TY - GEN
T1 - Type II Diabetes as the Main Risk Factor of Arterial Stiffness in Chronic Kidney Disease Patients
AU - Susilo, Hendri
AU - Alsagaff, Mochamad Yusuf
AU - Pikir, Budi Susetyo
AU - Thaha, Mochammad
AU - Wungu, Citrawati Dyah Kencono
N1 - Publisher Copyright:
© 2022 ACM.
PY - 2022/5/15
Y1 - 2022/5/15
N2 - Chronic kidney disease (CKD) is frequently linked to an increased risk of cardiovascular disease. Diabetes, hypertension, dyslipidemia, and obesity are all traditional risk factors of cardiovascular disease in CKD. However, the contribution of each of the traditional risk factors to arterial stiffness is unknown. This was a correlational study with a cross-sectional design. This study included forty CKD patients from Universitas Airlangga Hospital Surabaya, between December 2019 until March 2020. Serum samples were used to measure laboratory parameters, and Doppler ultrasound was used to assess carotid-femoral Pulse Wave Velocity (cfPWV). Spearman's analysis was conducted to determine correlations between cf-PWV and e-GFR, HBA1C, serum creatinine, and cystatin-C. Mann-Whitney test was performed to determine the association between type II diabetes with cf-PWV. Significant results were continued with linear regression analysis model. There were significant correlations between cf-PWV and e-GFR, HBA1C, serum creatinine, and cystatin-C. HBA1C showed the most significant positive correlation with a moderate correlation coefficient (p = 0.000; r = 0.581). Patients with type II diabetes was associated with increased cf-PWV. Linear regression model also revealed that HBA1C and history of diabetes were significant predictors of increased cf-PWV in CKD patients (β= 0.400; p = 0.011 and β= 0.537; p = 0.000, respectively). We found a positive correlation between HBA1C and cf-PWV and association between type II diabetes and increased cf-PWV. This proved that type II diabetes, especially with high HBA1C, acted as a significant risk factor for predicting increased arterial stiffness in CKD patients.
AB - Chronic kidney disease (CKD) is frequently linked to an increased risk of cardiovascular disease. Diabetes, hypertension, dyslipidemia, and obesity are all traditional risk factors of cardiovascular disease in CKD. However, the contribution of each of the traditional risk factors to arterial stiffness is unknown. This was a correlational study with a cross-sectional design. This study included forty CKD patients from Universitas Airlangga Hospital Surabaya, between December 2019 until March 2020. Serum samples were used to measure laboratory parameters, and Doppler ultrasound was used to assess carotid-femoral Pulse Wave Velocity (cfPWV). Spearman's analysis was conducted to determine correlations between cf-PWV and e-GFR, HBA1C, serum creatinine, and cystatin-C. Mann-Whitney test was performed to determine the association between type II diabetes with cf-PWV. Significant results were continued with linear regression analysis model. There were significant correlations between cf-PWV and e-GFR, HBA1C, serum creatinine, and cystatin-C. HBA1C showed the most significant positive correlation with a moderate correlation coefficient (p = 0.000; r = 0.581). Patients with type II diabetes was associated with increased cf-PWV. Linear regression model also revealed that HBA1C and history of diabetes were significant predictors of increased cf-PWV in CKD patients (β= 0.400; p = 0.011 and β= 0.537; p = 0.000, respectively). We found a positive correlation between HBA1C and cf-PWV and association between type II diabetes and increased cf-PWV. This proved that type II diabetes, especially with high HBA1C, acted as a significant risk factor for predicting increased arterial stiffness in CKD patients.
KW - Type II diabetes
KW - arterial stiffness
KW - cardiovascular disease
KW - cf-PWV
KW - chronic kidney disease
UR - http://www.scopus.com/inward/record.url?scp=85139986117&partnerID=8YFLogxK
U2 - 10.1145/3545729.3545771
DO - 10.1145/3545729.3545771
M3 - Conference contribution
AN - SCOPUS:85139986117
T3 - ACM International Conference Proceeding Series
SP - 210
EP - 214
BT - ICMHI 2022 - 2022 6th International Conference on Medical and Health Informatics
PB - Association for Computing Machinery
T2 - 6th International Conference on Medical and Health Informatics, ICMHI 2022
Y2 - 12 May 2022 through 15 May 2022
ER -