Onset Of Healthcare-associated Infections Research Articles

Prior Antibiotic Therapy and the Onset of Healthcare-Associated Infections Sustained by Multidrug-Resistant Klebsiella pneumoniae in Intensive Care Unit Patients: A Nested Case-Control Study.

Epidemiological research has demonstrated direct relationships between antibiotic consumption and the emergence of multidrug-resistant (MDR) bacteria. In this nested case–control study, we assessed whether prior exposure to antibiotic therapy and its duration affect the onset of healthcare-associated infections (HAIs) sustained by MDR Klebsiella pneumoniae (MDR-Kp) in intensive care unit patients. Cases were defined as patients who developed an MDR-Kp HAI. Controls matched on sex and the length of intensive care unit (ICU) stay were randomly selected from the at-risk population. Any antibiotic agent received in systemic administration before the onset of infection was considered as antibiotic exposure. Multivariable conditional logistic regression analyses were performed to estimate the effect of prior exposure to each antibiotic class (Model 1) or its duration (Model 2) on the onset of HAIs sustained by MDR-Kp. Overall, 87 cases and 261 gender-matched controls were compared. In Model 1, aminoglycosides and linezolid independently increased the likelihood of developing an MDR-Kp HAI, whereas exposure to both linezolid and penicillins reduced the effect of linezolid alone. In Model 2, cumulative exposure to aminoglycosides increased the likelihood of the outcome, as well as cumulative exposures to penicillins and colistin, while a previous exposure to both penicillins and colistin reduced the influence of the two antibiotic classes alone. Our study confirms that aminoglycosides, penicillins, linezolid, and colistin may play a role in favoring the infections sustained by MDR-Kp. However, several double exposures in the time window before HAI onset seemed to hinder the selective pressure exerted by individual agents.

Improve Healthcare Quality Through Mortality Committee: Retrospective Analysis of Bambino Gesù Children Hospital's Ten Years' Experience 2008-2017.

Healthcare quality improvements are one of the most important goals to reach a better and safer healthcare system. Reviewing in-hospital mortality data is useful to identify areas for improvement, and to monitor the impact of actions taken to avoid preventable cases, such as those related to healthcare associated infections (HAI). In this paper, we present the experience of the Mortality Committee of Bambino Gesù Children Hospital (OPBG). OPBG has instituted a process of systematic revision of all in-hospital deaths conducted by a multidisciplinary team. The goal is to identify system-wide issues that could be improved to reduce in-hospital preventable deaths. In this way, the mortality review goes alongside all the other risk management activities for the continuous quality improvement and patient safety. In years 2008-2017, we performed a systematic analysis of 1148 inpatient deaths. In this time period, the overall mortality rate was 0.4%. Forty-seven deaths were caused due to infections, 10 of which involved patients with HAI transferred to OPBG from other facilities or patients with community- acquired infections. Six deaths related to HAI were followed by claims compensations. All these cases were not followed by compensation because the onset of HAI was considered an inevitable consequence of the underlying disease. Introduction of the mortality review committee has proved to be a valid instrument to improve the quality of the care provided in a hospital, allowing early identification of care gaps that could lead to an increase in mortality rates. Article Highlights Box: Reduction of preventable deaths is one of the most important goals to be achieved for any health-care system and to improve the quality of care. • Several studies have shown that analysis of morbidity and mortality rate helps to detect any factors that can lead to an increase in in-hospital mortality rates. • The review of in-hospital deaths allows to learn how to improve the quality and safety of care through identification of critical issues that lead to an increase in mortality ratio. • In some medical areas, such as intensive care units or surgery, the implementation of the conference on mortality and morbidity is more useful for assessing procedures at high risk of errors. • The implementation of existing databases with data deriving from the systematic review of medical records and in-hospital deaths appears to be desirable. • Mortality Review Committees can represent a very useful tool for all the health facilities for the reduction of preventable deaths, such as those related to HAI.

Nurse Staffing and Healthcare-Associated Infection, Unit-Level Analysis.

