Metabolic Syndrome in Early Chronic Obstructive Pulmonary Disease: Gender Differences and Impact on Exacerbation and Medical Costs.

Background: Metabolic syndrome (MetS) is a well-known comorbidity of chronic obstructive pulmonary disease (COPD). However, their interrelationship, particularly in early COPD, remains unclear. Therefore, we aimed to assess the prevalence and clinical characteristics of MetS in patients with early COPD, and to explore the impact of MetS on the frequency of COPD exacerbations and associated medical costs. Patients and methods: We retrospectively enrolled 43,874 subjects from the KNHANES, including 2164 patients with early COPD (≥40 years old), recorded smoking history, and Global Initiative for Chronic Obstructive Lung Disease spirometric grade I or II, with data linked to the NHI database. We extracted and analyzed data regarding health-care utilization and medical costs for 5 years (2007 to 2012).
Results: Among 2164 patients with early COPD, the prevalence of MetS was 31.2%, and it was higher in women than in men (35.1% vs. 26.6%; P<0.001). Patients with MetS were older and had lower pulmonary function and greater number of comorbidities. The frequency of moderate-to-severe COPD exacerbations for 5 years was significantly higher in women with MetS than in those without MetS (5.8/year vs. 4.9/year; P=0.02). After adjusting for confounding factors, the risk for moderate-to-severe exacerbation was significantly greater in women with MetS (IRR, 1.17; 95% CI, 1.01 to 1.36; P=0.03). COPD exacerbations leading to hospitalization and medical expenses were also higher in women with MetS than in those without MetS.
Conclusion: MetS is more prevalent in women with early COPD. MetS increased the frequency of exacerbations and the medical costs in women with early COPD.

Plain Language Summary

Metabolic syndrome is a comorbidity of COPD and increases medical costs. Does metabolic syndrome increase the acute exacerbations of early COPD? Interrelationships between metabolic syndrome and early COPD remain unclear. This paper presents the first analysis that metabolic syndrome increases the acute exacerbations and medical costs in patients with early COPD, especially in women.

Introduction

Chronic obstructive pulmonary disease (COPD) is characterized by airway inflammation, alveolar destruction, and airflow limitation.1 Peripheral lung inflammation may cause the “spill-over” of inflammatory markers into the systemic circulation, leading to extrapulmonary comorbidities such as cardiovascular disease (CVD), musculoskeletal wasting, osteoporosis, psychological disorders, and metabolic syndrome (MetS).2,3 Alternatively, smoking causes systemic inflammation and COPD, and genetic susceptibility or inflammatory response may have a link to triggers between systemic inflammation and COPD.2,3 Thus, COPD is considered a pulmonary component of multiple morbidities.1–3 Previous studies have shown that these comorbidities, especially CVD, diabetes, and MetS, are associated not only with a higher risk of hospitalization and mortality4 but also with the increased economic burden of COPD.5,6 The management of patients with COPD must include the identification and treatment of its comorbidities,1 as these have a significant impact on COPD prognosis.1

MetS is characterized by the clustering of central obesity, hypertension, dyslipidemia, and hyperglycemia that predisposes patients to CVD.7 It is a representative group of conditions with systemic inflammation, which is a potential mechanism responsible for both COPD and MetS.2,3 The prevalence of MetS differs according to the sex, race, and age-group in the general population.8 The Global Initiative for Chronic Obstructive Lung Disease (GOLD) report of 2017 stated that the prevalence of MetS in COPD was estimated to be more than 30%,1 and that MetS was more frequent in patients with COPD than in controls.9 Moreover, a previous systematic review reported sex differences, showing that patients with COPD and MetS were more frequently women.9 The prevalence of MetS is also higher in early (mild-to-moderate stage) COPD10 and decreases with COPD progression.10,11 Most patients with COPD have early COPD, and their prognosis can be easily improved if they are provided early treatment.

