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Global myocardial work efficiency provides incremental prognostic value in STEMI patients undergoing PCI Cover

Global myocardial work efficiency provides incremental prognostic value in STEMI patients undergoing PCI

Open Access
|Feb 2026

Figures & Tables

Figure 1

Myocardial work analysis in a patient with acute anterior myocardial infarction, showing reduced myocardial work indices (GWI, GCW, GWE), elevated GWW and impairment of GLS. Abbreviations: GLS, global longitudinal strain; GWI, global work index; GCW, global constructive work; GWE, global work efficiency; BP, blood pressure.
Myocardial work analysis in a patient with acute anterior myocardial infarction, showing reduced myocardial work indices (GWI, GCW, GWE), elevated GWW and impairment of GLS. Abbreviations: GLS, global longitudinal strain; GWI, global work index; GCW, global constructive work; GWE, global work efficiency; BP, blood pressure.

Figure 2

Incremental prognostic value of GWE for MAE. The bar chart shows –2 log likelihood for three sequential Cox models: the baseline clinical model (age, Killip class and eGFR), the model adding LVEF, and the model further including GWE. Data labels indicate the Akaike information criterion for each model. Addition of LVEF resulted in a minimal and non-significant improvement in model fit (likelihood ratio X2= 0.03, df =1, P = 0.85). Further inclusion of GWE produced a substantial reduction in –2LL, significantly improving model fit (likelihood ratio X2 = 4.90, df = 1, p = 0.02). GWE, global work efficiency; –2LL, –2 log likelihood; LR, likelihood ratio; eGFR, estimated glomerullar filtration rate; LVEF, left ventricular ejection fraction; AIC, akaike information criterion.
Incremental prognostic value of GWE for MAE. The bar chart shows –2 log likelihood for three sequential Cox models: the baseline clinical model (age, Killip class and eGFR), the model adding LVEF, and the model further including GWE. Data labels indicate the Akaike information criterion for each model. Addition of LVEF resulted in a minimal and non-significant improvement in model fit (likelihood ratio X2= 0.03, df =1, P = 0.85). Further inclusion of GWE produced a substantial reduction in –2LL, significantly improving model fit (likelihood ratio X2 = 4.90, df = 1, p = 0.02). GWE, global work efficiency; –2LL, –2 log likelihood; LR, likelihood ratio; eGFR, estimated glomerullar filtration rate; LVEF, left ventricular ejection fraction; AIC, akaike information criterion.

Transthoracic echocardiography results_

Echocardiographic parametersAll (n = 215)No events (n = 175)MAE (n = 40)P value
LVEDV, ml107 ± 26108 ± 27113 ± 300.276
LVESV, ml65 (45–75)62 (52–73)60 (45–74)0.568
LA diameter, mm40 ± 5.539 ± 4.940 ± 4.70.827
LAVi, mL/m255.78 ± 19.8629.55 ± 9.8929.94 ± 10.100.785
RV diameter, mm26 ± 3.025 ± 3.426 ± 3.90.212
PASP, mmHg22 (21–31)21 (21–28)23 (18–30)0.324
TAPSE, mm20 ± 2.826 ± 1.720 ± 3.80.466
IVST, cm1.17 ± 0.151.20 ± 0.191.13 ± 0.150.370
PWT, cm1.12 ± 0.121.14 ± 0.151.11 ± 0.170.279
AV Pmax, m/s4.8 (4.0–7.0)5.2 (4.0–7.0)5.2 (4.0–6.1)0.236
E wave, m/s0.64 ± 0.200.63 ± 0.190.64 ± 0.180.742
A wave, m/s0.78 ± 0.180.76 ± 0.170.73 ± 0.190.467
Mean E’, m/s0.06 ± 0.010.06 ± 0.010.06 ± 0.010.786
E/E’ ratio10.57 (8.30–12.57)9.33 (7.69–12.15)10.61 (8.31–15.30)0.633
Mean S’, m/s0.07 ± 0.010.07 ± 0.010.07 ± 0.010.125
LVEF, %41 ± 643 ± 642 ± 60.708
GLS, %-12.21 ± 3.51-12.77 ± 3.3-11.75 ± 3.440.081
MD, ms67.60 (54.40–83.33)67.80 (54.06–83.33)66.95 (51.25–83.57)0.123
GWI, mmHg%1105 ± 4791210 ± 4331077 ± 4740.086
GCW, mmHg%1293±4931392 ± 4371258 ± 4480.084
GWW, mmHg%139 (95–187)147 (90–187)126 (96–200)0.355
GWE, %86 ± 886 ± 783 ± 80.022

Cox regression analysis to evaluate the risk of major adverse events during follow-up_

ParameterUnit interpretationPHR1Univariable 95% CI2HRMultivariable 95% CIP
Ageper 1-year increase1.0100.982–1.0380.4861.0250.995–1.0570.101
SexMale/female0.4930.193–1.2580.139
Peak CK-MB3per 100 U/L increase1.1591.039–1.2930.0081.1260.998–1.2700.054
Creatinineper 1 mg/dL increase1.4090.640–3.1060.395
HypertensionYes/No0.4990.265–0.9410.0320.4260.216–0.8420.014
LVEF4per 1% increase0.9850.940–1.0330.536
GLS5per 1% increase1.0960.996–1.2070.060
MD6per 10 ms increase1.1151.000–1.2420.050
GWI7per 100 mmHg% increase0.9220.854–0.9960.040
GCW8per 100 mmHg% increase0.9220.854–0.9960.039
GWW9per 10 mmHg% increase1.0180.992–1.0450.177
GWE10per 5% increase0.8110.688–0.9550.0120.8350.693–0.9850.033
LVEDV11per 1 mL increase1.0070.996–1.0180.188
LAVi 12per 1 mL/m2 increase1.0040.974–1.0350.792
E/E’13per 1-unit increase1.0240.959–1.0920.480

