Next Article in Journal
Natural Course of Asymptomatic Upper Gastrointestinal Subepithelial Lesion of 2 cm or Less in Size
Next Article in Special Issue
Epidemiology and Outcomes of Hypernatraemia in Patients with COVID-19—A Territory-Wide Study in Hong Kong
Previous Article in Journal
Efficacy of the New Inotropic Agent Istaroxime in Acute Heart Failure
Previous Article in Special Issue
The Clinical Course and Outcomes of Patients Hospitalized Due to COVID-19 during Three Pandemic Waves in Poland: A Single Center Observational Study
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Editorial

Clinical Features of COVID-19 in Elderly Patients: Tools for Predicting Outcomes Are Needed

by
Riccardo Giorgino
1,2,* and
Filippo Migliorini
3
1
Residency Program in Orthopedics and Traumatology, University of Milan, 20122 Milan, Italy
2
IRCCS Istituto Ortopedico Galeazzi, 20157 Milan, Italy
3
Department of Orthopaedic, Trauma, and Reconstructive Surgery, RWTH University Hospital, 52074 Aachen, Germany
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2022, 11(24), 7505; https://doi.org/10.3390/jcm11247505
Submission received: 13 December 2022 / Accepted: 14 December 2022 / Published: 18 December 2022
(This article belongs to the Special Issue Clinical Features of COVID-19 in Elderly Patients)
The COVID-19 pandemic faced the healthcare landscape with new challenges, impacting work dynamics across all medical disciplines [1,2,3,4]. A prompt and dynamic hospital reorganization was necessary to tackle the pandemic [5,6]. Alongside the management of the COVID-19 pandemic, this reorganization was associated with an improvement in the quality and efficacy of hospital care and services [7]. Hence, the time interval between diagnosis, treatment, and discharge was reduced in several disciplines [8,9]. Following the improvement in hygiene standards, the rate of nosocomial infections was also reduced [9].
Given the intrinsic characteristics of COVID-19, elderly patients are particularly at risk, especially those with comorbidities [10,11,12,13]. The limited reserve capacity, fragility and age-related global immune system dysfunction of elderlies, influence the severity and progression of COVID-19 [14,15,16,17,18,19,20]. The identification of patients who are most at risk of complications is essential. Among hospitalized patients, multimorbidity and frailty were highly prevalent [21]. In the geriatric population, acute decompensation of pre-existent comorbidities was the main reason for progression in severity of COVID-19 and longer hospitalization [21]. Multimorbidity also significantly reduced the survival rate of patients infected with COVID-19 [21]. The cause of death in patients infected with COVID-19 was investigated post mortem using clinical chart review and autopsy [22]. Along with hypoxemic respiratory failure, acute decompensation of pre-existent comorbidities within the first week of infection was the most common cause of death [22]. Several studies investigated prognostic factors in elderlies with COVID-19 infections [23,24,25,26,27]. Scheffler et al. investigated the prognostic role of subcutaneous and visceral adipose tissue using a quantification fat area on 64 patients with a mean age of 86.4 ± 6.0 years [23]. There was evidence of a positive association with the subcutaneous and visceral adipose tissue and in-hospital mortality and severe COVID-19 pneumonia [23]. The prognostic value of fever, chest X-ray (CXR), and clinical frailty (CFS) scores were investigated in 122 elderlies aged 65 or older, resulting in these being considered the main predictors of in-hospital mortality [24]. Fever, CXR, and CFS might predict outcomes more accurately than other individual risk factors, confirming the importance of multidimensional assessment of elderlies with COVID-19 [24]. The C2HEST has been proposed as a possible tool to evaluate outcomes in elderly patients with active or previous COVID-19 infection. The C2HEST is a stratification scoring system to assesses the risk of developing atrial fibrillation. Rola et al. [25] demonstrated that the C2HEST was effective in predicting six-month and in-hospital mortality in 1047 elderlies with COVID-19. Moreover, the C2HEST was also valid in predicting the risk of non-fatal events, including cardiogenic shock and acute kidney and heart failure in elderlies affected by COVID-19 [25]. COVID-19 negatively impacted the outcomes of elderlies who underwent surgery for lower limb fractures in terms of biochemical parameters (e.g. monocytes, calcium levels, C-reactive protein, creatine phosphokinase, aspartate aminotransferase) and survival [28]. Infection sequelae, including disorientation, fatigue, and dyspnea, might impair postoperative rehabilitation and recovery [28]. Moreover, infected elderlies who underwent surgery for lower limb fractures demonstrated reduced patient-reported outcome measures (PROMs) compared to an age-matched control group of healthy patients [7]. Fericean et al. [29] evaluated whether differences exist in severity progression of infected elderlies between pandemic waves. Among 360 inpatients (60 eligible elderly patients over six consecutive waves) admitted at the Infectious Diseases and Pulmonology Hospital, dyspnea, disorientation, gastrointestinal symptoms, lymphocytosis, and high levels of interleukin-6 were common [29]. Though no significant between waves difference in mortality was reported, a more severe progression of COVID-19 during the third and fourth pandemic waves was observed [29].
In conclusion, given their intrinsic frailty and comorbidities, elderlies are more at risk of a severe COVID-19 progression. The identification of prognostic factors, risk stratification and a tailored management are recommended in this population.

