cliot (version 1.0.0)

plasmic_score_ttp: PLASMIC Score for TTP

Description

Calculates the PLASMIC score to predict the likelihood of severe ADAMTS13 deficiency (<10%) in patients with suspected Thrombotic Thrombocytopenic Purpura (TTP). The score is based on 7 clinical and laboratory parameters.

Usage

plasmic_score_ttp(platelet_count, hemolysis_evidence, active_cancer,
                  stem_cell_or_organ_transplant, mcv_lt_90, inr_lt_1_5,
                  creatinine_lt_2_0)

Value

A list containing:

PLASMIC_Score

The calculated total score (Range 0-7).

Risk_Category

Risk classification (Low, Intermediate, High).

TTP_Probability

Estimated probability of severe ADAMTS13 deficiency.

Arguments

platelet_count

Numeric. Platelet count in x10^9/L (or x10^3/uL). (<30 adds 1 point).

hemolysis_evidence

Numeric (0 or 1). Evidence of hemolysis (e.g., reticulocyte count >2.5%, undetectable haptoglobin, or indirect bilirubin >2 mg/dL). (1 = Yes, adds 1 point).

active_cancer

Numeric (0 or 1). Active cancer (treated within the last year). (0 = No, adds 1 point).

stem_cell_or_organ_transplant

Numeric (0 or 1). History of solid organ or hematopoietic stem cell transplant. (0 = No, adds 1 point).

mcv_lt_90

Numeric (0 or 1). Mean Corpuscular Volume (MCV) < 90 fL. (1 = Yes, adds 1 point).

inr_lt_1_5

Numeric (0 or 1). International Normalized Ratio (INR) < 1.5. (1 = Yes, adds 1 point).

creatinine_lt_2_0

Numeric (0 or 1). Serum Creatinine < 2.0 mg/dL. (1 = Yes, adds 1 point).

References

Bendapudi PK, Hurwitz S, Fry A, et al. Derivation and external validation of the PLASMIC score for rapid assessment of thrombotic microangiopathy: A cohort study. Lancet Haematol. 2017;4(4):e157-e164. doi:10.1016/S2352-3026(17)30026-1

Examples

# Example 1: High Risk
# Plt 20 (<30, +1), Hemolysis (+1), No cancer (+1),
#No transplant (+1), MCV 85 (+1), INR 1.2 (+1), Cr 1.0 (+1)
# Score = 7
plasmic_score_ttp(20, 1, 0, 0, 1, 1, 1)

# Example 2: Low Risk
# Plt 100 (0), Hemolysis (+1), Active cancer (0),
#Transplant (0), MCV 95 (0), INR 1.8 (0), Cr 3.0 (0)
# Score = 1
plasmic_score_ttp(100, 1, 1, 1, 0, 0, 0)