COVID-19's Mortality for Elderly People: History
Please note this is an old version of this entry, which may differ significantly from the current revision.
Contributor:

A prevalência da pandemia COVID-19 (SARS-CoV-2) na população idosa, principalmente institucionalizada, ocorre por ser este o cenário em que o isolamento social é difícil em uma situação como a de uma pandemia. A vulnerabilidade dessa população está ligada aos aspectos fisiológicos do envelhecimento, que impactam na eficácia do sistema imunológico, desencadeando morbimortalidade por doenças infecciosas.

  • SARS-CoV-2
  • COVID-19
  • non-communicable chronic diseases (NCCDs)
  • clinical features
  • institutionalized or hospitalized elderly
  • meta-analysis

1. Introduction

In this way, aging has become a global phenomenon in full exponential growth, showing the success of public health and socioeconomic development policies. However, there are new challenges for society that this presents. Our society needs to adapt to this new scenario, maximize the functional capacity and health of the elderly and promote their social inclusion and safe participation. [1]. In view of this, there are social consequences of the aging population and new public health issues arising that affect European countries, such as Italy, in particular [2]. In Italy, the profile of the elderly population is of a group with a high prevalence of non-communicable chronic diseases (NCCDs) and associated comorbidities [1]. In Italy, aging is a common and growing phenomenon. Italy is considered the country with the second largest number of elderly people [2], along with a mortality rate that has decreased by more than 50% in the last 30 years, mainly due to the reduction in cardiovascular diseases [3].

The COVID-19 pandemic (SARS-CoV-2) has caused considerable mortality in populations considered at risk, such as the elderly population, especially those who are institutionalized, a scenario in which social isolation is difficult in a situation such as a pandemic. The vulnerability of this population is linked with the physiological aspects of aging, which impact the effectiveness of the immune system, triggering morbidity and mortality from infectious diseases [4].

Thus, it is necessary to investigate the main factors that make institutionalized elderly people more vulnerable to death. Fragility is a condition that worsens with advancing age and with COVID-19 infection, especially for the hospitalized elderly, who tend to develop a more accentuated presentation of the classic symptoms of the disease [5].

The objective of this study was to synthesize the factors associated with the mortality of elderly Italian people diagnosed with coronavirus who lived in institutions or who were hospitalized because of the disease.

2. Current Findings

The main morbidities presented by the elderly in the studies were: dementia [6], diabetes [7][8], chronic kidney disease [7] and hypertension [8], showing that NCCDs had a key role to play in these cases.

Table 2 shows the descriptive analysis of the quantitative variables according to the survivors and non-survivors, and Table 3 shows the effect size, in SDM and 95% CI, of the variables affecting mortality.

Table 2. Descriptive analysis of quantitative variables, according to groups of survivors and non-survivors.
Variables Non-Survivors Survivors
N Mean SD N Mean SD
Age (years)            
Iacarinno et al. (2020) 188 79.6 0.8 1304 64.7 0.4
Stroppa et al. (2020) 9 74.44 7.21 16 68.38 10.16
Bonetti et al. (2020) 70 75.4 14.99 74 62.63 14.97
Charlson Index            
Iacarinno et al. (2020) 188 4.37 0.14 1403 2.63 0.05
N, sample size in each group; SD, standard deviation.
Table 3. Meta-analysis of factors (quantitative variables) associated with mortality.
Variables SMD (95% CI) I2 Z p-Value
Age (years) 3.10 (2.79; 3.40) 99.9% 19.76 <0.001
Charlson Index 1.74 (1.56; 1.92) - 19.33 <0.001
SMD, standardized mean difference; Z, Z statistic of the meta-analysis; I2, I-square; 95% CI, 95% confidence interval.
Table 5. Meta-analysis of factors associated (quantitative variables) with mortality.
Variables RR (95% CI) I2 Z p-Value
Male 0.98 (0.67; 1.43) 89.3 0.10 0.919
Chronic diseases 1.20 (0.94; 1.54) - 1.48 0.139
Cancer 1.60 (0.60; 4.23) - 0.92 0.356
Diabetes 1.90 (1.53; 2.37) 62.7 5.73 <0.001
Cardiovascular diseases/coronary artery disease 1.80 (0.85; 3.80) 92.0 1.53 0.125
COPD 1 2.19 (1.54; 3.10) 0.0 4.39 <0.001
Immunodeficiencies 5.28 (0.26; 108.12) - 1.08 0.280
Chronic kidney disease 3.96 (2.65; 5.91) 0.0 6.73 <0.001
Metabolic disease 1.51 (0.60;3.75) - 0.89 0.374
Obesity 1.28 (0.78; 2.10) 60.8 0.99 0.322
Hypertension 1.37 (1.24; 1.51) 69.3 6.25 <0.001
FH 2 3.27 (2.49; 4.29) - 8.55 <0.001
Dementia 3.67 (2.43; 5.55) - 6.17 <0.001
Smoking 0.74 (0.32;1.71) - 0.70 0.483
1 Chronic obstructive pulmonary disease (COPD). 2 Familial hypercholesterolemia (FH). RR, relative risk; Z, Z statistic of meta-analysis; I2, I-square; 95% CI, 95% confidence interval.

