Humans ; Aged ; Lung Diseases ; Pneumonia/drug therapy* ; Adrenal Cortex Hormones/therapeutic use* ; Pulmonary Disease, Chronic Obstructive/drug therapy* ; Administration, Inhalation ; Community-Acquired Infections/drug therapy*

OBJECTIVES: To investigate the association of single nucleotide polymorphisms (SNPs) of myeloid differentiation factor 88 (MyD88) and Toll-like receptor adaptor molecule 1 (TICAM1) and their interactions with community-acquired pneumonia (CAP) in children. METHODS: Improved multiple ligase detection reaction assay was used for detecting the polymorphisms of nine tagging SNPs of the MyD88 and TICAM1 genes in 375 children with CAP who attended the Department of Pediatrics of the Second Affiliated Hospital of Yan'an University Medical School from August 2015 to September 2017 and 306 healthy children who underwent physical examination. A logistic regression analysis was used to evaluate the association between the distribution of genotypes and their interactions with CAP in children. RESULTS: The polymorphism of the TICAM1 gene at rs11466711T/C locus was closely associated with the susceptibility to CAP in children (P<0.05). The AA genotype of rs35747610G/A locus significantly reduced risk of sepsis in children with CAP (P<0.05). The AA genotype of rs6510826G/A locus was significantly associated with the increase in C-reactive protein level in children with CAP (P<0.05). The GG genotype of the MyD88 gene at rs7744A/G locus significantly increased the risk of respiratory failure and circulatory failure (P<0.05). The multiplicative interactions between MyD88 gene rs7744A/G and TICAM1 gene rs11466711T/C, rs2292151G/A, rs35299700C/T, and rs35747610G/A loci were significantly associated with the susceptibility to CAP, the severity of CAP, and the risk of sepsis in children (P<0.05). CONCLUSIONS The gene polymorphisms of MyD88 and TICAM1 and their interactions are closely associated with CAP in children, with a synergistic effect on the development and progression of CAP in children.
Child ; Humans ; Adaptor Proteins, Vesicular Transport/genetics* ; Community-Acquired Infections/genetics* ; Myeloid Differentiation Factor 88/genetics* ; Pneumonia/genetics* ; Polymorphism, Single Nucleotide ; Sepsis

Community-acquired pneumonia (CAP) is the third leading cause of death worldwide and one of the most commonly infectious diseases. Its epidemiological characteristics vary with host and immune status, and corresponding pathogen spectrums migrate over time and space distribution. Meanwhile, with the outbreak of COVID-19, some unconventional treatment strategies are on the rise. This article reviewed the epidemiological characteristics, pathogen spectrum and treatment direction of CAP in China over the years, and aimed to provide guidance for the diagnosis and treatment of CAP in clinical practice.
Humans ; COVID-19 ; Pneumonia/diagnosis* ; Community-Acquired Infections/drug therapy* ; Causality ; Risk Factors

