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"QASC Europe" The First Experience In Italy : The Observational Study Phase At The San Camillo Hospital And Analysis Of The Collected Data

2017· other· en· W6908558196 on OpenAlexaboutno aff

Bibliographic record

VenueBiblioBoard Library Catalog (Open Research Library) · 2017
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsStroke (engine)Observational studyPsychological interventionAuditAcute strokeDiseaseData collection

Abstract

fetched live from OpenAlex

IntroductionApproximately 15 million people worldwide suffer a stroke each year.1 There is compelling evidence that improved patient outcomes are achieved through early intervention in acute stroke care including thrombolysis, endovascular clot retrieval2 and access to specialised in-patient stroke units. Hyperglycaemia, swallowing dysfunction and elevated temperature are physiological variables known to be associated with poorer stroke outcomes. Optimal management of fever, hyperglycaemia and dysphagia have been identified in international guidelines as priorities for inpatient stroke management.The Quality in Acute Stroke Care (QASC) Trial, has shown in the countries where the study was conducted that multidisciplinary, nurse-led interventions to manage fever, hyperglycaemia and swallow difficulties following acute stroke significantly improved health outcomes. Results showed that supported implementation of the Fever, Sugar, Swallow (FeSS) Clinical Protocols resulted in 16% decreased death and dependency at 90-days, and in-hospital: reduced mean temperatures, reduced mean glucose levels and improved swallow screening management. There also was a non-significant reduction in length of stay by two days. Results were fast-tracked for publication in The Lancet, with a commentary, winning the Canadian Stroke Congress Award for Impact in 2011 and the 2012 American Heart Association Council on Cardiovascular Nursing Stroke Article of the year. The Italian study was conducted at the San Camillo Forlanini Hospital in Rome, which is an important hub of the regional Stroke network.MethodIn the first phase, we proceeded to audit the medical records of (n u00b0 42) patients hospitalized from June to August 2018 with diagnoses of ICD 10 acceptance. For cases at provisional intervals (six months) we will proceed to a new audit titled u201cClinical i results of the treatment processesu201d, and we will verify the implementation of the protocol via body temperature measurements every four to six hours for the first 72 hours, along with eventual treatment. Blood glucose measurements will be taken every four to six hours in the first 72 hours, and possible treatment steps will commence. Evaluation of swallowing ability in the first 24 hours from admission will be assessed, and logopedic advice will be given, as appropriate. The aim of the study is to compare the data obtained with the literature (16 percent reduction in deaths, reduction in hospitalization days [2 days], longer-term survival > 20 percent).ResultsIt was found that the detection of temperature and blood sugar in the first 72 hours after admission is made occasionally, while great attention is paid to the detection of swallowing disorders secondary to stroke.Discussion and ConclusionsThe first results confirmed the importance of this treatmentu2019s role in the management of this pathology in reducing complications and increasing benefits to stroke victims in Italy.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Bibliometrics, Science and technology studies, Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Open science
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.338
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0080.061
Science and technology studies0.0030.006
Scholarly communication0.0060.009
Open science0.0390.053
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0060.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.269
GPT teacher head0.425
Teacher spread0.157 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Published2017
Admission routes1
Has abstractyes

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