Impacto y características de la gripe nosocomial a lo largo de 10 temporadas en un hospital universitario de tercer nivel / Impact and characteristics of hospital-acquired influenza over 10 seasons in a third-level university hospital

Objetivos: Analizar las características de los pacientes con gripe nosocomial, compararlas con las de los enfermos con diagnóstico de gripe comunitaria para estudiar posibles diferencias e identificar posibles factores de riesgo asociados a este tipo de gripe. Pacientes y métodos: Estudio observacional, transversal y retrospectivo de los pacientes hospitalizados con diagnóstico microbiológico de gripe en un hospital universitario de tercer nivel durante 10 temporadas, de 2009 a 2019. Se definió como gripe nosocomial aquella infección cuyos síntomas comenzaron 72 h después del ingreso hospitalario y se analizó su incidencia, características y consecuencias. Resultados: Se incluyó a un total de 1.260 pacientes hospitalizados con diagnóstico microbiológico de gripe, de los cuales 110 (8,7%) fueron nosocomiales. Los pacientes con gripe adquirida en el hospital eran más jóvenes (71,74±16,03 años; p=0,044), tuvieron una estancia hospitalaria mayor (24,25±20,25 días; p<0,001), tenían con mayor frecuencia antecedentes de enfermedades pulmonares crónicas (p=0,010), inmunodeficiencias (p<0,001) y se asociaron con mayor desarrollo de sobreinfección bacteriana (p<0,001), distrés respiratorio (p=0,003) e ingreso en la unidad de cuidados intensivos (UCI) (p<0,001). En el análisis por regresión logística multivariante se identificaron como factores de riesgo independientes: inmunodeficiencia (ORa=2,33; IC 95%: 1,47-3,60); ingreso en UCI (ORa=4,29; IC 95%: 2,23-10,91); desarrollo de sobreinfección bacteriana (ORa=1,64; IC 95%: 1,06-2,53) y de distrés respiratorio (ORa=3,88; IC 95%: 1,23-12,23).Conclusiones: La gripe nosocomial es más frecuente en los pacientes con antecedentes de inmunodeficiencia. Además, los enfermos con gripe hospitalaria tienen un riesgo aumentado de sobreinfección bacteriana, ingreso en UCI y desarrollo de distrés respiratorio.(AU)

Objectives: To analyze the characteristics of patients with nosocomial flu, to compare them with patients with community-acquired influenza to study possible differences and to identify possible risk factors associated with this type of flu. Patients and methodsObservational, cross-sectional and retrospective study of hospitalized patients with a microbiological confirmation of influenza in a third-level university hospital over 10seasons, from 2009 to 2019. Nosocomial influenza was defined as that infection whose symptoms began 72h after hospital admission, and its incidence, characteristics and consequences were further analyzed. Results: A total of 1260 hospitalized patients with a microbiological diagnosis of influenza were included, which 110 (8.7%) were nosocomial. Patients with hospital-acquired influenza were younger (71.74±16.03 years, P=0.044), had a longer hospital stay (24.25±20.25 days, P<0.001), had more frequently a history of chronic pulmonary pathologies (P=0.010), immunodeficiency (P<0.001), and were associated with greater development of bacterial superinfection (P<0.001), respiratory distress (P=0.003), and admission to the intensive care unit (ICU) (P<0.001). In the multivariate logistic regression analysis, the following characteristics were identified as independent risk factors: immunodeficiency (ORa=2.33; 95% CI: 1.47-3.60); ICU admission (ORa=4.29; 95% CI: 2.23-10.91); bacterial superinfection (ORa=1.64; 95% CI: 1.06-2.53) and respiratory distress (ORa=3.88; 95% CI: 1.23-12.23). Conclusions: Nosocomial influenza is more common in patients with a history of immunodeficiency. In addition, patients with hospital-acquired influenza had an increased risk of bacterial superinfection, admission to the ICU, and development of respiratory distress.(AU)

Cost-effectiveness analysis of an active 30-day surgical site infection surveillance at a tertiary hospital in Ghana: evidence from HAI-Ghana study.

