Mild Cognitive Impairment: Data-Driven Prediction, Risk Factors, and Workup.

Over 78 million people will suffer from dementia by 2030, emphasizing the need for early identification of patients with mild cognitive impairment (MCI) at risk, and personalized clinical evaluation steps to diagnose potentially reversible causes. Here, we leverage real-world electronic health records in the observational medical outcomes partnership (OMOP) data model to develop machine learning models to predict MCI up to a year in advance of recorded diagnosis. Our experimental results with logistic regression, random forest, and xgboost models trained and evaluated on more than 531K patient visits show random forest model can predict MCI onset with ROC-AUC of 68.2±0.7. We identify the clinical factors mentioned in clinician notes that are most predictive of MCI. Using similar association mining techniques, we develop a data-driven list of clinical procedures commonly ordered in the workup of MCI cases, that could be used as a basis for guidelines and clinical order set templates.

Improving chronic kidney disease detection and treatment in the United States: the chronic kidney disease cascade of care (C3) study protocol.

BACKGROUND: There are major gaps in the implementation of guideline-concordant care for persons with chronic kidney disease (CKD). The CKD Cascade of Care (C3) initiative seeks to improve CKD care by improving detection and treatment of CKD in primary care. METHODS: C3 is a multi-modal initiative deployed in three major academic medical centers within the Department of Veterans Affairs (VA) Health Care System: San Francisco VA, San Diego VA, and Houston VA. The main objective of the first phase of C3 described in this protocol is to establish the infrastructure for universal CKD detection among primary care patients at high-risk for CKD with a triple-marker screen comprising cystatin C, creatinine, and albuminuria. Across the three sites, a comprehensive educational intervention and the integration of primary care-based clinical champions will be employed with the goal of improving CKD detection and treatment. The San Francisco VA will also implement a practice-facilitation intervention leveraging telehealth and health informatics tools and capabilities for enhanced CKD detection. Parallel formative evaluation across the three sites will assess the feasibility and acceptability of integrating cystatin C as part of routine CKD detection in primary care practice. The effectiveness of the interventions will be assessed using a pre-post observational design for change in the proportion of patients tested annually for CKD. Secondary outcomes will assess change in the initiation of cardio-kidney protective therapies and in nephrology referrals of high-risk patients. DISCUSSION: The first phase of C3 is a multi-facility multi-modal initiative that aims to improve CKD care by implementing a triple-marker screen for enhanced CKD detection in primary care.

Association Between Mental Health Conditions and Outpatient Care Fragmentation: a National Study of Older High-Risk Veterans.

BACKGROUND: Healthcare fragmentation may lead to adverse consequences and may be amplified among older, sicker patients with mental health (MH) conditions. OBJECTIVE: To determine whether older Veterans with MH conditions have more fragmented outpatient non-MH care, compared with older Veterans with no MH conditions. DESIGN: Retrospective cohort study using FY2014 Veterans Health Administration (VHA) administrative data linked to Medicare data. PARTICIPANTS: 125,481 VHA patients ≥ 65 years old who were continuously enrolled in Medicare Fee-for-Service Parts A and B and were at high risk for hospitalization. MAIN OUTCOME AND MEASURES: The main outcome was non-MH care fragmentation as measured by (1) non-MH provider count and (2) Usual Provider of Care (UPC), the proportion of care with the most frequently seen non-MH provider. We tested the association between no vs. any MH conditions and outcomes using Poisson regression and fractional regression with logit link, respectively. We also compared Veterans with no MH condition with each MH condition and combinations of MH conditions, adjusting for sociodemographics, comorbidities, and drive-time to VHA specialty care. KEY RESULTS: In total, 47.3% had at least one MH condition. Compared to those without MH conditions, Veterans with MH conditions had less fragmented care, with fewer non-MH providers (IRR = 0.96; 95% CI: 0.96-0.96) and more concentrated care with their usual provider (OR = 1.08 for a higher UPC; 95% CI: 1.07, 1.09) in adjusted models. Secondary analyses showed that those with individual MH conditions (e.g., depression) had fewer non-MH providers (IRR range: 0.86-0.98) and more concentrated care (OR range: 1.04-1.20). A similar pattern was observed when examining combinations of MH conditions (IRR range: 0.80-0.90; OR range: 1.16-1.30). CONCLUSIONS: Contrary to expectations, having a MH condition was associated with less fragmented non-MH care among older, high-risk Veterans. Further research will determine if this is due to different needs, underuse, or appropriate use of healthcare.

