12-month results from the real-life observational treat-to-target and tight-control therapy NOR-Gout study: achievements of the urate target levels and predictors of obtaining this target.

OBJECTIVES: Gout is often not adequately treated, and we aimed to apply urate lowering treatment (ULT) combined with individual information to achieve target serum urate (sUA) in clinical practice, and to identify predictors of achievement of this sUA target.
METHODS: Patients with a recent gout flare and sUA >360 µmol/L (>6 mg/dL) were consecutively included in a single-centre study and managed with a treat-to-target approach combining nurse-led information about gout with ULT. All patients were assessed with tight controls at baseline, 1, 2, 3, 6, 9 and 12 months including clinical examination, information on demographics, lifestyle, self-efficacy and beliefs about medicines. The treatment target was sUA <360 µmol/L and multivariable logistic regression was used to identify predictors of target attainment with ORs and 95% CIs.
RESULTS: Of 211 patients (mean age 56.4 years, disease duration 7.8 years, 95% males), 186 completed the 12-month study. Mean sUA levels decreased from baseline mean 500 to 311 µmol/L at 12 months with 85.5% achieving the treatment target. Alcohol consumption at least weekly versus less frequently (OR 0.14; 95% CI 0.04 to 0.55) as well as beliefs in overuse of medicines (OR per unit 0.77; 95 CI 0.62 to 0.94) decreased the chance of reaching the treatment target, while higher self-efficacy for arthritis symptoms (OR 1.49 per 10 units; 95% CI 1.09 to 2.05) increased the likelihood.
CONCLUSIONS: This study shows that target sUA can be achieved with ULT in most patients. Less self-reported alcohol consumption, low beliefs in overuse of medicines and higher self-efficacy are associated with treatment success. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

In patients with gout, urate lowering treatment (ULT) leads to achieving a low level of serum urate (sUA).

This large longitudinal study of patients with gout with a treat-to-target approach of urate lowering therapy in combination with information by a study nurse and frequent follow-up resulted in satisfactory sUA levels in about 85% of patients after 12 months.

More frequent alcohol consumption and general beliefs on that drugs are overused decreased the change achieving low sUA target values, whereas self-efficacy contributed to a good treatment outcome.

Successful gout management is attainable, and more attention towards addressing modifiable factors could further increase long-term adherence to ULT and health promoting lifestyle.

Introduction

Gout is a prevalent inflammatory joint disease.1–3 Long-standing hyperuricaemia leads to formation and deposition of monosodium urate crystals in joints and other tissues with inflammation causing erosions, severe pain and disability.4–6 Globally, gout entails a significant burden of disease.7

To reduce disease burden, initiation of urate lowering therapy (ULT) is recommended, and should be considered shortly after diagnosis.8 However, despite established and clear treatment recommendations8–10 and easily available and effective medication, gout is often poorly managed,11 and ULT is seldom started early in the disease.12 The concept of ULT gout treatment is challenged13 and not well perceived by physicians.14

Physicians do not view the impact of gout nearly as severely as patients do,15 and the majority of patients do not reach required target levels.16 These practices have led to poor medication adherence,17 with as few as 10% of patients with gout adhering to their treatment.18

A nurse-led study from Nottingham, UK, involved patients and included lifestyle advice along with a treat-to-target strategy for ULT, demonstrating that >90% of participants reduced their serum urate (sUA) to <360 µmol/L at 1 year.19 A subsequent new randomised controlled trial demonstrated similar effectiveness over 2 years as compared with usual general practitioner-led care.20

Reasons for unsuccessful treatment of gout with ULT may be inherent to treatment traditions among physicians21 contributing to low adherence to coping, lifestyle changes and medication. High alcohol consumption is seen in many patients with gout,6 but psychological factors, such as self-efficacy and beliefs in medicines have not been studied. Further, there is a scarcity of prospective clinical practice research to examine the effectiveness of ULT in a tight control and treat-to-target strategy and to identify factors associated with the sUA outcome (the target). In this study, we applied ULT and patient information in tightly scheduled follow-up visits to estimate how often the sUA target could be reached, and examined which factors predicted achievement of the target.

