Epidemiology of the 2022 Mpox Outbreak in the US Veterans Health Administration.

BACKGROUND: In May 2022, mpox cases were reported in nonendemic countries, including the United States. We examined mpox infections in the Veterans Health Administration (VHA). METHODS: Mpox diagnostic and whole genome sequencing (WGS) results, demographics, risk factors, hospitalizations, exposures, deaths, and pharmacy and immunization data were obtained from VHA data sources (23 May 2022-31 May 2023). RESULTS: Of 1144 Veterans tested, 251 (21.9%) were presumptive positive for nonvariola orthopoxvirus (NVO) or confirmed positive for NVO and Monkeypox virus (MPXV). Incidence rate was 7.5 per 100 000 Veterans in care, with the highest rate observed in Veterans aged 25-34 years (13.83 cases per 100 000). Higher odds of NVO or NVO/MPXV positivity was associated with male sex; non-Hispanic Black race/ethnicity; syphilis or human immunodeficiency virus (HIV) positivity; or genital/rectal sample site, whereas older age and vaccination with JYNNEOS or vaccinia (smallpox) had lower odds. Among 209 with confirmatory testing, 90.4% reported intimate contact and/or an epidemiological link, 84.5% were men who have sex with men (MSM), 24.2% received tecovirimat, and 8.1% were hospitalized with 1 death. Eighty-six sequenced samples had evaluable WGS results. All were clade IIb, representing 10 different lineages from 20 states and the District of Columbia. CONCLUSIONS: Mpox affected younger, MSM, non-Hispanic Black, and HIV/syphilis-positive men among US Veterans. Viral diversity was noted across geographic regions. At-risk Veterans would benefit from vaccination and risk reduction strategies for mpox and other sexually transmitted infections.

Trends in Follow-up Testing Among Patients Positive for Chlamydia and Gonorrhea in the Veterans Health Administration, 2013 to 2019.

BACKGROUND: The Centers for Disease Control and Prevention (CDC) recommends testing patients with chlamydia (CT)/gonorrhea (GC) for other sexually transmitted infections (STIs) and repeating CT/GC testing 3 to 12 months later. We assessed repeat CT/GC testing and testing for HIV/syphilis in accordance with CDC guidelines in the US Veterans Health Administration. METHODS: Molecular laboratory testing for CT/GC during January 1, 2013-December 31, 2020 was retrieved from Veterans Health Administration data sources. Patients were evaluated for syphilis, HIV, and repeat CT/GC testing within 1 year after a positive CT/GC test result. Differences of CT/GC-positive patients associated with receiving recommended testing were assessed using χ2 /Fisher exact tests. RESULTS: A total of 41,630 of 1,005,761 CT (4.1%) and 17,649 of 1,013,198 GC (1.7%) results were positive. Median ages of positive CT/GC patients were 29 and 36 years, respectively. Repeat testing rates for CT/GC within 90 to 119 days were 3.9% and 2.9%, and rates within 90 to 365 days were 32.8% and 34.7%, with 8.6% and 15% being positive again, respectively. Guideline-compatible repeat testing in known HIV-positive patients nearly doubled (75.7% for CT and 67.8% for GC). The CDC-recommended HIV testing was performed for 72.4% and 65.5% CT and GC first positives, respectively, whereas syphilis testing was completed for 66.5% and 60.5% CT and GC, respectively. Compared with 25- to 34-year-old patients with CT or GC, those younger than 25 years had higher odds of guideline-discordant repeat testing but had lower odds of not receiving HIV/syphilis testing. CONCLUSIONS: Nearly two-thirds of patients did not receive recommended repeat testing, and nearly one-third were not tested for HIV/syphilis. Veterans Health Administration providers may benefit from additional education on CDC-recommended sexually transmitted infection guidelines and testing recommendations.

Effectiveness of Messenger RNA-based Vaccines During the Emergence of the Severe Acute Respiratory Syndrome Coronavirus 2 Omicron Variant.

