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1.
Ugeskr Laeger ; 185(3)2023 01 16.
Article in Danish | MEDLINE | ID: mdl-36760145

ABSTRACT

Aortic-to-right ventricle fistula is a rare complication after transcatheter aortic valve implantation (TAVI). In this case report, an 87-year-old male was admitted with signs of congestion six weeks after TAVI. Two days later, he developed severe epigastric and back pain, elevated D-dimer, lactic acidosis and renal failure. Transthoracic echocardiography revealed a progressing aortic-to-right ventricle fistula which in retrospect had been present since the TAVI-procedure. The patient died despite supportive treatment.


Subject(s)
Aortic Diseases , Aortic Valve Stenosis , Fistula , Transcatheter Aortic Valve Replacement , Male , Humans , Aged, 80 and over , Transcatheter Aortic Valve Replacement/adverse effects , Transcatheter Aortic Valve Replacement/methods , Aortic Valve/surgery , Aortic Valve Stenosis/diagnostic imaging , Aortic Valve Stenosis/surgery , Heart Ventricles , Treatment Outcome , Aorta
2.
Heart Fail Rev ; 28(2): 419-430, 2023 03.
Article in English | MEDLINE | ID: mdl-36344908

ABSTRACT

Screening for left ventricular systolic dysfunction (LVSD), defined as reduced left ventricular ejection fraction (LVEF), deserves renewed interest as the medical treatment for the prevention and progression of heart failure improves. We aimed to review the updated literature to outline the potential and caveats of using artificial intelligence-enabled electrocardiography (AIeECG) as an opportunistic screening tool for LVSD.We searched PubMed and Cochrane for variations of the terms "ECG," "Heart Failure," "systolic dysfunction," and "Artificial Intelligence" from January 2010 to April 2022 and selected studies that reported the diagnostic accuracy and confounders of using AIeECG to detect LVSD.Out of 40 articles, we identified 15 relevant studies; eleven retrospective cohorts, three prospective cohorts, and one case series. Although various LVEF thresholds were used, AIeECG detected LVSD with a median AUC of 0.90 (IQR from 0.85 to 0.95), a sensitivity of 83.3% (IQR from 73 to 86.9%) and a specificity of 87% (IQR from 84.5 to 90.9%). AIeECG algorithms succeeded across a wide range of sex, age, and comorbidity and seemed especially useful in non-cardiology settings and when combined with natriuretic peptide testing. Furthermore, a false-positive AIeECG indicated a future development of LVSD. No studies investigated the effect on treatment or patient outcomes.This systematic review corroborates the arrival of a new generic biomarker, AIeECG, to improve the detection of LVSD. AIeECG, in addition to natriuretic peptides and echocardiograms, will improve screening for LVSD, but prospective randomized implementation trials with added therapy are needed to show cost-effectiveness and clinical significance.


Subject(s)
Heart Failure , Ventricular Dysfunction, Left , Humans , Ventricular Function, Left , Stroke Volume , Prospective Studies , Retrospective Studies , Electrocardiography , Heart Failure/diagnosis , Intelligence
3.
Clin Neurophysiol ; 132(6): 1209-1220, 2021 06.
Article in English | MEDLINE | ID: mdl-33931295

ABSTRACT

OBJECTIVE: Understanding the acute effects of responsive stimulation (AERS) based on intracranial EEG (iEEG) recordings in ambulatory patients with drug-resistant partial epilepsy, and correlating these with changes in clinical seizure frequency, may help clinicians more efficiently optimize responsive stimulation settings. METHODS: In patients implanted with the NeuroPace® RNS® System, acute changes in iEEG spectral power following active and sham stimulation periods were quantified and compared within individual iEEG channels. Additionally, acute stimulation-induced acute iEEG changes were compared within iEEG channels before and after patients experienced substantial reductions in clinical seizure frequency. RESULTS: Responsive stimulation resulted in a 20.7% relative decrease in spectral power in the 2-4 second window following active stimulation, compared to sham stimulation. On several detection channels, the AERS features changed when clinical outcomes improved but were relatively stable otherwise. AERS change direction associated with clinical improvement was generally consistent within detection channels. CONCLUSIONS: In this retrospective analysis, patients with drug-resistant partial epilepsy treated with direct brain-responsive neurostimulation showed an acute stimulation related reduction in iEEG spectral power that was associated with reductions in clinical seizure frequency. SIGNIFICANCE: Identifying favorable stimulation related changes in iEEG activity could help physicians to more rapidly optimize stimulation settings for each patient.


Subject(s)
Brain/physiopathology , Deep Brain Stimulation , Drug Resistant Epilepsy/physiopathology , Epilepsies, Partial/physiopathology , Electroencephalography , Humans , Retrospective Studies
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