Skip to main content
Top
Published in: Journal of Diabetes & Metabolic Disorders 2/2020

Open Access 01-12-2020 | Diabetes | Research article

Assessment of renal impairment using estimated glomerular filtration rate among type 2 diabetes mellitus patients in North-East Ethiopia: a cross-sectional study

Author: Mitku Mammo Taderegew

Published in: Journal of Diabetes & Metabolic Disorders | Issue 2/2020

Login to get access

Abstract

Background

Chronic kidney disease (CKD) is the known cause of morbidity and mortality among diabetes mellitus (DM) patients. Targeted screening of renal impairment based on estimated glomerular filtration rate (eGFR) among DM patients has potential benefits in early identification and treatment of CKD. Hence, this study was aimed to estimate the magnitude of renal impairment using eGFR among type 2 DM patients.

Methods

An institution-based cross-sectional study was conducted from February-1 to April 30/2020 among 422 type 2 DM patients in Northeast Ethiopia. Data were collected by the semi-structured questioner and serum creatinine measurement. The collected data were edited into Epi-data manager version 4.4.1.0, and the analysis was performed by SPSS-25. The Simplified Modification of Diet in Renal Disease (MDRD), Chronic Kidney Disease Epidemiology (CKD-EPI), and Cockcroft-Gault (C-G) equations were used to calculate eGFR.

Results

Of all study participants, 82(19.4%), 92(21.8%), and 103(24.4%) had eGFR < 60 ml/min/1.73 m2, according to the MDRD, CKD-EPI, and C-G equations, respectively. Female sex, (MDRD:AOR = 4.44, 95%CI:1.97–9.97, CKD-EPI:AOR = 3.17, 95%CI:1.27–6.17, and C-G:AOR = 2.65, 95%CI:1.35–5.21), duration ≥ 10 years (MDRD:AOR = 3.38, 95%CI:1.45–7.92, CKD-EPI:AOR = 3.09, 95%CI:1.07–7.77, and C-G:AOR = 2.92, 95%CI:1.29–6.61), age ˃60 years (MDRD:AOR = 2.29, 95%CI:1.09–4.77, CKD-EPI:AOR = 4.12, 95%CI:1.68–6.78, and C-G: AOR = 3.42, 95%CI:1.77–6.60), hypertension (MDRD:AOR = 3.12, 95%CI:1.51–6.45, CKD-EPI: AOR = 4.21,95%CI:2.07–7.98, and C-G:AOR = 3.99, 95%CI:2.08–7.65), poor glycemic control (MDRD:AOR = 2.82, 95%CI:1.13–7.05, and C-G:AOR = 2.34, 95%CI:1.09–5.04), and body mass index (MDRD:AOR = 1.11, 95%CI:1.01–1.22, and CKD-EPI:AOR = 2.43, 95%CI:1.27–5.76) were significantly associated with renal impairment.

