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. 2017 Feb 28;19:37. doi: 10.1186/s13075-017-1239-7

Acupuncture decreased the risk of coronary heart disease in patients with fibromyalgia in Taiwan: a nationwide matched cohort study

Mei-Yao Wu 1, Ming-Cheng Huang 2,3, Jen-Huai Chiang 4,5, Mao-Feng Sun 2,3, Yu-Chen Lee 2,6,✉,#, Hung-Rong Yen 1,2,3,5,✉,#
PMCID: PMC5331677  PMID: 28245860

Abstract

Background

The aim of this study was to understand whether acupuncture can decrease the risk of coronary heart disease (CHD) in patients with fibromyalgia.

Methods

Using data from the Taiwanese National Health Insurance Research Database, we performed a propensity score-matched cohort study to analyze patients with fibromyalgia diagnosed between 1 January 2000 and 31 December 2010. Patients who received acupuncture treatment, beginning with their initial date of fibromyalgia diagnosis and extending to 31 December 2010, were regarded as the acupuncture cohort. The no-acupuncture cohort comprised patients who never received acupuncture through 31 December 2010. A Cox regression model was used to adjust for age, sex, comorbidities, and drugs used. The HRs of the acupuncture and no-acupuncture cohorts were compared.

Results

After performing a 1:1 propensity score match, 58,899 patients in both cohorts were identified. Baseline characteristics were similar in both cohorts. The cumulative incidence of CHD was significantly lower in the acupuncture cohort (log-rank test, p < 0.001). In the follow-up period, 4389 patients in the acupuncture cohort (17.44 per 1000 person-years) and 8133 patients in the no-acupuncture cohort (38.36 per 1000 person-years) developed CHD (adjusted HR 0.43, 95% CI 0.41–0.45). The beneficial effect of acupuncture on the incidence of CHD was independent of age, sex, comorbidities, and statins used.

Conclusions

Our study confirmed that acupuncture reduced the risk of CHD in patients with fibromyalgia in Taiwan. Further clinical and mechanistic studies are warranted.

Keywords: Acupuncture, Coronary heart disease, Fibromyalgia, National Health Insurance Research Database, Taiwan

Background

Fibromyalgia, characterized by chronic widespread pain, commonly presents with associated symptoms such as fatigue, sleep disturbance, depression, cognitive dysfunction, and headache [1, 2]. The American College of Rheumatology published the criteria for fibromyalgia, which were modified in 2010 [3]. The global mean prevalence of fibromyalgia in the general population was 2.7%, and the female-to-male ratio was 3:1 [4]. The quality of life (QOL) of patients with fibromyalgia is always impaired, and about one-third of patients have difficulties in performing the activities of daily living. The high incidence of comorbidities is another health care problem. Researchers in previous studies reported that patients with fibromyalgia in the United States were two to seven times more likely to have comorbidities [5]. According to the U.S. National Health Interview Survey, myocardial infarction occurred more than twice as often in patients with fibromyalgia as in patients without fibromyalgia [6]. In Korea, chronic emotional stress in postmenopausal women with fibromyalgia impaired myocardial function [7]. In Taiwan, a population-based cohort study revealed that the risk of coronary heart disease (CHD) in patients with fibromyalgia was 47% higher than in the general population [8].

Current treatment strategies for fibromyalgia include pharmacological and nonpharmacological methods. Pregabalin, duloxetine, and milnacipran are U.S. Food and Drug Administration (FDA)-approved drugs for treating patients with fibromyalgia, but the efficacy of these drugs has been questioned because of the small sample sizes in clinical trials [9]. Nonpharmacological treatments of fibromyalgia include acupuncture, massage, and exercise. Because the pathological mechanisms of fibromyalgia are not yet fully understood, current treatments are focused on attenuating symptoms and improving QOL.

Animal studies and clinical trials revealed that acupuncture has a beneficial effect in the treatment of fibromyalgia [10, 11]. However, there is no long-term follow-up study showing whether acupuncture can decrease the risk of CHD in patients with fibromyalgia. The Taiwanese National Health Insurance Research Database (NHIRD) provides information on the entire population of Taiwan with long-term follow-up data for interventions. The advantage of using this database is that it prevents sampling bias [12]. The National Health Insurance (NHI) program was implemented in 1995 in Taiwan by the National Health Insurance Administration (NHIA). Traditional Chinese medicine (TCM) services have been reimbursed through the NHI program since 1996 [13]. The use of TCM services, including herbal medicine and acupuncture, is common in Taiwan for the treatment of many kinds of disease [1417]. To understand whether acupuncture can decrease the risk of CHD in patients with fibromyalgia, we investigated a randomly selected sample of 1 million people enrolled in the NHIRD from 2000 to 2010.

