1
|
Patel S, Walsh J, Pinnell D, Pei S, Chen W, Rojas J, Rathod A, Johnson J, Gawron A, Curtis JR, Baker JF, Cannon GW, Wu D, Lai M, Sauer BC. Real-world experience with biosimilar infliximab-adba and infliximab-dyyb among infliximab-naïve patients with inflammatory bowel disease in the Veterans Health Administration. Medicine (Baltimore) 2024; 103:e39476. [PMID: 39287304 PMCID: PMC11404896 DOI: 10.1097/md.0000000000039476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 07/17/2024] [Accepted: 08/07/2024] [Indexed: 09/19/2024] Open
Abstract
The Veterans Health Administration (VHA) listed the infliximab (IFX) biosimilar, IFX-dyyb (Inflectra), on the Veterans Affairs National Formulary (VANF) in May 2017. In September 2018, biosimilar IFX-abda (Renflexis) became the VANF IFX product. The recommended formulary changes from one IFX biosimilar to another provided a unique opportunity to study IFX utilization patterns in IFX-naïve Veterans with Inflammatory Bowel Disease (IBD). This study aimed to describe IFX and healthcare utilization during the 365 days after initiation with IFX reference product (RP) or biosimilars IFX-dyyb and IFX-adba. This descriptive study was performed using the VHA Corporate Data Warehouse. All Veterans initiated on IFX-RP (Remicade) or biosimilars IFX-dyyb and IFX-adba between September 1, 2016 and December 30, 2019 were included and followed for 365 days. Veterans enrolled in the VHA for at least 365 days with no evidence of IFX before their index date were considered IFX-naïve. Continuous data on IFX use, laboratory measurements, and healthcare utilization were reported with means, 95% confidence interval (CI), medians, and interquartile ranges. Frequency, proportions, and 95% CIs were presented for categorical variables. Statistical tests included ANOVA and Kruskal-Wallis for continuous outcomes, Poisson regression for count-based outcomes (i.e., healthcare utilization visits), and Chi-square for dichotomous outcomes. The study identified 1763 IFX-naïve patients with IBD, and 785, 441, and 537 was indexed to RP, IFX-dyyb, and IFX-adba, respectively. Statistical differences were observed in IFX utilization measures related to dosing, adherence, and persistence. The proportion of days covered (PDC) during the 365-day follow-up period varied among the IFX groups: IFX-RP at 66%, IFX-dyyb at 60%, and IFX-abda at 69% (P value < .001). Persistence with the index IFX product during the 365-day follow-up period also varied: IFX-RP at 43%, IFX-dyyb at 32%, and IFX-abda at 51% (P value < .001). Healthcare utilization and laboratory findings were similar among the IFX groups. IFX utilization and laboratory patterns were clinically similar among the IFX biosimilars and RP groups, suggesting that providers did not modify their practice with biosimilars. Statistically significant differences in IFX utilization patterns are explained by formulary dynamics when the VANF product switched from IFX-dyyb to IFX-abda.
Collapse
Affiliation(s)
- Shardool Patel
- Salt Lake City Veterans Affairs Medical Center and Department of Internal Medicine, University of Utah, Salt Lake City, UT
| | - Jessica Walsh
- Salt Lake City Veterans Affairs Medical Center and Department of Internal Medicine, University of Utah, Salt Lake City, UT
| | - Derek Pinnell
- Salt Lake City Veterans Affairs Medical Center and Department of Internal Medicine, University of Utah, Salt Lake City, UT
| | - Shaobo Pei
- Salt Lake City Veterans Affairs Medical Center and Department of Internal Medicine, University of Utah, Salt Lake City, UT
| | - Wei Chen
- Salt Lake City Veterans Affairs Medical Center and Department of Internal Medicine, University of Utah, Salt Lake City, UT
| | - Jorge Rojas
- Puget Sound Veterans Affairs Medical Center, Seattle, WA
- Department of Internal Medicine, University of Utah, Salt Lake City, UT
| | - Anitha Rathod
- Salt Lake City Veterans Affairs Medical Center and Department of Internal Medicine, University of Utah, Salt Lake City, UT
| | - Jessica Johnson
- Salt Lake City Veterans Affairs Medical Center and Department of Internal Medicine, University of Utah, Salt Lake City, UT
| | - Andrew Gawron
- Salt Lake City Veterans Affairs Medical Center and Department of Internal Medicine, University of Utah, Salt Lake City, UT
| | - Jeffrey R. Curtis
- Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, AL
| | - Joshua F. Baker
- Corporal Michael J. Crescenz VA Medical Center and School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Grant W. Cannon
- Salt Lake City Veterans Affairs Medical Center and Department of Internal Medicine, University of Utah, Salt Lake City, UT
| | - David Wu
- Merck and Company, Inc, Rahway, NJ
| | - Miao Lai
- Salt Lake City Veterans Affairs Medical Center and Department of Internal Medicine, University of Utah, Salt Lake City, UT
| | - Brian C. Sauer
- Salt Lake City Veterans Affairs Medical Center and Department of Internal Medicine, University of Utah, Salt Lake City, UT
| |
Collapse
|
2
|
Slatore CG, Hooker ER, Shull S, Golden SE, Melzer AC. Association of patient and health care organization factors with incidental nodule guidelines adherence: A multi-system observational study. Lung Cancer 2024; 190:107526. [PMID: 38452601 PMCID: PMC10999337 DOI: 10.1016/j.lungcan.2024.107526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 02/01/2024] [Accepted: 02/26/2024] [Indexed: 03/09/2024]
Abstract
BACKGROUND Health care organizations are increasingly developing systems to ensure patients with pulmonary nodules receive guideline-adherent care. Our goal was to determine patient and organization factors that are associated with radiologist adherence as well as clinician and patient concordance to 2005 Fleischner Society guidelines for incidental pulmonary nodule follow-up. MATERIALS Trained researchers abstracted data from the electronic health record from two Veterans Affairs health care systems for patients with incidental pulmonary nodules as identified by interpreting radiologists from 2008 to 2016. METHODS We classified radiology reports and patient follow-up into two categories. Radiologist-Fleischner Adherence was the agreement between the radiologist's recommendation in the computed tomography report and the 2005 Fleischner Society guidelines. Clinician/Patient-Fleischner Concordance was agreement between patient follow-up and the guidelines. We calculated multivariable-adjusted predicted probabilities for factors associated with Radiologist-Fleischner Adherence and Clinician/Patient-Fleischner Concordance. RESULTS Among 3150 patients, 69% of radiologist recommendations were adherent to 2005 Fleischner guidelines, 4% were more aggressive, and 27% recommended less aggressive follow-up. Overall, only 48% of patients underwent follow-up concordant with 2005 Fleischner Society guidelines, 37% had less aggressive follow-up, and 15% had more aggressive follow-up. Radiologist-Fleischner Adherence was associated with Clinician/Patient-Fleischner Concordance with evidence for effect modification by health care system. CONCLUSION Clinicians and patients seem to follow radiologists' recommendations but often do not obtain concordant follow-up, likely due to downstream differential processes in each health care system. Health care organizations need to develop comprehensive and rigorous tools to ensure high levels of appropriate follow-up for patients with pulmonary nodules.
Collapse
Affiliation(s)
- Christopher G Slatore
- Center to Improve Veteran Involvement in Care, VA Portland Health Care System, 3710 SW US Veterans Hospital Rd, Portland, OR 97239, USA; Section of Pulmonary & Critical Care Medicine, VA Portland Health Care System, 3710 SW US Veterans Hospital Rd, Portland, OR 97239, USA; Division of Pulmonary & Critical Care Medicine, Department of Medicine, and Department of Radiation Medicine, Knight Cancer Institute, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd, Portland, OR 97239, USA.
| | - Elizabeth R Hooker
- Center to Improve Veteran Involvement in Care, VA Portland Health Care System, 3710 SW US Veterans Hospital Rd, Portland, OR 97239, USA
| | - Sarah Shull
- Center to Improve Veteran Involvement in Care, VA Portland Health Care System, 3710 SW US Veterans Hospital Rd, Portland, OR 97239, USA
| | - Sara E Golden
- Center to Improve Veteran Involvement in Care, VA Portland Health Care System, 3710 SW US Veterans Hospital Rd, Portland, OR 97239, USA
| | - Anne C Melzer
- Section of Pulmonary & Critical Care Medicine, VA Minneapolis Health Care System, 1 Veterans Dr, Minneapolis, MN 55417, USA
| |
Collapse
|
3
|
Edwards DM, Sankar K, Alseri A, Jiang R, Schipper M, Miller S, Dess K, Strohbehn GW, Elliott DA, Moghanaki D, Ramnath N, Green MD, Bryant AK. Pneumonitis After Chemoradiotherapy and Adjuvant Durvalumab in Stage III Non-Small Cell Lung Cancer. Int J Radiat Oncol Biol Phys 2024; 118:963-970. [PMID: 37793573 DOI: 10.1016/j.ijrobp.2023.09.050] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Revised: 09/23/2023] [Accepted: 09/26/2023] [Indexed: 10/06/2023]
Abstract
PURPOSE Adjuvant durvalumab after definitive chemoradiotherapy (CRT) for unresectable stage III non-small cell lung cancer (NSCLC) is well-tolerated in clinical trials. However, pneumonitis rates outside of clinical trials remain poorly defined with CRT followed by durvalumab. We aimed to describe the influence of durvalumab on pneumonitis rates among a large cohort of patients with stage III NSCLC. METHODS AND MATERIALS We studied patients with stage III NSCLC in the national Veterans Health Administration from 2015 to 2021 who received concurrent CRT alone or with adjuvant durvalumab. We defined pneumonitis as worsening respiratory symptoms with radiographic changes within 2 years of CRT and graded events according to National Cancer Institute Common Terminology Criteria for Adverse Events version 4.03. We used Cox regression to analyze risk factors for pneumonitis and the effect of postbaseline pneumonitis on overall survival. RESULTS Among 1994 patients (989 CRT alone, 1005 CRT followed by adjuvant durvalumab), the 2-year incidence of grade 2 or higher pneumonitis was 13.9% for CRT alone versus 22.1% for CRT plus durvalumab (unadjusted P < .001). On multivariable analysis, durvalumab was associated with higher risk of grade 2 pneumonitis (hazard ratio, 1.45; 95% CI, 1.09-1.93; P = .012) but not grade 3 to 5 pneumonitis (P = .2). Grade 3 pneumonitis conferred worse overall survival (hazard ratio, 2.51; 95% CI, 2.06-3.05; P < .001) but grade 2 pneumonitis did not (P = .4). CONCLUSIONS Adjuvant durvalumab use was associated with increased risk of low-grade but not higher-grade pneumonitis. Reassuringly, low-grade pneumonitis did not increase mortality risk. We observed increased rates of high-grade pneumonitis relative to clinical trials; the reasons for this require further study.
