Literature DB >> 33175150

Antidepressant and anticonvulsant prescription rates in patients with osteoarthritis: a population-based cohort study.

Jacoline J van den Driest1, Dieuwke Schiphof1, Marcel de Wilde2, Patrick J E Bindels1, Johan van der Lei2, Sita M A Bierma-Zeinstra1,3.   

Abstract

OBJECTIVES: There are signs that antidepressants and anticonvulsants are being prescribed more often for OA patients, despite limited evidence. Our objectives were to examine prescription rates and time trends for antidepressants and anticonvulsants in OA patients, to assess the percentage of long-term prescriptions, and to determine patient characteristics associated with antidepressant or anticonvulsant prescription.
METHODS: A population-based cohort study was conducted using the Integrated Primary Care Information database. First, episodic and prevalent prescription rates for antidepressants (amitriptyline, nortriptyline and duloxetine) and anticonvulsants (gabapentinoids) in OA patients were calculated for the period 2008-17. Logistic regression was used to assess which patient characteristics were associated with prescriptions.
RESULTS: In total, 164 292 OA patients were included. The prescription rates of amitriptyline, gabapentin and pregabalin increased over time. The increase in prescription rates for pregabalin was most pronounced. Episodic prescription rate increased from 7.1 to 13.9 per 1000 person-years between 2008 and 2017. Amitriptyline was prescribed most (15.1 episodic prescriptions per 1000 person-years in 2017). Prescription rates of nortriptyline and duloxetine remained stable at 3.0 and 2.0 episodic prescriptions per 1000 person-years, respectively. For ≤3% of patients with incident OA, medication was prescribed long-term (≥3 months). In general, all medication was prescribed more frequently for older patients (except duloxetine), women, patients with OA in ≥2 joints, patients with spinal OA and patients with musculoskeletal disorders.
CONCLUSION: Prescription rates of amitriptyline, gabapentin and pregabalin increased over time. Since there is little evidence to support prescription in OA, caution is necessary when prescribing.
© The Author(s) 2020. Published by Oxford University Press on behalf of the British Society for Rheumatology.

Entities:  

Keywords:  analgesics; anticonvulsants; antidepressants; gabapentinoids; osteoarthritis; pain

Year:  2021        PMID: 33175150      PMCID: PMC8121444          DOI: 10.1093/rheumatology/keaa544

Source DB:  PubMed          Journal:  Rheumatology (Oxford)        ISSN: 1462-0324            Impact factor:   7.580


An increase was found in prescription rates for amitriptyline, gabapentin and pregabalin in osteoarthritis patients. The prescription rate for pregabalin has doubled between 2008 and 2017. The prescription rates for nortriptyline and duloxetine have remained stable between 2008 and 2017.

Introduction

OA is a highly prevalent chronic pain condition of the musculoskeletal system. Approximately 15% of the population suffers from OA [1, 2]. Since the population is ageing and the number of persons with obesity is increasing, it is expected that the disease burden will increase [3]. Pain, joint stiffness and reduced function are important complaints among patients with OA. Different treatment options are available for OA-related pain [4, 5]. An important strategy is the use of analgesics in a stepwise approach. Paracetamol leads to a small, not clinically relevant, reduction of pain compared with a placebo (3%) and concerns have been raised about its long-term use [6]. Another treatment option is topical NSAIDs, with mean effect sizes of 0.30 for pain relief [7]. Oral NSAIDs have a clinically relevant effect for OA pain, but have serious gastrointestinal and cardiovascular side effects [8, 9]. Opioids are prescribed more frequently than in the past [10-12], but they lack a clinically relevant effect and have serious side effects and a risk of addiction [13, 14]. Another option may be the use of antidepressants or anticonvulsants, which are hypothesized to have an effect on central pain processing [15]. Signs of pain sensitization are present in around 40% of patients with OA [16, 17]. Most extensively studied for OA pain is the antidepressant duloxetine [18], a serotonin and noradrenalin reuptake inhibitor (SNRI). The Osteoarthritis Research Society International guideline recommends using duloxetine in polyarticular OA [5], while the National Institute for Health and Care Excellence guideline [19] and Dutch General Practitioner guideline [20] on OA do not advise using duloxetine because of insufficient evidence. Tricyclic antidepressants (TCAs) are used in the treatment of neuropathic pain and other chronic pain conditions; they inhibit presynaptic uptake of serotonin and noradrenaline [21]. The efficacy of TCAs for OA-related pain is unknown [22]. A study on the efficacy of the TCA nortriptyline in patients with knee OA is currently being carried out [23]. Also, the anticonvulsants pregabalin and gabapentin can inhibit centralized pain [24]. Pregabalin has been investigated for OA pain, and may have a positive effect on pain in hand and knee OA [25, 26]. Although none of these medications are registered for OA pain in the Netherlands, it might be that general practitioners (GPs) do already prescribe these as off-label medications for OA-related pain. A recent retrospective cohort study in the UK found an almost 3-fold increase in first prescriptions of gabapentin and pregabalin in patients with OA between 2005 and 2015 [27]. Earlier studies in US insurance claims databases found 20–30% of the OA patients used an antidepressant, and around 15% used an anticonvulsant, which was higher than in patients without OA. [28-30]. In the Netherlands, the antidepressants amitriptyline, nortriptyline and duloxetine, and the anticonvulsants gabapentin and pregabalin can be prescribed for neuropathic pain conditions [31], but it is unknown whether these medications are prescribed for pain in OA patients. The aim of the current study is to examine incident and prevalent prescription rates and time trends for prescriptions of antidepressants and anticonvulsants in OA patients. In addition, baseline characteristics associated with prescriptions will be assessed.

