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Research ArticleGout

Inpatient Management of Gout: Serum Urate Testing and Allopurinol Dose Adjustment

Kate Alfeld, Murray L. Barclay, Richard McNeill, Chris Frampton, Matt Doogue and Lisa K. Stamp
The Journal of Rheumatology April 2025, 52 (4) 383-388; DOI: https://doi.org/10.3899/jrheum.2024-1075
Kate Alfeld
1K. Alfeld, MBChB, Rheumatology Registrar, Department of Rheumatology, Immunology and Allergy, Te Whatu Ora, Waitaha;
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Murray L. Barclay
2M.L. Barclay, MBChB, Clinical Pharmacologist and Gastroenterologist, R. McNeill, MBChB, M. Doogue, MBChB, Department of Clinical Pharmacology, Te Whatu Ora, Waitaha, and Department of Medicine, University of Otago, Christchurch;
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Richard McNeill
2M.L. Barclay, MBChB, Clinical Pharmacologist and Gastroenterologist, R. McNeill, MBChB, M. Doogue, MBChB, Department of Clinical Pharmacology, Te Whatu Ora, Waitaha, and Department of Medicine, University of Otago, Christchurch;
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Chris Frampton
3C. Frampton, PhD, Department of Medicine, University of Otago Christchurch, Christchurch;
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Matt Doogue
2M.L. Barclay, MBChB, Clinical Pharmacologist and Gastroenterologist, R. McNeill, MBChB, M. Doogue, MBChB, Department of Clinical Pharmacology, Te Whatu Ora, Waitaha, and Department of Medicine, University of Otago, Christchurch;
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Lisa K. Stamp
4L.K. Stamp, MBChB, PhD, Department of Rheumatology, Immunology and Allergy, Te Whatu Ora, Waitaha, and Department of Medicine, University of Otago Christchurch, Christchurch, New Zealand.
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  • For correspondence: Lisa.Stamp{at}cdhb.health.nz
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Abstract

Objective Despite effective treatment, gout is poorly managed. The aim of this study was to determine rates of serum urate (SU) testing and allopurinol dose adjustment in patients admitted to Christchurch-based hospitals who were receiving allopurinol.

Methods The hospital electronic prescribing and administration (ePA) system was used to identify patients receiving allopurinol during hospital admissions from March 2016 to March 2023. Demographics, SU, renal function, and changes to allopurinol therapy were recorded for each admission. Results were stratified by target SU and renal function.

Results Of 18,081 patients who received allopurinol, SU was measured in 2950 (16.32%). The mean SU was 0.37 (SD 0.12) mmol/L, with 1270 (43.05%) above target SU (0.36 mmol/L). Admissions with chronic kidney disease (CKD) stage 3-5 were more likely to have SU above target than those with CKD stage 1-2 (78.84% vs 21.26%; P < 0.001). Among those with SU above target, allopurinol was discontinued in 148 (11.65%) and the dose reduced in 44 (3.46%), increased in 92 (7.24%), and unchanged in 986 (77.63%) during the admission. Those above target SU with CKD stage 3-5 were more likely to stop or decrease allopurinol compared to those with CKD stage 1-2 (16.4% vs 10.4%; P = 0.01).

Conclusion More than 80% of hospital admissions did not have SU measured, despite the patient receiving allopurinol. Most admissions had suboptimal management of the allopurinol dose in the context of their SU. These results reflect a missed opportunity to review and optimize gout management.

