Causes of rehospitalization after renal transplantation; does age of recipient matter?

BACKGROUND: This study assessed the causes and related factors of rehospitalization following renal transplantation among elderly compared with younger patients. METHODS: We reviewed the charts of 567 patients rehospitalized after kidney transplantation from 2000 to 2006. According to age at the time of transplantation, hospitalizations were divided into two groups: group 1 (age >or=50 years) and group II (age 20 to 50 years). Demographics, clinical findings, causes for rehospitalization, patient outcomes (recovery, graft loss, death), intensive care unit (ICU) admission, length of hospital stay, time interval from transplantation to rehospitalization, as well as hospital costs were compared between the two groups. RESULTS: One hundred eighty-five (32.6%) rehospitalizations were charted for group I, who showed a higher proportion of admissions due to infection (42.2% vs 29.8%, P=.004) and macrovascular disease (3.8% vs 1.0%, P=.027) compared with group II. ICU admission (8.8% vs 2.4%, P=.001), mortality (10.2% vs 3.6%, P=.008), and hospital charges (1610 +/- 933 vs 931 +/- 850 purchase power parity dollars, P=.001) were also seen more frequently in group I but displayed a lower frequency of admissions due to graft rejection (20% vs 34.3%, P=.001). CONCLUSION: Recipient age at the time of transplantation was a main factor affecting rehospitalization among our patients.

Bone mineral density changes within 11 months of renal transplantation in Iranian patients.

BACKGROUND AND AIM: We studied bone mineral density (BMD) changes in Iranian patients with end-stage renal disease (ESRD) within 11 months after renal transplantation. METHODS: Among 68 ESRD candidates for renal transplantation, the BMD at the femur and the spine were assessed using a DEXA Norland scanner. Linear regression analysis was used to identify risk factors associated with low bone density. RESULTS: Mean BMD, T-score and Z-score of femur and spine were significantly reduced (at femur, 0.78 +/- 0.14, -2.4 +/- 1.1, -1.6 +/- 1.0; at spine, 142.25 +/- 105, -1.09 +/- 1.1, -1.07 +/- 0.9). Osteoporosis and osteopenia were found 55.2% and 36.2% at the femur and 8.6% and 58.6% at the spine, respectively. The BMD showed a significant negative association with age (r=0.615), female gender (r=0.394), and corticosteroid intake (r=0.286), and a positive association with weight (r=0.394) and body mass index (r=0.626). There was no significant association between BMD measurements and calcium, phosphorous, or parathyroid hormone levels. At 11 months follow-up, in 20 patients, the subject had lost a mean of 2.4% T-score and 2.8% Z-score at spine (P=.027 and .13, respectively), but did not experience significant declines at the femur. BMD showed a decrease in 80% of recipients in the spine area; there was a 15% BMD increase at the hip. CONCLUSION: Low bone density is common among ESRD Iranian patients. Early screening and treatment of this group is recommended. Significant loss in lumbar density occurred within 11 months of transplantation in more than one third of a prospective cohort of renal transplant recipients.

Marital quality in kidney transplant recipients: easy to predict, hard to neglect.

BACKGROUND: Given the significant role of post-renal transplant familial support in the patient's adherence to treatment, a study into the contributors to marital quality in this population seems necessary. This study sought to identify the predictors of poor post-renal transplant marital quality. METHODS: This cross-sectional study was conducted in 2006 on 125 married kidney transplant recipients. Marital quality was evaluated using the Revised Marital Adjustment Scale (RMAS). A score below the fourth-quartile MAS score of a group of age- and sex- matched healthy controls was interpreted as poor marital relationship. Multiple logistic regression analysis was utilized to evaluate the predictors of poor marital relationship. RESULTS: The mean time interval between transplantation and assessment of marital quality was 43 +/- 15 months. Poor post-renal transplant marital quality can be predicted by the kidney transplant recipient's sex (M/F) (odds ratio [OR]; 0.31; 95% confidence interval [CI], 0.11 to 0.90; P=.031), age at transplantation (OR, 0.93; 95% CI, 0.89 to 0.98; P=.005), educational level (OR, 0.67; 95% CI, 0.44 to 1.03; P=.067), and monthly family income (OR, 2.20; 95% CI, 1.09 to 4.44; P=.028). CONCLUSION: Presenting a simple prediction model for poor post-renal transplant marital relationship, this study will make it possible to detect patients at a higher risk of poor marital quality and thus avoid treatment noncompliance. At the time of transplantation, using simple demographic variables and providing couple-based health education programs as a part of a familial approach to renal transplantation may improve the outcome of such high-risk patients.

Cyclosporine trough (C0) and 2-hour postdose (C2) levels: which one is a predictor of graft loss?

