Pneumonias continue to be major public health issues and are commonly encountered in the intensive care setting. The most common types of pneumonia leading to critical illness include severe community acquired pneumonia, hospital acquired pneumonia, and ventilator associated pneumonia. Early evaluation, diagnosis, and escalation to appropriate levels of care are imperative to improving survival. Treatment remains challenging with the need to balance antibiotic stewardship and minimizing patient harm. As evidenced in the most recent society guidelines, the identification of risk factors for severe disease and the causative pathogens are crucial in guiding the most appropriate therapy.
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http://dx.doi.org/10.23736/S0026-4806.22.08467-1 | DOI Listing |
Sci Rep
December 2024
Krannert Cardiovascular Research Center, Division of Cardiovascular Medicine, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.
COVID-19 is associated with long-term cardiovascular complications. Heart Rate Variability (HRV), a measure of sympathetic (SNS) and parasympathetic (PNS) control, has been shown to predict COVID-19 outcomes and correlate with disease progression but a comprehensive analysis that includes demographic influences has been lacking. The objective of this study was to determine the balance between SNS, PNS and heart rhythm regulation in hospitalized COVID-19 patients and compare it with similar measurements in healthy volunteers and individuals with cardiovascular diseases (CVD), while also investigating the effects of age, Body Mass Index (BMI), gender and race.
View Article and Find Full Text PDFJ Pers Med
November 2024
Department of Anesthesiology and Intensive Care Medicine, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Charité-Universitätsmedizin Berlin, Hindenburgdamm 30, 12203 Berlin, Germany.
: A novel fixed combination of aztreonam (ATM) and avibactam (AVI) offers promising potential to treat infections with carbapenem-resistant (CRE) producing metallo-β-lactamases (MBL). This study aimed to assess the accuracy of population pharmacokinetic (PK) models for ATM-AVI in predicting in vivo concentrations in a critically ill patient with CRE infection during its first clinical use. : A 70-year-old male with septic shock due to hospital-acquired pneumonia (HAP) caused by MBL-producing was treated with ATM-AVI.
View Article and Find Full Text PDFJ Pers Med
November 2024
Department of Respiratory Medicine, Faculty of Medicine, University of Thessaly, Biopolis, 41500 Larissa, Greece.
Pertussis remains a significant public health concern despite effective vaccines due to diagnostic challenges and symptom overlap with other respiratory infections. This study assesses the prevalence of using advanced polymerase chain reaction (PCR) testing and examines the clinical outcomes over a one-month follow-up. We conducted a cross-sectional study at the University Hospital of Larissa, Greece, from April to June 2024, collecting 532 nasopharyngeal swabs from patients with respiratory symptoms.
View Article and Find Full Text PDFDiseases
December 2024
Department of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi Arabia.
People of all ages can contract pneumonia, and it can cause mild to severe disease and even death. In addition to being a major cause of death for elderly people and those with prior medical conditions such as diabetes, it isthe world's biggest infectious cause of death for children. Diabetes mellitus is a metabolic condition with a high glucose level and is a leading cause of lower limb amputation, heart attacks, strokes, blindness, and renal failure.
View Article and Find Full Text PDFFront Public Health
December 2024
Department of Anesthesiology, Chengdu Fifth People's Hospital (The Second Clinical Medical College, Affiliated Fifth People's Hospital of Chengdu University of Traditional Chinese Medicine), Chengdu, China.
Background: Postoperative pneumonia, a prevalent form of hospital-acquired pneumonia, poses significant risks to patients' prognosis and even their lives. This study aimed to develop and validate a predictive model for postoperative pneumonia in surgical patients using nine machine learning methods.
Objective: Our study aims to develop and validate a predictive model for POP in surgical patients using nine machine learning algorithms.
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