Despite this crucial relationship, studies on MetS in COPD, particularly early COPD, are limited. A few studies reported that MetS increases the frequency of acute exacerbations.11,12 However, these studies either included patients with COPD admitted for exacerbations at a single center11 or reported preliminary results.12 Therefore, we aimed to investigate the prevalence of MetS in early COPD, to determine the relationship between MetS and the frequency of exacerbations in early COPD, and to assess the impact of MetS on COPD-related costs by using data from a national survey.

Materials and Methods

Study Design and Patients

This was a retrospective observational study. Data were obtained from the Korean National Health and Nutrition Examination Survey (KNHANES) (2007 to 2012) database. The KNHANES was a cross-sectional observational national study conducted by the Ministry of Health and Welfare of Korea in 2007. The KNHANES used a complex and stratified multistage cluster sampling to select a representative nationwide sample of the Korean population. Eligible patients were selected from the KNHANES database and were linked to the National Health Insurance (NHI) database. The researchers were blinded to the personal identity of all patients and they were provided only the merged data lacking any personal identification information.

The NHI database was analyzed to obtain the medical utilization and cost data of patients with early COPD selected from the KNHANES. For outpatients, the analysis was confined to visits with the International Classification of Diseases, Tenth Edition (ICD-10) codes for COPD (J42.x-J44.x, except J43.0) with a prescription of COPD-related medication. For inpatients, the analysis was confined to the ICD-10 codes for COPD (J42.x-J44.x, except J43.0) or COPD-related disease (pneumonia: J12.x-J17.x; dyspnea: R06.0; pulmonary thromboembolism: I26 or I26.0; or acute respiratory distress syndrome: J80) as from our previous studies. Moderate exacerbation of COPD was defined as medical utilization for the above ICD-10 codes and with a prescription for antibiotics or systemic corticosteroids. Severe exacerbation of COPD was defined as an emergency room visit or hospitalization for the above ICD-10 codes and with a prescription for antibiotics or systemic corticosteroids. For the patients with COPD enrolled to the KNHANES in 2007 (baseline), the outcome of exacerbation was prospectively assessed until 2012 for 5 years (follow-up), and for those enrolled to the KNHANES in 2012, the outcome of severe exacerbation was retrospectively assessed to 2007 (baseline) for 5 years (follow-up).

Patients

Patients with early COPD were selected from the KNHANES (2007 to 2012) database. All the subjects over 20 years old in KNAHNS performed spirometry. The inclusion criteria were 1) age ≥40 years; 2) forced expiratory volume in 1 second (FEV1)/forced vital capacity (FVC) <0.7; 3) FEV1 ≥ 50%; and 4) a recorded smoking history. They had no history of COPD or asthma diagnosis before study enrollment. MetS in patients with early COPD was defined on the basis of the National Cholesterol Education Program Adult Treatment Panel III,7 and we used ethnicity-specific values for waist circumference based on data from the Korean Society for the Study of Obesity (KOSSO).13 MetS was defined on the basis of the presence of ≥3 of the following factors:7 abdominal circumference >90 cm for men and >85 cm for women based on the KOSSO cutoff points;14 elevated triglyceride (TG) level (≥1.7 mmol/L, or drug treatment for elevated TG levels); reduced high-density lipoprotein cholesterol (HDL-C) level (<1.0 mmol/L for men or <1.3 mmol/L for women, or drug treatment for reduced HDL-C); elevated blood pressure (≥130 mmHg systolic or ≥85 mmHg diastolic, or antihypertensive drug treatment for patients with a history of hypertension); and an elevated fasting plasma glucose concentration (≥5.6 mmol/L, or drug treatment for diabetes).7

Data Collection

We obtained information such as age, sex, smoking history (in number of pack-years), blood pressure, body mass index (BMI), abdominal circumference, glucose level, lung function, and laboratory data (TG and HDL-C) from the KNHANES database. Information on comorbidities, history of exacerbation, and COPD-related medical costs were obtained by linking the KNHANES database to the NHI database. Comorbidities were identified using the ICD-10 codes. The codes for hypertension were I10–I15; diabetes, E10–E14; ischemic heart disease (IHD), I20–I25; congestive heart failure (CHF), I50; peripheral vascular disease (PVD), I73; osteoporosis, M80–M81; gastroesophageal reflux disease (GERD), K21; and depression, F32–F33.