OBJECTIVE: To assess the cost-effectiveness of an active 30-day surgical site infection (SSI) surveillance mechanism at a referral teaching hospital in Ghana using data from healthcare-associated infection Ghana (HAI-Ghana) study. DESIGN: Before and during intervention study using economic evaluation model to assess the cost-effectiveness of an active 30-day SSI surveillance at a teaching hospital. The intervention involves daily inspection of surgical wound area for 30-day postsurgery with quarterly feedback provided to surgeons. Discharged patients were followed up by phone call on postoperative days 3, 15 and 30 using a recommended surgical wound healing postdischarge questionnaire. SETTING: Korle-Bu Teaching Hospital (KBTH), Ghana. PARTICIPANTS: All prospective patients who underwent surgical procedures at the general surgical unit of the KBTH. MAIN OUTCOME MEASURES: The primary outcome measures were the avoidable SSI morbidity risk and the associated costs from patient and provider perspectives. We also reported three indicators of SSI severity, that is, length of hospital stay (LOS), number of outpatient visits and laboratory tests. The analysis was performed in STATA V.14 and Microsoft Excel. RESULTS: Before-intervention SSI risk was 13.9% (62/446) as opposed to during-intervention 8.4% (49/582), equivalent to a risk difference of 5.5% (95% CI 5.3 to 5.9). SSI mortality risk decreased by 33.3% during the intervention while SSI-attributable LOS decreased by 32.6%. Furthermore, the mean SSI-attributable patient direct and indirect medical cost declined by 12.1% during intervention while the hospital costs reduced by 19.1%. The intervention led to an estimated incremental cost-effectiveness ratio of US$4196 savings per SSI episode avoided. At a national scale, this could be equivalent to a US$60 162 248 cost advantage annually. CONCLUSION: The intervention is a simple, cost-effective, sustainable and adaptable strategy that may interest policymakers and health institutions interested in reducing SSI.

Descriptive Epidemiology and Outcomes of Nonventilated Hospital-Acquired, Ventilated Hospital-Acquired, and Ventilator-Associated Bacterial Pneumonia in the United States, 2012-2019.

OBJECTIVES: Multiple randomized controlled trials exploring the outcomes of patients with ventilator-associated bacterial pneumonia and hospital-acquired bacterial pneumonia have noted that hospital-acquired bacterial pneumonia patients who require subsequent ventilated hospital-acquired bacterial pneumonia suffered higher mortality than either those who did not (nonventilated hospital-acquired bacterial pneumonia) or had ventilator-associated bacterial pneumonia. We examined the epidemiology and outcomes of all three conditions in a large U.S. database. DESIGN: Retrospective cohort. SETTING: Two hundred fifty-three acute-care hospitals, United States, contributing data (including microbiology) to Premier database, 2012-2019. PATIENTS: Patients with hospital-acquired bacterial pneumonia or ventilator-associated bacterial pneumonia identified based on a slightly modified previously published International Classification of Diseases, 9th Edition/International Classification of Diseases, 10th Edition-Clinical Modification algorithm. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Among 17,819 patients who met enrollment criteria, 26.5% had nonventilated hospital-acquired bacterial pneumonia, 25.6% vHAPB, and 47.9% ventilator-associated bacterial pneumonia. Ventilator-associated bacterial pneumonia predominated in the Northeastern United States and in large urban teaching hospitals. Patients with nonventilated hospital-acquired bacterial pneumonia were oldest (mean 66.7 ± 15.1 yr) and most likely White (76.9%), whereas those with ventilator-associated bacterial pneumonia were youngest (59.7 ± 16.6 yr) and least likely White (70.3%). Ventilated hospital-acquired bacterial pneumonia was associated with the highest comorbidity burden (mean Charlson score 4.1 ± 2.8) and ventilator-associated bacterial pneumonia with the lowest (3.2 ± 2.5). Similarly, hospital mortality was highest among patients with ventilated hospital-acquired bacterial pneumonia (29.2%) and lowest in nonventilated hospital-acquired bacterial pneumonia (11.7%), with ventilator-associated bacterial pneumonia in-between (21.3%). Among survivors, 24.5% of nonventilated hospital-acquired bacterial pneumonia required a rehospitalization within 30 days of discharge, compared with 22.5% among ventilated hospital-acquired bacterial pneumonia and 18.8% ventilator-associated bacterial pneumonia. Unadjusted hospital length of stay after infection onset was longest among ventilator-associated bacterial pneumonia and shortest among nonventilated hospital-acquired bacterial pneumonia patients. Median total hospital costs mirrored length of stay: ventilator-associated bacterial pneumonia $77,657, ventilated hospital-acquired bacterial pneumonia $62,464, and nonventilated hospital-acquired bacterial pneumonia $39,911. CONCLUSIONS: Both hospital-acquired bacterial pneumonia and ventilator-associated bacterial pneumonia remain associated with significant mortality and cost in the United States. Our analyses confirm that of all three conditions, ventilated hospital-acquired bacterial pneumonia carries the highest risk of death. In contrast, ventilator-associated bacterial pneumonia remains most costly. Nonventilated hospital-acquired bacterial pneumonia survivors were most likely to require a readmission within 30 days of discharge.

