Clinical characteristics of patients hospitalized for COVID-19: comparison between different age groups.

COVID-19 Mortality rate Prognostic scores Respiratory failure

Journal

BMC geriatrics
ISSN: 1471-2318
Titre abrégé: BMC Geriatr
Pays: England
ID NLM: 100968548

Informations de publication

Date de publication:
11 Jan 2024
Historique:
received: 03 10 2023
accepted: 19 12 2023
medline: 12 1 2024
pubmed: 12 1 2024
entrez: 11 1 2024
Statut: epublish

Résumé

To test whether known prognosticators of COVID-19 maintained their stratification ability across age groups. We performed a retrospective study. We included all patients (n = 2225), who presented to the Emergency Department of the Careggi University Hospital for COVID-19 in the period February 2020-May 2021, and were admitted to the hospital. The following parameters were analyzed as dichotomized: 1) SpO By the univariate analysis, the aforementioned dichotomized variables demonstrated a significant association with in-hospital mortality in all subgroups. We introduced them in a multivariate model: in G1 SpO2/FiO2 ≤ 214 (Relative Risk, RR 15.66; 95%CI 3.98-61,74), in G2 creatinine ≥ 1.1 mg/L (RR 2.87, 95%CI 1.30-6.32) and LDH ≥ 250 UI/L (RR 8.71, 95%CI 1,15-65,70), in G3 creatinine ≥ 1.1 mg/L (RR 1.98, 95%CI 1,17-3.36) and CRP ≥ 60 ng/L (RR 2.14, 95%CI 1.23-3.71), in G4 SpO A mild to moderate respiratory failure showed an independent association with an increased mortality rate only in youngest and oldest patients, while kidney disease maintained a prognostic role regardless of age.

Sections du résumé

BACKGROUND BACKGROUND
To test whether known prognosticators of COVID-19 maintained their stratification ability across age groups.
METHODS METHODS
We performed a retrospective study. We included all patients (n = 2225), who presented to the Emergency Department of the Careggi University Hospital for COVID-19 in the period February 2020-May 2021, and were admitted to the hospital. The following parameters were analyzed as dichotomized: 1) SpO
RESULTS RESULTS
By the univariate analysis, the aforementioned dichotomized variables demonstrated a significant association with in-hospital mortality in all subgroups. We introduced them in a multivariate model: in G1 SpO2/FiO2 ≤ 214 (Relative Risk, RR 15.66; 95%CI 3.98-61,74), in G2 creatinine ≥ 1.1 mg/L (RR 2.87, 95%CI 1.30-6.32) and LDH ≥ 250 UI/L (RR 8.71, 95%CI 1,15-65,70), in G3 creatinine ≥ 1.1 mg/L (RR 1.98, 95%CI 1,17-3.36) and CRP ≥ 60 ng/L (RR 2.14, 95%CI 1.23-3.71), in G4 SpO
CONCLUSIONS CONCLUSIONS
A mild to moderate respiratory failure showed an independent association with an increased mortality rate only in youngest and oldest patients, while kidney disease maintained a prognostic role regardless of age.

Identifiants

pubmed: 38212683
doi: 10.1186/s12877-023-04626-2
pii: 10.1186/s12877-023-04626-2
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

51

Informations de copyright

© 2024. The Author(s).

