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Definexmltable
ExtraUser Notes
DatasetADAPCH
LevelValue
PurposeAnalysis
NameAVAL

Variable

Where

Type

Controlled Terms

Source

Derivation

User Notes

AVAL

PARAMCD NOT IN ("APCH1TPS" (APCH1-A: Total Acute Physiology Score - Analysis), "APCH1TS" (APCH1-Total APACHE II Score - Analysis))

Num



Set AVAL=RS.RSSTRESN.The analysis value is the result copied from SDTM.

AVAL

PARAMCD EQ "APCH1TPS" (APCH1-A: Total Acute Physiology Score - Analysis)

Num



The sum of RS.RSSTRESN for RS.RSTESTCD in ("APCH101"-"APCH112") if no question are missing. Note that one out of the following two items: RSTESTCD="APCH105A" or "APCH105B" must be answered or RSTESTCD="APCH106A" or "APCH106B" but not both.

The expectation is that issues with conditional branching are fixed in SDTM RS.

AVAL

PARAMCD EQ "APCH1TS" (APCH1-Total APACHE II Score - Analysis)

Num



The sum of RS.RSSTRESN for RS.RSTESTCD in ("APCH101"-"APCH112") and "APCH114", "APCH115" if no question are missing. Note that one out of the following two items: RSTESTCD="APCH105A" or "APCH105B" must be answered or RSTESTCD="APCH106A" or "APCH106B" but not both.

If a subject dies on or before Day 15, they are assigned the highest observed APACHE II score of any of the participants at any time during the trial for their Total APACHE II Score at Day 15 (Day of Discharge).

The assignment of the highest observed APACHE II score is for illustration purposes only and not meant as a recommendation.

6.3   Example Analysis Dataset 

The APACHE II Summary Analysis Dataset table shows the terminology and variables for implementing the example analysis dataset for this instrument in the BDS. This specific example is taken from a Phase II, randomized, controlled, open label multi-center study to assess the efficacy and safety of Drug A for the treatment of SARS-CoV-2 infected patients with COVID-19 pneumonia and impaired respiratory function. The primary outcome measure is APACHE II Severity of Disease Score on Day 15 or on the Day of Discharge (Whichever is Earlier). This measure compares Drug A + Standard of Care (SOC) versus the Standard of Care (SOC). 

In this example, the APACHE II score was measured on Day 1 (prior to implementation of treatment), Day 7, and Day 15 or on the day of discharge (whichever was earlier). As In the example, as per the SAP, participants who died on Day 15 or earlier were assigned the highest observed APACHE II score of any of the participants at any time during the trial (worst case imputation for deaths). This imputation method is for example purposes only and not meant to be a recommendation nor considered a common practice. Missing data values of the parameters required for the derivation of the APACHE II score were replaced by the last available assessment. Item level imputation, in this example, is handled by the investigators and/or clinicians at the site and is considered source data, already captured in SDTM. The  --LNKID variable can be used to determine the source or input record used to assess that particular physiological item on APACHE II at that time point. SOC included a variety of supportive therapies that ranged from the administration of supplementary oxygen to full intensive care support, alongside the use of antiviral treatment, convalescent plasma, corticosteroids, antibiotics or other agents.

The In the example, the SAP specifies that planned collected visits, including baseline measurements, are to be used in analyses and displays of results. In fact, no Unscheduled Visits exist in the source data. If the planned physiology assessment is not done or invalid, the investigator may choose to use a previous or repeat assessment of that parameter as the value at that visit for the scoring of APACHE II. The records for 2 subjects are show in the example datasets. The data for 3 visits is shown for the first subject with no missing data. The data for 1 visit is shown for the second subject and the subject dies before the Day 15 (Day of Discharge) Visit so the APACHE II total score is imputed to the worst case value of any subjects across any timepoints at that visit. Note that the worst case value is not shown in the sample data.

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