Estimation of Excess Mortality Rates Among US Assisted Living Residents During the COVID-19 Pandemic.

The devastating effects of COVID-19 among older adults residing in long-term care settings have been well documented.1 Although much attention has been paid to COVID-19–associated mortality in nursing homes,2 less is understood about its effects on assisted living residents. Most assisted living residents are aged 80 years or older and many have multiple chronic illnesses, making them highly susceptible to poor outcomes of COVID-19.3 This study examines the excess mortality among a US cohort of assisted living residents during the COVID-19 pandemic

National trends in the treatment of urinary tract infections among Veterans’ Affairs Community Living Center residents

Objective: To describe urinary tract infection (UTI) treatment among Veterans’ Affairs (VA) Community Living Centers (CLCs) nationally and to assess related trends in antibiotic use. Design: Descriptive study. Setting and participants: All UTI episodes treated from 2013 through 2017 among residents in 110 VA CLCs. UTI episodes required collection of a urine culture, antibiotic treatment, and a UTI diagnosis code. UTI episodes were stratified into culture-positive and culture-negative episodes. Methods: Frequency and rate of antibiotic use were assessed for all UTI episodes overall and were stratified by culture-positive and culture-negative episodes. Joinpoint software was used for regression analyses of trends over time. Results: We identified 28,247 UTI episodes in 14,983 Veterans. The average age of Veterans was 75.7 years, and 95.9% were male. Approximately half of UTI episodes (45.7%) were culture positive and 25.7% were culture negative. Escherichia coli was recovered in 34.1% of culture-positive UTI episodes, followed by Proteus mirabilis and Klebsiellaspp, which were recovered in 24.5% and 17.4% of culture-positive UTI episodes, respectively. The rate of total antibiotic use in days of therapy (DOT) per 1,000 bed days decreased by 10.1% per year (95% CI, −13.6% to −6.5%) and fluoroquinolone use (ciprofloxacin or levofloxacin) decreased by 14.5% per year (95% CI, −20.6% to −7.8%) among UTI episodes overall. Similar reductions in rates of total antibiotic use and fluoroquinolone use were observed among culture-positive UTI episodes and among culture-negative UTI episodes. Conclusion: Over a 5-year period, antibiotic use for UTIs significantly decreased among VA CLCs, as did use of fluoroquinolones. Antibiotic stewardship efforts across VA CLCs should be applauded, and these efforts should continue

Frequency and Predictors of Suboptimal Prescribing Among a Cohort of Older Male Residents with Urinary Tract Infection

BACKGROUND Unnecessary antibiotic treatment of suspected urinary tract infection (UTI) is common in long-term care facilities (LTCFs). However, less is known about the extent of suboptimal treatment, in terms of antibiotic choice, dose, and duration, after the decision to use antibiotics has been made. METHODS We described the frequency of potentially suboptimal treatment among residents with an incident UTI (first during the study with none in the year prior) in Veterans Affairs’ (VA) Community Living Centers (CLCs, 2013-2018). Time trends were analyzed using Joinpoint regression. Residents with UTIs receiving potentially suboptimal treatment were compared to those receiving optimal treatment to identify resident characteristics predictive of suboptimal antibiotic treatment, using multivariable unconditional logistic regression models. RESULTS We identified 21,938 residents with an incident UTI treated in 120 VA CLCs, of which 96.0% were male. Potentially suboptimal antibiotic treatment was identified in 65.0% of residents and decreased 1.8% annually (p\u3c0.05). Potentially suboptimal initial drug choice was identified in 45.6% of residents, suboptimal dose frequency in 28.6%, and longer than recommended duration in 12.7%. Predictors of suboptimal antibiotic treatment included: prior fluoroquinolone exposure (adjusted odds ratio [aOR] 1.38), chronic renal disease (aOR 1.19), age \u3e85 years (aOR 1.17), prior skin infection (aOR 1.14), recent high white blood cell count (aOR 1.08), and genitourinary disorder (aOR 1.08). CONCLUSION Similar to findings in non-VA facilities, potentially suboptimal treatment was common but improving in CLC residents with an incident UTI. Predictors of suboptimal antibiotic treatment should be targeted with antibiotic stewardship interventions to improve UTI treatment

Predictors of potentially suboptimal treatment of urinary tract infections in long-term care facilities

Background: Suboptimal antibiotic treatment of urinary tract infection (UTI) is high in long-term care facilities (LTCFs) and likely varies between facilities. Large-scale evaluations have not been conducted. Aim: To identify facility-level predictors of potentially suboptimal treatment of UTI in Veterans Affairs (VA) LTCFs and to quantify variation across facilities. Methods: This was a retrospective cohort study of 21,938 residents in 120 VA LTCFs (2013–2018) known as Community Living Centers (CLCs). Potentially suboptimal treatment was assessed from drug choice, dose frequency, and/or treatment duration. To identify facility characteristics predictive of suboptimal UTI treatment, LTCFs with higher and lower rates of suboptimal treatment (≥median, \u3c median) were compared using unconditional logistic regression models. Joinpoint regression models were used to quantify average percentage difference across facilities. Multilevel logistic regression models were used to quantify variation across facilities. Findings: The rate of potentially suboptimal antibiotic treatment varied from 1.7 to 34.2 per 10,000 bed-days across LTCFs. The average percentage difference in rates across facilities was 2.5% (95% confidence interval (CI): 2.4–2.7). The only facility characteristic predictive of suboptimal treatment was the incident rate of UTI per 10,000 bed-days (odds ratio: 4.9; 95% CI: 2.3–10.3). Multilevel models demonstrated that 94% of the variation between facilities was unexplained after controlling for resident and CLC characteristics. The median odds ratio for the full multilevel model was 1.37. Conclusion: Potentially suboptimal UTI treatment was variable across VA LTCFs. However, most of the variation across LTCFs was unexplained. Future research should continue to investigate factors that are driving suboptimal antibiotic treatment in LTCFs

