Healthcare-associated infections over an eight year period in a large university hospital in Sicily (Italy, 2011–2018)

2021 ◽  
pp. 175717742110124
Author(s):  
Giusy Russo Fiorino ◽  
Marialuisa Maniglia ◽  
Valentina Marchese ◽  
Luigi Aprea ◽  
Maria V Torregrossa ◽  
...  
Keyword(s):  
Risk Factors ◽  
Data Entry ◽  
Antimicrobial Treatment ◽  
University Hospital ◽  
Healthcare Associated Infection ◽  
Fatal Disease ◽  
Klebsiella Species ◽  
Hospitalised Patients ◽  
Healthcare Associated ◽  
The Impact

Background: Up to 7% of hospitalised patients acquire at least one healthcare-associated infection (HAI). The aim of the present study was to quantify the burden of HAIs in an Italian hospital, identifying involved risk factors. Methods: Prevalence point study carried out from 2011 to 2018. For each recruited patient, a data entry form was compiled including information on demographics, hospital admission, risk factors, antimicrobial treatment, and infection if present. Results: A total of 2844 patients were included and 218 (7.03%) reported an infection. HAI prevalence rates showed a significant increase (average annual per cent change (AAPC) +33.9%; p=0.018) from 2011 to 2014 whereas from 2014 to 2018 a gradual decline was observed (AAPC –6.15%; p=0.35). Urinary tract infection was the most common HAI (25.2%) and a total of 166 (76.1%) pathogens were isolated from 218 infections. Enterococcus and Klebsiella species were the most prevalent pathogens, causing 15.1% and 14.5% of HAIs, respectively. A significant higher risk of HAIs was found in patients exposed to central catheter (adjusted odds ratio (adj-OR)=5.40), peripheral catheter (adj-OR=1.89), urinary catheter (adj-OR=1.46), National Healthcare Safety Network surgical intervention (adj-OR=1.48), ultimately fatal disease (adj-OR=2.19) or rapidly fatal disease (adj-OR=2.09) and in patients with longer hospital stay (adj-OR=1.01). Conclusion: Intervention programmes based on guidelines dissemination and personnel training can contribute to reduce the impact of HAI. Moreover, McCabe score can be a very powerful and efficient predictor of risk for HAI. Finally, an unexpected very high burden of disease due to Enterobacteriaceae and Gram positive cocci that could be related to the frequent use of carbapenems and third generation cephalosporins in this hospital was found.

scholarly journals Trends of Healthcare-associated Infections in a Tuinisian University Hospital and Impact of COVID-19 Pandemic

2021 ◽  
Vol 58 ◽  
pp. 004695802110679
Author(s):  
Hela Ghali ◽  
Asma Ben Cheikh ◽  
Sana Bhiri ◽  
Selwa Khefacha ◽  
Houyem Said Latiri ◽  
...  
Keyword(s):  
Risk Factors ◽  
Urinary Tract ◽  
Protective Factor ◽  
Bloodstream Infections ◽  
Point Prevalence ◽  
University Hospital ◽  
Healthcare Associated Infection ◽  
Tract Infections ◽  
Healthcare Associated ◽  
The Impact

