cliot (version 1.0.0)

ipi_score_dlbcl: International Prognostic Index (IPI) for Diffuse Large B-Cell Lymphoma

Description

Calculates the IPI Score to predict prognosis in patients with Diffuse Large B-Cell Lymphoma (DLBCL). The score provides risk stratification based on the standard IPI model (pre-Rituximab era) and the Revised-IPI (R-IPI) model (Rituximab era). It uses five clinical factors: Age, Ann Arbor Stage, Serum LDH, ECOG Performance Status, and Number of Extranodal Sites.

Usage

ipi_score_dlbcl(age, stage, ldh_ratio, performance_status, extranodal_sites)

Value

A list containing:

IPI_Score

The calculated total score (Range 0-5).

Standard_IPI_Classification

Risk group and survival estimate based on the original IPI study.

Revised_IPI_Classification

Risk group and survival estimate based on the R-IPI study (Rituximab-treated patients).

Arguments

age

Numeric. Patient age in years. (>60 adds 1 point).

stage

Numeric. Ann Arbor Stage (1-4). (Stage III or IV adds 1 point).

ldh_ratio

Numeric. Ratio of patient's LDH to the upper limit of normal (ULN). (>1.0 adds 1 point).

performance_status

Numeric. ECOG Performance Status (0-4). (>=2 adds 1 point).

extranodal_sites

Numeric. Number of extranodal sites involved. (>1 adds 1 point).

References

The International Non-Hodgkin's Lymphoma Prognostic Factors Project. A predictive model for aggressive non-Hodgkin's lymphoma. N Engl J Med. 1993;329(14):987-994. doi:10.1056/NEJM199309303291402 Sehn LH, Berry B, Chhanabhai M, et al. The revised International Prognostic Index (R-IPI) is a better predictor of outcome than the standard IPI for patients with diffuse large B-cell lymphoma treated with R-CHOP. Blood. 2007;109(5):1857-1861. doi:10.1182/blood-2006-08-038257

Examples

# Example 1: High Risk (Standard) / Poor Risk (R-IPI)
# Age 70 (+1), Stage IV (+1), LDH 2x (+1), ECOG 1 (0), 2 Extranodal (+1)
# Score = 4
ipi_score_dlbcl(70, 4, 2.0, 1, 2)

# Example 2: Low Risk (Standard) / Very Good Risk (R-IPI)
# Age 50 (0), Stage II (0), LDH 0.8 (0), ECOG 0 (0), 0 Extranodal (0)
# Score = 0
ipi_score_dlbcl(50, 2, 0.8, 0, 0)