Nosocomial infections as one of the most important problems of healthcare system.

Healthcare-associated infections (HAI) are commonly defined as adverse events resulting from the provision of healthcare. The reduction of risk arising from the spread of pathogenic microorganisms in the hospital environment is a considerable challenge in the context of the proper functioning of the medical services sector. The financial costs of hospitals resulting from HAI are a serious problem for the Polish healthcare system. The spread of strains with a high level of drug resistance in individual hospitals is associated with the local epidemiological situation. In 2015-2017, there was a high increase in the number of infections caused by New Delhi strains. The highest increase due to this strain occurred in Mazowieckie and Podlasie provinces. The dynamics of infection caused by New Delhi strains throughout Poland in 2015-2016 indicated an increase of 278.7%. In 2017, the phenomenon of antibiotic abuse in all regions of Poland was 24% higher than the EU average. One of the reasons is the insufficient number of diagnostic tests ordered by both general practitioners and doctors representing hospital care. In 2016-2017, the average number of microbiological tests in diagnosing hospital infections performed annually within the entire territory of Poland was 50% lower than in European Union countries and the number recommended by WHO. Increased, and at the same time inappropriate antibiotic therapy led to a build-upof drug resistance among bacterial species of significant clinical importance. The current epidemiological situation imposes the necessity for constant HAI control and broadly understood rationalization of the guidelines of hospital antibiotic policy.

Strategies for Effective Infection Prevention Programs: Structures, Processes, and Funding.

Successful Infection Prevention Programs (IPPs) consist of a multidisciplinary team led by a hospital epidemiologist and managed by infection preventionists. Knowledge of the economics of health care-associated infections (HAIs) and the ability to make a business plan is now essential to the success of programs. Prevention of HAIs is the core function of IPPs with impact on patient outcomes, quality of care, and cost savings for hospitals. This article discusses the structure and responsibilities of an IPP, the regulatory pressures and opportunities that these programs face, and how to build and manage a successful program.

The healthcare costs of antimicrobial resistance in Lebanon: a multi-centre prospective cohort study from the payer perspective.

BACKGROUND: Our aim was to examine whether the length of stay, hospital charges and in-hospital mortality attributable to healthcare- and community-associated infections due to antimicrobial-resistant bacteria were higher compared with those due to susceptible bacteria in the Lebanese healthcare settings using different methodology of analysis from the payer perspective . METHODS: We performed a multi-centre prospective cohort study in ten hospitals across Lebanon. The sample size consisted of 1289 patients with documented healthcare-associated infection (HAI) or community-associated infection (CAI). We conducted three separate analysis to adjust for confounders and time-dependent bias: (1) Post-HAIs in which we included the excess LOS and hospital charges incurred after infection and (2) Matched cohort, in which we matched the patients based on propensity score estimates (3) The conventional method, in which we considered the entire hospital stay and allocated charges attributable to CAI. The linear regression models accounted for multiple confounders. RESULTS: HAIs and CAIs with resistant versus susceptible bacteria were associated with a significant excess length of hospital stay (2.69 days [95% CI,1.5-3.9]; p < 0.001) and (2.2 days [95% CI,1.2-3.3]; p < 0.001) and resulted in additional hospital charges ($1807 [95% CI, 1046-2569]; p < 0.001) and ($889 [95% CI, 378-1400]; p = 0.001) respectively. Compared with the post-HAIs analysis, the matched cohort method showed a reduction by 26 and 13% in hospital charges and LOS estimates respectively. Infections with resistant bacteria did not decrease the time to in-hospital mortality, for both healthcare- or community-associated infections. Resistant cases in the post-HAIs analysis showed a significantly higher risk of in-hospital mortality (odds ratio, 0.517 [95% CI, 0.327-0.820]; p = 0.05). CONCLUSION: This is the first nationwide study that quantifies the healthcare costs of antimicrobial resistance in Lebanon. For cases with HAIs, matched cohort analysis showed more conservative estimates compared with post-HAIs method. The differences in estimates highlight the need for a unified methodology to estimate the burden of antimicrobial resistance in order to accurately advise health policy makers and prioritize resources expenditure.