Background Although efforts to manage coronavirus disease 2019 (COVID-19) pandemic have understandably taken immediate priority, the impacts on traditional healthcare-associated infection (HAI) surveillance and prevention efforts remain concerning. Aim To describe trends in HAIs in a Tunisian university hospital through repeated point prevalence surveys over 9 years, assess the impact of measures implemented for COVID-19 pandemic, and to identify associated factors of HAI. Methods The current study focused on data collected from annual point prevalence surveys conducted from 2012 to 2020. All types of HAIs as defined by the Centers for Disease Control and Prevention (CDC) were included. Data collection was carried out using NosoTun plug. Univariate and multivariate logistic analysis were used to identify HAI risk factors. Results Overall, 2729 patients were observed in the 9 surveys; the mean age was 48.3 ± 23.3 years and 57.5% were male. We identified 267 infected patients (9.8%) and 296 HAIs (10.8%). Pneumonia/lower respiratory tract infections were the most frequent HAI (24%), followed by urinary tract infection (20.9%).The prevalence of infected patients increased from 10.6% in 2012 to 14.9% in 2020. However, this increase was not statistically significant. The prevalence of HAIs increased significantly from 12.3% to 15.5% ( P =.003). The only decrease involved is bloodstream infections (from 2% to 1%). Independent risk factors significantly associated with HAI were undergoing surgical intervention (aOR = 1.7), the use of antibiotic treatment in previous 6 months (aOR = 1.8), peripheral line (aOR=2), parenteral nutrition (aOR=2.4), urinary tract within 7 days (aOR=2.4), central line (aOR = 6.3), and prosthesis (aOR = 12.8), length of stay (aOR = 3), and the year of the survey. Young age was found as protective factor (aOR = .98). Conclusion Contrary to what was expected, we noticed an increase in the HAIs rates despite the preventive measures put in place to control the COVID-19 pandemic. This was partly explained by the vulnerability of hospitalized patients during this period.

Comparison of Data Collection for Healthcare-Associated Infection Surveillance in Nursing Homes

2016 ◽  
Vol 37 (12) ◽  
pp. 1440-1445 ◽  
Author(s):  
Lauren Epstein ◽  
Nimalie D. Stone ◽  
Lisa LaPlace ◽  
Jane Harper ◽  
Ruth Lynfield ◽  
...  
Keyword(s):  
Risk Factors ◽  
Nursing Homes ◽  
Data Collection ◽  
Clinical Risk Factors ◽  
Healthcare Associated Infection ◽  
Screening Criteria ◽  
Clinical Risk ◽  
Level Data ◽  
Healthcare Associated ◽  
The Impact

OBJECTIVETo facilitate surveillance and describe the burden of healthcare-associated infection (HAI) in nursing homes (NHs), we compared the quality of resident-level data collected by NH personnel and external staff.DESIGNA 1-day point-prevalence surveySETTING AND PARTICIPANTSOverall, 9 nursing homes among 4 Centers for Disease Control and Prevention (CDC) Emerging Infection Program (EIP) sites were included in this study.METHODSNH personnel collected data on resident characteristics, clinical risk factors for HAIs, and the presence of 3 HAI screening criteria on the day of the survey. Trained EIP surveillance officers collected the same data elements via retrospective medical chart review for comparison; surveillance officers also collected available data to identify HAIs (using revised McGeer definitions). Overall agreement was calculated among residents identified by both teams with selected risk factors and HAI screening criteria. The impact of using NH personnel to collect screening criteria on HAI prevalence was assessed.RESULTSThe overall prevalence of clinical risk factors among the 1,272 residents was similar between NH personnel and surveillance officers, but the level of positive agreement (residents with factors identified by both teams) varied between 39% and 87%. Surveillance officers identified 253 residents (20%) with ≥1 HAI screening criterion, resulting in 67 residents with an HAI (5.3 per 100 residents). The NH personnel identified 152 (12%) residents with ≥1 HAI screening criterion; 42 residents had an HAI (3.5 per 100 residents).CONCLUSIONWe identified discrepancies in resident-level data collection between surveillance officers and NH personnel, resulting in varied estimates of the HAI prevalence. These findings have important implications for the design and implementation of future HAI prevalence surveys.Infect Control Hosp Epidemiol 2016;1440–1445

scholarly journals Surveillance of healthcare-associated infections in a Tunisian university hospital

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
H Hannachi ◽  
A Ben Cheikh ◽  
S Bhiri ◽  
H Ghali ◽  
S Khefacha ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
University Hospital ◽  
Healthcare Associated Infections ◽  
Drug Resistant ◽  
Healthcare Associated Infection ◽  
Carbapenem Resistant ◽  
Independent Risk Factors ◽  
Healthcare Associated

