Markedly raised CA 19-9 levels in an asymptomatic patient: the role of Helicobacter pylori infection.
2026Minerva gastroenterology
D'Agruma A, D'Agruma L, Piscitelli P, Parente P, Graziano P +5 more
PubMedAngelo D'Agruma
School of Internal Medicine Residency, Department of Medical and Surgical Sciences, University of Foggia, Foggia, Italy.
What does Angelo D'Agruma research?
Dr. D'Agruma studies how to predict severe health outcomes in patients, especially those suffering from sepsis—a life-threatening condition caused by infection. He utilizes machine learning algorithms, which are computer systems designed to learn from data, to identify patients at the highest risk of needing intensive care or facing death. In addition to sepsis, Dr. D'Agruma investigates complex abdominal conditions, exploring the role of infections like brucellosis and tuberculosis in diagnostic challenges. His multidisciplinary approach emphasizes teamwork among healthcare providers for better patient care.
Key findings
- In a study of 148 sepsis patients, 25% faced severe outcomes such as death or intensive care admission.
- The SOFA score (a measure of organ function) and alertness levels were key predictors of severe outcomes.
- Some predictive models achieved an accuracy of 0.978, indicating their high effectiveness in risk assessment.
- A case report highlighted the successful identification of brucellosis over cancer through collaborative diagnostics in a patient with abdominal symptoms, leading to timely surgical intervention.
Frequently asked questions
- Does Dr. D'Agruma study sepsis?
- Yes, he focuses on predicting outcomes for patients with sepsis and finding ways to identify those at higher risk.
- What treatments has Dr. D'Agruma researched?
- His research includes treatment plans for infections like brucellosis and procedures involving complex abdominal conditions.
- Is Dr. D'Agruma's work relevant to patients with abdominal pain?
- Absolutely, his research addresses diagnostic approaches for patients with abdominal pain due to conditions like infections.
Publications in plain English
Abdominal Lymphadenopathies: Lymphoma, Brucellosis or Tuberculosis? Multidisciplinary Approach-Case Report and Review of the Literature.
2023Medicina (Kaunas, Lithuania)
Mirijello A, Ritrovato N, D'Agruma A, de Matthaeis A, Pazienza L +10 more
Plain English
This study looked at a patient suffering from abdominal pain, fever, fatigue, and weight loss, who turned out to have an abdominal mass. Imaging tests and laboratory results pointed towards an infection rather than cancer, specifically linking it to brucellosis in a patient with latent tuberculosis. After a team of specialists discussed the findings, the patient had surgery to remove the mass, and with treatment, their symptoms improved.
Who this helps: This helps doctors by highlighting the importance of a collaborative approach for diagnosing complex abdominal issues.
Identifying Predictors Associated with Risk of Death or Admission to Intensive Care Unit in Internal Medicine Patients with Sepsis: A Comparison of Statistical Models and Machine Learning Algorithms.
2023Antibiotics (Basel, Switzerland)
Mirijello A, Fontana A, Greco AP, Tosoni A, D'Agruma A +5 more
Plain English
This study looked at how to predict which patients with sepsis are at a higher risk of dying or needing to be admitted to an intensive care unit. Researchers examined 148 patients and found that 25% faced severe outcomes. Key predictors included the SOFA score and alertness levels, with certain models showing high accuracy in predicting risk—some even achieving an accuracy rating of 0.978, indicating they were very effective.
Who this helps: This research benefits doctors and healthcare providers who care for patients with sepsis, helping them better identify those at risk.
Publication data sourced from PubMed . Plain-English summaries generated by AI. Not medical advice.