1.
Pineda C, Soto-Fajardo C, Mendoza J, Gutiérrez J, Sandoval H. (2020) Hypouricemia:
what the practicing rheumatologist should know about this condition. Clin Rheumatol
39:135–147. https://doi.org/10.1007/s10067-019-04788-8
2.
Nakayama A, Matsuo H, Ohtahara A, Ogino K, Hakoda M, Hamada T, Hosoyamada M,
Yamaguchi S, Hisatome I, Ichida K, Shinomiya N (2019) Clinical practice guideline for
renal hypouricemia (1st edition). Hum Cell, 1st ed., 32:83–87.
https://doi.org/10.1007/s13577-019-00239-3
3.
Esparza Martín N, García Nieto V (2011) Hypouricemia and tubular transport of uric
acid. Nefrologia 31:44–50. https://doi.org/10.3265/Nefrologia.pre2010.Oct.10588
4.
Son CN, Kim JM, Kim SH, Cho SK, Choi CB, Sung YK, Kim TH, Bae SC, Yoo DH,
Jun JB (2016) Prevalence and possible causes of hypouricemia at a tertiary care hospital.
Korean J Intern Med 31:971–976. https://doi.org/10.3904/kjim.2015.125
5.
Kuwabara M, Niwa K, Ohtahara A, Hamada T, Miyazaki S, Mizuta E, Ogino K,
Hisatome I (2017) Prevalence and complications of hypouricemia in a general
population: A large-scale cross-sectional study in Japan. PLOS ONE 12:e0176055.
https://doi.org/10.1371/journal.pone.0176055
6.
Kawasoe S, Ide K, Usui T, Kubozono T, Yoshifuku S, Miyahara H, Maenohara S, Ohishi
M, Kawakami K (2019) Distribution and characteristics of hypouricemia within the
Japanese general population: A cross-sectional study. Medicina (Kaunas) 55:61.
https://doi.org/10.3390/medicina55030061
7.
Wakasugi M, Kazama JJ, Narita I, Konta T, Fujimoto S, Iseki K, Moriyama T, Yamagata
K, Tsuruya K, Asahi K, Kimura K, Kondo M, Kurahashi I, Ohashi Y, Watanabe T
(2015) Association between hypouricemia and reduced kidney function: a cross-sectional
population-based study in Japan. Am J Nephrol 41:138–146.
https://doi.org/10.1159/000381106
8.
Sugihara S, Hisatome I, Kuwabara M, Niwa K, Maharani N, Kato M, Ogino K, Hamada
T, Ninomiya H, Higashi Y, Ichida K, Yamamoto K (2015) Depletion of uric acid due to
SLC22A12 (URAT1) loss-of-function mutation causes endothelial dysfunction in
hypouricemia. Circ J 79:1125–1132. https://doi.org/10.1253/circj.CJ-14-1267
9.
Khan AA, Quinn TJ, Hewitt J, Fan Y, Dawson J (2016) Serum uric acid level and
association with cognitive impairment and dementia: systematic review and metaanalysis: 16. Age (Dordr) 38:16. https://doi.org/10.1007/s11357-016-9871-8
10.
Tana C, Ticinesi A, Prati B, Nouvenne A, Meschi T (2018) Uric acid and cognitive
function in older individuals. Nutrients 10:975. https://doi.org/10.3390/nu10080975
11.
Nagai K, Tanaka T, Kodaira N, Kimura S, Takahashi Y, Nakayama T (2020) Data
resource profile: JMDC claims databases sourced from Medical Institutions. J Gen Fam
Med 21:211–218. https://doi.org/10.1002/jgf2.367
12.
Koto R, Nakajima A, Horiuchi H, Yamanaka H (2021) Factors associated with achieving
target serum uric acid level and occurrence of gouty arthritis: a retrospective
observational study of Japanese health insurance claims data. Pharmacoepidemiol Drug
Saf 30:157–168. https://doi.org/10.1002/pds.5127
13.
Koto R, Nakajima A, Horiuchi H, Yamanaka H (2021) Serum uric acid control for
prevention of gout flare in patients with asymptomatic hyperuricaemia: a retrospective
cohort study of health insurance claims and medical check-up data in Japan. Ann Rheum
Dis 80:1483–1490. https://doi.org/10.1136/annrheumdis-2021-220439
14.
Seki H, Kaneko H, Morita H, Itoh H, Morita K, Matsuoka S, Kiriyama H, Kamon T,
Fujiu K, Michihata N, Jo T, Takeda N, Yano Y, Nakamura S, Node K, Yasunaga H,
Komuro I (2021) Relation of serum uric acid and cardiovascular events in young adults
aged 20–49 years. Am J Cardiol 152:150–157.
https://doi.org/10.1016/j.amjcard.2021.05.007
10
15.
Seki T, Takeuchi M, Kawakami K (2021) Eating and drinking habits and its association
with obesity in Japanese healthy adults: retrospective longitudinal big data analysis using
a health check-up database. Br J Nutr 126:1585–1591.
https://doi.org/10.1017/S0007114521000179
16.