Collapse
Affiliation(s)
- Donna M Edwards
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan
| | - Kamya Sankar
- Department of Medicine, Division of Medical Oncology, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Aaren Alseri
- Department of Radiology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan
| | - Ralph Jiang
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - Matthew Schipper
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - Sean Miller
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan
| | - Kathryn Dess
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan
| | - Garth W Strohbehn
- Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan; Department of Medicine, Division of Hematology Oncology, University of Michigan, Ann Arbor, Michigan; Department of Medicine, Division of Hematology Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan; VA Center for Clinical Management Research, Ann Arbor, Michigan
| | - David A Elliott
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan; Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan
| | - Drew Moghanaki
- Department of Radiation Oncology, UCLA Jonsson Cancer Center, Los Angeles, California; Department of Radiation Oncology, Veterans Affairs Los Angeles Healthcare System, Los Angeles, California
| | - Nithya Ramnath
- Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan; Department of Medicine, Division of Hematology Oncology, University of Michigan, Ann Arbor, Michigan; Department of Medicine, Division of Hematology Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan
| | - Michael D Green
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan; Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan; Department of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan
| | - Alex K Bryant
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan.
| |
Collapse
|
4
|
Ebrahimi R, Dennis PA, Alvarez CA, Shroyer AL, Beckham JC, Sumner JA. Posttraumatic Stress Disorder Is Associated With Elevated Risk of Incident Stroke and Transient Ischemic Attack in Women Veterans. J Am Heart Assoc 2024; 13:e033032. [PMID: 38410963 PMCID: PMC10944021 DOI: 10.1161/jaha.123.033032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Accepted: 02/06/2024] [Indexed: 02/28/2024]
Abstract
BACKGROUND Posttraumatic stress disorder (PTSD) has been associated with ischemic heart disease in women veterans, but evidence for associations with other cardiovascular disorders remains limited in this population. This retrospective longitudinal cohort study evaluated the association of PTSD with incident stroke/transient ischemic attack (TIA) in women veterans. METHODS AND RESULTS Veterans Health Administration electronic health records were used to identify women veterans aged ≥18 years engaged with Veterans Health Administration health care from January 1, 2000 to December 31, 2019. We identified women veterans with and without PTSD without a history of stroke or TIA at start of follow-up. Propensity score matching was used to match groups on age, race or ethnicity, traditional cardiovascular risk factors, female-specific risk factors, a range of mental and physical health conditions, and number of prior health care visits. PTSD, stroke, TIA, and risk factors used in propensity score matching were based on diagnostic codes. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% CIs for associations of PTSD with an incident stroke/TIA composite. Subanalyses considered stroke and TIA separately, plus age- and race- or ethnicity-stratified analyses were carried out. The analytic sample included 208 092 women veterans (104 046 with and 104 046 without PTSD). PTSD was associated with a greater rate of developing stroke/TIA (HR, 1.33 [95% CI, 1.25-1.42], P<0.001). This elevated risk was especially pronounced in women <50 years old and in Hispanic/Latina women. CONCLUSIONS Findings indicate a strong association of PTSD with incident stroke/TIA in women veterans. Research is needed to determine whether addressing PTSD and its downstream consequences can offset this risk.
Collapse
Affiliation(s)
- Ramin Ebrahimi
- Department of MedicineUniversity of CaliforniaLos AngelesCAUSA
- Department of MedicineVeterans Affairs (VA) Greater Los Angeles Healthcare SystemLos AngelesCAUSA
| | - Paul A. Dennis
- Department of Population Health SciencesDuke University School of MedicineDurhamNCUSA
- Durham VA Medical CenterDurhamNCUSA
| | - Carlos A. Alvarez
- Department of Pharmacy PracticeTexas Tech University Health Science CenterLubbockTXUSA
- Department of ResearchVA North Texas Health Care SystemDallasTXUSA
| | - A. Laurie Shroyer
- Department of Surgery, Renaissance School of MedicineStony Brook UniversityStony BrookNYUSA
- Northport VA Medical CenterNorthportNYUSA
| | - Jean C. Beckham
- Durham VA Medical CenterDurhamNCUSA
- Department of Psychiatry and Behavioral SciencesDuke University School of MedicineDurhamNCUSA
| | | |
Collapse
|
5
|
Sun D, Basi J, Kreinbrook J, Mhaskar R, Leonelli F. Reliability of Electronic Health Records in Recording Veterans' Tobacco Use Status. Mil Med 2024; 189:e509-e514. [PMID: 37506175 DOI: 10.1093/milmed/usad290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Revised: 07/06/2023] [Accepted: 07/13/2023] [Indexed: 07/30/2023] Open
Abstract
INTRODUCTION The prevalence of tobacco use in the Veteran population and among Veterans Health Administration patients remains high, resulting in significant health and economic consequences. This problem has generated many tobacco research studies and clinical interventions, which often rely upon tobacco use status data previously recorded in electronic health records (EHR). Therefore, the consistency and reliability of these data are critical. The Veterans Health Administration uses an extensive EHR system where tobacco use status can be documented either as free text (FT) or as health factors (HF). The current literature assessing the reliability of HF and FT data is limited. This analysis evaluated the agreement between HF and FT tobacco use status data. MATERIALS AND METHODS This retrospective study included Veterans who underwent coronary revascularization and had tobacco use statuses recorded as both HF and FT. These statuses were categorized as "Current," "Former," or "Never." The closest recorded status to the index date (date of revascularization procedure) for each subject in both datasets was chosen, and Cohen's kappa statistic was calculated to measure the agreement between HF and FT. Implausible tobacco use status changes within each dataset were quantified to assess trustworthiness. Agreement between HF and FT data was first measured for all subjects (n = 1,095), which included those who had implausible status changes in either dataset and then measured again for subjects (n = 770) without any implausible status changes in either dataset. This study was exempt from institutional review board review. RESULTS Overall, 14.3% and 17.7% of all subjects had implausible tobacco use status changes in HF and FT data, respectively. For all subjects (n = 1,095), including those with implausible data, there was "moderate" agreement between HF and FT data (kappa = 0.49; 95% CI, 0.44-0.53). For subjects without implausible data (n = 770), the strength of agreement between HF and FT data was "good" (kappa = 0.64; 95% CI, 0.59-0.69). CONCLUSIONS Agreement between HF and FT data that document the tobacco use statuses of Veterans varied because of implausible data. HF data had fewer implausible tobacco use statuses, but FT data were recorded more frequently. Although HF and FT data can be reasonably relied upon to determine the tobacco use statuses of Veterans, researchers and clinicians must be aware of implausible data and consider methods to overcome this limitation. Future studies should investigate the ways of improving the consistency of EHR documentation by health care providers and benchmark HF and FT data against a gold standard like biochemical verification to determine accuracy.
Collapse
Affiliation(s)
- Daniel Sun
- Tampa VA Clinical Research and Education Center, James A. Haley Veterans' Hospital, Tampa, FL 33612, USA
- College of Public Health, University of South Florida, Tampa, FL 33612, USA
| | - Joseph Basi
- Tampa VA Clinical Research and Education Center, James A. Haley Veterans' Hospital, Tampa, FL 33612, USA
- Georgetown University School of Medicine, Georgetown University, Washington, DC 20057, USA
| | - Judah Kreinbrook
- Tampa VA Clinical Research and Education Center, James A. Haley Veterans' Hospital, Tampa, FL 33612, USA
- Duke University School of Medicine, Duke University, Durham, NC 27710, USA
| | - Rahul Mhaskar
- Office of Research, Morsani College of Medicine, University of South Florida, Tampa, FL 33602, USA
| | - Fabio Leonelli
- Tampa VA Clinical Research and Education Center, James A. Haley Veterans' Hospital, Tampa, FL 33612, USA
- Cardiology Department, James A. Haley Veterans' Hospital, University of South Florida, Tampa, FL 33612, USA
| |
Collapse
|
6
|
Haque MA, Gedara MLB, Nickel N, Turgeon M, Lix LM. The validity of electronic health data for measuring smoking status: a systematic review and meta-analysis. BMC Med Inform Decis Mak 2024; 24:33. [PMID: 38308231 PMCID: PMC10836023 DOI: 10.1186/s12911-024-02416-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 01/03/2024] [Indexed: 02/04/2024] Open
Abstract
BACKGROUND Smoking is a risk factor for many chronic diseases. Multiple smoking status ascertainment algorithms have been developed for population-based electronic health databases such as administrative databases and electronic medical records (EMRs). Evidence syntheses of algorithm validation studies have often focused on chronic diseases rather than risk factors. We conducted a systematic review and meta-analysis of smoking status ascertainment algorithms to describe the characteristics and validity of these algorithms. METHODS The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed. We searched articles published from 1990 to 2022 in EMBASE, MEDLINE, Scopus, and Web of Science with key terms such as validity, administrative data, electronic health records, smoking, and tobacco use. The extracted information, including article characteristics, algorithm characteristics, and validity measures, was descriptively analyzed. Sources of heterogeneity in validity measures were estimated using a meta-regression model. Risk of bias (ROB) in the reviewed articles was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. RESULTS The initial search yielded 2086 articles; 57 were selected for review and 116 algorithms were identified. Almost three-quarters (71.6%) of algorithms were based on EMR data. The algorithms were primarily constructed using diagnosis codes for smoking-related conditions, although prescription medication codes for smoking treatments were also adopted. About half of the algorithms were developed using machine-learning models. The pooled estimates of positive predictive value, sensitivity, and specificity were 0.843, 0.672, and 0.918 respectively. Algorithm sensitivity and specificity were highly variable and ranged from 3 to 100% and 36 to 100%, respectively. Model-based algorithms had significantly greater sensitivity (p = 0.006) than rule-based algorithms. Algorithms for EMR data had higher sensitivity than algorithms for administrative data (p = 0.001). The ROB was low in most of the articles (76.3%) that underwent the assessment. CONCLUSIONS Multiple algorithms using different data sources and methods have been proposed to ascertain smoking status in electronic health data. Many algorithms had low sensitivity and positive predictive value, but the data source influenced their validity. Algorithms based on machine-learning models for multiple linked data sources have improved validity.
Collapse
Affiliation(s)
- Md Ashiqul Haque
- Department of Community Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | | | - Nathan Nickel
- Department of Community Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Maxime Turgeon
- Department of Statistics, University of Manitoba, Winnipeg, MB, Canada
| | - Lisa M Lix
- Department of Community Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
| |
Collapse
|
7
|
Harris T, Panadero T, Hoffmann L, Montgomery AE, Tsai J, Gelberg L, Gabrielian S. Examining Homeless-Experienced Adults' Smoking Cessation Treatment Use Pre- and Post-Entry into Permanent Supportive Housing. SUBSTANCE USE : RESEARCH AND TREATMENT 2024; 18:29768357241271567. [PMID: 39398362 PMCID: PMC11468604 DOI: 10.1177/29768357241271567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 06/28/2024] [Indexed: 10/15/2024]
Abstract
Background Homeless-experienced adults smoke at rates 5 times that of the general adult population, and often have limited access to cessation treatments while homeless. Permanent Supportive Housing (PSH) can be a catalyst for cessation treatment utilization, yet little is known about use of these treatments following PSH entry, or how to tailor and implement cessation care that meets homeless-experienced adults' vulnerabilities. Methods Using Department of Veterans Affairs (VA) administrative data, we assessed smoking status (ie, current, former, non/never) among a cohort of homeless-experienced Veterans (HEVs) housed in Los Angeles-based PSH. We compared cessation treatment use rates (ie, nicotine replacement therapies, cessation medications, psychosocial counseling) pre- and post-housing using Chi-square tests. Predisposing (ie, demographics), enabling (eg, primary care, benefits), and need characteristics (ie, health, mental health, substance use diagnoses) were examined as correlates of cessation treatment utilization pre- and post-housing in univariable and multivariable logistic regression models. Results Across HEVs (N = 2933), 48.6% were identified as currently-smoking, 17.7% as formerly-smoking, and 14.0% as non/never smoking. Among currently- and formerly-smoking HEVs (n = 1944), rates of cessation treatment use post-housing were significantly lower, compared to pre-housing, across all treatment types. Health, mental health, and substance use was more prevalent among currently- and formerly-smoking HEVs compared to non/never-smoking HEVs, and most diagnoses were positively associated with utilization univariably. However, in multivariable models, cessation clinic referrals and primary care engagement were the only significant (P < .001) predictors of pre-housing and post-housing cessation treatment utilization. Conclusion Among HEVs, we found high smoking rates and low cessation treatment utilization pre- and post-PSH entry. Efforts to educate providers about this population's desire to quit smoking, support primary care engagement, and increase cessation clinic referrals may bolster their utilization. For homeless-experienced adults, optimizing cessation treatment accessibility by embedding cessation services within PSH and homeless service settings may reduce utilization impediments.