BACKGROUND: We evaluated the effectiveness of mRNA-based vaccines following emergence of SARS-CoV-2 Omicron variant. METHODS: Recipients of a third dose of BNT162b2 or mRNA-1273 ≥180 days after the primary series were matched to primary-series recipients and unvaccinated persons. Participants were followed from 1 December 2021 to 12 March 2022. Outcomes were documented SARS-CoV-2 infection, COVID-19 hospitalization, and COVID-19 death. Effectiveness was calculated from 100-day risks estimated with the Kaplan-Meier estimator. RESULTS: BNT162b2 and mRNA-1273 groups included 221 267 and 187 507 third-dose recipients, respectively, matched to equal numbers of primary-series recipients and unvaccinated persons. Compared with no vaccination, effectiveness of a third dose of BNT162b2 was 47.8% (95% confidence interval [CI], 45.2-50.3), 81.8% (95% CI, 79.2-84.2), and 89.6% (95% CI, 85.0-93.6) against infection, hospitalization, and death, respectively. Effectiveness of a third dose of BNT162b2 compared with the primary series was 30.1% (95% CI, 26.2-33.7), 61.4% (95% CI, 55.0-67.1), and 78.8% (95% CI, 67.9-87.5) against infection, hospitalization, and death, respectively. Effectiveness of a third dose of mRNA-1273 compared with no vaccination was 61.9% (95% CI, 59.4-64.4), 87.9% (95% CI, 85.3-90.2), and 91.4% (95% CI, 86.4-95.6) against infection, hospitalization, and death, respectively. Effectiveness of a third dose of mRNA-1273 compared with the primary series was 37.1% (95% CI, 32.2-41.7), 63.5% (95% CI, 53.7-71.6), and 75.0% (95% CI, 55.4-88.0) against infection, hospitalization, and death, respectively. CONCLUSIONS: BNT162b2 and mRNA-1273 were effective against COVID-19 following emergence of Omicron variant. A third dose provided additional protection over the primary series.

Exposure Sources Among Veterans With Elevated Blood Lead Levels, United States, 2015‒2021.

Objectives. To determine characteristics and sources of exposure in veterans with elevated blood lead levels (BLLs). Methods. We included users of US Veterans Health Administration care aged 18 years or older tested for BLL from October 2015 to September 2021. Prevalence of BLL 10 micrograms per deciliter (µg/dL) or higher and 25 µg/dL or higher was determined within demographic groups. Logistic regression analysis measured association of International Classification of Diseases, Tenth Revision, Clinical Modification‒coded conditions with elevated BLL. Electronic notes were reviewed for exposure sources. Results. Among 1007 unique veterans with BLL 10 µg/dL or higher, prevalence of BLL 10 µg/dL or higher and 25 µg/dL or higher peaked at 4.9 and 1.3 per 100 000 veterans, respectively (fiscal year 2019), and was highest in non-Hispanic White men and those aged 25 to 34 years. Conditions predicted by elevated BLL were attention-deficit/hyperactivity disorder (ADHD) and nausea or vomiting. Firearms represented 70.1% of occupational and 85.9% of nonoccupational exposures. Toxicology consults occurred in 17 of 298 (6%) with BLL 25 µg/dL or higher. Conclusions. Firearms were the largest exposure source among veterans with elevated BLL. Clinicians should be alert for potential conditions (including ADHD and nausea or vomiting in our study) associated with lead exposure. Standardization of care regarding toxicology referral practices is warranted. (Am J Public Health. 2022;112(S7):S670-S678. https://doi.org/10.2105/AJPH.2022.306936).

Public health surveillance in the U.S. Department of Veterans Affairs: evaluation of the Praedico surveillance system.

