--- title: "Detecting inflammation" output: rmarkdown::html_vignette vignette: > %\VignetteIndexEntry{Detecting inflammation} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- ```{r, include = FALSE} knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ``` ```{r setup, echo = FALSE} library(micronutr) ``` Inflammation, and its different stages, can be assessed based on the the levels of acute-phase proteins - one of either *c-reactive protein (CRP)* or *α1-acid-glycoprotein (AGP)*, or both. ### Classifying inflammation based on CRP or AGP only The classification of inflammation status based on either CRP or AGP only is shown in the table below. **Acute-phase Protein** | **Cut-off Points** :--- | :--- CRP | > 5 microgram/L AGP | > 1 g/L The function `detect_inflammation_crp()` classifies *c-reactive protein* levels based on the cut-off point shown above to detect inflammation. For example, if CRP is at 2 microgram/L, ```{r micronutr5, echo = TRUE} detect_inflammation_crp(crp = 2) ``` the individual is classified as not having inflammation. We can also set the function to provide simple integer codes to classify inflammation by setting the `label` argument to FALSE. ```{r micronutr6, echo = TRUE} detect_inflammation_crp(crp = 2, label = FALSE) ``` In this case, an integer code of 0 is provided to indicate a no inflammation status. This would be useful in workflows that require/prefer integer codes for binary classification. The function `detect_inflammation_agp()` classifies *α1-acid-glycoprotein (AGP)* levels based on the cut-off point shown above to detect inflammation. For example, if AGP is at 1.5 g/L, ```{r micronutr7, echo = TRUE} detect_inflammation_agp(agp = 1.5) ``` the individual is classified as having inflammation. We can also set the function to provide simple integer codes to classify inflammation by setting the `label` argument to FALSE. ```{r micronutr8, echo = TRUE} detect_inflammation_agp(agp = 1.5, label = FALSE) ``` In this case, an integer code of 1 is provided to indicate inflammation status. This would be useful in workflows that require/prefer integer codes for binary classification. These functions are useful for classifying inflammation when data for only one of active-phase proteins is available. ### Classifying inflammation based on both CRP and AGP The detailed classification of inflammation status based on the combination of CRP and AGP is shown in the table below. **Inflammation Status** | **Cut-off Points** :--- | :--- | Incubation | CRP > 5 microgram/L and AGP <= 1 g/L Early convalescence | CRP > 5 microgram/L and AGP > 1 g/L Late convalescence | CRP <= 5 microgram/L and AGP > 1 g/L The function `detect_inflammation()` accepts values for both CRP and AGP to classify inflammation status. For example, an individual with CRP of 2 microgram/L and AGP of 1.5 g/L, ```{r micronutr9, echo = TRUE} detect_inflammation(crp = 2, agp = 1.5) ``` the individual is classified as being in late convalescence. We can also set the function to provide simple integer codes to classify inflammation by setting the `label` argument to FALSE. ```{r micronutr10, echo = TRUE} detect_inflammation(crp = 2, agp = 1.5, label = FALSE) ``` In this case, an integer code of 3 is provided to indicate late convalescence status. This would be useful in workflows that require/prefer integer codes for classification. The `detect_inflammation()` function can also be used for assessing inflammation status using only one of the active-phase proteins. Using the earlier example of an individual with a CRP of 2 µg/L, ```{r micronutr11, echo = TRUE} detect_inflammation(crp = 2) ``` we get the same result as using the `detect_inflammation_crp()`. ## References C-reactive protein concentrations as a marker of inflammation or infection for interpreting biomarkers of micronutrient status. Vitamin and Mineral Nutrition Information System. Geneva: World Health Organization; 2014.