Author Contributions

R.G., writing; F.M., revision. All authors have read and agreed to the published version of the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Albano, D.; Bruno, A.; Bruno, F.; Calandri, M.; Caruso, D.; Clemente, A.; Coppolino, P.; Cozzi, D.; De Robertis, R.; Gentili, F.; et al. Impact of coronavirus disease 2019 (COVID-19) emergency on Italian radiologists: A national survey. Eur. Radiol. 2020, 30, 6635–6644. [Google Scholar] [CrossRef] [PubMed]
  2. Migliorini, F.; Weber, C.D.; Pappalardo, G.; Schenker, H.; Hofmann, U.K.; Eschweiler, J.; Hildebrand, F. Orthopaedic, trauma surgery, and Covid-2019 pandemic: Clinical panorama and future prospective in Europe. Eur. J. Trauma Emerg. Surg. 2022, 48, 4385–4402. [Google Scholar] [CrossRef] [PubMed]
  3. Giorgino, R.; Maggioni, D.M.; Viganò, M.; Verdoni, F.; Pandini, E.; Balbino, C.; Manta, N.; D’Anchise, R.; Mangiavini, L. Knee Pathology before and after SARS-CoV-2 Pandemic: An Analysis of 1139 Patients. Healthcare 2021, 9, 1311. [Google Scholar] [CrossRef]
  4. Aiello, F.; Genzano Besso, F.; Pocobelli, G.; Gallo Afflitto, G.; Colabelli Gisoldi, R.A.M.; Nucci, C.; Ponzin, D.; Italian Society Eye Bank Group (SIBO). Corneal transplant during COVID-19 pandemic: The Italian Eye Bank national report. Cell Tissue Bank 2021, 22, 697–702. [Google Scholar] [CrossRef]
  5. Zagra, L.; Faraldi, M.; Pregliasco, F.; Vinci, A.; Lombardi, G.; Ottaiano, I.; Accetta, R.; Perazzo, P.; D’Apolito, R. Changes of clinical activities in an orthopaedic institute in North Italy during the spread of COVID-19 pandemic: A seven-week observational analysis. Int. Orthop. 2020, 44, 1591–1598. [Google Scholar] [CrossRef] [PubMed]
  6. Luceri, F.; Morelli, I.; Accetta, R.; Mangiavini, L.; Maffulli, N.; Peretti, G.M. Italy and COVID-19: The changing patient flow in an orthopedic trauma center emergency department. J. Orthop. Surg. Res. 2020, 15, 323. [Google Scholar] [CrossRef]
  7. Faggiani, M.; Risitano, S.; Aprato, A.; Conforti, L.; Massè, A. Management of Femur Fractures during COVID-19 Pandemic Period: The Influence of Vaccination and Nosocomial COVID-19 Infection. J. Clin. Med. 2022, 11, 6605. [Google Scholar] [CrossRef]
  8. Obamiro, E.; Trivedi, R.; Ahmed, N. Changes in trends of orthopedic services due to the COVID-19 pandemic: A review. World J. Orthop. 2022, 13, 955–968. [Google Scholar] [CrossRef]
  9. Brayda-Bruno, M.; Giorgino, R.; Gallazzi, E.; Morelli, I.; Manfroni, F.; Briguglio, M.; Accetta, R.; Mangiavini, L.; Peretti, G.M. How SARS-CoV-2 Pandemic Changed Traumatology and Hospital Setting: An Analysis of 498 Fractured Patients. J. Clin. Med. 2021, 10, 2585. [Google Scholar] [CrossRef]
  10. Perazzo, P.; Giorgino, R.; Briguglio, M.; Zuffada, M.; Accetta, R.; Mangiavini, L.; Peretti, G.M. From Standard to Escalated Anticoagulant Prophylaxis in Fractured Older Adults with SARS-CoV-2 Undergoing Accelerated Orthopedic Surgery. Front. Med. 2020, 7, 566770. [Google Scholar] [CrossRef]