BACKGROUND: Compared with conventionally measured trough level (C0), cyclosporine 2-hour postdose (C2) concentrations show a better correlation with the area under the curve and acute graft rejection. OBJECTIVES: We evaluated the relationships of C0 and C2 with long-term graft survival among kidney transplant recipients. METHODS: In a case-control design, we selected 215 adult kidney recipients. Inclusion criteria were more than 18 years of age at transplantation and at least 6 months of follow-up. The case group consisted of patients with graft loss (n=17) and a control group, patients with functioning grafts (n=198). The C0 and C2 levels for the first 6 months posttransplantation, along with demographic and clinical data, were compared between the two groups using univariate analysis. P<.05 was considered to be significant. RESULTS: The mean age at transplantation was 40.5 +/- 16.5 years. The mean follow-up duration was 18 +/- 14 months. The mean C0 values for the case and control groups were 257.8 +/- 126.5 and 248.5 +/- 104.4 mumol/L, respectively (P>.05). The values for C2 were 712.7 +/- 273.2 and 886.2 +/- 266.9 mumol/L, respectively (P=.01). CONCLUSIONS: We observed that C2, but not C0, in the first 6 months posttransplantation were a predictor of long-term graft survival. The findings here in supported the results of other studies that have proposed cyclosporine concentration monitoring by C2 rather than C0 measurements.

Iranian model of renal allograft transplantation in 3028 recipients: survival and risk factors.

BACKGROUND: Considering the organ shortage crisis for renal transplantation worldwide, assessing the risk factors to establish better allocation strategies to improve graft survival seems to be crucial. OBJECTIVES: We aimed to evaluate the risk factors influencing graft and patient survival after renal transplantation to construct a model of prognostic factors for living renal transplantation (LRT), namely living unrelated renal transplantation (LURT). METHODS: We designed a retrospective multicenter survey including medical record review of 3028 patients who received renal transplants at 2 hospitals between July 1984 and December 2005. We assessed the impact on graft survival of recipient/donor relationship, recipient age and gender, donor age and gender, and viral hepatitis B and C infections. RESULTS: Among 3028 recipients, including 94.8% primary grafts, 63.4% were men, mean +/- SE of age 36.4 +/- 0.3 years, with mostly end-stage renal disease due to diabetes mellitus, hypertension, or glomerulonephritis. One-, 5-, 10- and 15-year graft survival rates were 85.4%, 68.3%, 46.4%, and 23.8%, respectively. Patient survival rates were 93.4%, 87.5%, 79.4%, and 66.4% at the above intervals, respectively. Donor age (relative hazard [RH], 1.024; P<.001), unrelated donors (RH, 1.7; P<.001), and hepatitis C virus (HCV) infection (RH, 2.65; P<.001) were the only significant factors affecting graft survival. CONCLUSION: Increased donor age, unrelated donor, and HCV infection were significant factors negatively impacting graft survival; thus, proper management of these factors may lead to better graft and patient survival.

Prediction of inpatient survival and graft loss in rehospitalized kidney recipients.

INTRODUCTION: Despite a sizeable amount of research conducted hitherto into predictors of renal transplantation outcomes, there are scarce, data on predictors of in-hospital outcomes of post-kidney transplant rehospitalization. This study sought to provide a user-friendly prediction model for inpatient mortality and graft loss among rehospitalized kidney recipients. METHOD: This retrospective review of 424 consecutive kidney recipients rehospitalized after kidney transplantation between the years 2000 and 2005 used multiple logistic regression analysis to evaluate predictors of hospitalization outcomes. RESULTS: Multivariate analysis showed that age at admission, diabetes mellitus as the cause of end-stage renal disease (ESRD), admission due to cerebrovascular accident (CVA), surgical complications were predictors of in-hospital death; age at transplantation, surgical complications, and rejection were predictors of graft loss. Equation for prediction of in-hospital death was Logit(death) -0.304 * age at transplantation (year) + 0.284 age at admission (year) + 1.621 admission for surgical complication + 4.001 admission for CVA-ischemic heart disease + 2.312 diabetes as cause of ESRD. Equation for prediction of in-hospital death was Logit(graft loss) = 0.041 age at transplantation (year) + 1.184 admission for graft rejection + 1.798 admission for surgical complication. CONCLUSIONS: Our prediction equations, using simple demographic and clinical variables, estimated the probability of inpatient mortality and graft loss among re-hospitalized kidney recipients.

Cytomegalovirus disease after kidney transplantation: clues to accurate diagnosis.

