Alberto Ranieri De Caterina

Dr. Alberto Ranieri De Caterina


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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11 October 2024 in Journal of Clinical Medicine
Verified
Journal Article
Open access
PDF file
Giancarlo TrimarchiGiancarlo Trimarchi
Giancarlo Trimarchi
Fausto PizzinoFausto Pizzino
Fausto Pizzino
ALAlessio Lilli
Alessio Lilli
ACAlberto Ranieri De Caterina
Alberto Ranieri De Caterina
AEAugusto esposito
Augusto esposito
Umberto ParadossiUmberto Paradossi
Umberto Paradossi
Background: The advanced lung cancer inflammation index (ALI) is an independent prognostic biomarker used to assess inflammation and nutritional status in various cancers, heart failure, and acute coronary syndromes. This study investigates the prognostic significance of ALI in patients experiencing ST-elevation myocardial infarction (STEMI) treated with primary percutaneous coronary intervention (pPCI), comparing its predictive abilities with the established Neutrophil-Lymphocyte Ratio (NLR). Methods: We conducted a retrospective analysis of 1171 patients from the Matrix Registry, encompassing demographic and clinical data for STEMI cases treated with pPCI, and ALI was determined using the formula [serum albumin (g/dL) × body mass index (kg/m2)]/NLR at the time of hospital admission. The primary outcome was all-cause mortality. Results: Of the 1171 patients, 86 died during the follow-up period. Univariate analysis identified age, female gender, smoking, hypertension, diabetes, prior myocardial infarction (PMI), lower left ventricular ejection fraction (LVEF), and reduced ALI as factors associated with mortality. Multivariate analysis confirmed age (HR: 1.1, 95% CI: 1.05–1.11, p < 0.001) and PMI (HR: 2.4, 95% CI: 1.4–4.3, p = 0.001) as prominent independent predictors, alongside ALI (HR: 0.95, 95% CI: 0.92–0.97, p < 0.001) and LVEF (HR: 0.98, 95% CI: 0.97–0.99, p = 0.04). An ALI cut-off of ≤10 indicated a higher mortality risk (HR: 2.3, 95% CI: 1.5–3.7, p < 0.001). The area under the curve for ALI (0.732) surpassed that for NLR (0.685), demonstrating ALI’s superior predictive capability. Conclusions: ALI is an independent prognostic factor for all-cause mortality in STEMI patients undergoing pPCI, showing greater discriminatory power than NLR, particularly in patients with ALI values ≤ 10, who face a 2.3-fold higher mortality risk.

1 May 2019 in JACC: Cardiovascular Interventions
Verified
Journal Article
Closed access
Antonio RizzaAntonio Rizza
Antonio Rizza
ACAlberto Ranieri De Caterina
Alberto Ranieri De Caterina
MMMichele Murzi
Michele Murzi
PFPier Andrea Farneti
Pier Andrea Farneti
CPCataldo Palmieri
Cataldo Palmieri
Sergio BertiSergio Berti
Sergio Berti

