Few studies have described the key features and prognostic roles of lung microbiota in patients with severe community-acquired pneumonia (SCAP). We prospectively enrolled consecutive SCAP patients admitted to ICU. Bronchoscopy was performed at bedside within 48 h of ICU admission, and 16S rRNA gene sequencing was applied to the collected bronchoalveolar lavage fluid. The primary outcome was clinical improvements defined as a decrease of 2 categories and above on a 7-category ordinal scale within 14 days following bronchoscopy. Sixty-seven patients were included. Multivariable permutational multivariate analysis of variance found that positive bacteria lab test results had the strongest independent association with lung microbiota (R² = 0.033; P = 0.018), followed by acute kidney injury (AKI; R² = 0.032; P = 0.011) and plasma MIP-1β level (R² = 0.027; P = 0.044). Random forest identified that the families Prevotellaceae, Moraxellaceae, and Staphylococcaceae were the biomarkers related to the positive bacteria lab test results. Multivariable Cox regression showed that the increase in α-diversity and the abundance of the families Prevotellaceae and Actinomycetaceae were associated with clinical improvements. The positive bacteria lab test results, AKI, and plasma MIP-1β level were associated with patients' lung microbiota composition on ICU admission. The families Prevotellaceae and Actinomycetaceae on admission predicted clinical improvements.
Acute Kidney Injury/complications* ; Bacteria/classification* ; Chemokine CCL4/blood* ; Community-Acquired Infections/microbiology* ; Humans ; Lung ; Microbiota/genetics* ; Pneumonia, Bacterial/diagnosis* ; Prognosis ; RNA, Ribosomal, 16S/genetics*

Anesthesia, General ; Coronavirus Infections ; prevention & control ; transmission ; Humans ; Infectious Disease Transmission, Patient-to-Professional ; prevention & control ; Occupational Exposure ; prevention & control ; Operating Rooms ; Otorhinolaryngologic Surgical Procedures ; Pandemics ; prevention & control ; Personal Protective Equipment ; classification ; Pneumonia, Viral ; prevention & control ; transmission ; Practice Guidelines as Topic

OBJECTIVES: To explore the prescribing habits of doctors, and to provide basis for rational use of antibiotics in clinical practice via investigating and analyzing the applications of antibiotics in treatment of coronavirus disease 2019 (COVID-19) in the designated hospital. METHODS: Specification, quantity, amount, defined daily dose system (DDDs), defined daily dose consumption (DDDc), antibiotics use density (AUD), composition, frequency of use, combined use of antibacterial drugs used in the hospital were analyzed between Feb. 2020 and Mar. 2020. RESULTS: A total of 25 antibiotic drugs in 12 categories were used. The total cost for antibiotic drugs was 1 million 238 thousand yuan, in which quinolone accounts for 48%, the third generation cephalosporin/lactamase inhibitors accounts for 15.86%, antifungals accounts for 14.17%, oxazolidone accounts for 13.46%, and carbapenms account for 12.73%. The top three drugs of DDDs and AUD were moxifloxacin hydrochloride tablets, moxifloxacin hydrochloride and sodium chloride injection, cefoperazone sodium and sulbactam sodium for injection. The proportion of patients who had been used more than two kinds of antibiotics was 22.36%. CONCLUSIONS Broad-spectrum, high-potency antibiotics are used at the beginning of COVID-19 treatment. The varieties of antibiotics meet the requirements of the management of antibiotics, and the utilization rate of antibiotics and the cost proportion of antibiotics in COVID-19 patients are within a reasonable range.In the future, for the treatment of COVID-19, we should continue to summarize the experience, improve the strategies, and rationally apply antibiotics on the basis of guidelines.
Anti-Bacterial Agents ; classification ; therapeutic use ; Betacoronavirus ; Coronavirus Infections ; drug therapy ; Humans ; Pandemics ; Pneumonia, Viral ; drug therapy