Healthcare-Associated Infections and Antibiotics Consumption: A Comparison of Point Prevalence Studies and Intervention Strategies.

This study compares healthcare-associated infections (HAIs) prevalence and antimicrobial consumption (AMC) from surveys conducted in 2016 and 2019 in an Italian hospital for acute care. HAIs prevalence was 7.1% in both surveys, while patients were under antibiotic treatment slightly increased from 2016 to 2019, from 42.6% to 43.7%, respectively. In the survey of 2016, HAIs risk factors were fatal McCabe score and hospitalization longer than two weeks, while CVC and urinary catheter in that conducted in 2019. In both surveys, CVC and peripheral venous catheter resulted associated to AMC. HAIs and AMC remained stable although the hospital undergone a complexity reduction in the second survey, remarking that critical actions are strictly required implementing infection control practices and antimicrobial stewardship.

A Minority of Patients on Mechanical Ventilation Consume Disproportionate Resources: A Retrospective Cohort Study.

BACKGROUND: The Pareto principle states that the majority of any effect comes from a minority of the causes. This property is widely used in quality improvement science. RESEARCH QUESTION: Among patients requiring mechanical ventilation (MV), are there subgroups according to MV duration that may serve as potential nodes for high-value interventions aimed at reducing costs without compromising quality? STUDY DESIGN AND METHODS: This multicenter retrospective cohort study included approximately 780 hospitals in the Premier Research Database (2014-2018). Patients receiving MV were identified by using International Classification of Diseases, Ninth Revision, Clinical Modification, and International Classification of Diseases, Tenth Revision, codes. They were then divided into quintiles according to MV duration; their hospital costs, post-MV onset length of stay (LOS), ICU LOS, and cumulative post-MV onset hospital days per quintile were compared. RESULTS: A total of 691,961 patients were included in the analysis. Median [interquartile range] duration of MV in days by quintile was as follows: quintile 1 (Q1), 1 [1, 1]; Q2, 2 [2, 2]; Q3, 3 [3, 3]; Q4, 6 [6, 7]; and Q5, 13 [10, 19]. Median [interquartile range] post-MV onset LOS (Q1, 2 [0, 5]; Q5, 17 [12, 26]) and hospital costs (Q1, $15,671 [$9,180, $27,901]; Q5, $70,133 [$47,136, $108,032]) rose from Q1 through Q5. Patients in Q5 consumed 47.7% of all post-MV initiation hospital days among all patients requiring MV, and the mean per-patient hospital costs in Q5 exceeded the sum of costs incurred by Q1 to Q3. Adjusted marginal mean (95% CI) hospital costs rose exponentially from Q1 through Q5: Q2 vs Q1, $3,976 ($3,354, $4,598); Q3 vs Q2, $5,532 ($5,103, $5,961); Q4 vs Q3, $11,705 ($11,071, $12,339); and Q5 vs Q4, $26,416 ($25,215, $27,616). INTERPRETATION: Patients undergoing MV in the highest quintiles according to duration of MV consume a disproportionate amount of resources, as evidenced by MV duration, hospital LOS, and costs, making them a potential target for streamlining MV care.

Sepsis-Associated Mortality, Resource Use, and Healthcare Costs: A Propensity-Matched Cohort Study.

