Within the ADLB ADaM data set there is a concept of lab grading,
where there is a set of criteria for particular lab tests that grade the
severity or abnormality of a lab value. The grades are from 0 to 4,
where grade 0 can be viewed generally as a “NORMAL” value. The higher
the grade the more severe or more abnormal the lab value is. There are
several sets of lab grading criteria, currently {admiral}
has implemented NCI-CTCAEv4, NCI-CTCAEv5 and DAIDS grading criteria. In
future releases {admiral}
may look to implement further
grading criteria.
The NCI-CTCAE version 4 and 5 grading criteria can be found here: https://ctep.cancer.gov/protocoldevelopment/electronic_applications/ctc.htm .
The NCI-CTCAEv4 criteria can be found under the heading Common Terminology Criteria for Adverse Events (CTCAE)v4.0
The NCI-CTCAEv5 criteria can be found under the heading Common Terminology Criteria for Adverse Events (CTCAE)v5.0
The DAIDS grading criteria can be found here: https://rsc.niaid.nih.gov/clinical-research-sites/daids-adverse-event-grading-tables .
The DAIDS criteria can be found under the heading DAIDS Table for Grading the Severity of Adult and Pediatric Adverse Events Corrected Version 2.1
{admiral}
will store a metadata data set for each set of
grading criteria in the data folder of {admiral}
.
Currently, we have atoxgr_criteria_ctcv4()
for NCI-CTCAEv4,
atoxgr_criteria_ctcv5()
for NCI-CTCAEv5 and
atoxgr_criteria_daids()
for DAIDS. Each metadata data set
has required variables and optional variables, the optional variables
are purely for transparency, and will contain detailed information about
the grading criteria. The required variables are those used by
{admiral}
to create the grade.
The metadata data set has the following structure for the required variables:
Variable | Scope | Type | Example Value |
---|---|---|---|
TERM | Term describing the criteria applied to a particular lab test. | Character | “Anemia” |
DIRECTION | The direction of the abnormality of a particular lab test value | Character | “L” or “H”. |
SI_UNIT_CHECK | Unit of lab test, to check against input data if criteria is based on absolute values. | Character | “mmol/L” |
VAR_CHECK | Comma separated list of variables used in criteria, to check input data that variables exist. | Character | “AVAL, ANRLO” |
FILTER | Only required for DAIDS grading. Variable to hold code that filters the lab data based on contents of column SUBGROUP. | Character | R code that is valid within a filter function
call. |
GRADE_CRITERIA_CODE | Variable to hold code that creates grade based on defined criteria. | Character | R code that is a valid case statement within a mutate
function call. |
The metadata data set has the following structure for the optional variables:
Variable | Scope | Type | Example Value |
---|---|---|---|
SOC | System Organ Class the lab test belongs to. | Character | “Investigations” |
SUBGROUP | Only required for DAIDS grading. Description of subgroup of lab data. | Character | “> 15 years of age”. |
GRADE_1 | Grade 1 criteria for lab test, normally straight from source document. | Character | “>ULN - 3.0 x ULN”. |
GRADE_2 | Grade 2 criteria for lab test, normally straight from source document. | Character | “>3.0 - 5.0 x ULN”. |
GRADE_3 | Grade 3 criteria for lab test, normally straight from source document. | Character | “>5.0 - 20.0 x ULN”. |
GRADE_4 | Grade 4 criteria for lab test, normally straight from source document. | Character | “>20.0 x ULN”. |
DEFINITION | Definition of abnormality, normally from source document. | Character | “A finding based on laboratory test results that indicate an increase in the level of alanine aminotransferase (ALT or SGPT) in the blood specimen.”. |
COMMENT | Description of any decisions made by {admiral} to
implement grading criteria, where grading criteria alone was
ambiguous. |
Character | “Take worst case and assume on anticoagulation”. |
When comparing numeric values, for example
AVAL > 1.1*ANRHI
, unexpected results can occur due to
floating point issues. To solve this issue {admiral} used the
signif()
function on both side of the equation, the number
of significant digits used to compare is passed into the function
derive_var_atoxgr_dir()
via the argument
signif_dig
. Please see documentation of the function for
more details and the blog post How
admiral handles floating points for more context.
