| Literature DB >> 30577824 |
Mei-Yao Wu1, Ming-Cheng Huang1,2, Hou-Hsun Liao2,3, Jen-Huai Chiang4,5, Yu-Chen Lee1,6, Chung-Y Hsu7, Mao-Feng Sun8,9, Hung-Rong Yen10,11,12,13,14,15.
Abstract
BACKGROUND: Patients with rheumatoid arthritis (RA) have a higher risk of coronary heart disease (CHD). Acupuncture, a commonly used treatment for patients with RA, has not been reported to prevent CHD in patients with RA. We aimed to assess the risk of developing CHD in acupuncture users and non-users of patients with RA.Entities:
Keywords: Acupuncture; Coronary heart disease; National Health Insurance Research Database; Rheumatoid arthritis; Taiwan
Mesh:
Year: 2018 PMID: 30577824 PMCID: PMC6303917 DOI: 10.1186/s12906-018-2384-5
Source DB: PubMed Journal: BMC Complement Altern Med ISSN: 1472-6882 Impact factor: 3.659
Fig. 1Study population flowchart diagram. Using the inclusion and exclusion criteria, we identified 10,199 patients who underwent acupuncture and 19,542 patients who never underwent acupuncture. After performing 1:1 propensity score matching, there were 9932 patients in the acupuncture and no-acupuncture cohorts
Fig. 2Diagram of the two types of acupuncture treatment. a Manual acupuncture of traditional Chinese medicine type (b) Electroacupuncture
Characteristics of rheumatoid arthritis patients according to whether they received acupuncture treatment
| Variable | Rheumatoid arthritis | Standardized mean difference | |||
|---|---|---|---|---|---|
| No ( | Yes ( | ||||
| n | % | n | % | ||
| Sex | |||||
| Female | 8212 | 82.68 | 8225 | 82.81 | 0.003 |
| Male | 1720 | 17.32 | 1707 | 17.19 | 0.003 |
| Age group | |||||
| 18–39 | 2267 | 22.83 | 2013 | 20.27 | 0.003 |
| 40–59 | 6099 | 61.41 | 6659 | 67.05 | 0.003 |
| ≥60 | 1566 | 15.77 | 1260 | 12.69 | 0.003 |
| Mean ± SD (years) | 50.39 (13.7) | 50.36 (12.53) | 0.002 | ||
| Baseline Comorbidity | |||||
| Diabetes mellitus | 1211 | 12.19 | 1193 | 12.01 | 0.006 |
| Hypertension | 2358 | 23.74 | 2339 | 23.55 | 0.005 |
| Hyperlipidemia | 1488 | 14.98 | 1475 | 14.85 | 0.004 |
| Congestive heart failure | 94 | 0.95 | 107 | 1.08 | 0.013 |
| Stroke | 741 | 7.46 | 731 | 7.36 | 0.004 |
| Depression | 631 | 6.35 | 618 | 6.22 | 0.005 |
| Anxiety | 1525 | 15.35 | 1499 | 15.09 | 0.007 |
| Alcoholism | 20 | 0.20 | 24 | 0.24 | 0.009 |
| Tobacco dependence | 27 | 0.27 | 30 | 0.30 | 0.006 |
| Obesity | 80 | 0.81 | 77 | 0.78 | 0.003 |
| Drug use | |||||
| Methotrexate | 7131 | 71.80 | 7130 | 71.79 | 0 |
| Hydroxychloroquine | 8372 | 84.29 | 8423 | 84.81 | 0.014 |
| Sulfasalazine | 7289 | 73.39 | 7278 | 73.28 | 0.003 |
| TNF-α inhibitors | 1137 | 11.45 | 1151 | 11.59 | 0.004 |
| NSAIDs | 9908 | 99.76 | 9909 | 99.77 | 0.002 |
| Oral steroids | 9449 | 95.14 | 9438 | 95.03 | 0.005 |
| Statins | 1449 | 14.59 | 1438 | 14.48 | 0.003 |
| Types of acupuncture | |||||
| Manual acupuncture of TCM type | 8614 | 86.73 | |||
