Risk Factors for New-Onset Diabetes Mellitus After Heart Transplantation: A Nomogram Approach

BackgroundNew-onset diabetes mellitus after transplantation (NODAT) is a leading cause of morbidity and mortality after heart transplantation (HT), which still remains a clinical challenge.MethodsIn this study, 522,708 follow-up records of HT were reviewed. After screening, 14,452 patients were analyzed when combined with immunosuppression records. We divided all patients into no-NODAT group, NODAT group, and preexisting diabetes group based on whether the patient had diabetes and the time when it occurred. Cox regression models were used to examine independent risk factors. A nomogram was established to predict the incidence of NODAT after HT. The machine learning method were used to confirm the prediction accuracy and reliability of the nomogram.ResultsPatients who experienced NODAT after HT had poor survival compared with those without NODAT. Tacrolimus, cyclosporine A (CsA), rapamycin, donor age, and recipient age at the time of transplant were significant predictors of NODAT. Tacrolimus had a more significant association with NODAT, followed by rapamycin and CsA. The nomogram method we adopted in this study had an accuracy of 63% in predicting the incidence of NODAT.ConclusionThe survival probability of HT recipients with NODAT showed a significant decreasing tendency. However, there was no difference in survival probability between patients with preexisting diabetes and patients with NODAT. Tacrolimus had a more significant association with NODAT than CsA and rapamycin.     

Early Pulse Pressure and Low-Grade Proteinuria as Independent Long-Term Risk Factors for New-Onset Diabetes Mellitus After Kidney Transplantation

Risk factors for new-onset diabetes after transplantation (NODAT) need to be assessed in large cohorts.
We retrospectively evaluated the impact of early (3 and 6 months after transplantation) proteinuria, urinary albumin excretion (UAE) and arterial pressure on NODAT in 828 Causasian renal transplant recipients (median follow-up: 5.3 years; 5832 patient-years).
The 10- and 20-year incidence of NODAT was 15.0% and 22.0%, respectively. Low-grade (<1 g/day) (HR: 2.04 [1.25–3.33], p = 0.0042) and very low-grade (<0.3 g/day) (HR: 2.21 [1.32–3.70], p = 0.0025) proteinuria were independent risk factors for NODAT. There was a dose-dependent relationship across UAE categories (increasing risk from normoalbuminuria to macroalbuminuria) with NODAT. Tacrolimus, sirolimus and beta-blockers (HR: 1.86 [1.07–3.22], p = 0.0277) were significantly associated with NODAT even after multiple adjustments, but not diuretics, angiotensin-converting enzyme inhibitors or angiotensin-receptor blockers. Systolic arterial pressure (HR per 10 mmHg: 1.16 [1.03–1.29], p = 0.0126) and pulse pressure (HR: 1.26 [1.12–1.43], p = 0.0002) were associated with NODAT. Only pulse pressure remained significant after adjustments. Patients at highest risks had early proteinuria and pulse pressure >60 mmHg.
Early low-grade proteinuria and pulse pressure (in addition to beta-blockers) constitute independent risk factors for NODAT; they may be markers of the metabolic syndrome and/or vascular damage in renal transplant recipients.     

Risk Factors of the Development of Diabetes Mellitus After Kidney Transplantation

BackgroundThe occurrence of diabetes mellitus is common after kidney transplantation (posttransplant diabetes mellitus [PTDM]) and enhances the cardiovascular risk and risk for kidney graft loss. The incidence of PTDM is about 5% to 40%. This study aimed to examine the potential risk factors that determine the occurrence of PTDM.MethodsThis study retrospectively included 298 patients from transplantation unit of Evangelismos who underwent kidney transplantation during a 10-year period (January 1, 2009, to January 1, 2019). Kidney transplant recipients with diabetes mellitus prior to transplantation or those with follow-up of <6 months were rejected from the study. In total, the study included 274 recipients with a mean age of 50 ± 18 years. The mean time of monitoring was 63 ± 18 months. The PTDM diagnosis was based on the 2018 criteria of the American Diabetes Association.ResultsOf 274 kidney transplant recipients, PTDM developed in 38 (13.8%) patients over a period of 11 ± 9 months after transplantation. Given that immunosuppressive therapy was identical in most patients, statistical analysis did not correlate the incidence of diabetes with treatment. However, there was a correlation for the occurrence of PTDM between the presence of hypomagnesemia and increased uric acid levels. Finally, there was a negative correlation between the age of the recipient and the time of PTDM onset.ConclusionHypomagnesemia and hyperuricemia increased the risk of PTDM in these patients. Given the association between hypomagnesemia and the development of diabetes mellitus after kidney transplantation, prospective studies are needed to identify the causes of PTDM and to develop prevention strategies.     

