Using Machine Learning to Predict Antimicrobial Resistance-A Literature Review.

Machine learning (ML) algorithms are increasingly applied in medical research and in healthcare, gradually improving clinical practice. Among various applications of these novel methods, their usage in the combat against antimicrobial resistance (AMR) is one of the most crucial areas of interest, as increasing resistance to antibiotics and management of difficult-to-treat multidrug-resistant infections are significant challenges for most countries worldwide, with life-threatening consequences. As antibiotic efficacy and treatment options decrease, the need for implementation of multimodal antibiotic stewardship programs is of utmost importance in order to restrict antibiotic misuse and prevent further aggravation of the AMR problem. Both supervised and unsupervised machine learning tools have been successfully used to predict early antibiotic resistance, and thus support clinicians in selecting appropriate therapy. In this paper, we reviewed the existing literature on machine learning and artificial intelligence (AI) in general in conjunction with antimicrobial resistance prediction. This is a narrative review, where we discuss the applications of ML methods in the field of AMR and their value as a complementary tool in the antibiotic stewardship practice, mainly from the clinician's point of view.

Nursing Workload in Patients With Myocardial Ischemia After Non-cardiac Surgery.

INTRODUCTION: Nursing workload (NWL) in the intensive care unit (ICU) is an essential parameter of patient safety. However, little attention has been dedicated to measuring NWL in ICU about patients surgically treated with myocardial ischemia (MI).  Methods: The objectives of this study are to describe and examine the NWL by applying the Nursing Activities Score in patients who underwent non-cardiac surgery and developed MI in the ICU. The statistical significance was set at 0.05. The statistical program SPSS 22.0 was used for the analysis. RESULTS:  The mean age was 69.1 years, whereas 32.4% of the patients had MI. Hypertension, diabetes mellitus, and dyslipidemia were the main comorbidities. On the first day in ICU, the NWL was similar in all patients (p = 0.947). In the following days, the NWL was significantly higher in patients with MI (p < 0.001). The NWL was considerably higher in patients with MI who died. CONCLUSIONS:  The present results are essential for planning and using nursing resources according to the care needs of postoperative patients with MI.

Discovering Association Rules in Antimicrobial Resistance in Intensive Care Unit.

Multidrug resistant infections in intensive care units represent a worldwide problem with adverse health effects and negative economic implications. As artificial intelligence techniques are increasingly applied in diagnosing, treating, and preventing antimicrobial resistance, in this study, we explore the use of association rule mining in the antibiotic resistance profile of critically ill patients suffering from multidrug resistant infections.

The Predictive Role of Cardiac Troponin in Non-cardiac Surgery: A Study in the Greek Population.

Introduction The incidence of postoperative myocardial ischemia (POMI) remains uncertain and underdiagnosed despite significant morbidity and mortality rates. Methods This study included patients who underwent non-cardiac surgery. Troponin T (TnT) was measured on the first three postoperative days. The revised cardiac risk index, HAS-BLED (hypertension, abnormal renal/liver function, stroke, bleeding history or predisposition, labile international normalized ratio (INR), elderly, drugs/alcohol concomitantly) bleeding score, and CHA2DS2-VASc (congestive heart failure, hypertension, age ≥ 75 years, diabetes mellitus, stroke or transient ischemic attack (TIA), vascular disease, age 65 to 74 years, sex category) score were combined. The receiver operating characteristic (ROC) curve was used to estimate the discriminative ability of preoperative troponin for myocardial ischemia (MI). Results Of 105 patients with a mean age of 69.1 years, 32.4% had MI. Hypertension, diabetes mellitus, and dyslipidemia were the main risk factors. A ROC analysis indicated that a preoperative value of 17.2 pg/ml or higher of troponin was significantly associated with MI. Moreover, a higher CHA2DS2-VASc score was associated with POMI. Conclusions POMI is associated with high mortality and a long stay in the intensive care unit. Routine use of different scores before surgery can be very useful.

Mitochondrial Homeostasis and Cellular Senescence.

Cellular senescence refers to a stress response aiming to preserve cellular and, therefore, organismal homeostasis. Importantly, deregulation of mitochondrial homeostatic mechanisms, manifested as impaired mitochondrial biogenesis, metabolism and dynamics, has emerged as a hallmark of cellular senescence. On the other hand, impaired mitostasis has been suggested to induce cellular senescence. This review aims to provide an overview of homeostatic mechanisms operating within mitochondria and a comprehensive insight into the interplay between cellular senescence and mitochondrial dysfunction.

Temporal bone and mastoid process morphology in Mediterranean population.

The mastoid process originates from a recent phylogenetic formation and is currently considered as an evolution of the supper-structures bones. The aim of this study was the detailed description of the anatomic elements of the mastoid and the temporal bone in a large Greek adult corpse material. In total, 298 temporal bones from 149 cadaverous (74 male and 75 female) were examined from 1973 through 1993. Concerning the shape of the mastoid apex 94.0% were normal, while the rest presented several variations No statistically significant difference was revealed between genders. The diameters and axis of the temporal bone presented an independent correlation with gender in a multiple regression model. This prescription may add in easier surgical approach by adding new morphological details directly from the corpse material.