Unlabelled: Several severity scores have been proposed to predict patient outcome and guide initial management of patients with community acquired pneumonia (CAP). The Japan Respiratory Society (JRS) has proposed new predicting scores, A-DROP system (score 0-5, Age : male 70 years and more, female 75 years and more, BUN > 21 mg/dl, SpO2 < 90% or PaO2 < 60 Torr, confusion, systolic blood pressure < 90 mmHg). We aimed to compare the predictive value of these instruments regarding 30-day mortality.
Methods: All patients with an admission diagnosis of CAP from April 2002-March 2006 were reviewed. Clinical and laboratory features at presentation on electrical medical records were used to calculate severity scores using the Pneumonia Severity Index (PSI), CURB-65 (2004) and A-DROP (2005). Patients were categorized into PSI risk classes (I-V) and CURB-65 (0-5) and A-DROP (0-5) risk strata.
Results: Consecutive 523 patients (61% male) of mean age 70.5 years were included in the analysis. Thirty-one (5.9%) patients died and 12 (2.2%) patients required ventilatory support. ROC analysis for predicting mortality at 30 days showed that A-DROP score has similar power for short-term mortality to PSI, and slightly more accurate in identifying patients at low risk than the CURB-65 score.
Download full-text PDF |
Source |
---|
J Med Microbiol
January 2025
Parul Institute of Applied Sciences, Faculty of Applied Sciences, Parul University, Vadodara, Gujarat 391760, India.
The rise in antimicrobial resistance poses a significant threat to global health, particularly among diabetic patients who are prone to urinary tract infections (UTIs). Pathogens that cause UTI among diabetic patients exhibit significant multidrug resistance (MDR) patterns, necessitating more precise empirical treatment strategies..
View Article and Find Full Text PDFBackground: Chronic obstructive pulmonary disease (COPD) patients commonly exhibit significant morbidity and experience a diminished quality of life. Since there has been no prior research on pneumonia in our study population, we carried out this study to learn more about the situation.
Methods: A retrospective analysis of 912 COPD patients with CAP who were receiving ICS treatment at the DHQ Hospital in Muzaffargarh, Punjab, Pakistan was conducted.
Infect Drug Resist
January 2025
Department of Critical Care Medicine, The Fifth Clinical Medical College of Henan University of Chinese Medicine, Zhengzhou, Henan Province, People's Republic of China.
Background: Several predictive models for invasive pulmonary aspergillosis (IPA) based on clinical characteristics have been reported. Nevertheless, the significance of other concurrently detected microorganisms in IPA patients is equally noteworthy. This study aimed to develop a risk prediction model for IPA by integrating clinical and microbiological characteristics.
View Article and Find Full Text PDFFront Cell Infect Microbiol
January 2025
Emergency Medicine Clinical Research Center, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Background: Community-acquired pneumonia (CAP) poses a significant health threat to the elderly population, leading to high morbidity and mortality rates. Serum ferritin, a critical indicator of iron metabolism, plays a pivotal role in inflammation and immune regulation. Nevertheless, its specific prognostic relevance in elderly patients with CAP remains unclear.
View Article and Find Full Text PDFJ Community Hosp Intern Med Perspect
January 2025
Internal Medicine Residency Program, Florida State University College of Medicine, Tallahassee, FL, USA.
Lymphogranuloma venereum (LGV) is a sexually transmitted infection typically caused by serovars L1-L3 of . These serovars are tissue-invasive with a preponderance for lymphatic spread and can be acquired via unprotected oral, anal, or vaginal sex. We present the case of a 23-year-old with a prior history of syphilis admitted with four weeks of progressively enlarging painful right cervical lymphadenopathy.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!