Are we losing awareness of other infections due to the fear of coronavirus disease-2019 and MIS-C?

How the Pandemic Impacted Resource Utilization in Hospitalized Children With Bacterial Infections

We compared the quantity of labs ordered in selected hospitalized children throughout the COVID-19 pandemic. Utilization of X-ray, magnetic resonance imaging (MRI), echocardiograms, and electrocardiograms (ECG), length of stay (LOS) and timing of antibiotics were secondary outcomes. Retrospective cohort study of patients >60 days to <22 years with cellulitis, pneumonia, and urinary tract infections discharged from hospital medicine March 2018 to February 2020 (pre-) March 2020 to February 2022 (peak) and March 2022 to April 2023 (post peak). Fisher-Freeman-Halton exact test was performed for categorical variables. Kruskal-Wallis test compared continuous variables. Patients admitted peak pandemic incurred more labs and ECGs and fewer MRIs and X-rays. There were no differences in echocardiograms, LOS, or timing of antibiotics. While lab utilization returned to pre-pandemic levels, increased ECG use continued. Increased lab and ECG utilization was observed in patients with certain bacterial infections during the peak of the pandemic, likely reflective of diagnostic uncertainty.

Development and validation of the Post-Pandemic Fear of Viral Disease scale and its relationship with general anxiety disorder: a cross-sectional survey from Pakistan

BACKGROUND

Given the worldwide reach of COVID-19, media coverage has amplified the psychological and social effects of this pandemic causing a widespread fear. Despite substantial research on the short-term psychological impact of COVID-19, its long-term consequences on mental health remain relatively unexplored. This research aims to develop and validate a Post-Pandemic Fear of Viral Disease (PPFVD) scale and to see its relationship with general anxiety disorder among the Pakistani population.

METHODS

A cross-sectional online-based survey was conducted with 457 respondents in August and September 2022. We adopted the modified fear of coronavirus scale (FCV-19 S) consisting of seven items and the Generalized Anxiety Disorder (GAD) questionnaire to measure anxiety disorder. Confirmatory factor analysis was applied using the maximum likelihood estimation method. Scale dimensions and item reliability were tested for their validity and goodness of fit. SPSS and AMOS were used for data management and analyses.

RESULTS

All inter-item correlations were found to be significant and ranged between 0.30 and 0.70. The value of Cronbach's alpha was 0.887, indicating good reliability. Corrected item-total correlations ranged between 0.632 and 0.754. Factor loadings ranged from 0.664 to 0.810, indicating a good internal consistency. Overall, these results clearly demonstrate that the one-factor solution model for PPFVD presents a good fit to the data. The composite reliability (CR = 0.747) was also good.

CONCLUSIONS

The COVID-19 pandemic has negatively affected the mental health of people globally. This measurement scale can be trusted and used to test the PPFVD in the post-pandemic situation. Prospective research might validate this instrument in newly emerging scenarios and test it with diverse ethnic groups.

Diagnostic delays among COVID-19 patients with a second concurrent diagnosis

BACKGROUND

Little is known about the effect of a new pandemic on diagnostic errors.

OBJECTIVE

We aimed to identify delayed second diagnoses among patients presenting to the emergency department (ED) with COVID-19.

DESIGNS

An observational cohort Study.

SETTINGS AND PARTICIPANTS

Consecutive hospitalized adult patients presenting to the ED of a tertiary referral center with COVID-19 during the Delta and Omicron variant surges. Included patients had evidence of a second diagnosis during their ED stay.

MAIN OUTCOME AND MEASURES

The primary outcome was delayed diagnosis (without documentation or treatment in the ED). Contributing factors were assessed using two logistic regression models.

RESULTS

Among 1249 hospitalized COVID-19 patients, 216 (17%) had evidence of a second diagnosis in the ED. The second diagnosis of 73 patients (34%) was delayed, with a mean (SD) delay of 1.5 (0.8) days. Medical treatment was deferred in 63 patients (86%) and interventional therapy in 26 (36%). The probability of an ED diagnosis was the lowest for Infection-related diagnoses (56%) and highest for surgical-related diagnoses (89%). Evidence for the second diagnosis by physical examination (adjusted odds ratios [AOR] 2.35, 95% confidence interval [CI] 1.20-4.68) or by imaging (AOR 2.10, 95% CI 1.16-3.79) were predictors for ED diagnosis. Low oxygen saturation (AOR 0.38, 95% CI 0.18-0.79) and cough or dyspnea (AOR 0.48, 95% CI 0.25-0.94) in the ED were predictors of a delayed second diagnosis.