Increase in the Diagnosis and Severity of Presentation of Pediatric Type 1 and Type 2 Diabetes during the COVID-19 Pandemic.

INTRODUCTION: The impact of the COVID-19 pandemic on the incidence of pediatric type 1 (T1D) and type 2 diabetes (T2D) and severity of presentation at diagnosis is unclear. METHODS: A retrospective comparison of 737 youth diagnosed with T1D and T2D during the initial 12 months of the COVID-19 pandemic and in the preceding 2 years was conducted at a pediatric tertiary care center. RESULTS: Incident cases of T1D rose from 152 to 158 in the 2 years before the pandemic (3.9% increase) to 182 cases during the pandemic (15.2% increase). The prevalence of diabetic ketoacidosis (DKA) at T1D diagnosis increased over 3 years (41.4%, 51.9%, and 57.7%, p = 0.003); severe DKA increased during the pandemic as compared to the 2 years before (16.8% vs. 28%, p = 0.004). Although there was no difference in the mean hemoglobin A1c (HbA1c) between racial and ethnic groups at T1D diagnosis in the 2-years pre-pandemic (p = 0.31), during the pandemic HbA1c at T1D diagnosis was higher in non-Hispanic Black (NHB) youth (11.3 ± 1.4%, non-Hispanic White 10.5 ± 1.6%, Latinx 10.8 ± 1.5%, p = 0.01). Incident cases of T2D decreased from 54 to 50 cases (7.4% decrease) over the 2-years pre-pandemic and increased 182% during the pandemic (n = 141, 1.45 cases/month, p < 0.001). As compared to the 2-years pre-pandemic, cases increased most among NHB youth (56.7% vs. 76.6%, p = 0.001) and males (40.4% vs. 58.9%, p = 0.005). Cases of DKA (5.8% vs. 23.4%, p < 0.001) and hyperosmolar DKA (0 vs. 9.2%, p = 0.001) increased among youth with T2D during the pandemic. CONCLUSIONS: During the pandemic, the incidence and severity of presentation of T1D increased modestly, while incident cases of T2D increased 182%, with a nearly 6-fold increase in DKA and nearly a 10% incidence of hyperosmolar DKA. NHB youth were disproportionately impacted, raising concern about worsening of pre-existing health disparities during and after the pandemic.

The Attributable Burden of Clostridium difficile Infection to Long-Term Care Facilities Stay: A Clinical Study.

BACKGROUND: Advanced age, history of hospitalization, and antibiotic consumption are associated with the pathogenesis of Clostridium difficile infection (CDI). Long-term care facilities (LTCFs) represent a setting where CDI has been increasingly reported. We aimed to estimate the actual attributable burden of CDI to LTCF stay and determine the characteristics of the disease epidemiology in this setting. DESIGN: IRB-approved retrospective cohort study. SETTING: LTCF and community. PARTICIPANTS: One thousand seven hundred and sixty-one patients. MEASUREMENTS/RESULTS: The prevalence of CDI among LTCF residents was 22.4%, whereas the prevalence of CDI among community residents was 6.7% (P < .001). The prevalence of CDI among LTCF residents was significantly higher in both the 18-64 (P < .001) and the ≥65 age groups (P < .010). Measures of hospital exposure and antibiotic consumption between LTCF and community residents prior to CDI diagnosis were non-significant. A strict matching (1:2) between LTCF and community residents adjusting for age, total number of hospital admissions and antibiotic consumption showed that the odds of CDI for an LTCF resident were 6.89 times larger than the odds for a community resident (OR = 6.89, 95%, 4.67-10.17). For an LTCF resident with CDI, the odds of manifesting severe disease were 3.25 times larger than the odds for a community resident with CDI (OR = 3.25, 95%, 1.81-5.86). LTCF residents were more frequently hospitalized (P = .002) required longer hospital stays for their CDI management (P = .03) and had more recurrent CDI cases than community residents (P = .04). CONCLUSIONS: Our study highlights the increased burden of CDI among LTCF residents independently of age, antibiotic, and hospitalization background. Severe CDI disease and recurrences are more frequent in LTCFs.

The salivary microbiome is consistent between subjects and resistant to impacts of short-term hospitalization.

In recent years, a growing amount of research has begun to focus on the oral microbiome due to its links with health and systemic disease. The oral microbiome has numerous advantages that make it particularly useful for clinical studies, including non-invasive collection, temporal stability, and lower complexity relative to other niches, such as the gut. Despite recent discoveries made in this area, it is unknown how the oral microbiome responds to short-term hospitalization. Previous studies have demonstrated that the gut microbiome is extremely sensitive to short-term hospitalization and that these changes are associated with significant morbidity and mortality. Here, we present a comprehensive pipeline for reliable bedside collection, sequencing, and analysis of the human salivary microbiome. We also develop a novel oral-specific mock community for pipeline validation. Using our methodology, we analyzed the salivary microbiomes of patients before and during hospitalization or azithromycin treatment to profile impacts on this community. Our findings indicate that azithromycin alters the diversity and taxonomic composition of the salivary microbiome; however, we also found that short-term hospitalization does not impact the richness or structure of this community, suggesting that the oral cavity may be less susceptible to dysbiosis during short-term hospitalization.