetsu Watanabe; Tsuneo Konta; Yoshiyuki Ueno; Takeo Kato; Takamasa Kayama; Isao Kubota
Journal:  Int J Med Sci       Date:  2013-09-01       Impact factor: 3.738

Review 9.  Surfactant protein D, Club cell protein 16, Pulmonary and activation-regulated chemokine, C-reactive protein, and Fibrinogen biomarker variation in chronic obstructive lung disease.

Authors:  Sofie Lock-Johansson; Jørgen Vestbo; Grith Lykke Sorensen
Journal:  Respir Res       Date:  2014-11-25

10.  Fibrinogen is a promising biomarker for chronic obstructive pulmonary disease: evidence from a meta-analysis.

Authors:  Bo Zhou; Shufang Liu; Danni He; Kundi Wang; Yunfeng Wang; Ting Yang; Qi Zhang; Zhixin Zhang; Wenquan Niu
Journal:  Biosci Rep       Date:  2020-07-31       Impact factor: 3.840

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.