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1.
J Bone Miner Metab ; 39(2): 260-269, 2021 Mar.
Article in English | MEDLINE | ID: mdl-32888063

ABSTRACT

INTRODUCTION: Bone loss in end stage renal disease (ESRD) patients associates with fractures, vascular calcification, cardiovascular disease (CVD) and increased mortality. We investigated factors associated with changes of bone mineral density (ΔBMD) during the initial year on dialysis therapy and associations of ΔBMD with subsequent mortality in ESRD patients initiating dialysis. MATERIALS AND METHODS: In 242 ESRD patients (median age 55 years, 61% men) starting dialysis with peritoneal dialysis (PD; n = 138) or hemodialysis (HD; n = 104), whole-body dual-energy X-ray absorptiometry (DXA), body composition, nutritional status and circulating biomarkers were assessed at baseline and 1 year after dialysis start. We used multivariate linear regression analysis to determine factors associated with ΔBMD, and fine and gray competing risk analysis to determine associations of ΔBMD with subsequent mortality risk. RESULTS: BMD decreased significantly in HD patients (significant reductions of BMDtotal and BMDleg, trunk, rib, pelvis and spine) but not in PD patients. HD compared to PD therapy associated with negative changes in BMDtotal (ß=- 0.15), BMDhead (ß=- 0.14), BMDleg (ß=- 0.18) and BMDtrunk (ß=- 0.16). Better preservation of BMD associated with significantly lower all-cause mortality for ΔBMDtotal (sub-hazard ratio, sHR, 0.91), ΔBMDhead (sHR 0.91) and ΔBMDleg (sHR 0.92), while only ΔBMDhead (sHR 0.92) had a beneficial effect on CVD-mortality. CONCLUSIONS: PD had beneficial effect compared with HD on BMD changes during first year of dialysis therapy. Better preservation of BMD, especially in bone sites rich in cortical bone, associated with lower subsequent mortality. BMD in cortical bone may have stronger association with clinical outcome than BMD in trabecular bone.


Subject(s)
Bone Density , Peritoneal Dialysis/mortality , Renal Dialysis/mortality , Absorptiometry, Photon , Body Composition , Body Mass Index , Cardiovascular Diseases/complications , Female , Hand Strength , Humans , Kidney Failure, Chronic/complications , Kidney Failure, Chronic/diagnostic imaging , Kidney Failure, Chronic/physiopathology , Male , Middle Aged , Multivariate Analysis , Regression Analysis , Risk Assessment
2.
J Clin Endocrinol Metab ; 99(10): E1870-6, 2014 Oct.
Article in English | MEDLINE | ID: mdl-24937536

ABSTRACT

OBJECTIVE: White adipose tissue can expand by increasing the size and/or number of fat cells. Although increased sc and visceral fat cell size associates with an adverse metabolic profile, the relationship with fat cell number in either depot is unknown. We hypothesized that adipocyte number and size displayed different relationships with clinically relevant metabolic variables. METHODS: This was a cross-sectional study of 204 patients scheduled for gastric bypass surgery. Fat cell size and number were determined in visceral and abdominal sc adipose tissue and related to insulin sensitivity (by hyperinsulinemic euglycemic clamp), fasting plasma levels of insulin, triglycerides and high-density lipoprotein (HDL) cholesterol. RESULTS: Visceral and sc fat cell volumes were positively correlated with insulin and triglyceride levels and negatively with insulin sensitivity and HDL-cholesterol (P = .0020 or better). In contrast, although visceral fat cell number did not associate with any metabolic parameter, sc adipocyte number displayed a positive association with insulin sensitivity and HDL-cholesterol and a negative relationship with insulin and triglyceride levels (P = .0014 or better). All results were independent of body fat mass. CONCLUSIONS: Variations in fat cell size and number correlate differently with metabolic parameters in obesity. Increased fat cell size in visceral and sc depots associates with a pernicious metabolic profile, whereas increased sc, but not visceral, fat cell number correlates with a more beneficial phenotype. Whether determination of sc fat cell number, in addition to adipocyte size, may have a predictive value for the risk of type 2 diabetes needs to be demonstrated in prospective or mechanistic studies.


Subject(s)
Adipocytes/metabolism , Diabetes Mellitus, Type 2/metabolism , Intra-Abdominal Fat/metabolism , Obesity, Morbid/metabolism , Subcutaneous Fat/metabolism , Adipocytes/pathology , Adolescent , Adult , Cell Size , Cholesterol, HDL/blood , Cross-Sectional Studies , Diabetes Mellitus, Type 2/pathology , Female , Glucose Clamp Technique , Humans , Insulin/blood , Insulin Resistance/physiology , Intra-Abdominal Fat/pathology , Male , Middle Aged , Obesity, Morbid/pathology , Obesity, Morbid/surgery , Omentum/metabolism , Omentum/pathology , Preoperative Period , Subcutaneous Fat/pathology , Triglycerides/blood , Young Adult
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