Methods

Study design and participants

NOR-Gout (Gout in Norway) is a prospective, observational single-centre study in a hospital-based rheumatology unit. Patients were eligible if having a gout flare within the last month, had increased sUA levels (>360 μmol/L), and no contraindication for ULT. No other previous gout flares were required. They were consecutively included according to the protocol (ACTRN12618001372279). All had been diagnosed with gout based on identification of monosodium urate crystals in polarised microscopy after arthrocentesis and also satisfied the American College of Rheumatology/EULAR classification criteria.22 Exclusion criteria were unstable medical conditions (eg, ischaemic heart disease, impaired liver function); known stage 3b or higher chronic kidney disease (estimated glomerular filtration (eGFR) rate/creatinine clearance <45 mL/min); recent surgery or gastrointestinal bleed; and age <18 years. Study candidates were identified during an acute clinical gout flare after examination in the department. Persons indicating willingness to participate in the study were contacted by a study nurse from the outpatient clinic for prescreening, received written information, and were scheduled for a baseline rheumatology outpatient visit at Diakonhjemmet Hospital. The sponsor of the study was Diakonhjemmet Hospital.

Treatment strategy

Trained research nurses had at the baseline visit individual consultations with patients comprising:

Information on disease and disease process, diagnosis, causes, recommended treatments, disease control.

Lifestyle advocation on exercise, weight reduction and alcohol consumption.

Discussion of patient expectations, advice when to get help and coping. Further, a brochure addressed advice on diet.

At every visit, drug use was recorded for non-steroidal anti-inflammatory drugs (NSAID), colchicine, prednisolone and for ULT (allopurinol, febuxostat), registering drug dosage, adverse events and symptoms of flares.

All patients not already on ULT started as recommended8 oral allopurinol 100 mg one time a day and escalated in 100 mg increments monthly according to sUA concentrations to a maximum of 900 mg daily. If intolerance for allopurinol, febuxostat was started at 40 mg one time a day and escalated monthly to 80 and 120 mg as needed. Probenecid or lesinurad could be added if necessary, but were not used in any patients. Patients received flare prophylaxis with colchicine 0.5–1 mg daily for 3–6 months. In this treat-to-target approach, ULT was escalated to reach <360 μmol/L (or <300 μmol/L if clinical tophi were present) and the dose was maintained when the target was reached.

Visits

All patients were assessed both by a study nurse and a rheumatologist (HBH, LK) at baseline as well as after 3, 6 and 12 months. Additional fixed visits with only study nurse were at 1, 2 and 9 months, and if necessary monthly, until the treatment target was reached. Telephone contact with review of the sUA results could substitute the face-to-face visits.

Covariates

Demographics and self-reported measures

At baseline, patients reported age, gender, ethnicity, marital status, family history for gout, disease duration, highest level of education, comorbidities and working status. For comorbidities, the Self-Administered Comorbidity Questionnaire was used (range 0–36)23; it includes 12 medical problems, allocating 1 point per problem including presence, receiving treatment and causing a functional limitation.

Alcohol consumption was assessed with the categories ‘Daily’, ‘Weekly’, ‘Monthly’ and ‘Never’, then aggregating the categories to daily/weekly and monthly/never. Daily and previous smoking, consumption of daily glasses with sugar sweetened drinks, and the frequency of physical activity were reported by patients.

At baseline, information on number of flares ever and during the last year (before the recent flare) was collected as well as pain severity during the most recent and the strongest flare (0–10 numerical rating scales), with 0=no pain and 10=unbearable pain.

Questionnaires at visits recorded present joint pain due to gout, general pain, fatigue and patient global assessment of disease activity on 0–10 numerical rating scales.

Physical function was measured with the Health Assessment Questionnaire (HAQ) without adjustment for help or devices.24 Health status was assessed by the Short Form general health questionnaire.25

Self-efficacy with subscales for pain (five items) and symptoms (six items) was measured with the Arthritis Self-Efficacy Scales.26 This instrument measures whether patients have confidence in coping with pain, function and other symptoms due to arthritis (numeric rating scales 10–100, 100=highest).

The Beliefs about Medicines Questionnaire (BMQ)27 explores patients’ beliefs about medicines and includes scales on perceived necessity or concerns for the patient’s own medicines (5 items each, range 5–25), and for perceived general overuse and harm of medicines (4 items each with range 4–16). Items were scored on Likert scale 1–5, 5=highest agreement, and a high scale score reflects stronger belief in the expressed concept.

Clinical assessments

Clinical assessments included weight and height for calculation of body mass index (BMI) and 44-swollen and tender joint counts. Clinical subcutaneous tophi were counted. The largest was defined as index tophus, measured in length and width in millimetres.

