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Use Case driven Common Data Elements in Intensive Care, v0.1 - Intensivdaten

- 2017-03-15 - 1 Formulär, 13 Item-grupper, 65 Dataelement, 1 Språk
Item-grupper: Allgemeine Daten, Diagnosen, Prozeduren, SAPS2, Atmung und Beatmung, Labordaten, Monitoring/klinische Befunde, Blut und Blutprodukte , Medikamente und Flüssigkeit, Mikrobiologie Keime und Resistenz, Schichtberichte, Radiologiebefunde, CAM-ICU
Common Data Elements in Intensive Care; first version as basis for collaborative curation (initially focussed on research on ARDS). Permission granted by Prof. Dr. N. Weiler, University Kiel, Germany.

DIVI Kerndatensatz Intensivmedizin 2010 - Entlassung von der Intensivtherapiestation

- 2020-03-19 - 5 Formulär, 2 Item-grupper, 16 Dataelement, 1 Språk
Item-grupper: DNR (do not resuscitate) / AND (allowed natural death), Procedures and complications
Kerndatensatz Intensivmedizin 2010 der DIVI und DGAI (nur patientenbezogene Daten, ohne Strukturdaten der Intensivtherapiestation und der Klinik ). Deutsche interdisziplinaere Vereinigung fuer Intensiv und Notfallmedizin DIVI (German interdisciplinary association for intensive and emergeny medical care), http://www.divi.de/images/Dokumente/Empfehlungen/Strukturempfehlungen/2010_KerndatensatzIntensivmedizin.pdf

Strukturdaten

1 Item-grupp 28 Dataelement

Aufnahmestatus

2 Item-grupper 37 Dataelement

Entlassung aus dem Krankenhaus

1 Item-grupp 2 Dataelement

Tägliche Datenerhebung

2 Item-grupper 25 Dataelement

MPM II - Admission

- 2018-01-28 - 1 Formulär, 5 Item-grupper, 17 Dataelement, 1 Språk
Item-grupper: Physiology, Chronic diagnoses, Acute diagnoses, Other, Probabilitiy of hospital mortality
The Mortality Probability Model (MPM II) System Admission Model (MPM0) estimates the probabaility of hospital mortality at admission in the intensive care unit. Reference: Lemeshow, S., Teres, D., Klar, J., Avrunin, J. S., Gehlbach, S. H., & Rapoport, J. (1993). Mortality Probability Models (MPM II) based on an international cohort of intensive care unit patients. Jama, 270(20), 2478-2486.

Logistic Organ Dysfunction System (LODS) score

- 2018-01-25 - 1 Formulär, 7 Item-grupper, 19 Dataelement, 1 Språk
Item-grupper: Neurologic System, Cardiovascular System, Renal System, Pulmonary System, Hematologic System, Hepatic System, total score
The LOD System provides an objective tool for assessing severity levels for organ dysfunction in the ICU, a critical component in the conduct of clinical trials. Reference: Jean-Roger Le Gall, Janelle Klar, Stanley Lemeshow, Fabienne Saulnier, Corinne Alberti, Antonio Artigas, Daniel Teres. The Logistic Organ Dysfunction System: A New Way to Assess Organ Dysfunction in the Intensive Care Unit. JAMA. 1996;276(10):802–810. doi:10.1001/jama.1996.03540100046027

MPM II - 24hrs

- 2018-01-25 - 1 Formulär, 3 Item-grupper, 14 Dataelement, 1 Språk
Item-grupper: Variables Ascertained at Admission, 24-h Assessments, Probabilitiy of hospital mortality
The MPM II - 24hrs estimates the probabaility of hospital mortality at 24 hours in the intensive care unit. Reference: Lemeshow, S., Teres, D., Klar, J., Avrunin, J. S., Gehlbach, S. H., & Rapoport, J. (1993). Mortality Probability Models (MPM II) based on an international cohort of intensive care unit patients. Jama, 270(20), 2478-2486.

MPM II (at 24, 48, and 72 hrs)

- 2018-01-25 - 1 Formulär, 3 Item-grupper, 17 Dataelement, 1 Språk
Item-grupper: Variables Ascertained at Admission, 24-Hr Interval Assessments, Probabilities of hospital mortality
The MPM II estimates the probabaility of hospital mortality at 24, 48, and 72 hours in the intensive care unit. Reference: Lemeshow, S., Klar, J., Teres, D., Avrunin, J. S., Gehlbach, S. H., Rapoport, J., & Rué, M. (1994). Mortality probability models for patients in the intensive care unit for 48 or 72 hours: a prospective, multicenter study. Critical care medicine, 22(9), 1351-1358.

