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. 2022 Mar 22:10:782894.
doi: 10.3389/fped.2022.782894. eCollection 2022.

Shift in Clinical Profile of Hospitalized Pneumonia in Children in the Non-pharmaceutical Interventions Period During the COVID-19 Pandemic: A Prospective Multicenter Study

Affiliations

Shift in Clinical Profile of Hospitalized Pneumonia in Children in the Non-pharmaceutical Interventions Period During the COVID-19 Pandemic: A Prospective Multicenter Study

Alexis Rybak et al. Front Pediatr. .

Abstract

Non-pharmaceutical interventions (NPIs) against coronavirus disease 2019 were implemented in March 2020. These measures were followed by a major impact on viral and non-viral diseases. We aimed to assess the impact of NPI implementation in France on hospitalized community-acquired pneumonia (hCAP) frequency and the clinical and biological characteristics of the remaining cases in children. We performed a quasi-experimental interrupted time-series analysis. Between June 2014 and December 2020, eight pediatric emergency departments throughout France reported prospectively all cases of hCAP in children from age 1 month to 15 years. We estimated the impact on the monthly number of hCAP using segmented linear regression with autoregressive error model. We included 2,972 hCAP cases; 115 occurred during the NPI implementation period. We observed a sharp decrease in the monthly number of hCAP after NPI implementation [-63.0% (95 confidence interval, -86.8 to -39.2%); p < 0.001]. Children with hCAP were significantly older during than before the NPI period (median age, 3.9 vs. 2.3 years; p < 0.0001), and we observed a higher proportion of low inflammatory marker status (43.5 vs. 33.1%; p = 0.02). Furthermore, we observed a trend with a decrease in the proportion of cases with pleural effusion (5.3% during the NPI period vs. 10.9% before the NPI; p = 0.06). NPI implementation during the COVID-19 (coronavirus disease 2019) pandemic led not only to a strong decrease in the number of hCAP cases but also a modification in the clinical profile of children affected, which may reflect a change in pathogens involved.

Keywords: COVID-19; children; community-acquired pneumonia; non-pharmaceutical intervention; time series analysis.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
(A) Impact of non-pharmaceutical interventions (NPIs) on monthly number of hospitalized community-acquired pneumonia (hCAP) in children from June 2014 to December 2020 (N = 2,968). The black line shows the observed data. The bold blue slope shows the model estimates based on observed data (linear regression modeling) with confidence intervals represented as dashed lines. March 16, 2020 (start of the first lockdown), is indicated by the vertical black arrows. (B) Auto-correlation function of residuals of the main outcome model. (C) Partial auto-correlation function of residuals of the main outcome model.
Figure 2
Figure 2
(A) Impact of non-pharmaceutical interventions (NPIs) on monthly number of hospitalized community-acquired pneumonia (hCAP) in children after exclusion of respiratory syncytial virus and influenza virus cases from June 2014 to December 2020 (N = 2,968). The black line shows the observed data. The bold blue slope shows the model estimates based on observed data (linear regression modeling) with confidence intervals represented as dashed lines. March 16, 2020 (start of the first lockdown) is indicated by the vertical black arrows. (B) Auto-correlation function of residuals of the sensitivity analysis. (C) Partial auto-correlation function of residuals of the sensitivity analysis.

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