Supporting the nation in crisis: the military health system's role in enhancing public health capacity through public-private partnerships.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic caused significant global disruptions to the healthcare system, which was forced to make rapid changes in healthcare delivery. The pandemic necessitated closer collaboration between the US civilian healthcare sector and the military health system (MHS), resulting in new and strengthened partnerships that can ultimately benefit public health and healthcare for the nation. In this study, we sought to understand the full range of partnerships in which the MHS engaged with the civilian sector during the COVID-19 pandemic and to elicit lessons for the future. METHODS: We conducted key informant interviews with MHS policymakers and advisers, program managers and providers who were affiliated with the MHS from March 2020 through December 2022. Key themes were derived using thematic analysis and open coding methods. RESULTS: We conducted 28 interviews between December 2022 and March 2023. During the pandemic, the MHS collaborated with federal and local healthcare authorities and private sector entities through endeavours such as Operation Warp Speed. Lessons and recommendations for future pandemics were also identified, including investment in biosurveillance systems and integration of behavioural and social sciences. CONCLUSIONS: The MHS rapidly established and fostered key partnerships with the public and private sectors during the COVID-19 pandemic. The pandemic experience showed that while the MHS is a useful resource for the nation, it also benefits from partnering with a variety of organizations, agencies and private companies. Continuing to develop these partnerships will be crucial for coordinated, effective responses to future pandemics.

The response of the Military Health System (MHS) to the COVID-19 pandemic: a summary of findings from MHS reviews.

INTRODUCTION: The coronavirus disease 2019 (COVID-19) pandemic caused major disruptions to the US Military Health System (MHS). In this study, we evaluated the MHS response to the pandemic to understand the impact of the pandemic response in a large, national, integrated healthcare system providing care for ~ 9 million beneficiaries. METHODS: We performed a narrative literature review of 16 internal Department of Defense (DoD) reports, including reviews mandated by the US Congress in response to the pandemic. We categorized the findings using the Doctrine, Organization, Training, Materiel, Leadership, Personnel, Facilities, and Policy (DOTMLPF-P) framework developed by the DoD to assess system efficiency and effectiveness. RESULTS: The majority of the findings were in the policy, organization, and personnel categories. Key findings showed that the MHS structure to address surge situations was beneficial during the pandemic response, and the rapid growth of telehealth created the potential impact for improved access to routine and specialized care. However, organizational transition contributed to miscommunication and uneven implementation of policies; disruptions affected clinical training, upskilling, and the supply chain; and staffing shortages contributed to burnout among healthcare workers. CONCLUSION: Given its highly integrated, vertical structure, the MHS was in a better position than many civilian healthcare networks to respond efficiently to the pandemic. However, similar to the US civilian sector, the MHS also experienced delays in care, staffing and materiel challenges, and a rapid switch to telehealth. Lessons regarding the importance of communication and preparation for future public health emergency responses are relevant to civilian healthcare systems responding to COVID-19 and other similar public health crises.

Reductions in sustained prescription opioid use within the US between 2017 and 2021.

Over the last decade, various efforts have been made to curtail the opioid crisis. The impact of these efforts, since the onset of the COVID-19 pandemic, has not been well characterized. We sought to develop national estimates of the prevalence of sustained prescription opioid use for a time period spanning the COVID-19 pandemic (2017-2021). We used TRICARE claims data (fiscal year 2017-2021) to identify patients who were prescription opioid non-users prior to receipt of a new opioid medication. We evaluated eligible patients for subsequent sustained prescription opioid use. The prevalence of sustained prescription opioid use during 2020-2021 was compared to 2017-2019. We performed multivariable logistic regression analyses to adjust for confounding. We performed secondary analyses that accounted for interactions between the time period and age, as well as a proxy for socioeconomic status. We determined there was a 68% reduction in the odds of sustained prescription opioid use (OR 0.32; 95% CI 0.27, 0.38; p < 0.001) in 2020-2021 as compared to 2017-2019. Significant reductions were identified across all US census divisions and all patient age groups. In both time periods, the plurality of encounters associated with initial receipt of an opioid that culminated in sustained prescription opioid use were associated with non-specific primary diagnoses. We found significant reductions in sustained prescription opioid use in 2020-2021 as compared to 2017-2019. The persistence of prescribing behaviors that result in issue of opioids for poorly characterized conditions remains an area of concern.

