Trends in Prevalence of Bacterial Infections in Febrile Infants During the COVID-19 Pandemic.

OBJECTIVES: Our objective was to describe the prevalence of urinary tract infection (UTI) and invasive bacterial infection (IBI) in febrile infants during the coronavirus disease 2019 pandemic. METHODS: We conducted a multicenter cross-sectional study that included 97 hospitals in the United States and Canada. We included full-term, well-appearing infants 8 to 60 days old with a temperature of ≥38°C and an emergency department visit or hospitalization at a participating site between November 1, 2020 and March 31, 2022. We used logistic regression to determine trends in the odds of an infant having UTI and IBI by study month and to determine the association of COVID-19 prevalence with the odds of an infant having UTI and IBI. RESULTS: We included 9112 infants; 603 (6.6%) had UTI, 163 (1.8%) had bacteremia without meningitis, and 43 (0.5%) had bacterial meningitis. UTI prevalence decreased from 11.2% in November 2020 to 3.0% in January 2022. IBI prevalence was highest in February 2021 (6.1%) and decreased to 0.4% in January 2022. There was a significant downward monthly trend for odds of UTI (odds ratio [OR] 0.93; 95% confidence interval [CI]: 0.91-0.94) and IBI (OR 0.90; 95% CI: 0.87-0.93). For every 5% increase in COVID-19 prevalence in the month of presentation, the odds of an infant having UTI (OR 0.97; 95% CI: 0.96-0.98) or bacteremia without meningitis decreased (OR 0.94; 95% CI: 0.88-0.99). CONCLUSIONS: The prevalence of UTI and IBI in eligible febrile infants decreased to previously published, prepandemic levels by early 2022. Higher monthly COVID-19 prevalence was associated with lower odds of UTI and bacteremia.

Reassessing the Performance of the "Step-By-Step" Approach to Febrile Infants 90 Days of Age and Younger in the Context of the COVID-19 Pandemic: A Multicentric Retrospective Study.

BACKGROUND: Infants with COVID-19 can often present with fever without source, which is a challenging situation in infants <90 days old. The "step-by-step" algorithm has been proposed to identify children at high risk of bacterial infection. In the context of the COVID-19 pandemic, we aimed to reassess the diagnostic performance of this algorithm. METHODS: We performed a multicentric retrospective study in 3 French pediatric emergency departments between 2018 and 2020. We applied the "step-by-step" algorithm to 4 clinical entities: COVID-19, febrile urinary tract infections (FUTI), invasive bacterial infection (IBI), and enterovirus infections. The main outcome was the proportion of infants classified at high risk (ill-appearing, ≤21 days old, with leukocyturia or procalcitonin level ≥0.5 ng/mL). RESULTS: Among the 199 infants included, 40 had isolated COVID-19, 25 had IBI, 60 had FUTI, and 74 had enterovirus infection. All but 1 infant with bacterial infection were classified at high risk (96% for IBI and 100% for FUTI) as well as 95% with enterovirus and 82% with COVID-19. Infants with COVID-19 were classified at high risk because an ill-appearance (72%), an age ≤21 days (27%), or leukocyturia (19%). All these infants had procalcitonin values <0.5 ng/mL and only 1 had C-reactive protein level >20 mg/L. CONCLUSIONS: The "step-by-step" algorithm remains effective to identify infants with bacterial infection but misclassifies most infants with COVID-19 as at high risk of bacterial infection leading to unnecessary cares. An updated algorithm based adding viral testing may be needed to discriminate fever related to isolated COVID-19 in infants <90 days old.

Brucellosis in a patient diagnosed with Coronavirus Disease 2019 (COVID-19).

Brucellosis is a common zoonotic infection. Brucellosis typically presents with fever, weakness, night sweats, and arthralgias. Symptoms associated with Coronavirus Disease 2019 (COVID-19) and infection with Brucella spp. are similar to one another, which may lead to delayed diagnosis of the latter condition. There are no previous reports of brucellosis in a patient previously diagnosed with COVID-19. We present here the case of a 20-year-old male who we diagnosed with brucellosis after joint pains and fever that persisted after resolution of COVID-19.

