A practical laboratory index to predict institutionalization and mortality - an 18-year population-based follow-up study

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http://hdl.handle.net/10138/328663

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Heikkilä , E , Salminen , M , Viljanen , A , Katajamäki , T , Koivula , M-K , Pulkki , K , Isoaho , R , Kivelä , S-L , Viitanen , M , Löppönen , M , Vahlberg , T , Viikari , L & Irjala , K 2021 , ' A practical laboratory index to predict institutionalization and mortality - an 18-year population-based follow-up study ' , BMC Geriatrics , vol. 21 , no. 1 , 139 . https://doi.org/10.1186/s12877-021-02077-1

Titel: A practical laboratory index to predict institutionalization and mortality - an 18-year population-based follow-up study
Författare: Heikkilä, Elisa; Salminen, Marika; Viljanen, Anna; Katajamäki, Taina; Koivula, Marja-Kaisa; Pulkki, Kari; Isoaho, Raimo; Kivelä, Sirkka-Liisa; Viitanen, Matti; Löppönen, Minna; Vahlberg, Tero; Viikari, Laura; Irjala, Kerttu
Upphovmannens organisation: Department of Clinical Chemistry and Hematology
Medicum
University of Helsinki
HUSLAB
Divisions of Faculty of Pharmacy
Division of Social Pharmacy
Datum: 2021-02-25
Språk: eng
Sidantal: 6
Tillhör serie: BMC Geriatrics
ISSN: 1471-2318
DOI: https://doi.org/10.1186/s12877-021-02077-1
Permanenta länken (URI): http://hdl.handle.net/10138/328663
Abstrakt: BackgroundPreviously, several indexes based on a large number of clinical and laboratory tests to predict mortality and frailty have been produced. However, there is still a need for an easily applicable screening tool for every-day clinical practice.MethodsA prospective study with 10- and 18-year follow-ups. Fourteen common laboratory tests were combined to an index. Cox regression model was used to analyse the association of the laboratory index with institutionalization and mortality.ResultsThe mean age of the participants (n =1153) was 73.6 (SD 6.8, range 64.0-100.0) years. Altogether, 151 (14.8%) and 305 (29.9%) subjects were institutionalized and 422 (36.6%) and 806 (69.9%) subjects deceased during the 10- and 18-year follow-ups, respectively. Higher LI (laboratory index) scores predicted increased mortality. Mortality rates increased as LI scores increased both in unadjusted and in age- and gender-adjusted models during both follow-ups. The LI did not significantly predict institutionalization either during the 10- or 18-year follow-ups.ConclusionsA practical index based on routine laboratory tests can be used to predict mortality among older people. An LI could be automatically counted from routine laboratory results and thus an easily applicable screening instrument in clinical settings.
Subject: Laboratory index
Institutionalization
Mortality
Aged
3141 Health care science
Referentgranskad: Ja
Licens: cc_by
Användningsbegränsning: openAccess
Parallelpublicerad version: publishedVersion


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