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1.
ASEAN Heart J ; 23(1): 1, 2015.
Article in English | MEDLINE | ID: mdl-26316667

ABSTRACT

INTRODUCTION: For suitable end-stage renal failure (ESRF) patients, renal transplantation gives better long term survival and quality of life as compared to dialysis. Prior to entry into the renal transplant wait list, potential candidates are screened for the presence of cardiovascular disease. However, the waiting time on the transplant list is long, and interval screening for cardiac fitness for surgery is not well defined. We aim to study the risk factors for the development of a cardiovascular event (CVE) and the time interval from recruitment to onset of a CVE that resulted in their removal from the transplant wait list. METHODS: A retrospective study of all patients registered under the cadaveric renal transplant waiting list in Singapore General Hospital (SGH) from 16th April 1987 to 31st October 2010. We identified patients who developed a CVE among this cohort. We compared the demographics and clinical characteristics of patients who experienced a CVE versus those who did not. Univariable and multivariable cox regression were performed to investigate the significant variables for the development of a CVE. The time to development of CVE was estimated using Kaplan Meier estimation and log-rank test was used to compare the time to CVE between those with diabetes mellitus and those without. RESULTS: 1265 patients were enrolled in this study. 273 patients dropped out of the wait list due to medical reasons or death, of which 38.8% were due to CVE. The mean and median time duration from recruitment into the waiting list to development of a CVE was 14.42 (95% CI 13.72 to 15.11) and 15.69 (95% CI 13.86 to 17.51) years respectively. For patients with diabetes mellitus, this was 8.22 (95% CI 6.30 to 10.14) and 8.16 (95% CI 4.95 to 11.36) years respectively. Factors associated with an increased risk of developing a CVE included male gender (adjusted HR 2.21, 95% CI 1.43 to 3.41, p<0.001), presence of diabetes mellitus (adjusted HR 5.13, 95% CI 2.85 to 9.24, p<0.001) and patients who were either not working or working part-time as compared to their full-time counterparts (adjusted HR 1.76, 95% CI 1.14 to 2.72, p=0.010). In addition, hazard ratio for CVE significantly increased with advancing age quartile (p<0.001 by log rank test for trend). CONCLUSION: A significant proportion of patients exited from the renal transplant wait list due to a CVE. Being male, age 37 years old or more, presence of diabetes mellitus and non-working or part-time workers as compared to full-time workers were found to increase the risk of developing a CVE during the wait period for transplantation. The presence of diabetes mellitus significantly shortened the time to development of a CVE.

2.
Article in English | WPRIM (Western Pacific) | ID: wpr-285577

ABSTRACT

<p><b>INTRODUCTION</b>Waiting times for kidney transplant are long in Singapore. Healthrelated quality of life (HRQoL) of patients might be affected as a result of the stress of the long wait and the uncertainty of being called to undergo a surgical operation. This study aimed to measure the HRQoL of patients on the kidney transplant waiting list and to identify factors which could impact on the HRQoL scores in this group of patients.</p><p><b>MATERIALS AND METHODS</b>This was a cross-sectional study of kidney transplant waiting list patients managed at a tertiary renal unit using the SF-36. A SF-36 normative calculator was used to generate HRQoL scores for the Singapore general population matched with the study cohort's age, gender and ethnicity.</p><p><b>RESULTS</b>There were 265 respondents with a response rate was 81%. Our study shows that HRQoL scores for the kidney transplant waiting list patients were lower than the population norms across all subscales and were clinically significant for General Health, Role Physical, Bodily Pain, Social Functioning and Mental Component Summary scores. Factors such as being Chinese, married, employed and undergoing haemodialysis predicted better HRQoL scores after adjusting for possible confounders. Age, gender, educational level, household income, history of kidney transplant, duration on the transplant waiting list and years on dialysis did not significantly influence SF-36 across all subscales scores.</p><p><b>CONCLUSION</b>Kidney transplant waiting list patients had worse HRQoL compared to the general population. Factors such as ethnicity, marital status, employment status, and type of dialysis treatment significantly influenced patients' perception of their HRQoL.</p>


Subject(s)
Female , Humans , Male , Cross-Sectional Studies , Health Status , Kidney Transplantation , Quality of Life , Surveys and Questionnaires , Waiting Lists
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