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1.
Surgery ; 156(6): 1631-6; discussion 1636-7, 2014 Dec.
Article in English | MEDLINE | ID: mdl-25456966

ABSTRACT

BACKGROUND: Tertiary hyperparathyroidism (3°HPT) is hyperparathyroidism with hypercalcemia after renal transplantation. With unclear guidelines for parathyroidectomy (PTX), this study aims to determine which renal transplant patients develop 3°HPT and would benefit from PTX. METHODS: We performed a retrospective review of patients who received a renal transplant between 1994 and 2013; 105 patients who underwent near total PTX (NTPTX) were compared with 180 renal transplant control patients who did not undergo NTPTX. RESULTS: Calcium and PTH varied significantly between groups (P < .001). One year before transplant, the mean serum calcium was 9.7 ± 1.1 mg/dL in the NTPTX group versus 9.1 ± 0.9 mg/dL in the control group (P < .01). One month after transplant, the mean calcium in the NTPTX group was 10.4 ± 1.1 versus 9.4 ± 0.6 mg/dL in the control group (P < .001). One year before renal transplant, the median serum PTH level was 723 pg/mL (range, 557-919) in the NTPTX group versus 212 pg/mL (range, 160-439) in the control group (P < .01). One-month post renal transplant, the NTPTX group had a median PTH of 351 pg/mL (range, 199-497) versus 112 pg/mL (range, 73-178) pg/mL in the control group (P < .01). CONCLUSION: Before and after renal transplantation, PTH and calcium levels can serve as predictors of 3°HPT.


Subject(s)
Hypercalcemia/complications , Hyperparathyroidism, Secondary/complications , Hyperparathyroidism, Secondary/surgery , Kidney Transplantation/methods , Parathyroidectomy/methods , Adult , Aged , Calcium/blood , Case-Control Studies , Databases, Factual , Female , Follow-Up Studies , Humans , Hypercalcemia/diagnosis , Hyperparathyroidism, Secondary/diagnosis , Kidney Transplantation/adverse effects , Male , Middle Aged , Parathyroid Hormone/blood , Patient Selection , Postoperative Care , Predictive Value of Tests , Reference Values , Retrospective Studies , Risk Assessment , Time Factors , Treatment Outcome
2.
J Am Soc Nephrol ; 23(5): 885-94, 2012 May.
Article in English | MEDLINE | ID: mdl-22383694

ABSTRACT

The effect of CKD on the risks of bariatric surgery is not well understood. Using the American College of Surgeons National Surgical Quality Improvement Program Participant Use File, we analyzed 27,736 patients who underwent bariatric surgery from 2006 through 2008. Before surgery, 34 (0.12%) patients were undergoing long-term dialysis. Among those not undergoing dialysis, 20,806 patients (75.0%) had a normal estimated GFR or stage 1 CKD, 5011 (18.07%) had stage 2 CKD, 1734 (6.25%) had stage 3 CKD, 94 (0.34%) had stage 4 CKD, and 91 (0.33%) had stage 5 CKD. In an unadjusted analysis, CKD stage was directly associated with complication rate, ranging from 4.6% for those with stage 1 CKD or normal estimated GFR to 9.9% for those with stage 5 CKD (test for trend, P<0.001). Multivariable logistic regression demonstrated that CKD stage predicts higher complication rates (odds ratio for each higher CKD stage, 1.30) after adjustment for diabetes and hypertension. Although patients with higher CKD stage had higher complication rates, the absolute incidence of complications remained <10%. In conclusion, these data demonstrate higher risks of bariatric surgery among patients with worse renal function, but whether the potential benefits outweigh the risks in this population requires further study.


Subject(s)
Bariatric Surgery/adverse effects , Kidney Diseases/complications , Postoperative Complications/epidemiology , Adult , Bariatric Surgery/mortality , Body Mass Index , Chronic Disease , Creatinine/blood , Female , Glomerular Filtration Rate , Humans , Kidney Diseases/physiopathology , Logistic Models , Male , Middle Aged , Obesity/physiopathology
3.
J Magn Reson Imaging ; 26(5): 1198-203, 2007 Nov.
Article in English | MEDLINE | ID: mdl-17969162

ABSTRACT

PURPOSE: To retrospectively analyze nephrogenic systemic fibrosis (NSF) cases at our center, to determine prior gadolinium based contrast agent (GBCA) administration and to evaluate possible common risk factors for the development of NSF by reviewing laboratory data and concurrent medications. MATERIALS AND METHODS: A total of four data bases (pathology, MRI, dialysis, and medical records) were cross-referenced for identification and evaluation of NSF patients. Medical history of NSF patients was assessed as for previous deep venous thrombosis (DVT), surgery, or infections. Laboratory data (creatinine, anion gap, calcium, phosphorus, and albumin) as well as concurrent medication were evaluated. Findings were compared to those of a control group of non-NSF dialysis patients. RESULTS: Between October 2003 and February 2007 a total of nine NSF cases were identified. All patients had undergone contrast-enhanced MRI prior to the diagnosis of NSF. Only one gadolinium chelate had been used at our MRI center (Omniscan, gadodiamide; GE Healthcare). Of nine patients, eight were receiving dialysis at the time of the MRI scan. During the same time 312 dialysis patients received gadodiamide. Thus, the prevalence of NSF within dialysis patients exposed to gadodiamide was 2.6%. NSF patients presented with a higher creatinine and anion gap than the control patients. Other laboratory values as well as medication did not show a significant difference. There were no patterns regarding previous history of DVT, surgery, or infection in the NSF group. CONCLUSION: Our findings are consistent with the previously reported association between gadodiamide exposure and NSF. All NSF patients had severe renal insufficiency with glomerular filtration rate (GFR) < 30 (highest GFR = 25 mL/minute) at the time of last gadodiamide administration, and on average had received 71 mL of gadodiamide over an average of 2.9 administrations.


Subject(s)
Gadolinium , Magnetic Resonance Imaging/statistics & numerical data , Renal Insufficiency/epidemiology , Risk Assessment/methods , Skin Diseases/epidemiology , Adolescent , Adult , Aged , Cohort Studies , Comorbidity , Contrast Media , Female , Fibrosis , Humans , Incidence , Male , Middle Aged , Risk Factors
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