Abstract Introduction Healthcare -associated infections has become a worldwide public health problem. The aim of this study was to estimate the incidence of healthcare- associated infections in a university hospital of Tunisia. Methods This was a cohort study conducted in six intensive care units in a university hospital of Tunisia during three months (from august to October 2018). Data was provided from patients’ files. Data entry and analysis was done using SPSS version 22. Multivariate analysis was used in order to identify independent risk factors for healthcare associated infection. Results A total of 202 patients were enrolled in this study. The incidence rate of healthcare-associated infections was 53,96%(109/202). The ratio infection/infected was estimated to 1.65(109/66). The incidence of multi-drug resistant pathogens was 21,28% (43/202). The most common resistant pathogens included pseudomonas aeruginosa resistant to cefdazidime in 13,76%(15/109) followed by those resistant to extended spectrum cephalosporin 11.92% (13/109), followed by carbapenem-resistant acinetobcater baumanii 6,42%(7/109) then by carbapenem resistant pathogens and enterococcus resistant to vancomycin 2.75%(3/109) and finally staphylococcus aureus resistant to methicillin 2.1%(2/1.83). The multivariate analysis showed that long duration of central line catheterisation (RR = 7.44; 95%CI[2.79-19.82]), tracheotomy(RR = 8.61;95%CI[2.09-35,39]) and length of stay (RR = 1.08; 95%CI[1.04-1.13]) were found as independent risk factors for healthcare -associated infection. Conclusions The emergence of mutli-drug resistant pathogens needs to be deeply studied and effective measures have to be taken in order to detect and prevent transmission of resistant strains and/or their resistance determinants, especially those with phenotypes having the fewest viable treatment options. Key messages The incidence of healthcare associated infection in the intensive care unit was high. Effective measures have to be taken in the intensive care unit to detect and prevent transmission of resistant pathogens.

scholarly journals Are Invasive Procedures and a Longer Hospital Stay Increasing the Risk of Healthcare-Associated Infections among the Admitted Patients at Hiwot Fana Specialized University Hospital, Eastern Ethiopia?

2020 ◽  
Vol 2020 ◽  
pp. 1-7 ◽  
Author(s):  
Moti Tolera ◽  
Dadi Marami ◽  
Degu Abate ◽  
Merga Dheresa
Keyword(s):  
Cigarette Smoking ◽  
Hospital Stay ◽  
University Hospital ◽  
Infection Prevention And Control ◽  
Healthcare Associated Infections ◽  
Invasive Procedures ◽  
Healthcare Associated Infection ◽  
Eastern Ethiopia ◽  
Healthcare Associated ◽  
The Impact

Background. Healthcare-associated infection is a major public health problem, in terms of mortality, morbidity, and costs. Majorities of the cause of these infections were preventable. Understanding the potential risk factors is important to reduce the impact of these avoidable infections. The study was aimed to identify factors associated with healthcare-associated infections among patients admitted at Hiwot Fana Specialized University Hospital, Harar, Eastern Ethiopia. Methods. A cross-sectional study was carried out among 433 patients over a period of five months at Hiwot Fana Specialized University Hospital. Sociodemographic and clinical data were obtained from a patient admitted for 48 hours and above in the four wards (surgical, medical, obstetrics/gynecology, and pediatrics) using a structured questionnaire. A multivariate logistic regression model was applied to identify predictors of healthcare-associated infections. A p value <0.05 was considered statistically significant. Results. Fifty-four (13.7%) patients had a history of a previous admission. The median length of hospital stay was 6.1 days. Forty-six (11.7%) participants reported comorbid conditions. Ninety-six (24.4%) participants underwent surgical procedures. The overall prevalence of healthcare-associated infection was 29 (7.4%, 95% CI: 5.2–10.6). Cigarette smoking (AOR: 5.18, 95% CI: 2.15–20.47), staying in the hospital for more than 4 days (AOR: 4.29, 95% CI: 2.31–6.15), and undergoing invasive procedures (AOR: 3.58, 95% CI: 1.11–7.52) increase the odds of acquiring healthcare-associated infections. Conclusion. The cumulative prevalence of healthcare-associated infections in this study was comparable with similar studies conducted in developing countries. Cigarette smoking, staying in the hospital for more than 4 days, and undergoing invasive procedures increase the odds of healthcare-associated infections. These factors should be considered in the infection prevention and control program of the hospital.