BACKGROUND: Early threat detection and situational awareness are vital to achieving a comprehensive and accurate view of health-related events for federal, state, and local health agencies. Key to this are public health and syndromic surveillance systems that can analyze large data sets to discover patterns, trends, and correlations of public health significance. In 2020, Department of Veterans Affairs (VA) evaluated its public health surveillance system and identified areas for improvement. METHODS: Using the Centers for Disease Control and Prevention (CDC) Guidelines for Evaluating Public Health Surveillance Systems, we assessed the ability of the Praedico Surveillance System to perform public health surveillance for a variety of health issues and evaluated its performance compared to an enterprise data solution (VA Corporate Data Warehouse), legacy surveillance system (VA ESSENCE) and a national, collaborative syndromic surveillance platform (CDC NSSP BioSense). RESULTS: Review of system attributes found that the system was simple, flexible, and stable. Representativeness, timeliness, sensitivity, and Predictive Value Positive were acceptable but could be further improved. Data quality issues and acceptability present challenges that potentially affect the overall usefulness of the system. CONCLUSIONS: Praedico is a customizable surveillance and data analytics platform built on big data technologies. Functionality is straightforward, with rapid query generation and runtimes. Data can be graphed, mapped, analyzed, and shared with key decision makers and stakeholders. Evaluation findings suggest that future development and system enhancements should focus on addressing Praedico data quality issues and improving user acceptability. Because Praedico is designed to handle big data queries and work with data from a variety of sources, it could be enlisted as a tool for interdepartmental and interagency collaboration and public health data sharing. We suggest that future system evaluations include measurements of value and effectiveness along with additional organizations and functional assessments.

Risk for In-Hospital Complications Associated with COVID-19 and Influenza - Veterans Health Administration, United States, October 1, 2018-May 31, 2020.

Coronavirus disease 2019 (COVID-19) is primarily a respiratory illness, although increasing evidence indicates that infection with SARS-CoV-2, the virus that causes COVID-19, can affect multiple organ systems (1). Data that examine all in-hospital complications of COVID-19 and that compare these complications with those associated with other viral respiratory pathogens, such as influenza, are lacking. To assess complications of COVID-19 and influenza, electronic health records (EHRs) from 3,948 hospitalized patients with COVID-19 (March 1-May 31, 2020) and 5,453 hospitalized patients with influenza (October 1, 2018-February 1, 2020) from the national Veterans Health Administration (VHA), the largest integrated health care system in the United States,* were analyzed. Using International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes, complications in patients with laboratory-confirmed COVID-19 were compared with those in patients with influenza. Risk ratios were calculated and adjusted for age, sex, race/ethnicity, and underlying medical conditions; proportions of complications were stratified among patients with COVID-19 by race/ethnicity. Patients with COVID-19 had almost 19 times the risk for acute respiratory distress syndrome (ARDS) than did patients with influenza, (adjusted risk ratio [aRR] = 18.60; 95% confidence interval [CI] = 12.40-28.00), and more than twice the risk for myocarditis (2.56; 1.17-5.59), deep vein thrombosis (2.81; 2.04-3.87), pulmonary embolism (2.10; 1.53-2.89), intracranial hemorrhage (2.85; 1.35-6.03), acute hepatitis/liver failure (3.13; 1.92-5.10), bacteremia (2.46; 1.91-3.18), and pressure ulcers (2.65; 2.14-3.27). The risks for exacerbations of asthma (0.27; 0.16-0.44) and chronic obstructive pulmonary disease (COPD) (0.37; 0.32-0.42) were lower among patients with COVID-19 than among those with influenza. The percentage of COVID-19 patients who died while hospitalized (21.0%) was more than five times that of influenza patients (3.8%), and the duration of hospitalization was almost three times longer for COVID-19 patients. Among patients with COVID-19, the risk for respiratory, neurologic, and renal complications, and sepsis was higher among non-Hispanic Black or African American (Black) patients, patients of other races, and Hispanic or Latino (Hispanic) patients compared with those in non-Hispanic White (White) patients, even after adjusting for age and underlying medical conditions. These findings highlight the higher risk for most complications associated with COVID-19 compared with influenza and might aid clinicians and researchers in recognizing, monitoring, and managing the spectrum of COVID-19 manifestations. The higher risk for certain complications among racial and ethnic minority patients provides further evidence that certain racial and ethnic minority groups are disproportionally affected by COVID-19 and that this disparity is not solely accounted for by age and underlying medical conditions.

