About: Development and validation of a semi-automated surveillance system—lowering the fruit for non-ventilator-associated hospital-acquired pneumonia (nvHAP) prevention()

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Development and validation of a semi-automated surveillance system—lowering the fruit for non-ventilator-associated hospital-acquired pneumonia (nvHAP) prevention() Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Development and validation of a semi-automated surveillance system—lowering the fruit for non-ventilator-associated hospital-acquired pneumonia (nvHAP) prevention()
Creator	Clack, L Faes Hesse, M Jakob, W Kuster, S Meier, A Sax, H Schreiber, P Wolfensberger, *
source	Elsevier; Medline; PMC
abstract	OBJECTIVES: Conducting manual surveillance of non-ventilator-associated hospital-acquired pneumonia (nvHAP) using ECDC (European Centre for Disease Prevention and Control) surveillance criteria is very resource intensive. We developed and validated a semi-automated surveillance system for nvHAP, and describe nvHAP incidence and aetiology at our hospital. METHODS: We applied an automated classification algorithm mirroring ECDC definition criteria to distinguish patients ‘not at risk’ from patients ‘at risk’ for suffering from nvHAP. ‘At risk’-patients were manually screened for nvHAP. For validation, we applied the reference standard of full manual evaluation to three validation samples comprising 2091 patients. RESULTS: Among the 39 519 University Hospital Zurich inpatient discharges in 2017, the algorithm identified 2454 ‘at-risk’ patients, reducing the number of medical records to be manually screened by 93.8%. From this subset, nvHAP was identified in 251 patients (0.64%, 95%CI: 0.57–0.73). Sensitivity, negative predictive value, and accuracy of semi-automated surveillance versus full manual surveillance were lowest in the validation sample consisting of patients with HAP according to the International Classification of Diseases (ICD-10) discharge diagnostic codes, with 97.5% (CI: 93.7–99.3%), 99.2% (CI: 97.9–99.8%), and 99.4% (CI: 98.4–99.8%), respectively. The overall incidence rate of nvHAP was 0.83/1000 patient days (95%CI: 0.73–0.94), with highest rates in haematology/oncology, cardiac and thoracic surgery, and internal medicine including subspecialties. CONCLUSIONS: The semi-automated surveillance demonstrated a very high sensitivity, negative predictive value, and accuracy. This approach significantly reduces manual surveillance workload, thus making continuous nvHAP surveillance feasible as a pivotal element for successful prevention efforts.
has issue date	2019-03-25(xsd:dateTime)
bibo:doi	10.1016/j.cmi.2019.03.019
bibo:pmid	30922931
has license	no-cc
sha1sum (hex)	c319654afc6b5f346e3d5d05f64dc04c074482fd
schema:url	https://doi.org/10.1016/j.cmi.2019.03.019
resource representing a document's title	Development and validation of a semi-automated surveillance system—lowering the fruit for non-ventilator-associated hospital-acquired pneumonia (nvHAP) prevention()
has PubMed Central identifier	PMC7128786
has PubMed identifier	30922931
schema:publication	Clin Microbiol Infect
resource representing a document's body	covid:c319654afc6b5f346e3d5d05f64dc04c074482fd#body_text
is schema:about of	named entity 'validation' named entity 'screened' named entity 'negative' named entity 'full' named entity 'algorithm' named entity 'screened' named entity 'Results' named entity 'Sensitivity' named entity 'oncology' named entity 'manually' named entity 'risk' named entity 'pneumonia' covid:arg/c319654afc6b5f346e3d5d05f64dc04c074482fd named entity 'patients' named entity 'patients' named entity 'patients' named entity 'cardiac' named entity 'sensitivity' named entity 'ICD-10' named entity 'manual' named entity 'pivotal' named entity 'surveillance' named entity 'high' named entity 'developed' named entity 'validation' named entity 'surveillance' named entity 'medical records' named entity 'ventilator-associated' named entity 'aetiology' named entity 'thoracic surgery' named entity 'internal medicine' named entity 'University Hospital Zurich' named entity 'European Centre for Disease Prevention and Control' named entity 'oncology' named entity 'classification algorithm' named entity 'fruit' named entity 'days' named entity 'endocrinology' named entity 'microbiology' named entity 'immunocompromised' named entity 'aetiology' named entity 'tertiary care centre' named entity 'College Station, TX' named entity 'urine' named entity 'EMRs' named entity 'HAPs' named entity 'EMR' named entity 'risk factors' named entity 'fever' named entity 'University Hospital Zurich' named entity 'data warehouse' named entity 'obstetrics' named entity 'leucocyte count' named entity 'HAP' named entity 'elderly patients' named entity 'aspirate' named entity 'radiological procedures' named entity 'ECDC' named entity 'bronchoscopic' named entity 'ICD-10' named entity 'infection' named entity '95% CI' named entity 'point prevalence' named entity 'Hospital-acquired pneumonia' named entity 'anaemia' named entity 'neglected disease' named entity 'HAP' named entity 'x-ray' named entity 'Switzerland' named entity 'blood culture' named entity 'microscopic examination' named entity 'internal medicine' named entity 'neurology' named entity 'haematology'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software