{admiral}
metadata data setlibrary(admiral)
library(pharmaversesdtm)
library(dplyr, warn.conflicts = FALSE)
library(stringr)
library(tibble)
data("lb")
adsl <- admiral_adsl
lb <- convert_blanks_to_na(lb)
Each company needs to map their lab test to a term that
describes the criteria being applied. The list of terms defined in the
{admiral}
metadata to implement NCI-CTCAEv4 is below:
TERM |
---|
Anemia |
Leukocytosis |
Activated partial thromboplastin time prolonged |
Alanine aminotransferase increased |
Alkaline phosphatase increased |
Aspartate aminotransferase increased |
Blood bilirubin increased |
CD4 lymphocytes decreased |
Cholesterol high |
CPK increased |
Likewise, the list of terms defined in the
{admiral}
metadata to implement NCI-CTCAEv5 is below:
(Terms identical to NCI-CTCAEv4, except Hyperglycemia
,
Hyperglycemia (Fasting)
and Hypophosphatemia
)
which are not present in NCI-CTCAEv5.
TERM |
---|
Anemia |
Leukocytosis |
Activated partial thromboplastin time prolonged |
Alanine aminotransferase increased |
Alkaline phosphatase increased |
Aspartate aminotransferase increased |
Blood bilirubin increased |
CD4 lymphocytes decreased |
Cholesterol high |
CPK increased |
Finally, the list of terms defined in the {admiral}
metadata to implement DAIDS is below:
TERM |
---|
Acidosis |
Albumin, Low |
Alkaline Phosphatase, High |
Alkalosis |
ALT, High |
Amylase, High |
AST, High |
Bicarbonate, Low |
Direct Bilirubin, High |
Total Bilirubin, High |
Using CDISC data these lab tests can be mapped to the correct
terms, firstly create PARAMCD
, PARAM
,
AVAL
, ANRLO
and ANRHI
, also some
lab grading criteria require BASE
and PCHG
, so
these would also need to be created before running
derive_var_atoxgr_dir()
function.
# Look-up tables ----
# Assign PARAMCD, PARAM, and PARAMN
param_lookup <- tibble::tribble(
~LBTESTCD, ~PARAMCD, ~PARAM, ~PARAMN,
"ALB", "ALB", "Albumin (g/L)", 1,
"ALP", "ALKPH", "Alkaline Phosphatase (U/L)", 2,
"ALT", "ALT", "Alanine Aminotransferase (U/L)", 3,
"ANISO", "ANISO", "Anisocytes", 4,
"AST", "AST", "Aspartate Aminotransferase (U/L)", 5,
"BASO", "BASO", "Basophils (10^9/L)", 6,
"BASOLE", "BASOLE", "Basophils/Leukocytes (FRACTION)", 7,
"BILI", "BILI", "Bilirubin (umol/L)", 8,
"BUN", "BUN", "Blood Urea Nitrogen (mmol/L)", 9,
"CA", "CA", "Calcium (mmol/L)", 10,
"CHOL", "CHOLES", "Cholesterol (mmol/L)", 11,
"CK", "CK", "Creatinine Kinase (U/L)", 12,
"CL", "CL", "Chloride (mmol/L)", 13,
"COLOR", "COLOR", "Color", 14,
"CREAT", "CREAT", "Creatinine (umol/L)", 15,
"EOS", "EOS", "Eosinophils (10^9/L)", 16,
"EOSLE", "EOSLE", "Eosinophils/Leukocytes (FRACTION)", 17,
"GGT", "GGT", "Gamma Glutamyl Transferase (U/L)", 18,
"GLUC", "GLUC", "Glucose (mmol/L)", 19,
"HBA1C", "HBA1C", "Hemoglobin A1C (1)", 20,
"HCT", "HCT", "Hematocrit (1)", 21,
"HGB", "HGB", "Hemoglobin (mmol/L)", 22,
"K", "POTAS", "Potassium (mmol/L)", 23,
"KETONES", "KETON", "Ketones", 24,
"LYM", "LYMPH", "Lymphocytes (10^9/L)", 25,
"LYMLE", "LYMPHLE", "Lymphocytes/Leukocytes (FRACTION)", 26,
