scholarly journals A 10-year Review of Clostridium difficile Infection in Acute Care Hospitals in the United States

2017 ◽  
Vol 4 (suppl_1) ◽  
pp. S393-S393
Author(s):  
Ruihong Luo ◽  
Tamar Barlam ◽  
Janice Weinberg
Keyword(s):  
Risk Factors ◽  
Hospital Mortality ◽  
Acute Care ◽  
Acute Care Hospitals ◽  
The United States ◽  
Health Facilities ◽  
Annual Rate ◽  
Hospital Charges ◽  
Hospital Death

Abstract Background Many strategies reported to decrease CDI occurrence have been implemented in acute care hospitals in recent years. We assessed the change in incidence, mortality and hospital charges of CDI patients in acute care hospitals during 2005–2014. We also investigated risk factors for hospital-onset CDI (HOCDI) and predictive factors for mortality of CDI patients. Methods Using the Nationwide Inpatient Sample database, we identified adult patients (¡Ý 18 years) with CDI by ICD-9-CM codes. The trends of CDI incidence, mortality and hospital charges were evaluated by Poisson regression. The risk for HOCDI and factors to predict in-hospital death of CDI patients were analyzed by logistic regression. Results 3,337,910 cases of CDI were identified out of a total of 318,703,355 hospitalizations (1.05%). Incidences of non-HOCDI and HOCDI were 0.42% and 0.63% respectively. In the 10-year study period, CDI incidence increased with an annual rate of 3.3% (P < 0.001). The annual incidences of HOCDI and non-HOCDI increased with a rate of 1.4% and 2.0% respectively (P < 0.001). After adjusting for demographics, length of hospital stay and Charlson index, transfer from long-term health facilities (OR=2.02, 95% CI 1.83–2.23) and admission to a teaching hospital (OR=1.10, 95% CI 1.05–1.15) were independent risk factors for HOCDI. The in-hospital mortality of CDI associated hospitalization decreased from 9.7% in 2005 to 6.8% in 2014 (P < 0.001). Transfer from long-term health facilities significantly predicted the risk for in-hospital death in CDI patients (OR= 1.34, 95% CI 1.32–1.36). The sum charge of all CDI hospitalizations increased with an annual rate of 2.0% (P < 0.001). The median charge per CDI hospitalization increased during 2005–2009 (P < 0.001), and then decreased during 2010–2014 (P < 0.001). Conclusion During 2005–2014, the mortality in CDI hospitalized patients decreased, but CDI incidence in acute care hospitals increased, resulting in increased total CDI associated hospital charges. Patients transferred from long-term healthcare facilities increased the risk for HOCDI and CDI associated in-hospital mortality. They should be considered as high-risk patients for CDI surveillance when developing mitigation strategies. Disclosures All authors: No reported disclosures.

scholarly journals Antibiotic Multidrug Resistance of Escherichia coli Causing Device- and Procedure-related Infections in the United States Reported to the National Healthcare Safety Network, 2013–2017

2020 ◽  
Author(s):  
Athena P Kourtis ◽  
Edward A Sheriff ◽  
Lindsey M Weiner-Lastinger ◽  
Kim Elmore ◽  
Leigh Ellyn Preston ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Multidrug Resistance ◽  
Acute Care ◽  
Acute Care Hospitals ◽  
The United States ◽  
E Coli ◽  
National Healthcare ◽  
National Healthcare Safety Network ◽  
Hospital Referral