Anticipating VA/non-VA care coordination demand for Veterans at high risk for hospitalization.

ABSTRACT: U.S. Veterans Affairs (VA) patients' multi-system use can create challenges for VA clinicians who are responsible for coordinating Veterans' use of non-VA care, including VA-purchased care ("Community Care") and Medicare.To examine the relationship between drive distance and time-key eligibility criteria for Community Care-and VA reliance (proportion of care received in VA versus Medicare and Community Care) among Veterans at high risk for hospitalization. We used prepolicy data to anticipate the impact of the 2014 Choice Act and 2018 Maintaining Internal Systems and Strengthening Integrated Outside Networks Act (MISSION Act), which expanded access to Community Care.Cross-sectional analysis using fractional logistic regressions to examine the relationship between a Veteran's reliance on VA for outpatient primary, mental health, and other specialty care and their drive distance/time to a VA facility.Thirteen thousand seven hundred three Veterans over the age of 65 years enrolled in VA and fee-for-service Medicare in federal fiscal year 2014 who were in the top 10th percentile for hospitalization risk.Key explanatory variables were patients' drive distance to VA > 40 miles (Choice Act criteria) and drive time to VA ≥ 30 minutes for primary and mental health care and ≥60 minutes for specialty care (MISSION Act criteria).Veterans at high risk for hospitalization with drive distance eligibility had increased odds of an outpatient specialty care visit taking place in VA when compared to Veterans who did not meet Choice Act eligibility criteria (odds ratio = 1.10, 95% confidence interval 1.05-1.15). However, drive time eligibility (MISSION Act criteria) was associated with significantly lower odds of an outpatient specialty care visit taking place in VA (odds ratio = 0.69, 95% confidence interval 0.67, 0.71). Neither drive distance nor drive time were associated with reliance for outpatient primary care or mental health care.VA patients who are at high risk for hospitalization may continue to rely on VA for outpatient primary care and mental health care despite access to outside services, but may increase use of outpatient specialty care in the community in the MISSION era, increasing demand for multi-system care coordination.

Outpatient care fragmentation in Veterans Affairs patients at high-risk for hospitalization.

OBJECTIVE: To examine outpatient care fragmentation and its association with future hospitalization among patients at high risk for hospitalization. DATA SOURCES: Veterans Affairs (VA) and Medicare data. STUDY DESIGN: We conducted a longitudinal study, using logistic regression to examine how outpatient care fragmentation in FY14 (as measured by number of unique providers, Breslau's Usual Provider of Care (UPC), Bice-Boxerman's Continuity of Care Index (COCI), and Modified Modified Continuity Index (MMCI)) was associated with all-cause hospitalizations and hospitalizations related to ambulatory care sensitive conditions (ACSC) in FY15. We also examined how fragmentation varied by patient's age, gender, race, ethnicity, marital status, rural status, history of homelessness, number of chronic conditions, Medicare utilization, and mental health care utilization. DATA EXTRACTION METHODS: We extracted data for 130,704 VA patients ≥65 years old with a hospitalization risk ≥90th percentile and ≥ four outpatient visits in the baseline year. PRINCIPAL FINDINGS: The mean (SD) of FY14 outpatient visits was 13.2 (8.6). Fragmented care (more providers, less care with a usual provider, more dispersed care based on COCI) was more common among patients with more chronic conditions and those receiving mental health care. In adjusted models, most fragmentation measures were not associated with all-cause hospitalization, and patients with low levels of fragmentation (more concentrated care based on UPC, COCI, and MMCI) had a higher likelihood of an ACSC-related hospitalization (AOR, 95% CI = 1.21 (1.09-1.35), 1.27 (1.14-1.42), and 1.28 (1.18-1.40), respectively). CONCLUSIONS: Contrary to expectations, outpatient care fragmentation was not associated with elevated all-cause hospitalization rates among VA patients in the top 10th percentile for risk of admission; in fact, fragmented care was linked to lower rates of hospitalization for ACSCs. In integrated settings such as the VA, multiple providers, and dispersed care might offer access to timely or specialized care that offsets risks of fragmentation, particularly for conditions that are sensitive to ambulatory care.

