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Observational Study
. 2021 Jun 18;16(6):e0253154.
doi: 10.1371/journal.pone.0253154. eCollection 2021.

COVID-19 in persons aged 70+ in an early affected German district: Risk factors, mortality and post-COVID care needs-A retrospective observational study of hospitalized and non-hospitalized patients

Affiliations
Observational Study

COVID-19 in persons aged 70+ in an early affected German district: Risk factors, mortality and post-COVID care needs-A retrospective observational study of hospitalized and non-hospitalized patients

Matthias L Herrmann et al. PLoS One. .

Abstract

Background: Cohorts of hospitalized COVID-19 patients have been studied in several countries since the beginning of the pandemic. So far, there is no complete survey of older patients in a German district that includes both outpatients and inpatients. In this retrospective observational cohort study, we aimed to investigate risk factors, mortality, and functional outcomes of all patients with COVID-19 aged 70 and older living in the district of Tübingen in the southwest of Germany.

Methods: We retrospectively analysed all 256 patients who tested positive for SARS-CoV-2 in one of the earliest affected German districts during the first wave of the disease from February to April 2020. To ensure inclusion of all infected patients, we analysed reported data from the public health department as well as the results of a comprehensive screening intervention in all nursing homes of the district (n = 1169). Furthermore, we examined clinical data of all hospitalized patients with COVID-19 (n = 109).

Results: The all-cause mortality was 18%. Screening in nursing homes showed a point-prevalence of 4.6%. 39% of residents showed no COVID-specific symptoms according to the official definition at that time. The most important predictors of mortality were the need for inpatient treatment (odds ratio (OR): 3.95 [95%-confidence interval (CI): 2.00-7.86], p<0.001) and care needs before infection (non-hospitalized patients: OR: 3.79 [95%-CI: 1.01-14.27], p = 0.037, hospitalized patients: OR: 2.89 [95%-CI 1.21-6.92], p = 0.015). Newly emerged care needs were a relevant complication of COVID-19: 27% of previously self-sufficient patients who survived the disease were not able to return to their home environment after discharge from the hospital.

Conclusion: Our findings demonstrate the importance of a differentiated view of risk groups and long-term effects within the older population. These findings should be included in the political and social debate during the ongoing pandemic to evaluate the true effect of COVID-19 on healthcare systems and individual functional status.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Results of a comprehensive screening intervention in the district’s nursing homes in April 2020.
Fig 2
Fig 2. Factors associated with mortality.
CHAID analysis including age (≤ 80 years/ >80 years), sex, pre-COVID-care needs (self-sufficient / with support from nursing service or nursing home), and type of treatment (inpatient / outpatient).
Fig 3
Fig 3. Care needs of previously self-care patients after inpatient treatment of COVID-19 (n = 59).

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References

    1. Robert Koch Institute. Dashboard Coronavirus SARS-CoV-2. [Cited 2020 Sept 27]. Available from: https://experience.arcgis.com/experience/478220a4c454480e823b17327b2bf1d...
    1. Karagiannidis C, Mostert C, Hentschker C, Voshaar T, Malzahn J, Schillinger G, et al.. Case characteristics, resource use, and outcomes of 10 021 patients with COVID-19 admitted to 920 German hospitals: an observational study. Lancet Respir Med. 2020;8(9):853–62. Epub 2020/08/01. doi: 10.1016/S2213-2600(20)30316-7 PubMed Central PMCID: PMC7386882. - DOI - PMC - PubMed
    1. World Health Organization. WHO coronavirus disease (COVID-19) dashboard. [Cited 2020 Sept 29]. Available from: https://covid19.who.int/.
    1. Tolksdorf K, Buda S, Schuler E, Wieler LH, Haas W. Eine höhere Letalität und lange Beatmungsdauer unterscheiden COVID-19 von schwer verlaufenden Atemwegsinfektionen in Grippewellen. 2020;(41):3–10. 10.25646/7111. - DOI
    1. Wu Z, McGoogan JM. Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72314 Cases From the Chinese Center for Disease Control and Prevention. JAMA. 2020;323(13):1239–42. Epub 2020/02/25. doi: 10.1001/jama.2020.2648 . - DOI - PubMed

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