OBJECTIVE: To investigate the CT findings of patients with different clinical types of coronavirus disease 2019 (COVID-19). METHODS: A total of 67 patients diagnosed as COVID-19 by nucleic acid testing were collected and divided into 4 groups according to the clinical stages based on . The CT imaging characteristics were analyzed among patients with different clinical types. RESULTS: Among 67 patients, 3(4.5%) were mild, 35 (52.2%) were moderate, 22 (32.8%) were severe, and 7(10.4%) were critical ill. No significant abnormality in chest CT imaging in mild patients. The 35 cases of moderate type included 3 (8.6%) single lesions, the 22 cases of severe cases included 1 (4.5%) single lesion and the rest cases were with multiple lesions. CT images of moderate patients were mainly manifested by solid plaque shadow and halo sign (18/35, 51.4%); while fibrous strip shadow with ground glass shadow was more frequent in severe cases (7/22, 31.8%). Consolidation shadow as the main lesion was observed in 7 cases, and all of them were severe or critical ill patients. CONCLUSIONS CT images of patients with different clinical types of COVID-19 have characteristic manifestations, and solid shadow may predict severe and critical illness.
Betacoronavirus ; isolation & purification ; Coronavirus Infections ; classification ; diagnostic imaging ; Humans ; Lung ; diagnostic imaging ; Pandemics ; classification ; Pneumonia, Viral ; classification ; diagnostic imaging ; Tomography, X-Ray Computed

BACKGROUND/AIMS: Methicillin-resistant Staphylococcus aureus bacteremia (MRSAB) is a major bloodstream infection with a high mortality rate. Identification of factors associated with early mortality in MRSAB patients would be useful for predicting prognosis and developing new therapeutic options. METHODS: A prospective cohort of MRSAB patients was examined between August 2008 and June 2011. Early and late mortality was defined as death within 2 and 28 days of blood culture, respectively. The clinical and microbiological characteristics in the early and late mortality and survival groups were compared. Risk factors associated with severe sepsis or septic shock were also investigated. RESULTS: A total of 385 adult MRSAB patients whose S. aureus isolates were available were enrolled; of these patients, 25 patients (6.5%) and 50 (13%) died early and late, respectively. Compared with both the late-mortality group and the survival group, severe sepsis or septic shock was a statistically significant independent risk factor associated with early mortality. Rapidly or ultimately fatal McCabe and Jackson classification (adjusted odds ratio [aOR], 1.94; 95% confidence interval [CI], 1.25 to 3.02) and pneumonia (aOR, 2.04; 95% CI, 1.03 to 4.02) were independently associated with severe sepsis or septic shock. A vancomycin minimum inhibitory concentration (MIC) ≥ 1.5 μg/mL was associated with a reduced incidence of severe sepsis or septic shock (aOR, 0.53; 95% CI, 0.34 to 0.84). CONCLUSIONS: Severity of illness seems to be the most important risk factor associated with early mortality in MRSAB. Although vancomycin MIC was not independently associated with early mortality, reduced vancomycin susceptibility appears to be linked to reduced disease severity.
Adult ; Bacteremia* ; Classification ; Cohort Studies ; Humans ; Incidence ; Methicillin Resistance* ; Methicillin-Resistant Staphylococcus aureus* ; Microbial Sensitivity Tests ; Mortality* ; Odds Ratio ; Pneumonia ; Prognosis ; Prospective Studies ; Risk Factors ; Sepsis ; Shock, Septic ; Vancomycin

