Comorbidities and COVID-19 hospitalization, ICU admission and hospital mortality in Austria A retrospective cohort study

被引:9
作者
Rainer, Lukas [1 ]
Bachner, Florian [1 ]
Eglau, Karin [1 ]
Ostermann, Herwig [1 ,2 ]
Siebert, Uwe [2 ,3 ,4 ,5 ,6 ]
Zuba, Martin [1 ]
机构
[1] Osterreich GmbH, Austrian Natl Publ Hlth Inst Gesundheit, Stubenring 6, A-1010 Vienna, Austria
[2] UMIT Univ Hlth Sci Med Informat & Technol, Dept Publ Hlth Hlth Serv Res & Hlth Technol Asses, Inst Publ Hlth Med Decis Making & Hlth Technol As, Eduard Wallnoefer Zentrum 1, A-6060 Hall In Tirol, Austria
[3] Harvard Med Sch, Massachusetts Gen Hosp, Inst Technol Assessment, 101 Merrimac St, Boston, MA 02114 USA
[4] Harvard Med Sch, Massachusetts Gen Hosp, Dept Radiol, 101 Merrimac St, Boston, MA 02114 USA
[5] Harvard TH Chan Sch Publ Hlth, Ctr Hlth Decis Sci, Dept Epidemiol, 718 Huntington Ave, Boston, MA 02115 USA
[6] Harvard TH Chan Sch Publ Hlth, Ctr Hlth Decis Sci, Dept Hlth Policy & Management, 718 Huntington Ave, Boston, MA 02115 USA
关键词
Epidemiology; Risk factors; Underlying conditions; Sex differences; Charlson comorbidity index;
D O I
10.1007/s00508-022-02036-9
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background The protection of vulnerable populations is a central task in managing the Coronavirus disease 2019 (COVID-19) pandemic to avoid severe courses of COVID-19 and the risk of healthcare system capacity being exceeded. To identify factors of vulnerability in Austria, we assessed the impact of comorbidities on COVID-19 hospitalization, intensive care unit (ICU) admission, and hospital mortality. Methods A retrospective cohort study was performed including all patients with COVID-19 in the period February 2020 to December 2021 who had a previous inpatient stay in the period 2015-2019 in Austria. All patients with COVID-19 were matched to population controls on age, sex, and healthcare region. Multiple logistic regression was used to estimate adjusted odds ratios (OR) of included factors with 95% confidence intervals (CI). Results Hemiplegia or paraplegia constitutes the highest risk factor for hospitalization (OR 1.61, 95% CI 1.44-1.79), followed by COPD (OR 1.48, 95% CI 1.43-1.53) and diabetes without complications (OR 1.41, 95% CI 1.37-1.46). The highest risk factors for ICU admission are renal diseases (OR 1.76, 95% CI 1.61-1.92), diabetes without complications (OR 1.57, 95% CI 1.46-1.69) and COPD (OR 1.53, 95% CI 1.41-1.66). Hemiplegia or paraplegia, renal disease and COPD constitute the highest risk factors for hospital mortality, with ORs of 1.5. Diabetes without complications constitutes a significantly higher risk factor for women with respect to all three endpoints. Conclusion We contribute to the literature by identifying sex-specific risk factors. In general, our results are consistent with the literature, particularly regarding diabetes as a risk factor for severe courses of COVID-19. Due to the observational nature of our data, caution is warranted regarding causal interpretation. Our results contribute to the protection of vulnerable populations and may be used for targeting further pharmaceutical interventions.
引用
收藏
页码:856 / 867
页数:12
相关论文
共 20 条
[1]   Effect of anticholinergic burden on treatment modification, delirium and mortality in newly diagnosed dementia patients starting a cholinesterase inhibitor: A population-based study [J].
Ah, Young-Mi ;
Suh, Yewon ;
Jun, Kwanghee ;
Hwang, Sunghee ;
Lee, Ju-Yeun .
BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2019, 124 (06) :741-748
[2]   The swedish covid-19 intensive care cohort: Risk factors of ICU admission and ICU mortality [J].
Ahlstrom, Bjorn ;
Frithiof, Robert ;
Hultstrom, Michael ;
Larsson, Ing-Marie ;
Strandberg, Gunnar ;
Lipcsey, Miklos .
ACTA ANAESTHESIOLOGICA SCANDINAVICA, 2021, 65 (04) :525-533
[3]  
Bachner F., 2018, Austria: Health System Review
[4]   Underlying conditions and risk of hospitalisation, ICU admission and mortality among those with COVID-19 in Ireland: A national surveillance study [J].
Bennett, Kathleen E. ;
Mullooly, Maeve ;
O'Loughlin, Mark ;
Fitzgerald, Margaret ;
O'Donnell, Joan ;
O'Connor, Lois ;
Oza, Ajay ;
Cuddihy, John .
LANCET REGIONAL HEALTH-EUROPE, 2021, 5
[5]  
BMSGPK, 2022, DIAGN LEIST BUND SOZ
[6]   A NEW METHOD OF CLASSIFYING PROGNOSTIC CO-MORBIDITY IN LONGITUDINAL-STUDIES - DEVELOPMENT AND VALIDATION [J].
CHARLSON, ME ;
POMPEI, P ;
ALES, KL ;
MACKENZIE, CR .
JOURNAL OF CHRONIC DISEASES, 1987, 40 (05) :373-383
[7]   Impact of comorbidity burden on mortality in patients with COVID-19 using the Korean health insurance database [J].
Cho, Soo Ick ;
Yoon, Susie ;
Lee, Ho-Jin .
SCIENTIFIC REPORTS, 2021, 11 (01)
[8]  
Decade of Roma Inclusion Secretariat Foundation, 2014, STAT JB ERN LANDW FO, P1
[9]  
EMS, 2022, EP MELD
[10]   Collider bias undermines our understanding of COVID-19 disease risk and severity [J].
Griffith, Gareth J. ;
Morris, Tim T. ;
Tudball, Matthew J. ;
Herbert, Annie ;
Mancano, Giulia ;
Pike, Lindsey ;
Sharp, Gemma C. ;
Sterne, Jonathan ;
Palmer, Tom M. ;
Smith, George Davey ;
Tilling, Kate ;
Zuccolo, Luisa ;
Davies, Neil M. ;
Hemani, Gibran .
NATURE COMMUNICATIONS, 2020, 11 (01)