"MACROCY", "MACROC", "Macrocytes", 27,
"MCH", "MCH", "Ery. Mean Corpuscular Hemoglobin (fmol(Fe))", 28,
"MCHC", "MCHC", "Ery. Mean Corpuscular HGB Concentration (mmol/L)", 29,
"MCV", "MCV", "Ery. Mean Corpuscular Volume (f/L)", 30,
"MICROCY", "MICROC", "Microcytes", 31,
"MONO", "MONO", "Monocytes (10^9/L)", 32,
"MONOLE", "MONOLE", "Monocytes/Leukocytes (FRACTION)", 33,
"PH", "PH", "pH", 34,
"PHOS", "PHOS", "Phosphate (mmol/L)", 35,
"PLAT", "PLAT", "Platelet (10^9/L)", 36,
"POIKILO", "POIKIL", "Poikilocytes", 37,
"POLYCHR", "POLYCH", "Polychromasia", 38,
"PROT", "PROT", "Protein (g/L)", 39,
"RBC", "RBC", "Erythrocytes (TI/L)", 40,
"SODIUM", "SODIUM", "Sodium (mmol/L)", 41,
"SPGRAV", "SPGRAV", "Specific Gravity", 42,
"TSH", "TSH", "Thyrotropin (mU/L)", 43,
"URATE", "URATE", "Urate (umol/L)", 44,
"UROBIL", "UROBIL", "Urobilinogen", 45,
"VITB12", "VITB12", "Vitamin B12 (pmol/L)", 46,
"WBC", "WBC", "Leukocytes (10^9/L)", 47
)
adlb <- lb %>%
## Add PARAMCD PARAM and PARAMN - from LOOK-UP table
derive_vars_merged_lookup(
dataset_add = param_lookup,
new_vars = exprs(PARAMCD, PARAM, PARAMN),
by_vars = exprs(LBTESTCD)
) %>%
## Calculate PARCAT1 AVAL AVALC ANRLO ANRHI
## Dummy the values for BASE
mutate(
PARCAT1 = LBCAT,
AVAL = LBSTRESN,
AVALC = ifelse(
is.na(LBSTRESN) | as.character(LBSTRESN) != LBSTRESC,
LBSTRESC,
NA
),
ANRLO = LBSTNRLO,
ANRHI = LBSTNRHI,
BASE = AVAL - 10
)
#> All `LBTESTCD` are mapped.
Another look-up table is used to add on ATOXDSCL
and
ATOXDSCH
using PARAMCD
. ATOXDSCL
holds the terms for grading low lab values, and ATOXDSCH
holds the terms for grading high lab values. The names of these
variables can be user-defined. ATOXDSCL
and
ATOXDSCH
are the link from ADLB data to the
{admiral}
metadata that holds the grading criteria.
# Assign ATOXDSCL and ATOXDSCH to hold lab grading terms
# ATOXDSCL and ATOXDSCH hold terms defined by NCI-CTCAEv4.
grade_lookup <- tibble::tribble(
~PARAMCD, ~ATOXDSCL, ~ATOXDSCH,
"ALB", "Hypoalbuminemia", NA_character_,
"ALKPH", NA_character_, "Alkaline phosphatase increased",
"ALT", NA_character_, "Alanine aminotransferase increased",
"AST", NA_character_, "Aspartate aminotransferase increased",
"BILI", NA_character_, "Blood bilirubin increased",
"CA", "Hypocalcemia", "Hypercalcemia",
"CHOLES", NA_character_, "Cholesterol high",
"CK", NA_character_, "CPK increased",
"CREAT", NA_character_, "Creatinine increased",
"GGT", NA_character_, "GGT increased",
"GLUC", "Hypoglycemia", "Hyperglycemia",
"HGB", "Anemia", "Hemoglobin increased",
"POTAS", "Hypokalemia", "Hyperkalemia",
"LYMPH", "CD4 lymphocytes decreased", NA_character_,
"PHOS", "Hypophosphatemia", NA_character_,
"PLAT", "Platelet count decreased", NA_character_,
"SODIUM", "Hyponatremia", "Hypernatremia",
"WBC", "White blood cell decreased", "Leukocytosis",
)
adlb <- adlb %>%
derive_vars_merged(
dataset_add = grade_lookup,
by_vars = exprs(PARAMCD),
)
It is now straightforward to create the grade, for low lab values the
grade will be held in ATOXGRL
and for high lab values the
grade will be held in ATOXGRH
.
