Introduction
Simultaneous pancreas-kidney transplantation (SPKT) offers considerable survival benefits for patients with insulin-dependent diabetes mellitus and end-stage renal disease (ESRD), because it restores long-term glycemic control and can reduce secondary diabetic complications [
1‐
6].
Due to organ shortage, most of these patients must undergo long-term renal replacement therapy (RRT) prior to SPKT. With hemodialysis (HD) and peritoneal dialysis (PD), two efficient RRTs are available pre-transplant. However, both dialysis modalities substantially influence patients’ health, as well as their ability to work and participate in social activities. Conventional HD is usually performed intermittently three times a week in a dialysis center. During HD, uremic toxins are removed from the blood extracorporeally through a filter, which is generally considered as a stressful procedure, with an increased risk of cardiovascular diseases [
7,
8]. By contrast, PD uses the peritoneum as a filter through which substances are exchanged with the blood. In general, PD offers greater flexibility as it can be performed at different time points, almost always at home and independent of medical staff, although it carries the risk of metabolic complications related to systemic glucose absorption from the dialysate (e.g. hyperlipidemia and decompensation of diabetes mellitus), and catheter-associated complications. PD catheter infection can lead to subsequent peritonitis, which remains the major cause of morbidity and mortality in PD patients [
7,
9].
Apart from mere graft and patient survival rates after transplantation, measuring the health-Related Quality of Life (HRQoL) has become an issue of further interest as it provides an overall view of the impact of the disease process on psychosocial status. Monitoring the HRQoL helps to define how disease symptoms affect the patient’s life, physical and mental functioning, and their ability to cope with the new life situation after transplantation.
Recent studies have shown that patients generally experience better quality of life after SPKT compared with dialysis patients [
4,
10‐
13]. However, the influence of dialysis modality prior to SPKT on the surgical outcome and HRQoL after transplantation is less clear. Thus, the current study has sought to analyze the outcome and HRQoL in diabetic patients with ESRD undergoing SPKT regarding pre-transplant dialysis modality.
Methods
Study population
Medical data from patients with insulin-dependent diabetes mellitus (type 1 or 2) and ESRD who received SPKT at the University Hospital of Leipzig between 2000 and 2016 were retrospectively analyzed. Our data source comprised a prospectively collected electronic database. Approval for this analysis was granted by the local ethics committee [AZ: Nr: 111–16-14,032,016]. Patients undergoing pre-emptive transplantation, re-transplants, living donor kidney transplantation, those aged younger than 18 years, and those with missing data were excluded from the study.
Outcome measures
Special emphasis was placed on the outcome of dialysis modality before transplantation (HD versus PD), recipient and donor characteristics, intra- and postoperative variables and complications such as patient, graft as well as HRQoL outcomes before (during dialysis) and after transplantation. Characteristics included age, gender, body mass index (BMI, weight in kg/height in m2), duration of insulin-dependent diabetes mellitus, duration of dialysis, and time on the waiting list. Cardiovascular disease included information about peripheral arterial obstructive disease and coronary heart disease (coronary artery bypass graft or stent). Peri- and post-transplant data included information on cold ischemia time of the kidney/pancreas, immunosuppressive therapy as well as patient and organ graft function.
Furthermore, complications occurring during the first 3 months after transplantation were analyzed. Surgical complications were defined as the need for relaparotomy within the first 3 months after transplantation. Intra-abdominal infections were defined as the development of infected fluid collection that required an intervention and/or antibiotic drug therapy. Gastrointestinal bleedings were defined as bleedings requiring relaparotomy or endoscopy, or patients suffering from sudden anemia combined with either melena or hematemesis. Other bleedings comprising intra-abdominal hemorrhages, were diagnosed by CT scan or relaparotomy performed due to acute anemia.
For measuring the HRQoL in this study, the most commonly-used and internationally-validated Medical Outcomes Study 36-Item Short Form Health Survey (SF-36) questionnaire was used. Patients were asked to evaluate their HRQoL before transplantation (undergoing dialysis), such as 1 year after transplantation. Therefore, SF-36 forms were completed at different time points after transplantation, but not earlier than 1 year after transplantation.
HRQoL was evaluated in a second assessment through written HRQoL questionnaires (SF-36) sent to all patients with an invitation to complete a quality-of-life survey retrospectively. The SF-36 survey was sent by mail to patients’ home addresses. Additionally, patients were interviewed via telephone or during a clinical visit, as indicated. Return envelopes were included free of charge. A period of 2 weeks was envisaged for returning questionnaires. All patients who had not returned the questionnaire after 2 weeks were contacted a second time via mail or telephone within another 14 days. Altogether, patients had 4 weeks to submit their responses. Prior to the study, informed consent of all patients and the local ethics committee [AZ: Nr: 111–16-14,032,016] was obtained. Because the HRQoL assessment was performed separately, it was not possible to correlate HRQoL scores with all clinical data. The average time span between transplantation and completion of the questionnaires was 8.6 ± 2.9 years.
