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Institute
Background
Medication trend studies show the changes of medication over the years and may be replicated using a clinical Data Warehouse (CDW). Even nowadays, a lot of the patient information, like medication data, in the EHR is stored in the format of free text. As the conventional approach of information extraction (IE) demands a high developmental effort, we used ad hoc IE instead. This technique queries information and extracts it on the fly from texts contained in the CDW.
Methods
We present a generalizable approach of ad hoc IE for pharmacotherapy (medications and their daily dosage) presented in hospital discharge letters. We added import and query features to the CDW system, like error tolerant queries to deal with misspellings and proximity search for the extraction of the daily dosage. During the data integration process in the CDW, negated, historical and non-patient context data are filtered. For the replication studies, we used a drug list grouped by ATC (Anatomical Therapeutic Chemical Classification System) codes as input for queries to the CDW.
Results
We achieve an F1 score of 0.983 (precision 0.997, recall 0.970) for extracting medication from discharge letters and an F1 score of 0.974 (precision 0.977, recall 0.972) for extracting the dosage. We replicated three published medical trend studies for hypertension, atrial fibrillation and chronic kidney disease. Overall, 93% of the main findings could be replicated, 68% of sub-findings, and 75% of all findings. One study could be completely replicated with all main and sub-findings.
Conclusion
A novel approach for ad hoc IE is presented. It is very suitable for basic medical texts like discharge letters and finding reports. Ad hoc IE is by definition more limited than conventional IE and does not claim to replace it, but it substantially exceeds the search capabilities of many CDWs and it is convenient to conduct replication studies fast and with high quality.
Aims
From the various mechanical cardiac assist devices and indications available, the use of the percutaneous intraventricular Impella CP pump is usually restricted to acute ischaemic shock or prophylactic indications in high‐risk interventions. In the present study, we investigated clinical usefulness of the Impella CP device in patients with non‐ischaemic cardiogenic shock as compared with acute ischaemia.
Methods and results
In this retrospective single‐centre analysis, patients who received an Impella CP at the University Hospital Würzburg between 2013 and 2017 due to non‐ischaemic cardiogenic shock were age‐matched 2:1 with patients receiving the device due to ischaemic cardiogenic shock. Inclusion criteria were therapy refractory haemodynamic instability with severe left ventricular systolic dysfunction and serum lactate >2.0 mmol/L at implantation. Basic clinical data, indications for mechanical ventricular support, and outcome were obtained in all patients with non‐ischaemic as well as ischaemic shock and compared between both groups. Continuous variables are expressed as mean ± standard deviation or median (quartiles). Categorical variables are presented as count and per cent. Twenty‐five patients had cardiogenic shock due to non‐ischaemic reasons and were compared with 50 patients with cardiogenic shock due to acute myocardial infarction. Resuscitation rates before implantation of Impella CP were high (32 vs. 42%; P = 0.402). At implantation, patients with non‐ischaemic cardiogenic shock had lower levels of high‐sensitive troponin T (110.65 [57.87–322.1] vs. 1610 [450.8–3861.5] pg/mL; P = 0.001) and lactate dehydrogenase (377 [279–608] vs. 616 [371.3–1109] U/L; P = 0.007), while age (59 ± 16 vs. 61.7 ± 11; P = 0.401), glomerular filtration rate (43.5 [33.2–59.7] vs. 48 [35.75–69] mL/min; P = 0.290), C‐reactive protein (5.17 [3.27–10.26] vs. 10.97 [3.23–17.2] mg/dL; P = 0.195), catecholamine index (30.6 [10.6–116.9] vs. 47.6 [11.7–90] μg/kg/min; P = 0.663), and serum lactate (2.6 [2.2–5.8] vs. 2.9 [1.3–6.6] mmol/L; P = 0.424) were comparable between both groups. There was a trend for longer duration of Impella support in the non‐ischaemic groups (5 [2–7.5] vs. 3 [2–5.25] days, P = 0.211). Rates of haemodialysis (52 vs. 47%; P = 0.680) and transition to extracorporeal membrane oxygenation (13.6 vs. 22.2%; P = 0.521) were comparable. No significant difference was found regarding both 30 day survival (48 vs. 30%; P = 0.126) and in‐hospital mortality (66.7 vs. 74%; P = 0.512), although there was a trend for better survival in the non‐ischaemic group.
Conclusions
These data suggest that temporary use of the Impella CP device might be a useful therapeutic option for bridge to recovery not only in ischaemic but also in non‐ischaemic cardiogenic shock.
Introduction: Acute stroke care delivered by interdisciplinary teams is time-sensitive. Simulation-based team training is a promising tool to improve team performance in medical operations. It has the potential to improve process times, team communication, patient safety, and staff satisfaction. We aim to assess whether a multi-level approach consisting of a stringent workflow revision based on peer-to-peer review and 2–3 one-day in situ simulation trainings can improve acute stroke care processing times in high volume neurocenters within a 6 months period.
Methods and Analysis: The trial is being carried out in a pre-test-post-test design at 7 tertiary care university hospital neurocenters in Germany. The intervention is directed at the interdisciplinary multiprofessional stroke teams. Before and after the intervention, process times of all direct-to-center stroke patients receiving IV thrombolysis (IVT) and/or endovascular therapy (EVT) will be recorded. The primary outcome measure will be the “door-to-needle” time of all consecutive stroke patients directly admitted to the neurocenters who receive IVT. Secondary outcome measures will be intervention-related process times of the fraction of patients undergoing EVT and effects on team communication, perceived patient safety, and staff satisfaction via a staff questionnaire.
Interventions: We are applying a multi-level intervention in cooperation with three “STREAM multipliers” from each center. First step is a central meeting of the multipliers at the sponsor's institution with the purposes of algorithm review in a peer-to-peer process that is recorded in a protocol and an introduction to the principles of simulation training and debriefing as well as crew resource management and team communication. Thereafter, the multipliers cooperate with the stroke team trainers from the sponsor's institution to plan and execute 2–3 one-day simulation courses in situ in the emergency department and CT room of the trial centers whereupon they receive teaching materials to perpetuate the trainings.
Clinical Trial Registration: STREAM is a registered trial at https://clinicaltrials.gov/ct2/show/NCT03228251.