Objective: To investigate the epidemiology and hospitalization costs of pediatric community-acquired pneumonia (CAP) in Shanghai. Methods: A retrospective case summary was conducted on 63 614 hospitalized children with CAP in 59 public hospitals in Shanghai from January 2018 to December 2020. These children's medical records, including their basic information, diagnosis, procedures, and costs, were extracted. According to the medical institutions they were admitted, the patients were divided into the children's hospital group, the tertiary general hospital group and the secondary hospital group; according to the age, they were divided into <1 year old group, 1-<3 years old group, 3-<6 years old group, 6-<12 years old group and 12-18 years old group; according to the CAP severity, they were divided into severe pneumonia group and non-severe pneumonia group; according to whether an operation was conducted, the patients were divided into the operation group and the non-operation group. The epidemiological characteristics and hospitalization costs were compared among the groups. The χ² test or Wilcoxon rank sum test was used for the comparisons between two groups as appropriate, and the Kruskal-Wallis H test was conducted for comparisons among multiple groups. Results: A total of 63 614 hospitalized children with CAP were enrolled, including 34 243 males and 29 371 females. Their visiting age was 4 (2, 6) years. The length of stay was 6 (5, 8) days. There were 17 974 cases(28.3%) in the secondary hospital group, 35 331 cases (55.5%) in the tertiary general hospital group and 10 309 cases (16.2%) in the children's hospital group. Compared with the hospitalizations cases in 2018 (27 943), the cases in 2019 (29 009) increased by 3.8% (1 066/27 943), while sharply declined by 76.2% (21 281/27 943) in 2020 (6 662). There were significant differences in the proportion of patients from other provinces and severe pneumonia cases, and the hospitalization costs among the children's hospital, secondary hospital and tertiary general hospital (7 146 cases(69.3%) vs. 2 202 cases (12.3%) vs. 9 598 cases (27.2%), 6 929 cases (67.2%) vs. 2 270 cases (12.6%) vs. 9 397 cases (26.6%), 8 304 (6 261, 11 219) vs. 1 882 (1 304, 2 796) vs. 3 195 (2 364, 4 352) CNY, χ²=10 462.50, 9 702.26, 28 037.23, all P<0.001). The annual total hospitalization costs of pediatric CAP from 2018 to 2020 were 110 million CNY, 130 million CNY and 40 million CNY, respectively. And the cost for each hospitalization increased year by year, which was 2 940 (1 939, 4 438), 3 215 (2 126, 5 011) and 3 673 (2 274, 6 975) CNY, respectively. There were also significant differences in the hospitalization expenses in the different age groups of <1 year old, 1-<3 years old, 3-<6 years old, 6-<12 years old and 12-18 years old (5 941 (2 787, 9 247) vs. 2 793 (1 803, 4 336) vs. 3 013 (2 070, 4 329) vs. 3 473 (2 400, 5 097) vs. 4 290 (2 837, 7 314) CNY, χ²=3 462.39, P<0.001). The hospitalization cost of severe pneumonia was significantly higher than that of non-severe cases (5 076 (3 250, 8 364) vs. 2 685 (1 780, 3 843) CNY, Z=109.77, P<0.001). The cost of patients who received operation was significantly higher than that of whom did not (10 040 (4 583, 14 308) vs. 3 083 (2 025, 4 747) CNY, Z=44.46, P<0.001). Conclusions: The number of children hospitalized with CAP in Shanghai decreased significantly in 2020 was significantly lower than that in 2018 and 2019.The proportion of patients from other provinces and with severe pneumonia are mainly admitted in children's hospitals. Hospitalization costs are higher in children's hospitals, and also for children younger than 1 year old, severe cases and patients undergoing operations.
Infant ; Female ; Male ; Humans ; Child ; Retrospective Studies ; China/epidemiology* ; Hospitalization ; Community-Acquired Infections/therapy* ; Hospitals, Pediatric ; Pneumonia/therapy*