The SF-36 has 36 questions (without specific one for renal failure or diabetes) that assess the ability to perform vigorous activities and activities for daily living and participate in social, family and occupational activities. Eight scales/dimensions describe domains of physical functions (PF, ten items), role limitations due to physical problems (PR, four items), bodily pain (BP, two items), a general perception of health (GH, five items), energy and vitality (VIT, four items), social functions (SF, two items), role limitations due to emotional problems (RE, three items), and mental health (MH, five items). The subscales can be combined into two summation scales measuring the overall physical and mental HRQoL: a physical component summary (PCS = PF + PR + BP + GH) and a mental component summary (MCS = VIT + SF + RE + MH). Subscale scores were transformed to a 0–100 scale, with 0 representing the least to 100 representing the greatest well-being.
Surgical techniques
The pancreas and kidney grafts were procured according to the guidelines provided by Eurotransplant (ET) [
14]. As described earlier, the pancreas was explanted in a no-touch technique [
15]. An illiac y-graft was used for reconstruction of the superior mesenteric and the lienal artery. The pancreas was transplanted transabdominally using a standard technique with an intraperitoneal location in the right iliac fossa [
16]. Exocrine drainage was carried out with a side-to-side duodenojejunostomy [
3,
17]. Kidneys were transplanted transabdominally into the left iliacal fossa. The ureter was implanted into the bladder according to the Lich-Gregoir technique using a double J intra-ureteral splint [
16].
Immunosuppression
Immunosuppressive therapy comprised an induction therapy with the interleukin-2 receptor antagonist basiliximab or antithymocyte globulin, followed by a triple maintenance immunosuppression consisting of calcineurin inhibitors (tacrolimus or cyclosporine), and/or antimetabolites (mycofenolate mofetil or sirolimus) and tapered steroids (prednisolone).
Statistical analysis
Baseline data are presented as mean values with the standard deviation (SD), minimum or maximum range such as the proportion percentage (%). Baseline data were compared with appropriate statistical significance test including the Student’s t–test, χ2, analysis of variance (ANOVA), Kruskal-Wallis and Wilcoxon–Mann–Whitney tests. Analysis of covariance (ANCOVA) was used to adjust the difference between the two groups after SPKT, with hemodialysis as one predictor and baseline measurements of HRQoL domains (before SPKT) as the other. Survival rates were calculated using the Kaplan-Meier analysis and the log-rank test was applied to test statistical significance. Graft survival was calculated as the time from initial transplant to graft failure (re-start of dialysis), censoring for death with a functioning graft and grafts still functioning at time of analysis. Patient survival is defined as time from transplant to patient death, censoring for patients still alive at time of analysis. If a recipient was alive or lost to follow-up at time of last contact, then survival time was censored at time of last contact. Multivariate Cox proportional hazards analysis was applied to assess independent predictors of patient death and pancreas graft failure, including clinically-relevant variables and/or those presenting P ≤ 0.15 in univariate analysis: recipient gender, BMI and age, dialysis modality (HD versus PD), time on dialysis, years of diabetes mellitus, concomitant cardiovascular disease and surgical complications. SPSS software (SPSS Inc., Chicago, Illinois, USA, version 21.0) was used for statistical analysis and graphs. A P value < 0.05 was considered as statistically significant.
Discussion
Post-transplant outcome and survival
Infectious complications remain a significant cause of morbidity and mortality after SPKT [
3,
4,
6,
18]. A much-debated question is whether pre-transplant PD increases the risk for intra-abdominal infections after transplantation due to the risk of catheter-associated peritonitis. Binaut et al. showed a higher rate of parietal sepsis in PD patients after kidney transplantation alone (KTA) compared with patients who received HD prior to transplantation [
19]. Martins et al. reported a significantly higher rate of pancreas loss due to infection among PD patients after SPKT (HD: 3.4% versus PD: 12.8%;
P = 0.042), whereas ten out of 39 (25.6%) PD patients had peritonitis in their past [
20]. By contrast, other studies have reported no difference in surgical outcome between HD and PD patients after SPKT [
21‐
24]. Our analysis could not reveal significant differences in intra-abdominal infection rates after SPKT between the two groups, and there was no correlation between the incidence of pre-transplant peritonitis and post-transplant intra-abdominal infection. Besides dialysis modality, the incidence of intra-abdominal infection after SPKT may be related to other factors, namely surgical technique (especially pancreas-anastomosis), the length of hospital stays and the intensity of immunosuppression.
