Effects of hourly levels of ambient air pollution on ambulance emergency call-outs in Shenzhen, China.

Some researches have shown the associations between air pollution and hospital-based emergency department visits, while the evidence about the acute effects of air pollution on emergency ambulance dispatches for the whole population is rarely available, especially on an hourly time scale. This paper aimed to investigate the effects of hourly concentrations of ambient air pollution on hourly number of ambulance emergency call-outs (AECOs) in Shenzhen, China. AECO data were collected from Shenzhen Emergency Center from January 2013 to December 2016.

Effects of hourly precipitation and temperature on road traffic casualties in Shenzhen, China (2010-2016): A time-stratified case-crossover study.

Background: Although road traffic casualty (RTC) is preventable, it remains the eighth leading cause of death globally, especially in developing countries. Previous studies suggested the association between RTC and monthly or daily weather conditions, while the acute effects of weather conditions on an hourly timescale remains unknown. This study aims to quantify hourly effects of precipitation and temperature on RTC.

Effects of hourly precipitation and temperature on ambulance response time.

Background: Longer ambulance response time (ART) delaying treatment would worsen conditions of seriously ill or injured patients, but limited evidence is available on the effects of weather factors on ART. This study aims to assess precipitation- and temperature-ART associations and their potential lagged effects using a novel modeling strategy.

Methods: Based on 779,156 emergency records during 2010-2016 from the whole population in Shenzhen, China, we creatively combined quantile regression with distributed-lag nonlinear models to examine the non-linear and lagged effects of hourly precipitation and temperature on ART at the 50th and 90th percentiles.

Quantitative efficacy of three antipsychotic drugs for schizophrenia based on a real-world study in China.

Atypical antipsychotics exert remarkable long-term efficacy on the personal and social functions of schizophrenic patients. However, quantitative information on the social function of schizophrenic patients treated with atypical antipsychotics is scarce in the current clinical guidelines. In this study, we established pharmacodynamic models to quantify the time-efficacy relationship of three antipsychotic drugs based on the data from a real-world study conducted in China.

Effects of ambient temperature on ambulance emergency call-outs in the subtropical city of Shenzhen, China.

The associations between meteorological factors and mortality have been well documented worldwide, but limited evidence is available for the non-fatal health impacts of ambient temperature, particularly there are few population-based investigations on the impacts of emergency ambulance dispatches in Asia. In this study, based on 809,906 ambulance emergency call-outs (AECOs) for the total population from 2010-2016 in the subtropical city of Shenzhen, China, a Poisson regression combined with a distributed lag nonlinear model was used to simultaneously assess the nonlinear and lag effects of daily mean temperature on AECOs. Stratified analyses by age and sex were performed to identify vulnerable subpopulations.

Efficacy and Safety of Agomelatine vs Paroxetine Hydrochloride in Chinese Han Patients with Major Depressive Disorder: A Multicentre, Double-Blind, Noninferiority, Randomized Controlled Trial.

Purpose: The purpose of this study is to investigate the efficacy, safety, and tolerability of agomelatine and paroxetine in Chinese Han patients with major depressive disorder (MDD).

Methods: A 8-week, double-blind, randomized, parallel study was conducted in 14 medical centers in mainland China from December 2011 to September 2012. A total of 264 subjects with a primary Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition diagnosis of MDD were randomly assigned to receive agomelatine 25-50 mg/d (n = 132) or paroxetine 20-40 mg/d (n = 132).

An Exploratory Analysis of the Geographical Distribution of Trauma Incidents in Shenzhen, China.

Background: The city of Shenzhen, China, is planning to establish a trauma system. At present, there are few data on the geographical distribution of incidents, which is key to deciding on the location of trauma centres. The aim of this study was to perform a geographical analysis in order to inform the development of a trauma system in Shenzhen.

Plasma metabonomics study of first-Episode schizophrenia treated with olanzapine in female patients.

Schizophrenia is a persistent chronic mental illness with an unknown pathogenic mechanism; no empirical laboratory-based tests are available to support the diagnosis of schizophrenia or to identify biomarkers correlated with the therapeutic effect of olanzapine. For this study, 15 female first-episode, drug-naïve patients with schizophrenia and 15 healthy female volunteers were recruited. Tests for blood glucose and lipids were conducted at baseline and after 4 weeks of treatment with olanzapine.

Overview of the shenzhen emergency medical service call pattern.

Background: In Shenzhen, the Emergency Medical Service (EMS) system has been in service since 1997. This study aims to examine the operation of Shenzhen 120 EMS center and to identify the reasons of calling EMS.

Methods: In this retrospective quantitative descriptive study, the data from the Shenzhen 120 EMS registry in 2011 were analyzed.

Comparison of conventional and PureWave Crystal transducer in obstetric sonography.

Objective: To compare the quality of ultrasound images acquired by the new PureWave Crystal transducer with those acquired by a conventional transducer in 'difficult' obstetric subjects.

Methods: A predefined list of ultrasound images were obtained from 35 'difficult' obstetric patients using both conventional and new PureWave Crystal transducers by a sonographer. All images were rated using a three-point scale by an independent assessor.

Web multimedia information retrieval using improved Bayesian algorithm.

The main thrust of this paper is application of a novel data mining approach on the log of user's feedback to improve web multimedia information retrieval performance. A user space model was constructed based on data mining, and then integrated into the original information space model to improve the accuracy of the new information space model. It can remove clutter and irrelevant text information and help to eliminate mismatch between the page author's expression and the user's understanding and expectation.