Publications by authors named "Masaaki Hino"

Objectives: This study aimed to examine the association between ABCDEF bundles and long-term postintensive care syndrome (PICS)-related outcomes.

Design: Secondary analysis of the J-PICS study.

Setting: This study was simultaneously conducted in 14 centers and 16 ICUs in Japan between April 1, 2019, and September 30, 2019.

View Article and Find Full Text PDF
Article Synopsis
  • A study was conducted to evaluate the quality of life of patients suffering from post-intensive care syndrome (PICS) six months after their ICU admission using the SF-36 health survey, focusing on physical, mental, and cognitive impairments.
  • Of the 192 patients followed, 25% died within six months, and among those who survived, 63.5% showed at least one PICS impairment, with specific rates of physical (32.3%), mental (14.6%), and cognitive (37.5%) issues noted.
  • The research aimed to identify factors influencing PICS occurrence and assessed the significance of patients' reported impairments through a global rating scale, highlighting the need for better pre- and post-IC
View Article and Find Full Text PDF

Background: Postoperative sore throat is a leading undesirable postoperative outcome. Ketamine is an N-methyl-d-aspartate receptor antagonist and its topical application is used for chronic pain and oral/throat indications. We conducted a systematic review to assess the efficacy of preoperative, topical ketamine application for preventing postoperative sore throat.

View Article and Find Full Text PDF

Purpose: This study aims to identify prognostic factors related to short-term and long-term outcomes of patients with hematological malignancy (HM) admitted to the intensive care unit (ICU) in Japan during ICU stay and after discharge from ICU.

Methods: We conducted a retrospective, observational study of 169 patients with HM admitted to the general ICU from January 2009 to December 2016. We examined prognostic factors affecting outcome during ICU stay and at 180 days after ICU discharge using logistic regression analysis.

View Article and Find Full Text PDF