In the literature, there are reports of an increased graft loss in PD patients compared with HD patients post-transplant. After KTA, an increased graft loss in PD patients is reported, mainly due to renal vascular thrombosis [
25,
26]. In a study investigating outcomes after SPKT, Martins et al. reported a significantly higher rate of thrombosis-driven relaparotomy in PD patients compared with HD patients. Moreover, they recognized a near significant higher rate of renal graft loss due to thrombosis in PD patients compared with HD patients [
20]. In our study, no correlations were found between pre-transplant dialysis modality and patient or graft survival. Only the rate of pancreas graft failure due to thrombosis was non-significantly higher in the PD group (HD: 4.7% versus PD: 15.8%,
P = 0.10). However, these data must be interpreted with caution, because other variables such as patient comorbidities (cardiovascular diseases, BMI), along with recipient age and time on dialysis might be additional factors that influence the outcome and survival.
Pre-transplant HRQoL
Most published studies evaluating dialysis patients waiting for KTA show inconclusive results related to pre-transplant HRQoL and dialysis modality [
27]. Previous publications have used a broad range of measures to assess HRQoL and analyzed patients with different demographic characteristics and medical history. Our findings indicate that PD is associated with a significantly better physical functioning and physical component summary before SPKT compared with patients receiving HD as a pre-transplant dialysis modality. Moreover, besides mental health, all other components of the SF-36 score were (although not significantly) higher in PD patients. The better reported quality of life among PD patients may stem from the positive effect of medical self-management through PD, which can be performed independently or with the help of a caregiver and develops a sense of personal control, which positively correlates with features of HRQoL. By contrast, conventional HD is a stressful process and time spent on a dialysis ward can contribute to a lower quality of life, as the number of hours in HD hinders professional and social functioning.
Post-transplant HRQoL
The HRQoL of patients improved in both study groups after transplantation, which underlines the therapeutic success of SPKT, besides medical outcomes and objective clinical parameters. This is in line with most published studies showing a significant improvement in patient-reported general HRQoL after SPKT and better diabetes-specific quality of life [
4,
10‐
13].
Psychiatric disorders could influence the poor evaluation of the quality of life among HD patients [
28]. HD carries the risk of vascular dehydration and hypotension following cerebellar hypoperfusion and may lead to cognitive impairment and cardiovascular diseases [
29‐
31]. Sapilak revealed a strong negative correlation of HRQoL of HD patients with depression symptoms and anxiety [
32]. In a study by Smith et al. evaluating 37 patients pre-transplant and 4 months after SPKT, approximately half of the patients showed an improvement of HRQoL, although one-third even experienced reduced HRQoL. The authors showed that pre-existing psychiatric disorders at the time of transplant were the only significant predictor of reduced quality of life following pancreas transplantation [
33]. In line with these reports, in our study the rate of depression in patient history was significantly higher in the HD group (
P = 0.049). However, with a small sample size and missing details about psychosocial status and longitudinal periodic assessment of depression disease, caution must be applied as the findings might not be representative.
In the literature, the relative importance of patients’ gender on HRQoL after transplantation is debated. In a study by Rajkumar et al., 12 months after transplantation (KTA or SPKT) most HRQoL scores (seven out of eight) were better for women than for men. Moreover, HRQoL scores of female recipients were not statistically different from the control group in the general population [
12]. The authors postulated that differences in expectations and appreciation of improvements in health after transplantation, differences in social network and emotional support may provide an explanation for these findings. Other reports have favored men and shown that female gender is a negative predictive factor of HRQoL after SPKT [
10,
33]. In a study by Martin et al. evaluating HRQoL in 60 male and 66 female SPKT patients, no lower scores for female patients were observed [
11]. Different results in the literature may be explained by different follow-up periods, study populations and study designs/questionnaires. In our analysis, the number of female recipients was significantly higher in the PD group (
P = 0.017), although we did not observe gender-based differences in the overall study population.
In the present study, we have shown that graft loss has a significant impact on HRQoL after SPKT due to a loss of independence from insulin therapy and freedom from dialysis. This is in line with previous publications in which graft loss has been associated with significant worsening of the HRQoL [
4,
34,
35], and maintenance of two functioning grafts seems to be an independent predictor of higher post-transplant quality-of-life scores [
11]. Furthermore, the results of Sutherland et al. indicate that achieving insulin independence improves QOL more than becoming dialysis-free [
4].
Limitations
There are some notable limitations of this study that should be mentioned, related to the data source and study design. The main limitations of the study are its retrospective nature, the heterogenous group size and the fact that all data collection was undertaken at one time, which make it difficult to evaluate the causality of the findings and associations. As such, there may be some amount of variation from year to year with changes in the outcome and level of HRQoL. Second, not only disease or dialysis modality determine one’s view of life quality, but also many non-disease factors (work, education, and other sociodemographic factors) play important additive role in the perception of HRQoL. The option for PD or HD normally depends on the patient’s condition (comorbid situations, vascular and peritoneal conditions), autonomy and convenience, as well as the health care system (dialysis center factors).
Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit
http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (
http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.