Laboratory assessments

Laboratory examinations included sUA (µmol/L), erythrocyte sedimentation rate mm/hour, C reactive protein mg/L, creatinine (µmol/L), eGFR (mL/min/1.73 m2), as well as hematological status at baseline and each follow-up visit.

Outcomes

The primary outcome in this study was the percentage of patients who achieved sUA concentrations<360 μmol/L at 12 months, also for patients with tophi where a more ambitious target <300 μmol/L was applied. Secondary outcomes in the study were baseline factors tested for prediction of the primary outcome at 12 months.

Statistics

Descriptive measures of baseline variables are presented using absolute and relative frequency, mean and SD. Differences between groups were explored by use of independent samples t-test and by the χ² test or Fisher’s exact. OR and their 95% CIs were calculated by logistic regression analyses. Bivariate analyses were performed first. Candidate predictor variables of sUA target attainment were selected from the baseline data, based on their potential clinical relevance. We then included these in multivariable logistic regression analyses adjusting for age, gender, race, education, disease duration, BMI, comorbidities and baseline sUA. In the full model, we also included from bivariate analyses candidate variable if p<0.10 and we stepwise removed other variables not statistically significant. The patients not completing the 12-month assessment followed the same demographic profile as the completers. P<0.05 was defined as statistically significant. We did not adjust for multiple analyses. Calculations were performed with IBM SPSS statistics (V.25).

Results

Patient characteristiscs

Among patients with a recent gout flare, 242 patients were identified and prescreened for inclusion into the study, and 211 met inclusion criteria. Reason for non-inclusion were not meeting the required sUA or eGFR values (n=12), unpractical schedule (n=11), withdrawal of consent (n=7) and failure to meet for the scheduled baseline visit (n=1).

Of 211 patients, 186 (88.2%) completed the visit for the primary sUA endpoint at 12 months. The number of patients meeting for other time points was 202 (month 1), 193 (month 2), 189 (month 3), 176 (month 4), 75 (month 5), 187 (month 6), 55 (month 7), 42 (month 8), 167 (month 9), 60 (month 10), 27 (month 11). Patients not completing the 12-month follow-up had shorter disease duration, were more frequently daily smokers (both p<0.01), less frequently educated at college/university, married/cohabiting, working, physically active and had fewer previous gout flares (all p<0.05).

Patient baseline characteristics are provided in table 1. Females constituted 4.7% of included patients, and in the total cohort 16.6% had a clinical tophus.

Table 1

Baseline characteristics of all patients

	N	% or mean (SD)
Age (years)	211	56.4 (13.7)
Male	201/211	95.3%
Caucasian	183/202	90.6%
Disease duration (years)	204	7.8 (7.6)
College education	118/206	57.3%
Married/cohabiting	155/208	74.5%
Working	133/208	63.9%
Body mass index (kg/m2)	211	28.8 (4.5)
Comorbidities (SCQ sum)	210	3.7 (3.2)
Physical activity >3 times weekly	163/207	30.4%
Smoking, daily	23/208	11.1%
Alcohol consumption	207
Daily	17	8.2%
Weekly	111	53.6%
Monthly	55	26.6%
Never	24	11.6%
Sugar sweetened drinks consumed daily	80/207	38.6%
Tophus present (>1)	35/211	16.6%
No. tophi	211
0	176	83.4%
1–5	30	14.2%
>5	5	2.4%
Allopurinol use ever	31/211	14.7%
NSAID use ever	160/205	78.0%
Colchicine use ever	107/201	53.2%
Prednisolone use ever	91/199	45.7%
Baseline sUA (µmol/L)	211	500 (77)
ESR (mm/hour)	199	14.5 (14.2)
Creatinine (µmol/L)	211	96.3 (18.6)
eGFR (mL/min per 1.73 m2)	210	78 (19)
No. flares before recent one	208
None	16	7.7%
1	25	12.0%
2–5	65	31.3%
>5	102	49.0%
Other flare experienced last 12 months before inclusion?	151/206	73.4%
Strongest joint pain ever (0–10)	208	8.4 (1.6)
Joint pain last flare (0–10)	207	7.5 (5.5)
Swollen joint present	72/209	34.4%
Tender joint present	110/210	52.4%
Health Assessment Questionnaire (0–3)	209	0.38 (0.57)
SF-36 physical component summary (0–100)	204	39.1 (11.1)
SF-36 mental component summary (0–100)	204	50.0 (10.2)
Self-efficacy pain (10–100)	209	65.3 (19.5)
Self-efficacy symptoms (10–100)	205	72.6 (15.1)
Beliefs about Medicines Questionnaire
Necessity subscale (5–25)	198	17.9 (4.4)
Concerns subscale (5–25)	197	13.4 (4.9)
Overuse subscale (4–16)	203	10.6 (2.8)
Harm subscale (4–16)	203	9.4 (2.4)

