The Cost-effectiveness of Antimicrobial Lock Solutions for the Prevention of Central Line-Associated Bloodstream Infections.

Background: Antimicrobial lock solutions are a low-cost strategy that can reduce the incidence of central line-associated bloodstream infection (CLABSI). The aim of this study was to evaluate the cost-effectiveness of antimicrobial locks for the prevention of CLABSI. Methods: We constructed a decision-analytic model comparing antimicrobial lock solutions to heparin locks for the prevention of CLABSI in 3 settings: hemodialysis, cancer treatment, and home parenteral nutrition. Cost-effectiveness was determined by calculating CLABSIs prevented and incremental cost-effectiveness ratios. Uncertainty was addressed by plotting cost-effectiveness planes and acceptability curves for various willingness-to-pay thresholds. Results: In probabilistic analysis, at a willingness to pay of $50000, antimicrobial lock solutions had a 96.24% chance of being cost-effective, compared with heparin locks in the hemodialysis setting, an 88.00% chance in the cancer treatment setting, and a 92.73% chance in the home parenteral nutrition setting. In base-case analysis, antimicrobial lock solutions resulted in savings of $68721.03 for the hemodialysis setting, $85061.41 for the cancer setting, and $78513.83 for the home parenteral nutrition setting per CLABSI episode prevented. Conclusions: In 3 distinct and clinically important settings (hemodialysis, cancer treatment, and home parenteral nutrition), antimicrobial lock solutions are an effective strategy for the prevention of CLABSI, and their use can result in significant healthcare savings.

The Cost-Effectiveness of Corticosteroids for the Treatment of Community-Acquired Pneumonia.

BACKGROUND: The use of corticosteroids as adjunct treatment for community-acquired pneumonia (CAP) is associated with potential clinical benefits. The aim of this study was to evaluate the cost-effectiveness of this approach. METHODS: We constructed a decision-analytic model comparing the use of corticosteroids + antibiotics with that of placebo + antibiotics for the treatment of CAP. Cost-effectiveness was determined by calculating deaths averted and incremental cost-effectiveness ratios. Uncertainty was addressed by plotting cost-effectiveness planes and acceptability curves for various willingness-to-pay thresholds. RESULTS: In the base-case analysis, corticosteroids + antibiotics resulted in savings of $142,795 per death averted. In the probabilistic analysis, at a willingness to pay of $50,000, corticosteroids + antibiotics had a 86.4% chance of being cost-effective compared with placebo + antibiotics. In cost-effectiveness acceptability curves, the corticosteroids + antibiotics strategy was cost-effective in 87.6% to 94.3% of simulations compared with the placebo + antibiotics strategy for a willingness to pay ranging from $0 to $50,000. In patients with severe CAP (Pneumonia Severity Index classes IV/V) the corticosteroids + antibiotics strategy resulted in savings of $70,587 and had a 82.6% chance of being cost-effective compared with the placebo + antibiotics strategy. CONCLUSIONS: The use of corticosteroids + antibiotics is a cost-effective strategy and results in considerable health care cost-savings, especially among patients with severe CAP (Pneumonia Severity Index classes IV/V).

The Cost-Effectiveness of Rapid Diagnostic Testing for the Diagnosis of Bloodstream Infections with or without Antimicrobial Stewardship.