Abstract Background Escherichia coli is one of the most common causes of healthcare-associated infections (HAIs); multidrug resistance reduces available options for antibiotic treatment. We examined factors associated with the spread of multidrug-resistant E. coli phenotypes responsible for device- and procedure-related HAIs from acute care hospitals, long-term acute care hospitals, and inpatient rehabilitation facilities, using isolate and antimicrobial susceptibility data reported to the National Healthcare Safety Network during 2013–2017. Methods We used multivariable logistic regression to examine associations between co-resistant phenotypes, patient and healthcare facility characteristics, and time. We also examined the geographic distribution of co-resistant phenotypes each year by state and by hospital referral region to identify hot spots. Results A total of 96 672 E. coli isolates were included. Patient median age was 62 years, and 60% were female; more than half (54%) were reported from catheter-associated urinary tract infections. From 2013 to 2017, 35% of the isolates were nonsusceptible to fluoroquinolones (FQs), 17% to extended-spectrum cephalosporins (ESCs), and 13% to both ESCs and FQs. The proportion of isolates co-resistant to ESCs and FQs was higher in 2017 (14%) than in 2013 (11%) (P < .0001); overall prevalence and increases were heterogeneously distributed across healthcare referral regions. Co-resistance to FQs and ESCs was independently associated with male sex, central line–associated bloodstream infections, long-term acute care hospitals, and the 2016–2017 (vs 2013–2014) reporting period. Conclusions Multidrug resistance among E. coli causing device- and procedure-related HAIs has increased in the United States. FQ and ESC co-resistant strains appear to be spreading heterogeneously across hospital referral regions.

scholarly journals Evaluation of Patient Risk Factors for Carbapenemase-Producing Organism Colonization

2020 ◽  
Vol 41 (S1) ◽  
pp. s229-s230
Author(s):  
Carolyn Stover ◽  
Allison Chan ◽  
Snigdha Vallabhaneni ◽  
Allison Brown ◽  
Amelia Keaton ◽  
...  
Keyword(s):  
Risk Factors ◽  
Mechanical Ventilation ◽  
Antibiotic Resistance ◽  
Nursing Homes ◽  
Acute Care ◽  
Acute Care Hospitals ◽  
Stool Incontinence ◽  
A Value ◽  
Admission Screening

Background: Carbapenemase-producing organisms (CPOs) are a growing antibiotic resistance threat. Colonization screening can be used to identify asymptomatically colonized individuals for implementation of transmission-based precautions. Identifying high-risk patients and settings to prioritize screening recommendations can preserve facility resources. To inform screening recommendations, we analyzed CPO admission screens and screening conducted on point-prevalence surveys (PPSs) performed through the Antibiotic Resistance Laboratory Network’s Southeast Regional Laboratory (SE AR Lab Network). Methods: During 2017–2019, the SE AR Lab Network collected data via a REDCap survey for a subset of CPO screens on a limited set of easily determined patient risk factors. Rectal swabs were collected and tested with the Cepheid Carba-R. Specimens collected within 2 days of admission were classified as admission screening and the remainder were classified as PPS. Index cases were excluded from analyses. Odd ratios (ORs) and 95% confidence intervals were calculated, and a value of 0.1 was used for cells with a value of zero. Results: In total, 520 screens were conducted, which included 366 admission screens at 2 facilities and 154 screens from 27 PPSs at 8 facilities. CPOs were detected in 14 (2.7%) screens, including in 10 (2.7%) admission screens and in 4 (2.6%) contacts during PPSs; carbapenemases detected were Klebsiella pneumoniae carbapenemase (KPC) (n = 12), New Delhi Metallo-β-lactamase (NDM) (n = 1) and Verona Integron-Encoded Metallo-β-lactamase (VIM) (n = 1). One long-term acute care hospital (LTACH) performed universal admission screening, which accounted for 96% of admission screens and all 10 CPOs detected by admission screening. Mechanical ventilation (OR, 5.0; 95% CI, 1.4–18.0) and the presence of a tracheostomy (OR, 5.4; 95% CI, 1.5–19.4) were associated with a positive admission screen. Moreover, 8 facilities conducted PPSs: 4 acute care hospitals, 2 long-term acute care hospitals, and 2 nursing homes. CPO prevalence in long-term acute care hospitals was 4.8% (2 of 42), 2.4% (1 of 41) in acute care hospitals, and 1.5% (1 of 69) in nursing homes. Requiring assistance with bathing (OR, 4.8; 95% CI, 1.6–8.0) and stool incontinence (OR, 16.6; 95% CI, 13.4–19.8) were associated with a positive screen on PPSs. All 7 roommates of known cases tested negative for CPO colonization. Conclusions: Findings suggest that patients with certain easily assessed characteristics, such as mechanical ventilation, tracheostomy, or stool incontinence or who require bathing assistance, may be associated with CPO positivity during screening. Further data collection and analysis of such risk factors may provide insight for the development of more targeted admission and contact screening strategies.Funding: NoneDisclosures: None

