| Literature DB >> 33765600 |
Edda Cava1, Barbara Neri2, Maria Grazia Carbonelli2, Sergio Riso3, Salvatore Carbone4.
Abstract
The high prevalence of obesity and obesity-related comorbidities has reached pandemic proportions, particularly in Western countries. Obesity increases the risk to develop several chronic noncommunicable disease, ultimately contributing to reduced survival. Recently, obesity has been recognized as major risk factor for coronavirus disease-19 (COVID-19)-related prognosis, contributing to worse outcomes in those with established COVID-19. Particularly, obesity has been associated with higher hospitalization rates in acute or intensive care and greater risk for invasive mechanical ventilation than lean people. Obesity is characterized by metabolic impairments and chronic low-grade systemic inflammation that causes a pro-inflammatory microenvironment, further aggravating the cytokine production and risk of cytokine storm response during Sars-Cov2 sepsis or other secondary infections. Moreover, the metabolic dysregulations are closely related to an impaired immune system and altered response to viral infection that can ultimately lead to a greater susceptibility to infections, longer viral shedding and greater duration of illness and severity of the disease. In individuals with obesity, maintaining a healthy diet, remaining physically active and reducing sedentary behaviors are particularly important during COVID-19-related quarantine to reduce metabolic and immune impairments. Moreover, such stategies are of utmost importance to reduce the risk for sarcopenia and sarcopenic obesity, and to prevent a reduction and potentially even increase cardiorespiratory fitness, a well-known independent risk factor for cardiovascular and metabolic diseases and recently found to be a risk factor also for hospitalizations secondary to COVID-19. Such lifestyle strategies may ultimately reduce morbility and mortality in patients with infectious disease, especially in those with concomitant obesity. The aim of this review is to discuss how obesity might increase the risk of COVID-19 and potentially affect its prognosis once COVID-19 is diagnosed. We therefore advocate for implementation of strategies aimed at preventing obesity in the first place, but also to minimize the metabolic anomalies that may lead to a compromized immune response and chronic low-grade systemic inflammation, especially in patients with COVID-19.Entities:
Keywords: COVID-19; Immune system; Low-grade inflammation; Obesity; Pandemic; Sars-CoV-2
Year: 2021 PMID: 33765600 PMCID: PMC7923945 DOI: 10.1016/j.clnu.2021.02.038
Source DB: PubMed Journal: Clin Nutr ISSN: 0261-5614 Impact factor: 7.324
Fig. 1Weekly updated Data from COVID-NET [16] as of December 31, 2020, a) prevalence of medical conditions in hospitalized patients; b) focus on the most prevalent (>30%) conditions (same data showed in a).
Prevalence of comorbidities in the Italian 35,563 deceased people positive for Sars-CoV-2, accessed at https://www.epicentro.iss.it/en/coronavirus/bollettino/Report-COVID-2019_1_march_2021.pdf [24] on the 1st of March, 2021. Modified selecting disease with a prevalence >10%.
| Women (43.9%) | Men (56.1%) | Total (n = 96141) | |
|---|---|---|---|
| Mean Age | 86 years | 80 years | 83 years |
| Hypertension | 67.9% | 64.1% | 65.7% |
| Ischemic heart disease | 23.3% | 31.1% | 27.9% |
| Atrial fibrillation | 25.5% | 23.4% | 24.3% |
| Heart failure | 17.6% | 14.2% | 15.9% |
| Stroke | 12.6% | 10.9% | 11.6% |
| Type-2 Diabetes | 27% | 30.8% | 29.3% |
| Dementia | 32.4% | 17.7% | 23.6% |
| COPD | 14.1% | 19.4% | 17.3% |
| Active cancer in last < 5 years | 15.1% | 17.7% | 16.7% |
| Chronic kidney disease | 19.8% | 22.2% | 21.2% |
| Obesity | 10.9% | 11.1% | 11% |
Legend: COPD chronic obstructive pulmonary disease.
A comparison of preexisting medical conditions between countries with the highest prevalence COVID-19 (China, USA, Italy, and France).
| Median Age (years) | Obesity (%) | Diabetes (%) | Hypertension (%) | CVD (%) | Lung-disease (%) | |
|---|---|---|---|---|---|---|
| China (Guan et al. 12) | 47 (58.1%M) | |||||
| Tot | 7.4 | 15 | 2.5 | 1.1 | ||
| Non-severe | - 5.7 | - 13.4 | - 1.8 | - 0.6 | ||
| Severe | - 16.2 | - 23.7 | - 5.8 | - 3.5 | ||
| COVID-NET (16, up to August 29th) | 47.9 | 41.5 | 56.7 | 32.5 | 18.7 | |
| COVID-NET [ | Overall | 48.3 | 28.3 | 49.7 | 27.8 | 34.6 |
| - 50-64 | - 49 | - 32.1 | - 47.4 | - 19.6 | - 28.3 | |
| - >65 | - 41 | - 31.3 | - 72.6 | - 50.8 | - 38.7 | |
| NYC (Richardson et al., 17) | 63 (60.3%M) | 41.7 | 33.8 | 56.6 | 18 | 17.3 |
| NYC (Petrilli et al., 18) - tot | 35.3 | 22.6 | 42.7 | 52.1 | 14.9 | |
| Hospitalized | 54 (49.5%M) | 39.5 | 34.7 | 62 | 70 | 16.5 |
| Non hospitalized | (61.2%M) | 30.8 | 9.7 | 21.9 | 32.2 | 13.1 |
| NYC (Cummings et al.,3) | 62 (67% M) | 46 | 36 | 63 | ||
| France (Simonnet et al., 20) | 60 (73%M) | BMI 29.6 kg/m2 | ||||
| IMV | 31.1 kg/m2 | - 27 | - 56 | |||
| Non-IMV | 27 kg/m2 | - 13 | - 32 | |||
| China (Zheng et al., 22), tot | 47 | 24.2 | 28.8 | |||
| with obesity | - 31.1 | - 35.6 | ||||
| without obesity | - 9.5 | - 14.3 | ||||
| Italy (ISS, 24)∗ | 80 (57.6%M) | 10.4 | 29.5 | 65.8 | 44 | 17.1 |
All data are in %, except age in years.
Legend: ∗Refers to data of deceased population positive for Sars-CoV-2; NYC New York City, CHD coronary heart disease, IMV invasive mechanical ventilation.