CAP Severity Scores
Version 1

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This Shiny-App implements the calculation of several CAP (Community-Aquired-Pneumonia) severity scores for one or multiple patients based on user-updated data.

LHA ID: 82YEYGRM44-7

1 item is associated with this Model:

Human Disease: Pneumonia

Model type: Algebraic equations

Model format: R package

Execution or visualisation environment: Shiny


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Created: 8th Jul 2020 at 11:04

Last updated: 8th Jul 2020 at 11:42

Last used: 24th Apr 2024 at 16:59

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Version 1 Created 8th Jul 2020 at 11:04 by Carl Beuchel

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Genetical Statistics and Systems Biology

The group is interested in omic-level studies including the genome, methylome, transcriptome, and metabolome of the general population as well as of various diseases including cardiovascular diseases, pneumonia, sepsis, obesity, and brain cancers. Additionally, we aim at transfering results of biomathematical model simulations into clinical practice e.g. by haematopoietic growth-factor opimization during cytotoxic chemotherapy and optimization of EPO applications in chronic kidney disease.

The ...

Programme: This Project is not associated with a Programme

Public web page: http://www.imise.uni-leipzig.de/en/Groups/GenStat/

Start date: 1st Jan 2013

Sequential organ failure assessment score is an excellent operationalization of disease severity of adult patients with hospitalized community acquired pneumonia - results from the prospective observational PROGRESS study.
Genetical Statistics and Systems Biology

Abstract (Expand)

BACKGROUND: CAP (Community acquired pneumonia) is frequent, with a high mortality rate and a high burden on health care systems. Development of predictive biomarkers, new therapeutic concepts, and … epidemiologic research require a valid, reproducible, and quantitative measure describing CAP severity. METHODS: Using time series data of 1532 patients enrolled in the PROGRESS study, we compared putative measures of CAP severity for their utility as an operationalization. Comparison was based on ability to correctly identify patients with an objectively severe state of disease (death or need for intensive care with at least one of the following: substantial respiratory support, treatment with catecholamines, or dialysis). We considered IDSA/ATS minor criteria, CRB-65, CURB-65, Halm criteria, qSOFA, PSI, SCAP, SIRS-Score, SMART-COP, and SOFA. RESULTS: SOFA significantly outperformed other scores in correctly identifying a severe state of disease at the day of enrollment (AUC = 0.948), mainly caused by higher discriminative power at higher score values. Runners-up were the sum of IDSA/ATS minor criteria (AUC = 0.916) and SCAP (AUC = 0.868). SOFA performed similarly well on subsequent study days (all AUC > 0.9) and across age groups. In univariate and multivariate analysis, age, sex, and pack-years significantly contributed to higher SOFA values whereas antibiosis before hospitalization predicted lower SOFA. CONCLUSIONS: SOFA score can serve as an excellent operationalization of CAP severity and is proposed as endpoint for biomarker and therapeutic studies. TRIAL REGISTRATION: clinicaltrials.gov NCT02782013 , May 25, 2016, retrospectively registered.

Authors: P. Ahnert, P. Creutz, K. Horn, F. Schwarzenberger, M. Kiehntopf, H. Hossain, M. Bauer, F. M. Brunkhorst, K. Reinhart, U. Volker, T. Chakraborty, M. Witzenrath, M. Loffler, N. Suttorp, M. Scholz

Date Published: 4th Apr 2019

Publication Type: Journal article

Human Diseases: pneumonia

pneumonia

Taxonomy URI: http://purl.obolibrary.org/obo/DOID_552

Synonyms: acute pneumonia

Definitions: A lung disease that involves lung parenchyma or alveolar inflammation and abnormal alveolar filling with fluid (consolidation and exudation). It results from a variety of causes including infection with bacteria, viruses, fungi or parasites, and chemical or physical injury to the lungs. It is accompanied by fever, chills, cough, and difficulty in breathing.

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