scholarly journals Estimating extra length of stay and risk factors of mortality attributable to healthcare-associated infection at a Chinese university hospital: a multi-state model

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Qian Zhou ◽  
Lili Fan ◽  
Xiaoquan Lai ◽  
Li Tan ◽  
Xinping Zhang
Keyword(s):  
Risk Factors ◽  
Length Of Stay ◽  
Cox Regression ◽  
State Model ◽  
University Hospital ◽  
Current Evidence ◽  
Healthcare Associated Infection ◽  
Risk Of Mortality ◽  
Male Patients ◽  
Healthcare Associated

Abstract Background The current evidence of extra length of stay (LOS) attributable to healthcare-associated infection (HCAI) scarcely takes time-dependent bias into consideration. Plus, limited evidences were from developing countries. We aim to estimate the extra LOS and risk factors of mortality attributable to HCAI for inpatients. Methods Multi-state model (MSM) was adopted to estimate the extra LOS attributable to HCAI of each type and subgroup. COX regression model was used to examine the risk of mortality. Results A total of 51,691 inpatients were included and 1709 (3.31%) among them developed HCAI. Lower respiratory tract infection and Acinetobacter baumannii were the most prevalent HCAI and causative pathogen in surveyed institute. Generally, the expected extra LOS attributable to HCAI was 2.56 days (95% confidence interval: 2.54–2.61). Patients below 65 had extra LOS attributable to HCAI longer about 2 days than those above. The extra LOS attributable to HCAI of male patients was 1.33 days longer than female. Meanwhile, age above 65 years old and HCAI were the risk factors of mortality for inpatients. Conclusions HCAI contributes to an increase in extra LOS of inpatients in China. The effect of HCAI on extra LOS is different among subgroups, with the age below 65, male and medicine department more sensitive.

scholarly journals Prospective surveillance of hospital associated infections epidemiology in a haematology-oncology department

2019 ◽  
Vol 15 (1) ◽  
Author(s):  
Nabiha Bouafia ◽  
Asma Ammar ◽  
Olfa Ezzi ◽  
Asma Ben Chiekh ◽  
Mohamed Mahjoub ◽  
...  
Keyword(s):  
Risk Factors ◽  
Multivariate Analyses ◽  
University Hospital ◽  
Prospective Surveillance ◽  
Tertiary Teaching ◽  
Tertiary Teaching Hospital ◽  
Oncology Unit ◽  
A Prospective Study ◽  
Healthcare Associated ◽  
Hospital Associated Infections

In haematology-oncology, intensified procedures have been associated with higher risk of healthcare associated infections (HAIs).This study aimed to estimate the incidence and to identify risk factors of HAIs in a haematology-oncology unit in a Tunisian university hospital. We conducted a prospective study, during 06 months from Mars through September 2016 in the department of hematology- oncology in a tertiary teaching hospital in Tunisia. Patients, admitted for ≥48 h, were followed until hospital discharge. The (CDC) criteria for site-specific infections were used to define HAIs. Bivariate and multivariate analyses were performed to identify risk factors of HAIs. P

scholarly journals 175. There Was a Fungus Among Us: A Cohort of Fungal Infectious Endocarditis Cases in East Tennessee

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S110-S111
Author(s):  
Morgan K Morelli ◽  
William Lorson ◽  
Mahmoud Shorman
Keyword(s):  
Risk Factors ◽  
Fungal Pathogen ◽  
Heart Valves ◽  
University Hospital ◽  
Prosthetic Heart Valves ◽  
Inclusion Criteria ◽  
Persons Who Inject Drugs ◽  
East Tennessee ◽  
High Index Of Suspicion ◽  
Healthcare Associated

