Analysis of Medication Data With the ApoMining-Database
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The primary objective of this study is to analyse medication data from the BioCog Study with the ApoMining-Database and to determine the positive and negative predictive value from the ApoMining-Database for prediction of postoperative delirium (POD).
Condition or disease
From 2014-2017 the BioCog Study (ClinicalTrials.gov Identifier: NCT02265263) collected data from 439 perioperative elderly patients in Campus Virchow - Klinikum, Universitätsmedizin Berlin. According to the study protocol, a delirium assessment was performed each day after operation until the 7th postoperative day. At this time, it is known which patients developed postoperative delirium (POD) and which did not. Additionally, from each patient data on long-term medication before operation and applied medication during operation and in the recovery room were collected. In this study, the investiagtors analyse the long-term medication and the perioperative medication from BioCog-Study patients with the ApoMining-Database (http://www.apothesen.de/index.php?id=878; ApoThesenGmbH; Bad Münstereifel; Germany). The ApoMining-Database is a medication database, which analyse tolerability and risks of medications for the elderly. The database generates a hit once a medication reveal a risk for delirium. Additionally, the database can calculate the anticholinergic burden of the medication according to the prescribing information. Whereas the investigators already know, which patient developed a POD, they will determine positive and negative predictive value from the ApoMining-Database for prediction of postoperative delirium.
Positive predictive value of postoperative delirium [ Time Frame: Up to 7 days after surgery ]
Positive predictive value of the application of the ApoMining-Database for prediction of postoperative Delirium (the prediction of delirium by Apomining data base compared to occurence of Delirium in BioCog study)
Secondary Outcome Measures :
Negative predictive value of postoperative delirium [ Time Frame: Up to 7 days after surgery ]
Negative predictive value of the application of the ApoMining-Database for prediction of postoperative delirium.
Cholinesterase activity [ Time Frame: Before surgery, one day after surgery, 3 months after surgery ]
Cholinesterase activity is assessed by Acetylcholinesterase and Butyrylcholinesterase within the BioCog study
Delirium [ Time Frame: Up to 7 days after surgery ]
Delirium is defined within the BioCog study: according to Diagnostic and Statistical Manual of Mental Disorders (DSM-V) and/or as ≥ 2 cumulative points in the nursing Delirium Screening Scale (Nu-DESC) and/or a positive Confusion Assessment Method (CAM) and/or Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) score and/or patient chart review that shows descriptions of delirium.
Other Outcome Measures:
Anticholinergic burden [ Time Frame: One day before surgery ]
Anticholinergic burden is calculated by the ApoMining-Database
Delirium prediction [ Time Frame: Up to the end of stay in the recovery room, an expected average of 1 day ]
Delirium prediction is calculated by Apomining database.
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Layout table for eligibility information
Ages Eligible for Study:
65 Years to 91 Years (Older Adult)
Sexes Eligible for Study:
Accepts Healthy Volunteers:
Elderly patients undergoing elective surgery
From BioCog study (NCT02265263)
From BioCog study (NCT02265263)
Additionally for this analysis:
• Enrollment at Campus Virchow - Klinikum, Charité - Universitätsmedizin Berlin