Bloodstream infections are associated with considerable morbidity and health care costs. Molecular rapid diagnostic tests (mRDTs) are a promising complement to conventional laboratory methods for the diagnosis of bloodstream infections and may reduce the time to effective therapy among patients with bloodstream infections. The concurrent implementation of antimicrobial stewardship programs (ASPs) may reinforce these benefits. The aim of this study was to evaluate the cost-effectivenesses of competing strategies for the diagnosis of bloodstream infection alone or combined with an ASP. To this effect, we constructed a decision-analytic model comparing 12 strategies for the diagnosis of bloodstream infection. The main arms compared the use of mRDT and conventional laboratory methods with or without an ASP. The baseline strategy used as the standard was the use of conventional laboratory methods without an ASP, and our decision-analytic model assessed the cost-effectivenesses of 5 principal strategies: mRDT (with and without an ASP), mRDT with an ASP, mRDT without an ASP, conventional laboratory methods with an ASP, and conventional laboratory methods without an ASP. Furthermore, based on the availability of data in the literature, we assessed the cost-effectivenesses of 7 mRDT subcategories, as follows: PCR with an ASP, matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) analysis with an ASP, peptide nucleic acid fluorescent in situ hybridization (PNA-FISH) with an ASP, a blood culture nanotechnology microarray system for Gram-negative bacteria (BC-GP) with an ASP, a blood culture nanotechnology microarray system for Gram-positive bacteria (BC-GN) with an ASP, PCR without an ASP, and PNA-FISH without an ASP. Our patient population consisted of adult inpatients in U.S. hospitals with suspected bloodstream infection. The time horizon of the model was the projected life expectancy of the patients. In a base-case analysis, cost-effectiveness was determined by calculating the numbers of bloodstream infection deaths averted, the numbers of quality-adjusted life years gained, and incremental cost-effectiveness ratios (ICERs). In a probabilistic analysis, uncertainty was addressed by plotting cost-effectiveness planes and acceptability curves for various willingness-to-pay thresholds. In the base-case analysis, MALDI-TOF analysis with an ASP was the most cost-effective strategy, resulting in savings of $29,205 per quality-adjusted life year and preventing 1 death per 14 patients with suspected bloodstream infection tested compared to conventional laboratory methods without an ASP (ICER, -$29,205/quality-adjusted life year). BC-GN with an ASP (ICER, -$23,587/quality-adjusted life year), PCR with an ASP (ICER, -$19,833/quality-adjusted life year), and PCR without an ASP (ICER, -$21,039/quality-adjusted life year) were other cost-effective options. In the probabilistic analysis, mRDT was dominant and cost-effective in 85.1% of simulations. Importantly, mRDT with an ASP had an 80.0% chance of being cost-effective, while mRDT without an ASP had only a 41.1% chance. In conclusion, our findings suggest that mRDTs are cost-effective for the diagnosis of patients with suspected bloodstream infection and can reduce health care expenditures. Notably, the combination of mRDT and an ASP can result in substantial health care savings.

The impact of antibiotic prescription rates on the incidence of MRSA bloodstream infections: A county-level, US-wide analysis.

OBJECTIVES: To investigate the association of methicillin-resistant Staphylococcus aureus (MRSA) bloodstream infection with socioeconomic factors and antibiotic prescriptions at the county level. METHODS: MRSA bloodstream infection rates were extracted from the Medicare Hospital Compare database. Data on socioeconomic factors and antibiotic prescriptions were obtained from the US Census Bureau and the Medicare Part D database, respectively. RESULTS: In multivariate analysis, antibiotic prescriptions demonstrated a powerful positive association with MRSA bloodstream infection rates [Coefficient (Coeff): 0.432, 95% Confidence Interval (CI): 0.389, 0.474, P < 0.001], which was largely attributable to lincosamides (Coeff: 0.257, 95% CI: 0.177, 0.336, P < 0.001), glycopeptides (Coeff: 0.223, 95% CI: 0.175, 0.272, P < 0.001), and sulfonamides (Coeff: 0.166, 95% CI: 0.082, 0.249, P < 0.001). Sociodemographic factors, such as poverty (Coeff: 0.094, 95% CI: 0.034, 0.155, P=0.002) exerted a secondary positive impact on MRSA bloodstream infection. Conversely, college education (Coeff: -0.037, 95% CI: -0.068, -0.005, P=0.024), a larger median room number per house (Coeff: -0.107, 95% CI: -0.134, -0.081, P < 0.001), and an income above the poverty line (100% < income < 150% of the poverty line) (Coeff: -0.257, 95% CI: -0.314, -0.199, P < 0.001) were negatively associated with MRSA incidence rates. A multivariate model that incorporated socioeconomic data and antibiotic prescription rates predicted 39.1% of the observed variation in MRSA bloodstream infection rates (Pmodel < 0.001). CONCLUSIONS: MRSA bloodstream infection rates were strongly associated with county-level antibiotic use and socioeconomic factors. If the causality of these associations is confirmed, antimicrobial stewardship programs that extend outside acute healthcare facilities would likely prove instrumental in arresting the spread of MRSA.

