Prediction of futile recanalisation after endovascular treatment in acute ischaemic stroke: development and validation of a hybrid machine learning model.

Background: Identification of futile recanalisation following endovascular therapy (EVT) in patients with acute ischaemic stroke is both crucial and challenging. Here, we present a novel risk stratification system based on hybrid machine learning method for predicting futile recanalisation.

Methods: Hybrid machine learning models were developed to address six clinical scenarios within the EVT and perioperative management workflow.

[Progress in Diagnosis and Treatment of Lung Cancer Associated with Cystic Airspaces].

Lung cancer associated with cystic airspaces (LCCA) is a type of lung cancer characterized by the presence of cystic cavities in or around the tumor on imaging. Due to its high potential for misdiagnosis or underdiagnosis, the prognosis of LCCA patients is poor, necessitating further large-scale clinical studies to elucidate its characteristics. Currently, four imaging classification systems exist, and there has been a progressive increase in attention towards LCCA, particularly with regard to the study of its imaging features.

Quality assessment of the guidelines for the management of malignant pleural effusions and ascites.

Objectives: To fully assess the quality of the guidelines for the management of malignant pleural effusions (MPE) and ascites and reveal the heterogeneity of recommendations and possible reasons among guidelines.

Methods: A systematic search was performed in the database to obtain guidelines for the management of MPE and ascites. The AGREE IIGtool was used to assess the quality of these guidelines.

Application of a glycaemic control optimization programme in patients with stress hyperglycaemia.

Background: Stress-induced hyperglycaemia (SHG) can be observed in as high as 75% of critically ill patients, which can induce severe complications or adverse events. However, conventional intensive insulin therapy (CIIT) tends to induce hypoglycaemia and glucose variability.

Aims: This study investigated the clinical effects of a blood glycaemic control optimization programme (BGCOP) in patients with stress hyperglycaemia post hepatobiliary or pancreatic surgery.

Prevalence of stress hyperglycemia among hepatopancreatobiliary postoperative patients.

Objective: The aim of this study was to determine the prevalence of stress hyperglycemia and its association with mortality among hepatopancreatobiliary postoperative patients admitted.

Methods: Retrospectively analysis was made on 706 cases of the hepatopancreatobiliary postoperative patients from three Grade A hospitals in Hunan province from November 2011 to June 2012, including the incidence and risk factors of patients with stress hyperglycemia.

Results: The incidence of stress hyperglycemia of pancreatic postoperative patients was 34.