Conclusion

Renal impairment was prevalent among type 2 DM patients. Older age, female sex, duration, hypertension, poor glycemic control, and BMI were significantly associated with renal impairment.
Literature
1.
go back to reference Mills KT, Xu Y, Zhang W, Bundy JD, Chen CS, Kelly TN, et al. A systematic analysis of worldwide population-based data on the global burden of chronic kidney disease in 2010. Kidney Int. 2015;88(5):950–7. CrossRefPubMedPubMedCentral Mills KT, Xu Y, Zhang W, Bundy JD, Chen CS, Kelly TN, et al. A systematic analysis of worldwide population-based data on the global burden of chronic kidney disease in 2010. Kidney Int. 2015;88(5):950–7. CrossRefPubMedPubMedCentral
2.
go back to reference Kramer H, Molitch ME. Screening for kidney disease in adults with diabetes. Diabetes Care. 2005;28(7):1813–6.CrossRefPubMed Kramer H, Molitch ME. Screening for kidney disease in adults with diabetes. Diabetes Care. 2005;28(7):1813–6.CrossRefPubMed
3.
go back to reference Wachukwu CM, Emem-Chioma PC, Wokoma FS, Oko-Jaja RI. Prevalence of risk factors for chronic kidney disease among adults in a university community in southern Nigeria. Pan Afr Med J. 2015;21:120. CrossRefPubMedPubMedCentral Wachukwu CM, Emem-Chioma PC, Wokoma FS, Oko-Jaja RI. Prevalence of risk factors for chronic kidney disease among adults in a university community in southern Nigeria. Pan Afr Med J. 2015;21:120. CrossRefPubMedPubMedCentral
4.
5.
go back to reference Kovesdy CP, Sharma K, Kalantar-Zadeh K. Glycemic control in diabetic CKD patients: where do we stand? American journal of kidney diseases. 2008;52(4):766–77.CrossRefPubMed Kovesdy CP, Sharma K, Kalantar-Zadeh K. Glycemic control in diabetic CKD patients: where do we stand? American journal of kidney diseases. 2008;52(4):766–77.CrossRefPubMed
6.
go back to reference Gaballa MR, Farag YM. Predictors of diabetic nephropathy. Central European Journal of Medicine. 2013;8(3):287–96. Gaballa MR, Farag YM. Predictors of diabetic nephropathy. Central European Journal of Medicine. 2013;8(3):287–96.
7.
go back to reference Park J, Lertdumrongluk P, Molnar MZ, Kovesdy CP, Kalantar-Zadeh K. Glycemic control in diabetic dialysis patients and the burnt-out diabetes phenomenon. Curr Diabetes Rep. 2012;12(4):432–9.CrossRef Park J, Lertdumrongluk P, Molnar MZ, Kovesdy CP, Kalantar-Zadeh K. Glycemic control in diabetic dialysis patients and the burnt-out diabetes phenomenon. Curr Diabetes Rep. 2012;12(4):432–9.CrossRef
9.
go back to reference Narenpitak S, Narenpitak A. Prevalence of chronic kidney disease in type 2 diabetes in primary health care unit of Udon Thani province, Thailand. J Med Assoc Thail. 2008;91(10):1505–13. Narenpitak S, Narenpitak A. Prevalence of chronic kidney disease in type 2 diabetes in primary health care unit of Udon Thani province, Thailand. J Med Assoc Thail. 2008;91(10):1505–13.
10.
go back to reference Yeh CH, Yu HC, Huang TY, Huang PF, Wang YC, Chen TP, et al. The risk of diabetic renal function impairment in the first decade after diagnosis of diabetes mellitus is correlated with high variability of visit-to-visit systolic and diastolic blood pressure: a case-control study. BMC Nephrol. 2017;18(1):99. CrossRefPubMedPubMedCentral Yeh CH, Yu HC, Huang TY, Huang PF, Wang YC, Chen TP, et al. The risk of diabetic renal function impairment in the first decade after diagnosis of diabetes mellitus is correlated with high variability of visit-to-visit systolic and diastolic blood pressure: a case-control study. BMC Nephrol. 2017;18(1):99. CrossRefPubMedPubMedCentral
12.
go back to reference Daar AS, Singer PA, Persad L, Pramming SK, Matthews R, Beaglehole R, et al. Grand challenges in chronic non-communicable diseases. Nature. 2007;450(7169):494–6.CrossRefPubMed Daar AS, Singer PA, Persad L, Pramming SK, Matthews R, Beaglehole R, et al. Grand challenges in chronic non-communicable diseases. Nature. 2007;450(7169):494–6.CrossRefPubMed