OBJECTIVES: To examine long-term mortality, resource utilization, and healthcare costs in sepsis patients compared to hospitalized nonsepsis controls. DESIGN: Propensity-matched population-based cohort study using administrative data. SETTING: Ontario, Canada. PATIENTS: We identified a cohort of adults (≥ 18) admitted to hospitals in Ontario between April 1, 2012, and March 31, 2016, with follow-up to March 31, 2017. Sepsis patients were flagged using a validated International Classification of Diseases, 10th Revision-coded algorithm (Sepsis-2 definition), including cases with organ dysfunction (severe sepsis) and without (nonsevere). Remaining hospitalized patients were potential controls. Cases and controls were matched 1:1 on propensity score, age, sex, admission type, and admission date. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Differences in mortality, rehospitalization, hospital length of stay, and healthcare costs were estimated, adjusting for remaining confounders using Cox regression and generalized estimating equations. Of 270,669 sepsis cases, 196,922 (73%) were successfully matched: 64,204 had severe and 132,718 nonsevere sepsis (infection without organ dysfunction). Over follow-up (median 2.0 yr), severe sepsis patients had higher mortality rates than controls (hazard ratio, 1.66; 95% CI, 1.63-1.68). Both severe and nonsevere sepsis patients had higher rehospitalization rates than controls (hazard ratio, 1.53; 95% CI, 1.50-1.55 and hazard ratio, 1.41; 95% CI, 1.40-1.43, respectively). Incremental costs (Canadian dollar 2018) in sepsis cases versus controls at 1-year were: $29,238 (95% CI, $28,568-$29,913) for severe and $9,475 (95% CI, $9,150-$9,727) for nonsevere sepsis. CONCLUSIONS: Severe sepsis was associated with substantially higher long-term risk of death, rehospitalization, and healthcare costs, highlighting the need for effective postdischarge care for sepsis survivors.

COVID-19 outbreak in long-term care facilities from Spain. Many lessons to learn.

BACKGROUND/OBJECTIVES: To analyze mortality, costs, residents and personnel characteristics, in six long-term care facilities (LTCF) during the outbreak of COVID-19 in Spain. DESIGN: Epidemiological study. SETTING: Six open LTCFs in Albacete (Spain). PARTICIPANTS: 198 residents and 190 workers from LTCF A were included, between 2020 March 6 and April 5. Epidemiological data were also collected from six LTCFs of Albacete for the same period of time, including 1,084 residents. MEASUREMENTS: Baseline demographic, clinical, functional, cognitive and nutritional variables were collected. 1-month and 3-month mortality was determined, excess mortality was calculated, and costs associated with the pandemics were analyzed. RESULTS: The pooled mortality rate for the first month and first three months of the outbreak were 15.3% and 28.0%, and the pooled excess mortality for these periods were 564% and 315% respectively. In facility A, the percentage of probable COVID-19 infected residents were 33.6%. Probable infected patients were older, frail, and with a worse functional situation than those without COVID-19. The most common symptoms were fever, cough and dyspnea. 25 residents were transferred to the emergency department, 21 were hospitalized, and 54 were moved to the facility medical unit. Mortality was higher upon male older residents, with worse functionality, and higher comorbidity. During the first month of the outbreak, 65 (24.6%) workers leaved, mainly with COVID-19 symptoms, and 69 new workers were contracted. The mean number of days of leave was 19.2. Costs associated with the COVID-19 in facility A were estimated at € 276,281/month, mostly caused by resident hospitalizations, leaves of workers, staff replacement, and interventions of healthcare professionals. CONCLUSION: The COVID-19 pandemic posed residents at high mortality risk, mainly in those older, frail and with worse functional status. Personal and economic costs were high.

[Influence of a spontaneous bacterial peritonitis, nosocomial infections and acute-on-chronic liver failure on treatment revenues in patients with decompensated cirrhosis in Germany]. / Einfluss einer spontan bakteriellen Peritonitis, nosokomialer Infektionen und eines akut auf chronischen Leberversagens auf die Behandlungserlöse bei Patienten mit dekompensierter Leberzirrhose in Deutschland.

BACKGROUND: The economic effects of spontaneous bacterial peritonitis (SBP), nosocomial infections (nosInf) and acute-on-chronic liver failure (ACLF) have so far been poorly studied. We analyzed the impact of these complications on treatment revenues in hospitalized patients with decompensated cirrhosis. METHODS: 371 consecutive patients with decompensated liver cirrhosis, who received a paracentesis between 2012 and 2016, were included retrospectively. DRG (diagnosis-related group), "ZE/NUB" (additional charges/new examination/treatment methods), medication costs, length of hospital stay as well as different kinds of specific treatments (e. g., dialysis) were considered. Exclusion criteria included any kind of malignancy, a history of organ transplantation and/or missing accounting data. RESULTS: Total treatment costs (DRG + ZE/NUB) were higher in those with nosInf (€â€Š10,653 vs. €â€Š5,611, p < 0.0001) driven by a longer hospital stay (23 d vs. 12 d, p < 0.0001). Of note, revenues per day were not different (€â€Š473 vs. €â€Š488, p = 0.98) despite a far more complicated treatment with a more frequent need for dialysis (p < 0.0001) and high-complex care (p = 0.0002). Similarly, SBP was associated with higher total revenues (€â€Š10,307 vs. €â€Š6,659, p < 0.0001). However, the far higher effort for the care of SBP patients resulted in lower daily revenues compared to patients without SBP (€â€Š443 vs. €â€Š499, p = 0.18). ACLF increased treatment revenues to €â€Š10,593 vs. €6,369 without ACLF (p < 0.0001). While treatment of ACLF was more complicated, revenue per day was not different to no-ACLF patients (€â€Š483 vs. €â€Š480, p = 0.29). CONCLUSION: SBP, nosInf and/or ACLF lead to a significant increase in the effort, revenue and duration in the treatment of patients with cirrhosis. The lower daily revenue, despite a much more complex therapy, might indicate that these complications are not yet sufficiently considered in the German DRG system.