Filling the Gaps in the Pandemic Response: Impact of COVID-19 on Telehealth in the Military Health System.

Introduction: As a result of the COVID-19 pandemic, telehealth use became widespread, allowing for continued health care while minimizing COVID-19 transmission risk for patients and providers. This rapid scale-up highlighted shortcomings of the current telehealth infrastructure in many health systems. We aimed to identify and address gaps in the United States Military Health System (MHS) response to the COVID-19 pandemic related to the implementation and utilization of telehealth. Methods: We conducted semistructured key informant interviews of MHS stakeholders, including policymakers, program managers, and health care providers. We recruited respondents using purposive and snowball sampling until we reached thematic saturation. Interviews were conducted virtually from December 2022 to March 2023 and coded by deductive thematic analysis using NVivo. Results: We interviewed 28 key informants. Several themes emerged from the interviews and were categorized into four defined areas of obstacles to the effective utilization of telehealth: administrative, technical, organizational, and quality issues. While respondents had positive perceptions of telehealth, issues such as billing, licensure portability, network connectivity and technology, and ability to monitor health outcomes represent major barriers in the current system, preventing the potential for further expansion. Conclusions: While the shift to telehealth during the COVID-19 pandemic demonstrated robust potential within the MHS, it highlighted shortcomings that impair the utility and expansion of telehealth on a level comparable to that of other large health systems. Future focus should be directed toward generating and implementing actionable recommendations that target these identified challenges in the MHS.

Changes in Surgical Volume in Military Medical Treatment Facilities and Military Surgeon Clinical Combat Readiness During the COVID-19 Pandemic.

Mini-abstract In this retrospective study, we evaluated changes in measures of surgeon clinical combat readiness within the military health system during the COVID-19 pandemic. We found a 36% reduction in surgical knowledge and skills as compared to pre-COVID. Sizable reductions were encountered for surgery for colectomy (-50%) and aneurysm repair (-61%).

Trends in breast cancer screening during the COVID-19 pandemic within a universally insured health system in the United States, 2017-2022.

BACKGROUND: In the United States, breast cancer is the most commonly diagnosed cancer and second leading cause of cancer death in women. Early detection through mammogram screening is instrumental in reducing mortality and incidence of disease. The COVID-19 pandemic posed unprecedented challenges to the provision of care, including delays in preventive screenings. We examined trends in breast cancer screening during the COVID-19 pandemic in a universally insured national population and evaluated rates across racial groups and socioeconomic strata. METHODS: In this retrospective open cohort study, we used the Military Health System Data Repository to identify female TRICARE beneficiaries ages 40-64 at average risk for breast cancer between FY2018 and FY2022, broken down into prepandemic (September 1, 2018-February 28, 2020), early pandemic (March 1, 2020-September 30, 2020), and late pandemic periods (October 1, 2020-September 30, 2022). The primary outcome was receipt of breast cancer screening. RESULTS: Screening dropped 74% in the early pandemic period and 22% in the late pandemic period, compared with the prepandemic period. Compared with White women, Asian/Pacific Islander women were less likely to receive mammograms during the late pandemic period (0.92RR; 0.90-0.93 95%CI). American Indian/Alaska Native women remained less likely to receive screenings compared with White women during the early (0.87RR; 0.80-0.94 95% CI) and late pandemic (0.94RR, 0.91-0.98 95% CI). Black women had a higher likelihood of screenings during both the early pandemic (1.10RR; 1.08-1.12 95% CI) and late pandemic (1.12RR, 1.11-1.13 95% CI) periods compared with White women. During the early and late pandemic periods, disparities by rank persisted from prepandemic levels, with a decrease in likelihood of screenings across all sponsor ranks. CONCLUSION: Our results indicate the influence of race and socioeconomics on mammography screening during COVID-19. Targeted outreach and further evaluation of factors underpinning lower utilization in these populations are necessary to improve access to preventative services across the population.

Evaluating SARS-CoV-2 Saliva and Dried Blood Spot Surveillance Strategies in a Congregate Population.

The optimal approach to COVID-19 surveillance in congregate populations remains unclear. Our study at the US Naval Academy in Annapolis, Maryland, USA, assessed the concordance of antibody prevalence in longitudinally collected dried blood spots and saliva in a setting of frequent PCR-based testing. Our findings highlight the utility of salivary-based surveillance.

