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Pregled bibliografske jedinice broj: 1159341

Echolucency-based phenotype in carotid atherosclerosis disease for risk stratification of diabetes patients

Kotsis, Vasileios; Jamthikar, Ankush D.; Araki, Tadashi; Gupta, Deep; Laird, John R.; Giannopoulos, Argiris A.; Saba, Luca; Suri, Harman S.; Mavrogeni, Sophie; Kitas, George D. et al.
Echolucency-based phenotype in carotid atherosclerosis disease for risk stratification of diabetes patients // Diabetes Research and Clinical Practice, 143 (2018), 322-331 doi:10.1016/j.diabres.2018.07.028 (međunarodna recenzija, članak, znanstveni)

CROSBI ID: 1159341 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Echolucency-based phenotype in carotid atherosclerosis disease for risk stratification of diabetes patients

Autori
Kotsis, Vasileios ; Jamthikar, Ankush D. ; Araki, Tadashi ; Gupta, Deep ; Laird, John R. ; Giannopoulos, Argiris A. ; Saba, Luca ; Suri, Harman S. ; Mavrogeni, Sophie ; Kitas, George D. ; Višković, Klaudija ; Khanna, Narendra N. ; Gupta, Ajay ; Nicolaides, Andrew ; Suri, Jasjit S.

Izvornik
Diabetes Research and Clinical Practice (0168-8227) 143 (2018); 322-331

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Age-adjusted grayscale median ; Carotid atherosclerosis ; Diabetes ; Hemoglobin ; Plaque echolucency ; Ultrasound

Sažetak
Aim: The study investigated the association of carotid ultrasound echolucent plaque-based biomarker with HbA1c, measured as age-adjusted grayscale median (AAGSM) as a function of chronological age, total plaque area, and conventional grayscale median (GSMconv). Methods: Two stages were developed: (a) automated measurement of carotid parameters such as total plaque area (TPA) ; (b) computing the AAGSM as a function of GSMconv, age, and TPA. Intra-operator (novice and experienced) analysis was conducted. Results: IRB approved, 204 patients' left/right CCA (408 images) ultrasound scans were collected: mean age: 69 ± 11 years ; mean HbA1c: 6.12 ± 1.47%. A moderate inverse correlation was observed between AAGSM and HbA1c (CC of -0.13, P = 0.01), compared to GSM (CC of -0.06, P = 0.24). The RCCA and LCCA showed CC of -0.18, P < 0.01 and -0.08 ; P < 0.24. Female and males showed CC of -0.29, P < 0.01 and -0.10, P = 0.09. Using the threshold for AAGSM and HbA1c as: low-risk (AAGSM > 100 ; HbA1c < 5.7%), moderate-risk (40 < AAGSM < 100 ; 5.7% < HbA1c < 6.5%) and high-risk (AAGSM < 40 ; HbA1c > 6.5%), the area under the curve showed a better performance of AAGSM over GSMconv. A paired t-test between operators and expert (P < 0.0001) ; inter- operator CC of 0.85 (P < 0.0001). Conclusions: Echolucent plaque in patients with diabetes can be more accurately characterized for risk stratification using AAGSM compared to GSMconv.

Izvorni jezik
Engleski

Znanstvena područja
Kliničke medicinske znanosti



POVEZANOST RADA

Ustanove:
Klinika za infektivne bolesti "Dr Fran Mihaljević",
Zdravstveno veleučilište, Zagreb,
Fakultet zdravstvenih studija u Rijeci

Profili:

Avatar Url Klaudija Višković (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Kotsis, Vasileios; Jamthikar, Ankush D.; Araki, Tadashi; Gupta, Deep; Laird, John R.; Giannopoulos, Argiris A.; Saba, Luca; Suri, Harman S.; Mavrogeni, Sophie; Kitas, George D. et al.
Echolucency-based phenotype in carotid atherosclerosis disease for risk stratification of diabetes patients // Diabetes Research and Clinical Practice, 143 (2018), 322-331 doi:10.1016/j.diabres.2018.07.028 (međunarodna recenzija, članak, znanstveni)
Kotsis, V., Jamthikar, A., Araki, T., Gupta, D., Laird, J., Giannopoulos, A., Saba, L., Suri, H., Mavrogeni, S. & Kitas, G. (2018) Echolucency-based phenotype in carotid atherosclerosis disease for risk stratification of diabetes patients. Diabetes Research and Clinical Practice, 143, 322-331 doi:10.1016/j.diabres.2018.07.028.
@article{article, author = {Kotsis, Vasileios and Jamthikar, Ankush D. and Araki, Tadashi and Gupta, Deep and Laird, John R. and Giannopoulos, Argiris A. and Saba, Luca and Suri, Harman S. and Mavrogeni, Sophie and Kitas, George D. and Vi\v{s}kovi\'{c}, Klaudija and Khanna, Narendra N. and Gupta, Ajay and Nicolaides, Andrew and Suri, Jasjit S.}, year = {2018}, pages = {322-331}, DOI = {10.1016/j.diabres.2018.07.028}, keywords = {Age-adjusted grayscale median, Carotid atherosclerosis, Diabetes, Hemoglobin, Plaque echolucency, Ultrasound}, journal = {Diabetes Research and Clinical Practice}, doi = {10.1016/j.diabres.2018.07.028}, volume = {143}, issn = {0168-8227}, title = {Echolucency-based phenotype in carotid atherosclerosis disease for risk stratification of diabetes patients}, keyword = {Age-adjusted grayscale median, Carotid atherosclerosis, Diabetes, Hemoglobin, Plaque echolucency, Ultrasound} }
@article{article, author = {Kotsis, Vasileios and Jamthikar, Ankush D. and Araki, Tadashi and Gupta, Deep and Laird, John R. and Giannopoulos, Argiris A. and Saba, Luca and Suri, Harman S. and Mavrogeni, Sophie and Kitas, George D. and Vi\v{s}kovi\'{c}, Klaudija and Khanna, Narendra N. and Gupta, Ajay and Nicolaides, Andrew and Suri, Jasjit S.}, year = {2018}, pages = {322-331}, DOI = {10.1016/j.diabres.2018.07.028}, keywords = {Age-adjusted grayscale median, Carotid atherosclerosis, Diabetes, Hemoglobin, Plaque echolucency, Ultrasound}, journal = {Diabetes Research and Clinical Practice}, doi = {10.1016/j.diabres.2018.07.028}, volume = {143}, issn = {0168-8227}, title = {Echolucency-based phenotype in carotid atherosclerosis disease for risk stratification of diabetes patients}, keyword = {Age-adjusted grayscale median, Carotid atherosclerosis, Diabetes, Hemoglobin, Plaque echolucency, Ultrasound} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE

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