ua_FRS {amscorer}

Updated Alternative Fistula Risk Score (ua-FRS)

Description

Calculates the alternative Fistula Risk Score (FRS) based on gland Texture, pancreatic duct diameter, BMI, and Sex. Objective is to validate and optimize the alternative Fistula Risk Score (ua-FRS) specifically for patients undergoing minimally invasive pancreatoduodenectomy (MIPD) using data from a comprehensive pan-European cohort. Visit https://www.evidencio.com/models/show/1408 for more information.

Usage

ua_FRS(my_data)

Arguments

my_data

A data frame containing the columns Sex (Female = 0, Male = 1), Texture ("soft = 1" or "hard = 0"), PD_size Numeric (Pancreatic duct diameter in millimeters), and BMI Numeric (Body mass index in kg/m²).

Details

This function calculates the risk of Postoperative Pancreatic Fistula (POPF) following pancreatoduodenectomy using the specified parameters:

• Texture : Nature of pancreatic texture (Not soft = 0 or Soft = 1)

• BMI : Body mass index in Kg/m²

• PD_size : Size of the pancreatic duct in mm (truncated to 5)

• Sex : Sex (Female = 0, Male = 1)

Value

A modified data frame with the calculated alternative Fistula Risk Score (FRS) and risk classification of CR-POPF following pancreatoduodenectomy. Returns NA for cases with missing values.

References

Mungroop et al. (2019) doi:10.1097/SLA.0000000000003234.

Examples

my_data <- data.frame(
  ID = 1:4,
  Sex = c(0, 0, 1, 1),
  Texture = c(0, 1, 0, 0),
  BMI = c(22, 25, 30, 20),
  PD_size = c(5, 10, 1, 2)
)
ua_FRS(my_data)