scholarly journals Clinical Impact of Antimicrobial Resistance in European Hospitals: Excess Mortality and Length of Hospital Stay Related to Methicillin-ResistantStaphylococcus aureusBloodstream Infections

2011 ◽  
Vol 55 (4) ◽  
pp. 1598-1605 ◽  
Author(s):  
Marlieke E. A. de Kraker ◽  
Martin Wolkewitz ◽  
Peter G. Davey ◽  
Hajo Grundmann
Keyword(s):  
Antimicrobial Resistance ◽  
Hospital Mortality ◽  
Hospital Stay ◽  
Excess Mortality ◽  
Methicillin Resistance ◽  
Tertiary Care ◽  
Fatal Outcome ◽  
Length Of Hospital Stay ◽  
Bloodstream Infections ◽  
Clinical Impact

ABSTRACTAntimicrobial resistance is threatening the successful management of nosocomial infections worldwide. Despite the therapeutic limitations imposed by methicillin-resistantStaphylococcus aureus(MRSA), its clinical impact is still debated. The objective of this study was to estimate the excess mortality and length of hospital stay (LOS) associated with MRSA bloodstream infections (BSI) in European hospitals. Between July 2007 and June 2008, a multicenter, prospective, parallel matched-cohort study was carried out in 13 tertiary care hospitals in as many European countries. Cohort I consisted of patients with MRSA BSI and cohort II of patients with methicillin-susceptibleS. aureus(MSSA) BSI. The patients in both cohorts were matched for LOS prior to the onset of BSI with patients free of the respective BSI. Cohort I consisted of 248 MRSA patients and 453 controls and cohort II of 618 MSSA patients and 1,170 controls. Compared to the controls, MRSA patients had higher 30-day mortality (adjusted odds ratio [aOR] = 4.4) and higher hospital mortality (adjusted hazard ratio [aHR] = 3.5). Their excess LOS was 9.2 days. MSSA patients also had higher 30-day (aOR = 2.4) and hospital (aHR = 3.1) mortality and an excess LOS of 8.6 days. When the outcomes from the two cohorts were compared, an effect attributable to methicillin resistance was found for 30-day mortality (OR = 1.8;P= 0.04), but not for hospital mortality (HR = 1.1;P= 0.63) or LOS (difference = 0.6 days;P= 0.96). Irrespective of methicillin susceptibility,S. aureusBSI has a significant impact on morbidity and mortality. In addition, MRSA BSI leads to a fatal outcome more frequently than MSSA BSI. Infection control efforts in hospitals should aim to contain infections caused by both resistant and susceptibleS. aureus.

Nosocomial Methicillin-Resistant and Methicillin-SusceptibleStaphylococcus AureusPrimary Bacteremia: At What Costs?

1999 ◽  
Vol 20 (6) ◽  
pp. 408-411 ◽  
Author(s):  
Murray A. Abramson ◽  
Daniel J. Sexton
Keyword(s):  
Hospital Stay ◽  
Medical Center ◽  
A Priori ◽  
Tertiary Care ◽  
Length Of Hospital Stay ◽  
Bloodstream Infections ◽  
Methicillin Resistant ◽  
Tertiary Care Medical Center ◽  
Matching Criteria ◽  
Nested Case Control

Objective:To determine the attributable hospital stay and costs for nosocomial methicillin-sensitive Staphylococcus aureus (MSSA) and methicillin-resistantS aureus(MRSA) primary bloodstream infections (BSIs).Design:Pairwise-matched (1:1) nested case-control study.Setting:University-based tertiary-care medical center.Patients:Patients admitted between December 1993 and March 1995 were eligible. Cases were defined as patients with a primary nosocomialS aureusBSI; controls were selected according to a priori matching criteria.Measurements:Length of hospital stay and total and variable direct costs of hospitalization.Results:The median hospital stay attributable to primary nosocomial MSSA BSI was 4 days, compared with 12 days for MRSA (P=.023). Attributable median total cost for MSSA primary nosocomial BSIs was $9,661 versus $27,083 for MRSA nosocomial infections (P=.043).Conclusion:Nosocomial primary BSI due toS aureussignificantly prolongs the hospital stay. Primary nosocomial BSIs due to MRSA result in an approximate threefold increase in direct cost, compared with those due to MSSA.