BACKGROUND: The clinical diagnosis of cytomegalovirus (CMV) disease after kidney transplantation is often not accurate. We evaluated the factors associated with a correct diagnosis of CMV disease in these patients. MATERIALS AND METHODS: This retrospective study of all renal transplant patients between 2004 and 2005 with a clinical diagnosis of CMV disease included both donors and recipients who were seropositive for CMV at transplantation. We assessed the rate and correlated factors with a correct diagnosis. RESULTS: Among 127 cases, the 30 (23.6%) patients who had a correct diagnosis of CMV disease. Showed higher ages at transplantation (48.8 +/- 15.3 vs. 39.8 +/- 14.4 years; P=.004) and a shorter interval between transplantation and symptom presentation (9.7 +/- 20.7 vs. 25.6 +/- 33.6 days; P=.048). Diabetes mellitus (DM) was the cause of end-stage renal disease (ESRD) in 41% of patients with a correct diagnosis, whereas it was the cause in 11% of CMV disease-negative patients (P<.001). A multiple logistic regression model showed that DM as the cause of ESRD (P=.001; odds ratio [OR] 16.331), >5 months duration between transplantation and the presence of symptoms (P=.001; OR, 0.060), and age at transplantation >55 years (P=.022; OR, 3.833) were predictors of a correct diagnosis of CMV disease (chi(2)=46.45; P<.001). CONCLUSION: The results herein showed that considering some variables significantly improved the accuracy of a correct diagnosis of CMV disease after kidney transplantation.

Impact of pregnancy on the outcome of kidney transplantation.

BACKGROUND: There is still controversy over whether pregnancy adversely affects renal transplantation outcomes. We, thus, compared two groups of kidney transplant recipients in terms of patient survival and allograft function: those who did versus did not conceive posttransplant. METHODS: This historical cohort study conducted between 1996 and 2002, divided female kidney transplant recipients of reproductive age into group I (n=86, at least one posttransplant pregnancy) and group II (n=125, no posttransplant pregnancy). The two groups were matched for age, cause of end-stage renal disease (ESRD), treatment protocol, and first creatinine (Cr). All patients received a first transplant and all had a Cr less than 1.5 mg/dL on entry into the study. The subjects were followed for 45.4 +/- 22.0 and 46.3 +/- 19.8 months, respectively (P>.05). Five-year patient and graft survivals and Cr were considered to be the main outcome measures. RESULTS: Mean (SD) age in groups I and II was 26.6 +/- 6.6 and 26.9 +/- 8.1 years, respectively (P>.05). Five-year patient and graft survival rates were not significantly different between the study groups. Of the women in group 1, only 9 (10.5%) subjects displayed elevated serum Cr levels (>1.5 mg/dL) at the end of follow-up, while the serum Cr levels in 35 (28%) group II patients were above 1.5 mg/dL (P=.024). CONCLUSION: Our results indicates pregnancy did not seem to adversely affect patient and graft survival among kidney transplant recipients. Renal transplantation in stable women of childbearing age should not be a contraindication to pregnancy.

Evaluation of ganciclovir resistance in cytomegalovirus infection of renal transplant recipients in Tehran.

BACKGROUND: Human cytomegalovirus (CMV) infection is a major issue in solid organ transplant recipients. Although development of prophylaxis and preemptive procedures have presented significantly improved consequences in CMV infection, increasing incidence of antiviral resistance has raised virologists' concern. METHODS: The present study focused on kidney transplant recipients with high quantities of CMV load after antiviral therapy. We collected 5 mL blood from each of 58 patients. DNA extraction was performed with the use of the QIAamp DNA Mini kit (Qiagen), in accordance with the manufacturer's instructions. RESULTS: Our population study was 38% female and 62% male. CMV DNA was observed in 50 specimens (86%) with the range of 1.9 × 10(3) to 11 × 10(7) copies/mL serum. All of these patients had received ganciclovir for >3 months. Sequencing showed 18 mutations in 10 patients. Among these, 16 mutations were associated with Ul97 and the rest with Ul54 gene. Forty CMV-positive patients did not show any mutations. CONCLUSIONS: The consequences of long-term ganciclovir resistance could not be determined.

Electrolytes Disturbance and Cyclosporine Blood Levels among Kidney Transplant Recipients.

BACKGROUND: Kidney transplantation is associated with various biochemical abnormalities such as changes in serum blood level of sodium (Na), potassium (K), calcium (Ca), and phosphorous (P). Although cyclosporine (CsA) is used commonly, the prevalence of its side effects, including electrolytes disturbance, is not well understood. OBJECTIVE: To find the prevalence of electrolytes disturbance and its relation to CsA blood levels. METHODS: In a retrospective study, 3308 kidney transplant recipients transplanted between 2008 and 2011 were studied. We evaluated the relation between serum Ca, P, Na, K and CsA trough (C0) and 2-hour post-dose (C2) levels. RESULTS: The mean±SD age of recipients was 37±15 years; 63% of patients were male. Overall, C2 levels had correlation with Ca blood level (p=0.018; OR: 1.13, 95%CI: 1.02-1.25), C0 levels had also correlation with blood levels of P and Cr (p<0.001; OR: 1.83, 95% CI: 1.59-2.11). CONCLUSION: Electrolyte disturbances are prevalent. Higher serum levels of CsA can worsen the allograft function by disturbing the serum P and Ca levels.

