Impact of respiratory bacterial infections on mortality in Japanese patients with COVID-19: a retrospective cohort study.

BACKGROUND: Although cases of respiratory bacterial infections associated with coronavirus disease 2019 (COVID-19) have often been reported, their impact on the clinical course remains unclear. Herein, we evaluated and analyzed the complication rates of bacterial infections, causative organisms, patient backgrounds, and clinical outcome in Japanese patients with COVID-19. METHODS: We performed a retrospective cohort study that included inpatients with COVID-19 from multiple centers participating in the Japan COVID-19 Taskforce (April 2020 to May 2021) and obtained demographic, epidemiological, and microbiological results and the clinical course and analyzed the cases of COVID-19 complicated by respiratory bacterial infections. RESULTS: Of the 1,863 patients with COVID-19 included in the analysis, 140 (7.5%) had respiratory bacterial infections. Community-acquired co-infection at COVID-19 diagnosis was uncommon (55/1,863, 3.0%) and was mainly caused by Staphylococcus aureus, Klebsiella pneumoniae and Streptococcus pneumoniae. Hospital-acquired bacterial secondary infections, mostly caused by Staphylococcus aureus, Pseudomonas aeruginosa, and Stenotrophomonas maltophilia, were diagnosed in 86 patients (4.6%). Severity-associated comorbidities were frequently observed in hospital-acquired secondary infection cases, including hypertension, diabetes, and chronic kidney disease. The study results suggest that the neutrophil-lymphocyte ratio (> 5.28) may be useful in diagnosing complications of respiratory bacterial infections. COVID-19 patients with community-acquired or hospital-acquired secondary infections had significantly increased mortality. CONCLUSIONS: Respiratory bacterial co-infections and secondary infections are uncommon in patients with COVID-19 but may worsen outcomes. Assessment of bacterial complications is important in hospitalized patients with COVID-19, and the study findings are meaningful for the appropriate use of antimicrobial agents and management strategies.

Diagnostic significance of secondary bacteremia in patients with COVID-19.

OBJECTIVES: We investigated the occurrence of non-respiratory bacterial and fungal secondary infections, causative organisms, impact on clinical outcomes, and association between the secondary pathogens and mortality in hospitalized patients with coronavirus disease 2019 (COVID-19). METHODS: This was a retrospective cohort study that included data from inpatients with COVID-19 from multiple centers participating in the Japan COVID-19 Taskforce (April 2020 to May 2021). We obtained demographic, epidemiological, and microbiological data throughout the course of hospitalization and analyzed the cases of COVID-19 complicated by non-respiratory bacterial infections. RESULTS: Of the 1914 patients included, non-respiratory bacterial infections with COVID-19 were diagnosed in 81 patients (4.2%). Of these, 59 (3.1%) were secondary infections. Bacteremia was the most frequent bacterial infection, occurring in 33 cases (55.9%), followed by urinary tract infections in 16 cases (27.1%). Staphylococcus epidermidis was the most common causative organism of bacteremia. Patients with COVID-19 with non-respiratory secondary bacterial infections had significantly higher mortality, and a multivariate logistic regression analysis demonstrated that those with bacteremia (aOdds Ratio = 15.3 [5.97-39.1]) were at higher risk of death. Multivariate logistic regression analysis showed that age, male sex, use of steroids to treat COVID-19, and intensive care unit admission increased the risk for nosocomial bacteremia. CONCLUSIONS: Secondary bacteremia is an important complication that may lead to poor prognosis in cases with COVID-19. An appropriate medical management strategy must be established, especially for patients with concomitant predisposing factors.

Characteristics of COVID-19 patients admitted into two hospitals in sapporo, Japan: Analyses and insights from two outbreak waves.

BACKGROUND: Coronavirus disease (COVID-19) emerged in January 2020 in Sapporo city, and the outbreak has shown two peaks. METHODS: A total of 260 COVID-19 patients were enrolled and categorized into three groups according to the pandemic pattern, jobs and situation, and disease severity. We compared clinical characteristics according to these categories. RESULTS: We found two pandemic peaks, and the proportion of patients and health providers who were infected in other hospitals had increased in the latter two periods (period 2: 49.6%, period 3: 32.7%). Particularly, the proportion of infected health providers was 27% in period 2, and they tended to be younger females with a mild condition. Severity of the disease (requirement of oxygen and/or mechanical ventilation) was associated with advanced age, and all the patients who died during admission were over 60 years old. CONCLUSIONS: We reported the temporal dynamics and characteristics of the COVID-19 pandemic in Sapporo city, Japan. This survey from the viewpoint of the hospital provides a new insight into and a better guide for the further management of the COVID-19 pandemic.