Collapse
Affiliation(s)
- Taylor Harris
- Department of Veterans Affairs, Center for the Study of Healthcare Innovation, Implementation and Policy, Greater Los Angeles, CA, USA
- Department of Veterans Affairs, Desert Pacific Mental Illness Research, Education, and Clinical Center, Greater Los Angeles, CA, USA
- Department of Family Medicine, David Geffen School of Medicine at Univeristy of California, Los Angeles (UCLA), USA
| | - Talia Panadero
- Department of Veterans Affairs, Center for the Study of Healthcare Innovation, Implementation and Policy, Greater Los Angeles, CA, USA
| | - Lauren Hoffmann
- Department of Veterans Affairs, Center for the Study of Healthcare Innovation, Implementation and Policy, Greater Los Angeles, CA, USA
- Department of Veterans Affairs, Desert Pacific Mental Illness Research, Education, and Clinical Center, Greater Los Angeles, CA, USA
| | - Ann Elizabeth Montgomery
- Veterans Affairs Health Care System, Birmingham, AL, USA
- School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Jack Tsai
- Department of Veterans Affairs Central Office, National Center on Homelessness among Veterans, Washington, DC, USA
- School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Lillian Gelberg
- Department of Veterans Affairs, Center for the Study of Healthcare Innovation, Implementation and Policy, Greater Los Angeles, CA, USA
- Department of Family Medicine, David Geffen School of Medicine at Univeristy of California, Los Angeles (UCLA), USA
- Department of Health Policy and Management, UCLA Fielding School of Public Health, Los Angeles, CA, USA
- Department of Veterans Affairs, Office of Healthcare Transformation and Innovation, Greater Los Angeles, CA, USA
| | - Sonya Gabrielian
- Department of Veterans Affairs, Center for the Study of Healthcare Innovation, Implementation and Policy, Greater Los Angeles, CA, USA
- Department of Veterans Affairs, Desert Pacific Mental Illness Research, Education, and Clinical Center, Greater Los Angeles, CA, USA
- Department of Family Medicine, David Geffen School of Medicine at Univeristy of California, Los Angeles (UCLA), USA
| |
Collapse
|
8
|
Van Buren I, Madison C, Kohn A, Berry E, Kulkarni RP, Thompson RF. Survival Among Veterans Receiving Steroids for Immune-Related Adverse Events After Immune Checkpoint Inhibitor Therapy. JAMA Netw Open 2023; 6:e2340695. [PMID: 37906189 PMCID: PMC10618850 DOI: 10.1001/jamanetworkopen.2023.40695] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 09/19/2023] [Indexed: 11/02/2023] Open
Abstract
Importance Systemic steroids are commonly used to manage immune-related adverse events (irAEs), but it remains unclear whether they may undermine immune checkpoint inhibitor (ICI) therapy outcomes. Few studies have assessed the impact of steroid timing and its association with continuation or cessation of ICI therapy. Objective To characterize how systemic steroids and steroid timing for irAEs are associated with survival in patients receiving ICI therapy. Design, Setting, and Participants This multicenter retrospective cohort study encompassed veterans receiving ICI for cancer between January 1, 2010, and December 31, 2021. Data analysis was conducted September 8, 2023. Exposures Identifiable primary diagnosis of cancer. Patients were categorized into 3 cohorts: those receiving no steroids, systemic steroids for irAEs, and steroids for non-irAE-associated reasons. All eligible patients received 1 or more doses of an ICI (atezolizumab, avelumab, cemiplimab, durvalumab, ipilimumab, nivolumab, or pembrolizumab). Eligible patients in the steroid group received at least 1 dose (intravenous, intramuscular, or oral) of dexamethasone, hydrocortisone, methylprednisolone, prednisone, or prednisolone. Steroid use at baseline for palliation or infusion prophylaxis or delivered as a single dose was deemed to be non-irAE associated. All other patterns of steroid use were assumed to be for irAEs. Main Outcomes and Measures The primary outcome was overall survival, with a 5-year follow-up after ICI initiation. Kaplan-Meier survival analyses were performed with pairwise log-rank tests to determine significance. Risk was modeled with Cox proportional hazard regression. Results The cohort consisted of 20 163 veterans receiving ICI therapy including 12 221 patients (mean [SD] age, 69.5 [8.0] years; 11 830 male patients [96.8%]; 9394 White patients [76.9%]) who received systemic steroids during ICI treatment and 7942 patients (mean [SD] age, 70.3 [8.5] years; 7747 male patients [97.5%]; 6085 White patients [76.6%]) who did not. Patients with an irAE diagnosis had significantly improved overall survival (OS) compared with those without (median [IQR] OS, 17.4 [6.6 to 48.5] months vs 10.5 [3.5 to 36.8] months; adjusted hazard ratio, 0.84; 95% CI, 0.81-0.84; P < .001). For patients with irAEs, systemic steroids for irAEs were associated with significantly improved survival compared with those who received steroids for non-irAE-related reasons or no steroid treatment (median [IQR] OS, 21.3 [9.3 to 58.2] months vs 13.6 [5.5 to 33.7] months vs 15.8 [4.9 to not reached] months; P <.001). However, among those who received steroids for irAEs, early steroid use (<2 months after ICI initiation) was associated with reduced relative survival benefit vs later steroid use, regardless of ICI continuation or cessation following steroid initiation (median [IQR] OS after ICI cessation 4.4 [1.9 to 19.5] months vs 16.0 [8.0 to 42.2] months; median [IQR] OS after ICI continuation, 16.0 [7.1 to not reached] months vs 29.2 [16.5 to 53.5] months; P <.001). Conclusions and Relevance This study suggests that steroids for irAE management may not abrogate irAE-associated survival benefits. However, early steroid administration within 2 months of ICI initiation is associated with shorter survival despite continuation of ICI therapy.
Collapse
Affiliation(s)
- Inga Van Buren
- Graduate Medical Education, St Joseph’s Medical Center, Stockton, California
| | - Cecelia Madison
- Research and Development, VA Portland Healthcare System, Portland, Oregon
| | - Aimee Kohn
- Division of Hematology and Medical Oncology, Oregon Health & Science University, Portland
| | - Elizabeth Berry
- Department of Dermatology, Oregon Health & Science University, Portland
| | - Rajan P. Kulkarni
- Department of Dermatology, Oregon Health & Science University, Portland
- Operative Care Division, VA Portland Healthcare System, Portland, Oregon
| | - Reid F. Thompson
- Department of Radiation Medicine, Oregon Health & Science University, Portland
- Division of Hospital and Specialty Medicine, VA Portland Healthcare System, Portland, Oregon
| |
Collapse
|
9
|
Scott GD, Neilson LE, Woltjer R, Quinn JF, Lim MM. Lifelong Association of Disorders Related to Military Trauma with Subsequent Parkinson's Disease. Mov Disord 2023; 38:1483-1492. [PMID: 37309872 DOI: 10.1002/mds.29457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 05/08/2023] [Accepted: 05/10/2023] [Indexed: 06/14/2023] Open
Abstract
BACKGROUND Trauma-related disorders such as traumatic brain injury (TBI) and posttraumatic stress disorder (PTSD) are emerging as risk factors for Parkinson's disease (PD), but their association with development of PD and independence from comorbid disorders remains unknown. OBJECTIVE To examine TBI and PTSD related to early trauma in military veterans using a case-control study. METHODS PD was identified by International Classification of Diseases (ICD) code, recurrent PD-specific prescriptions, and availability of 5+ years of earlier records. Validation was performed by chart review by a movement disorder-trained neurologist. Control subjects were matched 4:1 by age, duration of preceding health care, race, ethnicity, birth year, and sex. TBI and PTSD were identified by ICD code and onset based on active duty. Association and interaction were measured for TBI and PTSD with PD going back 60 years. Interaction was measured for comorbid disorders. RESULTS A total of 71,933 cases and 287,732 controls were identified. TBI and PTSD increased odds of subsequent PD at all preceding 5-year intervals back to year -60 (odds ratio range: 1.5 [1.4, 1.7] to 2.1 [2.0, 2.1]). TBI and PTSD showed synergism (synergy index range: 1.14 [1.09, 1.29] to 1.28 [1.09, 1.51]) and additive association (odds ratio range: 2.2 [1.6, 2.8] to 2.7 [2.5, 2.8]). Chronic pain and migraine showed greatest synergy with PTSD and TBI. Effect sizes for trauma-related disorders were comparable with established prodromal disorders. CONCLUSIONS TBI and PTSD are associated with later PD and are synergistic with chronic pain and migraine. These findings provide evidence for TBI and PTSD as risk factors preceding PD by decades and could aid in prognostic calculation and earlier intervention. © 2023 International Parkinson and Movement Disorder Society. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.
Collapse
Affiliation(s)
- Gregory D Scott
- Department of Pathology, Oregon Health and Science University, Portland, Oregon, USA
- Department of Pathology and Laboratory Services, VA Portland Medical Center, Portland, Oregon, USA
| | - Lee E Neilson
- Department of Neurology, Oregon Health and Science University, Portland, Oregon, USA
- Department of Neurology, VA Portland Medical Center, Portland, Oregon, USA
| | - Randy Woltjer
- Department of Pathology, Oregon Health and Science University, Portland, Oregon, USA
| | - Joseph F Quinn
- Department of Neurology, Oregon Health and Science University, Portland, Oregon, USA
- Department of Neurology, VA Portland Medical Center, Portland, Oregon, USA
| | - Miranda M Lim
- Department of Neurology, Oregon Health and Science University, Portland, Oregon, USA
- Department of Neurology, VA Portland Medical Center, Portland, Oregon, USA
- VA VISN20 Northwest Mental Illness Research Education and Clinical Center, Portland, Oregon, USA
- Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, Oregon, USA
| |
Collapse
|
10
|
Gundle K, Hooker ER, Golden SE, Shull S, Crothers K, Melzer AC, Slatore CG. Use of Veterans Health Administration Structured Data to Identify Patients Eligible for Lung Cancer Screening. Mil Med 2023; 188:e2419-e2423. [PMID: 36722178 DOI: 10.1093/milmed/usad017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 12/29/2022] [Accepted: 01/17/2023] [Indexed: 02/02/2023] Open
Abstract
INTRODUCTION Lung cancer screening (LCS) uptake is low. Assessing patients' cigarette pack-years and years since quitting is challenging given the lack of documentation in structured electronic health record data. MATERIALS AND METHODS We used a convenience sample of patients with a chest CT scan in the Veterans Health Administration. We abstracted data on cigarette use from electronic health record notes to determine LCS eligibility based on the 2021 U.S. Preventive Services Task Force age and cigarette use eligibility criteria. We used these data as the "ground truth" of LCS eligibility to compare them with structured data regarding tobacco use and a COPD diagnosis. We calculated sensitivity and specificity as well as fast-and-frugal decision trees. RESULTS For 50-80-year-old veterans identified as former or current tobacco users, we obtained 94% sensitivity and 47% specificity. For 50-80-year-old veterans identified as current tobacco users, we obtained 59% sensitivity and 79% specificity. Our fast-and-frugal decision tree that included a COPD diagnosis had a sensitivity of 69% and a specificity of 60%. CONCLUSION These results can help health care systems make their LCS outreach efforts more efficient and give administrators and researchers a simple method to estimate their number of possibly eligible patients.