Methods

Data sources

We conducted a nationwide, population-based, 1:1 propensity score-matched cohort study by analyzing data derived from the NHIRD. The data source of our study was the Longitudinal Health Insurance Database 2000, which contains all the original claims data of 1 million beneficiaries randomly sampled from the registry of all beneficiaries in 2000. The sampled patients exhibited no significant difference in age, sex, birth year, or average insured payroll-related costs from the general population. The International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM), codes were used for diagnoses. Because the NHIRD contains identified secondary data for research, the present study was waived from the need for informed consent. This study was approved by the research ethics committee of China Medical University and Hospital (CMUH104-REC2-115).

Study cohort identification

Patients newly diagnosed with fibromyalgia from 1 January 2000 to 31 December 2010 were identified (Fig. 1). To be included, patients with fibromyalgia should have had at least two ambulatory or inpatient claims with the diagnosis of ICD-9-CM codes 729.0 and 729.1. The exclusion criteria included age younger than 18 years, incomplete information on age and sex, and withdrawal from the NHIRD during the follow-up period. Patients who received acupuncture from their initial diagnosis of fibromyalgia to 31 December 2010 were identified as the acupuncture cohort. Propensity score approaches were used to reduce confounding by the indication of acupuncture treatment. We used a 1:1 propensity score match by sex, age (per 5 years), comorbidities, drugs used, and the year in which fibromyalgia was diagnosed through multiple logistic regression analysis. Ultimately, equal numbers of patients in the acupuncture and no-acupuncture cohorts were analyzed in this study. The immortal time of acupuncture cohort was the period between the first time of receiving acupuncture and the date of initial diagnosis with fibromyalgia. The claims data for both cohorts were assessed from the initial diagnosis date to 31 December 2011 (the end of this study).

Fig. 1.

Fig. 1

Study population flowchart. After the exclusion process, we identified 158,425 patients with fibromyalgia newly diagnosed between 2000 and 2010. After matching 1:1 by sex, age, comorbidities, and drugs used, the acupuncture cohort and no-acupuncture cohorts each contained 58,899 patients. LHID 2000 Longitudinal Health Insurance Database 2000, NHI National Health Insurance

Covariate assessment

Sociodemographic factors included age and sex. Patients were divided into three groups according to their age (18–39 years, 40–59 years, and older than 60 years). Baseline comorbidities were considered present if ICD-9-CM codes appeared two or more times in outpatient or inpatient claims before the initial diagnosis of fibromyalgia, which included diabetes mellitus (DM; ICD-9-CM code 250), hypertension (ICD-9-CM codes 401–405), hyperlipidemia (ICD-9-CM code 272), congestive heart failure (ICD-9-CM codes 402.01, 402.11, 402.91, 404.01, 404.03, 404.11, 404.13, 404.91, 404.93, and 428.0), stroke (ICD-9-CM codes 430–438), depression (ICD-9-CM codes 296.2–296.3, 300.4, and 311), anxiety (ICD-9-CM codes 300.0, 300.2, 300.3, 308.3, and 308.91), alcoholism or alcohol-related disorders (ICD-9-CM codes 291, 303, 305.00–305.03, 790.3, and V11.3), tobacco dependence (ICD-9-CM code 305.1), and obesity (ICD-9-CM codes 278 and A183).

Types of acupuncture and disease categories in the acupuncture cohort

We analyzed the acupuncture type that patients received by the treatment codes, which included manual acupuncture of TCM type (B41, B42, B45, B46, B80-B84, B90–B94, P27041, P31103, P32103, and P33031) and electroacupuncture (B43, B44, B86–B89, and P33032). Disease categories for which patients with fibromyalgia received acupuncture were identified by the ICD-9-CM codes. More than one ICD-9-CM code may be recorded when patients receive acupuncture, so the total numbers of patients in all categories were more than the number of patients in the acupuncture cohort.

Statistical analyses

We compared the baseline characteristics of the acupuncture and no-acupuncture cohorts using standardized mean differences. Standardized mean differences with less than 0.1 SD indicated a negligible difference in mean values or proportions between the two cohorts. The HR and 95% CI were calculated for each variable by Cox proportional hazards regression. The difference between the two cohorts in the development of CHD was estimated using the Kaplan-Meier method and the log-rank test.

