1
|
Cao B, Huang Y, She DY, Cheng QJ, Fan H, Tian XL, Xu JF, Zhang J, Chen Y, Shen N, Wang H, Jiang M, Zhang XY, Shi Y, He B, He LX, Liu YN, Qu JM. Diagnosis and treatment of community-acquired pneumonia in adults: 2016 clinical practice guidelines by the Chinese Thoracic Society, Chinese Medical Association. CLINICAL RESPIRATORY JOURNAL 2017; 12:1320-1360. [PMID: 28756639 PMCID: PMC7162259 DOI: 10.1111/crj.12674] [Citation(s) in RCA: 177] [Impact Index Per Article: 22.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/12/2017] [Accepted: 07/25/2017] [Indexed: 02/05/2023]
Abstract
Community‐acquired pneumonia (CAP) in adults is an infectious disease with high morbidity in China and the rest of the world. With the changing pattern in the etiological profile of CAP and advances in medical techniques in diagnosis and treatment over time, Chinese Thoracic Society of Chinese Medical Association updated its CAP guideline in 2016 to address the standard management of CAP in Chinese adults. Extensive and comprehensive literature search was made to collect the data and evidence for experts to review and evaluate the level of evidence. Corresponding recommendations are provided appropriately based on the level of evidence. This updated guideline covers comprehensive topics on CAP, including aetiology, antimicrobial resistance profile, diagnosis, empirical and targeted treatments, adjunctive and supportive therapies, as well as prophylaxis. The recommendations may help clinicians manage CAP patients more effectively and efficiently. CAP in pediatric patients and immunocompromised adults is beyond the scope of this guideline. This guideline is only applicable for the immunocompetent CAP patients aged 18 years and older. The recommendations on selection of antimicrobial agents and the dosing regimens are not mandatory. The clinicians are recommended to prescribe and adjust antimicrobial therapies primarily based on their local etiological profile and results of susceptibility testing, with reference to this guideline.
Collapse
Affiliation(s)
- Bin Cao
- National Clinical Research Center of Respiratory Diseases, Center for Respiratory Diseases, China-Japan Friendship Hospital, Capital Medical University, Beijing 100029, China
| | - Yi Huang
- Department of Respiratory and Critical Care Medicine, Changhai Hospital, the Second Military Medical University, Shanghai 200433, China
| | - Dan-Yang She
- Department of Respiratory and Critical Care Medicine, Chinese PLA General Hospital, Beijing 100853, China
| | - Qi-Jian Cheng
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200025, China
| | - Hong Fan
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Sichuan 610041, China
| | - Xin-Lun Tian
- Department of Pulmonary Medicine, Peking Union Medical College Hospital, Beijing 100730, China
| | - Jin-Fu Xu
- Department of Respiratory and Critical Care Medicine, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China
| | - Jing Zhang
- Department of Respiratory and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Yu Chen
- Department of Respiratory and Critical Care Medicine, Shengjing Hospital, China Medical University, Shenyang 110004, China
| | - Ning Shen
- Department of Respiratory Medicine, Peking University Third Hospital, Beijing 100191, China
| | - Hui Wang
- Department of Laboratory Medicine, Peking University People's Hospital, Beijing 100044, China
| | - Mei Jiang
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Diseases, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - Xiang-Yan Zhang
- Department of Respiratory and Critical Care Medicine, Guizhou Provincial People's Hospital, Guizhou 550002, China
| | - Yi Shi
- Department of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing 210002, China
| | - Bei He
- Department of Respiratory Medicine, Peking University Third Hospital, Beijing 100191, China
| | - Li-Xian He
- Department of Respiratory and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - You-Ning Liu
- Department of Respiratory and Critical Care Medicine, Chinese PLA General Hospital, Beijing 100853, China
| | - Jie-Ming Qu
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200025, China
| |
Collapse
|
2
|
Usefulness and prognostic value of biomarkers in patients with community-acquired pneumonia in the emergency department. Med Clin (Barc) 2017; 148:501-510. [PMID: 28391994 DOI: 10.1016/j.medcli.2017.02.024] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2016] [Revised: 02/08/2017] [Accepted: 02/16/2017] [Indexed: 01/10/2023]
Abstract
Between all patients treated in the Emergency Department (ED), 1.35% are diagnosed with community-acquired pneumonia (CAP). CAP is the main cause of death due to infectious disease (10-14%) and the most frequent reason of sepsis-septic shock in the ED. In the last decade, the search for objective tools to help establishing an early diagnosis, bacterial aetiology, severity, suspicion of bacteremia and the prognosis of mortality has increased. Biomarkers have shown their usefulness in this matter. Procalcitonin (obtains the highest accuracy for CAP diagnosis, bacterial aetiology and the presence of bacteremia), lactate (biomarker of hypoxia and tissue hypoperfusion) and proadrenomedullin (which has the greatest accuracy to predict mortality which in combination with the prognostic severity scales obtains even better results). The aim of this review is to highlight recently published scientific evidence and to compare the utility and prognostic accuracy of the biomarkers in CAP patients treated in the ED.
