Survey of the Faculty Status of Optometrists at Academic Medical Centers in the United States.

SIGNIFICANCE: This is the first study of the prevalence and faculty status of optometrists practicing at academic medical centers in the United States. PURPOSE: This study aimed to quantify the number of optometrists at academic medical centers, along with faculty rank and post-doctoral training programs. METHODS: The official Web sites of academic medical centers and schools of medicine in the United States were examined during the 2021 to 2022 academic year to identify departments of ophthalmology and collect faculty profiles of employed optometrists. Institutional data were cross-referenced and analyzed by geographic distribution. Data were gathered from the Association of Schools and Colleges of Optometry and Accreditation Council on Optometry Education to identify post-graduate training programs in optometry. RESULTS: A total of 192 academic medical centers were identified, of which 121 (63.02%) had a residency or fellowship program in ophthalmology and/or optometry. One hundred twenty-five (65.10%) of these institutions had at least one staff optometrist. Seven hundred eighteen optometrists were found at these institutions, representing 1.83% of the 39,205 practicing optometrists estimated in the United States. Of the 718 optometrists, 369 (51.39%) held an academic appointment at a medical school. The most common academic rank was assistant professor (184 [25.63%]), followed by instructor (138 [19.22%]), associate professor (34 [4.74%]), and full professor (13 [1.81%]). The distribution of academic rank was similar across all regions but varied between institutions as to whether all, some, or none of the optometric faculty were appointed by a medical school. Of 296 optometry residency programs in the United States, 21 (7.09%) were at an academic medical center. Of 15 optometric fellowship programs in the United States, 3 (20%) were at an academic medical center. Of the 192 institutions in this study, 22 (11.46%) had a post-doctoral optometric training program. CONCLUSIONS: This study shows the distribution of academic rank and post-doctoral training programs for optometrists at academic medical centers.

Transmission Dynamics of the Delta Variant of SARS-CoV-2 Infections in South Korea.

BACKGROUND: The Delta variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was the predominant variant worldwide at the time of this study. However, its transmission dynamics were unclear. METHODS: We analyzed 405 local cases infected with the Delta variant of SARS-CoV-2 and temporal patterns of viral shedding identified between 22 June and 31 July 2021 in Daejeon, South Korea. RESULTS: Overall, 20% were presymptomatic at the time of epidemiological investigation. We identified 6 clustered outbreaks, and all were associated with indoor facilities. In 23 household contacts, the secondary attack rate was 63%. We estimated the mean serial interval as 3.26 days (95% credible interval, 2.92-3.60), and 15% (95% confidence interval, 13%-18%) of cases seeded 80% of all local transmission. Analysis of the nasopharyngeal swab samples identified virus shedding from the presymptomatic cases and the highest viral load was observed 2 days after symptom onset. CONCLUSIONS: Our findings suggest that the Delta variant is highly transmissible in indoor settings and households. Rapid contact tracing, isolation of the asymptomatic contacts, strict adherence to public health measures, and increased uptake of coronavirus disease 2019 (COVID-19) vaccination, including booster doses, are needed to reduce community transmission of the Delta variant.

An informatics infrastructure to catalyze cancer control research and practice.

PURPOSE: A disconnect often exists between those with the expertise to manage and analyze complex, multi-source data sets, and the clinical, social services, advocacy, and public health professionals who can pose the most relevant questions and best apply the answers. We describe development and implementation of a cancer informatics infrastructure aimed at broadening the usability of community cancer data to inform cancer control research and practice; and we share lessons learned. METHODS: We built a multi-level database known as The Ohio Cancer Assessment and Surveillance Engine (OH-CASE) to link data from Ohio's cancer registry with community data from the U.S. Census and other sources. Space-and place-based characteristics were assigned to individuals according to residential address. Stakeholder input informed development of an interface for generating queries based on geographic, demographic, and disease inputs and for outputting results aggregated at the state, county, municipality, or zip code levels. RESULTS: OH-CASE contains data on 791,786 cancer cases diagnosed from 1/1/2006 to 12/31/2018 across 88 Ohio counties containing 1215 municipalities and 1197 zip codes. Stakeholder feedback from cancer center community outreach teams, advocacy organizations, public health, and researchers suggests a broad range of uses of such multi-level data resources accessible via a user interface. CONCLUSION: OH-CASE represents a prototype of a transportable model for curating and synthesizing data to understand cancer burden across communities. Beyond supporting collaborative research, this infrastructure can serve the clinical, social services, public health, and advocacy communities by enabling targeting of outreach, funding, and interventions to narrow cancer disparities.