Références

Grasselli G, Zangrillo A, Zanella A, Antonelli M, Cabrini L, Castelli A, et al. Baseline characteristics and outcomes of 1591 patients infected with SARS-CoV-2 admitted to ICUs of the Lombardy Region. Italy JAMA. 2020. https://doi.org/10.1001/jama.2020.5394 .
doi: 10.1001/jama.2020.5394 pubmed: 32250385
Myers LC, Parodi SM, Escobar GJ, Liu VX. Characteristics of hospitalized adults with COVID-19 in an Integrated Health Care System in California. JAMA. 2020;323:2195–8. https://doi.org/10.1001/jama.2020.7202 .
doi: 10.1001/jama.2020.7202 pubmed: 32329797 pmcid: 7182961
Lynch SM, Guo G, Gibson DS, Bjourson AJ, Rai TS. Role of senescence and aging in SARS-CoV-2 infection and COVID-19 disease. Cells. 2021;10(12):3367. https://doi.org/10.3390/cells10123367 .
doi: 10.3390/cells10123367 pubmed: 34943875 pmcid: 8699414
Martin-Sanchez FJ, del Toro E, Cardassay E, Carbo AV, Cuesta F, Vigara M, et al. Clinical presentation and outcome across age categories among patients with COVID-19 admitted to a Spanish Emergency Department. Eur Geriatr Med. 2020;11(5):829–41. https://doi.org/10.1007/s41999-020-00359-2 .
doi: 10.1007/s41999-020-00359-2 pubmed: 32671732 pmcid: 7363499
Ge E, Li Y, Wu S, Candido E, Wei X. Association of pre-existing comorbidities with mortality and disease severity among 167,500 individuals with COVID-19 in Canada: a population-based cohort study. PLoS One. 2021;16(10):e0258154. https://doi.org/10.1371/journal.pone.0258154 .
doi: 10.1371/journal.pone.0258154 pubmed: 34610047 pmcid: 8491945
Rahman S, Montero MTV, Rowe K, Kirton R, Kunik F Jr. Epidemiology, pathogenesis, clinical presentations, diagnosis and treatment of COVID-19: a review of current evidence. Expert Rev Clin Pharmacol. 2021;14(5):601–21. https://doi.org/10.1080/17512433.2021.1902303 .
doi: 10.1080/17512433.2021.1902303 pubmed: 33705239
Chen Y, Klein SL, Garibaldi BT, Li H, Wu C, Osevala NM, et al. Aging in COVID-19: Vulnerability, immunity and intervention. Ageing Res Rev. 2021;65:101205. https://doi.org/10.1016/j.arr.2020.101205 .
doi: 10.1016/j.arr.2020.101205 pubmed: 33137510
Smilowitz NR, Kunichoff D, Garshick M, Shah B, Pillinger M, Hochman JS, et al. C-reactive protein and clinical outcomes in patients with COVID-19. Eur Heart J. 2021;42(23):2270–9. https://doi.org/10.1093/eurheartj/ehaa1103 .
doi: 10.1093/eurheartj/ehaa1103 pubmed: 33448289 pmcid: 7928982
Goncalves FAR, Besen B, Lima CA, Cora AP, Pereira AJR, Perazzio SF, et al. Use and misuse of biomarkers and the role of D-dimer and C-reactive protein in the management of COVID-19: a post-hoc analysis of a prospective cohort study. Clinics (Sao Paulo). 2021;76:e3547. https://doi.org/10.6061/clinics/2021/e3547 .
doi: 10.6061/clinics/2021/e3547 pubmed: 34909913
Nakakubo S, Unoki Y, Kitajima K, Terada M, Gatanaga H, Ohmagari N, et al. Serum lactate dehydrogenase level one week after admission is the strongest predictor of prognosis of COVID-19: a large observational study using the COVID-19 registry Japan. Viruses. 2023;15(3):671. https://doi.org/10.3390/v15030671 .
doi: 10.3390/v15030671 pubmed: 36992380 pmcid: 10058713
Pandharipande PP, Shintani AK, Hagerman HE, St Jacques PJ, Rice TW, Sanders NW, et al. Derivation and validation of Spo2/Fio2 ratio to impute for Pao2/Fio2 ratio in the respiratory component of the sequential Organ failure assessment score. Crit Care Med. 2009;37(4):1317–21. https://doi.org/10.1097/CCM.0b013e31819cefa9 .
doi: 10.1097/CCM.0b013e31819cefa9 pubmed: 19242333 pmcid: 3776410
Barek MA, Aziz MA, Islam MS. Impact of age, sex, comorbidities and clinical symptoms on the severity of COVID-19 cases: a meta-analysis with 55 studies and 10014 cases. Heliyon. 2020;6(12):e05684. https://doi.org/10.1016/j.heliyon.2020.e05684 .
doi: 10.1016/j.heliyon.2020.e05684 pubmed: 33344791 pmcid: 7737518
Williamson EJ, Walker AJ, Bhaskaran K, Bacon S, Bates C, Morton CE, et al. Factors associated with COVID-19-related death using OpenSAFELY. Nature. 2020;584(7821):430–6. https://doi.org/10.1038/s41586-020-2521-4 .
doi: 10.1038/s41586-020-2521-4 pubmed: 32640463 pmcid: 7611074
