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1.
BMC Infect Dis ; 21(1): 404, 2021 May 01.
Article in English | MEDLINE | ID: mdl-33933013

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.


Subject(s)
Community-Acquired Infections/economics , Cross Infection/economics , Drug Resistance, Bacterial , Health Care Costs/statistics & numerical data , Aged , Aged, 80 and over , Anti-Bacterial Agents/economics , Anti-Bacterial Agents/therapeutic use , Community-Acquired Infections/drug therapy , Community-Acquired Infections/epidemiology , Community-Acquired Infections/microbiology , Cross Infection/drug therapy , Cross Infection/epidemiology , Cross Infection/microbiology , Female , Hospital Costs , Hospital Mortality , Humans , Lebanon , Length of Stay/economics , Male , Middle Aged , Prospective Studies
2.
Value Health Reg Issues ; 25: 90-98, 2021 Sep.
Article in English | MEDLINE | ID: mdl-33852980

ABSTRACT

OBJECTIVES: The rising incidence of urinary tract infections (UTIs) attributable to Escherichia coli resistant isolates is becoming a serious public health concern. Although global rates of infection vary considerably by region, the growing prevalence of this uropathogen has been associated with a high economic burden and health strain. This study aims: (1) to estimate the differences in clinical and economic outcomes between 2 groups of adult hospitalized patients with UTIs from E. coli resistant and susceptible bacteria and (2) to investigate drivers of this cost from a payer's perspective. METHODS: A prospective multicenter cohort study was conducted in 10 hospitals in Lebanon. The cost analysis followed a bottom-up microcosting approach; a linear regression was constructed to evaluate the predictors of hospitalization costs and a Cox proportional hazards model was used to estimate the impact of resistance on length of stay (LOS) and in-hospital mortality. RESULTS: Out of 467 inpatients, 250 cases were because of resistant E. coli isolates. Results showed that patients with resistant uropathogens had 29% higher mean total hospitalization costs ($3429 vs $2651; P = .004), and an extended median LOS (6 days vs 5 days; P = .020) compared with susceptible cohorts. The selection of resistant bacteria and the Charlson comorbidity index predicted higher total hospitalization costs and in-hospital mortality. CONCLUSION: In an era of increased pressure for cost containment, this study showed the burden of treating UTIs resulting from resistant bacteria. The results can inform cost-effectiveness analyses that intend to evaluate the benefit of a national action plan aimed at decreasing the impact of antibiotic resistance.


Subject(s)
Escherichia coli , Urinary Tract Infections , Adult , Anti-Bacterial Agents/therapeutic use , Cohort Studies , Cost of Illness , Humans , Lebanon/epidemiology , Prospective Studies , Urinary Tract Infections/drug therapy , Urinary Tract Infections/epidemiology
3.
Value Health Reg Issues ; 24: 38-46, 2021 Jan 22.
Article in English | MEDLINE | ID: mdl-33494034

ABSTRACT

OBJECTIVES: The rising incidence of urinary tract infections (UTIs) attributable to Escherichia coli resistant isolates is becoming a serious public health concern. Although global rates of infection vary considerably by region, the growing prevalence of this uropathogen has been associated with a high economic burden and health strain. This study aims: (1) to estimate the differences in clinical and economic outcomes between 2 groups of adult hospitalized patients with UTIs from E. coli resistant and susceptible bacteria and (2) to investigate drivers of this cost from a payer's perspective. METHODS: A prospective multicenter cohort study was conducted in 10 hospitals in Lebanon. The cost analysis followed a bottom-up microcosting approach; a linear regression was constructed to evaluate the predictors of hospitalization costs and a Cox proportional hazards model was used to estimate the impact of resistance on length of stay (LOS) and in-hospital mortality. RESULTS: Out of 467 inpatients, 250 cases were because of resistant E. coli isolates. Results showed that patients with resistant uropathogens had 29% higher mean total hospitalization costs ($3429 vs $2651; P = .004), and an extended median LOS (6 days vs 5 days; P = .020) compared with susceptible cohorts. The selection of resistant bacteria and the Charlson comorbidity index predicted higher total hospitalization costs and in-hospital mortality. CONCLUSION: In an era of increased pressure for cost containment, this study showed the burden of treating UTIs resulting from resistant bacteria. The results can inform cost-effectiveness analyses that intend to evaluate the benefit of a national action plan aimed at decreasing the impact of antibiotic resistance.

4.
J Infect Public Health ; 11(3): 405-411, 2018.
Article in English | MEDLINE | ID: mdl-28970096

ABSTRACT

BACKGROUND: The objective of this study is to identify and characterize the species resistance of different pathogens between community acquired and hospital acquired infections pointing at patients' related independent co-morbidities and socio-demographic factors. METHODS: It was a retrospective cohort, multicenter study from five private hospitals located in Beirut and Mount Lebanon. Two hundred fifty-eight adult patients were included. RESULTS: 110 Gram negative pathogens and 26 Gram positive pathogens were implicated in hospital acquired infections. The Gram-negative bacteria that showed a positive correlation regarding patient's type of infection were Pseudomonas aeruginosa (12%), Klebsiella pneumoniae (6.2%) and Acinetobacter baumannii (3.1%). These bacteria were more frequent in patients with hospital acquired infections (P=0.002, 0.013 and 0.017 respectively). The ratio of methicillin resistant Staphylococcus aureus, Extended Spectrum Beta Lactamase producing Escherichia coli and K. pneumoniae and multi drug P. aeruginosa showed high significance in hospital acquired infections. The logistic regression, showed a significant relationship between resistant bacteria and age (p<0.001, ORa=5.680, CI [2.344; 13.765]) and immunosuppressed state (p=0.003, ORa=3.137, CI [1.485; 6.630]) and an inverse relationship for Chronic Obstructive Pulmonary Disease (COPD) (p=0.006, ORa=0.403, CI [0.212; 0.765]). CONCLUSION: Our results confirm that hospital acquired infections/bacteria have higher rates of resistance when compared to community acquired; these rates increase with age, immunosuppression and are inversely proportional with COPD. Therefore, physicians should be aware of patients' comorbidities to properly guide initial therapy.


Subject(s)
Community-Acquired Infections/epidemiology , Community-Acquired Infections/microbiology , Cross Infection/epidemiology , Cross Infection/microbiology , Gram-Negative Bacterial Infections/epidemiology , Gram-Positive Bacterial Infections/epidemiology , Adult , Anti-Bacterial Agents/pharmacology , Bacteremia/epidemiology , Cohort Studies , Female , Gram-Negative Bacteria/classification , Gram-Negative Bacteria/drug effects , Gram-Negative Bacteria/isolation & purification , Gram-Negative Bacterial Infections/microbiology , Gram-Positive Bacteria/classification , Gram-Positive Bacteria/drug effects , Gram-Positive Bacteria/isolation & purification , Gram-Positive Bacterial Infections/microbiology , Humans , Lebanon/epidemiology , Male , Microbial Sensitivity Tests , Middle Aged , Retrospective Studies
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