Literature DB >> 16022085

Characterizing comorbidity in dialysis patients: principles of measurement and applications in risk adjustment and patient care.

Dana Miskulin1.   

Abstract

Comorbid conditions are highly prevalent in dialysis patients and are significant predictors of mortality and other adverse outcomes. Accordingly, it is important to account for differences in comorbid illness burden among groups of dialysis patients being compared. At present, there is no consensus on what conditions matter, how each should be defined, and what weights each carries when defining an individual's risk or case-mix severity. A number of comorbidity instruments, generic or disease specific, have been employed in dialysis populations. They differ by the representation and definition of conditions as well as instrument scoring. No instrument has been found to be superior to another in terms of predictive accuracy for mortality, and accuracy across the board is low. Further studies are needed to determine whether improvements would be found with the use of more specifically defined items and through assignment of item weights based on relationships for outcomes specifically in a dialysis population. The roles of other factors in risk prediction, such as markers of nutritional status, inflammation, or other physiological parameters, relative to comorbid conditions also need to be defined. Outcomes other than mortality are likely to identify different factors and/or different relationships than those noted for mortality, which also require study. Comorbidity is important for risk adjusting comparative analyses in nonrandomized trials and quality of care assessments and may, in future, influence payment for dialysis services. Efforts to improve the management of comorbid illnesses are needed. Comorbid conditions must be documented accurately and uniformly in all dialysis patients to enable these applications.

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Year:  2005        PMID: 16022085

Source DB:  PubMed          Journal:  Perit Dial Int        ISSN: 0896-8608            Impact factor:   1.756


  4 in total

1.  Abdominal lean muscle is associated with lower mortality among kidney waitlist candidates.

Authors:  Jayme E Locke; J Jeffrey Carr; Sangeeta Nair; James G Terry; Rhiannon D Reed; Grant D Smith; Dorry L Segev; Vineeta Kumar; Cora E Lewis
Journal:  Clin Transplant       Date:  2017-02-08       Impact factor: 2.863

2.  Recalibration and validation of the Charlson comorbidity index in Korean incident hemodialysis patients.

Authors:  Jae Yoon Park; Myoung-Hee Kim; Seung Seok Han; Hyunjeong Cho; Ho Kim; Dong-Ryeol Ryu; Hyunwook Kim; Hajeong Lee; Jung Pyo Lee; Chun-Soo Lim; Kyoung Hoon Kim; Kwon Wook Joo; Yon Su Kim; Dong Ki Kim
Journal:  PLoS One       Date:  2015-05-18       Impact factor: 3.240

3.  Methicillin-resistant Staphylococcus aureus (MRSA) catheter-related bacteraemia in haemodialysis patients.

Authors:  Guillermo Cuervo; Mariana Camoez; Evelyn Shaw; María Ángeles Dominguez; Oriol Gasch; Belén Padilla; Vicente Pintado; Benito Almirante; José Molina; Francisco López-Medrano; Enrique Ruiz de Gopegui; José A Martinez; Elena Bereciartua; Fernando Rodriguez-Lopez; Carlos Fernandez-Mazarrasa; Miguel Ángel Goenaga; Natividad Benito; Jesús Rodriguez-Baño; Elena Espejo; Miquel Pujol
Journal:  BMC Infect Dis       Date:  2015-10-30       Impact factor: 3.090

4.  Validating a Patient-Reported Comorbidity Measure with Respect to Quality of Life in End-Stage Renal Disease.

Authors:  Maxi Robinski; Franz Strich; Wilfried Mau; Matthias Girndt
Journal:  PLoS One       Date:  2016-06-13       Impact factor: 3.240

  4 in total

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