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. Author manuscript; available in PMC: 2016 Jan 16.
Published in final edited form as: Br J Haematol. 2015 Apr 20;171(5):872–875. doi: 10.1111/bjh.13433

Gout and sickle cell disease: not all pain is sickle cell pain

Sarthak Gupta 1, Jennifer C Yui 2,*, Dihua Xu 2, Courtney D Fitzhugh 2, Caroline Clark 2, Salahuddin Siddiqui 2,, Anna K Conrey 2, Gregory J Kato 3, Caterina P Minniti 2,
PMCID: PMC4699866  NIHMSID: NIHMS748494  PMID: 25892648

Painful vaso-occlusive crises (VOC) are the hallmark of Sickle Cell Disease (SCD) and the most frequent reason for hospitalization. Aetiology and precipitating factors are complex and not completely elucidated. Gout is an inflammatory arthritis characterized by hyperuricaemia and deposition of monosodium urate crystals in articular or periarticular tissues (Rees et al, 2014), with a prevalence of 2·5–3·9% [males (4–6%) >> females (1–2%)] that increases with age (Zhu et al, 2011; Kuo et al, 2014). Hyperuricaemia is present in SCD (Gold et al, 1968), due to increased production of uric acid from ineffective erythropoiesis and decreased clearance (Ball & Sorensen, 1970; Diamond et al, 1979) from renal damage. There are case reports of gout in SCD, (Aquilina et al, 1958; Reynolds, 1983) but no larger-scale studies. We reviewed 13 consecutive cases of gout and SCD in order to identify predictors of gout and differentiate between VOCs and gout flares.

Electronic medical records of 90 adults with SCD who were enrolled in a Natural History protocol at the Clinical Center of National Institutes of Health from January 2006 to June 2014, (Clinicaltrials.gov identifier NCT00081523), were reviewed. Patients provided informed consent. We determined the date of onset of each patient’s most recent gout flare. For patients that were hospitalized with VOC during this time frame, details of inpatient clinical course were reviewed. The most recent gout and/or VOC event and the preceding year were analysed. Diagnosis of gout was made by a rheumatologist based on polarized light microscopy for urate crystals from joint aspirate or clinically, if the patient met ≥6 measures as per the 1977 American College of Rheumatology criteria (Wallace et al, 1977). Laboratory values over the one-year period before gout flare or VOC were sorted into three groups based on the clinical status of the patient: ‘gout flare’ includes values collected the first day of hospitalization for acute gout flare; ‘VOC’ refers to the first day of hospitalization for vaso-occlusive crisis; ‘Steady state’ is the mean values from three routine outpatient encounters. Values were compared using t test with R version 3.0.3 (http://cran.r-project.org/bin/windows/base/old/3.0.3/), and calculated p values with adjustment for age. Statistical significance was a two-sided P < 0·05.

Thirteen patients had a diagnosis of acute gout flare during a hospitalization or had a history of gout. All were African-American, 12 had HbSS and 1 HbSC. Three patients had urate crystals in joint fluid aspirate, five had a history of gout from previous hospitalizations or primary care visits and joint aspiration was not performed. Four additional patients had insufficient amount of aspirate for crystal identification and one patient refused the procedure. Articulations mostly affected were: First metatarso-pharyngeal (podagra) > ankle> elbow >wrist. Mean age of first onset of gout: 40 years (range 23–77; males: 36; females 45). 46% were women, median body mas index: 23·4 (19·2–36·1). Baseline demographic characteristics of SCD patients with and without gout were similar, whereas laboratory values differed (Table I). Ten (77%) SCD patients with gout were on hydroxycarbamide therapy compared to 52 (67·5%) of non-gout. One patient each had hyperlipidaemia, diabetes or a positive family history of gout. Patients had no significant alcohol intake (73% abstainees). Among other risk factors for gout, 61·5% of patients with gout had hypertension, compared to 39% without gout (P = 0·143). No patients had preceding trauma or surgery to the affected joints. Table II provides details of the 13 patients with SCD and gout.

Table I.

Clinical and laboratory characteristics of SCD patients comparing patients with gout and without gout.