Note: for NCICTCAEv5 grading, you would update
meta_criteria
parameter to
atoxgr_criteria_ctcv5
and for DAIDS grading you would
update meta_criteria
parameter to
atoxgr_criteria_daids
adlb <- adlb %>%
derive_var_atoxgr_dir(
new_var = ATOXGRL,
tox_description_var = ATOXDSCL,
meta_criteria = atoxgr_criteria_ctcv4,
criteria_direction = "L",
get_unit_expr = extract_unit(PARAM)
) %>%
derive_var_atoxgr_dir(
new_var = ATOXGRH,
tox_description_var = ATOXDSCH,
meta_criteria = atoxgr_criteria_ctcv4,
criteria_direction = "H",
get_unit_expr = extract_unit(PARAM)
)
Note: {admiral}
does not grade ‘Anemia’ or ‘Hemoglobin
Increased’ because the metadata is based on the SI unit of ‘g/L’,
however the CDISC data has SI unit of ‘mmol/L’. Please see
SI_UNIT_CHECK
variable in {admiral}
metadata
atoxgr_criteria_ctcv4()
or
atoxgr_criteria_ctcv5()
or
atoxgr_criteria_daids()
, the metadata is in the data folder
of {admiral}
.
TERM | SI_UNIT_CHECK |
---|---|
Anemia | g/L |
Leukocytosis | 10^9/L |
CD4 lymphocytes decreased | 10^9/L |
Cholesterol high | mmol/L |
Fibrinogen decreased | g/L |
Hemoglobin increased | g/L |
Lymphocyte count decreased | 10^9/L |
Lymphocyte count increased | 10^9/L |
Neutrophil count decreased | 10^9/L |
Platelet count decreased | 10^9/L |
{admiral}
also gives the option to combine
ATOXGRL
and ATOXGRH
into one variable, namely
ATOXGR
. Grades held in ATOXGRL
will be given a
negative value in ATOXGR
to distinguish between low and
high values.
ATOXDSCL | ATOXDSCH | ATOXGRL | ATOXGRH | ATOXGR |
---|---|---|---|---|
CD4 lymphocytes decreased | NA | 1 | NA | -1 |
Hypoalbuminemia | NA | 1 | NA | -1 |
Hypoalbuminemia | NA | 1 | NA | -1 |
Hypoalbuminemia | NA | 1 | NA | -1 |
Hypoalbuminemia | NA | 1 | NA | -1 |
Hypoalbuminemia | NA | 1 | NA | -1 |
Hypoalbuminemia | NA | 1 | NA | -1 |
Hypoalbuminemia | NA | 1 | NA | -1 |
Hypoalbuminemia | NA | 1 | NA | -1 |
Hypoalbuminemia | NA | 1 | NA | -1 |
Grading is implemented for those lab tests where a lab value is
included in the grading definition, {admiral}
does NOT try
to read any other data to determine the grade, and only the ADLB VAD is
used. The following CTCAE v4.0 SOC values were identified for grading,
these are “Investigations”, “Metabolism and nutrition disorders” and
“Blood and lymphatic system disorders”.
