Factors associated with antibody titer levels among an occupational cohort of fully vaccinated individuals and subsequent risk of COVID-19 infection: A cohort study.

This study (1) determined the association of time since initial vaccine regimen, booster dose receipt, and COVID-19 history with antibody titer, as well as change in titer levels over a defined period, and (2) determined risk of COVID-19 associated with low titer levels. This observational study used data from staff participating in the National Football League COVID-19 Monitoring Program. A cohort of staff consented to antibody-focused sub-study, during which detailed longitudinal data were collected. Among all staff in the program who received antibody testing, COVID-19 incidence following antibody testing was determined. Five hundred eighty-six sub-study participants completed initial antibody testing; 80% (469) completed follow-up testing 50-101 days later. Among 389 individuals who were not boosted at initial testing, the odds of titer < 1000 AU/mL (vs. ≥1000 AU/mL) increased 44% (odds ratio [OR] = 1.44, 95% confidence interval [CI]: 1.18-1.75) for every 30 days since final dose. Among 126 participants boosted before initial testing with no COVID-19 history, 125 (99%) had a value > 2500 AU/ml; 86 (96%) of 90 tested at follow-up and did not develop COVID-19 in the interim remained at that value. One thousand fifty-seven fully vaccinated (330 [29%] boosted at antibody test) individuals participating in the monitoring program were followed to determine COVID-19 status. Individuals with titer value < 1000 AU/mL had twice the risk of COVID-19 as those with >2500 AU/mL (HR = 2.02, 95% CI: 1.28-3.18). Antibody levels decrease postvaccination; boosting increases titer values. While antibody level is not a clear proxy for infection immunity, lower titer values are associated with higher COVID-19 incidence, suggesting increased protection from boosters.

Results from a Test-to-Release from Isolation Strategy Among Fully Vaccinated National Football League Players and Staff Members with COVID-19 - United States, December 14-19, 2021.

During December 2021, the United States experienced a surge in COVID-19 cases, coinciding with predominance of the SARS-CoV-2 B.1.1.529 (Omicron) variant (1). During this surge, the National Football League (NFL) and NFL Players Association (NFLPA) adjusted their protocols for test-to-release from COVID-19 isolation on December 16, 2021, based on analytic assessments of their 2021 test-to-release data. Fully vaccinated* persons with COVID-19 were permitted to return to work once they were asymptomatic or fever-free and experiencing improving symptoms for ≥24 hours, and after two negative or high cycle-threshold (Ct) results (Ct≥35) from either of two reverse transcription-polymerase chain reaction (RT-PCR) tests† (2). This report describes data from NFL's SARS-CoV-2 testing program (3) and time to first negative or Ct≥35 result based on serial COVID-19 patient testing during isolation. Among this occupational cohort of 173 fully vaccinated adults with confirmed COVID-19 during December 14-19, 2021, a period of Omicron variant predominance, 46% received negative test results or had a subsequent RT-PCR test result with a Ct≥35 by day 6 postdiagnosis (i.e., concluding 5 days of isolation) and 84% before day 10. The proportion of persons with positive test results decreased with time, with approximately one half receiving positive RT-PCR test results after postdiagnosis day 5. Although this test result does not necessarily mean these persons are infectious (RT-PCR tests might continue to return positive results long after an initial positive result) (4), these findings indicate that persons with COVID-19 should continue taking precautions, including correct and consistent mask use, for a full 10 days after symptom onset or initial positive test result if they are asymptomatic.

Examining the impact of a province-wide physical education policy on secondary students' physical activity as a natural experiment.

BACKGROUND: The purpose of this paper is to examine the impact of a province-wide physical education (PE) policy on secondary school students' moderate to vigorous physical activity (MVPA). METHODS: Policy: In fall 2008, Manitoba expanded a policy requiring a PE credit for students in grades 11 and 12 for the first time in Canada. The PE curriculum requires grades 11 and 12 students to complete a minimum of 55 h (50% of course hours) of MVPA (e.g., ≥30 min/day of MVPA on ≥5 days a week) during a 5-month semester to achieve the course credit. STUDY DESIGNS: A natural experimental study was designed using two sub-studies: 1) quasi-experimental controlled pre-post analysis of self-reported MVPA data obtained from census data in intervention and comparison [Prince Edward Island (PEI)] provinces in 2008 (n = 33,619 in Manitoba and n = 2258 in PEI) and 2012 (n = 41,169 in Manitoba and n = 4942 in PEI); and, 2) annual objectively measured MVPA in cohorts of secondary students in intervention (n = 447) and comparison (Alberta; n = 224) provinces over 4 years (2008 to 2012). ANALYSIS: In Study 1, two logistic regressions were conducted to model the odds that students accumulated: i) ≥30 min/day of MVPA, and ii) met Canada's national recommendation of ≥60 min/day of MVPA, in Manitoba versus PEI after adjusting for grade, sex, and BMI. In Study 2, a mixed effects model was used to assess students' minutes of MVPA per day per semester in Manitoba and Alberta, adjusting for age, sex, BMI, school location and school SES. RESULTS: In Study 1, no significant differences were observed in students achieving ≥30 (OR:1.13, 95% CI:0.92, 1.39) or ≥60 min/day of MVPA (OR:0.92, 95% CI: 0.78, 1.07) from baseline to follow-up between Manitoba and PEI. In Study 2, no significant policy effect on students' MVPA trajectories from baseline to last follow-up were observed between Manitoba and Alberta overall (-1.52, 95% CI:-3.47, 0.42), or by covariates. CONCLUSIONS: The Manitoba policy mandating PE in grades 11 and 12 had no effect on student MVPA overall or by key student or school characteristics. However, the effect of the PE policy may be underestimated due to the use of a nonrandomized research design and lack of data assessing the extent of policy implementation across schools. Nevertheless, findings can provide evidence about policy features that may improve the PE policy in Manitoba and inform future PE policies in other jurisdictions.

