Characteristics of COVID-19 Infection among - Nursing Home Residents – A Cross Sectional Study from Croatia
Autor: | Ivan Jerković, Tina Tičinović Kurir, Maja Mizdrak, Ante Mayer, Ivan Mizdrak |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
medicine.medical_specialty
education.field_of_study COVID-19 koronavirus starački dom stariji smrtnost laboratorijska medicina medicine.diagnostic_test biology Cross-sectional study business.industry Medical record Population Medical laboratory Complete blood count Aspartate transaminase Retrospective cohort study General Medicine Nursing care Arts and Humanities (miscellaneous) Anthropology Internal medicine medicine biology.protein education business coronavirus nursing care home elderly mortality laboratory medicine |
Zdroj: | Collegium antropologicum Volume 44 Issue 4 |
ISSN: | 0350-6134 1848-9486 |
DOI: | 10.5671/ca.44.4.4 |
Popis: | Purpose: Given high risk of infection-related mortality due to impaired immunity, elderly patients are at increased risk with COVID-19. In its diagnostic procedure clinical laboratory medicine has a pivotal role. The aim of this study was to investigate clinical and laboratory specificities in Croatian population of nursing care home residents affected by coronavirus. Materials and Methods: One hundred and six residents of nursing care homes that were hospitalized due to COVID-19 infection, were included in this retrospective study. Clinical and laboratory findings at three time points were extracted from medical records. Results: There were 86 females and 20 males, with median of age 84 (min-max: 47-97) years. Patients were divided into three groups: Survivors (S), patients who are still alive (N=65), In-Hospital Non-Survivors (IHNS), patients who died from coronavirus during hospitalization (N=31) and Out-of-Hospital Non-Survivors (OHNS), patients who recovered from infection but died during the period of three months of the follow-up (N=10). We have established differences between these three groups in laboratory findings (P |
Databáze: | OpenAIRE |
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