Expanding the definition beyond surveillance criteria reveals a large burden of osteomyelitis caused by group B Streptococcus in the United States Veterans Health Administration.

BACKGROUND: Population-based surveillance studies may underestimate osteomyelitis caused by Group B Streptococcus (GBS). We analyzed cases of GBS osteomyelitis, including patients diagnosed using an expanded case definition that incorporates cultures from non-sterile sites, as well as cultures from normally sterile sites. METHODS: We retrospectively examined a cohort of veterans with the diagnosis of osteomyelitis between 2008 and 2017. Cases of definite GBS osteomyelitis required GBS isolation from normally sterile sites, (e.g., blood or bone). Cases of probable GBS osteomyelitis permitted GBS isolation from non-sterile sites (e.g., surgical sites, wounds). We compared comorbid conditions, lower extremity amputation and mortality rates in these groups. RESULTS: Among 1281 cases of GBS osteomyelitis, the median age was 63 years, 87% had diabetes mellitus and 37% had peripheral vascular disease. Similar characteristics were found in 768 (60%) cases classified as definite and 513 (40%) classified as probable GBS osteomyelitis. Polymicrobial infection was less frequent in patients with definite than with probable GBS osteomyelitis (45% vs. 85%; P < 0.001). Mortality rates within 1-year were similar for definite and probable GBS osteomyelitis (12% vs. 10%). Amputation within 1-year occurred in 21% of those with definite and 10% of those with probable GBS osteomyelitis of the lower extremity, with comparable rates in the subset with monomicrobial infection. CONCLUSIONS: Expanding the definition of GBS osteomyelitis to include cases with cultures from non-sterile sites may be warranted, increasing the estimated burden of GBS osteomyelitis. This can help guide preventive efforts to reduce the impact of GBS osteomyelitis.

New Baseline Renal Function after Radical or Partial Nephrectomy: A Simple and Accurate Predictive Model.

PURPOSE: Preoperative estimation of new baseline glomerular filtration rate after partial nephrectomy or radical nephrectomy for renal cell carcinoma has important clinical implications. However, current predictive models are either complex or lack external validity. We aimed to develop and validate a simple equation to estimate postoperative new baseline glomerular filtration rate. MATERIALS AND METHODS: For development and internal validation of the equation, a cohort of 7,860 patients with renal cell carcinoma undergoing partial nephrectomy/radical nephrectomy (2005-2015) at the Veterans Affairs National Health System was analyzed. Based on preliminary analysis of 94,327 first-year postoperative glomerular filtration rate measurements, new baseline glomerular filtration rate was defined as the final glomerular filtration rate within 3 to 12 months after surgery. Multivariable linear regression analyses were applied to develop the equation using two-thirds of the renal cell carcinoma Veterans Administration cohort. The simplest model with the highest coefficient of determination (R2) was selected and tested. This model was then internally validated in the remaining third of the renal cell carcinoma Veterans Administration cohort. Correlation/bias/accuracy/precision of equation were examined. For external validation, a similar cohort of 3,012 patients with renal cell carcinoma from an outside tertiary care center (renal cell carcinoma-Cleveland Clinic) was independently analyzed. RESULTS: New baseline glomerular filtration rate (in ml/minute/1.73 m2) can be estimated with the following simplified equation: new baseline glomerular filtration rate = 35 + preoperative glomerular filtration rate (× 0.65) - 18 (if radical nephrectomy) - age (× 0.25) + 3 (if tumor size >7 cm) - 2 (if diabetes). Correlation/bias/accuracy/precision were 0.82/0.00/83/-7.5-8.4 and 0.82/-0.52/82/-8.6-8.0 in the internal/external validation cohorts, respectively. Additionally, the area under the curve (95% confidence interval) to discriminate postoperative new baseline glomerular filtration rate ≥45 ml/minute/1.73 m2 from receiver operating characteristic analyses were 0.90 (0.88, 0.91) and 0.90 (0.89, 0.91) in the internal/external validation cohorts, respectively. CONCLUSIONS: Our study provides a validated equation to accurately predict postoperative new baseline glomerular filtration rate in patients being considered for radical nephrectomy or partial nephrectomy that can be easily implemented in daily clinical practice.