Ji L, Yoshida S, Kawakami K (2021) Trends and patterns in antibiotic prescribing for
adult outpatients with acute upper respiratory tract infection in Japan, 2008–2018. J
Infect Chemother 27:1584–1590. https://doi.org/10.1016/j.jiac.2021.07.001
17.
Hisatome I, Ichida K, Mineo I, Ohtahara A, Ogino K, Kuwabara M, Ishizaka N, Uchida
S, Kurajoh M, Kohagura K, Sato Y, Taniguchi A, Tsuchihashi T, Terai C, Nakamura T,
Hamaguchi T, Hamada T, Fujimori S, Masuda I, Moriwaki Y, Yamamoto T (2020)
Japanese Society of Gout and Nucleic Acids 2019 guidelines for management of
hyperuricemia and gout 3rd ed. Gout and Uric and Nucleic Acids 44, pp 1–40
18.
Ichida K, Hosoyamada M, Kamatani N, Kamitsuji S, Hisatome I, Shibasaki T, Hosoya T
(2008) Age and origin of the G774A mutation in SLC22A12 causing renal hypouricemia
in Japanese. Clin Genet 74:243–251. https://doi.org/10.1111/j.1399-0004.2008.01021.x
19.
Ames BN, Cathcart R, Schwiers E, Hochstein P (1981) Uric acid provides an antioxidant
defense in humans against oxidant- and radical-caused aging and cancer: a hypothesis.
Proc Natl Acad Sci U S A 78:6858–6862. https://doi.org/10.1073/pnas.78.11.6858
20.
Waring WS, Webb DJ, Maxwell SR (2001) Systemic uric acid administration increases
serum antioxidant capacity in healthy volunteers. J Cardiovasc Pharmacol 38:365–371.
https://doi.org/10.1097/00005344-200109000-00005
21.
Glantzounis GK, Tsimoyiannis EC, Kappas AM, Galaris DA (2005) Uric acid and
oxidative stress. Curr Pharm Des 11:4145–4151.
https://doi.org/10.2174/138161205774913255
11
Figure legends
Fig. 1 Flowchart for participant eligibility
Fig. 2 Age-adjusted prevalence of hypouricaemia from FY2009 to FY2018
Table 1 Characteristics of men in the final analysis population in FY2018
Hypouricaemia
Normouricaemia
Hyperuricaemia
Overall
Total
598
375,944
107,561
484,103
Age, years, mean
45.4
44.8
44.4
44.7
(11.0)
(10.7)
(10.1)
(10.5)
BMI, kg/m , mean
24.1
23.5
25.3
23.9
(SD)
(3.8)
(3.4)
(3.9)
(3.6)
Waist
84.6
83.2
88.0
84.3
(10.1)
(9.4)
(9.9)
(9.7)
(SD)
circumference,
P value
<0.0001
<0.0001
<0.0001
cm, mean (SD)
Smoking
206
34.5
131,217
34.9
37,630
35.0
169,053
34.9
0.8594
Drinking habits
384
64.2
249,405
66.3
79,501
73.9
329,290
68.0
<0.0001
Serum uric acid,
mg/dL,
median
0.7
5.8
7.6
6.1
(0.6, 1.0)
(5.2, 6.4)
(7.3, 8.2)
(5.4, 6.9)
81.1
80.2
75.2
79.1
(16.2)
(14.5)
(14.3)
(14.6)
<0.0001
(IQR)
eGFR,
mL/min/1.73
m2,
<0.0001
mean (SD)
Pre-existing diseases
Renal dysfunction
19
3.2
5,458
1.5
1,834
1.7
7,311
1.5
<0.0001
Hypertension
93
15.6
56,004
14.9
18,123
16.9
74,220
15.3
<0.0001
Diabetes mellitus
57
9.5
34,170
9.1
7,496
7.0
41,723
8.6
<0.0001
Dyslipidaemia
84
14.1
56,898
15.1
15,869
14.8
72,851
15.1
0.0068
Urinary stones
1.0
5,165
1.4
1,558
1.5
6,729
1.4
0.132
Ischaemic heart
18
3.0
9,576
2.6
2,472
2.3
12,066
2.5
<0.0001
Heart failure
14
2.3
7,076
1.9
2,105
2.0
9,195
1.9
0.208
Cerebrovascular
12
2.0
8,155
2.2
2,092
1.9
10,259
2.1
<0.0001
75
12.5
41,721
11.1
11,934
11.1
53,730
11.1
0.5315
1.3
773
0.2
202
0.2
983
0.2
<0.0001
0.0
69
0.0
14
0.0
83
0.0
0.4741
0.0
47
0.0
13
0.0
60
0.0
0.958
1.0
21,537
5.7
7,806
7.3
29,349
6.1
<0.0001
disease
disease
Neurological
disease
Parkinson's
disease
Alzheimer's
disease
Malignant tumour
History of medications