Disparities in the use of colorectal cancer screening in a universally insured population during the COVID-19 pandemic.

BACKGROUND: Despite the known efficacy of colorectal cancer (CRC) screening, the rates of individuals undergoing such testing have remained lower than target thresholds, even prior to the healthcare disruptions associated with the COVID-19 pandemic. We evaluated the impact of the COVID-19 pandemic on CRC screening within a nationally representative US population and assessed disparities in screening across racial/ethnic groups and socioeconomic (SES) strata. METHODS: We performed a retrospective cross-sectional study using all eligible TRICARE beneficiaries aged 45-64 years between FY 2018 and 2021. High-risk individuals, those with a previous or current CRC diagnosis, and/or a personal/family history of colonic polyps, were excluded. The pre-COVID-19 period (September 1, 2018-March 31, 2020) was compared to the COVID-19 period (April 1, 2020-September 30, 2021). Secondary analyses were performed, evaluating the interaction between the COVID-19 time period, race, and our proxy for socioeconomic status. RESULTS: During the study period, we identified 1,749,688 eligible individuals. Following the onset of the COVID-19 pandemic, CRC screening overall decreased from 34% in the pre-pandemic period to 30% following the onset of the pandemic (p < 0.001). This finding persisted even after adjusting for confounders in multivariable analysis (odds ratio [OR] for the pandemic timeframe: 0.79; 95% CI: 0.27, 0.31; p < 0.001). In the setting of SES, in the pandemic period, the odds of individuals from both Senior Enlisted (OR: 0.55; 95% CI: 0.54, 0.56) and Junior Enlisted sponsor ranks (OR: 0.27; 95% CI: 0.25, 0.30) were diminished as compared to Senior Officers. CONCLUSIONS AND RELEVANCE: We found a 21% reduction in the odds of CRC screening in the context of the COVID-19 pandemic. Reductions in colonoscopies and other types of screening tests were not offset by changes in the use of at-home tests such as Cologuard.

Influenza Vaccine Effectiveness: Analysis of the Impact of Repeated Vaccinations in Military Health System Beneficiaries.

Background: Influenza has long burdened the Military Health System (MHS). This study assesses the impact of repeated annual vaccination on influenza vaccine effectiveness (VE). Methods: This retrospective, case control study using the test-negative design utilized data extracted from the MHS Data Repository (MDR). Cases had a positive influenza test and controls sought care for an influenza-like illness within 2 weeks of a case, had no positive influenza tests, and were matched by sex, race, age, and location. Vaccine effectiveness was assessed using conditional logistic regression separately for those who received inactivated and live attenuated influenza vaccines (LAIV). Results: A total of 6860 cases and controls were identified in the MDR, among whom 53% were vaccinated in all 3 seasons. Among those who received inactivated influenza vaccine during the current season, VE ranged from 26% to 37% (2012/13 [A(H3N2)]: VE 26%, 95% confidence interval [CI] = 1%-45%; 2013/14 [A(H1N1)pdm09]: VE 37%, 95% CI = 18%-52%; 2014/15 [A(H3N2)]: VE 31%, 95% CI = 17%-42%). The VE ranged from 25% to 49% for those only vaccinated this season (2012/13 [A(H3N2)]: VE 38%, 95% CI = -3% to 63%; 2013/14 [A(H1N1)pdm09]: VE 49%, 95% CI = 11%-71%; 2014/15 [A(H3N2)]: VE 25%, 95% CI = -7% to 48%). The VE was more variable in those who received LAIV in the current season. No statistically significant differences in VE were observed between those frequently vaccinated and those vaccinated only during the current season. Conclusions: These results underscore the value of annual influenza vaccinations for preventing infection while highlighting the need for continued improvements in influenza vaccine effectiveness.

Breath Biomarkers of Influenza Infection.

