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. RESULTS: A linear precipitation-ART association with a delay of 9.01 (95%CI, 7.82-10.20) seconds at median ART for a 1 mm increase in hourly precipitation, and the effects lasted for 5 h with the greatest effect at the current hour. A two linear thresholds temperature-ART association revealed 1 °C decrease below 19 °C caused 1.68 (95%CI, 0.92-2.44) seconds delay in total ART over lag 0-7 h, and 1 °C increase above 24 °C caused 2.44 (95%CI, 1.55-3.33) seconds delay. The hourly call volumes exceeding 54 calls caused 8.79 (95%CI, 8.71-8.86) seconds delay in total ART for 1 more call, but not affected the effects of weather factors. The internal ART suffered more from the hourly call volumes, while the external ART suffered more from precipitation and temperature. The effects were apparently greater on ART at the 90th percentile than median. CONCLUSIONS: Precipitation and temperature are independent risk factors for ambulance services performance, and their lagged effects are notable. The external ART and patients with long ART are vulnerable. More attention should be paid to weather and ART, and these findings may have implications for effective policies to reduce ART to protect public health.

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. A total of 373 schizophrenic patients who received antipsychotic monotherapy with olanzapine (n = 144), risperidone (n = 160), or aripiprazole (n = 69) were selected from a three-year prospective, multicenter study. The follow-up times were 13, 26, 52, 78, 104, 130, and 156 weeks after baseline. A time-efficacy model was developed with nonlinear mixed effect method based on changes in Personal and Social Performance (PSP) score compared with the baseline level. Crucial pharmacodynamic parameters, including maximum efficacy and drug onset time, were used to distinguish the efficacy of the three drugs. We quantified the time course of PSP improvement in patients after treatment with these three antipsychotics: olanzapine, risperidone, and aripiprazole reached an Emax value of 80.3%, 68.2%, and 23.9% at weeks 56.7, 29.2, and 36.8, respectively. General psychotic symptoms, onset frequency, and illness course were identified as significant factors affecting the efficacy of these drugs. The newly constructed models provide an evidence of the benefit of long-term maintenance therapy with atypical antipsychotics in individualized schizophrenia treatment in China.

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). The primary efficacy was evaluated by the decrease of Hamilton Depression Rating Scale (HAM-D17) scores. The secondary measurements of efficacy included Hamilton Anxiety Rating Scale, Montgomery-Asberg Depression Rating Scale, Sheehan Disability Scale, Clinical Global Impressions-Severity, and Clinical Global Impressions-Improvement. The laboratory test abnormity, and observed and self-reported adverse events were all assessed as the measurements of safety and tolerability. RESULTS: Both the agomelatine and paroxetine groups showed significant improvement from baseline to the end point (P < 0.05) without between-group differences (P > 0.05). The mean decrease of HAM-D17 of agomelatine group was not inferior to the paroxetine group over the 8-week treatment (agomelatine 15.26 ± 6.44 vs paroxetine 14.87 ± 5.89, δ = 2.0; µA-µB 95% confidence interval, -1.13 to 1.91). The percentage of responders at the last postbaseline assessment was similar in the 2 groups on both HAM-D17 (agomelatine 66.15% vs paroxetine 63.49%) and Clinical Global Impressions-Improvement (agomelatine 79.09% vs paroxetine 80.36%). The anxiety (Hamilton Anxiety Rating Scale) and sleep symptoms (sleep items of HAM-D17) of the patients were improved significantly in the 2 groups at week 8 without between-group differences (P > 0.05). The incidence of overall adverse events was similar in the 2 groups (agomelatine 49.62% vs paroxetine 56.15%, P > 0.05). The incidence of adverse events in skin and subcutaneous tissue was higher in the paroxetine group than in the agomelatine group (none in agomelatine and 4.62% in paroxetine, P = 0.0144). CONCLUSIONS: Agomelatine showed equivalent antidepressant efficacy to paroxetine in treating MDD patients after 8 weeks of treatment with an acceptable safety.

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. METHODS: Retrospective analysis of trauma incidents attended by Shenzhen Emergency Medical Services (EMS) in 2014. Data were obtained from Shenzhen EMS. Incident distribution was explored using dot and kernel density estimate maps. Clustering was determined using the nearest neighbour index. The type of healthcare facilities which patients were taken to was compared against patients' needs, as assessed using the Field Triage Decision Scheme. RESULTS: There were 49,082 recorded incidents. A total of 3513 were classed as major trauma. Mapping demonstrates that incidents predominantly occurred in the western part of Shenzhen, with identifiable clusters. Nearest neighbour index was 0.048. Of patients deemed to have suffered major trauma, 8.5% were taken to a teaching hospital, 13.6% to a regional hospital, 42.6% to a community hospital, and 35.3% to a private hospital. The proportions of Step 1 or 2 negative patients were almost identical. CONCLUSION: The majority of trauma patients, including trauma patients who are at greater likelihood of severe injury, are taken to regional and community hospitals. There are areas with identifiable concentrations of volume, which should be considered for the siting of high-level trauma centres, although further modelling is required to make firm recommendations.

