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Advanced Imaging Techniques Use in Giant Cell Arteritis Diagnosis: The Experience at Walter Reed National Military Medical Center
Advanced Imaging Techniques Use in Giant Cell Arteritis Diagnosis: The Experience at Walter Reed National Military Medical Center
Giant cell arteritis (GCA), the most commonly diagnosed systemic vasculitis, is a large- and medium-vessel vasculitis that can lead to significant morbidity due to aneurysm formation or vascular occlusion if not diagnosed in a timely manner.1,2 Diagnosis is typically based on clinical history and inflammatory markers. Laboratory inflammatory markers may be normal in the early stages of GCA but can be abnormal due to other unrelated reasons leading to a false positive diagnosis.3 Delayed treatment may lead to visual loss, jaw or limb claudication, or ischemic stroke.2 Initial treatment typically includes high-dose steroids that can lead to significant adverse reactions such as hypothalamic-pituitary-adrenal axis dysfunction, metabolic syndrome, premature atherosclerosis, and increased risk of infection.4-6
The 1990 American College of Rheumatology (ACR) criteria for GCA are widely recognized (Table 1).7 The criteria focuses on clinical manifestations, including new onset headache, temporal artery tenderness, age ≥ 50 years, erythrocyte sedimentation rate (ESR) ≥ 50 mm/hr, and temporal artery biopsy with positive anatomical findings.8 When 3 of the 5 1990 ACR criteria are present, the sensitivity and specificity is estimated to be > 90% for GCA vs alternative vasculitides.7

Although the 1990 ACR criteria do not include imaging, modalities such as ultrasound, computed tomography angiography (CTA), 18F-FDG positron emission tomography (PET), and magnetic resonance imaging (MRI)/magnetic resonance angiography (MRA) may be used in GCA diagnosis.8-10 These imaging modalities have been added to the proposed ACR classification criteria for GCA.11 For this updated point system standard, age ≥ 50 years is a requirement and includes a positive temporal artery biopsy or temporal artery halo sign on ultrasound (+5 points), an ESR ≥ 50 mm/h or C-reactive protein (CRP) ≥ 10 mg/L (+3 points), or sudden visual loss (+3 points). Scalp tenderness, jaw or tongue claudication, new temporal headache, morning stiffness in shoulders or neck, temporal artery abnormality on vascular examination, bilateral axillary vessel involvement on imaging, and 18F-FDG PET activity throughout the aorta are scored +2 points each. With these new criteria, a cumulative score ≥ 6 is classified as GCA. Diagnostic accuracy is further improved with imaging: ultrasonography (sensitivity 55% and specificity 95%) and 18F-FDG PET (sensitivity 69% and specificity 92%), CTA (sensitivity 71% and specificity 86%), and MRI/MRA (sensitivity 73% and specificity 88%).12-15
In recent years, clinicians have reported increased glucose uptake in arteries observed on PET imaging that suggests GCA.9,10,16-20 18F-FDG accumulates in cells with high metabolic activity rates, such as areas of inflammation. In assessing temporal arteries or other involved vasculature (eg, axillary or great vessels) for GCA, this modality indicates increased glucose uptake in the lining of vessel walls. The inflammation of vessel walls can then be visualized with PET. 18F-FDG PET presents a noninvasive imaging technique for evaluating GCA but its use has been limited in the United States due to its high cost.
Methods
Approval for a retrospective chart review of patients evaluated for suspected GCA was obtained from the Walter Reed National Military Medical Center (WRNMMC) Institutional Review Board. The review included patients who underwent diagnostic procedures such as ultrasound, MRI, CT angiogram, and PET studies from 2016 through 2022. International Classification of Diseases codes used for case identification included: M31.6, M31.5, I77.6, I77.8, I77.89, I67.7, and I68.2. The Current Procedural Terminology code used for temporal artery biopsy is 37609.
Results
Seventy-eight charts were reviewed and 42 patients (54%) were diagnosed with GCA (Table 2). This study sample had a much higher proportion of African American subjects (31%) when compared with the civilian population, likely reflecting the higher representation of African Americans in the armed forces. Twenty-eight females (67%) were GCA positive. The most common presenting symptoms included 27 patients (64%) with headache, 17 (40%) with scalp tenderness, and 14 (33%) with jaw pain. The mean 1990 ACR score was 3.8 (range, 2-5). With respect to the score criteria: 41 patients (98%) were aged ≥ 50 years, 31 (74%) had new onset headache, and 31 (74%) had elevated ESR (Table 3). Acute ischemic optic neuropathy was documented in 4 patients (10%) with confirmed GCA. The mean ESR and CRP values at diagnosis were 66.2 mm/h (range, 7-122 mm/h) and 8.711 μg/mL (range, 0.054 – 92.690 μg/mL), respectively. Twenty-seven patients (64%) underwent biopsy: 24 (89%) were unilateral and 3 (11%) were bilateral (Table 4). Four patients with GCA (10%) were missing biopsy data. Nineteen patients with GCA (70%) had biopsies with pathologic findings consistent with GCA.



Twenty-five patients with GCA (60%) received ≥ 1 imaging modality. The most common imaging modality was MRI, which was used for 18 (43%) patients. Fourteen patients (33%) had 18F-FDG PET, 12 patients (29%) had MRA, and 11 patients (26%) had CTA. The small number of patients who underwent point-of-care ultrasound (POCUS), brain MRI, or dark blood MRI were negative for disease. Five patients who underwent 18F-FDG PET had findings consistent with GCA. One patient with GCA had CTA of the head and neck with radiographic findings supportive of GCA.
Discussion
The available evidence supports the use of additional screening tests to increase the temporal artery biopsy yield for GCA. Inflammatory laboratory markers demonstrate some sensitivity but are nonspecific for GCA. In this study, only 60% of patients with GCA underwent diagnostic imaging as part of the workup. There are multiple factors that may contribute to the underutilization of advanced imaging in the diagnosis of GCA, including outdated standardized diagnostic criteria, limited resources (direct access to modalities), and lack of clinician awareness of diagnostic testing options. In this retrospective review, 30 patients (71%) were diagnosed with GCA with a 1990 ACR GCA score ≤ 3. Of these 30 patients, 19 underwent confirmatory biopsy followed by prolonged courses of steroid therapy. In addition, only 25 patients underwent advanced imaging to increase diagnostic accuracy of the suspected syndrome.
A large meta-analysis demonstrated a sensitivity of 77.3% (95% CI, 71.8-81.9%) for temporal artery biopsy.21 The overall yield was 40% in the meta-analysis. Advanced noninvasive imaging represents an appropriate method of evaluating GCA.8-20 In our study, 18F-FDG PET demonstrated the highest sensitivity (36%) for the diagnosis of GCA. Ultrasonography is recommended as an initial screening tool to identify the noncompressible halo sign (a hypoechoic circumferential wall thickening due to edema) as a cost-effective and widely available technology.22 Other research has corroborated the beneficial use of ultrasonography in improving diagnostic accuracy by detecting the noncompressible halo sign in temporal arteries.22,23 GCA diagnostic performance has been significantly improved with the use of B-mode probes ≥ 15 MHz as well as proposals to incorporate a compression sign or interrogating the axillary vessels, showing a sensitivity of 54% to 77%.23,24
POCUS may reduce the risk of a false-negative biopsy and improve yield with more frequent utilization. However, ultrasonography may be limited by operator skills and visualization of the great vessels. The accuracy of ultrasonography is dependent on the experience and adeptness of the operator. Additional studies are needed to establish a systematic standard for POCUS training to ensure accurate interpretation and uniform interrogation procedure.24 Artificial intelligence (AI) may aid in interpreting results of POCUS and bridging the operator skill gap among operators.25,26 AI and machine learning techniques can assist in detecting the noncompressible halo sign and compression sign in temporal arteries and other affected vessels.
In comparing the WRNMMC patient population with other US civilian GCA cohorts, there are some differences and similarities. There was a high representation of African American patients in the study, which may reflect a greater severity of autoimmune disease expression in this population.27 We also observed a higher number of females and an association with polymyalgia rheumatica in the data, consistent with previous reports.28,29 The females in this study were primarily civilians and therefore more similar to the general population of individuals with GCA. In contrast, male patients were more likely to be active-duty service members or have prior service experience with increased exposure to novel environmental factors linked to increased risk of autoimmune disease. This includes an increased risk of Guillain-Barré syndrome and Graves disease among Vietnam veterans exposed to Agent Orange.30,31 Other studies have found that veterans with posttraumatic stress disorder are at increased risk for severe autoimmune diseases.32,33 As more women join the active-duty military, the impact of autoimmune disease in the military service population is expected to grow, requiring further research.
Conclusions
Early diagnosis and treatment of GCA are critical to preventing serious outcomes, such as visual loss, jaw or limb claudication, or ischemic stroke. The incidence of autoimmune disease is expected to rise in the armed forces and veteran populations due to exposure to novel environmental factors and the increasing representation of women in the military. The use of additional screening tools can aid in earlier diagnosis of GCA. The 2022 ACR classification criteria for GCA represent significant updates to the 1990 criteria, incorporating ancillary tests such as the temporal artery halo sign on ultrasound, bilateral axillary vessel screening on imaging, and 18F-FDG PET activity throughout the aorta. The updated criteria require further validation and supports the adoption of a multidisciplinary approach that includes ultrasonography, vascular MRI/CT, and 18F-FDG PET. Furthermore, AI may play a future key role in ultrasound interpretation and study interrogation procedure. Ultimately, ultrasonography is a noninvasive and promising technique for the early diagnosis of GCA. A target goal is to increase the yield of positive temporal artery biopsies to ≥ 70%.
- Jennette JC. Overview of the 2012 revised International Chapel Hill Consensus Conference nomenclature of vasculitides. Clin Exp Nephrol. 2013;17:603-606. doi:10.1007/s10157-013-0869-6
- Kale N, Eggenberger E. Diagnosis and management of giant cell arteritis: a review. Curr Opin Ophthalmol. 2010;21:417-422. doi:10.1097/ICU.0b013e32833eae8b
- Smetana GW, Shmerling RH. Does this patient have temporal arteritis? JAMA. 2002;287:92-101.