Collapse
Affiliation(s)
- Kenneth Gundle
- Department of Orthopedics and Rehabilitation, Oregon Health & Science University, Portland, OR 97239, USA
| | - Elizabeth R Hooker
- Center to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, OR 97239, USA
| | - Sara E Golden
- Center to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, OR 97239, USA
| | - Sarah Shull
- Center to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, OR 97239, USA
| | - Kristina Crothers
- Division of Pulmonary, Critical Care & Medicine, VA Puget Sound Health Care System and Department of Medicine, University of Washington, Seattle, WA 98108, USA
| | - Anne C Melzer
- Section of Pulmonary & Critical Care Medicine, VA Minneapolis Health Care System, Minneapolis, MN, USA
| | - Christopher G Slatore
- Center to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, OR 97239, USA
- Division of Pulmonary & Critical Care Medicine, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
- Section of Pulmonary & Critical Care Medicine, VA Portland Health Care System, Portland, OR 97239, USA
| |
Collapse
|
11
|
Helget LN, England BR, Roul P, Sayles H, Petro AD, Neogi T, O’Dell JR, Mikuls TR. Cause-Specific Mortality in Patients With Gout in the US Veterans Health Administration: A Matched Cohort Study. Arthritis Care Res (Hoboken) 2023; 75:808-816. [PMID: 35294114 PMCID: PMC9477976 DOI: 10.1002/acr.24881] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 02/08/2022] [Accepted: 03/10/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE To compare all-cause and cause-specific mortality risk between patients with gout and patients without gout in the Veteran's Health Administration (VHA). METHODS We performed a matched cohort study, identifying patients with gout in the VHA from January 1999 to September 2015 based on the presence of ≥2 International Classification of Diseases, Ninth Revision codes for gout (274.X). Gout patients were matched up to 1:10 on birth year, sex, and year of VHA enrollment with patients without gout and followed until death or end of study (December 2017). Cause of death was obtained from the National Death Index. Associations of gout with all-cause and cause-specific mortality were examined using multivariable Cox regression. RESULTS Gout (n = 559,243) and matched non-gout controls (n = 5,428,760) had a mean age of 67 years and were 99% male. There were 246,291 deaths over 4,250,371 patient-years in gout patients and 2,000,000 deaths over 40,441,353 patient-years of follow-up in controls. After matching, gout patients had an increased risk of death (hazard ratio [HR] 1.09 [95% confidence interval (95% CI) 1.08-1.09]), which was no longer present after adjusting for comorbidities (HR 0.98 [95% CI 0.97-0.98]). The strongest association of gout with cause-specific mortality was observed with genitourinary conditions (HR 1.50 [95% CI 1.47-1.54]). Gout patients were at lower risk of death related to neurologic (e.g., Alzheimer's disease and Parkinson's disease) (HR 0.63 [95% CI 0.62-0.65]) and mental health (HR 0.66 [95% CI 0.65-0.68]) conditions. CONCLUSION A higher risk of death among gout patients in the VHA was related to comorbidity burden. While deaths attributable to neurologic and mental health conditions were less frequent among gout patients, genitourinary conditions were the most overrepresented causes of death.
Collapse
Affiliation(s)
- Lindsay N. Helget
- Veterans Affairs Nebraska-Western Iowa Health Care System, Omaha, NE
- Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE
| | - Bryant R. England
- Veterans Affairs Nebraska-Western Iowa Health Care System, Omaha, NE
- Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE
| | - Punyasha Roul
- Veterans Affairs Nebraska-Western Iowa Health Care System, Omaha, NE
- Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE
| | - Harlan Sayles
- Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE
- Department of Biostatistics, College of Public Health, University of Nebraska Medical Center, Omaha, NE
| | - Alison D. Petro
- Veterans Affairs Nebraska-Western Iowa Health Care System, Omaha, NE
- Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE
| | - Tuhina Neogi
- Boston University School of Medicine, Boston, MA
| | - James R. O’Dell
- Veterans Affairs Nebraska-Western Iowa Health Care System, Omaha, NE
- Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE
| | - Ted R. Mikuls
- Veterans Affairs Nebraska-Western Iowa Health Care System, Omaha, NE
- Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE
| |
Collapse
|
12
|
Unger S, Golden SE, Melzer AC, Tanner N, Deepak J, Delorit M, Scott JY, Slatore CG. Study design for a proactive teachable moment tobacco treatment intervention among patients with pulmonary nodules. Contemp Clin Trials 2022; 121:106908. [PMID: 36087843 DOI: 10.1016/j.cct.2022.106908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 09/01/2022] [Accepted: 09/01/2022] [Indexed: 01/27/2023]
Abstract
INTRODUCTION We developed Teachable Moment to Opt-Out of Tobacco (TeaM OUT) as a tobacco treatment intervention based on a foundation of a theoretical model of teachable moments, "naturally occurring life transitions or health events thought to motivate individuals to spontaneously adopt risk-reducing health behaviors". The TeaM OUT intervention combines a teachable moment for patients with newly detected incidental pulmonary nodules with a proactive interactive voice response (IVR) system to increase connections to evidence-based tobacco treatment interventions. METHODS We will perform a convergent, nested observational mixed-methods study utilizing both randomized trial and observational methods to test the effectiveness and generalizability of the TeaM OUT intervention through three aims. AIM 1: Among patients recently diagnosed with a pulmonary nodule, we will utilize a pragmatic, stepped wedge randomized controlled design to evaluate the effectiveness of a proactive, teachable moment-based, tobacco treatment outreach intervention (TeaM OUT) on increasing engagement with tobacco treatment resources compared to Enhanced Usual Care. AIM 2: Using a longitudinal observational design, we will evaluate the association of receipt of the TeaM OUT intervention with seven-day point abstinence prevalence and quit motivation compared to Enhanced Usual Care. AIM 3: Qualitatively elicit perspectives from key stakeholders to inform acceptability and utility, implementation barriers and facilitators, and scalability of the TeaM OUT intervention. DISCUSSION We are hopeful that implementation of TeaM OUT will increase the number of patients who quit using cigarettes with subsequent improvements in their health.
Collapse
Affiliation(s)
- Stephanie Unger
- Center to Improve Veteran Involvement in Care, VA Portland Health Care System; Portland, OR, USA
| | - Sara E Golden
- Center to Improve Veteran Involvement in Care, VA Portland Health Care System; Portland, OR, USA.
| | - Anne C Melzer
- Center for Care Delivery and Outcomes Research, Minneapolis VA Health Care System; Minneapolis, MN, USA; Division of Pulmonary, Allergy, Critical Care and Sleep, Department of Medicine, University of Minnesota; Minneapolis, MN, USA
| | - Nichole Tanner
- Health Equity and Rural Outreach Innovation Center, Ralph H. Johnson Veteran Affairs Hospital, Charleston, SC, USA; Division of Pulmonary, Critical Care, Allergy & Sleep, Department of Medicine, Medical University of South Carolina; Charleston, SC, USA
| | - Janaki Deepak
- Division of Pulmonary & Critical Care Medicine, University of Maryland Medical System; Baltimore, MD, USA; Baltimore VA Medical Center; Baltimore, MD, USA
| | - Molly Delorit
- Center to Improve Veteran Involvement in Care, VA Portland Health Care System; Portland, OR, USA
| | - Jennifer Y Scott
- Center to Improve Veteran Involvement in Care, VA Portland Health Care System; Portland, OR, USA
| | - Christopher G Slatore
- Center to Improve Veteran Involvement in Care, VA Portland Health Care System; Portland, OR, USA; Section of Pulmonary & Critical Care Medicine, VA Portland Health Care System; Portland, OR, USA; Division of Pulmonary & Critical Care Medicine, Department of Medicine, Oregon Health & Science University; Portland, OR, USA
| |
Collapse
|
13
|
Bryant AK, Sankar K, Zhao L, Strohbehn GW, Elliott D, Moghanaki D, Kelley MJ, Ramnath N, Green MD. De-escalating adjuvant durvalumab treatment duration in stage III non-small cell lung cancer. Eur J Cancer 2022; 171:55-63. [PMID: 35704975 PMCID: PMC10508975 DOI: 10.1016/j.ejca.2022.04.033] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Revised: 04/09/2022] [Accepted: 04/23/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND One year of adjuvant durvalumab following concurrent chemoradiotherapy significantly improves progression-free survival (PFS) and overall survival (OS) for patients with stage III non-small cell lung cancer (NSCLC). However, the optimal length of adjuvant therapy has not been determined. METHODS We identified patients with stage III NSCLC treated with definitive chemoradiation and adjuvant durvalumab from November 2017 to April 2021 from the United States Veterans Affairs system. Predictors of early durvalumab discontinuation were evaluated with Cox proportional hazards regression. The effect of differing durations of durvalumab treatment (up to 6, 9, and 12 months) on PFS and OS were compared with a marginal structural model and time-dependent Cox modelling. RESULTS We included 1006 patients with stage III non-small cell lung cancer who received concurrent chemoradiotherapy and at least one dose of adjuvant durvalumab. The median duration of durvalumab treatment was 7 months (interquartile range 2.8-11.5) and 31% completed the intended durvalumab course. The most common reasons for early discontinuation were tumour progression (22%), immune-related adverse events (15%), and non-immune-related toxicity (6.0%), Marginal structural models suggested similar PFS for 9 months versus 12 months of durvalumab treatment and inferior PFS for 6 months versus 12 months. CONCLUSIONS A substantial proportion of patients undergoing adjuvant durvalumab discontinue therapy early due to toxicity, and shorter durvalumab treatment durations may provide similar disease control to 12 months of therapy. Prospective randomised controlled studies are needed to characterise the optimal durvalumab treatment duration in locally advanced NSCLC patients.