Demographic and Clinical Correlates of the Cost of Potentially Preventable Hospital Encounters in a Community Health Center Cohort.

This study sought to describe the cost of hospital care for ambulatory care-sensitive conditions (ACSCs) and to identify independent predictors of high-cost hospital encounters related to an ACSC among an urban community health center cohort. The authors conducted a retrospective cohort study of individuals engaged in care in a large, multisite community health center in New Haven, Connecticut, with any Medicaid claims between June 1, 2018 and March 31, 2020. Prevention Quality Indicators of the Agency for Healthcare Research and Quality were used to identify ACSCs. The primary outcome was a high-cost episode of care for an ACSC (in the top quartile within a 7-day period). Multivariable logistic regression was used to identify independent predictors of high-cost episodes by ACSCs among sociodemographic and clinical variables as covariates. Among 8019 included individuals, a total of 751 episodes of hospital care involving ACSCs were identified. The median episode cost was $793, with the highest median cost of care related to heart failure ($4992), followed by diabetes ($1162), and chronic obstructive pulmonary disease ($1141). In adjusted analyses, male gender (P < 0.01), increasing age (P = 0.02), and ACSC type (P < 0.01) were associated with higher costs of care; race/ethnicity was not. Community health centers in urban settings seeking to reduce the cost of care of potentially preventable hospitalizations may target disease-/condition-specific groups, particularly individuals of increasing age with congestive heart failure and diabetes mellitus. These findings may inform return-on-investment calculations for care coordination and other enabling services programming.

Mediators of Racial Disparity in the Use of Prostate Magnetic Resonance Imaging Among Patients With Prostate Cancer.

Importance: Racial disparity in the use of prostate magnetic resonance imaging (MRI) presents obstacles to closing gaps in prostate cancer diagnosis, treatment, and outcome. Objective: To identify clinical, sociodemographic, and structural processes underlying racial disparity in the use of prostate MRI among men with a new diagnosis of prostate cancer. Design, Setting, and Participants: This population-based cohort study used mediation analysis to assess claims in the US Surveillance, Epidemiology, and End Results (SEER)-Medicare database for prostate MRI among 39 534 patients with a diagnosis of localized prostate cancer from January 1, 2011, to December 31, 2015. Statistical analysis was performed from April 1, 2020, to September 1, 2021. Exposure: Diagnosis of prostate cancer. Main Outcomes and Measures: Claims for prostate MRI within 6 months before or after diagnosis of prostate cancer were assessed. Candidate clinical and sociodemographic meditators were identified based on their association with both race and prostate MRI, including the Index of Concentration at the Extremes (ICE), as specified to measure racialized residential segregation. Mediation analysis was performed using nonlinear multiple additive regression trees models to estimate the direct and indirect effects of mediators. Results: A total of 39 534 eligible male patients (3979 Black patients [10.1%] and 32 585 White patients [82.4%]; mean [SD] age, 72.8 [5.3] years) were identified. Black patients with prostate cancer were less likely than White patients to receive a prostate MRI (6.3% vs 9.9%; unadjusted odds ratio, 0.62, 95% CI, 0.54-0.70). Approximately 24% (95% CI, 14%-32%) of the racial disparity in prostate MRI use between Black and White patients was attributable to geographic differences (SEER registry), 19% (95% CI, 11%-28%) was attributable to neighborhood-level socioeconomic status (residence in a high-poverty area), 19% (95% CI, 10%-29%) was attributable to racialized residential segregation (ICE quintile), and 11% (95% CI, 7%-16%) was attributable to a marker of individual-level socioeconomic status (dual eligibility for Medicare and Medicaid). Clinical and pathologic factors were not significant mediators. In this model, the identified mediators accounted for 81% (95% CI, 64%-98%) of the observed racial disparity in prostate MRI use between Black and White patients. Conclusions and Relevance: In this this population-based cohort study of US adults, mediation analysis revealed that sociodemographic factors and manifestations of structural racism, including poverty and residential segregation, explained most of the racial disparity in the use of prostate MRI among older Black and White men with prostate cancer. These findings can be applied to develop targeted strategies to improve cancer care equity.

Temporal Trends in Opioid Prescribing Patterns Among Oncologists in the Medicare Population.

