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1.
《Transplantation proceedings》2021,53(7):2238-2241
BackgroundThe purpose of this study was to identify factors influencing changes in the body mass index (BMI) of kidney transplant (KT) patients and provide data for the management of the BMI of patients who have undergone KT.MethodThe participants were 106 patients who underwent KT at a single center from August 2014 to June 2017. BMIs were compared and analyzed for 6 months and 24 months after KT, and the survey details were collected through medical records. Analysis was performed between 2 groups, one with increased BMI and the other without. Multivariate logistic regression analysis was performed to identify the factors related to an increase in BMI.ResultsBMI increased from 22.60 ± 2.72 kg/m2 at 6 months to 23.18 ± 3.06 kg/m2 2 years after KT. The group with increased BMI (n = 39) had more patients with higher low-density cholesterol levels at the time of KT (low-density cholesterol ≥100 mg/dL; 34 [54.0%] vs 10 [26.3]; P = .008) and without statin drug use than the other group (n = 67) (statin drug use, 48 [70.6%] vs 34 [87.2%], P = .044). Multiple logistic regression analysis showed that age >50 years (odds ratio [OR] = 2.942; 95% confidence interval [CI], 1.075-8.055; P = .036), low-density lipoprotein >100 mg/dL at KT (OR = 6.618; 95% CI, 2.225-19.682; P = 0.001), and no statin drugs (OR = 5.094; 95% CI, 1.449-17.911, P = .011) were the risk factors for an increased BMI after KT.ConclusionsAfter KT, to prevent an increase in the BMI, clinicians should strongly recommend the use of drugs to treat hyperlipidemia, especially in elderly patients with high low-density lipoprotein levels before KT.  相似文献   

2.
C-reactive protein (CRP) is a risk factor for cardiovascular outcomes and mortality in the general population. To date, there are no prospective studies of the association between CRP and mortality or allograft loss in kidney transplant recipients (KTR). In 1995, 438 consecutive KTR were enrolled in this prospective study. Important information on demographic, clinical and immunological characteristics was collected at baseline, and CRP was measured using standard methods. Patients were then followed-up for a median 7.8 years. Time-to-event analyses (univariate and multivariate Cox proportional hazards regression models) were used to study the main outcomes: all-cause mortality and kidney allograft loss, defined as the earlier of return to dialysis, re-transplantation, or death. From univariate analyses, we found that CRP >or=0.5 mg/dL was associated with a 83% greater mortality risk compared with lower levels of this inflammatory marker [hazard ratio (HR) = 1.83; 95% confidence interval (CI): 1.23-2.72; p = 0.003]. After multivariate adjustment, patients with a CRP >or=0.5 mg/dL had a 53% higher mortality risk compared with patients whose CRP was below that threshold (HR = 1.53; 95% CI: 1.01-2.31; p = 0.04). No associations between CRP and the risk of kidney allograft loss were detected. Furthermore, we were not able to detect any effect modification between CRP and body mass index on the outcomes under study. We conclude that CRP predicts all-cause mortality, but not allograft loss in stable KTR.  相似文献   

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《Transplantation proceedings》2023,55(5):1111-1115
BackgroundThe negative effects of pretransplant obesity and post-transplant body mass index (BMI) increase on graft survival have been reported in recent years. The aim of this study is to evaluate the effects of BMI changes on post-transplant graft function, lipid profile, and blood pressure.MethodsThe study included 133 pediatric patients transplanted between 1994 and 2019 in Ege University. BMI Z-scores (BMIZs) were calculated according to age and sex before and after transplantation using the World Health Organization criteria. Patients with BMIZs >+1 standard deviation (SD) were defined as overweight, and those with BMIZs >+2 SD were defined as obese: Group 1: Obese or overweight before transplantation; Group 2: Thin or normal weight before and 2 years after transplantation; and Group 3: Thin or normal weight before transplantation and obese or overweight 2 years after transplantation.ResultsAt the time of transplantation 8% of the patients were overweight, and 1% were obese. Overweight and obesity statistically significantly increased (31.6%) 2 years after renal transplantation (P = .001). Obese and overweight patients have lower high-density lipoprotein levels and were younger at the time of transplantation. Graft functions, lipid levels, and blood glucose levels of the groups were similar (P > .05). The only significant difference between the groups was that Group 1 patients were younger than Group 2.ConclusionsObesity develops at a significant rate in pediatric patients after renal transplantation. In this study, we could not demonstrate negative effects of obesity and being overweight in terms of post-transplant graft function, lipid profile, blood glucose, and blood pressure.  相似文献   