Abstract Background Fungal infective endocarditis (IE) represents less than 2% of all IE cases, but it carries a mortality rate as high as 50%. While cases of IE are on the rise in recent years due to the increased prevalence of persons who inject drugs (PWID), there are few published studies of fungus as the cause. Candida species is the most likely fungal pathogen in IE. Known risk factors include prosthetic heart valves, healthcare-associated infections, and injection drug use. Since fungi are a rare culprit in endocarditis, there is little information on incidence, treatment recommendations, and outcomes. Methods A retrospective cohort of patients with Candida IE was analyzed between October 2013 and September 2018 at a university hospital in East Tennessee. Demographic, microbiologic, substance use status, mortality, and echocardiographic data were collected. Results Nine patients with Candida IE met inclusion criteria. Mean age was 37, 67% were males. Risk factors included PWID, oral opioid abuse, previous valve surgery and autoimmune disease. 5 (55%) were caused by Candida albicans, 3 (33.3%) Candida paraipsalosis, and 1 (11%) grew both Candida tropicalis and albicans. Valves involved: 4 (66.7%) native tricuspid, 2 (22%) native aortic. 2 (22%) had native mitral, 1 (11%) had both tricuspid and mitral valve involvement. Echinocandins were used in 5 (55%) and 2 (22%) underwent surgery. There was 1 (11%) in-hospital mortality and 2 (22%) within 1 year of discharge (Table 1). Conclusion Fungal IE is a rare disease with high mortality and increasing incidence, especially in PWID. High index of suspicion is required for early diagnosis. Treatment is traditionally a combination of surgery and antifungal therapy. Although, medical treatment alone can be successful in patients who are not surgical candidates, such as in PWID. Disclosures All authors: No reported disclosures.

scholarly journals Impact of antibiotic resistance on outcomes of neutropenic cancer patients withPseudomonas aeruginosabacteraemia (IRONIC study): study protocol of a retrospective multicentre international study

BMJ Open ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. e025744 ◽  
Author(s):  
Adaia Albasanz-Puig ◽  
Carlota Gudiol ◽  
Rocío Parody ◽  
Cristian Tebe ◽  
Murat Akova ◽  
...  
Keyword(s):  
Risk Factors ◽  
Antibiotic Resistance ◽  
Cancer Patients ◽  
Case Fatality ◽  
International Study ◽  
Multidrug Resistant ◽  
University Hospital ◽  
Personal Privacy ◽  
Haematological Patients ◽  
The Impact

IntroductionPseudomonas aeruginosa(PA) has historically been one of the major causes of severe sepsis and death among neutropenic cancer patients. There has been a recent increase of multidrug-resistant PA (MDRPA) isolates that may determine a worse prognosis, particularly in immunosuppressed patients. The aim of this study is to establish the impact of antibiotic resistance on the outcome of neutropenic onco-haematological patients with PA bacteraemia, and to identify the risk factors for MDRPA bacteraemia and mortality.Methods and analysisThis is a retrospective, observational, multicentre, international study. All episodes of PA bacteraemia occurring in neutropenic onco-haematological patients followed up at the participating centres from 1 January 2006 to 31 May 2018 will be retrospectively reviewed. The primary end point will be overall case-fatality rate within 30 days of onset of PA bacteraemia. The secondary end points will be to describe the following: the incidence and risk factors for multidrug-resistant and extremely drug-resistant PA bacteraemia (by comparing the episodes due to susceptible PA with those produced by MDRPA), the efficacy of ceftolozane/tazobactam, the rates of persistent bacteraemia and bacteraemia relapse and the risk factors for very early (48 hours), early (7 days) and overall (30 days) case-fatality rates.Ethics and disseminationThe Clinical Research Ethics Committee of Bellvitge University Hospital approved the protocol of the study at the primary site. To protect personal privacy, identifying information of each patient in the electronic database will be encrypted. The processing of the patients’ personal data collected in the study will comply with the Spanish Data Protection Act of 1998 and with the European Directive on the privacy of data. All data collected, stored and processed will be anonymised. Results will be reported at conferences and in peer-reviewed publications.

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