Identification of risk factors for the onset of delirium associated with COVID-19 by mining nursing records.

COVID-19 has a range of complications, from no symptoms to severe pneumonia. It can also affect multiple organs including the nervous system. COVID-19 affects the brain, leading to neurological symptoms such as delirium. Delirium, a sudden change in consciousness, can increase the risk of death and prolong the hospital stay. However, research on delirium prediction in patients with COVID-19 is insufficient. This study aimed to identify new risk factors that could predict the onset of delirium in patients with COVID-19 using machine learning (ML) applied to nursing records. This retrospective cohort study used natural language processing and ML to develop a model for classifying the nursing records of patients with delirium. We extracted the features of each word from the model and grouped similar words. To evaluate the usefulness of word groups in predicting the occurrence of delirium in patients with COVID-19, we analyzed the temporal changes in the frequency of occurrence of these word groups before and after the onset of delirium. Moreover, the sensitivity, specificity, and odds ratios were calculated. We identified (1) elimination-related behaviors and conditions and (2) abnormal patient behavior and conditions as risk factors for delirium. Group 1 had the highest sensitivity (0.603), whereas group 2 had the highest specificity and odds ratio (0.938 and 6.903, respectively). These results suggest that these parameters may be useful in predicting delirium in these patients. The risk factors for COVID-19-associated delirium identified in this study were more specific but less sensitive than the ICDSC (Intensive Care Delirium Screening Checklist) and CAM-ICU (Confusion Assessment Method for the Intensive Care Unit). However, they are superior to the ICDSC and CAM-ICU because they can predict delirium without medical staff and at no cost.

Preliminary study of prehospital use of smart glasses.

Background: A smart glasses system is a computerized communicator with a transparent screen and video camera that can be worn as a pair of glasses. There have been no reports on the use of smart glasses in the prehospital setting. Purpose: To conduct a preliminary investigation on whether smart glasses were smoothly used bidirectionally between the prehospital setting and the receiving hospital. Methods: From March 1, 2022, to March 31, 2022, one smart glasses unit was installed in an ambulance at one branch of the fire department near our hospital. The physician on the computer, who received video and voice transmission from the smart glasses when the ambulance was dispatched, evaluated the transmission status with regard to video reception, voice reception, and voice transmission. In addition, the activity time was compared between cases in which the smart glasses system was used (patient) and not used (control). Results: During the investigating period, 12 cases were analyzed as patients. The rate of good video reception was 75%, the rate of good voice reception was 50%, and the rate of good voice transmission was 25%. There was no significant change in the activity time between the patient and control groups. Conclusion: We performed a preliminary investigation on the usability of smart glasses in the prehospital setting. Using smart glasses, patient information was shared by video and voice before arrival at the hospital, and did not affect the activity time. However, the instability of the communication status should be recognized.

A disposable, ultra-fine endoscope for non-invasive, close examination of the intraluminal surface of the peritoneal dialysis catheter and peritoneal cavity.

The ability to visualize intraluminal surface of peritoneal dialysis (PD) catheter and peritoneal cavity could allow elucidation of the cases of outflow problems, and provide information on changes to the peritoneal membrane leading to encapsulating peritoneal sclerosis. A non-invasive examination that allows those monitoring in need is desirable. We have developed a disposable ultra-fine endoscope that can be inserted into the lumen of the existing PD catheter, allowing observation of the luminal side of the catheter and peritoneal cavity from the tip of the PD catheter, with minimum invasion in practice. In a pre-clinical study in pigs and a clinical study in 10 PD patients, the device provided detailed images, enabling safe, easy observation of the intraluminal side of the entire catheter, and of the morphology and status of the peritoneal surface in the abdominal cavity under dwelling PD solution. Since this device can be used repeatedly during PD therapy, clinical application of this device could contribute to improved management of clinical issues in current PD therapy, positioning PD as a safer, more reliable treatment modality for end-stage renal disease.

Development of Support System for Breast Cancer Patients--Managing Side Effects through an Internet-Based System.

Chemotherapy in the outpatient setting is effective in improving patients' quality of life (QOL). However, the increasing availability of targeted molecular agents in addition to conventional anti-cancer medications has placed increased importance on managing adverse events and educating patients about side effects that can affect their QOL. We developed an Internet-based "Patient Support System"to enable patients at home to communicate symptoms of side effects and administration status to a hospital interface that documents and monitors the ongoing side-effect profile. In a trial of 8 patients scheduled to receive chemotherapy before or after surgery, our system enabled medical staff to quantitatively confirm data on side effects recorded daily by the outpatients, demonstrating that it functions effectively in maintaining the patient's QOL. Moreover, it clearly identified significant differences in the occurrence and status of side effects between patients receiving the same anticancer medication. Patients reported that the onset of side effects and recovery status could be confirmed objectively, thus enabling self-management of the disease, which helped greatly in managing side effects and schedules throughout the treatment period. This system has potential as a supportive tool for activities of daily living while maintaining QOL and improving the overall therapeutic effect.