Collapse
|
3
|
Julián-Jiménez A, Timón Zapata J, Laserna Mendieta EJ, Parejo Miguez R, Flores Chacartegui M, Gallardo Schall P. Capacidad de la procalcitonina para predecir bacteriemia en pacientes con neumonía adquirida en la comunidad. Med Clin (Barc) 2014; 142:285-92. [DOI: 10.1016/j.medcli.2013.05.046] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2013] [Revised: 05/11/2013] [Accepted: 05/16/2013] [Indexed: 10/26/2022]
|
4
|
[Diagnostic and prognostic power of biomarkers to improve the management of community acquired pneumonia in the emergency department]. Enferm Infecc Microbiol Clin 2013; 32:225-35. [PMID: 24182623 DOI: 10.1016/j.eimc.2013.04.015] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2012] [Revised: 04/15/2013] [Accepted: 04/23/2013] [Indexed: 11/20/2022]
Abstract
OBJECTIVES To analyse the usefulness and performance of several biomarkers [C-reactive protein (CRP), mid-regional pro-adrenomedullin (MR-proADM), procalcitonin (PCT)] and lactate in predicting short- and medium-term mortality compared with the prognostic severity scales (PSS) usually employed for community-acquired pneumonia (CAP) and in assessing the aetiological suspicion of infection by Streptococcus pneumoniae and bacteraemia. METHODS Observational, prospective and analytical study was conducted on patients who were diagnosed with CAP in our emergency department (ED). The data collected included socio-demographic and comorbidity variables, Charlson index, priority level according to the Spanish Triage System (STS), stage in the Pneumonia Severity Index (PSI) and in the CURB-65 (confusion, urea, respiratory rate, blood pressure and age ≥65years), criteria of severe CAP, microbiological studies, and biomarkers determinations. The patients were followed-up for 180days to calculate the prognostic power and the diagnostic performance for bacteraemia and aetiology. RESULTS A total of 127patients were finally enrolled in the study. The 30-day mortality was 10.3% (13), and 22.6% (28) at 180 days. Blood cultures were positive in 29 patients (23%) and S.pneumoniae was identified as the responsible pathogen in 28 cases (22.2%). The area under the ROC curve (AUC-ROC) for lactate and MR-proADM to predict 30-day mortality was 0.898 (95%CI: 0.824-0.973; P<.0001) and 0.892 (95%CI: 0.811-0.974; P<.0001), respectively, and for MR-proADM at 180 days it was 0.921 (95%CI: 0.874-0.968; P<.0001). The AUC-ROC for PCT to predict bacteraemia was 0.952 (95%CI: 0.898-1.000; P<.0001) and, considering a cut-off value ≥0.95ng/ml, the negative predictive value (NPV) and the likelihood ratio (LR+) were 97.8% and 9.03, respectively. Using a PCT cut-off value >0.85ng/ml, the NPV and the LR+ were 96.6% and 5.89%, respectively, to predict a S.pneumoniae infection. CONCLUSIONS MR-proADM and lactate showed a similar or even better performance for 30-day intra-hospital mortality than PSI, CURB-65, STS and CAP severity criteria in patients diagnosed with CAP (P>.05). Furthermore, the MR-proADM capacity to predict 180-day mortality was higher than PSS and the rest of biomarkers (P>.05), and its AUC-ROC increased if it was used in combination with PSI, CURB65 and STS. The determination of PCT has a remarkable diagnostic performance to rule out bacteraemia and to orientate the aetiology towards a S.pneumoniae infection.
Collapse
|