Operating Room Extubation for Patients Undergoing Cardiac Surgery: A National STS Database Analysis.

BACKGROUND: The utility of operating room extubation (ORE) following cardiac surgery over fast-track extubation within six hours (FTE) remains contested. We hypothesized ORE would be associated with equivalent rates of morbidity and mortality, relative to FTE. METHODS: Patients undergoing non-emergent cardiac surgery were identified in the Society of Thoracic Surgeons Adult Cardiac Surgery Database between July 2017 and December 2022. Only procedures with STS risk models were included. Risk-adjusted outcomes of ORE and FTE were compared via observed-to-expected ratios with 95% confidence intervals [O/E (95%CI)] aggregated over all procedure types, and ORE versus FTE adjusted odds ratio [AOR(95%CI)] specific to each procedure type using multivariable logistic regression. Analyzed outcomes were operative mortality, prolonged LOS, composite reoperation for bleeding and reintubation, and composite morbidity and mortality. RESULTS: The study population of 669,099 patients across 1,069 hospitals included 36,298 ORE patients in 296 hospitals. Risk-adjusted analyses found that ORE was associated with statistically similar or better results across each of the four outcomes and procedure sub-types. Notably, rates of postoperative mortality were significantly lower in ORE patients undergoing CABG (OR: 0.54 (95% CI:0.46-0.65)), AVR (OR:0.43 (95% CI:0.24-0.77)), and MVR (OR 0.48 (95% CI:0.26-0.89)). CONCLUSIONS: Extubation in the OR was shown to be safe and effective in a selected patient population and may be associated with superior outcomes in coronary artery bypass, aortic valve replacement and mitral valve repair. These national data appear to confirm institutional experiences regarding the potential benefit of OR extubation. Further refinement of optimal populations may justify randomized investigation.

Outcomes of Isolated Tricuspid Valve Surgery: A Society of Thoracic Surgeons Analysis and Risk Model.

BACKGROUND: To provide patients and surgeons with clinically relevant information, The Society of Thoracic Surgeons (STS) Adult Cardiac Surgery Database was queried to develop a risk model for isolated tricuspid valve (TV) operations. METHODS: All patients in the STS Adult Cardiac Surgery Database who had undergone isolated TV repair or replacement (N = 13,587; age 48.3 ± 18.4 years) were identified (July 2017 to June 2023). Multivariable logistic regression accounting for TV replacement vs repair was used to model 8 operative outcomes: mortality, morbidity or mortality or both, stroke, renal failure, reoperation, prolonged ventilation, short hospital stay, and prolonged hospital stay. Model discrimination (C-statistic) and calibration were assessed using 9-fold cross-validation. RESULTS: The isolated TV study population included 41.1% repairs (N = 5,583; age 52.6 ± 18.1 years) and 58.9% replacements (N = 8,004; age 45.3 ± 18.0 years). The overall predicted risk of operative mortality was 5.6%, and it was similar in TV repairs and replacements (5.5% and 5.7%, respectively), as was the predicted risk of composite morbidity and mortality (28.2% and 26.8%). TV replacements were generally performed in younger patients with a higher endocarditis prevalence than TV repairs (45.7% vs 21.1%). The model yielded a C-statistic of 0.81 for mortality and 0.76 for the composite of morbidity and mortality, with excellent observed-to-expected calibration that was comparable in all subcohorts and predicted risk decile groups. CONCLUSIONS: An STS risk model has been developed for isolated TV surgery. The current mortality of isolated TV operations is lower than previously observed. This risk prediction model and these contemporary outcomes provide a new benchmark for current and future isolated TV interventions.

Age-Stratified Surgical Aortic Valve Replacement for Aortic Stenosis.