Statistical analysis was performed and figures were created using SAS 9.4 (SAS Institute, Cary, NC, USA) and R software (R Foundation for Statistical Computing, Vienna, Austria). p < 0.05 in two-tailed tests indicated statistical significance.

Results

Using the NHIRD, we identified 189,512 patients with fibromyalgia newly diagnosed between 1 January 2000 and 31 December 2010 (Fig. 1). After excluding patients with missing information or lacking follow-up, 158,425 patients were included. Among included patients, 81,843 received acupuncture and 76,582 patients never received acupuncture from the initial fibromyalgia diagnosis date to 31 December 2010. To minimize the differences in basic data between these two cohorts, we used a 1:1 propensity score match to randomly select 58,899 patients each for the acupuncture and no-acupuncture cohorts.

The baseline characteristics of both cohorts are shown in Table 1, and they were similar in sex, age, comorbidities, and drugs used. The proportion of women was higher than men in both cohorts, and the dominant age group was 40–59 years. The most common comorbidity was hypertension, which was present in more than 20% of patients. Among the patients with fibromyalgia, 17% had hyperlipidemia, 11% had anxiety, 10.6% had DM, 6.9% had stroke, 4.9% had depression, and 1% had congestive heart failure. The proportions of patients diagnosed with alcoholism or alcohol-related disorders, tobacco dependence, and obesity were similar in both cohorts. Almost all patients in both cohorts used nonsteroidal anti-inflammatory drugs (NSAIDs), and approximately 67% of patients used oral steroids. About 13.5% of patients took statins for hyperlipidemia in the no-acupuncture and acupuncture cohorts. The mean duration between the initial diagnosis of fibromyalgia and the first time receiving acupuncture was approximately 919 days. The average number of acupuncture visits was 7.45. Most patients (85%) received manual acupuncture of TCM type, and 3.6% patients received electroacupuncture. About 10.7% of patients received both types of treatment.

Table 1.

Characteristics of patients with fibromyalgia in the present study

Variable No acupuncture (n = 58,899) Acupuncture (n = 58,899) Standardized mean difference
n % n %
Sex
 Female 33,331 56.59 33,447 56.79 0.004
 Male 25,568 43.41 25,452 43.21
Age group, years
 18–39 24,487 41.57 23,572 40.02 0.032
 40–59 27,481 46.66 29,748 50.51 0.077
 ≥60 6931 11.77 5579 9.47 0.075
 Mean (±SD), years 44.57 (15.43) 44.28 (14.44) 0.02
Baseline comorbidities
 Diabetes mellitus 6252 10.61 6098 10.35 0.009
 Hypertension 12,457 21.15 12,036 20.43 0.018
 Hyperlipidemia 10,097 17.14 10,034 17.04 0.003
 Congestive heart failure 569 0.97 508 0.86 0.011
 Cerebrovascular diseases 4044 6.87 3786 6.43 0.018
 Depression 2863 4.86 2840 4.82 0.002
 Anxiety 6551 11.12 6600 11.21 0.003
 Alcoholism or alcohol-related disorders 311 0.53 316 0.54 0.001
 Tobacco dependence 289 0.49 270 0.46 0.005
 Obesity 439 0.75 427 0.72 0.002
Drugs used
 Oral steroids 39466 67.01 39495 67.06 0.001
 NSAIDs 57613 97.82 57734 98.02 0.014
 Statins 7971 13.53 7937 13.48 0.002
Types of acupuncture
 Manual acupuncture of TCM type 50,470 85.69
 Electroacupuncture 2142 3.64
 Combination of manual acupuncture and electroacupuncture 6287 10.67
Duration between the initial diagnosis to the first acupuncture treatment, days, mean (median) 919 (574)
Acupuncture visits, mean 7.45
Follow-up duration, years, mean (median) 3.60 (3.02) 4.27 (3.79)

NSAIDs Nonsteroidal anti-inflammatory drugs, TCM Traditional Chinese medicine

During the follow-up period, there were 12,522 patients included in our study who developed CHD (Table 2). The incidence of CHD in patients with fibromyalgia increased depending on age (adjusted HRs 4.24 and 6.24 in 40–59 years and ≥60 years age groups, respectively). Patients with fibromyalgia with comorbidities also developed CHD more easily than patients without comorbidities. Overall, the incidence of CHD was significantly lower in the acupuncture cohort than in the no-acupuncture cohort (adjusted HR 0.43, 95% CI 0.41–0.45).

Table 2.