Data Analysis

Baseline characteristics were expressed as mean±standard deviation for continuous variables and as frequencies (percentages) for categorical variables. Differences between groups were analyzed using the chi-square test for categorical variables and Student’s t-test for continuous variables. The difference in the prevalence of MetS between the sexes was determined using chi-square tests. The risk of exacerbations between patients with and without MetS was compared using negative binomial regression. The result estimates were expressed using incidence rate ratios (IRRs) with 95% confidence intervals (CIs). The IRR of Model 1 was adjusted for age, sex, and FEV1, and the RR of Model 2 was adjusted for age, sex, number of pack-years smoked, and FEV1. All tests were two-sided, and P-values <0.05 were considered statistically significant. All statistical analyses were performed using SAS version 9.2 software (SAS Institute Inc., Cary, NC, USA).

Results

Prevalence of MetS

The study flowchart is shown in . In total, 2164 patients with early COPD were identified from the KNHANES database. The overall prevalence of MetS in early COPD was 31.2% (Table 1). The prevalence of MetS tended to increase significantly according to the decrease in the quartile of FVC % predicted. The quartile of FEV1% predicted showed no significant relationship with MetS (Table 1). The prevalence of MetS components in early COPD was 59.7% for hypertension, 47.3% for HDL-C criteria, 39.8% for TG criteria, 29.8% for abdominal circumference, and 12.8% for glycemia ().

Table 1

Baseline Characteristics of Patients with Early COPD

Variable	Total	No MetS	MetS	P value
Total	2164	1489 (68.8)	675 (31.2)
Age, years	64.6±9.9	63.8±10.2	66.2±9.1	<0.001
Sex, male	1566 (72.4)	1101 (73.9)	465 (68.9)	0.015
BMI, kg/m2	23.5±2.8	22.9±2.5	25.0±2.7	<0.001
BMI ≥ 25 kg/m2	1549 (71.6)	283 (19.0)	332 (49.2)	<0.001
Participants with a smoking history	1504 (69.5)	1055 (70.9)	449 (66.5)	0.043
Smoking history, pack-years	21.0±23.0	21.11±22.7	21.0±23.9	0.950
SBP, mmHg	126.8±17.5	124.4±17.7	131.5±15.9	<0.001
DBP, mmHg	77.4±10.3	76.3±1.0	78.9±11.2	<0.001
Abdominal circumference, cm	84.9±8.1	82.7±7.9	89.0±7.7	<0.001
TG, mg/dL	155.5±36.2	124.6±36.3	186.5±36.2	<0.001
HDL-C, mg/dL	44.5±9.95	48.9±11.1	40.2±8.8	<0.001
Glucose, mg/dL	102.4±23.5	97.6±16.0	113.0±32.4	<0.001
Diabetes	776 (35.9)	408 (27.4)	368 (54.5)	<0.001
Hypertension	1178 (54.4)	649 (43.6)	529 (78.4)	<0.001
IHD	218 (10.1)	117 (7.9)	101 (15.0)	<0.001
CHF	120 (5.6)	75 (5.0)	45 (6.7)	0.125
PVD	575 (26.6)	356 (23.9)	219 (32.4)	<0.001
Arthritis	279 (12.9)	173 (11.6)	106 (15.7)	0.009
Osteoporosis	464 (21.4)	305(20.5)	159(23.6)	0.107
GERD	1167 (53.9)	812 (54.5)	355 (52.6)	0.401
Depression	339 (15.7)	217 (14.6)	122 (18.1)	0.038
FEV1/FVC	0.64±0.06	0.64±0.06	0.64±0.06	0 0.181
FVC, L	3.53±0.87	3.63±0.83	3.44±0.92	<0.001
FVC, % predicted	89.91±3.38	91.9±13.26	87.9±13.5	<0.001
FVC, % predicted				<0.001
First quartile		325 (21.8)	216 (32.0)
Second quartile		346 (23.2)	195 (28.9)
Third quartile		404 (27.1)	137 (20.3)
Fourth quartile		414 (27.8)	127 (18.8)
FEV1, L	2.25±0.61	2.31±0.61	2.2±0.61	<0.001
FEV1, % predicted	78.5±13.5	79.1±13.5	77.9±13.5	0.048
FEV1, % predicted				0.370
First quartile		360 (24.2)	181 (26.8)
Second quartile		366 (24.6)	175 (25.9)
Third quartile		383 (25.7)	158 (23.4)
Fourth quartile		380 (25.5)	161 (23.9)