Key Indexing Terms:
  • gout
  • management
  • serum urate

Gout is particularly common in Aotearoa New Zealand (NZ), affecting 5.35% of the population.1 The primary biochemical abnormality in gout is elevated serum urate (SU), which results in formation of monosodium urate (MSU) crystals when concentrations are above the point of saturation. Deposition of MSU crystals within and around joints triggers the inflammatory response that typically presents as a gout flare with significant pain, swelling, and impaired function. Hospital admissions for gout have previously been described to account for 0.09% to 0.12% of all acute admissions in Aotearoa NZ.2,3 Flares that occur during admission for other issues are also common, with hospitalization increasing the risk of gout flare 4-fold (odds ratio 4.05, 95% CI 1.78-9.19) compared to patients who are not hospitalized.4

The prevalence of gout in Aotearoa NZ varies significantly between ethnicities, with Māori and Pacific people having much higher rates. In 2019, 13.1% of Māori men, 22.9% of Pacific men, and 7.4% of NZ European men were affected by gout. Similar patterns were present in female populations, with 4.3% of Māori women, 7.0% of Pacific women, and 2.1% of NZ European women affected by gout.5 The onset of gout is much earlier in Māori and Pacific people (39 and 34 years, respectively) compared to NZ Europeans (46 years).6 Further, Māori and Pacific people also experience more severe disease with more frequent gout flares, higher rates of hospitalization, and more tophaceous disease.6

A previous retrospective audit reviewed the inpatient management of gout in a Christchurch public hospital in 2013-2014 and found that there was a failure to initiate or change urate-lowering therapy (ULT) to achieve the target SU < 0.36 mmol/L in patients with gout.2 This was mirrored by a more recent nationwide study, which demonstrated that regular allopurinol dispensing rates were low even after admission with a primary diagnosis of gout.7 These findings are not unique to Aotearoa NZ, with studies from other countries reporting failure to monitor SU and/or escalate allopurinol to achieve target SU, even in a clinical trial setting where allopurinol dose escalation was encouraged.8,9 Therefore, suboptimal control of this common, painful, and treatable condition continues.

Public hospitals in Christchurch have an online treatment guideline resource (Hospital HealthPathways10) that details assessment and management recommendations including gout flare therapy, as well as how and when to initiate and titrate ULT to achieve target SU < 0.36 mmol/L. In addition, it recommends measuring SU every 6-12 months for those who remain stable when receiving ULT, with more frequent assessment if patients are not yet at target.10 Current American College of Rheumatology guidelines, upon which both hospital and community (primary care) HealthPathways are based, strongly recommend initiating ULT and titration to SU < 0.36 mmol/L in the following individuals: those with ≥ 1 subcutaneous tophi, those with radiographic damage attributable to gout, and those with frequent gout flares (> 2 per year).11

Hospital admission is an opportunity to optimize gout management, in particular, allopurinol dose. Thus, the primary aim of this study was to identify any alterations in ULT in individuals receiving allopurinol and admitted to any public hospital in Christchurch. The secondary outcomes were (1) whether SU was measured during admission and (2) the change in allopurinol stratified by those below or above target SU, as well as by renal function, ethnicity, and treating specialty at discharge.

METHODS

Data collection. A bespoke query of data from the ePA (Medchart) and patient management software for inpatients were used to identify patients who received allopurinol at the time of or during each admission to hospitals in the Christchurch area between March 2016 and March 2023. Individuals under the care of urology (due to use of allopurinol for urate stones) and hematology and oncology (given the use of allopurinol in tumor lysis management) teams, as well as those coprescribed thiopurine (as allopurinol is used in inflammatory bowel disease to increase metabolite concentrations), were excluded.

Inpatient demographics, prescribing and laboratory data, and the details of patient admissions are all routinely stored in Christchurch in a local data warehouse. Data for this study were extracted using a dedicated SQL code in Azure Data Studio (version 1.43.0, Microsoft).

For each admission, the following data were retrieved: demographics including age, sex, and ethnicity (ie, NZ European, Māori, Pacific people, Asian, and other); length of stay; specialty at time of discharge, defined as medical (general medicine, older persons’ health, nonweight-bearing/convalescence, cardiology, gastroenterology, neurology, nephrology, respiratory or intensive care), surgical (cardiothoracic, general surgery, gynecology, maxillofacial surgery, neurosurgery, otorhinolaryngology, plastics, spinal or vascular), orthopedics, or other (mental health, allied health, emergency department, substance abuse care, or palliative care); estimated glomerular filtration rate (eGFR) immediately prior to admission (to reflect baseline renal function prior to illness) and immediately prior to discharge; the most recent SU levels measured prior to the first prescription of allopurinol on Medchart; final SU result (if multiple) during admission prior to discharge; and allopurinol dose upon admission and discharge. A manual data quality review was completed on 1/60 of admissions to ensure that the data were accurate, and no significant inaccuracies were identified.