| Electroacupuncture | 340 | 3.42 | |||
| Combination of manual acupuncture and electroacupuncture | 978 | 9.85 | |||
| Immortal time, days (mean, median) | 1064.07 (989.63) | 1044.96 (1056.50) | |||
| Acupuncture visits, mean | 9.81 | ||||
| Follow-up time, years (mean, median) | 4.02 (3.03) | 4.91 (3.44) | |||
Cox model with hazard ratios and 95% confidence intervals for coronary heart disease in patients with rheumatoid arthritis who did or did not receive acupuncture treatment
| Variable | No. of event | Crudea | Adjustedb | ||||
|---|---|---|---|---|---|---|---|
| HR | (95%CI) | HR | (95%CI) | ||||
| Acupuncture | |||||||
| No | 1233 | 1.00 | reference | 1.00 | reference | ||
| Yes | 909 | 0.63 | (0.58–0.69) | <.0001 | 0.60 | (0.55–0.65) | <.0001 |
| Sex | |||||||
| Female | 1692 | 1.00 | reference | 1.00 | reference | ||
| Male | 440 | 1.32 | (1.19–1.47) | <.0001 | 1.21 | (1.09–1.34) | 0.0005 |
| Age group | |||||||
| 18–39 | 126 | 1.00 | reference | 1.00 | reference | ||
| 40–59 | 1458 | 4.22 | (3.52–5.07) | <.0001 | 3.85 | (3.20–4.63) | <.0001 |
| ≥60 | 548 | 8.76 | (7.22–10.64) | <.0001 | 5.35 | (4.37–6.56) | <.0001 |
| Baseline Comorbidity (ref = non-site comorbidity) | |||||||
| Diabetes mellitus | 443 | 2.25 | (2.03–2.50) | <.0001 | 1.46 | (1.30–1.64) | <.0001 |
| Hypertension | 877 | 2.65 | (2.43–2.89) | <.0001 | 1.77 | (1.61–1.95) | <.0001 |
| Hyperlipidemia | 391 | 1.64 | (1.47–1.83) | <.0001 | 1.08 | (0.95–1.22) | 0.2342 |
| Congestive heart failure | 33 | 1.94 | (1.37–2.73) | 0.0002 | 1.00 | (0.71–1.42) | 0.9783 |
| Cerebral vascular diseases | 267 | 2.09 | (1.84–2.38) | <.0001 | 1.22 | (1.07–1.40) | 0.0037 |
| Depression | 127 | 1.18 | (0.99–1.42) | 0.0664 | 0.97 | (0.80–1.17) | 0.7509 |
| Anxiety | 312 | 1.20 | (1.07–1.36) | 0.0028 | 0.94 | (0.83–1.07) | 0.3402 |
| Alcoholism | 2 | 0.54 | (0.14–2.17) | 0.3886 | 0.51 | (0.13–2.05) | 0.3427 |
| Tobacco dependence | 1 | 0.25 | (0.04–1.74) | 0.1606 | 0.22 | (0.03–1.57) | 0.1316 |
| Obesity | 18 | 1.38 | (0.87–2.20) | 0.171 | 1.15 | (0.72–1.83) | 0.5623 |
| Drug use | |||||||
| Methotrexate | 1210 | 0.47 | (0.43–0.51) | <.0001 | 0.64 | (0.58–0.70) | <.0001 |
| Hydroxychloroquine | 1680 | 0.60 | (0.55–0.67) | <.0001 | 0.80 | (0.720–.89) | <.0001 |
| Sulfasalazine | 1437 | 0.66 | (0.61–0.73) | <.0001 | 0.91 | (0.82–1.00) | 0.0559 |
| TNF-α inhibitors | 105 | 0.35 | (0.29–0.43) | <.0001 | 0.48 | (0.39–0.59) | <.0001 |
| NSAIDs | 2130 | 1.36 | (0.34–5.44) | 0.6638 | 1.73 | (0.43–6.93) | 0.4412 |
| Oral steroids | 2010 | 0.66 | (0.55–0.79) | <.0001 | 0.82 | (0.68–0.98) | 0.033 |
| Statins | 350 | 1.07 | (0.96–1.20) | 0.2408 | 0.69 | (0.61–0.78) | <.0001 |
