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Contractor, Aashish

https://orcid.org/0000-0002-8589-1134

Mayo Clinic

Sir H.N. Reliance Foundation Hospital and Research Centre

Citations 2

Phase-1 Cardiac Rehabilitation in Acute Heart Failure: Development of an Early Mobilization Algorithm Through Delphi Consensus
Satyamurthy, Akhila , Padmakumar, Ramachandran, Harikrishnan, Sivadasanpillai , Contractor, Aashish , Ozemek, Cemal , Bryant, Eryn, Ghisi, Gabriela Lima de Melo, Myers, Jonathan A. , Madan, Kushal , Supervía, Marta , Morris, Norman , Brubaker, Peter H. , Roos, Ronel , Hiser, Stephanie , Shanbhag, Vishal , Babu, Abraham Samuel , Babu, Abraham Samuel , Ramachandran, Padmakumar , Prabhu, Mukund Aravind , Jeemon, Panniyammakal , Ghisi, Gabriela Lima de Melo, Paramasivam, Ganesh , Myers, Jonathan, Hanekom, Susan D. , Yeo, Tee Joo

Journal of Cardiopulmonary Rehabilitation and Prevention | November 26, 2025 | Volume: 46 | Issue: 1 | Pages: 58-66

10.1097/hcr.0000000000000978 Get It

Purpose: Literature on early mobilization and exercise training in patients recovering from acute heart failure (AHF) is promising. However, there lacks uniformity in the time of initiation, exercise prescription, safety criteria, and termination criteria. Thus, the aim was to develop a mobilization algorithm for patients recovering from AHF. Methods: A modified web-based Delphi process was undertaken involving 15 panelists from across the globe. In Round 1, new variables, modifications to suggested variables, and agreement-disagreement within the panelists were obtained. In Round 2, agreement on a 5-point Likert scale was obtained. In Round 3, the algorithm was compiled, and excluded statements were discussed via web-based calls. The new variables were grouped into themes via an inductive process. The level of agreement and rating for each statement were analyzed using descriptive statistics, including frequency and percentages. We used Kappa statistics to examine the level of agreement between the panelists for each criterion. The consensus criterion was defined a priori as statements with a mean rating of ≥4 on the 5-point Likert scale by ≥70% of the panelists and Kendall’s coefficient of concordance ( W ) of ≥0.3 between panelists. Results: From Round 1, 54 new variables were obtained. More than two-thirds (118/170, 69%) of statements reached consensus and reported a fair level of agreement between panelists ( W ≥ 0.3). The final algorithm with all its criteria received a 100% (13/13) consensus. Conclusion: Physician-referral criteria, physiotherapy assessment process, exercise prescription, safety criteria, and termination criteria were formulated for early mobilization and exercise training for patients recovering from AHF.
Cardiac rehabilitation delivery model for low-resource settings
Grace, Sherry L. , Turk-Adawi, Karam , Contractor, Aashish , Atrey, Alison , Ghisi, Gabriela L. Melo, Oldridge, Neil , Sarkar, Bidyut K. , Yeo, Tee Joo , Mendis, Shanthi , Oh, Paul , Hu, Dayi , Sarrafzadegan, Nizal , Ghisi, Gabriela Lima de Melo , Turk-Adawi, Karam , Campbell, Norm R.C. , Derman, Wayne Elton , López-Jiménez, Francisco , Lima de Melo Ghisi, Gabriela , Grace, Sherry L

Heart | May 15, 2016 | Volume: 102 | Issue: 18 | Pages: 1449-1455

10.1136/heartjnl-2015-309209 Get It

Objective Cardiovascular disease is a global epidemic, which is largely preventable. Cardiac rehabilitation (CR) is demonstrated to be cost-effective and efficacious in high-income countries. CR could represent an important approach to mitigate the epidemic of cardiovascular disease in lower-resource settings. The purpose of this consensus statement was to review low-cost approaches to delivering the core components of CR, to propose a testable model of CR which could feasibly be delivered in middle-income countries. Methods A literature review regarding delivery of each core CR component, namely: (1) lifestyle risk factor management (ie, physical activity, diet, tobacco and mental health), (2) medical risk factor management (eg, lipid control, blood pressure control), (3) education for self-management and (4) return to work, in low-resource settings was undertaken. Recommendations were developed based on identified articles, using a modified GRADE approach where evidence in a low-resource setting was available, or consensus where evidence was not. Results Available data on cost of CR delivery in low-resource settings suggests it is not feasible to deliver CR in low-resource settings as is delivered in high-resource ones. Strategies which can be implemented to deliver all of the core CR components in low-resource settings were summarised in practice recommendations, and approaches to patient assessment proffered. It is suggested that CR be adapted by delivery by non-physician healthcare workers, in non-clinical settings. Conclusions Advocacy to achieve political commitment for broad delivery of adapted CR services in low-resource settings is needed.