Association Between Social Vulnerability and Streptococcus pneumoniae Antimicrobial Resistance in US Adults.

BACKGROUND: Growing evidence indicates antimicrobial resistance disproportionately affects individuals living in socially vulnerable areas. This study evaluated the association between Streptococcus pneumoniae (SP) antimicrobial resistance (AMR) and the CDC/ATSDR Social Vulnerability Index (SVI) in the United States. METHODS: Adult patients ≥ 18 years with 30-day nonduplicate SP isolates from ambulatory/hospital settings from January 2011-December 2022 with zip codes of residence were evaluated across 177 facilities in the BD Insights Research Database. Isolates were identified as SP AMR if they were non-susceptible to ≥ 1 antibiotic class (macrolide, tetracycline, extended-spectrum cephalosporins, or penicillin). Associations between SP AMR and SVI score (overall and themes) were evaluated using generalized estimating equations with repeated measurements within county to account for within-cluster correlations. RESULTS: Of 8,008 unique SP isolates from 574 US counties across 39 states, the overall proportion of AMR was 49.9%. A significant association between socioeconomic status (SES) theme and SP AMR was detected with higher SES theme SVI score (indicating greater social vulnerability) associated with greater risk of AMR. On average, a decile increase of SES, indicating greater vulnerability, was associated with a 1.28% increased risk of AMR (95% confidence interval [CI], 0.61%, 1.95%; P=0.0002). A decile increase of household characteristic score was associated with a 0.81% increased risk in SP AMR (95% CI,0.13%, 1.49%; P=0.0197). There was no association between racial/ethnic minority status, housing type and transportation theme, or overall SVI score and SP AMR. CONCLUSIONS: SES and household characteristics were the SVI themes most associated with SP AMR.

Clinical and economic burden of invasive pneumococcal disease and noninvasive all-cause pneumonia in hospitalized US adults: A multicenter analysis from 2015 to 2020.

OBJECTIVES: To evaluate the clinical and economic outcomes in adults hospitalized with invasive pneumococcal disease (IPD) and noninvasive all-cause pneumonia (ACP) overall and by antimicrobial resistance (AMR) status. METHODS: Hospitalized adults from the BD Insights Research Database with an ICD10 code for IPD, noninvasive ACP or a positive Streptococcus pneumoniae culture/urine antigen test were included. Descriptive statistics and multivariable analyses were used to evaluate outcomes (in-hospital mortality, length of stay [LOS], cost per admission, and hospital margin [costs - payments]). RESULTS: The study included 88,182 adult patients at 90 US hospitals (October 2015-February 2020). Most (98.6%) had noninvasive ACP and 40.2% were <65 years old. Of 1450 culture-positive patients, 37.7% had an isolate resistant to ≥1 antibiotic class. Observed mortality, median LOS, cost per admission, and hospital margins were 8.3%, 6 days, $9791, and $11, respectively. Risk factors for mortality included ≥50 years of age, higher risk of pneumococcal disease (based on chronic or immunocompromising conditions), and intensive care unit admission. Patients with IPD had similar mortality rates and hospital margins compared with noninvasive ACP, but greater costs per admission and LOS. CONCLUSION: IPD and noninvasive ACP are associated with substantial clinical and economic burden across all adult age groups. Expanded pneumococcal vaccination programs may help reduce disease burden and decrease hospital costs.

The impact of infections on reimbursement in 92 US hospitals, 2015-2018.

BACKGROUND: The diagnosis-related group (DRG) is a payment system introduced to standardize healthcare costs. However, reimbursement for treatment of infections does not always cover costs. METHODS: We used 2015-2018 data from 92 US hospitals in the Becton Dickinson Insights Research Database to compare the financial burden of hospital admissions within non-infection DRGs for patients with a bacterial infection (INF+) versus those without an infection (INF-). Included patients were adults with a hospital length of stay (LOS) ≥3 days and evidence of infection. Multi-variable adjusted analyses via generalized linear mixed models were used to evaluate the impact of an infection on outcomes. RESULTS: We analyzed data from 133,423 INF+ admissions and 170,531 INF- admissions. Infections were associated with an approximately two-fold increase in model-estimated LOS (9.2 vs 4.8 d; P < .001) and intensive care unit LOS (5.1 vs 2.8 d; P < .001). The average additional hospital cost for INF+ versus INF- admissions was $10,326 per admission (P < .001) and the average loss after reimbursement was $1,067 (P = .006). Only private insurance payers had a positive margin. CONCLUSIONS: Current reimbursement options for infections result in significant hospital financial burden. Reimbursement models should be reconsidered to enable adoption of costlier diagnostics and antimicrobials.

