Publications by authors named "Manish Motwani"

Obesity is a global health concern, with weight regain (WR) common after bariatric surgery. Clear guidelines on post-surgical medication use are essential. This expert consensus evaluates the role of obesity management medications (OMMs) in optimizing weight loss (WL) and preventing WR in individuals undergoing metabolic and bariatric surgery (MBS).

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Coronary artery disease (CAD) is a major cause of ill health and death worldwide. Coronary computed tomographic angiography (CCTA) is the first-line investigation to detect CAD in symptomatic patients. This diagnostic approach risks greater second-line heart tests and treatments at a cost to the patient and health system.

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Background: Coronary microvascular dysfunction is prevalent in women with signs and symptoms of ischemia but no obstructive coronary artery disease (CAD) and is associated with an adverse prognosis. Elevated pericardial fat volume predicts adverse cardiac events, but mechanistic pathways of the association are not well understood.

Methods: 118 women enrolled in the NHLBI-sponsored Women's Ischemia Syndrome Evaluation-Coronary Vascular Dysfunction study with suspected coronary microvascular dysfunction but no obstructive CAD underwent adenosine stress 1.

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Article Synopsis
  • A new explainable deep learning model has been developed to predict specific cardiovascular risks (like death, acute coronary syndrome, and need for revascularization) based on myocardial perfusion imaging (MPI) combined with clinical data.
  • The model was tested with a large group of patients and showed better performance in predicting short-term risks in the first six months post-scan, outperforming traditional methods.
  • It provides individualized risk assessments and visual explanations for patients, potentially helping to focus on modifiable risk factors and improve shared decision-making in healthcare.
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Background: The wide-ranging benefits of frequent and moderate exercise are well recorded in the literature. Chronic deleterious remodelling in response to exercise is less well described. We describe an amateur endurance cyclist who, in addition to developing a heart failure syndrome and electrocardiographic evidence of arrhythmia, also developed severe functional tricuspid regurgitation.

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Background: Distinct sex-related differences exist in coronary artery plaque burden and distribution. We aimed to explore sex differences in quantitative plaque burden by coronary CT angiography (CCTA) in relation to ischemia by invasive fractional flow reserve (FFR).

Methods: This post-hoc analysis of the PACIFIC trial included 581 vessels in 203 patients (mean age 58.

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Background: Positron emission tomography (PET) is the clinical gold standard for quantifying myocardial blood flow (MBF). Pericoronary adipose tissue (PCAT) attenuation may detect vascular inflammation indirectly. We examined the relationship between MBF by PET and plaque burden and PCAT on coronary CT angiography (CCTA).

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Background: A pathophysiological interplay exists between plaque morphology and coronary physiology. Machine learning (ML) is increasingly being applied to coronary computed tomography angiography (CCTA) for cardiovascular risk stratification. We sought to assess the performance of a ML score integrating CCTA-based quantitative plaque features for predicting vessel-specific ischemia by invasive fractional flow reserve (FFR) and impaired myocardial blood flow (MBF) by positron emission tomography (PET).

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Fabry disease (FD) is a rare, progressive, X-linked inherited disorder of glycosphingolipid metabolism. It is a monogenic disease due to α-galactosidase A (α-GAL) enzyme deficiency, leading to the accumulation of globotriaosylceramide (GL3) within lysosomes beginning in utero. Multiple systems are involved, most notably the vascular, renal, cardiac, and nervous systems.

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Background Unplanned hospitalizations are common in patients with cardiovascular disease. The "Triage Heart Failure Risk Status" (Triage-HFRS) algorithm in patients with cardiac implantable electronic devices uses data from up to 9 device-derived physiological parameters to stratify patients as low/medium/high risk of 30-day heart failure (HF) hospitalization, but its use to predict all-cause hospitalization has not been explored. We examined the association between Triage-HFRS and risk of all-cause, cardiovascular, or HF hospitalization.

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Driven by advances in computing power, the past decade has seen rapid developments in artificial intelligence (AI) which now offers potential enhancements to every aspect of nuclear cardiology workflow including acquisition, reconstruction, segmentation, direct image analysis, and interpretation; as well as facilitating clinical and imaging big-data integration for superior personalized risk stratification. To understand the relevance and potential of AI in their field, this review provides a primer for nuclear cardiologists in 2022. The aim is to explain terminology and provide a summary of key current implementations, challenges, and future aspirations of AI-based enhancements to nuclear cardiology.

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Transesophageal echocardiography guides a range of structural heart disease interventions, especially in older adult and frail patients who are deemed not suitable to undergo surgical repair. Although rare, transesophageal echocardiography can be associated with esophageal trauma, including perforation. Treating physicians should be cognizant of such a complication.

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Aims: To determine if remotely monitored physiological data from cardiac implantable electronic devices (CIEDs) can be used to identify patients at high risk of mortality.

Methods And Results: This study evaluated whether a risk score based on CIED physiological data (Triage-Heart Failure Risk Status, 'Triage-HFRS', previously validated to predict heart failure (HF) events) can identify patients at high risk of death. Four hundred and thirty-nine adults with CIEDs were prospectively enrolled.

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Background: Although safe practice guidelines were issued by the Obesity and Metabolic Surgery Society of India (OSSI) in the end of May 2020, surgeons have been in a dilemma about risk of subjecting patients to hospitalisation and bariatric surgery. This survey was conducted with the objective to evaluate the risk of coronavirus disease-19 (COVID-19) infection in peri- and post-operative period after bariatric and metabolic surgery (BMS).

Methods: A survey with OSSI members was conducted from 20 July 2020 to 31 August 2020 in accordance with EQUATOR guidelines.

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Aims: This study aims to establish the feasibility, safety, and efficacy of outpatient intravenous (IV) diuretic treatment for the management of decompensated heart failure (HF) for patients enrolled in the HeartFailure@Home service.

Methods And Results: We retrospectively analysed the clinical episodes of decompensated HF for patients enrolled in the HeartFailure@Home service, managed by ambulatory IV diuretic treatment either at home or on a day-case unit. A control group consisting of HF patients admitted to hospital for IV diuretics (standard-of-care) was also evaluated.

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Background: There are data on the safety of cancer surgery and the efficacy of preventive strategies on the prevention of postoperative symptomatic COVID-19 in these patients. But there is little such data for any elective surgery. The main objectives of this study were to examine the safety of bariatric surgery (BS) during the coronavirus disease 2019 (COVID-19) pandemic and to determine the efficacy of perioperative COVID-19 protective strategies on postoperative symptomatic COVID-19 rates.

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