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354                       Iyngkaran et al. | Journal of Clinical and Translational Research 2023; 9(5): 347-356
        disease. As there can be numerous confounders, this is an example   observations have shaped new directions for therapy. As a specific
        of why this approach is one-dimensional. In CHF, there are aspects   theoretical example, we have contextualised the argument to smooth
        of chronic disease care that cannot be mapped by traditional risk   muscle and endothelium function. An area that is novel in clinical
        scoring. For example, any patient can be at risk of decompensation   medicine is identifying the sentinel common denominator of the
        and resilience is hard to measure. Hence, it does pay to invest in   effect to a treatment. This is vital for chronic diseases where there
        high-value pathophysiological targets and explore their function   are numerous confounders. While innovation remains critical, we
        in multiple dimensions. Entropy appears as a common point that   acknowledge that entropy in a clinical sense is theoretical, and our
        shapes the direction of any individual to stress. The key question   focus is on exploring what is known and reshaping new thinking
        is which factor/s can be identified as the rate-limiting one, hence   based on evidence. Bench-to-bedside research today can address
        where is the starting point to channel research resources?  common questions and find translatable answers. The margin to
          Specifically on endothelium and skeletal muscle, endothelial   maneuver, however, with clinical and basic sciences is decreasing in
        dysfunction  alters both  cardiac  and skeletal  muscle  function.   some areas. Cost-effectiveness remains an important consideration
        If the factor is oxidative  stress which can be involved in the   in health services. Specifically, in this paper, we ask the question
        pathophysiology  of HF in the heart  as well as in the skeletal   if we can identify higher risk patients, those who may not achieve
        muscle;  however, the downstream effects at each  organ could   the full benefits of GDMT, and are going in the direction that is
        differ. The treatment effects could also differ. The direction  in   away from good health? In these cases, investment in conventional
        which patients’ well-being moves could vary based on a broader   guideline care will be costly with little progress. Alternatively, a
        picture. Thus, where entropy is relevant, is that these processes   common  denominator  can  be  identified  to  reverse  this.  Is  there
        might be predetermined,  regardless of conventional  risk score   a common denominator here for treatment direction and how do
        predictions. An ability to predict this will allow us to target the   we address this? Improving health and reducing readmissions is
        patients  and deliver the intensive support that may be needed.   a critical consideration as it relates to cost-effectiveness of health
        A  better  understanding  of these mechanisms  may enable  the   policies.  Simple Summary:  Trial evidence extrapolates well to
        development of novel and effective therapeutic strategies against   large populations, it may be too complex to broaden applicability
        HF, by targeting the factor least likely  to respond to GDMT.   further. New concepts that encourage and vet novel observations
        More  specifically,  with  CHF,  there  are  pleiotropic  actions  of   on clinical outcomes when delivering GDMTs are vital. Entropy is
        conventional cardiovascular drugs that could play a greater role.  a subjective common denominator to start a dialogue on the more

        4.5. Observations and the personalisation of GDMT       objective pathophysiology determinants in chronic and complex
                                                                care.
          An ideal that is yet to take greater shape in medical practice
        is personalised health parameters, it is hoped that it will achieve   Acknowledgments
        optimal  individualisation  of care.  The terminology  used varies   None.
        from personalised [46], customised [47], precision  [48,49] care

        for screening, disease management, and risk prognostication. The   Funding
        tools at hand help phenotypic and genetic profiling and presently   None.
        computer-assisted analysis of data are also possible. Leopold and
        Loscalzo [49] that exactness can be counterproductive, thus, as   Conflicts of Interest
        opposed to only identifying the positive, should we identify what
        does not work, we must invest in identifying causation. GDMT is a   All authors have received government and non-governmental
        checklist, and this can lead to polypharmacy without the intended   funding. The authors declare no conflicts of interest.
        benefits in some cases, or lack of benefits when treatments are    References
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          In this review, we discuss CHF, a chronic and complex       Management of Heart Failure: A Report of the American
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                                          DOI: http://dx.doi.org/10.18053/jctres.09.202305.23-00010
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