eGFR, electronic glomerular filtration rate; ESR, erythrocyte sedimentation rate; NSAID, non-steroidal anti-inflammatory drug; SCQ, Self-Administered Comorbidity Questionnaire; SF-36, Short-Form 36.

Primary outcome

From baseline to 12 months, mean (SD) sUA decreased in all patients from 500 (77) to 311 (48) µmol/L (p<0.001), and in patients not reaching the target from 517 (117) to 393 (33) µmol/L (p<0.001, data not shown).

Table 2 gives sUA levels and frequencies for achieving sUA <360 µmol/L during the 12-month period, and separately also for the subgroup of patients with tophi for achieving sUA <300 µmol/L. A total of 85.5% of all patients at the 12-month visit reached the target sUA <360 µmol/L, and 69.3% already after 3 months. The proportions reaching the target did not increase between months 6 and 12. For the subgroup of patients with clinical subcutaneous tophi (n=35), sUA continuously declined and 54.8% met the treatment target <300 µmol/L after 12 months (table 2).

Table 2

Serum urate levels and frequency of target achievement (sUA <360 µmol/L) in patients assessed during time points. In addition, informationfor the subgroup with clinically detectable tophi with sUA target sUA<300µmol/L

Month	0	1	2	3	6	9	12
All patients
sUA µmol/L (mean, SD)	500 (78)	413 (77)	371 (64)	341 (61)	327 (59)	316 (56)	311 (48)
Target <360 achieved (%) N	00/211	21.343/202	48.794/193	69.3131/189	80.7151/187	81.9136/166	85.5159/186
Patients with tophi
sUA µmol/L (mean, SD)	506 (80)	431 (78)	388 (70)	334 (56)	318 (59)	317 (59)	298 (52)
Target <300 achieved (%) N	00/35	2.91/35	12.14/33	25.08/32	38.712/31	46.212/26	54.817/31

Medication and secondary outcomes

All 211 patients initiated or escalated ULT. Only 14.7% of patients had ever used allopurinol and none had used febuxostat, while 78% had experience with NSAID, and about half with colchicine and prednisolone. During the course of the first year, prescription of allopurinol decreased from 95.0% to 87.6%, and increased from 3.5% to 12.4% for febuxostat (table 3). Mean doses for allopurinol remained just below 300 mg and below 60 mg for febuxostat.

Table 3

Prescription of allopurinol and febuxostat during follow-up

	% (n) allopurinol	% (n) febuxostat	Mean mg dose (range) allopurinol users	Mean mg dose (range) febuxostat users	Total prescription urate lowering therapy at follow-up
Before Baseline	14.7 (31/211)	0	109 (100–500)		14.7%
Month 1	95.0 (192/202)	3.5 (7/202)	119 (100–600)	51 (40–80)	98.5%
Month 2	95.3 (184/193)	4.7 (9/193)	190 (50–700)	49 (40–80)	100.0%
Month 3	94.2 (178/189)	5.8 (11/189)	236 (50–700)	54 (40–80)	100.0%
Month 6	90.4 (169/187)	8.6 (16/187)	273 (100–800)	52 (40–120)	99.0%
Month 9	89.2 (149/167)	9.6 (16/167)	280 (100–900)	50 (40–80)	95.8%
Month 12	87.6 (163/186)	12.4 (23/186)	289 (100–900)	59 (40–120)	100.0%

A flare during the study was experienced by 80.6% (150/187). During the 12-month study period, the percentage of patients with at least one swollen joint was reduced from 35.3% (65/184) to 10.8% (20/185)(p<0.001) and with tophi from 16.7% (31/186) to 11.3% (21/186)(p=0.01), and with no statistically significant differences with respect to whether the sUA target was achieved or not. Creatinine and eGFR values remained unchanged, 96 (17) to 98 (19) µmol/L and 78.0 (19) to 79 (19) mL/min/1.73 m2, respectively.

