A Study on the Predictors of Disease Severity of COVID-19

Li, Liang; Sun, Wei; Han, Mingyong; Ying, Yunli; Wang, Quanzhi

doi:10.12659/msm.927167

Cited by 26 publications

(24 citation statements)

References 11 publications

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“…In our cohort, COVID-19 survivors with the onset symptoms of joint or muscle pain were at an increased risk of having incomplete function status at six-month after discharge. In line with this nding, a previous study of 158 hospitalized COVID-19 patients showed that the symptoms of muscle or joint pain were signi cantly associated with the trend of intensi cation of COVID-19 (3/30% vs 3/128, p = 0.048) [20]. The associated muscle pain is one of the most frequent causes of pain in SARS-nCoV-2 infection.…”

Section: Discussionsupporting

confidence: 73%

“…After excluding seven non-surviors and 53 lost to follow-up or did not undergo the PCFS interview, 104 patients (53 [50.9%] male) with a median age of 62 (IQR 54-70] participated in the follow-up. Patients with and without the PCFS interview were similar in age (63 [54-70] vs 62 [52-69], p = 0.493), to be male (53 [51.0%] vs 24 [45.3%], p = 0.501), and admission delay (13 [7-20] days vs 14 [9][10][11][12][13][14][15][16][17][18][19][20][21], p = 0.157). After further excluding three (2.9%) patients with grade 3 and six (5.8%) paitents with grade 4 at baseline, we included 95 patients with a baseline PCFS = 0 in the nal analysis (Figure 1).…”

Section: Resultsmentioning

confidence: 99%

“…The differences in the demographics and clinical characteristics between patients with PCFS = 0 and PCFS > 0 at six-month follow-up are shown in Table 2. Compared to those with PCFS = 0, patients with PCFS > 0 were younger (60 [49-69] vs 64 [56-69], p = 0.164), more likely to had onset symptoms of muscle or joint pain (9 [32.1%] vs 7 [10.4%], p = 0.01), and had shorter onset-admission delay (9 days [6][7][8][9][10][11][12][13][14][15][16][17][18] vs 14 [10][11][12][13][14][15][16][17][18][19][20], p = 0.04).…”

Section: Resultsmentioning

confidence: 99%

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Six-month follow-up of functional status in discharged patients with coronavirus disease 2019

Fang

et al. 2020

Preprint

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Background The long-term functional outcome of discharged patients with coronavirus disease 2019 (COVID-19) remains unresolved. We aimed to describe a six-month follow-up of functional status of COVID-19 survivors.Methods We reviewed the data of COVID-19 patients who had been consecutively admitted to the Tumor Center of Union Hospital (Wuhan, China) between 15 February and 14 March 2020. We quantified a six-month functional outcome reflecting symptoms and disability in COVID-19 survivors using a post-COVID-19 functional status scale ranging from 0 to 5 (PCFS). We examined the risk factors for the incomplete functional status defined as a PCFS > 0 at a six-month follow-up after discharge.Results We included a total of 95 COVID-19 survivors with a median age of 62 (IQR 53-69) who had a complete functional status (PCFS grade 0) at baseline in this retrospective observational study. At six-month follow-up, 67 (70.5%) patients had a complete functional outcome (grade 0), 9 (9.5%) had a negligible limited function (grade 1), 12 (12.6%) had a mild limited function (grade 2), 7 (7.4%) had moderate limited function (grade 3). Univariable logistic regression analysis showed a significant association between the onset symptoms of muscle or joint pain and an increased risk of incomplete function (unadjusted OR 4.06, 95%CI 1.33 - 12.37). This association remained after adjustment for age and admission delay (adjusted OR 3.39, 95%CI 1.06 - 10.81, p = 0.039).Conclusions A small proportion of discharged COVID-19 patients may have an incomplete functional outcome at a six-month follow-up; intervention strategies are required.

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Section: Discussionsupporting

confidence: 73%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Six-month follow-up of functional status in discharged patients with coronavirus disease 2019

Fang

et al. 2020

Preprint

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“…No studies about this delay in COVID-19 diagnosis have been described before in ARDs and even in the general population there is a scarcity of data. A systematic review which examined predictors of hospitalization for COVID-19 in ARD patients found few studies exploring this variable [ 47 ] and the data currently available are still controversial [ 48 – 50 ]; however, this variable could be critical in terms of mortality if the health system collapses or is near collapse; for example, a low level of oxygen saturation at admission has been found to be associated with mortality in a recent Peruvian study; once again a delay in hospitalization of about 8 days since initial symptoms was observed in that study [ 51 ]. We considered our results to be of the utmost importance in the care of patients with ARDs in the community.…”

Section: Discussionmentioning

confidence: 99%

Predictors of hospitalization for COVID-19 in patients with autoimmune rheumatic diseases: results from a community cohort follow-up

et al. 2021

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Objective The identification of risk factors for COVID-19 adverse course in autoimmune rheumatic diseases (ARDs) is of the utmost importance when approaching patient management; however, data are scarce in relation to the Latin American population. The objective of this study was to determine predictors of hospitalization for COVID-19 patients from an ARD community cohort. Methods A real setting longitudinal study (March to November 2020) in an ARD community cohort was carried out. Potential predictors of hospitalization for COVID-19 examined included (1) sociodemographic variables (age, gender, education, tobacco use, socioeconomic status, and co-inhabitants), (2) comorbidities, (3) time to COVID-19 diagnosis, and (4) ARD’s features: clinical (disease type, disease duration, activity), treatment [corticosteroids use/doses, use of synthetic DMARDs (cDMARDs, tsDMARDs, and bDMARDs)], treatment schedule and non-adherence, and the Multidimensional Health Assessment Questionnaire (MDHAQ). Univariable and multivariable regression analysis were conducted; OR and 95% CI (p < 0.05) were determined. Results One thousand and one hundred forty-eight patients with ARDs were included; 154 had COVID-19; of these 139 (90.3%) were women, aged 52.5 (13.7) years; 33.1% had hypertension and 61.0% an affected organ by ARD. Infection was detected 8.4 (10.1) days after symptoms started; there were 33 hospitalized patients (rate 21.4%). Predictors of hospitalization by multivariable analysis were age (OR: 1.06; CI: 1.01–1.10; p: 0.01), comorbidities: hypertension (OR: 3.95; 95% CI: 1.40–10.95, p: 0.01) and neoplasm (OR: 9.0; 95% CI: 1.6–52.3; p: 0.01), number of organs involved by ARD (OR: 2.26; 95% CI: 1.16–4.41; p: 0.02), and infection diagnosis delay (OR: 1.36; 95% CI: 1.03–1.80; p: 0.01). Conclusions In our ARD patients with COVID-19, older age, comorbidities (neoplasm and hypertension), and a delay in COVID-19 diagnosis were predictors of hospitalization. The only ARD-associated predictor feature was the number of organs involved. Key Points • Patients with ARD and COVID-19 have an adverse course in comparison to the general population. • Previous predictors of COVID-19 hospitalization, including known risk factors (such as older age and comorbidities) and systemic manifestations, should be taken into account in the management of these patients. • Delayed diagnosis of COVID-19 impacts negatively on prognosis. • Availability of diagnostic tests is of utmost importance.

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“…There are a number of other host characteristics that could influence the variant/outcome relationship that must be identified and controlled for before a consensus on this subject may be reached [8,9]. Lorenzo-Redondo et al adopt this approach by fitting a logistic regression model to evaluate the impact of clade, viral load, and demographic variables on disease severity among the patients in their cohort.…”

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confidence: 99%

Virus genomics as a clinical and epidemiological tool

Petrone¹

2020

eBioMedicine

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A Study on the Predictors of Disease Severity of COVID-19

Cited by 26 publications

References 11 publications

Six-month follow-up of functional status in discharged patients with coronavirus disease 2019

Six-month follow-up of functional status in discharged patients with coronavirus disease 2019

Predictors of hospitalization for COVID-19 in patients with autoimmune rheumatic diseases: results from a community cohort follow-up

Virus genomics as a clinical and epidemiological tool

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