Literature DB >> 32734942

Does Rescheduling a Missed In-Center Hemodialysis Treatment Improve Clinical Outcomes?

Nasim Wiegley1, Andrew I Chin1.   

Abstract

Entities:  

Year:  2020        PMID: 32734942      PMCID: PMC7380335          DOI: 10.1016/j.xkme.2020.01.004

Source DB:  PubMed          Journal:  Kidney Med        ISSN: 2590-0595


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Related Article, p. 12 Rates of end-stage renal disease (ESRD) are increasing worldwide, with more patients than ever receiving dialysis. In 2016, ∼90% of patients with ESRD in the United States were receiving conventional thrice-weekly in-center hemodialysis (HD). Conventional HD has been associated with less favorable clinical outcomes and has a high burden on quality of life. Missed HD treatments are common, appear higher in the United States as compared with other developed countries, and are increasing over the past couple of decades., According to the most recent update from the US Renal Data System 2018 annual report, although rates of hospitalization for patients with ESRD have declined during the last decade, the rates of emergency department (ED) visits have increased during the same time. Multiple prior studies have shown an association between nonadherence to outpatient dialysis treatments and increased rates of mortality and hospitalizations and overall less favorable outcomes.3, 4, 5, 6 In some instances, patients miss a scheduled treatment but make up the HD the very next day. Is there a consequence to this? In this issue of Kidney Medicine, Cohen et al investigated whether missing and then attending HD treatment the very next day had an effect on clinical outcomes. The study used an observational design with retrospective evaluation of maintenance HD patients from a single national large dialysis organization treated with a Monday/Wednesday/Friday schedule. The authors’ primary outcomes were hospitalization, ED visit, and mortality, with secondary outcomes including systolic blood pressure, hemoglobin levels, and erythropoiesis-stimulating agent use rate during the following 7- and 30-day intervals postexposure (missed HD treatment). Patients were categorized based on their attendance status (attended, missed, and rescheduled). The authors opted to perform parallel analyses of 2 separately propensity score–matched cohorts; patients who missed dialysis without rescheduling or who rescheduled HD treatment on the index day were each matched with patients who attended the treatment as scheduled. Not surprisingly, the authors noted that compared to attending the scheduled HD treatment, a missed session was associated with a significantly higher rate of hospitalization and ED visits during the subsequent 7- and 30-day intervals. Interestingly, although a rescheduled treatment the following day (compared with attending the scheduled session) also showed higher hospitalization and ED visit rates, the magnitude of difference was lower in the rescheduled group as opposed to the missed-treatment group. There were no noted differences in mortality rates at 30 days between the groups; this was not evaluated at the 7-day mark due to a low event rate. These results suggest that attending a rescheduled treatment reduces but does not fully eliminate the adverse effects of a missed session. The authors bring to attention the known risks associated with missing dialysis. Their novel finding relates to the persistence of hospitalization and ED visit risks in those who reschedule and attend a make-up dialysis treatment the following day, and that this higher risk appears to persist throughout the month. Readers may query whether patient risks associated with missing and rescheduling a dialysis treatment differ by which day of the week was missed. A missed Wednesday or Friday HD treatment made up the following day results in a 2-day interdialytic gap. However, a missed Monday dialysis that is rescheduled to Tuesday now results in 3 days without dialysis, essentially increasing the “killer gap” by an additional day while still maintaining a thrice weekly HD regimen. Notably, mortality was not found to be significantly greater in either the missed or missed and rescheduled cohorts. Nonetheless, one wonders whether the increased 7-day hospitalization and ED visit event rates were driven by missed Monday treatments. This question was not addressed and perhaps could not be answered by the study design. Additionally, the reasons for missing scheduled HD treatments could not be determined given the study design, but they may have significant bearing on the observed differences in outcomes. Patients receiving maintenance HD miss treatments for a variety of reasons, including distance from their dialysis facility, transportation challenges, inclement weather, as well as physical and psychosocial issues including depression, psychiatric illness, pain, gastrointestinal symptoms, and perceived lack of social support.,, Moreover, patient variables such as depression, perceptions of social support, and well-being appear to be independently associated with poor outcomes in patients with ESRD receiving HD.10, 11, 12, 13 Thus, patients who miss but reschedule a dialysis treatment the very next day may have an ongoing higher risk for hospitalization and ED visits, even 30 days later, not necessarily because of residual biochemical, volume, or other physiologic derangements caused by this off-schedule HD, but due to the underlying reason that dialysis was missed in the first place. These factors for missing dialysis are always difficult to identify and match in any retrospective study. As providers of dialysis, we routinely attempt to reschedule a missed HD session for our patients. Unfortunately, only ∼10% of missed treatments are rescheduled and attended the next day despite our best efforts. Patient lack of understanding and motivation to attend dialysis are parts of the problem. However, even when patients agree to make up a missed dialysis session, availability of a vacant chair in dialysis clinics at maximum capacity and transportation issues are frequent logistical hurdles in making the rescheduled HD actually take place. In a survey study of in-center HD patients and social workers, 62% of patient respondents reported using a Medicaid-funded transportation source, and 39% stated that they had missed a treatment due to a mistake by their transportation provider. Social workers reported that an average of 4.5 missed treatments each month were due to transportation provider issues. Thus, obtaining last-minute transportation for off-schedule HD is oftentimes a major challenge for our patients. The present study by Cohen et al provides new information about the issue of missed in-center HD treatments. Although residual confounders may partly explain the association of higher adverse risk ratios even with attending a make-up HD treatment, we should certainly continue to do our best to assist our patients in getting into a dialysis chair the next day. However, we must also realize that simply “penciling in” a patient to an open slot and providing a date and time may not suffice. We cannot ignore the root causes of missing HD treatments. It will require a team effort that involves nephrologists, dialysis nurses, social workers, and even front desk personnel to overcome issues of transportation, education, and self-perception that form some of the complex barriers to HD attendance.
  13 in total