Methods

Setting

This study was conducted using the Integrated Primary Care Information (IPCI) database. The IPCI database is a primary healthcare database that contains the electronic patient records of over 1.5 million patients in the Netherlands. In the Netherlands, the GP acts as a gatekeeper to secondary care. The electronic records contain all relevant medical information: the medical journal recorded by the GP, diagnoses according to the International Classification of Primary Care (ICPC) codes, laboratory results and referrals to secondary care. Furthermore, it contains all drug prescriptions, which are coded according to the Anatomical Therapeutic Chemical (ATC) classification code.

Study cohort

The study cohort consisted of all patients aged ≥30 years with a diagnosis of OA in the period between 1 January 2008 and 31 December 2017. Patients with newly diagnosed OA in this period (incident OA) as well as patients with a medical history of OA (prevalent OA) were included in the cohort. The diagnosis of OA was based on the ICPC codes L84 (spinal OA), L89 (hip OA), L90 (knee OA) and L91 (other peripheral joints affected by OA). Earlier research showed that the positive predictive value of these codes for having OA is ∼90% [32]. Patients who had a total knee or hip replacement during or before the study period were retained in the cohort. Patients had to have at least 12 months of valid database history prior to the study entry to assure complete medical records. Patients were followed until the GP practice stopped contributing data to the database, until the end of the study period (31 December 2017) or until 1 year before first diagnosis of a malignancy or until 1 year before death. Those patients were excluded because there is a high probability that antidepressants and anticonvulsants were prescribed for pain not related to OA. GPs can use different healthcare information systems to record medical information. Healthcare information systems needed to provide at least 6 years of data so that time trends could be examined. This resulted in the exclusion of one healthcare information system (Webhis), which provided 5 years of data. In addition, a subset of patients with OA were selected who did not have comorbidities for which antidepressants and anticonvulsants could be prescribed (OA without comorbidities). Comorbidities for which antidepressants and anticonvulsants could be prescribed were selected based on an earlier study using the IPCI database [33]. Frequently occurring indications for antidepressants were depression (P03 and P76), anxiety (P01 and P74), sleep disorders (P06), psychosis and schizophrenia (P71, P72 and P98) and neuropathic pain disorders (N94). Patients with epilepsy (N88) and fibromyalgia (L18.01) were often prescribed gabapentin and pregabalin. All patients with these comorbidities were excluded from 1 year prior to the first date of the diagnosis. The presence of other musculoskeletal disorders during the cohort period was defined as a minimum of one ICPC diagnosis code for other complaints of the musculoskeletal system. This subset of codes includes non-specific diagnoses, for example shoulder or hip complaints. The group of back/neck symptoms also includes the ICPC codes for radiculopathy.

Outcomes

The prescriptions were identified by the ATC code. Prescriptions of amitriptyline (N06AA09), nortriptyline (N06AA10), duloxetine (N06AX21), pregabalin (N03AX16) and gabapentin (N03AX12) were evaluated. The first prescription rate was defined as the total number of patients with a first prescription of the medication divided by the total number of person-years per calendar year. Patients were excluded from the denominator for this subanalysis after receiving a first prescription. The episodic rate of these prescriptions was defined as the total number of new episodes of medication prescriptions divided by the total number of person-years per calendar year. A new episode was determined as occurring if there was no prescription in the preceding 6 months. The prevalent prescription rate was defined as the total number of patients who had at least one prescription of the specific drug divided by the number of person-years per calendar year. Furthermore, the percentage was determined of the patients with incident OA who were prescribed an antidepressant or anticonvulsant for a period longer than 3 months in a follow-up year (long-term prescription). In the IPCI database, the median prescription duration was 30 days for amitriptyline, 21 days for nortriptyline, 30 days for duloxetine, 30 days for gabapentin and 28 days for pregabalin. Therefore, four prescriptions of the medication per follow-up year was defined as long-term prescription.

