Su et al reported a nomogram for predicting post-stroke fatigue after hospital discharge. This can help to identify a patient who may benefit from more aggressive management. The authors are from Hokkaido University in Japan.
Patient selection: hospitalized patient with stroke
Parameters:
(1) gender
(2) prestroke sarcopenia
(3) fatigue (during acute phase post-stroke, prior to discharge; the authors also measured prestroke fatigue)
(4) dysphagia
(5) depression
Parameter
Finding
Points
gender
male
0
female
34.4
prestroke sarcopenia
no
0
yes
100
fatigue
no
0
yes
90.7
dysphagia
no
0
yes
16.2
depression
no
0
yes
57.3
total score =
= SUM(points for all of the parameters)
Interpretation:
• minimum score: 0
• maximum score: 298.6
value of X =
= (0.01956 * (score)) - 2.194
probability of post-stroke fatigue after discharge =
= 1 / (1 + EXP((-1) * X))
Performance:
• The area under the ROC curve is 0.76.
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