ObjectiveTo analyze the trend of disease spectrum and main diagnosis and therapeutic technologies in respiratory intensive care unit (RICU) in recent years, and find out the trend of change of patient’s characteristics and commonly used interventions in order to provide evidence for planning discipline development and improving personnel training program.MethodsPatients information and main diagnosis and therapeutic technologies of 1503 inpatients in RICU of Shenzhen People's Hospital from January, 2017 to December, 2020 were collected. The changes of disease spectrum and diagnosis and treatment technologies in different years were compared and analyzed.ResultsAmong all the patients, 66.3% were directly admitted into RICU, 12.1% were transferred from respiratory department, and 21.6% were transferred from other departments. The proportion of patients with non-respiratory diseases as principal diagnosis had an increasing trend, from 18.8% in 2017 to 37.3% in 2020 (P<0.05). The diseases with most obvious increasing trend were sepsis, nervous system diseases, circulatory system diseases and extra-pulmonary malignancies (P<0.05). The use of respiratory related diagnosis and therapeutic technologies was gradually increasing, meanwhile, the use of non-traditional respiratory related technologies, especially continuous renal replacement therapy, was also increasing. There was no significant difference in fatality rate among different years (P>0.05).ConclusionsThe number of patients with extra-pulmonary diseases and the use of non-traditional respiratory related diagnosis and therapeutic technologies in RICU were increasing. The development of RICU and the allocation of technical personnel needed to be improved accordingly.
ObjectiveTo systematically review the dose-response relationship between body mass index (BMI) and the risk of stroke. MethodsPubMed, EMbase, Web of Science, The Cochrane Library, CBM, VIP, WanFang Data and CNKI databases were electronically searched to collect studies on BMI and the risk of stroke from inception to December 2021. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies; then, meta-analysis was performed by using Stata 16.0 software, and the dose-response relationship between BMI and risk of stroke was analyzed by using restricted cubic spline function and generalized least squares estimation (GLST). ResultsA total of 19 studies involving 3 689 589 patients were included. The results of meta-analysis showed that compared with normal BMI, overweight (RR=1.28, 95%CI 1.19 to 1.39, P<0.01) and obesity (RR=1.41, 95%CI 1.15 to 1.72, P<0.01) had a higher risk of stroke. Dose-response meta-analysis suggested that there was no significant non-linear relationship between BMI and stroke risk (nonlinear test P=0.318), and linear trend showed that the risk of stroke increased by 4% for each unit increase in BMI (RR=1.04, 95%CI 1.03 to 1.05, P<0.01). ConclusionCurrent evidence suggests that increased BMI is associated with an increased risk of stroke. Due to limited quality and quantity of the included studies, more high-quality studies are needed to verify the above conclusion.