Petrilli CM, Jones SA, Yang J, Rajagopalan H, O’Donnell L, Chernyak Y, et al. Factors associated with hospital admission and critical illness among 5279 people with coronavirus disease 2019 in New York City: prospective cohort study. BMJ. 2020;369:m1966. https://doi.org/10.1136/bmj.m1966 .
doi: 10.1136/bmj.m1966 pubmed: 32444366 pmcid: 7243801
Gallo Marin B, Aghagoli G, Lavine K, Yang L, Siff EJ, Chiang SS, et al. Predictors of COVID-19 severity: a literature review. Rev Med Virol. 2021;31(1):1–10. https://doi.org/10.1002/rmv.2146 .
doi: 10.1002/rmv.2146 pubmed: 32845042
Battaglini D, Lopes-Pacheco M, Castro-Faria-Neto HC, Pelosi P, Rocco PRM. Laboratory biomarkers for diagnosis and prognosis in COVID-19. Front Immunol. 2022;13:857573. https://doi.org/10.3389/fimmu.2022.857573 .
doi: 10.3389/fimmu.2022.857573 pubmed: 35572561 pmcid: 9091347
Malik P, Patel U, Mehta D, Patel N, Kelkar R, Akrmah M, et al. Biomarkers and outcomes of COVID-19 hospitalisations: systematic review and meta-analysis. BMJ Evid Based Med. 2021;26(3):107–8. https://doi.org/10.1136/bmjebm-2020-111536 .
doi: 10.1136/bmjebm-2020-111536 pubmed: 32934000
Milenkovic M, Hadzibegovic A, Kovac M, Jovanovic B, Stanisavljevic J, Djikic M, et al. D-dimer, CRP, PCT, and IL-6 Levels at Admission to ICU Can Predict In-Hospital Mortality in Patients with COVID-19 Pneumonia. Oxid Med Cell Longev. 2022;2022:8997709. https://doi.org/10.1155/2022/8997709 .
doi: 10.1155/2022/8997709 pubmed: 35237386 pmcid: 8884120
Svartengren M, Falk R, Philipson K. Long-term clearance from small airways decreases with age. Eur Respir J. 2005;26(4):609–15. https://doi.org/10.1183/09031936.05.00002105 .
doi: 10.1183/09031936.05.00002105 pubmed: 16204590
Misra V, Lee H, Singh A, Huang K, Thimmulappa RK, Mitzner W, et al. Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes. Physiol Genomics. 2007;31(3):429–40. https://doi.org/10.1152/physiolgenomics.00060.2007 .
doi: 10.1152/physiolgenomics.00060.2007 pubmed: 17726092
Haas RH. Mitochondrial dysfunction in aging and diseases of aging. Biology (Basel). 2019;8(2):48. https://doi.org/10.3390/biology8020048 .
doi: 10.3390/biology8020048 pubmed: 31213034
Cunha LL, Perazzio SF, Azzi J, Cravedi P, Riella LV. Remodeling of the immune response with aging: immunosenescence and its potential impact on COVID-19 immune response. Front Immunol. 2020;11:1748. https://doi.org/10.3389/fimmu.2020.01748 .
doi: 10.3389/fimmu.2020.01748 pubmed: 32849623 pmcid: 7427491
Aksu Y, Uslu AU, Tarhan G, Karagülle M. Predictive value of platelet to lymphocyte ratio and neutrophil to lymphocyte ratio in evaluating both lung involvement and severity of patients with coronavirus disease 2019. Saudi Med J. 2021;42(11):1223–8. https://doi.org/10.15537/smj.2021.42.11.20210485 .
doi: 10.15537/smj.2021.42.11.20210485 pubmed: 34732555 pmcid: 9149732
Xu KQ, Wei YQ, Giunta S, Zhou M, Xia SJ. Do inflammaging and coagul-aging play a role as conditions contributing to the co-occurrence of the severe hyper-inflammatory state and deadly coagulopathy during COVID-19 in older people? Exp Gerontol. 2021;151:111423. https://doi.org/10.1016/j.exger.2021.111423 .
doi: 10.1016/j.exger.2021.111423 pubmed: 34048906 pmcid: 8149167
Meftahi GH, Jangravi Z, Sahraei H, Bahari Z. The possible pathophysiology mechanism of cytokine storm in elderly adults with COVID-19 infection: the contribution of “inflame-aging.” Inflamm Res. 2020;69(9):825–39. https://doi.org/10.1007/s00011-020-01372-8 .
doi: 10.1007/s00011-020-01372-8 pubmed: 32529477 pmcid: 7289226
Shaw AC, Goldstein DR, Montgomery RR. Age-dependent dysregulation of innate immunity. Nat Rev Immunol. 2013;13(12):875–87. https://doi.org/10.1038/nri3547 .
doi: 10.1038/nri3547 pubmed: 24157572 pmcid: 4096436
Nikolich-Zugich J. The twilight of immunity: emerging concepts in aging of the immune system. Nat Immunol. 2018;19(1):10–9. https://doi.org/10.1038/s41590-017-0006-x .
doi: 10.1038/s41590-017-0006-x pubmed: 29242543
Ziegler CGK, Allon SJ, Nyquist SK, Mbano IM, Miao VN, Tzouanas CN, et al. SARS-CoV-2 receptor ACE2 is an interferon-stimulated gene in human airway epithelial cells and is detected in specific cell subsets across tissues. Cell. 2020;181(5):1016-35e19. https://doi.org/10.1016/j.cell.2020.04.035 .
doi: 10.1016/j.cell.2020.04.035 pubmed: 32413319 pmcid: 7252096

