| 1 |
Liu YN, Zhang YF, Xu Q, et al. Infection and co-infection patterns of community-acquired pneumonia in patients of different ages in China from 2009 to 2020: a national surveillance study[J]. Lancet Microbe, 2023, 4(5): e330-e339.
|
| 2 |
Anderson R, Feldman C. The global burden of community-acquired pneumonia in adults, encompassing invasive pneumococcal disease and the prevalence of its associated cardiovascular events, with a focus on pneumolysin and macrolide antibiotics in pathogenesis and therapy[J]. Int J Mol Sci, 2023, 24(13): 11038.
|
| 3 |
Martin-loeches I, Reyes LF, Rodriguez A. Severe community-acquired pneumonia (sCAP): advances in management and future directions[J]. Thorax, 2025, 80(8): 565-575.
|
| 4 |
何敏,孙一茜,高永霞,等. 经鼻高流量吸氧结合叩背排痰在重症肺炎中的临床应用[J/OL]. 中华肺部疾病杂志(电子版), 2025, 18(1): 168-170.
|
| 5 |
Qu J, Zhang J, Chen Y, et al. Aetiology of severe community acquired pneumonia in adults identified by combined detection methods: a multi-centre prospective study in China[J]. Emerg Microbes Infect, 2022,11(1): 556-566.
|
| 6 |
Rueda ZV, Aguilar Y, Maya MA, et al. Etiology and the challenge of diagnostic testing of community-acquired pneumonia in children and adolescents[J]. BMC Pediatr, 2022, 22(1): 169.
|
| 7 |
Wu X, Sun T, He H, et al. Effect of Metagenomic next-generation sequencing on clinical outcomes of patients with severe community-acquired pneumonia in the ICU: A multicenter, randomized controlled trial[J]. Chest, 2025, 167(2): 362-373.
|
| 8 |
Peng B, Li J, Chen M, et al. Clinical value of glucocorticoids for severe community-acquired pneumonia: A systematic review and meta-analysis based on randomized controlled trials[J]. Medicine (Baltimore), 2023, 102(46): e36047.
|
| 9 |
Zhang P, Liu B, Zhang S, et al. Clinical application of targeted next-generation sequencing in severe pneumonia: a retrospective review[J]. Crit Care, 2024, 28(1): 225.
|
| 10 |
SS L, HB L. Severe mycoplasma pneumoniae pneumonia combined with cold agglutinin disease and pulmonary embolism in childhood: A case report and review of the literature[J]. Afr J Reprod Health, 2024, 28(11): 205-215.
|
| 11 |
Saleem M M, Usman A, Saleem A, et al. Post-traumatic pulmonary embolism in the setting of cough-variant asthma[J]. Radiol Case Rep, 2024, 19(12): 6225-6229.
|
| 12 |
Van Der Velden B, Kuijf H J, Gilhuijs K, et al. Explainable artificial intelligence (XAI) in deep learning-based medical image analysis[J]. Med Image Anal, 2022, 79: 102470.
|
| 13 |
Dack E, Christe A, Fontanellaz M, et al. Artificial intelligence and interstitial lung disease: diagnosis and prognosis[J]. Invest Radiol, 2023, 58(8): 602-609.
|
| 14 |
Choi Y H, Kim D H, Jeon E T, et al. Cluster analysis of thoracic muscle mass using artificial intelligence in severe pneumonia[J]. Sci Rep, 2024, 14(1): 16912.
|
| 15 |
Zaeri N. Artificial intelligence and machine learning responses to COVID-19 related inquiries[J]. J Med Eng Technol, 2023, 47(6): 301-320.
|
| 16 |
中国医师协会急诊医师分会. 中国急诊重症肺炎临床实践专家共识[J]. 中国急救医学,2016, 36(2): 97-107.
|
| 17 |
Yang J, Li J, Zhang L, et al. Highly diverse sputum microbiota correlates with the disease severity in patients with community-acquired pneumonia: a longitudinal cohort study[J]. Respir Res, 2024, 25(1): 223.
|
| 18 |
韩丽颖,丁思悦,王春玲. 肺康复联合营养干预对矽肺合并慢阻肺患者应用效果[J]. 工业卫生与职业病,2021, 47(1): 78-80.
|
| 19 |
Wang LL, Lu HW, Li LL, et al. Pseudomonas aeruginosa isolation is an important predictor for recurrent hemoptysis after bronchial artery embolization in patients with idiopathic bronchiectasis: a multicenter cohort study[J]. Respir Res, 2023, 24(1): 84.
|
| 20 |
金龙,黄璇,黄超,等. 肺炎支原体感染形成痰栓的危险因素分析[J]. 安徽医学,2024, 45(9): 1146-1150.
|
| 21 |
Green A, Cockroft JL, Kaufman RA, et al. Utility of induced sputum in assessing bacterial etiology for community-acquired pneumonia in hospitalized children[J]. J Pediatric Infect Dis Soc, 2022, 11(6): 274-282.
|
| 22 |
Waagsbø B, Buset EM, Longva JÅ,et al. Diagnostic stewardship aiming at expectorated or induced sputum promotes microbial diagnosis in community-acquired pneumonia[J]. BMC Infect Dis, 2022, 22(1): 203.
|
| 23 |
Paulsson M, Thelaus L, Riesbeck K, et al. Heparin-binding protein in lower airway samples as a biomarker for pneumonia[J]. Respir Res, 2021, 22(1): 174.
|
| 24 |
于燕兴,梅喜庆,刘凤娟,等. 高通量测序重症肺炎肺泡灌洗液病原体的临床应用[J/OL]. 中华肺部疾病杂志(电子版), 2024, 17(5): 785-788.
|
| 25 |
Heitz M, Levrat A, Lazarevic V, et al. Metagenomics for the microbiological diagnosis of hospital-acquired pneumonia and ventilator-associated pneumonia (HAP/VAP) in intensive care unit (ICU): a proof-of-concept study[J]. Respir Res, 2023, 24(1): 285.
|
| 26 |
Pinilla-gonzalez A, Lara-cantón I, Torrejón-rodríguez L, et al. Early molecular markers of ventilator-associated pneumonia in bronchoalveolar lavage in preterm infants[J]. Pediatr Res, 2023, 93(6): 1559-1565.
|
| 27 |
Chrzan R, Wizner B, Sydor W, et al. Artificial intelligence guided HRCT assessment predicts the severity of COVID-19 pneumonia based on clinical parameters[J]. BMC Infect Dis, 2023, 23(1): 314.
|
| 28 |
Mcgonagle D, Sharif K, O′Regan A, et al. The role of cytokines including interleukin-6 in COVID-19 induced pneumonia and macrophage activation syndrome-like disease[J]. Autoimmun Rev, 2020, 19(6): 102537.
|
| 29 |
Qin C, Ma H, Hu M, et al. Performance of artificial intelligence in predicting the prognossis of severe COVID-19: a systematic review and meta-analysis[J]. Front Public Health, 2024, 12: 1371852.
|
| 30 |
Barbieri MA, Battini V, Sessa M. Artificial intelligence for the optimal management of community-acquired pneumonia[J]. Curr Opin Pulm Med, 2024, 30(3): 252-257.
|