A "crush" course on rhabdomyolysis: risk stratification and clinical management update for the perioperative clinician.

Rhabdomyolysis, the release of myoglobin and other cellular breakdown products from necrotic muscle tissue, is seen in patients with crush injuries, drug overdose, malignant hyperthermia, muscular dystrophy, and with increasing frequency in obese patients undergoing routine procedures. For the perioperative clinician, managing the resultant shock, hyperkalemia, acidosis, and myoglobinuric acute kidney injury can present a significant challenge. Prompt recognition, hydration, and correction of metabolic disturbances may reduce or eliminate the need for long-term renal replacement therapy. This article reviews the pathophysiology and discusses key issues in the perioperative diagnosis, risk stratification, and management of rhabdomyolysis.

Morphometric age and survival following kidney transplantation.

BACKGROUND: As patients with chronic kidney disease become older, there is greater need to identify who will most benefit from kidney transplantation. Analytic morphomics has emerged as an objective risk assessment tool distinct from chronologic age. We hypothesize that morphometric age is a significant predictor of survival following transplantation. METHODS: A retrospective cohort of 158 kidney transplant patients from 2005 to 2014 with 1-year preoperative imaging was identified. Based on a control population comprising of trauma patients and kidney donors, morphometric age was calculated using the validated characteristics of psoas area, psoas density, and abdominal aortic calcification. The primary outcome was post-transplant survival. RESULTS: Cox regression showed morphometric age was a significant predictor of survival (hazard ratio, 1.06 per morphometric year [95% confidence interval, 1.03-1.08]; P < .001). Chronological age was not significant (hazard ratio, 1.03 per year [0.98-1.07]; P = .22). Among the chronologically oldest patients, those with younger morphometric age had greater survival rates compared to those with older morphometric age. CONCLUSIONS: Morphometric age predicts survival following kidney transplantation. Particularly for older patients, it offers improved risk stratification compared to chronologic age. Morphomics may improve the transplant selection process and provide a greater assessment of prospective survival benefits.

Using analytic morphomics to describe body composition associated with post-kidney transplantation diabetes mellitus.

BACKGROUND: Better risk assessment tools are needed to predict post-transplantation diabetes mellitus (PTDM). Using analytic morphomic measurements from computed tomography (CT) scans, we aimed to identify specific measures of body composition associated with PTDM. METHODS: We retrospectively reviewed 99 non-diabetic kidney transplant recipients who received pre-transplant CT scans at a single institution between 1/2005 and 5/2014. Analytic morphomic techniques were used to measure abdominal adiposity, abdominal size, and psoas muscle area and density, standardized by gender. We measured the associations of these morphomic factors with PTDM. RESULTS: One-year incidence of PTDM was 18%. The morphomic factors significantly associated with PTDM included visceral fat area (OR=1.84 per standard deviation increase, P=.020), body depth (OR=1.79, P=.035), and total body area (OR=1.67, P=.049). Clinical factors significantly associated with PTDM included African American race (OR=3.01, P=.044), hypertension (OR=2.97, P=.041), and dialysis vintage (OR=1.24 per year on dialysis, P=.048). Body mass index was not associated with PTDM (OR=1.05, P=.188). On multivariate modeling, visceral fat area was an independent predictor of PTDM (OR=1.91, P=.035). CONCLUSIONS: Analytic morphomics can identify pre-transplant measurements of body composition that are predictive of PTDM in kidney transplant recipients. Pre-transplant imaging contains a wealth of underutilized data that may inform PTDM prevention strategies.

Utility of mammography for chronic kidney disease patients undergoing kidney transplant evaluation.