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. A time-stratified case-crossover design with conditional Poisson regression was performed to fit the relationship between hourly air pollution and AECOs. The distributed lag model was applied to determine lag structure of the effects of air pollutants. There were a total of 502,862 AECOs during the study period. The significant detrimental effects of SO2, PM2.5, and PM10 appeared immediately with a following harvesting effect after 5 h and the effects lasted for about 96 h. The cumulative effect estimates of four pollutants over 0-96 h were 13.99% (95% CI 7.52-20.85%), 2.07% (95% CI 0.72-3.43%), 1.20% (95% CI 0.54-1.87%), and 2.46% (95% CI 1.63-3.29%), respectively. We did not observe significant effects of O3. This population-based study quantifies the adverse effects of air pollution on ambulance dispatches and provides evidence of the lag structure of the effects on an hourly time scale.

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. METHODS: Using ambulance records on RTC during 2010-2016 for the whole population in Shenzhen, China, we conducted a time-stratified case-crossover design which can inherently control for hour of the day, day of the week, seasonality, time trends and potential time-invariant confounders. Conditional quasi-Poisson regression with distributed lag nonlinear model was used to determine the effects of hourly precipitation and temperature on RTC. RESULTS: Light and heavy precipitation increased RTC in current and following 2 h by 8.09% (95% CI: 4.20-12.12%) and 11.62% (95% CI: 5.93-17.62%), respectively. A J-shaped temperature-RTC curve revealed that each 1 °C increment above 17 °C were associated with a 0.87% (0.52-1.22%) increase in RTC. High temperature accounted for 6.44% (95% CI: 3.95-8.91%) of all RTC, with a high fraction of 10.64% (95% CI: 4.33-15.96%) during warm season and 8.30% (95% CI: 4.26-12.66%) in traffic peak hours. Precipitation contributed to 0.68% (95% CI: 0.44-0.92%) of RTC within 3 h. The middle-aged and female suffered more from precipitation-associated RTC, and the younger suffered more from high temperature-associated RTC. CONCLUSIONS: High temperature increased substantially hourly RTC. Precipitation was also a risk factor of RTC and the adverse effect lasted for 3 h. The findings would be helpful to guide the development of targeted intervention to accelerate progress in road traffic safety.

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. A U-shaped relationship was found between temperature and AECOs. Cold effects were delayed and persisted for 3-4 weeks, with a cumulative relative risk (RR) and 95% confidence interval (CI) of 1.23 (1.10-1.38) and 1.25 (1.16-1.35) over lag 0-28 when comparing the 1st and 5th percentile of the temperature distribution to the optimal (i.e. minimum AECOs) temperature, respectively. Hot effects were immediate and diminished quickly in 5 days, with an increase of 19% (RR = 1.19, 95%CI: 1.14-1.23) and 21% (RR = 1.21, 95%CI: 1.16-1.26) in AECOs over lag 0-5 when comparing the 95th and 99th percentile of temperature to the optimal temperature. Children and the elderly were more vulnerable to cold effects. The youth and middle-aged people suffered more from high temperature. The effects of temperature were similar between males and females. In summary, significant increases were observed in the frequency of AECOs during cold and hot days, and the weather-associated increases in AECOs are different among age groups. This information has valuable implications in ambulance demand prediction and service provision planning.

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. UPLC-MS based metabonomic analysis was performed on both case and control groups to identify biomarkers of schizophrenia at baseline and to explore which biomarkers correlated with the therapeutic effect of olanzapine after a 4-week treatment. Compared with the control group, the case group showed significant changes in plasma metabolites. Thirteen distinct metabolites were identified. Among all the therapeutically effective cases, levels of these metabolites appeared to shift towards the normal trend; 8 of the identified 13 metabolites changed dramatically. The metabolites that we found are potential biomarkers for the diagnosis and treatment of schizophrenia.

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. User space model was also utilized to discover the relationship between high-level and low-level features for assigning weight. The authors proposed improved Bayesian algorithm for data mining. Experiment proved that the authors' proposed algorithm was efficient.

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. Both the sonographer and assessor were experienced in obstetric ultrasound and blinded to the type of transducers being used. A higher score represented better image quality. The scores of each pair of images obtained by the two different ultrasound transducers were compared. RESULTS: The scores for images obtained by the PureWave Crystal transducer were significant higher than those by a conventional transducer, among all 10 structures examined. The new transducer was rated to enable higher diagnostic confidence (82.9%), and produced better image quality for the near field image (94.3%), the far field image (88.6%) and overall (94.3%). CONCLUSIONS: Ultrasound transducer incorporating the PureWave Crystal technology produces significantly better image quality for diagnostic purpose in difficult obstetric patients.