Effects of COVID-19 pandemic on healthcare-associated infections, antibiotic resistance and consumption rates in intensive care units.

Purpose: This paper aimed to evaluate the effects of the COVID-19 pandemic on healthcare-associated infections (HAIs), antibiotic resistance and consumption rates in intensive care units (ICUs) of a tertiary care university hospital. Patients and Methods: Between 1 January 2018 and 31 December 2021, adult patients diagnosed with HAIs in ICUs were investigated retrospectively. Patients were divided into pre-pandemic (2018-2019) and pandemic periods (2020-2021). Antibiotic consumption index was calculated via using the formula of (total dose (grams)/defined daily dose (DDD) x total patient days) x1000. A p value below 0.05 was accepted as statistically significant. Results: The incidence of HAIs (per 1000 patient days) in the ICU of COVID-19 patients was 16.59, while it was 13.42 in the other ICUs during the pandemic period (p=0.107). The bloodstream infection (BSI) incidence was 3.32 in the pre-pandemic period and 5.41 in the pandemic period in ICUs other than the ICU of COVID-19 patients (p<0.001). In the pandemic period, the BSI incidence rate was significantly higher in the ICU of COVID-19 patients than in the other ICUs (14.26 vs 5.41, p<0.001). Central venous catheter bloodstream infections incidence rate was 4.72 in the pre-pandemic and 7.52 in the pandemic period in ICUs other than the ICU of COVID-19 patients (p=0.0019). During the pandemic period, the bacteraemia episode rates of Acinetobacter baumannii (5.375 vs 0.984, p<0.001), Enterococcus spp. (1.635 vs 0.268, p<0.001) and Stenotrophomonas maltophilia (3.038 vs 1.297, p=0.0086) in the ICU of COVID-19 patients were significantly found higher than others. The extended-spectrum beta-lactamase (ESBL) positivity rates for Klebsiella pneumoniae and Escherichia coli were 61% and 42% in the pre-pandemic period; 73% and 69% in the pandemic period in ICUs other than the ICU of COVID-19 patients (p>0.05). In the pandemic period, the ESBL positivity rates for K. pneumoniae and E. coli were 83% and 100% in the ICU of COVID-19 patients, respectively. Meropenem (p<0.001), teicoplanin (p<0.001) and ceftriaxone (p<0.001) consumptions were increased while ciprofloxacin (p=0.003) consumption was decreased in all ICUs after the pre-pandemic period. Conclusions: BSI and CVCBSI incidence rates were significantly increased in all ICUs after the COVID-19 pandemic in our hospital. Bacteraemia episode rates of A. baumannii, Enterococcus spp. and S. maltophilia in ICU of COVID-19 patients were significantly found higher than others. In addition, meropenem, teicoplanin and ceftriaxone consumptions were increased in all ICUs after the COVID-19 pandemic.

Tocilizumab treatment in COVID-19: A prognostic study using propensity score matching.

BACKGROUND: The potential role of interleukin-6 (IL-6) in coronavirus disease 2019 (COVID-19) pneumonia provides the rationale for investigating IL-6 signaling inhibitors. OBJECTIVES: To evaluate and report treatment responses to tocilizumab (TCZ) in COVID-19 patients and compare mortality outcomes with those of standard care. MATERIAL AND METHODS: Patients hospitalized with a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, diagnosed with reverse transcription polymerase chain reaction (RT-PCR) between March 2020 and April 2021, were enrolled in this single-center retrospective cohort study. Propensity score matching was performed in order to reduce confounding effects secondary to imbalances in receiving TCZ treatment. RESULTS: A total of 364 patients were included in this study. Two hundred thirty-six patients received standard care, while 128 patients were treated with TCZ in addition to standard care (26 (20.3%) patients received a dose of 400 mg intravenously once, while 102 (79.7%) patients received a total dose of 800 mg intravenously). In the propensity score-matched population, less noninvasive mechanical ventilation (p = 0.041) and mechanical ventilation support (p = 0.015), and fewer deaths (p = 0.008) were observed among the TCZ-treated patients. The multivariate adjusted Cox regression model showed a significantly higher survival rate among TCZ patients compared to controls (hazard ratio (HR): 0.157, 95% confidence interval (95% CI): 0.026-0.951; p = 0.044). The hazard ratio for mortality in the TCZ group was 0.098 (95% CI: 0.030-0.318; p = 0.0001 using log-rank test). CONCLUSIONS: This study determined that TCZ treatment in COVID-19 patients was associated with better survival, reduced need for mechanical ventilation and reduced hospital-associated mortality.

Prognostic factors for COVID-19 patients.