Contributing Factors to the Clinical and Economic Burden of Patients with Laboratory-Confirmed Carbapenem-Nonsusceptible Gram-Negative Urinary Tract Infections.

PURPOSE: We explored patient- and hospital-level predictor variables for worse clinical and economic outcomes in carbapenem-nonsusceptible urinary tract infections (UTIs). PATIENTS AND METHODS: We used electronic data (January 2013-September 2015; 78 US hospitals) from a large multicenter clinical database. Nonduplicate gram-negative isolates were considered carbapenem-nonsusceptible if they had resistant/intermediate susceptibility. Potential predictors of outcomes (mortality, 30-day readmissions, length of stay [LOS], hospital total cost, and net gain/loss per case) were examined using generalized linear mixed models. Significant predictors were identified based on statistical significance and model goodness-of-fit criteria. RESULTS: A total of 1439 carbapenem-nonsusceptible urine cases were identified. The mortality rate was 5.5%; the hospital readmission rate was 25.0%. Mean (standard deviation [SD]) LOS, total cost, and loss per case were 12 (14) days, $21,502 ($37,172), and $5828 ($26,540), respectively. Hospital-onset (vs community-onset) infection significantly impacted all outcomes: mortality (odds ratio [OR], 2.21; 95% confidence interval [CI], 1.19-4.11; P=.01), 30-day readmissions (OR, 2.35; 95% CI, 1.49-3.71; P<.001), LOS (25.7 vs 10.2 days; P<.001), hospital total cost ($67,810 vs $22,141; P<.001), and loss per case (-$28,054 vs -$10,809; P<.001). Mechanical ventilation/intensive care unit status, neoplasms, and other underlying diseases were also common predictors for worse outcomes overall; polymicrobial infection was significantly associated with worse economic outcomes. Other key predictors were >1 prior hospitalization for 30-day readmissions, high Acute Laboratory Risk of Mortality Score for mortality, LOS, cost, and hospital teaching status for cost. CONCLUSION: Hospital-onset infections, polymicrobial infections, higher clinical severity, and underlying diseases are key predictors for worsened overall burden of carbapenem-nonsusceptible gram-negative UTIs.

Contributing Factors to the Clinical and Economic Burden of Patients with Laboratory-Confirmed Carbapenem-Nonsusceptible Gram-Negative Respiratory Infections.

PURPOSE: This study examined patient- and hospital-level predictor variables that contribute to worse clinical and economic outcomes in patients with carbapenem-nonsusceptible respiratory infections. PATIENTS AND METHODS: Electronic data (January 2013 to September 2015) were from 78 US hospitals. Nonduplicate, gram-negative respiratory isolates were considered carbapenem-nonsusceptible if they tested resistant/intermediate to imipenem, meropenem, doripenem, or ertapenem. Potential predictors of outcomes (in-hospital mortality, 30-day readmission, length of stay [LOS], hospital total cost, and net gain/loss per patient) were examined using univariate analysis and generalized linear mixed models. Statistical significance and model goodness-of-fit criteria were used to identify significant predictors. RESULTS: A total of 1488 carbapenem-nonsusceptible respiratory patients were identified. Overall, the mortality rate was 13.7%, 30-day readmission rate was 20.6%, mean LOS was 20 days, mean total cost was $54,158, and mean net loss was $139 per patient. Our models showed that hospital-onset infection, higher clinical severity, mechanical ventilation/intensive care unit status, polymicrobial infection, and underlying diseases were all significant predictors for mortality, LOS, and total cost. Hospital-onset infections were also associated with a significantly greater net loss (P≤.01), and underlying disease significantly impacted readmissions (P=.03). The number of prior admissions, hospital characteristics, and payer type were also found to significantly impact measured outcomes. CONCLUSION: Carbapenem-nonsusceptible respiratory infections are associated with a considerable clinical and economic burden. The impact of hospital-onset infections on both clinical and economic outcomes highlights the continued need for action on this modifiable risk factor through antimicrobial stewardship and optimal therapy, thereby reducing the burden in this patient population.