To examine whether healthcare-associated infections (HAIs) and nurse staffing are associated using unit-level staffing data. Previous studies of the association between HAIs and nurse staffing are inconsistent and limited by methodological weaknesses. Cross-sectional data between 2007 and 2012 from a large urban hospital system were analyzed. HAIs were diagnosed using the Centers for Disease Control and Prevention's National Healthcare Safety Network definitions. We used Cox proportional-hazards regression model to examine the association of nurse staffing (2 days before HAI onset) with HAIs after adjusting for individual risks. Fifteen percent of patient-days had 1 shift understaffed, defined as staffing below 80% of the unit median for a shift, and 6.2% had both day and night shifts understaffed. Patients on units with both shifts understaffed were significantly more likely to develop HAIs 2 days later. Understaffing is associated with increased risk of HAIs.

Point prevalence survey of healthcare-associated infections and antimicrobial use in Kosovo hospitals.

Health care-associated infections (HAIs) and antimicrobial resistance constitute a major public health challenge. The aim of this study was to assess the prevalence rate of HAIs and antimicrobial use in acute care hospitals in Kosovo. A multicenter study was performed in all hospitals in Kosovo. The standardized protocol for Point Prevalence Survey (PPS) on HAIs and antimicrobial use developed by European Center for Disease Control and Prevention (ECDC) was used for this survey. A total of 915 patients were included in PPS. Countrywide prevalence rate of HAIs was 4.9%. The highest rate was noticed in tertiary care level in University Clinical Centre of Kosovo (UCCK) (7.2%). The most common type of HAI was surgical site infection, representing 35.5% of all reported HAIs. Prevalence of HAIs was highest in surgical departments (46.6%). The median length of stay before onset of HAI was 11 days (range: 3-27 days). Gram negative bacteria were the predominant microorganisms (61% of cases). From all patients, 520 (56.8%) of them were using at least one antibiotic. Ceftriaxone was the most prescribed antibiotic with 40.3%. Antibiotics were administered mainly through parenteral route (93.8%). Empiric treatment was the physician’s choice for prescribing in 87.1%. The main reason for antibiotic treatment was pneumonia (19.8%). Medical prophylaxis was reported in 10% of antibiotic prescriptions. Key recommendations driven by this study are to improve surveillance systems of HAI and antibiotic use, enhance infection prevention and control and establish antimicrobial stewardship program.

Impact of a probiotic-based hospital sanitation on antimicrobial resistance and HAI-associated antimicrobial consumption and costs: a multicenter study.

PurposeAntimicrobial resistance (AMR) is one of the major threats to human health, and the high frequency of resistant pathogens in the hospital environment can contribute to the transmission of difficult-to-treat health care-associated infections (HAIs). We recently reported that, compared with conventional chemical cleaning, the use of a microbial-based sanitation strategy (Probiotic Cleaning Hygiene System [PCHS]) was associated with remodulation of hospital microbiota and reduction of HAI incidence. Here, we aimed to analyze the impact of PCHS on AMR and related effects, such as HAI-associated antimicrobial drug consumption and costs.Patients and methodsFive Italian hospitals, enrolled in a multicenter study where conventional sanitation methods were replaced with PCHS, were included in the analysis. The study period included a 6-month observation for each sanitation type. Surface microbiota AMR was analyzed using microarray, nested PCR, antibiogram, and microdilution tests. Drug consumption data and related costs were obtained from the medical records of all hospitalized patients affected by HAIs.ResultsPCHS use was associated with up to 99% decrease of the AMR genes harbored by surface hospital microbiota, independently of the resistance types originally present in each individual setting (Pc<0.01). Functional assays confirmed the molecular data, demonstrating a 33%–100% decrease of resistant strains depending on the antibiotic type. Antimicrobial drug consumption associated with HAI onset showed a global 60.3% decrease, with a 75.4% decrease of the associated costs.ConclusionThe spread of AMR in the hospital environment can be limited by the use of sanitation methods to remodulate the hospital microbiota, leading to lower antimicrobial consumption and costs. This approach might be considered as part of broader infection prevention and control strategies.