Development of Diabetes Mellitus Following Kidney Transplantation: A Canadian Experience

The onset of diabetes mellitus following kidney transplantation or post-transplant diabetes mellitus (PTDM) is now recognized as being an increasingly common complication that is associated with poor graft and patient survival. The incidence and clinical correlates of PTDM in a Canadian kidney transplant population has not been examined and may vary based on differences in demographics (i.e. race). Furthermore, little information exists on the association of variables such as cumulative dose of corticosteroids and trough calcineurin inhibitor levels and PTDM. We examined all recipients of a kidney transplant in our center between 1995 and 2001 and found an overall PTDM rate of 9.8%. Five clinical factors were independently associated with PTDM: older recipient age, deceased donor, hepatitis C antibody status, rejection episode and use of tacrolimus (vs. cyclosporine). Furthermore, cumulative corticosteroid dose and calcineurin inhibitor trough level were not associated with PTDM. This study demonstrates that in a Canadian kidney transplant population that there is a significant risk of PTDM following kidney transplantation, and it is therefore advisable to minimize this risk.     

Obesity, Adiponectin and Inflammation as Predictors of New-Onset Diabetes Mellitus After Kidney Transplantation

The high incidence of new-onset diabetes mellitus after transplantation (NODAT) suggests the need to find new factors to explain the pathogenesis. Our objectives were (1) to confirm that low levels of pre-transplant adiponectin are an independent risk factor for the development of NODAT in a larger transplanted population; (2) to analyze whether adiponectin is a better predictor of NODAT than other inflammatory markers (C-reactive protein (CRP), interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-alpha) and pregnancy-associated plasma protein A (PAPP-A)) and (3) to assess the relationship between obesity, inflammatory markers and NODAT. One hundred ninety-nine non-diabetic patients (128 men; age: 53 +/- 11 years; body mass index (BMI) 24.98 +/- 3.76 kg/m2) were included. Pre-transplant plasma glucose, insulin, adiponectin, CRP, TNF-alpha, IL-6 and PAPP-A were measured. Forty-five patients developed NODAT. Patients with NODAT had a greater BMI (p = 0.005). Adiponectin was lower (p < 0.001) and CRP higher (p = 0.032) in patients with NODAT. Multivariate logistic regression and Cox analysis showed that the calcineurin inhibitor used, pre-transplant BMI and adiponectin were predictors of NODAT. ROC analysis showed that an adiponectin concentration of 11.4 microg/mL had a significant negative prediction for NODAT risk (sensitivity: 81% and specificity: 70%). Of the inflammatory markers studied, adiponectin proved to be an independent predictor of NODAT.     

New-onset Diabetes Mellitus Following Successful Kidney Transplantation Facilitates Aortic Stiffening

BackgroundFollowing kidney transplantation (KT), new-onset diabetes mellitus (NODM) is one of the most common complications. NODM usually occurs early after KT, and is diagnosed according to the general guidelines relevant for general diabetes mellitus patients. Arterial stiffness is a surrogate marker of cardiovascular risk. According to the literature, a successful KT has only limited and late beneficial effects on aortic elastic properties. The present study aimed to assess whether NODM has any additive value on the worsening of echocardiography-derived aortic elastic properties in transplanted patients.MethodsWe have included 28 nondiabetic post-KT patients in the study, older than 18 years (mean age: 48.2 ± 6.9 years; 13 men, 15 women). After an oral glucose tolerance test, 8 patients were diagnosed with NODM, and their results were compared to 23 age-, sex-, and risk factor-matched controls (mean age: 54.9 ± 11.0 years; 9 men, 14 women). All post-KT patients and matched controls underwent a complete transthoracic 2-dimensional Doppler echocardiography, together with an assessment of echocardiographic aortic elastic properties. The assessments included aortic strain, aortic distensibility, and aortic stiffness index.ResultsAortic elastic properties showed alterations in post-KT patients compared to matched controls (aortic strain: .084 ± .039 vs .057 ± .032, P < .05; aortic distensibility: 2.36 ± 1.09 cm²/dynes 10^–6 vs 1.83 ± 1.18 cm²/dynes 10^–6, P = .07; aortic stiffness index: 7.15 ± 3.58 vs 11.2 ± 6.1, P < .05). Further deterioration in the aortic stiffness index (14.8 ± 7.6 vs 9.68 ± 4.88, P < .05) was detected in the presence of NODM.ConclusionsNODM following successful KT facilitates aortic stiffening.     