Hazard ratios of coronary heart disease associated with acupuncture and covariates among patients with fibromyalgia

Variable Number of events (n = 12,522) Crude HR (95% CI) p Value Adjusted HR (95% CI) p Value
Received acupuncture
 No 8133 1.00 Reference 1.00 Reference
 Yes 4389 0.48 (0.46–0.5) <0.0001 0.43 (0.41–0.45) <0.0001
Sex
 Female 7138 1.00 Reference 1.00 Reference
 Male 5384 0.98 (0.95–1.02) 0.3907 1.03 (0.99–1.07) 0.1072
Age group, years
 18–39 1248 1.00 Reference 1.00 Reference
 40–59 7946 5.24 (4.94–5.56) <0.0001 4.24 (3.99–4.51) <0.0001
 ≥60 3328 11.33 (10.62–12.1) <0.0001 6.24 (5.81–6.71) <0.0001
Baseline comorbidities (reference = nonsite comorbidity)
 Diabetes mellitus 2994 2.9 (2.78–3.02) <0.0001 1.37 (1.31–1.44) <0.0001
 Hypertension 6188 4.03 (3.89–4.18) <0.0001 2.20 (2.11–2.3) <0.0001
 Hyperlipidemia 4452 2.88 (2.78–2.99) <0.0001 1.63 (1.56–1.7) <0.0001
 Congestive heart failure 298 3.19 (2.85–3.58) <0.0001 1.17 (1.04–1.32) 0.0078
 Cerebrovascular diseases 1966 2.81 (2.68–2.95) <0.0001 1.25 (1.19–1.32) <0.0001
 Depression 803 1.48 (1.38–1.59) <0.0001 1.1 (1.02–1.18) 0.0131
 Anxiety 1960 1.61 (1.53–1.69) <0.0001 1.21 (1.15–1.27) <0.0001
 Alcoholism or alcohol-related disorders 57 0.97 (0.75–1.25) 0.8031 0.93 (0.72–1.21) 0.5941
 Tobacco dependence 39 0.9 (0.66–1.23) 0.5098 0.83 (0.6–1.13) 0.2391
 Obesity 109 1.34 (1.11–1.62) 0.0024 1 (0.83–1.21) 0.9629
Drugs used
 Oral steroids 7490 0.62 (0.6–0.64) <0.0001 0.54 (0.52–0.56) <0.0001
 NSAIDs 11,804 0.21 (0.19–0.23) <0.0001 0.24 (0.22–0.26) <0.0001
 Statins 2218 1.28 (1.22–1.34) <0.0001 0.55 (0.52–0.58) <0.0001

NSAIDs Nonsteroidal anti-inflammatory drugs

a Crude HR represents relative hazard ratio

b Adjusted HR represents adjusted hazard ratio mutually adjusted for accepted acupuncture, age, sex, diabetes mellitus, hypertension, hyperlipidemia, congestive heart failure, cerebrovascular diseases, depression, anxiety, alcoholism or alcohol-related disorders, tobacco dependence, obesity, oral steroids, NSAIDs, and statins in Cox proportional hazards regression

Figure 2 reveals that the cumulative incidence of CHD was significantly lower in the acupuncture cohort during the follow-up period (log-rank test, p < 0.001). In this study, 4389 patients in the acupuncture cohort (17.44 per 1000 person-years) and 8133 patients in the no-acupuncture cohort (38.36 per 1000 person-years) developed CHD (adjusted HR 0.43, 95% CI 0.41–0.45) (Table 3). The beneficial effect of acupuncture on the incidence of CHD was observed in both female and male patients (adjusted HR 0.48 in women, 95% CI 0.46–0.51; adjusted HR 0.47 in men, 95% CI 0.45–0.50). Although the risk of CHD gradually increased with age, acupuncture significantly decreased the incidence of CHD in all age groups. Acupuncture decreased the risk of CHD in patients with fibromyalgia with or without comorbidities. Regardless of whether patients took oral steroids, NSAIDs, or statins, fewer patients in the acupuncture cohort developed CHD than in the no-acupuncture cohort.

Fig. 2.

Fig. 2

Cumulative incidence of coronary heart disease (CHD) between the acupuncture cohort and the no-acupuncture cohort. The cumulative incidence of CHD in the acupuncture cohort (dashed line) is significantly lower than in the no-acupuncture cohort (solid line) (log-rank test, p < 0.001)

Table 3.

