Streptococcus pseudoporcinus bacteremia in a patient with skin and soft tissue infection. A case report and literature review.

Streptococcus pseudoporcinus is a beta-hemolytic Streptococcus species arranged in short chains, which was first described in 2006. In the last years, there have been several reports of human infections by this bacterium, with five skin and soft tissue infections identified. Herein, a case of S. pseudoporcinus skin and soft tissue infection in a patient, who also developed bacteremia and was successfully treated with intravenous antibiotics, is reported. A 67-year-old man with a history of diffuse large B-cell lymphoma presented to the emergency department because of fever, redness, swelling, and pain in the left lower limb. He was admitted to the medical ward, diagnosed with severe non-purulent skin and soft tissue infection, and treated empirically with intravenous piperacillin/tazobactam at 4.5 gr thrice daily and daptomycin at 10mg/kg once daily. Blood cultures were obtained before the initiation of the antibiotics and grew S. pseudoporcinus. Treatment was de-escalated to ceftriaxone at a dose of 2 gr once daily. He completed two weeks of intravenous antimicrobial treatment. S. pseudoporcinus is an emerging pathogen associated with skin and soft tissue infections, bacteremia, and other invasive, potentially life-threatening infections. Further investigation is warranted to clarify this microorganism's pathogenesis and biological significance.

Hydropneumothorax as a complication of necrotizing pneumonia.

Introduction: Hydropneumothorax with a bronchopleural fistula is an infrequent but severe complication of necrotizing pneumonia associated with high morbidity and mortality. Few cases in the adult population have been reported. Case report: This is a case of a 76-year-old male patient who developed pneumonia caused by Pseudomonas aeruginosa and Klebsiella pneumoniae complicated by hydropneumothorax. He was managed conservatively with chest tube placement but denied surgical management and eventually died despite initial improvement. Conclusions: Early recognition and appropriate management of pneumonia complications, such as hydropneumothorax, including thoracic surgeon interventions, are crucial as this complication can be fatal. Factors like the patient's overall status, preferences, and comorbidities may have a crucial effect on clinical decisions and outcomes.

Immunogenicity of SARS-CoV-2 BNT162b2 Vaccine in People with Diabetes: A Prospective Observational Study.

The mRNA-based BNT162b2 vaccine has demonstrated high efficacy against severe SARS-CoV-2. However, data regarding immune response in people with diabetes mellitus (DM) after vaccination with the BNT162b2 vaccine are limited. In this prospective observational study, we examined humoral immune response in participants with and without DM after vaccination with the BNT162b2 mRNA vaccine. A total of 174 participants (58 with and 116 without diabetes, matched for age) were included. Antibodies were measured 21 days after the first dose, 7−15 days after the second dose, and 70−75 days after the second and before the third dose of the vaccine. Antibodies were measured by an anti-SARS-CoV-2 receptor-binding domain IgG (Abs-RBD-IgG) assay by a chemiluminescent microparticle immune assay; values > 50 AU/mL are considered protective from severe disease. Almost 17% of participants with DM did not develop adequate humoral immune response to the BNT162b2 mRNA vaccine after the first dose; however, it was high and similar after the second dose in both participants with and without DM and remained so almost 2 months after the second dose of the vaccine. Geometric mean values of Abs-RBD-IgG were not significantly different between participants with and without DM during the study. At least two doses of the BNT162b2 vaccine are necessary to ensure adequate and sustainable immune response in people with DM.

The application of machine learning to imaging in hematological oncology: A scoping review.

Background: Here, we conducted a scoping review to (i) establish which machine learning (ML) methods have been applied to hematological malignancy imaging; (ii) establish how ML is being applied to hematological cancer radiology; and (iii) identify addressable research gaps. Methods: The review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Extension for Scoping Reviews guidelines. The inclusion criteria were (i) pediatric and adult patients with suspected or confirmed hematological malignancy undergoing imaging (population); (ii) any study using ML techniques to derive models using radiological images to apply to the clinical management of these patients (concept); and (iii) original research articles conducted in any setting globally (context). Quality Assessment of Diagnostic Accuracy Studies 2 criteria were used to assess diagnostic and segmentation studies, while the Newcastle-Ottawa scale was used to assess the quality of observational studies. Results: Of 53 eligible studies, 33 applied diverse ML techniques to diagnose hematological malignancies or to differentiate them from other diseases, especially discriminating gliomas from primary central nervous system lymphomas (n=18); 11 applied ML to segmentation tasks, while 9 applied ML to prognostication or predicting therapeutic responses, especially for diffuse large B-cell lymphoma. All studies reported discrimination statistics, but no study calculated calibration statistics. Every diagnostic/segmentation study had a high risk of bias due to their case-control design; many studies failed to provide adequate details of the reference standard; and only a few studies used independent validation. Conclusion: To deliver validated ML-based models to radiologists managing hematological malignancies, future studies should (i) adhere to standardized, high-quality reporting guidelines such as the Checklist for Artificial Intelligence in Medical Imaging; (ii) validate models in independent cohorts; (ii) standardize volume segmentation methods for segmentation tasks; (iv) establish comprehensive prospective studies that include different tumor grades, comparisons with radiologists, optimal imaging modalities, sequences, and planes; (v) include side-by-side comparisons of different methods; and (vi) include low- and middle-income countries in multicentric studies to enhance generalizability and reduce inequity.

COVID-19 and diabetes: What does the clinician need to know?

COVID-19 and diabetes are currently two global pandemics. Epidemiological studies indicate that diabetes is the second most common comorbidity in COVID-19. This review aims to summarize currently available data about prevalence, possible pathophysiological mechanisms and management of patients with diabetes and COVID-19.

Canagliflozin and Amputation Risk: Evidence So Far.

The CANVAS program detected a 2-fold increased risk of lower limb amputation in patients treated with canagliflozin compared with those with placebo. This adverse effect was not confirmed in the CREDENCE trial. Moreover, randomized controlled trials with other agents in this class, dapagliflozin and empagliflozin, did not detect increased risk of amputation. Observational studies, cohort studies, and pharmacovigilance reports with sodium-glucose cotransporter 2 inhibitor (SGLT2i) have reported conflicting results. Whether this adverse event is a drug effect specific to canagliflozin, or a SGLT2i class effect, remains controversial. Until more evidence emerges, clinicians should avoid using SGLT2i, especially canagliflozin, in patients with previous amputations or existing foot ulceration.

Euglycemic Diabetic Ketoacidosis Secondary to Dapagliflozin in a Patient with Colon Malignancy.

The use of sodium-glucose cotransporter 2 (SGLT2) inhibitors for the treatment of type 2 diabetes is steadily increasing. SGLT2 inhibitors are associated with weight loss, lowering of blood pressure, and low hypoglycemia risk along with beneficial cardiovascular and renoprotective effects. In view of the increasing use of SGLT2i, physicians must be aware of their adverse effects. Euglycemic diabetic ketoacidosis (euDKA) is a well-recognized adverse effect of SGLT2i. We present here a case of euglycemic diabetic ketoacidosis secondary to dapagliflozin use in a type 2 diabetic patient with colon cancer. To the best of our knowledge, this is first report of SGLT2 inhibitor-associated euDKA in a patient with underlying colon cancer.