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July 2016
Orit Erman MD, Arie Erman PhD, Alina Vodonos MPH, Uzi Gafter MD PhD and David J. van Dijk MD

Background: Proteinuria and albuminuria are markers of kidney injury and function, serving as a screening test as well as a means of assessing the degree of kidney injury and risk for cardiovascular disease and death in both the diabetic and the non-diabetic general population.

Objectives: To evaluate the association between proteinuria below 300 mg/24 hours and albuminuria, as well as a possible association with kidney function in patients with diabetes mellitus (DM).

Methods: The medical files of patients with type 1 and type 2 DM with proteinuria below 300 mg/24 hours at three different visits to the Diabetic Nephropathy Clinic were screened. This involved 245 patient files and 723 visits. The data collected included demographics; protein, albumin and creatinine levels in urine collections; blood biochemistry; and clinical and treatment data. 

Results: The association between proteinuria and albuminuria is non-linear. However, proteinuria in the range of 162–300 mg/24 hours was found to be linearly and significantly correlated to albuminuria (P < 0.001, r = 0.58). Proteinuria cutoff, based on albuminuria cutoff of 30 mg/24 hours, was found to be 160.5 mg/24 hr. Body mass index (BMI) was the sole independent predictor of proteinuria above 160.5 mg/24 hr. Changes in albuminuria, but not proteinuria, were associated with changes in creatinine clearance. 

Conclusions: A new cutoff value of 160.5 mg/hr was set empirically, for the first time, for abnormal proteinuria in diabetic patients. It appears that proteinuria below 300 mg/24 hr is not sufficient as a sole prognostic factor for kidney failure. 

 

February 2000
Jacob Bar MD, Raoul Orvieto MD, Yosef Shalev MD, Yoav Peled MD, Yosef Pardo MD, Uzi Gafter MD, Zion Ben-Rafael MD, Ronny Chen MD and Moshe Hod MD

Background: The preconception and intraconception parameters that are relevant to outcome in women with underlying renal disease remain controversial.  

Objectives: To analyze the types and frequencies of short- and long-term (2 years after delivery) maternal and neonatal complications in 38 patients with primary renal disease (46 pregnancies), most of them with mild renal insufficiency.  

Methods: Logistic regression models were formulated to predict successful outcome.  

Results: Successful pregnancy outcome (live, healthy infant without severe handicap 2 years after delivery) was observed in 98% of the patients with primary renal disease. Factors found to be significantly predictive of successful outcome were absence of pre-existing hypertension, in addition to low preconception serum uric acid level.

Conclusions: Most women with primary renal disease who receive proper prenatal care have a successful pregnancy outcome. Worse pregnancy outcome was observed in women with moderate or severe renal failure. Fitted logistic models may provide useful guidelines for counseling women with preexisting renal disease about their prospects for a successful pregnancy in terms of immediate and long-term maternal and neonatal outcome.
 

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