Postoperative care in the intensive care unit is of vital importance for some major surgery such as cardiac surgery, major abdominal surgery and thoracic surgery. Patients underwent major operation suffers from prolonged anesthesia and complications such as delayed bowel movement, pulmonary complications, surgical site infection and malnutrition are very common. Delirium and agitation can also occur in such high risk patients. Thus, a research topic focusing on postoperative care and pain management can be of interests to researchers.
The occurrence of postoperative delirium is common, and such complication may increase the risk of adverse clinical outcomes. The management of delirium includes risk stratification, early mobilization, appropriate sedation and pain control, as well as the use of other adjunctive therapy such as use of air plug with music. Early risk stratification of patients at risk for delirium will help to tailor personalized treatment strategy for a particular subgroup of patients. The concept of individualized treatment will be helpful for this heterogeneous population. Early mobilization has been widely explored in the literature that it can have positive impact on patient outcome. It will also help to reduce the risk of delirium. However, these interventions require much more research to confirm their cost-effectiveness to increase the quality of evidence. This topic will focused on these important areas and papers focusing on postoperative management of critically ill patients are welcome.
The Research Topic will focus on all aspects of Postoperative Care. Reviews, perspectives, and original articles are welcome. Specific themes are listed below:
1. Postoperative care in the intensive care unit, the outcome should focus on the prevention of delirium and agitation.
2. Individualized treatment for postoperative care including the use of machine learning algorithms to stratify patients.
3. Subgroup stratification with unsupervised learning algorithm will be of interest to the present topic to address the heterogeneity of the study population.
4. Clinical trials focusing on cost-effectiveness of sedatives and analgesics are also welcome.
Postoperative care in the intensive care unit is of vital importance for some major surgery such as cardiac surgery, major abdominal surgery and thoracic surgery. Patients underwent major operation suffers from prolonged anesthesia and complications such as delayed bowel movement, pulmonary complications, surgical site infection and malnutrition are very common. Delirium and agitation can also occur in such high risk patients. Thus, a research topic focusing on postoperative care and pain management can be of interests to researchers.
The occurrence of postoperative delirium is common, and such complication may increase the risk of adverse clinical outcomes. The management of delirium includes risk stratification, early mobilization, appropriate sedation and pain control, as well as the use of other adjunctive therapy such as use of air plug with music. Early risk stratification of patients at risk for delirium will help to tailor personalized treatment strategy for a particular subgroup of patients. The concept of individualized treatment will be helpful for this heterogeneous population. Early mobilization has been widely explored in the literature that it can have positive impact on patient outcome. It will also help to reduce the risk of delirium. However, these interventions require much more research to confirm their cost-effectiveness to increase the quality of evidence. This topic will focused on these important areas and papers focusing on postoperative management of critically ill patients are welcome.
The Research Topic will focus on all aspects of Postoperative Care. Reviews, perspectives, and original articles are welcome. Specific themes are listed below:
1. Postoperative care in the intensive care unit, the outcome should focus on the prevention of delirium and agitation.
2. Individualized treatment for postoperative care including the use of machine learning algorithms to stratify patients.
3. Subgroup stratification with unsupervised learning algorithm will be of interest to the present topic to address the heterogeneity of the study population.
4. Clinical trials focusing on cost-effectiveness of sedatives and analgesics are also welcome.