From these SOC values the following terms criteria is implemented in
{admiral}
From SOC = “Investigations” there are 21 CTCAE v4.0 Terms:
From the SOC = “Metabolism and nutrition disorders” there are 14 CTCAE v4.0 Terms:
From the SOC = “Blood and lymphatic system disorders” there are 2 CTCAE v4.0 Terms:
For terms “Hypocalcemia” and “Hypercalcemia” the criteria is provided
for Calcium and Ionized Calcium, therefore {admiral}
created a row for each in the metadata, this is noted in the COMMENT
variable of the metadata:
TERM | COMMENT |
---|---|
Hypercalcemia | Split Corrected Calcium and Ionized Calcium into 2 separate terms. |
Hypercalcemia (Ionized) | Split Corrected Calcium and Ionized Calcium into 2 separate terms. |
Hypocalcemia | Split Corrected Calcium and Ionized Calcium into 2 separate terms. |
Hypocalcemia (Ionized) | Split Corrected Calcium and Ionized Calcium into 2 separate terms. |
Similarly, there is criteria applicable to Fasting Glucose as well as non-Fasting Glucose for “Hyperglycemia” so again this was split into 2 rows, and noted in the COMMENT variable. Note “Hypoglycemia” does not require to be split into 2 rows:
TERM | COMMENT |
---|---|
Hyperglycemia (Fasting) | Split Fasting Glucose and Glucose into 2 separate terms. |
Hyperglycemia | Split Fasting Glucose and Glucose into 2 separate terms. |
Hypoglycemia | NA |
For term “INR Increased” there is the following criteria:
TERM | Grade_1 |
---|---|
INR increased | >1 - 1.5 x ULN; >1 - 1.5 times above baseline if on anticoagulation |
{admiral}
assumed worst case and used both parts of the
criteria for grading, so comparing lab value against ULN and also BASE.
The decision made was put in the COMMENT
field.
TERM | COMMENT |
---|---|
INR increased | Take worst case and assume “on anticoagulation” |
For TERM “Hyperuricemia”, the criteria for Grade 1 and Grade 3 is the
same with respect to the lab value, so worse case is assumed as grade 3.
The decision made was put in the COMMENT
field.
TERM | Grade_1 | Grade_3 | COMMENT |
---|---|---|---|
Hyperuricemia | >ULN - 10 mg/dL (0.59 mmol/L) without physiologic consequences | >ULN - 10 mg/dL (0.59 mmol/L) with physiologic consequences | Take worst case and assume “with physiologic consequences” |
A similar approach was taken for TERM “Hypokalemia” where Grade 1 and
Grade 2 criteria is the same with respect to the lab value, so worse
case is assumed as grade 2. The decision made was put in the
COMMENT
field.
TERM | Grade_1 | Grade_2 | COMMENT |
---|---|---|---|
Hypokalemia | <LLN - 3.0 mmol/L | <LLN - 3.0 mmol/L; symptomatic; intervention indicated | Take worst case and assume “symptomatic OR intervention indicated” |
Grading is implemented for those lab tests where a lab value is
included in the grading definition, {admiral}
does NOT try
to read any other data to determine the grade, and only the ADLB VAD is
used. The following CTCAE v5.0 SOC values were identified for grading,
these are “Investigations”, “Metabolism and nutrition disorders” and
“Blood and lymphatic system disorders”.
From these SOC values the following terms criteria is implemented in
{admiral}
From SOC = “Investigations” there are 21 CTCAE v5.0 Terms:
Note: These are the same terms identified for NCI-CTCAEv4.
From the SOC = “Metabolism and nutrition disorders” there are 12 CTCAE v4.0 Terms:
Note: These are the same terms identified for NCI-CTCAEv4, except “Hypophosphatemia” and “Hyperglycemia” which are not in NCICTCAEv5 grading criteria.
From the SOC = “Blood and lymphatic system disorders” there are 2 CTCAE v4.0 Terms:
Note: These are the same terms identified for NCI-CTCAEv4.
For terms “Hypocalcemia” and “Hypercalcemia” the criteria is provided
for Calcium and Ionized Calcium, therefore {admiral}
created a row for each in the metadata, this is noted in the COMMENT
variable of the metadata:
TERM | COMMENT |
---|---|
Hypercalcemia | Split Corrected Calcium and Ionized Calcium into 2 separate terms. |
Hypercalcemia (Ionized) | Split Corrected Calcium and Ionized Calcium into 2 separate terms. |
Hypocalcemia | Split Corrected Calcium and Ionized Calcium into 2 separate terms. |
Hypocalcemia (Ionized) | Split Corrected Calcium and Ionized Calcium into 2 separate terms. |
For terms “Alanine aminotransferase increased”, “Alkaline phosphatase
increased”, “Aspartate aminotransferase increased”, “Blood bilirubin
increased” and “GGT increased” the criteria is dependent on the Baseline
Value BASE
being normal or abnormal. For BASE
to be abnormal we compare it with the Upper Limit of Normal (ULN)
ANRHI
, i.e. BASE > ANRHI
. This means if
BASE
is abnormal then the grade is always zero for the
baseline observation.
