The impact of specific comorbidities and overall multimorbidity on the three mechanistically distinct phases of COVID-19

NewsGuard 100/100 Score

In a recent study published in Nature Medicine, researchers studied the impact of comorbidities, i.e., the presence of pre-existing diseases, in the three distinct phases of coronavirus disease 2019 (COVID-19) - severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) replication phase, inflammatory lung injury, and post-acute sequelae of COVID-19 (PASC). In addition, they examined the effect of multimorbidity, i.e., the presence of two or more long-term diseases, in modifying COVID-19 severity and outcomes.

Study: Comorbidities, multimorbidity and COVID-19. Image Credit: Nhemz/Shutterstock
Study: Comorbidities, multimorbidity and COVID-19. Image Credit: Nhemz/Shutterstock

Since multiple factors and patient-level variability also confound the influence of comorbidities on COVID-19 outcomes, the researchers also discussed if host genetics (besides the patient's age and gender) could help make these inferences in the absence of confounding factors.


Though all are not apparent in all patients, COVID-19 manifests via several distinct pathological mechanisms. Thus, more research into the mechanisms of disease-state interactions could help stratify therapeutic approaches and improve COVID-19 outcomes in patients. These studies are also urgent because comorbidity and multimorbidity are growing public-health challenges, with 22% of the global population having at least one comorbidity that could heighten the risk of contracting COVID-19.

Establishing a causal relationship between comorbidities and COVID-19 outcomes besides confounding factors

Many large-scale observational studies have explored the biological mechanisms through which comorbidities make individuals prone to progress to severe COVID-19. However, distorted associations can arise due to study design, sampling, and results interpretations. Similarly, one's comorbidity status could determine the likelihood of SARS-CoV-2 exposure.

Nonetheless, comorbidities could predispose people to hospitalization and intensive-care unit (ICU) admission. Intriguingly, it could be due to nearly any acute illness, not just COVID-19. While clinicians understand this, it is almost impossible to quantify it in biological terms. For example, pulmonary fibrosis, quantified by an apparent reduction in lung function test, magnifies the proportional impact of a new insult (here, COVID-19). Likewise, malnourished, weak, and chronically ill people (without organ dysfunction) cannot tolerate a relatively minor physiological stressor.

There is evidence that common, severe comorbidities do not have substantially varying effects on the mortality risk. However, specific comorbidities (e.g., obesity) merit consideration in COVID-19 due to their mechanistic implications. Accordingly, Mendelian randomization studies have consistently found a correlation between obesity and critical COVID-19.

Impact of comorbidities during three COVID-19 phases - acute viral illness, inflammatory lung injury & PASC

The RECOVERY trial evaluating dexamethasone provided the most remarkable evidence of mechanistic differences between the acute illness and the inflammatory lung injury phases, two of the three COVID-19 phases discussed in this study.

Its results showed an overall benefit of dexamethasone treatment on hypoxic and nonhypoxic COVID-19 patients. However, subgroup analysis indicated that those who needed invasive ventilation showed lesser mortality than those who did not.

Another observation was that during the acute viral illness phase, the impact of most comorbidities was a generic consequence of weakness and dampened physiological reserve. Proceeding to the third COVID-19 phase, i.e., PASC, the researchers admitted that it remained unrecognized by the World Health Organization (WHO) for nearly two years since the beginning of the COVID-19 pandemic.

However, now data has accrued on how specific comorbidities result in the development of PASC. A recent study found that the incidence of PASC varied between 2.8% and 5.5% vs. 1.8% in people with and without comorbidities. Furthermore, studies have described a suite of specific new onset symptoms following acute COVID-19, defined as non-hospitalized and hospitalized cases and those requiring ICU.

A large study using the United States Department of Veterans Affairs data found that COVID-19 amplified the cardiovascular disease (CVD)-risk by 1.6 times, resulting in an extra burden of new CVDs in 45/1,000 people during the one-year follow-up.

Impact of multimorbidity on COVID-19 outcomes

One-third of the global adult population is estimated to have more than one pre-existing comorbidity, whereas the figure rises to over two-thirds in the elderly (>65 years). A large study on hospitalized COVID-19 patients in the United Kingdom found that rough mortality in patients with multimorbidity was twice that in those without multimorbidity after accounting for demographic factors. Likewise, the combination of diabetes and chronic kidney disease increased the risk of severe COVID-19.

Most intriguingly, multimorbidity could increase the risk through clinical interventions, which might reduce the likelihood of survival and impair the survivor's quality of life. Together, these findings necessitated that the clinical guidelines for COVID-19 management are customized per individual circumstances, especially when considering invasive treatments.


The current study highlighted several important aspects of the correlation between comorbidity, multimorbidity, and the incidence of COVID-19. First, this correlation is complex, but understanding its full complexity could help find mechanisms that result in poor COVID-19 outcomes. Second, some comorbidities, such as obesity, are modifiable.

Though challenging, it remains crucial to identify the causal relationships between comorbidities and COVID-19 outcomes from a scientific point of view, as it might uncover novel opportunities for therapeutic interventions.

Thus, researchers must continue concerted efforts to define the mechanistic aspects of this relationship, especially in the context of host genetics and laboratory research, concomitantly eliminating confounding in these relationships.

As SARS-CoV-2 continues to evolve, patterns of COVID-19 will continue to change. Thus, the effect of comorbidities and multimorbidity on its outcome should remain a research priority.

Journal reference:
Neha Mathur

Written by

Neha Mathur

Neha is a digital marketing professional based in Gurugram, India. She has a Master’s degree from the University of Rajasthan with a specialization in Biotechnology in 2008. She has experience in pre-clinical research as part of her research project in The Department of Toxicology at the prestigious Central Drug Research Institute (CDRI), Lucknow, India. She also holds a certification in C++ programming.


Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Mathur, Neha. (2023, February 21). The impact of specific comorbidities and overall multimorbidity on the three mechanistically distinct phases of COVID-19. News-Medical. Retrieved on May 30, 2024 from

  • MLA

    Mathur, Neha. "The impact of specific comorbidities and overall multimorbidity on the three mechanistically distinct phases of COVID-19". News-Medical. 30 May 2024. <>.

  • Chicago

    Mathur, Neha. "The impact of specific comorbidities and overall multimorbidity on the three mechanistically distinct phases of COVID-19". News-Medical. (accessed May 30, 2024).

  • Harvard

    Mathur, Neha. 2023. The impact of specific comorbidities and overall multimorbidity on the three mechanistically distinct phases of COVID-19. News-Medical, viewed 30 May 2024,


The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Children can boost vaccination rates by educating their grandparents