- Schäcke H, Döcke WD, Asadullah K. Mechanisms involved in the side effects of glucocorticoids. Pharmacol Ther. 2002;96:23-43. doi:10.1016/s0163-7258(02)00297-8
- Curtis JR, Patkar N, Xie A, et al. Risk of serious bacterial infections among rheumatoid arthritis patients exposed to tumor necrosis factor alpha antagonists. Arthritis Rheum. 2007;56:1125-1133. doi:10.1002/art.22504
- Hoes JN, van der Goes MC, van Raalte DH, et al. Glucose tolerance, insulin sensitivity and ß-cell function in patients with rheumatoid arthritis treated with or without low-to-medium dose glucocorticoids. Ann Rheum Dis. 2011;70:1887-1894. doi:10.1136/ard.2011.151464
- Hunder GG, Bloch DA, Michel BA, et al. The American College of Rheumatology 1990 criteria for the classification of giant cell arteritis. Arthritis Rheum. 1990;33:1122-1128. doi:10.1002/art.1780330810
- Dejaco C, Duftner C, Buttgereit F, Matteson EL, Dasgupta B. The spectrum of giant cell arteritis and polymyalgia rheumatica: revisiting the concept of the disease. Rheumatology (Oxford). 2017;56:506-515. doi:10.1093/rheumatology/kew273
- Slart RHJ, Nienhuis PH, Glaudemans AWJM, et al. Role of 18F-FDG PET/CT in large vessel vasculitis and polymyalgia rheumatica. J Nucl Med. 2023;64:515-521. doi:10.2967/jnumed.122.265016
- Shimol JB, Amital H, Lidar M, Domachevsky L, Shoenfeld Y, Davidson T. The utility of PET/CT in large vessel vasculitis. Sci Rep. 2020;10:17709. doi:10.1038/s41598-020-73818-2
- Ponte C, Grayson PC, Robson JC, et al. 2022 American College of Rheumatology/EULAR Classification Criteria for Giant Cell Arteritis. Arthritis Rheumatol. 2022;74:1881-1889. doi:10.1002/art.42325
- He J, Williamson L, Ng B, et al. The diagnostic accuracy of temporal artery ultrasound and temporal artery biopsy in giant cell arteritis: a single center Australian experience over 10 years. Int J Rheum Dis. 2022;25:447-453. doi:10.1111/1756-185X.14288
- Stellingwerff MD, Brouwer E, Lensen KDF, et al. Different scoring methods of FDG PET/CT in giant cell arteritis: need for standardization. Medicine (Baltimore). 2015;94:e1542. doi:10.1097/MD.0000000000001542
- Conway R, Smyth AE, Kavanagh RG, et al. Diagnostic utility of computed tomographic angiography in giant-cell arteritis. Stroke. 2018;49:2233-2236. doi:10.1161/STROKEAHA.118.021995
- Duftner C, Dejaco C, Sepriano A, et al. Imaging in diagnosis, outcome prediction and monitoring of large vessel vasculitis: a systematic literature review and meta-analysis informing the EULAR recommendations. RMD Open. 2018;4:e000612. doi:10.1136/rmdopen-2017-000612
- Rehak Z, Vasina J, Ptacek J, et al. PET/CT in giant cell arteritis: high 18F-FDG uptake in the temporal, occipital and vertebral arteries. Rev Esp Med Nucl Imagen Mol. 2016;35:398-401. doi:10.1016/j.remn.2016.03.007
- Salvarani C, Soriano A, Muratore F, et al. Is PET/CT essential in the diagnosis and follow-up of temporal arteritis? Autoimmun Rev. 2017;16:1125-1130. doi:10.1016/j.autrev.2017.09.007
- Brodmann M, Lipp RW, Passath A, et al. The role of 2-18F-fluoro-2-deoxy-D-glucose positron emission tomography in the diagnosis of giant cell arteritis of the temporal arteries. Rheumatology (Oxford). 2004;43:241-242. doi:10.1093/rheumatology/keh025
- Flaus A, Granjon D, Habouzit V, Gaultier JB, Prevot-Bitot N. Unusual and diffuse hypermetabolism in routine 18F-FDG PET/CT of the supra-aortic vessels in biopsy-positive giant cell arteritis. Clin Nucl Med. 2018;43:e336-e337. doi:10.1097/RLU.0000000000002198
- Berger CT, Sommer G, Aschwanden M, et al. The clinical benefit of imaging in the diagnosis and treatment of giant cell arteritis. Swiss Med Wkly. 2018;148:w14661. doi:10.4414/smw.2018.14661
- Rubenstein E, Maldini C, Gonzalez-Chiappe S, et al. Sensitivity of temporal artery biopsy in the diagnosis of giant cell arteritis: a systematic literature review and meta-analysis. Rheumatology (Oxford). 2020;59:1011-1020. doi:10.1093/rheumatology/kez385
- Tsivgoulis G, Heliopoulos I, Vadikolias K, et al. Teaching neuroimages: ultrasound findings in giant-cell arteritis. Neurology. 2010;75:e67-e68. doi:10.1212/WNL.0b013e3181f881e9
- Nakajima E, Moon FH, Canvas Jr N, et al. Accuracy of Doppler ultrasound in the diagnosis of giant cell arteritis: a systematic review and meta-analysis. Adv Rheumatol. 2023;63:5. doi:10.1186/s42358-023-00286-3
- Naumegni SR, Hoffmann C, Cornec D, et al. Temporal artery ultrasound to diagnose giant cell arteritis: a practical guide. Ultrasound Med Biol. 2021;47:201-213. doi:10.1016/j.ultrasmedbio.2020.10.004
- Kim YH. Artificial intelligence in medical ultrasonography: driving on an unpaved road. Ultrasonography. 2021;40:313-317. doi:10.14366/usg.21031
- Sultan LR, Mohamed MH, Andronikou S. ChatGPT-4: a breakthrough in ultrasound image analysis. Radiol Adv. 2024;1:umae006. doi:10.1093/radadv/umae006
- Cipriani VP, Klein S. Clinical characteristics of multiple sclerosis in African-Americans. Curr Neurol Neurosci Rep. 2019;19:87. doi:10.1007/s11910-019-1000-5
- Sturm A, Dechant C, Proft F, et al. Gender differences in giant cell arteritis: a case-control study. Clin Exp Rheumatol. 2016;34:S70-72.
- Li KJ, Semenov D, Turk M, et al. A meta-analysis of the epidemiology of giant cell arteritis across time and space. Arthritis Res Ther. 2021;23:82. doi:10.1186/s13075-021-02450-w
- Nelson L, Gormley R, Riddle MS, Tribble DR, Porter CK. The epidemiology of Guillain-Barré syndrome in U.S. military personnel: a case-control study. BMC Res Notes. 2009;2:171. doi:10.1186/1756-0500-2-171
- Spaulding SW. The possible roles of environmental factors and the aryl hydrocarbon receptor in the prevalence of thyroid diseases in Vietnam era veterans. Curr Opin Endocrinol Diabetes Obes. 2011;18:315-320.
- O’Donovan A, Cohen BE, Seal KH, et al. Elevated risk for autoimmune disorders in Iraq and Afghanistan veterans with posttraumatic stress disorder. Biol Psychiatry. 2015;77:365-374. doi:10.1016/j.biopsych.2014.06.015
- Bookwalter DB, Roenfeldt KA, LeardMann CA, Kong SY, Riddle MS, Rull RP. Posttraumatic stress disorder and risk of selected autoimmune diseases among US military personnel. BMC Psychiatry. 2020;20:23. doi:10.1186/s12888-020-2432-9
Giant cell arteritis (GCA), the most commonly diagnosed systemic vasculitis, is a large- and medium-vessel vasculitis that can lead to significant morbidity due to aneurysm formation or vascular occlusion if not diagnosed in a timely manner.1,2 Diagnosis is typically based on clinical history and inflammatory markers. Laboratory inflammatory markers may be normal in the early stages of GCA but can be abnormal due to other unrelated reasons leading to a false positive diagnosis.3 Delayed treatment may lead to visual loss, jaw or limb claudication, or ischemic stroke.2 Initial treatment typically includes high-dose steroids that can lead to significant adverse reactions such as hypothalamic-pituitary-adrenal axis dysfunction, metabolic syndrome, premature atherosclerosis, and increased risk of infection.4-6
The 1990 American College of Rheumatology (ACR) criteria for GCA are widely recognized (Table 1).7 The criteria focuses on clinical manifestations, including new onset headache, temporal artery tenderness, age ≥ 50 years, erythrocyte sedimentation rate (ESR) ≥ 50 mm/hr, and temporal artery biopsy with positive anatomical findings.8 When 3 of the 5 1990 ACR criteria are present, the sensitivity and specificity is estimated to be > 90% for GCA vs alternative vasculitides.7

Although the 1990 ACR criteria do not include imaging, modalities such as ultrasound, computed tomography angiography (CTA), 18F-FDG positron emission tomography (PET), and magnetic resonance imaging (MRI)/magnetic resonance angiography (MRA) may be used in GCA diagnosis.8-10 These imaging modalities have been added to the proposed ACR classification criteria for GCA.11 For this updated point system standard, age ≥ 50 years is a requirement and includes a positive temporal artery biopsy or temporal artery halo sign on ultrasound (+5 points), an ESR ≥ 50 mm/h or C-reactive protein (CRP) ≥ 10 mg/L (+3 points), or sudden visual loss (+3 points). Scalp tenderness, jaw or tongue claudication, new temporal headache, morning stiffness in shoulders or neck, temporal artery abnormality on vascular examination, bilateral axillary vessel involvement on imaging, and 18F-FDG PET activity throughout the aorta are scored +2 points each. With these new criteria, a cumulative score ≥ 6 is classified as GCA. Diagnostic accuracy is further improved with imaging: ultrasonography (sensitivity 55% and specificity 95%) and 18F-FDG PET (sensitivity 69% and specificity 92%), CTA (sensitivity 71% and specificity 86%), and MRI/MRA (sensitivity 73% and specificity 88%).12-15
In recent years, clinicians have reported increased glucose uptake in arteries observed on PET imaging that suggests GCA.9,10,16-20 18F-FDG accumulates in cells with high metabolic activity rates, such as areas of inflammation. In assessing temporal arteries or other involved vasculature (eg, axillary or great vessels) for GCA, this modality indicates increased glucose uptake in the lining of vessel walls. The inflammation of vessel walls can then be visualized with PET. 18F-FDG PET presents a noninvasive imaging technique for evaluating GCA but its use has been limited in the United States due to its high cost.
Methods
Approval for a retrospective chart review of patients evaluated for suspected GCA was obtained from the Walter Reed National Military Medical Center (WRNMMC) Institutional Review Board. The review included patients who underwent diagnostic procedures such as ultrasound, MRI, CT angiogram, and PET studies from 2016 through 2022. International Classification of Diseases codes used for case identification included: M31.6, M31.5, I77.6, I77.8, I77.89, I67.7, and I68.2. The Current Procedural Terminology code used for temporal artery biopsy is 37609.
Results
Seventy-eight charts were reviewed and 42 patients (54%) were diagnosed with GCA (Table 2). This study sample had a much higher proportion of African American subjects (31%) when compared with the civilian population, likely reflecting the higher representation of African Americans in the armed forces. Twenty-eight females (67%) were GCA positive. The most common presenting symptoms included 27 patients (64%) with headache, 17 (40%) with scalp tenderness, and 14 (33%) with jaw pain. The mean 1990 ACR score was 3.8 (range, 2-5). With respect to the score criteria: 41 patients (98%) were aged ≥ 50 years, 31 (74%) had new onset headache, and 31 (74%) had elevated ESR (Table 3). Acute ischemic optic neuropathy was documented in 4 patients (10%) with confirmed GCA. The mean ESR and CRP values at diagnosis were 66.2 mm/h (range, 7-122 mm/h) and 8.711 μg/mL (range, 0.054 – 92.690 μg/mL), respectively. Twenty-seven patients (64%) underwent biopsy: 24 (89%) were unilateral and 3 (11%) were bilateral (Table 4). Four patients with GCA (10%) were missing biopsy data. Nineteen patients with GCA (70%) had biopsies with pathologic findings consistent with GCA.



Twenty-five patients with GCA (60%) received ≥ 1 imaging modality. The most common imaging modality was MRI, which was used for 18 (43%) patients. Fourteen patients (33%) had 18F-FDG PET, 12 patients (29%) had MRA, and 11 patients (26%) had CTA. The small number of patients who underwent point-of-care ultrasound (POCUS), brain MRI, or dark blood MRI were negative for disease. Five patients who underwent 18F-FDG PET had findings consistent with GCA. One patient with GCA had CTA of the head and neck with radiographic findings supportive of GCA.
Discussion
The available evidence supports the use of additional screening tests to increase the temporal artery biopsy yield for GCA. Inflammatory laboratory markers demonstrate some sensitivity but are nonspecific for GCA. In this study, only 60% of patients with GCA underwent diagnostic imaging as part of the workup. There are multiple factors that may contribute to the underutilization of advanced imaging in the diagnosis of GCA, including outdated standardized diagnostic criteria, limited resources (direct access to modalities), and lack of clinician awareness of diagnostic testing options. In this retrospective review, 30 patients (71%) were diagnosed with GCA with a 1990 ACR GCA score ≤ 3. Of these 30 patients, 19 underwent confirmatory biopsy followed by prolonged courses of steroid therapy. In addition, only 25 patients underwent advanced imaging to increase diagnostic accuracy of the suspected syndrome.
A large meta-analysis demonstrated a sensitivity of 77.3% (95% CI, 71.8-81.9%) for temporal artery biopsy.21 The overall yield was 40% in the meta-analysis. Advanced noninvasive imaging represents an appropriate method of evaluating GCA.8-20 In our study, 18F-FDG PET demonstrated the highest sensitivity (36%) for the diagnosis of GCA. Ultrasonography is recommended as an initial screening tool to identify the noncompressible halo sign (a hypoechoic circumferential wall thickening due to edema) as a cost-effective and widely available technology.22 Other research has corroborated the beneficial use of ultrasonography in improving diagnostic accuracy by detecting the noncompressible halo sign in temporal arteries.22,23 GCA diagnostic performance has been significantly improved with the use of B-mode probes ≥ 15 MHz as well as proposals to incorporate a compression sign or interrogating the axillary vessels, showing a sensitivity of 54% to 77%.23,24
POCUS may reduce the risk of a false-negative biopsy and improve yield with more frequent utilization. However, ultrasonography may be limited by operator skills and visualization of the great vessels. The accuracy of ultrasonography is dependent on the experience and adeptness of the operator. Additional studies are needed to establish a systematic standard for POCUS training to ensure accurate interpretation and uniform interrogation procedure.24 Artificial intelligence (AI) may aid in interpreting results of POCUS and bridging the operator skill gap among operators.25,26 AI and machine learning techniques can assist in detecting the noncompressible halo sign and compression sign in temporal arteries and other affected vessels.
In comparing the WRNMMC patient population with other US civilian GCA cohorts, there are some differences and similarities. There was a high representation of African American patients in the study, which may reflect a greater severity of autoimmune disease expression in this population.27 We also observed a higher number of females and an association with polymyalgia rheumatica in the data, consistent with previous reports.28,29 The females in this study were primarily civilians and therefore more similar to the general population of individuals with GCA. In contrast, male patients were more likely to be active-duty service members or have prior service experience with increased exposure to novel environmental factors linked to increased risk of autoimmune disease. This includes an increased risk of Guillain-Barré syndrome and Graves disease among Vietnam veterans exposed to Agent Orange.30,31 Other studies have found that veterans with posttraumatic stress disorder are at increased risk for severe autoimmune diseases.32,33 As more women join the active-duty military, the impact of autoimmune disease in the military service population is expected to grow, requiring further research.