Use of electronic pharmacy transaction data and website development to assess antibiotic use in nursing homes.

BACKGROUND: In 2017, the Centers for Medicare and Medicaid Services required all long-term care facilities, including nursing homes, to have an antibiotic stewardship program. Many nursing homes lack the resources, expertise, or infrastructure to track and analyze antibiotic use measures. Here, we demonstrate that pharmacy invoices are a viable source of data to track and report antibiotic use in nursing homes. METHODS: The dispensing pharmacy working with several nursing homes in the same healthcare corporation provided pharmacy invoices from 2014 to 2016 as files formatted as comma separated values. We aggregated these files by aligning elements into a consistent set of variables and assessed the completeness of data from each nursing home over time. Data cleaning involved removing rows that did not describe systemic medications, de-duplication, consolidating prescription refills, and removing prescriptions for insulin and opioids, which are medications that were not administered at a regular dose or schedule. After merging this cleaned invoice data to nursing home census data including bed days of care and publicly available data characterizing bed allocation for each nursing home, we used the resulting database to describe several antibiotic use metrics and generated an interactive website to permit further analysis. RESULTS: The resultant database permitted assessment of the following antibiotic use metrics: days of antibiotic therapy, length of antibiotic therapy, rate of antibiotic starts, and the antibiotic spectrum index. Further, we created a template for summarizing data within a facility and comparing across facilities. https://sunahsong.shinyapps.io/USNursingHomes/ . CONCLUSIONS: Lack of resources and infrastructure contributes to challenges facing nursing homes as they develop antibiotic stewardship programs. Our experience with using pharmacy invoice data may serve as a useful approach for nursing homes to track and report antibiotic use.

Low rates of antibiotics prescribed during telehealth primary-care visits persisted during the coronavirus disease 2019 (COVID-19) pandemic.

For primary care clinics at a Veterans' Affairs (VA) medical center, the shift from in-person to telehealth visits during the coronavirus disease 2019 (COVID-19) pandemic was associated with low rates of antibiotic prescription. Understanding contextual factors associated with antibiotic prescription practices during telehealth visits may help promote antibiotic stewardship in primary care settings.

Neither Race nor Ethnicity Impact the Mortality of Residents of Veterans Affairs Community Living Center With COVID-19.

OBJECTIVES: COVID-19 disproportionately affected nursing home residents and people from racial and ethnic minorities in the United States. Nursing homes in the Veterans Affairs (VA) system, termed Community Living Centers (CLCs), belong to a national managed care system. In the period prior to the availability of vaccines, we examined whether residents from racial and ethnic minorities experienced disparities in COVID-19 related mortality. DESIGN: Retrospective cohort study. SETTING AND PARTICIPANTS: Residents at 134 VA CLCs from April 14 to December 10, 2020. METHODS: We used the VA Corporate Data Warehouse to identify VA CLC residents with a positive SARS-CoV-2 polymerase chain reaction test during or 2 days prior to their admission and without a prior case of COVID-19. We assessed age, self-reported race/ethnicity, frailty, chronic medical conditions, Charlson comorbidity index, the annual quarter of the infection, and all-cause 30-day mortality. We estimated odds ratios and 95% confidence intervals of all-cause 30-day mortality using a mixed-effects multivariable logistic regression model. RESULTS: During the study period, 1133 CLC residents had an index positive SARS-CoV-2 test. Mortality at 30 days was 23% for White non-Hispanic residents, 15% for Black non-Hispanic residents, 10% for Hispanic residents, and 16% for other residents. Factors associated with increased 30-day mortality were age ≥70 years, Charlson comorbidity index ≥6, and a positive SARS-CoV-2 test between April 14 and June 30, 2020. Frailty, Black race, and Hispanic ethnicity were not independently associated with an increased risk of 30-day mortality. CONCLUSIONS AND IMPLICATIONS: Among a national cohort of VA CLC residents with COVID-19, neither Black race nor Hispanic ethnicity had a negative impact on survival. Further research is needed to determine factors within the VA health care system that mitigate the influence of systemic racism on COVID-19 outcomes in US nursing homes.