Collapse
Affiliation(s)
- Alex K Bryant
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA; Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA; Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - Kamya Sankar
- Division of Hematology Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA; Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA; Section of Hematology Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - Lili Zhao
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA; Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA
| | - Garth W Strohbehn
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA; Section of Hematology Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA; VA Center for Clinical Management Research, Veterans Affairs Ann Arbor, Ann Arbor, MI, USA
| | - David Elliott
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA; Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA; Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - Drew Moghanaki
- Department of Radiation Oncology, VA Greater Los Angeles, Los Angeles, CA, USA; UCLA Jonsson Cancer Center, Los Angeles, CA, USA
| | - Michael J Kelley
- Division of Hematology Oncology, Department of Medicine, Duke University, Durham, NC, USA; VA Medical Center in Durham, Durham, NC, USA
| | - Nithya Ramnath
- Division of Hematology Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA; Section of Hematology Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA.
| | - Michael D Green
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA; Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA; Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA.
| |
Collapse
|
14
|
The Chain of Adherence for Incidentally Detected Pulmonary Nodules after an Initial Radiologic Imaging Study: A Multisystem Observational Study. Ann Am Thorac Soc 2022; 19:1379-1389. [PMID: 35167780 DOI: 10.1513/annalsats.202111-1220oc] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
Rationale: Millions of people are diagnosed with incidental pulmonary nodules every year. Although most nodules are benign, it is universally recommended that all patients be assessed to determine appropriate follow-up and ensure that it is obtained. Objectives: To determine the degree of concordance and adherence to 2005 Fleischner Society guidelines among radiologists, clinicians, and patients at two Veterans Affairs healthcare systems with incidental nodule tracking systems. Methods: Trained researchers abstracted data from the electronic health records of patients with incidental pulmonary nodules as identified by interpreting radiologists from 2008 to 2016. We classified radiology reports and patient follow-up into three categories. Radiologist-Fleischner adherence was the agreement between the radiologist's recommendation in the computed tomography (CT) report and the 2005 Fleischner Society guidelines. Clinician/patient-Fleischner concordance was agreement between patient follow-up and the guidelines. Clinician/patient-radiologist adherence was agreement between the radiologist's recommendation and patient follow-up. We evaluated whether the recommendation or follow-up was more (e.g., sooner) or less (e.g., later) aggressive than recommended. Results: After exclusions, 4,586 patients with 7,408 imaging tests (n = 4,586 initial chest CT scans; n = 2,717 follow-up chest CT scans; n = 105 follow-up low-dose CT scans) were included. Among radiology reports that could be classified in terms of Fleischner Society guidelines (n = 3,150), 80% had nonmissing radiologist recommendations. Among those reports, radiologist-Fleischner adherence was 86.6%, with 4.8% more aggressive and 8.6% less aggressive. Among patients whose initial scans could be classified, clinician/patient-Fleischner concordance was 46.0%, 14.5% were more aggressive, and 39.5% were less aggressive. Clinician/patient-radiologist adherence was 54.3%. Veterans whose radiology reports were adherent to Fleischner Society guidelines had a substantially higher proportion of clinician/patient-Fleischner concordance: 52.0% concordance among radiologist-Fleischner adherent versus 11.6% concordance among radiologist-Fleischner nonadherent. Conclusions: In this multi-health system observational study of incidental pulmonary nodule follow-up, we found that radiologist adherence to 2005 Fleischner Society guidelines may be necessary but not sufficient. Our results highlight the many facets of care processes that must occur to achieve guideline-concordant care.
Collapse
|
15
|
Assessing Smoking Status and Risk of SARS-CoV-2 Infection: A Machine Learning Approach among Veterans. Healthcare (Basel) 2022; 10:healthcare10071244. [PMID: 35885771 PMCID: PMC9319659 DOI: 10.3390/healthcare10071244] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 06/21/2022] [Accepted: 06/27/2022] [Indexed: 12/30/2022] Open
Abstract
The role of smoking in the risk of SARS-CoV-2 infection is unclear. We used a retrospective cohort design to study data from veterans’ Electronic Medical Record to assess the impact of smoking on the risk of SARS-CoV-2 infection. Veterans tested for the SARS-CoV-2 virus from 02/01/2020 to 02/28/2021 were classified as: Never Smokers (NS), Former Smokers (FS), and Current Smokers (CS). We report the adjusted odds ratios (aOR) for potential confounders obtained from a cascade machine learning algorithm. We found a 19.6% positivity rate among 1,176,306 veterans tested for SARS-CoV-2 infection. The positivity proportion among NS (22.0%) was higher compared with FS (19.2%) and CS (11.5%). The adjusted odds of testing positive for CS (aOR:0.51; 95%CI: 0.50, 0.52) and FS (aOR:0.89; 95%CI:0.88, 0.90) were significantly lower compared with NS. Four pre-existing conditions, including dementia, lower respiratory infections, pneumonia, and septic shock, were associated with a higher risk of testing positive, whereas the use of the decongestant drug phenylephrine or having a history of cancer were associated with a lower risk. CS and FS compared with NS had lower risks of testing positive for SARS-CoV-2. These findings highlight our evolving understanding of the role of smoking status on the risk of SARS-CoV-2 infection.
Collapse
|
16
|
Heiden BT, Eaton DB, Chang SH, Yan Y, Schoen MW, Chen LS, Smock N, Patel MR, Kreisel D, Nava RG, Meyers BF, Kozower BD, Puri V. The Impact of Persistent Smoking After Surgery on Long-term Outcomes After Stage I Non-small Cell Lung Cancer Resection. Chest 2022; 161:1687-1696. [PMID: 34919892 PMCID: PMC9248074 DOI: 10.1016/j.chest.2021.12.634] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 11/29/2021] [Accepted: 12/01/2021] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Smoking at the time of surgical treatment for lung cancer increases the risk for perioperative morbidity and mortality. The prevalence of persistent smoking in the postoperative period and its association with long-term oncologic outcomes are poorly described. RESEARCH QUESTION What is the relationship between persistent smoking and long-term outcomes in early-stage lung cancer after surgical treatment? STUDY DESIGN AND METHODS We performed a retrospective cohort study using a uniquely compiled Veterans Health Administration dataset of patients with clinical stage I non-small cell lung cancer (NSCLC) undergoing surgical treatment between 2006 and 2016. We defined persistent smoking as individuals who continued smoking 1 year after surgery and characterized the relationship between persistent smoking and disease-free survival and overall survival. RESULTS This study included 7,489 patients undergoing surgical treatment for clinical stage I NSCLC. Of 4,562 patients (60.9%) who were smoking at the time of surgery, 2,648 patients (58.0%) continued to smoke at 1 year after surgery. Among 2,927 patients (39.1%) who were not smoking at the time of surgical treatment, 573 (19.6%) relapsed and were smoking at 1 year after surgery. Persistent smoking at 1 year after surgery was associated with significantly shorter overall survival (adjusted hazard ration [aHR], 1.291; 95% CI, 1.197-1.392; P < .001). However, persistent smoking was not associated with inferior disease-free survival (aHR, 0.989; 95% CI, 0.884-1.106; P = .84). INTERPRETATION Persistent smoking after surgery for stage I NSCLC is common and is associated with inferior overall survival. Providers should continue to assess smoking habits in the postoperative period given its disproportionate impact on long-term outcomes after potentially curative treatment for early-stage lung cancer.
Collapse
Affiliation(s)
- Brendan T Heiden
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, MO.
| | - Daniel B Eaton
- Division of Research and Education, VA St. Louis Health Care System, St. Louis, MO
| | - Su-Hsin Chang
- Division of Research and Education, VA St. Louis Health Care System, St. Louis, MO; Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO
| | - Yan Yan
- Division of Research and Education, VA St. Louis Health Care System, St. Louis, MO; Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO
| | - Martin W Schoen
- Division of Research and Education, VA St. Louis Health Care System, St. Louis, MO; Division of Hematology and Medical Oncology, Department of Internal Medicine, Saint Louis University School of Medicine, St. Louis, MO
| | - Li-Shiun Chen
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO; Alvin J. Siteman Cancer Center at Barnes-Jewish Hospital, Washington University School of Medicine, St. Louis, MO
| | - Nina Smock
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Mayank R Patel
- Division of Research and Education, VA St. Louis Health Care System, St. Louis, MO
| | - Daniel Kreisel
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, MO; Division of Research and Education, VA St. Louis Health Care System, St. Louis, MO
| | - Ruben G Nava
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, MO; Division of Research and Education, VA St. Louis Health Care System, St. Louis, MO
| | - Bryan F Meyers
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, MO
| | - Benjamin D Kozower
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, MO
| | - Varun Puri
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, MO; Division of Research and Education, VA St. Louis Health Care System, St. Louis, MO
| |
Collapse
|
17
|
Clarke SL, Tcheandjieu C, Hilliard AT, Lee KM, Lynch J, Chang KM, Miller D, Knowles JW, O’Donnell C, Tsao P, Rader DJ, Wilson PW, Sun YV, Gaziano M, Assimes TL. Coronary Artery Disease Risk of Familial Hypercholesterolemia Genetic Variants Independent of Clinically Observed Longitudinal Cholesterol Exposure. CIRCULATION. GENOMIC AND PRECISION MEDICINE 2022; 15:e003501. [PMID: 35143253 PMCID: PMC10593360 DOI: 10.1161/circgen.121.003501] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 01/17/2022] [Indexed: 01/21/2023]
Abstract
BACKGROUND Familial hypercholesterolemia (FH) genetic variants confer risk for coronary artery disease independent of LDL-C (low-density lipoprotein cholesterol) when considering a single measurement. In real clinical settings, longitudinal LDL-C data are often available through the electronic health record. It is unknown whether genetic testing for FH variants provides additional risk-stratifying information once longitudinal LDL-C is considered. METHODS We used the extensive electronic health record data available through the Million Veteran Program to conduct a nested case-control study. The primary outcome was coronary artery disease, derived from electronic health record codes for acute myocardial infarction and coronary revascularization. Incidence density sampling was used to match case/control exposure windows, defined by the date of the first LDL-C measurement to the date of the first coronary artery disease code of the index case. Adjustments for the first, maximum, or mean LDL-C were analyzed. FH variants in LDLR, APOB, and PCSK9 (Proprotein convertase subtilisin/kexin type 9) were assessed by custom genotype array. RESULTS In a cohort of 23 091 predominantly prevalent cases at enrollment and 230 910 matched controls, FH variant carriers had an increased risk for coronary artery disease (odds ratio [OR], 1.53 [95% CI, 1.24-1.89]). Adjusting for mean LDL-C led to the greatest attenuation of the risk estimate, but significant risk remained (odds ratio, 1.33 [95% CI, 1.08-1.64]). The degree of attenuation was not affected by the number and the spread of LDL-C measures available. CONCLUSIONS The risk associated with carrying an FH variant cannot be fully captured by the LDL-C data available in the electronic health record, even when considering multiple LDL-C measurements spanning more than a decade.
