Incidence of Chronic Kidney Disease Following Acute Coronavirus Disease 2019 Based on South Carolina Statewide Data.

BACKGROUND: Coronavirus disease 2019 (COVID-19) was associated with severe acute illness including multiple organ failure. Acute kidney injury (AKI) was a common finding, often requiring dialysis support. OBJECTIVE: Define the incidence of new clinically identified chronic kidney disease (CKD) among patients with COVID-19 and no pre-existing kidney disease. DESIGN PARTICIPANTS: The South Carolina (SC) Department of Health and Environmental Control (DHEC) COVID-19 mandatory reporting registry of SC residents testing for COVID-19 between March 2020 and October 2021 was included. DESIGN MAIN MEASURES: The primary outcome was a new incidence of a CKD diagnosis (N18.x) in those without a pre-existing diagnosis of CKD during the follow-up period of March 2020 to January 14, 2022. Patients were stratified by severity of illness (hospitalized or not, intensive care unit needed or not). The new incidence of CKD diagnosis was examined using logistic regression and cox proportional hazards analyses. KEY RESULTS: Among patients with COVID-19 (N = 683,958) without a pre-existing CKD diagnosis, 8322 (1.2 %) were found to have a new diagnosis of CKD. The strongest predictors for subsequent CKD diagnosis were age ≥ 60 years hazard ratio (HR) 31.5 (95% confidence interval [95%CI] 25.5-38.8), and intervening (between COVID-19 and CKD diagnoses) AKI diagnosis HR 20.7 (95%CI 19.7-21.7). The presence of AKI was associated with an HR of 23.6, 95% CI 22.3-25.0, among those not hospitalized, and HR of 6.2, 95% CI 5.7-6.8 among those hospitalized, for subsequent CKD. COVID-19 was not significantly associated with subsequent CKD after accounting for the severity of illness and comorbidities. CONCLUSION: Among SC residents, COVID-19 was not associated with CKD independent from indicators of the severity of illness, especially AKI diagnosis. Kidney-specific follow-up testing may be reserved for those high-risk for CKD development. Further prospective registries should examine the long-term kidney consequences to confirm these findings.

Clinical Profile of COVID-19 Positive Neonates in a Tertiary Care Hospital

Objective: To evaluate clinical profiles of COVID-19 neonates and compare early onset (<7 days) vs late onset (>=7 days) COVID. Method(s): Prospective observational study conducted among the neonates who were at risk or COVID-19 positive and who were admitted consecutively in one year (from June 2020 to May 2021) to evaluate their clinical status. At risk neonates underwent RT-PCR for oropharyngeal swab within 24 to 48 hours of life (inborn) or after admission (outborn). Result(s): Out of 351 at risk neonates, 106 babies came positive (early = 35.4% and late = 64.6%). Twelve (11.3%) cases were positive within 24 to 48 hours of life, indicating perinatal transmission. A total of 62 (58.4%) positive newborns were symptomatic. In their clinical course, there was Respiratory distress in 33(31.1%), diarrhoea in 7 (6.6%), poor feeding or lethargy in 24 (23.1%), fever in 19 (17.9 %) neonates. One baby developed COVID MIS-N. Early onset group was more symptomatic (P value <.05) but late onset group had a longer hospital stay (Spearman's rho <0.5) and increased duration of oxygen requirement (t-test sig. [2-tailed] < 0.05). Conclusion(s): There is high incidence of perinatal transmission. Early onset group was more symptomatic but late onset group had increased duration of oxygen requirement and longer hospital stay. Copyright © 2022 National Neonatology Forum.

COVID-19: relationship between atmospheric temperature and daily new cases growth rate.

Purpose: The novel coronavirus (severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2)) first appeared in Wuhan, China, in December 2019, and rapidly spread across the globe. Since most respiratory viruses are known to show a seasonal pattern of infection, it has been hypothesised that SARS-CoV-2 may be seasonally dependent as well. The present study looks at a possible effect of atmospheric temperature, which is one of the suspected factors influencing seasonality, on the evolution of the pandemic. Basic procedures: Since confirming a seasonal pattern would take several more months of observation, we conducted an innovative day-to-day micro-correlation analysis of nine outbreak locations, across four continents and both hemispheres, in order to examine a possible relationship between atmospheric temperature (used as a proxy for seasonality) and outbreak progression. Main findings: There was a negative correlation between atmospheric temperature variations and daily new cases growth rates, in all nine outbreaks, with a median lag of 10 days. Principal conclusions: The results presented here suggest that high temperatures might dampen SARS-CoV-2 propagation, while lower temperatures might increase its transmission. Our hypothesis is that this could support a potential effect of atmospheric temperature on coronavirus disease progression, and potentially a seasonal pattern for this virus, with a peak in the cold season and rarer occurrences in the summer. This could guide government policy in both the Northern and Southern hemispheres for the months to come.