Similar Mortality Among United States Veterans With Invasive and Noninvasive Pneumonia due to Group B Streptococcus.

BACKGROUND: The nosology of noninvasive pneumonia due to group B Streptococcus (GBS) is not well defined. This study compared clinical characteristics and outcomes of patients with invasive pneumonia and noninvasive pneumonia caused by GBS. METHODS: We conducted a retrospective cohort study among Veterans Affairs (VA) healthcare users between 2008 and 2017. Using data from electronic health records, we identified patients who had blood or respiratory cultures that grew GBS and had invasive pneumonia or noninvasive pneumonia. We analyzed patient and infection characteristics associated with all-cause mortality, including among the subset of patients with cultures that were monomicrobial for GBS. RESULTS: Among 1791 patients with GBS pneumonia, 646 (36%) cases were invasive and 1145 (64%) were noninvasive. Among those, 535 and 424 cases of invasive and noninvasive pneumonia, respectively, had cultures that were monomicrobial for GBS. All-cause 30-day mortality among those with monomicrobial GBS pneumonia was 15% for both those with invasive and noninvasive disease, respectively. Increasing age, severity of illness, healthcare exposure in the previous 90 days, and polymicrobial infection with Staphylococcus aureus were independently associated with all-cause mortality at 30 days. CONCLUSIONS: In this large cohort, even when considering cases for which GBS was the only pathogen recovered, >40% of GBS pneumonia cases were noninvasive. All-cause mortality was comparable for invasive and noninvasive pneumonia. These findings suggest that the burden of GBS pneumonia may be greater than previously recognized by surveillance of invasive GBS disease and may inform treatment and prevention efforts.

Group B Streptococcus in the urine in nonpregnant adults: Disease or distraction?

In this large, retrospective cohort study, we used administrative data to evaluate nonpregnant adults with group B Streptococcus (GBS) bacteriuria. We found greater all-cause mortality in those with urinary tract infections compared to asymptomatic bacteriuria. Differences in patients' baseline characteristics and the 1-year mortality rate raise the possibility that provider practices contribute to differences observed.

Association of a geriatric emergency department program with healthcare outcomes among veterans.

BACKGROUND: We aim to describe the outcomes of Geriatric Emergency Room Innovations for Veterans (GERI-VET), the first comprehensive Veterans Affairs Geriatric ED program. METHODS: In this prospective observational cohort study at an urban Veterans Affairs Medical Center ED, participants included Veterans aged 65 years and older treated in the ED from January 7, 2017 to February 29, 2020. Veterans with an Identification of Seniors At Risk (ISAR) score >2 were considered eligible for GERI-VET, receiving geriatric screens and care coordination in addition to standard ED treatment. The control group included GERI-VET eligible Veterans who did not receive GERI-VET care. Propensity score matching was used to compare outcomes in the GERI-VET group (N = 725) and a matched control group (n = 725). Key measures included ED resource utilization, outpatient referrals, ED admission, and 30-day admission. RESULTS: In the ED, the GERI-VET group received more consults to pharmacy (315 [43.4%] vs. 195 [26.9%], p < 0.001) and social work (399 [55.0%] vs. 132 [18.2%], p < 0.001). The GERI-VET group had higher referral rates to Geriatrics (64 [17.7%] vs. 18 [5.8%], p < 0.001) and Home Based Primary Care (110 [30.4%] vs. 24 [7.8%], p < 0.001). Key outcome measures included lower rates of ED admission (363 [50.1%] vs. 417 [n = 57.5%], p = 0.003) and 30-day hospital admission (412 [56.8%] vs. 464 [64.0%], p = 0.004) without increasing ED length of stay (5.4 ± 2.2 vs. 5.4 ± 2.6 h, p = 0.85) or 72-h ED revisits (23 [3.2%] vs. 16 [2.2%], p = 0.25) in the GERI-VET group. CONCLUSIONS: A program designed to screen for geriatric syndromes and coordinate care among at-risk older Veterans was associated with increased multidisciplinary resource utilization and reduced ED and 30-day admissions without increasing ED length of stay or re-visitation.