Idiopathic interstitial pneumonia (IIP) is a histologically identifiable pulmonary disease without a known cause that usually infiltrates the lung interstitium. IIP is largely classified into idiopathic pulmonary fibrosis, idiopathic non-specific interstitial pneumonia, respiratory bronchiolitis-interstitial lung disease (ILD), cryptogenic organizing pneumonia, desquamative interstitial pneumonia, and acute interstitial pneumonia. Each of these diseases has a different prognosis and requires specific treatment, and a multidisciplinary approach that combines chest high-resolution computed tomography (HRCT), histological findings, and clinical findings is necessary for their diagnosis. Diagnosis of IIP is made based on clinical presentation, chest HRCT findings, results of pulmonary function tests, and histological findings. For histological diagnosis, video-assisted thoracoscopic biopsy and transbronchial lung biopsy are used. In order to identify ILD associated with connective tissue disease, autoimmune antibody tests may also be necessary. Many biomarkers associated with disease prognosis have been recently discovered, and future research on their clinical significance is necessary. The diagnosis of ILD is difficult because patterns of ILD are both complicated and variable. Therefore, as with other diseases, accurate history taking and meticulous physical examination are crucial.
Biomarkers ; Biopsy ; Classification ; Connective Tissue Diseases ; Cryptogenic Organizing Pneumonia ; Diagnosis ; Idiopathic Interstitial Pneumonias ; Idiopathic Pulmonary Fibrosis ; Lung ; Lung Diseases ; Lung Diseases, Interstitial ; Physical Examination ; Prognosis ; Respiratory Function Tests ; Thorax

OBJECTIVE: To investigate the proportion of aspiration pneumonia cases among patients with community-acquired pneumonia in Korea. METHODS: This retrospective study included patients with community-acquired pneumonia who had been admitted to the emergency department of a university-affiliated tertiary hospital in Gyeonggi Province, Korea between January 1, 2016 and December 31, 2016. Among these patients, those with aspiration pneumonia were identified using ICD-10 codes (J69.*). Patients with recurrent pneumonia were excluded, as were those who were immunocompromised. The proportion of cases of aspiration pneumonia was calculated, and the characteristics and clinical outcomes of patients with aspiration pneumonia and non-aspiration pneumonia were compared. RESULTS: The proportion of aspiration pneumonia cases among patients with community-acquired pneumonia was 14.2%. Patients with aspiration pneumonia were significantly more likely to be older (p<0.001) and male (p<0.001), and to have a higher confusion, uremia, respiratory rate, blood pressure, and age ≥65 years (CURB-65) score (p<0.001) as compared to patients with non-aspiration pneumonia. They were also more likely to require admission to the intensive care unit (p<0.001) and a longer hospital stay (p<0.001). CONCLUSION: Aspiration pneumonia accounts for 14.2% of all cases of community-acquired pneumonia in Korea. These data may contribute to the establishment of healthcare strategies for managing aspiration pneumonia among Korean adults.
Adult ; Blood Pressure ; Community-Acquired Infections ; Delivery of Health Care ; Emergency Service, Hospital ; Gyeonggi-do ; Humans ; Intensive Care Units ; International Classification of Diseases ; Korea ; Length of Stay ; Male ; Pneumonia ; Pneumonia, Aspiration ; Respiratory Rate ; Retrospective Studies ; Tertiary Care Centers ; Uremia

PURPOSE: Extremely hazardous pesticides are classified as World Health Organization (WHO) hazard class Ia. However, data describing the clinical course of WHO class Ia OP (organophosphate) poisonings in humans are very scarce. Here, we compare the clinical features of patients who ingested hazard class Ia OPs. METHODS: This retrospective observational case study included 75 patients with a history of ingesting ethyl p-nitrophenol thio-benzene phosphonate (EPN), phosphamidon, or terbufos. The patients were divided according to the chemical formulation of the ingested OP. Data regarding mortality and the development of complications were collected and compared among groups. RESULTS: There were no differences in the baseline characteristics and severity scores at presentation between the three groups. No fatalities were observed in the terbufos group. The fatality rates in the EPN and phosphamidon groups were 11.8% and 28.6%, respectively. Patients poisoned with EPN developed respiratory failure later than those poisoned with phosphamidon and also tended to require longer mechanical ventilatory support than phosphamidon patients. The main cause of death was pneumonia in the EPN group and hypotensive shock in the phosphamidon group. Death occurred later in the EPN group than in the phosphamidon group. CONCLUSION: Even though all three drugs are classified as WHO class Ia OPs (extremely hazardous pesticides), their clinical courses and the related causes of death in humans varied. Their treatment protocols and predicted outcomes should therefore also be different based on the chemical formulation of the OP.
Cause of Death ; Classification ; Clinical Protocols ; Humans* ; Mortality ; Organophosphates* ; Pesticides ; Phosphamidon* ; Pneumonia ; Poisoning* ; Respiratory Insufficiency ; Retrospective Studies ; Shock ; World Health Organization

