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Mortality Predictio...
Mortality Prediction After Cardiac Surgery: Higgins’ Intensive Care Unit Admission Score Revisited
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- Engerström, Lars (författare)
- Linköpings universitet,Institutionen för hälsa, medicin och vård,Medicinska fakulteten,Region Östergötland, Thorax-kärlkliniken i Östergötland,Region Östergötland, Anestesi- och intensivvårdskliniken VIN
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- Freter, Wolfgang (författare)
- Linköpings universitet,Institutionen för hälsa, medicin och vård,Medicinska fakulteten,Region Östergötland, Thorax-kärlkliniken i Östergötland
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- Sellgren, Johan, 1953 (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för anestesiologi och intensivvård,Institute of Clinical Sciences, Department of Anesthesiology and Intensive care,Sahlgrenska University Hospital, Gothenburg, Sweden; Gothenburg University, Sweden
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- Sjöberg, Folke, 1956- (författare)
- Linköpings universitet,Avdelningen för kirurgi, ortopedi och onkologi,Medicinska fakulteten,Region Östergötland, Hand- och plastikkirurgiska kliniken US,Region Östergötland, ANOPIVA US
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- Fredrikson, Mats, 1957- (författare)
- Linköpings universitet,Avdelningen för inflammation och infektion,Forum Östergötland,Region Östergötland, Arbets- och miljömedicin
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- Walther, Sten M. (författare)
- Linköpings universitet,Avdelningen för diagnostik och specialistmedicin,Medicinska fakulteten,Region Östergötland, Thorax-kärlkliniken i Östergötland
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(creator_code:org_t)
- Elsevier BV, 2020
- 2020
- Engelska.
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Ingår i: Annals of Thoracic Surgery. - : Elsevier BV. - 0003-4975 .- 1552-6259. ; 110:5, s. 1589-1594
- Relaterad länk:
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https://gup.ub.gu.se...
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https://doi.org/10.1...
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- Background: This study was performed to develop and validate a cardiac surgical intensive care risk adjustment model for mixed cardiac surgery based on a few preoperative laboratory tests, extracorporeal circulation time, and measurements at arrival to the intensive care unit. Methods: This was a retrospective study of admissions to 5 cardiac surgical intensive care units in Sweden that submitted data to the Swedish Intensive Care Registry. Admissions from 2008 to 2014 (n = 21,450) were used for model development, whereas admissions from 2015 to 2016 (n = 6463) were used for validation. Models were built using logistic regression with transformation of raw values or categorization into groups. Results: The final model showed good performance, with an area under the receiver operating characteristics curve of 0.86 (95% confidence interval, 0.83-0.89), a Cox calibration intercept of –0.16 (95% confidence interval, –0.47 to 0.19), and a slope of 1.01 (95% confidence interval, 0.89-1.13) in the validation cohort. Conclusions: Eleven variables available on admission to the intensive care unit can be used to predict 30-day mortality after cardiac surgery. The model performance was better than those of general intensive care risk adjustment models used in cardiac surgical intensive care and also avoided the subjective assessment of the cause of admission. The standardized mortality ratio improves over time in Swedish cardiac surgical intensive care. © 2020
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Kirurgi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Surgery (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Kardiologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Cardiac and Cardiovascular Systems (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinsk bioteknologi -- Biomedicinsk laboratorievetenskap/teknologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Medical Biotechnology -- Biomedical Laboratory Science/Technology (hsv//eng)
Nyckelord
- article
- calibration
- cardiac surgery intensive care unit
- cohort analysis
- controlled study
- extracorporeal circulation
- human
- laboratory test
- major clinical study
- prediction
- preoperative evaluation
- receiver operating characteristic
- retrospective study
- risk assessment
- standardized mortality ratio
- Sweden
- validation process
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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