Conclusions
Early diagnosis and treatment of GCA are critical to preventing serious outcomes, such as visual loss, jaw or limb claudication, or ischemic stroke. The incidence of autoimmune disease is expected to rise in the armed forces and veteran populations due to exposure to novel environmental factors and the increasing representation of women in the military. The use of additional screening tools can aid in earlier diagnosis of GCA. The 2022 ACR classification criteria for GCA represent significant updates to the 1990 criteria, incorporating ancillary tests such as the temporal artery halo sign on ultrasound, bilateral axillary vessel screening on imaging, and 18F-FDG PET activity throughout the aorta. The updated criteria require further validation and supports the adoption of a multidisciplinary approach that includes ultrasonography, vascular MRI/CT, and 18F-FDG PET. Furthermore, AI may play a future key role in ultrasound interpretation and study interrogation procedure. Ultimately, ultrasonography is a noninvasive and promising technique for the early diagnosis of GCA. A target goal is to increase the yield of positive temporal artery biopsies to ≥ 70%.
Giant cell arteritis (GCA), the most commonly diagnosed systemic vasculitis, is a large- and medium-vessel vasculitis that can lead to significant morbidity due to aneurysm formation or vascular occlusion if not diagnosed in a timely manner.1,2 Diagnosis is typically based on clinical history and inflammatory markers. Laboratory inflammatory markers may be normal in the early stages of GCA but can be abnormal due to other unrelated reasons leading to a false positive diagnosis.3 Delayed treatment may lead to visual loss, jaw or limb claudication, or ischemic stroke.2 Initial treatment typically includes high-dose steroids that can lead to significant adverse reactions such as hypothalamic-pituitary-adrenal axis dysfunction, metabolic syndrome, premature atherosclerosis, and increased risk of infection.4-6
The 1990 American College of Rheumatology (ACR) criteria for GCA are widely recognized (Table 1).7 The criteria focuses on clinical manifestations, including new onset headache, temporal artery tenderness, age ≥ 50 years, erythrocyte sedimentation rate (ESR) ≥ 50 mm/hr, and temporal artery biopsy with positive anatomical findings.8 When 3 of the 5 1990 ACR criteria are present, the sensitivity and specificity is estimated to be > 90% for GCA vs alternative vasculitides.7

Although the 1990 ACR criteria do not include imaging, modalities such as ultrasound, computed tomography angiography (CTA), 18F-FDG positron emission tomography (PET), and magnetic resonance imaging (MRI)/magnetic resonance angiography (MRA) may be used in GCA diagnosis.8-10 These imaging modalities have been added to the proposed ACR classification criteria for GCA.11 For this updated point system standard, age ≥ 50 years is a requirement and includes a positive temporal artery biopsy or temporal artery halo sign on ultrasound (+5 points), an ESR ≥ 50 mm/h or C-reactive protein (CRP) ≥ 10 mg/L (+3 points), or sudden visual loss (+3 points). Scalp tenderness, jaw or tongue claudication, new temporal headache, morning stiffness in shoulders or neck, temporal artery abnormality on vascular examination, bilateral axillary vessel involvement on imaging, and 18F-FDG PET activity throughout the aorta are scored +2 points each. With these new criteria, a cumulative score ≥ 6 is classified as GCA. Diagnostic accuracy is further improved with imaging: ultrasonography (sensitivity 55% and specificity 95%) and 18F-FDG PET (sensitivity 69% and specificity 92%), CTA (sensitivity 71% and specificity 86%), and MRI/MRA (sensitivity 73% and specificity 88%).12-15
In recent years, clinicians have reported increased glucose uptake in arteries observed on PET imaging that suggests GCA.9,10,16-20 18F-FDG accumulates in cells with high metabolic activity rates, such as areas of inflammation. In assessing temporal arteries or other involved vasculature (eg, axillary or great vessels) for GCA, this modality indicates increased glucose uptake in the lining of vessel walls. The inflammation of vessel walls can then be visualized with PET. 18F-FDG PET presents a noninvasive imaging technique for evaluating GCA but its use has been limited in the United States due to its high cost.
Methods
Approval for a retrospective chart review of patients evaluated for suspected GCA was obtained from the Walter Reed National Military Medical Center (WRNMMC) Institutional Review Board. The review included patients who underwent diagnostic procedures such as ultrasound, MRI, CT angiogram, and PET studies from 2016 through 2022. International Classification of Diseases codes used for case identification included: M31.6, M31.5, I77.6, I77.8, I77.89, I67.7, and I68.2. The Current Procedural Terminology code used for temporal artery biopsy is 37609.
Results
Seventy-eight charts were reviewed and 42 patients (54%) were diagnosed with GCA (Table 2). This study sample had a much higher proportion of African American subjects (31%) when compared with the civilian population, likely reflecting the higher representation of African Americans in the armed forces. Twenty-eight females (67%) were GCA positive. The most common presenting symptoms included 27 patients (64%) with headache, 17 (40%) with scalp tenderness, and 14 (33%) with jaw pain. The mean 1990 ACR score was 3.8 (range, 2-5). With respect to the score criteria: 41 patients (98%) were aged ≥ 50 years, 31 (74%) had new onset headache, and 31 (74%) had elevated ESR (Table 3). Acute ischemic optic neuropathy was documented in 4 patients (10%) with confirmed GCA. The mean ESR and CRP values at diagnosis were 66.2 mm/h (range, 7-122 mm/h) and 8.711 μg/mL (range, 0.054 – 92.690 μg/mL), respectively. Twenty-seven patients (64%) underwent biopsy: 24 (89%) were unilateral and 3 (11%) were bilateral (Table 4). Four patients with GCA (10%) were missing biopsy data. Nineteen patients with GCA (70%) had biopsies with pathologic findings consistent with GCA.



Twenty-five patients with GCA (60%) received ≥ 1 imaging modality. The most common imaging modality was MRI, which was used for 18 (43%) patients. Fourteen patients (33%) had 18F-FDG PET, 12 patients (29%) had MRA, and 11 patients (26%) had CTA. The small number of patients who underwent point-of-care ultrasound (POCUS), brain MRI, or dark blood MRI were negative for disease. Five patients who underwent 18F-FDG PET had findings consistent with GCA. One patient with GCA had CTA of the head and neck with radiographic findings supportive of GCA.
Discussion
The available evidence supports the use of additional screening tests to increase the temporal artery biopsy yield for GCA. Inflammatory laboratory markers demonstrate some sensitivity but are nonspecific for GCA. In this study, only 60% of patients with GCA underwent diagnostic imaging as part of the workup. There are multiple factors that may contribute to the underutilization of advanced imaging in the diagnosis of GCA, including outdated standardized diagnostic criteria, limited resources (direct access to modalities), and lack of clinician awareness of diagnostic testing options. In this retrospective review, 30 patients (71%) were diagnosed with GCA with a 1990 ACR GCA score ≤ 3. Of these 30 patients, 19 underwent confirmatory biopsy followed by prolonged courses of steroid therapy. In addition, only 25 patients underwent advanced imaging to increase diagnostic accuracy of the suspected syndrome.
A large meta-analysis demonstrated a sensitivity of 77.3% (95% CI, 71.8-81.9%) for temporal artery biopsy.21 The overall yield was 40% in the meta-analysis. Advanced noninvasive imaging represents an appropriate method of evaluating GCA.8-20 In our study, 18F-FDG PET demonstrated the highest sensitivity (36%) for the diagnosis of GCA. Ultrasonography is recommended as an initial screening tool to identify the noncompressible halo sign (a hypoechoic circumferential wall thickening due to edema) as a cost-effective and widely available technology.22 Other research has corroborated the beneficial use of ultrasonography in improving diagnostic accuracy by detecting the noncompressible halo sign in temporal arteries.22,23 GCA diagnostic performance has been significantly improved with the use of B-mode probes ≥ 15 MHz as well as proposals to incorporate a compression sign or interrogating the axillary vessels, showing a sensitivity of 54% to 77%.23,24
POCUS may reduce the risk of a false-negative biopsy and improve yield with more frequent utilization. However, ultrasonography may be limited by operator skills and visualization of the great vessels. The accuracy of ultrasonography is dependent on the experience and adeptness of the operator. Additional studies are needed to establish a systematic standard for POCUS training to ensure accurate interpretation and uniform interrogation procedure.24 Artificial intelligence (AI) may aid in interpreting results of POCUS and bridging the operator skill gap among operators.25,26 AI and machine learning techniques can assist in detecting the noncompressible halo sign and compression sign in temporal arteries and other affected vessels.
In comparing the WRNMMC patient population with other US civilian GCA cohorts, there are some differences and similarities. There was a high representation of African American patients in the study, which may reflect a greater severity of autoimmune disease expression in this population.27 We also observed a higher number of females and an association with polymyalgia rheumatica in the data, consistent with previous reports.28,29 The females in this study were primarily civilians and therefore more similar to the general population of individuals with GCA. In contrast, male patients were more likely to be active-duty service members or have prior service experience with increased exposure to novel environmental factors linked to increased risk of autoimmune disease. This includes an increased risk of Guillain-Barré syndrome and Graves disease among Vietnam veterans exposed to Agent Orange.30,31 Other studies have found that veterans with posttraumatic stress disorder are at increased risk for severe autoimmune diseases.32,33 As more women join the active-duty military, the impact of autoimmune disease in the military service population is expected to grow, requiring further research.
Conclusions
Early diagnosis and treatment of GCA are critical to preventing serious outcomes, such as visual loss, jaw or limb claudication, or ischemic stroke. The incidence of autoimmune disease is expected to rise in the armed forces and veteran populations due to exposure to novel environmental factors and the increasing representation of women in the military. The use of additional screening tools can aid in earlier diagnosis of GCA. The 2022 ACR classification criteria for GCA represent significant updates to the 1990 criteria, incorporating ancillary tests such as the temporal artery halo sign on ultrasound, bilateral axillary vessel screening on imaging, and 18F-FDG PET activity throughout the aorta. The updated criteria require further validation and supports the adoption of a multidisciplinary approach that includes ultrasonography, vascular MRI/CT, and 18F-FDG PET. Furthermore, AI may play a future key role in ultrasound interpretation and study interrogation procedure. Ultimately, ultrasonography is a noninvasive and promising technique for the early diagnosis of GCA. A target goal is to increase the yield of positive temporal artery biopsies to ≥ 70%.
- Jennette JC. Overview of the 2012 revised International Chapel Hill Consensus Conference nomenclature of vasculitides. Clin Exp Nephrol. 2013;17:603-606. doi:10.1007/s10157-013-0869-6
- Kale N, Eggenberger E. Diagnosis and management of giant cell arteritis: a review. Curr Opin Ophthalmol. 2010;21:417-422. doi:10.1097/ICU.0b013e32833eae8b
- Smetana GW, Shmerling RH. Does this patient have temporal arteritis? JAMA. 2002;287:92-101.
