This animal model demonstrates that an increase in lysosomal turnover and hence urine NAG activity, occurs when increased protein is presented to the tubular cells. Urine NAG activity is thus a measure of altered function in the renal tubules and not simply an indicator of damage.

Both tobramycin and colistin cause acute renal tubular injury with a significant rise in urinary NAG excretion. Patients with CFRD seem to be at greatest risk of renal tubular damage. Cumulative damage is evident with repeated dosing. Previous exposure to nephrotoxic antibiotics, especially colistin, is associated with elevated baseline NAG levels. We recommend that colistin is reserved for patients with resistant Pseudomonas aeruginosa or those who are intolerant to tobramycin. Serial longitudinal NAG measurements may be useful in patients with CF, especially those with CFRD, to identify patients at risk of developing renal disease.

SummarySubclinical renal dysfunction is thought to occur as a systemic manifestation of ischaemia-reperfusion injury of other organs. Liver transplantation is associated with major ischaemia-reperfusion injury. Thirty-four patients undergoing elective liver transplantation were randomly allocated to receive either saline or 10 mg.kg

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Summary Reduced expression of the adhesion molecule E-cadherin has been associated with increased invasiveness and poorer survival in patients with bladder cancer. We have examined soluble E-cadherin (sE-cadherin) and total protein concentrations in urine from patients with bladder cancer (n = 34), non-neoplastic benign urological diseases (n = 14) and healthy controls (n = 21) to determine their diagnostic and prognostic significance. Soluble E-cadherin concentrations of the cancer group were significantly higher (P < 0.001) than those of the controls but the benign group was not significantly different from either the cancer group or the controls. When sE-cadherin concentrations were adjusted for creatinine, similar but more statistically significant results were obtained and the benign group was significantly elevated compared with the controls (P < 0.01). No differences were apparent between the invasive (pT1-4) and non-invasive (pTa) cancers. Urinary total protein concentrations in the cancer group were significantly higher than the controls (P < 0.001) and the benign group (P < 0.05) although no difference was seen between the benign group and patients with non-invasive (pTa) cancer or between the benign group and controls. When expressed as the protein/creatinine index, results were similar but more statistically significant and a significant difference was seen between invasive and non-invasive cancers (P < 0.01). Only the protein/creatinine index correlated significantly with stage of the tumour (P < 0.01). It is concluded that urinary sE-cadherin measurements are of no greater value than urinary total protein.

Methylprednisolone administration altered the cytokine profile favourably but adversely affected postoperative renal function.

Background: In a network of laboratories analytical variability between instruments, even of the same type, may exist for reasons beyond the control of laboratory staff. Controlling variability is a prerequisite for the application of shared reference ranges and for ensuring the transferability of patient test results. Controlling variability requires a robust, non-conventional quality system to detect poor performance of analysers that are geographically distant. Essential to this quality system is a set of well-defined quality specifications. Methods: The approach used in our study started with (1) selection of a model for quality specifications based on biological variation; the 'three-level model' (TLM) was selected on the basis of its flexibility to accommodate various levels of analytical performance; (2) determination of the performance characteristics of the 71 analytes measured in core biochemistry in terms of imprecision and bias; (3) defining quality requirements in the form of imprecision, bias and total error for 71 analytes measured routinely in core biochemistry; and (4) developing software to assist a consistent wide application of the quality specifications and to monitor analytical indices to the common quality specifications. Results: In this paper we describe how we have implemented this model across our network. Forty-six of the 71 analytes in our core laboratory repertoire were allocated to the TLM. We were able to demonstrate equivalence of results on all analysers, for 42 out of 46 analytes allocated to this model. Conclusions: We propose that other networked laboratories should investigate the suitability of this quality system for use in their network.

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