5.
BackgroundKidney transplantation (KT) in obese patients is controversial. The present study aimed to evaluate patient and graft survival and post-transplantation complications between obese and nonobese recipients.MethodsPatients (n = 3,054) receiving a KT from 1998 to 2008 were divided according to body mass index (BMI) into 3 groups for analysis: group I: BMI <30 kg/m2 (nonobese); group II: ≥30–34.9 kg/m2 (class I obese); and group III: ≥35 kg/m2 (class II and III obese).ResultsMean BMIs were: group I (n = 2,822): 22.6 ± 3.3 kg/m2; group II (n = 185): 31.9 ± 1.3 kg/m2; and group III (n = 47): 36.8 ± 1.7 kg/m2. There were no differences among the 3 groups in patient demographic variables regarding race, sex, or organ source. One-year (I, 98%; II, 98%; III, 95%) and 5-year (I, 90%; II, 92%; III, 89%) patient survival rates were similar among groups. Graft survival rates at 1 year were 96% for groups I and II and 91.5% for group III. Five-year graft survivals were: I, 81%; II, 96%; and III, 79%. The most common cause of graft loss was death, and the main cause of death was infection in all groups. Obese patients were more likely to experience wound dehiscence (I, 1.9%; II, 7.6%; III, 19.1%; P < .001), develop new-onset diabetes after transplantation (NODAT; I, 16.2%; II, 27%; III, 36%; P < .001), and have a prolonged length of hospital stay (I, 11.3 ± 11.4 d; II, 14.5 ± 14.3 d; III, 15.9 ± 16.7 d; P < .001).ConclusionsObese recipients demonstrated outcomes similar to nonobese patients regarding patient and graft survival. However, they had higher rates of prolonged length of hospital stay, wound dehiscence, and NODAT.  相似文献   

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Kidney transplantation is the optimal treatment for children with end‐stage renal disease. For children with undocumented immigration status, access to kidney transplantation is limited, and data on transplant outcomes in this population are scarce. The goal of the present retrospective single‐center study was to compare outcomes after kidney transplantation in undocumented children with those of US citizen children. Undocumented residency status was identified in 48 (17%) of 289 children who received a kidney transplant between 1998 and 2010. In undocumented recipients, graft survival at 1 and 5 years posttransplantation was similar, and mean estimated glomerular filtration rate at 1 year was higher than that in recipients who were citizens. The risk of allograft failure was lower in undocumented recipients relative to that in citizens at 5 years posttransplantation, after adjustment for patient age, donor age, donor type, and HLA mismatch (p < 0.04). In contrast, nearly one in five undocumented recipients who reached 21 years of age lost their graft, primarily because they were unable to pay for immunosuppressive medications once their state‐funded insurance had ended. These findings support the ongoing need for immigration policies for the undocumented that facilitate access to work‐permits and employment‐related insurance for this disadvantaged group.  相似文献   

8.
Cardiovascular disease (CVD) is frequent after kidney transplantation (KT). This study investigated CVD prediction in KT by information available before KT or within 6 months after KT. The study cohort consisted of 629 patients with KT in 2005–10 and with adult age at KT. The end point was incidence up to 2015 of CVD (coronary heart disease, cerebrovascular disease, peripheral artery disease). Graft failure, non-CVD death with functioning graft, and loss to follow-up were considered competing events. CVD prediction was investigated for 34 variables by means of competing-risks regression. Follow-up range was 0.28–10.00 years (mean ± SD, 7.30 ± 3.10). First incident event was CVD in 103 patients and competing events in 146 patients. In the multivariable model for pre-KT variables only, CVD predictors were male sex (hazard ratio [HR], 1.68; 95% confidence interval [CI], 1.06–2.66), diabetic nephropathy (HR, 6.63; 95% CI, 1.81–24.35), pre-KT dialysis for ≥5 years (HR, 1.52; 95% CI, 1.02–2.27), pre-KT CVD (HR, 4.87; 95% CI, 2.84–8.35), and age at KT ≥45 years (HR, 2.98; 95% CI, 1.83–4.87). In the model for pre-KT and post-KT variables together, the sole post-KT CVD predictor was estimated glomerular filtration rate <60 mL/min at the 6-month visit (HR, 1.75; 95% CI, 1.11–2.77). Diabetic nephropathy, pre-KT dialysis, pre-KT CVD, and age at KT predicted 91.2% of incident CVD. Early available information effectively predicted CVD in KT independently from competing events.  相似文献   

