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Shahid M Chandna a Department of
Nephrology, Lister Hospital, Stevenage SG1 4AB, b Department of Psychology, University of Hertfordshire,
Hatfield AL10 9AB
Correspondence to: Dr Chandna
shahid.chandna{at}lister.org.uk
Objectives:
To determine factors influencing survival and need for hospitalisation in patients needing dialysis, and to
define the potential basis for rationing access to renal replacement therapy.
Design:
Hospital based cohort study of all patients starting dialysis over a 4 year recruitment period (follow up 15-63 months). Groups were defined on the basis of age, comorbidity, functional status, and whether dialysis initiation was planned or unplanned.
Setting:
Renal unit in a district general hospital, which acts as the main renal referral centre for four other such hospitals and serves a population of about 1.15 million people.
Subjects:
292 patients, mean age 61.3 years (18-92 years, SD 15.8), of whom 193 (66%) were male, and 59 (20%) were
patients with diabetes. Dialysis initiation was planned in 163 (56%)
patients and unplanned in 129 (44%).
Main outcome measures:
Overall survival, 1 year
survival, and hospitalisation rate.
Results:
Factors affecting survival in the Cox's
proportional hazard model were Karnofsky performance score at
presentation (hazard ratio 0.979, 95% confidence interval 0.972 to
0.986), comorbidity severity score (1.240, 1.131 to 1.340), age (1.036, 1.018 to 1.054), and myeloma (2.15, 1.140 to 4.042). The Karnofsky performance score used 3 months before presentation was significant (0.970, 0.956 to 0.981), as was unplanned presentation in this model
(1.796, 1.233 to 2.617). Using these factors, a high risk group of 26 patients was defined, with 19.2% 1 year survival. Denying dialysis to
this group would save 3.2% of the total cost of the chronic programme
but would sacrifice five long term survivors. Less rigorous definition
of the high risk group would save more money but lose more long term survivors.
Conclusions:
Severity of comorbid conditions and
functional capacity are more important than age in predicting survival
and morbidity of patients on dialysis. Late referral for dialysis affects survival adversely. Denial of dialysis to patients in an
extremely high risk group, defined by a new stratification based on
logistic regression, would be of debatable benefit.
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