Literature DB >> 36004072

Risk scores: Tools with limitations that do not replace clinical judgment but only complement it.

Victorio C Carosella1.   

Abstract

Entities:  

Year:  2021        PMID: 36004072      PMCID: PMC9390527          DOI: 10.1016/j.xjon.2021.09.024

Source DB:  PubMed          Journal:  JTCVS Open        ISSN: 2666-2736


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To the Editor: The author reported no conflicts of interest. The Journal policy requires editors and reviewers to disclose conflicts of interest and to decline handling or reviewing manuscripts for which they may have a conflict of interest. The editors and reviewers of this article have no conflicts of interest. I have read with attention the article by Cho and colleagues in which they evaluated the association among the Controlling Nutritional Status score, prognostic nutritional index, and Geriatric Nutritional Risk Index with 1-year mortality in 1927 patients undergoing valvular heart surgery. The authors clearly stated how, by adding a preoperative nutritional assessment to the European System for Cardiac Operative Risk Evaluation II, it improves its predictive ability, especially with the Controlling Nutritional Status score. The authors must be congratulated for such an interesting publication that discusses the importance of assessing frailty parameters such as nutritional status of the patient in preoperative risk stratification. Risk scores are tools that should be considered as a complement for clinical judgment in the decision-making process for a given patient. In fact, since risk scores are based on mathematical models, they may exhibit many limitations. A mathematical model attempting to define a biological and binary phenomenon such as “dead or alive” is a population-based statistical analysis but not an individual one. This may result in a loss of predictive power. One of the most important limitations of risk scores is the fact they have been constructed on the basis of regional data set about specific surgical procedures. Furthermore, a loss in performance and efficiency can also be observed when they are not properly upgraded. The presence of frailty in the patient increases their risk, and this must be identified and quantified and should be entered into the equation that allows an estimated risk to be calculated. Preoperative nutritional assessment is an important metric in assessing postoperative risk. This assessment might be further improved by assessing mobility, cognitive status, and activities of daily living, the 3 other pillars of frailty, as previously stated out by several authors. In addition to nutritional parameters, the following should be assessed: (1) mobility, such as the Afilalo 5-meter walk test or the Altisen test; (2) cognitive status by means of cognitive tests, such as the Folstein Mini-Mental test or the Mini-Cog test; and (3) assessment of the patient's daily activity by different tests such as the Timed up and Go Test or by Basic and Instrumental Activities or Daily Living. At the same time, joining the 4 aforementioned parameters, different frailty scales, such as the Edmonton Frailty Scale, Fried's scale, Rockwood's Frailty Index, Katz Index, or the Essential Frailty Toolset, should be applied. By associating these scales to the to the classic risk scores in cardiac surgery, the risk/benefit equation can be dramatically improved. Thus, the more accurate the risk assessment of death, the more helpful it would be to both the patient's and the heart team's management decisions.
  5 in total

Review 1.  Cardiac surgery risk modeling for mortality: a review of current practice and suggestions for improvement.

Authors:  Rumana Z Omar; Gareth Ambler; Patrick Royston; Joseph Eliahoo; Kenneth M Taylor
Journal:  Ann Thorac Surg       Date:  2004-06       Impact factor: 4.330

2.  Gait Speed and Operative Mortality in Older Adults Following Cardiac Surgery.

Authors:  Jonathan Afilalo; Sunghee Kim; Sean O'Brien; J Matthew Brennan; Fred H Edwards; Michael J Mack; James B McClurken; Joseph C Cleveland; Peter K Smith; David M Shahian; Karen P Alexander
Journal:  JAMA Cardiol       Date:  2016-06-01       Impact factor: 14.676

3.  Commentary: Appropriate frailty measures should be incorporated into the development of accurate risk calculation models for evaluation of transcatheter aortic valve replacement candidates.

Authors:  Ko Bando
Journal:  J Thorac Cardiovasc Surg       Date:  2020-05-05       Impact factor: 5.209

4.  Frailty in Older Adults Undergoing Aortic Valve Replacement: The FRAILTY-AVR Study.

Authors:  Jonathan Afilalo; Sandra Lauck; Dae H Kim; Thierry Lefèvre; Nicolo Piazza; Kevin Lachapelle; Giuseppe Martucci; Andre Lamy; Marino Labinaz; Mark D Peterson; Rakesh C Arora; Nicolas Noiseux; Andrew Rassi; Igor F Palacios; Philippe Généreux; Brian R Lindman; Anita W Asgar; Caroline A Kim; Amanda Trnkus; José A Morais; Yves Langlois; Lawrence G Rudski; Jean-Francois Morin; Jeffrey J Popma; John G Webb; Louis P Perrault
Journal:  J Am Coll Cardiol       Date:  2017-07-07       Impact factor: 24.094

5.  Impact of preoperative nutritional scores on 1-year postoperative mortality in patients undergoing valvular heart surgery.

Authors:  Jin Sun Cho; Jae-Kwang Shim; Kwang-Sub Kim; Sugeun Lee; Young-Lan Kwak
Journal:  J Thorac Cardiovasc Surg       Date:  2021-01-05       Impact factor: 6.439

  5 in total

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