- Schäcke H, Döcke WD, Asadullah K. Mechanisms involved in the side effects of glucocorticoids. Pharmacol Ther. 2002;96:23-43. doi:10.1016/s0163-7258(02)00297-8
- Curtis JR, Patkar N, Xie A, et al. Risk of serious bacterial infections among rheumatoid arthritis patients exposed to tumor necrosis factor alpha antagonists. Arthritis Rheum. 2007;56:1125-1133. doi:10.1002/art.22504
- Hoes JN, van der Goes MC, van Raalte DH, et al. Glucose tolerance, insulin sensitivity and ß-cell function in patients with rheumatoid arthritis treated with or without low-to-medium dose glucocorticoids. Ann Rheum Dis. 2011;70:1887-1894. doi:10.1136/ard.2011.151464
- Hunder GG, Bloch DA, Michel BA, et al. The American College of Rheumatology 1990 criteria for the classification of giant cell arteritis. Arthritis Rheum. 1990;33:1122-1128. doi:10.1002/art.1780330810
- Dejaco C, Duftner C, Buttgereit F, Matteson EL, Dasgupta B. The spectrum of giant cell arteritis and polymyalgia rheumatica: revisiting the concept of the disease. Rheumatology (Oxford). 2017;56:506-515. doi:10.1093/rheumatology/kew273
- Slart RHJ, Nienhuis PH, Glaudemans AWJM, et al. Role of 18F-FDG PET/CT in large vessel vasculitis and polymyalgia rheumatica. J Nucl Med. 2023;64:515-521. doi:10.2967/jnumed.122.265016
- Shimol JB, Amital H, Lidar M, Domachevsky L, Shoenfeld Y, Davidson T. The utility of PET/CT in large vessel vasculitis. Sci Rep. 2020;10:17709. doi:10.1038/s41598-020-73818-2
- Ponte C, Grayson PC, Robson JC, et al. 2022 American College of Rheumatology/EULAR Classification Criteria for Giant Cell Arteritis. Arthritis Rheumatol. 2022;74:1881-1889. doi:10.1002/art.42325
- He J, Williamson L, Ng B, et al. The diagnostic accuracy of temporal artery ultrasound and temporal artery biopsy in giant cell arteritis: a single center Australian experience over 10 years. Int J Rheum Dis. 2022;25:447-453. doi:10.1111/1756-185X.14288
- Stellingwerff MD, Brouwer E, Lensen KDF, et al. Different scoring methods of FDG PET/CT in giant cell arteritis: need for standardization. Medicine (Baltimore). 2015;94:e1542. doi:10.1097/MD.0000000000001542
- Conway R, Smyth AE, Kavanagh RG, et al. Diagnostic utility of computed tomographic angiography in giant-cell arteritis. Stroke. 2018;49:2233-2236. doi:10.1161/STROKEAHA.118.021995
- Duftner C, Dejaco C, Sepriano A, et al. Imaging in diagnosis, outcome prediction and monitoring of large vessel vasculitis: a systematic literature review and meta-analysis informing the EULAR recommendations. RMD Open. 2018;4:e000612. doi:10.1136/rmdopen-2017-000612
- Rehak Z, Vasina J, Ptacek J, et al. PET/CT in giant cell arteritis: high 18F-FDG uptake in the temporal, occipital and vertebral arteries. Rev Esp Med Nucl Imagen Mol. 2016;35:398-401. doi:10.1016/j.remn.2016.03.007
- Salvarani C, Soriano A, Muratore F, et al. Is PET/CT essential in the diagnosis and follow-up of temporal arteritis? Autoimmun Rev. 2017;16:1125-1130. doi:10.1016/j.autrev.2017.09.007
- Brodmann M, Lipp RW, Passath A, et al. The role of 2-18F-fluoro-2-deoxy-D-glucose positron emission tomography in the diagnosis of giant cell arteritis of the temporal arteries. Rheumatology (Oxford). 2004;43:241-242. doi:10.1093/rheumatology/keh025
- Flaus A, Granjon D, Habouzit V, Gaultier JB, Prevot-Bitot N. Unusual and diffuse hypermetabolism in routine 18F-FDG PET/CT of the supra-aortic vessels in biopsy-positive giant cell arteritis. Clin Nucl Med. 2018;43:e336-e337. doi:10.1097/RLU.0000000000002198
- Berger CT, Sommer G, Aschwanden M, et al. The clinical benefit of imaging in the diagnosis and treatment of giant cell arteritis. Swiss Med Wkly. 2018;148:w14661. doi:10.4414/smw.2018.14661
- Rubenstein E, Maldini C, Gonzalez-Chiappe S, et al. Sensitivity of temporal artery biopsy in the diagnosis of giant cell arteritis: a systematic literature review and meta-analysis. Rheumatology (Oxford). 2020;59:1011-1020. doi:10.1093/rheumatology/kez385
- Tsivgoulis G, Heliopoulos I, Vadikolias K, et al. Teaching neuroimages: ultrasound findings in giant-cell arteritis. Neurology. 2010;75:e67-e68. doi:10.1212/WNL.0b013e3181f881e9
- Nakajima E, Moon FH, Canvas Jr N, et al. Accuracy of Doppler ultrasound in the diagnosis of giant cell arteritis: a systematic review and meta-analysis. Adv Rheumatol. 2023;63:5. doi:10.1186/s42358-023-00286-3
- Naumegni SR, Hoffmann C, Cornec D, et al. Temporal artery ultrasound to diagnose giant cell arteritis: a practical guide. Ultrasound Med Biol. 2021;47:201-213. doi:10.1016/j.ultrasmedbio.2020.10.004
- Kim YH. Artificial intelligence in medical ultrasonography: driving on an unpaved road. Ultrasonography. 2021;40:313-317. doi:10.14366/usg.21031
- Sultan LR, Mohamed MH, Andronikou S. ChatGPT-4: a breakthrough in ultrasound image analysis. Radiol Adv. 2024;1:umae006. doi:10.1093/radadv/umae006
- Cipriani VP, Klein S. Clinical characteristics of multiple sclerosis in African-Americans. Curr Neurol Neurosci Rep. 2019;19:87. doi:10.1007/s11910-019-1000-5
- Sturm A, Dechant C, Proft F, et al. Gender differences in giant cell arteritis: a case-control study. Clin Exp Rheumatol. 2016;34:S70-72.
- Li KJ, Semenov D, Turk M, et al. A meta-analysis of the epidemiology of giant cell arteritis across time and space. Arthritis Res Ther. 2021;23:82. doi:10.1186/s13075-021-02450-w
- Nelson L, Gormley R, Riddle MS, Tribble DR, Porter CK. The epidemiology of Guillain-Barré syndrome in U.S. military personnel: a case-control study. BMC Res Notes. 2009;2:171. doi:10.1186/1756-0500-2-171
- Spaulding SW. The possible roles of environmental factors and the aryl hydrocarbon receptor in the prevalence of thyroid diseases in Vietnam era veterans. Curr Opin Endocrinol Diabetes Obes. 2011;18:315-320.
- O’Donovan A, Cohen BE, Seal KH, et al. Elevated risk for autoimmune disorders in Iraq and Afghanistan veterans with posttraumatic stress disorder. Biol Psychiatry. 2015;77:365-374. doi:10.1016/j.biopsych.2014.06.015
- Bookwalter DB, Roenfeldt KA, LeardMann CA, Kong SY, Riddle MS, Rull RP. Posttraumatic stress disorder and risk of selected autoimmune diseases among US military personnel. BMC Psychiatry. 2020;20:23. doi:10.1186/s12888-020-2432-9
- Jennette JC. Overview of the 2012 revised International Chapel Hill Consensus Conference nomenclature of vasculitides. Clin Exp Nephrol. 2013;17:603-606. doi:10.1007/s10157-013-0869-6
- Kale N, Eggenberger E. Diagnosis and management of giant cell arteritis: a review. Curr Opin Ophthalmol. 2010;21:417-422. doi:10.1097/ICU.0b013e32833eae8b
- Smetana GW, Shmerling RH. Does this patient have temporal arteritis? JAMA. 2002;287:92-101.
- Schäcke H, Döcke WD, Asadullah K. Mechanisms involved in the side effects of glucocorticoids. Pharmacol Ther. 2002;96:23-43. doi:10.1016/s0163-7258(02)00297-8
- Curtis JR, Patkar N, Xie A, et al. Risk of serious bacterial infections among rheumatoid arthritis patients exposed to tumor necrosis factor alpha antagonists. Arthritis Rheum. 2007;56:1125-1133. doi:10.1002/art.22504
- Hoes JN, van der Goes MC, van Raalte DH, et al. Glucose tolerance, insulin sensitivity and ß-cell function in patients with rheumatoid arthritis treated with or without low-to-medium dose glucocorticoids. Ann Rheum Dis. 2011;70:1887-1894. doi:10.1136/ard.2011.151464
- Hunder GG, Bloch DA, Michel BA, et al. The American College of Rheumatology 1990 criteria for the classification of giant cell arteritis. Arthritis Rheum. 1990;33:1122-1128. doi:10.1002/art.1780330810
- Dejaco C, Duftner C, Buttgereit F, Matteson EL, Dasgupta B. The spectrum of giant cell arteritis and polymyalgia rheumatica: revisiting the concept of the disease. Rheumatology (Oxford). 2017;56:506-515. doi:10.1093/rheumatology/kew273
- Slart RHJ, Nienhuis PH, Glaudemans AWJM, et al. Role of 18F-FDG PET/CT in large vessel vasculitis and polymyalgia rheumatica. J Nucl Med. 2023;64:515-521. doi:10.2967/jnumed.122.265016
- Shimol JB, Amital H, Lidar M, Domachevsky L, Shoenfeld Y, Davidson T. The utility of PET/CT in large vessel vasculitis. Sci Rep. 2020;10:17709. doi:10.1038/s41598-020-73818-2
- Ponte C, Grayson PC, Robson JC, et al. 2022 American College of Rheumatology/EULAR Classification Criteria for Giant Cell Arteritis. Arthritis Rheumatol. 2022;74:1881-1889. doi:10.1002/art.42325
- He J, Williamson L, Ng B, et al. The diagnostic accuracy of temporal artery ultrasound and temporal artery biopsy in giant cell arteritis: a single center Australian experience over 10 years. Int J Rheum Dis. 2022;25:447-453. doi:10.1111/1756-185X.14288
- Stellingwerff MD, Brouwer E, Lensen KDF, et al. Different scoring methods of FDG PET/CT in giant cell arteritis: need for standardization. Medicine (Baltimore). 2015;94:e1542. doi:10.1097/MD.0000000000001542
- Conway R, Smyth AE, Kavanagh RG, et al. Diagnostic utility of computed tomographic angiography in giant-cell arteritis. Stroke. 2018;49:2233-2236. doi:10.1161/STROKEAHA.118.021995
- Duftner C, Dejaco C, Sepriano A, et al. Imaging in diagnosis, outcome prediction and monitoring of large vessel vasculitis: a systematic literature review and meta-analysis informing the EULAR recommendations. RMD Open. 2018;4:e000612. doi:10.1136/rmdopen-2017-000612
- Rehak Z, Vasina J, Ptacek J, et al. PET/CT in giant cell arteritis: high 18F-FDG uptake in the temporal, occipital and vertebral arteries. Rev Esp Med Nucl Imagen Mol. 2016;35:398-401. doi:10.1016/j.remn.2016.03.007
- Salvarani C, Soriano A, Muratore F, et al. Is PET/CT essential in the diagnosis and follow-up of temporal arteritis? Autoimmun Rev. 2017;16:1125-1130. doi:10.1016/j.autrev.2017.09.007
- Brodmann M, Lipp RW, Passath A, et al. The role of 2-18F-fluoro-2-deoxy-D-glucose positron emission tomography in the diagnosis of giant cell arteritis of the temporal arteries. Rheumatology (Oxford). 2004;43:241-242. doi:10.1093/rheumatology/keh025
- Flaus A, Granjon D, Habouzit V, Gaultier JB, Prevot-Bitot N. Unusual and diffuse hypermetabolism in routine 18F-FDG PET/CT of the supra-aortic vessels in biopsy-positive giant cell arteritis. Clin Nucl Med. 2018;43:e336-e337. doi:10.1097/RLU.0000000000002198
- Berger CT, Sommer G, Aschwanden M, et al. The clinical benefit of imaging in the diagnosis and treatment of giant cell arteritis. Swiss Med Wkly. 2018;148:w14661. doi:10.4414/smw.2018.14661
- Rubenstein E, Maldini C, Gonzalez-Chiappe S, et al. Sensitivity of temporal artery biopsy in the diagnosis of giant cell arteritis: a systematic literature review and meta-analysis. Rheumatology (Oxford). 2020;59:1011-1020. doi:10.1093/rheumatology/kez385
- Tsivgoulis G, Heliopoulos I, Vadikolias K, et al. Teaching neuroimages: ultrasound findings in giant-cell arteritis. Neurology. 2010;75:e67-e68. doi:10.1212/WNL.0b013e3181f881e9
- Nakajima E, Moon FH, Canvas Jr N, et al. Accuracy of Doppler ultrasound in the diagnosis of giant cell arteritis: a systematic review and meta-analysis. Adv Rheumatol. 2023;63:5. doi:10.1186/s42358-023-00286-3
- Naumegni SR, Hoffmann C, Cornec D, et al. Temporal artery ultrasound to diagnose giant cell arteritis: a practical guide. Ultrasound Med Biol. 2021;47:201-213. doi:10.1016/j.ultrasmedbio.2020.10.004
- Kim YH. Artificial intelligence in medical ultrasonography: driving on an unpaved road. Ultrasonography. 2021;40:313-317. doi:10.14366/usg.21031
- Sultan LR, Mohamed MH, Andronikou S. ChatGPT-4: a breakthrough in ultrasound image analysis. Radiol Adv. 2024;1:umae006. doi:10.1093/radadv/umae006
- Cipriani VP, Klein S. Clinical characteristics of multiple sclerosis in African-Americans. Curr Neurol Neurosci Rep. 2019;19:87. doi:10.1007/s11910-019-1000-5
- Sturm A, Dechant C, Proft F, et al. Gender differences in giant cell arteritis: a case-control study. Clin Exp Rheumatol. 2016;34:S70-72.
- Li KJ, Semenov D, Turk M, et al. A meta-analysis of the epidemiology of giant cell arteritis across time and space. Arthritis Res Ther. 2021;23:82. doi:10.1186/s13075-021-02450-w
- Nelson L, Gormley R, Riddle MS, Tribble DR, Porter CK. The epidemiology of Guillain-Barré syndrome in U.S. military personnel: a case-control study. BMC Res Notes. 2009;2:171. doi:10.1186/1756-0500-2-171
- Spaulding SW. The possible roles of environmental factors and the aryl hydrocarbon receptor in the prevalence of thyroid diseases in Vietnam era veterans. Curr Opin Endocrinol Diabetes Obes. 2011;18:315-320.
- O’Donovan A, Cohen BE, Seal KH, et al. Elevated risk for autoimmune disorders in Iraq and Afghanistan veterans with posttraumatic stress disorder. Biol Psychiatry. 2015;77:365-374. doi:10.1016/j.biopsych.2014.06.015
- Bookwalter DB, Roenfeldt KA, LeardMann CA, Kong SY, Riddle MS, Rull RP. Posttraumatic stress disorder and risk of selected autoimmune diseases among US military personnel. BMC Psychiatry. 2020;20:23. doi:10.1186/s12888-020-2432-9
Advanced Imaging Techniques Use in Giant Cell Arteritis Diagnosis: The Experience at Walter Reed National Military Medical Center
Advanced Imaging Techniques Use in Giant Cell Arteritis Diagnosis: The Experience at Walter Reed National Military Medical Center
Demographic and Clinical Factors Associated With PD-L1 Testing of Veterans With Advanced Non-Small Cell Lung Cancer
Background
Programmed death-ligand 1 (PD-L1) checkpoint inhibitors revolutionized the treatment of advanced non-small cell lung cancer (aNSCLC) by improving overall survival compared to chemotherapy. PD-L1 biomarker testing is paramount for informing treatment decisions in aNSCLC. Real-world data describing patterns of PD-L1 testing within the Veteran Health Administration (VHA) are limited. This retrospective study seeks to evaluate demographic and clinical factors associated with PD-L1 testing in VHA.