Note: Data are expressed as mean±standard deviation or number (%) as appropriate.

Abbreviations: COPD, chronic obstructive pulmonary disease; MetS, metabolic syndrome; BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; TG, triglyceride; HDL-C, high-density lipoprotein cholesterol; IHD, ischemic heart disease; CHF, congestive heart failure; PVD, peripheral vascular disease; GERD, gastroesophageal reflux disease; FEV1, forced expiratory volume in 1 second; FVC, forced vital capacity.

Characteristics of Patients with Early COPD According to MetS

The patients’ characteristics on the survey data are summarized in Table 1. The patients with MetS were significantly older and more obese than were those without MetS. Number of pack-years smoked was smaller in patients with MetS than in those without MetS. The number of women with COPD and MetS was greater than that of women with COPD but without MetS (31.1% vs. 26.1%; P=0.01). The most common comorbidity in MetS was hypertension (78.4%), followed by diabetes (54.5%), GERD (52.6%), PVD (32.4%), and osteoporosis (23.6%). The most common comorbidity in patients without MetS was GERD (54.5%), followed by hypertension (43.6%), diabetes (27.4%), PVD (23.9%), and osteoporosis (20.5%). FVC liters and % predicted and FEV1 liters and % predicted were significantly lower in patients with MetS than in those without MetS (Table 1).

Sex Differences in the Prevalence of MetS in Early COPD

The prevalence of MetS was 26.7% in men and 35.1% in women (P<0.001) (Table 2). The mean age and BMI were higher in MetS for both men and women (both P<0.001) (Table 2). Ages and frequencies of arthritis were significantly higher in women with MetS. Number of pack-years smoked was smaller in women than in men (Table 2).