In-Hospital Mortality for Surgical Repair of Congenital Heart Defects: Preliminary Observations of Variation by Hospital Caseload

PEDIATRICS ◽  
1995 ◽  
Vol 95 (3) ◽  
pp. 323-330 ◽  
Author(s):  
Kathy J. Jenkins ◽  
Jane W. Newburger ◽  
James E. Lock ◽  
Roger B. Davis ◽  
Gerald A. Coffman ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Acute Care ◽  
Congenital Heart Defects ◽  
Congenital Heart Defect ◽  
Congenital Heart ◽  
Surgical Repair ◽  
Heart Defects ◽  
Hospital Charges ◽  
Hospital Death ◽  
Heart Defect

Objective. To examine the impact of hospital caseload on in-hospital mortality for pediatric congenital heart surgery. Design. Population-based, retrospective cohort study. Setting. Acute care hospitals in California and Massachusetts. Patients. Children undergoing surgery for congenital heart disease, identified by the presence of procedure codes indicating surgical repair of a congenital heart defect in computerized statewide hospital discharge abstract databases. Cases were grouped into four categories based on the complexity of the procedure. Main outcome measures. Adjusted odds ratios (OR) for in-hospital death were estimated using generalized estimating equations that account for the intra-institutional correlation among patients. Results. A total of 2833 cases at 37 centers were identified. Compared with centers performing >300 cases per year, after controlling for patient characteristics, centers performing <10 cases per year had an OR for in-hospital death of 7.7 (95% confidence interval (CI) [1.6-37.8]); 10 to 100 cases, OR = 2.9 (95% CI [1.6-5.3]); 101 to 300 cases, OR = 3.0 (95% CI [1.8-4.9]). Independent risk factors for mortality included procedure complexity category (P < .0001), use of cardiopulmonary bypass (P < .0001), young age at surgery (P = .001), and transfer from another acute care hospital (P < .0001). Few differences were found by hospital caseload in length of stay or total hospital charges. Conclusions. For children with a congenital heart defect who underwent surgery in California in 1988 or Massachusetts in 1989, the risk of dying in-hospital was much lower if the surgery was performed at an institution performing >300 cases annually. This study was limited by the absence of clinical detail in discharge abstract databases. If these findings are corroborated by other studies, health care delivery strategies that direct children requiring surgical correction of congenital heart defects to high-volume centers may substantially reduce overall mortality.

Prognostic Factors and Outcomes in Young Patients With Presented of Different Types Acute Coronary Syndrome

Angiology ◽  
2020 ◽  
Vol 71 (10) ◽  
pp. 894-902
Author(s):  
Sabiye Yılmaz ◽  
Kahraman Coşansu
Keyword(s):  
Risk Factors ◽  
Heart Failure ◽  
Acute Coronary Syndrome ◽  
Hospital Mortality ◽  
Young Patients ◽  
Hospital Death ◽  
Coronary Syndrome ◽  
Different Types ◽  
Long Term Mortality