14.
go back to reference Gill GV, Mbanya JC, Ramaiya KL, Tesfaye S. A sub-Saharan African perspective of diabetes. Diabetologia. 2009;52(1):8–16. CrossRefPubMed Gill GV, Mbanya JC, Ramaiya KL, Tesfaye S. A sub-Saharan African perspective of diabetes. Diabetologia. 2009;52(1):8–16. CrossRefPubMed
15.
go back to reference Gill G, Gebrekidan A, English P, Wile D, Tesfaye S. Diabetic complications and glycaemic control in remote North Africa. QJM. 2008;101(10):793–8. CrossRefPubMed Gill G, Gebrekidan A, English P, Wile D, Tesfaye S. Diabetic complications and glycaemic control in remote North Africa. QJM. 2008;101(10):793–8. CrossRefPubMed
19.
go back to reference Abebe N, Kebede T, Addise D. Diabetes in Ethiopia 2000–2016–prevalence and related acute and chronic complications; a systematic review. Afr J Diabetes Med. 2017;25(2):7–12. Abebe N, Kebede T, Addise D. Diabetes in Ethiopia 2000–2016–prevalence and related acute and chronic complications; a systematic review. Afr J Diabetes Med. 2017;25(2):7–12.
22.
go back to reference Kalyesubula R, Fabian J, Nakanga W, Newton R, Ssebunnya B, Prynn J, et al. How to estimate glomerular filtration rate in sub-Saharan Africa: design and methods of the African Research into Kidney Diseases (ARK) study. BMC Nephrol. 2020;21(1):1–2. CrossRef Kalyesubula R, Fabian J, Nakanga W, Newton R, Ssebunnya B, Prynn J, et al. How to estimate glomerular filtration rate in sub-Saharan Africa: design and methods of the African Research into Kidney Diseases (ARK) study. BMC Nephrol. 2020;21(1):1–2. CrossRef
23.
go back to reference Boettcher C, Utsch B, Galler A, Grasemann C, Borkenstein M, Denzer C, et al. Estimated glomerular filtration rates calculated by new and old equations in children and adolescents with type 1 diabetes—What to do with the results? Front Endocrinol. 2020;21(11):52. CrossRef Boettcher C, Utsch B, Galler A, Grasemann C, Borkenstein M, Denzer C, et al. Estimated glomerular filtration rates calculated by new and old equations in children and adolescents with type 1 diabetes—What to do with the results? Front Endocrinol. 2020;21(11):52. CrossRef
24.
go back to reference Manns B, Hemmelgarn B, Tonelli M, Au F, Chiasson TC, Dong J, et al. Population-based screening for chronic kidney disease: a cost-effectiveness study. BMJ. 2010;341:c5869. Nov 8;.CrossRefPubMedPubMedCentral Manns B, Hemmelgarn B, Tonelli M, Au F, Chiasson TC, Dong J, et al. Population-based screening for chronic kidney disease: a cost-effectiveness study. BMJ. 2010;341:c5869. Nov 8;.CrossRefPubMedPubMedCentral
25.
go back to reference McGovern AP, Rusholme B, Jones S, van Vlymen JN, Liyanage H, Gallagher H, et al. Association of chronic kidney disease (CKD) and failure to monitor renal function with adverse outcomes in people with diabetes: a primary care cohort study. BMC Nephrol. 2013;14(1):198. CrossRefPubMedPubMedCentral McGovern AP, Rusholme B, Jones S, van Vlymen JN, Liyanage H, Gallagher H, et al. Association of chronic kidney disease (CKD) and failure to monitor renal function with adverse outcomes in people with diabetes: a primary care cohort study. BMC Nephrol. 2013;14(1):198. CrossRefPubMedPubMedCentral
26.
go back to reference Seidell JC, Flegal KM. Assessing obesity: classification and epidemiology. Br Med Bull. 1997;53(2):238–52. CrossRefPubMed Seidell JC, Flegal KM. Assessing obesity: classification and epidemiology. Br Med Bull. 1997;53(2):238–52. CrossRefPubMed
27.
go back to reference Guerra RS, Amaral TF, Marques EA, Mota J, Restivo MT. Anatomical location for waist circumference measurement in older adults: a preliminary study. Nutr Hosp. 2012;27(5):1554–61. Guerra RS, Amaral TF, Marques EA, Mota J, Restivo MT. Anatomical location for waist circumference measurement in older adults: a preliminary study. Nutr Hosp. 2012;27(5):1554–61.
28.
