Calculate Clinical Scores for Hidradenitis Suppurativa (HS), a Dermatologic Disease

Calculate clinical scores for hidradenitis suppurativa (HS), a dermatologic disease. The scores are typically used for evaluation of efficacy in clinical trials. The scores are not commonly used in clinical practice. The specific scores implemented are Hidradenitis Suppurativa Clinical Response (HiSCR) (Kimball, et al. (2015) ), Hidradenitis Suppurativa Area and Severity Index Revised (HASI-R) (Goldfarb, et al. (2020) ), hidradenitis suppurativa Physician Global Assessment (HS PGA) (Marzano, et al. (2020) ), and the International Hidradenitis Suppurativa Severity Score System (IHS4) (Zouboulis, et al. (2017) ).

hidradenitis

The goal of the hidradenitis package is to support use and interpretation of clinical scores for hidradenitis suppurativa.

Installation

Stable version

You can install the stable version of hidradenitis from CRAN with:

install.packages("devtools")

Development version

You can install the development version of hidradenitis from GitHub with:

# install.packages("devtools")
devtools::install_github("humanpred/hidradenitis")

Example

This is a basic example which shows you how to solve a common problem:

library(hidradenitis)

hasi_r_num(
  bsa_percent_within_site = c(0, 0, 0, 0, 5, 1, 4.3, 1.2, 6.8, 7.2),
  bodysite =
    c("Right Axilla", "Buttocks including Intergluteal Cleft",
      "Back", "Left Thigh", "Head & Neck", "Left Axilla",
      "Chest", "Pubis & Genitals", "Abdomen", "Right Thigh"),
  inflam_color_chg = c(0, 0, 0, 0, 2, 3, 1, 3, 2, 0),
  induration = c(0, 0, 0, 0, 2, 3, 1, 3, 2, 0),
  open_skin_surface = c(0, 0, 0, 0, 2, 3, 1, 3, 2, 0),
  tunnels = c(0, 0, 0, 0, 2, 3, 1, 3, 2, 0)
)

hiscr(
  baseline_abscess = c(3, 2, 4),
  baseline_nodule = c(5, 4, 6),
  baseline_fistula = c(2, 1, 3),
  timepoint_abscess = c(1, 1, 2),
  timepoint_nodule = c(2, 3, 2),
  timepoint_fistula = c(2, 1, 3),
  percentage = 50
)

hs_pga <-
  hs_pga_num(
    abscess_fistula = c(0, 0, 1, 0, 1, 2, 6),
    inflammatory_nodule = c(0, 0, 0, 3, 5, 8, 12),
    non_inflammatory_nodule = c(0, 1, 0, 0, 0, 0, 0)
  )
hs_pga_char(hs_pga)

ihs4 <-
  ihs4_num(
    nodules = c(5, 3, 2),
    abscesses = c(2, 1, 0),
    draining_tunnels = c(1, 2, 3)
  )
ihs4_char(ihs4)