Crude HRa represents the relative hazard ratio. Adjusted HRb represents the adjusted hazard ratio mutually adjusted for acupuncture use, age, sex, diabetes mellitus, hypertension, hyperlipidemia, congestive heart failure, cerebral vascular diseases, depression, anxiety, alcoholism, tobacco dependence, obesity, Methotrexate, Hydroxychloroquine, Sulfasalazine, TNF-α inhibitors, oral steroids, NSAIDs and statins in Cox proportional hazard regression
Incidence rates, hazard ratio and confidence intervals for coronary heart disease in rheumatoid arthritis patients who did or did not receive acupuncture treatment, stratified by sex, age, comorbidity and drug use
| Variables | Rheumatoid arthritis | Compared with no-acupuncture cohort | ||||||
|---|---|---|---|---|---|---|---|---|
| No acupuncture | Acupuncture | Crude HR | Adjusted HR | |||||
| Event | Person-years | IR | Event | Person-years | IR | |||
| Total | 1223 | 39,930.25 | 30.63 | 909 | 48,742.08 | 18.65 | 0.63(0.58–0.69)*** | 0.60(0.55–0.65)*** |
| Sex | ||||||||
| Female | 970 | 33,542.81 | 28.92 | 722 | 40,610.75 | 17.78 | 0.64(0.58–0.7)*** | 0.62(0.56–0.68)*** |
| Male | 253 | 6387.44 | 39.61 | 187 | 8131.32 | 23.00 | 0.60(0.50–0.73)*** | 0.58(0.48–0.70)*** |
| Age group | ||||||||
| 18–39 | 81 | 10,544.53 | 7.68 | 45 | 10,665.24 | 4.22 | 0.56(0.39–0.81)** | 0.53(0.37–0.77)*** |
| 40–59 | 816 | 24,725.99 | 33.00 | 642 | 32,628.29 | 19.68 | 0.61(0.55–0.68)*** | 0.59(0.53–0.66)*** |
| ≥60 | 326 | 4659.72 | 69.96 | 222 | 5448.55 | 40.74 | 0.61(0.51–0.72)*** | 0.62(0.52–0.73)*** |
| Baseline Comorbidity | ||||||||
| Diabetes mellitus | ||||||||
| No | 969 | 36,055.56 | 26.88 | 720 | 43,658.67 | 16.49 | 0.64(0.58–0.70)*** | 0.60(0.55–0.66)*** |
| Yes | 254 | 3874.69 | 65.55 | 189 | 5083.41 | 37.18 | 0.58(0.48–0.71)*** | 0.59(0.49–0.72)*** |
| Hypertension | ||||||||
| No | 717 | 32,065.40 | 22.36 | 538 | 38,485.07 | 13.98 | 0.64(0.57–0.72)*** | 0.62(0.56–0.70)*** |
| Yes | 506 | 7864.85 | 64.34 | 371 | 10,257.00 | 36.17 | 0.59(0.51–0.67)*** | 0.58(0.51–0.67)*** |
| Hyperlipidemia | ||||||||
| No | 1000 | 35,475.99 | 28.19 | 741 | 43,080.05 | 17.20 | 0.63(0.58–0.70)*** | 0.61(0.56–0.67)*** |
| Yes | 223 | 4454.26 | 50.06 | 168 | 5662.03 | 29.67 | 0.59(0.49–0.73)*** | 0.57(0.47–0.70)*** |
| Congestive heart failure | ||||||||
| No | 1202 | 39,641.02 | 30.32 | 897 | 48,354.94 | 18.55 | 0.63(0.58–0.69)*** | 0.61(0.56–0.66)*** |
| Yes | 21 | 289.23 | 72.61 | 12 | 387.14 | 31.00 | 0.44(0.22–0.90)* | 0.50(0.24–1.07) |
| Cerebral vascular diseases | ||||||||
| No | 1069 | 37,549.80 | 28.47 | 796 | 45,604.09 | 17.45 | 0.64(0.58–0.70)*** | 0.60(0.55–0.66)*** |
| Yes | 154 | 2380.45 | 64.69 | 113 | 3137.99 | 36.01 | 0.58(0.45–0.74)*** | 0.59(0.46–0.76)*** |
| Depression | ||||||||
| No | 1144 | 38,013.07 | 30.09 | 861 | 46,405.65 | 18.55 | 0.64(0.59–0.70)*** | 0.62(0.56–0.67)*** |
| Yes | 79 | 1917.19 | 41.21 | 48 | 2336.42 | 20.54 | 0.51(0.36–0.73)*** | 0.51(0.35–0.73)*** |
| Anxiety | ||||||||
| No | 1042 | 35,170.64 | 29.63 | 778 | 43,056.56 | 18.07 | 0.63(0.58–0.69)*** | 0.60(0.55–0.66)*** |
