A scoping review of semantic integration of health data and information.

OBJECTIVE: We summarized a decade of new research focusing on semantic data integration (SDI) since 2009, and we aim to: (1) summarize the state-of-art approaches on integrating health data and information; and (2) identify the main gaps and challenges of integrating health data and information from multiple levels and domains. MATERIALS AND METHODS: We used PubMed as our focus is applications of SDI in biomedical domains and followed the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) to search and report for relevant studies published between January 1, 2009 and December 31, 2021. We used Covidence-a systematic review management system-to carry out this scoping review. RESULTS: The initial search from PubMed resulted in 5,326 articles using the two sets of keywords. We then removed 44 duplicates and 5,282 articles were retained for abstract screening. After abstract screening, we included 246 articles for full-text screening, among which 87 articles were deemed eligible for full-text extraction. We summarized the 87 articles from four aspects: (1) methods for the global schema; (2) data integration strategies (i.e., federated system vs. data warehousing); (3) the sources of the data; and (4) downstream applications. CONCLUSION: SDI approach can effectively resolve the semantic heterogeneities across different data sources. We identified two key gaps and challenges in existing SDI studies that (1) many of the existing SDI studies used data from only single-level data sources (e.g., integrating individual-level patient records from different hospital systems), and (2) documentation of the data integration processes is sparse, threatening the reproducibility of SDI studies.

Anesthetic management of lung transplantation in a patient with end-stage COVID-19 pneumonia: a case report

Rationale: The COVID-19 pandemic is spreading around the world and the leading cause of death is rapidly progressive respiratory failure because of lung damage and consolidation. Lung transplantation is the last line of treatment for chronic end-stage lung diseases. There were several cases of lung transplantation reported in patients with COVID-19 pneumonia. However, anesthetic management of lung transplantation in this subpopulation is rare. We report the anesthetic and perioperative management of lung transplantation in a patient with COVID-19 pneumonia. Patient concerns: A 70-year-old man with a 7-day history of fever was diagnosed with COVID-19 pneumonia. His throat swab was positive for COVID-19, but negative for other common viruses. Chest radiography showed multiple inflammatory foci in both lungs. By day 5, he presented respiratory distress. Computed tomography (CT) scan showed progressive deterioration of both lungs. Starting on day 7, SARS-CoV-2 RNA in bronchoalveolar lavage samples were continuously negative. However, his lung condition deteriorated. By day 17, a veno-venous extracorporeal membrane oxygenation (ECMO) was initiated. After 10 days of ECMO support, the patient's lung condition did not improve. CT scan revealed bilateral parenchymal consolidation with pulmonary fibrosis and hydrothorax. Diagnosis: Irreversible lung function loss induced by COVID-19 pneumonia. Interventions: Bilateral transplantation was performed because the patient's lung condition did not improve and CT scan revealed parenchymal consolidation with pulmonary fibrosis after 10 days of ECMO support. Thirty-six hours after the surgery, ECMO was discontinued. A percutaneous transluminal coronary angioplasty and a stent implantation were performed because of acute coronary syndrome and myocardial ischemia 4 days postoperatively. Outcomes: The patient remained hospitalized because of requirements for intermittent assisted ventilation via tracheostomy. Lessons: This case further supports the consideration that lung transplantation can potentially be the successful therapy for these patients who have developed irreversible lung function lose due to COVID-19 pneumonia. However, most critical patients with COVID-19 are older individuals with various comorbidities, which present new anesthetic challenges.