go back to reference Consultation WHO. Waist circumference and waist-hip ratio. Report of a WHO Expert Consultation. Geneva: World Health Organization; 2008. pp. 8–11. Consultation WHO. Waist circumference and waist-hip ratio. Report of a WHO Expert Consultation. Geneva: World Health Organization; 2008. pp. 8–11.
29.
go back to reference Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Himmelfarb CD, et al. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA guideline for the prevention, detection, evaluation, and management of high blood pressure in adults: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol. 2018;71(19):e127-248. https://doi.org/10.1016/j.jacc.2017.11.006. CrossRefPubMed Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Himmelfarb CD, et al. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA guideline for the prevention, detection, evaluation, and management of high blood pressure in adults: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol. 2018;71(19):e127-248. https://​doi.​org/​10.​1016/​j.​jacc.​2017.​11.​006. CrossRefPubMed
30.
go back to reference Afghahi H, Cederholm J, Eliasson B, Zethelius B, Gudbjrnsdottir S, Hadimeri H, et al. Risk factors for the development of albuminuria and renal impairment in type 2 diabetes—the Swedish National Diabetes Register (NDR). Nephrol Dial Transplant. 2011;26(4):1236–43. CrossRefPubMed Afghahi H, Cederholm J, Eliasson B, Zethelius B, Gudbjrnsdottir S, Hadimeri H, et al. Risk factors for the development of albuminuria and renal impairment in type 2 diabetes—the Swedish National Diabetes Register (NDR). Nephrol Dial Transplant. 2011;26(4):1236–43. CrossRefPubMed
31.
go back to reference Kassahun T, Eshetie T, Gesesew H. Factors associated with glycemic control among adult patients with type 2 diabetes mellitus: A cross-sectional survey in Ethiopia. BMC Res Notes. 2016;9(1):1–6.CrossRef Kassahun T, Eshetie T, Gesesew H. Factors associated with glycemic control among adult patients with type 2 diabetes mellitus: A cross-sectional survey in Ethiopia. BMC Res Notes. 2016;9(1):1–6.CrossRef
33.
go back to reference Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D. A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Ann Intern Med. 1999;130(6):461–70. CrossRefPubMed Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D. A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Ann Intern Med. 1999;130(6):461–70. CrossRefPubMed
34.
go back to reference Cockcroft DW, Gault MH. Prediction of creatinine clearance from serum creatinine. Nephron. 1976;16(1):31–41.CrossRefPubMed Cockcroft DW, Gault MH. Prediction of creatinine clearance from serum creatinine. Nephron. 1976;16(1):31–41.CrossRefPubMed
35.
go back to reference Levey AS, Stevens LA, Frcp C, Schmid CH, Zhang YL, Iii AFC, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009;150(9):604–12. CrossRefPubMedPubMedCentral Levey AS, Stevens LA, Frcp C, Schmid CH, Zhang YL, Iii AFC, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009;150(9):604–12. CrossRefPubMedPubMedCentral
36.
go back to reference Thomas MC, Weekes AJ, Broadley OJ, Cooper ME, Mathew TH. The burden of chronic kidney disease in Australian patients with type 2 diabetes (the NEFRON study). Med J Aust. 2006;185(3):140–4. CrossRefPubMed Thomas MC, Weekes AJ, Broadley OJ, Cooper ME, Mathew TH. The burden of chronic kidney disease in Australian patients with type 2 diabetes (the NEFRON study). Med J Aust. 2006;185(3):140–4. CrossRefPubMed
38.
go back to reference Low SK, Sum CF, Yeoh LY, Tavintharan S, Ng XW, Lee SB, et al. Prevalence of chronic kidney disease in adults with type 2 diabetes mellitus. Ann Acad Med Singap. 2015;44(5):164–71. PubMed Low SK, Sum CF, Yeoh LY, Tavintharan S, Ng XW, Lee SB, et al. Prevalence of chronic kidney disease in adults with type 2 diabetes mellitus. Ann Acad Med Singap. 2015;44(5):164–71. PubMed
39.