BACKGROUND: The management of aortic stenosis has evolved to stratification by age as reflected in recent societal guidelines. We evaluated age-stratified surgical aortic valve replacement (SAVR) trends and outcomes in patients with bicuspid aortic valve (BAV) or tricuspid aortic valve (TAV) from The Society of Thoracic Surgeons Adult Cardiac Surgery Database. METHODS: This cohort included adults (≥18 years) undergoing SAVR for severe aortic stenosis between July 2011 and December 2022. Comparisons were stratified by age (<65 years, 65-79 years, ≥80 years) and BAV or TAV status. Primary end points included operative mortality, composite morbidity and mortality, and permanent stroke. Observed to expected ratios by The Society of Thoracic Surgeons predicted risk of mortality were calculated. RESULTS: In total, 200,849 SAVR patients (55,326 BAV [27.5%], 145,526 TAV [72.5%]) from 1238 participating hospitals met study criteria. Annual SAVR volumes decreased by 45% (19,560 to 10,851) during the study period. The decrease was greatest (96%) for patients ≥80 years of age (4914 to 207). The relative prevalence of BAV was greater in younger patients (<65 years, 69,068 [49.5% BAV]; 65-79 years, 104,382 [19.1% BAV]; ≥80 years, 27,399 [4.5% BAV]). The observed mortality in <80-year-old BAV patients (<65 years, 1.08; 65-79 years, 1.21; ≥80 years, 3.68) was better than the expected mortality rate (<65 years, 1.22; 65-79 years, 1.54; ≥80 years, 3.14). CONCLUSIONS: SAVR volume in the transcatheter era has decreased substantially, particularly for patients ≥80 years old and for those with TAV. Younger patients with BAV have better than expected outcomes, which should be carefully considered during shared decision-making in the treatment of aortic stenosis. SAVR should remain the preferred therapy in this population.

The association of self-perceived changes due to COVID-19 with mental and physical health among adult primary care patients with multiple chronic conditions: A US-based longitudinal study.

Introduction: This study explores the association between self-perceived personal and community changes due to COVID-19 and health among vulnerable primary care patients experiencing multiple chronic conditions. Methods: Between September 2017 and February 2021, we obtained data from 2,426 primary care patients managing multiple chronic conditions from across the United States. We assessed the relationship between self-perceived personal and community changes due to COVID-19 and change in health measured by the PROMIS-29 mental and physical health summary scores, GAD-7 (anxiety), andPHQ-9 (depression), and DASI (functional capacity) adjusting for relevant demographic, neighborhood characteristics, and county covariates. Results: After adjustment, self-perceived personal and community changes due to COVID-19 were associated with significantly worse mental health summary scores (ß = -0.55; 95% Confidence Interval (CI) = -0.72, -0.37), anxiety (ß = 0.28; 95% CI = 0.16, 0.39), depression (ß = 0.35; 95% CI = 0.22, 0.47), and physical health summary scores (ß = -0.44; 95% CI = 0.88, 0.00). There was no association with functional capacity (ß = - 0.05; 95% CI = -0.16, 0.05). Discussion: Among adults managing multiple chronic conditions, self-perceived personal and community changes due to COVID-19 were associated with health. This vulnerable population may be particularly susceptible to the negative effects of COVID-19. As we do not know the long-term health effects of COVID, this paper establishes a baseline of epidemiological data on COVID-19 burden and health among primary care patients with multiple chronic conditions.

A Cluster Randomized Trial of Primary Care Practice Redesign to Integrate Behavioral Health for Those Who Need It Most: Patients With Multiple Chronic Conditions.

PURPOSE: Patient outcomes can improve when primary care and behavioral health providers use a collaborative system of care, but integrating these services is difficult. We tested the effectiveness of a practice intervention for improving patient outcomes by enhancing integrated behavioral health (IBH) activities. METHODS: We conducted a pragmatic, cluster randomized controlled trial. The intervention combined practice redesign, quality improvement coaching, provider and staff education, and collaborative learning. At baseline and 2 years, staff at 42 primary care practices completed the Practice Integration Profile (PIP) as a measure of IBH. Adult patients with multiple chronic medical and behavioral conditions completed the Patient-Reported Outcomes Measurement Information System (PROMIS-29) survey. Primary outcomes were the change in 8 PROMIS-29 domain scores. Secondary outcomes included change in level of integration. RESULTS: Intervention assignment had no effect on change in outcomes reported by 2,426 patients who completed both baseline and 2-year surveys. Practices assigned to the intervention improved PIP workflow scores but not PIP total scores. Baseline PIP total score was significantly associated with patient-reported function, independent of intervention. Active practices that completed intervention workbooks (n = 13) improved patient-reported outcomes and practice integration (P ≤ .05) compared with other active practices (n = 7). CONCLUSION: Intervention assignment had no effect on change in patient outcomes; however, we did observe improved patient outcomes among practices that entered the study with greater IBH. We also observed more improvement of integration and patient outcomes among active practices that completed the intervention compared to active practices that did not. Additional research is needed to understand how implementation efforts to enhance IBH can best reach patients.

Practice-Level Documentation of Alcohol-Related Problems in Primary Care.