Statistical analyses

Descriptive statistics were performed to assess baseline characteristics and to calculate first, incidence and prevalence rates (with their 95% CIs) of the medication prescribed. Possible time trends in medication prescriptions were assessed using joinpoint regression analysis. Permutation tests using Monte Carlo methods were used to determine whether a marked change in trend (e.g. joinpoint) occurred. Since trends were examined over 10 years (10 data points), only one joinpoint was allowed. The joinpoint analysis provides information on the trend over the complete 10 years, the average annual percentage change (AAPC). When a marked change in trend is present, the annual percentage change (APC) is additionally reported to describe the two different trends. Analyses were performed with the Joinpoint Regression Program (Version 4.8.0.1, released 22 April 2020, available at https://surveillance.cancer.gov/joinpoint/, National Cancer Institute. To assess the baseline characteristics (age, sex, joints affected and presence of other musculoskeletal disorders) associated with antidepressant and anticonvulsant prescriptions, univariable and multivariable logistic regression analyses were performed and odds ratios (ORs) and their 95% CIs were calculated. Variables were included in the multivariable regression analyses if P <0.1 in the univariable analysis for that variable. Analyses were performed using SPSS Statistics version 24 (IBM Corp., Armonk, NY, USA).

Study approval

The study was approved by the Board of Directors of the IPCI database.

Results

Study population

In total, 164 292 patients with OA were included in the cohort, of whom 59 053 were newly diagnosed with OA. The average follow-up time per patient was 3 years and 5 months. Two-thirds of the patients were female, and the mean age was 66.6 years (s.d. 12.4) (Table 1). With regard to the joints affected, the biggest category was patients with knee OA (27.4%). Almost a quarter of patients had a diagnosis in two or more joint groups. It was common for there to be other musculoskeletal disorders during the cohort period (64.9%). The cohort subset of OA patients without comorbidities for which antidepressants and anticonvulsants could be prescribed, consisted of 99 099 patients. The baseline characteristics of these patients were very similar. However, these patients were slightly younger (mean age 66.4 as opposed to 66.6), and also had slightly fewer musculoskeletal (61.8% vs 64.9%) and cardiovascular disorders (54.4% vs 58.1%). Furthermore, patients with incident OA were younger (mean age 64.2 vs 67.9) and had fewer musculoskeletal and cardiovascular disorders than patients with prevalent OA (Supplementary Tables S1 and S2, available at Rheumatology online).
1

Baseline characteristics

OA patients (n = 164 292)OA patients without comorbidities1 (n = 99 099)
Age, mean (s.d.), years66.6 (12.4)66.4 (12.3)
Age category, n (%)
 30–392637 (1.6)1730 (1.7)
 40–4912007 (7.3)7246 (7.3)
 50–5932 786 (20.0)19 276 (19.5)
 60–6948 756 (29.7)30 156 (30.4)
 70–7940 749 (24.8)25 195 (25.4)
 80–8923 639 (14.4)13 543 (13.7)
 ≥903718 (2.3)1953 (2.0)
Female, n (%)107 438 (65.2)60 720 (61.3)
Joints affected, n (%)
 Spine17 243 (10.5)10 180 (10.3)
 Hip27 762 (16.9)18 075 (18.2)
 Knee45 064 (27.4)28 610 (28.9)
 Other joints37 753 (23.0)22 189 (22.4)
 2 or more joints36 470 (22.2)20 045 (20.2)
Comorbidities
 Diabetes, n (%)25 175 (15.3)13 608 (13.7)
 Hypertension, n (%)66 866 (40.7)38 005 (38.4)
 Hyperlipidaemia, n (%)29 224 (17.8)15 497 (15.6)
 MI/AP, n (%)18 868 (11.5)9674 (9.8)
 Stroke/TIA, n (%)6352 (3.9)3114 (3.1)
 PAD, n (%)6365 (3.9)3096 (3.1)
 UGI/ulcer, n (%)5723 (3.5)2753 (2.8)
 Heart failure, n (%)6989 (4.3)3374 (3.4)
 Inflammatory arthritis, n (%)7949 (4.8)4122 (4.2)
 Fibromyalgia, n (%)2492 (1.5)NA
 Neuropathic pain disorder, n (%)19 202 (11.7)NA
 Depression, n (%)28 714 (17.5)NA
 Anxiety, n (%)27 397 (16.7)NA
 Psychosis, n (%)4084 (2.5)NA
 Sleeping disorder, n (%)32 278 (19.6)NA
 Epilepsy, n (%)2404 (1.5)NA
Other MSD during cohort time, n (%)
 Upper extremity39 061 (23.8)21 702 (21.9)
 Lower extremity61 076 (37.2)34 485 (34.8)
 Back/neck51 260 (31.2)28 105 (28.4)
 Other musculoskeletal50 559 (30.8)27 486 (27.7)
 None57 609 (35.1)37 903 (38.2)
Renal function, n (%)
 eGFR>60 ml/min103 952 (63.3)59 613 (60.2)
 eGFR 30–60 ml/min19 382 (11.8)10 794 (10.9)
 eGFR<30 ml/min1614 (1.0)896 (0.9)
 Missing39 344 (23.9)27 796 (28.0)

MI: myocardial infarction; AP: angina pectoris; TIA: transient ischemic attack; PAD: peripheral arterial disease; UGI: upper gastro-intestinal; MSD: musculoskeletal disorder; eGFR: estimated glomerular filtration rate.

