Global Longitudinal Strain Is Associated with Mortality in Patients with Multiple Myeloma.
Zhu CuiFrancesco CastagnaWaqas HanifSamuel J AppleLili ZhangJames M TaurasIra BraunschweigGurbakhash N M N KaurMurali JanakiramYanhua WangYanan FangJuan Carlos DíazCarolina HoyosJorge E MarínPatricia A PellikkaJorge E RomeroMario J GarciaAmit K VermaNishi ShahLeandro SlipczukPublished in: Journal of clinical medicine (2023)
Patients with multiple myeloma (MM) are at a high risk for developing cardiovascular complications. Global longitudinal strain (GLS) can detect early functional impairment before structural abnormalities develop. It remains unknown if reduced GLS is associated with reduced survival in patients with MM. We conducted a retrospective cohort analysis of patients diagnosed with MM between 1 January 2000 and 31 December 2017 at our institution. Patients with a 2D transthoracic echocardiogram completed within 1 year of MM diagnosis, left ventricular ejection fraction (LVEF) greater than 40%, and no history of myocardial infarction prior to MM diagnosis were included. GLS was measured using an artificial-intelligence-powered software (EchoGo Core), with reduced GLS defined as an absolute value of <18%. The primary outcome of interest was overall survival since myeloma diagnosis. Our cohort included 242 patients with a median follow up of 4.28 years. Fifty-two (21.5%) patients had reduced average GLS. Patients with reduced GLS were more likely to have an IVSd ≥ 1.2cm, E/E' > 9.6, LVEF/GLS > 4.1, higher LV mass index, and low-voltage ECG. A Total of 126 (52.1%) deaths occurred during follow-up. Overall survival was lower among patients with reduced GLS (adjusted HR: 1.81, CI: 1.07-3.05).
Keyphrases
- type diabetes
- ejection fraction
- multiple myeloma
- artificial intelligence
- left ventricular
- aortic stenosis
- cardiovascular disease
- end stage renal disease
- machine learning
- deep learning
- newly diagnosed
- heart failure
- big data
- peritoneal dialysis
- heart rate variability
- prognostic factors
- acute myocardial infarction
- aortic valve
- acute coronary syndrome
- data analysis
- patient reported