All Gout (N = 13) Non-Gout (N = 77) P-value
Age, years; mean (range) 42·7 ± 13·1 (22–82) 48 ± 14·4 (30–81) 41·8 ± 12·7 (22–82) 0·16
Female Sex, N (%) 52 (57·8%) 6 (46·2%) 46 (59·7%) 0·38
African-American, N (%) 87 (96·7%) 13 (100%) 74 (96·1%) >0·99
SC Genotype, N (%) 7 (7·8%) 1 (7·7%) 6 (7·8%) >0·99
Number of VOCs, mean ± SD (range) 1·4 ± 1·6 (0–7) 0·9 ± 1·3 (0–4) 1·5 ± 1·6 (0–7) 0·17
Hydroxycarbamide, N (%) 62 (68·9%) 10 (76·9%) 52 (67·5%) 0·75
Diabetes, N (%) 4 (4·4%) 1 (7·7%) 3 (3·9%) 0·47
Hypertension, N (%) 38 (42·2%) 8 (61·5%) 30 (39%) 0·14
Body mass index, median ± SD (range) 25 ± 5·7 (16–43·6) 23·4 ± 4·9 (19·2–36·1) 25 ± 5·9 (16–43·6) 0·98
Gout (N = 13) Non-Gout (N = 77) P-value P-value*
Uric acid, µmol/l, mean ± SD (range)
  Steady state 795·6 ± 185·6 (477·4–1149·2) 512·7 ± 176·8 (159·1–981·2) <0·001 <0·001
  VOC 786·7 ± 194·5 (539·2–1016·6) 442·0 ± 159·1 (132·6–848·6) 0·001 <0·001
  Gout flare 689·5 ± 238·7 (397·8–1131·5)
White blood cell count, × 109/l, mean ± SD (range)
  Steady state 8·8 ± 3·9 (4·1–17·6) 7·7 ± 2·9 (3·1–17·7) 0·337 0·078
  VOC 11·2 ± 8·4 (2·4–29·1) 11·1 ± 4·7 (3·6–26·8) 0·973 0·718
  Gout flare 7·3 ± 4·1 (0·6–16·4)
Haemoglobin, g/l, mean ± SD (range)
  Steady state 78 ± 9 (61–90) 88 ± 15 (58–123) 0·002 0·024
  VOC 80 ± 12 (61–93) 92 ± 44 (55–396) 0·111 0·335
  Gout flare 80 ± 14 (57–98)
Platelet count, × 109/l, mean ± SD (range)
  Steady state 317·9 ± 129 (171·5–499·8 313·4 ± 103·5 (49–542) 0·908 0·571
  VOC 287·2 ± 135·1 (108·6–444·2 318 ± 112·8 (63–572) 0·554 0·72
  Gout flare 279·5 ± 154·7 (58
LDH, u/l, mean ± SD (range)
  Steady state 571·6 ± 470·8 (188·8–1609) 423·2 ± 183·2 (143·5–1209) 0·283 0·043
  VOC 532·2 ± 361·6 (269–1286) 527·4 ± 216·5 (232–1268) 0·974 0·984
  Gout flare 487·1 ± 360·3 (204–1449)
Creatinine, µmol/l, mean ± SD (range)
  Steady state 185·6 ± 150·3 (53·0–565·8) 70·7 ± 35·4 (35·4–194·5) 0·047 <0·001
  VOC 247·5 ± 203·3 (88·4–574·6) 61·9 ± 26·5 (26·5–185·6) 0·073 <0·001
  Gout flare 203·3 ± 229·8 (53·0–813·3)
Total bilirubin, µmol/l, mean ± SD (range)
  Steady state 123·8 ± 53·0 (35·4–229·8) 185·6 ± 106·1 (17·7–477·4) 0·003 0·141
  VOC 114·9 ± 70·7 (26·5–256·4) 229·8 ± 123·8 (35·4–548·1) 0·001 0·019
  Gout Flare 97·2 ± 53·0 (17·7–194·5)
Reticulocyte Absolute, × 109/l, mean ± SD (range)
  Steady state 175·6 ± 134·6 (53–503·9) 220·5 ± 109·6 (27·7–515·6) 0·272 0·441
  VOC 165·4 ± 166·6 (7·3–443·7) 237·2 ± 115·3 (0·9–545·1) 0·273 0·21
  Gout flare 112·6 ± 85·5 (4·2–318·1)

VOC, vaso-occlusive crisis; LDH, lactate dehydrogenase; SD, standard deviation.

*

Adjusted for age.

Table II.

Details of individual SCD patients with gout.

Age at
onset (years)
Sex SC/SS Hydroxycarbamide HTN BMI Fam Hx Joints involved Serum UA
(µmol/l)
UA crystals
in joint
1 56 M SS No No 36·1 No R ankle 406·6–998·9 IA
2 24 M SS Yes Yes 20·3 No L 1st MTP 671·8–813·3 Yes
3 51 F SS Yes Yes 31 Yes L ankle 786·8–972·4 ND
4 47 F SS Yes Yes 25·9 No R 3rd MTP 831·0–919·4 ND
5 31 F SS Yes No 25·1 No R ankle, R and L 1st MTP 875·2–1034·3 IA
6 49 M SS Yes Yes 23·4 No L 1st MTP 583·4–663·0 Refused
7 27 M SS No Yes 22·2 No R wrist, R 3rd PIP 1131·5–1149·2 Yes
8 77 F SC Yes Yes 30·2 No R 1st MTP, L 1st MTP 477·4–742·6 ND
9 30 M SS Yes No 20·2 No R wrist 610·0–689·5 IA
10 23 F SS Yes No 25·5 No R 1st MTP, R ankle 397·8–477·4 ND
11 24 M SS No Yes 23·2 No R elbow, R 3rd PIP and DIP, R 4th MCP 530·4-663·0 Yes
12 40 F SS Yes Yes 19·2 No R 1st MTP 468·5–645·3 ND
13 40 M SS Yes No 22·5 No R Knee 857·5–1016·6 IA