OBJECTIVES: To investigate the distribution characteristics of non-bacterial pathogens in community-acquired pneumonia (CAP) in children. METHODS: A total of 1 788 CAP children admitted to Shenyang Children's Hospital from December 2021 to November 2022 were selected. Multiple RT-PCR and capillary electrophoresis were used to detect 10 viral pathogens and 2 atypical pathogens, and serum antibodies of Chlamydial pneumoniae (Ch) and Mycoplasma pneumoniae (MP) were detected. The distribution characteristics of different pathogens were analyzed. RESULTS: Among the 1 788 CAP children, 1 295 children were pathogen-positive, with a positive rate of 72.43% (1 295/1 788), including a viral pathogen positive rate of 59.68% (1 067/1 788) and an atypical pathogen positive rate of 22.04% (394/1 788). The positive rates from high to low were MP, respiratory syncytial virus (RSV), influenza B virus (IVB), human metapneumovirus (HMPV), human rhinovirus (HRV), human parainfluenza virus (HPIV), influenza A virus (IVA), bocavirus (BoV), human adenovirus (HADV), Ch, and human coronavirus (HCOV). RSV and MP were the main pathogens in spring; MP had the highest positive rate in summer, followed by IVA; HMPV had the highest positive rate in autumn; IVB and RSV were the main pathogens in winter. The positive rate of MP in girls was higher than that in boys (P<0.05), and there were no significant differences in other pathogens between genders (P>0.05). The positivity rates of certain pathogens differed among age groups (P<0.05): the positivity rate of MP was highest in the >6 year-old group; the positivity rates of RSV and Ch were highest in the <1 year-old group; the positivity rates of HPIV and IVB were highest in the 1 to <3 year-old group. RSV, MP, HRV, and HMPV were the main pathogens in children with severe pneumonia, while MP was the primary pathogen in children with lobar pneumonia, and MP, IVB, HMPV, RSV, and HRV were the top 5 pathogens in acute bronchopneumonia. CONCLUSIONS MP, RSV, IVB, HMPV, and HRV are the main pathogens of CAP in children, and there are certain differences in the positive rates of respiratory pathogens among children of different ages, genders, and seasons.
Humans ; Child ; Female ; Male ; Infant ; Child, Preschool ; Pneumonia ; Respiratory Syncytial Virus, Human ; Antibodies ; Community-Acquired Infections ; Hospitalization ; Influenza B virus ; Mycoplasma pneumoniae

Objective: To investigate the clinical characteristics and the risk factors of severe human metapneumovirus (hMPV)-associated community acquired pneumonia (CAP) in children. Methods: A retrospective case summary was conducted. From December 2020 to March 2022, 721 children who were diagnosed with CAP and tested positive for hMPV nucleic acid by PCR-capillary electrophoresis fragment analysis of nasopharyngeal secretions at the Yuying Children's Hospital, the Second Affiliated Hospital of Wenzhou Medical University were selected as the research objects. The clinical characteristics, epidemiological characteristics and mixed pathogens of the two groups were analyzed. According to CAP diagnostic criteria, the children were divided into the severe group and the mild group. Chi-square test or Mann-Whitney rank and contrast analysis was used for comparison between groups, while multivariate Logistic regression was applied to analyze the risk factors of the severe hMPV-associated CAP. Results: A total of 721 children who were diagnosed with hMPV-associated CAP were included in this study, with 397 males and 324 females. There were 154 cases in the severe group. The age of onset was 1.0 (0.9, 3.0) years, <3 years old 104 cases (67.5%), and the length of hospital stay was 7 (6, 9) days. In the severe group, 67 children (43.5%) were complicated with underlying diseases. In the severe group, 154 cases (100.0%) had cough, 148 cases (96.1%) had shortness of breath and pulmonary moist rales, and 132 cases (85.7%) had fever, 23 cases (14.9%) were complicated with respiratory failure. C-reactive protein (CRP) was elevated in 86 children (55.8%), including CRP≥50 mg/L in 33 children (21.4%). Co-infection was detected in 77 cases (50.0%) and 102 strains of pathogen were detected, 25 strains of rhinovirus, 17 strains of Mycoplasma pneumoniae, 15 strains of Streptococcus pneumoniae, 12 strains of Haemophilus influenzae and 10 strains of respiratory syncytial virus were detected. Six cases (3.9%) received heated and humidified high flow nasal cannula oxygen therapy, 15 cases (9.7%) were admitted to intensive care unit, and 2 cases (1.3%) received mechanical ventilation. In the severe group, 108 children were cured, 42 children were improved, 4 chlidren were discharged automatically without recovery and no death occurred. There were 567 cases in the mild group. The age of onset was 2.7 (1.0, 4.0) years, and the length of hospital stay was 4 (4, 6) days.Compared with the mild group, the proportion of children who age of disease onset <6 months, CRP≥50 mg/L, the proportions of preterm birth, congenital heart disease, malnutrition, congenital airway malformation, neuromuscular disease, mixed respiratory syncytial viruses infection were higher (20 cases (13.0%) vs. 31 cases (5.5%), 32 cases (20.8%) vs. 64 cases (11.3%), 23 cases (14.9%) vs. 44 cases (7.8%), 11 cases (7.1%) vs. 18 cases (3.2%), 9 cases (5.8%) vs. 6 cases (1.1%), 11 cases (7.1%) vs. 12 cases (2.1%), 8 cases (5.2%) vs. 4 cases (0.7%), 10 cases (6.5%) vs. 13 cases (2.3%), χ²=0.42, 9.45, 7.40, 4.94, 11.40, 8.35, 3.52, 6.92, all P<0.05). Multivariate Logistic regression analysis showed that age<6 months (OR=2.51, 95%CI 1.29-4.89), CRP≥50 mg/L (OR=2.20, 95%CI 1.36-3.57), prematurity (OR=2.19, 95%CI 1.26-3.81), malnutrition (OR=6.05, 95%CI 1.89-19.39) were the independent risk factors for severe hMPV-associated CAP. Conclusions: Severe hMPV-associated CAP is most likely to occur in infants under 3 years old and has a higher proportion of underlying diseases and co-infection. The main clinical manifestations are cough, shortness of breath and pulmonary moist rales, fever. The overall prognosis is good. Age<6 months, CRP≥50 mg/L, preterm birth, malnutrition are the independent risk factors for severe hMPV-associated CAP.
Infant ; Male ; Female ; Humans ; Child ; Infant, Newborn ; Child, Preschool ; Retrospective Studies ; Cough ; Coinfection ; Premature Birth ; Respiratory Sounds ; Metapneumovirus ; Pneumonia, Viral/epidemiology* ; Respiratory Syncytial Virus, Human ; Community-Acquired Infections/epidemiology* ; Risk Factors ; Dyspnea ; Malnutrition

