A scoping review of bacterial resistance among inpatients amidst the COVID-19 pandemic.

OBJECTIVES: The COVID-19 pandemic disrupted antimicrobial stewardship and infection prevention operations worldwide, raising concerns for an acceleration of antimicrobial resistance (AMR). Therefore, we aimed to define the scope of peer reviewed research comparing AMR in inpatient bacterial clinical cultures before and after the start of the COVID-19 pandemic. METHODS: We conducted a scoping review and searched PubMed, Scopus, and Web of Science through 15 June 2023. Our inclusion criteria were: (1) English language, (2) primary evidence, (3) peer-reviewed, (4) clinical culture data from humans, (5) AMR data for at least one bacterial order/species, (6) inpatient setting, (7) use of statistical testing to evaluate AMR data before and during the COVID-19 pandemic. Reviewers extracted country, study design, type of analysis, study period, setting and population, number of positive cultures or isolates, culture type(s), method of AMR analysis, organisms, and AMR results. Study results were organised by organism and antibiotic class or resistance mechanism. AMR results are also summarised by individual study and across all studies. RESULTS: In total, 4805 articles were identified with 55 papers meeting inclusion criteria. Acinetobacter baumannii, Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, and Staphylococcus aureus were the most commonly studied organisms. There were 464 bacterial AMR results across all studies with 82 (18%) increase, 71 (15%) decrease, and 311 (67%) no change results. CONCLUSIONS: The literature examining the impact of COVID-19 on AMR among inpatients is diverse with most results reflecting no change pre/post pandemic. Ongoing inquiry is needed into evolving patterns in AMR post COVID-19.

Dysphagia Is an Underrecognized Risk Factor for Viral Pneumonia Severity.

The aim of this study was to examine the role of pre-existing dysphagia as a risk factor for COVID-19 severity among adults ≥50 years of age presenting to the emergency department (ED). This was a retrospective cohort study that used electronic health record data from two Midwestern EDs in the same health care system. The sample included patients ≥50 years of age who tested positive for SARS-COV-2 during an ED visit between March 15, 2020 and November 19, 2020. Patients were dichotomized based on documented history of dysphagia. The primary outcome was the highest World Health Organization COVID-19 clinical severity score within 30-days of ED arrival. Patients with a score of <4 were classified as non-severe whereas a score ≥4 was considered severe. Chi-square tests were used to assess differences in clinical severity scores between patients with and without dysphagia. A logistic regression model was created to estimate the odds of a severe COVID-19 clinical score. The sample included 126 patients without dysphagia and 40 patients with dysphagia. Patients with a history of dysphagia were more likely to develop severe COVID-19 disease compared to patients without (65.0% vs. 41.3%, p = 0.015). In multivariable analysis, patients with preexisting dysphagia (OR 2.38, 95% CI: 1.05-5.42; p = 0.038) and diabetes (OR 2.42 95% CI: 1.15-5.30; p = 0.021) had significantly increased odds of developing severe COVID-19. This study showed that a pre-existing diagnosis of dysphagia was independently associated with COVID-19 severity in adults ≥50 years of age.

Validation of Thermal Imaging and the ALT-70 Prediction Model to Differentiate Cellulitis From Pseudocellulitis.

Importance: Cellulitis is misdiagnosed in up to 30% of cases due to mimic conditions termed pseudocellulitis. The resulting overuse of antibiotics is a threat to patient safety and public health. Surface thermal imaging and the ALT-70 (asymmetry, leukocytosis, tachycardia, and age ≥70 years) prediction model have been proposed as tools to help differentiate cellulitis from pseudocellulitis. Objectives: To validate differences in skin surface temperatures between patients with cellulitis and patients with pseudocellulitis, assess the optimal temperature measure and cut point for differentiating cellulitis from pseudocellulitis, and compare the performance of skin surface temperature and the ALT-70 prediction model in differentiating cellulitis from pseudocellulitis. Design, Setting, and Participants: This prospective diagnostic validation study was conducted among patients who presented to the emergency department with acute dermatologic lower extremity symptoms from October 11, 2018, through March 11, 2020. Statistical analysis was performed from July 2020 to March 2021 with additional work conducted in September 2023. Main Outcomes and Measures: Temperature measures for affected and unaffected skin were obtained. Cellulitis vs pseudocellulitis was assessed by a 6-physician, independent consensus review. Differences in temperature measures were compared using the t test. Logistic regression was used to identify the temperature measure and associated cut point with the optimal performance for discriminating between cellulitis and pseudocellulitis. Diagnostic performance characteristics for the ALT-70 prediction model, surface skin temperature, and both combined were also assessed. Results: The final sample included 204 participants (mean [SD] age, 56.6 [16.5] years; 121 men [59.3%]), 92 (45.1%) of whom had a consensus diagnosis of cellulitis. There were statistically significant differences in all skin surface temperature measures (mean temperature, maximum temperature, and gradients) between cellulitis and pseudocellulitis. The maximum temperature of the affected limb for patients with cellulitis was 33.2 °C compared with 31.2 °C for those with pseudocellulitis (difference, 2.0 °C [95% CI, 1.3-2.7 °C]; P < .001). The maximum temperature was the optimal temperature measure with a cut point of 31.2 °C in the affected skin, yielding a mean (SD) negative predictive value of 93.5% (4.7%) and a sensitivity of 96.8% (2.3%). The sensitivity of all 3 measures remained above 90%, while specificity varied considerably (ALT-70, 22.0% [95% CI, 15.8%-28.1%]; maximum temperature of the affected limb, 38.4% [95% CI, 31.7%-45.1%]; combination measure, 53.9% [95% CI, 46.5%-61.2%]). Conclusions and Relevance: In this large diagnostic validation study, significant differences in skin surface temperature measures were observed between cases of cellulitis and cases of pseudocellulitis. Thermal imaging and the ALT-70 both demonstrated high sensitivity, but specificity was improved by combining the 2 measures. These findings support the potential of thermal imaging, alone or in combination with the ALT-70 prediction model, as a diagnostic adjunct that may reduce overdiagnosis of cellulitis.

Diagnostic testing and antibiotic utilization among inpatients evaluated for coronavirus disease 2019 (COVID-19) pneumonia.

We evaluated diagnostic test and antibiotic utilization among 252 patients from 11 US hospitals who were evaluated for coronavirus disease 2019 (COVID-19) pneumonia during the severe acute respiratory coronavirus virus 2 (SARS-CoV-2) omicron variant pandemic wave. In our cohort, antibiotic use remained high (62%) among SARS-CoV-2-positive patients and even higher among those who underwent procalcitonin testing (68%).