M, male; F, female; DM, diabetes; HTN, hypertension; BMI, body mass index; Fam Hx, family history; R, right; L, left; MTP, metatarsophalangeal joint; MCP, metacarpophalangeal joint; PIP, proximal interphalangeal joint; DIP, distal interphalangeal joint; ND, not done; IA, insufficient amount of aspirate for crystal analysis; UA, uric acid.

At steady state, sickle cell patients with gout had higher creatinine (P = <0·001) and serum uric acid (P = <0·001) than patients without gout. Haemoglobin was lower (P = 0·024), while total bilirubin and reticulocyte count were not (P = 0·141 and 0·441), suggesting decreased red cell production, possibly because of renal insufficiency. The higher serum lactate dehydrogenase (LDH) in patients with gout (P = 0·043) could be attributed to renal insufficiency, end organ damage and/or haemolysis, indicating complexity of the gout phenotype. In those patients that experienced both VOC and gout, we compared the laboratory values obtained at the onset of these episodes to each other and to the VOCs that occurred in the 77 patients without gout. Uric acid and serum creatinine did not change significantly whether patients were experiencing a gout exacerbation or VOC, and were significantly higher during either type of painful crisis in gout patients than in patients without gout (P < 0·001 for both). White blood cell count (WBC) and LDH were higher during VOC crisis than gout flares, but did not reach statistical significance, probably because of small sample size. All patients received parenteral opioids for pain, and oral colchicine was added after gout was diagnosed: Seven (~50%) responded well; two received oral prednisone, which led to severe VOC within 24 h; two received intra-articular methylprednisolone without complications. Two additional patients continued to have refractory gout on colchicine and received subcutaneous anakinra (an interleukin-1 inhibitor) for three days with improvement. Patients switched to allopurinol (100 mg to 300 mg/day) for maintenance therapy. One patient with poor renal function (glomerular filtration rate: ~60 ml/min) continued to have gout flares and received febuxostat (a non-purine xanthine oxidase inhibitor), with improvement.

This retrospective review found an earlier presentation (~40 years) and a higher incidence of gout in patients with SCD, compared to the general population (18% vs. 4%), without male predominance. Sickle cell disease patients with gout had few classical risk factors for gout. Our data suggests that patients with HbSS phenotype, high uric acid, low haemoglobin and poor renal function are at high risk for gout and should elicit suspicion when presenting with acute monoarticular joint pain, especially if they don’t respond to their usual regimen. A rheumatology consultation should be requested. In the typically milder HbSC phenotype, gout onset was delayed until 77 years of age, similar to the occurrence in the general population. Acute pain episodes complicated by gout can be differentiated from uncomplicated VOC on the basis of the lack of the increase in WBC and LDH (Buchanan & Glader, 1978), while uric acid does not change significantly from steady state in either a gouty flare or a VOC, and remains elevated in patients with gout (Table II).

Therapy of acute gout consists of non-steroidal anti-inflammatory drugs (NSAIDs) or cyclooxygenase-2 inhibitors, colchicine and/or corticosteroids. In SCD we use NSAIDs cautiously due to potential for nephrotoxicity, and avoid systemic corticosteroids because of the risk of severe vaso-occlusive crises, while allowing intra-articular steroids. Our data supports the use of colchicine, as well as febuxostat and anakinra. Limitations of our study are its retrospective nature and that the diagnosis of gout was often clinical, with the possibility of underrepresenting clinical events.

Acknowledgements

This work was supported (in part) by the Intramural Research Program of National Heart, Lung and Blood Institute and National Institute of Arthritis and Musculoskeletal and Skin Diseases at the National Institutes of Health, Bethesda, MD.

Footnotes

Author contributions

SG collected and analysed the data, cared for patients and wrote the manuscript; JY collected and analysed the data and wrote the manuscript; DX interpreted the data and collaborated to writing the manuscripts; CF collaborated in interpreting the data; CC collected and analysed the data; SS collected and analysed the data; AC collected data and cared for the patients; GJK interpreted the data and wrote the manuscript; CPM designed the study, interpreted the data and wrote the manuscript.

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