Background: Volatile organic compounds (VOCs) are produced systemically due to varied physiological states such as oxidative stress and are excreted through the lungs. Benchtop and preliminary clinical data suggest that breath testing may be a useful diagnostic modality for viral respiratory tract infections. Methods: Patients with influenza-like illness (ILI) presenting to a single clinic in San Antonio, Texas, from 3/2017 to 3/2019 submitted a 2-minute breath sample in addition to a nasopharyngeal swab collected for polymerase chain reaction (PCR) assay for respiratory pathogens. VOCs were assayed with gas chromatography-mass spectrometry (GC-MS), and data were analyzed to identify breath VOC biomarkers that discriminated between ILI patients with and without a polymerase chain reaction (PCR) assay that was positive for influenza. Results: Demographic, clinical, PCR, and breath data were available for 237 episodes of ILI, among which 32 episodes (13.5%) were PCR positive for influenza. Twenty candidate VOCs identified patients with influenza with greater than random accuracy. A predictive algorithm using 4 candidate biomarkers identified this group with 78% accuracy (74% sensitivity, 70% specificity). Based on their mass spectra, most of these biomarkers were n-alkane derivatives, consistent with products of oxidative stress. Conclusions: A breath test for VOC biomarkers accurately identified ILI patients with PCR-proven influenza. These findings bolster those of others that a rapid, accurate, universal point-of-care influenza diagnostic test based on assay of exhaled-breath VOCs may be feasible. The next step will be a study of patients with ILI using a simplified method of breath collection that would facilitate translation for use in clinical practice.

Respiratory Infections Are More Common Than Healthcare Records Indicate: Results From an Anonymous Survey.

INTRODUCTION: Influenza-like illnesses (ILIs) are common in military populations and can impair mission-readiness, particularly in the current severe acute respiratory syndrome coronavirus 2 pandemic; therefore, it is important to identify potential risk factors for infection and better understand the burden of infection. MATERIALS AND METHODS: A survey was administered to military medical trainees living in a congregated setting on JBSA Fort Sam Houston, Texas, from January 2017 to February 2019. The survey included questions about ILI experience and potential ILI risk factors. RESULTS: 2,121 individuals completed the survey. Respondents had a median age of 21 years, 46% were female, 32.6% were Air Force, 33.6% were Army, and 33.8% were Navy/Marines. Among the 815 (38%) who reported an ILI during training, 40% sought health care. The primary reasons for seeking healthcare included illness severity, concern about transmission, and accessibility of healthcare. Over half (54%) of the trainees who reported an ILI said the ILI had an impact on their performance, including reduced study time, missed physical training, and missed class. Multivariate model results indicate that women and younger trainees (<30 years) were more likely to report having had an ILI (women: OR 1.58, (95% CI 1.30, 1.92); age <30 years: OR 1.58, (1.06, 2.36)). In a subset analysis, those who reported washing their hands 10+ times per day were less likely to report an ILI (OR 0.61 (0.42, 0.89)). CONCLUSIONS: ILIs are likely to be more common during training than healthcare records indicate and may result in decreased training effectiveness. Increasing access to handwashing facilities and education about the importance of handwashing to prevent the spread of disease will likely reduce the ILI burden in this population.

Effects of human immunodeficiency virus status on symptom severity in influenza-like illness in an otherwise healthy adult outpatient cohort.

The impact of HIV on influenza-like illness (ILI) has been incompletely described in the era of combination antiretroviral therapy, particularly in the post-H1N1 pandemic period. This analysis informs on ILI in an otherwise healthy, predominantly outpatient cohort of adults with HIV in the USA. From September 2010 to March 2015, this multisite observational cohort study enrolled otherwise healthy adults presenting to a participating US military medical center with ILI, a subset of whom were HIV positive. Demographics, clinical data, and self-reported symptom severity were ascertained, and enrollees completed a daily symptom diary for up to 10 days. 510 men were included in the analysis; 50 (9.8%) were HIV positive. Subjects with HIV were older and less likely to be on active duty. Rhinovirus and influenza A were the most commonly identified pathogens. Moderate-severe diarrhea (p<0.001) and fatigue (p=0.01) were more frequently reported by HIV-positive men. HIV positivity was associated with higher gastrointestinal scores, but not other measures of ILI symptom severity, after controlling for age, race, military status, and influenza season. Few were hospitalized. HIV-positive subjects had more influenza B (p=0.04) and were more likely to receive antivirals (32% vs 6%, p<0.01). Antiviral use was not significantly associated with symptom scores when accounting for potential confounders. In this predominantly outpatient cohort of adult men, HIV had minimal impact on ILI symptom severity. Despite similar illness severity, a higher percentage of subjects with HIV reported undergoing antiviral treatment for ILI, likely reflecting differences in prescribing practices.Trial registration number: NCT01021098.

