POEMS syndrome (polyneuropathy, organomegaly, endocrinopathy, monoclonal 
gammopathy and skin changes) is a multisystem disorder with a good long-term 
prognosis. In its dozens of clinical features, those with independent prognostic 
value are still not well characterized. We retrospectively included 362 patients 
with newly diagnosed POEMS syndrome at our institute from 2000 to 2015. On the 
basis of a randomized sample splitting, we first identified four baseline 
clinical variables, including age >50 years (hazards ratio (HR) 4.07, 95% 
confidence interval (CI) 1.41-11.76, P=0.009), pulmonary hypertension (HR 3.99, 
95% CI 1.44-11.04, P=0.008), pleural effusion (HR 3.81, 95% CI 1.23-11.79, 
P=0.02) and estimated glomerular filtration rate <30 ml/min/1.73 m2 (HR 8.25, 
95% CI 2.18-31.25, P=0.002), associated with inferior overall survival in the 
derivation cohort, with the use of multivariate Cox regression model. These 
factors were incorporated together to develop a prognostic nomogram. Concordance 
index calculation (0.727, 95% CI 0.601-0.853, P=0.018) and calibration curve 
plotting demonstrated its significant predictive and discriminatory capacity in 
the validation cohort. This nomogram could be a useful and convenient tool in 
clinical practice to evaluate individualized prognosis in patients with newly 
diagnosed POEMS syndrome.