scholarly journals Healthcare Data for Achieving a More Personalized Treatment of Chronic Kidney Disease

Biomedicines ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 488
Author(s):  
Francisco Herrera-Gómez ◽  
F. Javier Álvarez

The current concept of healthcare incites a more personalized treatment of diseases. To this aim, biomarkers are needed to improve decision-making facing chronic kidney disease (CKD) patients. Prognostic markers provided by real-world (observational) evidence are proposed in this Special Issue entitled “Biomarkers in Chronic Kidney Disease”, with the intention to identify high-risk patients. These markers do not target measurable parameters in patients but clinical endpoints that may be in turn transformed to benefits under the effect of future interventions.

Nephron ◽  
2021 ◽  
pp. 1-10
Author(s):  
Teddy Novais ◽  
Elodie Pongan ◽  
Frederic Gervais ◽  
Marie-Hélène Coste ◽  
Emmanuel Morelon ◽  
...  

<b><i>Background:</i></b> In older patients with advanced chronic kidney disease (CKD), the decision of kidney transplantation (KT) is a challenge for nephrologists. The use of comprehensive geriatric assessment (CGA) is increasingly gaining interest into the process of decision-making about treatment modality choice for CKD. The aim of this study was to assess the prevalence of geriatric impairment and frailty in older dialysis and nondialysis patients with advanced CKD using a pretransplant CGA model and to identify geriatric impairments influencing the geriatricians’ recommendations for KT. <b><i>Methods:</i></b> An observational study was conducted with retrospective data from July 2017 to January 2020. Patients aged ≥65 years with advanced CKD, treated or not with dialysis, and referred by the nephrologist were included in the study. The CGA assessed comorbidity burden, cognition, mood, nutritional status, (instrumental) activities of daily living, physical function, frailty, and polypharmacy. Geriatric impairments influencing the geriatricians’ recommendations for KT were identified using univariate and multivariate logistic regressions. <b><i>Results:</i></b> 156 patients were included (74.2 ± 3.5 years and 62.2% on dialysis). Geriatric conditions were highly prevalent in both dialysis and nondialysis groups. The rate of geriatric impairments was higher in dialysis patients regarding comorbidity burden, symptoms of depression, physical function, autonomy, and frailty. Geriatrician’s recommendations for KT were as follows: favorable (79.5%) versus not favorable or multidisciplinary discussion needed with nephrologists (20.5%). Dependence for Instrumental Activities of Daily Living (IADL) (odds ratio [OR] = 3.01 and 95% confidence interval [CI] = 1.30–7.31), physical functions (OR = 2.91 and 95% CI = 1.08–7.87), and frailty (OR = 2.66 and 95% CI = 1.07–6.65) were found to be independent geriatric impairments influencing geriatrician’s recommendations for KT. <b><i>Conclusions:</i></b> Understanding the burden of geriatric impairment provides an opportunity to direct KT decision-making and to guide interventions to prevent functional decline and preserve quality of life.


2019 ◽  
Vol 35 (9) ◽  
pp. 1188-1194 ◽  
Author(s):  
Mark Hensey ◽  
Dale J. Murdoch ◽  
Janarthanan Sathananthan ◽  
David A. Wood ◽  
John G. Webb

PRILOZI ◽  
2016 ◽  
Vol 37 (2-3) ◽  
pp. 33-42 ◽  
Author(s):  
Marijke Stryckers ◽  
Evi V Nagler ◽  
Wim Van Biesen

AbstractAs people age, chronic kidney disease becomes more common, but it rarely leads to end-stage kidney disease. When it does, the choice between dialysis and conservative care can be daunting, as much depends on life expectancy and personal expectations of medical care. Shared decision making implies adequately informing patients about their options, and facilitating deliberation of the available information, such that decisions are tailored to the individual’s values and preferences. Accurate estimations of one’s risk of progression to end-stage kidney disease and death with or without dialysis are essential for shared decision making to be effective. Formal risk prediction models can help, provided they are externally validated, well-calibrated and discriminative; include unambiguous and measureable variables; and come with readily applicable equations or scores. Reliable, externally validated risk prediction models for progression of chronic kidney disease to end-stage kidney disease or mortality in frail elderly with or without chronic kidney disease are scant. Within this paper, we discuss a number of promising models, highlighting both the strengths and limitations physicians should understand for using them judiciously, and emphasize the need for external validation over new development for further advancing the field.


2020 ◽  
Vol 34 (6) ◽  
pp. 2507-2515
Author(s):  
Asia Dunaevich ◽  
Hilla Chen ◽  
Danielle Musseri ◽  
Sharon Kuzi ◽  
Michal Mazaki‐Tovi ◽  
...  

Toxins ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 384
Author(s):  
Heidi Noels ◽  
Joachim Jankowski

With a mean worldwide prevalence of 13 [...]


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