9.
《Transplantation proceedings》2021,53(10):2879-2887
BackgroundThe aim of the study was to assess the influence of pretransplant body mass index (BMI [calculated as weight in kilograms divided by height in meters squared]) to the graft and patient 5- and 10-year survival.MethodsOur study group consisted of 706 patients who received their kidney transplant after the year 2000.ResultsAlmost half, 51.9% (n = 372) of the patients had BMI < 25, and 47.6% (n = 336) had BMI ≥ 25. Patients who were overweight or obese were significantly older than other groups (P = .01). The 5-year recipient survival was significantly better in the BMI < 25 group (n = 291, 79.5%) than the BMI ≥ 25 group (n = 238, 70.2%, P < .05). In addition, 10-year recipient survival was better in the BMI < 25 group (n = 175, 47.8%) compared with the BMI ≥ 25 group (n = 127, 37.5%, P < .05). Similarly, 5-year graft survival was better in the BMI < 25 group (66.9%, n = 242) compared with the BMI ≥ 25 group (61.1%, n = 204, P < .05). However, 10-year graft survival was not statistically significant (P = .08). Regarding the impact of diabetes on survival, we found patients with diabetes mellitus to have worse survival in all groups (P = .009).ConclusionsRecipient graft survival was affected by diabetes mellitus independently from being overweight. In the current study, we demonstrated that pretransplant obesity or being overweight affects recipient and graft short-term survival, but long-term comparison of patients who were overweight or obese with patients with normal BMI revealed minimal recipient survival differences and in graft survival analysis no difference. Although in many studies obesity and being overweight predict a bad outcome for kidney transplant recipient survival, our research did not fully confirm it. Diabetes mellitus had worse outcome in all patients groups.  相似文献   

10.

Background

Cytomegalovirus (CMV) infection is associated with an increased risk of cardiac complications in kidney transplant recipients (KTRs). Some data suggest that CMV may be involved in atherogenesis. The aim of the study was the analysis of CMV medical history in KTRs and its influence on cardiovascular (CV) incidents.

Materials and Methods

The study observed 254 patients (165 male/89 female) with mean age of 47.2 (range, 15–81) years and duration of dialysis before transplantation 29.2 months who received transplants in 1 university unit (2007–2013). Thirty-six patients were transplanted preemptively. The mean time of observation lasted 7 years. KTRs suffered from diabetes, hypertension, and hyperlipidemia (17.3%, 88.5%, and 61%, respectively). Coronary artery disease was diagnosed in 19.6% patients, 3.5% underwent elective coronary surgery operation, and 9.05% had CV incidents before transplantation. The following CMV donor/recipient (D/R) viral statuses were noticed in the study group: D+/R+ (68.9%), D+/R? (16.9%), D?/R+ (10.2%), and D?/B? (3.9%). D+/R? received universal CMV prophylaxis; the rest were under preemptive CMV prophylaxis. CMV infection affected 87 (34.25%) patients; there were 24 primary infections and 85 secondary infections (some patients had more than 1 CMV). Mean time of diagnosis of the primary and secondary CMV infection was 190.7 and 160.5 days, respectively.

Results

During observation 22 patients experienced 26 CV incidents: 15 were D+/R+, 6 were D+/R?, and 1 was D?/R+. CMV infections occurred in 40.9% of patients with CV incidents after kidney transplantation. In comparison, 33.6% patients without CV incidents after kidney transplantation suffered from CMV infection.

Conclusions

CMV infection in KTRs was not a crucial risk factor for CV incidents.  相似文献   

11.

Background

Kidney transplant recipients (KTR) are at increased risk of requiring colorectal resection compared to the general population. Given the need for lifelong immunosuppression and the physiologic impact of years of renal replacement, we hypothesized that colorectal resection may be riskier for this unique population.