The prevalence of coronary artery disease is increasing in young adults. We evaluated the outcomes of different types of acute coronary syndrome in 917 patients undergoing coronary angiography aged ≤45 years. Male sex, smoking, dyslipidemia were the most important risk factors. ST-elevation myocardial infarction (STEMI; 54.8%) predominated. The STEMI patients had higher risk of hospital mortality (3.6% vs 0.6%; P = .004) and major adverse cardiac and cerebrovascular events (MACCE; 13.8% vs 3.3%; P < .001, hazard ratio [HR], 4.65; 95% CI, 2.45-8.82). Presentation heart rate, blood pressure, heart failure, shock, arrhythmia, ejection fraction (EF), diabetes, contrast-induced nephropathy (CIN), and elevated troponin were associated with hospital mortality and MACCE. But only heart failure (HR, 5.816; 95% CI, 2.254-15.008) and CIN (HR, 6.241; 95% CI, 2.340-16.641) were independent risk factors for hospital MACCE. There was no difference in long-term mortality between the 2 groups, but non-STEMI patients had higher risk for MACCE after 3 years (14.4% vs 9.9%, P = .033). Although shock (HR, 0.814; 95% CI, 0.699-0.930), Killip class ≥2 (HR, 0.121; 95% CI, 0.071-0.170), CIN (HR, 0.323; 95% CI, 0.265-0.380), and EF (HR, 0.917; 95% CI, 0.854-0.984) were independent predictors of hospital death, only EF was the independent predictor of long-term mortality (HR, 0.897; 95% CI, 0.852-0.944).

Admission Surveillance for Carbapenamase-Producing Enterobacteriaceae at a Long-Term Acute Care Hospital

2013 ◽  
Vol 34 (8) ◽  
pp. 832-834 ◽  
Author(s):  
Jessica D. Lewis ◽  
Matthew Bishop ◽  
Brenda Heon ◽  
Amy J. Mathers ◽  
Kyle B. Enfield ◽  
...  
Keyword(s):  
United States ◽  
Prospective Study ◽  
Acute Care ◽  
Acute Care Hospital ◽  
Acute Care Hospitals ◽  
The United States ◽  
Routine Screening ◽  
Care Hospital ◽  
High Prevalence

Carbapenemase-producing Enterobacteriaceae (CPE) are of increasing prevalence worldwide, and long-term acute care hospitals (LTACHs) have been implicated in several outbreaks in the United States. This prospective study of routine screening for CPE on admission to a LTACH demonstrates a high prevalence of CPE colonization in central Virginia.

Risk factors and clinical outcomes associated with blood culture contamination

2021 ◽  
pp. 1-7
Author(s):  
Justin M. Klucher ◽  
Kevin Davis ◽  
Mrinmayee Lakkad ◽  
Jacob T. Painter ◽  
Ryan K. Dare
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Blood Culture ◽  
Hospital Mortality ◽  
Clinical Outcomes ◽  
Tertiary Care ◽  
Blood Cultures ◽  
Hospital Charges ◽  
Patient Specific ◽  
Contaminated Blood

Abstract Objective: To determine patient-specific risk factors and clinical outcomes associated with contaminated blood cultures. Design: A single-center, retrospective case-control risk factor and clinical outcome analysis performed on inpatients with blood cultures collected in the emergency department, 2014–2018. Patients with contaminated blood cultures (cases) were compared to patients with negative blood cultures (controls). Setting: A 509-bed tertiary-care university hospital. Methods: Risk factors independently associated with blood-culture contamination were determined using multivariable logistic regression. The impacts of contamination on clinical outcomes were assessed using linear regression, logistic regression, and generalized linear model with γ log link. Results: Of 13,782 blood cultures, 1,504 (10.9%) true positives were excluded, leaving 1,012 (7.3%) cases and 11,266 (81.7%) controls. The following factors were independently associated with blood-culture contamination: increasing age (adjusted odds ratio [aOR], 1.01; 95% confidence interval [CI], 1.01–1.01), black race (aOR, 1.32; 95% CI, 1.15–1.51), increased body mass index (BMI; aOR, 1.01; 95% CI, 1.00–1.02), chronic obstructive pulmonary disease (aOR, 1.16; 95% CI, 1.02–1.33), paralysis (aOR 1.64; 95% CI, 1.26–2.14) and sepsis plus shock (aOR, 1.26; 95% CI, 1.07–1.49). After controlling for age, race, BMI, and sepsis, blood-culture contamination increased length of stay (LOS; β = 1.24 ± 0.24; P < .0001), length of antibiotic treatment (LOT; β = 1.01 ± 0.20; P < .001), hospital charges (β = 0.22 ± 0.03; P < .0001), acute kidney injury (AKI; aOR, 1.60; 95% CI, 1.40–1.83), echocardiogram orders (aOR, 1.51; 95% CI, 1.30–1.75) and in-hospital mortality (aOR, 1.69; 95% CI, 1.31–2.16). Conclusions: These unique risk factors identify high-risk individuals for blood-culture contamination. After controlling for confounders, contamination significantly increased LOS, LOT, hospital charges, AKI, echocardiograms, and in-hospital mortality.

