Internal and emergency medicine
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The emerging role of colchicine in the treatment of cardiovascular diseases is a strong demand for a comprehensive understanding of its efficacy and safety. This meta-analysis and systematic review aimed to study the efficacy in the reduction of adverse cardiovascular outcomes (CO), and the risk of colchicine-related adverse events (CRAEs). Fourteen thousand and nine eighty three patients from 22 randomized controlled trials (RCTs) were included, 9 in patients with coronary artery disease-CAD, 9 in patients with pericarditis, 4 in patients with atrial fibrillation-AF or heart failure. ⋯ Other CRAEs (muscle-related, liver,hematologic,cutaneous, infections) were not increased by colchicine, as long as all-cause death (2.2% vs. 1.9%, RR 1.11, 95% CI 0.79-1.54) or non-cardiovascular death (1.5% vs. 1%, RR 1.43, 95% CI 0.93-2.19). Colchicine is efficacious and safe for the treatment of cardiovascular diseases. The risk of gastrointestinal CRAEs and drug discontinuation is not significant if colchicine is used at lower doses (0.5 mg daily) or for longer periods of time (> 6 months).
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Multicenter Study
Ischemic and bleeding risk by type 2 diabetes clusters in patients with acute coronary syndrome.
The risk of ischemic events carried by different clusters of type 2 diabetes mellitus (DM) in the setting of secondary prevention is not definite and the association between DM and bleeding complications is controversial. We explored these issues in the START-ANTIPLATELET, a multicenter Italian registry including acute coronary syndrome (ACS) patients. Study outcome was 1-year incidence of the net composite endpoint including major adverse cardiovascular events (MACE) or any bleeding and its individual components across different DM strata (no DM, DM with or without insulin). ⋯ Conversely, the increase in bleeding complications was limited to patients on insulin (Hazard Ratio 2.31, 95% CI 0.93-5.71 vs no DM; p = 0.0105 across DM strata). On top of aspirin, the rates of the net composite endpoint were similar with ticagrelor/prasugrel or clopidogrel irrespective of DM status (p for interaction 0.63). In conclusion, in ACS patients, type 2 DM enhances the risk of MACE regardless of the DM cluster, whereas the propensity to bleeding related to DM seems confined to insulin-treated patients.
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Observational Study
Putative invasive pulmonary aspergillosis within medical wards and intensive care units: a 4-year retrospective, observational, single-centre study.
Blot and colleagues have proposed putative invasive pulmonary aspergillosis (PIPA) definitions for troublesome diagnosis in suspected patients outside the classical criteria of immunosuppression. We retrospectively included in the study all admitted patients with an Aspergillus spp. positive culture within lower airway samples. Overall, Aspergillus spp. positivity in respiratory samples was 0.97 every 1000 hospital admissions (HA): 4.94 and 0.28/1000/HA, respectively, in intensive care units (ICUs) and medical wards (MW). 66.6% fulfilled PIPA criteria, and 33.4% were defined as colonized. 69.2% of PIPA diagnosis occurred in the ICU. ⋯ Overall mortality within 21 days was 50%: 54.2% in ICU, 36,8% in MW. Factors associated with death were length of hospitalization, influenza, pneumonia, liver transplant, AKI, ARDS, sepsis and septic shock. PIPA in the ICU had higher disease severity and needed more organ support than MW cases, despite that cases of PIPA in MW are emerging with trends difficult to demonstrate given the problematic diagnosis.
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Ultrasound-guided synovial tissue biopsy (USSB) may allow personalizing the treatment for patients with inflammatory arthritis. To this end, the quantification of tissue inflammation in synovial specimens can be crucial to adopt proper therapeutic strategies. This study aimed at investigating whether computer vision may be of aid in discriminating the grade of synovitis in patients undergoing USSB. ⋯ Cellularity in the synovial lining and sublining layers was the salient determinant of CNN prediction. This study provides a proof of concept that computer vision with transfer learning is suitable for scoring synovitis. Integrating CNN-based approach into real-life patient management may improve the workflow between rheumatologists and pathologists.
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The accurate prediction of likely discharges and estimates of length of stay (LOS) aid in effective hospital administration and help to prevent access block. Machine learning (ML) may be able to help with these tasks. For consecutive patients admitted under General Medicine at the Royal Adelaide Hospital over an 8-month period, daily ward round notes and relevant discrete data fields were collected from the electronic medical record. ⋯ The generation of an exact EDD remains inaccurate. This study has shown that repeated estimates of LOS using daily ward round notes and mixed-data inputs are effective in the prediction of general medicine discharges in the next 48 h. Further research may seek to prospectively and externally validate models for prediction of upcoming discharge, as well as combination human-ML approaches for generating EDDs.