scholarly journals Renal Artery Stenosis: Diagnostic and Management Problems

2020 ◽  
Vol 1 (2) ◽  
pp. 96-109
Author(s):  
Nur Samsu ◽  
Affa Kiysa Waafi

Renal artery stenosis is one common clinical problem. It has wide spectrum of pathophysiology with 3 most common clinical syndromes, ischemic nephropathy, hypertension, and cardiac destabilization syndrome. Aim: To date there was not any specific diagnostic criteria for renal artery stenosis. Method: Clinicians only used some clinical syndromes to guide the diagnostic possibility of renal artery stenosis. RADUS as one sensitive and specific diagnostic method, still had some disadvantages. Results: it gives false negative results in 10-20% of patients due to confounding factors such as operator capability, obesity, or abdominal gas distribution. CTA and MRA was excellent, but possessed some risks for the patient. Therefore, CTA was mostly recommended in patient with the planning of revascularization. Management of renal artery stenosis was still debated between optimal medical management and revascularization because the complexities of mechanisms underlying the renal artery stenosis. Because of the complicated pathophysiology of renal artery stenosis, revascularization could not entirely improve renovascular hypertension and nephropathy. Revascularization offered best results in fibromuscular dysplasia, although procedure related complication was still high. Revascularization, even though it might have high success rate in atherosclerotic renal artery stenosis, but the incidence of re-stenosis was also fairly high. Conclusion: Overall, revascularization was recommended in FMD, but should only be preserved for atherosclerotic renal artery stenosis after the failure of optimal medical management.

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
A Kablak-Ziembicka ◽  
A Roslawiecka ◽  
R Badacz ◽  
A Sokolowski ◽  
P Musialek ◽  
...  

Abstract Background It is little known about predictors of systolic (SBP) and diastolic (DBP) blood pressure or renal function (eGFR) improvement in patients with atherosclerotic renal artery stenosis (ARAS) undergoing stent-assisted angioplasty (PTA). Therefore, we aimed to build a prediction scores that would indicate characteristics of patient subsets with ARAS most likely to have clinical improvement following PTA. Methods 201 patients who underwent PTA for ARAS (2003–2018) were categorized as eGFR or SBP/DBP responders based on eGFR increase of ≥11 ml/min/1.73m2, decrease of SBP ≥20mmHg and DBP ≥5mmHg at 12-months following PTA. The remaining patients were classified as non-responders. The performance of logistic regression models were evaluated by basic decision characteristics. Continuous data have been transformed into binary coding with help of operating characteristic (ROC) curve. Predictive models have been constructed for each followed by construction of predictive models in each of 3 categories. Results Logistic regression analysis showed that: baseline SBP>145 mmHg, DBP >82 mmHg, previous myocardial infarction and Renal-Aotric-Ratio >5.1 were independent influencing factors of SBP response, with relative risk percentage shares of 69.8%; 12.1%; 10.9%; and 7.2%, respectively (sensitivity: 82%, specificity: 86.3%, positive (PPV):82% and negative (NPV) predictive values: 86.3%). The DBP decrease prediction model included baseline SBP >145 mmHg and DBP >82 mmHg, the ARAS progression, index kidney length >106 mm, and bilateral PTA with respective shares of 35.0%; 21.8%; 18.2%; 13.3% and 11.8%. (sensitivity: 76%, specificity: 77.8%, PPV: 80.7% and NPV: 72.6%). The eGFR increase was associated with baseline serum creatinine >122 μmol/L but eGFR greater than 30 ml/min/1.73m2, index kidney length >98 mm, end-diastolic velocity in index renal artery, renal resistive index <0.74, and requirement for >3 BP medications, with respective shares of 24.4%; 24.4%; 21.2%; 15% and 15% (sensitivity: 33.3%, specificity: 93.5%, PPV: 65.6% and NPV: 78.9%). Conclusions Current study identified clinical characteristics of patients who most likely to respond to PTA for ARAS. The sutability of the score should be verified in a prospective cohort of patients referred to PTA of ARAS Funding Acknowledgement Type of funding source: None


1995 ◽  
Vol 75 (15) ◽  
pp. 1051-1055 ◽  
Author(s):  
Gerald Dorros ◽  
Michael Jaff ◽  
Aditiya Jain ◽  
Christine Dufek ◽  
Lynne Mathiak

Hypertension ◽  
2010 ◽  
Vol 55 (4) ◽  
pp. 961-966 ◽  
Author(s):  
Monika L. Gloviczki ◽  
James F. Glockner ◽  
Lilach O. Lerman ◽  
Michael A. McKusick ◽  
Sanjay Misra ◽  
...  

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