Attributable burden in patients with carbapenem-nonsusceptible gram-negative respiratory infections.

OBJECTIVE: We aimed to describe the clinical and economic burden attributable to carbapenem-nonsusceptible (C-NS) respiratory infections. METHODS: This retrospective matched cohort study assessed clinical and economic outcomes of adult patients (aged ≥18 years) who were admitted to one of 78 acute care hospitals in the United States with nonduplicate C-NS and carbapenem-susceptible (C-S) isolates from a respiratory source. A subset analysis of patients with principal diagnosis codes denoting bacterial pneumonia or other diagnoses was also conducted. Isolates were classified as community- or hospital-onset based on collection time. A generalized linear mixed model method was used to estimate the attributable burden for mortality, 30-day readmission, length of stay (LOS), cost, and net gain/loss (payment minus cost) using propensity score-matched C-NS versus C-S cohorts. RESULTS: For C-NS cases, mortality (25.7%), LOS (29.4 days), and costs ($81,574) were highest in the other principal diagnosis, hospital-onset subgroup; readmissions (19.4%) and net loss (-$9522) were greatest in the bacterial pneumonia, hospital-onset subgroup. Mortality and readmissions were not significantly higher for C-NS cases in any propensity score-matched subgroup. Significant C-NS-attributable burden was found for both other principal diagnosis subgroups for LOS (hospital-onset: 3.7 days, P = 0.006; community-onset: 1.5 days, P<0.001) and cost (hospital-onset: $12,777, P<0.01; community-onset: $2681, P<0.001). CONCLUSIONS: Increased LOS and cost burden were observed in propensity score-matched patients with C-NS compared with C-S respiratory infections; the C-NS-attributable burden was significant only for patients with other principal diagnoses.

[EXPERIMENTAL ASSESSMENT OF BLADDER REGENERATION BY COLLAGEN MEMBRANE SCAFFOLDS].

OBJECTIVE: To observe the bladder regeneration by collagen membrane scaffolds for bladder construction to find a new alternative scaffold material. METHODS: Twelve healthy adult male Sprague Dawley rats, weighing 300-350 g, were randomly divided into collagen membrane scaffold group (experimental group, n = 6), and sham operated group (control group, n = 6). Upper hemicystectomy was performed and collagen scaffold was used for reconstruction in experimental group, while the bladder was turned over without bladder resection in control group. At 30 days after operation, the animals were sacrificed and grafts were harvested; HE staining and Masson staining were used to evaluate the bladder regeneration, immunohistochemical staining was performed with α-smooth muscleactin (α-SMA) and von Willebrand factor (vWF) markers to evaluate the percentage of α-SMA positive area and capillary number. RESULTS: The rats of 2 groups survived to the end of the experiment, and no urine leakage or infection was observed in experimental group. Histologically, control group presented a pattern of normal bladder structure, experimental group presented a pattern of almost normal urothelium with a small amount of smooth muscle cells and a thin layer of undegraded collagen fibers. Immunohistochemically, experimental group showed ingrowth of smooth muscle fibers and new capillary formation along the collagen membrane scaffolds. The percentage of α-SMA positive area and capillary number in experimental group were significantly lower than those in control group (6.49% ± 2.14% vs. 52.42% ± 1.78% and 4.83 ± 0.75 vs. 14.83 ± 1.17, respectively) (t = 40.40, P = 0.00; t = 17.62, P = 0.00). CONCLUSION: The collagen membrane scaffolds could be an effective scaffold material for bladder reconstruction.