Pre-hospital glycemia as a biomarker for in-hospital all-cause mortality in diabetic patients - a pilot study.

BACKGROUND: Type 2 Diabetes Mellitus (T2DM) presents a significant healthcare challenge, with considerable economic ramifications. While blood glucose management and long-term metabolic target setting for home care and outpatient treatment follow established procedures, the approach for short-term targets during hospitalization varies due to a lack of clinical consensus. Our study aims to elucidate the impact of pre-hospitalization and intra-hospitalization glycemic indexes on in-hospital survival rates in individuals with T2DM, addressing this notable gap in the current literature. METHODS: In this pilot study involving 120 hospitalized diabetic patients, we used advanced machine learning and classical statistical methods to identify variables for predicting hospitalization outcomes. We first developed a 30-day mortality risk classifier leveraging AdaBoost-FAS, a state-of-the-art ensemble machine learning method for tabular data. We then analyzed the feature relevance to identify the key predictive variables among the glycemic and routine clinical variables the model bases its predictions on. Next, we conducted detailed statistical analyses to shed light on the relationship between such variables and mortality risk. Finally, based on such analyses, we introduced a novel index, the ratio of intra-hospital glycemic variability to pre-hospitalization glycemic mean, to better characterize and stratify the diabetic population. RESULTS: Our findings underscore the importance of personalized approaches to glycemic management during hospitalization. The introduced index, alongside advanced predictive modeling, provides valuable insights for optimizing patient care. In particular, together with in-hospital glycemic variability, it is able to discriminate between patients with higher and lower mortality rates, highlighting the importance of tightly controlling not only pre-hospital but also in-hospital glycemic levels. CONCLUSIONS: Despite the pilot nature and modest sample size, this study marks the beginning of exploration into personalized glycemic control for hospitalized patients with T2DM. Pre-hospital blood glucose levels and related variables derived from it can serve as biomarkers for all-cause mortality during hospitalization.

Acute Esophageal Necrosis as a Rare Complication of Metabolic Acidosis in a Diabetic Patient: A Case Report.

BACKGROUND Acute esophageal necrosis, or Gurvits syndrome, is a rare clinical process often secondary to a systemic low-flow state. It can be caused by several medical conditions, and it is thought to arise from a combination of impaired mucosal barrier and chemical and ischemic insults to the esophagus. Acute esophageal necrosis usually presents with severe complications due to delayed diagnosis and only rarely has surgical indications. We present a case of Gurvits syndrome, presumably triggered by metabolic acidosis in a diabetic patient. CASE REPORT A 61-year-old man with history of hypertension and type 2 diabetes mellitus treated with metformin, canagliflozin, glimepiride, and pioglitazone came to our attention with persistent vomiting, odynophagia, chest pain after each meal, and progressive weight loss. Arterial blood analysis showed mild metabolic acidosis, while the first esophagogastroduodenoscopy performed revealed a circumferential black appearance of the esophageal mucosa, as in concentric necrosis of the distal esophagus with possible fungal superinfection. Brushing cytology confirmed the infection by Candida spp. and the patient was treated with intravenous fluconazole. The second esophagogastroduodenoscopy, performed after 2 weeks, showed almost complete healing of the esophageal mucosa; in this case, biopsy confirmed mucosal ischemia and necrosis, without showing deep impairment of the mucosa by fungal agents. CONCLUSIONS Due to its high lethality, often caused by the underlying medical diseases, acute esophageal disease should be considered in the differential diagnosis of digestive symptoms, even without upper gastrointestinal bleeding. Prompt diagnosis and treatment of contextual collateral conditions can help clinicians to avoid the worst outcomes of the disease. Among the causative factors of metabolic acidosis leading to esophageal necrosis we recognized metformin and dapagliflozin.

Update on Classic and Novel Approaches in Metastatic Triple-Negative Breast Cancer Treatment: A Comprehensive Review.

Triple-negative breast cancer (TNBC) accounts for almost 15% of all diagnosed breast cancers and often presents high rates of relapses and metastases, with generally poor prognosis despite multiple lines of treatment. Immunotherapy has radically changed the approach of clinicians towards TNBC in the last two to three years, even if targeted and specific therapeutic options are still missing; this unmet need is further justified by the extreme molecular and clinical heterogeneity of this subtype of breast cancer and by the weak response to both single-agent and combined therapies. In March 2023, the National Comprehensive Cancer Network (NCCN), the main association of cancer centers in the United States, released the last clinical practice guidelines, with an update on classic and novel approaches in the field of breast cancer. The purpose of this comprehensive review is to summarize the latest findings in the setting of metastatic TNBC treatment, focusing on each category of drugs approved by the Food and Drug Administration (FDA) and included in the NCCN guidelines. We also introduce part of the latest published studies, which have reported new and promising molecules able to specifically target some of the biomarkers involved in TNBC pathogenesis. We searched the PubMed and Scopus databases for free full texts reported in the literature of the last 5 years, using the words "triple-negative breast cancer" or "TNBC" or "basal-like". The articles were analyzed by the authors independently and double-blindly, and a total of 114 articles were included in the review.