Baseline clinical characteristics of the study cohort, both overall and according to the occurrence of major adverse events_

VariableAll (n = 215)No events (n = 175)MAE (n= 40)P value
Age, years61 ± 1059 ± 1059 ± 130.791
Man, n (%)168 (78.1)133 (76)35 (87.5)0.122
Heart rate, bpm80 ± 1679 ± 1578 ± 160.714
SBP, mmHg139 ± 22143 ± 23140 ± 230.451
DBP, mmHg86 ± 1487 ± 1587 ± 160.801
BMI, kg/m227.10 (24.22–30.86)27.68 (24.5–31.8)27.23 (24.0–31.0)0.877
BSA, m21.91 (1.79–2.13)1.97 (1.82–2.16)1.96 (1.74–2.11)0.855
Peak CK-MB, U/L289.60 ± 211244.14 ± 189.66353.28 ± 291.450.004
Peak Troponin I, ng/L3,351 (314–21,506)1,866 (218–18,773)13,404 (1434–38,967)0.057
eGFR, ml/min/1.73 m274.08 ± 21.2279.89 ± 20.2380.28 ± 24.470.917
Total Cholesterol, mg/dL192 ±49192 ± 43190 ± 520.811
LDLc, mg/dL121 ± 49120 ± 32117 ± 390.632
Triglycerides, mg/dL108 (86–156)121 (93–168)123 (85–146)0.806
Hemoglobin, g/dL14.80 ± 1.6414.69 ± 1.4714.58 ± 1.530.656
Creatinine, mg/dL1.08 (0.92–1.30)1.09 (0.96–1.24)1.16 (0.85–1.28)0.669
Glycemia, mg/dL132 (113–176)132 (113–167)128 (110–160)0.186
Leucocytes, 103 / μL12.03 (10.24–14.95)12.03 (9.93–14.41)11.97 (9.78–15.94)0.448
Neutrophiles, 103 / μL9.56 (7.40–11.28)8.75 (7.11–11.28)9.19 (6.99–13.16)0.436
ESR, mm/h10 (6-20)10 (6-22)12 (10-29)0.667
Smoking, n (%)157 (73)129 (73.7)28 (70.0)0.633
Dyslipidemia, n (%)209 (97.2)171 (97.7)38 (95)0.347
Previous CAD, n (%)14 (6.5)12 (6.9)2 (5.0)1.000
Cardiac inheritance, n (%)14 (6.5)13 (7.4)1 (2.5)0.476
Diabetes, n (%)47 (21.9)39 (22.3)8 (20.0)0.752
Hypertension, n (%)154 (71.6)130 (74.3)24 (60.0)0.071
Killip Class I, n (%)177 (82.3)149 (85.1)28 (70)0.024
Killip Class II, n (%)30 (14)21 (12)9 (22.5)0.084
Killip Class III, n (%)3 (1.4)1 (0.6)2 (0.5)0.090
Killip Class IV, n (%)5 (2.3)4 (2.3)1 (2.5)1.000
CKD, n (%)22 (10.2)16 (9.1)6 (15.0)0.259
Thrombolysis, n (%)56 (26.0)45 (25.7)11 (27.5)0.816
Single-vessel disease, n (%)90 (41.9)81 (46.3)9 (22.5)0.006
Two-vessel disease, n (%)74 (34.4)59 (33.7)15 (37.5)0.649
Three-vessel disease, n (%)51 (23.7)35 (20.0)16 (40.0)0.007
Anterior STEMI, n (%)91 (42.3)75 (42.9)16 (40.0)0.741
Treatment at discharge
Aspirin, n (%)212 (98.6)173 (98.9)39 (97.5)0.462
P2Y12i, n (%)215 (100)
Betablocker, n (%)169 (78.6)140 (80.0)29 (72.5)0.297
Nitrate, n (%)92 (42.8)69 (39.4)23 (57.5)0.037
ACE inhibitor, n (%)125 (58.1)109 (62.3)16 (40.0)0.010
ARBs, n (%)1 (0.5)1 (0.6)0 (0.0)1.000
MRAs, n (%)170 (79.1)136 (77.7)34 (85.0)0.307
Furosemide, n (%)159 (74.0)123 (70.3)36 (90.0)0.010
SGLT2i, n (%)44 (20.5)37 (21.1)7 (17.5)0.606
ARNI, n (%)7 (3.3)5 (2.9)2 (5.0)0.617
Statins, n (%)215 (100)
DOI: https://doi.org/10.2478/rjc-2026-0004 | Journal eISSN: 2734-6382 | Journal ISSN: 1220-658X
Language: English
Published on: Feb 24, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2026 Alexandra-Cătălina Frişan, Raluca Coifan, Mihai-Andrei Lazăr, Oana Voinescu, Daniel-Miron Brie, Alexandru Tîrziu, Alexandru Silvius Pescariu, Dragoş Constantin Cozma, Silvia-Ana Luca, Cristian Mornoş, published by Romanian Society of Cardiology
This work is licensed under the Creative Commons Attribution 4.0 License.

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