Plasmic Score for TTP

Predicts ADAMTS13 deficiency in suspected thrombotic thrombocytopenic purpura (TTP) with high discrimination.

The global unit selector only affects unanswered questions
1.Platelet count < 30 x 10⁹/L?
2.Hemolysis?
3.Active cancer (or treated for active cancer in last year)?
4.History of solid organ or stem-cell transplant?
5.MCV < 90 fL (9.0 x 10⁻¹⁴/L)?
6.INR < 1.5?
7.Creatinine < 2.0 mg/dL / 176.8 umol/L?
Created by

1. Platelet count < 30 x 10⁹/L?

Created by
0/7 completed

About this Calculator

The PLASMIC Score was derived by Bendapudi et al and externally validated in a study with an independent cohort of 112 consecutive hospitalized patients with suspected thrombotic microangiopathy and appropriate ADAMTS-13 testing (including 21 patients with TTP diagnosis). The PLASMIC model predicted severe ADAMTS-13 deficiency with a c statistic of 0.94 (0.88-0.98). When dichotomized at high (scores 6-7) vs. low-intermediate risk (scores 0-5), the model predicted severe ADAMTS-13 deficiency with positive predictive value 72%, negative predictive value 98%, sensitivity 90% and specificity 92%.

In the low-intermediate risk group (scores 0-5), there was no significant improvement in overall survival associated with plasma exchange. The PLASMIC Score had excellent applicability, discrimination and calibration for predicting severe ADAMTS-13 deficiency. The clinical algorithm allowed identification of a subgroup of patients who lacked a significant response to empiric treatment.

References

Li A, Khalighi PR, Wu Q, Garcia DA.

External validation of the PLASMIC score: a clinical prediction tool for thrombotic thrombocytopenic purpura diagnosis and treatment.

Journal of Thrombosis and Haemostasis: JTH 2018, 16 (1): 164-169.

Contributed By:
  • Matthew Federbush, MD
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