Survival among people hospitalized with COVID-19 in Switzerland: a nationwide population-based analysis

被引:9
作者
Anderegg, Nanina [1 ,2 ]
Panczak, Radoslaw [1 ]
Egger, Matthias [1 ,3 ,4 ]
Low, Nicola [1 ]
Riou, Julien [1 ,2 ]
机构
[1] Univ Bern, Inst Social & Prevent Med, Bern, Switzerland
[2] Fed Off Publ Hlth, Bern, Switzerland
[3] Univ Cape Town, Ctr Infect Dis Epidemiol & Res, Fac Hlth Sci, Cape Town, South Africa
[4] Univ Bristol, Bristol Med Sch, Populat Hlth Sci, Bristol, Avon, England
基金
瑞士国家科学基金会;
关键词
COVID-19; Survival; SARS-CoV-2; Intensive care unit; SEX-DIFFERENCES; RISK-FACTOR; MORTALITY; DEATH;
D O I
10.1186/s12916-022-02364-7
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background Increasing age, male sex, and pre-existing comorbidities are associated with lower survival from SARS-CoV-2 infection. The interplay between different comorbidities, age, and sex is not fully understood, and it remains unclear if survival decreases linearly with higher ICU occupancy or if there is a threshold beyond which survival falls. Method This national population-based study included 22,648 people who tested positive for SARS-CoV-2 infection and were hospitalized in Switzerland between February 24, 2020, and March 01, 2021. Bayesian survival models were used to estimate survival after positive SARS-CoV-2 test among people hospitalized with COVID-19 by epidemic wave, age, sex, comorbidities, and ICU occupancy. Two-way interactions between age, sex, and comorbidities were included to assess the differential risk of death across strata. ICU occupancy was modeled using restricted cubic splines to allow for a non-linear association with survival. Results Of 22,648 people hospitalized with COVID-19, 4785 (21.1%) died. The survival was lower during the first epidemic wave than in the second (predicted survival at 40 days after positive test 76.1 versus 80.5%). During the second epidemic wave, occupancy among all available ICU beds in Switzerland varied between 51.7 and 78.8%. The estimated survival was stable at approximately 81.5% when ICU occupancy was below 70%, but worse when ICU occupancy exceeded this threshold (survival at 80% ICU occupancy: 78.2%; 95% credible interval [CrI] 76.1 to 80.1%). Periods with higher ICU occupancy (>70 vs 70%) were associated with an estimated number of 137 (95% CrI 27 to 242) excess deaths. Comorbid conditions reduced survival more in younger people than in older people. Among comorbid conditions, hypertension and obesity were not associated with poorer survival. Hypertension appeared to decrease survival in combination with cardiovascular disease. Conclusions Survival after hospitalization with COVID-19 has improved over time, consistent with improved management of severe COVID-19. The decreased survival above 70% national ICU occupancy supports the need to introduce measures for prevention and control of SARS-CoV-2 transmission in the population well before ICUs are full.
引用
收藏
页数:11
相关论文
共 47 条
  • [1] Body Mass Index and Risk for Intubation or Death in SARS-CoV-2 Infection A Retrospective Cohort Study
    Anderson, Michaela R.
    Geleris, Joshua
    Anderson, David R.
    Zucker, Jason
    Nobel, Yael R.
    Freedberg, Daniel
    Small-Saunders, Jennifer
    Rajagopalan, Kartik N.
    Greendyk, Richard
    Chae, Sae-Rom
    Natarajan, Karthik
    Roh, David
    Edwin, Ethan
    Gallagher, Dympna
    Podolanczuk, Anna
    Barr, R. Graham
    Ferrante, Anthony W.
    Baldwin, Matthew R.
    [J]. ANNALS OF INTERNAL MEDICINE, 2020, 173 (10) : 782 - +
  • [2] Association between pre-existing respiratory disease and its treatment, and severe COVID-19: a population cohort study
    Aveyard, Paul
    Gao, Min
    Lindson, Nicola
    Hartmann-Boyce, Jamie
    Watkinson, Peter
    Young, Duncan
    Coupland, Carol A. C.
    San Tan, Pui
    Clift, Ashley K.
    Harrison, David
    Gould, Doug W.
