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Record W2576777247

Blood pressure monitoring under general anesthesia in the dog: comparative study between invasive and non-invasive method

2016· article· en· W2576777247 on OpenAlexaboutno aff
Cecilia Vullo, Angela Palumbo Piccionello, Alessandro Fruganti, Fabrizio Dini, Alberto Salvaggio, Annarita Attili, Adolfo Maria Tambella

Bibliographic record

VenueUnicam Scientific Publications (University of Camerino) · 2016
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Medicine and Surgery
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAnesthesiaBlood pressureInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Hypotension is a common complication during anaesthesia and it has been hypothesized that monitoring of cardiovascular and respiratory function may reduce anaesthetic related mortality. Perfusion of vital organs is the key function of the cardiovascular system. Aortic pressure measurement is an important indicator of organ perfusion. Peripheral arterial blood pressure is commonly used to assess cardiovascular status in clinical practice, although it differs from the central blood pressure and it is not considered a completely reliable indicator of tissue perfusion. Invasive, direct, arterial pressure monitoring via cannulation of a peripheral artery (IBP) is considered more accurate than non-invasive, indirect, oscillometric method (NIBP) in both awake and anesthetized animals, and allows for continuous measurements instead of intermittent values obtainable with NIBP.
\nThe aim of the study was to compare IBP and NIBP detected simultaneously in dogs during general anaesthesia.
\nFifteen ASA I (American Society of Anaesthesiologists) female dogs, aged between 11 months and 4 years, with an average weight of 31.7 kg (range: 19 to 41 kg), 5 mix-breed and 10 pure-breed dogs (among which German and Belgian Shepherd, Labrador and Golden Retriever, Bernese Mountain Dog), undergoing elective laparotomic ovariectomy, were utilized to perform the study. Both IBP and NIBP were measured simultaneously during general anaesthesia, in the same dogs, every 2 minutes for a total of 30 minutes, using multiparametric BeneView 8 anesthetic monitor (Shenzhen Mindray Bio-Medical Elettronics Co., Ltd). IBP measurements were obtained using a catheter placed in the dorsal pedal artery and an electronic pressure transducer. NIBP measurements were obtained using an appropriately sized cuff placed around the contralateral metatarsal region. Systolic (SAP), diastolic (DAP) and mean (MAP) arterial pressures measured in each dog, in each study time, with NIBP and with IBP were compared using a Student t-test. All data were analysed with statistical software (STATA Software, Version 13.1 SE, College Station, Texas, USA).
\nAll dogs completed the study. The mean±sd SAP obtained using NIBP (98.65±21.70 mmHg) and IBP (101.21±17.90 mmHg) were almost superimposable [P>0.05], while mean±sd DAP and MAP obtained using NIBP (DAP: 58.55±18.17; MAP: 68.55±19.58 mmHg) and IBP (MAP: 66.81±15.89; DAP: 75.07±15.20 mmHg) presented no statistically significant discrepancies [P>0.05]. The trend of NIBP values was lower than that of the IBP values providing interesting ideas for further study.
\nThe results obtained in this study suggest that both methods are accurate and reliable in dogs during general anaesthesia. Non-invasive method seems to be almost as valid as the invasive method for the assessment of the cardiovascular system, in relation to the characteristics of the monitor used.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.170
Threshold uncertainty score0.535

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.110
GPT teacher head0.340
Teacher spread0.230 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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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Citations0
Published2016
Admission routes1
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