Collapse
Affiliation(s)
- Shoa L. Clarke
- VA Palo Alto Health Care system, Palo Alto, CA
- Dept of Medicine, Division of Cardiovascular Medicine, Stanford Univ School of Medicine, Stanford, CA
| | - Catherine Tcheandjieu
- VA Palo Alto Health Care system, Palo Alto, CA
- Dept of Medicine, Division of Cardiovascular Medicine, Stanford Univ School of Medicine, Stanford, CA
| | - Austin T. Hilliard
- VA Palo Alto Health Care system, Palo Alto, CA
- Dept of Medicine, Division of Cardiovascular Medicine, Stanford Univ School of Medicine, Stanford, CA
| | - Kyung Min Lee
- VA Informatics & Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT
| | - Julie Lynch
- VA Informatics & Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT
- College of Nursing & Health Sciences, Univ of Massachusetts, Boston, MA
| | - Kyong-Mi Chang
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA
- Dept of Medicine, Univ of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Donald Miller
- Edith Nourse Rogers Memorial VA Hospital, Bedford, MA
- Center for Population Health, Univ of Massachusetts, Lowell, MA
| | - Joshua W. Knowles
- Dept of Medicine, Division of Cardiovascular Medicine, Stanford Univ School of Medicine, Stanford, CA
- Diabetes Research Center, Stanford Univ School of Medicine, Stanford, CA
- Cardiovascular Institute, Stanford Univ School of Medicine, Stanford, CA
| | - Christopher O’Donnell
- VA Boston Healthcare System, Boston, MA
- Dept of Medicine, Harvard Medical School, Boston, MA
| | - Phil Tsao
- VA Palo Alto Health Care system, Palo Alto, CA
- Dept of Medicine, Division of Cardiovascular Medicine, Stanford Univ School of Medicine, Stanford, CA
- Cardiovascular Institute, Stanford Univ School of Medicine, Stanford, CA
| | - Daniel J. Rader
- Dept of Medicine, Univ of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Peter W. Wilson
- Atlanta VA Medical Center, Decatur, GA
- Dept of Medicine, Emory Univ School of Medicine, Atlanta, GA
- Dept of Epidemiology, Emory Univ Rollins School of Public Health, Atlanta, GA
| | - Yan V. Sun
- Atlanta VA Medical Center, Decatur, GA
- Dept of Epidemiology, Emory Univ Rollins School of Public Health, Atlanta, GA
| | | | - Themistocles L. Assimes
- VA Palo Alto Health Care system, Palo Alto, CA
- Dept of Medicine, Division of Cardiovascular Medicine, Stanford Univ School of Medicine, Stanford, CA
- Cardiovascular Institute, Stanford Univ School of Medicine, Stanford, CA
| | | |
Collapse
|
18
|
Munigala S, Subramaniam DS, Subramaniam DP, Burroughs TE, Conwell DL, Sheth SG. Incidence and Risk of Pancreatic Cancer in Patients with a New Diagnosis of Chronic Pancreatitis. Dig Dis Sci 2022; 67:708-715. [PMID: 33630214 DOI: 10.1007/s10620-021-06886-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2020] [Accepted: 02/01/2021] [Indexed: 12/15/2022]
Abstract
BACKGROUND Chronic pancreatitis (CP) is a risk factor for pancreatic ductal adenocarcinoma (PDAC); nevertheless, the true incidence of PDAC in CP patients in the United States remains unclear. AIMS We evaluated the risk of developing PDAC two or more years after a new diagnosis of CP. METHODS Retrospective study of veterans from September 1999 to October 2015. A three-year washout period was applied to exclude patients with preexisting CP and PDAC. PDAC risk was evaluated in patients with new-diagnosis CP and compared with controls without CP using Cox-proportional hazards model. CP, PDAC, and other covariates were extracted using ICD-9 codes. RESULTS After exclusions, we identified 7,883,893 patients [new-diagnosis CP - 21,765 (0.28%)]. PDAC was diagnosed in 226 (1.04%) patients in the CP group and 15,858 (0.20%) patients in the control group (p < 0.001). CP patients had a significantly higher PDAC risk compared to controls > 2 years [adjusted hazard ratio (HR) 4.28, 95% confidence interval (CI) 3.74-4.89, p < 0.001], 5 years (adjusted HR 3.32, 95% CI 2.75-4.00, p < 0.001) and 10 years of follow-up (adjusted HR 3.14, 95% CI 1.99-4.93, p < 0.001), respectively. By multivariable analysis, age (odds ratio 1.02, 95% CI 1.00-1.03, p = 0.03), current smoker (odds ratio 1.67, 95% CI 1.02-2.74, p = 0.042), current smoker + alcoholic (odds ratio 2.29, 95% CI 1.41-3.52, p < 0.001), and diabetes (odds ratio 1.51, 95% CI 1.14-1.99, p = 0.004) were the independent risk factors for PDAC. CONCLUSION Our data show that after controlling for etiology of CP and other cofactors, the risk of PDAC increased in CP patients after two years of follow-up, and risk was consistent and sustained beyond 5 years and 10 years of follow-up.
Collapse
Affiliation(s)
- Satish Munigala
- Saint Louis University Center for Outcomes Research (SLUCOR), 3545 Lafayette Ave, Salus Center 4th Floor, SLUCOR Office, St. Louis, MO, 63104, USA.
| | - Divya S Subramaniam
- Saint Louis University Center for Outcomes Research (SLUCOR), 3545 Lafayette Ave, Salus Center 4th Floor, SLUCOR Office, St. Louis, MO, 63104, USA
| | - Dipti P Subramaniam
- School of Nursing and Health Studies, University of Missouri-Kansas City, Kansas City, MO, USA
| | - Thomas E Burroughs
- Saint Louis University Center for Outcomes Research (SLUCOR), 3545 Lafayette Ave, Salus Center 4th Floor, SLUCOR Office, St. Louis, MO, 63104, USA
| | - Darwin L Conwell
- Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Sunil G Sheth
- Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA
| |
Collapse
|
19
|
Sankar K, Bryant AK, Strohbehn GW, Zhao L, Elliott D, Moghanaki D, Kelley MJ, Ramnath N, Green MD. Real World Outcomes versus Clinical Trial Results of Durvalumab Maintenance in Veterans with Stage III Non-Small Cell Lung Cancer. Cancers (Basel) 2022; 14:cancers14030614. [PMID: 35158881 PMCID: PMC8833364 DOI: 10.3390/cancers14030614] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 01/22/2022] [Accepted: 01/24/2022] [Indexed: 02/01/2023] Open
Abstract
Simple Summary The standard of care for patients with stage III non-small cell lung cancer is concurrent chemoradiotherapy followed by maintenance durvalumab based on outcomes from the PACIFIC trial. The efficacy of this regimen in a real-world population has not been extensively studied. We found that the addition of durvalumab has significantly improved both progression-free and overall survival in veterans with stage III non-small cell lung cancer as compared to veterans who received concurrent chemoradiotherapy alone, but overall survival of veterans is reduced compared to patients in the PACIFIC trial. Additional studies will need to be performed to understand this efficacy-effectiveness gap. Abstract One year of durvalumab following concurrent chemoradiotherapy improves progression-free (PFS) and overall survival (OS) for patients with stage III non-small cell lung cancer (NSCLC). However, the real-world efficacy of durvalumab has not been determined. We conducted a multi-center observational cohort study across the Veterans Health Administration, including patients with stage III NSCLC who received concurrent chemoradiotherapy and durvalumab, compared to patients who received concurrent chemoradiotherapy alone. Kaplan–Meier and Cox regression approaches were used to identify factors associated with PFS and OS. We calculated a hazard ratio and efficacy-effectiveness factor to compare OS of veterans to the referenced clinical trial population. A total of 1006 patients with stage III NSCLC who received concurrent chemoradiotherapy and at least one dose of durvalumab from November 2017 to April 2021 were compared to 989 patients who received concurrent chemoradiotherapy alone from January 2015 to December 2016. Adjuvant durvalumab was associated with higher PFS (HR 0.62, 95% CI 0.55–0.70, p < 0.001) and OS (HR 0.57, 95% CI 0.50–0.66, p < 0.001). OS was shorter in veterans compared to PACIFIC (HR 1.24, 95% CI 1.03–1.48, p = 0.02: EE gap 0.73). OS of veterans with stage III NSCLC treated with adjuvant durvalumab is improved compared to a modern comparator but is reduced compared to the PACIFIC population.
Collapse
Affiliation(s)
- Kamya Sankar
- Division of Hematology and Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA;
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA; (A.K.B.); (L.Z.); (D.E.)
| | - Alex K. Bryant
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA; (A.K.B.); (L.Z.); (D.E.)
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Garth W. Strohbehn
- Section of Hematology and Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI 48105, USA;
| | - Lili Zhao
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA; (A.K.B.); (L.Z.); (D.E.)
- Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA
| | - David Elliott
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA; (A.K.B.); (L.Z.); (D.E.)
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI 48105, USA
| | - Drew Moghanaki
- Department of Radiation Oncology, UCLA Jonsson Cancer Center, Los Angeles, CA 90024, USA;
| | - Michael J. Kelley
- Department of Veterans Affairs, Durham VA Medical Center, Durham, NC 27705, USA;
- Medical Oncology, Department of Medicine, Duke Medical Center, Durham, NC 27710, USA
| | - Nithya Ramnath
- Division of Hematology and Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA;
- Section of Hematology and Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI 48105, USA;
- Correspondence: (N.R.); (M.D.G.); Tel.: +1-734-232-6789 (N.R.); +1-734-763-1512 (M.D.G.)
| | - Michael D. Green
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA; (A.K.B.); (L.Z.); (D.E.)
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI 48105, USA
- Correspondence: (N.R.); (M.D.G.); Tel.: +1-734-232-6789 (N.R.); +1-734-763-1512 (M.D.G.)
| |
Collapse
|
20
|
Wilkinson LA, Mergenhagen KA, Carter MT, Chua H, Clark C, Wattengel BA, Sellick JA, El-Solh AA. Smoking status related to Covid-19 mortality and disease severity in a veteran population. Respir Med 2021; 190:106668. [PMID: 34768074 PMCID: PMC8556076 DOI: 10.1016/j.rmed.2021.106668] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 10/14/2021] [Accepted: 10/21/2021] [Indexed: 12/15/2022]
Abstract
INTRODUCTION Cigarette smoking is associated with development of significant comorbidities. Patients with underlying comorbidities have been found to have worse outcomes associated with Coronavirus Disease 2019 (Covid-19). This study evaluated 30-day mortality in Covid-19 positive patients based on smoking status. METHODS This retrospective study of veterans nationwide examined Covid-19 positive inpatients between March 2020 and January 2021. Bivariate analysis compared patients based on smoking history. Propensity score matching adjusted for age, gender, race, ethnicity, Charlson comorbidity index (0-5 and 6-19) and dexamethasone use was performed. A multivariable logistic regression with backwards elimination and Cox Proportional Hazards Ratio was utilized to determine odds of 30-day mortality. RESULTS The study cohort consisted of 25,958 unique Covid-19 positive inpatients. There was a total of 2,995 current smokers, 12,169 former smokers, and 8,392 non-smokers. Death was experienced by 13.5% (n = 3503) of the cohort within 30 days. Former smokers (OR 1.15; 95% CI, 1.05-1.27) (HR 1.13; 95% CI, 1.03-1.23) had higher risk of 30-day mortality compared with non-smokers. Former smokers had a higher risk of death compared to current smokers (HR 1.16 95% CI 1.02-1.33). The odds of death for current vs. non-smokers did not significantly differ. CONCLUSION Compared to veteran non-smokers with Covid-19, former, but not current smokers with Covid-19 had a significantly higher risk of 30-day mortality.
