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The pneumonia severity index (PSI) or PORT Score is a clinical prediction rule that medical practitioners can use to calculate the probability of morbidity and mortality among patients with community acquired pneumonia. [1] The PSI/PORT score is often used to predict the need for hospitalization in people with pneumonia. [2]
Pneumonia as seen on chest x-ray. A: Normal chest x-ray.B: Abnormal chest x-ray with shadowing from pneumonia in the right lung (left side of image).. Hospital-acquired pneumonia (HAP) or nosocomial pneumonia refers to any pneumonia contracted by a patient in a hospital at least 48–72 hours after being admitted.
With pneumonic plague, the first signs of illness are fever, headache, weakness and rapidly developing pneumonia with shortness of breath, chest pain, cough and sometimes bloody or watery sputum. [7] The pneumonia progresses for two to four days and may cause respiratory failure and shock. Patients will die without early treatment, some within ...
Pneumonia is an inflammatory condition of the lung primarily affecting the small air sacs known as alveoli. [3] [14] Symptoms typically include some combination of productive or dry cough, chest pain, fever, and difficulty breathing. [15]
Appearance of usual interstitial pneumonia (UIP) in a surgical lung biopsy at low magnification. The tissue is stained with hematoxylin (purple dye) and eosin (pink dye) to make it visible. The pink areas in this picture represent lung fibrosis (collagen stains pink). Note the "patchwork" (quilt-like) pattern of the fibrosis.
The Institute for Health Metrics and Evaluation said Americans' life expectancy is expected to increase in the next 30 years, but it’s doing so at a much slower rate than its peer countries.
Pulmonary embolism is the third leading cause of death from cardiovascular disease and happens when blood clots block an artery in the lungs, so blood and gas cannot flow normally.
[2] [3] Life2vec is a transformer-based model, similar to those used in natural language processing (e.g., ChatGPT or Llama), trained to analyze life trajectories. The project leverages rich registry data from Denmark, covering six million individuals, with event data related to health, demographics, and labor, recorded at a day-to-day ...