The role of appropriate diagnostic testing in acute respiratory tract infections: An antibiotic stewardship strategy to minimise diagnostic uncertainty in primary care.

Antibiotic resistance has increased worldwide to the extent that it is now regarded as a global public health crisis. Interventions to reduce excessive antibiotic prescribing to patients can reduce resistance and improve microbiological and clinical outcomes. Therefore, although improving outpatient antibiotic use is crucial, few data are provided on the key interventional components and the effectiveness of antibiotic stewardship in the primary care setting, in South Africa. The reasons driving the excessive prescription of antibiotics in the community are multifactorial but, perhaps most importantly, the overlapping clinical features of viral and bacterial infections dramatically reduce the ability of GPs to distinguish which patients would benefit from an antibiotic or not. As a consequence, the need for tools to reduce diagnostic uncertainty is critical. In this regard, besides clinical algorithms, a consensus of collaborators in European and UK consortia recently provided guidance for the use of C-reactive protein point-of-care testing in outpatients presenting with acute respiratory tract infections (ARTIs) and/or acute cough, if it is not clear after proper clinical assessment whether antibiotics should be prescribed or not. A targeted application of stewardship principles, including diagnostic stewardship as described in this review, to the ambulatory setting has the potential to affect the most common indications for systemic antibiotic use, in that the majority (80%) of antibiotic use occurs in the community, with ARTIs the most common indication.

Serum adenosine deaminase and total immunoglobulin G correlate with markers of immune activation and inversely with CD4 counts in asymptomatic, treatment-naive HIV infection.

PURPOSE: HIV-infection is characterized by aberrant immune activation and ongoing inflammation. Markers of inflammation are now recognized to have prognostic value for adverse events, independent of viral loads and CD4 counts. This study aimed to delineate a panel of affordable markers of immune activation in untreated HIV-infection that may have an impact on the management of HIV in resource-limited settings. METHODS: This was a cross-sectional study of 86 untreated newly diagnosed HIV-infected patients and 54 matched controls attending a voluntary testing clinic in Cape Town, South Africa. Serum levels of adenosine deaminase (ADA), total immunoglobulin G (IgG), soluble CD14 and lipopolysaccharide-binding protein (LBP) were measured and correlated with CD4 counts, viral loads and expression of CD38 on CD8+ T cells. RESULTS: ADA, IgG and LBP were all significantly increased in the HIV infected group (p < 0.0001) compared with uninfected controls. Soluble CD14 was also significantly increased (p = 0.0187). Furthermore, all these parameters correlated inversely with CD4 counts (r = -0.481 p < 0.0001; r = -0.561; p < 0.0001; r = -0.387 p = 0.0007 and r = -0.254 p = 0.0240, respectively). Only ADA correlated with viral load (r = 0.260 p = 0.0172). Importantly, ADA, IgG and LBP correlated directly with %CD38 on CD8+ T cells (r = 0.369 p < 0.0001; r = 0.284 p = 0.001; r = 0.408 p = 0.0006, respectively). CONCLUSION: Affordable parameters such as serum ADA and IgG correlated significantly with immune activation levels and markers of disease progression in untreated HIV-infection and therefore may add value to the management of these patients in resource-limited settings.

A Six Sigma approach to the rate and clinical effect of registration errors in a laboratory.

BACKGROUND: Laboratory errors made during the pre-analytical phase can have an impact on clinical care. Quality management tools such as Six Sigma may help improve error rates. AIM: To use elements of a Six Sigma model to establish the error rate of test registration onto the laboratory information system (LIS), and to deduce the potential clinical impact of these errors. METHODS: In this retrospective study, test request forms were compared with the tests registered onto the LIS, and all errors were noted before being rectified. The error rate was calculated. The corresponding patient records were then examined to determine the actual outcome, and to deduce the potential clinical impact of the registration errors. RESULTS: Of the 47 543 tests requested, 72 errors were noted, resulting in an error rate of 0.151%, equating to a sigma score of 4.46. The patient records reviewed indicated that these errors could, in various ways, have impacted on clinical care. CONCLUSION: This study highlights the clinical effect of errors made during the pre-analytical phase of the laboratory testing process. Reduction of errors may be achieved through implementation of a Six Sigma programme.