Methods

We investigated the differences in mortality, morbidity, length of stay (LOS), and cost between 2410 KTR and 1,433,437 non-KTR undergoing colorectal resection at both transplant and non-transplant centers using the National Inpatient Sample between 2000 and 2013, adjusting for patient and hospital level factors.

Results

In hospital, mortality was higher for KTR in comparison to non-KTR (11.1 vs 4.3%, p?<?0.001; adjusted odds ratio [aOR] 2.683.594.81) as were overall complications (38.5 vs 31.5%, p?=?0.001; aOR 1.081.301.56). LOS was significantly longer (10 vs 7 days, p?<?0.001; ratio 1.421.531.65) and cost was significantly greater ($23,056 vs $14,139, p?<?0.001; ratio 1.421.541.63) for KTR compared to non-KTR. While LOS was longer for KTR undergoing resection at transplant centers compared to non-transplant centers (aOR 1.68 vs 1.53, p?=?0.03), there were no statistically significant differences in mortality, overall morbidity, or cost by center type.

Conclusions

KTR have higher mortality, higher incidence of overall complications, longer LOS, and higher cost than non-KTR following colorectal resection, regardless of center type. Physicians should consider these elevated risks when planning for surgery in the KTR population and counsel patients accordingly.
  相似文献   

12.

Background

Heart transplantation (HTx) is an important treatment for end-stage chronic heart failure. After HTx, recipients frequently become obese. Gaining weight measured by body mass index (BMI) has been reported as a common phenomenon for patients before and after solid organ transplantation, becoming specifically significant for the long-term follow up after organ transplantation. In the long term following HTx, overweight and obesity may lead to increased risk of cardiovascular complications, developing metabolic syndrome–a topic well documented in previous studies.

Aim

The aims of this study were to calculate the BMI in patients after HTx with follow up in our center and to assess potential predictors for overweight and obesity as well as their consequences.

Methods

A complete assessment of the BMI among all available heart transplant (HT) recipients (n = 169) was performed. Data were retrieved from patients' charts. Data were statistically analyzed.

Results

The sample mean age was 55.12 ± 13.34 years, mean years since transplantation being 10.70 ± 5.26 years and the majority of study subjects were males (76.33%). Overall BMI was mean 26.33 ± 3.79. Based on the World Health Organization (WHO) classification, 32.54% were normal, 46.74% were overweight, and 18.34% were obese. We did not observe a statistical difference between BMI before and after transplantation, between immunosuppressive protocol, and receipt of steroids. We observed an association between BMI and level of fasting glucose (r = 0.35; P < .05) and difference between BMI and gender as well as the presence of cardiovascular diseases.

Conclusions

Overweight and obesity after HTx are common and reflect a risk factor for cardiac allograft vasculopathy and other cardiovascular diseases as well as metabolic syndrome among HT recipients.  相似文献   

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BackgroundConversion from calcineurin inhibitor (CNI)-based to belatacept-based immunosuppression has become common; however, numerous protocols have emerged in lieu of a standardized protocol. The purpose of this study was to characterize belatacept conversion protocols from multiple centers and observe outcomes.MethodsThis was a retrospective study that included Kaiser Permanente Southern California members. The primary outcome was rejection 6 months after conversion and secondary outcomes included change in serum creatinine and graft loss.ResultsSeventy-eight patients were included. Thirteen distinct protocols were identified from 8 different transplant centers. Protocols varied by initial dose, induction schedule, and CNI taper. The observed rate of rejection was 6%. There was a trend toward an association of rejection with lower tacrolimus exposure at the time of conversion and lower mycophenolic acid dosing postconversion. Graft survival was 88% and patient survival was 94%. There was a significant improvement in creatinine after conversion. Those with early conversions and creatinine >2.0 mg/dL at the time of conversion had the best response.ConclusionsA large variety of belatacept conversion protocols were identified. Protocols were defined by the initial dose, induction regimen, and CNI taper. Rejection rates were low and may be influenced by exposure to maintenance immunosuppression during and after conversion. Most patients showed stabilization and improvement in creatinine postconversion, with the largest effect in those with an early conversion and serum creatinine >2.0 mg/dL.  相似文献   

19.

Background

Isolated common femoral endarterectomy was recently reported to have a 30-day mortality of 3.4%. The effect of adjunctive femoral endarterectomy at the time of lower extremity bypass is not well described, and therefore, the purpose of this study was to determine its associated perioperative and long-term risk.