Carbon monoxide poisoning surveillance in the Veterans Health Administration, 2010-2017.

BACKGROUND: Exposure to carbon monoxide (CO), the odorless, colorless gas resulting from incomplete combustion of hydrocarbons, is preventable. Despite the significant risk of morbidity and mortality associated with CO poisoning, there currently exists no active national CO surveillance system in the United States (U.S.). Our study aims to use electronic health record data to describe the epidemiology of CO poisoning in the Veterans Health Administration healthcare population. METHODS: We identified unique inpatient and outpatient encounters coded with International Classification of Diseases (ICD) codes for CO poisoning and analyzed relevant demographic, laboratory, treatment, and death data from January 2010 through December 2017 for Veterans across all 50 U.S. states and Puerto Rico. Statistical methods used were 95% CI calculations and the two-tailed z test for proportions. RESULTS: We identified 5491 unique patients with CO poisoning, of which 1755 (32%) were confirmed/probable and 3736 (68%) were suspected. Unintentional poisoning was most common (72.9%) overall. Age less than 65 years, residence in Midwest U.S. Census region versus South or West, and winter seasonal trend were characteristics associated with confirmed/probable CO poisoning. Twenty-six deaths (1.5%) occurred within 30 days of confirmed/probable CO poisoning and were primarily caused by cardiovascular events (42%) or anoxic encephalopathy (15%). CONCLUSIONS: Our findings support the use of ICD-coded data for targeted CO poisoning surveillance, however, improvements are needed in ICD coding to reduce the percentage of cases coded with unknown injury intent and/or CO poisoning source. Prevalence of CO poisoning among Veterans is consistent with other U.S. estimates. Since most cases are unintentional, opportunities exist for provider and patient education to reduce risk.

Clinically Defined Lymphogranuloma Venereum among US Veterans with Human Immunodeficiency Virus, 2016-2023.

We applied lymphogranuloma venereum (LGV) clinical case criteria to a cohort of 1381 Veterans positive for HIV and Chlamydia trachomatis (CT) from 2016 from 2023 and analyzed variables to ascertain risk factors for LGV and factors associated with the use of standard treatment regimens. In total, 284/1381 (20.6%) met the criteria for LGV. A total of 179/284 (63%) were probable cases, and 105/284 (37%) were possible cases (those meeting clinical criteria but with concurrent sexually transmitted infections (STI) associated with LGV-like symptoms). None had confirmatory CT L1-L3 testing. A total of 230 LGV cases (81%) presented with proctitis, 71 (25%) with ulcers, and 57 (20.1%) with lymphadenopathy. In total, 66 (23.2%) patients had >1 symptom of LGV. A total of 43 (15%) LGV cases were hospitalized. Primary risk factors for LGV were male birth sex (p = 0.004), men who have sex with men (p < 0.001), and the presence of STIs other than gonorrhea or syphilis (p = 0.011). In total, 124/284 (43.7%) LGV cases received standard recommended treatment regimens. Probable cases were more likely to receive standard treatment than possible cases (p = 0.003). We report that 20.6% of CT cases met clinical criteria for LGV among HIV-infected Veterans and that less than half of cases received recommended treatment regimens, indicating that LGV is likely underestimated and inadequately treated among this US population.

Epidemiology of Coccidioidomycosis in the Veterans Health Administration, 2013-2022.

