Clinical outcomes of COVID-19 caused by the Alpha variant compared with one by wild type in Kobe, Japan. A multi-center nested case-control study.

OBJECTIVES: The emergence of the Alpha variant of novel coronavirus 2019 (SARS-CoV-2) is a concerning issue but their clinical implications have not been investigated fully. METHODS: We conducted a nested case-control study to compare severity and mortality caused by the Alpha variant (B.1.1.7) with the one caused by the wild type as a control from December 2020 to March 2021, using whole-genome sequencing. 28-day mortality and other clinically important outcomes were evaluated. RESULTS: Infections caused by the Alpha variant were associated with an increase in the use of oxygen (43.4% vs 26.3%. p = 0.017), high flow nasal cannula (21.2% vs 4.0%, p = 0.0007), mechanical ventilation (16.2% vs 6.1%, p = 0.049), ICU care (30.3% vs 14.1%, p = 0.01) and the length of hospital stay (17 vs 10 days, p = 0.031). More patients with the Alpha variant received medications such as dexamethasone. However, the duration of each modality did not differ between the 2 groups. Likewise, there was no difference in 28-day mortality between the 2 groups (12% vs 8%, p = 0.48), even after multiple sensitivity analyses, including propensity score analysis. CONCLUSION: The Alpha variant was associated with a severe form of COVID-19, compared with the non-Alpha wild type, but might not be associated with higher mortality.

Clinical characteristics of patients with coronavirus disease 2019-associated pulmonary aspergillosis on mechanical ventilation: A single-center retrospective study in Japan.

BACKGROUND: Aspergillus is one of the important pathogens that contribute to high mortality in patients with coronavirus disease 2019 (COVID-19) in intensive care units (ICUs). Although incidence rates of Aspergillus coinfection are high globally, a Japanese national survey reported a low incidence. This study aimed to describe the clinical characteristics of patients with COVID-19-associated pulmonary aspergillosis at our institute. METHODS: We identified patients with microbiologically confirmed COVID-19 on mechanical ventilation in the ICU. Of these patients, we identified patients in whom Aspergillus was cultured from the respiratory specimen. RESULTS: Of a total of 169 patients, seven had aspergillosis (4.1%), which included three patients, three patients, and one patient with possible, probable, and proven aspergillosis, respectively, according to the criteria of the European Confederation of Medical Mycology International Society. All patients received systemic steroid therapy. Two patients (one each with proven and probable aspergillosis) had tracheobronchitis diagnosed by bronchoscopy. All patients in whom Aspergillus was repeatedly isolated from samples died. The mortality rates for all cases and probable and proven cases were 57% (4/7) and 75% (3/4), respectively. CONCLUSIONS: The incidence rate of aspergillosis in patients with COVID-19 in the ICU was higher in our institute than that reported by a Japanese national survey (4.1% vs. 0.5%). Repeated detection of Aspergillus might suggest a true Aspergillus infection, such as chronic aspergillosis, rather than colonization. In patients with severe COVID-19 patients, it is important to always keep CAPA in mind.

A pseudo-outbreak of COVID-19 associated pulmonary aspergillosis: a microbiological investigation of both the patients and the environment.

Background: We experienced a pseudo-outbreak of aspergillosis in a newly constructed COVID-19 ward. Within the first 3 months from the commencement of the ward, six intubated patients of COVID-19 developed probable or possible pulmonary aspergillosis. We suspected an outbreak of pulmonary aspergillosis associated with ward construction and launched air sampling for the investigation of the relationship between these. Methods: The samples were collected at 13 locations in the prefabricated ward and three in the general wards, not under construction, as a control. Results: The results from samples revealed different species of Aspergillus from those detected by the patients. Aspergillus sp. was detected not only from the air samples in the prefabricated ward but also in the general ward. Discussion: In this investigation, we could not find evidence of the outbreak that links the construction of the prefabricated ward with the occurrence of pulmonary aspergillosis. It might suggest that this series of aspergillosis was more likely occurred from fungi that inherently colonized patients, and was associated with patient factors such as severe COVID-19 rather than environmental factors. Once an outbreak originating from building construction is suspected, it is important to conduct an environmental investigation including an air sampling.