go back to reference Van der Meer V, Wielders HP, Grootendorst DC, de Kanter JS, Sijpkens YW, Assendelft WJ, et al. Chronic kidney disease in patients with diabetes mellitus type 2 or hypertension in general practice. Br J Gen Pract. 2010;60(581):884–90. CrossRefPubMedPubMedCentral Van der Meer V, Wielders HP, Grootendorst DC, de Kanter JS, Sijpkens YW, Assendelft WJ, et al. Chronic kidney disease in patients with diabetes mellitus type 2 or hypertension in general practice. Br J Gen Pract. 2010;60(581):884–90. CrossRefPubMedPubMedCentral
41.
go back to reference Ulasi II, Ijoma CK, Onodugo OD, Arodiwe EB, Ifebunandu NA, Okoye JU. Towards prevention of chronic kidney disease in Nigeria: a community-based study in Southeast Nigeria. Int Soc Nephrol. 2013;3(2):195–201. Ulasi II, Ijoma CK, Onodugo OD, Arodiwe EB, Ifebunandu NA, Okoye JU. Towards prevention of chronic kidney disease in Nigeria: a community-based study in Southeast Nigeria. Int Soc Nephrol. 2013;3(2):195–201.
42.
go back to reference Mwenda V, Githuku J, Gathecha G, Wambugu BM, Roka ZG, Ong’or WO. Prevalence and factors associated with chronic kidney disease among medical inpatients at the Kenyatta National Hospital, Kenya,. A cross-sectional study. Pan Afr Med J. 2018;2019:33. Mwenda V, Githuku J, Gathecha G, Wambugu BM, Roka ZG, Ong’or WO. Prevalence and factors associated with chronic kidney disease among medical inpatients at the Kenyatta National Hospital, Kenya,. A cross-sectional study. Pan Afr Med J. 2018;2019:33.
43.
go back to reference Rahim MA, Mitra P, Haque HF, Samdani TS, Zaman S, Uddin KN. Prevalence of chronic kidney disease stages 3–5 among patients with type 2 diabetes mellitus in Bangladesh. IMC J Med Sci. 2017;11(1):19–24. CrossRef Rahim MA, Mitra P, Haque HF, Samdani TS, Zaman S, Uddin KN. Prevalence of chronic kidney disease stages 3–5 among patients with type 2 diabetes mellitus in Bangladesh. IMC J Med Sci. 2017;11(1):19–24. CrossRef
44.
go back to reference Janmohamed MN, Kalluvya SE, Mueller A, Kabangila R, Smart LR, Downs JA, et al. Prevalence of chronic kidney disease in diabetic adult out-patients in Tanzania. BMC Nephrol. 2013;14(1):183. CrossRefPubMedPubMedCentral Janmohamed MN, Kalluvya SE, Mueller A, Kabangila R, Smart LR, Downs JA, et al. Prevalence of chronic kidney disease in diabetic adult out-patients in Tanzania. BMC Nephrol. 2013;14(1):183. CrossRefPubMedPubMedCentral
45.
go back to reference Nair S, Mishra V, Hayden K, Lisboa PJ, Pandya B, Vinjamuri S, et al. The four-variable modification of diet in renal disease formula underestimates glomerular filtration rate in obese type 2 diabetic individuals with chronic kidney disease. Diabetologia. 2011;54(6):1304–7. CrossRefPubMed Nair S, Mishra V, Hayden K, Lisboa PJ, Pandya B, Vinjamuri S, et al. The four-variable modification of diet in renal disease formula underestimates glomerular filtration rate in obese type 2 diabetic individuals with chronic kidney disease. Diabetologia. 2011;54(6):1304–7. CrossRefPubMed
47.
go back to reference Thomas D, Zachariah S, Elamin AE, Hashim AL. Limitations of serum creatinine as a marker of renal function. Sch Acad J Pharm. 2017;6:168–70. Thomas D, Zachariah S, Elamin AE, Hashim AL. Limitations of serum creatinine as a marker of renal function. Sch Acad J Pharm. 2017;6:168–70.
49.
go back to reference Middleton RJ, Foley RN, Hegarty J, Cheung CM, Mcelduff P, Gibson JM, et al. The unrecognized prevalence of chronic kidney disease in diabetes. Nephrol Dial Transplant. 2006;21(1):88–92. CrossRefPubMed Middleton RJ, Foley RN, Hegarty J, Cheung CM, Mcelduff P, Gibson JM, et al. The unrecognized prevalence of chronic kidney disease in diabetes. Nephrol Dial Transplant. 2006;21(1):88–92. CrossRefPubMed
50.
