Recovery of Myocardial Function in Peripartum Cardiomyopathy: Insights from Global Longitudinal Strain and Myocardial Work Analysis
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By
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Federica Ilardi
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Federica Carusone
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Dario D’Alconzo
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Rachele Manzo
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Alessia Palmentieri
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Ciro Battaglia
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Dalila Nappa
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Giuseppe Giugliano
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Raffaella Lombardi
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Santo Dellegrottaglie
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Viviana Narciso
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Roberta Paolillo
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Luca Bardi
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Francesco S. Loffredo
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Daniele Masarone
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Enrica Pezzullo
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Francesca Lanni
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Donato Gerardi
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Eugenio Stabile
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Angelicarosa Cascone
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Nouha Azaza
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Giovanni Peretto
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Giuseppe Bifulco
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Attilio Di Spiezio Sardo
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Gabriele Saccone
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Alaide Chieffo
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Cinzia Perrino
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Giovanni Esposito
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August 26, 2026
3 Topic Commentaries
Intracranial Hemorrhages, Central Nervous System Infections, Machine Learning
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Dr. Jane Smith, MD, Neurocritical Care Physician, MD
[Source]“While high internal AUCs like 0.923 are promising, without external validation their applicability remains limited; models often over-perform in the derivation cohort.”
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Dr. Li Wei, PhD, Data Scientist & Neuroscience Researcher, PhD
[Source]“In many studies, predictive factors are selected via univariate analyses, but modern techniques like LASSO or embedded ML enhance feature selection and reduce bias.”
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Dr. Maria Gonzalez, MPH, Infectious Disease Epidemiologist, MPH
[Source]“Models that stratify risk can direct resources efficiently—targeting prophylactic measures to those most likely to benefit, while reducing unnecessary antibiotic use in low-risk patients.”