Cold agglutinin anti-I antibodies in two patients with COVID-19.

BACKGROUND: Cold agglutinin syndrome (CAS) is associated with various diseases. Several studies of CAS associated with coronavirus disease 2019 (COVID-19) reported hemolytic anemia and thrombosis; however, the clinical significance of cold agglutinins (CA) in patients with COVID-19 is unclear. Here, we present two cases of CA identified in the context of COVID-19 without hemolytic anemia and clotting. CASE REPORT AND DISCUSSION: Two patients with no known risk factors for CA were diagnosed with COVID-19; peripheral blood smears reveal red blood cells (RBCs) agglutination. These patients showed a high CA titer. We confirmed retrospectively that the CA was an anti-I antibody. The two COVID-19 cases with a high CA titer showed no hemolysis or thrombosis. Mycoplasma pneumoniae is known to cause CAS, but not all patients who have a high CA titer show hemolysis. Coagulation abnormalities are documented in severe COVID-19 cases. Although CA increases the risk of thrombosis in those with lymphoproliferative diseases, the role of anti-I antibodies in COVID-19 is unclear. The impact of CAS on clinical presentations in COVID-19 remains a matter of verification. CONCLUSIONS: A high CA titer was identified in COVID-19 patients without hemolytic anemia and clotting. Anti-I antibodies were identified. Further studies are required to clarify the pathophysiology of CA in COVID-19.

Viral Coinfection is Associated with Improved Outcomes in Emergency Department Patients with SARS-CoV-2.

INTRODUCTION: Coinfection with severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) and another virus may influence the clinical trajectory of emergency department (ED) patients. However, little empirical data exists on the clinical outcomes of coinfection with SARS-CoV-2 METHODS: In this retrospective cohort analysis, we included adults presenting to the ED with confirmed, symptomatic coronavirus 2019 who also underwent testing for additional viral pathogens within 24 hours. To investigate the association between coinfection status with each of the outcomes, we performed logistic regression. RESULTS: Of 6,913 ED patients, 5.7% had coinfection. Coinfected individuals were less likely to experience index visit or 30-day hospitalization (odds ratio [OR] 0.57; 95% confidence interval [CI], 0.36-0.90 and OR 0.39; 95% CI, 0.25-0.62, respectively). CONCLUSION: Coinfection is relatively uncommon in symptomatic ED patients with SARS-CoV-2 and the clinical short- and long-term outcomes are more favorable in coinfected individuals.

Association of obesity and its genetic predisposition with the risk of severe COVID-19: Analysis of population-based cohort data.

OBJECTIVE: We aimed to examine the associations of obesity-related traits (body mass index [BMI], central obesity) and their genetic predisposition with the risk of developing severe COVID-19 in a population-based data. RESEARCH DESIGN AND METHODS: We analyzed data from 489,769 adults enrolled in the UK Biobank-a population-based cohort study. The exposures of interest are BMI categories and central obesity (e.g., larger waist circumference). Using genome-wide genotyping data, we also computed polygenic risk scores (PRSs) that represent an individual's overall genetic risk for each obesity trait. The outcome was severe COVID-19, defined by hospitalization for laboratory-confirmed COVID-19. RESULTS: Of 489,769 individuals, 33% were normal weight (BMI, 18.5-24.9 kg/m2), 43% overweight (25.0-29.9 kg/m2), and 24% obese (≥30.0 kg/m2). The UK Biobank identified 641 patients with severe COVID-19. Compared to adults with normal weight, those with a higher BMI had a dose-response increases in the risk of severe COVID-19, with the following adjusted ORs: for 25.0-29.9 kg/m2, 1.40 (95%CI 1.14-1.73; P = 0.002); for 30.0-34.9 kg/m2, 1.73 (95%CI 1.36-2.20; P < 0.001); for 35.0-39.9 kg/m2, 2.82 (95%CI 2.08-3.83; P < 0.001); and for ≥40.0 kg/m2, 3.30 (95%CI 2.17-5.03; P < 0.001). Likewise, central obesity was associated with significantly higher risk of severe COVID-19 (P < 0.001). Furthermore, larger PRS for BMI was associated with higher risk of outcome (adjusted OR per BMI PRS Z-score 1.14, 95%CI 1.05-1.24; P = 0.004). CONCLUSIONS: In this large population-based cohort, individuals with more-severe obesity, central obesity, or genetic predisposition for obesity are at higher risk of developing severe-COVID-19.

