Results 131 to 140 of about 683,865 (337)
The MTG group had a significantly lower incidence of severe postoperative complications than the OTG group. Moreover, the incidences of pancreatic fistula and intra‐abdominal abscess were also significantly lower in the MTG than in the OTG group. Additionally, the median hospital stay for the MTG group was significantly shorter than that of the OTG ...
Motonari Ri+6 more
wiley +1 more source
Community versus academic hospital community-acquired pneumonia patients: a nested cohort study
Background Most Canadians receive their care in community hospitals, yet most clinical research is conducted in academic hospitals. This study aims to compare patients with community acquired pneumonia (CAP) treated in academic and community hospitals ...
Jennifer L.Y. Tsang+28 more
doaj +1 more source
BLOOD-LETTING AND BLISTERING IN THE TREATMENT OF PNEUMONIA. [PDF]
James Tyson
openalex +1 more source
The calibration plots of the updated risk models for the endpoints were analyzed in each cohort. The predicted probability of each endpoint matched the observed probability in the development and validation cohorts. Abstract Aim Risk prediction models for mortality, severe postoperative complications, and postoperative pancreatic fistula in patients ...
Masamichi Mizuma+8 more
wiley +1 more source
Background Early prediction of non-invasive respiratory therapy (NIRT) failure is crucial to avoid needless prolongation of respiratory support and delayed endotracheal intubation.
Raffaele Scala+6 more
doaj +1 more source
This study examined changes in surgical volume and short‐term outcomes for upper gastrointestinal cancer in the post‐COVID‐19 period using a nationwide Japanese database. We found that surgical treatments for gastrectomy and esophagectomy continued to be performed safely even after the COVID‐19 pandemic.
Masashi Takeuchi+13 more
wiley +1 more source
Purpose Studies on COVID-19 mortality during the Omicron-predominant wave have focused primarily on the inpatient/emergency room setting, and real-world data including both inpatients and outpatients are lacking. Methods Patients diagnosed with COVID-19 (
Koichi Miyashita+12 more
doaj +1 more source
FA-Net: A Fuzzy Attention-aided Deep Neural Network for Pneumonia Detection in Chest X-Rays [PDF]
Pneumonia is a respiratory infection caused by bacteria, fungi, or viruses. It affects many people, particularly those in developing or underdeveloped nations with high pollution levels, unhygienic living conditions, overcrowding, and insufficient medical infrastructure.
arxiv