Importance: Rates of alcohol-associated deaths increased over the past 20 years, markedly between 2019 and 2020. The highest rates are among individuals aged 55 to 64 years, primarily attributable to alcoholic liver disease and psychiatric disorders due to use of alcohol. This study investigates potential geographic disparities in documentation of alcohol-related problems in primary care electronic health records, which could lead to undertreatment of alcohol use disorder. Objective: To identify disparities in documentation of alcohol-related problems by practice-level social deprivation. Design, Setting, and Participants: A cross-sectional study using secondary data from the Integrating Behavioral Health and Primary Care clinical trial (September 21, 2017, to January 8, 2021) was performed. A national sample of 44 primary care practices with co-located behavioral health services was included in the analysis. Patients with 2 primary care visits within 2 years and at least 1 chronic medical condition and 1 behavioral health condition or at least 3 chronic medical conditions were included. Exposure: The primary exposure was practice-level Social Deprivation Index (SDI), a composite measure based on county income, educational level, employment, housing, single-parent households, and access to transportation (scores range from 0 to 100; 0 indicates affluent counties and 100 indicates disadvantaged counties). Main Outcomes and Measures: Documentation of an alcohol-related problem in the electronic health record was determined by International Classification of Diseases, 9th Revision, Clinical Modification and International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Clinical Modification codes or use of medications for alcohol use disorder in past 2 years. Multivariable models adjusted for alcohol consumption, screening for a substance use disorder, urban residence, age, sex, race and ethnicity, income, educational level, and number of chronic health conditions. Results: A total of 3105 participants (mean [SD] age, 63.7 [13.0] years; 64.1% female; 11.5% Black, 7.0% Hispanic, 76.7% White, and 11.9% other race or chose not to disclose; 47.8% household income <$30 000; and 80.7% urban residence). Participants had a mean (SD) of 4.0 (1.7) chronic conditions, 9.1% reported higher-risk alcohol consumption, 4% screened positive for substance use disorder, and 6% had a documented alcohol-related problem in the electronic health record. Mean (SD) practice-level SDI score was 45.1 (20.9). In analyses adjusted for individual-level alcohol use, demographic characteristics, and health status, practice-level SDI was inversely associated with the odds of documentation (odds ratio for each 10-unit increase in SDI, 0.89; 95% CI, 0.80 to 0.99; P = .03). Conclusions and Relevance: In this study, higher practice-level SDI was associated with lower odds of documentation of alcohol-related problems, after adjusting for individual-level covariates. These findings reinforce the need to address primary care practice-level barriers to diagnosis and documentation of alcohol-related problems. Practices located in high need areas may require more specialized training, resources, and practical evidence-based tools that are useful in settings where time is especially limited and patients are complex.

The Association Between Depression and Substance Use Among Primary Care Patients With Comorbid Medical and Behavioral Health Conditions.

INTRODUCTION: The scope of primary care increasingly encompasses patient behavioral health problems, manifest typically through depression screening and treatment. Although substance use is highly comorbid with depression, it is not commonly identified and addressed in the primary care context. This study aimed to examine the association between the likelihood of substance use disorder and increased depression severity, both cross-sectionally and longitudinally, among a sample of 2409 patients from 41 geographically dispersed and diverse primary care clinics across the US. METHODS: This is secondary analysis of data obtained from a multi-site parent study of integrated behavioral health in primary care, among patients with both chronic medical and behavioral health conditions. Patient reported outcome surveys were gathered from patients at 3 time points. The primary care practices were blind to which of their patients completed surveys. Included were standardized measures of depression severity (Patient Health Questionnaire-9) [PHQ-9] and substance use disorder likelihood (Global Appraisal of Individual Needs-Short Screener [GSS]). RESULTS: Four percent of the study population screened positive for substance use disorder. PHQ-9 scores indicated depression among 43% of all patients. There was a significant association between the likelihood of substance use disorder and depression initially, at a 9-month follow-up, and over time. These associations remained significant after adjusting for age, gender, race, ethnicity, education, income, and other patient and contextual characteristics. CONCLUSIONS: The findings suggest that substance use disorder is associated with depression severity cross-sectionally and over time. Primary care clinics and health systems might consider implementing substance use screening in addition to the more common screening strategies for depression. Especially for patients with severe depression or those who do not respond to frontline depression treatments, the undermining presence of a substance use disorder should be explored.

Predictors of inflammatory arthritis among new rheumatology referrals: a cross-sectional study.

