Michael G. Scott

Modelling the impact of antibiotic use and infection control practices on the incidence of hospital-acquired methicillin-resistant Staphylococcus aureus: a time-series analysis

OBJECTIVES Methicillin-resistant Staphylococcus aureus (MRSA) is a major nosocomial pathogen worldwide. A wide range of factors have been suggested to influence the spread of MRSA. The objective of this study was to evaluate the effect of antimicrobial drug use and infection control practices on nosocomial MRSA incidence in a 426-bed general teaching hospital in Northern Ireland. METHODS The present research involved the retrospective collection of monthly data on the usage of antibiotics and on infection control practices within the hospital over a 5 year period (January 2000-December 2004). A multivariate ARIMA (time-series analysis) model was built to relate MRSA incidence with antibiotic use and infection control practices. RESULTS Analysis of the 5 year data set showed that temporal variations in MRSA incidence followed temporal variations in the use of fluoroquinolones, third-generation cephalosporins, macrolides and amoxicillin/clavulanic acid (coefficients = 0.005, 0.03, 0.002 and 0.003, respectively, with various time lags). Temporal relationships were also observed between MRSA incidence and infection control practices, i.e. the number of patients actively screened for MRSA (coefficient = -0.007), the use of alcohol-impregnated wipes (coefficient = -0.0003) and the bulk orders of alcohol-based handrub (coefficients = -0.04 and -0.08), with increased infection control activity being associated with decreased MRSA incidence, and between MRSA incidence and the number of new patients admitted with MRSA (coefficient = 0.22). The model explained 78.4% of the variance in the monthly incidence of MRSA. CONCLUSIONS The results of this study confirm the value of infection control policies as well as suggest the usefulness of restricting the use of certain antimicrobial classes to control MRSA.

An evaluation of the impact of antibiotic stewardship on reducing the use of high-risk antibiotics and its effect on the incidence of Clostridium difficile infection in hospital settings

OBJECTIVES To evaluate the impact of a high-risk antibiotic stewardship programme on reducing antibiotic use and on hospital Clostridium difficile infection (CDI) incidence rates. A secondary objective was to present the possible utility of time-series analysis as an antibiotic risk classification tool. METHODS This was an interventional, retrospective, ecological investigation in a medium-sized hospital over 6.5 years (January 2004 to June 2010). The intervention was the restriction of high-risk antibiotics (second-generation cephalosporins, third-generation cephalosporins, fluoroquinolones and clindamycin). Amoxicillin/clavulanic acid and macrolides were classified as medium-risk antibiotics based on time-series analysis findings and their use was monitored. The intervention was evaluated by segmented regression analysis of interrupted time series. RESULTS The intervention was associated with a significant change in level of use of high-risk antibiotics (coefficient -17.3, P < 0.0001) and with a borderline significant trend change in their use being reduced by 0.156 defined daily doses/100 bed-days per month (P = 0.0597). The reduction in the use of high-risk antibiotics was associated with a significant change in the incidence trend of CDI (P = 0.0081), i.e. the CDI incidence rate decreased by 0.0047/100 bed-days per month. Analysis showed that variations in the incidence of CDI were affected by the age-adjusted comorbidity index with a lag of 1 month (coefficient 0.137051, P = 0.0182). Significant decreases in slope (coefficient -0.414, P = 0.0309) post-intervention were also observed for the monitored medium-risk antibiotics. CONCLUSIONS The restriction of the high-risk antibiotics contributed to both a reduction in their use and a reduction in the incidence of CDI in the study site hospital. Time-series analysis can be utilized as a risk classification tool with utility in antibiotic stewardship design and quality improvement programmes.

Multimodality expression profiling shows SEPT9 to be overexpressed in a wide range of human tumours

Septins are an evolutionarily conserved family of GTPases with diverse functions including roles in cytokinesis that have been implicated in neoplasia. To address the potential role of SEPT9 in tumorigenesis, we assessed the expression of SEPT9 in 7287 fresh frozen human tissue samples and 292 human cell lines by microarray analysis. In addition, we used a sensitive RT–PCR strategy to define the expression of SEPT9 isoforms in archival formalin-fixed and paraffin-embedded normal human tissues. The mRNA data were further confirmed by immunohistological analyses of SEPT9 protein expression in normal human tissues using antisera that detect SEPT9 isoforms. Using these complementary approaches, we demonstrate that SEPT9 mRNA and protein are expressed ubiquitously, with the isoforms showing tissue-specific expression. The microarray analysis indicates that there is consistent overexpression of SEPT9 in diverse human tumours including breast, CNS, endometrium, kidney, liver, lung, lymphoid, oesophagus, ovary, pancreas, skin, soft tissue and thyroid. Since tumours are commonly associated with enhanced cell proliferation, we examined the possible correlation of Ki67 and SEPT9 expression in normal tissues and tumours. Our data indicate that the overexpression of SEPT9 in neoplasia is not simply a proliferation-associated phenomenon, despite its role in cytokinesis.

