A Nomogram for Early Diagnosis of Community-Acquired Pneumonia Based on Bronchoalveolar Lavage Fluid Metabolomics

References

• Wunderink RG, Waterer GW, Solomon CG. Community-acquired pneumonia. N Engl J Med. 2014;370(19):1863. doi:10.1056/NEJMcp1214869
   PubMedGoogle Scholar
• Franco J. Community-acquired Pneumonia. Radiol Technol. 2017;88(6):621–636.
   PubMed Web of Science ®Google Scholar
• Maughan BC, Asselin N, Carey JL, et al. False-negative chest radiographs in emergency department diagnosis of pneumonia. R I Med J. 2014;97(8):20–23.
   Google Scholar
• Huang Y, Liu A, Liang L, et al. Diagnostic value of blood parameters for community-acquired pneumonia. Int Immunopharmacol. 2018;64:10–15. doi:10.1016/j.intimp.2018.08.022
   PubMed Web of Science ®Google Scholar
• Toy D, Siegel MD, Rubinowitz AN. Imaging in the intensive care unit. Semin Respir Crit Care Med. 2022;43(6):899–923. doi:10.1055/s-0042-1750041
   PubMedGoogle Scholar
• Scott J, Waite S, Napolitano A. Restricting daily chest radiography in the intensive care unit: implementing evidence-based medicine to decrease utilizationt. J Am Coll Radiol. 2021;18(3Pt A):354–360. doi:10.1016/j.jacr.2020.05.035
   PubMedGoogle Scholar
• Kaziani K, Sotiriou A, Dimopoulos G. Duration of pneumonia therapy and the role of biomarkers. Curr Opin Infect Dis. 2017;30(2):221–225. doi:10.1097/QCO.0000000000000351
   PubMed Web of Science ®Google Scholar
• Genné D, Kaiser L, Kinge TN, Lew D. Community-acquired pneumonia: causes of treatment failure in patients enrolled in clinical trials. Clin Microbiol Infect. 2003;9(9):949–954. doi:10.1046/j.1469-0691.2003.00679.x
   PubMed Web of Science ®Google Scholar
• Seo H, Cha SI, Shin KM, et al. Community-acquired pneumonia with negative chest radiography findings: clinical and radiological features. Respiration. 2019;97(6):508–517. doi:10.1159/000495068
   PubMed Web of Science ®Google Scholar
• Rendon DR, Shiau J, Sherman SV. Lobar pneumonia presenting as fever, headaches, and a negative chest radiograph. Am J Med. 2023. doi:10.1016/j.amjmed.2022.12.022
   PubMed Web of Science ®Google Scholar
• Ravi LI, Li L, Sutejo R, et al. A systems-based approach to analyse the host response in murine lung macrophages challenged with respiratory syncytial virus. Bmc Genom. 2013;14:190. doi:10.1186/1471-2164-14-190
   PubMed Web of Science ®Google Scholar
• Kash JC, Taubenberger JK. The role of viral, host, and secondary bacterial factors in influenza pathogenesis. Am J Pathol. 2015;185(6):1528–1536. doi:10.1016/j.ajpath.2014.08.030
   PubMed Web of Science ®Google Scholar
• Mizgerd JP. Acute lower respiratory tract infection. N Engl J Med. 2008;358(7):716–727. doi:10.1056/NEJMra074111
   PubMed Web of Science ®Google Scholar
• Sungurlu S, Balk RA. The role of biomarkers in the diagnosis and management of pneumonia. Clin Chest Med. 2018;39(4):691–701. doi:10.1016/j.ccm.2018.07.004
   PubMed Web of Science ®Google Scholar
• Salluh J, Souza-Dantas VC, Póvoa P. The current status of biomarkers for the diagnosis of nosocomial pneumonias. Curr Opin Crit Care. 2017;23(5):391–397. doi:10.1097/MCC.0000000000000442
   PubMed Web of Science ®Google Scholar
• Scicluna BP, Klein KP, van Vught LA, et al. A molecular biomarker to diagnose community-acquired pneumonia on intensive care unit admission. Am J Respir Crit Care Med. 2015;192(7):826–835. doi:10.1164/rccm.201502-0355OC
   PubMed Web of Science ®Google Scholar