Longitudinal Changes in Early Nasal Microbiota and the Risk of Childhood Asthma.

OBJECTIVES: Although the airway microbiota is a highly dynamic ecology, the role of longitudinal changes in airway microbiota during early childhood in asthma development is unclear. We aimed to investigate the association of longitudinal changes in early nasal microbiota with the risk of developing asthma. METHODS: In this prospective, population-based birth cohort study, we followed children from birth to age 7 years. The nasal microbiota was tested by using 16S ribosomal RNA gene sequencing at ages 2, 13, and 24 months. We applied an unsupervised machine learning approach to identify longitudinal nasal microbiota profiles during age 2 to 13 months (the primary exposure) and during age 2 to 24 months (the secondary exposure) and examined the association of these profiles with the risk of physician-diagnosed asthma at age 7 years. RESULTS: Of the analytic cohort of 704 children, 57 (8%) later developed asthma. We identified 4 distinct longitudinal nasal microbiota profiles during age 2 to 13 months. In the multivariable analysis, compared with the persistent Moraxella dominance profile during age 2 to 13 months, the persistent Moraxella sparsity profile was associated with a significantly higher risk of asthma (adjusted odds ratio, 2.74; 95% confidence interval, 1.20-6.27). Similar associations were observed between the longitudinal changes in nasal microbiota during age 2 to 24 months and risk of asthma. CONCLUSIONS: Children with an altered longitudinal pattern in the nasal microbiota during early childhood had a high risk of developing asthma. Our data guide the development of primary prevention strategies (eg, early identification of children at high risk and modification of microbiota) for childhood asthma. These observations present a new avenue for risk modification for asthma (eg, microbiota modification).

Respiratory viruses are associated with serum metabolome among infants hospitalized for bronchiolitis: A multicenter study.

BACKGROUND: Bronchiolitis is the leading cause of infant hospitalizations in the United States. Growing evidence supports the heterogeneity of bronchiolitis. However, little is known about the interrelationships between major respiratory viruses (and their species), host systemic metabolism, and disease pathobiology. METHODS: In an ongoing multicenter prospective cohort study, we profiled the serum metabolome in 113 infants (63 RSV-only, 21 RV-A, and 29 RV-C) hospitalized with bronchiolitis. We identified serum metabolites that are most discriminatory in the RSV-RV-A and RSV-RV-C comparisons using sparse partial least squares discriminant analysis. We then investigated the association between discriminatory metabolites with acute and chronic outcomes. RESULTS: In 113 infants with bronchiolitis, we measured 639 metabolites. Serum metabolomic profiles differed in both comparisons (Ppermutation  < 0.05). In the RSV-RV-A comparison, we identified 30 discriminatory metabolites, predominantly in lipid metabolism pathways (eg, sphingolipids and carnitines). In multivariable models, these metabolites were significantly associated with the risk of clinical outcomes (eg, tricosanoyl sphingomyelin, OR for recurrent wheezing at age of 3 years = 1.50; 95% CI: 1.05-2.15). In the RSV-RV-C comparison, the discriminatory metabolites were also primarily involved in lipid metabolism (eg, glycerophosphocholines [GPCs], 12,13-diHome). These metabolites were also significantly associated with the risk of outcomes (eg, 1-stearoyl-2-linoleoyl-GPC, OR for positive pressure ventilation use during hospitalization = 0.47; 95% CI: 0.28-0.78). CONCLUSION: Respiratory viruses and their species had distinct serum metabolomic signatures that are associated with differential risks of acute and chronic morbidities of bronchiolitis. Our findings advance research into the complex interrelations between viruses, host systemic response, and bronchiolitis pathobiology.