Statistics and analysis. Standard descriptive statistics including frequency and percentages for categorical data, and means, medians, SDs, and ranges for continuous measures were used to summarize the demographic and clinical features for each admission. SU, eGFR, and age were compared between ethnicity, chronic kidney disease (CKD) stage, and allopurinol change groups using 1-way ANOVA. Length of stay was compared between these groups using the Kruskal-Wallis nonparametric ANOVA. A 2-tailed P value < 0.05 was taken to indicate statistical significance.

RESULTS

Demographics, SU, renal function, ethnicity, and specialty. A total of 18,081 admissions to hospital with allopurinol use listed in patients’ electronic medication charts were identified; however, only 2950/18,081 (16.32%) admissions in 2105 individuals had SU measured during the inpatient period and were included in further analysis. Of the 2105 individuals, 1546 (73.44%) were male, 1666 (79.14%) were NZ European, 261 (12.40%) were Māori, 86 (4.09%) Pacific people, 60 (2.85%) Asian, and 32 (1.52%) other ethnicities. All further analyses were completed using admissions rather than individuals as we consider each admission to be an opportunity to review gout management.

Of the 2950 admissions, 1789 (60.64%) were under a medical specialty, including 224 (7.59%) in orthopedic, 873 (29.59%) in surgical, and 64 (2.17%) in other specialties at the time of discharge. Renal function graded by CKD stage was as follows: 215 (7.29%) at stage 1; 928 (31.46%) at stage 2; 1102 (37.36%) at stage 3; 364 (12.34%) at stage 4; and 341 (11.56%) at stage 5. The median length of stay for the 2950 admissions where SU was measured was 7 (IQR 0-17) days, compared to 2 (IQR 1-5) days for the 15,130 admissions where SU was not measured (P ≤ 0.001).

The mean SU for the 2950 admissions was 0.37 (SD 0.12) mmol/L, and 1680 (56.95%) admissions were below the target urate of < 0.36 mmol/L. The mean (SD) SU and percentage of admissions above target SU by CKD stage are shown in Figure 1A. Mean SU in CKD stage 1 was significantly lower than in CKD stage 3, CKD stage 4, and CKD stage 5 (P < 0.001 for all). Likewise, mean SU in CKD stage 2 was lower than in CKD stage 3, CKD stage 4, and CKD stage 5 (P < 0.001 for all). Mean SU in CKD stage 3 was significantly lower than in CKD stage 4 (P < 0.001) and higher than in CKD stage 5 (P = 0.045). The mean (SD) SU and percentage of admissions above target SU by ethnicity and specialty are shown in Figure 1B and Figure 1C, respectively. There was no statistically significant difference in mean SU between ethnicities.

Percentage of admissions above target SU stratified by (A) CKD stage, (B) ethnicity, and (C) specialty (mean [SD] SU above the bar). Changes in allopurinol dose stratified by (D) CKD stage, (E) ethnicity, and (F) specialty. A: Asian; CKD: chronic kidney disease; M: Māori, NZE: New Zealand European; O: other; PP: Pacific people.
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Figure 1.

Percentage of admissions above target SU stratified by (A) CKD stage, (B) ethnicity, and (C) specialty (mean [SD] SU above the bar). Changes in allopurinol dose stratified by (D) CKD stage, (E) ethnicity, and (F) specialty. A: Asian; CKD: chronic kidney disease; M: Māori, NZE: New Zealand European; O: other; PP: Pacific people.