Clinical and economic impact of contaminated blood cultures within the hospital setting

Blood cultures have an important role in the diagnosis of serious infections, although contamination of blood cultures (i.e. false-positive blood cultures) is a common problem within the hospital setting. The objective of the present investigation was to determine the impact of the false-positive blood culture results on the following outcomes: length of stay, hotel costs, antimicrobial costs, and costs of laboratory and radiological investigation. A retrospective case-control study design was used in which 142 false-positive blood culture cases were matched with suitable controls (patients for whom cultures were reported as true negatives). The matching criteria included age, comorbidity score and month of admission to the hospital. The research covered a 13-month period (July 2007 to July 2008). The findings indicated that differences in means, between cases and controls, for the length of hospital stay and the total costs were 5.4 days [95% CI (confidence interval): 2.8-8.1 days; P<0.001] and £5,001.5 [

Altered patterns of transcription of the septin gene, SEPT9, in ovarian tumorigenesis

7,502.2; 95% CI: £3,283.9 (

Self-reported medication non-compliance in the elderly

4,925.8) to £6,719.1 (

Multihospital Outbreak of Clostridium difficile Ribotype 027 Infection: Epidemiology and Analysis of Control Measures

10,078.6); P<0.001], respectively. Consequently, and considering that 254 false-positive blood cultures had occurred in the study site hospital over a one-year period, patients with false-positive blood cultures added 1372 extra hospital days and incurred detrimental additional hospital costs of £1,270,381 (

The impact of antibiotic use on the incidence and resistance pattern of extended‐spectrum beta‐lactamase‐producing bacteria in primary and secondary healthcare settings

1,905,572) per year. The findings therefore demonstrate that false-positive blood cultures have a significant impact on increasing hospital length of stay, laboratory and pharmacy costs. These findings highlight the need to intervene to raise the standard of blood-culture-taking technique, thus improving both the quality of patient care and resource use.

Quasiexperimental Study of the Effects of Antibiotic Use, Gastric Acid-Suppressive Agents, and Infection Control Practices on the Incidence of Clostridium difficile-Associated Diarrhea in Hospitalized Patients

Ovarian carcinoma represents the most lethal gynaecological malignancy. A variety of morphological subtypes are recognised (e.g. serous, mucinous, endometrioid), which may be benign, borderline or malignant. While their relationship is controversial, knowledge of the molecular mechanisms of ovarian tumorigenesis may help resolve this issue and perhaps identify early markers of disease. Perturbed patterns of expression of the SEPT9 gene on chromosome 17q25.3 have been implicated in a variety of tumour types including both breast and ovarian neoplasia. In preliminary studies, we showed that SEPT9 mRNA was upregulated in a bank of ovarian tumours, which included benign, borderline and malignant tumours, and reported increased levels of one splice variant, SEPT9_v4*. We now describe a comprehensive analysis of SEPT9 expression specifically in serous and mucinous ovarian tumours (benign, borderline and malignant), using cDNA microarray, semi‐ and quantitative RTPCR of microdissected archival tumour material. Our data show consistent and specific overexpression of both SEPT9_v1 and SEPT9_v4* transcripts in the epithelial component of ovarian tumours. These transcripts show highest levels of expression in serous and mucinous borderline tumours. SEPT9_v1 is also upregulated in both serous and mucinous carcinomas. Interestingly, highest levels of expression are observed in serous borderline and low‐grade tumours rather than high‐grade in keeping with a model of progression of benign, borderline and low‐grade serous tumours.

Can the use of a rapid polymerase chain screening method decrease the incidence of nosocomial meticillin-resistant Staphylococcus aureus?

AbstractObjective: To assess self-reported compliance with prescribed medications in a population of elderly patients prior to their hospital admission in an attempt to understand further the factors which influence drug-taking patterns. Methods: Information which, based on personal clinical experience and published research, may impact on compliance was collected for patients by way of a chart review within 3 days of hospital admission, a search of patient computerised hospital records and an interview. All crude data were coded and entered into a computerised relational database. Each patients data were assessed using the Naranjo algorithm and the score was recorded. Chi-square analysis highlighted those factors which significantly influenced compliance, sub-divided into under-compliance (taking less medicine than prescribed) and over-compliance (taking more medicine than prescribed). Inter-relationships between variables were investigated using multiple-regression analysis. Results: Overall, 13.7% of the population (n=512) reported non-compliance, with 10.7% reporting under-compliance and 4.3% reporting over-compliance. A number of patients reported both under- and over-compliance. Being prescribed bronchodilators, for example, was found to be associated with under-compliance, while being prescribed analgesics (excluding non-steroidal anti-inflammatories) was associated with over-compliance using Chi-square analysis. A five-variable non-compliance risk model was obtained from logistic regression analysis. This model had a specificity of 88.9% and a sensitivity of 33.3%. The factors shown to influence compliance were the type of drug being taken (diuretics, bronchodilators and benzodiazepines), independence when taking medicines and the number of non-prescription drugs being taken. All other laboratory/test data, diseases/diagnoses, reasons for hospital admission and socio-demographic factors were not significant risk factors for self-reported non-compliance in the present model. Conclusions: Although it is accepted that self-reporting of poor compliance is generally lower than actual poor compliance, the present risk model provides further insight into the drug-taking habits of elderly patients.