Objectives: Early diagnosis and treatment of inflammatory arthritis (IA) is essential to optimize disease control. We aimed to identify variables that distinguish IA from non-inflammatory arthropathy by performing a cross-sectional study of rheumatology referral letters and visit records. Further work describes time to assessment and documentation of variables within referral letters. Methods: We reviewed rheumatology referral letters and new patient visits over a 6-month period. The diagnosis of IA was based on the clinical judgement of the assessing rheumatologist. IA diagnoses included RA, SpAs, unspecified IA, PMR, crystalline arthropathies and remitting seronegative symmetrical synovitis with pitting oedema. Univariate analysis was performed for each variable. Multivariable logistic regression was performed on statistically significant variables. Results: Of 697 patients referred for arthralgia, 25.7% were diagnosed with IA. Variables predictive of IA included tenderness and swelling on examination and ≥1 h of morning stiffness. Increasing arthralgia duration, fatigue and brain fog were negative predictors. The median time from referral to IA diagnosis was 55 days and 20.7% of these patients were seen within 6 weeks. Among referral letters, documentation of arthralgia duration, morning stiffness or joint examination findings was uncommon (31%, 20.5% and 56.7%, respectively). Conclusion: We identified positive and negative predictors of IA. Referral letters often missed key information required for the triaging process. Future efforts will be directed towards build a triaging tool to improve the referral quality and capture of those patients with IA who need earlier access to rheumatology care.

Comparison of mRNA vaccine effectiveness against COVID-19-associated hospitalization by vaccination source: Immunization information systems, electronic medical records, and self-report-IVY Network, February 1-August 31, 2022.

BACKGROUND: Accurate determination of COVID-19 vaccination status is necessary to produce reliable COVID-19 vaccine effectiveness (VE) estimates. Data comparing differences in COVID-19 VE by vaccination sources (i.e., immunization information systems [IIS], electronic medical records [EMR], and self-report) are limited. We compared the number of mRNA COVID-19 vaccine doses identified by each of these sources to assess agreement as well as differences in VE estimates using vaccination data from each individual source and vaccination data adjudicated from all sources combined. METHODS: Adults aged ≥18 years who were hospitalized with COVID-like illness at 21 hospitals in 18 U.S. states participating in the IVY Network during February 1-August 31, 2022, were enrolled. Numbers of COVID-19 vaccine doses identified by IIS, EMR, and self-report were compared in kappa agreement analyses. Effectiveness of mRNA COVID-19 vaccines against COVID-19-associated hospitalization was estimated using multivariable logistic regression models to compare the odds of COVID-19 vaccination between SARS-CoV-2-positive case-patients and SARS-CoV-2-negative control-patients. VE was estimated using each source of vaccination data separately and all sources combined. RESULTS: A total of 4499 patients were included. Patients with ≥1 mRNA COVID-19 vaccine dose were identified most frequently by self-report (n = 3570, 79 %), followed by IIS (n = 3272, 73 %) and EMR (n = 3057, 68 %). Agreement was highest between IIS and self-report for 4 doses with a kappa of 0.77 (95 % CI = 0.73-0.81). VE point estimates of 3 doses against COVID-19 hospitalization were substantially lower when using vaccination data from EMR only (VE = 31 %, 95 % CI = 16 %-43 %) than when using all sources combined (VE = 53 %, 95 % CI = 41 %-62%). CONCLUSION: Vaccination data from EMR only may substantially underestimate COVID-19 VE.

Econometric evaluation of implementing a behavioral health integration intervention in primary care settings.

Integrated behavioral health (IBH) is an approach to patient care that brings medical and behavioral health providers (BHPs) together to address both behavioral and medical needs within primary care settings. A large, pragmatic, national study aimed to test the effectiveness and measure the implementation costs of an intervention to improve IBH integration within primary care practices (IBH-PC). Assess the time and cost to practices of implementing a comprehensive practice-level intervention designed from the perspective of clinic owners to move behavioral service integration from co-location toward full integration as part of the IBH-PC study. IBH-PC program implementation costs were estimated in a representative sample of 8 practices using standard micro-econometric evaluation of activities outlined in the implementation workbook, including program implementation tasks, remote quality improvement coaching services, educational curricula, and learning community activities, over a 24-month period. The total median cost of implementing the IBH-PC program across all stages was $20,726 (range: $12,381 - $60,427). The median cost of the Planning Stage was $10,258 (range: $4,625 - $14,840), while the median cost of the Implementation Stage was $9,208 (range: $6,017 - 49,993). There were no statistically significant differences in practice or patient characteristics between the 8 selected practices and the larger IBH-PC practice sample (N=34). This study aimed to quantify the relative costs associated with integrating behavioral health into primary care. Although the cost assessment approach did not include all costs (fixed, variable, operational, and opportunity costs), the study aimed to develop a replicable and pragmatic measurement process with flexibility to adapt to emerging developments in each practice environment, providing a reasonable ballpark estimate of costs associated with implementation to help guide future executive decisions.