• Severino P, Silva E, Baggio-Zappia GL, et al. Patterns of gene expression in peripheral blood mononuclear cells and outcomes from patients with sepsis secondary to community acquired pneumonia. PLoS One. 2014;9(3):e91886. doi:10.1371/journal.pone.0091886
   PubMed Web of Science ®Google Scholar
• Schuetz P, Wolbers M, Christ-Crain M, et al. Prohormones for prediction of adverse medical outcome in community-acquired pneumonia and lower respiratory tract infections. Crit Care. 2010;14(3):R106. doi:10.1186/cc9055
   PubMed Web of Science ®Google Scholar
• Stringer KA, McKay RT, Karnovsky A, Quémerais B, Lacy P. Metabolomics and Its application to acute lung diseases. Front Immunol. 2016;7:44. doi:10.3389/fimmu.2016.00044
   PubMed Web of Science ®Google Scholar
• Serkova NJ, Standiford TJ, Stringer KA. The emerging field of quantitative blood metabolomics for biomarker discovery in critical illnesses. Am J Respir Crit Care Med. 2011;184(6):647–655. doi:10.1164/rccm.201103-0474CI
   PubMed Web of Science ®Google Scholar
• To KK, Lee KC, Wong SS, et al. Lipid metabolites as potential diagnostic and prognostic biomarkers for acute community acquired pneumonia. Diagn Microbiol Infect Dis. 2016;85(2):249–254. doi:10.1016/j.diagmicrobio.2016.03.012
   PubMed Web of Science ®Google Scholar
• Zheng Y, Ning P, Luo Q, et al. Inflammatory responses relate to distinct bronchoalveolar lavage lipidome in community-acquired pneumonia patients: a pilot study. Respir Res. 2019;20(1):82. doi:10.1186/s12931-019-1028-8
   PubMedGoogle Scholar
• Chinese Thoracic Society. Guidelines for the diagnosis and treatment of Chinese adult community-acquired pneumonia (2016). Chin J Tuberculosis Respir Dis. 2016;39(4):253–279.
   Google Scholar
• Mandell LA, Wunderink RG, Anzueto A, et al. Infectious Diseases Society of America/American Thoracic Society consensus guidelines on the management of community-acquired pneumonia in adults. Clin Infect Dis. 2007;44(Suppl 2):S27–S72. doi:10.1086/511159
   PubMed Web of Science ®Google Scholar
• Wang S, Tian S, Li Y, et al. Development and validation of a novel scoring system developed from a nomogram to identify malignant pleural effusion. Ebiomedicine. 2020;58:102924. doi:10.1016/j.ebiom.2020.102924
   PubMed Web of Science ®Google Scholar
• Liu C, Li L, Song K, et al. A nomogram for predicting mortality in patients with COVID-19 and solid tumors: a multicenter retrospective cohort study. J Immunother Cancer. 2020;8(2):e001314. doi:10.1136/jitc-2020-001314
   PubMed Web of Science ®Google Scholar
• Mirnezami R, Kinross JM, Vorkas PA, et al. Implementation of molecular phenotyping approaches in the personalized surgical patient journey. Ann Surg. 2012;255(5):881–889. doi:10.1097/SLA.0b013e31823e3c43
   PubMed Web of Science ®Google Scholar
• Su L, Huang Y, Zhu Y, et al. Discrimination of sepsis stage metabolic profiles with an LC/MS-MS-based metabolomics approach. BMJ Open Respir Res. 2014;1(1):e56. doi:10.1136/bmjresp-2014-000056
   Google Scholar
• Ning P, Zheng Y, Luo Q, et al. Metabolic profiles in community-acquired pneumonia: developing assessment tools for disease severity. Crit Care. 2018;22(1):130. doi:10.1186/s13054-018-2049-2
   PubMedGoogle Scholar
• Gesell Salazar M, Neugebauer S, Kacprowski T, et al. Association of proteome and metabolome signatures with severity in patients with community-acquired pneumonia. J Proteomics. 2020;214:103627. doi:10.1016/j.jprot.2019.103627
   PubMed Web of Science ®Google Scholar
• Neugebauer S, Giamarellos-Bourboulis EJ, Pelekanou A, et al. Metabolite profiles in sepsis: developing prognostic tools based on the type of infection. Crit Care Med. 2016;44(9):1649–1662. doi:10.1097/CCM.0000000000001740