For term “INR Increased” there is the following criteria:
TERM | Grade_1 |
---|---|
INR increased | >1.2 - 1.5 x ULN; >1 - 1.5 x baseline if on anticoagulation; monitoring only indicated |
{admiral}
assumed worst case and used both parts of the
criteria for grading, so comparing lab value against ULN and also BASE.
The decision made was put in the COMMENT
field.
TERM | COMMENT |
---|---|
INR increased | Take worst case and assume “on anticoagulation” |
Similarly, for terms “Lipase Increased” and “Serum amylase
increased” there is the following criteria:
TERM | Grade_2 | Grade_3 | Grade_4 |
---|---|---|---|
Lipase increased | >1.5 - 2.0 x ULN; >2.0 - 5.0 x ULN and asymptomatic | >2.0 - 5.0 x ULN with signs or symptoms; >5.0 x ULN and asymptomatic | >5.0 x ULN and with signs or symptoms |
Serum amylase increased | >1.5 - 2.0 x ULN; >2.0 - 5.0 x ULN and asymptomatic | >2.0 - 5.0 x ULN with signs or symptoms; >5.0 x ULN and asymptomatic | >5.0 x ULN and with signs or symptoms |
{admiral}
assumed worst case and implemented highest
grade possible. The decision made was put in the COMMENT
field.
TERM | COMMENT |
---|---|
INR increased | Take worst case and assume “on anticoagulation” |
Serum amylase increased | Take worst case and assume “signs and symptoms” |
For TERM “Hyperuricemia”, the criteria for Grade 1 and Grade 3 is the
same with respect to the lab value, so worse case is assumed as grade 3.
The decision made was put in the COMMENT
field.
TERM | Grade_1 | Grade_3 | COMMENT |
---|---|---|---|
Hyperuricemia | >ULN without physiologic consequences | >ULN with physiologic consequences | Take worst case and assume “with physiologic consequences” |
A similar approach was taken for TERM “Hypokalemia” and
“Hyponatremia”. For “Hypokalemia”, where Grade 1 and Grade 2 criteria is
the same with respect to the lab value, then worse case is assumed as
grade 2. For “Hyponatremia”, where Grade 2 and Grade 2 criteria is the
same with respect to the lab value, then worse case is assumed as grade
3. The decision made was put in the COMMENT
field.
TERM | Grade_1 | Grade_2 | Grade_3 | COMMENT |
---|---|---|---|---|
Hypokalemia | <LLN - 3.0 mmol/L | Symptomatic with <LLN - 3.0 mmol/L; intervention indicated | <3.0 - 2.5 mmol/L; hospitalization indicated | Take worst case and assume “symptomatic” |
Hyponatremia | <LLN - 130 mmol/L | 125-129 mmol/L and asymptomatic | 125-129 mmol/L symptomatic; 120-124 mmol/L regardless of symptoms | Take worst case and assume “symptomatic” |
Grading is implemented for those lab tests where a lab value is
included in the grading definition, {admiral}
does NOT try
to read any other data to determine the grade, and only the ADLB VAD is
used. The following DAIDS SOC values were identified for grading, these
are “Chemistries” and “Hematology”.
From these SOC values the following terms criteria is implemented in
{admiral}
From SOC = “Chemistries” there are 31 DAIDS Terms:
Note: {admiral} does not grade for TERM = “Total Bilirubin, High” when AGE <= 28 days, these criteria are in Appendix of DAIDS Table for Grading the Severity of Adult and Pediatric Adverse Events Corrected Version 2.1.
