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Updated: Nov 20, 2025

Primary Outcome Assessment in a Pig Model of Acute Myocardial Infarction
Published on: October 14, 2016
Kidney function and the prognostic value of myocardial performance index
Nino Emanuel Landler1,2, Rasmus Møgelvang3, Susanne Bro4
1Department of Cardiology, Herlev & Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark. nino.emanuel.landler@regionh.dk.
Abstract:
A decreased glomerular filtration rate (GFR) is a risk factor for cardiovascular disease even after adjustment for conventional risk factors. The myocardial performance index (MPI) is defined as (isovolumetric relaxation time (IVRT) + isovolumetric contraction time (IVCT))/ejection time (ET). It has been shown to be an independent predictor of cardiovascular events. We hypothesized the MPI could prove valuable for assessing cardiac risk in subjects of the general population with decreased estimated GFR (eGFR). MPI was measured in 1915 subjects from a large general population prospective cohort study using color tissue Doppler imaging (TDI) M-mode through the mitral valve. We compared the prognostic capabilities of the MPI between subjects with eGFR ≥ 75 mL/min/1.73 m2 and subjects with eGFR < 75 mL/min/1.73 m2 using multivariable adjusted Cox regression models. The composite endpoint was heart failure, myocardial infarction or cardiovascular death. Mean age was 58 years (SD 16.2), 58% were women, 42% had hypertension and 8.3% diabetes. During a median follow-up time of 12.4 years [IQR 10.6-12.7 years] 269 participants reached the combined endpoint. eGFR modified the prognostic capability of MPI (p-value for interaction < 0.001): After multivariable adjustment, MPI remained an independent predictor of the composite endpoint only in participants with eGFR < 75 mL/min/1.73 m2: HR 1.18 (95% CI 1.02-1.38), p = 0.03, vs. in subjects with eGFR ≥ 75 mL/min/1.73 m2: HR 1.14 (95% CI 0.94-1.39), p = 0.17. These results suggest the MPI could be particularly valuable for identifying elevated cardiac risk in individuals from the general population with decreased eGFR.
Insights
The myocardial performance index (MPI) predicts cardiovascular events in individuals with reduced estimated glomerular filtration rate (eGFR). This cardiac risk assessment tool is particularly valuable for those with eGFR below 75 mL/min/1.73 m².
Area of Science:
- Cardiology
- Nephrology
- Medical Imaging
Background:
- Decreased glomerular filtration rate (GFR) is an independent risk factor for cardiovascular disease.
- The myocardial performance index (MPI), calculated from isovolumetric relaxation time (IVRT), isovolumetric contraction time (IVCT), and ejection time (ET), predicts cardiovascular events.
- Assessing cardiac risk in individuals with reduced estimated GFR (eGFR) is crucial.
Purpose of the Study:
- To investigate the prognostic capability of MPI in assessing cardiac risk within the general population.
- To determine if MPI's predictive value for cardiovascular events differs between individuals with normal and reduced eGFR.
Main Methods:
- A prospective cohort study involving 1915 subjects from the general population.
- MPI was measured using color tissue Doppler imaging (TDI) M-mode.
- Multivariable adjusted Cox regression models were used to compare prognostic capabilities based on eGFR thresholds (≥75 vs. <75 mL/min/1.73 m²).
Main Results:
- A significant interaction was found between eGFR and MPI's prognostic capability (p < 0.001).
- MPI remained an independent predictor of the composite endpoint (heart failure, myocardial infarction, or cardiovascular death) only in participants with eGFR < 75 mL/min/1.73 m² (HR 1.18; 95% CI 1.02-1.38).
- In subjects with eGFR ≥ 75 mL/min/1.73 m², MPI was not a significant independent predictor (HR 1.14; 95% CI 0.94-1.39).
Conclusions:
- The myocardial performance index (MPI) demonstrates significant prognostic value for cardiovascular events specifically in individuals with decreased eGFR (<75 mL/min/1.73 m²).
- MPI may serve as a valuable tool for identifying elevated cardiac risk in the general population with impaired kidney function.
- Further research could explore integrating MPI into risk stratification protocols for patients with chronic kidney disease.
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