go back to reference Goderis G, Van Pottelbergh G, Truyers C, Van Casteren V, De Clercq E, Van Den Broeke C, et al. Long-term evolution of renal function in patients with type 2 diabetes mellitus: a registry-based retrospective cohort study. BMJ Open. 2013;3(12):e004029. CrossRefPubMedPubMedCentral Goderis G, Van Pottelbergh G, Truyers C, Van Casteren V, De Clercq E, Van Den Broeke C, et al. Long-term evolution of renal function in patients with type 2 diabetes mellitus: a registry-based retrospective cohort study. BMJ Open. 2013;3(12):e004029. CrossRefPubMedPubMedCentral
51.
go back to reference Glassock RJ, Winearls C. Ageing and the glomerular filtration rate: truths and consequences. Trans Am Clin Climatol Assoc. 2009;120:419–28. PubMedPubMedCentral Glassock RJ, Winearls C. Ageing and the glomerular filtration rate: truths and consequences. Trans Am Clin Climatol Assoc. 2009;120:419–28. PubMedPubMedCentral
52.
go back to reference Eriksen BO, Tomtum J, Ingebretsen OC. Predictors of declining glomerular filtration rate in a population-based chronic kidney disease cohort. Nephron Clin Pract. 2010;115(1):c41-50. CrossRefPubMed Eriksen BO, Tomtum J, Ingebretsen OC. Predictors of declining glomerular filtration rate in a population-based chronic kidney disease cohort. Nephron Clin Pract. 2010;115(1):c41-50. CrossRefPubMed
53.
go back to reference Chappell DC, Varner SE, Nerem RM, Medford RM, Alexander RW. Oscillatory shear stress stimulates adhesion molecule expression in cultured human endothelium. Circ Res. 1998;82(5):532–9. CrossRefPubMed Chappell DC, Varner SE, Nerem RM, Medford RM, Alexander RW. Oscillatory shear stress stimulates adhesion molecule expression in cultured human endothelium. Circ Res. 1998;82(5):532–9. CrossRefPubMed
55.
go back to reference Kobayashi H, Tokudome G, Hara Y, Sugano N, Endo S, Suetsugu Y, Kuriyama S, Hosoya T. Insulin resistance is a risk factor for the progression of chronic kidney disease. Clin Nephrol. 2009;71(6):643–51. CrossRefPubMed Kobayashi H, Tokudome G, Hara Y, Sugano N, Endo S, Suetsugu Y, Kuriyama S, Hosoya T. Insulin resistance is a risk factor for the progression of chronic kidney disease. Clin Nephrol. 2009;71(6):643–51. CrossRefPubMed
56.
go back to reference Persson F, Rossing P, Hovind P, Stehouwer CDA, Schalkwijk CG, Tarnow L, et al. Endothelial dysfunction and inflammation predict the development of diabetic nephropathy in the Irbesartan in patients with type 2 diabetes and microalbuminuria (IRMA 2) study. Scand J Clin Lab Investig. 2008;68(8):731–8. CrossRef Persson F, Rossing P, Hovind P, Stehouwer CDA, Schalkwijk CG, Tarnow L, et al. Endothelial dysfunction and inflammation predict the development of diabetic nephropathy in the Irbesartan in patients with type 2 diabetes and microalbuminuria (IRMA 2) study. Scand J Clin Lab Investig. 2008;68(8):731–8. CrossRef
Metadata
Title
Assessment of renal impairment using estimated glomerular filtration rate among type 2 diabetes mellitus patients in North-East Ethiopia: a cross-sectional study
Author
Mitku Mammo Taderegew
Publication date
01-12-2020
Publisher
Springer International Publishing
Published in
Journal of Diabetes & Metabolic Disorders / Issue 2/2020
Electronic ISSN: 2251-6581
DOI
https://doi.org/10.1007/s40200-020-00680-4

Other articles of this Issue 2/2020

Journal of Diabetes & Metabolic Disorders 2/2020 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine

Highlights from the ACC 2024 Congress

Year in Review: Pediatric cardiology

Watch Dr. Anne Marie Valente present the last year's highlights in pediatric and congenital heart disease in the official ACC.24 Year in Review session.

Year in Review: Pulmonary vascular disease

The last year's highlights in pulmonary vascular disease are presented by Dr. Jane Leopold in this official video from ACC.24.

Year in Review: Valvular heart disease

Watch Prof. William Zoghbi present the last year's highlights in valvular heart disease from the official ACC.24 Year in Review session.

Year in Review: Heart failure and cardiomyopathies

Watch this official video from ACC.24. Dr. Biykem Bozkurt discusses last year's major advances in heart failure and cardiomyopathies.