Bivariate analyses examined factors leading to achieving the treatment target <360 µmol/L after 12 months (table 4). Patients achieving the treatment target had less belief that medicines were generally overused compared with those not achieving the target (p=0.04).

Table 4

Participant baseline variables by response status after 12 months

	N	% or mean (SD)	Target achieved (sUA <360 µmol/L)N=159	Target not achieved (sUA >360 µmol/L)N=27	P value
Age (years)	186	56.8 (13.6)	57.4 (13.5)	53.5 (13.4)	0.17
Male	186	95.2%	94.3%	100%	0.21
White	180	90.6%	91.6%	84.6%	0.26
Disease duration (years)	182	8.2 (7.)	8.0 (7.8)	9.4 (8.3)	0.42
Education level college	182	60.4%	61.5%	53.8%	0.46
Married/cohabiting	183	77.0%	77.7%	73.1%	0.60
Working versus not	183	66.7%	66.9%	65.9%	0.52
Body mass index	186	28.9 (4.6)	28.8 (4.6)	29.6 (4.5)	0.41
Comorbidities (SCQ sum)	185	3.8 (3.3)	3.9 (3.3)	3.0 (3.3)	0.18
Physical activity >3 times weekly	182	33.0%	33.8%	28.0%	0.57
Smoking, daily	183	8.2%	7.6%	11.5%	0.93
Alcohol consumption (at least weekly)	182	61.5%	59.0%	76.9%	0.08
Sugar sweetened drinks consumed daily	182	37.9%	38.5%	34.6%	0.71
Tophus present (>1)	186	16.7%	18.2%	7.4%	0.16
Allopurinol ever use	186	14.0%	13.8%	14.8%	0.90
NSAID ever use	180	79.4%	77.9%	88.5%	0.22
Colchicine ever use	177	52.5%	53.0%	50.0%	0.78
Prednisolone ever use	176	49.4%	49.7%	48.0%	0.88
Baseline sUA (µmol/L)	186	498 (80)	495 (72)	517 (117)	0.36
ESR (mm/hour)	176	14 (14)	14 (14)	16 (14)	0.57
Creatinine (µmol/L)	186	96 (18)	96 (17)	98 (18)	0.55
eGFR (mL/min)	185	78 (18)	78 (18)	79 (20)	0.69
No. flares before recent one	187				0.82
0–1	34	18.6%	17.9%	23.0%
2–5	53	29.0%	29.3%	26.0%
>5	96	52.5%	52.9%	50.0%
Other flare last 12 months before inclusion	181	75.1%	74.2%	80.8%	0.79
Strongest joint pain ever (0–10)	183	8.3 (1.6)	8.4 (1.5)	8.1 (2.0)	0.48
Joint pain last flare (0–10)	182	7.1 (2.0)	7.1 (1.9)	7.4 (2.4)	0.40
Swollen joint present	184	35.3%	35.7%	33.3%	0.82
Tender joint present	184	53.3%	53.5%	51.9%	0.87
Health Assessment Questionnaire	184	0.36 (0.57)	0.33 (0.54)	0.56 (0.71)	0.13
SF-36 physical component summary (0–100)	182	38.9 (10.8)	39.2 (10.5)	37.1 (12.4)	0.38
SF-36 mental component summary (0–100)	182	50.4 (10.1)	50.5 (10.5)	50.2 (7.6)	0.89
Self-efficacy pain (10–100)	184	65.3 (19.2)	65.6 (19.1)	63.9 (20.1)	0.68
Self-efficacy symptoms (10–100)	180	72.8 (17.0)	73.7 (16.9)	66.9 (17.2)	0.06
Beliefs about Medicines Questionnaire
Necessity (5–25)	176	17.0 (4.3)	17.0 (4.3)	16.7 (4.5)	0.74
Concern (5–25)	175	13.4 (4.4)	13.4 (4.5)	13.3 (3.7)	0.92
Overuse (4–16)	179	10.6 (2.8)	10.4 (2.7)	11.6 (2.7)	0.04
Harm (4–16)	179	9.4 (2.4)	9.3 (2.5)	10.0 (2.0)	0.18

eGFR, electronic glomerular filtration rate; ESR, erythrotcyte sedimentation rate; NSAID, non-steroidal anti-inflammatory drug; SCQ, Self-Administered Comorbidity Questionnaire; SF-36, Short-form 36.

