Literature DB >> 27911103

Tools for outcome prediction in patients with community acquired pneumonia.

Faheem Khan1, Mark B Owens1, Marcos Restrepo2, Pedro Povoa3,4, Ignacio Martin-Loeches1,5.   

Abstract

INTRODUCTION: Community-acquired pneumonia (CAP) is one of the most common causes of mortality world-wide. The mortality rate of patients with CAP is influenced by the severity of the disease, treatment failure and the requirement for hospitalization and/or intensive care unit (ICU) management, all of which may be predicted by biomarkers and clinical scoring systems. Areas covered: We review the recent literature examining the efficacy of established and newly-developed clinical scores, biological and inflammatory markers such as C-Reactive protein (CRP), procalcitonin (PCT) and Interleukin-6 (IL-6), whether used alone or in conjunction with clinical severity scores to assess the severity of CAP, predict treatment failure, guide acute in-hospital or ICU admission and predict mortality. Expert commentary: The early prediction of treatment failure using clinical scores and biomarkers plays a developing role in improving survival of patients with CAP by identifying high-risk patients requiring hospitalization or ICU admission; and may enable more efficient allocation of resources. However, it is likely that combinations of scoring systems and biomarkers will be of greater use than individual markers. Further larger studies are needed to corroborate the additive value of these markers to clinical prediction scores to provide a safer and more effective assessment tool for clinicians.

Entities:  

Keywords:  APACHE; CURB; Pneumonia; community acquired pneumonia; scores; sepsis; treatment failure

Mesh:

Substances:

Year:  2016        PMID: 27911103     DOI: 10.1080/17512433.2017.1268051

Source DB:  PubMed          Journal:  Expert Rev Clin Pharmacol        ISSN: 1751-2433            Impact factor:   5.045


  7 in total

1.  Association of Vitamin D Status with the Severity and Mortality of Community-Acquired Pneumonia in Iran during 2016-2017: A Prospective Cohort Study.

Authors:  Fatemeh Talebi; Mehrnaz Rasooli Nejad; Mehdi Yaseri; Azar Hadadi
Journal:  Rep Biochem Mol Biol       Date:  2019-04

2.  Footprints of Sepsis Framed Within Community Acquired Pneumonia in the Blood Transcriptome.

Authors:  Lydia Hopp; Henry Loeffler-Wirth; Lilit Nersisyan; Arsen Arakelyan; Hans Binder
Journal:  Front Immunol       Date:  2018-07-17       Impact factor: 7.561

3.  Circulating sphingosine-1-phosphate as a prognostic biomarker for community-acquired pneumonia.

Authors:  Shih-Chang Hsu; Jer-Hwa Chang; Yuan-Pin Hsu; Kuan-Jen Bai; Shau-Ku Huang; Chin-Wang Hsu
Journal:  PLoS One       Date:  2019-05-15       Impact factor: 3.240

4.  A Hospital-based Study on the Local Epidemiology of Pneumonia Including the Contribution of Legionella Pneumonia.

Authors:  Albert Iruthiaraj Lourdesamy Anthony; Zarifah Zam; Narwani Hussin
Journal:  Malays J Med Sci       Date:  2020-12-29

5.  Predictive roles of D-dimer for mortality of patients with community-acquired pneumonia: a systematic review and meta-analysis.

Authors:  Cheng Yang; Han-Hua Zeng; Juan Huang; Qian-Yun Zhang; Kun Lin
Journal:  J Bras Pneumol       Date:  2021-12-15       Impact factor: 2.624

6.  Sphingosine-1-phosphate and CRP as potential combination biomarkers in discrimination of COPD with community-acquired pneumonia and acute exacerbation of COPD.

Authors:  Chin-Wang Hsu; Chi-Won Suk; Yuan-Pin Hsu; Jer-Hwa Chang; Chung-Te Liu; Shau-Ku Huang; Shih-Chang Hsu
Journal:  Respir Res       Date:  2022-03-20

7.  The moderate predictive value of serial serum CRP and PCT levels for the prognosis of hospitalized community-acquired pneumonia.

Authors:  Shuren Guo; Xiaohuan Mao; Ming Liang
Journal:  Respir Res       Date:  2018-10-01
  7 in total

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