Luo et al reported a nomogram for predicting the risk of suicide ideation in a cancer patient. This can help to identify a patient who may benefit from a mental health intervention. The authors are from Southern Medical University in Guangzhou, China.
Patient selection: cancer patient
Parameters:
(1) living condition
(2) residence
(3) demoralization
(4) marital status
(5) cancer staging
(6) medical financial burden
(7) depression
Parameter
Finding
Points
living condition
lives alone
67.6
lives with someone
0
residence
urban
0
rural
81.6
demoralization
low
0
moderate
32.8
high
89
marital status
married
0
spinster/unmarried
77.2
divorced or widowed
92.5
cancer staging
I
0
II
36.4
III
84.8
IV
98.1
financial burden
not at all
0
a little
15.5
some
37.8
very much
99.2
depression
no
0
mild
72
moderate
84.2
severe
100
total score =
= SUM(points for all of the parameters)
Interpretation:
• minimum score: 0
• maximum score: 628
value of X =
= (0.01694 * (score)) - 5.682
probability of suicide ideation =
= 1 / (1 + EXP((-1) * X))
Performance:
• The area under the ROC curve is 0.86 in the training and 0.82 in the validation cohorts.
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