BACKGROUND: In the wake of the US opioid epidemic, there have been efforts to curb opioid prescribing. However, it is unknown whether these efforts have affected prescribing among oncologists, whose patients often require opioids for symptom management. We investigated temporal patterns in opioid prescribing for Medicare beneficiaries among oncologists and nononcologists. METHODS: We queried the Centers for Medicare and Medicaid Services Part D prescriber dataset for all physicians between January 1, 2013, and December 31, 2017. We used population-averaged multivariable negative binomial regression to estimate the association between time and per-provider opioid and gabapentinoid prescribing rate, defined as the annual number of drug claims (original prescriptions and refills) per beneficiary, among oncologists and nononcologists on a national and state level. RESULTS: From 2013 to 2017, the national opioid-prescribing rate declined by 20.7% (P < .001) among oncologists and 22.8% (P < .001) among non oncologists. During this time frame, prescribing of gabapentin increased by 5.9% (P < .001) and 23.1% (P < .001) among oncologists and nononcologists, respectively. Among palliative care providers, opioid prescribe increased by 15.3% (P < .001). During the 5-year period, 43 states experienced a decrease (P < .05) in opioid prescribing among oncologists, and in 5 states, opioid prescribing decreased more among oncologists than nononcologists (P < .05). CONCLUSIONS: Between 2013 and 2017, the opioid-prescribing rate statistically significantly decreased nationwide among oncologists and nononcologists, respectively. Given similar declines in opioid prescribing among oncologists and nononcologists, there is concern that opioid-prescribing guidelines intended for the noncancer population are being applied inappropriately to patients with cancer and cancer survivors.

Post-operative radiation therapy for non-small cell lung cancer: A comparison of radiation therapy techniques.

OBJECTIVES: Post-operative radiation therapy (PORT) in locally advanced non-small cell lung cancer (LA-NSCLC) has historically been associated with toxicity. Conformal techniques like intensity modulated radiation therapy (IMRT) have the potential to reduce acute and long-term toxicity from radiation therapy. Among patients receiving PORT for LA-NSCLC, we identified factors associated with receipt of IMRT and evaluated the association between IMRT and toxicity. METHODS: We queried the Surveillance, Epidemiology, and End Results (SEER)-Medicare database between January 1, 2006 to December 31, 2014 to identify patients diagnosed with Stage II or III NSCLC and who received upfront surgery and subsequent PORT. Baseline differences between patients receiving 3-dimentional conformal radiation therapy (3D-CRT) and IMRT were assessed using the chi-squared test for proportions and the t-test for means. Multivariable logistic regression was used to identify predictors of receipt of IMRT and pulmonary, esophageal, and cardiac toxicity. Propensity-score matching was employed to reduce the effect of known confounders. RESULTS: A total of 620 patients met the inclusion criteria, among whom 441 (71.2%) received 3D-CRT and 179 (28.8%) received IMRT. The mean age of the cohort was 73.9 years and 54.7% were male. The proportion of patients receiving IMRT increased from 6.2% in 2006 to 41.4% in 2014 (P < 0.001). IMRT was not associated with decreased pulmonary (OR 0.89; 95% CI, 0.62-1.29), esophageal (OR 1.09; 95% CI, 0.0.75-1.58), or cardiac toxicity (OR 1.02; 95% CI, 0.69-1.51). These findings held on propensity-score matching. Clinical risk factors including comorbidity and prior treatment history were associated with treatment toxicity. CONCLUSION: In a cohort of elderly patients, the use of IMRT in the setting of PORT for LA-NSCLC was not associated with a difference in toxicity compared to 3D-CRT. This finding suggests that outcomes from PORT may be independent of radiotherapy treatment technique.

Construction of a Pediatrics Risk Score to Predict High Health Care Costs Among a Community Health Center Cohort.

Risk-stratification strategies are needed for ambulatory pediatric populations. The authors sought to develop age-specific risk scores that predict high health care costs among an urban population. A retrospective cohort study was performed of children ages 1-18 years who received care at Fair Haven Community Health Care (FHCHC), a community health center in New Haven, Connecticut. Cost was estimated from charges in the electronic health record (EHR), which is shared with the only hospital system in the city. Using multivariable logistic regression models, independent predictors of being in the top decile of total charges during the 2017 calendar year were identified, drawing from covariates collected from the EHR prior to 2017. Random forest modeling was used to verify the feature importance of significant covariates and model performance from 2017 cost data were compared to those using 2018 cost data. Regression models were used to construct age-specific nomograms to predict cost. Among 8960 children who received care at FHCHC in the 18 months prior to 2017, covariate frequencies clustered in age groups 1-5 years, 6-11 years, and 12-18 years, so 3 age-specific models were constructed. Prior utilization variables predicted future costs, as did younger children who received specialty care and older children with behavioral health diagnoses. Final models for each age group had C statistics ≥0.68 using both 2017 and 2018 cost data. Prediction models can draw from elements accessible in the EHR to predict cost of ambulatory pediatric patients. Strategies to impact utilization among high-risk children are needed.