Structural Patterns in Chronic Disease Clinical Practice Guidelines Formalized for Clinical Decision Support.

Making recommendations from clinical practice guidelines (CPGs) computable for clinical decision support (CDS) has typically been a laborious and costly process. Identifying domain-specific regularities helps clinicians and knowledge engineers conceptualize, extract, and encode evidence-based recommendations. Based on our work to provide complex CDS in the management of multiple chronic diseases, we propose nine chronic disease CPG structural patterns, discuss considerations in representing the necessary knowledge, and illustrate them with the solutions that our CDS system provides.

Cochlear implant outcomes in the very elderly.

PURPOSE: Managing hearing health in older adults has become a public health imperative, and cochlear implantation is now the standard of care for aural rehabilitation when hearing aids no longer provide sufficient benefit. The aim of our study was to compare speech performance in cochlear implant patients ≥80 years of age (Very Elderly) to a younger elderly cohort between ages 65-79 years (Less Elderly). MATERIALS AND METHODS: Data were collected from 53 patients ≥80 years of age and 92 patients age 65-79 years who underwent cochlear implantation by the senior author between April 1, 2017 and May 12, 2020. The primary outcome measure compared preoperative AzBio Quiet scores to 6-month post-activation AzBio Quiet results for both cohorts. RESULTS: Very Elderly patients progressed from an average AzBio Quiet score of 22% preoperatively to a score of 45% in the implanted ear at 6-months post-activation (p < 0.001) while the Less Elderly progressed from an average score of 27% preoperatively to 60% at 6-months (p < 0.001). Improvements in speech intelligibility were statistically significant within each of these cohorts (p < 0.001). Comparative statistics using independent samples t-test and evaluation of effect size using the Hedges' g statistic demonstrated a significant difference for average improvement of AzBio in quiet scores between groups with a medium effect size (p = 0.03, g = 0.35). However, when the very oldest patients (90+ years) were removed, the statistical difference between groups disappeared (p = 0.09). CONCLUSIONS: When assessing CI performance, those over age 65 are typically compared to younger patients; however, this manuscript further stratifies audiometric outcomes for older CI recipients in a single-surgeon, high-volume practice. Our data indicates that for speech intelligibility, patients between age 65-79 perform similarly to CI recipients 80-90 years of age and should not be dismissed as potential cochlear implant candidates.

Nephrology Referral Based on Laboratory Values, Kidney Failure Risk, or Both: A Study Using Veterans Affairs Health System Data.

RATIONALE & OBJECTIVE: Current guidelines for nephrology referral are based on laboratory criteria. We sought to evaluate whether nephrology referral patterns reflect current clinical practice guidelines and to estimate the change in referral volume if they were based on the estimated risk of kidney failure. STUDY DESIGN: Observational cohort. SETTING & PARTICIPANTS: Retrospective study of 399,644 veterans with chronic kidney disease (October 1, 2015 through September 30, 2016). EXPOSURE: Laboratory referral criteria based on Veterans Affairs/Department of Defense guidelines, categories of predicted risk for kidney failure using the Kidney Failure Risk Equation, and the combination of laboratory referral criteria and predicted risk. OUTCOME: Number of patients identified for referral. ANALYTICAL APPROACH: We evaluated the number of patients who were referred and their predicted 2-year risk for kidney failure. For each exposure, we estimated the number of patients who would be identified for referral. RESULTS: There were 66,276 patients who met laboratory indications for referral. Among these patients, 11,752 (17.7%) were referred to nephrology in the following year. The median 2-year predicted risk of kidney failure was 1.5% (interquartile range, 0.3%-4.7%) among all patients meeting the laboratory referral criteria. If referrals were restricted to patients with a predicted risk of ≥1% in addition to laboratory indications, the potential referral volume would be reduced from 66,276 to 38,229 patients. If referrals were based on predicted risk alone, a 2-year risk threshold of 1% or higher would identify a similar number of patients (72,948) as laboratory-based criteria with median predicted risk of 2.3% (interquartile range, 1.4%-4.6%). LIMITATIONS: Missing proteinuria measurements. CONCLUSIONS: The current laboratory-based guidelines for nephrology referral identify patients who are, on average, at low risk for progression, most of whom are not referred. As an alternative, referral based on a 2-year kidney failure risk exceeding 1% would identify a similar number of patients but with a higher median risk of kidney failure.