Incidence rates and hazard ratios for coronary heart disease among patients with fibromyalgia with or without acupuncture treatment

Variable No acupuncture (n = 58,899) Acupuncture (n = 58,899)
Events Person-years IR Events Person-years IR Crude HR (95% CI) Adjusted HRa (95% CI)
Total 8133 212,027 38.36 4389 251,711 17.44 0.48 (0.46–0.50)b 0.43 (0.41–0.45)b
Sex
 Female 4650 120,934 38.45 2488 141,235 17.62 0.48 (0.46–0.51)b 0.43 (0.41–0.45)b
 Male 3483 91,093 38.24 1901 110,476 17.21 0.47 (0.45–0.5)b 0.45 (0.43–0.48)b
Age group, years
 18–39 877 92,941 9.44 371 94,477 3.93 0.42 (0.38–0.48)b 0.39 (0.35–0.44)b
 40–59 5059 99,271 50.96 2887 133,190 21.68 0.45 (0.43–0.47)b 0.42 (0.41–0.44)b
 ≥60 2197 19,814 110.88 1131 24,044 47.04 0.48 (0.45–0.52)b 0.47 (0.43–0.5)b
Baseline comorbidities
 Diabetes mellitus
  No 6227 193,111 32.25 3301 225,893 14.61 0.47 (0.45–0.5)b 0.44 (0.42–0.46)b
  Yes 1906 18,916 100.76 1088 25,818 42.14 0.46 (0.42–0.49)b 0.44 (0.41–0.47)b
 Hypertension
  No 4148 174,292 23.80 2186 199,801 10.94 0.48 (0.45–0.5)b 0.43 (0.41–0.46)b
  Yes 3985 37,735 105.61 2203 51,910 42.44 0.44 (0.42–0.47)b 0.44 (0.42–0.46)b
 Hyperlipidemia
  No 5328 180,288 29.55 2742 210,271 13.04 0.46 (0.44–0.48)b 0.43 (0.41–0.45)b
  Yes 2805 31,738 88.38 1647 41,440 39.74 0.49 (0.46–0.52)b 0.46 (0.43–0.49)b
 Congestive heart failure
  No 7942 210,670 37.70 4282 249,749 17.15 0.48 (0.46–0.5)b 0.44 (0.42–0.45)b
  Yes 191 1356 140.83 107 1963 54.52 0.45 (0.35–0.57)b 0.46 (0.36–0.59)b
 Cerebrovascular diseases
  No 6867 199,807 34.37 3689 235,364 15.67 0.48 (0.46–0.5)b 0.44 (0.42–0.45)b
  Yes 1266 12,220 103.60 700 16,348 42.82 0.46 (0.42–0.5)b 0.45 (0.41–0.49)b
 Depression
  No 7628 203,237 37.53 4091 240,799 16.99 0.48 (0.46–0.49)b 0.44 (0.42–0.45)b
  Yes 505 8790 57.45 298 10,912 27.31 0.51 (0.44–0.59)b 0.46 (0.4–0.53)b
 Anxiety
  No 6860 191,626 35.80 3702 225,730 16.40 0.48 (0.46–0.5)b 0.44 (0.42–0.46)b
 Yes 1273 20,401 62.40 687 25,982 26.44 0.46 (0.42–0.5)b 0.43 (0.39–0.47)b
 Alcoholism or alcohol-related disorders
  No 8093 211,137 38.33 4372 250,521 17.45 0.48 (0.46–0.5)b 0.44 (0.42–0.46)b
  Yes 40 889 44.99 17 1190 14.28 0.35 (0.2–0.61)b 0.33 (0.19–0.6)b
 Tobacco dependence
  No 8109 211,341 38.37 4374 251,047 17.42 0.48 (0.46–0.5)b 0.44 (0.42–0.45)b
  Yes 24 685 35.02 15 664 22.58 0.68 (0.35–1.29) 0.47 (0.23–0.94)c
 Obesity
 No 8062 210,777 38.25 4351 250,115 17.40 0.48 (0.46–0.5)b 0.44 (0.42–0.46)b
 Yes 71 1250 56.80 38 1596 23.81 0.45 (0.3–0.66)b 0.36 (0.24–0.55)b
Drugs used
 Oral steroids
  No 3458 56,042 61.70 1574 74,258 21.20 0.39 (0.37–0.41)b 0.39 (0.37–0.42)b
  Yes 4675 155,985 29.97 2815 177,453 15.86 0.54 (0.52–0.57)b 0.49 (0.46–0.51)b
 NSAIDs
  No 543 1878 289.11 175 3206 54.58 0.27 (0.23–0.32)b 0.31 (0.26–0.37)b
  Yes 7590 210,148 36.12 4214 248,505 16.96 0.49 (0.47–0.51)b 0.45 (0.44–0.47)b
 Statins
  No 6799 179,722 37.83 3505 215,745 16.25 0.46 (0.44–0.48)b 0.42 (0.4–0.44)b
  Yes 1334 32,305 41.29 884 35,967 24.58 0.6 (0.55–0.66)b 0.56 (0.52–0.61)b