UNLABELLED: Transplant centers typically require screening mammography (MMG) for women ≥40 during evaluation. American Cancer Society recommends starting annual MMG at 40, while USPSTF recommends biennial MMG at 50. We sought to determine the effect of age and other breast malignancy risk factors on screening MMG in the pre-transplant renal failure population undergoing transplant evaluation. METHODS: We retrospectively examined women ≥40 undergoing kidney transplant evaluation from 2006 to 2012 (n = 541). RESULTS: Patients aged 40.0-49.9 and ≥50 had similar rates of breast biopsy and breast malignancy. African Americans underwent a higher rate of biopsies (OR 2.391, 95%CI 1.111-5.019, p = 0.026), with a lower rate of biopsy in those already on dialysis at presentation (OR 0.434, 95%CI 0.212-0.888, p = 0.022). Higher breast density (>50% fibroglandular tissue) increased both rate of biopsy (OR 2.876, 95%CI 1.377-6.010, p = 0.005) and malignancy (OR 5.061, 95%CI 1.012-25.315, p = 0.048). CONCLUSIONS: As we found no independent differences in biopsy or malignancy between age groups, it is reasonable for transplant centers to use the same evaluation MMG screening policy for all women ≥40. However, as malignancy risk increased with higher breast density, a lower threshold for additional workup may be warranted in patients with dense breasts or an indeterminate lesion on MMG.

Risk Factors for Abnormal Cervical Cytology in Women Undergoing Kidney Transplant Evaluation.

OBJECTIVES: Cervical cytology screening has been successful in reducing deaths from cervical cancer. We sought to determine risk factors for abnormal Pap test results in women undergoing kidney transplant evaluation. MATERILAS AND METHODS: We retrospectively examined women undergoing kidney transplant evaluations from 2008 to 2011. Patients were stratified based on normal cytology and atypical/malignant cytology. RESULTS: Of 404 patients, 293 patients (72.5%) had normal cytologic findings, whereas 111 (27.5%) had abnormal findings. On univariate logistic regression analyses, patients who had chronic kidney disease with an autoimmune cause (odds ratio = 2.71 [95% confidence interval, 1.41-5.19]; P = .003), previous renal transplants (odds ratio = 2.64 [95% confidence interval, 1.20-5.82], P = .016), or age ≤ 50 years (odds ratio = 1.68 [95% confidence interval, 1.08-2.61], P = .022) were more likely to have abnormal findings. Patients with normal and abnormal findings had similar rates of dialysis use. On multivariate logistic regression, patients who had chronic kidney disease with autoimmune causes (odds ratio = 2.48 [95% confidence interval, 1.26-4.88]; P = .008) and who had previous renal transplants (odds ratio = 2.67 [95% confidence interval, 1.20-5.95]; P = .017) were more likely to have abnormal findings. CONCLUSIONS: Previous kidney transplant, autoimmune disease, and age ≤ 50 years were associated with abnormalities on cervical cancer screening in our female group of patients. Patients with these characteristics may benefit more from routine cervical cancer screening than other patients evaluated for kidney transplant.

Outcome differences between young children and adolescents undergoing kidney transplantation.

BACKGROUND/PURPOSE: Although graft loss remains the biggest challenge for all pediatric kidney transplant (KT) recipients, unique challenges exist within different age groups. We aim to evaluate the different characteristics and graft survival outcomes of young children and adolescents undergoing KT. METHODS: Children who underwent isolated KT between 2000 and 2013 at our institution were included in this retrospective analysis. Patient characteristics and outcomes were compared using student's t-test, chi-square test, Kaplan-Meier curve and Cox proportional hazards model. RESULTS: Of 73 children who underwent KT, 31 were <12 (young children), and 42 were ≥ 12 years old (adolescents). Overall patient survival was 100%. The younger group had superior 5-year (100% vs. 75.5%) and 10-year (94.4% vs. 43.8%) graft survival (p=0.008). Factors predictive of poor graft survival on multivariate analysis were older age at transplantation (HR 1.2, CI 1-1.4, p=0.047), female gender (HR 9.0, CI 1.9-43, p=0.006), and acute rejection episodes (HR 13, CI 2-90, p=0.008). The most common causes of graft loss were acute and chronic rejection episodes and immunosuppression nonadherence. CONCLUSION: Adolescents undergoing KT have inferior graft survival compared to younger children. In adjusted modeling, children with older age, female gender, and acute rejection episodes have inferior graft survival.