Insulin Resistance as a Risk Factor for New-Onset Diabetes After Kidney Transplantation

Introduction

New-onset diabetes after transplantation (NODAT) is a serious and common complication after kidney transplantation. Insulin resistance, together with β-cell dysfunction, plays an essential role in the development of diabetes. Homeostasis model assessment of insulin resistance (HOMA-IR), which is calculated as [fasting plasma glucose (mmol/L) × fasting insulin (mU/L)]/22.5, is widely used as an index of insulin resistance. However, the correlation between pretransplant HOMA-IR and the development of NODAT has not been fully established.

Methods

We performed a retrospective study of 44 nondiabetic patients who underwent living donor kidney transplantation in our hospital from July 2006 to October 2009. We compared the HOMA-IR and demographic variables of patients who developed NODAT with those who did not.

Results

Five patients (11.4%) developed NODAT within 3 years after transplantation. There were no differences in demographic variables between patients who developed NODAT and those who did not. Logistic regression analysis revealed that HOMA-IR was a predictive factor of NODAT (odds ratio, 2.88; 95% CI, 1.11–9.59; P < .05).

Conclusions

Our results indicate that high HOMA-IR might be an important predictive factor for NODAT. These findings underline the importance of routine pretransplant measurements of fasting plasma glucose and serum insulin for evaluating HOMA-IR.     

Risk Factors for Development of New-Onset Diabetes Mellitus and Progressive Impairment of Glucose Metabolism After Living-Donor Liver Transplantation

Background

New-onset diabetes mellitus (NODM) has a negative impact on graft and patient survivals. Hepatitis C virus (HCV) infection, high body mass index, increased donor and recipient ages, and calcineurin inhibitor (CNI) type have been identified as risk factors for the development of NODM. We aimed to elucidate the risk factors for the development of NODM and those for progressive glucose intolerance in adult living-donor liver transplant (LDLT) recipients.

Methods

We collected data from 188 primary liver transplant recipients (age > 16 years) who underwent LDLT from June 1991 to December 2011 at Hiroshima University Hospital. Risk factors for NODM and progressive impairment of glucose metabolism in pre-transplantation diabetes mellitus (DM) recipients were examined.

Results

Pre-transplantation DM was diagnosed in 32 recipients (19.3%). The overall incidence of NODM was 6.0% (8/134 recipients). Multivariate analysis revealed that old recipient age (≥55 years) is a unique predictive risk factor for developing NODM. The incident of pre-transplantation DM was significantly higher in recipients with HCV infection than in those without HCV. A high pre-transplantation triglyceride level was an independent risk factor for progressive impairment of glucose tolerance among 32 LDLT recipients with pre-transplantation DM. All of the NODM patients were being treated with tacrolimus at the time of diagnosis. Switching the CNI from tacrolimus to cyclosporine allowed one-half of the patients (4/8) to withdraw from insulin-dependent therapy. NODM and post-transplantation glucose intolerance had no negative impact on patient and graft outcomes.

Conclusions

Older age of the recipient (≥55 years) was a significant risk factor for NODM. Hypertriglyceridemia in the recipients with DM is an independent risk factor for post-transplantation progressive impairment of glucose metabolism. NODM had no negative impact on outcomes in the LDLT recipients.     

Early Steroid Withdrawal After Kidney Transplantation in Patients at Risk for New-Onset Diabetes After Transplantation

BackgroundNew-onset diabetes after transplantation (NODAT) is a serious complication after kidney transplantation because of worse graft survival and increased risk of cardiovascular events. It is partly induced by immunosuppressive therapies such as corticosteroids. This study aimed to assess whether early corticosteroid withdrawal on day 4 (early steroid withdrawal [ESW] group) could prevent the development of NODAT within 2 years posttransplantation while maintaining good graft and patient survival rates.MethodsThis was an observational, single-center, retrospective study. All patients received an induction therapy of antithymocyte globulin or basiliximab and maintenance therapy of tacrolimus/mycophenolate mofetil/corticosteroids. Patients were either weaned off corticosteroids on day 4 (ESW group) or were maintained on corticosteroids for at least 3 months (standard group). NODAT was defined as the initiation of any oral hypoglycemic agent or insulin at 3 months and up to 2 years posttransplantation in previously nondiabetic recipients.ResultsBetween January, 1, 2010, and December 14, 2014, 492 recipients were included in this study; 88 received the ESW strategy, and 404 received the standard strategy. Age and body mass index (BMI) were significantly higher in the ESW group. The incidence of NODAT was 36.8% in the ESW group and 8.8% in the standard group (odds ratio [OR], 47.5; P < .001). Compared with a matched sample from the standard group that had the same probability to benefit from ESW at baseline, ESW was still associated with a significantly increased risk of NODAT (OR, 4.41; P = .018). Among recipients with a BMI >25 kg/m², the ESW strategy significantly decreased the risk of NODAT compared with the standard strategy (OR, 0.07; P = .013). Safety endpoints (eg, acute rejection, de novo–specific antibodies, graft function/survival) did not differ between groups.ConclusionDespite a reassuring safety profile, ESW on day 4 after kidney transplantation only had a marginal effect on the incidence of NODAT.     

Incidence and Risk Factors of Posttransplantation Diabetes Mellitus in Living Donor Kidney Transplantation: A Single-Center Retrospective Study in China

Background

Posttransplantation diabetes mellitus (PTDM) is a frequent metabolic complication following solid organ transplantation and was proven to be associated with adverse outcome. This study aimed to identify the incidence and risk factors of PTDM under the background of relative-living renal transplantation in China.

Repaglinide in the Management of New-Onset Diabetes Mellitus After Renal Transplantation

The purpose of this study was to investigate the use of the short-acting insulin secretion drug repaglinide in new-onset diabetes mellitus (NODM) after renal transplantation. Twenty-three Caucasian patients with NODM after renal transplantation were selected to receive repaglinide therapy and were followed for at least 6 months. A control group treated with rosiglitazone was chosen for comparison. Successful repaglinide treatment was defined as a significant improvement of blood glucose concentrations and HbA1c <7% in the absence of glucosuria and without the need for the addition of further anti-diabetic agents. After 6 months of treatment with repaglinide, 14 of the 23 patients were successfully treated. Mean HbA1c decreased from 7.6 +/- 0.6% to 5.8 +/- 0.6% in 14 patients treated successfully. In nine patients, hyperglycemia persisted, and they were switched to insulin treatment (HbA1c 8.5 +/- 2.9% at the beginning to 7.4 +/- 2.2%). Mean serum creatinine levels, cyclosporine A and tacrolimus blood levels did not change significantly following institution of repaglinide therapy. The rate of successful treatment and the degree of HbA1c decrease were similar compared to rosiglitazone-treated control patients. The data from our observational study indicate that repaglinide can be an effective treatment option in Caucasian patients with NODM after renal transplantation.     

Incidence, Risk Factors and Clinical Consequences of Neutropenia Following Kidney Transplantation: A Retrospective Study

Neutropenic episodes in kidney transplant patients are poorly characterized. In this retrospective study, neutropenia was experienced by 112/395 patients (28%) during the first year posttransplant. The only factor found to be significantly associated with the occurrence of neutropenia was combined tacrolimus-mycophenolate therapy (p < 0.001). Neutropenic patients experienced more bacterial infections (43% vs. 32%, p = 0.04). Grade of neutropenia correlated with the global risk of infection. Discontinuation of mycophenolic acid (MPA) due to neutropenia was associated with an increased incidence of acute rejection (odds ratios per day 1.11, 95% confidence intervals 1.02–1.22) but not with reduced renal function at 1 year. The time from onset of neutropenia to MPA discontinuation correlated with the duration of neutropenia. Granulocyte colony-stimulating factor (G-CSF) administration was safe and effective in severely neutropenic kidney graft recipients, with absolute neutrophil count >1000/μL achieved in a mean of 1.5 ± 0.5 days. Neutropenia is an important and frequent laboratory finding that may exert a significant influence on outcomes in kidney transplantation. As well as leading to an increased incidence of infection, it is associated with a higher rate of allograft rejection if MPA is discontinued for >6 days (p = 0.02). G-CSF accelerates recovery of neutropenia and may be a good therapeutic alternative for severely neutropenic patients.     