Baseline characteristics MI: myocardial infarction; AP: angina pectoris; TIA: transient ischemic attack; PAD: peripheral arterial disease; UGI: upper gastro-intestinal; MSD: musculoskeletal disorder; eGFR: estimated glomerular filtration rate.

Time trends for first prescriptions

In the study period, the first prescription rates of gabapentin and pregabalin increased from 2.2 to 3.0 prescriptions per 1000 person-years [AAPC 12.0% (95% CI: 6.6, 17.8)] and from 6.0 to 9.4 prescriptions per 1000 person-years [AAPC 4.8% (95% CI: 0.9, 8.8)], respectively (Fig. 1 and Table 2). The first prescription rates of amitriptyline and nortriptyline remained stable. The first prescription rate of duloxetine decreased. The trends were similar for the subset of the cohort without comorbidities. The absolute number of prescriptions was lower. The prescription rates were similar for patients with incident and prevalent OA (see Supplementary Fig. S1 for prescription rates in incident and prevalent OA and Supplementary Tables S3 and S4 for the absolute numbers, available at Rheumatology online.)
. 1

Prescription rates of antidepressant and anticonvulsant prescriptions in OA patients

PY: person-years.

2

Time trends in prescription rates of antidepressants and anticonvulsants

Overall trend [AAPC (95% CI)]Joinpoint (95% CI)Trend 1Trend 2
APC (95% CI)APC (95% CI)
TOTAL COHORT
 AmitriptylineFirst0.4 (−1.5, 2.3)2014 (2012, 2015)5.2 (2.3, 8.2)−8.6 (−13.1, −3.9)
Episodic2.6 (0.6, 4.6)2014 (2012, 2015)7.6 (4.5, 10.8)−6.7(−11.2, −2.0)
Prevalent3.1 (1.2, 4.9)2013 (2012, 2015)7.5 (3.8, 11.4)−2.2 (−5.0, 0.6)
 NortriptylineFirst5.0 (−1.3, 11.6)
Episodic3.7 (−1.2, 8.9)
Prevalent2.8 (−0.3, 6.0)
 DuloxetineFirst−7.0 (−9.7, −4.1)
Episodic−2.4 (−5.1, 0.3)
Prevalent3.8 (0.1, 7.7)2011 (2010, 2012)−0.6 (−2.7, 1.6)
 GabapentinFirst5.9 (2.3, 9.7)
Episodic4.1 (1.0, 7.4)
Prevalent2.4 (0.9, 3.8)
 PregabalinFirst6.6 (2.9, 10.4)2012 (2010, 2015)12.6 (2.4, 23.8)1.9 (−1.5, 5.5)
Episodic8.2 (5.9, 10.5)2013 (2011, 2014)12.0 (7.2, 17.0)3.5 (0.3, 6.8)
Prevalent8.8 (7.7, 9.9)2013 (2012, 2015)12.7(10.4, 15.0)4.1 (2.7, 5.6)
WITHOUT COMORBIDITIES
 AmitriptylineFirst−1.8 (−5.5, 2.1)
Episodic0.8 (−3.8, 5.6)2013 (2011, 2015)7.5 (−1.6, 17.5)−7.1 (−14.2, 0.7)
Prevalent1.2 (−1.6, 4.0)2013 (2012, 2015)7.3 (1.8, 13.0)−5.9 (−10.3, −1.3)
 NortriptylineFirst−2.6 (−11.1, 6.6)
Episodic−2.2 (−10.5, 6.8)
Prevalent−2.4 (−9.6, 5.4)
 DuloxetineFirst−12.3 (−17.5, −6.8)
Episodic−7.9 (−13.2,−2.4)
Prevalent0.2 (−3.5, 4.0)2011 (2010, 2012)14.4 (−0.4, 31.3)−6.3 (−8.7, −3.8)
 GabapentinFirst12.0 (6.6, 17.8)
Episodic9.9 (6.2, 13.8)
Prevalent4.1 (1.5, 6.9)
 PregabalinFirst4.8 (0.9, 8.8)
Episodic6.3 (3.4, 9.2)
Prevalent8.9 (5.1, 12.9)2012 (2011, 2015)16.5 (5.8, 28.3)3.2 (−0.2, 6.8)
Prescription rates of antidepressant and anticonvulsant prescriptions in OA patients PY: person-years. Time trends in prescription rates of antidepressants and anticonvulsants

Time trends for episodic prescriptions

In the period 2008–17, amitriptyline was the drug most often prescribed in patients with OA (Fig. 1). The incident prescription rate was 15.1 per 1000 person-years in 2017. The episodic prescription rates for amitriptyline, gabapentin and pregabalin increased over that time period. The increase in prescription rates for pregabalin was most pronounced, from 7.1 per 1000 person-years in 2008 to 13.8 per 1000 person-years in 2017. This was an average annual percentage change (AAPC) of 8.3% (95% CI: 5.9, 10.5) (Table 2). The prescription rates for nortriptyline and duloxetine remained stable over this decade. Absolute prescription rates were lower in the subset of patients without comorbidities than in the total cohort (Fig. 1). The prescription rate for pregabalin almost doubled in this subset as well, from 4.1 to 7.1 prescriptions per 1000 person-years. The prescription rates for amitriptyline remained relatively stable in this subset, at around 8.0 prescriptions per 1000 person-years, while there was an increase in the total cohort. The increase in prescription rates of gabapentin in this subset was from 1.6 to 3.0 [AAPC 9.9% (95% CI: 6.2, 13.8)] and was more pronounced than in the total cohort.