  11. Morelli, I.; Luceri, F.; Giorgino, R.; Accetta, R.; Perazzo, P.; Mangiavini, L.; Maffulli, N.; Peretti, G.M. COVID-19: Not a contraindication for surgery in patients with proximal femur fragility fractures. J. Orthop. Surg. Res. 2020, 15, 285. [Google Scholar] [CrossRef] [PubMed]
  12. Giorgino, R.; Soroush, E.; Soroush, S.; Malakouti, S.; Salari, H.; Vismara, V.; Migliorini, F.; Accetta, R.; Mangiavini, L. COVID-19 Elderly Patients Treated for Proximal Femoral Fractures during the Second Wave of Pandemic in Italy and Iran: A Comparison between Two Countries. Medicina 2022, 58, 781. [Google Scholar] [CrossRef] [PubMed]
  13. Migliorini, F.; Giorgino, R.; Hildebrand, F.; Spiezia, F.; Peretti, G.M.; Alessandri-Bonetti, M.; Eschweiler, J.; Maffulli, N. Fragility Fractures: Risk Factors and Management in the Elderly. Medicina 2021, 57, 1119. [Google Scholar] [CrossRef] [PubMed]
  14. Gilis, M.; Chagrot, N.; Koeberle, S.; Tannou, T.; Brunel, A.-S.; Chirouze, C.; Bouiller, K. Older adults with SARS-CoV-2 infection: Utility of the clinical frailty scale to predict mortality. J. Med. Virol. 2021, 93, 2453–2460. [Google Scholar] [CrossRef] [PubMed]
  15. Briguglio, M.; Porta, M.; Zuffada, F.; Bona, A.R.; Crespi, T.; Pino, F.; Perazzo, P.; Mazzocchi, M.; Giorgino, R.; De Angelis, G.; et al. SARS-CoV-2 Aiming for the Heart: A Multicenter Italian Perspective About Cardiovascular Issues in COVID-19. Front. Physiol. 2020, 11, 571367. [Google Scholar] [CrossRef] [PubMed]
  16. Kokkoris, S.; Gkoufa, A.; Maneta, E.; Doumas, G.; Mizi, E.; Georgakopoulou, V.E.; Sigala, I.; Dima, E.; Papachatzakis, I.; Ntaidou, T.K.; et al. Older adults with severe coronavirus disease 2019 admitted to intensive care unit: Prevalence, characteristics and risk factors for mortality. Minerva Anestesiol. 2022, 88, 803–814. [Google Scholar] [CrossRef]
  17. Briguglio, M.; Giorgino, R.; Dell’Osso, B.; Cesari, M.; Porta, M.; Lattanzio, F.; Banfi, G.; Peretti, G.M. Consequences for the Elderly After COVID-19 Isolation: FEaR (Frail Elderly amid Restrictions). Front. Psychol. 2020, 11, 565052. [Google Scholar] [CrossRef]
  18. Pietrobon, A.J.; Teixeira, F.M.E.; Sato, M.N. I mmunosenescence and Inflammaging: Risk Factors of Severe COVID-19 in Older People. Front. Immunol. 2020, 11, 579220. [Google Scholar] [CrossRef]
  19. Gabrielli, M. COVID-19 in Older Adults at the Time of the Omicron Variant. J. Clin. Med. 2022, 11, 5273. [Google Scholar] [CrossRef]
  20. Chen, Y.; Klein, S.L.; Garibaldi, B.T.; Li, H.; Wu, C.; Osevala, N.M.; Li, T.; Margolick, J.B.; Pawelec, G.; Leng, S.X. Aging in COVID-19: Vulnerability, immunity and intervention. Ageing Res. Rev. 2021, 65, 101205. [Google Scholar] [CrossRef]
  21. Ticinesi, A.; Parise, A.; Cerundolo, N.; Nouvenne, A.; Prati, B.; Chiussi, G.; Guerra, A.; Meschi, T. Multimorbidity and Frailty Are the Key Characteristics of Patients Hospitalized with COVID-19 Breakthrough Infection during Delta Variant Predominance in Italy: A Retrospective Study. J. Clin. Med. 2022, 11, 5442. [Google Scholar] [CrossRef] [PubMed]