Prevalence, Correlates and Management of Hyperglycemia in Diabetic Non-critically Ill Patients at a Tertiary Care Center in Lebanon

2019 ◽  
Vol 15 (2) ◽  
pp. 133-140 ◽  
Author(s):  
Ghada El Khoury ◽  
Hanine Mansour ◽  
Wissam K. Kabbara ◽  
Nibal Chamoun ◽  
Nadim Atallah ◽  
...  
Keyword(s):  
Hospital Stay ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Care Center ◽  
Descriptive Analysis ◽  
Tertiary Care ◽  
Multivariable Analysis ◽  
Length Of Hospital Stay ◽  
Retrospective Chart Review ◽  
Diabetic Patients

Background: Diabetes Mellitus is a chronic metabolic disease that affects 387 million people around the world. Episodes of hyperglycemia in hospitalized diabetic patients are associated with poor clinical outcomes and increased morbidity and mortality. Therefore, prevention of hyperglycemia is critical to decrease the length of hospital stay and to reduce complications and readmissions. Objective: The study aims to examine the prevalence of hyperglycemia and assess the correlates and management of hyperglycemia in diabetic non-critically ill patients. Methods: The study was conducted on the medical wards of a tertiary care teaching hospital in Lebanon. A retrospective chart review was conducted from January 2014 until September 2015. Diabetic patients admitted to Internal Medicine floors were identified. Descriptive analysis was first carried out, followed by a multivariable analysis to study the correlates of hyperglycemia occurrence. Results: A total of 235 medical charts were reviewed. Seventy percent of participants suffered from hyperglycemia during their hospital stay. The identified significant positive correlates for inpatient hyperglycemia, were the use of insulin sliding scale alone (OR=16.438 ± 6.765-39.941, p=0.001) and the low frequency of glucose monitoring. Measuring glucose every 8 hours (OR= 3.583 ± 1.506-8.524, p=0.004) and/or every 12 hours (OR=7.647 ± 0.704-79.231, p=0.0095) was associated with hyperglycemia. The major factor perceived by nurses as a barrier to successful hyperglycemia management was the lack of knowledge about appropriate insulin use (87.5%). Conclusion: Considerable mismanagement of hyperglycemia in diabetic non-critically ill patients exists; indicating a compelling need for the development and implementation of protocol-driven insulin order forms a comprehensive education plan on the appropriate use of insulin.

scholarly journals A Study of Factors Affecting the Length of Hospital Stay of COVID-19 Patients by Cox-Proportional Hazard Model in a South Indian Tertiary Care Hospital

2021 ◽  
Vol 12 ◽  
pp. 215013272110002
Author(s):  
Gayathri Thiruvengadam ◽  
Marappa Lakshmi ◽  
Ravanan Ramanujam
Keyword(s):  
Hospital Stay ◽  
Tertiary Care ◽  
Length Of Hospital Stay ◽  
Hazard Model ◽  
Cox Proportional Hazard Model ◽  
Care Hospital ◽  
Proportional Hazard ◽  
Proportional Hazard Model ◽  
Cox Proportional Hazard ◽  
South Indian

Background: The objective of the study was to identify the factors that alter the length of hospital stay of COVID-19 patients so we have an estimate of the duration of hospitalization of patients. To achieve this, we used a time to event analysis to arrive at factors that could alter the length of hospital stay, aiding in planning additional beds for any future rise in cases. Methods: Information about COVID-19 patients was collected between June and August 2020. The response variable was the time from admission to discharge of patients. Cox proportional hazard model was used to identify the factors that were associated with the length of hospital stay. Results: A total of 730 COVID-19 patients were included, of which 675 (92.5%) recovered and 55 (7.5%) were considered to be right-censored, that is, the patient died or was discharged against medical advice. The median length of hospital stay of COVID-19 patients who were hospitalized was found to be 7 days by the Kaplan Meier curve. The covariates that prolonged the length of hospital stay were found to be abnormalities in oxygen saturation (HR = 0.446, P < .001), neutrophil-lymphocyte ratio (HR = 0.742, P = .003), levels of D-dimer (HR = 0.60, P = .002), lactate dehydrogenase (HR = 0.717, P = .002), and ferritin (HR = 0.763, P = .037). Also, patients who had more than 2 chronic diseases had a significantly longer length of stay (HR = 0.586, P = .008) compared to those with no comorbidities. Conclusion: Factors that are associated with prolonged length of hospital stay of patients need to be considered in planning bed strength on a contingency basis.

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

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Katia Iskandar ◽  
Christine Roques ◽  
Souheil Hallit ◽  
Rola Husni-Samaha ◽  
Natalia Dirani ◽  
...  
Keyword(s):  
Cohort Study ◽  
Antimicrobial Resistance ◽  
Hospital Mortality ◽  
Hospital Stay ◽  
Prospective Cohort ◽  
Healthcare Costs ◽  
Hospital Charges ◽  
Resistant Bacteria ◽  
Matched Cohort ◽  
Payer Perspective

Abstract 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.

scholarly journals Risk factors for high length of hospital stay and in-hospital mortality in hip fractures in the elderly

2021 ◽  
Vol 65 (5) ◽  
pp. 322-330
Author(s):  
J. Salvador Marín ◽  
F.J. Ferrández Martínez ◽  
C. Fuster Such ◽  
J.M. Seguí Ripoll ◽  
D. Orozco Beltrán ◽  
...  
Keyword(s):  
Risk Factors ◽  
Hospital Mortality ◽  
Hospital Stay ◽  
Hip Fractures ◽  
Length Of Hospital Stay ◽  
The Elderly ◽  
High Length

scholarly journals 48. Association of Rapid Pathogen Identification and Pharmacist Intervention on Time to Optimal Antimicrobial Therapy for Bloodstream Infections at Two Community Hospitals

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S47-S47
Author(s):  
Bryant M Froberg ◽  
Nicholas Torney
Keyword(s):  
Blood Culture ◽  
Hospital Mortality ◽  
Positive Blood Culture ◽  
Antimicrobial Therapy ◽  
Length Of Hospital Stay ◽  
Bloodstream Infections ◽  
Pharmacist Intervention ◽  
Pathogen Identification ◽  
Community Hospitals ◽  
Significant Difference

Abstract Background As many as 1 in 3 patients with bloodstream infections at community hospitals receive inappropriate empiric antimicrobial therapy. Studies have shown that the coupling of real-time intervention with rapid pathogen identification improves patient outcomes and decreases health-system costs at large, tertiary academic centers. The aim of this study was to assess if similar outcomes could be obtained with the implementation of real-time pharmacist intervention to rapid pathogen identification at two smaller, rural community hospitals. Methods This was a pre-post implementation study that occurred from September of 2019 to March 2020. This study included patients ≥18 years of age admitted with one positive blood culture. Patients were excluded if they were pregnant, had a polymicrobial blood culture, known culture prior to admission, hospice consulted prior to admission, expired prior to positive blood culture, or transferred to another hospital within 24 hours of a positive blood culture. Endpoints of patients prior to intervention were compared to patients post-implementation. The primary endpoint was time to optimal antimicrobial therapy. Secondary endpoints included time to effective antimicrobial therapy, in-hospital mortality, length of hospital stay, and overall cost of hospitalization. Results Of 212 patients screened, 88 patients were included with 44 patients in each group. Both groups were similar in terms of comorbidities, infection source, and causative microbial. No significant difference was seen in the mean time to optimal antimicrobial therapy (27.3±35.5 hr vs 19.4± 30 hr, p=0.265). Patients in the post-implementation group had a significantly higher mean hospitalization cost ($24,638.87± $11,080.91 vs $32,722.07±$13,076.73, p=0.013). There was no significant difference in time to effective antimicrobial therapy, in-hospital mortality, or length of hospital stay. Conclusion There were no between-group differences in the primary outcome of time to optimal therapy, with a higher mean hospitalization cost after implementation. These results suggest further antimicrobial stewardship interventions are needed, along with larger studies conducted in the community hospital settings. Disclosures All Authors: No reported disclosures

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