Change in allopurinol during admission. Of the 2950 admissions, allopurinol was discontinued in 263 (8.92%), reduced in 97 (3.29%), and increased in 137 (4.64%). The remaining 2453 (83.15%) admissions did not result in any change to allopurinol therapy. Of the 1270 admissions with SU above target, allopurinol was discontinued 148 (11.65%), reduced in 44 (3.46%), and increased in 92 (7.24%), whereas 986 (77.63%) had no change in allopurinol dose.

The age, eGFR, SU, and length of stay for admissions, according to whether allopurinol was changed or not, are shown in Table 1. Individuals who discontinued allopurinol were significantly older than those who had their dose increased (P < 0.001) or those with no change in allopurinol dose (P < 0.001). Mean eGFR was significantly lower in those who discontinued allopurinol compared to those who had their dose increased (P < 0.005) or those with no change in dose (P < 0.001). SU was significantly higher in admissions who discontinued allopurinol compared to those whose dose was not changed (P < 0.001), and it was significantly lower in those whose dose decreased vs those whose dose increased (P < 0.001). Median length of stay was significantly longer for those who discontinued allopurinol compared to those whose dose increased (P < 0.001), decreased (P = 0.049), or did not change (P < 0.001).

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Table 1.

Characteristics according to whether allopurinol dose was changed or not.

Change in allopurinol stratified by renal function. Within each CKD stage, the majority of admissions were associated with no change in allopurinol dose (Figure 1D). Alteration of allopurinol dose during the admission, stratified by CKD stage and whether SU was above or below target of < 0.36 mmol/L, are shown in Table 2. For those admissions above target SU, CKD stage 4 or stage 5 had the greatest rates of allopurinol being discontinued or decreased (Figure 1D). Those above target SU with CKD stage 3-5 were more likely to stop or decrease allopurinol dose compared to those with CKD stage 1-2 (16.4% vs 10.4%; P = 0.01). For admissions above target SU, there were similar rates of allopurinol dose escalation between CKD stages.

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Table 2.

Allopurinol dose changes stratified by CKD stage and serum urate.

Further analysis was undertaken based on a reduction in eGFR of < 50% or ≥ 50% between the admission and preadmission eGFR to determine whether an acute deterioration in renal function influenced cessation of allopurinol. A total of 2851/2950 (96.64%) admissions had a change in eGFR < 50%. Of these, 2393 (83.94%) had no change in allopurinol dose, 227 (7.96%) discontinued, 95 (3.33%) decreased, and 136 (4.77%) increased allopurinol dose. Of the 65 (2.28%) who had a ≥ 50% reduction in eGFR, 27 (41.5%) had no change in allopurinol dose, 35 (53.8%) discontinued, 2 (3.1%) decreased, and 1 (1.5%) increased allopurinol dose. Significantly more people discontinued allopurinol in the group with a ≥ 50% reduction in eGFR compared to those with < 50% reduction in eGFR (53.8% vs 8%; P < 0.001).

Change in allopurinol stratified by ethnicity. For each recorded ethnicity, the majority of admissions were associated with no change in allopurinol dose (Figure 1E). Alteration of allopurinol dose during admissions, stratified by ethnicity and whether SU was above or below target, are shown in Table 3. For those above target SU, the percentage of admissions in which allopurinol was discontinued or the dose was decreased was not different between ethnicities (Figure 2, Table 3).

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Table 3.

Allopurinol dose changes stratified by ethnicity and serum urate.

Percentage of admissions above target SU, where allopurinol was ceased or the dose was decreased, stratified by (A) CKD stage, (B) ethnicity, and (C) specialty. A: Asian; CKD: chronic kidney disease; M: Māori, Med: medical; NZE: New Zealand European; O: other; Ortho: orthopedic; PP: Pacific people; SU: serum urate; Surg: surgery.
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Figure 2.

Percentage of admissions above target SU, where allopurinol was ceased or the dose was decreased, stratified by (A) CKD stage, (B) ethnicity, and (C) specialty. A: Asian; CKD: chronic kidney disease; M: Māori, Med: medical; NZE: New Zealand European; O: other; Ortho: orthopedic; PP: Pacific people; SU: serum urate; Surg: surgery.