Methods
Veterans diagnosed with aNSCLC from 2019-2022 were identified using VHA’s Corporate Data Warehouse. Wilcoxon Rank Sum and Chi- Square tests measured association between receipt of PD-L1 testing and patient demographic and clinical characteristics at aNSCLC diagnosis. Logistic regression assessed predictors of PD-L1 testing, and subgroup analyses were performed for significant interactions.
Results
Our study included 4575 patients with aNSCLC; 57.0% received PD-L1 testing. The likelihood of PD-L1 testing increased among patients diagnosed with aNSCLC after 2019 vs during 2019 (OR≥1.118, p≤0.035) and in Black vs White patients (OR=1.227, p=0.011). However, the following had decreased likelihood of PD-L1 testing: patients with stage IIIB vs IV cancer (OR=0.683, p=0.004); non vs current/former smokers (OR=0.733, p=0.039); squamous (OR=0.863, p=0.030) or NOS (OR=0.695,p=0.013) vs. adenocarcinoma histology. Interactions were observed between patient residential region and residential rurality (p=0.003), and region and receipt of oncology community care consults (OCCC) (p=0.030). Patients in rural Midwest (OR=0.445,p=0.004) and rural South (OR=0.566, p=0.032) were less likely to receive PD-L1 testing than Metropolitan patients. Across patients with OCCC, Western US patients were more likely to receive PD-L1 testing (OR=1.554, p=0.001) than patients in other regions. However, within Midwestern patients, those without a OCCC were more likely to receive PD-L1 testing (OR=1.724, p< 0.001) than those with a OCCC. High comorbidity index (CCI≥3) is associated with an increased likelihood of PD-L1 testing in a univariable model (OR=1.286 vs. CCI=0,p=0.009), but not in the multivariable model (p=0.278).
Conclusions
We identified demographic and clinical factors, including regional differences in rurality and OCCC patterns, associated with PD-L1 testing. These factors can focus ongoing efforts to improve PD-L1 testing and efforts to be more in line with recommended care.
Background
Programmed death-ligand 1 (PD-L1) checkpoint inhibitors revolutionized the treatment of advanced non-small cell lung cancer (aNSCLC) by improving overall survival compared to chemotherapy. PD-L1 biomarker testing is paramount for informing treatment decisions in aNSCLC. Real-world data describing patterns of PD-L1 testing within the Veteran Health Administration (VHA) are limited. This retrospective study seeks to evaluate demographic and clinical factors associated with PD-L1 testing in VHA.
Methods
Veterans diagnosed with aNSCLC from 2019-2022 were identified using VHA’s Corporate Data Warehouse. Wilcoxon Rank Sum and Chi- Square tests measured association between receipt of PD-L1 testing and patient demographic and clinical characteristics at aNSCLC diagnosis. Logistic regression assessed predictors of PD-L1 testing, and subgroup analyses were performed for significant interactions.
Results
Our study included 4575 patients with aNSCLC; 57.0% received PD-L1 testing. The likelihood of PD-L1 testing increased among patients diagnosed with aNSCLC after 2019 vs during 2019 (OR≥1.118, p≤0.035) and in Black vs White patients (OR=1.227, p=0.011). However, the following had decreased likelihood of PD-L1 testing: patients with stage IIIB vs IV cancer (OR=0.683, p=0.004); non vs current/former smokers (OR=0.733, p=0.039); squamous (OR=0.863, p=0.030) or NOS (OR=0.695,p=0.013) vs. adenocarcinoma histology. Interactions were observed between patient residential region and residential rurality (p=0.003), and region and receipt of oncology community care consults (OCCC) (p=0.030). Patients in rural Midwest (OR=0.445,p=0.004) and rural South (OR=0.566, p=0.032) were less likely to receive PD-L1 testing than Metropolitan patients. Across patients with OCCC, Western US patients were more likely to receive PD-L1 testing (OR=1.554, p=0.001) than patients in other regions. However, within Midwestern patients, those without a OCCC were more likely to receive PD-L1 testing (OR=1.724, p< 0.001) than those with a OCCC. High comorbidity index (CCI≥3) is associated with an increased likelihood of PD-L1 testing in a univariable model (OR=1.286 vs. CCI=0,p=0.009), but not in the multivariable model (p=0.278).
Conclusions
We identified demographic and clinical factors, including regional differences in rurality and OCCC patterns, associated with PD-L1 testing. These factors can focus ongoing efforts to improve PD-L1 testing and efforts to be more in line with recommended care.
Background
Programmed death-ligand 1 (PD-L1) checkpoint inhibitors revolutionized the treatment of advanced non-small cell lung cancer (aNSCLC) by improving overall survival compared to chemotherapy. PD-L1 biomarker testing is paramount for informing treatment decisions in aNSCLC. Real-world data describing patterns of PD-L1 testing within the Veteran Health Administration (VHA) are limited. This retrospective study seeks to evaluate demographic and clinical factors associated with PD-L1 testing in VHA.
Methods
Veterans diagnosed with aNSCLC from 2019-2022 were identified using VHA’s Corporate Data Warehouse. Wilcoxon Rank Sum and Chi- Square tests measured association between receipt of PD-L1 testing and patient demographic and clinical characteristics at aNSCLC diagnosis. Logistic regression assessed predictors of PD-L1 testing, and subgroup analyses were performed for significant interactions.
Results
Our study included 4575 patients with aNSCLC; 57.0% received PD-L1 testing. The likelihood of PD-L1 testing increased among patients diagnosed with aNSCLC after 2019 vs during 2019 (OR≥1.118, p≤0.035) and in Black vs White patients (OR=1.227, p=0.011). However, the following had decreased likelihood of PD-L1 testing: patients with stage IIIB vs IV cancer (OR=0.683, p=0.004); non vs current/former smokers (OR=0.733, p=0.039); squamous (OR=0.863, p=0.030) or NOS (OR=0.695,p=0.013) vs. adenocarcinoma histology. Interactions were observed between patient residential region and residential rurality (p=0.003), and region and receipt of oncology community care consults (OCCC) (p=0.030). Patients in rural Midwest (OR=0.445,p=0.004) and rural South (OR=0.566, p=0.032) were less likely to receive PD-L1 testing than Metropolitan patients. Across patients with OCCC, Western US patients were more likely to receive PD-L1 testing (OR=1.554, p=0.001) than patients in other regions. However, within Midwestern patients, those without a OCCC were more likely to receive PD-L1 testing (OR=1.724, p< 0.001) than those with a OCCC. High comorbidity index (CCI≥3) is associated with an increased likelihood of PD-L1 testing in a univariable model (OR=1.286 vs. CCI=0,p=0.009), but not in the multivariable model (p=0.278).
Conclusions
We identified demographic and clinical factors, including regional differences in rurality and OCCC patterns, associated with PD-L1 testing. These factors can focus ongoing efforts to improve PD-L1 testing and efforts to be more in line with recommended care.
Rapid Implementation of a Clinical Workflow Support Tool to Engage Rural Veterans about a Smoking Cessation Trial
Background
Offering participation in clinical trials is a standard of care practice in oncology. It is also considered a quality indicator by various professional cancer societies, including the American Societies of Hematology (ASH) and Clinical Oncology (ASCO). In 2023, VA launched Clinical Cancer Research Services (CCRS) to ensure that all Veterans with cancer can participate in a clinical trial should they choose to do so. Research teams struggle to identify and engage potentially eligible patients. This is a complex process involving eligibility screening, outreach, and personalized support, which frequently involves a manual workflow with inefficiencies, delays, and missed opportunities for patients. To support CCRS’s mission, we used VA Enterprise Cloud (VAEC) to rapidly develop a clinical workflow support application for CCRS team members.
Methods
We used an internally developed framework to rapidly define program aims, provider workflows, opportunities to augment with data products, and lean principles applied to health information technology to design a clinical workflow supporting application. Data products leveraged VAEC’s Summit Data Platform (SDP), an open, multi-cloud platform for ingesting, curating, and managing multi-source VHA data into usable products. User interface was developed in a low code/no code power platform environment, which integrates with SDP and is also available in VAEC.
Results
An initial aim was identified as supporting engagement for the ‘Reaching Rural Cancer Survivors Who Smoke Using Text-based Cessation Interventions’ study. Augmented workflow was identified by meeting principal stakeholders and staff. Data product development involved retrieval of cancer diagnoses from the VA cancer registry system and smoking status from CDW HealthFactors. Rural residence was identified using 2023 Rural-Urban Continuum Codes. Application design, testing and refinement followed. Design to implementation was accomplished over the span of two months: from Aug 5, 2024 to Oct 3, 2024. Over the next seven months, the application identified 2,603 potentially eligible Veterans, and a single navigator using the tool was able to review 456 cases, send 189 study letters, and enroll 5 Veterans.
Conclusions
Clinical workflow support tools that leverage cloud infrastructure such as VAEC and Summit Data Platform can improve system efficiencies and increase access to clinical trials.
Background
Offering participation in clinical trials is a standard of care practice in oncology. It is also considered a quality indicator by various professional cancer societies, including the American Societies of Hematology (ASH) and Clinical Oncology (ASCO). In 2023, VA launched Clinical Cancer Research Services (CCRS) to ensure that all Veterans with cancer can participate in a clinical trial should they choose to do so. Research teams struggle to identify and engage potentially eligible patients. This is a complex process involving eligibility screening, outreach, and personalized support, which frequently involves a manual workflow with inefficiencies, delays, and missed opportunities for patients. To support CCRS’s mission, we used VA Enterprise Cloud (VAEC) to rapidly develop a clinical workflow support application for CCRS team members.
Methods
We used an internally developed framework to rapidly define program aims, provider workflows, opportunities to augment with data products, and lean principles applied to health information technology to design a clinical workflow supporting application. Data products leveraged VAEC’s Summit Data Platform (SDP), an open, multi-cloud platform for ingesting, curating, and managing multi-source VHA data into usable products. User interface was developed in a low code/no code power platform environment, which integrates with SDP and is also available in VAEC.
Results
An initial aim was identified as supporting engagement for the ‘Reaching Rural Cancer Survivors Who Smoke Using Text-based Cessation Interventions’ study. Augmented workflow was identified by meeting principal stakeholders and staff. Data product development involved retrieval of cancer diagnoses from the VA cancer registry system and smoking status from CDW HealthFactors. Rural residence was identified using 2023 Rural-Urban Continuum Codes. Application design, testing and refinement followed. Design to implementation was accomplished over the span of two months: from Aug 5, 2024 to Oct 3, 2024. Over the next seven months, the application identified 2,603 potentially eligible Veterans, and a single navigator using the tool was able to review 456 cases, send 189 study letters, and enroll 5 Veterans.
Conclusions
Clinical workflow support tools that leverage cloud infrastructure such as VAEC and Summit Data Platform can improve system efficiencies and increase access to clinical trials.
Background
Offering participation in clinical trials is a standard of care practice in oncology. It is also considered a quality indicator by various professional cancer societies, including the American Societies of Hematology (ASH) and Clinical Oncology (ASCO). In 2023, VA launched Clinical Cancer Research Services (CCRS) to ensure that all Veterans with cancer can participate in a clinical trial should they choose to do so. Research teams struggle to identify and engage potentially eligible patients. This is a complex process involving eligibility screening, outreach, and personalized support, which frequently involves a manual workflow with inefficiencies, delays, and missed opportunities for patients. To support CCRS’s mission, we used VA Enterprise Cloud (VAEC) to rapidly develop a clinical workflow support application for CCRS team members.
Methods
We used an internally developed framework to rapidly define program aims, provider workflows, opportunities to augment with data products, and lean principles applied to health information technology to design a clinical workflow supporting application. Data products leveraged VAEC’s Summit Data Platform (SDP), an open, multi-cloud platform for ingesting, curating, and managing multi-source VHA data into usable products. User interface was developed in a low code/no code power platform environment, which integrates with SDP and is also available in VAEC.
Results
An initial aim was identified as supporting engagement for the ‘Reaching Rural Cancer Survivors Who Smoke Using Text-based Cessation Interventions’ study. Augmented workflow was identified by meeting principal stakeholders and staff. Data product development involved retrieval of cancer diagnoses from the VA cancer registry system and smoking status from CDW HealthFactors. Rural residence was identified using 2023 Rural-Urban Continuum Codes. Application design, testing and refinement followed. Design to implementation was accomplished over the span of two months: from Aug 5, 2024 to Oct 3, 2024. Over the next seven months, the application identified 2,603 potentially eligible Veterans, and a single navigator using the tool was able to review 456 cases, send 189 study letters, and enroll 5 Veterans.
Conclusions
Clinical workflow support tools that leverage cloud infrastructure such as VAEC and Summit Data Platform can improve system efficiencies and increase access to clinical trials.
Support GI Research Through a Named Research Award
Did you know you can honor a family member, friend, or colleague whose life has been touched by GI research through a gift to the AGA Research Foundation? Your gift will honor a loved one or yourself and support the AGA Research Awards Program, while giving you a tax benefit.
