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1.
J Vasc Surg ; 2024 Jun 20.
Article in English | MEDLINE | ID: mdl-38908807

ABSTRACT

OBJECTIVE: Controversy exists regarding the value and limitations of different sites of service for peripheral artery disease treatment. We aimed to examine practice patterns associated with peripheral vascular interventions (PVIs) performed in the office-based laboratory (OBL) vs outpatient hospital site of service using a nationally representative database. METHODS: Using 100% Medicare fee-for-service claims data, we identified all patients undergoing PVI for claudication or chronic limb-threatening ischemia (CLTI) between January 2017 and December 2022. We evaluated the associations of patient and procedure characteristics with site of service using multivariable hierarchical logistic regression. We used multinomial regression models to estimate the relative risk ratios (RRRs) of site of service and intervention type (angioplasty, stent, or atherectomy) and intervention anatomic level (iliac, femoropopliteal, or tibial) after adjusting for baseline patient characteristics and clustering by physician. RESULTS: Of 848,526 PVI, 485,942 (57.3%) were performed in an OBL. OBL use increased significantly over time from 48.3% in 2017 to 65.5% in 2022 (P < .001). Patients treated in OBLs were more likely to be Black (adjusted odds ratio [aOR], 1.14; 95% confidence interval [CI], 1.11-1.18) or other non-White race (aOR, 1.13; 95% CI, 1.08-1.18), have fewer comorbidities, and undergo treatment for claudication vs CLTI (aOR, 1.30; 95% CI, 1.26-1.33) compared with patients treated in outpatient hospital settings. Physicians with majority practice (>50% procedures) in an OBL were more likely to practice in urban settings (aOR, 21.58; 95% CI, 9.31-50.02), specialize in radiology (aOR, 18.15; 95% CI, 8.92- 36.92), and have high-volume PVI practices (aOR, 2.15; 95% CI, 2.10-2.29). The median time from diagnosis to treatment was shorter in OBLs, particularly for patients with CLTI (29 vs 39 days; P < .001). The OBL setting was the strongest predictor of patients receiving an atherectomy alone (adjusted RRR [aRRR] 6.67; 95% CI, 6.59-6.76) or atherectomy + stent (aRRR, 10.84; 95% CI, 10.64-11.05), and these findings were consistent in subgroup analyses stratified by PVI indication. The OBL setting was also associated with higher risk of tibial interventions for both claudication (aRRR, 3.18; 95% CI, 3.11-3.25) and CLTI (aRRR, 1.89; 95% CI, 1.86-1.92). The average reimbursement (including professional and facility fees) was slightly higher for OBLs compared with the hospital ($8742/case vs $8459/case; P < .001). However, in a simulated cohort resetting the OBL's intervention type distribution to that of the hospital, OBLs were associated with a hypothetical cost savings of $221,219,803 overall and $2602 per case. CONCLUSIONS: The OBL site of service was associated with greater access to care for non-White patients and a shorter time from diagnosis to treatment, but more frequently performed high-cost interventions compared with the outpatient hospital setting. The benefit to patients from improved access to peripheral artery disease care in OBL settings must be balanced with the potential limitations of receiving differential care.

2.
JCO Clin Cancer Inform ; 6: e2100137, 2022 01.
Article in English | MEDLINE | ID: mdl-34985914

ABSTRACT

PURPOSE: Collecting patient-reported outcomes (PROs) can improve symptom control and quality of life, enhance doctor-patient communication, and reduce acute care needs for patients with cancer. Digital solutions facilitate PRO collection, but without robust electronic health record (EHR) integration, effective deployment can be hampered by low patient and clinician engagement and high development and deployment costs. The important components of digital PRO platforms have been defined, but procedures for implementing integrated solutions are not readily available. METHODS: As part of the NCI's IMPACT consortium, six health care systems partnered with Epic to develop an EHR-integrated, PRO-based electronic symptom management program (eSyM) to optimize postoperative recovery and well-being during chemotherapy. The agile development process incorporated user-centered design principles that required engagement from patients, clinicians, and health care systems. Whenever possible, the system used validated content from the public domain and took advantage of existing EHR capabilities to automate processes. RESULTS: eSyM includes symptom surveys on the basis of the PRO-Common Terminology Criteria for Adverse Events (PRO-CTCAE) plus two global wellness questions; reminders and symptom self-management tip sheets for patients; alerts and symptom reports for clinicians; and population management dashboards. EHR dependencies include a secure Health Insurance Portability and Accountability Act-compliant patient portal; diagnosis, procedure and chemotherapy treatment plan data; registries that identify and track target populations; and the ability to create reminders, alerts, reports, dashboards, and charting shortcuts. CONCLUSION: eSyM incorporates validated content and leverages existing EHR capabilities. Build challenges include the innate technical limitations of the EHR, the constrained availability of site technical resources, and sites' heterogenous EHR configurations and policies. Integration of PRO-based symptom management programs into the EHR could help overcome adoption barriers, consolidate clinical workflows, and foster scalability and sustainability. We intend to make eSyM available to all Epic users.