We describe the epidemiology of coccidioidomycosis among a national cohort of Veterans. Using electronic health record data from adults tested for coccidioidomycosis between 1 January 2013 and 31 December 2022, we analyzed differences in baseline demographics (age, sex, race/ethnicity, birth country, comorbidities, residence, and Charlson Comorbidity Index score) between 4204 coccidioidomycosis-test-positive and 63,322 test-negative Veterans. Log-binomial regression models with adjusted risk ratios (aRRs) were used to evaluate risk factors associated with coccidioidomycosis including dissemination, hospitalization, and mortality. Case counts and incidence rates were highest in select counties in Arizona and California where Coccidioides is endemic. Coccidioidomycosis-positive Veterans were younger, more likely to be male, and Philippine-born. The risk factors most highly associated with being coccidioidomycosis-positive included Native Hawaiian/Pacific Islander (aRR 1.068 [95%CI: 1.039-1.098]), Asian (aRR 1.060 [95%CI: 1.037-1.083]), Black (aRR 1.029 [95%CI: 1.022-1.036]), American Indian/Alaska Native (aRR 1.026 [95%CI: 1.004-1.048]) race, and Hispanic/Latino ethnicity (aRR 1.021 [95%CI: 1.013-1.028]). Black race (aRR: 1.058 [95%CI: 1.037-1.081]) and Hispanic/Latino ethnicity (aRR 1.018 [95%CI: 1.0003-1.036]) were also associated with disseminated coccidioidomycosis, strengthening the evidence for the association of coccidioidomycosis, including severe infections, with specific racial and ethnic groups. There were no statistically significant differences in hospitalization within 45 days of testing or 30-day all-cause mortality. Improving our understanding of coccidioidomycosis risk factors is important for targeted prevention strategies and to reduce delays in diagnosis and ineffective treatment.

Implementation of large-scale laboratory-based detection of COVID-19 in the Veterans Health Administration, March 2020 - February 2021.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) presented numerous operational challenges to healthcare delivery networks responsible for implementing large scale detection of Coronavirus Disease 2019 (COVID-19), the infection caused by SARS-CoV-2. We describe testing performance, review data quality metrics, and summarize experiences during the scale up of laboratory-based detection of COVID-19 in the Veterans Health Administration, the largest healthcare system in the United States. During March 2020 to February 2021, we observed rapid increase in testing volume, decreases in test turnaround time, improvements in testing of hospitalized persons, changes in test positivity, and varying utilization of different tests. Though performance metrics improved over time, surges challenged testing capacity and data quality remained suboptimal. Future planning efforts should focus on fortifying supply chains for consumables and equipment repair, optimizing distribution of testing workload across laboratories, and improving informatics to accurately monitor operations and intent for testing during a public health emergency.

Enhanced health event detection and influenza surveillance using a joint Veterans Affairs and Department of Defense biosurveillance application.

BACKGROUND: The establishment of robust biosurveillance capabilities is an important component of the U.S. strategy for identifying disease outbreaks, environmental exposures and bioterrorism events. Currently, U.S. Departments of Defense (DoD) and Veterans Affairs (VA) perform biosurveillance independently. This article describes a joint VA/DoD biosurveillance project at North Chicago-VA Medical Center (NC-VAMC). The Naval Health Clinics-Great Lakes facility physically merged with NC-VAMC beginning in 2006 with the full merger completed in October 2010 at which time all DoD care and medical personnel had relocated to the expanded and remodeled NC-VAMC campus and the combined facility was renamed the Lovell Federal Health Care Center (FHCC). The goal of this study was to evaluate disease surveillance using a biosurveillance application which combined data from both populations. METHODS: A retrospective analysis of NC-VAMC/Lovell FHCC and other Chicago-area VAMC data was performed using the ESSENCE biosurveillance system, including one infectious disease outbreak (Salmonella/Taste of Chicago-July 2007) and one weather event (Heat Wave-July 2006). Influenza-like-illness (ILI) data from these same facilities was compared with CDC/Illinois Sentinel Provider and Cook County ESSENCE data for 2007-2008. RESULTS: Following consolidation of VA and DoD facilities in North Chicago, median number of visits more than doubled, median patient age dropped and proportion of females rose significantly in comparison with the pre-merger NC-VAMC facility. A high-level gastrointestinal alert was detected in July 2007, but only low-level alerts at other Chicago-area VAMCs. Heat-injury alerts were triggered for the merged facility in June 2006, but not at the other facilities. There was also limited evidence in these events that surveillance of the combined population provided utility above and beyond the VA-only and DoD-only components. Recorded ILI activity for NC-VAMC/Lovell FHCC was more pronounced in the DoD component, likely due to pediatric data in this population. NC-VAMC/Lovell FHCC had two weeks of ILI activity exceeding both the Illinois State and East North Central Regional baselines, whereas Hines VAMC had one and Jesse Brown VAMC had zero. CONCLUSIONS: Biosurveillance in a joint VA/DoD facility showed potential utility as a tool to improve surveillance and situational awareness in an area with Veteran, active duty and beneficiary populations. Based in part on the results of this pilot demonstration, both agencies have agreed to support the creation of a combined VA/DoD ESSENCE biosurveillance system which is now under development.