Named award. An AGA pilot award can be renamed after you or a loved one, and targeted for a specific gastrointestinal research area. A new pilot research award can be established with a pledge of $40,000+ or through an estate gift. Gifts of cash or appreciated securities may be used to establish a named award.
Your next step. A named award gift is a wonderful way to acknowledge a loved one’s vision for the future. To learn more about ways to recognize your honoree, contact us at [email protected].
A lack of funding can prevent talented individuals from pursuing a research career, thereby denying them the opportunity to conduct work that will ultimately benefit patients with critical needs.
Did you know you can honor a family member, friend, or colleague whose life has been touched by GI research through a gift to the AGA Research Foundation? Your gift will honor a loved one or yourself and support the AGA Research Awards Program, while giving you a tax benefit.
Named award. An AGA pilot award can be renamed after you or a loved one, and targeted for a specific gastrointestinal research area. A new pilot research award can be established with a pledge of $40,000+ or through an estate gift. Gifts of cash or appreciated securities may be used to establish a named award.
Your next step. A named award gift is a wonderful way to acknowledge a loved one’s vision for the future. To learn more about ways to recognize your honoree, contact us at [email protected].
A lack of funding can prevent talented individuals from pursuing a research career, thereby denying them the opportunity to conduct work that will ultimately benefit patients with critical needs.
Did you know you can honor a family member, friend, or colleague whose life has been touched by GI research through a gift to the AGA Research Foundation? Your gift will honor a loved one or yourself and support the AGA Research Awards Program, while giving you a tax benefit.
Named award. An AGA pilot award can be renamed after you or a loved one, and targeted for a specific gastrointestinal research area. A new pilot research award can be established with a pledge of $40,000+ or through an estate gift. Gifts of cash or appreciated securities may be used to establish a named award.
Your next step. A named award gift is a wonderful way to acknowledge a loved one’s vision for the future. To learn more about ways to recognize your honoree, contact us at [email protected].
A lack of funding can prevent talented individuals from pursuing a research career, thereby denying them the opportunity to conduct work that will ultimately benefit patients with critical needs.
Intestinal Methanogen Overgrowth Fosters More Constipation, Less Diarrhea
, according to a systematic review and meta-analysis published in Clinical Gastroenterology and Hepatology.
“The distinct phenotype of patients with IMO should be incorporated in patient-reported outcome measures and further correlated with mechanistic microbiome studies,” wrote investigators led by gastroenterologist Ali Rezaie, MD, MSc, medical director of the GI Motility Program at Cedars-Sinai Medical Center and director of biotechnology in the center’s Medically Associated Science and Technology (MAST) Program. Recognizing specific GI symptom profiles can improve diagnosis and treatment strategies, facilitating further clinical trials and targeted microbiome studies to optimize patient care.
Excessive luminal loads of methanogenic archaea – archaea being bacteria-like prokaryotes and one of the main three domains of the tree of life – have been implicated in the pathophysiology of various diseases, including constipation.
The Study
To elucidate the phenotypical presentation of IMO in patients, Rezaie’s group compared the prevalence and severity of gastrointestinal (GI) symptoms in individuals who had IMO with those who did not have IMO. IMO was based on excess levels of this gaseous GI byproduct in exhaled breath tests.
Searching electronic databases from inception to September 2023, the researchers identified 19 eligible studies from diverse geographical regions with 1293 IMO patients and 3208 controls. Eleven studies were performed in the United States; the other studies were conducted in France (n = 2), India (n = 2), New Zealand (n = 1), South Korea (n = 1), Italy (n = 1), and the United Kingdom (n = 1). Thirteen studies were of high quality, as defined by a Newcastle-Ottawa Assessment Scale score of 6.
Patients with IMO were found to exhibit a range of GI symptoms, including bloating (78%), constipation (51%), diarrhea (33%), abdominal pain (65%), nausea (30%), and flatulence (56%).
In other findings:
- Patients with IMO had a significantly higher prevalence of constipation vs controls: 47% vs 38% (odds ratio [OR], 2.04, 95% confidence interval [CI], 1.48-2.83, P < .0001).
- They had a lower prevalence of diarrhea: 37% vs 52% (OR .58, 95% CI, .37-.90, P = .01); and nausea: 32% vs 45%; (OR, .75; 95% CI, .60-.94, P = .01).
- Patients with IMO had more severe constipation: standard mean deviation [SMD], .77 (95% CI, .11-1.43, P = .02) and a lower severity of diarrhea: SMD, –.71 (95% CI, –1.39 to –.03, P = .04). Significant heterogeneity of effect, however, was detected.
- Constipation was more prevalent in IMO diagnosed with the lactulose breath test and the glucose breath test and constipation was particularly prevalent in Europe and the United States.
Mechanism of Action
The findings on constipation and diarrhea corroborate methane’s slowing physiologic effects on motility, the authors noted. It has been consistently found to delay gut transit, both small bowel and colonic transit.
Mechanistically, methane reduces small intestinal peristaltic velocity while augmenting non-propagating contraction amplitude, suggesting that reduction of intestinal transit time is mediated through promotion of non-propulsive contractions.
“This study further consolidates methane’s causal role in constipation and paves the way to establish validated disease-specific patient-reported outcomes,” Rezaie and associates wrote, calling for longitudinal and mechanistic studies assessing the archaeome in order to advance understanding of IMO.
This study was funded in part by Nancy Stark and Stanley Lezman in support of the MAST Program’s Innovation Project at Cedars-Sinai.
Rezaie serves as a consultant/speaker for Bausch Health. Cedars-Sinai Medical Center has a licensing agreement with Gemelli Biotech, in which Rezaie and coauthor Pimentel have equity. They also hold equity in Good LIFE. Pimentel consults for and has received grant support from Bausch Health.
, according to a systematic review and meta-analysis published in Clinical Gastroenterology and Hepatology.
“The distinct phenotype of patients with IMO should be incorporated in patient-reported outcome measures and further correlated with mechanistic microbiome studies,” wrote investigators led by gastroenterologist Ali Rezaie, MD, MSc, medical director of the GI Motility Program at Cedars-Sinai Medical Center and director of biotechnology in the center’s Medically Associated Science and Technology (MAST) Program. Recognizing specific GI symptom profiles can improve diagnosis and treatment strategies, facilitating further clinical trials and targeted microbiome studies to optimize patient care.
Excessive luminal loads of methanogenic archaea – archaea being bacteria-like prokaryotes and one of the main three domains of the tree of life – have been implicated in the pathophysiology of various diseases, including constipation.
The Study
To elucidate the phenotypical presentation of IMO in patients, Rezaie’s group compared the prevalence and severity of gastrointestinal (GI) symptoms in individuals who had IMO with those who did not have IMO. IMO was based on excess levels of this gaseous GI byproduct in exhaled breath tests.
Searching electronic databases from inception to September 2023, the researchers identified 19 eligible studies from diverse geographical regions with 1293 IMO patients and 3208 controls. Eleven studies were performed in the United States; the other studies were conducted in France (n = 2), India (n = 2), New Zealand (n = 1), South Korea (n = 1), Italy (n = 1), and the United Kingdom (n = 1). Thirteen studies were of high quality, as defined by a Newcastle-Ottawa Assessment Scale score of 6.
Patients with IMO were found to exhibit a range of GI symptoms, including bloating (78%), constipation (51%), diarrhea (33%), abdominal pain (65%), nausea (30%), and flatulence (56%).
In other findings:
- Patients with IMO had a significantly higher prevalence of constipation vs controls: 47% vs 38% (odds ratio [OR], 2.04, 95% confidence interval [CI], 1.48-2.83, P < .0001).
- They had a lower prevalence of diarrhea: 37% vs 52% (OR .58, 95% CI, .37-.90, P = .01); and nausea: 32% vs 45%; (OR, .75; 95% CI, .60-.94, P = .01).
- Patients with IMO had more severe constipation: standard mean deviation [SMD], .77 (95% CI, .11-1.43, P = .02) and a lower severity of diarrhea: SMD, –.71 (95% CI, –1.39 to –.03, P = .04). Significant heterogeneity of effect, however, was detected.
- Constipation was more prevalent in IMO diagnosed with the lactulose breath test and the glucose breath test and constipation was particularly prevalent in Europe and the United States.
Mechanism of Action
The findings on constipation and diarrhea corroborate methane’s slowing physiologic effects on motility, the authors noted. It has been consistently found to delay gut transit, both small bowel and colonic transit.
Mechanistically, methane reduces small intestinal peristaltic velocity while augmenting non-propagating contraction amplitude, suggesting that reduction of intestinal transit time is mediated through promotion of non-propulsive contractions.
“This study further consolidates methane’s causal role in constipation and paves the way to establish validated disease-specific patient-reported outcomes,” Rezaie and associates wrote, calling for longitudinal and mechanistic studies assessing the archaeome in order to advance understanding of IMO.
This study was funded in part by Nancy Stark and Stanley Lezman in support of the MAST Program’s Innovation Project at Cedars-Sinai.
Rezaie serves as a consultant/speaker for Bausch Health. Cedars-Sinai Medical Center has a licensing agreement with Gemelli Biotech, in which Rezaie and coauthor Pimentel have equity. They also hold equity in Good LIFE. Pimentel consults for and has received grant support from Bausch Health.
, according to a systematic review and meta-analysis published in Clinical Gastroenterology and Hepatology.
“The distinct phenotype of patients with IMO should be incorporated in patient-reported outcome measures and further correlated with mechanistic microbiome studies,” wrote investigators led by gastroenterologist Ali Rezaie, MD, MSc, medical director of the GI Motility Program at Cedars-Sinai Medical Center and director of biotechnology in the center’s Medically Associated Science and Technology (MAST) Program. Recognizing specific GI symptom profiles can improve diagnosis and treatment strategies, facilitating further clinical trials and targeted microbiome studies to optimize patient care.
Excessive luminal loads of methanogenic archaea – archaea being bacteria-like prokaryotes and one of the main three domains of the tree of life – have been implicated in the pathophysiology of various diseases, including constipation.
The Study
To elucidate the phenotypical presentation of IMO in patients, Rezaie’s group compared the prevalence and severity of gastrointestinal (GI) symptoms in individuals who had IMO with those who did not have IMO. IMO was based on excess levels of this gaseous GI byproduct in exhaled breath tests.
Searching electronic databases from inception to September 2023, the researchers identified 19 eligible studies from diverse geographical regions with 1293 IMO patients and 3208 controls. Eleven studies were performed in the United States; the other studies were conducted in France (n = 2), India (n = 2), New Zealand (n = 1), South Korea (n = 1), Italy (n = 1), and the United Kingdom (n = 1). Thirteen studies were of high quality, as defined by a Newcastle-Ottawa Assessment Scale score of 6.
Patients with IMO were found to exhibit a range of GI symptoms, including bloating (78%), constipation (51%), diarrhea (33%), abdominal pain (65%), nausea (30%), and flatulence (56%).
In other findings:
- Patients with IMO had a significantly higher prevalence of constipation vs controls: 47% vs 38% (odds ratio [OR], 2.04, 95% confidence interval [CI], 1.48-2.83, P < .0001).
- They had a lower prevalence of diarrhea: 37% vs 52% (OR .58, 95% CI, .37-.90, P = .01); and nausea: 32% vs 45%; (OR, .75; 95% CI, .60-.94, P = .01).
- Patients with IMO had more severe constipation: standard mean deviation [SMD], .77 (95% CI, .11-1.43, P = .02) and a lower severity of diarrhea: SMD, –.71 (95% CI, –1.39 to –.03, P = .04). Significant heterogeneity of effect, however, was detected.
- Constipation was more prevalent in IMO diagnosed with the lactulose breath test and the glucose breath test and constipation was particularly prevalent in Europe and the United States.
Mechanism of Action
The findings on constipation and diarrhea corroborate methane’s slowing physiologic effects on motility, the authors noted. It has been consistently found to delay gut transit, both small bowel and colonic transit.
Mechanistically, methane reduces small intestinal peristaltic velocity while augmenting non-propagating contraction amplitude, suggesting that reduction of intestinal transit time is mediated through promotion of non-propulsive contractions.
“This study further consolidates methane’s causal role in constipation and paves the way to establish validated disease-specific patient-reported outcomes,” Rezaie and associates wrote, calling for longitudinal and mechanistic studies assessing the archaeome in order to advance understanding of IMO.
This study was funded in part by Nancy Stark and Stanley Lezman in support of the MAST Program’s Innovation Project at Cedars-Sinai.
Rezaie serves as a consultant/speaker for Bausch Health. Cedars-Sinai Medical Center has a licensing agreement with Gemelli Biotech, in which Rezaie and coauthor Pimentel have equity. They also hold equity in Good LIFE. Pimentel consults for and has received grant support from Bausch Health.
FROM CLINICAL GASTROENTEROLOGY AND HEPATOLOGY
Common Medications Do Not Raise Microscopic Colitis Risk in Seniors
“Sensitivity analyses suggest that previously reported associations and persistent association with SSRI [selective serotonin reuptake inhibitor] initiation may be due to surveillance bias,” wrote gastroenterologist Hamed Khalili, MD, MPH, of Massachusetts General Hospital, Boston, and colleagues in Annals of Internal Medicine, advising clinicians to carefully balance the benefits of these medication classes against the very low likelihood of a causal relationship with MC.
