The role of CT-scan assessment of muscle mass in predicting postoperative surgical complications after renal transplantation.

PURPOSE: Despite a high rate of undernutrition in renal transplantation recipients, prognostic value of sarcopenia remains unclear. We evaluated the relation between sarcopenia and post-operative outcomes after renal transplantation. METHODS: During 7 years, each patient who underwent renal transplantation was retrospectively included. Patients with no recent pre-operative CT-scan were excluded. Sarcopenia was evaluated by measuring the muscle surface area on CT-scan section passing through the third lumbar vertebra. Main outcomes were post-operative complications at 1 month and 1 year according to the Clavien-Dindo classification. RESULTS: Overall, 102 patients were included. One month of complication rate was 63.9%. At 1 year, 60.8% experienced at least one medical complication and 29.4% one surgical complication. At 1 year post transplantation, low muscle density on CT scan was a surgical complication risk factor (OR = 0.6, 95% CI = [0.3-0.9], p = 0.05). The area under the curve of a 1-year complication predictive model including muscle density was 0.64. We did not observe significant relationship between CT-scan sarcopenia indicator and 1-month post-transplantation complication. CONCLUSION: Although no clear link between sarcopenia and complications was exhibited in our study, low CT-scan muscle density was associated with 1-year surgical complications. The role of muscle density and its relation with sarcopenia and post-transplantation outcomes should be further explored.

Day and night changes in energy expenditure of patients on automated peritoneal dialysis.

RATIONALE: Automated peritoneal dialysis (APD) treatment for end-stage kidney disease affords patients a degree of autonomy in everyday life. Clinical investigations of their energy expenditure (EE) are usually based on resting EE, which could mask day and night variations in EE. The aim of this study, therefore, was to compare the components of EE in APD patients and healthy control (C) subjects. MATERIAL AND METHOD: Patients treated with APD for more than 3 months were compared with C volunteers matched for age and lean body mass (LBM). Biochemical analyses were performed and body composition was determined by DEXA to adjust EE to LBM. Total EE, its different components and respiratory quotients (RQ) were measured by a gas exchange method in calorimetric chambers. Spontaneous total and activity-related EE (AEE) were also measured in free-living conditions over 4 days by a calibrated accelerometer and a heart rate monitor. RESULTS: APD (n = 7) and C (n = 7) patients did not differ in age and body composition. REE did not differ between the two groups. However, prandial increase in EE adjusted for dietary energy intake was higher in APD patients (+57.5 ± 12.71 kcal/h) than in C subjects (+33.8 ± 10.5 kcal/h, p = 0.003) and nocturnal decrease in EE tended to be lower in APD patients undergoing dialysis sessions (- 4.53 ± 8.37 kcal/h) than in subjects (- 11.8 ± 7.69 kcal/h, p = 0.059). Resting RQ (0.91 ± 0.09 vs 0.81 ± 0.04, p = 0.032) and nocturnal RQ (0.91 ± 0.09 vs 0.81 ± 0.04, p = 0.032) were significantly higher in APD patients, indicating a preferential use of glucose substrate potentially absorbed across the peritoneum. AEE was lower in APD patients (595.9 ± 383.2 kcal/d) than in C subjects (1205.2 ± 370.5 kcal/d, p = 0.011). In contrast, energy intakes were not significantly different (1986 ± 465 vs 2083 ± 377 kcal/d, p = 0.677). CONCLUSION: Although the two groups had identical resting EE, APD patients had a higher prandial increase in EE, a lower activity-related EE and higher resting and nocturnal RQ than healthy subjects.

Energy expenditure, spontaneous physical activity and with weight gain in kidney transplant recipients.

BACKGROUND & AIMS: Alterations in energy metabolism could trigger weight gain after renal transplantation. METHODS: Nineteen transplanted non-diabetic men, 53 ± 1.6 years old, receiving calcineurin inhibitors but no corticosteroids were studied. They were compared with nine healthy men matched for height, age and lean body mass. Daily energy expenditure and its components (sleeping, basal and absorptive metabolic rates) were analyzed for 24 h in calorimetric chambers and for 4 days in free living conditions using calibrated accelerometry. Other variables known to influence energy expenditure were assessed: body composition, physical activity, 4-day food intake, drug consumption, serum C-reactive protein, interleukin-6, thyroid and parathyroid hormones, and epinephrine. Transplant recipients who gained more than 5% body weight after transplantation (n = 11, +11.0 ± 1.5 kg) were compared with those who did not (n = 8) and with the controls. RESULTS: Weight gain compared with non-weight gain patients and controls exhibited higher fat mass without change in lean body mass. Daily, sleeping and resting energy expenditure adjusted for lean body mass was significantly higher in non-weight gain (167.1 ± 4.2 kJ/kg/lean body mass/24 h, P < 0.05) compared with weight gain patients (147.4 ± 3.6) and controls (146.1 ± 4.6). Weight gain compared with controls and non-weight gain subjects had lower free living physical activity and a higher consumption of antihypertensive drugs and ß-blockers. CONCLUSIONS: After kidney transplantation, weight gain patients were characterized by lower adjusted energy expenditure, reduced spontaneous physical activity but a more sedentary life style and a trend toward a higher energy intake explaining the reason they gained weight. The nWG KTR had increased resting and sleeping EE which protected them from weight gain. Such hypermetabolism was also observed in 24-h EE measurements. By comparison with the nWG patients, the WG transplant recipients were characterized by higher ß-blocker consumption. These data could be helpful in the prevention of weight gain in kidney transplant recipients.