Decentralized Cochlear Implant Programming Network Improves Access, Maintains Quality, and Engenders High Patient Satisfaction.

OBJECTIVE: Cochlear implants have become a powerful tool in managing patients with moderate to profound sensorineural hearing loss and lack of benefit from hearing aids. Currently, less than 10% of people who would benefit from a CI receive the treatment. This lack of access is multi-factorial yet largely due in part to an inadequate referral system. The purpose of the current study was to evaluate speech outcomes and patient satisfaction for adult cochlear implant (CI) recipients in a single-surgeon, high volume CI center that uses a decentralized network (DCN) of private practice programming audiologists. STUDY DESIGN: Retrospective case series. SETTING: Tertiary otology/neurotology practice. PATIENTS: Adult CI recipients implanted between April 2017 and August 2019. INTERVENTIONS: Surgical/rehabilitative. MAIN OUTCOME MEASURES: Speech outcomes (AzBio quiet) were evaluated 6-months post implantation. Patients were surveyed to determine satisfaction with programming services, surgical services, and CI benefit. RESULTS: The senior author (A.J.) performed 223 CI operations: 136 (61%) were programmed at the CI center and 84 (38%) at outside audiology clinics through a DCN. The 6-month speech outcomes (AzBio, quiet) revealed similar scores regardless of where programming services were received; CI center: 25% pre-op versus 55% post-op; DCN: 24% pre-op versus 59% post-op. Additionally, patients reported high-levels of satisfaction with programming services, surgical services, and CI benefit. CONCLUSION: A decentralized network of well-trained private practice audiologists who identify CI candidates and program their devices after surgery 1) improves patient access to cochlear implantation, 2) maintains excellent speech outcomes, and 3) engenders high levels of patient satisfaction.

Cochlear Implant Outcomes in Elderly Recipients During the COVID-19 Pandemic.

OBJECTIVE: To evaluate the potential significance of social distancing and quarantine precautions for COVID-19 on speech outcomes, missed appointments, wear time, and exposure to various sound environments in the first 6 months following activation for elderly cochlear implant (CI) recipients. STUDY DESIGN: Retrospective cohort. SETTING: Tertiary private practice. PATIENTS: Fifty cochlear implant recipients ≥65 years were evaluated. A Control Group consisted of 26 patients implanted between November 2, 2018 and February 18, 2019 while the Pandemic Group included 24 patients implanted between November 1, 2019 and February 17, 2020. INTERVENTION: Rehabilitative. MAIN OUTCOME MEASURES: Preoperative and 6-month postoperative AzBio sentence scores in quiet were compared between groups along with the number of missed appointments as well as datalogged information regarding average CI wear time and average hours in various sound environments such as quiet, speech, and speech-in-noise. RESULTS: The Control Group averaged 36.5% improvement for AzBio in quiet scores while the Pandemic Group averaged only 17.2% improvement, a difference that was both statistically and clinically significant (p = 0.04; g = 0.64). Patients in the Pandemic Group were nearly twice as likely to miss CI programming appointments than the Control Group. The Pandemic Group wore their CI 1.2 less hours per day on average, and while the Pandemic Group spent similar times in quiet and speech environments to the Control Group, the Pandemic Group spent less time in speech with presence of background noise. CONCLUSIONS: While social distancing and quarantine measures are crucial to limiting spread of COVID-19, these precautions may have negatively impacted early speech performance for elderly cochlear implant recipients. Missed CI programming appointments, decreased sound processor wear time, and reduced exposure to complex listening environments such as speech in the presence of background noise were more common in the Pandemic Group than in the Control Group operated the year prior.