Table 2

Sex Differences in MetS in Early COPD

Variable	Men (n=1566)			Women (n=598)
No MetS	MetS	P value	No MetS	MetS	P value
Total	1101 (73.4)	465 (26.6)	<0.001	388 (64.9)	210 (35.1)	<0.001
Age, years	64.2±9.8	65.1±9.40	0.110	62.8±11.0	68.7±8.0	<0.001
BMI, kg/m2	23.0±2.4	24.9±2.5	<0.001	22.6±2.7	25.1±3.1	<0.001
BMI ≥ 25 kg/m2	219 (19.9)	225 (48.4)	<0.001	64 (16.5)	107 (51.0)	<0.001
Participants with a smoking history	986 (89.6)	423 (91.0)	0.395	69 (17.8)	26 (12.4)	0.085
Smoking history, pack-years	27.7±22.6	29.8±23.6	0.087	2.4±7.7	1.5±5.3	0.087
SBP, mmHg	125.0±16.7	131.1±14.9	<0.001	121.8±18.9	132.0±15.6	<0.001
DBP, mmHg	77.4±10.1	79.4±11.3	0.001	74.3±10.0	76.7±10.3	0.007
Abdominal circumference, cm	83.7±7.3	90.3±7.2	<0.001	78.0±7.8	87.3±8.4	<0.001
TG, mg/dL	131.0±102.9	222.8±173.7	<0.001	106.7±55.3	185.6±106.1	<0.001
HDL, mg/dL	47.6±10.6	38.9±8.5	<0.001	52.4±11.7	43.1±8.9	<0.001
Glucose	98.8±17.0	114.6±32.4	<0.001	94.4±12.4	109.5±32.1	<0.001
Diabetes	316 (28.7)	252 (54.2)	<0.001	92 (23.7)	116 (55.2)	<0.001
Hypertension	493 (44.8)	355 (76.3)	<0.001	156 (40.2)	174 (82.9)	<0.001
IHD	94 (8.5)	68 (14.6)	<0.001	23 (5.9)	33 (15.7)	<0.001
CHF	55 (5.0)	21 (4.5)	0.687	20 (50.2)	24 (11.4)	0.005
PVD	258 (23.4)	138 (29.7)	0.009	98 (25.3)	81 (38.6)	<0.001
Arthritis	104 (9.5)	48 (10.3)	0.592	69 (17.8)	58 (27.6)	0.005
Osteoporosis	125 (11.4)	49 (10.5)	0.639	180 (46.4)	110 (52.4)	0.162
GERD	583 (53.0)	243 (52.3)	0.802	229 (59.0)	112 (53.3)	0.180
Depression	154 (14.0)	67 (14.4)	0.827	63 (16.2)	55 (26.2)	0.004

Notes: Data are expressed as mean±standard deviation or number (%) as appropriate.

Abbreviations: MetS, metabolic syndrome; COPD, chronic obstructive pulmonary disease; BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; TG, triglyceride; HDL-C, high-density lipoprotein cholesterol; IHD, ischemic heart disease; CHF, congestive heart failure; PVD, peripheral vascular disease; GERD, gastroesophageal reflux disease.

COPD Exacerbations and MetS

Differences in moderate-to-severe exacerbations of COPD between patients with and without MetS are shown in Table 3. No differences were observed in the frequencies of moderate-to-severe exacerbations at baseline and follow-up between patients with and without MetS. However, in women, moderate-to-severe exacerbations at baseline were higher in those with MetS than in those without MetS (4.5/year vs. 3.7/year; P=0.03) (Table 3). Moreover, during the 5-year follow-up, moderate-to-severe exacerbations were significantly higher only in women with MetS than in those without MetS (5.8/year vs. 4.9/year; P=0.02) (Table 3).

Table 3

Moderate-to-Severe Exacerbations of COPD and MetS

Variable	Exacerbation
	Baseline		Follow-Up After 5 Years
Moderate-to-Severe Exacerbation	Severe Exacerbation	Moderate-to-Severe Exacerbation	Severe Exacerbation
Total, n	3.5±4.4	0.1±0.4	4.7±5.0	0.1±0.3
No MetS	3.4±4.5	0.1±0.4	4.6±5.1	0.1±0.3
MetS	3.6±4.2	0.1±0.3	4.9±4.6	0.1±0.02
P value	0.41	0.97	0.10	0.59
Men
No MetS	3.3±4.6	0.1±0.4	4.5±5.2	0.1±0.3
MetS	3.2±4.0	0.1±0.3	4.5±4.6	0.1±0.2
P value	0.50	0.23	0.78	0.43
Women
No MetS	3.7±4.3	0.1±0.3	4.9±4.9	0.1±0.2
MetS	4.5±4.6	0.1±0.5	5.8±4.4	0.1±0.2
P value	0.03	0.14	0.02	0.85

Note: Data are expressed as mean±standard deviation.

Abbreviations: COPD, chronic obstructive pulmonary disease; MetS, metabolic syndrome.