Time trends for prevalent prescriptions

The time trends for the prevalent prescription rates showed similar patterns to the episodic prescription rates (Fig. 1). In the total population, prescription rates increased for amitriptyline, gabapentinand and pregabalin (Table 2). In addition, the prescription rate of duloxetine increased [AAPC 3.8% (95% CI: 0.1, 7.7)]. The prescription rate for pregabalin almost doubled from 11.9 prescriptions per 1000 person-years in 2008 to 23.3 prescriptions per 1000 person-years in 2017. Prescription rates were lower in the subset of patients without comorbidities. The prescription rate for gabapentin and pregabalin increased in this subset, while the prescription rates for the other medications remained stable.

Rates for long-term prescription

Long-term prescription was defined as the prescription of antidepressants or anticonvulsants for more than 3 months in a follow-up year. In patients with incident OA, ∼40% of the patients who were prescribed an antidepressant had a long-term prescription for that antidepressant (Table 3). In the patients who were prescribed an anticonvulsant, this figure was 30%.
3

Long-term prescription of antidepressants and anticonvulsants in patients with incident OA

AgeAmitriptylineNortriptylineDuloxetineGabapentinPregabalin
N (% users/% population) N (% users/% population) N (% users/% population) N (% users/% population) N (% users/% population)
Female30–4998 (44.1/2.9)10 (41.7/0.3)20 (64.5/1.9)11 (33.3/0.3)41 (38.0/1.2)
50–69392 (41.7/2.5)61 (46.2/0.4)66 (53.7/0.3)72 (34.0/0.5)233 (37.4/1.5)
70+246 (40.7/2.4)67 (49.6/0.7)24 (36.9/0.4)52 (34.2/0.5)142 (36.1/1.4)
Male30–4929 (37.6/1.4)8 (47.1/0.4)6 (46.2/2.3)3 (11.1/0.1)17 (27.4/0.8)
50–69140 (40.2/1.5)25 (38.5/0.3)19 (45.2/0.5)31 (28.4/0.3)111 (40.1/1.2)
70+71 (42.3/1.5)12 (32.4/0.2)4 (20.0/0.4)10 (21.3/0.2)59 (37.6/1.2)
Long-term prescription of antidepressants and anticonvulsants in patients with incident OA

Characteristics associated with antidepressant and anticonvulsant prescriptions

A higher age at baseline was associated with higher episodic prescription rates of amitriptyline, nortriptyline, gabapentin (except for age ≥ 90) and pregabalin (Table 4, multivariable analyses; see Supplementary Table S5, available at Rheumatology online, for univariable analyses). Nortriptyline in particular was prescribed in elderly patients [age ≥ 90: OR 2.23 (1.18–4.20)]. Prescription rates for duloxetine declined with increasing age. Men were less likely to be prescribed antidepressants and anticonvulsants than women. Furthermore, patients with ≥2 joint groups affected were more likely to be prescribed duloxetine, gabapentin and pregabalin than patients with spinal OA, while patients with knee, hip or other peripheral OA were less likely to be prescribed amitriptyline, nortriptyline and pregabalin than patients with spinal OA (Table 4 and Supplementary Fig. S2 and Table S6, available at Rheumatology online). Finally, patients who visited their GP regarding other musculoskeletal disorders during the cohort period were more likely to be prescribed antidepressants and anticonvulsants; this was especially marked for patients with ≥2 musculoskeletal disorders.
4

Multivariable regression analyses characteristics associated with antidepressant or anticonvulsant prescription

