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FältnamnIndikatorerMetadata
00006088naa a2200649 4500
001oai:DiVA.org:hb-29225
003SwePub
008230111s2022 | |||||||||||000 ||eng|
009oai:DiVA.org:uu-494717
009oai:gup.ub.gu.se/323632
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-292252 URI
0247 a https://doi.org/10.1186/s12873-022-00739-w2 DOI
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-4947172 URI
0247 a https://gup.ub.gu.se/publication/3236322 URI
040 a (SwePub)hbd (SwePub)uud (SwePub)gu
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
1001 a Adielsson, Annau Department of Anaesthesiology and Intensive Care Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden,Sahlgrens Univ Hosp, Dept Anaesthesiol & Intens Care Med, Gothenburg, Sweden.4 aut
2451 0a Outcome prediction for patients assessed by the medical emergency team :b a retrospective cohort study
264 c 2022-12-09
264 1b Springer Science and Business Media LLC,c 2022
338 a print2 rdacarrier
520 a Background: Medical emergency teams (METs) have been implemented to reduce hospital mortality by the early recognition and treatment of potentially life-threatening conditions. The objective of this study was to establish a clinically useful association between clinical variables and mortality risk, among patients assessed by the MET, and further to design an easy-to-use risk score for the prediction of death within 30 days.Methods: Observational retrospective register study in a tertiary university hospital in Sweden, comprising 2,601 patients, assessed by the MET from 2010 to 2015. Patient registry data at the time of MET assessment was analysed from an epidemiological perspective, using univariable and multivariable analyses with death within 30 days as the outcome variable. Predictors of outcome were defined from age, gender, type of ward for admittance, previous medical history, acute medical condition, vital parameters and laboratory biomarkers. Identified factors independently associated with mortality were then used to develop a prognostic risk score for mortality.Results: The overall 30-day mortality was high (29.0%). We identified thirteen factors independently associated with 30-day mortality concerning; age, type of ward for admittance, vital parameters, laboratory biomarkers, previous medical history and acute medical condition. A MET risk score for mortality based on the impact of these individual thirteen factors in the model yielded a median (range) AUC of 0.780 (0.774-0.785) with good calibration. When corrected for optimism by internal validation, the score yielded a median (range) AUC of 0.768 (0.762-0.773).Conclusions: Among clinical variables available at the time of MET assessment, thirteen factors were found to be independently associated with 30-day mortality. By applying a simple risk scoring system based on these individual factors, patients at higher risk of dying within 30 days after the MET assessment may be identified and treated earlier in the process. 
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Kardiologi0 (SwePub)302062 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Cardiac and Cardiovascular Systems0 (SwePub)302062 hsv//eng
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Anestesi och intensivvård0 (SwePub)302012 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Anesthesiology and Intensive Care0 (SwePub)302012 hsv//eng
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicin0 (SwePub)3022 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicine0 (SwePub)3022 hsv//eng
653 a Medical emergency team
653 a Mortality
653 a Outcome
653 a Rapid response team
653 a Risk score
653 a Människan i vården
653 a The Human Perspective in Care
653 a Medical emergency team
653 a Mortality
653 a Outcome
653 a Rapid response team
653 a Risk score
7001 a Danielsson, Christianu Department of Clinical Pathology, Sahlgrenska University Hospital, Gothenburg, Sweden,Sahlgrens Univ Hosp, Dept Clin Pathol, Gothenburg, Sweden.4 aut
7001 a Forkman, Pontusu Department of Adult Psychiatry, Mora Hospital, Mora, Sweden,Mora Hosp, Dept Adult Psychiat, Mora, Sweden.4 aut
7001 a Karlsson, Thomas,d 1956u Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för samhällsmedicin och folkhälsa,Institute of Medicine, School of Public Health and Community Medicine4 aut0 (Swepub:gu)xkarth
7001 a Pettersson, Lindau Uppsala universitet,Institutionen för folkhälso- och vårdvetenskap4 aut0 (Swepub:uu)linpe840
7001 a Herlitz, Johan,d 1949-u Högskolan i Borås,Akademin för vård, arbetsliv och välfärd,Univ Coll Borås, Ctr Prehosp Res Western Sweden, Borås, Sweden.4 aut0 (Swepub:hb)JHZ
7001 a Lundin, Stefanu Department of Anaesthesiology and Intensive Care Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden,Sahlgrens Univ Hosp, Dept Anaesthesiol & Intens Care Med, Gothenburg, Sweden.4 aut
7102 a Department of Anaesthesiology and Intensive Care Medicine, Sahlgrenska University Hospital, Gothenburg, Swedenb Sahlgrens Univ Hosp, Dept Anaesthesiol & Intens Care Med, Gothenburg, Sweden.4 org
7730 t BMC Emergency Medicined : Springer Science and Business Media LLCg 22:1q 22:1x 1471-227X
8564 u https://doi.org/10.1186/s12873-022-00739-wy Fulltext
8564 u https://uu.diva-portal.org/smash/get/diva2:1739011/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-29225
8564 8u https://doi.org/10.1186/s12873-022-00739-w
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-494717
8564 8u https://gup.ub.gu.se/publication/323632

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