Renin-angiotensin-aldosterone system inhibitors and SARS-CoV-2 infection: an analysis from the veteran's affairs healthcare system.

BACKGROUND: Angiotensin-converting enzyme inhibitors (ACEI) and angiotensin receptor blockers (ARB) are known to impact the functional receptor for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The association between chronic therapy with these medications and infection risk remains unclear. OBJECTIVES: The objective was to determine the association between prior ACEI or ARB therapy and SARS-CoV-2 infection among patients with hypertension in the U.S. Veteran's Affairs health system. METHODS: We compared the odds of SARS-CoV-2 infection among three groups: patients treated with ACEI, treated with ARB, or treated with alternate first-line anti-hypertensives without ACEI/ARB. We excluded patients with alternate indications for ACEI or ARB therapy. We performed an augmented inverse propensity weighted analysis with adjustment for demographics, region, comorbidities, vitals, and laboratory values. RESULTS: Among 1,724,723 patients with treated hypertension, 659,180 were treated with ACEI, 310,651 with ARB, and 754,892 with neither. Before weighting, patients treated with ACEI or ARB were more likely to be diabetic and use more anti-hypertensives. There were 13,278 SARS-CoV-2 infections (0.8%) between February 12, 2020 and August 19, 2020. Patients treated with ACEI had lower odds of SARS-CoV-2 infection (odds ratio [OR] 0.93; 95% CI: 0.89-0.97) while those treated with ARB had similar odds (OR 1.02; 95% CI: 0.96-1.07) compared with patients treated with alternate first-line anti-hypertensives without ACEI/ARB. In falsification analyses, patients on ACEI did not have a difference in their odds of unrelated outcomes. CONCLUSIONS: Our results suggest the safety of continuing ACEI and ARB therapy. The association between ACEI therapy and lower odds of SARS-CoV-2 infection requires further investigation.

Proportion of SARS-CoV-2 positive tests and vaccination in Veterans Affairs Community Living Centers.

BACKGROUND/OBJECTIVES: COVID-19 has caused significant morbidity and mortality in nursing homes. Vaccination against SARS-COV-2 holds promise for reduction in COVID-19. This operational analysis describes the proportion of SARS-COV-2 positive tests before, during, and after vaccination. DESIGN: Retrospective longitudinal cohort analysis from October 1, 2020 until February 14, 2021. SETTING: A total of 130 Department of Veterans Affairs (VA) Community Living Centers (CLC), analogous to nursing homes. INTERVENTION: Vaccination for SARS-CoV-2. MEASUREMENTS: The primary measure is the proportion of SARS-CoV-2 positive tests among CLC residents. In a pooled analysis of weekly testing and vaccine data, the proportion of positive tests was compared for the unvaccinated, first dose, and second dose. For each CLC, we identified the week in which 50% of CLC residents were vaccinated (index week). The analysis aligned the index week for CLCs and examined the proportion of SARS-CoV-2 positive tests at the CLC level before and after. As a reference, we plotted the proportion of positive tests in nursing homes in the same county as the CLC using publicly reported data. RESULTS: Within the pooled VA CLCs, the first SARS-CoV-2 vaccine dose was delivered to 50% of CLC residents within 1 week of availability and second dose within 5 weeks. Relative to the index week, the risk ratio of SARS-CoV-2 positive tests in the vaccinated relative to unvaccinated was significantly lower in Week 4 (relative risk 0.37, 95% confidence interval 0.20-0.68). Throughout the study period, the proportion of SARS-CoV-2 positive tests in community nursing homes was higher compared to VA CLC and also declined after vaccine availability. CONCLUSION: The proportion of SARS-CoV-2 positive tests significantly declined in VA CLCs 4 weeks after vaccine delivery and continued to decline in vaccinated and unvaccinated residents. The results describe the importance of SARS-CoV-2 surveillance and vaccination in VA nursing home residents.

Laboratory-wide association study of survival with prostate cancer.

