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In addition to conducting new and established visits remotely, telemedicine allows risk assessments, avoidance of hospitalization, family education, psychosocial care, and improved pharmacy support. The implementation has limitations including technical complexity; increased burden on patients and staff; and broadband access, particularly in rural communities. For telemedicine to improve as a solution to enhance the longitudinal care of patients with cancer, payment coverage policies need to continue after the pandemic, technologic adoption needs to be easy for patients, and broadband access in rural areas needs to be a policy priority. Further research to optimize the patient and clinician experience is required to continue to make progress.Traditionally, risk-adjustment models do not address the characteristics of minority populations, such as race or socioeconomic status. This study aimed to evaluate the added value of place-based social determinants on risk-adjustment models in explaining health care costs and utilization. Statewide commercial claims from the Maryland Medical Care Database were used, including 1,150,984 Maryland residents aged 18 to 63 with ≥6 months enrollment in 2013 and 2014. Area Deprivation Index (ADI) was assigned to individuals through zip code. The authors examined the addition of ADI to predictive models of concurrent and prospective costs and utilization; linear regression was adopted for costs and logistic regression for utilization markers. Performance measures included R2 for costs (total, pharmacy, and medical costs) and the area under the curve (AUC) for utilization (being top 5% top users, having any hospitalization, having any emergency room [ER] visit, having any avoidable ER visit, and having any readmission). All performance measures were derived from the bootstrapping analysis with 200 iterations. Study subjects were ∼48% male with a mean age of ∼41 years. Adding ADI to the demographics or claims-based models generally did not improve performance except in predicting the probability of having any ER or any avoidable ER visit; for example, AUC of avoidable ER visits increased significantly from .610 to .613 when using ADI rank deciles in claims-based models. Future research should focus on patients with a higher need for social services, assess more granular place-based determinants (eg, Census block group), and evaluate the added value of individual social variables.

Venous thromboembolism (VTE) is a major cause of cardiovascular morbidity and mortality and has a known genetic contribution. We tested the performance of a genetic risk score for its ability to predict VTE in 3 cohorts of patients with cardiometabolic disease.

We included patients from the FOURIER (Further Cardiovascular Outcomes Research With PCSK9 Inhibition in Patients With Elevated Risk), PEGASUS-TIMI 54 (Prevention of Cardiovascular Events in Patients With Prior Heart Attack Using Ticagrelor Compared to Placebo on a Background of Aspirin), and SAVOR-TIMI 53 (Saxagliptin Assessment of Vascular Outcomes Recorded in Patients with Diabetes Mellitus) trials (history of a major atherosclerotic cardiovascular event, myocardial infarction, and diabetes, respectively) who consented for genetic testing and were not on baseline anticoagulation. We calculated a VTE genetic risk score based on 297 single nucleotide polymorphisms with established genome-wide significance. Patients were divided into tertiles of geiometabolic disease, a polygenic risk score is a strong, independent predictor of VTE after accounting for available clinical risk factors, identifying 1/3 of patients who have a risk of VTE comparable to that seen with established monogenic thrombophilia.

In a broad spectrum of patients with cardiometabolic disease, a polygenic risk score is a strong, independent predictor of VTE after accounting for available clinical risk factors, identifying 1/3 of patients who have a risk of VTE comparable to that seen with established monogenic thrombophilia.Background Mycotic aneurysms (MAs) are relatively rare but life-threatening. Some recent reports have described the use of endovascular therapy for their treatment; however, this still is a controversial treatment, and a definite target population has not been determined. Methods We performed surgery on 34 patients with MAs from March 2005 to March 2019. Twenty patients who underwent open surgery (OS) first comprised the OS group, and 14 patients who underwent endovascular therapy first comprised the stent-graft (SG) group. We analyzed between-group differences, long-term outcomes, and risk factors for death retrospectively. Patients in the OS group had a higher initial white blood cell count than those in the SG group (p = 0.047). The SG group had more patients with a low albumin concentration (≤2.0 mg/dL) than did the OS group (p = 0.026). Results There were no significant differences in the operative mortality rates between the groups (p = 0.773). Additional procedures were required more often in the SG than the OS group (p = 0.0013). The overall survival rate as estimated by the Kaplan-Meier method was 88% at 1 month, 67% at 1 year, 57% at 3 years, and 45% at 10 years. In the univariable analysis, chronic obstructive pulmonary disease (COPD) was a risk factor for death (p = 0.003). Conclusions Endovascular therapy for MAs produced reasonable outcomes when patient selection was based on the activity level, nutritional condition, and degree of inflammation. BAY 2731954 Endovascular therapy may become an option for patients with a low albumin concentration or COPD despite the fact that additional procedures may be needed.Purpose Pathological worry is a major feature of anxiety in the peripartum, and we sought to examine the factor structure, validity, and reliability in the peripartum of a scale used to measure worry in the general population (the Penn State Worry Questionnaire, PSWQ). Materials and Methods Pregnant/postpartum women (N = 295) were followed at up to six visits, which included completion of the PSWQ and other psychological scales. Principal components analysis, descriptive statistics, paired t-tests, chi-square tests, and mixed linear regression models were used to evaluate scale reliability and validity. Results Most participants (63%) reported a history of a mood disorder, 40% an anxiety disorder, and 18% both. Mean PSWQ score at entry was 47.19 (of a possible 80). PSWQ scores were positively correlated with conceptually related measures (correlations 0.55-0.76, all p  less then  0.001), and were most closely aligned with the TRAIT scale of Spielberg State-Trait Anxiety Scale. Participants with a history of any mood or anxiety disorder had significantly higher worry scores (ts range = 3.

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