PURPOSE: Understanding changes in pathogen and pneumonia prevalence among pediatric pneumonia patients is important for the prevention of infectious diseases. METHODS: We retrospectively analyzed data of children younger than 18 years diagnosed with pneumonia at 117 Emergency Departments in Korea between 2007 and 2014. RESULTS: Over the study period, 329,380 pediatric cases of pneumonia were identified. The most frequent age group was 1–3 years old (48.6%) and the next was less than 12 months of age (17.4%). Based on International Classification of Diseases, 10th revision diagnostic codes, confirmed cases of viral pneumonia comprised 8.4% of all cases, pneumonia due to Mycoplasma pneumoniae comprised 3.8% and confirmed cases of bacterial pneumonia 1.3%. The prevalence of confirmed bacterial pneumonia decreased from 3.07% in 2007 and 4.01% in 2008 to 0.65% in 2014. The yearly rate of pneumococcal pneumonia also decreased from 0.47% in 2007 to 0.08% in 2014. A periodic prevalence of M. pneumoniae pneumonia (MP) was identified. CONCLUSION: The increased number of patients with pneumonia, bacterial pneumonia, pleural effusion, and empyema in 2011 and 2013–2014 resulted from an MP epidemic. We provide evidence that the frequency of confirmed cases of bacterial pneumonia and pneumococcal pneumonia has declined from 2007 to 2014, which can simultaneously reflect the effectiveness of the pneumococcal conjugate vaccine.
Child ; Communicable Diseases ; Community-Acquired Infections ; Emergencies* ; Emergency Service, Hospital* ; Empyema ; Humans ; Information Systems* ; International Classification of Diseases ; Interrupted Time Series Analysis ; Korea* ; Mycoplasma pneumoniae ; Pleural Effusion ; Pneumonia* ; Pneumonia, Bacterial ; Pneumonia, Mycoplasma ; Pneumonia, Pneumococcal ; Pneumonia, Viral ; Prevalence* ; Retrospective Studies

OBJECTIVE: Machine learning is not yet widely used in the medical field. Therefore, this study was conducted to compare the performance of preexisting severity prediction models and machine learning based models (random forest [RF], gradient boosting [GB]) for mortality prediction in pneumonia patients. METHODS: We retrospectively collected data from patients who visited the emergency department of a tertiary training hospital in Seoul, Korea from January to March of 2015. The Pneumonia Severity Index (PSI) and Sequential Organ Failure Assessment (SOFA) scores were calculated for both groups and the area under the curve (AUC) for mortality prediction was computed. For the RF and GB models, data were divided into a test set and a validation set by the random split method. The training set was learned in RF and GB models and the AUC was obtained from the validation set. The mean AUC was compared with the other two AUCs. RESULTS: Of the 536 investigated patients, 395 were enrolled and 41 of them died. The AUC values of PSI and SOFA scores were 0.799 (0.737–0.862) and 0.865 (0.811–0.918), respectively. The mean AUC values obtained by the RF and GB models were 0.928 (0.899–0.957) and 0.919 (0.886–0.952), respectively. There were significant differences between preexisting severity prediction models and machine learning based models (P < 0.001). CONCLUSION: Classification through machine learning may help predict the mortality of pneumonia patients visiting the emergency department.
Area Under Curve ; Classification ; Emergencies* ; Emergency Service, Hospital* ; Forests ; Humans ; Korea ; Machine Learning* ; Methods ; Mortality* ; Pneumonia* ; Retrospective Studies ; Seoul