Amitriptyline
Nortriptyline
Duloxetine
Gabapentin
Pregabalin
n (%)OR (95% CI) n (%)OR (95% CI) n (%)OR (95% CI) n (%)OR (95% CI) n (%)OR (95% CI)
Age category
30–3986 (3.3)113 (0.5)126 (1.0)115 (0.6)167 (2.5)1
40–49685 (5.7) 1.69 (1.34, 2.12) 107 (0.9)1.73 (0.97, 3.07)126 (1.0)1.00 (0.65, 1.52)125 (1.0)1.70 (0.99, 2.91)429 (3.6) 1.34 (1.03, 1.74)
50–591863 (5.7) 1.62 (1.30, 2.03) 275 (0.81.59(0.91, 2.78)301 (0.9)0.83 (0.55, 1.24)402 (1.2) 1.90 (1.13, 3.19) 1234 (3.8) 1.37 (1.06, 1.76)
60–692494 (5.1) 1.50 (1.20, 1.87) 462 (0.9) 1.86 (1.07, 3.24) 300 (0.6) 0.56 (0.37, 0.84) 675 (1.4) 2.10 (1.26, 3.51) 1905 (3.9) 1.46 (1.14, 1.86)
70–792361 (5.8) 1.63 (1.31, 2.03) 549 (1.3) 2.56 (1.47, 4.46) 270 (0.7) 0.57 (0.37, 0.85) 590 (1.4) 2.06 (1.23, 3.46) 1794 (4.4) 1.59 (1.24, 2.04)
80–891248 (5.3) 1.49 (1.19, 1.87) 365 (1.5) 2.98 (1.71, 5.21) 133 (0.6) 0.49 (0.32, 0.74) 295 (1.2) 1.79 (1.06, 3.02) 868 (3.7) 1.36 (1.05, 1.75)
> 90126 (3.6)1.05 (0.80, 1.40)39 (1.0) 2.23 (1.18, 4.20) 9 (0.2) 0.72 (0.11, 0.50) 20 (0.5) 0.86 (0.78, 0.95) 85 (2.3)0.98 (0.71, 1.36)
Gender
Female7237 (6.3)11371 (1.3)1862 (0.8)11495 (1.4)14570 (4.3)1
Male2202 (3.6) 0.62 (0.59, 0.65) 439 (0.8) 0.69 (0.63, 0.76) 303 (0.5) 0.72 (0.63, 0.82) 627 (1.1) 0.86 (0.78, 0.95) 1812 (3.2) 0.84 (0.79, 0.89)
Joint affected
Spine1138 (6.2)1207 (1.2)1131 (0.8)1196 (1.1)1739 (4.3)1
Hip1256 (4.2) 0.70 (0.64, 0.76) 277 (1.0) 0.82 (0.78, 0.98) 166 (0.6)0.91 (0.73, 1.15)348 (1.3)1.14 (0.96, 1.37)868 (3.1) 0.76 (0.69, 0.84)
Knee2043 (4.3) 0.70 (0.65, 0.74) 387 (0.9) 0.72 (0.61, 0.85) 230 (0.5) 0.75 (0.60, 0.93) 543 (1.2)1.09 (0.93, 1.29)1363 (3.0) 0.73 (0.67, 0.80)
Other peripheral joints1957 (4.8) 0.73 (0.67, 0.79) 362 (1.0) 0.81 (0.69, 0.97) 250 (0.7)0.84 (0.68, 1.04)305 (0.8) 0.71 (0.60, 0.84) 1238 (3.3) 0.76 (0.69, 0.83)
Two or more joints3045 (7.9)1.04 (0.96, 1.11)577 (1.6)1.00 (0.85, 1.18)388 (1.1) 1.34 (1.09, 1.64) 730 (2.0) 1.48 (1.26, 1.74) 2174 (6.0) 1.14 (1.04, 1.24)
MSD
No MSD1373 (2.3)1322 (0.6)1198 (0.3)1352 (0.6)1802 (1.4)1
Upper extremity240 (3.0) 1.28 (1.11, 1.48) 60 (0.8) 1.44 (1.09, 1.90) 32 (0.4)1.17 (0.80, 1.70)66 (0.9) 1.43 (1.10, 1.86) 190 (2.5) 1.79 (1.53, 2.10)
Lower extremity718 (4.0) 1.78 (1.62, 1.95) 135 (0.8) 1.42 (1.16, 1.74) 73 (0.4)1.23 (0.94, 1.61)200 (1.2) 1.87 (1.57, 2.22) 456 (2.7) 1.93 (1.72, 2.17)
Neck/back690 (5.5) 2.43 (2.21, 2.68) 157 (1.3) 2.39 (1.98, 2.90) 90 (0.8) 2.12 (1.65, 2.72) 154 (1.3) 2.12 (1.75, 2.57) 519 (4.5) 3.19 (2.85, 3.65)
Other MSD485 (4.2) 1.76 (1.58, 1.96) 105 (1.0) 1.72 (1.38, 2.15) 49 (0.5)1.23 (0.90, 1.69)110 (1.0) 1.63 (1.31, 2.02) 278 (2.6) 1.81 (1.57, 2.07)
≥2 MSD5933 (9.1) 3.89 (3.65, 4.14) 1031 (1.7) 2.97 (2.62, 3.38) 723 (1.2) 3.07 (2.61, 3.60) 1240 (2.1) 3.15 (2.79, 3.56) 4137 (6.9) 4.82 (4.46, 5.21)

Values in bold are statistically significant (P< 0.05). The multivariable regression analyses were adjusted for age, gender, joint affected and musculoskeletal disorders. MSD: musculoskeletal disorders.

Multivariable regression analyses characteristics associated with antidepressant or anticonvulsant prescription Values in bold are statistically significant (P< 0.05). The multivariable regression analyses were adjusted for age, gender, joint affected and musculoskeletal disorders. MSD: musculoskeletal disorders.