While two smaller studies had challenged the belief that these medications can cause MC, Khalili told GI & Hepatology News, “the quality of the data that supported or refuted this hypothesis were low. Nevertheless, most in the field consider MC to be largely related to medications so we thought it was important to systematically answer this question.”
While most medications thought to trigger MC were found not to be causally linked, he added, “we did observe a marginal association with SSRIs but could not rule out the possibility that the association is related to residual bias.”
The authors noted that the incidence of MC in older persons is rising rapidly and is thought to account for more than 30% of chronic diarrhea cases in this group.
Despite weak evidence in the literature, the treatment guidelines of several societies, including the American Gastroenterological Association, recommend discontinuing potential pharmacologic triggers as first-line prevention or as an adjunct therapy, particularly in recurrent or refractory MC. But this approach may be ineffective in patients with established disease and could lead to inappropriate discontinuation of medication such as antihypertensives, the authors argued.
As to proposed mechanisms of action, said Khalili, “for PPIs [proton-pump inhibitors,] people thought it was related to changes in the gut microbiome. For NSAIDs [nonsteroidal anti-inflammatory drugs], people thought it could be related to changes in the gut barrier function. But overall, not a single mechanism would have explained all the prior associations that were observed.”
While medications such as PPIs and SSRIs can cause diarrhea in a small subset of users, Khalili added, “most patients generally catch these side effects very quickly and realize that stopping these medications will improve their diarrhea. This is very different than most patients we as gastroenterologists see with a new diagnosis of MC. Many of them may have been on these medications for a long time. We believe that stopping medications in these patients is unnecessary.”
Study Details
The investigators looked at eligible residents in Sweden age 65 years or older in the years 2006 to 2017 (n = 191,482 to 2,634,777). Participants had no history of inflammatory bowel disease and different cohorts were examined for various common medications from calcium channel blockers to statins.
With a primary outcome of biopsy-verified MC, dates of diagnosis were obtained from Sweden’s national histopathology cohort ESPRESSO (Epidemiology Strengthened by Histopathology Reports in Sweden). Among the findings:
- The 12- and 24-month cumulative incidences of MC were less than 0.05% under all treatment strategies.
- Estimated 12-month risk differences were close to null under angiotensin-converting enzyme vs calcium-channel blocker (CCB) initiation, angiotensin-receptor blocker vs CCB initiation, NSAID initiation vs noninitiation, PPI inhibitor initiation vs noninitiation, and statin initiation vs noninitiation.
- The estimated 12-month risk difference was 0.04% (95% CI, 0.03%-0.05%) for SSRIs vs mirtazapine.
- Results were similar for 24-month risk differences. Several medications such as SSRIs were also associated with increased risk for undergoing colonoscopy with a normal colorectal mucosa biopsy result.
“We think it’s unlikely that stopping these medications will improve symptoms of MC,” Khalili said.
Commenting on the paper but not involved in it, Jordan E. Axelrad, MD, MPH, codirector of the Inflammatory Bowel Disease Center at NYU Langone Health in New York City, said, “This study strengthens the argument that MC is an immune-mediated disease, not primarily driven by drug exposures. But future studies in diverse cohorts are required to validate these findings.” He said the study nevertheless provides reassurance that previously reported associations may have been overstated or confounded by factors such as reverse causation and increased healthcare utilization preceding the MC diagnosis.
In the meantime, Axelrad added, the findings “may reduce the inclination to promptly discontinue medications historically associated with MC in newly diagnosed cases. Also, these data help shift the clinical focus away from medication cessation alone and toward a needed and broader MC management strategy. US-based validation would likely highlight these changes in our patients.”
Despite concerns about the study’s unmeasured confounding because of differential healthcare utilization or surveillance, the modest association observed between SSRI and MC is supported by literature linking catecholamine and serotonin to gut innate immunity and microbiota, Khalili’s group wrote. “However, this finding may also be confounded by other factors including persisting surveillance and protopathic bias, especially since an association was also seen for risk for receipt of a colonoscopy with normal mucosa.”
Khalili believes the Swedish results are applicable even to the more diverse US population. He noted that lack of primary care data limited measurement of and adjustment for symptoms and medical diagnoses that increase risk. But according to Axelrad, MC is more prevalent in White, older patients, who are well-represented in Swedish cohorts but to a lesser extent in US populations. “Additionally, environmental factors and medication use patterns differ between Sweden and the US, particularly in regard to over-the-counter medication access.”
The findings have implications for future research in pharmacoepidemiologic studies of gastrointestinal-related outcomes. Since many routinely prescribed medications such as SSRIs were associated with an apparent increased risk for colonoscopies with normal colorectal biopsy results, future studies that examine gastrointestinal-specific adverse events should carefully consider potential surveillance bias.
In the meantime, Khalili stressed, it’s important to highlight that while some of these medications cause diarrhea in a small subset of patients, stopping medications in these patients is unnecessary.
This study was supported by the National Institutes of Health (NIH) and the Swedish Research Council. Khalili disclosed grants from the Crohn’s & Coiltis Foundation, the NIH and the Helmsley CharitableTrust, as well as stock ownership in Cylinder Health. One coauthor is employed by Massachusetts General Hospital. Axelrad had no relevant competing interests.
“Sensitivity analyses suggest that previously reported associations and persistent association with SSRI [selective serotonin reuptake inhibitor] initiation may be due to surveillance bias,” wrote gastroenterologist Hamed Khalili, MD, MPH, of Massachusetts General Hospital, Boston, and colleagues in Annals of Internal Medicine, advising clinicians to carefully balance the benefits of these medication classes against the very low likelihood of a causal relationship with MC.
While two smaller studies had challenged the belief that these medications can cause MC, Khalili told GI & Hepatology News, “the quality of the data that supported or refuted this hypothesis were low. Nevertheless, most in the field consider MC to be largely related to medications so we thought it was important to systematically answer this question.”
While most medications thought to trigger MC were found not to be causally linked, he added, “we did observe a marginal association with SSRIs but could not rule out the possibility that the association is related to residual bias.”
The authors noted that the incidence of MC in older persons is rising rapidly and is thought to account for more than 30% of chronic diarrhea cases in this group.
Despite weak evidence in the literature, the treatment guidelines of several societies, including the American Gastroenterological Association, recommend discontinuing potential pharmacologic triggers as first-line prevention or as an adjunct therapy, particularly in recurrent or refractory MC. But this approach may be ineffective in patients with established disease and could lead to inappropriate discontinuation of medication such as antihypertensives, the authors argued.
As to proposed mechanisms of action, said Khalili, “for PPIs [proton-pump inhibitors,] people thought it was related to changes in the gut microbiome. For NSAIDs [nonsteroidal anti-inflammatory drugs], people thought it could be related to changes in the gut barrier function. But overall, not a single mechanism would have explained all the prior associations that were observed.”
While medications such as PPIs and SSRIs can cause diarrhea in a small subset of users, Khalili added, “most patients generally catch these side effects very quickly and realize that stopping these medications will improve their diarrhea. This is very different than most patients we as gastroenterologists see with a new diagnosis of MC. Many of them may have been on these medications for a long time. We believe that stopping medications in these patients is unnecessary.”
Study Details
The investigators looked at eligible residents in Sweden age 65 years or older in the years 2006 to 2017 (n = 191,482 to 2,634,777). Participants had no history of inflammatory bowel disease and different cohorts were examined for various common medications from calcium channel blockers to statins.
With a primary outcome of biopsy-verified MC, dates of diagnosis were obtained from Sweden’s national histopathology cohort ESPRESSO (Epidemiology Strengthened by Histopathology Reports in Sweden). Among the findings:
- The 12- and 24-month cumulative incidences of MC were less than 0.05% under all treatment strategies.
- Estimated 12-month risk differences were close to null under angiotensin-converting enzyme vs calcium-channel blocker (CCB) initiation, angiotensin-receptor blocker vs CCB initiation, NSAID initiation vs noninitiation, PPI inhibitor initiation vs noninitiation, and statin initiation vs noninitiation.
- The estimated 12-month risk difference was 0.04% (95% CI, 0.03%-0.05%) for SSRIs vs mirtazapine.
- Results were similar for 24-month risk differences. Several medications such as SSRIs were also associated with increased risk for undergoing colonoscopy with a normal colorectal mucosa biopsy result.
“We think it’s unlikely that stopping these medications will improve symptoms of MC,” Khalili said.
Commenting on the paper but not involved in it, Jordan E. Axelrad, MD, MPH, codirector of the Inflammatory Bowel Disease Center at NYU Langone Health in New York City, said, “This study strengthens the argument that MC is an immune-mediated disease, not primarily driven by drug exposures. But future studies in diverse cohorts are required to validate these findings.” He said the study nevertheless provides reassurance that previously reported associations may have been overstated or confounded by factors such as reverse causation and increased healthcare utilization preceding the MC diagnosis.
In the meantime, Axelrad added, the findings “may reduce the inclination to promptly discontinue medications historically associated with MC in newly diagnosed cases. Also, these data help shift the clinical focus away from medication cessation alone and toward a needed and broader MC management strategy. US-based validation would likely highlight these changes in our patients.”
Despite concerns about the study’s unmeasured confounding because of differential healthcare utilization or surveillance, the modest association observed between SSRI and MC is supported by literature linking catecholamine and serotonin to gut innate immunity and microbiota, Khalili’s group wrote. “However, this finding may also be confounded by other factors including persisting surveillance and protopathic bias, especially since an association was also seen for risk for receipt of a colonoscopy with normal mucosa.”
Khalili believes the Swedish results are applicable even to the more diverse US population. He noted that lack of primary care data limited measurement of and adjustment for symptoms and medical diagnoses that increase risk. But according to Axelrad, MC is more prevalent in White, older patients, who are well-represented in Swedish cohorts but to a lesser extent in US populations. “Additionally, environmental factors and medication use patterns differ between Sweden and the US, particularly in regard to over-the-counter medication access.”
The findings have implications for future research in pharmacoepidemiologic studies of gastrointestinal-related outcomes. Since many routinely prescribed medications such as SSRIs were associated with an apparent increased risk for colonoscopies with normal colorectal biopsy results, future studies that examine gastrointestinal-specific adverse events should carefully consider potential surveillance bias.
In the meantime, Khalili stressed, it’s important to highlight that while some of these medications cause diarrhea in a small subset of patients, stopping medications in these patients is unnecessary.
This study was supported by the National Institutes of Health (NIH) and the Swedish Research Council. Khalili disclosed grants from the Crohn’s & Coiltis Foundation, the NIH and the Helmsley CharitableTrust, as well as stock ownership in Cylinder Health. One coauthor is employed by Massachusetts General Hospital. Axelrad had no relevant competing interests.
“Sensitivity analyses suggest that previously reported associations and persistent association with SSRI [selective serotonin reuptake inhibitor] initiation may be due to surveillance bias,” wrote gastroenterologist Hamed Khalili, MD, MPH, of Massachusetts General Hospital, Boston, and colleagues in Annals of Internal Medicine, advising clinicians to carefully balance the benefits of these medication classes against the very low likelihood of a causal relationship with MC.
While two smaller studies had challenged the belief that these medications can cause MC, Khalili told GI & Hepatology News, “the quality of the data that supported or refuted this hypothesis were low. Nevertheless, most in the field consider MC to be largely related to medications so we thought it was important to systematically answer this question.”
While most medications thought to trigger MC were found not to be causally linked, he added, “we did observe a marginal association with SSRIs but could not rule out the possibility that the association is related to residual bias.”
The authors noted that the incidence of MC in older persons is rising rapidly and is thought to account for more than 30% of chronic diarrhea cases in this group.
Despite weak evidence in the literature, the treatment guidelines of several societies, including the American Gastroenterological Association, recommend discontinuing potential pharmacologic triggers as first-line prevention or as an adjunct therapy, particularly in recurrent or refractory MC. But this approach may be ineffective in patients with established disease and could lead to inappropriate discontinuation of medication such as antihypertensives, the authors argued.
As to proposed mechanisms of action, said Khalili, “for PPIs [proton-pump inhibitors,] people thought it was related to changes in the gut microbiome. For NSAIDs [nonsteroidal anti-inflammatory drugs], people thought it could be related to changes in the gut barrier function. But overall, not a single mechanism would have explained all the prior associations that were observed.”
While medications such as PPIs and SSRIs can cause diarrhea in a small subset of users, Khalili added, “most patients generally catch these side effects very quickly and realize that stopping these medications will improve their diarrhea. This is very different than most patients we as gastroenterologists see with a new diagnosis of MC. Many of them may have been on these medications for a long time. We believe that stopping medications in these patients is unnecessary.”
Study Details
The investigators looked at eligible residents in Sweden age 65 years or older in the years 2006 to 2017 (n = 191,482 to 2,634,777). Participants had no history of inflammatory bowel disease and different cohorts were examined for various common medications from calcium channel blockers to statins.
With a primary outcome of biopsy-verified MC, dates of diagnosis were obtained from Sweden’s national histopathology cohort ESPRESSO (Epidemiology Strengthened by Histopathology Reports in Sweden). Among the findings:
- The 12- and 24-month cumulative incidences of MC were less than 0.05% under all treatment strategies.