This study estimated the cost of implementing a program that helped 8 primary care practices transition from a co-located behavioral health services model to greater integration. Our study was part of a larger study across the United States. The authors found that the per-practice program implementation cost ranged between $12,381 and $60,427 and the median cost was $20,726. Leaders of healthcare organizations that participated in this study thought that these costs represented the work of program implementation and that they were reasonable and acceptable.

Access to Results of Patient Reported Outcome Surveys Does Not Improve Survey Response Rates.

INTRODUCTION: In this embedded substudy of a longitudinal, randomized controlled trial, we sought to evaluate the effects of patient engagement and results feedback on longitudinal patient-reported outcome (PRO) survey completion rates. METHODS: Newly diagnosed stage 0-III breast cancer patients seen at an academic breast center between June 2019 and December 2021 were invited to participate in a longitudinal PRO study. Participants were emailed the BREAST-Q survey, a validated PRO scale, preoperatively and at regular intervals during their postoperative course. Patients were randomized into the intervention group, who received survey results upon completion, or the control group, who received no feedback. The primary endpoint was postoperative survey completion rate. An intention to treat analysis was performed and a quasi-Poisson regression was used to compare rates of longitudinal survey completion between the two groups. RESULTS: Of the 253 patients offered the preoperative survey, 115 were in the intervention group and 138 were in the control group. Postoperative survey completion rate was 54% for the intervention group and 47% for the control group. There was no significant difference in longitudinal postoperative survey completion rate between the two groups (rate ratio 1.10; 95% confidence interval [CI] 0.93-1.31). CONCLUSIONS: In this prospective randomized controlled study, patients did not complete surveys at a higher rate when their survey results were shared with them, suggesting that viewing these results without appropriate clinical context does not generate significant enhancement in patient engagement. Effective interventions to improve survey response rate must be identified to better evaluate PROs.

Severely Reduced Kidney Function Assessed by a Single eGFR Determination at the Time of an Isolated Heart Transplant Does Not Predict Inevitable Posttransplant ESKD.

BACKGROUND: Consensus guidelines advise simultaneous heart kidney transplantation (SHK) in heart candidates with an estimated glomerular filtration rate (eGFR) of <30 mL/min/1.73 m 2 . We hypothesize that a significant fraction of such patients would not need an SHK, even though a graded increase in mortality and end-stage kidney disease (ESKD) would be seen with decrements in eGFR. METHODS: United Network of Organ Sharing data for isolated heart transplants between 2000 and 2020 were divided into two groups based on eGFR at transplant (≤20 mL/min/1.73 m 2 and 21-29 mL/min/1.73 m 2 ). The primary outcome was mortality and secondary outcome was ESKD posttransplant. Cox regression and cumulative incidence competing risk methods were used to compare risk of mortality and ESKD. RESULTS: There was no difference in mortality (adjusted hazard ratio [aHR] 0.82 [95% confidence interval, CI: 0.60-1.11, P = 0.21]) or ESKD (aHR 1.01 [95% CI: 0.49-2.09, P = 0.96]) between the two groups (≤20 versus 21-29). The overall incidence of ESKD for the entire cohort at 1, 5, and 10 y were 1.5%, 9.5%, and 20%. CONCLUSIONS: Although risk of ESKD is highest in heart candidates with an eGFR <30 mL/min/1.73 m 2 , <10% of patients reach ESKD within 5 y' and most will recover significant renal function posttransplant. More refined selection criteria are required to identify candidates for SHK.

Intraclass Correlation and Variance in the Characteristics of Primary Care Patients Managing Chronic Medical and Behavioral Conditions.