| Yes | 181 | 4759.61 | 38.03 | 131 | 5685.51 | 23.04 | 0.62(0.50–0.78)*** | 0.62(0.49–0.78)*** |
| Alcoholism | ||||||||
| No | 1222 | 39,865.91 | 1222 | 908 | 48,660.02 | 908 | 0.63(0.58–0.69)*** | 0.61(0.56–0.66)*** |
| Yes | 1 | 64.34 | 1 | 1 | 82.05 | 1 | 0.58(0.03–9.89) | – |
| Tobacco dependence | ||||||||
| No | 1222 | 39,862.01 | 1222 | 909 | 48,661.38 | 909 | 0.63(0.58–0.69)*** | 0.61(0.56–0.66)*** |
| Yes | 1 | 68.24 | 1 | 0 | 80.70 | 0 | – | – |
| Obesity | ||||||||
| No | 1214 | 39,697.39 | 30.58 | 900 | 48,463.26 | 18.57 | 0.63(0.58–0.69)*** | 0.61(0.55–0.66)*** |
| Yes | 9 | 232.86 | 38.65 | 9 | 278.81 | 32.28 | 0.95(0.37–2.42) | 0.74(0.26–2.09) |
| Drug use | ||||||||
| Methotrexate | ||||||||
| No | 530 | 10,045.02 | 52.76 | 392 | 13,042.58 | 30.06 | 0.60(0.53–0.68)*** | 0.61(0.54–0.7)*** |
| Yes | 693 | 29,885.23 | 23.19 | 517 | 35,699.50 | 14.48 | 0.64(0.57–0.72)*** | 0.60(0.53–0.67)*** |
| Hydroxychloroquine | ||||||||
| No | 257 | 5500.43 | 46.72 | 195 | 6736.19 | 28.95 | 0.65(0.54–0.78)*** | 0.62(0.52–0.75)*** |
| Yes | 966 | 34,429.82 | 28.06 | 714 | 42,005.89 | 17 | 0.63(0.57–0.69)*** | 0.60(0.54–0.66)*** |
| Sulfasalazine | ||||||||
| No | 410 | 9296.59 | 44.10 | 285 | 11,957.00 | 23.84 | 0.57(0.49–0.66)*** | 0.54(0.47–0.63)*** |
| Yes | 813 | 30,633.66 | 26.54 | 624 | 36,785.07 | 16.96 | 0.66(0.59–0.73)*** | 0.64(0.57–0.71)*** |
| TNF-α inhibitors | ||||||||
| No | 1157 | 34,731.45 | 33.31 | 870 | 42,448.62 | 20.50 | 0.64(0.59–0.7)*** | 0.62(0.56–0.67)*** |
| Yes | 66 | 5198.80 | 12.70 | 39 | 6293.45 | 6.20 | 0.48(0.32–0.72)*** | 0.42(0.28–0.62)*** |
| NSAIDs | ||||||||
| No | 0 | 42.45 | 0 | 2 | 62.67 | 31.91 | – | – |
| Yes | 1223 | 39,887.80 | 30.66 | 907 | 48,679.41 | 18.63 | 0.63(0.58–0.69)*** | 0.61(0.56–0.66)*** |
| Oral steroids | ||||||||
| No | 68 | 1442.40 | 47.14 | 54 | 1799.74 | 30 | 0.69(0.48–1.00)* | 0.74(0.51–1.07) |
| Yes | 1155 | 38,487.85 | 30.01 | 855 | 46,942.34 | 18.21 | 0.63(0.57–0.69)*** | 0.60(0.55–0.65)*** |
| Statins | ||||||||
| No | 1020 | 33,516.65 | 30.43 | 762 | 41,308.09 | 18.45 | 0.63(0.58–0.69)*** | 0.61(0.55–0.67)*** |
| Yes | 203 | 6413.60 | 31.65 | 147 | 7433.99 | 19.77 | 0.63(0.51–0.78)*** | 0.59(0.48–0.73)*** |
Abbreviations: IR, incidence rates per 1000 person-years; HR, hazard ratio; and CI, confidence interval
Adjusted HR: adjusted for acupuncture use, age, sex, diabetes mellitus, hypertension, hyperlipidemia, congestive heart failure, cerebral vascular diseases, depression, anxiety, alcoholism, tobacco dependence, obesity, Methotrexate, Hydroxychloroquine, Sulfasalazine, TNF-α inhibitors, oral steroids, NSAIDs and statins in Cox proportional hazard regression
*: p < 0.05; **: p < 0.01; and ***: p < 0.001