The crude IRR of moderate-to-severe exacerbations during the 5 years in patients with MetS was significantly higher only in women with MetS than in those without MetS (IRR, 1.19; 95% CI, 1.03 to 1.37; P=0.01) (Figure 1). After adjusting for age, sex, and FEV1% predicted (Model 1), the IRR was 1.15 (95% CI, 1.00 to 1.34; P=0.04) in women, and after adjusting for age, sex, number of pack-years smoked, and FEV1% predicted (Model 2), the IRR was 1.17 (95% CI, 1.01 to 1.36; P=0.03) in women (Figure 1).

Figure 1

Incidence rate ratio (IRR) of exacerbations in patients with metabolic syndrome for 5 years. Model 1 was adjusted for age, sex, and FEV1% predicted. Model 2 was adjusted for age, sex, number of pack-years smoked, and FEV1% predicted. Data are presented as IRR (95% CI).

Abbreviations: CI, confidence interval; FEV1, forced expiratory volume in 1 second.

COPD-Related Costs and MetS

COPD-related hospitalization per person-year was higher in MetS (1.7 per person-year vs. 1.2 per person-year; P=0.04). Cost for pharmacy use was also higher in MetS (22.7 US dollars [USD] vs. 18.5 USD; P=0.02) (Table 4). According to sex, only women showed significantly higher COPD-related hospitalizations and costs among patients with MetS than among those without MetS (Table 5). The cumulative COPD-related medical costs per person-year were higher in MetS during the 5-year follow-up period (Figure 2). The cumulative COPD-related medical costs per person-year were higher in women with MetS, but not in men with MetS (Figure 2).

Table 4

Cumulative COPD-Related Health-Care Utilization and Medical Expenses (USD) in All Patients

	No MetS	MetS	P value
Hospitalization
Number per person-year	1.2±5.1	1.7±6.6	0.04
Cost per person-year	231.1±1232.7	293.29±1157.9	0.26
Outpatient clinic visits
Number per person-year	2.8±3.9	2.96±3.6	0.40
Cost per person-year	46.2±119.2	44.19±69.6	0.61
Use of pharmacy
Number per person-year	2.7±3.7	2.87±3.5	0.46
Cost per person-year	18.4±38.1	22.67±40.6	0.02

Note: Data are expressed as mean±standard deviation.

Abbreviations: COPD, chronic obstructive pulmonary disease; USD, US dollars; MetS, metabolic syndrome.

Table 5

COPD-Related Health-Care Utilization and Medical Expenses (USD) According to Sex

	Men			Women
No MetS	MetS	P value	No MetS	MetS	P value
Hospitalization
Number per person-year	1.13±5.2	1.2±5.4	0.813	1.41±4.9	3.0±8.6	0.01
Cost per person-year	242.4±1363.1	208.5±1369.1	0.569	199.2±1363.1	480.99±1369.1	0.01
Outpatient clinic visits
Number per person-year	2.7±3.9	2.6±3.4	0.616	2.9±3.8	3.6±4.0	0.05
Cost per person-year	45.6±1364.1	41.0±1370.1	0.354	47.9±1364.1	51.0±1370.1	0.67
Use of pharmacy
Number per person-year	2.6±3.8	2.5±3.31	0.529	2.9±3.7	3.5±3.9	0.05
Cost per person-year	18.0±1365.1	21.3±1371.1	0.127	19.7±1365.1	25.6±1371.1	0.07

Notes: Data are expressed as mean±standard deviation.

Abbreviations: COPD, chronic obstructive pulmonary disease; USD, US dollars; MetS, metabolic syndrome.

Figure 2

Cumulative medical costs related to chronic obstructive pulmonary disease per person-year according to metabolic syndrome. (A) All patients; (B) Men; and (C) Women.

Abbreviation: USD, US dollars.

Discussion

COPD and MetS are growing causes of morbidity and mortality worldwide, with a significant impact on public health. To our knowledge, this is the first and largest study to investigate the prevalence of and sex differences in MetS among patients with early COPD, and the impact of MetS on the frequency of exacerbations and COPD-related medical costs.