Subject(s)
Electronic Health Records , Neoplasms , Electronics , Humans , Neoplasms/diagnosis , Neoplasms/therapy , Patient Reported Outcome Measures , Quality of Life
3.
Cancer ; 127(15): 2801-2806, 2021 08 01.
Article in English | MEDLINE | ID: mdl-33858029

ABSTRACT

BACKGROUND: To identify additional at-risk groups for lung cancer screening, which targets persons with a long history of smoking and thereby misses younger or nonsmoking cases, the authors evaluated germline pathogenic variants (PVs) in patients with lung adenocarcinoma for an association with an accelerated onset. METHODS: The authors assembled a retrospective cohort (1999-2018) of oncogenetic clinic patients with lung adenocarcinoma. Eligibility required a family history of cancer, data on smoking, and a germline biospecimen to screen via a multigene panel. Germline PVs (TP53/EGFR, BRCA2, other Fanconi anemia [FA] pathway genes, and non-FA DNA repair genes) were interrogated for associations with the age at diagnosis via an accelerated failure time model. RESULTS: Subjects (n = 187; age, 28-89 years; female, 72.7%; Hispanic, 11.8%) included smokers (minimum of 5 pack-years; n = 65) and nonsmokers (lighter ever smokers [n = 18] and never smokers [n = 104]). Overall, 26.7% of the subjects carried 1 to 2 germline PVs: TP53 (n = 5), EGFR (n = 2), BRCA2 (n = 6), another FA gene (n = 11), or another DNA repair gene (n = 28). After adjustment for smoking, sex, and ethnicity, the diagnosis of lung adenocarcinoma was accelerated 12.2 years (95% confidence interval [CI], 2.5-20.6 years) by BRCA2 PVs, 9.0 years (95% CI, 0.5-16.5 years) by TP53/EGFR PVs, and 6.1 years (95% CI, -1.0 to 12.6 years) by PVs in other FA genes. PVs in other DNA repair genes showed no association. Germline associations did not vary by smoking. CONCLUSIONS: Among lung adenocarcinoma cases, germline PVs (TP53, EGFR, BRCA2, and possibly other FA genes) may be associated with an earlier onset. With further study, the criteria for lung cancer screening may need to include carriers of high-risk PVs, and findings could influence precision therapy and reduce lung cancer mortality by earlier stage diagnosis.


Subject(s)
Adenocarcinoma of Lung , Lung Neoplasms , Adenocarcinoma of Lung/genetics , Adult , Age of Onset , Aged , Aged, 80 and over , Early Detection of Cancer , Female , Genetic Predisposition to Disease , Germ-Line Mutation , Humans , Lung Neoplasms/epidemiology , Lung Neoplasms/genetics , Middle Aged , Retrospective Studies
4.
Nat Commun ; 11(1): 5573, 2020 11 04.
Article in English | MEDLINE | ID: mdl-33149122

ABSTRACT

Non-coding mutations can create splice sites, however the true extent of how such somatic non-coding mutations affect RNA splicing are largely unexplored. Here we use the MiSplice pipeline to analyze 783 cancer cases with WGS data and 9494 cases with WES data, discovering 562 non-coding mutations that lead to splicing alterations. Notably, most of these mutations create new exons. Introns associated with new exon creation are significantly larger than the genome-wide average intron size. We find that some mutation-induced splicing alterations are located in genes important in tumorigenesis (ATRX, BCOR, CDKN2B, MAP3K1, MAP3K4, MDM2, SMAD4, STK11, TP53 etc.), often leading to truncated proteins and affecting gene expression. The pattern emerging from these exon-creating mutations suggests that splice sites created by non-coding mutations interact with pre-existing potential splice sites that originally lacked a suitable splicing pair to induce new exon formation. Our study suggests the importance of investigating biological and clinical consequences of noncoding splice-inducing mutations that were previously neglected by conventional annotation pipelines. MiSplice will be useful for automatically annotating the splicing impact of coding and non-coding mutations in future large-scale analyses.


Subject(s)
Neoplasms/genetics , RNA Precursors/genetics , RNA Splice Sites , RNA Splicing , AMP-Activated Protein Kinase Kinases , Cyclin-Dependent Kinase Inhibitor p15/genetics , Cyclin-Dependent Kinase Inhibitor p15/metabolism , Databases, Genetic , Exons , Gene Expression Regulation, Neoplastic/genetics , Humans , Introns , MAP Kinase Kinase Kinase 1/genetics , MAP Kinase Kinase Kinase 1/metabolism , MAP Kinase Kinase Kinase 4/genetics , MAP Kinase Kinase Kinase 4/metabolism , Mutation , Neoplasms/metabolism , Protein Serine-Threonine Kinases/genetics , Protein Serine-Threonine Kinases/metabolism , Proto-Oncogene Proteins/genetics , Proto-Oncogene Proteins/metabolism , Proto-Oncogene Proteins c-mdm2/genetics , Proto-Oncogene Proteins c-mdm2/metabolism , RNA, Untranslated , RNA-Seq , Repressor Proteins/genetics , Repressor Proteins/metabolism , Smad4 Protein/genetics , Smad4 Protein/metabolism , Tumor Suppressor Protein p53/genetics , Tumor Suppressor Protein p53/metabolism , Exome Sequencing , X-linked Nuclear Protein/genetics , X-linked Nuclear Protein/metabolism
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