Discussion

In this study, we examined the prescription rates and time trends in prescription rates for antidepressants and anticonvulsants in patients with OA. We found an increase in episodic and prevalent prescription rates for amitriptyline, gabapentin and pregabalin and an increase in first prescription rates for gabapentin and pregabalin between 2008 and 2017. The increase was most pronounced for pregabalin, for which the episodic prescription rate increased from 7.1 to 13.8 per 1000 person-years. The prescription rates for nortriptyline and duloxetine remained stable over time. Amitriptyline was the most prescribed drug in patients with OA. Prescriptions were positively associated with a higher age at baseline (except for duloxetine), the diagnosis of other musculoskeletal disorders during the cohort period, and the diagnosis of OA in two or more joint groups when compared with a diagnosis of spinal OA. The diagnosis of OA in hip, knee or other peripheral joints was associated with lower prescription rates for amitriptyline, nortriptyline and pregabalin compared with spinal OA. The prevalent prescription rates we found were lower than the rates in other studies. Two US insurance claim studies of OA patients found that ∼30% of the population was prescribed an antidepressant in a year [28, 29]. Another US insurance claim study, which included patients with at least one opioid prescription in a 2-year period, found that 10% of the patients were prescribed an antidepressant and 7% an anticonvulsant, which could also be prescribed for pain [30]. These studies were cross-sectional and examined the prescriptions of all antidepressants and anticonvulsants [28–30, 34], whereas a specific selection was made in our study. Moreover, earlier studies of antidepressant prescription rates found that these rates were lower in the Netherlands than in other countries [35]. Furthermore, we included all patients with an incident or prevalent diagnosis of OA in the cohort (including people with total hip or total knee replacements), while other studies included patients with a medication claim or opioid use, which could also be a reason for the lower numbers in our study. Time trends for prescription rates for antidepressants and anticonvulsants have been examined in the general population in various countries. The prescription rates of TCAs have remained stable or even decreased in the past decade [33, 35], and TCAs are prescribed more frequently for indications other than depression and anxiety, e.g. for neuropathic pain disorders, sleeping disorders and other off-label indications [33]. One study evaluating the prescription rates of antidepressants by British GPs found a stable prescription rate for TCAs, but an increase in prescriptions of low-dose amitriptyline, indicating prescribing for indications other than depression and anxiety [36]. We have found an increase in prescription rates of amitriptyline and nortriptyline in the total cohort of OA patients, in contrast to the stable prescription rate other studies have found. This reflects the increase in the prescription for indications other than depression and anxiety. The prescription rate of pregabalin almost doubled in our population between 2008 and 2017, and the prescription rate of gabapentin also increased. The rapid increase in prescriptions of gabapentin and pregabalin is also found in the general population [37, 38]: up to a tripling of prescription rates in the past decade has been reported in the UK, with incident prescription rates of 6.8 per 1000 persons per year for gabapentin and 3.8 per 1000 persons per year for pregabalin [37]. For OA, a retrospective cohort study in the UK found an almost tripled rate of first prescriptions of gabapentinoids between 2005 and 2015, with a prescription rate of 27.6 per 1000 person-years in 2015 [27]. In this study, we found a less steep increase and lower absolute numbers. In the Netherlands, data from pharmacies show a tripling of prescription rates for pregabalin and relatively stable rates of gabapentin prescriptions [39]. Pregabalin was registered earlier than gabapentin for neuropathic pain disorders in the Netherlands [40], which may have influenced prescription rates. Concerns about this increase have been raised [41, 42]. The use is associated with side effects, especially in older patients [43], and gabapentin and pregabalin are often prescribed off-label without enough clinical evidence to support prescription. Only a few studies on anticonvulsants for OA pain have been carried out. In addition, there is some evidence for the misuse and abuse of gabapentin and pregabalin [44, 45]. In the UK, gabapentin and pregabalin became controlled class C drugs in April 2019 since the number of deaths related to these medications had increased [46]. We found that increasing age, being female, the presence of other musculoskeletal disorders and the location of OA (spinal OA, and OA in ≥2 joint groups) were positively associated with prescriptions of antidepressants and anticonvulsants. Increasing age and being female are also found to be associated with higher prescription rates in other studies [34, 36, 47]. To our knowledge, the effect of the presence of other musculoskeletal disorders and the type of joints involved in OA has not previously been investigated. It might be that GPs see more reason to prescribe these medicines to patients with back complaints and to patients with more generalized pain. We calculated the time trends of prescription rates for all patients and for patients without comorbidities. The absolute numbers of prescriptions were lower in the OA group without comorbidities. Also, in this subgroup an increase in prescription rates was found for gabapentin and pregabalin but not for the antidepressants. This subgroup is more likely to consist of patients for whom these medications are prescribed for OA-related pain, but even in patients without comorbidities for which these medications are usually prescribed, antidepressants and anticonvulsants may have been prescribed for indications other than OA-related pain. Anxiety, depression and sleep disorders are associated with pain and functional impairment and are more common in OA patients [48-50]. A GP might decide that antidepressants or anticonvulsants could benefit patients with these comorbidities since multiple problems exist. A strength of the current study is that it was conducted using a large database containing a representative sample of the Dutch population. There are some limitations to the current study. Patients were only included in the cohort when diagnosed with OA. Since GPs may have been too rigorous or not rigorous enough in deciding when to use these ICPC codes, this may have led to an underestimation or overestimation of the number of patients with OA. UK primary healthcare database research found that OA is probably under-recorded in patients having total hip or knee replacements [51]. This would mean that underestimation of the total number of patients with OA is more likely. Furthermore, as mentioned earlier, the indication for the prescriptions of antidepressants and anticonvulsants is not always clear in the medical records, and prescriptions may relate to another indication than OA-related pain. In conclusion, prescription rates of amitriptyline, gabapentin and pregabalin increased in the past decade in patients with OA. Prescription rates of duloxetine and nortriptyline remained stable. This rise is concerning since these prescriptions are for off-label indications and there is little evidence to support the prescription of these antidepressants and anticonvulsants in patients with OA. Since these medicines have side effects, and concerns about the misuse of gabapentin and pregabalin have been raised, these medications should be prescribed with caution for OA-related pain. Click here for additional data file.
  46 in total