Change in allopurinol stratified by specialty. For each specialty, the majority of admissions were associated with no change in allopurinol dose (Figure 1F, Table 4). For those above target SU, the percentage of admissions in which allopurinol was discontinued or the dose was decreased was not different between specialties (Figure 2).

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Table 4.

Allopurinol dose changes stratified by specialty and serum urate.

DISCUSSION

Despite clear local guidelines, most people receiving allopurinol who are admitted to hospital did not have SU measured during admission. The majority of admissions (83.15%) also did not result in a change in allopurinol therapy. Despite patients being above target SU, we found that allopurinol was discontinued or decreased during admission, especially in those with CKD stages 4 and 5. Given the difficulty of accessing general practitioner appointments, both due to scarce appointment availability and cost, hospital admission is an opportunity to optimize gout therapy—whether or not gout is the primary reason for admission—similar to that undertaken in other chronic diseases such as hypertension or diabetes.

Although we did not collect data on reason for admission, gout flare is not an uncommon reason for admission and there is an increased risk of gout flares during hospital admissions for other medical conditions.4 People who experience a gout flare during a hospital admission are reported to have an increased length of stay. For example, a retrospective review of 77 individuals who developed a gout flare during hospital admission experienced a 6-day increase in length of stay compared to matched controls who had the same principal diagnosis and demographics but without a gout flare (9 days vs 3 days; P < 0.0005).12 Our study also reported that the length of stay was significantly longer in admissions where SU was measured. Thus, it is possible gout was a primary or secondary reason for admissions where SU was measured and, in those admissions where SU was not measured, gout was in an intercritical period. Given the high healthcare costs associated with prolonged admissions for gout flares, the ability to predict whether a gout flare will occur would be of use. Factors reported to help predict gout flares during an admission include preadmission SU > 0.36 mmol/L, tophus, acute kidney injury, surgery, alteration in ULT, and adjustment of diuretics.13

CKD and gout often coexist, and underdosing of allopurinol due to concerns about its use in renal impairment is common. Acute deteriorations in renal function may precipitate cessation or reduction in dose, which may explain why more admissions in our study with CKD stage 4 or 5 discontinued allopurinol or reduced their dose. However, discontinuation of allopurinol may also be associated with increased risk of gout flare. The majority of admissions in our study had eGFR consistent with CKD stages 2 and 3, with comparatively small numbers of those in CKD stages 1, 4 and 5. Those with CKD stage 1-2 had the most patient admissions at target SU, compared to CKD stage 3-5. This likely reflects multiple factors that may include the smaller allopurinol dose adjustment increments during dose titration recommended for reduced renal function; overcautious prescribing in patients with reduced renal function; comorbidity causing reduced attention to gout management in lieu of other illnesses; or disease that is more difficult to treat. Unfortunately, there remain relatively few admissions where allopurinol was increased despite SU being above target.

Cessation of gout flares and resolution of tophi occur with sustained reduction in SU to the target of < 0.36 mmol/L,14 and ULT should generally be continued indefinitely.9 It is unclear why allopurinol was often discontinued despite SU being at target, although there may have been valid reasons for discontinuation that we we cannot confirm.