Antibiotic exposure and acquisition of antibiotic-resistant gram-negative bacteria among outpatients at a US Veterans Affairs medical center.

Objectives: To assess the prevalence of antibiotic-resistant gram-negative bacteria (R-GNB) among patients without recent hospitalization and to examine the influence of outpatient antibiotic exposure on the risk of acquiring R-GNB in this population. Design: 2-year retrospective cohort study. Setting: Regional Veterans Affairs healthcare system. Patients: Outpatients at 13 community-based clinics. Methods: We examined the rate of acquisition of R-GNB within 90 days following an outpatient visit from 2018 to 2019. We used clinical and administrative databases to determine and summarize prescriptions for systemic antibiotics, associated infectious diagnoses, and subsequent R-GNB acquisition among patients without recent hospitalizations. We also calculated the odds ratio of R-GNB acquisition following antibiotic exposure. Results: During the 2-year study period, 7,215 patients had outpatient visits with microbiological cultures obtained within 90 days. Of these patients, 206 (2.9%) acquired an R-GNB. Among patients receiving antibiotics at the visit, 4.6% acquired a R-GNB compared to 2.7% among patients who did not receive antibiotics, yielding an unadjusted odds ratio of 1.75 (95% confidence interval, 1.18-2.52) for a R-GNB following an outpatient visit with versus without an antibiotic exposure. Regardless of R-GNB occurrence, >50% of antibiotic prescriptions were issued at visits without an infectious disease diagnosis or issued without documentation of an in-person or telehealth clinical encounter. Conclusions: Although the rate of R-GNBs was low (2.9%), the 1.75-fold increased odds of acquiring a R-GNB following an outpatient antibiotic highlights the importance of antimicrobial stewardship efforts in outpatient settings. Specific opportunities include reducing antibiotics prescribed without an infectious diagnosis or a clinical visit.

A Novel Metric for Hospital Quality in Kidney Cancer Surgery: A Veterans Affairs National Health System Validation of Concept.

INTRODUCTION: We aimed to develop and validate a Compound Quality Score (CQS) as a metric for hospital-level quality of surgical care in kidney cancer at the Veterans Affairs National Health System. METHODS: A retrospective review of 8,965 patients with kidney cancer treated at Veterans Affairs (2005-2015) was performed. Two previously validated process quality indicators (QIs) were explored: the proportion of patients with 1) T1a tumors undergoing partial nephrectomy and 2) T1-T2 tumors undergoing minimally invasive radical nephrectomy. Demographics/comorbidity/tumor characteristics/treatment year were used for case mix adjustments at hospital level. The predicted versus observed ratio of cases was calculated per hospital to generate QI scores using indirect standardization and multivariable regression models. CQS represents the sum of both scores. A total of 96 hospitals were grouped by CQS, and short-term patient-level outcomes were regressed on CQS levels to assess for length of stay (LOS), 30-day complications/readmission, 90-day mortality and total cost of surgical admission. RESULTS: CQS identified 25/33/38 hospitals with higher/lower/average performance, respectively. High performance hospitals had higher nephrectomy volumes (p <0.01). Total CQS independently associated with LOS (ß=-0.04, p <0.01, predicted LOS 0.84 days shorter for CQS=2 versus CQS=-2), 30-day surgical complications (OR=0.88, p <0.01) or 30-day medical complications (OR=0.93, p <0.01) and total cost of surgical admission (ß =-0.014, p <0.01, predicted 12% lower cost for CQS=2 versus CQS=-2). No association was found between CQS and 30-day readmissions or 90-day mortality (all p >0.05), although low event rates were observed (8.9% and 1.7%, respectively). CONCLUSIONS: Variability in quality of surgical care at hospital level can be captured with the CQS among patients with kidney cancer. CQS is associated with relevant short-term perioperative outcomes and surgical cost. QIs should be used to identify, audit and implement quality improvement strategies across health systems.

Influence of microbiological culture results on antibiotic choices for veterans with hospital-acquired pneumonia and ventilator-associated pneumonia.

