Jatuworapruk et al reported a model for predicting a flare of gout in an inpatient. The authors are from the University of Otago (New Zealand), Thammasat University (Thailand) and the University of Auckland.
Patient selection: hospital inpatient with a history of gout
Outcome: inpatient flare
Parameters:
(1) pre-admission urate-lowering agent
(2) adjustment of urate-lowering agent during admission and prior to flare
(3) adjustment of diuretics during admission and prior to flare
(4) pre-admission serum urate in mmol/L
(5) tophus
(6) pre-admission gout prophylaxis
(7) gout prophylaxis started or increased during admission and prior to flare
(8) acute kidney injury
Parameter |
Finding |
beta coefficient |
preadmission urate lowering agent |
no |
1.318 |
|
yes |
0 |
adjustment of urate lowering agent during admission |
no |
0 |
|
yes |
0.989 |
adjustment to diuretics during admission |
no |
0 |
|
yes |
0.952 |
pre-admission serum urate |
<= 0.36 mmol/L |
0 |
|
> 0.36 mmol/L |
1.079 |
tophus |
absent |
0 |
|
present |
1.301 |
pre-admission gout prophylaxis |
no |
1.898 |
|
yes |
0 |
gout prophylaxis started or increased during admission |
no |
0 |
|
yes |
2.540 |
acute kidney injury |
no |
0 |
|
yes |
0.752 |
X =
= SUM(beta-coefficients) - 5.393
probability of flare =
= 1 / (1 + EXP((-1) * X))
Performance:
• The area under the ROC curve is 0.80.
Specialty: Surgery, orthopedic, Surgery, general