Evidence map›Paper›PMID 39214537›Full record

ArticleOpen heart2024

Hypercapnia during transcatheter aortic valve replacement under monitored anaesthesia care: a retrospective cohort study.

Tzonghuei Chen, Shyamal Asher, Patricia Apruzzese, Harry Owusu-Dapaah, Gustavo Gonzalez, Andrew Maslow

Abstract read
In one paragraph

Article in Open heart, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Tzonghuei ChenDepartment of Anesthesiology, Warren Alpert Medical School, Brown University, Providence, Rhode Island, USA herbchen@gmail.com.ORCID 0000-0003-3508-1528
Shyamal AsherDepartment of Anesthesiology, Warren Alpert Medical School, Brown University, Providence, Rhode Island, USA.
Patricia ApruzzeseDepartment of Anesthesiology, Warren Alpert Medical School, Brown University, Providence, Rhode Island, USA.
Harry Owusu-DapaahDepartment of Anesthesiology, Warren Alpert Medical School, Brown University, Providence, Rhode Island, USA.
Gustavo GonzalezDepartment of Anesthesiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
Andrew MaslowDepartment of Anesthesiology, Warren Alpert Medical School, Brown University, Providence, Rhode Island, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute intraoperative hypercapnia and respiratory acidosis, which can occur during monitored anaesthesia care (MAC), pose significant cardiopulmonary risks for patients with aortic stenosis undergoing transcatheter aortic valve replacement (TAVR). The goal of the present study is to assess the incidence, risk factors and impact of intraoperative hypercapnia during MAC for patients undergoing transfemoral TAVR.

methodsData was collected retrospectively from the electronic medical record of 201 consecutive patients with available intraoperative arterial blood gas (ABG) data who underwent percutaneous transfemoral TAVR with MAC using propofol and dexmedetomidine. ABGs (pH, arterial partial pressure of carbon dioxide (PaCO

resultsPaCO

conclusionsTransient significant hypercapnia commonly occurs during transfemoral TAVR with deep sedation using propofol and dexmedetomidine. Although the incidence of postoperative outcomes does not appear to be affected by hypercapnia, the need for vasopressors and inotropes is increased. If deep sedation is required for TAVR, hypercapnia and the need for haemodynamic and ventilatory support should be anticipated.

Indexed as

Aortic Valve StenosisHypercapniaTranscatheter Aortic Valve ReplacementAgedAged, 80 and overAnesthetics, IntravenousAortic ValveDexmedetomidineFemaleHumansIncidenceMaleMonitoring, IntraoperativePropofolRetrospective StudiesRisk FactorsAnesthetics, IntravenousDexmedetomidinePropofolAortic Valve StenosisHypertension, PulmonaryTranscatheter Aortic Valve Replacement

Identifiers

PMID39214537
PMCPMC11367353

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.