Evidence map›Paper›PMID 39144095›Full record

ArticleThe British journal of cardiology2023

Mechanical life support algorithm for the emergency management of patients with left-sided Impella.

Waqas Akhtar, Kristine Kiff, Agnieszka Wypych-Zych, Sofia Pinto, Audrey K H Cheng, Winston Banya, Alexander Rosenberg, Christopher T Bowles, John Dunning, Vasileios Panoulas

Abstract read
In one paragraph

Article in The British journal of cardiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
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

10 authors.

Waqas AkhtarCardiologist and Intensivist.
Kristine KiffVAD Specialist Nurse.
Agnieszka Wypych-ZychVAD Specialist Nurse.
Sofia PintoLead ECLS Nurse.
Audrey K H ChengPostgraduate Bioengineer Department of Bioengineering, Imperial College London, London, SW7 2BX.
Winston BanyaMedical Statistician.
Alexander RosenbergConsultant Intensivist.
Christopher T BowlesMechanical Circulatory Support Specialist.
John DunningDirector of Transplantation Harefield Hospital, Royal Brompton & Harefield Hospitals, Guy's and St. Thomas' NHS Trust, Hill End Road, Harefield, Uxbridge, UB9 6JH.
Vasileios PanoulasConsultant Interventional Cardiologist Cardiovascular Sciences, National Heart and Lung Institute, Imperial College London, London, SW7 2BX.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We sought to remedy the limited guidance that is available to support the resuscitation of patients with the Impella Cardiac Power (CP) and 5.0 devices during episodes of cardiac arrest or life-threatening events that can result in haemodynamic decompensation. In a specialist tertiary referral centre we developed, by iteration, a novel resuscitation algorithm for Impella emergencies, which we validated through simulation and assessment by our multi- disciplinary team. A mechanical life support course was established to provide theoretical and practical education, combined with simulation to consolidate knowledge and confidence in algorithm use. We assessed these measures using confidence scoring, a key performance indicator (the time taken to resolve a suction event) and a multiple-choice question (MCQ) examination. Following this intervention, median confidence score increased from 2 (interquartile range [IQR] 2 to 3) to 4 (IQR 4 to 4) out of a maximum of 5 (n=53, p<0.0001). Theoretical knowledge of the Impella, as assessed by median MCQ score, increased from 12 (IQR 10 to 13) to 13 (12 to 14) out of a maximum of 17 (p<0.0001). The use of a bespoke Impella resuscitation algorithm reduced the mean time taken to identify and resolve a suction event by 53 seconds (95% confidence interval 36 to 99, p=0.0003). In conclusion, we present an evidence-based resuscitation algorithm that provides both technical and medical guidance to clinicians responding to life-threatening events in Impella recipients.

Indexed as

cardiac arrestcardiogenic shockImpellamechanical circulatory supportresuscitation

Identifiers

PMID39144095
PMCPMC11321465

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.