INTRODUCTION: Determining prognostic factors in patients with coronavirus disease (COVID-19) can have great impact on treatment planning and follow-up strategies. Herein, we aimed to evaluate prognostic factors and clinical scores for confirmed COVID-19 patients in a tertiary-care hospital in the Bursa region of Turkey. METHODOLOGY: Patients who had been diagnosed with COVID-19 microbiologically and/or radiologically between March and October 2020 in a tertiary-care university hospital were enrolled retrospectively. Adult patients (≥ 18 years) with a clinical spectrum of moderate, severe, or critical illness were included. The dependent variable was 30-day mortality and logistic regression analysis was used to evaluate any variables with a significant p value (< 0.05) in univariate analysis. RESULTS: A total of 257 patients were included in the study. The mortality rate (30-day) was 14.4%. In logistic regression analysis, higher scores on sequential organ failure assessment (SOFA) (p < 0.001, odds ratio (OR) = 1.86, 95% CI = 1.42-2.45) and CURB-65 pneumonia severity criteria (p = 0.001, OR = 2.60, 95% CI = 1.47-4.57) were found to be significant in predicting mortality at admission. In deceased patients, there were also significant differences between the baseline, day-3, day-7, and day-14 results of D-dimer (p = 0.01), ferritin (p = 0.042), leukocyte (p = 0.019), and neutrophil (p = 0.007) counts. CONCLUSIONS: In our study of COVID-19 patients, we found that high SOFA and CURB-65 scores on admission were associated with increased mortality. In addition, D-dimer, ferritin, leukocyte and neutrophil counts significantly increased after admission in patients who died.

Association of SARS-CoV-2 cycle threshold (Ct) values with clinical course and serum biomarkers in COVID-19 patients.

INTRODUCTION: Our knowledge has gaps regarding severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) replication levels and its association to severity of Coronavirus disease 2019 (COVID-19). The aim of this study was to investigate the association of SARS-CoV-2 viral load with disease severity and serum biomarkers in COVID-19 patients. METHODOLOGY: Viral load was determined via cycle threshold (Ct) values of SARS-CoV-2 real-time reverse transcriptase-polymerase chain reaction (RT-PCR) in 214 adult patients. Ct values were compared with clinical severity, biochemical and hematological biomarkers. RESULTS: Clinical course of the disease was mild (49.1%), moderate (40.2%), and severe (10.7%). Median Ct value was 28.2 (IQR: 22.2-33.8) during the first week of the disease. Ct values were lower within five days after symptom onset [lowest Ct value on the third day (median: 24, IQR: 20.6-32.3)], but they increased significantly during the second and third weeks. No association was detected between admission Ct values and disease severity. Gender, age, co-morbidity, and mortality did not differ significantly in patients with low (≤ 25) and high (> 25) Ct values. White blood cell, neutrophil, platelet, and especially lymphocyte counts, were significantly lower in patients with low Ct values. CONCLUSIONS: No definitive/clear correlation between SARS-CoV-2 viral load and severity and mortality was found in the studied COVID-19 patients. However, neutrophil, platelet, and especially lymphocyte count were significantly lower in patients with a high viral load.

Comparison of SARS-CoV-2 Antibodies and Six Immunoassays in Pediatric and Adult Patients 12 Weeks After COVID-19.

Introduction Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-specific humoral immune persistence has been proposed to be affected by patients' characteristics. Moreover, available conflicting assay results are needed to be settled through comparative research with defined clinical specimens. Methods This prospective study investigated SARS-CoV-2-specific antibodies among 43 adults and 34 children at a mean of 12 weeks after the onset of COVID-19 symptoms using six serological assays and compared their performance. We used two Euroimmun (Euroimmun, Luebeck, Germany), two automated Roche Elecsys (Basel, Switzerland), and two rapid immuno-chromatographic Ecotest (Matrix Diagnostics, Assure Tech. (Hangzhou) Co., L, China) assays to investigate SARS-CoV-2 antibodies. Results The findings showed that the Roche Elecsys anti-S total test yielded the best positivity/sensitivity (children 94.1% and adults 93.0%; p = 0.877) while five immunoglobulin IgG targeting assays had similar positivity/sensitivity between children (88.2% to 94.1%) and adults (88.4% to 93.0%) (p > 0.05). Although IgM positivity was relatively low (p < 0.001), it was found in the majority of our pediatric and adult patients (67.6% and 86.0%, respectively; p = 0.098). SARS-CoV-2 S IgG titers were found to be higher among males in pediatric and adult groups compared to females (p = 0.027 and p = 0.041, respectively). Furthermore, we observed significantly higher antibody titers among pneumonia patients (p = 0.001). Conclusion Overall, we concluded SARS-CoV-2 antibody persistence over an average of 12 weeks after the onset of COVID-19 symptoms. While automated Roche Elecsys total antibody assays yielded the best sensitivity (> 90%) and five assays targeting IgG had acceptable performance. Patients with pneumonia and males have higher antibody titers. The effect of antibody persistence on re-infections should be monitored in longitudinal studies.