BACKGROUND: Estimates of overall patient health are essential to inform treatment decisions for patients diagnosed with cancer. The authors applied XWAS methods, herein referred to as "laboratory-wide association study (LWAS)", to evaluate associations between routinely collected laboratory tests and survival in veterans with prostate cancer. METHODS: The authors identified 133,878 patients who were diagnosed with prostate cancer between 2000 and 2013 in the Veterans Health Administration using any laboratory tests collected within 6 months of diagnosis (3,345,083 results). Using the LWAS framework, the false-discovery rate was used to test the association between multiple laboratory tests and survival, and these results were validated using training, testing, and validation cohorts. RESULTS: A total of 31 laboratory tests associated with survival met stringent LWAS criteria. LWAS confirmed markers of prostate cancer biology (prostate-specific antigen: hazard ratio [HR], 1.07 [95% confidence interval (95% CI), 1.06-1.08]; and alkaline phosphatase: HR, 1.22 [95% CI, 1.20-1.24]) as well laboratory tests of general health (eg, serum albumin: HR, 0.78 [95% CI, 0.76-0.80]; and creatinine: HR, 1.05 [95% CI, 1.03-1.07]) and inflammation (leukocyte count: HR, 1.23 [95% CI, 1.98-1.26]; and erythrocyte sedimentation rate: HR, 1.33 [95% CI, 1.09-1.61]). In addition, the authors derived and validated separate models for patients with localized and advanced disease, identifying 28 laboratory markers and 15 laboratory markers, respectively, in each cohort. CONCLUSIONS: The authors identified routinely collected laboratory data associated with survival for patients with prostate cancer using LWAS methodologies, including markers of prostate cancer biology, overall health, and inflammation. Broadening consideration of determinants of survival beyond those related to cancer itself could help to inform the design of clinical trials and aid in shared decision making. LAY SUMMARY: This article examined routine laboratory tests associated with survival among veterans with prostate cancer. Using laboratory-wide association studies, the authors identified 31 laboratory tests associated with survival that can be used to inform the design of clinical trials and aid patients in shared decision making.

Guided self-management targeting anxiety and activity participation in older Veterans.

OBJECTIVES: This study examined the acceptance, feasibility, and preliminary effects of a guided self-management intervention using video delivery and a telephone coach on anxiety and activity engagement. METHOD: Ten Veterans aged 60 years or older with anxiety disorders determined by Structured Clinical Interview for Diagnostic and Statistical Manual 5th edition (SCID-5) at baseline visit participated in this non-randomized study examining a 4-week guided self-management intervention for anxiety. Feasibility was examined using participation engagement with the intervention. Measures of anxiety (Geriatric Anxiety Scale, PROMIS Anxiety Scale, Anxiety Control Questionnaire), depression (Patient Health Questionnaire 9-item), and activity participation (modified Activity Card Sort) administered at baseline and final (week 8) visit provided estimates of preliminary intervention effects. The Geriatric Anxiety Scale also was administered by phone at week 4. Participants completed a semi-structured qualitative interview at the final visit, which provided information about the acceptability, benefits of intervention, and barriers to engagement. RESULTS: All participants (N = 10) reported that the intervention somewhat or completely met their expectations, demonstrating intervention acceptability. Intervention completers (n = 9) experienced reduced anxiety over the first 4 weeks, alongside significant improvements in anxiety control and personalized activity goals across 8 weeks. However, anxiety symptoms tended to return to baseline at follow-up. Participants identified the relaxation videos and promotion of a daily relaxation routine as the most helpful intervention components. CONCLUSIONS: Findings indicate that the intervention may improve activity participation and reduce anxiety. Thus, guided self-management interventions show promise for reducing distress and maintaining engagement later in life.

Cataract Surgery Complexity and Surgical Complication Rates Among Medicare Beneficiaries With and Without Dementia.