Respiratory co-infections with COVID-19 in the Veterans Health Administration, 2020.

Reporting of Coronavirus disease 2019 (COVID-19) co-infections with other respiratory pathogens has varied. We evaluated 825,280 molecular and/or viral culture respiratory assays within the Veterans Health Administration from September 29, 2019 to May 31, 2020. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was detected in 10,222 of 174,746 (5.8%) individuals. 30,063 (17.2%) of 174,746 individuals tested for SARS-CoV-2 had additional respiratory pathogen testing; co-infection was identified in 56 of 3757 (1.5%) individuals positive for SARS-CoV-2. Among those negative for SARS-CoV-2, 1022 of 26,306 (3.9%) were positive for at least 1 respiratory pathogen. Compared to COVID-19 mono-infection, individuals with COVID-19 co-infection had lower odds of being female. Compared to non-COVID-19 respiratory pathogen infection, individuals with COVID-19 co-infection had lower odds of being female, were hospitalized more frequently, had higher odds of death, and were younger at death. Our findings suggest COVID-19 co-infections were rare; however, not all COVID-19 patients were concurrently tested for other respiratory pathogens and seasonal decreases in other respiratory pathogens were occurring as COVID-19 emerged.

COVID-19 Infections Among Healthcare Personnel in the United States Veterans Health Administration, March to August, 2020.

OBJECTIVE: We investigated COVID-19 infection and death among healthcare personnel (HCP) in the United States Veterans Health Administration. METHODS: HCP with positive Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) reverse transcription polymerase chain reaction tests between March 1 and August 31, 2020 were included. Risk ratios were calculated for sex, age, race/ethnicity, Veteran status, occupation category, facility of employment by inpatient COVID-19 test percent positivity and death. RESULTS: Five thousand nine hundred twenty five HCP were COVID-19-infected out of 131,606 tested (4.5% positivity). Highest risk for COVID-19 infection included: HCP working in hospitals with more than 15% inpatient COVID-19 test positivity, nursing staff, non-Hispanic Black, and Hispanic or Latino HCP and HCP who were Veterans. Among 18 HCP who died after COVID-19 infection, male sex, age more than or equal to 65 years, and Veteran status were significant risk factors. CONCLUSIONS: Robust national surveillance testing methods are needed to accurately monitor HCP COVID-19 infections and deaths to improve HCP safety.

Clusters of nontuberculous mycobacteria linked to water sources at three Veterans Affairs medical centers.

