Arterial stiffness nomogram identification by cluster analysis: A new approach of vascular phenotype modeling

Vallée, Alexandre

doi:10.1111/jch.14571

Cited by 9 publications

(6 citation statements)

References 66 publications

(127 reference statements)

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“…In present study, the nomogram of arterial stiffness was developed. Although a few models were developed for arterial stiffness in the past 17,18 . The variables selected into the model in this study are not completely the same as those in previous studies, which may be due to different ethnic backgrounds, and arterial stiffness in previous studies was often measured by other methods, instead of cfPWV.…”

Section: Discussionmentioning

confidence: 99%

“…Although a few models were developed for arterial stiffness in the past. 17 , 18 The variables selected into the model in this study are not completely the same as those in previous studies, which may be due to different ethnic backgrounds, and arterial stiffness in previous studies was often measured by other methods, instead of cfPWV. In addition, only the nomogram in this study was fully evaluated regarding discrimination, accuracy, benefit of clinical application and consistency.…”

Section: Discussionmentioning

confidence: 99%

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Development and validation of a nomogram for arterial stiffness

Wang,

Cai,

Zhang

et al. 2023

J of Clinical Hypertension

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Even though as a gold standard for noninvasive measurement of arterial stiffness, carotid‐femoral pulse wave velocity (cfPWV) is not widely used in primary healthcare institutions due to time‐consuming and unavailable equipment. The aim of this study was to develop a convenient and low‐cost nomogram model for arterial stiffness screening. A cross‐sectional study was undertaken in the department of general practice, the First Affiliated Hospital of Fujian Medical University. Arterial stiffness was defined as cfPWV ≥ 10 m/s. A total of 2717 participants were recruited to construct the nomogram using the least absolute shrinkage and selection operator and logistic regressions. Receiver operating characteristic (ROC) curve, calibration curve, decision curve analysis, clinical impact curve were used to evaluate the performance of the model. The model was validated internally and externally (399 participants) by bootstrap method. Arterial stiffness was identified in 913 participants (33.60%). Age, sex, waist to hip ratio, systolic blood pressure, duration of diabetes, heart rate were selected to construct the nomogram model. Good discrimination and accuracy were exhibited with area under curve of 0.820 (95% CI 0.803–0.837) in ROC curve and mean absolute error = 0.005 in calibration curve. A positive net benefit was shown in decision curve analysis and clinical impact curve. A satisfactory agreement was displayed in internal validation and external validation. The low cost and user‐friendly nomogram is suitable for arterial stiffness screening in primary healthcare institutions.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Development and validation of a nomogram for arterial stiffness

Wang,

Cai,

Zhang

et al. 2023

J of Clinical Hypertension

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show abstract

“…These factors include blood pressure, blood glucose levels, and LDL cholesterol levels [20]. Consequently, arterial stiffness is assessed using pulse wave velocity (PWV) [21]. The Arterial Stiffness Index (ASI) has recently gained attention for quantifying the degree of arteriosclerosis.…”

Section: Discussionmentioning

confidence: 99%

Type 2 Diabetes (T2D) Case with Digestive and Cardiovascular Disorders Treated by EquMet and Twymeeg

Kondo,

Bando,

Okada

et al. 2023

Asp Biomed Clin Case Rep

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This case involves a 76-year-old female patient with type 2 diabetes (T2D), diabetic gastroenteropathy, and slight arteriosclerosis. Her HbA1c levels have been unstable for years due to her typical carbohydrate intake. Her symptoms include constipation, nausea, and abdominal fullness. Despite being on magnesium oxide and picosulfate, she experiences difficulty achieving smooth bowel movements for an extended period. In March 2023, her HbA1c levels increased to 8.5%. Subsequently, EquMet and Twymeeg were initiated, resulting in remarkable clinical effects, with her HbA1c dropping to 5.9% by August 2023. A Holter ECG recorded ventricular premature contractions (VPC) occurring 10 times (0.010%) over a 24-hour period. Additionally, plethysmography indicated a cardio-ankle vascular index (CAVI) of 9.5/9.3, suggesting slight arteriosclerosis.

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“…Diabetes status was defined on either receiving anti-diabetic medication or diabetes diagnosed by a doctor or a fasting glucose concentration ≥ 7 mmol/L. Dyslipidemia was defined as having a fasting plasma total-cholesterol or triglycerides level of ≥ 6.61 mmol/L (255 mg/dL) or > 1.7 mmol/L (150 mg/dL) respectively or having statins medication 35 . Hypertension was defined as systolic blood pressure (SBP) at least 140 mm Hg and/or diastolic BP (DBP) at least 90 mm Hg 36 .…”

Section: Methodsmentioning

confidence: 99%

Association between cannabis use and blood pressure levels according to comorbidities and socioeconomic status

Vallée

2023

Sci Rep

Self Cite

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The associations between blood pressure and cannabis use remain inconsistent. The purpose of our study was to examine gender stratified associations of cannabis use and blood pressure [systolic, diastolic blood pressure (BP), pulse pressure (PP)] levels among the general UK Biobank population based study. Among 91,161 volunteers of the UK Biobank population, cannabis use status was assessed by questionnaire and range as heavy, moderate, low and never users. Associations between cannabis use and BP were estimated using multiple gender linear regressions. In adjusted covariates models, lifetime heavy cannabis use was associated with decrease in both SBP, DBP and PP in both genders, but with a higher effect among women (for SBP in men, b = − 1.09 (0.27), p < 0.001; in women, b = − 1.85 (0.36), p < 0.001; for DBP in men, b = − 0.50 (0.15), p < 0.001; in women, b = − 0.87 (0.17), p < 0.001; and for PP in men, b = − 0.60 (0.20), p < 0.001; in women, b = − 0.97 (0.27), p < 0.001. Among men, lower SBP and DBP levels were observed with participants without dyslipidemia and lower PP in participants with high income levels. Among women, lower SBP, DBP and PP were observed with current smokers, moderate/low alcohol levels and participants without dyslipidemia. Current cannabis use was associated with lower SBP levels in men (b = − 0.63 (0.25), p = 0.012) and in women (b = − 1.17 (0.31), p < 0.001). Same results were observed for DBP and PP. Negative association between BP in men was found but not in women. The small association in BP differences between heavy users and never users remains too small to adopt cannabis-blood pressure public policy in clinical practice.

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Arterial stiffness nomogram identification by cluster analysis: A new approach of vascular phenotype modeling

Cited by 9 publications

References 66 publications

Development and validation of a nomogram for arterial stiffness

Development and validation of a nomogram for arterial stiffness

Type 2 Diabetes (T2D) Case with Digestive and Cardiovascular Disorders Treated by EquMet and Twymeeg

Association between cannabis use and blood pressure levels according to comorbidities and socioeconomic status

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