1,875
Views
2
CrossRef citations to date
0
Altmetric
Original Articles

Initial symptoms and three months follow-up after acute COVID-19 in outpatients: An international prospective cohort study

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon, , ORCID Icon, ORCID Icon, , ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon show all
Article: 2154074 | Received 12 May 2022, Accepted 03 Nov 2022, Published online: 19 Jan 2023

Figures & data

Figure 1. Patient flow with symptom severity and impact on daily activities during follow-up. Patients (absolute numbers are shown) are divided per follow-up moment with respect to symptom resolution and those still symptomatic to severity of symptoms. Total numbers of patients in the study: 266 at week 2, 264 at week 4, 257 at week 8, and 248 at week 12.

Figure 1. Patient flow with symptom severity and impact on daily activities during follow-up. Patients (absolute numbers are shown) are divided per follow-up moment with respect to symptom resolution and those still symptomatic to severity of symptoms. Total numbers of patients in the study: 266 at week 2, 264 at week 4, 257 at week 8, and 248 at week 12.

Table 1. Characteristics of COVID-19 outpatients at inclusion.

Figure 2. Frequency and severity of self-reported symptoms in COVID-19 outpatients over 12 weeks after a positive SARS-CoV-2 test. Absolute numbers of patients reporting each individual symptom are shown, with severity distribution.

Figure 2. Frequency and severity of self-reported symptoms in COVID-19 outpatients over 12 weeks after a positive SARS-CoV-2 test. Absolute numbers of patients reporting each individual symptom are shown, with severity distribution.

Figure 3. Correlation of COVID-19-related symptoms between week 2 and week 12. Univariate correlation between presence and severity of symptoms at week 2 (column) and week 12 (row). Darker tones correspond to stronger correlations. Empty cells indicate no patients with that particular symptom combination at week 2 and 12.

Figure 3. Correlation of COVID-19-related symptoms between week 2 and week 12. Univariate correlation between presence and severity of symptoms at week 2 (column) and week 12 (row). Darker tones correspond to stronger correlations. Empty cells indicate no patients with that particular symptom combination at week 2 and 12.

Table 2. Impact on daily activities reported by outpatients with lingering COVID-19-related symptoms.

Figure 4. Correlations between COVID-19-related symptoms at week 2 and their impact on daily life variables at week 12. Univariate correlations between presence and severity of symptoms week 2 (column) and impact on daily life at week 12 (row). Darker tones correspond to stronger correlation.

Figure 4. Correlations between COVID-19-related symptoms at week 2 and their impact on daily life variables at week 12. Univariate correlations between presence and severity of symptoms week 2 (column) and impact on daily life at week 12 (row). Darker tones correspond to stronger correlation.

Figure 5. Cox regression for time to return to usual health for obese patients compared to non-obese. Graph shows the hazard for obese patients (red) and non-obese patients (blue). Outcomes were adjusted for age, sex, sore throat and gastrointestinal manifestations (variables included in the final model, p-value = 0.007). Y-axis starts at 0.3 to better visualise the difference between lines. The X-axis shows number of weeks.

Figure 5. Cox regression for time to return to usual health for obese patients compared to non-obese. Graph shows the hazard for obese patients (red) and non-obese patients (blue). Outcomes were adjusted for age, sex, sore throat and gastrointestinal manifestations (variables included in the final model, p-value = 0.007). Y-axis starts at 0.3 to better visualise the difference between lines. The X-axis shows number of weeks.