OBJECTIVE: To characterize nontuberculous mycobacteria (NTM) associated with case clusters at 3 medical facilities. DESIGN: Retrospective cohort study using molecular typing of patient and water isolates. SETTING: Veterans Affairs Medical Centers (VAMCs). METHODS: Isolation and identification of NTM from clinical and water samples using culture, MALDI-TOF, and gene population sequencing to determine species and genetic relatedness. Clinical data were abstracted from electronic health records. RESULTS: An identical strain of Mycobacterium conceptionense was isolated from 41 patients at VA Medical Centers (VAMCs A, B, and D), and from VAMC A's ICU ice machine. Isolates were initially identified as other NTM species within the M. fortuitum clade. Sequencing analyses revealed that they were identical M. conceptionense strains. Overall, 7 patients (17%) met the criteria for pulmonary or nonpulmonary infection with NTM, and 13 of 41 (32%) were treated with effective antimicrobials regardless of infection or colonization status. Separately, a M. mucogenicum patient strain from VAMC A matched a strain isolated from a VAMC B ICU ice machine. VAMC C, in a different state, had a 4-patient cluster with Mycobacterium porcinum. Strains were identical to those isolated from sink-water samples at this facility. CONCLUSION: NTM from hospital water systems are found in hospitalized patients, often during workup for other infections, making attribution of NTM infection problematic. Variable NTM identification methods and changing taxonomy create challenges for epidemiologic investigation and linkage to environmental sources.

Epidemiology and burden of influenza in the U.S. Department of Veterans Affairs.

We describe influenza activity in the US Veterans Affairs (VA) population for the 2010-2011 through 2015-2016 seasons and compare with national CDC FluView data. VA confirmed influenza cases ranged from 1005 to 11 506 per season; triage calls from 6090 to 10 346; outpatient visits from 3849 to 13 406; antiviral prescriptions from 3650 to 32 826; hospitalizations from 546 to 4673; and deaths in hospitalized patients from 17 to 139. Peak activity was generally the same as observed nationally by the CDC. For the seasons analyzed, correlation between VA and CDC %ILI visits (r = .863), influenza hospitalizations (r = .953), positive tests (r = .948), and percent of tests positive (r = .938) was strong. Understanding influenza burden is important for evaluating prevention priorities and resource allocation within VA.

Zika virus infection in the Veterans Health Administration (VHA), 2015-2016.

BACKGROUND: Zika virus (ZIKV) is an important flavivirus infection. Although ZIKV infection is rarely fatal, risk for severe disease in adults is not well described. Our objective was to describe the spectrum of illness in U.S. Veterans with ZIKV infection. METHODOLOGY: Case series study including patients with laboratory-confirmed or presumed positive ZIKV infection in all Veterans Health Administration (VHA) medical centers. Adjusted odds ratios of clinical variables associated with hospitalization and neurologic complications was performed. PRINCIPAL FINDINGS: Of 1,538 patients tested between 12/2015-10/2016 and observed through 3/2017, 736 (48%) were RT-PCR or confirmed IgM positive; 655 (89%) were male, and 683 (93%) from VA Caribbean Healthcare System (VACHCS). Ninety-four (13%) were hospitalized, 91 (12%) in the VACHCS. Nineteen (3%) died after ZIKV infection. Hospitalization was associated with increased Charlson co-morbidity index (adjusted odds ratio [OR] 1.2; 95% confidence interval [CI], 1.1-1.3), underlying connective tissue disease (OR, 29.5; CI, 3.6-244.7), congestive heart failure (OR, 6; CI, 2-18.5), dementia (OR, 3.6; CI, 1.1-11.2), neurologic symptom presentation (OR, 3.9; CI, 1.7-9.2), leukocytosis (OR, 11.8; CI, 4.5-31), thrombocytopenia (OR, 7.8; CI, 3.3-18.6), acute kidney injury (OR, 28.9; CI, 5.8-145.1), or using glucocorticoids within 30 days of testing (OR, 13.3; CI 1.3-133). Patients presenting with rash were less likely to be hospitalized (OR, 0.29; CI, 0.13-0.66). Risk for neurologic complications increased with hospitalization (OR, 5.9; CI 2.9-12.2), cerebrovascular disease (OR 4.9; CI 1.7-14.4), and dementia (OR 2.8; CI 1.2-6.6). CONCLUSION: Older Veterans with multiple comorbidities or presenting with neurologic symptoms were at increased risk for hospitalization and neurological complications after ZIKV infection.

