Harris, Dana

INTRODUCTION: The increasing prevalence of clarithromycin (CLA)-resistant Helicobacter pylori (H. pylori) strains poses a significant challenge in the management of H. pylori infections. This systematic review and meta-analysis investigates the diagnostic accuracy of polymerase chain reaction (PCR) in identifying CLA-resistant H. pylori strains in stool. METHODS: A comprehensive literature search was conducted using PubMed, Embase, and Cochrane databases from database inception to April 30, 2023. Eligible studies evaluated the effectiveness of PCR stool tests in detecting CLA-resistant H. pylori strains in adults (>18-year-old). Studies of pediatric populations, alternative methods to PCR or stool samples, and reference tests other than gastric biopsy were excluded. The bivariate random-effects model was used to pool diagnostic accuracy from the included studies. RESULTS: The analysis of 11 prospective diagnostic studies with a total of 866 patients showed a pooled sensitivity of 0.97 (95% CI: 0.9–0.99) and a pooled specificity of 0.98 (95% CI: 0.81–1.00). Subgroup analysis based on the used technique demonstrated consistent findings without notable variations. The diagnostic odds ratio was calculated at 1843.92 (95% CI: 134.28–25,321.3). The positive likelihood ratio was determined as 51.02 (95% CI: 4.61–564.5), while the negative likelihood ratio was found to be 0.03 (95% CI: 0.01–0.1). DISCUSSION: PCR testing for clarithromycin-resistant H. pylori was highly sensitive and specific across studies with proven reliability in clinical practice, particularly in outpatient settings. Their implementation offers cost-effectiveness and the potential for tailored treatment strategies, holding promise for improved patient outcomes.

Abstract Helicobacter pylori is the most prevalent bacteria infecting humans resulting in a variety of gastrointestinal and extra gastrointestinal complications. Although most of the infected adults are asymptomatic, the prevalence varies in different parts of the world it is higher in Eastern and Southern Europe. Eradication of Helicobacter pylori is necessary to prevent precancerous conditions like gastric atrophy, gastric intestinal metaplasia and gastric dysplasia. This comprehensive review addresses briefly on: whom and how to test and treat including recommended first line therapies, salvage therapies, testing for eradication and strategy to be used in primary care clinics.

Abstract The COVID-19 pandemic continues to overwhelm global healthcare systems. While the disease primarily causes pulmonary complications, reports of central nervous system (CNS) involvement have recently emerged ranging from encephalopathy to stroke. This raises a practical dilemma for clinicians as to when to pursue neuroimaging and lumbar tap with cerebrospinal fluid (CSF) analysis in COVID-19 patients with neurological symptoms. We present a case of an encephalopathic patient infected with SARS-CoV-2 with no pulmonary symptoms. We propose a three-tier risk stratification for CNS COVID-19 aiming to help clinicians to decide which patients should undergo CSF analysis. The neurological examination remains an integral component of screening and evaluating patients for COVID-19 considering the range of emerging CNS complications.

Abstract Pharmacogenomics describes the link between the genetic code and variations in drug response or adverse effects. It is rapidly gaining in both interest and accessibility. The knowledge of the gene-drug pairing for a wide range of medications will allow the clinician to select drugs with the best efficacy, appropriate dose and lowest likelihood of serious side effects. In order to apply this knowledge, practitioners need to be familiar with the basic principles of pharmacodynamics and pharmacokinetics and how these relate to drug response. Once these are understood, so can be the genetic variations that lead to different phenotypes. Our review explains these concepts and uses examples of commonly prescribed medications and their gene pairings. At the present time, the Food and Drug Administration (FDA) guidelines remain sparse in regards to pharmacogenomic testing but, despite this, direct-to-consumer testing is widely available. In this context, we detail how to interpret a pharmacogenomic report, we review the indications for testing, as well as its limitations. This information is a step ahead towards invidualized medicine, in the hope that tailoring medications and doses to an individual’s genetic make-up will predict a safe and effective response.

Introduction: Our study assesses the utility of telemetry in identifying decompensation in patients with documented cardiopulmonary arrest. Methods: A retrospective review of inpatients who experienced a cardiopulmonary arrest from May 1, 2008, until June 30, 2014, was performed. Telemetry records 24 hours prior to and immediately preceding cardiopulmonary arrest were reviewed. Patient subanalyses based on clinical demographics were made as well as analyses of survival comparing patients with identifiable rhythm changes in telemetry to those without. Results: Of 242 patients included in the study, 75 (31.0%) and 110 (45.5%) experienced telemetry changes at the 24-hour and immediately preceding time periods, respectively. Of the telemetry changes, the majority were classified as nonmalignant (n = 50, 66.7% and n = 66, 55.5% at 24 hours prior and immediately preceding, respectively). There was no difference in telemetry changes between intensive care unit (ICU) and non-ICU patients and among patients stratified according to the American Heart Association telemetry indications. There was no difference in survival when comparing patients with telemetry changes immediately preceding and at 24 hours prior to an event (n = 30, 27.3% and n = 15, 20.0%) to those without telemetry changes during the same periods (n = 27, 20.5% and n = 42, 25.2%; P = .22 and .39). Conclusion: Telemetry has limited utility in predicting clinical decompensation in the inpatient setting.