Internal and emergency medicine
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Randomized Controlled Trial
Real-time machine learning-assisted sepsis alert enhances the timeliness of antibiotic administration and diagnostic accuracy in emergency department patients with sepsis: a cluster-randomized trial.
Machine learning (ML) has been applied in sepsis recognition across different healthcare settings with outstanding diagnostic accuracy. However, the advantage of ML-assisted sepsis alert in expediting clinical decisions leading to enhanced quality for emergency department (ED) patients remains unclear. A cluster-randomized trial was conducted in a tertiary-care hospital. ⋯ The diagnostic performance of ML in prompt sepsis detection was superior to that of the rule-based system. Trial registration Thai Clinical Trials Registry TCTR20230120001. Registered 16 January 2023-Retrospectively registered, https://www.thaiclinicaltrials.org/show/TCTR20230120001 .
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Observational Study
Site and duration of abdominal pain discriminate symptomatic uncomplicated diverticular disease from previous diverticulitis patients.
Abdominal pain in patients with diverticular disease (DD) can be challenging in clinical practice. Patients with symptomatic uncomplicated diverticular disease (SUDD) and patients with a previous acute diverticulitis (PD) may share a similar clinical pattern, difficult to differentiate from irritable bowel syndrome (IBS). We used standardized questionnaires for DD (short and long lasting abdominal pain) and IBS (following Rome III Criteria) to assess clinical features of abdominal pain, in terms of presence, severity and length, in SUDD and PD patients. ⋯ SUDD and PD patients presented different pattern of abdominal pain (length, number of long lasting episodes, site and associated features), with a third reporting overlap with IBS. Further observational studies are needed to better characterize abdominal symptoms in DD patients, especially in those not fulfilling IBS criteria. Trial registration: The REMAD Registry is registered as an observational study in ClinicalTrial.gov (ID: NCT03325829).
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Hypoalbuminemia is common in heart failure (HF) patients; however, there are no data regarding the possible long-term prognostic role of serum albumin (SA) in the younger population with chronic HF without malnutrition. The aim of this study was to examine the long-term prognostic role of SA levels in predicting major adverse cardiac events (MACE) in middle-aged outpatients with chronic HF. ⋯ Patients with chronic HF that exhibits low SA levels show a higher risk of MACE, hHF and total mortality.
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This study aims to apply machine learning models to identify new biomarkers associated with the early diagnosis and prognosis of SARS-CoV-2 infection. Plasma and serum samples from COVID-19 patients (mild, moderate, and severe), patients with other pneumonia (but with negative COVID-19 RT-PCR), and healthy volunteers (control) from hospitals in four different countries (China, Spain, France, and Italy) were analyzed by GC-MS, LC-MS, and NMR. Machine learning models (PCA and PLS-DA) were developed to predict the diagnosis and prognosis of COVID-19 and identify biomarkers associated with these outcomes. ⋯ The PLS-DA model was able to predict the diagnosis and prognosis of COVID-19 around 95%. Additionally, our investigation pinpointed five novel potential biomarkers linked to the diagnosis and prognosis of COVID-19: N-Acetyl-4-O-acetylneuraminic acid, N-Acetyl-L-Alanine, N-Acetyltriptophan, palmitoylcarnitine, and glycerol 1-myristate. These biomarkers exhibited heightened levels in severe COVID-19 patients compared to those with mild COVID-19 or healthy volunteers.
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To determine whether young women who have experienced typical vasovagal syncope (tVVS) have altered autonomic response parameters, based on a battery of autonomic tests and maneuvers. Notably, previous studies including small cohorts and a partial list of tests yielded conflicting results. A total of 91 otherwise healthy women were included and divided according to those who had experienced tVVS (39 patients) or not (52 patients). ⋯ No significant differences were found between the two groups in any of the autonomic parameters evaluated. Autonomic responses in young women who experienced typical vasovagal syncope at baseline were indistinguishable from those who did not. Thus, using non-tilt test autonomic screening tests does not seem to provide diagnostic benefits, and may not be useful in predicting recurrence in this patient population.