scholarly journals Characterization and evolution of infection control practices among SARS-CoV-2 infected healthcare workers of acute care hospitals and long-term care facilities in Quebec, Canada, Spring 2020

2021 ◽  
pp. 1-37
Author(s):  
Sara Carazo ◽  
Denis Laliberté ◽  
Jasmin Villeneuve ◽  
Richard Martin ◽  
Pierre Deshaies ◽  
...  
Keyword(s):  
Acute Care ◽  
Attack Rate ◽  
Healthcare Workers ◽  
Long Term Care ◽  
Acute Care Hospitals ◽  
Exposure Period ◽  
Infection Prevention And Control ◽  
Term Care ◽  
Care Facilities

ABSTRACT Objectives: To estimate the SARS-CoV-2 infection rate and the secondary attack rate among healthcare workers (HCWs) in Quebec, the most affected province of Canada during the first wave; to describe the evolution of work-related exposures and infection prevention and control (IPC) practices in infected HCWs; and to compare the exposures and practices between acute care hospitals (ACHs) and long-term care facilities (LTCFs). Design: Survey of cases Participants: Quebec HCWs from private and public institutions with laboratory-confirmed COVID-19 diagnosed between 1st March and 14th June 2020. HCWs ≥18 years old, having worked during the exposure period and survived their illness were eligible for the survey. Methods: After obtaining consent, 4542 HCWs completed a standardized questionnaire. COVID-19 rates and proportions of exposures and practices were estimated and compared between ACHs and LTCFs. Results: HCWs represented 25% (13,726/54,005) of all reported COVID-19 cases in Quebec and had an 11-times greater rate than non-HCWs. Their secondary household attack rate was 30%. Most affected occupations were healthcare support workers, nurses and nurse assistants, working in LTCFs (45%) and ACHs (30%). Compared to ACHs, HCWs of LTCFs had less training, higher staff mobility between working sites, similar PPE use but better self-reported compliance with at-work physical distancing. Sub-optimal IPC practices declined over time but were still present at the end of the first wave. Conclusion: Quebec HCWs and their families were severely affected during the first wave of COVID-19. Insufficient pandemic preparedness and suboptimal IPC practices likely contributed to high transmission in both LTCFs and ACHs.

Preparation of Children for Hospitalization in Acute Care Hospitals in the United States

PEDIATRICS ◽  
1981 ◽  
Vol 68 (3) ◽  
pp. 361-368
Author(s):  
Pat Azarnoff ◽  
Patricia D. Woody
Keyword(s):  
United States ◽  
Acute Care ◽  
Group Discussion ◽  
Acute Care Hospitals ◽  
The United States ◽  
Pediatric Care ◽  
Children's Hospitals ◽  
General Hospitals ◽  
Psychological Preparation ◽  
Children’S Hospitals

To study the prevalence and nature of psychological preparation for pediatric care, children's hospitals and acute care general hospitals were surveyed, and 24 hospitals were visited. Of 1,427 hospitals responding, 468 (33%) provided regular, planned preparation services. Prior to hospitalization, group tours and group discussion were the two most frequently used methods. During hospitalization, children learned informally as events occurred, usually through conversations.

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