Table 4 shows the descriptive analysis of qualitative variables according to the survivors and non-survivors, and Table 5 shows the effect size, in RR and 95% CI, of the variables affecting mortality.

The analysis of quantitative variables showed that the risk of mortality was higher in individuals with diabetes (RR, 1.90; 95% CI, 1.53; 2.37), COPD (RR, 2.19; 95% CI, 1.54; 3.10), chronic kidney disease (RR, 3.96; 95% CI, 2.65; 5.91), hypertension (RR, 1.37; 95% CI, 1.24; 1.51), FH (RR, 3.27; 95% CI, 2.49; 4.29) or dementia (RR, 3.67; 95% CI, 2.43; 5.55) ( Table 4 ).

This entry is adapted from the peer-reviewed paper 10.3390/ijerph18158008

References

  1. WHO. World Report on Ageing and Health; WHO: Geneva, Switzerland, 2015; p. 260.
  2. Piccininni, M.; Rohmann, J.L.; Foresti, L.; Lurani, C.; Kurth, T. Use of all cause mortality to quantify the consequences of covid-19 in Nembro, Lombardy: Descriptive study. BMJ 2020, 369, m1835.
  3. Istituto Superiore di Sanità. L’epidemiologia per la Sanità Pubblica—Malattie Cardiovascolari; Istituto Superiore di Sanità: Rome, Italy, 2020.
  4. Granda, E.C.; Cunha, S.G.S.; Silva Michele Fabiana da Campos, K.F.C. Covid-19 in elderly: Why are they more vulnerable to the new coronavirus? Braz. J. Dev. 2021, 7, 10.
  5. Knopp, P.; Miles, A.; Webb, T.E.; McLoughlin, B.C.; Mannan, I.; Raja, N.; Wan, B.; Davis, D. Presenting features of COVID-19 in older people: Relationships with frailty, inflammation and mortality. Eur. Geriatr. Med. 2020, 11, 1089–1094.
  6. Bianchetti, A.; Rozzini, R.; Guerini, F.; Boffelli, S.; Ranieri, P.; Minelli, G.; Bianchetti, L.; Trabucchi, M. Clinical Presentation of COVID19 in Dementia Patients. J. Nutr. Health Aging 2020, 24, 560–562.
  7. Iaccarino, G.; Grassi, G.; Borghi, C.; Ferri, C.; Salvetti, M.; Volpe, M. Age and Multimorbidity Predict Death among COVID-19 Patients: Results of the SARS-RAS Study of the Italian Society of Hypertension. Hypertension 2020, 76, 366–372.
  8. Deiana, G.; Azara, A.; Dettori, M.; Delogu, F.; Vargiu, G.; Gessa, I.; Stroscio, F.; Tidore, M.; Steri, G.; Castiglia, P. Deaths in SARS-CoV-2 positive patients in Italy: The influence of underlying health conditions on lethality. Int. J. Environ. Res. Public Health 2020, 17, 4450.
More
This entry is offline, you can click here to edit this entry!