A. Koshy
Monash University
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Featured researches published by A. Koshy.
Journal of Electrocardiology | 2018
K. Rajakariar; A. Koshy; J. Sajeev; Sachin Nair; L. Roberts; A. Teh
INTRODUCTIONnThe AliveCor Kardia Mobile (AKM) is a handheld, smartphone based cardiac rhythm monitor that records a lead-I electrocardiogram (ECG). Despite being efficacious for detection of atrial fibrillation (AF), it is unclear whether atrial flutter (AFL) may be misdiagnosed as sinus rhythm due to regular R-R intervals. We hypothesised that generating lead-II tracings through repositioning of the AKM may improve visualisation of flutter waves and clinician diagnosis of AFL compared to traditional lead-I tracings.nnnMATERIALS AND METHODSnA prospective, multi-centre, validation study was conducted comparing standard lead-I AKM positioning with lead-II in AFL. A mixed cohort of lead I tracings from patients in AF and sinus rhythm were also included. Two independent electrophysiologists (EP) analysed all ECGs blinded to the automated device diagnosis.nnnRESULTSnFifty patients were recruited, 11 in atrial flutter, 14 in atrial fibrillation, and 25 in sinus rhythm. Lead-I AFL sensitivity was 27.3% for both EPs which individually improved to 72.7% and 54.6% in lead-II. AKM appropriately diagnosed lead-I AFL as unclassified in 18.2% of cases, compared to 54.5% in lead-II. Overall clinician agreement (AF, SR and AFL) was modest utilising AFL lead-I (EP1: κu202f=u202f0.71, EP2: κu202f=u202f0.73, pu202f<u202f0.001), which improved with lead-II tracings (EP1: κu202f=u202f0.87, EP2: κu202f=u202f0.83, both pu202f<u202f0.001).nnnCONCLUSIONnRepositioning of the AKM device improves clinician diagnosis of atrial flutter. A lead-II tracing may be considered in high-risk patients to improve detection of atrial flutter.
International Journal of Cardiology | 2018
A. Koshy; J. Sajeev; Nitesh Nerlekar; Adam J. Brown; K. Rajakariar; Mark Zureik; M. Wong; L. Roberts; Maryann Street; J. Cooke; A. Teh
BACKGROUNDnDespite studies demonstrating the accuracy of smart watches (SW) and wearable heart rate (HR) monitors in sinus rhythm, no data exists regarding their utility in arrhythmias.nnnMETHODSn102 hospitalized patients were evaluated at rest using continuous electrocardiogram (ECG) monitoring with concomitant SW-HR (FitBit, FB, Apple Watch, AW) for 30u202fmin.nnnRESULTSnAcross all devices, 38,616 HR values were recorded. Sinus rhythm cohort demonstrated strong agreement for both devices with a low bias (FB & AW Biasu202f=u202f1 beat). In atrial arrhythmias, AW demonstrated a stronger correlation than FB (AW rsu202f=u202f0.83, FB rsu202f=u202f0.56, both pu202f<u202f0.01) with a lower bias (Bias AWu202f=u202f-5 beats, FBu202f=u202f-18 beats). Atrial flutter demonstrated strongest agreement in both devices with a mean bias <1 beat. However, in AF, there was significant HR underestimation (Bias FBu202f=u202f-28 beats, AW-8 beats) with wide limits of agreement. Despite HR underestimation in AF, when SW recorded HRu202f≥u202f100 in arrhythmias, 98% of values were within ±10-beats of ECG-HR.nnnCONCLUSIONSnSW demonstrate strong agreement for HR estimation in sinus rhythm and atrial flutter but underestimates HR in AF. Tachycardic episodes recorded at rest on a SW may be suggestive of an underlying atrial tachyarrhythmia and warrant further clinical evaluation.nnnCLINICAL TRIAL REGISTRATIONnAustralian New Zealand Clinical Trials Registry (www.anzctr.org.au) ACTRN: 12616001374459.