  22. Malézieux-Picard, A.; Ferrer Soler, C.; De Macedo Ferreira, D.; Gaud-Luethi, E.; Serratrice, C.; Mendes, A.; Zekry, D.; Gold, G.; Lobrinus, J.A.; Arnoux, G.; et al. Undetected Causes of Death in Hospitalized Elderly with COVID-19: Lessons from Autopsy. J. Clin. Med. 2021, 10, 1337. [Google Scholar] [CrossRef] [PubMed]
  23. Scheffler, M.; Genton, L.; Graf, C.E.; Remuinan, J.; Gold, G.; Zekry, D.; Serratrice, C.; Herrmann, F.R.; Mendes, A. Prognostic Role of Subcutaneous and Visceral Adiposity in Hospitalized Octogenarians with COVID-19. J. Clin. Med. 2021, 10, 5500. [Google Scholar] [CrossRef]
  24. Cecchini, S.; Di Rosa, M.; Soraci, L.; Fumagalli, A.; Misuraca, C.; Colombo, D.; Piomboni, I.; Carnevali, F.; Paci, E.; Galeazzi, R.; et al. Chest X-ray Score and Frailty as Predictors of In-Hospital Mortality in Older Adults with COVID-19. J. Clin. Med. 2021, 10, 2965. [Google Scholar] [CrossRef] [PubMed]
  25. Rola, P.; Doroszko, A.; Trocha, M.; Giniewicz, K.; Kujawa, K.; Skarupski, M.; Gawryś, J.; Matys, T.; Szahidewicz-Krupska, E.; Gajecki, D.; et al. Mortality Predictive Value of the C2HEST Score in Elderly Subjects with COVID-19-A Subanalysis of the COLOS Study. J. Clin. Med. 2022, 11, 992. [Google Scholar] [CrossRef] [PubMed]
  26. Migliorini, F.; Torsiello, E.; Spiezia, F.; Oliva, F.; Tingart, M.; Maffulli, N. Association between HLA genotypes and COVID-19 susceptibility, severity and progression: A comprehensive review of the literature. Eur. J. Med. Res. 2021, 3, 84. [Google Scholar] [CrossRef]
  27. Migliorini, F.; Vaishya, R.; Eschweiler, J.; Oliva, F.; Hildebrand, F.; Maffulli, N. Vitamins C and D and COVID-19 Susceptibility, Severity and Progression: An Evidence Based Systematic Review. Medicina 2022, 15, 941. [Google Scholar] [CrossRef]
  28. Colombini, A.; Lombardo, M.D.M.; de Girolamo, L.; De Vecchi, E.; Giorgino, R.; Peretti, G.M.; Banfi, G.; Mangiavini, L. COVID-19 in Elderly Patients Surgically Treated for Lower Limbs Fracture. J. Clin. Med. 2021, 11, 168. [Google Scholar] [CrossRef]
  29. Fericean, R.M.; Rosca, O.; Citu, C.; Manolescu, D.; Bloanca, V.; Toma, A.-O.; Boeriu, E.; Dumitru, C.; Ravulapalli, M.; Barbos, V.; et al. COVID-19 Clinical Features and Outcomes in Elderly Patients during Six Pandemic Waves. J. Clin. Med. 2022, 11, 6803. [Google Scholar] [CrossRef]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Giorgino, R.; Migliorini, F. Clinical Features of COVID-19 in Elderly Patients: Tools for Predicting Outcomes Are Needed. J. Clin. Med. 2022, 11, 7505. https://doi.org/10.3390/jcm11247505

AMA Style

Giorgino R, Migliorini F. Clinical Features of COVID-19 in Elderly Patients: Tools for Predicting Outcomes Are Needed. Journal of Clinical Medicine. 2022; 11(24):7505. https://doi.org/10.3390/jcm11247505

Chicago/Turabian Style

Giorgino, Riccardo, and Filippo Migliorini. 2022. "Clinical Features of COVID-19 in Elderly Patients: Tools for Predicting Outcomes Are Needed" Journal of Clinical Medicine 11, no. 24: 7505. https://doi.org/10.3390/jcm11247505

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop