Study finds monotonic relationship between systolic blood pressure and risk of CV outcomes in diabetes patients

Written By : Medha Baranwal |Medically Reviewed By : Dr. Kamal Kant Kohli Published On 2023-01-24T10:30:41+05:30 | Updated On 24 Jan 2023 3:12 PM IST

UK: In a recent study published in the journal Hypertension, researchers from the UK, using deep learning modeling, have found a monotonic relationship between systolic blood pressure (SBP) and the risk of cardiovascular (CV) outcomes in diabetes patients without evidence of a J-shaped relationship.

There is a controversy on whether the association between systolic blood pressure and cardiovascular disease (CVD) risk is monotonic or whether there is a nadir of optimal blood pressure. Kazem Rahimi from the University of Oxford in Oxford, UK, and colleagues investigated the association between systolic blood pressure and CV events in diabetes patients across the full spectrum of SBP.

For this purpose, the researchers identified a cohort of 49 000 patients with diabetes aged 50 to 90 years from linked electronic health records in the UK. A deep learning approach was used to analyze the associations between systolic blood pressure and cardiovascular outcomes (heart failure, ischemic heart disease, cardiovascular death, and stroke).

The authors reported the following findings:

· The authors observed 16 378 cardiovascular events over a median follow-up of 7.3 years.

· The relationship between systolic blood pressure and CV events followed a monotonic pattern; the group with the lowest baseline SBP of <120 mm Hg showed the lowest risk of CV events.

· In comparison to the reference group with the lowest systolic blood pressure of less than 120 mm Hg, the adjusted risk ratio for CVD was 1.03 for SBP between 120 and 129 mm Hg, 1.08 for SBP between 140 and 149 mm Hg, 1.05 for SBP between 130 and 139 mm Hg, 1.19 for SBP ≥160 mm Hg, and 1.12 for SBP between 150 and 159 mm Hg.

"We found a monotonic relationship between systolic blood pressure and risk of CV outcomes using deep learning modeling in diabetes patients without evidence of a J-shaped relationship," the authors concluded.

Reference:

Rao S, Li Y, Nazarzadeh M, Canoy D, Mamouei M, Hassaine A, Salimi-Khorshidi G, Rahimi K. Systolic Blood Pressure and Cardiovascular Risk in Patients With Diabetes: A Prospective Cohort Study. Hypertension. 2022 Dec 30. doi: 10.1161/HYPERTENSIONAHA.122.20489. Epub ahead of print. PMID: 36583386.

Hypertension journalblood pressurecardiovascular diseasesystolic blood pressurediabetesdeep learning model

Source : Hypertension journal

Medha Baranwal

MSc. Biotechnology

Medha Baranwal joined Medical Dialogues as an Editor in 2018 for Speciality Medical Dialogues. She covers several medical specialties including Cardiac Sciences, Dentistry, Diabetes and Endo, Diagnostics, ENT, Gastroenterology, Neurosciences, and Radiology. She has completed her Bachelors in Biomedical Sciences from DU and then pursued Masters in Biotechnology from Amity University. She has a working experience of 5 years in the field of medical research writing, scientific writing, content writing, and content management. She can be contacted at editorial@medicaldialogues.in. Contact no. 011-43720751

Dr. Kamal Kant Kohli

Dr Kamal Kant Kohli-MBBS, DTCD- a chest specialist with more than 30 years of practice and a flair for writing clinical articles, Dr Kamal Kant Kohli joined Medical Dialogues as a Chief Editor of Medical News. Besides writing articles, as an editor, he proofreads and verifies all the medical content published on Medical Dialogues including those coming from journals, studies,medical conferences,guidelines etc. Email: drkohli@medicaldialogues.in. Contact no. 011-43720751