Nosocomial Infections: A History of Hospital-Acquired Infections.

In the United States, healthcare acquired infections (HAIs) or nosocomial infections are the sixth leading cause of death. This article reviews the history, prevalence, economic costs, morbidity and mortality, and risk factors associated with HAIs. Types of infections described include bacterial, fungal, viral, and multidrug resistant infections that contribute to the most common causes of HAIs, which include catheter- associated urinary tract infections, hospital-acquired pneumonias, bloodstream infections, and surgical site infections. Most nosocomial infections are preventable and monitoring and prevention strategies are described.

Estimating length of stay and inpatient charges attributable to hospital-acquired bloodstream infections.

BACKGROUND: Hospital-acquired bloodstream infection (BSI) is associated with high morbidity and mortality and increases patients' length of stay (LOS) and hospital charges. Our goals were to calculate LOS and charges attributable to BSI and compare results among different models. METHODS: A retrospective observational cohort study was conducted in 2017 in a large general hospital, in Beijing. Using patient-level data, we compared the attributable LOS and charges of BSI with three models: 1) conventional non-matching, 2) propensity score matching controlling for the impact of potential confounding variables, and 3) risk set matching controlling for time-varying covariates and matching based on propensity score and infection time. RESULTS: The study included 118,600 patient admissions, 557 (0.47%) with BSI. Six hundred fourteen microorganisms were cultured from patients with BSI. Escherichia coli was the most common bacteria (106, 17.26%). Among multi-drug resistant bacteria, carbapenem-resistant Acinetobacter baumannii (CRAB) was the most common (42, 38.53%). In the conventional non-matching model, the excess LOS and charges associated with BSI were 25.06 days (P < 0.05) and US$22041.73 (P < 0.05), respectively. After matching, the mean LOS and charges attributable to BSI both decreased. When infection time was incorporated into the risk set matching model, the excess LOS and charges were 16.86 days (P < 0.05) and US$15909.21 (P < 0.05), respectively. CONCLUSION: This is the first study to consider time-dependent bias in estimating excess LOS and charges attributable to BSI in a Chinese hospital setting. We found matching on infection time can reduce bias.

Economic analysis of healthcare-associated infection prevention and control interventions in medical and surgical units: systematic review using a discounting approach.

Nosocomial or healthcare-associated infections (HCAIs) are associated with a financial burden that affects both patients and healthcare institutions worldwide. The clinical best care practices (CBPs) of hand hygiene, hygiene and sanitation, screening, and basic and additional precautions aim to reduce this burden. The COVID-19 pandemic has confirmed these four CBPs are critically important prevention practices that limit the spread of HCAIs. This paper conducted a systematic review of economic evaluations related to these four CBPs using a discounting approach. We searched for articles published between 2000 and 2019. We included economic evaluations of infection prevention and control of Clostridioides difficile-associated diarrhoea, meticillin-resistant Staphylococcus aureus, vancomycin-resistant enterococci, and carbapenem-resistant Gram-negative bacilli. Results were analysed with cost-minimization, cost-effectiveness, cost-utility, cost-benefit and cost-consequence analyses. Articles were assessed for quality. A total of 11,898 articles were screened and seven were included. Most studies (4/7) were of overall moderate quality. All studies demonstrated cost effectiveness of CBPs. The average yearly net cost savings from the CBPs ranged from $252,847 (2019 Canadian dollars) to $1,691,823, depending on the rate of discount (3% and 8%). The average incremental benefit cost ratio of CBPs varied from 2.48 to 7.66. In order to make efficient use of resources and maximize health benefits, ongoing research in the economic evaluation of infection control should be carried out to support evidence-based healthcare policy decisions.

Cost burden of Clostridioides difficile infection to the health service: A retrospective cohort study in Scotland.

BACKGROUND: Clostridioides difficile infection (CDI) is associated with high healthcare demands and related costs. AIM: To evaluate the healthcare and economic burden of CDI in hospitalized patients with community- (HOCA-CDI) or hospital-associated CDI (HOHA-CDI) in the National Health Service in Scotland. METHODS: A retrospective cohort study was conducted, examining data between August 2010 and July 2013 from four patient-level Scottish datasets, linked to death data. Data examined included prior antimicrobial prescriptions in the community, hospitalizations, length of stay and mortality. Each CDI case was matched to three hospital-based controls on the basis of age, gender, hospital and date of admission. Descriptive economic evaluations were based on bed-day costs for different types of wards. FINDINGS: Overall, 3304 CDI cases were included in the study. CDI was associated with additional median lengths of stay of 7.2 days for HOCA-CDI and 12.0 days for HOHA-CDI compared with their respective, matched controls. The 30-day mortality rate was 6.8% for HOCA-CDI and 12.4% for HOHA-CDI. Overall, recurrence within 90 days of the first CDI episode occurred in 373/2740 (13.6%) survivors. The median additional expenditure for each initial CDI case compared with matched controls was £1713. In the 6 months after the index hospitalization, the cost associated with a CDI case was £5126 higher than for controls. CONCLUSION: Using routinely collected national data, we demonstrated the substantial burden of CDI on healthcare services, including lengthy hospital stays and readmissions, which increased the costs of managing patients with CDI compared with matched controls.

Costs of healthcare-associated infections to the Brazilian public Unified Health System in a tertiary-care teaching hospital: a matched case-control study.

BACKGROUND: Little is known about the economic burden of healthcare-associated infections (HAIs) in Brazil. AIM: To analyse the costs of hospitalization by reimbursement from the Brazilian government, via the Brazilian Unified Health System (SUS) affiliation, and direct costs in the adult Intensive Care Unit (ICU). METHODS: The matched-pairs case-control study (83 patients with HAIs and 83 without HAIs) was performed at a referral tertiary-care teaching hospital in Brazil in January 2018. In order to calculate the HAI costs from the perspective of the payer, the total cost for each hospitalization was obtained through the Hospital's Billing Sector. Direct costs were calculated annually for 949 critical patients during 2018. FINDINGS: The reimbursement cost per hospitalization of patients with HAIs was 75% (US$2721) higher than patients without HAIs (US$1553). When a patient has an HAI, in addition to a longer length of stay (15 days), there was an extra increase (US$996) in the reimbursement cost per hospitalization. An HAI in the ICU was associated with a total direct cost eight times higher compared with patients who did not develop infections in this unit, US$11,776 × US$1329, respectively. The direct cost of hospitalization in the ICU without HAI was 56.5% less than the reimbursement (US$1329 × US$3052, respectively), whereas for the patient with an HAI, the direct cost was 111.5% above the reimbursement (US$11,776 × US$5569, respectively). CONCLUSION: HAIs contribute to a longer stay and an eight-fold increase in direct costs. It is necessary to reinforce programmes that prevent HAIs in Brazilian hospitals.

The economic burden of Clostridioides difficile infection in patients with hematological malignancies in the United States: A case-control study.

OBJECTIVE: The primary study aim was to describe all direct healthcare costs associated with Clostridioides difficile infection (CDI), both in and out of the hospital, in patients with hematologic malignancies in the United States. DESIGN: A retrospective analysis was conducted utilizing data from US databases of Truven Health Analytics. PATIENTS: We analyzed health insurance claims between January 2014 and December 2017 of patients diagnosed with hematological cancer: acute myeloid leukemia (AML), acute lymphoblastic leukemia, Hodgkin's lymphoma, and non-Hodgkin's lymphoma (NHL). METHODS: Patients with CDI after cancer diagnosis (CDI+, cases) were matched with patients without CDI reported (CDI-, controls). Matched cases and controls were compared to identify the CDI-associated costs in the 90 days following the onset of CDI. RESULTS: We matched 622 CDI+ patients with 11,111 CDI- patients. NHL (41.7%) and AML (30.9%) were the predominant underlying diseases in the CDI+ groups. During study period, the average time in-hospital of CDI+ patients was 23.1 days longer than for CDI- patients (P < 2×10-16). Overall, CDI onset increased costs of care by an average of US$57,159 per patient (P = 6×10-12), mainly driven by hospital costs. CONCLUSIONS: This study confirms the significant economic burden associated with CDI in the United States, especially in patients with hematological malignancies. These findings highlight the need for prevention of CDI in this specific patient population.