Collapse
Affiliation(s)
- Laura A Wilkinson
- Veteran Affairs Western New York Healthcare System, Department of Pharmacy, Buffalo, NY, United States
| | - Kari A Mergenhagen
- Veteran Affairs Western New York Healthcare System, Department of Pharmacy, Buffalo, NY, United States.
| | - Michael T Carter
- Veteran Affairs Western New York Healthcare System, Department of Pharmacy, Buffalo, NY, United States
| | - Hubert Chua
- Veteran Affairs Western New York Healthcare System, Department of Pharmacy, Buffalo, NY, United States
| | - Collin Clark
- University at Buffalo School of Pharmacy and Pharmaceutical Sciences, United States
| | - Bethany A Wattengel
- Veteran Affairs Western New York Healthcare System, Department of Pharmacy, Buffalo, NY, United States
| | - John A Sellick
- Veteran Affairs Western New York Healthcare System, Department of Infectious Diseases, Buffalo, NY, United States; Jacobs School of Medicine and Biomedical Sciences, Department of Internal Medicine, Buffalo, NY, United States
| | - Ali A El-Solh
- Veteran Affairs Western New York Healthcare System, Department of Research and Development, Buffalo, NY, United States
| |
Collapse
|
21
|
Razjouyan J, Helmer DA, Lynch KE, Hanania NA, Klotman PE, Sharafkhaneh A, Amos CI. Smoking Status and Factors associated with COVID-19 In-hospital Mortality among U.S. Veterans. Nicotine Tob Res 2021; 24:785-793. [PMID: 34693967 PMCID: PMC8586728 DOI: 10.1093/ntr/ntab223] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Accepted: 10/20/2021] [Indexed: 11/17/2022]
Abstract
Introduction The role of smoking in risk of death among patients with COVID-19 remains unclear. We examined the association between in-hospital mortality from COVID-19 and smoking status and other factors in the United States Veterans Health Administration (VHA). Methods This is an observational, retrospective cohort study using the VHA COVID-19 shared data resources for February 1 to September 11, 2020. Veterans admitted to the hospital who tested positive for SARS-CoV-2 and hospitalized by VHA were grouped into Never (as reference, NS), Former (FS), and Current smokers (CS). The main outcome was in-hospital mortality. Control factors were the most important variables (among all available) determined through a cascade of machine learning. We reported adjusted odds ratios (aOR) and 95% confidence intervals (95%CI) from logistic regression models, imputing missing smoking status in our primary analysis. Results Out of 8 667 996 VHA enrollees, 505 143 were tested for SARS-CoV-2 (NS = 191 143; FS = 240 336; CS = 117 706; Unknown = 45 533). The aOR of in-hospital mortality was 1.16 (95%CI 1.01, 1.32) for FS vs. NS and 0.97 (95%CI 0.78, 1.22; p > .05) for CS vs. NS with imputed smoking status. Among other factors, famotidine and nonsteroidal anti-inflammatory drugs (NSAID) use before hospitalization were associated with lower risk while diabetes with complications, kidney disease, obesity, and advanced age were associated with higher risk of in-hospital mortality. Conclusions In patients admitted to the hospital with SARS-CoV-2 infection, our data demonstrate that FS are at higher risk of in-hospital mortality than NS. However, this pattern was not seen among CS highlighting the need for more granular analysis with high-quality smoking status data to further clarify our understanding of smoking risk and COVID-19-related mortality. Presence of comorbidities and advanced age were also associated with increased risk of in-hospital mortality. Implications Veterans who were former smokers were at higher risk of in-hospital mortality compared to never smokers. Current smokers and never smokers were at similar risk of in-hospital mortality. The use of famotidine and nonsteroidal anti-inflammatory drugs (NSAIDs) before hospitalization were associated with lower risk while uncontrolled diabetes mellitus, advanced age, kidney disease, and obesity were associated with higher risk of in-hospital mortality.
Collapse
Affiliation(s)
- Javad Razjouyan
- VA HSR&D Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, TX, USA
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- VA Quality Scholars Coordinating Center, IQuESt, Michael E. DeBakey VA Medical Center, Houston, TX, USA
- Big Data Scientist Training Enhancement Program (BD-STEP), VA Office of Research and Development, Washington, DC, USA
- Corresponding Author: Javad Razjouyan, Ph.D., Baylor College of Medicine, Implementation Science & Innovation Core, Center for Innovations in Quality, Effectiveness and Safety (IQuESt), Michael E. DeBakey VA Medical Center, 2450 Holcombe Blvd Suite 01Y, Houston, TX 77021, USA. Telephone: (713)798-7928; Fax: (713)798-3658; E-mail: ;
| | - Drew A Helmer
- VA HSR&D Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, TX, USA
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Kristine E Lynch
- VA Salt Lake City Health Care System and Division of Epidemiology, University of Utah, Salt Lake City, UT, USA
| | - Nicola A Hanania
- VA Salt Lake City Health Care System and Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Paul E Klotman
- Integrative Molecular and Biomedical Sciences Program, Baylor College of Medicine, Houston, TX,USA
- Margaret M. and Albert B. Alkek Department of Medicine, Nephrology, Baylor College of Medicine, Houston, TX,USA
| | - Amir Sharafkhaneh
- VA HSR&D Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, TX, USA
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Medical Care Line, Section of Pulmonary, Critical Care and Sleep Medicine, Michael E. DeBakey VA Medical Center, Houston, TX,USA
| | | |
Collapse
|
22
|
Scott GD, Lim MM, Drake MG, Woltjer R, Quinn JF. Onset of Skin, Gut, and Genitourinary Prodromal Parkinson's Disease: A Study of 1.5 Million Veterans. Mov Disord 2021; 36:2094-2103. [PMID: 33942370 PMCID: PMC8734457 DOI: 10.1002/mds.28636] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 04/02/2021] [Accepted: 04/14/2021] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Prodromal Parkinson's disease of skin, genitourinary, and gastrointestinal systems offers a unique window for understanding early disease pathogenesis and developing disease modifying treatments. However, prior studies are limited by incomplete timing information, small sample size, and lack of adjustment for known confounders. Verifying prodromal timing and identifying new disorders in these accessible organs is critically important given their broad use. OBJECTIVE We aimed to measure onset timing for gastrointestinal, genitourinary, and skin disorders in a large, nationwide clinically characterized cohort of 1.5 million participants. METHODS Patients with Parkinson's disease (n = 303,693) were identified using diagnostic codes in the medical records database of the United States Veterans Affairs healthcare system and were compared 4:1 with matched controls. Disorder prevalence and estimated onset times were assessed for 20 years preceding diagnosis. RESULTS The earliest significantly increased prodromal disorders were gastroesophageal reflux, sexual dysfunction, and esophageal dyskinesia at 17, 16, and 15 years before diagnosis. Estimated onset times for each disorder occurred 5.5 ± 3.4 years before the first measured increase. The earliest estimated onset times were smell/taste, upper gastrointestinal tract, and sexual dysfunction at 20.9, 20.6, and 20.1 years before diagnosis. Onset times for constipation and urinary dysfunction were notably longer by 7 and 9 years compared to prior studies in sleep disorder patients. Dermatophytosis and prostatic hypertrophy were identified as new high prevalence prodromal disorders. CONCLUSIONS Gastrointestinal, genitourinary, and skin disorders manifest decades before diagnosis of Parkinson's disease, reiterating their potential as sites for developing early diagnostic testing and understanding pathogenesis.
Collapse
Affiliation(s)
- Gregory D. Scott
- Department of Pathology, Oregon Health and Science University, Portland, Oregon, USA
- Department of Pathology and Laboratory Services, VA Portland Medical Center, Portland, Oregon, USA
| | - Miranda M. Lim
- Department of Neurology, Oregon Health and Science University, Portland, Oregon, USA
- Department of Neurology, VA Portland Medical Center, Portland, Oregon, USA
- Department of Pulmonary and Critical Care Medicine, Oregon Health and Science University, Portland, Oregon, USA
| | - Matthew G. Drake
- Department of Pulmonary and Critical Care Medicine, Oregon Health and Science University, Portland, Oregon, USA
| | - Randy Woltjer
- Department of Pathology, Oregon Health and Science University, Portland, Oregon, USA
| | - Joseph F. Quinn
- Department of Neurology, Oregon Health and Science University, Portland, Oregon, USA
- Department of Neurology, VA Portland Medical Center, Portland, Oregon, USA
| |
Collapse
|
23
|
LeLaurin JH, Gurka MJ, Chi X, Lee JH, Hall J, Warren GW, Salloum RG. Concordance Between Electronic Health Record and Tumor Registry Documentation of Smoking Status Among Patients With Cancer. JCO Clin Cancer Inform 2021; 5:518-526. [PMID: 33974447 DOI: 10.1200/cci.20.00187] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
PURPOSE Patients with cancer who use tobacco experience reduced treatment effectiveness, increased risk of recurrence and mortality, and diminished quality of life. Accurate tobacco use documentation for patients with cancer is necessary for appropriate clinical decision making and cancer outcomes research. Our aim was to assess agreement between electronic health record (EHR) smoking status data and cancer registry data. MATERIALS AND METHODS We identified all patients with cancer seen at University of Florida Health from 2015 to 2018. Structured EHR smoking status was compared with the tumor registry smoking status for each patient. Sensitivity, specificity, positive predictive values, negative predictive values, and Kappa statistics were calculated. We used logistic regression to determine if patient characteristics were associated with odds of agreement in smoking status between EHR and registry data. RESULTS We analyzed 11,110 patient records. EHR smoking status was documented for nearly all (98%) patients. Overall kappa (0.78; 95% CI, 0.77 to 0.79) indicated moderate agreement between the registry and EHR. The sensitivity was 0.82 (95% CI, 0.81 to 0.84), and the specificity was 0.97 (95% CI, 0.96 to 0.97). The logistic regression results indicated that agreement was more likely among patients who were older and female and if the EHR documentation occurred closer to the date of cancer diagnosis. CONCLUSION Although documentation of smoking status for patients with cancer is standard practice, we only found moderate agreement between EHR and tumor registry data. Interventions and research using EHR data should prioritize ensuring the validity of smoking status data. Multilevel strategies are needed to achieve consistent and accurate documentation of smoking status in cancer care.
Collapse
Affiliation(s)
- Jennifer H LeLaurin
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL
| | - Matthew J Gurka
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL
| | - Xiaofei Chi
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL
| | - Ji-Hyun Lee
- Division of Quantitative Sciences, University of Florida Health Cancer Center, Gainesville, FL.,Department of Biostatistics, University of Florida, Gainesville, FL
| | - Jaclyn Hall
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL
| | - Graham W Warren
- Department of Radiation Oncology, Medical University of South Carolina, Charleston, SC.,Department of Cell and Molecular Pharmacology, Medical University of South Carolina, Charleston, SC
| | - Ramzi G Salloum
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL
| |
Collapse
|
24
|
COVID-19-Associated Mortality in US Veterans with and without SARS-CoV-2 Infection. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18168486. [PMID: 34444232 PMCID: PMC8394601 DOI: 10.3390/ijerph18168486] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 08/02/2021] [Accepted: 08/07/2021] [Indexed: 11/30/2022]
Abstract
Background: We performed an observational Veterans Health Administration cohort analysis to assess how risk factors affect 30-day mortality in SARS-CoV-2-infected subjects relative to those uninfected. While the risk factors for coronavirus disease 2019 (COVID-19) have been extensively studied, these have been seldom compared with uninfected referents. Methods: We analyzed 341,166 White/Black male veterans tested for SARS-CoV-2 from March 1 to September 10, 2020. The relative risk of 30-day mortality was computed for age, race, ethnicity, BMI, smoking status, and alcohol use disorder in infected and uninfected subjects separately. The difference in relative risk was then evaluated between infected and uninfected subjects. All the analyses were performed considering clinical confounders. Results: In this cohort, 7% were SARS-CoV-2-positive. Age >60 and overweight/obesity were associated with a dose-related increased mortality risk among infected patients relative to those uninfected. In contrast, relative to never smoking, current smoking was associated with a decreased mortality among infected and an increased mortality in uninfected, yielding a reduced mortality risk among infected relative to uninfected. Alcohol use disorder was also associated with decreased mortality risk in infected relative to the uninfected. Conclusions: Age, BMI, smoking, and alcohol use disorder affect 30-day mortality in SARS-CoV-2-infected subjects differently from uninfected referents. Advanced age and overweight/obesity were associated with increased mortality risk among infected men, while current smoking and alcohol use disorder were associated with lower mortality risk among infected men, when compared with those uninfected.