- Estimated 12-month risk differences were close to null under angiotensin-converting enzyme vs calcium-channel blocker (CCB) initiation, angiotensin-receptor blocker vs CCB initiation, NSAID initiation vs noninitiation, PPI inhibitor initiation vs noninitiation, and statin initiation vs noninitiation.
- The estimated 12-month risk difference was 0.04% (95% CI, 0.03%-0.05%) for SSRIs vs mirtazapine.
- Results were similar for 24-month risk differences. Several medications such as SSRIs were also associated with increased risk for undergoing colonoscopy with a normal colorectal mucosa biopsy result.
“We think it’s unlikely that stopping these medications will improve symptoms of MC,” Khalili said.
Commenting on the paper but not involved in it, Jordan E. Axelrad, MD, MPH, codirector of the Inflammatory Bowel Disease Center at NYU Langone Health in New York City, said, “This study strengthens the argument that MC is an immune-mediated disease, not primarily driven by drug exposures. But future studies in diverse cohorts are required to validate these findings.” He said the study nevertheless provides reassurance that previously reported associations may have been overstated or confounded by factors such as reverse causation and increased healthcare utilization preceding the MC diagnosis.
In the meantime, Axelrad added, the findings “may reduce the inclination to promptly discontinue medications historically associated with MC in newly diagnosed cases. Also, these data help shift the clinical focus away from medication cessation alone and toward a needed and broader MC management strategy. US-based validation would likely highlight these changes in our patients.”
Despite concerns about the study’s unmeasured confounding because of differential healthcare utilization or surveillance, the modest association observed between SSRI and MC is supported by literature linking catecholamine and serotonin to gut innate immunity and microbiota, Khalili’s group wrote. “However, this finding may also be confounded by other factors including persisting surveillance and protopathic bias, especially since an association was also seen for risk for receipt of a colonoscopy with normal mucosa.”
Khalili believes the Swedish results are applicable even to the more diverse US population. He noted that lack of primary care data limited measurement of and adjustment for symptoms and medical diagnoses that increase risk. But according to Axelrad, MC is more prevalent in White, older patients, who are well-represented in Swedish cohorts but to a lesser extent in US populations. “Additionally, environmental factors and medication use patterns differ between Sweden and the US, particularly in regard to over-the-counter medication access.”
The findings have implications for future research in pharmacoepidemiologic studies of gastrointestinal-related outcomes. Since many routinely prescribed medications such as SSRIs were associated with an apparent increased risk for colonoscopies with normal colorectal biopsy results, future studies that examine gastrointestinal-specific adverse events should carefully consider potential surveillance bias.
In the meantime, Khalili stressed, it’s important to highlight that while some of these medications cause diarrhea in a small subset of patients, stopping medications in these patients is unnecessary.
This study was supported by the National Institutes of Health (NIH) and the Swedish Research Council. Khalili disclosed grants from the Crohn’s & Coiltis Foundation, the NIH and the Helmsley CharitableTrust, as well as stock ownership in Cylinder Health. One coauthor is employed by Massachusetts General Hospital. Axelrad had no relevant competing interests.
Agent Orange Exposure and Genetic Factors Independently Raise Risk for Multiple Lymphoma Types
TOPLINE: A large-scale case-control study using the Million Veteran Program (MVP) found The study found independent associations of both genetic predisposition and Agent Orange (AO) exposure for several lymphoid malignant neoplasm subtypes.
METHODOLOGY:
A case-control study included 255,155 US veterans enrolled in the MVP with available genotype, Agent Orange exposure information, and lymphoid malignant neoplasm diagnosis from January 1, 1965, through June T1, 2024.
Analysis focused on non-Hispanic White veterans (median age 67 years; 92.5% male) due to ancestry distribution requirements for genome-wide association studies data availability.
Researchers excluded 628 samples across all lymphoid malignant neoplasm groups and 61,343 control samples due to unavailability of AO exposure information.
Investigators analyzed risk for chronic lymphocytic leukemia, diffuse large B-cell lymphoma, follicular lymphoma, marginal zone lymphoma, and multiple myeloma as primary outcomes.
TAKEAWAY:
Agent Orange exposure was associated with increased risk for chronic lymphocytic leukemia (odds ratio [OR], 1.61; 95% confidence interval [CI], 1.40-1.84), diffuse large B-cell lymphoma (OR, 1.26; 95% CI, 1.03-1.53), follicular lymphoma (OR, 1.71; 95% CI, 1.39-2.11), and multiple myeloma (OR, 1.58; 95% CI, 1.35-1.86).
Polygenic risk scores showed significant associations with all subtypes: chronic lymphocytic leukemia (OR, 1.81; 95% CI, 1.70-1.93), diffuse large B-cell lymphoma (OR, 1.12; 95% CI, 1.02-1.21), follicular lymphoma (OR, 1.33; 95% CI, 1.21-1.47), marginal zone lymphoma (OR, 1.17; 95% CI, 1.04-1.32), and multiple myeloma (OR, 1.41; 95% CI, 1.31-1.52).
No significant polygenic risk score and AO exposure interactions were observed in the development of any lymphoid malignant neoplasm subtypes.
The researchers found independent associations of both genetic predisposition and Agent Orange exposure on several lymphoid malignant neoplasm subtypes.
IN PRACTICE:
"Our study addressed the public health concerns surrounding AO exposure and lymphoid malignant neoplasms, finding that both AO exposure and polygenic risk are independently associated with disease, suggesting potentially distinct and additive pathways that merit further investigation,” the authors wrote.
SOURCE: The study was led by Xueyi Teng, PhD, Department of Biological Chemistry, School of Medicine, University of California in Irvine, and Helen Ma, MD, Tibor Rubin Veterans Affairs Medical Center in Long Beach. It was published online in JAMA Network Open.
LIMITATIONS: According to the authors, while this represents the largest study of Agent Orange exposure and genetic risk in lymphoid malignant neoplasm development, the power to find interaction associations in specific subtypes might be limited. Self-reported AO exposure may have introduced survival bias, especially in aggressive subtypes, as patients with aggressive tumors might have died before joining the MVP. Additionally, approximately half of the patients were diagnosed with lymphoid malignant neoplasm before self-reporting AO exposure in the survey, potentially introducing recall bias.
DISCLOSURES: Xueyi Teng, PhD, reported receiving grants from the George E. Hewitt Foundation for Medical Research Postdoc Fellowship during the conduct of the study. The research was supported by grant MVPOOO and Veterans Affairs Career Development Award 1IK2CX002437-O1A1. No other disclosures were reported.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.
TOPLINE: A large-scale case-control study using the Million Veteran Program (MVP) found The study found independent associations of both genetic predisposition and Agent Orange (AO) exposure for several lymphoid malignant neoplasm subtypes.
METHODOLOGY:
A case-control study included 255,155 US veterans enrolled in the MVP with available genotype, Agent Orange exposure information, and lymphoid malignant neoplasm diagnosis from January 1, 1965, through June T1, 2024.
Analysis focused on non-Hispanic White veterans (median age 67 years; 92.5% male) due to ancestry distribution requirements for genome-wide association studies data availability.
Researchers excluded 628 samples across all lymphoid malignant neoplasm groups and 61,343 control samples due to unavailability of AO exposure information.
Investigators analyzed risk for chronic lymphocytic leukemia, diffuse large B-cell lymphoma, follicular lymphoma, marginal zone lymphoma, and multiple myeloma as primary outcomes.
TAKEAWAY:
Agent Orange exposure was associated with increased risk for chronic lymphocytic leukemia (odds ratio [OR], 1.61; 95% confidence interval [CI], 1.40-1.84), diffuse large B-cell lymphoma (OR, 1.26; 95% CI, 1.03-1.53), follicular lymphoma (OR, 1.71; 95% CI, 1.39-2.11), and multiple myeloma (OR, 1.58; 95% CI, 1.35-1.86).
Polygenic risk scores showed significant associations with all subtypes: chronic lymphocytic leukemia (OR, 1.81; 95% CI, 1.70-1.93), diffuse large B-cell lymphoma (OR, 1.12; 95% CI, 1.02-1.21), follicular lymphoma (OR, 1.33; 95% CI, 1.21-1.47), marginal zone lymphoma (OR, 1.17; 95% CI, 1.04-1.32), and multiple myeloma (OR, 1.41; 95% CI, 1.31-1.52).
No significant polygenic risk score and AO exposure interactions were observed in the development of any lymphoid malignant neoplasm subtypes.
The researchers found independent associations of both genetic predisposition and Agent Orange exposure on several lymphoid malignant neoplasm subtypes.
IN PRACTICE:
"Our study addressed the public health concerns surrounding AO exposure and lymphoid malignant neoplasms, finding that both AO exposure and polygenic risk are independently associated with disease, suggesting potentially distinct and additive pathways that merit further investigation,” the authors wrote.
SOURCE: The study was led by Xueyi Teng, PhD, Department of Biological Chemistry, School of Medicine, University of California in Irvine, and Helen Ma, MD, Tibor Rubin Veterans Affairs Medical Center in Long Beach. It was published online in JAMA Network Open.
LIMITATIONS: According to the authors, while this represents the largest study of Agent Orange exposure and genetic risk in lymphoid malignant neoplasm development, the power to find interaction associations in specific subtypes might be limited. Self-reported AO exposure may have introduced survival bias, especially in aggressive subtypes, as patients with aggressive tumors might have died before joining the MVP. Additionally, approximately half of the patients were diagnosed with lymphoid malignant neoplasm before self-reporting AO exposure in the survey, potentially introducing recall bias.
DISCLOSURES: Xueyi Teng, PhD, reported receiving grants from the George E. Hewitt Foundation for Medical Research Postdoc Fellowship during the conduct of the study. The research was supported by grant MVPOOO and Veterans Affairs Career Development Award 1IK2CX002437-O1A1. No other disclosures were reported.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.
TOPLINE: A large-scale case-control study using the Million Veteran Program (MVP) found The study found independent associations of both genetic predisposition and Agent Orange (AO) exposure for several lymphoid malignant neoplasm subtypes.
METHODOLOGY:
A case-control study included 255,155 US veterans enrolled in the MVP with available genotype, Agent Orange exposure information, and lymphoid malignant neoplasm diagnosis from January 1, 1965, through June T1, 2024.
Analysis focused on non-Hispanic White veterans (median age 67 years; 92.5% male) due to ancestry distribution requirements for genome-wide association studies data availability.
Researchers excluded 628 samples across all lymphoid malignant neoplasm groups and 61,343 control samples due to unavailability of AO exposure information.
Investigators analyzed risk for chronic lymphocytic leukemia, diffuse large B-cell lymphoma, follicular lymphoma, marginal zone lymphoma, and multiple myeloma as primary outcomes.
TAKEAWAY:
Agent Orange exposure was associated with increased risk for chronic lymphocytic leukemia (odds ratio [OR], 1.61; 95% confidence interval [CI], 1.40-1.84), diffuse large B-cell lymphoma (OR, 1.26; 95% CI, 1.03-1.53), follicular lymphoma (OR, 1.71; 95% CI, 1.39-2.11), and multiple myeloma (OR, 1.58; 95% CI, 1.35-1.86).
Polygenic risk scores showed significant associations with all subtypes: chronic lymphocytic leukemia (OR, 1.81; 95% CI, 1.70-1.93), diffuse large B-cell lymphoma (OR, 1.12; 95% CI, 1.02-1.21), follicular lymphoma (OR, 1.33; 95% CI, 1.21-1.47), marginal zone lymphoma (OR, 1.17; 95% CI, 1.04-1.32), and multiple myeloma (OR, 1.41; 95% CI, 1.31-1.52).
No significant polygenic risk score and AO exposure interactions were observed in the development of any lymphoid malignant neoplasm subtypes.
The researchers found independent associations of both genetic predisposition and Agent Orange exposure on several lymphoid malignant neoplasm subtypes.
IN PRACTICE:
"Our study addressed the public health concerns surrounding AO exposure and lymphoid malignant neoplasms, finding that both AO exposure and polygenic risk are independently associated with disease, suggesting potentially distinct and additive pathways that merit further investigation,” the authors wrote.
SOURCE: The study was led by Xueyi Teng, PhD, Department of Biological Chemistry, School of Medicine, University of California in Irvine, and Helen Ma, MD, Tibor Rubin Veterans Affairs Medical Center in Long Beach. It was published online in JAMA Network Open.
LIMITATIONS: According to the authors, while this represents the largest study of Agent Orange exposure and genetic risk in lymphoid malignant neoplasm development, the power to find interaction associations in specific subtypes might be limited. Self-reported AO exposure may have introduced survival bias, especially in aggressive subtypes, as patients with aggressive tumors might have died before joining the MVP. Additionally, approximately half of the patients were diagnosed with lymphoid malignant neoplasm before self-reporting AO exposure in the survey, potentially introducing recall bias.
DISCLOSURES: Xueyi Teng, PhD, reported receiving grants from the George E. Hewitt Foundation for Medical Research Postdoc Fellowship during the conduct of the study. The research was supported by grant MVPOOO and Veterans Affairs Career Development Award 1IK2CX002437-O1A1. No other disclosures were reported.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.