A Therapeutic Strategy for All Pneumonia Patients: A 3-Year Prospective Multicenter Cohort Study Using Risk Factors for Multidrug-resistant Pathogens to Select Initial Empiric Therapy.

BACKGROUND: Empiric therapy of pneumonia is currently based on the site of acquisition (community or hospital), but could be chosen, based on risk factors for multidrug-resistant (MDR) pathogens, independent of site of acquisition. METHODS: We prospectively applied a therapeutic algorithm based on MDR risks, in a multicenter cohort study of 1089 patients with 656 community-acquired pneumonia (CAP), 238 healthcare-associated pneumonia (HCAP), 140 hospital-acquired pneumonia (HAP), or 55 ventilator-associated pneumonia (VAP). RESULTS: Approximately 83% of patients were treated according to the algorithm, with 4.3% receiving inappropriate therapy. The frequency of MDR pathogens varied, respectively, with VAP (50.9%), HAP (27.9%), HCAP (10.9%), and CAP (5.2%). Those with ≥2 MDR risks had MDR pathogens more often than those with 0-1 MDR risk (25.8% vs 5.3%, P < .001). The 30-day mortality rates were as follows: VAP (18.2%), HAP (13.6%), HCAP (6.7%), and CAP (4.7%), and were lower in patients with 0-1 MDR risks than in those with ≥2 MDR risks (4.5% vs 12.5%, P < .001). In multivariate logistic regression analysis, 5 risk factors (advanced age, hematocrit <30%, malnutrition, dehydration, and chronic liver disease), as well as hypotension and inappropriate therapy were significantly correlated with 30-day mortality, whereas the classification of pneumonia type (VAP, HAP, HCAP, CAP) was not. CONCLUSIONS: Individual MDR risk factors can be used in a unified algorithm to guide and simplify empiric therapy for all pneumonia patients, and were more important than the classification of site of pneumonia acquisition in determining 30-day mortality. CLINICAL TRIALS REGISTRATION: JMA-IIA00146.

[Association between clustered strain of M. tuberculosis and infectiousness index of tuberculosis cases in a population-based IS6110-RFLP analysis].

OBJECTIVE: Isolates of M. tuberculosis were analyzed for their DNA fingerprints to facilitate understanding of ongoing transmission of tuberculosis in Sapporo (population 1.87 million), Japan, where the incidence rate of tuberculosis was 15.0 per 100,000 in 2004. SUBJECT: Out of all tuberculosis patients registered in the city from November 1998 to December 2003, isolates from culture-positive respiratory tuberculosis cases for whom written informed consent had been obtained, were analyzed by restriction fragment length polymorphism (RFLP). The study included 345 cases (249 men and 96 women) whose isolates were available for DNA patterns. METHOD: Using standard IS6110-RFLP typing, cases whose isolates shared identical fingerprints were considered to belong to the same cluster. Proportions of clustered cases were evaluated according to their clinical and socio-economical characteristics. RESULTS: Out of 345 cases, 207 (60.0%) were classified into 59 clusters, and 15% of clustered cases having definite epidemiological links. Multiple logistic regression analysis in men showed that age and infectiousness were significantly related to clustering. The adjusted odds ratios (OR) [95% confidence intervals (CI)] were 0.17 [0.03-0.79] for 30-59 years, 0.15 [0.03-0.69] for 60 years or over and 2.35 [1.17-4.70] for those cases assigned as the highest level of transmission of tuberculosis from the infectiousness index of cases. For women the final model showed the adjusted OR [95% CI] were 0.52 [0.22-1.22] for those with previous history of tuberculosis and 0.33 [0.06-1.85] for diabetics. In male cases with a previous history of tuberculosis, most highly infectious cases were significantly associated with clustering (OR [95% CI], 4.53 [1.16-17.68]). CONCLUSION: The results suggest that highly infectious male tuberculosis cases with endogenous reactivation have contributed to recent transmission of tuberculosis in the studied area.

First clinical isolates of Nocardia carnea, Nocardia elegans, Nocardia paucivorans, Nocardia puris and Nocardia takedensis in Japan.

Five aerobic actinomycete strains isolated from patients in Japan were assigned provisionally to the genus Nocardia based on morphological and physiological characteristics. The five strains, IFM 10481, IFM 0668, IFM 0901, IFM 0583 and IFM 0342, were not classified into any Nocardia species reported as infectious agents in Japan. Therefore, they were studied further to determine their specific taxonomic positions. Detailed chemotaxonomic and physiologic characterization and 16S rDNA sequence data of the five strains showed that they belonged to respective species of Nocardia carnea, N. elegans, N. paucivorans, N. puris and N. takedensis. This is the first isolation report of these five Nocardia species from patients in Japan.