PURPOSE: To evaluate cataract surgery complexity and complications among US Medicare beneficiaries with and without dementia. DESIGN: Retrospective claims-based cohort study. PARTICIPANTS: A 20% representative sample of Medicare beneficiaries, 2006-2015. METHODS: Dementia was identified from diagnosis codes on or prior to each beneficiary's first-eye cataract surgery. For each surgery, we identified setting, routine vs complex coding, anesthesia provider type, duration, and any postoperative hospitalization. We evaluated 30- and 90-day complication rates-return to operating room, endophthalmitis, suprachoroidal hemorrhage, retinal detachment, retinal tear, macular edema, glaucoma, or choroidal detachment-and used adjusted regression models to evaluate likelihood of surgical characteristics and complications. Complication analyses were stratified by second-eye cataract surgery within 90 days postoperatively. RESULTS: We identified 457,128 beneficiaries undergoing first-eye cataract surgery, 23,332 (5.1%) with dementia. None of the evaluated surgical complications were more likely in dementia-diagnosed beneficiaries. There was also no difference in likelihood of nonambulatory surgery center setting, anesthesiologist provider, or postoperative hospitalization. Dementia-diagnosed beneficiaries were more likely to have surgeries coded as complex (15.6% of cases vs 8.8%, P < .0001), and surgeries exceeding 30 minutes (OR = 1.21, 95% CI = 1.17-1.25). CONCLUSIONS: Among US Medicare beneficiaries undergoing cataract surgery, those with dementia are more likely to have "complex" surgery" lasting more than 30 minutes. However, they do not have greater likelihood of surgical complications, higher-acuity setting, advanced anesthesia care, or postoperative hospitalization. This may be influenced by case selection and may suggest missed opportunities to improve vision. Future research is needed to identify dementia patients likely to benefit from cataract surgery.

Early Osia® 2 bone conduction hearing implant experience: Nationwide controlled-market release data and single-center outcomes.

PURPOSE: Bone conduction hearing devices are a well-established treatment option for conductive or mixed hearing losses as well as single-sided deafness. The Osia® 2 System is an active osseointegrated device where a surgically implanted titanium fixture supports a newly developed piezoelectric actuator that is placed under the skin. METHODS: Nationwide data collected during a controlled-market release (CMR) of the Cochlear™ Osia® 2 System as well as outcomes at single, tertiary-level private practice Otology/Neurotology center were retrospectively reviewed. Key learnings from surgeons and audiologists are discussed. RESULTS: During the CMR period, 23 surgeons performed 44 operations on 43 recipients. The mean age of recipients was 44 years and mean surgery duration was 52 min. The most commonly used incision was postauricular but anterior to the device (78%). Five complications were observed during the CMR, none of which were device related. Twenty-one audiologists performed 33 Osia® 2 activations during the CMR. The mean age of this group was 47 years, and the mean duration of each activation appointment was 55 min. Single-center data at the authors' institution demonstrated an average additional PTA4 gain with the Osia® 2 patients of 9.6 dB compared to Baha Attract and 10.2 dB compared to Baha Connect. CONCLUSION: The Cochlear™ Osia® 2 System represents a significant advance in auditory osseointegrated implant technology. Digital piezoelectric stimulation delivers high power outputs, improves high frequency gain for optimal speech perception, and maintains safety while providing excellent patient satisfaction.

OrderRex clinical user testing: a randomized trial of recommender system decision support on simulated cases.

OBJECTIVE: To assess usability and usefulness of a machine learning-based order recommender system applied to simulated clinical cases. MATERIALS AND METHODS: 43 physicians entered orders for 5 simulated clinical cases using a clinical order entry interface with or without access to a previously developed automated order recommender system. Cases were randomly allocated to the recommender system in a 3:2 ratio. A panel of clinicians scored whether the orders placed were clinically appropriate. Our primary outcome included the difference in clinical appropriateness scores. Secondary outcomes included total number of orders, case time, and survey responses. RESULTS: Clinical appropriateness scores per order were comparable for cases randomized to the order recommender system (mean difference -0.11 order per score, 95% CI: [-0.41, 0.20]). Physicians using the recommender placed more orders (median 16 vs 15 orders, incidence rate ratio 1.09, 95%CI: [1.01-1.17]). Case times were comparable with the recommender system. Order suggestions generated from the recommender system were more likely to match physician needs than standard manual search options. Physicians used recommender suggestions in 98% of available cases. Approximately 95% of participants agreed the system would be useful for their workflows. DISCUSSION: User testing with a simulated electronic medical record interface can assess the value of machine learning and clinical decision support tools for clinician usability and acceptance before live deployments. CONCLUSIONS: Clinicians can use and accept machine learned clinical order recommendations integrated into an electronic order entry interface in a simulated setting. The clinical appropriateness of orders entered was comparable even when supported by automated recommendations.