Variables as predictors for reaching the treatment target

Baseline variables which could predict achieving the treatment target of sUA <360 µmol/L were then analysed in bivariate and multivariable logistic regression analyses and are described in table 5. In the first model, crude baseline values are shown with OR and CIs. Then, adjustments were made for age, gender, ethnicity, education, disease duration, BMI, comorbidities and baseline sUA. The final model is also fully adjusted for these variables.

Table 5

Predictors of baseline variables for reaching the treatment target serum urate (sUA) <360 µmol/L

	Unadjusted OR (95% CI)	Partly adjusted OR (95% CI)*	Fully adjusted model OR (95% CI)†	Fully adjusted modelp value
Age (per 10 years)	1.23 (0.99 to 1.66)	1.06 (0.72 to 1.57)
Disease duration (years)	0.98 (0.93 to 1.03)	0.99 (0.94 to 1.05)
Education college	1.37 (0.60 to 3.16)	1.36 (0.54 to 3.42)
Body mass index	0.96 (0.87 to 1.05)	0.98 (0.89 to 1.09)
Comorbidities (SCQ sum)	1.10 (0.96 to 1.26)	1.09 (0.90 to 1.31)
Alcohol (at least weekly vs less)	0.43 (0.16 to 1.13)	0.24 (0.04 to 0.78)	0.14 (0.04 to 0.55)	0.005
Baseline sUA (µmol/L)	0.997 (0.992 to 1.002)	0.996 (0.991 to 1.001)
Health Assessment Questionnaire	0.56 (0.30 to 1.04)	0.47 (0.20 to 0.99)
Self-efficacy pain subscale (10 units)	1.05 (0.85 to 1.30)	1.13 (0.88 to 1.04)
Self-efficacy symptoms scale (10 units)	1.26 (0.99 to 1.61)	1.38 (1.04 to 1.84)	1.49 (1.09 to 2.05)	0.014
Beliefs about Medicines Questionnaire
Necessity (5–25)	1.02 (0.91 to 1.12)	1.03 (0.91 to 1.16)
Concern (5–25)	1.00 (0.91 to 1.11)	1.03 (0.93 to 1.14)
Overuse (4–16)	0.84 (0.71 to 0.99)	0.83 (0.70 to 0.99)	0.77 (0.62 to 0.94)	0.013
Harm (4–16)	0.88 (0.74 to 1.06)	0.88 (0.72 to 1.07)

*Adjusted for age, gender, race, education, disease duration, body mass index, comorbidities, and baseline sUA and all other variables in logistic regression model.

†Adjusted for age, gender, race, education, disease duration, body mass index, comorbidities and baseline sUA and all other variables remaining in model logistic regression model.

SCQ, self-administered comorbidity questionnaire.

Some factors predicted achieving the sUA target after 12 months in partly adjusted analyses: alcohol consumption at least weekly/daily versus monthly/never, low physical function according to HAQ, self-efficacy for symptoms and a perception of general overuse of medicines (BMQ). In the fully adjusted logistic regression model, three factors statistically significantly predicted achieving the treatment target after 12 months (table 5); higher alcohol consumption at least weekly and belief that medicines were overused reduced the odds for achieving this target, whereas higher self-efficacy for symptoms, as an indicator for coping, increased it.

Neither baseline sUA nor final ULT dose with allopurinol were associated with the treatment target. Also, previous flares, baseline tophi, presence of swollen joints, as well as flares during the study were unrelated to reaching the treatment target. Sensitivity analyses examined also factors which predicted achievement of the most stringent treatment target of sUA <300 µmol/L in 35 patients with tophi. In bivariate analyses, only two variables—daily working and eGFR—were statistically significantly related to this target, but in multivariate analyses none of these or any other variables predicted reaching the target.

Discussion

In this study, we examined how many patients with gout reached the sUA target of <360 µmol/L) after 1 year when they were followed frequently by a nurse and a rheumatologist with information and escalating ULT as needed. This target was reached by 85.5% of patients completing the 12-month follow-up, in almost 70% already after 3 months, and few other patients achieved the treatment target after 6 months. We further identified predictors of reaching the treatment target. More frequent alcohol consumption at least weekly as well as a belief that drugs are overused reduced odds for achieving the target, while coping with arthritis symptoms increased the odds. Identification of all these three factors as predictors for achieving the treatment target are novel findings. Our study is large and with frequent follow-up visits, showing that the promoted urate target is realistic in daily clinical practice if patients are followed by a treat-to-target strategy.