Background To avoid statistical errors, researchers who recruit patients from selected medical practices and analyze them at the individual level need to account for the clustered nature of their sample. This is most often done using the intraclass correlation coefficients (ICCs), a measure of how strongly subjects recruited from the same cluster (in this case patients from a clinic) resemble each other. Aims The aim is to support the design of cluster-randomized studies by supplying estimates of variance and ICC of various measures using a population of patients from multiple primary care clinics. Materials and methods ICCs were extracted from a large cluster-randomized pragmatic clinical trial of adult primary care patients managing multiple chronic conditions, the Integrating Behavioral Health and Primary Care study (IBH-PC). IBH-PC collected demographics and patient-reported health outcomes on over 3,000 adults from 44 primary care practices in 13 states across the US. We present estimates of the standard deviation and ICC for gender, race, ethnicity, marital status, employment, income, education, social determinants of health, PROMIS-29 functional status, Duke Activity Status Index (DASI), nine-item Patient Health Questionnaire (PHQ-9) depression score, Generalized Anxiety Disorder (GAD-7) anxiety score, Asthma Symptom Utility Index, restricted activity days, medication adherence, health care visits in the past month, emergency room visits in the past year, hospital days in the past year, perception of quality and patient-centeredness of care, alcoholic drinks per month, and the GAIN substance use disorder screener. Results ICCs varied broadly with the highest values found for race and income and the lowest for short-term estimates of the GAIN. Conclusions These values can be used to inform the design, especially power estimates and sample size requirements, of future studies.

Urban-Rural Differences in Mental and Physical Health among Primary Care Patients with Multiple Chronic Conditions: A Secondary Analysis from a Randomized Clinical Trial.

PURPOSE: Rural health disparities are largely attributable to access to healthcare, socioeconomic status, and health behaviors. Little is known about the persistence of these disparities when differences in access to care are eliminated. We sought to investigate urban-rural differences in physical and mental health in primary care patients with demonstrated access to primary care. METHODS: We obtained cross-sectional survey responses from a multicenter randomized controlled trial on 2726 adult primary care patients with multiple chronic medical or behavioral conditions from 42 primary care practices in 13 states. Study outcomes include measures of mental health including: The Patient-Reported Outcomes Measurement Information System (PROMIS-29®), General Anxiety Disorder-7 (GAD-7), and Patient Health Questionnaire-9 (PHQ-9), as well as physical health including: the PROMIS-29® and the Duke Activity Status Index (DASI). Urban-rural residence was indicated by census-tract Rural Urban Commuting Areas of the participant's home address. Differences in mental and physical health outcomes attributable to rurality were assessed using multilevel models with a random intercept for census-tract. RESULTS: After adjustment for demographic and neighborhood characteristics, urban residents had significantly worse generalized anxiety disorder (GAD-7) (ß = 0.7; 95% CI = 0.1, 1.3; p = 0.027), depression (PHQ-9) (ß = 0.7; 95% CI = 0.1, 1.4; p = 0.024), and functional capacity (DASI) (ß = -0.4; 95% CI = -0.5, -0.2; p < 0.001) compared to rural residents. Urban residents also had significantly worse anxiety and depression as measured by the PROMIS-29® compared to their rural counterparts. There were no urban-rural differences in the other PROMIS-29® subdomains. CONCLUSIONS: Among adults with demonstrated access to care and multiple diagnosed chronic conditions, rural residents had better mental health and functional capacity than their urban counterparts. This finding is not consistent with prior research documenting rural health disparities and should be confirmed.

Existential distress and meaning making among female breast cancer patients with cancer-related fertility concerns.

OBJECTIVES: The current study explored the impact of cancer-related fertility concerns on existential distress and meaning making among female breast cancer (BC) patients of childbearing age and assessed support needs. METHODS: The current study was embedded within a larger study. A seven-question online survey was administered to female BC participants to explore meaning and identity in their lives. Applied thematic analysis was used to analyze participants' written responses. RESULTS: A total of 98 participants completed the survey, the majority of whom identified as white, married or partnered, and employed full time and with stage I or II BC. More than 50% of the participants expressed a need for support from a counselor or support group during their cancer experience. Three subthemes emerged related to existential distress and cancer-related fertility concerns: (1) loss of womanhood: treatment-related physical changes impact on gender identity; (2) existential distress due to treatment decisions impacting fertility; and (3) shattered vision: cancer-related infertility impact on meaning and purpose. Four subthemes emerged related to meaning making with fertility-related existential concerns: (1) coping with loss of meaning, (2) re-evaluating priorities in life; (3) resilience to loss, and (4) persistent loss of meaning. SIGNIFICANCE OF RESULTS: Study results offer valuable insights into the experiences of female BC survivors' cancer-related fertility on existential distress and meaning making. Development of psychological interventions targeted to support this population to cope with existential distress due to cancer-related fertility concerns and meaning making are needed to improve the quality of life of this population.