Prevalence and burden of orthopaedic implantable-device infections in Italy: a hospital-based national study.

BACKGROUND: Healthcare-associated infections (HAIs) represent a serious burden to individual safety and healthcare sustainability. Identifying which patients, procedures and settings are most at risk would offer a significant contribution to HAI management and prevention. The purpose of this study is to estimate 1) orthopaedic implantable device-related infection (OIDRI) prevalence in Italian hospitals and 2) the gap between the remuneration paid by the Italian healthcare system and the real costs sustained by Italian hospitals to treat these episodes. METHODS: This is a cross-sectional study based on hospital discharge forms registered in 2012 and 2014. To address the first goal of this study, the national database was investigated to identify 1) surgical procedures associated with orthopaedic device implantation and 2) among them, which patient characteristics (age, sex), type of admission, and type of discharge were associated with a primary diagnosis of infection. To address the second goal, 1) each episode of infection was multiplied by the remuneration paid by the Italian healthcare system to the hospitals, based on the diagnosis-related group (DRG) system, and 2) the total days of hospitalization required to treat the same episodes were multiplied by the average daily cost of hospitalization, according to estimates from the Ministry of the Economy and Finance (MEF). RESULTS: In 2014, 1.55% of the total hospitalizations for orthopaedic device implantation procedures were associated with a main diagnosis of infection, with a negligible increase of 0.04% compared with 2012. Hip and knee replacement revisions, male patients and patients older than 65 years were more exposed to infection. A total of 51.63% of patients were planned admissions to the hospital, 68.75% had an ordinary discharge to home, and 0.9% died. The remuneration paid by the healthcare system to the hospitals was € 37,519,084 in 2014, with 3 DRGs covering 70.6% of the total. The cost of the actual days of hospitalization to treat these episodes was 17.5 million more than the remuneration received. CONCLUSIONS: The OIDRI prevalence was lower than that described in recent surveys in acute care settings, although the numbers were likely underestimated. The cost of treatment varied significantly depending on the remuneration system adopted.

Increased financial burdens and lengths of stay in patients with healthcare-associated infections due to multidrug-resistant bacteria in intensive care units: A propensity-matched case-control study.

BACKGROUND AND OBJECTIVES: Incidence rates of healthcare-associated infections (HAIs) depend upon infection control policy and practices, and the effectiveness of the implementation of antibiotic stewardship. Amongst intensive care unit (ICU) patients with HAIs, a substantial number of pathogens were reported to be multidrug-resistant bacteria (MDRB). However, impacts of ICU HAIs due to MDRB (MDRB-HAIs) remain understudied. Our study aimed to evaluate the negative impacts of MRDB-HAIs versus HAIs due to non-MDRB (non-MRDB-HAIs). METHODS: Among 60,317 adult patients admitted at ICUs of a 2680-bed medical centre in Taiwan between January 2010 and December 2017, 279 pairs of propensity-score matched MRDB-HAI and non-MRDB-HAI were analyzed. PRINCIPAL FINDINGS: Between the MDRB-HAI group and the non-MDRB-HAI group, significant differences were found in overall hospital costs, costs of medical and nursing services, medication, and rooms/beds, and in ICU length-of-stay (LOS). As compared with the non-MDRB-HAI group, the mean of the overall hospital costs of patients in the MDRB-HAI group was increased by 26%; for categorized expenditures, the mean of costs of medical and nursing services of patients in the MDRB-HAI group was increased by 8%, of medication by 26.9%, of rooms/beds by 10.3%. The mean ICU LOS in the MDRB-HAI group was increased by 13%. Mortality rates in both groups did not significantly differ. CONCLUSIONS: These data clearly demonstrate more negative impacts of MDRB-HAIs in ICUs. The quantified financial burdens will be helpful for hospital/government policymakers in allocating resources to mitigate MDRB-HAIs in ICUs; in case of need for clarification/verification of the medico-economic burdens of MDRB-HAIs in different healthcare systems, this study provides a model to facilitate the evaluations.