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Medical Case Reports
ISSN: 2471-8041
May 28-29, 2018
London, UK
Case Reports 2018
Page 35
8th Edition of International Conference on
Clinical and Medical Case Reports
Background & Aim: The aim of this study is to develop a new
method that is able to accurately predict the 28 day hospital
mortality in patientswith severe community acquired pneumonia
(SCAP) at an early stage.
Methods: We selected 37,348 SCAP patients in ICU from173
hospitals during 2011.01–2013.12. The predictive factors for 28
day hospital mortality were evaluated retrospectively. All cases
underwent intensive care, blood routine, blood biochemical tests
and arterial blood gas analysis. Under the classification and
regression tree (CART) analysis, a new clinical scoring system
was developed for early prediction in SCAP patients. The receiver
operating characteristic (ROC) curve was plotted to calculate the
area under the receiver operating characteristic curve (AUC).
Results: A novel clinical model named CLCGH scoring system,
including serum creatinine (Cr) ≥259.5 μmol/L, leukocyte (WBC)
≥17.35×109/L, C-reactive protein (CRP) ≥189.4 μg/mL, GCS ≤9
and serum HCO3− ≤17.65 mmol/L, was carried out and each
index was an independent factor for hospital mortality in SCAP.
In validation cohort, the AUC of the new scoring system was
0.889 for prediction of hospital mortality, which was similar to
SOFA score 0.877, APACHE II score 0.864, and was better than
the PSI score 0.761 and CURB-65 score 0.767.
Conclusions: The new scoring system CLCGH is an efficient,
accurate and objective method to predicate the early hospital
mortality among SCAP patients.
Biography
Xin Wang has completed his PhD and MD from Tianjin Medical University.
He is the Head of the Department of Internal Medicine, a premier research
organization. He has publishedmore than 5 papers in reputed journals and
has been serving as an Editorial Board Member of repute journals
A new method to predict hospital mortality
in severe community acquired pneumonia
Xin Wang
Tianjin 4th Central Hospital, China
Xin Wang, Med Case Rep. 2018, Volume 4
DOI:10.21767/2471-8041-C1-001