Auteurs

Ginevra Fabiani (G)

High-Dependency Unit, Department of Clinical and Experimental Medicine, Careggi University Hospital, Lg. Brambilla 3, 50134, Florence, Italy.

Carolina Cogozzo (C)

High-Dependency Unit, Department of Clinical and Experimental Medicine, Careggi University Hospital, Lg. Brambilla 3, 50134, Florence, Italy.

Anna De Paris (A)

High-Dependency Unit, Department of Clinical and Experimental Medicine, Careggi University Hospital, Lg. Brambilla 3, 50134, Florence, Italy.

Valentina Di Maria (V)

High-Dependency Unit, Department of Clinical and Experimental Medicine, Careggi University Hospital, Lg. Brambilla 3, 50134, Florence, Italy.

Alessia Lagomarsini (A)

High-Dependency Unit, Department of Clinical and Experimental Medicine, Careggi University Hospital, Lg. Brambilla 3, 50134, Florence, Italy.

Olimpia Masotti (O)

High-Dependency Unit, Department of Clinical and Experimental Medicine, Careggi University Hospital, Lg. Brambilla 3, 50134, Florence, Italy.

Simona Matteini (S)

High-Dependency Unit, Department of Clinical and Experimental Medicine, Careggi University Hospital, Lg. Brambilla 3, 50134, Florence, Italy.

Elisa Paolucci (E)

High-Dependency Unit, Department of Clinical and Experimental Medicine, Careggi University Hospital, Lg. Brambilla 3, 50134, Florence, Italy.

Lorenzo Pelagatti (L)

High-Dependency Unit, Department of Clinical and Experimental Medicine, Careggi University Hospital, Lg. Brambilla 3, 50134, Florence, Italy.

Francesco Pepe (F)

High-Dependency Unit, Department of Clinical and Experimental Medicine, Careggi University Hospital, Lg. Brambilla 3, 50134, Florence, Italy.

Maurizio Villanti (M)

High-Dependency Unit, Department of Clinical and Experimental Medicine, Careggi University Hospital, Lg. Brambilla 3, 50134, Florence, Italy.

Francesca Todde (F)

High-Dependency Unit, Department of Clinical and Experimental Medicine, Careggi University Hospital, Lg. Brambilla 3, 50134, Florence, Italy.

Riccardo Pini (R)

High-Dependency Unit, Department of Clinical and Experimental Medicine, Careggi University Hospital, Lg. Brambilla 3, 50134, Florence, Italy.

Francesca Innocenti (F)

High-Dependency Unit, Department of Clinical and Experimental Medicine, Careggi University Hospital, Lg. Brambilla 3, 50134, Florence, Italy. innocenti.fra66@gmail.com.

Classifications MeSH