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find Keyword "Detection rate" 4 results
  • Analysis on multidrug-resistant organisms monitoring between 2013 and 2015 in a high-rank comprehensive hospital

    Objective To investigate the detection of multidrug-resistant organisms (MDRO) by targeted monitoring in a tertiary hospital, and to understand the distribution of MDRO. Methods We retrospectively analyzed the detection and distribution of methicillin-resistantStaphylococcus aureus (MRSA), carbon black alkeneAcinetobacter baumannii (CRABA), carbapenem-resistantPseudomonas aeruginosa (CRPAE), vancomycin-resistantEnterococci (VRE) and carbapenem-resistantEnterobacter (CRE) in clinical samples collected from 2013 to 2015. Results A total of 990 multidrug-resistant bacteria strains were isolated from 2013 to 2015, of which 445 were MRSA (44.95%), 328 were CRABA (33.13%), 99 were CRPAE (10.00%), 12 were VRE (1.21%), and 106 were CRE (10.71%). They were mainly distributed in the Department of Burn, Comprehensive ICU, Department of Neurosurgery, Department of Respiratory Medicine and Department of Orthopedic Surgery. The detection rates of multidrug-resistant organisms of 2013-2015 were 10.85% (352/3 244), 9.20% (304/3 303), and 7.11% (334/4 699) respectively, which reduced year by year with significant difference (χ2= 34.42,P< 0.001). The detection rates of CRPAE, CRE and VRE all reduced with significant differences (P< 0.05). Conclusions The detection rate of multidrug-resistant organisms under targeted monitoring shows an obvious downward trend. MRSA and CRABA are still the major MDROs, which show no obvious change. The detection rates of CRPAE, VRE and CRE show obvious downward trend. Department of Burn, Comprehensive ICU, Department of Neurosurgery, Department of Respiratory Medicine and Department of Orthopedic Surgery have the highest risks of MDRO. In the future, we should strengthen the monitoring of high-risk departments, and focus on the reasonable choice of special antimicrobial agents to avoid special MDROs.

    Release date:2017-03-27 11:42 Export PDF Favorites Scan
  • The detection rate of maternal postpartum depression in China: a meta-analysis

    ObjectiveTo systematically evaluate the detection rate of postpartum depression in Chinese maternal population and to provide a scientific basis for the prevention and treatment of postpartum depression.MethodsWe searched CNKI, WanFang Data, VIP, PubMed, EMbase and The Cochrane Library databases to collect studies on the detection rate of postpartum depression in Chinese maternal population from January, 2001 to August, 2019. Two reviewers independently screened literature, extracted data and evaluated the risk of bias of included studies. Meta-analysis was performed using Stata15.0 software.ResultsA total of 24 studies involving 38 357 cases were included. Meta-analysis results showed that the total detection of postpartum depression in Chinese females was 15% (95% CI 12% to 17%). Subgroup analysis showed that the detection of postpartum depression was 12.3% (95% CI 9.3% to 15.2%) in the south and 17.3% (95%CI 12.1% to 22.5%) in the north. According to the Edinburgh postpartum depression scale, the rate was 14.5% (95%CI 11.4% to 17.5%); and for other scales, the rate was 15.0% (95% CI 8.9% to 21.2%); simple random sampling method was 14.8% (95%CI 11.0% to 18.7%), and cluster sampling was 16.3% (95%CI 12.0% to 20.5%). The rate was 15.8% (95%CI 9.3% to 22.3%) from 2001 to 2010, 13.5% (95%CI 7.7% to 19.2%) from 2011 to 2014, and 14.8% (95%CI 10.9% to 18.6%) from 2015 to 2019. Sensitivity analysis showed that the combined results were stable.ConclusionsThe detection rate of postpartum depression in Chinese maternal population is high, and early screening and related intervention should be paid more attention to these population.

