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Features of Hemodynamics in Elderly Patients Undergoing CABG Surgery at the Stage of Induction Anesthesia

2023· article· en· W4390446207 on OpenAlexaboutno aff
Andrii R. Vitovskyi

Bibliographic record

VenueUkrainian journal of cardiovascular surgery · 2023
Typearticle
Languageen
FieldMedicine
TopicCardiac, Anesthesia and Surgical Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHemodynamicsPropofolHeart failureFentanylCardiopulmonary bypassPopulationCardiologyArteryAnesthesiaSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Due to the global trend of the population ageing, an important task of modern medicine is to improve the provision of medical care for elderly patients. These people have reduced compensatory reserves of the body and numerous chronic pathologies, necessitating a more meticulous approach to anesthesia induction and maintenance by anesthesiologists. According to the authors, the use of propofol and fentanyl leads to decreased myocardial contractility and reduction in overall peripheral vascular resistance. However, the resulting decrease in perfusion pressure in vital organs and tissues, as a consequence of the aforementioned effects, is unacceptable in elderly patients with coronary heart disease (CHD). The aim . To analyze changes in hemodynamics in elderly patients undergoing coronary artery bypass grafting (CABG) during the induction of anesthesia. Materials and methods. A prospective study was conducted which included the results of examination of 20 patients with CHD over 60 years old who underwent CABG without the use of cardiopulmonary bypass at the National Amosov Institute of Cardiovascular Surgery (Kyiv, Ukraine). The mean age of the patients was 67.5±6.8 years. There were 16 (80%) men and 4 (20%) women. Typical manifestations of heart failure were noted (there were 1 [5%], 10 [50%] and 9 [45%] NYHA functional class I, II and III patients, respectively). Also, the patients were classified according to the Canadian classification of angina: 1 (5%), 9 (45%) and 10 (50%) patients fell within class I, II and III, respectively. Stage 2-3 hypertension was reported in 18 patients (90%). For induction of anesthesia, the following medications were used: propofol 1.5 mg/kg, fentanyl 2.0 μg/kg, and rocuronium bromide 0.1 mg/kg. Anesthesia maintenance included: propofol 4 mg/kg/hour, fentanyl 2.0 μg/kg/hour. Hemodynamic parameters saturation indices (SpO2), and transthoracic echocardiography parameters were recorded at the following stages: 1) upon the patient’s arrival in the operating room; 2) prior to tracheal intubation; 3) immediately after tracheal intubation; 4) 25 minutes after intubation. Results. Upon arrival in the operating room, the hemodynamic parameters reflected stable general condition of the examined patients. After administration of induction agents according to the study design, it was recorded that mean blood pressure (BP) was 72.7±4.76% (p<0.001), heart rate was 89.8±5.95% (p=0.0004), cardiac index was 81.47±6.6% (p<0.001), and systemic vascular resistance index (SVRI) was 89.9±7.02% of the baseline values (p=0.063). After intubation, an increase in most hemodynamic indicators was observed, although only mean BP, which constituted 86.7±8.8% of the baseline data (p<0.001), and SVRI (89.8±11.04% of the baseline data, p=0.0315), significantly differed from the baseline values. Within 25 minutes after the intubation, the parameters decreased again: with mean BP 74.9±7.9% (p<0.001), heart rate 91.3±9.5% (p=0.008), cardiac index 79.6±10.1% (p<0.001), and SVRI 91.1±9.34% (p=0.062) of the baseline values. Conclusions. The main changes in hemodynamics were reported during induction of anesthesia, where a significant decrease in most indicators compared to the baseline state was recorded. After intubation, the parameters slightly increased but did not return to the baseline values. During further anesthesia maintenance, a significant decrease in most indicators relative to the baseline data were observed. The instability of hemodynamic parameters during the induction stage of anesthesia in elderly patients with CHD can be an obstacle to the normal course of the perioperative period, necessitating the search for methods to stabilize them.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.237
Teacher spread0.218 · 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 source (direct Gemma or distilled Codex), 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
Published2023
Admission routes1
Has abstractyes

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