IR Incidence rate per 1000 person-years; NSAIDs Nonsteroidal anti-inflammatory drugs

a Adjusted HR adjusted for accepted acupuncture, age, sex, diabetes mellitus, hypertension, hyperlipidemia, congestive heart failure, cerebral vascular diseases, depression, anxiety, alcoholism or alcohol-related disorders, tobacco dependence, obesity, oral steroids, NSAIDs, and statins in Cox proportional hazards regression

b p < 0.001

c p < 0.05

Table 4 reveals the top ten disease categories for which the patients with fibromyalgia in the acupuncture cohort received acupuncture treatment. The most common conditions leading to visiting acupuncture doctors were disorders of the musculoskeletal system and connective tissues that are highly related to fibromyalgia. Injury was also a common reason for receiving acupuncture.

Table 4.

Top ten disease categories as reasons for clinical acupuncture visits in the acupuncture cohort

Disease categories (ICD-9-CM codes) Acupuncture cohort (n = 58,899)
Disorders of musculoskeletal system and connective tissue (710–739) 42,488
Injury and poisoning (800–999) 36,465
Symptoms, signs, and ill-defined conditions (780–799) 4014
Disorders of nervous system (320–389) 2802
Disorders of digestive system (520–579) 1714
Disorders of respiratory system (460–519) 1497
Disorders of circulatory system (390–459) 850
Disorders of genitourinary system (580–629) 725
Disorders of skin and subcutaneous tissue (680–709) 335
Mental disorders (290–319) 283

ICD-9-CM International Classification of Diseases, Ninth Revision, Clinical Modification

More than one ICD-9-CM code can be recorded when patients receive acupuncture

Discussion

To our knowledge, our present nationwide population-based study is the first to reveal that acupuncture decreases the risk of CHD in patients with fibromyalgia. As a popular treatment for fibromyalgia, acupuncture has been performed on patients with fibromyalgia in several clinical trials. However, the outcome evaluation was previously always focused on pain score, sleep quality, and QOL [10]. In our study, we found that the beneficial effects of acupuncture on developing CHD in patients with fibromyalgia were independent of sex, age, comorbidities, and anti-inflammatory drugs included in our data. Statins, the inhibitors of the 3-hydroxy-3-methylglutaryl-coenzyme A reductase for treating hyperlipidemia, were previously reported to reduce the risk of cardiovascular diseases [18]. Our study revealed that regardless of whether patients with fibromyalgia took statins, acupuncture lowered the risk of CHD.

Our study revealed that more than half of patients with fibromyalgia in Taiwan have received acupuncture. A previous report revealed that the leading reason for patients in Taiwan to seek acupuncture treatment was diseases of the musculoskeletal system and connective tissue [19]. Fibromyalgia also belongs to this disease category. This is true not only in Taiwan, because patients with fibromyalgia also receive acupuncture in the other countries, such as Germany [20]. Previous studies in the United States, Spain, and Iran have demonstrated the efficacy of acupuncture in fibromyalgia [2123].

A strength of our study is the comprehensive, large-scale database that we used, Taiwan’s NHIRD. This database provides an enormous sample size to reduce selection and participation bias, and it includes long-term follow-up data [12]. In addition, the characteristics of patients with fibromyalgia in our study were consistent with those in previous reports of female and middle-aged predominance in other countries [6, 24]. These baseline characteristics were similar in both cohorts in our study.

In Taiwan, the majority of TCM doctors are graduated from baccalaureate TCM education programs (7- or 8-year medical doctor programs) or postbaccalaureate TCM programs (5-year medical doctor programs) in universities. The graduated students must pass the board examination conducted by the government. The training programs on the manipulation of acupuncture are standardized. The duration of needle retention most commonly performed is about 20–30 minutes in Taiwan, and achievement of deqi is a basic requirement in acupuncture treatment.

Pregabalin was the first FDA-approved drug for treatment of fibromyalgia [1]. It was demonstrated to improve pain, sleep disturbance, and fatigue in adult patients with fibromyalgia [25]. In our present study, we did not compare the efficacy of acupuncture with pregabalin, because this drug was not reimbursed by Taiwanese NHIA for fibromyalgia until 2015. Whether pregabalin decreases the incidence of CHD in patients with fibromyalgia has never been reported. Furthermore, pregabalin has cardiac adverse effects because it may induce heart failure [26]. Acupuncture has been reported to attenuate both ischemic injury of the heart and heart failure [27, 28]. Whether acupuncture treatment provides benefits to those patients receiving pregabalin deserves future investigation.