OBJECTIVE: We examined the impact of microbiological results from respiratory samples on choice of antibiotic therapy in patients treated for hospital-acquired pneumonia (HAP) or ventilator-associated pneumonia (VAP). DESIGN: Four-year retrospective study. SETTING: Veterans' Health Administration (VHA). PATIENTS: VHA patients hospitalized with HAP or VAP and with respiratory cultures between October 1, 2014, and September 30, 2018. INTERVENTIONS: We compared patients with positive and negative respiratory culture results, assessing changes in antibiotic class and Antibiotic Spectrum Index (ASI) from the day of sample collection (day 0) through day 7. RESULTS: Between October 1, 2014, and September 30, 2018, we identified 5,086 patients with HAP/VAP: 2,952 with positive culture results and 2,134 with negative culture results. All-cause 30-day mortality was 21% for both groups. The mean time from respiratory sample receipt in the laboratory to final respiratory culture result was longer for those with positive (2.9 ± 1.3 days) compared to negative results (2.5 ± 1.3 days; P < .001). The most common pathogens were Staphylococcus aureus and Pseudomonas aeruginosa. Vancomycin and ß-lactam/ß-lactamase inhibitors were the most commonly prescribed agents. The decrease in the median ASI from 13 to 8 between days 0 and 6 was similar among patients with positive and negative respiratory cultures. Patients with negative cultures were more likely to be off antibiotics from day 3 onward. CONCLUSIONS: The results of respiratory cultures had only a small influence on antibiotics used during the treatment of HAP/VAP. The decrease in ASI for both groups suggests the integration of antibiotic stewardship principles, including de-escalation, into the care of patients with HAP/VAP.

Antibiotic Use Among Residents Receiving Skilled Nursing Care in 29 U.S. Nursing Homes.

BACKGROUND: Data describing antibiotic use in U.S. nursing homes remain limited. We report antibiotic use among skilled nursing facility residents from 29 U.S. nursing homes and assessed correlations between antibiotics prescribed to residents in skilled care and nursing home characteristics. DESIGN: Retrospective cohort study. SETTING: Twenty-nine U.S. nursing homes in the same healthcare corporation. PARTICIPANTS: Residents receiving skilled care in 2016. MEASUREMENTS: We used pharmacy invoice and nursing home census data to calculate the days of antibiotic therapy per 1,000 days of skilled care (1,000 DOSC), the rate of antibiotic starts per 1,000 DOSC, the length of antibiotic therapy, and the average antibiotic spectrum index. We also assessed correlations between antibiotic use and nursing home characteristics. RESULTS: Antibiotics accounted for an average of 9.6% (±0.6%) of systemic medications prescribed among residents receiving skilled care. On average, 26.8% (±2.9%) of antibiotics were intravenous. Fluoroquinolones were prescribed at the highest rates (19% across all facilities), followed by beta-lactam/beta-lactamase inhibitors (11%), first- and second-generation cephalosporins, sulfonamides, and oral tetracyclines (each at 9%). Both the proportion of residents using enrolled in Medicare and number of unique prescribers responsible for systemic prescriptions positively correlated with the rate of antibiotic starts. CONCLUSIONS: Our study demonstrates that pharmacy invoices represent a useful and preexisting source of data for assessing antibiotic prescriptions among individuals receiving skilled nursing care. The correlation between the number of unique prescribers and antibiotic starts suggests that prescribers are central to efforts to improve antibiotic use in nursing homes.

Impact of fever thresholds in detection of COVID-19 in Department of Veterans Affairs Community Living Center residents.