SARS-CoV-2 Among Infants <90 Days of Age Admitted for Serious Bacterial Infection Evaluation.

OBJECTIVES: To determine the prevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in infants hospitalized for a serious bacterial infection (SBI) evaluation and clinically characterize young infants with SARS-CoV-2 infection. METHODS: A retrospective chart review was conducted on infants <90 days of age hospitalized for an SBI evaluation. The study was conducted at 4 inpatient facilities in New York City from March 15, 2020, to December 15, 2020. RESULTS: We identified 148 SBI evaluation infants who met inclusion criteria. A total of 22 infants (15%) tested positive for SARS-CoV-2 by nasopharyngeal reverse transcription polymerase chain reaction; 31% of infants admitted during periods of high community SARS-CoV-2 circulation tested positive for SARS-CoV-2, compared with 3% when community SARS-CoV-2 circulation was low (P < .001). The mean age of infants with SARS-CoV-2 was higher than that of SARS-CoV-2-negative infants (33 [SD: 17] days vs 23 [SD: 23] days, respectively; P = .03), although no age difference was observed when analysis was limited only to febrile infants. An isolated fever was the most common presentation of SARS-CoV-2 (n = 13; 59%). Admitted infants with SARS-CoV-2 were less likely to have positive urine culture results (n = 1 [5%] versus n = 25 [20%], respectively; P = .002), positive cerebrospinal culture results (n = 0 [0%] versus n = 5 [4%], respectively; P = .02), or be admitted to intensive care (n = 2 [9%] versus n = 47 [37%]; P < .001), compared with infants without SARS-CoV-2. CONCLUSIONS: SARS-CoV-2 was common among young infants hospitalized for an SBI evaluation during periods of high but not low community SARS-CoV-2 circulation in New York City, although most infants did not require intensive care admission.

The African Network for Improved Diagnostics, Epidemiology and Management of common infectious Agents.

BACKGROUND: In sub-Saharan Africa, acute respiratory infections (ARI), acute gastrointestinal infections (GI) and acute febrile disease of unknown cause (AFDUC) have a large disease burden, especially among children, while respective aetiologies often remain unresolved. The need for robust infectious disease surveillance to detect emerging pathogens along with common human pathogens has been highlighted by the ongoing novel coronavirus disease 2019 (COVID-19) pandemic. The African Network for Improved Diagnostics, Epidemiology and Management of Common Infectious Agents (ANDEMIA) is a sentinel surveillance study on the aetiology and clinical characteristics of ARI, GI and AFDUC in sub-Saharan Africa. METHODS: ANDEMIA includes 12 urban and rural health care facilities in four African countries (Côte d'Ivoire, Burkina Faso, Democratic Republic of the Congo and Republic of South Africa). It was piloted in 2018 in Côte d'Ivoire and the initial phase will run from 2019 to 2021. Case definitions for ARI, GI and AFDUC were established, as well as syndrome-specific sampling algorithms including the collection of blood, naso- and oropharyngeal swabs and stool. Samples are tested using comprehensive diagnostic protocols, ranging from classic bacteriology and antimicrobial resistance screening to multiplex real-time polymerase chain reaction (PCR) systems and High Throughput Sequencing. In March 2020, PCR testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and analysis of full genomic information was included in the study. Standardised questionnaires collect relevant clinical, demographic, socio-economic and behavioural data for epidemiologic analyses. Controls are enrolled over a 12-month period for a nested case-control study. Data will be assessed descriptively and aetiologies will be evaluated using a latent class analysis among cases. Among cases and controls, an integrated analytic approach using logistic regression and Bayesian estimation will be employed to improve the assessment of aetiology and associated risk factors. DISCUSSION: ANDEMIA aims to expand our understanding of ARI, GI and AFDUC aetiologies in sub-Saharan Africa using a comprehensive laboratory diagnostics strategy. It will foster early detection of emerging threats and continued monitoring of important common pathogens. The network collaboration will be strengthened and site diagnostic capacities will be reinforced to improve quality management and patient care.