Fibromyalgia is thought to arise from aberrant brain chemistry, function, and structure [29]. The effects of acupuncture have also been documented to affect the central nervous system to ameliorate fibromyalgia [30]. An increasing body of evidence suggests that central sensitization contributes to hyperalgesia and allodynia in patients with fibromyalgia. Activation of N-methyl-d-aspartate receptor (NMDAR) and cyclic adenosine monophosphate-responsive element binding protein promotes hyperalgesia [29]. In a previous study on fibromyalgia, researchers using a murine model found that activation of the dorsal root ganglion was suppressed by acupuncture [31]. Activation of cardiac NMDAR induces oxidative stress and facilitates atrial fibrillation that were attenuated by NMDAR antagonists [32, 33]. Inhibition of NMDAR is the possible mechanism to prevent CHD in fibromyalgia, and whether acupuncture can suppress cardiac NMDAR in fibromyalgia needs further evaluation.

Other than the NMDAR pathway, the 5-HT3 receptor may be another target of acupuncture to decrease CHD in fibromyalgia. The analgesic effect of acupuncture is also evident through the 5HT3 receptor in a rat model of collagenase-induced arthritis, and 5-HT3 receptor antagonists have beneficial effects on autonomic cardiac dysfunction in patients with fibromyalgia [34, 35]. However, the results of our present study were contrary to those of a previous study involving transient receptor potential vanilloid 1 (TRPV1). Overexpression of TRPV1 in the spinal cord was suppressed by acupuncture in a fibromyalgia murine model [11], but TRPV1 in the endothelium prevents CHD [36]. The heart-protective effect of acupuncture in fibromyalgia may not be through the TRPV1 pathway.

Antidepression, anti-inflammation, and improvement of sleep quality are also possible mechanisms of acupuncture to prevent CHD in fibromyalgia. In previous reports, acupuncture improved sleep quality in patients with insomnia, which is highly associated with fibromyalgia and CHD [3739]. Depression is a common associated symptom of fibromyalgia, and it increases the incidence of CHD through deregulation of the autonomic nervous system and the hypothalamic-pituitary-adrenal axis [40]. Acupuncture stabilized this axis, activated the hippocampal serotonin system, and suppressed inflammation to attenuate depression [41, 42].

Comorbidities of fibromyalgia, including DM, hypertension, and heart disease, are highly associated with chronic inflammation. Many previous studies of acupuncture were focused on the analgesic effect of acupuncture, but additional studies in recent years demonstrated that acupuncture attenuated inflammation. Acupuncture attenuated inflammation through the vagus nerve mediated by dopamine [43]. The combination of acupuncture and moxibustion relieved Crohn’s disease by decreasing the ratio of Th17 to Treg cells in the intestinal mucosa [44]. These studies support that acupuncture has not only an analgesic effect but also an anti-inflammatory effect.

In addition, researchers in a previous study found that acupuncture before percutaneous coronary intervention in patients with acute myocardial infarction attenuated cardiac injury [45]. Acupuncture also decreased myocardial infarct areas and preserved cardiac function through heat shock protein 20 (HSP20) and HSP27 in an animal study [27]. These reports demonstrated that acupuncture can protect the heart from ischemia. Future mechanistic study in this area is warranted.

Several limitations in our study are noted. First, the NHIRD did not provide the severity of fibromyalgia, including pain scores, the severity of inflammation, or daily life disabilities. To minimize the confounding factors, we performed a 1:1 propensity score match and found that the baseline characteristics of both cohorts were similar. The percentages of patients who used NSAIDs and oral steroids were also similar in both cohorts. The second limitation is that the NHIRD did not provide data about patients’ lifestyles, such as smoking, alcohol drinking, body mass index (BMI), stress, and exercise. Although detailed information about smoking exposure, alcohol drinking, and BMI was not available, we were able to acquire information on illnesses resulting from these personal habits and lifestyles. We conducted a 1:1 propensity score match that included the diagnoses of alcoholism or alcohol-related disorders, tobacco dependence, and obesity. Patients with these disorders were similar in both cohorts, and the protective effect of acupuncture on CHD was significant in patients with fibromyalgia with these comorbid diseases. However, there was still an underestimation of smoking exposure and alcohol drinking in both cohorts. On the basis of our findings in this matched cohort study, we have designed a prospective participant- and assessor-blinded, randomized controlled trial to investigate the efficacy and mechanisms of acupuncture in patients with fibromyalgia (ClinicalTrials.gov identifier: NCT02583334). These lifestyle factors are recorded using a patient-reported questionnaire and should be able to provide more information regarding lifestyle. The third limitation was that detailed information on selected acupoints was not provided in the dataset. Acupoint selection was individualized according to the TCM diagnosis of patients and the experience of doctors, which is more like an effectiveness study. Most studies on the efficacy of acupuncture fix the acupoints to standardize their treatment protocol. The clinical trial of acupuncture in patients with fibromyalgia we conducted also fixed the acupoints as LI4, LI11, LR3, ST36, SP6, and GB34, which are commonly used acupoints for the treatment of patients with fibromyalgia.