Correction: Expanding the clinical phenotype of individuals with a 3-bp in-frame deletion of the NF1 gene (c.2970_2972del): an update of genotype–phenotype correlation

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Expanding the clinical phenotype of individuals with a 3-bp in-frame deletion of the NF1 gene (c.2970_2972del): an update of genotype–phenotype correlation

Purpose: Neurofibromatosis type 1 (NF1) is characterized by a highly variable clinical presentation, but almost all NF1-affected adults present with cutaneous and/or subcutaneous neurofibromas. Exceptions are individuals heterozygous for the NF1 in-frame deletion, c.2970_2972del (p.Met992del), associated with a mild phenotype without any externally visible tumors. Methods: A total of 135 individuals from 103 unrelated families, all carrying the constitutional NF1 p.Met992del pathogenic variant and clinically assessed using the same standardized phenotypic checklist form, were included in this study. Results: None of the individuals had externally visible plexiform or histopathologically confirmed cutaneous or subcutaneous neurofibromas. We did not identify any complications, such as symptomatic optic pathway gliomas (OPGs) or symptomatic spinal neurofibromas; however, 4.8% of individuals had nonoptic brain tumors, mostly low-grade and asymptomatic, and 38.8% had cognitive impairment/learning disabilities. In an individual with the NF1 constitutional c.2970_2972del and three astrocytomas, we provided proof that all were NF1-associated tumors given loss of heterozygosity at three intragenic NF1 microsatellite markers and c.2970_297

Effect of Forced Transitions on the Most Functionally Impaired Nursing Home Residents

Objectives: To examine the hospitalization rate and mortality associated with forced mass transfer of nursing home (NH) residents with the highest levels of functional impairment. Design: Retrospective cohort study. Setting: One hundred nineteen Texas and Louisiana NHs identified as being at risk for evacuation for Hurricane Gustav. Participants: Six thousand four hundred sixty-four long-stay residents residing in at-risk NHs for at least three consecutive months before landfall of Hurricane Gustav. Measurements: Using Medicare claims and instrumental variable analysis, the mortality (death at 30 and 90 days) and hospitalization rates (at 30 and 90 days) of the most functionally impaired long-stay residents who were evacuated for Hurricane Gustav were compared with those of the most functionally impaired residents who did not evacuate. Results: The effect of evacuation was associated with 8% more hospitalizations by 30 and 90 days for the most functionally impaired residents. Evacuation was not significantly related to mortality. Conclusion: The most functionally impaired NH residents experience more hospitalizations but not mortality as a consequence of forced mass transfer. With the inevitability of NH evacuations for many different reasons, harm mitigation strategies focused on the most impaired residents are needed

Antibiograms Cannot Be Used Interchangeably Between Acute Care Medical Centers and Affiliated Nursing Homes

Objective: To determine whether antibiograms for Veterans Affairs (VA) nursing homes (NHs), termed Community Living Centers, are similar to those from their affiliated acute care medical centers. Design: Descriptive study. Setting and participants: We compared the 2017 antibiograms for VA NHs to their affiliated VA medical centers (VAMCs). Antibiograms included antibiotic susceptibility rates for commonly observed bacteria in this setting (Staphylococcus aureus, Enterococcus spp, Escherichia coli, Klebsiella spp, Proteus mirabilis, and Pseudomonas aeruginosa). Methods: Antibiograms were considered to be in complete agreement when the overall susceptibility rate between the NH and affiliated VAMC was either at or above 80% or below 80% across all bacteria and antibiotics. Average percentage of bacteria-antibiotic comparisons in disagreement per facility pair, and number of facilities with agreement for specific bacteria-antibiotic comparisons were also assessed. The chi-square test was used to compare disagreement between NH-VAMC facilities based on geographic proximity of the NH to the VAMC, culture source, and bed size. Results: A total of 119 NH-VAMC affiliate pairs were included in this analysis, with 71% (84/119) on the same campus and 29% (35/119) on geographically distinct campuses. None of the NH-VAMC pairs demonstrated complete agreement (all bacteria vs all antibiotics) between their antibiograms. On average, 20% of the bacteria-antibiotic comparisons from the antibiogram disagreed clinically per NH-VAMC pair, and almost twice as often the nursing home had lower susceptibility (higher resistance) than the acute care facility. Some bacteria-antibiotic comparisons agreed in all facilities (eg, E coli–imipenem; S aureus–linezolid; S aureus–vancomycin), while others showed greater disagreement (eg, Klebsiella spp–cefazolin; Klebsiella spp–ampicillin-sulbactam; P aeruginosa–ciprofloxacin). Rates of clinical disagreement were similar by geographic proximity of the NH to the VAMC, culture source, and bed size. Conclusions and implications: Overall, this study showed a moderate lack of agreement between VA NH antibiograms and their affiliate VAMC antibiograms. Our data suggest that antibiograms of acute care facilities are often not accurate approximations of the nursing home resistance patterns and therefore should be used with caution (if at all) in guiding empiric antibiotic therapy