Investigating the efficacy of a self-directed parenting intervention to reduce risky behaviors among college students: Study protocol for a multi-arm hybrid type 2 randomized control trial.

BACKGROUND: Early adulthood is a critical developmental period when many youth transition from living at home to the relative autonomy of college. This transition results in increased opportunity for positive growth and identity development - and for risky substance use and sexual behaviors. Parents continue to influence young adult behavior even from a distance; however, few studies have rigorously tested parent-college student interventions. METHODS: This multi-arm hybrid type 2 trial tests the short- and long-term efficacy of a self-directed handbook for parents of first-year college students. In the summer before college, parent-student dyads are randomly assigned to one of three conditions: control, Parent Handbook, or Parent Handbook Plus. Handbook parents receive encouragement via phone calls to read the handbook and complete activities with their student before leaving for college. Handbook Plus parents also receive booster messages targeted at risky or stressful times. Participants complete surveys of intervention-targeted knowledge, attitudes, and behaviors at baseline and four months after baseline. Students complete three additional surveys at nine, 16, and 21 months after baseline. Dyads in the intervention conditions also reported on handbook utilization, perceived usefulness, and engagement with intervention materials. DISCUSSION: Self-directed family interventions may be a feasible strategy for involving parents of college students. This trial aimed to determine: 1) the efficacy of a self-directed handbook intervention for parents of first-year college students, including whether the addition of periodic booster messages enhanced efficacy; and 2) how variations in handbook utilization, perceived usefulness, and engagement were linked to student outcomes.

Life expectancy estimates for patients diagnosed with prostate cancer in the Veterans Health Administration.

PURPOSE: Accurate life expectancy estimates are required to inform prostate cancer treatment decisions. However, few models are specific to the population served or easily implemented in a clinical setting. We sought to create life expectancy estimates specific to Veterans diagnosed with prostate cancer. MATERIALS AND METHODS: Using national Veterans Health Administration electronic health records, we identified Veterans diagnosed with prostate cancer between 2000 and 2015. We abstracted demographics, comorbidities, oncologic staging, and treatment information. We fit Cox Proportional Hazards models to determine the impact of age, comorbidity, cancer risk, and race on survival. We stratified life expectancy estimates by age, comorbidity and cancer stage. RESULTS: Our analytic cohort included 145,678 patients. Survival modeling demonstrated the importance of age and comorbidity across all cancer risk categories. Life expectancy estimates generated from age and comorbidity data were predictive of overall survival (C-index 0.676, 95% CI 0.674-0.679) and visualized using Kaplan-Meier plots and heatmaps stratified by age and comorbidity. Separate life expectancy estimates were generated for patients with localized or advanced disease. These life expectancy estimates calibrate well across prostate cancer risk categories. CONCLUSIONS: Life expectancy estimates are essential to providing patient-centered prostate cancer care. We developed accessible life expectancy estimation tools for Veterans diagnosed with prostate cancer that can be used in routine clinical practice to inform medical-decision making.

Physician Usage and Acceptance of a Machine Learning Recommender System for Simulated Clinical Order Entry.

Clinical decision support tools that automatically disseminate patterns of clinical orders have the potential to improve patient care by reducing errors of omission and streamlining physician workflows. However, it is unknown if physicians will accept such tools or how their behavior will be affected. In this randomized controlled study, we exposed 34 licensed physicians to a clinical order entry interface and five simulated emergency cases, with randomized availability of a previously developed clinical order recommender system. With the recommender available, physicians spent similar time per case (6.7 minutes), but placed more total orders (17.1 vs. 15.8). The recommender demonstrated superior recall (59% vs 41%) and precision (25% vs 17%) compared to manual search results, and was positively received by physicians recognizing workflow benefits. Further studies must assess the potential clinical impact towards a future where electronic health records automatically anticipate clinical needs.