Outcomes of Delay of Care After the Onset of COVID-19 for Patients Managing Multiple Chronic Conditions.

PURPOSE: Many patients delayed health care during COVID-19. We assessed the extent to which patients managing multiple chronic conditions (MCC) delayed care in the first months of the pandemic, reasons for delay, and impact of delay on patient-reported physical and behavioral health (BH) outcomes. METHODS: As part of a large clinical trial conducted April 2016-June, 2021, primary care patients managing MCC were surveyed about physical and behavioral symptoms and functioning. Surveys administered between September 3, 2020, and March 16, 2021, included questions about the extent of and reasons for any delayed medical and BH care since COVID-19. Multivariable linear regression was used to assess health outcomes as a function of delay of care status. RESULTS: Among patients who delayed medical care, 58% delayed more than once. Among those who delayed behavioral health care, 63% delayed more than once. Participants who delayed multiple times tended to be younger, female, unmarried, and reported food, financial, and housing insecurities and worse health. The primary reasons for delaying care were lack of availability of in-person visits and perceived lack of urgency. Participants who delayed care multiple times had significantly worse outcomes on nearly every measure of physical and mental health, compared with participants who delayed care once or did not delay. CONCLUSIONS: Delay of care was substantial. Patients who delayed care multiple times were in poorer health and thus in need of more care. Effective strategies for reengaging patients in deferred care should be identified and implemented on multiple levels. TRIAL REGISTRATION: ClinicalTrials.gov NCT02868983. Registered on August 16, 2016.

Effectiveness of Monovalent mRNA Vaccines Against COVID-19-Associated Hospitalization Among Immunocompetent Adults During BA.1/BA.2 and BA.4/BA.5 Predominant Periods of SARS-CoV-2 Omicron Variant in the United States - IVY Network, 18 States, December 26, 2021-August 31, 2022.

The SARS-CoV-2 Omicron variant (B.1.1.529 or BA.1) became predominant in the United States by late December 2021 (1). BA.1 has since been replaced by emerging lineages BA.2 (including BA.2.12.1) in March 2022, followed by BA.4 and BA.5, which have accounted for a majority of SARS-CoV-2 infections since late June 2022 (1). Data on the effectiveness of monovalent mRNA COVID-19 vaccines against BA.4/BA.5-associated hospitalizations are limited, and their interpretation is complicated by waning of vaccine-induced immunity (2-5). Further, infections with earlier Omicron lineages, including BA.1 and BA.2, reduce vaccine effectiveness (VE) estimates because certain persons in the referent unvaccinated group have protection from infection-induced immunity. The IVY Network† assessed effectiveness of 2, 3, and 4 doses of monovalent mRNA vaccines compared with no vaccination against COVID-19-associated hospitalization among immunocompetent adults aged ≥18 years during December 26, 2021-August 31, 2022. During the BA.1/BA.2 period, VE 14-150 days after a second dose was 63% and decreased to 34% after 150 days. Similarly, VE 7-120 days after a third dose was 79% and decreased to 41% after 120 days. VE 7-120 days after a fourth dose was 61%. During the BA.4/BA.5 period, similar trends were observed, although CIs for VE estimates between categories of time since the last dose overlapped. VE 14-150 days and >150 days after a second dose was 83% and 37%, respectively. VE 7-120 days and >120 days after a third dose was 60%and 29%, respectively. VE 7-120 days after the fourth dose was 61%. Protection against COVID-19-associated hospitalization waned even after a third dose. The newly authorized bivalent COVID-19 vaccines include mRNA from the ancestral SARS-CoV-2 strain and from shared mRNA components between BA.4 and BA.5 lineages and are expected to be more immunogenic against BA.4/BA.5 than monovalent mRNA COVID-19 vaccines (6-8). All eligible adults aged ≥18 years§ should receive a booster dose, which currently consists of a bivalent mRNA vaccine, to maximize protection against BA.4/BA.5 and prevent COVID-19-associated hospitalization.

The Relationship Between Mental and Physical Health and Walking During the COVID-19 Pandemic.