BACKGROUND: Among nursing home residents, for whom age and frailty can blunt febrile responses to illness, the temperature used to define fever can influence the clinical recognition of COVID-19 symptoms. To assess the potential for differences in the definition of fever to characterize nursing home residents with COVID-19 infections as symptomatic, pre-symptomatic, or asymptomatic, we conducted a retrospective study on a national cohort of Department of Veterans Affairs (VA) Community Living Center (CLC) residents tested for SARS-CoV-2. METHODS: Residents with positive SARS-CoV-2 tests were classified as asymptomatic if they did not experience any symptoms, and as symptomatic or pre-symptomatic if the experienced a fever (>100.4°F) before or following a positive SARS-CoV-2 test, respectively. All-cause 30-day mortality was assessed as was the influence of a lower temperature threshold (>99.0°F) on classification of residents with positive SARS-CoV-2 tests. RESULTS: From March 2020 through November 2020, VA CLCs tested 11,908 residents for SARS-CoV-2 using RT-PCR, with a positivity of rate of 13% (1557). Among residents with positive tests and using >100.4°F, 321 (21%) were symptomatic, 425 (27%) were pre-symptomatic, and 811 (52%) were asymptomatic. All-cause 30-day mortality among residents with symptomatic and pre-symptomatic COVID-19 infections was 24% and 26%, respectively, while those with an asymptomatic infection had mortality rates similar to residents with negative SAR-CoV-2 tests (10% and 5%, respectively). Using >99.0°F would have increased the number of residents categorized as symptomatic at the time of testing from 321 to 773. CONCLUSIONS: All-cause 30-day mortality was similar among VA CLC residents with symptomatic or pre-symptomatic COVID-19 infection, and lower than rates reported in non-VA nursing homes. A lower temperature threshold would increase the number of residents recognized as having symptomatic infection, potentially leading to earlier detection and more rapid implementation of therapeutic interventions and infection prevention and control measures.

Risk Factors and Mortality Rates Associated With Invasive Group B Streptococcus Infections Among Patients in the US Veterans Health Administration.

Importance: The incidence of invasive infections caused by group B Streptococcus (GBS) continues to increase in the United States. Although diabetes is a key risk factor for invasive GBS, the influence of long-term glycemic control is not well characterized; other risk factors and mortality rates associated with specific types of invasive GBS infections are unknown. Objective: To investigate risk factors and mortality rates associated with specific invasive GBS infectious syndromes. Design, Setting, and Participants: This cohort study used US Veterans Health Administration data to assess active users of the Veterans Affairs health care system between January 1, 2008, and December 31, 2017. Data analysis was conducted from April 2018 to August 2019. Exposures: Invasive GBS infections. Main Outcomes and Measures: The specific types of infectious syndromes and comorbid conditions among patients with an invasive GBS infection were evaluated. Results: Between 2008 and 2017, 5175 patients in the Veterans Affairs health care system experienced 5497 invasive GBS infections (5027 [97.1%] men, 3737 [72.2%] white, and 4545 [87.8%] non-Latino); all-cause 30-day mortality was 8.7% (451 of 5175). The most frequently observed infections were osteomyelitis (1171 [21.3%]), bacteremia without focus (1009 [18.4%]), skin or soft-tissue infections (919 [16.7%]), and pneumonia or empyema (694 [12.6%]). All-cause 30-day mortality following the index infection for each patient was highest among patients with peritonitis (38 of 138 [27.5%]) and pneumonia or empyema (116 of 664 [17.5%]) and lowest among those with osteomyelitis (15 of 1075 [1.4%]) or joint infection (17 of 501 [3.4%]). The most common comorbid conditions among patients with invasive GBS infections were diabetes (3364 [65.0%]), obesity (2669 [51.6%]), and chronic heart conditions (1633 [31.6%]). From 2008 to 2017, the incidence of invasive GBS infections increased from 9.23 to 11.67 cases per 100 000 person-years (P = .049). Stratification by body mass index showed the highest incidence of infections among patients at the extremes of body mass index (body mass index <18.5, 25.1 cases per 100 000 person-years; body mass index ≥40, 31.0 cases per 100 000 person-years). The incidence among patients with diabetes and poor long-term glycemic control (ie, hemoglobin A1c ≥9.5%) was 4-fold greater than among patients with diabetes and good glycemic control (ie, hemoglobin A1c <7.5%) (78.3 cases vs 19.0 cases per 100 000 person-years; unadjusted incident rate ratio, 4.1; 95% CI, 3.7-4.4; P < .001). Conclusions and Relevance: In this cohort study, comorbid conditions and 30-day mortality varied among types of invasive GBS infections. Obesity and poor long-term glycemic control were associated with invasive GBS infections. Efforts to reverse the trend of an increased incidence of invasive GBS infections should continue to support reducing obesity and focus on improving glycemic control.

Haplotype Inference.

Haplotypes, as they specify linkage patterns between individual nucleotide variants, confer critical information for understanding the genetics of human diseases. However, haplotype information is not directly obtainable from high-throughput genotyping platforms. In this chapter, we introduce four representative methods to reconstruct haplotypes from unphased genotype data, two of them are for unrelated individuals and the other two are for families.