Background: Trilostane is a recognized treatment for canine pituitary-dependent hyperadrenocorticism (PDH); however, its efficacy in dogs with adrenal-dependent hyperadrenocorticism (ADH) is unknown.Objectives: To examine factors that might influence survival in the medical management of ADH, with particular emphasis on treatment selection.Animals: Thirty-seven animals referred to 4 centers over a period of 12 years that had been diagnosed with ADH and treated with either trilostane (22/37), mitotane (13/37), or both (2/37).Methods: Retrospective analysis of clinical records.Results: There was no statistically significant difference between the survival times of 13 dogs treated only with mitotane when compared with 22 dogs treated only with trilostane. The median survival time for animals treated with trilostane was 353 days (95% confidence interval [CI] 95-528 days), whereas it was 102 days (95% CI 43-277 days) for mitotane. Metastatic disease was detected in 8 of 37 dogs. There was a significantly lower probability of survival for dogs with metastatic disease when compared with those without metastatic disease (P o .001).Conclusions and Clinical Importance: The choice of medical treatment for ADH may not have a major effect on survival times. However, the presence of metastatic disease considerably decreases survival time regardless of the choice of medical treatment.
Interstitial immune complex nephritis in patients with systemic lupus erythematosus (SLE). Renal tissues from 45 patients with SLE nephritis, 34 patients with idiopathic membranous nephropathy (IMN) and 77 patients with minimal glomerular disease (MGD) were studied by light, immunofluorescence and electron microscopy. Interstitial nephritis characterized by focal or diffuse infiltration of inflammatory cells, tubular damage and interstitial fibrosis was observed in 66% of SLE patients. Fluorescein-conjugated antibodies to immunoglobulins or complement or both were bound to peritubular capillaries, interstitium and tubular basement membranes (TBM) in 53% of patients with a granular pattern corresponding to opaque deposits seen by light or electron microscopy or both. Antibodies reactive with thymidine or cytosine or both were bound to interstitial structures in 19% of patients tested and showed the same granular distribution. Interstitial cellular infiltration was rare and deposits of immunoglobulins and complement were rare or absent in IMN and MGD, whereas deposits of DNA products were never observed. The findings are consistent with the interpretation that in patients with SLE nephritis immune deposits, presumably containing DNA-anti-DNA complexes, localize in peritublular capillaries, TBM and interstitum, thereby producing an inflammatory reaction which contributes to development and evolution of renal diseases.
Radioimmunoassayed serum concentration and urinary excretion data for digoxin from azotemic patients were characterized using a 2-compartment open model. Urinary excretion rates of digoxin as well as serum concentration data are needed to accurately characterize the disposition of the drug. Seven patients with renal failure showed highly variable steady-state volumes of distribution (V-ss-D equals 195 to 489 liters/1.73 m-minus2) and t1/2beta values (1.5 to 5.2 days). This variability is a major limiting factor in the use of dosage regimen nomograms that assume a constant V-ss-D and a rigorous relationship between t1/2beta and creatinine clearance (Cl-CR). Body clearance (Cl-B) is a parameter that is affected by both elimination and distribution of drugs. A linear relationship between Cl-B and renal clearance of digoxin or Cl-CR was found and was used to develop a model-independent approach to calculation of maintenance doses of digoxin. Several methods for calculating steady-state serum concentrations of digoxin (C-ss-p) were compared with actual measurements obtained in 16 chronically medicated patients. Optimum computation of C-ss-p is obtained by use of digoxin renal and body clearances. Variability in the digoxin:creatinine renal clearance ratio is the major limiting factor in prediction of digoxin dosage regimens.
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