Antigen-based multiplex strategies to discriminate SARS-CoV-2 natural and vaccine induced immunity from seasonal human coronavirus humoral responses.

Sensitive and specific SARS-CoV-2 antibody assays remain critical for community and hospital-based SARS-CoV-2 sero-surveillance. With the rollout of SARS-CoV-2 vaccines, such assays must be able to distinguish vaccine from natural immunity to SARS-CoV-2 and related human coronaviruses. Here, we developed and implemented multiplex microsphere-based immunoassay strategies for COVD-19 antibody studies that incorporates spike protein trimers of SARS-CoV-2 and the endemic seasonal human coronaviruses (HCoV), enabling high throughout measurement of pre-existing cross-reactive antibodies. We varied SARS-CoV-2 antigen compositions within the multiplex assay, allowing direct comparisons of the effects of spike protein, receptor-binding domain protein (RBD) and nucleocapsid protein (NP) based SARS-CoV-2 antibody detection. Multiplex immunoassay performance characteristics are antigen-dependent, and sensitivities and specificities range 92-99% and 94-100%, respectively, for human subject samples collected as early as 7-10 days from symptom onset. SARS-CoV-2 spike and RBD had a strong correlative relationship for the detection of IgG. Correlation between detectable IgG reactive with spike and NP also had strong relationship, however, several PCR-positive and spike IgG-positive serum samples were NP IgG-negative. This spike and NP multiplex immunoassay has the potential to be useful for differentiation between vaccination and natural infection induced antibody responses. We also assessed the induction of de novo SARS-CoV-2 IgG cross reactions with SARS-CoV and MERS-CoV spike proteins. Furthermore, multiplex immunoassays that incorporate spike proteins of SARS-CoV-2 and HCoVs will permit investigations into the influence of HCoV antibodies on COVID-19 clinical outcomes and SARS-CoV-2 antibody durability.

Comparison of A(H3N2) Neutralizing Antibody Responses Elicited by 2018-2019 Season Quadrivalent Influenza Vaccines Derived from Eggs, Cells, and Recombinant Hemagglutinin.

BACKGROUND: Low vaccine effectiveness against A(H3N2) influenza in seasons with little antigenic drift has been attributed to substitutions in hemagglutinin (HA) acquired during vaccine virus propagation in eggs. Clinical trials comparing recombinant HA vaccine (rHA) and cell-derived inactivated influenza vaccine (IIV) to egg-derived IIVs provide opportunities to assess how egg-adaptive substitutions influence HA immunogenicity. METHODS: Neutralization titers in pre- and postimmunization sera from 133 adults immunized with 1 of 3 types of influenza vaccines in a randomized, open-label trial during the 2018-2019 influenza season were measured against egg- and cell-derived A/Singapore/INFIMH-16-0019/2016-like and circulating A(H3N2) influenza viruses using HA pseudoviruses. RESULTS: All vaccines elicited neutralizing antibodies to all H3 vaccine antigens, but the rHA vaccine elicited the highest titers and seroconversion rates against all strains tested. Egg- and cell-derived IIVs elicited responses similar to each other. Preimmunization titers against H3 HA pseudoviruses containing egg-adaptive substitutions T160K and L194P were high, but lower against H3 HA pseudoviruses without those substitutions. All vaccines boosted neutralization titers against HA pseudoviruses with egg-adaptive substitutions, but poorly neutralized wild-type 2019-2020 A/Kansas/14/2017 (H3N2) HA pseudoviruses. CONCLUSION: Egg- and cell-derived 2018-2019 season influenza vaccines elicited similar neutralization titers and response rates, indicating that the cell-derived vaccine did not improve immunogenicity against the A(H3N2) viruses. The higher responses after rHA vaccination may be due to its higher HA content. All vaccines boosted titers to HA with egg-adaptive substitutions, suggesting boosting from past antigens or better exposure of HA epitopes. Studies comparing immunogenicity and effectiveness of different influenza vaccines across many seasons are needed.

A betacoronavirus multiplex microsphere immunoassay detects early SARS-CoV-2 seroconversion and antibody cross reactions.

