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Disclosure: The authors declare no conflicts of interest.
Obesity, hypertension, diabetes, and specific ethnicities (Black and
Hispanic) have been reported to be common comorbidities and possible
risk factors for the severity of both COVID-19 and H1N1 influenza
infections 1,2. Thus, it is important to understand
why these four risk factors are common to both COVID-19 and H1N1
influenza infections, and whether a common mechanism exists.
Respiratory failure is the most important pathology that contributes to
the severity of both COVID-19 and H1N1 influenza infections. Patients
with obesity show a restrictive breathing pattern and reduced lung
volumes. In severe cases, this obesity-hypoventilation syndrome can lead
to respiratory failure. Additionally, obesity has been reported to be a
risk factor for the development of acute respiratory distress syndrome
(ARDS) 3, which is a serious clinical manifestation of
both COVID-19 and H1N1 infections. Among patients admitted for ARDS, the
PaO2-to-FiO2 ratio has been found to
significantly increase in the prone position in patients with obesity
compared to patients without obesity 4. Critical care
clinicians treating COVID-19 patients have reported that patients with
ARDS appear to respond well to invasive ventilation in the prone
position, and hence, prone ventilation has been recommended by the
international guidelines for the management of COVID-195.
Although patients with obesity have a higher risk of developing ARDS,
they appear to have lower mortality rates compared to patients without
obesity 6. Obesity is associated with lower mortality
in patients with sepsis 7, the most common cause of
ARDS, and also with lower mortality in patients with community-acquired
bacterial pneumonia 8. These phenomena are examples of
the ‘obesity paradox’ and may reflect stronger immunity in patients with
obesity 9 since bacterial infections are the most
common causes of sepsis and community-acquired pneumonia. Heightened
immune responses, however, could be harmful to patients with COVID-19
because of excessive cytokine production, known as the cytokine storm,
which can contribute to ARDS or multi-organ dysfunction in some infected
individuals. Therefore, the obesity paradox might not apply to COVID-19
infections.
Obesity is a risk factor for hypertension, but importantly, no published
study has presented a convincing mechanism explaining how hypertension
could contribute to the severity of COVID-19 and H1N1 infections. We
searched PubMed on May 24, 2020 for the terms ‘hypertension’ combined
with ‘COVID’, ‘coronavirus’, ‘SARS-CoV-2’, or ‘H1N1’. All studies found
in the search showing hypertension as a risk factor for the severity of
COVID-19 and H1N1 infections were either not based on multiple logistic
regression analyses or did not include obesity or BMI as an explanatory
variable in their multiple logistic regression models. Therefore, there
might be a statistical artefact resulting from the confounding influence
of the association between hypertension and obesity. Additionally, it is
important to mention that the accuracy of the patient height and weight
measurements is unreliable in emergency and critical care admissions,
where pre-admission measurements are not taken.
Moreover, similar attention is needed when specifying patients with
diabetes or of specific ethnicities (Black and Hispanic) as potentially
more vulnerable to either infection, because obesity also correlates
with diabetes, and is more prevalent in these ethnicities1. Similarly, attention is needed when dealing with
COVID-19 death rates as a result of people belonging to different
ethnicities and the obesity rates in each country. Notably, a
retrospective cohort study has shown that obesity or high BMI are
predictive risk factors for severe COVID-19 outcomes, independent of
age, diabetes, and hypertension 3.
Taking all the above-mentioned points into consideration, it can be
concluded that associations between hypertension, diabetes, ethnicities
and severity of COVID-19 and H1N1 infections may be confounded by
obesity to a considerable extent.
Acknowledgements: I thank Gen Kaneko, Ph.D. (Assistant Professor of
Biology, School of Arts and Sciences, University of Houston-Victoria)
for statistical advice and for reviewing this manuscript.
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