Adult ; Humans ; Retrospective Studies ; Pneumonia ; Community-Acquired Infections/epidemiology* ; Hospitalization

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*

INTRODUCTION: We aimed to compare the early clinical manifestations, laboratory results and chest computed tomography (CT) images of COVID-19 patients with those of other community-acquired pneumonia (CAP) patients to differentiate CAP from COVID-19 before reverse transcription-polymerase chain reaction results are obtained. METHODS: The clinical and laboratory data and chest CT images of 51 patients were assessed in a fever observation ward for evidence of COVID-19 between January and February 2020. RESULTS: 24 patients had laboratory-confirmed COVID-19, whereas 27 individuals had negative results. No statistical difference in clinical features was found between COVID-19 and CAP patients, except for diarrhoea. There was a significant difference in lymphocyte and eosinophil counts between COVID-19 and CAP patients. In total, 22 (91.67%) COVID-19 patients had bilateral involvement and multiple lesions according to their lung CT images; the left lower lobe (87.50%) and right lower lobe (95.83%) were affected most often, and all lesions were located in the peripheral zones of the lung. The most common CT feature of COVID-19 was ground-glass opacity, found in 95.83% of patients, compared to 66.67% of CAP patients. CONCLUSION Diarrhoea, lymphocyte counts, eosinophil counts and CT findings (e.g. ground-glass opacity) could help to distinguish COVID-19 from CAP at an early stage of infection, based on findings from our fever observation ward.
COVID-19/diagnostic imaging* ; China ; Community-Acquired Infections/diagnostic imaging* ; Diarrhea/pathology* ; Fever ; Humans ; Lung/diagnostic imaging* ; Retrospective Studies ; SARS-CoV-2 ; Tomography, X-Ray Computed/methods*

Child ; Humans ; Pneumonia, Mycoplasma/epidemiology* ; Macrolides/therapeutic use* ; Singapore/epidemiology* ; Child, Hospitalized ; Mycoplasma pneumoniae ; Anti-Bacterial Agents/therapeutic use* ; Drug Resistance, Bacterial ; Community-Acquired Infections/drug therapy*