Objectives: To document the prevalence of Legionella sp., Mycoplasma Pneumoniae and Influenza A and B in older patients hospitalized for community-acquired pneumonia (CAP) of nursing-home acquired pneumonia (NHAP) and to determine risk factors associated with fatal outcome or prolonged hospital stay.
Design: Prospective clinical and serological study.
Patients: All patients with CAP of NHAP--confirmed by chest roentgenogram--admitted to a 320-bed acute care geriatric university hospital from May 1, 1988 to August 31, 1989, were included. Serological testing was performed upon admission and after 2 and 4 weeks. Relevant data concerning medical history, clinical examination, and laboratory data were recorded upon admission. Ninety-nine patients (age: 85 +/- 6.3 years, 36 male, 63 female) met inclusion criteria; 20 came from nursing homes, 79 from their homes in the community.
Main Results: Fourteen patients died during the month after admission. An etiological diagnosis could be established in 22 patients. No cases of Legionella pneumonia and one case of M. pneumoniae were detected. Seven patients had evidence of Influenza pneumonia. Nonsurvivors were more likely to have been admitted from a nursing home and to have a temperature less than 37.5 degrees C and elevated urea nitrogen (BUN). Cyanosis, involvement of upper lobes, elevated white blood cell counts, and higher percentage of band forms were associated statistically with longer treatment.
Conclusions: This study confirms the low prevalence of Legionella sp. and M. Pneumoniae infection in CAP and NHAP in this age group. Risk factors as to outcome and length of treatment may be used as points to identify high risk patients, with special attention to patients coming from nursing homes, and patients with high BUN.
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Biomed Phys Eng Express
January 2025
Radiation Oncology, Emory University, Emory Midtown Hospital, Atlanta, Georgia, 30322, UNITED STATES.
Although radiotherapy techniques are the primary treatment for head and neck cancer (HNC), they are still associated with substantial toxicity, and side effect. Machine learning (ML) based radiomics models for predicting toxicity mostly rely on features extracted from pre-treatment imaging data. This study aims to compare different models in predicting radiation-induced xerostomia and sticky saliva in both early and late stage of HNC patients using CT and MRI image features along with demographics and dosimetric information.
View Article and Find Full Text PDFDisabil Rehabil
January 2025
Clinic Institute of Medical and Surgical Specialties (ICEMEQ), Hospital Clinic of Barcelona, Barcelona, Spain.
Purpose: Adherence to home rehabilitation following total knee arthroplasty (TKA) is essential to reach optimal functional outcomes, especially in fast-track procedures. The aim of this study is to identify which sociodemographic and health factors significantly affect adherence in this context.
Methods: This is a secondary analysis of a randomized controlled trial with 52 patients.
Appl Neuropsychol Adult
January 2025
Faculty Xavier Institute of Engineering, Mahim, India.
In the fields of engineering, science, technology, and medicine, artificial intelligence (AI) has made significant advancements. In particular, the application of AI techniques in medicine, such as machine learning (ML) and deep learning (DL), is rapidly growing and offers great potential for aiding physicians in the early diagnosis of illnesses. Depression, one of the most prevalent and debilitating mental illnesses, is projected to become the leading cause of disability worldwide by 2040.
View Article and Find Full Text PDFSurg Innov
January 2025
Morristown Medical Center, Department of Surgery, Morristown, NJ, USA.
Background: In difficult colorectal cases, surgeons may opt for a hand-assisted laparoscopic (HALS) colectomy or attempt a laparoscopic surgery that may require an unplanned conversion to open (LCOS). We aimed to compare the clinical outcomes of these 2 types of surgeries.
Methods: Colectomies for acute diverticulitis with a HALS or LCOS surgery were selected from the American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) 2022 Targeted Colectomy Database.
J Clin Endocrinol Metab
January 2025
Department of Internal Medicine and Therapeutics, University of Pavia, 27100 Pavia, Italy.
Background: Thyroid nodules classified cytologically as low-risk indeterminate lesions (TIR3A) on fine-needle aspiration biopsy (FNAB) present a clinical challenge due to their uncertain malignancy risk. This single-center study aimed to evaluate the natural history of TIR3A nodules.
Materials And Methods: FNABs performed between July 2017 and December 2019 were retrospectively retrieved and patients with TIR3A nodules were evaluated at baseline and throughout a follow-up based on ultrasound (US) parameters and clinical data.
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