Methods

Vascular Study Group of New England registry data were used to identify patients undergoing initial lower extremity bypass from 2003 to 2015. After univariate analysis, multivariable logistic regression was used to identify the independent association of endarterectomy with adverse perioperative events. Kaplan-Meier and Cox hazard models were used for the 1-year analysis.

Results

After exclusions, 4496 patients were identified as undergoing infrainguinal bypass (33% with endarterectomy). There was no difference in the proportion with chronic limb-threatening ischemia (CLI; 68% vs 67%; P = .24) or tissue loss of those with CLI (65% vs 63%; P = .34) between the adjunctive endarterectomy group and bypass alone, respectively. Patients undergoing adjunctive endarterectomy were older (mean 68 years vs 67 years; P = .02), more likely white (95% vs 93%; P = .02), smokers (91% vs 87%; P = .001), and more often had prior coronary artery bypass grafting/percutaneous coronary intervention (34% vs 31%; P = .02). The endarterectomy cohort had similar 30-day mortality (CLI: 2.6% vs 2.9%; P = .60; claudication: 0.2% vs 0.4%; P = 1.0) despite a longer operative time (median, 268 minutes vs 210 minutes; P < .001) and increased blood loss (median, 250 mL vs 180 mL; P < .001). Patients with CLI undergoing adjunctive endarterectomy had more in-hospital myocardial infarctions (MIs; 6.2% vs 3.8%; P = .003) and transfusions (11% vs 6.8%; P < .001). At 1-year, this group had a suggestion of improved freedom from major amputation (91% vs 87%; P = .049) and amputation-free survival (80% vs 76%; P = .03) that did not reach significance after adjustment. For patients with claudication and adjunctive endarterectomy, rates of MI (2.4% vs 0.9%; P = .02), renal dysfunction (3.6% vs 1.4%; P = .01), surgical site infection (SSI; 5.0% vs 2.6%; P = .02), and transfusion (4.6% vs 1.8%; P = .002) were higher. After adjustment, all patients undergoing adjunctive endarterectomy were at increased risk of MI (odds ratio [OR], 1.6; 95% confidence interval [CI], 1.1-2.2), SSI (OR, 1.5; 95% CI, 1.1-2.0), and bleeding requiring transfusion (OR, 1.8; 95% CI, 1.4-2.3). There were no differences in 1-year survival for CLI or claudication groups and no difference in all 1-year end points for patients with claudication.

Conclusions

Adjunctive femoral endarterectomy with bypass is safe, with no difference in perioperative or 1-year mortality compared with bypass. However, surgeons should be aware that adjunctive endarterectomy is associated with an increased risk of bleeding, SSI, and MI, likely from these patients' disease burden and presumed more extensive atherosclerosis.  相似文献   

20.

Background

Outcomes of patients with end-stage renal disease are mainly affected by their comorbidities. Detailed data evaluating the impact of pre-transplant comorbidities on long-term outcome after kidney transplantation are largely missing.

Methods

In a long-term retrospective analysis, we investigated 839 deceased donor kidney transplant recipients (KTRs) who received transplants between 1999 and 2014. The prevalence and impact of the most relevant comorbidities were studied in detail.

Results

At the time of transplantation, 25% of KTRs had coronary artery disease (CAD), 16% had diabetes mellitus (DM), 11% had peripheral arterial disease (PAD), 8% had chronic heart failure (CHF), and 7% had cerebrovascular disease (CVD). KTRs with pre-existing CAD, DM, PAD, and CHF showed a significantly inferior patient survival. Multivariate analysis adjusting for all relevant factors and comorbidities confirmed CAD as most hazardous independent risk factor for premature death (hazard ratio [HR] 1.70; P = .002). A multivariate analysis revealed CHF and PAD as independent risk factors for death censored graft loss (HR 2.20; P = .003 and HR 1.80; P = .013). Diabetes was independently and significantly associated with T-cell- (HR 1.46; P = .020) and antibody-mediated rejections (HR 2.27; P = .030).

Conclusions

Detailed quantification of the impact of pre-transplant comorbidities may facilitate the evaluation of transplant candidates, guide post-transplant follow-up, and may help to further refine prediction algorithms and allocation systems.  相似文献   

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