A comprehensive evaluation of early potential risk factors for disease aggravation in patients with COVID-19

Tang, Qiang; Liu, Yanwei; Fu, Yingfeng; Di, Ziyang; Xu, Kailiang; Tang, Bo; Wu, Hui; Di, Maojun

doi:10.1038/s41598-021-87413-6

Cited by 5 publications

(6 citation statements)

References 67 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Elderly patients and pregnant women have a high risk of acute exacerbation and severity 16–18. Comorbidities, such as hypertension and DM, were other risk factors for disease aggravation in patients with COVID-19 18. In the present study, DM and pregnancy were risk factors for transfer, along with presymptomatic status.…”

Section: Discussionsupporting

confidence: 48%

See 1 more Smart Citation

Protocol and clinical characteristics of patients under ‘at-home care’ for COVID-19 in South Korea: a retrospective cohort study

et al. 2022

View full text Add to dashboard Cite

ObjectiveAs the number of patients with COVID-19 increased, at-home care was introduced for the first time in South Korea. This study aimed to analyse the characteristics and outcomes of patients who were treated under at-home care.Design, setting and participantsThis retrospective cohort study targeted patients under at-home care for COVID-19 in Yeongdeungpo-gu in Seoul, Korea, from 18 October 2021 to 12 December 2021. The public health centre selected eligible patients for at-home care and registered with our institution. Nurses monitored patients, and doctors decided to transfer healthcare facilities and release the quarantined patients according to their symptoms.Outcome measuresPatient characteristics during the course of at-home care.ResultsA total of 1422 patients were enrolled and 9574 patient-days were managed. Most patients were aged ≥60 years (22.7% (n=323)), and 82.8% did not have underlying conditions. The median length of care for patients was 8 days (IQR: 5–10 days). During the study period, 986 (69.3%) patients were released from quarantine, 82 (5.8%) patients were transferred to facilities and 354 (24.9%) patients were still under at-home care at the end of the study period. The most common cause of transfer was sustained fever (n=30; 36.6%), followed by dyspnoea and desaturation (n=17; 20.7%). Factors associated with transfer were diabetes (OR: 3.591, 95% CI 1.488 to 8.665, p=0.004), pregnancy (OR: 5.839, 95% CI 1.035 to 32.935, p=0.046) and being presymptomatic at diagnosis (OR: 4.015, 95% CI 1.559 to 10.337, p=0.004).ConclusionsThere were no specific problems related to patient safety when operating at-home care. Patients with risk factors, such as diabetes, were more likely to be transferred to healthcare facilities. For safe at-home care, it is necessary to prepare for an appropriate response to the emergency.

show abstract

Section: Discussionsupporting

confidence: 48%

Section: Discussionmentioning

confidence: 99%

Protocol and clinical characteristics of patients under ‘at-home care’ for COVID-19 in South Korea: a retrospective cohort study

et al. 2022

View full text Add to dashboard Cite

show abstract

“…IL-6 has a pivotal role in driving the hyperinflammatory response (35,40,41), and it is an independent predictor of patient survival (42). Increased CXCL2, CXCL8, IL-6, and IL-1b are consistent with neutrophilia that is often seen in COVID-19 patients, particularly in those who are severely ill (34,36,43,44). The cytokine storm has been suggested to be characterized by a positive feedback loop.…”

Section: Cytokine Stormmentioning

confidence: 99%

“…A recent study showed that the change in cytokines and chemokines occurs within the first few days from symptoms onset (47), suggesting that the dysregulation may occur very early in the disease course. Finally, the overall increase of cytokines is usually followed by elevated clinical laboratory parameters such as C reactive protein (CRP), ferritin, and Ddimer, which are well-established acute phase proteins, as well as alanine aminotransferase (ALT), aspartate aminotransferase (AST), and lactate dehydrogenase (LDH), that are markers of tissue damage (43,48).…”

Section: Cytokine Stormmentioning

confidence: 99%

Hallmarks of Severe COVID-19 Pathogenesis: A Pas de Deux Between Viral and Host Factors

et al. 2022

View full text Add to dashboard Cite

Two years into Coronavirus Disease 2019 (COVID-19) pandemic, a comprehensive characterization of the pathogenesis of severe and critical forms of COVID-19 is still missing. While a deep dysregulation of both the magnitude and functionality of innate and adaptive immune responses have been described in severe COVID-19, the mechanisms underlying such dysregulations are still a matter of scientific debate, in turn hampering the identification of new therapies and of subgroups of patients that would most benefit from individual clinical interventions. Here we review the current understanding of viral and host factors that contribute to immune dysregulation associated with COVID-19 severity in the attempt to unfold and broaden the comprehension of COVID-19 pathogenesis and to define correlates of protection to further inform strategies of targeted therapeutic interventions.

show abstract

“…Perceived susceptibility to COVID-19 and intention to engage in healthy behaviors are structured by knowledge, attitudes, beliefs, and the influence of important others. The risk for COVID-19 was communicated very early to affect older populations and those with chronic diseases [ 51 , 52 ]. Current vaccination rates are following trends of other health interventions, showing that those who view themselves as high-risk and have access to both information and nearby sites are being vaccinated [ 53 ].…”

Section: Introductionmentioning

confidence: 99%

Correlates of COVID-19 Vaccine Hesitancy among a Community Sample of African Americans Living in the Southern United States

et al. 2021

View full text Add to dashboard Cite

In the United States, African Americans (AAs) have been disproportionately affected by COVID-19 mortality. However, AAs are more likely to be hesitant in receiving COVID-19 vaccinations when compared to non-Hispanic Whites. We examined factors associated with vaccine hesitancy among a predominant AA community sample. We performed a cross-sectional analysis on data collected from a convenience sample of 257 community-dwelling participants in the Central Savannah River Area from 5 December 2020, through 17 April 2021. Vaccine hesitancy was categorized as resistant, hesitant, and acceptant. We estimated relative odds of vaccine resistance and vaccine hesitancy using polytomous logistic regression models. Nearly one-third of the participants were either hesitant (n = 40, 15.6%) or resistant (n = 42, 16.3%) to receiving a COVID-19 vaccination. Vaccine-resistant participants were more likely to be younger and were more likely to have experienced housing insecurity due to COVID-19 when compared to both acceptant and hesitant participants, respectively. Age accounted for nearly 25% of the variation in vaccine resistance, with 21-fold increased odds (OR: 21.93, 95% CI: 8.97–5.26–91.43) of vaccine resistance in participants aged 18 to 29 compared to 50 and older adults. Housing insecurity accounted for 8% of the variation in vaccine resistance and was associated with 7-fold increased odds of vaccine resistance (AOR: 7.35, 95% CI: 1.99–27.10). In this sample, AAs under the age of 30 and those experiencing housing insecurity because of the COVID-19 pandemic were more likely to be resistant to receiving a free COVID-19 vaccination.

show abstract

A comprehensive evaluation of early potential risk factors for disease aggravation in patients with COVID-19

Cited by 5 publications

References 67 publications

Protocol and clinical characteristics of patients under ‘at-home care’ for COVID-19 in South Korea: a retrospective cohort study

Protocol and clinical characteristics of patients under ‘at-home care’ for COVID-19 in South Korea: a retrospective cohort study

Hallmarks of Severe COVID-19 Pathogenesis: A Pas de Deux Between Viral and Host Factors

Correlates of COVID-19 Vaccine Hesitancy among a Community Sample of African Americans Living in the Southern United States

Contact Info

Product

Resources

About