    Release date:2020-01-14 05:25 Export PDF Favorites Scan
  • The detection rate of depression in Chinese with type 2 diabetes mellitus: a meta-analysis

    ObjectivesTo systematically review the detection rate of depression in Chinese individuals with type 2 diabetes mellitus (T2DM).MethodsPubMed, EMbase, The Cochrane Library, CBM, CNKI, WanFang Data and VIP databases were electronically searched to collect observational studies on the detection rate of depression in Chinese with T2DM from inception to January, 2019. Two reviewers independently screened literature, extracted data and evaluated the quality of included studies. Meta-analysis was performed by R 3.6.1 software.ResultsA total of 29 studies involving 96 557 cases were included. Meta-analysis results showed that the total detection rate of depression in Chinese with T2DM was 27% (95%CI 24% to 30%). Subgroup analysis showed that the detection rate of depression in female was 32% (95%CI 20% to 45%), and in male was 26% (95%CI 18% to 37%). The detection rate of depression in rural areas was 36% (95%CI 18% to 54%), and in urban areas was 30% (95%CI 16% to 43%). The detection rate of depression in individuals aged 60 and above was 31% (95%CI 24% to 39%), and in individuals aged less than 60 was 23% (95%CI 10% to 36%). Individuals with a primary school education and below, a middle or high school education and college degree and above education had detection rate of 31%, 23% and 22%, respectively. Individuals with diabetes duration less than 5 years, 5 to 10 years and more than 10 years had detection rates of 23%, 25% and 30%, respectively. Individuals with and without complications had detection rates of 43% and 26%, respectively. The detection rates of mild and moderate to major depression were 20% and 10%, respectively.ConclusionsThe detection rate of depression in Chinese with T2DM is high. Due to limited quality and quantity of the included studies, more high quality studies are required to verify above conclusion.

    Release date:2020-09-21 04:26 Export PDF Favorites Scan
  • The detection rate of cognitive impairment in Chinese patients with type 2 diabetes mellitus: a meta-analysis

    ObjectiveTo systematically review the detection rate of cognitive impairment in Chinese patients with type 2 diabetes mellitus (T2DM).MethodsPubMed, EMbase, The Cochrane Library, CBM, CNKI, WanFang Data and VIP databases were searched to collect studies on the detection rate of cognitive impairment in Chinese patients with T2DM from inception to January 20th, 2021. Two reviewers independently screened literature, extracted data and evaluated the risk of bias of included studies. Meta-analysis was then performed using Stata 12.0 software.ResultsA total of 27 studies involving 7 920 cases were included. Meta-analysis results showed that the total detection rate of cognitive impairment in Chinese patients with T2DM was 43.2% (95%CI 36.9% to 49.6%). The results of subgroup analysis showed that in T2DM patients, the detection rate of cognitive impairment in males was 42.4% (95%CI 34.4% to 50.4%), and that in females was 48.2% (95%CI 40.9% to 55.6%). The detection rate of cognitive impairment was 25.4% (95%CI 14.7% to 36.0%) in patients under the age of 60 years, and 47.0% (95%CI 30.0% to 64.0%) in patients aged 60 years or above. The detection rate of cognitive impairment among those with primary school education level or below was 67.1% (95%CI 48.9% to 85.3%). The detection rate of cognitive impairment was 37.1% (95%CI 27.3% to 46.8%) among those with education level of junior high school or above. The detection rate of cognitive impairment in patients with disease duration less than 10 years was 28.4% (95%CI 16.0% to 40.9%) and that in patients with disease duration more than 10 years was 50.6% (95%CI 33.2% to 68.0%). The detection rate of cognitive impairment in married individuals was 45.6% (95%CI 35.8% to 55.4%) and that in singles was 68.1% (95%CI 57.5% to 78.7%). The detection rate of cognitive impairment in smokers was 38.9% (95%CI 30.7% to 47.2%) and in non-smokers was 40.9% (95%CI 32.1% to 49.6%). The detection rate of cognitive impairment in drinkers was 35.6% (95%CI 27.3% to 44.0%) and that in non-drinkers was 41.8% (95%CI 32.2% to 51.4%).ConclusionsThe detection rate of cognitive impairment in Chinese patients with T2DM is high. Due to the quantity and quality of included studies, more high-quality studies are needed to verify the above conclusions.

    Release date:2021-07-22 06:20 Export PDF Favorites Scan
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