In the present study, the prevalence of MetS among patients with early COPD was 31.2%, and it was significantly higher in women (35.1%) than in men (26.7%). Compared to the age-adjusted overall (27.0%) and sex-specific prevalence (27.6% in women and 25.5% in men in 2012) of MetS in the Korean adult population,14 the prevalence of MetS was higher in patients with early COPD and it occurred more frequently in women. These results are consistent with those of previous pooled studies,9 which showed that the mean overall prevalence of MetS among patients with COPD was 34%, with a wide variation according to geographical locations, ranging from 23% to 37% in Asia to 58% in North America, and it was more frequent in women than in men (35% vs. 24%). Several studies have investigated the prevalence of MetS according to the GOLD stages, and found it was more frequent in earlier spirometric stages of COPD (GOLD I-II). In a study carried out in Germany, the frequencies of MetS in GOLD stages I–IV were 50%, 53%, 37%, and 44%, respectively.15 Minas et al also reported it was more prevalent in GOLD II (66.7%), whereas its prevalence decreases to about 10% in GOLD stages III and IV.10 The reason why MetS is more prevalent in early GOLD COPD than in severe COPD is unclear, but increased weight loss frequently found in advanced stages might explain this observation.15 Moreover, the co-existence of COPD and MetS further increases the risk of CVD, which may partly explain the increased CVD morbidity and mortality in early COPD.10 Therefore, patients with early COPD should be evaluated and treated for MetS appropriately for ensuring a better prognosis especially in women.

In our study, the three most prevalent MetS components in early COPD were hypertension, low HDL-C, and high TG. In early COPD in the Korean population, the glycemia component was the lowest contributor to MetS, whereas the pooled data showed that hypertension, glycemia, and abdominal obesity were the three most prevalent components that defined MetS in patients with COPD.9 Abdominal obesity is associated with MetS and restrictive lung function impairment.16 In our study, the patients with MetS were distributed lower trends according to the decrement of FVC % predicted, which were similar to those findings as FEV1% predicted.

Previous pooled data10 showed that age was not different between patients with and without MetS but another study showed that patients with MetS were younger.10 In contrast, this study showed that patients with MetS were older. The number of pack-years smoked was significantly smaller among our patients with MetS, similar to the findings of a previous study.10 The BMI was higher among patients with MetS in our study, which was similar to previous results.12 Comorbidities based on the ICD-10 codes extracted from the NHI database, such as hypertension, IHD, PVD, and depression, were higher in patients with MetS than in those without MetS. Comorbidities of COPD may be causally related, either as shared risk factors or when one disease increases the risk of other diseases.1 The most common risk factor for COPD is smoking,1 which is a shared risk factor for systemic inflammation with comorbidities.2,3 Smoking induces insulin resistance and can cause MetS.17 In this study, women with MetS and COPD were older, had smoked fewer pack-years, and had more frequent comorbidities such as osteoporosis, depression, arthritis, PVD, and arthritis than did men. Factors other than smoking might be related to the development of MetS in women. Systemic inflammation might induce MetS.18 We suggest that in the absence of smoking, systemic inflammation from MetS can cause COPD and could increase the risk of exacerbations.19 The factors inducing systemic inflammation could be air pollutants,1 adipose tissue,10,18 etc. The association between MetS and COPD in the absence of smoking is intriguing. Interestingly, recent data indicated elevated insulin levels may induce hypercontractility in airway smooth muscle or potentiate airway hyperresponsiveness to parasympathetic stimulation, which could reduce lung function.20 Further investigations are necessary to determine whether improved insulin resistance can reduce lung function decline.