Healthcare-Associated Bacteremia and Urinary Tract Infections in Wards A and B of Medicine Department, CNHU-HKM of Cotonou: Characteristics and Risk Factors

Introduction: Healthcare-associated infections are involved in hospital long-stay and in the increase in inherent costs to patients care. Objectives: Objective was to describe the characteristics of healthcare-associated bacteremia and urinary tract infections in medical wards of CNHU-HKM of Cotonou, describe the distribution of germs identified according to admission wards and identify factors associated with onset of healthcare-associated infections. Materials and Methods: It was a cohort study conducted from 4th April to 16th September 2016. The study population included patients admitted in wards A and B of CNHU-HKM Medicine department for at least the past 48 hours, or readmitted in one of the medical wards less than 14 days after their discharge from hospital. Results: The study included 825 patients in total. Prevalence of healthcare-associated infections was 9.8%. Bacteremia was the most represented group (65.4%). The most often identified germs regardless of the site were respectively: K. pneumonia (38.5%), S. aureus (23.1%) and E. coli (20.0%). HIV+ status, internal medicine department, nephrology and endocrinology, duration of admission and the use of urinary catheter represent factors statistically associated with the onset of healthcare-associated infections. Conclusion: Healthcare-associated infections are a real public health issue in CNHU-HKM Medicine Department. There is pressing need to conduct a study on clinical hygiene so as to assess healthcare staff in practice.

Hygiene: microbial strategies to reduce pathogens and drug resistance in clinical settings.

SummaryHealthcare‐associated infections (HAIs) are a global concern, affecting all western hospitals, and profoundly impairing the clinical outcome of up to 15% of all hospitalized patients. Persistent microbial contamination of hospital surfaces has been suggested to contribute to HAIs onset, representing a reservoir for hospital pathogens. On the other hand, conventional chemicals‐based sanitation do not prevent recontamination and can select drug‐resistant strains, resulting in over 50% of surfaces persistently contaminated. There is therefore an urgent need for alternative sustainable and effective ways to control pathogens contamination and transmission. Toward this goal, we recently reported that a probiotic‐based sanitation can stably decrease surface pathogens up to 90% more than conventional disinfectants, without selecting resistant species. This paper summarizes some of our most significant results.

Influence of Sanitizing Methods on Healthcare-Associated Infections Onset: A Multicentre, Randomized, Controlled Pre-Post Interventional Study

Background: Contamination of healthcare surfaces contributes to Healthcare-associated infections (HAIs) transmission, representing a global concern. Conventional chemicals-based sanitation shows limitations in controlling surface contamination and related HAIs onset, and can select multi-resistant pathogen species. Recently, a sanitizing procedure involving probiotic-based detergents was shown to decrease surface pathogens up to 90% more than conventional disinfectants, without selecting resistant species. This study aims to analyse the influence of a probiotic-based sanitizing intervention on HAIs incidence and typology. Design: Seven Italian hospitals representative of all Italian geographical areas will be recruited for participation in a multicentre, prospective, randomised, pre-post interventional study, analysing simultaneously for a consecutive 18- months period both microbial surface contamination and HAIs occurrence. The intervention will consist in the substitution of the conventional cleaning procedure (chlorine-based) with a probiotic-based one. In the preintervention phase, hospitals will maintain conventional sanitizing procedures; in the post-intervention phase, the probiotic-based sanitation will be applied, allowing a buffer period for the stabilization of the new method. The participating hospitals will be randomly allocated in the following groups: no-intervention (one hospital), intervention-1st group (three hospitals) and intervention-2nd group (three hospitals), entering the study with a 5- months delay. During the whole study period, all patients admitted to the recruited hospital wards will be continuously surveyed for HAI occurrence. Meanwhile, surface bioburden will be monitored monthly by both biological and molecular assays. Discussion: This study will be the first to provide robust data on the impact of sanitation procedures on healthcare associated infections onset and typology, as no previously reported studies evaluates simultaneously and continuously for a period of 18 months both the environmental surface bioburden, its resistome and the healthcare associated infections onset. Results: The results generated from this study might be important for the development of future guidelines to modulate environmental microbiota and to ameliorate hospital environmental cleaning, implementing prevention strategies to reduce HAIs onset.