23 July 2026 in European Heart Journal
Verified
Journal Article
Open access
Marco De CarloMarco De Carlo
Marco De Carlo
MMMarco Andrea Malanima
Marco Andrea Malanima
LBLaura Baglietto
Laura Baglietto
LBLorenzo Bazan
Lorenzo Bazan
Sergio BertiSergio Berti
Sergio Berti
Raffaele De CaterinaRaffaele De Caterina
Raffaele De Caterina
Background and Aims: A simple diagnostic method able to reliably exclude left main (LM) coronary artery disease (CAD) or LMCAD-equivalent would expand implementation of an initial non-invasive strategy in patients with chronic coronary syndrome (CCS). This study assessed the diagnostic utility of an approach using clinical and ECG stress testing (EST) variables in excluding LMCAD/LMCAD-equivalent in CCS patients. Methods: In a multicentre case-control study, CCS patients undergoing invasive coronary angiography (CAG) after a maximal EST were evaluated. Cases were patients with angiographic ≥ 50% LM stenosis or ≥70% stenosis of both proximal left anterior descending and proximal circumflex arteries, matched with similar patients without them (controls) in a 1:3 ratio. A risk model developed through logistic regression was internally and externally validated. Results: Three hundred and thirty-five cases were matched with 797 controls. The model area under the curve (AUC) was .78. Assuming LMCAD prevalence of 5% and a misclassification cost ratio of 1:100 (ratio of cost of performing CAG in a control to cost of not performing CAG in a case), negative predictive value was 98.2%. Thus, CAG could be safely avoided in 41% of patients, missing one LMCAD/LMCAD-equivalent diagnosis for every 58 CAGs safely spared in patients without them. Conclusions: Among CCS patients, LMCAD/LMCAD-equivalent can be excluded with high negative predictive value through a model based on clinical and EST parameters, allowing initial non-invasive management of most patients able to exercise. This approach is potentially useful particularly in communities where access to computed tomography coronary angiography is limited.

25 November 2020 in Interactive CardioVascular and Thoracic Surgery
Verified
Journal Article
Closed access
ARAntonio Rizza
Antonio Rizza
ACAlberto Ranieri De Caterina
Alberto Ranieri De Caterina
CPCataldo Palmieri
Cataldo Palmieri
SBSergio Berti
Sergio Berti
Type-B aortic dissection in a patient affected by Takayasu disease is a rarely described condition and its management can be challenging. A 47-year-old woman with Takayasu aortitis and previous aortic valve and ascending aorta replacement was admitted to hospital for type-B aortic dissection. The recent instabilization of aortic disease, the persistence of episodes of transient chest pain and the largest size of the aneurismatic tract of thoracic descending aorta rendered an invasive approach mandatory. Since the patient presented a complete bilateral occlusion of the subclavian artery just after the origin of the vertebral artery and a subcritical, smooth, bilateral stenosis of the common carotid artery, a custom-made endograft with left subclavian artery branch was successfully positioned, thus allowing the preservation of antegrade left vertebral circulation. This is the first case reporting an entirely endovascular exclusion of type-B dissection in a patient affected by Takayasu aortitis using a custom-made endograft with a subclavian branch allowing the preservation of the antegrade flow to left vertebral artery.

5 November 2026 in European Heart Journal
Verified
Journal Article
Open access
ABAngela Buonpane
Angela Buonpane
ACAlberto Ranieri De Caterina
Alberto Ranieri De Caterina
IPitalo porto
italo porto
FCFilippo Crea
Filippo Crea
RVRocco Vergallo
Rocco Vergallo
Atherosclerotic plaque healing is a dynamic biological mechanism that occurrs after plaque disruption and represents an endogenous reparative response within the atherosclerotic lesion. This process unfolds through three partially overlapping phases: endogenous thrombus lysis, granulation tissue formation, and re-endothelialization. Through the coordinated interaction of circulating cells, vascular wall components, and soluble mediators, plaque healing promotes fibrous repair and structural stabilization of the disrupted plaque. For many years, plaque healing remained primarily a histopathological observation described in post-mortem studies. The advent of high-resolution intracoronary imaging, particularly optical coherence tomography, has enabled in vivo visualization of the characteristic layered morphology of healed plaques, providing direct clinical confirmation of these early pathological findings. These observations have significantly improved our understanding of the clinical significance of plaque healing. Healed plaques are more frequently observed in patients with chronic coronary syndromes, supporting the concept that healing contributes to plaque stabilization. At the same time, recurrent cycles of plaque disruption followed by repair may lead to progressive luminal narrowing, thereby contributing to the long-term progression of coronary atherosclerosis. This review provided an updated overview of the clinical significance and implications of healed plaques in coronary artery disease, the mechanisms underlying plaque healing, and examines emerging intracoronary and non-invasive imaging modalities that allow their in vivo identification.