A5021388501- COVID-19 Clinical Research Studies
- COVID-19 diagnosis using AI
- Sepsis Diagnosis and Treatment
- Salivary Gland Disorders and Functions
- Radiomics and Machine Learning in Medical Imaging
- Respiratory viral infections research
- Medical Imaging and Analysis
- Long-Term Effects of COVID-19
- SARS-CoV-2 and COVID-19 Research
- Biomarkers in Disease Mechanisms
- Machine Learning in Healthcare
- Acute Ischemic Stroke Management
- Artificial Intelligence in Healthcare and Education
- Hepatitis B Virus Studies
- Pneumonia and Respiratory Infections
- COVID-19 and healthcare impacts
- SARS-CoV-2 detection and testing
- Text Readability and Simplification
- Frailty in Older Adults
- Pancreatitis Pathology and Treatment
- Hip and Femur Fractures
- Respiratory Support and Mechanisms
- Healthcare Systems and Public Health
- Immune cells in cancer
- Peripheral Neuropathies and Disorders
IRCCS Humanitas Research Hospital
2020-2025
Humanitas University
2020-2025
Istituti di Ricovero e Cura a Carattere Scientifico
2020-2022
University of Campania "Luigi Vanvitelli"
2022
University of Rome Tor Vergata
2022
University of Pavia
2022
This study aimed to investigate the microbiological and clinical heterogeneity of community-onset bloodstream infections (BSIs) identify features support targeted empirical antibiotic therapy in Emergency Department (ED). Clinical data from 992 BSI cases (1,135 isolates) diagnosed within 24 h ED admission at IRCCS Humanitas Research Hospital, Milan, Italy (January 2015-June 2022), were analysed. Drug resistance was interpreted using EUCAST-2023. included age, sex, comorbidities (e.g.,...
Ursodeoxycholic acid (UDCA) was demonstrated to reduce susceptibility SARS-CoV-2 infection in vitro and improve course chronic liver diseases. However, real-life evidence is lacking. We analyzed the impact of UDCA on COVID-19 outcomes patients hospitalized a tertiary center. Between January 2020 2023, among 3847 consecutively for COVID19, 57 (=UDCA group) were taking UDCA. The control groups (n = 3790) did not differ concerning comorbidities including diabetes mellitus type 2 (15.8% vs....
The SARS-CoV-2 pandemic has overwhelmed the treatment capacity of health care systems during highest viral diffusion rate. Patients reaching emergency department had to be either hospitalized (inpatients) or discharged (outpatients). Still, decision was taken based on individual assessment actual clinical condition, without specific biomarkers predict future improvement deterioration, and patients often returned hospital for aggravation their condition. Here, we have developed a new combined...
Background and Objectives: Triage systems help provide the right care at time for patients presenting to emergency departments (EDs). are generally used subdivide into three five categories according system used, their performance must be carefully monitored ensure best patients. Materials Methods: We examined ED accesses in context of 4-level (4LT) 5-level triage (5LT), implemented from 1 January 2014 31 December 2020. This study assessed effects a 5LT on wait times under-triage (UT)...
Abstract As the elderly population expands, enhancing emergency department (ED) care by assessing frailty becomes increasingly vital. To address this, we developed a novel electronic Frailty Index (eFI) from ED health records, specifically designed to assess and predict hospitalization, in-hospital mortality, ICU admissions, 30-day readmissions. This retrospective, single-center study included patients 65 years old or older who presented of IRCCS Humanitas Research Hospital in Milan, Italy,...
BackgroundThere is a great deal of debate about the role cardiovascular comorbidities and chronic use antihypertensive agents (such as ACE-I ARBs) on mortality COVID-19 patients. Of note, ACE2 responsible for host cell entry virus.MethodsWe extracted data 575 consecutive patients with laboratory-confirmed SARS-CoV-2 infection admitted to Emergency Department (ED) Humanitas Center, between February 21 April 14, 2020.The aim study was evaluate treatment or ARBs other clinical predictors...
Background Early prognostic stratification of patients with sepsis is a difficult clinical challenge. Aim this study was to evaluate novel molecules in association parameters as predictors 90-days mortality admitted at Humanitas Research Hospital. Methods Plasma samples were collected from 178 patients, diagnosed based on Sepsis-3 criteria, admission the Emergency Department and after 5 days hospitalization. Levels pentraxin 3 (PTX3), soluble IL-1 type 2 receptor (sIL-1R2), panel pro-...
Identifying SARS-CoV-2 patients at higher risk of mortality is crucial in the management a pandemic. Artificial intelligence techniques allow one to analyze large amounts data find hidden patterns. We aimed develop and validate score admission for COVID-19 based on high-level machine learning.We conducted retrospective cohort study hospitalized adult between March December 2020. The primary outcome was in-hospital mortality. A learning approach vital parameters, laboratory values demographic...