Role of environmental surveillance in determining the risk of hospital-acquired legionellosis: a national surveillance study with clinical correlations.

OBJECTIVE: Hospital-acquired Legionella pneumonia has a fatality rate of 28%, and the source is the water distribution system. Two prevention strategies have been advocated. One approach to prevention is clinical surveillance for disease without routine environmental monitoring. Another approach recommends environmental monitoring even in the absence of known cases of Legionella pneumonia. We determined the Legionella colonization status of water systems in hospitals to establish whether the results of environmental surveillance correlated with discovery of disease. None of these hospitals had previously experienced endemic hospital-acquired Legionella pneumonia. DESIGN: Cohort study. SETTING: Twenty US hospitals in 13 states. INTERVENTIONS: Hospitals performed clinical and environmental surveillance for Legionella from 2000 through 2002. All specimens were shipped to the Special Pathogens Laboratory at the Veterans Affairs Pittsburgh Medical Center. RESULTS: Legionella pneumophila and Legionella anisa were isolated from 14 (70%) of 20 hospital water systems. Of 676 environmental samples, 198 (29%) were positive for Legionella species. High-level colonization of the water system (30% or more of the distal outlets were positive for L. pneumophila) was demonstrated for 6 (43%) of the 14 hospitals with positive findings. L. pneumophila serogroup 1 was detected in 5 of these 6 hospitals, whereas 1 hospital was colonized with L. pneumophila serogroup 5. A total of 633 patients were evaluated for Legionella pneumonia from 12 (60%) of the 20 hospitals: 377 by urinary antigen testing and 577 by sputum culture. Hospital-acquired Legionella pneumonia was identified in 4 hospitals, all of which were hospitals with L. pneumophila serogroup 1 found in 30% or more of the distal outlets. No cases of disease due to other serogroups or species (L. anisa) were identified. CONCLUSION: Environmental monitoring followed by clinical surveillance was successful in uncovering previously unrecognized cases of hospital-acquired Legionella pneumonia.

Epidemiologic Review of Veterans Health Administration Patients with Isolation of Nontuberculous Mycobacteria after Cardiopulmonary Bypass Procedures.

We evaluated the isolation of postoperative nontuberculous mycobacteria (NTM) associated with heater-cooler devices (HCDs) used during cardiopulmonary bypass (CPB) surgery in the Veterans Health Administration from January 1, 2010, to December 31, 2016. In more than 38,000 CPB procedures, NTM was isolated in 111 patients; 1 Mycobacterium chimaera mediastinitis case and 1 respiratory isolate were found. Infect Control Hosp Epidemiol 2017;38:1103-1106.

Enhanced Influenza Surveillance Using Telephone Triage and Electronic Syndromic Surveillance in the Department of Veterans Affairs, 2011-2015.

Telephone triage (TT) is a method whereby medical professionals speak by telephone to patients to assess their symptoms or health concerns and offer advice. These services are often administered through an electronic TT system, which guides TT professionals during the encounter through the use of structured protocols and algorithms to help determine the severity of the patients' health issue and refer them to appropriate care. TT is also an emerging data source for public health surveillance of infectious and noninfectious diseases, including influenza. We calculated Spearman correlation coefficients to compare the weekly number of US Department of Veterans Affairs (VA) TT calls with other conventional influenza measures for the 2011-2012 through 2014-2015 influenza seasons, for which there were a total of 35 666 influenza-coded TT encounters. Influenza-coded calls were strongly correlated with weekly VA influenza-coded hospitalizations (0.85), emergency department visits (0.90), influenza-like illness outpatient visits (0.92), influenza tests performed (0.86), positive influenza tests (0.82), and influenza antiviral prescriptions (0.89). The correlation between VA-TT and Centers for Disease Control and Prevention (CDC) national data for weekly influenza hospitalizations, influenza tests performed, and positive influenza tests was also strong. TT correlates well with VA health care use and CDC data and is a timely data source for monitoring influenza activity.