detect_aki: Identify Acute Kidney Injury
In jadonwagstaff/kdigo: KDIGO Diagnosistics Tool

Description Usage Arguments Details Value

View source: R/detect_aki.R

Uses KDIGO Clinical practice guidline for acute kidney injury to detect AKI events.

1	detect_aki(df)

df

Data frame containing specific columns:

ID: Unique patient identification.

COLLECTED_DT: Dates when corresponding samples were collected. Must be R datetime object.

RESULT: Creatinine value cooresponding to collected sample. Units must be mg/dl.

Optional:

BIRTH_DT: Birth date of patient. Must be R date or datetime object. Only used for ages under 18.

ULRI: Reference index for upper limit of normal expected creatinine levels. Only used for ages under 18. If no value is provided, a value will be calculated based on age (see note in details). Units must be mg/dl.

Using Kidney Disease: Improving Global Outcomes (KDIGO) guidelines, Acute Kidney Injury (AKI) are detected using this function. Guidelines implemented can be found at[1].

Note: if no reference index (RI_HIGH) is provided for a creatinine value, a value will be generated using reference values found in [2]. For ages under 18, the fractional polynomial value will be used. This value may be used to categorize stage 3 AKI.

1. Selby NM, Hill R, Fluck RJ. Standardizing the early identification of acute kidney injury: the NHS England ational patient safety alert. Nephron. 2015;131:113-117.

2. Ceriotti F, Boyd JC, Klein G, et al. Reference intervals for serum creatinine concentrations: assessment of available data for global application. Clinical Chemistry. 2008;54(3):559-566.

Returns a data frame identifying acute kidney injury with specific colums:

AKI_STAGE: Classifies the stage (1,2,3) of AKI event. 0 if there is no AKI event and NA if classification is unknown.

AKI_BASELINE: Baseline used in detection of AKI_FLAG. Returns NA if no baseline was established.

jadonwagstaff/kdigo documentation built on May 22, 2021, 12:22 a.m.