The response rate in a randomised controlled trial from Nottingham, UK, was even higher than in our study with 95% after both 1 and 2 years, when care was provided by a nurse combining ULT and education as compared with primary care.20 A recent study from the Netherlands compared two treatment strategies,28 a more ambitious approach with a target of sUA <300 mol/L as compared with a target <360 µmol/L. During follow-up, an sUA value of <360µml/L was numerically more frequently reached in the more ambitious approach by 83% versus 74%, but differences were not statistically significant.28 In a Mexican study, the target sUA was achieved in only 50%–70% after 3–4 years in spite of regular visits,29 and response rates by 12 months among general practitioners in the UK with sUA <360 µmol/L were 45%.30

Many patients with gout have high alcohol intake,6 31 and alcohol intake is related to the incidence of gout32 and frequency of flares.33 Compared with men who did not drink alcohol, the multivariate relative risk of gout increased dose dependently. We found that patients consuming alcohol at least weekly at baseline had a clearly reduced chance (OR 0.14) to prospectively achieve the treatment target as compared with less frequent or no alcohol consumption. This extends knowledge on the unfavourable effect of alcohol consumption from the risk of gout flares34 to achieving the sUA target.

Beliefs about medicines and patients’ attitudes towards administering medications are generally a good indicator of their intentions to adhere to treatments.35 One cross-sectional study from Hong Kong applied the BMQ in a mix of hospital outpatients including gout,36 and showed that the majority of the participants had strong beliefs that medicines were necessary and beneficial, while a minority had strong beliefs that medicines, in general, were overused, harmful and causing them concern. Our study was the first to longitudinally apply the BMQ with four subscales in gout and found that higher belief in overuse of medication independently impeded achieving the treatment goal, whereas beliefs on necessity, concerns and harm of medication did not. In absence of other reports on the relationship of BMQ with treatment success in gout, we assume that information on dose adjustment in ULT would motivate and convince patients to take their medication and therefore improve adherence to ULT.37 Qualitative research has also shown that trust in doctor and medication effectiveness were identified as the most important factors for adherence,38 indicating that thorough information and personal contact with the health provider could improve medication compliance.

Self-efficacy is related to the belief that one can cope with pain, reduced function or symptoms mediated by the disease. While no study previously assessed self-efficacy26 in gout, one study applied qualitative research and found that a sense of control was described as an important contributor to the overall patient experienced severity of gout.39 These results were supported by a study in diabetes40 where self-efficacy was increased by monitoring self-management patterns and accordingly providing feedback. In our study, information by the nurse as well as information about the decreasing load of crystal depositions during ultrasound assessments41 during the tight frequency of study visits may have contributed to increased self-efficacy and improved adherence.

We found no association between baseline sUA value and meeting the sUA target. An interpretation could be that persistent treatment with frequent adjustment of ULT was continuously applied to all patients when needed, making the initial sUA level less important. Two randomised controlled trials found that baseline sUA was related to the treatment response as measured by sUA.42 43 Further, healthcare access, patient and provider factors as well as presence of comorbidities were recently reported associated to achieving and maintaining the target sUA level.44

Limitations of our study include that patients were entered from only one centre and findings cannot necessarily be extrapolated to other clinical settings. Second, the observational nature and lack of a control group in our study does not allow causal inferences. Further limitations were exclusion of patients with chronic kidney disease stage 3b and higher, and assessment of alcohol consumption by one question only.

Our findings support that existing treatment recommendations with a focus on ULT as well as information leads to achievement of the treatment target in the majority of patient.8–10 In this large prospective follow-up study in clinical practice, we found that patient information with escalating ULT lead to meeting the treatment target in gout in the vast majority of patients (about 85%) at follow-up. This study also provided new knowledge on predictors for the treatment outcome in gout. More frequent alcohol consumption and general beliefs that drugs are overused decreased the change achieving low sUA target values, whereas self-efficacy contributed to a good treatment outcome.

Successful gout management is attainable, and more attention towards addressing these modifiable factors could increase long-term adherence to ULT and health promoting lifestyle. Further research is required to investigate modifiable factors for achieving successful gout outcomes such as target sUA.