Anemia normalization in patients with type 2 diabetes and chronic kidney disease: results of the NEPHRODIAB2 randomized trial.

STATEMENTS OF THE PROBLEM: Correction of anemia in type 2 diabetes (T2DM) patients with chronic kidney disease stages 3-4 may slow the decline of kidney function but may increase cardiovascular risk through higher hematocrit. The NEPHRODIAB2 study was designed to assess efficacy and safety of complete hemoglobin (Hb) normalization in these patients. METHODS: We randomly assigned 89 T2DM patients with an estimated glomerular filtration rate (eGFR; abbreviated 175 Modification of Diet in Renal Disease formula) of 25 to 60 ml/min per 1.73 m(2) and moderate anemia (Hb, 100-129 g/l) to a target Hb value in subnormal range (110-129g/l, group 1, n=43) or normal range (130-149 g/l, group 2, n=46). The primary end point was eGFR decline after 2 years of follow-up. Secondary end points included iron and erythropoietin dosage, quality of life (Medical Outcomes Study 36-item Short-Form Health Survey scores) and adverse events. RESULTS: Six months after randomization, the mean Hb levels were <120 g/l in group 1 and >130 g/l in group 2 (P<.05 at 6, 12, 18 and 24 months). Blood pressure, 24-h proteinuria and HbA1c did not differ during follow-up (P>.05). Two-year declines in eGFR were -8.7±12.2 in group 1 and -5.1±7.8 ml/min per 1.73 m(2) in group 2 (P=.29). Mean weekly use of erythropoietin was 7.8±11.6 µg in group 1 and 30.1±33.6 µg in group 2 (P<.0001). There was no significant difference regarding Medical Outcomes Study 36-item Short-Form Health Survey score change or adverse event occurrence. CONCLUSIONS: In this trial, normalization of Hb level in T2DM patients with chronic kidney disease was safe but did not significantly slow renal function decline and increased treatment cost due to erythropoietin use.

Clinical features and outcome of chronic dialysis patients admitted to an intensive care unit.

BACKGROUND: Information about chronic dialysis (CD) patients admitted to intensive care units (ICU) is scant. This study sought to determine the epidemiology and outcome of CD patients in an ICU setting and to test the performance of the Simplified Acute Physiology Score (SAPS II) to predict hospital mortality in this population. METHODS: All consecutive CD patients admitted to an adult, 10 bed medical/surgical ICU at a university hospital between January 1996 and December 1999 were included in this prospective observational study. Demographics, characteristics of the underlying renal disease, admission diagnosis, the number of organ system failures (OSFs) excluding renal failure and SAPS II, both calculated 24 h after admission, the duration of mechanical ventilation, ICU survival and survival status at hospital discharge and 6 months after discharge were recorded. RESULTS: A total of 92 CD patients, 16 on peritoneal dialysis and 76 on haemodialysis, were included. The main reason for ICU admission was sepsis and the mean ICU length of stay 6.2+/-9.9 days. ICU mortality was 26/92 (28.3%) and was associated in multivariate analysis with SAPS II (P<0.001), duration of mechanical ventilation (P<0.01) and abnormal values of serum phosphorus (high or low; P<0.05). Hospital mortality was 35/92 (38.0%) and was accurately predicted by SAPS II [receiver operating characteristics curve: 0.86+/-0.04; goodness-of-fit test: C = 6.86, 5 degrees of freedom (df), P = 0.23 and H = 4.78, 5 df, P = 0.44]. The 6 month survival rate was 48/92 (52.2%). CONCLUSIONS: CD patients admitted to the ICU are a subgroup of patients with high mortality and SAPS II can be used to assess their probability of hospital mortality. The severity of the acute illness responsible for ICU admission and an abnormal value of serum phosphorus are determinants for ICU mortality.