Sensitive and specific SARS-CoV-2 antibody assays remain critical for community and hospital-based SARS-CoV-2 surveillance. Here, we developed and applied a multiplex microsphere-based immunoassay (MMIA) for COVD-19 antibody studies that incorporates spike protein trimers of SARS-CoV-2, SARS-CoV-1, MERS-CoV, and the seasonal human betacoronaviruses, HCoV-HKU1 and HCoV-OC43, that enables measurement of off-target pre-existing cross-reactive antibodies. The MMIA performances characteristics are: 98% sensitive and 100% specific for human subject samples collected as early as 10 days from symptom onset. The MMIA permitted the simultaneous identification of SARS-CoV-2 seroconversion and the induction of SARS-CoV-2 IgG antibody cross reactions to SARS-CoV-1 and MERS-CoV. Further, synchronous increases of HCoV-OC43 IgG antibody levels was detected with SARS-CoV-2 seroconversion in a subset of subjects for whom early infection sera were available prior to their SARS-CoV-2 seroconversion, suggestive of an HCoV-OC43 memory response triggered by SARS-CoV-2 infection.

A betacoronavirus multiplex microsphere immunoassay detects early SARS-CoV-2 seroconversion and controls for pre-existing seasonal human coronavirus antibody cross-reactivity.

With growing concern of persistent or multiple waves of SARS-CoV-2 in the United States, sensitive and specific SARS-CoV-2 antibody assays remain critical for community and hospital-based SARS-CoV-2 surveillance. Here, we describe the development and application of a multiplex microsphere-based immunoassay (MMIA) for COVD-19 antibody studies, utilizing serum samples from non-human primate SARS-CoV-2 infection models, an archived human sera bank and subjects enrolled at five U.S. military hospitals. The MMIA incorporates prefusion stabilized spike glycoprotein trimers of SARS-CoV-2, SARS-CoV-1, MERS-CoV, and the seasonal human coronaviruses HCoV-HKU1 and HCoV-OC43, into a multiplexing system that enables simultaneous measurement of off-target pre-existing cross-reactive antibodies. We report the sensitivity and specificity performances for this assay strategy at 98% sensitivity and 100% specificity for subject samples collected as early as 10 days after the onset of symptoms. In archival sera collected prior to 2019 and serum samples from subjects PCR negative for SARS-CoV-2, we detected seroprevalence of 72% and 98% for HCoV-HKU1 and HCoV-0C43, respectively. Requiring only 1.25 µL of sera, this approach permitted the simultaneous identification of SARS-CoV-2 seroconversion and polyclonal SARS-CoV-2 IgG antibody responses to SARS-CoV-1 and MERS-CoV, further demonstrating the presence of conserved epitopes in the spike glycoprotein of zoonotic betacoronaviruses. Application of this serology assay in observational studies with serum samples collected from subjects before and after SARS-CoV-2 infection will permit an investigation of the influences of HCoV-induced antibodies on COVID-19 clinical outcomes.

Comparable Disease Severity by Influenza Virus Subtype in the Acute Respiratory Infection Consortium Natural History Study.

INTRODUCTION: Since the influenza A/H1N1 pandemic of 2009 to 2010, numerous studies have described the clinical course and outcome of the different subtypes of influenza (A/H1N1, A/H3N2, and B). A recent systematic literature review concluded that there were no appreciable differences in either clinical presentation or disease severity among these subtypes, but study parameters limit the applicability of these results to military populations. We sought to evaluate differences in disease severity among influenza subtypes in a cohort of healthy, primarily outpatient adult U.S. Department of Defense beneficiaries. MATERIALS AND METHODS: From 2009 to 2014, we enrolled otherwise healthy adults age 18 to 65 years with influenza-like illness in an observational cohort study based in 5 U.S. military medical centers. Serial nasopharyngeal swabs were collected for determination of etiology and viral shedding by polymerase chain reaction. The presence and severity of symptoms was assessed by interview and patient diary. RESULTS: Over a 5-year period, a total of 157 adults with laboratory-confirmed influenza and influenza subtype were enrolled. Of these, 69 (44%) were positive for influenza A(H1N1), 69 (44%) for influenza A(H3N2), and 19 (12%) for influenza B. About 61% were male, 64% were active duty military personnel, and 72% had received influenza vaccine in the past 8 months. Almost 10% were hospitalized with influenza. Seasonal influenza virus distribution among enrollees mirrored that of nationwide trends each year of study. Individuals with A/H1N1 had upper respiratory composite scores that were lower than those with A/H3N2. Multivariate models indicated that individuals with A(H1N1) and B had increased lower respiratory symptom scores when compared to influenza A(H3N2) (A[H1N1]: 1.51 [95% CI 0.47, 2.55]; B: 1.46 [95% CI 0.09, 2.83]), whereas no other differences in symptom severity scores among influenza A(H1N1), influenza A(H3N2), and influenza B infection were observed. Overall, influenza season (maximum in 2012-2013 season) and female sex of the participant were found to be associated with increased influenza symptom severity. CONCLUSIONS: Our study of influenza in a cohort of otherwise healthy, outpatient adult Department of Defense beneficiaries over 5 influenza seasons revealed few differences between influenza A(H1N1), influenza A(H3N2), and influenza B infection with respect to self-reported disease severity or clinical outcomes. This study highlights the importance of routine, active, and laboratory-based surveillance to monitor ongoing trends and severity of influenza in various populations to inform prevention measures.