Prevalence and Treatment of New-Onset Diabetes Mellitus After Liver Transplantation in Korean Children: A Single-Center Study

The aim of this study was to investigate the prevalence, clinical characteristics, and management of new-onset diabetes mellitus (NODM) in Korean children with liver transplantation (LT). We retrospectively analyzed the medical records of 200 pediatric patients (5 months to 17 years old) who underwent LT at Asan Medical Center between January 1994 and December 2010; 26 pediatric patients who died at the maximal follow-up after LT or who were lost to follow-up were excluded from the study. Among these 174 children, NODM after LT developed in 18. The median interval time at the presentation of NODM after LT was 15 days (range, 1 day to 16.0 years), whereas the median patient age of NODM diagnosis was 10 years (range, 1.1 to 17.0 years). Insulin treatment with reduction in tacrolimus dosage, steroid tapering, and conversion from tacrolimus to cyclosporine with or without mycophenolate mofetil is highly effective in NODM after LT. In conclusion, careful diabetes mellitus monitoring and modification of immunosuppressive regimen should be required in pediatric patients after LT.     

Incidence of and Risk Factors for Posttransplant Diabetes Mellitus after Pancreas Transplantation

Posttransplant diabetes mellitus (PTDM) after pancreas transplantation (PTX) has not been extensively examined. This single center, retrospective analysis of 674 recipients from 1994 to 2005 examines the incidence of and risk factors for PTDM after PTX. PTDM was defined by fasting plasma glucose level ≥126 mg/dL, confirmed on a subsequent measurement or treatment with insulin or oral hypoglycemic agent for ≥30 days. The incidence of PTDM was 14%, 17% and 25% at 3, 5 and 10 years after PTX, respectively and was higher (p = 0.01) in solitary pancreas (PAN) versus simultaneous kidney pancreas (SPK) recipients (mean follow‐up 6.5 years). In multivariate analysis, factors associated with PTDM were: older donor age (hazard ratio [HR] 1.04, 95% confidence interval [CI] 1.03–1.06, p < 0.001), higher recipient body mass index (HR 1.07,CI 1.01–1.13, p = 0.01), donor positive/recipient negative CMV status (HR 1.65,CI 1.03–2.6, p = 0.04), posttransplant weight gain (HR 4.7,CI 1.95–11.1, p < 0.001), pancreas rejection (HR 1.94.CI 1.3–2.9, p < 0.001) and 6 month fasting glucose (HR 1.01,CI 1.01–1.02, p < 0.001), hemoglobin A₁c, (HR 1.12,CI 1.05–1.22, p = 0.002) and triglyceride to high‐density lipoprotein (TG/HDL) ratio (HR 0.94,CI 0.91–0.96, p < 0.001). This study delineates the incidence and identifies risk factors for PTDM after PTX.     

RIFLE Criteria for Acute Kidney Dysfunction Following Heart Transplantation: Incidence and Risk Factors

Background and PurposeThere are few data regarding the occurrence of (RIFLE)-based acute kidney dysfunction (AKD) after heart transplantation (HT) and its risk factors. The aim of this study was to apply RIFLE criteria in patients who developed AKD following HT to compare patients with and without AKD and to determine incidence and risk factors of AKD.Patients and MethodsWe retrospectively analyzed the records of 65 patients who underwent HT between 2003 and 2012. We investigated 3 levels of renal dysfunction outlined in RIFLE criteria: risk (R), injury (I), and failure (F). Appropriate class was assigned comparing baseline creatinine level to peak levels in the first 7 days after HT. Perioperative variables of heart transplant recipients were collected.ResultsThe mean age at transplantation was 32.8 ± 16.6 years with 72.7% males. The incidence of AKD was 61%, risk occured in 18%, injury in 16%, and failure in 27% of the patients. Patients who had AKD were significantly older (37.9 ± 15.6 vs 24.6 ± 15.0 years: P = .008), had higher body mass index (24.7 ± 6.7 vs 18.6 ± 4.3; P = .002), and more frequently had history of hypertension (92% vs 8%; P = .011) and smoking (100% vs 0%; P = .008) when compared with those who did not have AKD. When compared with patients who did not develop AKD postoperatively, preoperative higher creatinine levels (1.1 ± 0.3 vs 0.8 ± 0.4; P = .025), intraoperative higher mean arterial pressures (99.2 ± 14.1 vs 89.0 ± 11.4 mm Hg; P = .011), a higher frequency of intraoperative acidosis (81% vs 19%; P = .041), higher lactate levels (5.1 ± 3.8 vs 2.8 ± 1.7 mmol/L; P = .038), and postoperative more frequent use of cyclosporine (91% vs 9%; P = .025) were seen in those who developed AKD. Logistic regression analysis revealed that age (odds ratio [OR], 1.057; 95% confidence interval [CI], 1.010–1.106; P = .018) and use of cyclosporine (OR, 0.099; 95% CI, 0.010–0.935; P = .043) were independent risk factors for AKD.ConclusionsOur results suggest that based on RIFLE criteria, AKD occur in more than half of HTs postoperatively. Older age and use of cyclosporine are associated with AKD following HT.     