   PubMed Web of Science ®Google Scholar
• Ferrario M, Cambiaghi A, Brunelli L, et al. Mortality prediction in patients with severe septic shock: a pilot study using a target metabolomics approach. Sci Rep. 2016;6:20391. doi:10.1038/srep20391
   PubMed Web of Science ®Google Scholar
• Langley RJ, Tsalik EL, van Velkinburgh JC, et al. An integrated clinico-metabolomic model improves prediction of death in sepsis. Sci Transl Med. 2013;5(195):195r. doi:10.1126/scitranslmed.3005893
   Web of Science ®Google Scholar
• To KK, Lee KC, Wong SS, et al. Lipid mediators of inflammation as novel plasma biomarkers to identify patients with bacteremia. J Infect. 2015;70(5):433–444. doi:10.1016/j.jinf.2015.02.011
   PubMed Web of Science ®Google Scholar
• Drobnik W, Liebisch G, Audebert FX, et al. Plasma ceramide and lysophosphatidylcholine inversely correlate with mortality in sepsis patients. J Lipid Res. 2003;44(4):754–761. doi:10.1194/jlr.M200401-JLR200
   PubMed Web of Science ®Google Scholar
• Li J, Luu L, Wang X, et al. Metabolomic analysis reveals potential biomarkers and the underlying pathogenesis involved in Mycoplasma pneumoniae pneumonia. Emerg Microbes Infect. 2022;11(1):593–605. doi:10.1080/22221751.2022.2036582
   PubMed Web of Science ®Google Scholar
• Hishikawa D, Hashidate T, Shimizu T, Shindou H. Diversity and function of membrane glycerophospholipids generated by the remodeling pathway in mammalian cells. J Lipid Res. 2014;55(5):799–807. doi:10.1194/jlr.R046094
   PubMed Web of Science ®Google Scholar
• Zeng C, Wen B, Hou G, et al. Lipidomics profiling reveals the role of glycerophospholipid metabolism in psoriasis. Gigascience. 2017;6(10):1–11. doi:10.1093/gigascience/gix087
   Web of Science ®Google Scholar
• Chen R, Liang W, Jiang M, et al. Risk factors of fatal outcome in hospitalized subjects with coronavirus disease 2019 from a nationwide analysis in China. Chest. 2020;158(1):97–105. doi:10.1016/j.chest.2020.04.010
   PubMed Web of Science ®Google Scholar
• Fei Y. Analysis of relevant factors affecting the prognosis with severe pneumonia and research on the value of establishing nomogram prediction model. J Clin Emerg. 2020;21(10):819–825.
   Google Scholar
• Shang L, Xu J, Cao B. Viral pneumonia in China: from surveillance to response. Lancet Public Health. 2020;5(12):e633–e634. doi:10.1016/S2468-2667(20)30264-4
   PubMed Web of Science ®Google Scholar
• Hoffman AM. Bronchoalveolar lavage: sampling technique and guidelines for cytologic preparation and interpretation. Vet Clin North Am Equine Pract. 2008;24(2):423–35, vii–viii. doi:10.1016/j.cveq.2008.04.003
   Web of Science ®Google Scholar
• Anan K, Oshima Y, Ogura T, et al. Safety and harms of bronchoalveolar lavage for acute respiratory failure: a systematic review and meta-analysis. Respir Investig. 2022;60(1):68–81. doi:10.1016/j.resinv.2021.07.008
   PubMed Web of Science ®Google Scholar
• Gerds TA, Cai T, Schumacher M. The performance of risk prediction models. Biometrical J. 2008;50(4):457–479. doi:10.1002/bimj.200810443
   PubMed Web of Science ®Google Scholar
• Pencina MJ, Goldstein BA, D’Agostino RB. Prediction models - development, evaluation, and clinical application. N Engl J Med. 2020;382(17):1583–1586. doi:10.1056/NEJMp2000589
   PubMed Web of Science ®Google Scholar
• Staffa SJ, Zurakowski D. Statistical development and validation of clinical prediction models. Anesthesiology. 2021;135(3):396–405. doi:10.1097/ALN.0000000000003871
   PubMed Web of Science ®Google Scholar