INTRODUCTION: COVID-19 policies such as quarantining, social isolation, and lockdowns are an essential public health measure to reduce the spread of disease but may lead to reduced physical activity. Little is known if these changes are associated with changes in physical or mental health. METHODS: Between September 2017 and December 2018 (baseline) and March 2020 and February 2021 (follow-up), we obtained self-reported demographic, health, and walking (only at follow-up) data on 2042 adults in primary care with multiple chronic health conditions. We examined whether the perceived amount of time engaged in walking was different compared with prepandemic levels and if this was associated with changes in Patient-Reported Outcomes Measurement Information System-29 mental and physical health summary scores. Multivariable linear regression controlling for demographic, health, and neighborhood information were used to assess this association. RESULTS: Of the 2042 participants, 9% reported more walking, 28% reported less, and 52% reported the same amount compared with prepandemic levels. Nearly 1/3 of participants reported less walking during the pandemic. Multivariable models revealed that walking less or not at all was associated with negative changes in mental (ß = -1.0; 95% CI [-1.6, -0.5]; ß = -2.2; 95% CI [-2.9, -1.4]) and physical (ß = -0.9; 95% CI [-1.5, -0.3]; ß = -3.1; 95% CI [-4.0, -2.3]) health, respectively. Increasing walking was significantly associated with a positive change in physical health (ß = 1.3; 95% CI [0.3, 2.2]). CONCLUSIONS: These findings demonstrate the importance of walking during the COVID-19 pandemic. Promotion of physical activity should be taken into consideration when mandating restrictions to slow the spread of disease. Primary care providers can assess patient's walking patterns and implement brief interventions to help patients improve their physical and mental health through walking.

Exploring non-linear relationships between neighbourhood walkability and health: a cross-sectional study among US primary care patients with chronic conditions.

BACKGROUND: A recent study of licensed drivers found a non-linear relationship between density of non-residential destinations (NRDs), a proxy for walkability and body mass index (BMI) across a wide range of development patterns. It is unclear if this relationship can be replicated in a population with multiple chronic conditions or translated to health outcomes other than BMI. METHODS: We obtained health data and home addresses for 2405 adults with multiple chronic conditions from 44 primary care clinics across 13 states using the Integrating Behavioral health and Primary Care Trial. In this cross-sectional study, the relationships between density of NRDs (from a commercial database) within 1 km of the home address and self-reported BMI, and mental and physical health indices were assessed using several non-linear methods, including restricted cubic splines, LOWESS smoothing curves, non-parametric regression with a spline basis and piecewise linear regression. RESULTS: All methods demonstrated similar non-linear relationships. Piecewise linear regression was selected for ease of interpretation. BMI had a positive marginal rate of change below the NRD density inflection point of 15 establishments/hectare (ß=+0.09 kg/m2/non-residential buildings ha-1; 95% CI +0.01 to +0.14), and a negative marginal rate of change above the inflection point (ß=-0.02; 95% CI -0.06 to 0.02). Mental health decreased with NRD density below the inflection point (ß=-0.24; 95% CI -0.31 to -0.17) and increased above it (ß=+0.03; 95% CI -0.00 to +0.07). Results were similar for physical health (ß= -0.28; 95% CI -0.35 to -0.20) and (ß=+0.06; 95% CI 0.01 to +0.10). CONCLUSION: Health indicators were the lowest in middle density (typically suburban) areas and got progressively better moving in either direction from the peak. NRDs may affect health differently depending on home-address NRD density. TRIAL REGISTRATION NUMBER: NCT02868983.

The U-shaped association of post-lung transplant mortality with pretransplant eGFR underscores possible limitations of creatinine-based estimation equations for risk stratification.

BACKGROUND: Pre-existing chronic kidney disease (CKD) may have an impact on post-lung transplant survival and the development of end stage kidney disease (ESKD). METHODS: We analyzed the US transplant database from 2006 to 2020. Adult patients who received their first lung transplant and were not on dialysis were included. Multivariable Cox regression was used to assess the effect of pretransplant eGFR on mortality and cumulative incidence competing risk was used to explore the effect on ESKD. RESULTS: The adjusted hazard ratio (aHR) for mortality showed a "U" shaped association with eGFR with a rising mortality at <60 and >100 ml/min/1.73m2. The increase in mortality with higher eGFR was only seen in those <30 year and were primarily in whites with a lower body mass index and in patients with cystic fibrosis (CF). The aHR for ESKD increased below an eGFR of 100 rising to 1.74 at an eGFR of 60. Any decrease in eGFR between listing and transplant >10% was associated with higher risk of ESKD. CONCLUSIONS: The U-shaped association of pretransplant eGFR with post-transplant mortality correlated with younger age, lower BMI and a diagnosis of CF. The aHR for ESKD following lung transplantation increased exponentially with worsening eGFR pretransplant.