The impact of HIV infection and socioeconomic factors on the incidence of gonorrhea: A county-level, US-wide analysis.

BACKGROUND: Gonorrhea is the second most commonly reported identifiable disease in the United States (U.S.). Importantly, more than 25% of gonorrheal infections demonstrate antibiotic resistance, leading the Centers for Disease Control and Prevention (CDC) to classify gonorrhea as an "urgent threat". METHODS: We examined the association of gonorrhea infection rates with the incidence of HIV and socioeconomic factors. A county-level multivariable model was then constructed. RESULTS: Multivariable analysis demonstrated that HIV incidence [Coefficient (Coeff): 1.26, 95% Confidence Interval (CI): 0.86, 1.66, P<0.001] exhibited the most powerful independent association with the incidence of gonorrhea and predicted 40% of the observed variation in gonorrhea infection rates. Sociodemographic factors like county urban ranking (Coeff: 0.12, 95% CI: 0.03, 0.20, P = 0.005), percentage of women (Coeff: 0.41, 95% CI: 0.28, 0.53, P<0.001) and percentage of individuals under the poverty line (Coeff: 0.45, 95% CI: 0.32, 0.57, P<0.001) exerted a secondary impact. A regression model that incorporated these variables predicted 56% of the observed variation in gonorrhea incidence (Pmodel<0.001, R2 model = 0.56). CONCLUSIONS: Gonorrhea and HIV infection exhibited a powerful correlation thus emphasizing the benefits of comprehensive screening for sexually transmitted infections (STIs) and the value of pre-exposure prophylaxis for HIV among patients visiting an STI clinic. Furthermore, sociodemographic factors also impacted gonorrhea incidence, thus suggesting another possible focus for public health initiatives.

Discrepancy between financial disclosures of authors of clinical practice guidelines and reports by industry.

There is a substantial effort to increase the accuracy of conflicts of interest (COI) reporting, and reduce the influence of COI between physicians and industry, especially as it relates to clinical practice guidelines.We used the newly implemented Open Payments dataset to evaluate the accuracy of COI disclosures of authors of clinical practice guidelines that were either newly published or revised within 2014 and were included in the National Guideline Clearinghouse (NGC) website (maintained by the U.S. Department of Health and Human Services). Authors were considered as having inaccurate COI disclosure if they had not reported all companies from which they had received funds >$5000 in the 12 months preceding the guideline's publication.We identified 223 guidelines that were either newly published (109/223; 48.9%) or revised (114/223; 51.1%) within 2014 and were included in the NGC website. Among the 1329 guideline authors with available Open Payments data, 523 received >$5000 from at least 1 healthcare-associated entity. However, only 56 out of the 523 authors (10.7%) were found to have accurate COI disclosure. The percentage of authors with accurate COI disclosure in revised guidelines was significantly lower than in newly published guidelines (6.8% vs 14.3%; P < 0.01) and was also found to differ between specialties. Furthermore, authors were less likely to inaccurately disclose "research payments" (37/49, 75.5%) compared to "general payments" (488/559, 87.3%, P = 0.02) as well as "other/associated research funding" (430/506, 85.0%, P = 0.08). No statistically significant association was detected between funding amount and disclosure accuracy.The majority of guideline authors lacked significant COIs, but among authors that received significant funds from at least 1 healthcare-associated entity the frequency of accurate disclosure was low. These findings indicate that the current process of disclosing COIs may be suboptimal and a proactive approach should be adopted in order to minimize COI reporting discrepancies. Furthermore, every effort should be undertaken to ensure the completeness and accuracy of the data recorded in the Open Payments database.