Review 1.  Misuse and abuse of pregabalin and gabapentin: cause for concern?

Authors:  Fabrizio Schifano
Journal:  CNS Drugs       Date:  2014-06       Impact factor: 5.749

2.  Complexity of pain management among patients with nociceptive or neuropathic neck, back, or osteoarthritis diagnoses.

Authors:  Chris M Kozma; David A Provenzano; Terra L Slaton; Aarti A Patel; Carmela J Benson
Journal:  J Manag Care Spec Pharm       Date:  2014-05

3.  Trends in First Gabapentin and Pregabalin Prescriptions in Primary Care in the United Kingdom, 1993-2017.

Authors:  François Montastruc; Simone Y Loo; Christel Renoux
Journal:  JAMA       Date:  2018-11-27       Impact factor: 56.272

Review 4.  Antidepressants and gabapentinoids in neuropathic pain: Mechanistic insights.

Authors:  Mélanie Kremer; Eric Salvat; André Muller; Ipek Yalcin; Michel Barrot
Journal:  Neuroscience       Date:  2016-07-09       Impact factor: 3.590

5.  Changes in utilisation of antiepileptic drugs in epilepsy and non-epilepsy disorders-a pharmacoepidemiological study and clinical implications.

Authors:  Arton Baftiu; Cecilie Johannessen Landmark; Ida Rudberg Rusten; Silje Andrea Feet; Svein I Johannessen; Pål G Larsson
Journal:  Eur J Clin Pharmacol       Date:  2016-07-13       Impact factor: 2.953

6.  Clinical comorbidities, treatment patterns, and direct medical costs of patients with osteoarthritis in usual care: a retrospective claims database analysis.

Authors:  Mugdha Gore; Kei-Sing Tai; Alesia Sadosky; Douglas Leslie; Brett R Stacey
Journal:  J Med Econ       Date:  2011-06-20       Impact factor: 2.448

Review 7.  Prevalence of neuropathic pain in knee or hip osteoarthritis: A systematic review and meta-analysis.

Authors:  Helen P French; Keith M Smart; Frank Doyle
Journal:  Semin Arthritis Rheum       Date:  2017-02-20       Impact factor: 5.532

8.  Dynamic Effects of Depressive Symptoms on Osteoarthritis Knee Pain.

Authors:  Alan M Rathbun; Elizabeth A Stuart; Michelle Shardell; Michelle S Yau; Mona Baumgarten; Marc C Hochberg
Journal:  Arthritis Care Res (Hoboken)       Date:  2017-12-06       Impact factor: 4.794

Review 9.  Antidepressants in the treatment of neuropathic pain.

Authors:  Søren H Sindrup; Marit Otto; Nanna B Finnerup; Troels S Jensen
Journal:  Basic Clin Pharmacol Toxicol       Date:  2005-06       Impact factor: 4.080

10.  Opioid prescriptions in patients with osteoarthritis: a population-based cohort study.

Authors:  Jacoline J van den Driest; Dieuwke Schiphof; Marcel de Wilde; Patrick J E Bindels; Johan van der Lei; Sita M A Bierma-Zeinstra
Journal:  Rheumatology (Oxford)       Date:  2020-09-01       Impact factor: 7.580

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Review 1.  Depression in Osteoarthritis: Current Understanding.

Authors:  Shen-Tao Wang; Guo-Xin Ni
Journal:  Neuropsychiatr Dis Treat       Date:  2022-02-22       Impact factor: 2.570

2.  No Added Value of Duloxetine in Patients With Chronic Pain due to Hip or Knee Osteoarthritis: A Cluster-Randomized Trial.

Authors:  Jacoline J van den Driest; Dieuwke Schiphof; Aafke R Koffeman; Marc A Koopmanschap; Patrick J E Bindels; Sita M A Bierma-Zeinstra
Journal:  Arthritis Rheumatol       Date:  2022-03-16       Impact factor: 15.483

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