1.  Adherence barriers to chronic dialysis in the United States.

Authors:  Kevin E Chan; Ravi I Thadhani; Franklin W Maddux
Journal:  J Am Soc Nephrol       Date:  2014-04-24       Impact factor: 10.121

2.  In-center hemodialysis attendance: patient perceptions of risks, barriers, and recommendations.

Authors:  Kara B Chenitz; Michael Fernando; Judy A Shea
Journal:  Hemodial Int       Date:  2014-01-22       Impact factor: 1.812

Review 3.  Adherence with dialysis: a focus on mortality risk.

Authors:  John E Leggat
Journal:  Semin Dial       Date:  2005 Mar-Apr       Impact factor: 3.455

4.  An international study of patient compliance with hemodialysis.

Authors:  A J Bleyer; B Hylander; H Sudo; Y Nomoto; E de la Torre; R A Chen; J M Burkart
Journal:  JAMA       Date:  1999-04-07       Impact factor: 56.272

5.  US Renal Data System 2018 Annual Data Report: Epidemiology of Kidney Disease in the United States.

Authors:  Rajiv Saran; Bruce Robinson; Kevin C Abbott; Lawrence Y C Agodoa; Jennifer Bragg-Gresham; Rajesh Balkrishnan; Nicole Bhave; Xue Dietrich; Zhechen Ding; Paul W Eggers; Abduzhappar Gaipov; Daniel Gillen; Debbie Gipson; Haoyu Gu; Paula Guro; Diana Haggerty; Yun Han; Kevin He; William Herman; Michael Heung; Richard A Hirth; Jui-Ting Hsiung; David Hutton; Aya Inoue; Steven J Jacobsen; Yan Jin; Kamyar Kalantar-Zadeh; Alissa Kapke; Carola-Ellen Kleine; Csaba P Kovesdy; William Krueter; Vivian Kurtz; Yiting Li; Sai Liu; Maria V Marroquin; Keith McCullough; Miklos Z Molnar; Zubin Modi; Maria Montez-Rath; Hamid Moradi; Hal Morgenstern; Purna Mukhopadhyay; Brahmajee Nallamothu; Danh V Nguyen; Keith C Norris; Ann M O'Hare; Yoshitsugu Obi; Christina Park; Jeffrey Pearson; Ronald Pisoni; Praveen K Potukuchi; Kaitlyn Repeck; Connie M Rhee; Douglas E Schaubel; Jillian Schrager; David T Selewski; Ruth Shamraj; Sally F Shaw; Jiaxiao M Shi; Monica Shieu; John J Sim; Melissa Soohoo; Diane Steffick; Elani Streja; Keiichi Sumida; Manjula Kurella Tamura; Anca Tilea; Megan Turf; Dongyu Wang; Wenjing Weng; Kenneth J Woodside; April Wyncott; Jie Xiang; Xin Xin; Maggie Yin; Amy S You; Xiaosong Zhang; Hui Zhou; Vahakn Shahinian
Journal:  Am J Kidney Dis       Date:  2019-02-21       Impact factor: 8.860

6.  Missed Hemodialysis Treatments: International Variation, Predictors, and Outcomes in the Dialysis Outcomes and Practice Patterns Study (DOPPS).

Authors:  Issa Al Salmi; Maria Larkina; Mia Wang; Lalita Subramanian; Hal Morgenstern; Stefan H Jacobson; Raymond Hakim; Francesca Tentori; Rajiv Saran; Takashi Akiba; Natalia A Tomilina; Friedrich K Port; Bruce M Robinson; Ronald L Pisoni
Journal:  Am J Kidney Dis       Date:  2018-08-23       Impact factor: 8.860

7.  Psychosocial predictors of survival in end-stage renal disease.

Authors:  G M Devins; J Mann; H Mandin; L C Paul; R B Hons; E D Burgess; K Taub; S Schorr; P K Letourneau; S Buckle
Journal:  J Nerv Ment Dis       Date:  1990-02       Impact factor: 2.254

8.  Nonadherence in hemodialysis: associations with mortality, hospitalization, and practice patterns in the DOPPS.

Authors:  Rajiv Saran; Jennifer L Bragg-Gresham; Hugh C Rayner; David A Goodkin; Marcia L Keen; Paul C Van Dijk; Kiyoshi Kurokawa; Luis Piera; Akira Saito; Shunichi Fukuhara; Eric W Young; Philip J Held; Friedrich K Port
Journal:  Kidney Int       Date:  2003-07       Impact factor: 10.612

9.  Depression, perception of illness and mortality in patients with end-stage renal disease.

Authors:  R A Peterson; P L Kimmel; C R Sacks; M L Mesquita; S J Simmens; D Reiss
Journal:  Int J Psychiatry Med       Date:  1991       Impact factor: 1.210

10.  Psychosocial factors, behavioral compliance and survival in urban hemodialysis patients.

Authors:  P L Kimmel; R A Peterson; K L Weihs; S J Simmens; S Alleyne; I Cruz; J H Veis
Journal:  Kidney Int       Date:  1998-07       Impact factor: 10.612

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