Aline Wolfensberger

Immunodeficiency and the risk of cervical intraepithelial neoplasia 2/3 and cervical cancer: A nested case‐control study in the Swiss HIV cohort study

HIV‐infected women are at increased risk of cervical intraepithelial neoplasia (CIN) and invasive cervical cancer (ICC), but it has been difficult to disentangle the influences of heavy exposure to HPV infection, inadequate screening and immunodeficiency. A case‐control study including 364 CIN2/3 and 20 ICC cases matched to 1,147 controls was nested in the Swiss HIV Cohort Study (1985–2013). CIN2/3 risk was significantly associated with low CD4+ cell counts, whether measured as nadir [odds ratio (OR) per 100‐cell/μL decrease = 1.15, 95% CI: 1.08, 1.22], or at CIN2/3 diagnosis (1.10, 95% CI: 1.04, 1.16). An association was evident even for nadir CD4+ 200–349 versus ≥350 cells/μL (OR = 1.57, 95% CI: 1.09, 2.25). After adjustment for nadir CD4+, a protective effect of >2‐year cART use was seen against CIN2/3 (OR versus never cART use = 0.64, 95% CI: 0.42, 0.98). Despite low study power, similar associations were seen for ICC, notably with nadir CD4+ (OR for 50 vs. >350 cells/μL= 11.10, 95% CI: 1.24, 100). HPV16‐L1 antibodies were significantly associated with CIN2/3, but HPV16‐E6 antibodies were nearly exclusively detected in ICC. In conclusion, worsening immunodeficiency, even at only moderately decreased CD4+ cell counts, is a significant risk factor for CIN2/3 and cervical cancer.

Change of antibiotic susceptibility testing guidelines from CLSI to EUCAST: influence on cumulative hospital antibiograms.

Objective We studied whether the change in antibiotic susceptibility testing (AST) guidelines from CLSI to EUCAST influenced cumulative antibiograms in a tertiary care hospital in Switzerland. Methods Antibiotic susceptibilities of non-duplicate isolates collected within a one-year period before (period A) and after (period B) changing AST interpretation from CLSI 2009 to EUCAST 1.3 (2011) guidelines were analysed. In addition, period B isolates were reinterpreted according to the CLSI 2009, CLSI 2013 and EUCAST 3.1 (2013) guidelines. Results The majority of species/drug combinations showed no differences in susceptibility rates comparing periods A and B. However, in some gram-negative bacilli, decreased susceptibility rates were observed when comparing CLSI 2009 with EUCAST 1.3 within period B: Escherichia coli / cefepime, 95.8% (CLSI 2009) vs. 93.1% (EUCAST 1.3), P=0.005; Enterobacter cloacae / cefepime, 97.0 (CLSI 2009) vs. 90.5% (EUCAST 1.3), P=0.012; Pseudomonas aeruginosa / meropenem, 88.1% (CLSI 2009) vs. 78.3% (EUCAST 1.3), P=0.002. These differences were still evident when comparing susceptibility rates according to the CLSI 2013 guideline with EUCAST 3.1 guideline. For P. aeruginosa and imipenem, a trend towards a lower antibiotic susceptibility rate in ICUs compared to general wards turned into a significant difference after the change to EUCAST: 87.9% vs. 79.8%, P=0.08 (CLSI 2009) and 86.3% vs. 76.8%, P=0.048 (EUCAST 1.3). Conclusions The change of AST guidelines from CLSI to EUCAST led to a clinically relevant decrease of susceptibility rates in cumulative antibiograms for defined species/drug combinations, particularly in those with considerable differences in clinical susceptibility breakpoints between the two guidelines.

Influence of Clinical Breakpoint Changes from CLSI 2009 to EUCAST 2011 Antimicrobial Susceptibility Testing Guidelines on Multidrug Resistance Rates of Gram-Negative Rods

ABSTRACT Multidrug resistance (MDR) rates of Gram-negative rods were analyzed comparing CLSI 2009 and EUCAST 2011 antibiotic susceptibility testing guidelines. After EUCAST 2011 was applied, the MDR rates increased for Klebsiella pneumoniae (2.2%), Enterobacter cloacae (1.1%), Pseudomonas aeruginosa (0.7%), and Escherichia coli (0.4%). A total of 24% of Enterobacteriaceae MDR isolates and 12% of P. aeruginosa MDR isolates were categorized as MDR due to breakpoint changes.

