ABSTRACT
Background. Increased prescribing of antibiotics commonly used for respiratory infections, including azithromycin, ceftriaxone, and doxycycline was observed in nursing homes (NH) during the COVID-19 pandemic however antibiotic prescribing was not linked to resident diagnosis. Therefore, our objective was to characterize antibiotic prescribing in residents with SARS-CoV-2 infection in a large cohort of US NHs. Methods. We conducted a retrospective cohort study using PointClickCare (PCC) data containing longitudinal NH electronic health records. We included 4,891 NHs that reported >=1 medication order/month from April 2020-November 2021. We identified the first onset of SARS-CoV-2 infection using ICD-10-CM diagnosis code U07.1. To validate the number of SARS-CoV-2 infections per facility captured in PCC, we compared the total number of SARS-CoV-2 infections documented in PCC to those reported to the National Healthcare Safety Network (NHSN). Antibiotic orders were determined to be associated with a SARS-CoV-2 infection if 3 days before or <=7 days after diagnosis. We characterized the proportion of residents with a SARS-CoV-2 infection with an associated antibiotic by month. Results. We included 2,086 (43%) NHs that had <=20% difference in total number of SARS-CoV-2 infections documented in PCC and reported to NHSN. From April 2020-November 2021, a total of 118,180 residents with a SARS-CoV-2 infection were identified and 24% had an associated antibiotic prescription (N=27,972). The highest prescription rate (30%, 95% Confidence Interval [29%-31%]) was observed in April 2020 and varied by less than 8% from May 2020-November 2021 (Fig.1). The most commonly prescribed antibiotics were azithromycin (53%), doxycycline (13%) and ceftriaxone (10%). Conclusion. An antibiotic prescription was linked to up to a quarter of NH residents with SARS-CoV-2 infection, highlighting potential opportunities for avoiding unnecessary antibiotic prescribing for viral infections in NHs. Appropriate antibiotic prescribing in NH populations is important to reduce potential harm when antibiotics offer no treatment benefit to the resident. Identifying facility-level characteristics that lead to variability in antibiotic prescribing is a next step to inform antibiotic stewardship interventions.
ABSTRACT
The objective of the article was to assess whether there might be a possible association between COVID-19 cleaning recommendations from public health agencies and the media and the number of chemical exposures reported to the National Poison Data System. CDC and the American Association of Poison Control Centers surveillance team compared the number of exposures reported for the period January-March 2020 with the number of reports during the same 3-month period in 2018 and 2019. Fifty-five poison centers in the United States provide free, 24-hour professional advice and medical management information regarding exposures to poisons, chemicals, drugs, and medications. During January-March 2020, poison centers received 45,550 exposure calls related to cleaners (28,158) and disinfectants (17,392), representing overall increases of 20.4% and 16.4% from January-March 2019 (37,822) and January-March 2018 (39,122), respectively. Although NPDS data do not provide information showing a definite link between exposures and COVID-19 cleaning efforts, there appears to be a clear temporal association with increased use of these products.
ABSTRACT
Evidence suggests that potential health complications after COVID-19 illness might require ongoing clinical care. After discharge from an initial COVID-19 hospitalization, 9% of patients were readmitted to the same hospital within 2 months of discharge. Multiple readmissions occurred in 1.6% of patients. Risk factors for readmission included age =65 years, presence of certain chronic conditions, hospitalization within the 3 months preceding the first COVID-19 hospitalization, and discharge to a skilled nursing facility or with home health care. Understanding frequency of, and potential reasons for, readmission after a COVID-19 hospitalization can inform clinical practice, discharge disposition decisions, and public health priorities, such as health care resource planning.
ABSTRACT
What is already known about this topic? Obesity increases the risk for severe COVID-19-associated illness. What is added by this report? Among 148,494 U.S. adults with COVID-19, a nonlinear relationship was found between body mass index (BMI) and COVID-19 severity, with lowest risks at BMIs near the threshold between healthy weight and overweight in most instances, then increasing with higher BMI. Overweight and obesity were risk factors for invasive mechanical ventilation. Obesity was a risk factor for hospitalization and death, particularly among adults aged <65 years. What are the implications for public health practice? These findings highlight clinical and public health implications of higher BMIs, including the need for intensive management of COVID-19-associated illness, continued vaccine prioritization and masking, and policies to support healthy behaviors.