APACHE II

- 2018-01-25 - 1 Formulär, 4 Item-grupper, 20 Dataelement, 1 Språk
Item-grupper: Acute Physiology Score, Age score, Chronic Health score, total score
APACHE II is a severity of disease classification system. It uses a point score based upon initial values of 12 routine physiologic measurements, age, and previous health status to provide a general measure of severity of disease. When APACHE II scores are combined with an accurate description of disease, they can prognostically stratify acutely ill patients and assist investigators comparing the success of new or differing forms of therapy. This scoring index can be used to evaluate the use of hospital resources and compare the efficacy of intensive care in different hospitals or over time. Reference: Knaus, W. A., Draper, E. A., Wagner, D. P., & Zimmerman, J. E. (1985). APACHE II: a severity of disease classification system. Critical care medicine, 13(10), 818-829.

Stability and Workload Index for Transfer (SWIFT) score

- 2018-01-25 - 1 Formulär, 1 Item-grupp, 6 Dataelement, 1 Språk
Item-grupp: SWIFT score
"The Stability and Workload Index for Transfer score is derived from information readily available at the time of ICU dismissal and acceptably predicts ICU readmission. Reference: Gajic, O., Malinchoc, M., Comfere, T. B., Harris, M. R., Achouiti, A., Yilmaz, M., ... & Farmer, J. C. (2008). The Stability and Workload Index for Transfer score predicts unplanned intensive care unit patient readmission: initial development and validation. Critical care medicine, 36(3), 676-682. Publication granted by Ognjen Gajic.

CHA2DS2-VASc score - Oxygenation Index

- 2018-01-25 - 1 Formulär, 1 Item-grupp, 4 Dataelement, 1 Språk
Item-grupp: Oxygenation Index
The CHA2DS2-VASc is a simple stroke risk stratification schema for patients with atrial fibrillation which is based on a risk factor approach and provides some improvement in predictive value for TE over the CHADS 2 schema. Reference: Lip, G. Y., Nieuwlaat, R., Pisters, R., Lane, D. A., & Crijns, H. J. (2010). Refining clinical risk stratification for predicting stroke and thromboembolism in atrial fibrillation using a novel risk factor-based approach: the euro heart survey on atrial fibrillation. Chest Journal, 137(2), 263-272.

Multiple Organ Dysfunction (MOD) Score

- 2018-01-25 - 1 Formulär, 1 Item-grupp, 7 Dataelement, 1 Språk
Item-grupp: MOD score
The most common cause of ICU morbidity and mortality is the development of progressive physiologic dysfunction in organ systems remote from the site of the primary disease process, a phenomenon described as multiple organ dysfunction syndrome. The MOD score was developed as a prototype measure that would optimally reflect the extent and severity of the multiple organ dysfunction syndrome as an outcome in critical illness, based on the model proposed by the American College of Chest Physicians/Society of Critical Care Medicine consensus conference on definitions of sepsis and multiple organ failure. Marshall, John C., et al. "Multiple organ dysfunction score: a reliable descriptor of a complex clinical outcome." Critical care medicine 23.10 (1995): 1638-1652.

Lung Injury Score (LIS)

- 2017-12-30 - 1 Formulär, 1 Item-grupp, 5 Dataelement, 1 Språk
Item-grupp: Lung Injury Score
The Lung Injury Score (LIS), proposed in 1988 by Murray and colleagues, has become a standard measure of Acute Respiratory Distress Syndrome (ARDS). Reference: Murray, J. F., Matthay, M. A., Luce, J. M., & Flick, M. R. (1988). An expanded definition of the adult respiratory distress syndrome. Am Rev Respir Dis, 138(3), 720-723. Kangelaris, K. N., Calfee, C. S., May, A. K., Zhuo, H., Matthay, M. A., & Ware, L. B. (2014). Is there still a role for the lung injury score in the era of the Berlin definition ARDS?. Annals of intensive care, 4(1), 4.

University Hospital Essen IKL-Data for intensive care stay

- 2017-01-18 - 1 Formulär, 1 Item-grupp, 39 Dataelement, 1 Språk
Item-grupp: Default Itemgroup
Hospital routine documentation models at the University Hospital Essen. Tables were derived from the Medico Information System. Original table name: x2805ida

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