Neonatal Mortality and Morbidity after Aggressive Long-Term Tocolysis for Preterm Premature Rupture of the Membranes

Objective: To test the hypothesis that predischarge morbidity and mortality are not increased for infants admitted to our neonatal intensive care unit and whose mothers had tocolysis for >48 h plus antibiotics and steroids (aggressive long-term tocolysis) after preterm premature rupture of the membranes (PPROM) as compared with gestational age-matched infants born to mothers not treated for PPROM. Methods: A retrospective cohort study was conducted on live preterm births (≤36.0 weeks) admitted to the neonatal intensive care unit between January 1, 1999 and June 30, 2003, comparing singletons born to mothers with PPROM + tocolysis for >48 h (n = 137, group 1) with singletons born to all other mothers matched for group-1 gestational age at delivery (n = 628, group 2), excluding severe maternal complications such as insulin-dependent diabetes and preeclampsia in both groups. Primary outcome was the predischarge mortality and morbidity of the neonates. Results: In the group with post-PPROM tocolysis which lasted for 14.4 ± 14.0 days with a latency of 15.3 ± 15.3 days (time from PPROM to delivery) and 14.4 ± 14.0 days (time from the start of tocolysis to delivery), the predischarge mortality and morbidity was not increased compared to the non-treated group. The 1- and 10-min Apgar scores of between 1 and 7 were less frequent with tocolysis (p < 0.05), and oxygen use was less frequent (26.3 vs. 36.3%, p = 0.03) and shorter (8.7 vs. 19.6 days, p = 0.03). However, amniotic fluid infection syndrome and latency (i.e. >1 week) are the most potential predictors of the respiratory distress syndrome in addition to gestational age at delivery in pregnancies with post-PPROM tocolysis. Conclusions: Amniotic fluid infection syndrome and a latency of >1 week achieved by aggressive post-PPROM tocolysis lessens the advantages of extended gestational age and decreased predischarge neonatal morbidity. These findings may have important implications for the clinical management of PPROM.

Epidemiology of Methicillin-Susceptible Staphylococcus aureus in a Neonatology Ward

OBJECTIVE In-hospital transmission of methicillin-susceptible Staphylococcus aureus (MSSA) among neonates remains enigmatic. We describe the epidemiology of MSSA colonization and infection in a 30-bed neonatal ward. DESIGN Multimodal outbreak investigation SETTING A public 800-bed tertiary care university hospital in Switzerland METHODS Investigations in 2012-2013, triggered by a MSSA infection cluster, included prospective MSSA infection surveillance, microbiologic screening of neonates and environment, onsite observations, and a prospective cohort study. MSSA isolates were characterized by pulsed-field gel electrophoresis (PFGE) and selected isolates were examined for multilocus sequence type (MLST) and virulence factors. RESULTS Among 726 in 2012, 30 (4.1%) patients suffered from MSSA infections including 8 (1.1%) with bacteremia. Among 655 admissions in 2013, 13 (2.0%) suffered from MSSA infections including 2 (0.3%) with bacteremia. Among 177 neonates screened for S. aureus carriage, overall 77 (44%) tested positive. A predominant PFGE-1-ST30 strain was identified in 6 of 30 infected neonates (20%) and 30 of 77 colonized neonates (39%). This persistent clone was pvl-negative, tst-positive and belonged to agr group III. We found no environmental point source. MSSA carriage was associated with central vascular catheter use but not with a particular midwife, nurse, physician, or isolette. Observed healthcare worker behavior may have propagated transmission via hands and fomites. Despite multimodal interventions, clonal transmission and colonization continued and another clone, PFGE-6-ST5, became predominant. CONCLUSIONS Hospital-acquired MSSA clones represent a high proportion of MSSA colonization but not MSSA infections in neonate inpatients. In contrast to persisting MSSA, transmission infection rates decreased concurrently with interventions. It remains to be established whether eradication of hospital-acquired MSSA strains would reduce infection rates further.

Should International Classification of Diseases codes be used to survey hospital-acquired pneumonia?

As surveillance of hospital-acquired pneumonia (HAP) is very resource intensive, alternatives for HAP surveillance are needed urgently. This study compared HAP rates according to routine discharge diagnostic codes of the International Classification of Diseases, 10th Revision (ICD-10; ICD-HAP) with HAP rates according to the validated surveillance definitions of the Hospitals in Europe Link for Infection Control through Surveillance (HELICS/IPSE; HELICS-HAP) by manual retrospective re-evaluation of patient records. The positive predictive value of ICD-HAP for HELICS-HAP was 0.35, and sensitivity was 0.59. Therefore, the currently available ICD-10-based routine discharge data do not allow reliable identification of patients with HAP.