Conclusions

Our present study confirms that acupuncture reduced the risk of CHD in patients with fibromyalgia in Taiwan. This noteworthy finding can provide some hints for further clinical and mechanistic studies.

Acknowledgements

This study was supported in part by China Medical University under the Aim for Top University Plan of the Ministry of Education, Taiwan. It was also supported by the Taiwan Ministry of Health and Welfare Clinical Trial and Research Center of Excellence (MOHW105-TDU-B-212-133019). This study was based in part on data derived from the NHIRD, provided by the NHIA, and the Ministry of Health and Welfare, and managed by the National Health Research Institutes. The interpretations and conclusions reported do not represent those of the NHIA, the Ministry of Health and Welfare, or the National Health Research Institutes. The funding agencies had no role in the study design, data collection and analyses, results interpretation, or publication of this study.

Funding

This study was supported in part by China Medical University under the Aim for Top University Plan of the Ministry of Education, Taiwan. It was also supported by the Taiwan Ministry of Health and Welfare Clinical Trial and Research Center of Excellence (MOHW105-TDU-B-212-133019).

Availability of supporting data

All data of this study are deposited in a properly managed public repository. We examined and analyzed datasets released from the Taiwan NHIRD (http://nhird.nhri.org.tw/en/index.html), maintained and managed by National Health Research Institutes (http://www.nhri.org.tw/), Taiwan. The use of the datasets is limited to research purposes only. Applicants must follow the Computer-Processed Personal Data Protection Law (http://www.winklerpartners.com/?p=987) and related regulations of the National Health Insurance Administration and the National Health Research Institutes, and the agreement must be signed by the applicant and his/her supervisor upon application submission. All applications are reviewed for approval of data release.

Authors’ contributions

MYW contributed to the conception and design of the study, participated in the interpretation of clinical data, and drafted the manuscript. MCH participated in the interpretation of clinical data and acupuncture treatment approaches. JHC performed the statistical analysis. MFS participated in the interpretation of clinical data. YCL participated in the interpretation of clinical data and acupuncture treatment approaches and also helped to finalize the manuscript. HRY conceived of the study, contributed to the interpretation of clinical data, and finalized the manuscript. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable in this section.

Ethics approval and consent to participate

This study was approved by the research ethics committee of China Medical University and Hospital (CMUH104-REC2-115) and by the National Health Research Institute, the data holder of the NHI database. The need for patient consent was exempted on the basis of the total anonymity of all research data in this study.

Abbreviations

BMI

Body mass index

CHD

Coronary heart disease

DM

Diabetes mellitus

FDA

U.S. Food and Drug Administration

HSP

Heat shock protein

ICD-9-CM

International Classification of Diseases, Ninth Revision, Clinical Modification

IR

Incidence rate

LHID 2000

Longitudinal Health Insurance Database 2000

NHI

National Health Insurance

NHIA

National Health Insurance Administration

NHIRD

National Health Insurance Research Database

NMDAR

N-methyl-d-aspartate receptor

NSAID

Nonsteroidal anti-inflammatory drug

QOL

Quality of life

TCM

Traditional Chinese medicine

TRPV1

Transient receptor potential vanilloid 1

Contributor Information

Mei-Yao Wu, Email: meiyaowu0919@gmail.com.

Ming-Cheng Huang, Email: mchuang1128@gmail.com.

Jen-Huai Chiang, Email: zinvii@gmail.com.

Mao-Feng Sun, Email: maofeng@mail.cmuh.org.tw.

Yu-Chen Lee, Phone: +886-4-2205-2121 ext. 1670, Email: d5167@mail.cmuh.org.tw.

Hung-Rong Yen, Phone: +886-4-2205-2121 ext. 1672, Email: hungrongyen@gmail.com.

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