User profiles for Navdeep Tangri

Navdeep Tangri

Professor of Medicine and Community Health Sciences, University of Manitoba
Verified email at sogh.mb.ca
Cited by 16446

A predictive model for progression of chronic kidney disease to kidney failure

N Tangri, LA Stevens, J Griffith, H Tighiouart… - Jama, 2011 - jamanetwork.com
Context Chronic kidney disease (CKD) is common. Kidney disease severity can be
classified by estimated glomerular filtration rate (GFR) and albuminuria, but more accurate …

Predicting mortality in incident dialysis patients: an analysis of the United Kingdom Renal Registry

…, JL Griffith, D Naimark, C Wanner, N Tangri - American Journal of …, 2011 - Elsevier
Background The risk of death in dialysis patients is high, but varies significantly among
patients. No prediction tool is used widely in current clinical practice. We aimed to predict long-…

[HTML][HTML] The case for early identification and intervention of chronic kidney disease: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) …

…, AP Kengne, M Madero, B Mihaylova, N Tangri… - Kidney international, 2021 - Elsevier
Chronic kidney disease (CKD) causes substantial global morbidity and increases cardiovascular
and all-cause mortality. Unlike other chronic diseases with established strategies for …

Risk prediction models for patients with chronic kidney disease: a systematic review

N Tangri, GD Kitsios, LA Inker, J Griffith… - Annals of internal …, 2013 - acpjournals.org
Background: Patients with chronic kidney disease (CKD) are at increased risk for kidney
failure, cardiovascular events, and all-cause mortality. Accurate models are needed to predict …

Multinational assessment of accuracy of equations for predicting risk of kidney failure: a meta-analysis

N Tangri, ME Grams, AS Levey, J Coresh, LJ Appel… - Jama, 2016 - jamanetwork.com
Importance Identifying patients at risk of chronic kidney disease (CKD) progression may
facilitate more optimal nephrology care. Kidney failure risk equations, including such factors as …

Cardiovascular events associated with SGLT-2 inhibitors versus other glucose-lowering drugs: the CVD-REAL 2 study

…, DJ Kim, A Karasik, J Shaw, N Tangri… - Journal of the American …, 2018 - jacc.org
Background Randomized trials demonstrated a lower risk of cardiovascular (CV) events
with sodium-glucose cotransporter-2 inhibitors (SGLT-2i) in patients with type 2 diabetes (T2D) …

A meta-analysis of the association of estimated GFR, albuminuria, diabetes mellitus, and hypertension with acute kidney injury

…, SH Jee, H Kimm, Y Mok, N Tangri… - American Journal of …, 2015 - Elsevier
Background Diabetes mellitus and hypertension are risk factors for acute kidney injury (AKI).
Whether estimated glomerular filtration rate (eGFR) and urine albumin-creatinine ratio (ACR…

Cost-effectiveness of primary screening for CKD: a systematic review

…, C Rigatto, C Koolage, MM Sood, N Tangri - American Journal of …, 2014 - Elsevier
Background Chronic kidney disease (CKD) is a major health problem with an increasing
incidence worldwide. Data on the cost-effectiveness of CKD screening in the general …

[HTML][HTML] The impact of frailty on outcomes after cardiac surgery: a systematic review

…, A Hassan, C Rigatto, C Shaw-Daigle, N Tangri… - The Journal of thoracic …, 2014 - Elsevier
Objective Current preoperative assessments for cardiac surgery, such as the European System
for Cardiac Operative Risk Evaluation II and the Society of Thoracic Surgeons risk score, …

[HTML][HTML] Prevalence, outcomes, and cost of chronic kidney disease in a contemporary population of 2· 4 million patients from 11 countries: The CaReMe CKD study

…, MM Sood, G VanPottelbergh, N Tangri - The Lancet Regional …, 2022 - thelancet.com
Background Digital healthcare systems data could provide insights into the global prevalence
of chronic kidney disease (CKD). We designed the CaReMe CKD study to estimate the …