In this study, MetS significantly influenced moderate-to-severe exacerbations of early COPD only in women. This trend has not been seen for severe exacerbations. The IRR for moderate-to-severe exacerbations of MetS over 5 years, evaluated using negative binomial regression, was significantly higher only in women. Similarly, previous studies have shown that MetS impacts the number of all exacerbations of COPD,11,12 but the results were obtained from hospitalized patients with COPD,11 were preliminary results,12 and were based on the analysis of small patient numbers.11,12 Thus, the present study is valuable because we investigated the association between MetS and COPD exacerbations by using data from a large national survey database. In the TORCH study, COPD exacerbation rate was 25% higher in women than in men,21 and in Turkey, female patients with COPD might be more prone to severe exacerbations, a higher number of hospitalizations, and prolonged hospitalization.22 In our study, MetS was higher in women than men, and the frequency of exacerbation was higher in women with MetS than in women without MetS. Limited knowledge is available about the relationship between sex, MetS, and COPD exacerbation. Moreover, we could not ascertain whether sex difference increased exacerbation or whether MetS increased exacerbation in our study. Although this association is still poorly understood, evidence linking MetS and COPD continues to grow, and several potential mechanisms have been proposed, including the effect of adiposity, fat-induced inflammation on the lung, physical inactivity, hypogonadism, and steroid use.20,23 On the basis of our significant findings, we could suggest that MetS increased COPD exacerbation in women.

South Korea has a compulsory universal health insurance system that includes medical reimbursement records for the entire Korean population. The NHI reimbursement database provides a unique and advantageous mechanism for evaluating the nationwide magnitude of an illness and consequent health care use.24 Thus, we could obtain the exacerbation history and medical costs of COPD. Comorbidities increase the costs for COPD5 and exacerbations.25 Our results confirmed that COPD-related hospitalization and pharmacy use were higher in patients with MetS than in those without MetS, and were higher in women than in men. However, MetS did not affect the COPD-related medical utilization and costs in men.

This study had several limitations. First, the cutoff values used for MetS in Korea, such as a waist circumference ≥85 cm for women as defined by the KOSSO,13 were not based on prospective data. However, when a waist circumference ≥80 cm for women was applied to the Korean population, the prevalence of MetS in women was higher than that in men by approximately 1.5-fold,26,27 and the prevalence of abdominal obesity was higher than 50% in Korean postmenopausal women.27 Thus, we used KOSSO’s cutoff value of waist circumference for MetS in Koreans as ≥85 cm for women.13 Second, MetS was assessed only at the time of enrollment to the KNHANES. Some patients who were classified as having no MetS in the 2007 KNHANES database could develop MetS during the 5-year follow-up period. Similarly, those with moderate COPD in the 2007 KNHANES database could progress to severe COPD during the 5-year follow-up period. Nevertheless, we hypothesized and designed the study such that the pulmonary function and MetS components would remain unchanged over 6 years, and thus, the status of MetS and stages of mild-to-moderate COPD at enrollment would remain identical for 5 years. Third, exacerbations were assessed retrospectively by using the ICD-10 codes and prescription history obtained from the NHI database. Thus, we could not count the exact number of exacerbations. Fourth, we included patients with COPD who were never smokers. However, considering the risk factors for COPD other than smoking, this inclusion was justified. Fifth, we exclude asthma subjects upon the questionnaire for self-reported physician-diagnosed asthma conducted by the KNHANES. Usually, studies using national survey depend on the self-reported disease history, which could evoke the major bias.

Conclusion

The prevalence of MetS in early COPD was not low. Patients with COPD and MetS were older, more obese, more frequently female, and less frequent smokers, and had more comorbidities such as hypertension, PVD, IHD, and depression than did patients with COPD and no MetS. Moreover, they had more severe airflow limitation, as indicated by FEV1 and FVC. MetS significantly impacts the moderate-to-severe exacerbations of early COPD in women. The frequency of hospitalization and pharmacy costs were higher in patients with MetS than in those without MetS, especially in women. COPD with MetS in women might be a different phenotype from smoking-induced COPD. Efforts must be made to identify MetS in patients with COPD, especially women, at the time of diagnosis, treatment, and follow-up. Individualized treatment for patients with COPD and MetS is a challenge. Therefore, further research on the role of MetS in COPD is necessary.