Streptococcus pneumoniae urinary antigen (u-Ag) testing has recently gained attention in the early diagnosis of severe and critical acute respiratory syndrome coronavirus-2/pneumococcal co-infection. The aim this study is to assess effectiveness u-Ag coronavirus disease 2019 (COVID-19) patients, order whether pneumococcal co-infection associated with different mortality rate hospital stay these patients.Charts, protocols, mortality, hospitalization data a consecutive series COVID-19 patients...
The possible benefits of using semantic language models in the early diagnosis major ischemic stroke (MIS) based on artificial intelligence (AI) are still underestimated. present study strives to assay feasibility word2vec word embedding-based model decreasing risk false negatives during triage patients with suspected MIS emergency department (ED).The main ICD-9 codes related were used for 7-year retrospective data collection managed at ED a stroke. underwent "tokenization" and...
Short-term adverse events are common following the BNT162b2 vaccine for SARS-Cov-2 and have been possibly associated with IgG response. We aimed to determine incidence of reactions impact on Our study included 4156 health-care professionals who received two doses 21 days apart obtained 6113 online questionnaires inquiring about events. The serum response was tested in 2765 subjects 10 after second dose. Adverse events, most frequently a local reaction at site injection, were reported by 39%...
Background: Sepsis is one of the major causes in-hospital death, and frequent in patients presenting to emergency department (ED). Early identification high-risk septic critical. Machine learning (ML) techniques have been proposed for prognostication ED patients, but these models often lack pre-hospital data validation against early sepsis scores (such as qSOFA) critically ill (SOFA, APACHE II). Methods We conducted an electronic health record (EHR) study test whether interpretable scalable...
Polymorphonuclear cell influx into the interstitial and bronchoalveolar spaces is a cardinal feature of severe coronavirus disease 2019 (COVID-19), principally mediated by interleukin-8 (IL-8). We sought to determine whether reparixin, novel IL-8 pathway inhibitor, could reduce progression in patients hospitalized with COVID-19 pneumonia.In this Phase 3, randomized, double-blind, placebo-controlled, multicenter study, adult pneumonia were randomized 2:1 receive oral reparixin 1200 mg three...
Since December 2019, the world has been devastated by Coronavirus Disease 2019 (COVID-19) pandemic. Emergency Departments have experiencing situations of urgency where clinical experts, without long experience and mature means in fight against COVID-19, to rapidly decide most proper patient treatment. In this context, we introduce an artificially intelligent tool for effective efficient Computed Tomography (CT)-based risk assessment improve treatment care. paper, a data-driven approach built...
Background: Traumatic brain injury (TBI) in the elderly is a noteworthy pathology due to exponential increase population age, and effects of antiplatelet anticoagulation on patients’ outcomes are still matter dispute. The aim present study was evaluate impact various antithrombotic agents patients with mild TBI, focusing risk intracranial bleeding (ICH) length hospitalization (LOS). Methods: A retrospective analysis conducted, including diagnosis TBI admitted Emergency Department between...
The Lean method entails a set of standardized processes intending to optimize resources, reduce waste, and improve results. has been proposed as an operative model for the COVID-19 outbreak. Herein, we summarized data resulted from adoption in Emergency Department Lombardy region, Italian epicenter pandemic, critically appraise its effectiveness feasibility. algorithm was applied Humanitas Clinical Research Hospital, Milan, north Italy. At admission, patients underwent outdoor pre-triage...
Our aim was to investigate the impact of therapeutics with antiviral activity against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on mortality older adults affected by disease 2019 (COVID-19), taking into consideration time interval from symptoms onset drugs administration.Data 143 COVID-19 patients over 65 years age admitted Humanitas Clinical and Research Center Emergency Department (Milan, Italy) treated Lopinavir/ritonavir (LPV/r) or Darunavir/cobicistat (DVR/c)...
The region of Lombardy was the epicenter COVID-19 outbreak in Italy. Emergency Hospital 19 (EH19) built Milan metropolitan area during pandemic’s second wave as a facility Humanitas Clinical and Research Center (HCRC). present study aimed to assess whether implementation EH19 effective improving quality care patients compared with first one. demographics, mortality rate, in-hospital length stay (LOS) two groups were compared: group involved admitted at HCRC managed pandemic wave, while...
Abstract Introduction The possible benefits of using semantic language models in the early diagnosis major ischemic stroke (MIS) based on artificial intelligence (AI) are still underestimated.The present study strives to assay feasibility Word2Vec word embedding-based AI model decreasing risk false-negatives during triage patients with suspected MIS emergency department (ED). Methods main ICD-9 codes related were used for a 7-years retrospective data collection managed at ED stroke. Data...