Biannual Treatment of Preschool Children with Single Dose Azithromycin to Reduce Mortality: Impact on Azithromycin Resistance in the MORDOR Trial in Tanzania.

The Macrolides Oraux pour Réduire les Décès avec un Oeil sur la Résistance study showed that administration of biannual, single-dose azithromycin to preschool children reduces mortality. We sought to evaluate its impact on azithromycin resistance. Thirty randomly selected communities in Kilosa district, Tanzania, were randomized to receive 6-monthly single-dose azithromycin (∼20 mg/kg) versus placebo treatment of children aged 1-59 months. From each community, 40 children (aged 1-59 months) were randomly selected at baseline, 12 and 24 months. Isolation and resistance testing of Streptococcus pneumoniae and Escherichia coli were evaluated using nasopharyngeal and rectal swabs, respectively. The carriage prevalence and the proportion of azithromycin-resistant isolates were determined using disk diffusion. At baseline, the characteristics of the randomly selected children were similar by treatment arms. Both at baseline and in annual cross-sectional surveys, rates of S. pneumoniae and E. coli isolation between treatment arms were similar. The proportions of azithromycin-resistant S. pneumoniae isolates in the children in communities treated with azithromycin versus placebo at baseline, 12 months, and 24 months were 26.5% (18.1%; P = 0.26), 26.8% (16.5%; P = 0.29), and 13.4% (17.0%; P = 0.57), respectively. The proportions of azithromycin-resistant E. coli isolates at baseline, 12 months, and 24 months in the azithromycin (versus placebo) arms were 14.9% (18.9%; P = 0.16), 21.5% (16.6%; P = 0.10), and 14.9% (14.7%; P = 0.95), respectively. Over the 24 months, the mean treatment coverage for the azithromycin and placebo was 76.9% and 74.8%, respectively (P = 0.49). Biannual administration of single-dose azithromycin to children did not appear to result in excess azithromycin resistance in S. pneumoniae and E. coli isolates over 24 months of follow-up.

Morbidity in a Longitudinal Cohort of Children Residing in Villages Randomized to Biannual Treatment With Azithromycin Versus Placebo.

BACKGROUND: The mechanisms underlying the finding of reduced child mortality in communities with biannual treatment with azithromycin remain unclear. We determined if there was a difference in morbidity in a cohort of children aged 1-36 months, residing in communities randomized to biannual treatment of preschool-aged children with azithromycin or placebo. METHODS: Thirty villages in Kilosa, Tanzania, were randomly assigned to receive biannual treatment of all children aged 1-59 months with either azithromycin (20/mg/kg single dose) or placebo. Children who were aged 1-36 months and participated in the baseline survey were enrolled in this cohort study and followed prospectively for 2 years. Children were monitored every 6 months for signs and symptoms of diarrheal disease, acute respiratory illness, and anemia. Mixed-effects models that include age, time, treatment arm, and the interaction of treatment arm and time as independent predictors were used to evaluate differences between children by treatment assignment over time. RESULTS: There was no difference in rates of diarrhea, fever, or anemia by treatment arm at baseline and at all phases of follow-up. The decline over time in reported cough was statistically significant in the children residing in the azithromycin communities, but not in the placebo communities. Once adjusting for clustering and age, the difference in decline between the 2 treatment arms was not significant (P = .09). CONCLUSIONS: A beneficial effect of azithromycin treatment on morbidity outcomes was not evident at biannual surveys. CLINICAL TRIALS REGISTRATION: NCT02048007.