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1.
Clin Infect Dis ; 77(1): 32-37, 2023 07 05.
Article in English | MEDLINE | ID: covidwho-2327044

ABSTRACT

Mutations accumulated by novel Severe Acute Respiratory Syndrome Coronavirus 2 Omicron sublineages contribute to evasion of previously effective monoclonal antibodies for treatment or prevention of Coronavirus Disease 2019 (COVID-19). Other authorized or approved antiviral drugs such as nirmatrelvir/ritonavir, remdesivir, and molnupiravir are, however, predicted to maintain activity against these sublineages and are key tools to reduce severe COVID-19 outcomes in vulnerable populations. A stepwise approach may be taken to target the appropriate antiviral drug to the appropriate patient, beginning with identifying whether a patient is at high risk for hospitalization or other complications of COVID-19. Among higher risk individuals, patient profile (including factors such as age, organ function, and comedications) and antiviral drug access inform suitable antiviral drug selection. When applied in targeted fashion, these therapies serve as a complement to vital ongoing nonpharmaceutical interventions and vaccination strategies that reduce morbidity and maximize protection against COVID-19.


Subject(s)
COVID-19 , SARS-CoV-2 , Humans , Outpatients , Antiviral Agents/therapeutic use , Ritonavir/therapeutic use , COVID-19 Drug Treatment
6.
Anaerobe ; 70: 102384, 2021 Aug.
Article in English | MEDLINE | ID: covidwho-1240162

ABSTRACT

Testing for and incidence of Clostridioides difficile infection (CDI) was examined at a single center before and during the first surge of the COVID-19 pandemic. Incidence of CDI remained stable but testing statistically significantly decreased during the first surge despite an increase in antibiotic use. There were no new CDI-focused antimicrobial stewardship interventions introduced during this time.


Subject(s)
COVID-19/epidemiology , Clostridioides difficile/physiology , Clostridium Infections/diagnosis , Anti-Bacterial Agents/therapeutic use , Antimicrobial Stewardship , Clostridioides difficile/drug effects , Clostridioides difficile/genetics , Clostridioides difficile/isolation & purification , Clostridium Infections/drug therapy , Clostridium Infections/epidemiology , Clostridium Infections/microbiology , Humans , Pandemics
7.
Clin Infect Dis ; 72(10): e533-e541, 2021 05 18.
Article in English | MEDLINE | ID: covidwho-1232185

ABSTRACT

BACKGROUND: Antibacterials may be initiated out of concern for bacterial coinfection in coronavirus disease 2019 (COVID-19). We determined prevalence and predictors of empiric antibacterial therapy and community-onset bacterial coinfections in hospitalized patients with COVID-19. METHODS: A randomly sampled cohort of 1705 patients hospitalized with COVID-19 in 38 Michigan hospitals between 3/13/2020 and 6/18/2020. Data were collected on early (within 2 days of hospitalization) empiric antibacterial therapy and community-onset bacterial coinfections (positive microbiologic test ≤3 days). Poisson generalized estimating equation models were used to assess predictors. RESULTS: Of 1705 patients with COVID-19, 56.6% were prescribed early empiric antibacterial therapy; 3.5% (59/1705) had a confirmed community-onset bacterial infection. Across hospitals, early empiric antibacterial use varied from 27% to 84%. Patients were more likely to receive early empiric antibacterial therapy if they were older (adjusted rate ratio [ARR]: 1.04 [1.00-1.08] per 10 years); had a lower body mass index (ARR: 0.99 [0.99-1.00] per kg/m2), more severe illness (eg, severe sepsis; ARR: 1.16 [1.07-1.27]), a lobar infiltrate (ARR: 1.21 [1.04-1.42]); or were admitted to a for-profit hospital (ARR: 1.30 [1.15-1.47]). Over time, COVID-19 test turnaround time (returned ≤1 day in March [54.2%, 461/850] vs April [85.2%, 628/737], P < .001) and empiric antibacterial use (ARR: 0.71 [0.63-0.81] April vs March) decreased. CONCLUSIONS: The prevalence of confirmed community-onset bacterial coinfections was low. Despite this, half of patients received early empiric antibacterial therapy. Antibacterial use varied widely by hospital. Reducing COVID-19 test turnaround time and supporting stewardship could improve antibacterial use.


Subject(s)
COVID-19 , Coinfection , Anti-Bacterial Agents/therapeutic use , Cohort Studies , Coinfection/drug therapy , Coinfection/epidemiology , Hospitalization , Hospitals , Humans , Michigan , SARS-CoV-2
8.
Am J Infect Control ; 49(11): 1343-1349, 2021 11.
Article in English | MEDLINE | ID: covidwho-1213007

ABSTRACT

BACKGROUND: Nursing home (NH) populations have borne the brunt of morbidity and mortality of COVID-19. We surveyed Michigan NHs to evaluate preparedness, staffing, testing, and adaptations to these challenges. METHODS: Interpandemic survey responses were collected May 1-12, 2020. We used Pearson's Chi-squared test, Fisher's exact test, and logistic regression to evaluate relationships. RESULTS: Of 452 Michigan NHs contacted via e-mail, 145 (32.1%) opened the survey and of these, 143 (98.6%) responded. Sixty-eight percent of respondents indicated their response plan addressed most issues. NHs reported receiving rapidly changing guidance from many sources. Two-thirds reported shortages of personal protective equipment and other supplies. Half (50%) lacked sufficient testing resources with only 36% able to test residents and staff with suspected COVID-19. A majority (55%) experienced staffing shortages. Sixty-three percent experienced resignations, with front-line clinical staff more likely to resign, particularly in facilities caring for COVID-19 patients (P < .001). Facilities adapted quickly, creating COVID-19 units (78%) to care for patients on site. To reduce isolation, NHs facilitated communication via phone calls (98%), videoconferencing (96%), and window visits (81%). A majority continued to provide requisite therapies (90%). CONCLUSIONS: NHs experienced shortages of resources, testing supplies, and staffing challenges. COVID-19 in the facility was a key predictor of staff resignations. Facilities relied on rapidly changing, often conflicting advice from multiple sources, suggesting high-yield areas of improvement.


Subject(s)
COVID-19 , Humans , Michigan , Nursing Homes , SARS-CoV-2 , Surveys and Questionnaires
10.
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