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3.
Lab Med ; 52(4): 311-314, 2021 Jul 01.
Article in English | MEDLINE | ID: covidwho-1135871

ABSTRACT

OBJECTIVE: Evidence has shown that Google searches for clinical symptom keywords correlates with the number of new weekly patients with COVID-19. This multinational study assessed whether demand for SARS-CoV-2 tests could also be predicted by Google searches for key COVID-19 symptoms. METHODS: The weekly number of SARS-CoV-2 tests performed in Italy and the United States was retrieved from official sources. A concomitant electronic search was performed in Google Trends, using terms for key COVID-19 symptoms. RESULTS: The model that provided the highest coefficient of determination for the United States (R2 = 82.8%) included a combination of searching for cough (with a time lag of 2 weeks), fever (with a time lag of 2 weeks), and headache (with a time lag of 3 weeks; the time lag refers to the amount of time between when a search was conducted and when a test was administered). In Italy, headache provided the model with the highest adjusted R2 (86.8%), with time lags of both 1 and 2 weeks. CONCLUSION: Weekly monitoring of Google Trends scores for nonspecific COVID-19 symptoms is a reliable approach for anticipating SARS-CoV-2 testing demands ~2 weeks in the future.


Subject(s)
COVID-19 Testing/statistics & numerical data , COVID-19 , Clinical Laboratory Services/statistics & numerical data , Search Engine/statistics & numerical data , COVID-19/diagnosis , COVID-19/epidemiology , Humans , Information Seeking Behavior , Laboratories , SARS-CoV-2
4.
Clin Chem Lab Med ; 59(3): 599-607, 2021 02 23.
Article in English | MEDLINE | ID: covidwho-1067439

ABSTRACT

OBJECTIVES: Severe coronavirus disease 2019 (COVID-19) is associated with a dysregulated immune state. While research has focused on the hyperinflammation, little research has been performed on the compensatory anti-inflammatory response. The aim of this study was to evaluate the anti-inflammatory cytokine response to COVID-19, by assessing interleukin-10 (IL-10) and IL-10/lymphocyte count ratio and their association with outcomes. METHODS: Adult patients presenting to the emergency department (ED) with laboratory-confirmed COVID-19 were recruited. The primary endpoint was maximum COVID-19 severity within 30 days of index ED visit. RESULTS: A total of 52 COVID-19 patients were enrolled. IL-10 and IL-10/lymphocyte count were significantly higher in patients with severe disease (p<0.05), as well as in those who developed severe acute kidney injury (AKI) and new positive bacterial cultures (all p≤0.01). In multivariable analysis, a one-unit increase in IL-10 and IL-10/lymphocyte count were associated with 42% (p=0.031) and 32% (p=0.013) increased odds, respectively, of severe COVID-19. When standardized to a one-unit standard deviations scale, an increase in the IL-10 was a stronger predictor of maximum 30-day severity and severe AKI than increases in IL-6 or IL-8. CONCLUSIONS: The hyperinflammatory response to COVID-19 is accompanied by a simultaneous anti-inflammatory response, which is associated with poor outcomes and may increase the risk of new positive bacterial cultures. IL-10 and IL-10/lymphocyte count at ED presentation were independent predictors of COVID-19 severity. Moreover, elevated IL-10 was more strongly associated with outcomes than pro-inflammatory IL-6 or IL-8. The anti-inflammatory response in COVID-19 requires further investigation to enable more precise immunomodulatory therapy against SARS-CoV-2.


Subject(s)
COVID-19/diagnosis , Interleukin-10/metabolism , Acute Kidney Injury/blood , Acute Kidney Injury/complications , Acute Kidney Injury/diagnosis , Adult , Aged , Bacterial Infections/blood , Bacterial Infections/complications , Bacterial Infections/diagnosis , COVID-19/blood , COVID-19/complications , Cohort Studies , Emergency Service, Hospital , Female , Hospitalization , Humans , Interleukin-10/blood , Lymphocyte Count , Male , Middle Aged , Prognosis
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