There are several limitations to this study. First, we cannot be sure that allopurinol was being prescribed for gout. However, we excluded admissions to urology, where allopurinol may be used for urate stones; hematology and oncology, where it may be used for prevention of tumor lysis syndrome; and those coprescribed a thiopurine, wherein allopurinol may be used to increase thiopurine metabolite concentrations. Treatment of asymptomatic hyperuricemia is not recommended in Aotearoa NZ, making it likely that allopurinol was being prescribed for gout. Many admissions were not included in allopurinol dosing analysis as they did not have SU testing completed during the admission period, although it is possible that patients received SU testing prior to admission. However, this highlights a group that is also unlikely to have had their gout management reviewed during admission. A major limitation of the data is that the reason for admission was unknown, so some changes may have been made appropriately in the context of an acute illness, recent titration of dose in the community, palliative care setting, or allergy. Additionally, patients may have discontinued or reduced their allopurinol dose in response to a change in renal function. There are no guidelines on the management of ULT in the setting of significant change in renal function. However, SU increases as renal function declines and, for individuals with gout, discontinuation of ULT may result in a return of this painful condition. Clinicians need to be mindful to reconsider the need for allopurinol and the dosage once any acute illness has settled. Alternatively, if the reason for admission was a gout flare, the recommendation would be to continue ULT, not discontinue allopurinol. Further, SU can fall well into the normal range or below target SU during gout flares, leading to diagnostic uncertainty as well as resulting in a missed opportunity to identify a group of individuals who would benefit from further allopurinol dose titration. Finally, the upper limit of the normal range for SU is 0.42 mmol/L, which is well above our therapeutic target SU for patients with gout. This represents another point in the care pathway where there is a lost opportunity for good management if the SU is not recognized by the healthcare provider who views the result as being above treatment target but within the so-called normal range.

Despite the availability of local management pathways, gout remains suboptimally treated during hospital admissions. Whereas other chronic conditions (eg, hypertension and diabetes) are routinely reviewed during hospital admissions, the same does not appear to be the case for gout. Education to consider gout in the same way as hypertension and diabetes could result in an increase in the frequency of gout management review. The electronic prescribing system does enable prompts to be added to remind doctors to review gout management when prescribing allopurinol. In addition, prompts could be added to admission proformas, which may also help remind doctors to consider completing an SU test and to review a patient’s current gout management.

In conclusion, our study found that in those prescribed allopurinol, SU was measured in only 16% of hospital admissions. When measured, 43% were above target SU and only 7% of these admissions received an increase to their allopurinol dose. This reflects a missed opportunity to review and optimize management of this common, painful, yet treatable condition.

Footnotes

  • CONTRIBUTIONS

    KA: data curation, formal analysis, project administration, writing the original draft, and review and editing. MLB: conceptualization, data curation, methodology, project administration, supervision, and review and editing. RM: conceptualization, data curation, formal analysis, methodology, project administration, and review and editing. CF: conceptualization, formal analysis, methodology, supervision, writing the original draft, and review and editing. MD: conceptualization, data curation, methodology, project administration, supervision, and review and editing. LKS: conceptualization, data curation, formal analysis, methodology, project administration, supervision, writing the original draft, and review and editing.

  • FUNDING

    The authors declare no funding or support for this research.

  • COMPETING INTERESTS

    LKS reports funding from the Health Research Council of New Zealand outside the submitted work and royalties from Up-to-Date. All other authors report no conflicts of interest relevant to this article.

  • ETHICS AND PATIENT CONSENT

    Ethical approval was obtained from University of Otago Human Health Ethics committee (HD23/055). No patient consent was required.

  • Accepted for publication January 2, 2025.
  • Copyright © 2025 by the Journal of Rheumatology

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The Journal of Rheumatology
Vol. 52, Issue 4
1 Apr 2025
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Inpatient Management of Gout: Serum Urate Testing and Allopurinol Dose Adjustment
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Inpatient Management of Gout: Serum Urate Testing and Allopurinol Dose Adjustment
Kate Alfeld, Murray L. Barclay, Richard McNeill, Chris Frampton, Matt Doogue, Lisa K. Stamp
The Journal of Rheumatology Apr 2025, 52 (4) 383-388; DOI: 10.3899/jrheum.2024-1075

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Inpatient Management of Gout: Serum Urate Testing and Allopurinol Dose Adjustment
Kate Alfeld, Murray L. Barclay, Richard McNeill, Chris Frampton, Matt Doogue, Lisa K. Stamp
The Journal of Rheumatology Apr 2025, 52 (4) 383-388; DOI: 10.3899/jrheum.2024-1075
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Keywords

GOUT
MANAGEMENT
SERUM URATE

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