Is the lower cyclosporine concentration at 2 hours after dosing safe in kidney transplant recipients?

OBJECTIVE: To determine the correlation between cyclosporine blood concentration at 2 hours after dosing (C2) and renal allograft function. MATERIALS AND METHODS: From 2008 to 2010, 1191 kidney transplant recipients (718 male and 473 female patients) were studied. The correlation between serum creatinine concentration and C2 blood concentration was stratified as 400, 600, 800, and 1000 ng/mL. RESULTS: The mean (SD) C2 was 620 (235) ng/mL, and serum creatinine concentration was 1.49 (0.68) mg/dL. At multivariate regression analysis, no significant correlation was observed between serum creatinine concentration and C2 blood concentrations of 600, 800, or 1000 ng/mL (P=.18, .57, and .76, respectively); however, it was associated at 400 ng/mL (P=.03). Moreover, 36.1% of 3159 samples demonstrated satisfactory renal allograft function despite low C2 blood concentration between 400 and 600 ng/mL. CONCLUSION: During maintenance therapy, C2 blood concentration between 400 and 600 ng/mL is effective and safe for providing prophylaxis against rejection, and can improve long-term survival by decreasing cyclosporine toxicity.

Old male living renal transplant recipients more likely to be at risk for colorectal cancer.

BACKGROUND: The development of posttransplant malignancy is a well-recognized complication of kidney transplantation due to immunosuppressive therapy. The literature on colorectal malignancy in living renal transplant recipients are limited; most of the data have been collected from deceased donor cases. As living kidney donation is now growing, we sought to define the characteristics and pattern of gastrointestinal malignancy among this group. METHODS: This cross-sectional, multicenter study analyzed the incidence and characteristics of colorectal malignancy among 17 patients with gastrointestinal malignancy after living donor renal transplantation between 1985 and 2009 in Iran. We observed a new-onset, biopsy-proven colorectal malignancy in eight patients of mean age 49.6±10.3 years (range=27-60) at transplantation time and a mean age of 61.1±8.6 years (range=53.4-78.6) at cancer diagnosis. RESULTS: The cumulative incidence rate of colorectal malignancy of 0.03% was restricted to the male gender (100%), all of whom had functioning grafts. The mean period from transplantation to diagnosis was 99.7±10.4 months (range=5-284). The majority of the recipients were aged more than 50 years (n=5) and the most frequent immunosuppressive drug was azathioprine (n=5); none had received antithymocyte globulin/antilymphocyte globulin. It was mostly a late-onset malignancy with 50% of recipients presenting beyond 5 years from transplantation. They were followed for a mean of 9.2±2.4 (range=6-12) months after cancer diagnosis with three patients having succumbed within 9 months. CONCLUSION: Due to the long latency after transplantation and the poor outcomes of colorectal malignancy these patients require long-term screening tests for early detection and due to their poor outcomes a new therapeutic approach.

The impact of hepatitis B infection on outcome of kidney transplantation: a long-term study.

BACKGROUND: With the success of kidney transplantation, liver disease has emerged as an important cause of morbidity and mortality in kidney recipients. OBJECTIVE: To determine the impact of hepatitis B virus (HBV) infection on patients and graft survival in both short- and long-terms. METHODS: 99 renal transplant patients infected with HBV on follow-up in two major transplant centers were included in a retrospective study. These patients were grafted between 1986 and 2005 and divided into two groups: (1) those only positive for hepatitis B surface antigen (HBsAg) and (2) those who were also positive for hepatitis C virus antibodies (HCV Ab). RESULTS: There were 88 patients with HBsAg(+) and 11 with both HBsAg(+) and HCV Ab(+). The mean±SD age of patients was 38.8±13.2 years, and the median follow-up after transplantation was 19 months. Although not significant, the allograft survival rate in the first group (HBV(+)) was better compared to that in the second group (HBV(+) and HCV(+)); 1, 5 and 10 years graft survival rates were 91, 77 and 62 in the first group and 70, 56 and 28 in the second group, respectively (P=0.07). The overall mortality was 5% (4 of 88) in the first and 27% (3 of 11) in the second group (P=0.02). CONCLUSION: Renal allograft recipients with HBV and HCV infections has a poor survival rate compared to patients with only HBV infection. However, there is no significant difference in terms of renal graft survival between the two groups.