Fig. 3Cumulative incidence of coronary heart disease (CHD) between the acupuncture and no-acupuncture cohorts. The cumulative incidence of coronary heart disease in the acupuncture cohort (dashed line) is significantly lower than the no-acupuncture cohort (solid line) (log-rank test, p < .001). The zero point indicated the index date
Cox model for coronary heart disease in patients with rheumatoid arthritis receiving different types of acupuncture treatment vs. not receiving acupuncture treatment
| n | CHD | Crude HR*(95%CI) | Adjusted HR† (95%CI) | |
|---|---|---|---|---|
| No-acupuncture | 9932 | 1223 | 1 (reference) | 1 (reference) |
| Acupuncture | ||||
| Manual acupuncture of TCM type | 8614 | 819 | 0.67(0.62–0.74)*** | 0.64(0.58–0.69)*** |
| Electroacupuncture | 340 | 19 | 0.48(0.31–0.76)** | 0.46(0.29–0.73)** |
| Combination of manual acupuncture and electroacupuncture | 978 | 71 | 0.39(0.30–0.49)*** | 0.36(0.28–0.46)*** |
Abbreviations: HR, hazard ratio; CHD, coronary heart disease; CI, confidence interval; and TCM, traditional Chinese medicine
Crude HR* represents relative hazard ratio. Adjusted HR† represents adjusted hazard ratio mutually adjusted for age, sex, diabetes mellitus, hypertension, hyperlipidemia, congestive heart failure, cerebral vascular diseases, depression, anxiety, alcoholism, tobacco dependence, obesity, Methotrexate, Hydroxychloroquine, Sulfasalazine, TNF-α inhibitors, oral steroids, NSAIDs and statins in Cox proportional hazard regression
**: p < 0.01; and ***: p < 0.001
Cox model for angina pectoris and chronic ischemic heart disease in patients with rheumatoid arthritis receiving acupuncture treatment vs. not receiving acupuncture treatment
| N | Angina pectoris | Chronic ischemic heart disease | ||||||
|---|---|---|---|---|---|---|---|---|
| n | Crude HR* | Adjusted HR† | n | Crude HR* (95%CI) | Adjusted HR† (95%CI) | |||
| Acupuncture | ||||||||
| No | 8733 | 24 | 1 (reference) | 1 (reference) | 516 | 1 (reference) | 1 (reference) | |
| Yes | 9044 | 21 | 0.79(0.44–1.43) | 0.72(0.4–1.3) | 358 | 0.59(0.52–0.68)*** | 0.56(0.49 − 0.64)*** | |
Crude HR* represents relative hazard ratio. Adjusted HR† represents adjusted hazard ratio mutually adjusted for age, sex, diabetes mellitus, hypertension, hyperlipidemia, congestive heart failure, cerebral vascular diseases, depression, anxiety, alcoholism, tobacco dependence, obesity, Methotrexate, Hydroxychloroquine, Sulfasalazine, TNF-α inhibitors, oral steroids, NSAIDs and statins in Cox proportional hazard regression
***: p < 0.001
The top five disease categories (as the reasons for clinical visits) in acupuncture user cohort
| Disease (ICD-9-CM) | Acupuncture users | |
|---|---|---|
| n | % | |
| Musculoskeletal system and connective tissue (710–739) | 6885 | 69.32 |
| Injury (800–999) | 5377 | 54.14 |
| Symptoms, signs and ill-defined conditions (780–799) | 700 | 7.05 |
| Nervous system (320–389) | 463 | 4.66 |
| Digestive system (520–579) | 302 | 3.04 |
Maximal of three ICD-9-CM codes could be recorded in one visit