From the SOC = “Hematology” there are 11 DAIDS Terms:
Some terms defined in DAIDS have age or sex dependent grading
criteria, {admiral} handles this in variable FILTER
in the
metadata. We use {admiral} function compute_duration
to
calculate age, see TERM = “Cholesterol, Fasting, High”:
TERM | FILTER |
---|---|
Cholesterol, Fasting, High | compute_duration(start_date = BRTHDT, end_date = LBDT, trunc_out = TRUE, out_unit = “years”, add_one = FALSE, type = “interval”) >= 18 | is.na(BRTHDT) | is.na(LBDT) |
Cholesterol, Fasting, High | compute_duration(start_date = BRTHDT, end_date = LBDT, trunc_out = TRUE, out_unit = “years”, add_one = FALSE, type = “interval”) < 18 | is.na(BRTHDT) | is.na(LBDT) |
Note: All possible values must be covered for each TERM defined, for TERM = “Absolute Lymphocyte Count, Low” and “Absolute CD4+ Count, Low” there is only grading criteria defined for age > 5 years. Therefore, we add another row with age <= 5 years and set grade to missing. Similarly, for TERM = “LDL, Fasting, High” there is only grading criteria defined for age > 2 years. Therefore, we add another row with age <= 2 years and set grade to missing.
TERM | FILTER | GRADE_CRITERIA_CODE |
---|---|---|
LDL, Fasting, High | compute_duration(start_date = BRTHDT, end_date = LBDT, trunc_out = TRUE, out_unit = “years”, add_one = FALSE, type = “interval”) <= 2 | is.na(BRTHDT) | is.na(LBDT) | NA_character_ |
Absolute CD4+ Count, Low | compute_duration(start_date = BRTHDT, end_date = LBDT, trunc_out = TRUE, out_unit = “years”, add_one = FALSE, type = “interval”) <= 5 | is.na(BRTHDT) | is.na(LBDT) | NA_character_ |
Absolute Lymphocyte Count, Low | compute_duration(start_date = BRTHDT, end_date = LBDT, trunc_out = TRUE, out_unit = “years”, add_one = FALSE, type = “interval”) <= 5 | is.na(BRTHDT) | is.na(LBDT) | NA_character_ |
For terms “INR, High”, “PT, High” and “PTT, High”, the criteria is based on subjects “not on anticoagulation therapy”, this is captured in COMMENT field.
TERM | COMMENT |
---|---|
INR, High | Assume “not on anticoagulation” |
PTT, High | Assume “not on anticoagulation” |
PT, High | Assume “not on anticoagulation” |
Similarly, for terms “Absolute CD4+ Count, Low” and “Absolute Lymphocyte Count, Low”, the criteria is based on subjects “not HIV infected”, this is captured in COMMENT field.
TERM | COMMENT |
---|---|
Absolute CD4+ Count, Low | Assume “not HIV infected” |
Absolute Lymphocyte Count, Low | Assume “not HIV infected” |
For term “Acidosis”, “Alkalosis” and “Direct Bilirubin, High (> 28 days of age)”, {admiral} grades as high as possible, so assumes worst case and subject has “life-threatening consequences”. This is captured in COMMENT field.
TERM | COMMENT |
---|---|
Acidosis | Assume “with lifethreatening consequences” |
Alkalosis | Assume “with lifethreatening consequences” |
Direct Bilirubin, High | Assume worst case of “lifethreatening consequences (e.g., signs and symptoms of liver failure)” |
Similarly, for term “Lactate, High”, {admiral} only grade 1 and
2, and there is the following criteria:
TERM | Grade_1 |
---|---|
Lactate, High | ULN to < 2.0 x ULN without acidosis |
{admiral}
assumed worst case and assume “without
acidosis”. The decision made was put in the COMMENT
field.
TERM | COMMENT |
---|---|
Lactate, High | Assume “without acidosis” (only grade 1 and 2) |
For TERM “Direct Bilirubin, High (<= 28 days of age)” and “Uric Acid, High” the criteria is not given in SI unit. The conversion to SI unit is in the comment field.
TERM | FILTER | COMMENT |
---|---|---|
Direct Bilirubin, High | compute_duration(start_date = BRTHDT, end_date = LBDT, trunc_out = TRUE, out_unit = “days”, add_one = FALSE) <= 28 | is.na(BRTHDT) | is.na(LBDT) | 17.1 used as conversion from “mg/dL” to “umol/L” |
Uric Acid, High | NA | To convert “mmol/L” to “umol/L” multiply by 1000 |
With NCI-CTCAEv4, NCI-CTCAEv5 and DAIDS grading now implemented, {admiral} may look to implement other industry standard grading criteria. Providing tools for users to easily interact with the metadata to update criteria, based on their companies needs will also be looked at. Ideally, users should be able to create their own metadata for company specific grading schemes.