    Pavord, Ian
    Hippisley-Cox, Julia
    [J]. LANCET RESPIRATORY MEDICINE, 2021, 9 (08) : 909 - 923
  • [3] Impact of age, sex, comorbidities and clinical symptoms on the severity of COVID-19 cases: A meta-analysis with 55 studies and 10014 cases
    Barek, Md. Abdul
    Aziz, Md. Abdul
    Islam, Mohammad Safiqul
    [J]. HELIYON, 2020, 6 (12)
  • [4] Associations of type 1 and type 2 diabetes with COVID-19-related mortality in England: a whole-population study
    Barron, Emma
    Bakhai, Chirag
    Kar, Partha
    Weaver, Andy
    Bradley, Dominique
    Ismail, Hassan
    Knighton, Peter
    Holman, Naomi
    Khunti, Kamlesh
    Sattar, Naveed
    Wareham, Nicholas J.
    Young, Bob
    Valabhji, Jonathan
    [J]. LANCET DIABETES & ENDOCRINOLOGY, 2020, 8 (10) : 813 - 822
  • [5] Systemic steroids in patients with COVID-19: pros and contras, an endocrinological point of view
    Berton, A. M.
    Prencipe, N.
    Giordano, R.
    Ghigo, E.
    Grottoli, S.
    [J]. JOURNAL OF ENDOCRINOLOGICAL INVESTIGATION, 2021, 44 (04) : 873 - 875
  • [6] Risk Factors for Coronavirus Disease 2019 (COVID-19) Death in a Population Cohort Study from the Western Cape Province, South Africa
    Boulle, Andrew
    Davies, Mary-Ann
    Hussey, Hannah
    Ismail, Muzzammil
    Morden, Erna
    Vundle, Ziyanda
    Zweigenthal, Virginia
    Mahomed, Hassan
    Paleker, Masudah
    Pienaar, David
    Tembo, Yamanya
    Lawrence, Charlene
    Isaacs, Washiefa
    Mathema, Hlengani
    Allen, Derick
    Allie, Taryn
    Bam, Jamy-Lee
    Buddiga, Kasturi
    Dane, Pierre
    Heekes, Alexa
    Matlapeng, Boitumelo
    Mutemaringa, Themba
    Muzarabani, Luckmore
    Phelanyane, Florence
    Pienaar, Rory
    Rode, Catherine
    Smith, Mariette
    Tiffin, Nicki
    Zinyakatira, Nesbert
    Cragg, Carol
    Marais, Frederick
    Mudaly, Vanessa
    Voget, Jacqueline
    Davids, Jody
    Roodt, Francois
    Smit, Nellis van Zyl
    Vermeulen, Alda
    Adams, Kevin
    Audley, Gordon
    Bateman, Kathleen
    Beckwith, Peter
    Bernon, Marc
    Blom, Dirk
    Boloko, Linda
    Botha, Jean
    Boutall, Adam
    Burmeister, Sean
    Cairncross, Lydia
    Calligaro, Gregory
    Coccia, Cecilia
    [J]. CLINICAL INFECTIOUS DISEASES, 2021, 73 (07) : E2005 - E2015
  • [7] Brilleman S., 2020, Bayesian survival analysis using the rstanarm R package
  • [8] Brilleman SL, 2020, BAYESIAN SURVIVAL AN, DOI [10.48550/arxiv.2002.09633, DOI 10.48550/ARXIV.2002.09633]
  • [9] CoV-Spectrum: analysis of globally shared SARS-CoV-2 data to identify and characterize new variants
    Chen, Chaoran
    Nadeau, Sarah
    Yared, Michael
    Voinov, Philippe
    Xie, Ning
    Roemer, Cornelius
    Stadler, Tanja
    [J]. BIOINFORMATICS, 2022, 38 (06) : 1735 - 1737
  • [10] Methylprednisolone in adults hospitalized with COVID-19 pneumonia An open-label randomized trial (GLUCOCOVID)
    Corral-Gudino, Luis
    Bahamonde, Alberto
    Arnaiz-Revillas, Francisco
    Gomez-Barquero, Julia
    Abadia-Otero, Jesica
    Garcia-Ibarbia, Carmen
    Mora, Victor
    Cerezo-Hernandez, Ana
    Hernandez, Jose L.
    Lopez-Muniz, Graciela
    Hernandez-Blanco, Fernando
    Cifrian, Jose M.
    Olmos, Jose M.
    Carrascosa, Miguel
    Nieto, Luis
    Farinas, Maria Carmen
    Riancho, Jose A.
    [J]. WIENER KLINISCHE WOCHENSCHRIFT, 2021, 133 (7-8) : 303 - 311