Collapse
|
25
|
Madison CJ, Melson RA, Conlin MJ, Gundle KR, Thompson RF, Calverley DC. Thromboembolic risk in patients with lung cancer receiving systemic therapy. Br J Haematol 2021; 194:179-190. [PMID: 34137029 DOI: 10.1111/bjh.17476] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 03/09/2021] [Accepted: 03/21/2021] [Indexed: 12/24/2022]
Abstract
In this retrospective study, we investigated the influence of chemotherapy and immunotherapy on thromboembolic risk among United States Veterans with lung cancer during their first 6 months (180 days) following initiation of systemic therapy. Included patients received treatment with common front-line agents that were divided into four groups: chemotherapy alone, immunotherapy alone, combination of chemo- and immunotherapies, and molecularly targeted therapies (control group). The cohort experienced a 7·4% overall incidence of thrombosis, but the analysis demonstrated significantly different rates among the different groups. We explored models incorporating multiple confounding variables as well as the competing risk of death, and these results indicated that both chemo- and immunotherapies were associated with an increased incidence of thrombosis, either alone or combined, compared with the control group (7·56%, P = 2.2 × 10-16 ; 10·2%, P = 2.2 × 10-16 ; and 7·87%, P = 2.4 × 10-14 respectively vs. 4·10%). The Khorana score was found to be associated with increased risk, as were vascular disease and metastases. We found an association between risk of thrombosis and the use of anticoagulation, accounting for several confounders, including history of thrombosis. Further study is warranted to better determine the drivers of thromboembolic risk and to identify ways to mitigate this risk for patients.
Collapse
Affiliation(s)
| | | | - Michael J Conlin
- VA Portland Healthcare System, Portland, OR, USA.,Oregon Health and Science University, Portland, OR, USA
| | - Kenneth R Gundle
- VA Portland Healthcare System, Portland, OR, USA.,Oregon Health and Science University, Portland, OR, USA
| | - Reid F Thompson
- VA Portland Healthcare System, Portland, OR, USA.,Oregon Health and Science University, Portland, OR, USA
| | - David C Calverley
- VA Portland Healthcare System, Portland, OR, USA.,BC Cancer Agency Vancouver Centre and Division of Medical Oncology, University of British Columbia, Vancouver, BC, Canada
| |
Collapse
|
26
|
Ebrahimi R, Lynch KE, Beckham JC, Dennis PA, Viernes B, Tseng CH, Shroyer ALW, Sumner JA. Association of Posttraumatic Stress Disorder and Incident Ischemic Heart Disease in Women Veterans. JAMA Cardiol 2021; 6:642-651. [PMID: 33729463 DOI: 10.1001/jamacardio.2021.0227] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Importance Posttraumatic stress disorder (PTSD) is associated with greater risk of ischemic heart disease (IHD) in predominantly male populations or limited community samples. Women veterans represent a growing, yet understudied, population with high levels of trauma exposure and unique cardiovascular risks, but research on PTSD and IHD in this group is lacking. Objective To determine whether PTSD is associated with incident IHD in women veterans. Design, Setting, and Participants In this retrospective, longitudinal cohort study of the national Veterans Health Administration (VHA) electronic medical records, the a priori hypothesis that PTSD would be associated with greater risk of IHD onset was tested. Women veterans 18 years or older with and without PTSD who were patients in the VHA from January 1, 2000, to December 31, 2017, were assessed for study eligibility. Exclusion criteria consisted of no VHA clinical encounters after the index visit, IHD diagnosis at or before the index visit, and IHD diagnosis within 90 days of the index visit. Propensity score matching on age at index visit, number of prior visits, and presence of traditional and female-specific cardiovascular risk factors and mental and physical health conditions was conducted to identify women veterans ever diagnosed with PTSD, who were matched in a 1:2 ratio to those never diagnosed with PTSD. Data were analyzed from October 1, 2018, to October 30, 2020. Exposures PTSD, defined by International Classification of Diseases, Ninth Revision (ICD-9), or International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10), diagnosis codes from inpatient or outpatient encounters. Main Outcomes and Measures Incident IHD, defined as new-onset coronary artery disease, angina, or myocardial infarction, based on ICD-9 and ICD-10 diagnosis codes from inpatient or outpatient encounters, and/or coronary interventions based on Current Procedural Terminology codes. Results A total of 398 769 women veterans, 132 923 with PTSD and 265 846 never diagnosed with PTSD, were included in the analysis. Baseline mean (SD) age was 40.1 (12.2) years. During median follow-up of 4.9 (interquartile range, 2.1-9.2) years, 4381 women with PTSD (3.3%) and 5559 control individuals (2.1%) developed incident IHD. In a Cox proportional hazards model, PTSD was significantly associated with greater risk of developing IHD (hazard ratio [HR], 1.44; 95% CI, 1.38-1.50). Secondary stratified analyses indicated that younger age identified women veterans with PTSD who were at greater risk of incident IHD. Effect sizes were largest for those younger than 40 years at baseline (HR, 1.72; 95% CI, 1.55-1.93) and decreased monotonically with increasing age (HR for ≥60 years, 1.24; 95% CI, 1.12-1.38). Conclusions and Relevance This cohort study found that PTSD was associated with increased risk of IHD in women veterans and may have implications for IHD risk assessment in vulnerable individuals.
Collapse
Affiliation(s)
- Ramin Ebrahimi
- Department of Medicine, Cardiology Section, Veterans Affairs Greater Los Angeles Health Care System, Los Angeles, California.,Department of Medicine, UCLA (University of California, Los Angeles)
| | - Kristine E Lynch
- Department of Medicine, Veterans Affairs Salt Lake City Health Care System, Salt Lake City, Utah.,Department of Internal Medicine, University of Utah, Salt Lake City
| | - Jean C Beckham
- Department of Psychiatry, Durham Veterans Affairs Medical Center, Durham, North Carolina.,Department of Psychology, Duke School of Medicine, Durham, North Carolina
| | - Paul A Dennis
- Department of Psychiatry, Durham Veterans Affairs Medical Center, Durham, North Carolina.,Department of Psychology, Duke School of Medicine, Durham, North Carolina
| | - Benjamin Viernes
- Department of Medicine, Veterans Affairs Salt Lake City Health Care System, Salt Lake City, Utah.,Department of Internal Medicine, University of Utah, Salt Lake City
| | - Chi-Hong Tseng
- Department of Medicine, UCLA (University of California, Los Angeles)
| | - A Laurie W Shroyer
- Department of Surgery, Northport Veterans Affairs Medical Center, Northport, New York.,Department of Surgery, Renaissance School of Medicine, Stony Brook University, Stony Brook, New York
| | | |
Collapse
|
27
|
Zevallos JP, Kramer JR, Sandulache VC, Massa ST, Hartman CM, Mazul AL, Wahle BM, Gerndt SP, Sturgis EM, Chiao EY. National trends in oropharyngeal cancer incidence and survival within the Veterans Affairs Health Care System. Head Neck 2020; 43:108-115. [PMID: 32918302 DOI: 10.1002/hed.26465] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Revised: 06/16/2020] [Accepted: 08/26/2020] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Oropharyngeal squamous cell carcinoma (OPSCC) epidemiology has not been examined previously in the nationwide Veterans Affairs (VA) population. METHODS Joinpoint regression analysis was applied to OPSCC cases identified from VA administrative data from 2000 to 2012. RESULTS We identified 12 125 OPSCC cases (incidence: 12.2 of 100 000 persons). OPSCC incidence declined between 2000 and 2006 (annual percent change [APC] = -4.27, P < .05), then increased between 2006 and 2012 (APC = 7.02, P < .05). Significant incidence increases occurred among white (APC = 7.19, P < .05) and African American (APC = 4.87, P < .05) Veterans and across all age cohorts. The percentage of never-smokers increased from 8% in 2000 to 15.7% in 2012 (P < .001), and 2-year overall survival improved from 31.2% (95% confidence interval (CI) [30-33.4]) to 55.7% (95% CI [54.4-57.1]). CONCLUSIONS OPSCC incidence is increasing across all racial and age cohorts in the VA population. Smoking rates remain high among Veterans with OPSCC and gains in survival lag those reported in the general population.
Collapse
Affiliation(s)
- Jose P Zevallos
- Department of Otolaryngology - Head and Neck Surgery, Washington University School of Medicine, St. Louis, Missouri, USA.,John Cochran Veterans Affairs Medical Center, St. Louis, Missouri, USA
| | - Jennifer R Kramer
- VA Health Services Research and Development Center for Innovations in Quality, Effectiveness, and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas, USA.,Department of Medicine, Baylor College of Medicine, Houston, Texas, USA
| | - Vlad C Sandulache
- ENT Section, Operative Care Line, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas, USA.,Bobby R. Alford Department of Otolaryngology-Head and Neck Surgery, Baylor College of Medicine, Houston, Texas, USA.,Center for Translational Research on Inflammatory Disease (CTRID), Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas, USA
| | - Sean T Massa
- Department of Otolaryngology - Head and Neck Surgery, Washington University School of Medicine, St. Louis, Missouri, USA.,John Cochran Veterans Affairs Medical Center, St. Louis, Missouri, USA
| | - Christine M Hartman
- VA Health Services Research and Development Center for Innovations in Quality, Effectiveness, and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas, USA
| | - Angela L Mazul
- Department of Otolaryngology - Head and Neck Surgery, Washington University School of Medicine, St. Louis, Missouri, USA.,John Cochran Veterans Affairs Medical Center, St. Louis, Missouri, USA
| | - Benjamin M Wahle
- Department of Otolaryngology - Head and Neck Surgery, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Sophie P Gerndt
- Department of Otolaryngology - Head and Neck Surgery, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Erich M Sturgis
- ENT Section, Operative Care Line, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas, USA.,Bobby R. Alford Department of Otolaryngology-Head and Neck Surgery, Baylor College of Medicine, Houston, Texas, USA
| | - Elizabeth Y Chiao
- VA Health Services Research and Development Center for Innovations in Quality, Effectiveness, and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas, USA.,Department of Medicine, Baylor College of Medicine, Houston, Texas, USA
| |
Collapse
|