Frequency and Nature of Infectious Risk Moments During Acute Care Based on the INFORM Structured Classification Taxonomy

OBJECTIVE In this study, we sought to establish a comprehensive inventory of infectious risk moments (IRMs), defined as seemingly innocuous yet frequently occurring care manipulations potentially resulting in transfer of pathogens to patients. We also aimed to develop and employ an observational taxonomy to quantify the frequency and nature of IRMs in acute-care settings. DESIGN Prospective observational study and establishment of observational taxonomy. SETTING Intensive care unit, general medical ward, and emergency ward of a university-affiliated hospital. PARTICIPANTS Healthcare workers (HCWs) METHODS Exploratory observations were conducted to identify IRMs, which were coded based on the surfaces involved in the transmission pathway to establish a structured taxonomy. Structured observations were performed using this taxonomy to quantify IRMs in all 3 settings. RESULTS Following 129.17 hours of exploratory observations, identified IRMs involved HCW hands, gloves, care devices, mobile objects, and HCW clothing and accessories. A structured taxonomy called INFORM (INFectiOus Risk Moment) was established to classify each IRM according to the source, vector, and endpoint of potential pathogen transfer. We observed 1,138 IRMs during 53.77 hours of structured observations (31.25 active care hours) for an average foundation of 42.8 IRMs per active care hour overall, and average densities of 34.9, 36.8, and 56.3 IRMs in the intensive care, medical, and emergency wards, respectively. CONCLUSIONS Hands and gloves remain among the most important contributors to the transfer of pathogens within the healthcare setting, but medical devices, mobile objects, invasive devices, and HCW clothing and accessories may also contribute to patient colonization and/or infection. The INFORM observational taxonomy and IRM inventory presented may benefit clinical risk assessment, training and education, and future research. Infect Control Hosp Epidemiol 2018;39:272-279.

Transfer of pathogens to and from patients, healthcare providers, and medical devices during care activity—a systematic review and meta-analysis

OBJECTIVE The transfer of pathogens may spread antimicrobial resistance and lead to healthcare-acquired infections. We performed a systematic literature review to generate estimates of pathogen transfer in relation to healthcare provider (HCP) activities. METHODS For this systematic review and meta-analysis, Medline/Ovid, EMBASE, and the Cochrane Library were searched for studies published before July 7, 2017. We reviewed the literature, examining transfer of pathogens associated with HCP activities. We included studies that (1) quantified transfer of pathogens from a defined origin to a defined destination surface; (2) reported a microbiological sampling technique; and (3) described the associated activity leading to transfer. For studies reporting transfer frequencies, we extracted data and calculated the estimated proportion using Freeman-Tukey double arcsine transformation and the DerSimonian-Laird random-effects model. RESULTS Of 13,121 identified articles, 32 were included. Most articles (n=27, 84%) examined transfer from patients and their environment to HCP hands, gloves, and gowns, with an estimated proportion for transfer frequency of 33% (95% confidence interval [CI], 12%-57%), 30% (95% CI, 23%-38%) and 10% (95% CI, 6%-14%), respectively. Other articles addressed transfer involving the hospital environment and medical devices. Risk factor analyses in 12 studies suggested higher transfer frequencies after contact with moist body sites (n=7), longer duration of care (n=5), and care of patients with an invasive device (n=3). CONCLUSIONS Recognizing the heterogeneity in study designs, the available evidence suggests that pathogen transfer to HCPs occurs frequently. More systematic research is urgently warranted to support targeted and economic prevention policies and interventions.

The preventable proportion of healthcare-associated infections 2005–2016: Systematic review and meta-analysis

OBJECTIVE The preventable proportion of healthcare-associated infections (HAIs) may decrease over time as standards of care improve. We aimed to assess the proportion of HAIs prevented by multifaceted infection control interventions in different economic settings. METHODS In this systematic review and meta-analysis, we searched OVID Medline, EMBASE, CINAHL, PubMed, and The Cochrane Library for studies published between 2005 and 2016 assessing multifaceted interventions to reduce catheter-associated urinary tract infections (CAUTIs), central-line-associated bloodstream infections (CLABSIs), surgical site infections (SSIs), ventilator-associated pneumonia (VAP), and hospital-acquired pneumonia not associated with mechanical ventilation (HAP) in acute-care or long-term care settings. For studies reporting raw rates, we extracted data and calculated the natural log of the risk ratio and variance to obtain pooled risk ratio estimates. RESULTS Of the 5,226 articles identified by our search, 144 studies were included in the final analysis. Pooled incidence rate ratios associated with multifaceted interventions were 0.543 (95% confidence interval [CI], 0.445-0.662) for CAUTI, 0.459 (95% CI, 0.381-0.554) for CLABSI, and 0.553 (95% CI, 0.465-0.657) for VAP. The pooled rate ratio was 0.461 (95% CI, 0.389-0.546) for interventions aiming at SSI reduction, and for VAP reduction initiatives, the pooled rate ratios were 0.611 (95% CI, 0.414-0.900) for before-and-after studies and 0.509 (95% CI, 0.277-0.937) for randomized controlled trials. Reductions in infection rates were independent of the economic status of the study country. The risk of bias was high in 143 of 144 studies (99.3%). CONCLUSIONS Published evidence suggests a sustained potential for the significant reduction of HAI rates in the range of 35%-55% associated with multifaceted interventions irrespective of a countrys income level.