Internal Medicine Journal | 2018
A. Koshy; J. Sajeev; Nitesh Nerlekar; Adam J. Brown; K. Rajakariar; Mark Zureik; M. Wong; L. Roberts; Maryann Street; J. Cooke; A. Teh
The accuracy of photoplethysmography (PPG) for heart rate (HR) estimation in cardiac arrhythmia is unknown. PPG‐HR was evaluated in 112 hospitalised inpatients (cardiac arrhythmias (n = 60), sinus rhythm (n = 52)) using a continuous electrocardiogram monitoring as a reference standard. Strong agreement was observed in sinus rhythm HR < 100 and atrial flutter (bias 1 beat), modest agreement in sinus tachycardia (bias 24 beats) and complete heart block (bias −6 beats) and weak agreement with significant HR underestimation was seen in atrial fibrillation (bias 23 beats). Routine utilisation of PPG for HR estimation may delay early recognition of clinical deterioration in certain arrhythmias and sinus tachycardia.
Circulation | 2018
A. Koshy; J. Sajeev; A. Teh
We read with interest the article by Halcox et al1 on the use of a smartphone-based ECG for improving atrial fibrillation (AF) detection in an intermediate-risk population. It was reassuring to see a high degree of patient compliance with transmission of ECGs obtained with a WiFi-enabled iPod (iECGs) because this is critical for successful incorporation of consumer-generated biometrics into clinical practice.nnThe low positive predictive value of the AliveCor for the detection of AF was an interesting but unexpected observation and warrants further clarification. Among the 60u2009440 iECG tracings, ≈1% (600 iECGs) were categorized as AF by the automated AliveCor …
American Heart Journal | 2018
A. Koshy; J. Sajeev; Kazuaki Negishi; M. Wong; Christopher B Pham; Sumudu P Cooray; Yeganeh Khavar; L. Roberts; J. Cooke; A. Teh
&NA; Despite the appeal of smartphone‐based electrocardiograms (ECGs) for arrhythmia screening, a paucity of data exists on the accuracy of primary care physicians and cardiologists interpretation of tracings compared with the devices automated diagnosis. Using 408 ECGs in 51 patients, we demonstrate a variable accuracy in clinician interpretation of smartphone‐based ECGs, with only cardiologists demonstrating satisfactory agreement when referenced against a 12‐lead ECG. Combining the device automated diagnostic algorithm with cardiologist interpretation of only uninterpretable traces yielded excellent results and provides an efficient, cost‐effective workflow for the utilization of a smartphone‐based ECG in clinical practice.
Journal of the American College of Cardiology | 2017
A. Koshy; J. Sajeev; Mark Zureik; Maryann Street; M. Wong; L. Roberts; A. Teh
Background: Smart watches that estimate heart rate (HR) are increasingly popular and show strong correlation with HR estimated electrocardiography (ECG) among healthy controls. Although not marketed for medical use, presentations to the emergency room due to device-detected heart rate abnormalities
Case Reports | 2017
J. Sajeev; A. Koshy; K. Rajakariar; Gary Gordon
Takotsubo cardiomyopathy (TTC) is associated with acute, reversible left ventricular (LV) dysfunction, while transient global amnesia (TGA) is a reversible disorder of the brain characterised by anterograde amnesia. We report an unusual case of TTC occurring concurrently in a patient with TGA, and propose that catecholamine surge induced cerebral venous congestion and cardiotoxicity is the shared aetiology that leads to the concurrent manifestation of these conditions. TTC and TGA are reversible disorders that can occur concurrently in a subset of patients due to a unifying aetiology, catecholamine excess, leading to pathophysiological changes within the brain and the myocardium.
European Journal of Echocardiography | 2016
A. Koshy; Victoria E. Cheng; J. Sajeev; P. Venkataraman; Konstantinos Profitis
A 38-year-old obese man presented with dyspnoea and signs of congestive heart failure. Transthoracic echocardiography ( Panel A ) showed severe global systolic dysfunction with a 6.7 × 2.8 cm mobile mass anchored to the apex of the left ventricle (LV) presumed to be a thrombus. Further investigations to elicit a cause of cardiomyopathy revealed markedly raised urinary metanephrines. An abdominal computed tomography (CT) scan revealed a 7.8 cm …
Heart Lung and Circulation | 2018
J. Sajeev; T. Abrahams; L. Roberts; A. Koshy; R. Denver; J. Cooke; L. Marceddo; A. Teh
Heart Lung and Circulation | 2018
J. Sajeev; M. Bhatia; Helen M. Dewey; A. Koshy; L. Roberts; J. Cooke; R. Denver; A. Teh