Diabetes Mellitus: A Risk Factor for Delayed Graft Function after Deceased Donor Kidney Transplantation

Early graft function is a major determinant of long‐term outcomes after renal transplantation. Recently, recipient diabetes was identified as a risk factor for poor initial graft function in living donor renal transplantation. To further explore this association, we performed a paired analysis of deceased donor renal transplants from January 1994 to December 2005. A total of 25,523 transplant pairs were analyzed via conditional logistic regression. Diabetic recipients were older (53.16 vs. 46.75 years, p < 0.01), had a lower average panel reactive antibody (12% vs. 15%, p < 0.01) and fewer prior transplants (0.07 vs. 0.12, p < 0.01). Recipient diabetes, age, male gender, African American race, elevated peak panel reactive antibody and increased cold ischemia time were independent risk factors for delayed graft function. Specifically, diabetic recipients had increased risk of DGF on univariate analysis (odds ratio [OR] 1.32, 95% confidence interval [CI] 1.23–1.42, p < 0.01). Multivariable analysis confirmed this association but the risk differed by recipient gender; with diabetes having a greater effect in women (OR 1.66, 95% CI 1.45–1.91, p < 0.01) compared to men (OR 1.28, 95% CI 1.15–1.43, p < 0.01). It is unknown whether the deleterious impact of recipient diabetes on graft function after renal transplantation results from perioperative hyperglycemia or the chronic sequelae of diabetes.     

Posttransplant Diabetes Mellitus: Incidence and Risk Factors

Objective

Posttransplant diabetes mellitus (PTDM) is a common and serious complication of renal transplantation. Estimates of the incidence of PTDM after renal transplantation vary between 2% and 54%. The aim of the present study was to evaluate the incidence and risk factors for PTDM among our renal transplant patients.

Patients and Methods

In this study we evaluated 121 nondiabetic patients with end-stage renal disease (ESRD) who underwent kidney transplantation for the first time at our centers since 2005. All patients received the same protocol of immunosuppressive therapy. PTDM was defined according to the clinical practice recommendations of the American Diabetes Association.

Results

At 12 months following renal transplantation, 9.9% of patients developed PTDM. Patients with PTDM were significantly older (P = .013) and had higher body mass index (P = .001). There were significant differences (P ≤ .05) between PTDM and non-PTDM patients with respect to systolic blood pressure, serum triglycerides (TG), peritoneal dialysis as renal replacement therapy before transplantation, and duration of pretransplant dialysis therapy. Upon multivariate analysis, serum TG, systolic blood pressure, and body mass index were associated with PTDM (P ≤ .05).

Conclusions

The incidence at 12 months of PTDM among our renal transplant recipients was 9.9%. The most important factors associated with PTDM were serum TG, systolic blood pressure, and body mass index.     

Association of Clinical Risk Factors with Functional Status Following Lung Transplantation

A fundamental goal of lung transplantation is the regaining of functional capacity, yet little is known about what factors are associated with the achievement of this goal. The aim of this study is to test the association of clinical risk factors with functional status 1 year following lung transplantation. We conducted a cohort study of 321 lung transplants and assessed functionality by the distance achieved during a standard 6-min walk test (6MWT). Preoperative recipient risk factors were evaluated for association with functional status and adjusted for confounding using multivariable linear regression models. In these multivariable analyses, recipient female gender (p<0.001), recipient pretransplant body mass index (BMI) of greater than 27 kg/m2 (p=0.017) and shorter pretransplant 6MWT distances (p=0.006) were independently associated with shorter distances achieved during 6MWT after lung transplant, while cystic fibrosis (CF) (p=0.003), and bilateral lung transplant (p=0.014) were independently associated with longer distances achieved. Approximately 51% of the variance in 6MWT distance was explained by these risk factors in the linear regression models (R2=0.51). These findings may have implications in patient counseling, selection, procedure choice, and may lead to interventions aimed at improving the functional outcomes of lung transplantation.