Studies on nurse staffing and health care–associated infection: Methodologic challenges and potential solutions

Researchers have been studying hospital nurse staffing in relation to health care-associated infections (HAIs) for >2 decades, and the results have been mixed. We summarized published research examining these issues, critically analyzed the commonly used approaches, identified methodologic challenges, proposed potential solutions, and suggested the possible benefits of applying an electronic health record (EHR) system. A scoping review was conducted using MEDLINE and CINAHL from 1990 onward. Original research studies examining relationships between nurse staffing and HAIs in the hospital setting and published in peer-reviewed English-language journals were selected. A total of 125 articles and abstracts were identified, and 45 met inclusion criteria. Findings from these studies were mixed. The methodologic challenges identified included database selection, variable measurement, methods to link the nurse staffing and HAI data, and temporality. Administrative staffing data were often not precise or specific. The most common method to link staffing and HAI data did not assess the temporal relationship. We proposed using daily staffing information 2-4 days prior to HAI onset linked to individual patient HAI data. To assess the relationships between nurse staffing and HAIs, methodologic decisions are necessary based on what data are available and feasible to obtain. National efforts to promote an EHR may offer solutions for future studies by providing more comprehensive data on HAIs and nurse staffing.

Trend of healthcare-associated infections in children: annual prevalence surveys in a research hospital in Italy, 2007–2010

Annual prevalence surveys of healthcare-associated infections (HAIs) between 2007 and 2010 were conducted in the largest tertiary care children's hospital in Italy. During this period, actions to improve HAI prevention were implemented, including strengthened isolation measures; adoption of care bundles for invasive procedures; hand hygiene promotion using the World Health Organization multimodal strategy; and promotion of appropriate antimicrobial use. To determine the impact of these measures on HAI rates. A total of 1506 patients were surveyed. Information on patient demographics, mechanical ventilation, central line and urinary catheterization in the preceding 48h, and surgery in the previous 30 days were abstracted from medical charts. The type and date of onset of HAIs, and microbiological data were recorded. Univariate and multivariate logistic analysis were used to evaluate changes in HAI rates over time, and the influence of ward type and patient characteristics. There were significant (P<0.001) reductions in the prevalence of patients developing HAI (from 7.6% to 4.3%) and in the prevalence of total HAIs (from 8.6 to 4.3 per 100 patients). Factors independently associated with increased HAI risk were hospitalization in intensive care ward, length of stay >30 days, presence of invasive device, and age 6-11 years. This HAI prevention strategy was influential in decreasing infections among hospitalized children. Repeated prevalence surveys are an effective tool for monitoring HAI frequency, increasing awareness among the healthcare personnel, and contributing to the establishment of effective infection control.

First Year of Mandatory Reporting of Healthcare-Associated Infections, Pennsylvania An Infection Control—Chart Abstractor Collaboration

In 2004, the Commonwealth of Pennsylvania mandated hospitals to report healthcare-associated infections (HAIs). The increased workload led our Infection Control staff to collaborate with Atlas, a group of chart abstractors. The objective of this study was to assess our first year of experience with mandatory reporting of HAIs--specifically, to assess Atlas' contribution to surveillance. Cases were selected if they had 1 or more of the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codes designated by Pennsylvania as a possible HAI. After training by the Infection Control staff, Atlas applied National Nosocomial Infection Surveillance (NNIS) system case definitions for catheter-associated urinary tract infections (UTIs) and surgical site infections (SSIs), and they applied NNIS chest imaging criteria to eliminate cases that were not ventilator-associated pneumonia (VAP). To assess Atlas' performance, Infection Control staff conducted a parallel review. For discharges from the hospital during the fourth quarter of 2004, a total of 410 UTIs, 59 SSIs, and 56 VAPs were identified on the basis of state-designated ICD-9-CM codes; review by Atlas/Infection Control determined that 15%, 15%, and 16% of cases met case definitions, respectively. Of cases reviewed by both Infection Control and Atlas, 87% of the assessments made by Atlas were correct for UTI, and 96% were correct for SSI. For VAP, Infection Control concluded that 39% of cases could be ruled out on the basis of chest imaging criteria; Atlas correctly dismissed these 12 cases but incorrectly dismissed an additional 6 (error, 19%). Surveillance was not timely: 1-2 months elapsed between the time of HAI onset and the earliest case review. With ongoing training by Infection Control, Atlas successfully demonstrated a role in retrospective HAI surveillance. However, despite a major effort to comply with mandates, time lags and other design limitations rendered the data of low utility for Infection Control. States that are planning HAI-reporting programs should standardize an efficient surveillance methodology that yields data capable of guiding interventions to prevent HAI.