Urate-lowering
therapy
Antihypertensive
86
14.4
51,462
13.7
16,525
15.4
68,073
14.1
<0.0001
ACE inhibitors
1.0
2,529
0.7
769
0.7
3,304
0.7
0.2112
ARB
56
9.4
33,458
8.9
11,342
10.5
44,856
9.3
<0.0001
Diuretic drug
0.5
4,137
1.1
2,013
1.9
6,153
1.3
<0.0001
Antidiabetic drug
34
5.7
19,473
5.2
3,112
2.9
22,619
4.7
<0.0001
Antilipidemic drug
62
10.4
39,934
10.6
9,721
9.0
49,717
10.3
<0.0001
34
5.7
21,542
5.7
13,102
12.2
34,678
7.2
<0.0001
Hypertension
96
16.1
58,389
15.5
25,145
23.4
83,630
17.3
<0.0001
Diabetes mellitus
41
6.9
23,408
6.2
4,600
4.3
28,049
5.8
<0.0001
Dyslipidaemia
243
40.6
152,693
40.6
64,704
60.2
217,640
45.0
<0.0001
drug
Comorbidities
Reduced
kidney
function
SD, standard deviation; BMI, body mass index; IQR, interquartile range; eGFR, estimated
glomerular filtration rate; ACE, angiotensin-converting enzyme; ARB, angiotensin II
receptor blocker
Table 2 Characteristics of women in the final analysis population in FY2018
Hypouricaemia
Total
Normouricaemia
Hyperuricaemia
Overall
1,106
306,950
4,349
312,405
42.7
44.5
48.9
44.6
(9.2)
(10.2)
(10.0)
(10.2)
20.8
21.8
26.5
21.8
(SD)
(3.1)
(3.6)
(5.7)
(3.7)
Waist circumference,
74.7
77.4
89.3
77.6
cm, mean (SD)
(8.6)
(9.6)
(12.9)
(9.7)
Age,
years,
mean
(SD)
BMI,
kg/m ,
mean
P value
<0.0001
<0.0001
<0.0001
Smoking
92
8.3
27,438
8.9
685
15.8
28,215
9.0
<0.0001
Drinking habits
410
37.1
132,562
43.2
2,124
48.8
135,096
43.2
<0.0001
Serum
uric
mg/dL,
acid,
median
1.8
4.4
7.5
4.4
(0.8, 2.0)
(3.8, 5.0)
(7.2, 7.9)
(3.8, 5.1)
90.2
81.6
70.1
81.4
(20.1)
(15.6)
(17.1)
(15.7)
<0.0001
(IQR)
eGFR,
mL/min/1.73
m , mean (SD)
<0.0001
Pre-existing diseases
Renal dysfunction
0.5
2,848
0.9
177
4.1
3,030
1.0
<0.0001
Hypertension
54
4.9
25,273
8.2
1313
30.2
26,640
8.5
<0.0001
Diabetes mellitus
46
4.2
13,695
4.5
581
13.4
14,322
4.6
<0.0001
Dyslipidaemia
80
7.2
32,832
10.7
1107
25.5
34,019
10.9
<0.0001
Urinary stones
0.6
1,612
0.5
56
1.3
1675
0.5
<0.0001
10
0.9
3,782
1.2
148
3.4
3,940
1.3
<0.0001
Heart failure
12
1.1
3,086
1.0
187
4.3
3,285
1.1
<0.0001
Cerebrovascular
0.7
4,833
1.6
177
4.1
5,018
1.6
<0.0001
Neurological disease
147
13.3
38,837
12.7
880
20.2
39,864
12.8
<0.0001
Parkinson's disease
0.5
799
0.3
36
0.8
841
0.3
<0.0001
Alzheimer's disease
0.0
51
0.0
0.1
54
0.0
0.0303
Malignant tumour
0.1
371
0.1
0.1
378
0.1
0.9096
0.1
615
0.2
133
3.1
749
0.2
<0.0001
Antihypertensive drug
53
4.8
23,542
7.7
1,266
29.1
24,861
8.0
<0.0001
ACE inhibitors
0.0
682
0.2
50
1.2
732
0.2
<0.0001
ARB
27
2.4
12,335
4.0
860
19.8
13,222
4.2
<0.0001
Diuretic drug
0.7
2,910
1.0
249
5.7
3,167
1.0
<0.0001
Antidiabetic drug
24
2.2
5,008
1.6
227
5.2
5,259
1.7
<0.0001
Antilipidemic drug
54
4.9
22,353
7.3
759
17.5
23,166
7.4
<0.0001
21
1.9
16,591
5.4
1142
26.3
17,754
5.7
<0.0001
Hypertension
61
5.5
25,941
8.5
1115
25.6
27,117
8.7
<0.0001
Diabetes mellitus
25
2.3
6,275
2.0
383
8.8
6,683
2.1
<0.0001
Dyslipidaemia
204
18.4
81,502
26.6
2604
59.9
84,310
27.0
<0.0001
Ischaemic
heart
disease
disease
History of medications
Urate-lowering
therapy
Comorbidities
Reduced
kidney
function
SD, standard deviation; BMI, body mass index; IQR, interquartile range; eGFR, estimated
glomerular filtration rate; ACE, angiotensin-converting enzyme; ARB, angiotensin II
receptor blocker
...