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目的分析全球产肺炎克雷伯菌碳青霉烯酶(KPC)的肺炎克雷伯菌的序列分型数据,探讨KPC-2、KPC-3与主要流行克隆之间的关系。方法从NCBI中下载全球肺炎克雷伯菌的基因组,分析KPC的分布情况。对产KPC肺炎克雷伯菌基因组进行多位点序列分析,确定其序列分型(sequence type, ST)。分析KPC在不同克隆菌株中的分布情况,以及在主要流行克隆ST11、ST258及ST512中KPC变异体KPC-2和KPC-3的流行率差异。结果全球肺炎克雷伯菌的基因组中产KPC 1 943株,有KPC变异体14种,以KPC-2(959/1 943,49.4%)和KPC-3(952/1 943,49.0%)为主;有115种ST型,以ST258(996/1 943,51.3%)、ST11(285/1 943,14.7%)和ST512(259/1 943,13.3%)为主。959株KPC-2菌株分布在87种ST中,以ST258(413/959,43.1%)和ST11(274/959,28.6%)为主;952株KPC-3菌株分布在45种ST中,以ST258(570/952,59.9%)和ST512 (259/952,27.2%)为主。KPC-2在ST11菌株中的流行率(274/285,96.1%)显著高于在ST258中的流行率(414/996,41.6%),差异有统计学意义(χ~2=43.819,P=0.000);KPC-3在ST512中的流行率(259/259,100%)显著高于在ST258中的流行率(570/996,57.2%),差异有统计学意义(χ~2=206.645,P=0.000)。结论从全球范围来看,KPC的流行以KPC-2和KPC-3为主,KPC-2的流行克隆菌株以ST11和ST258为主,KPC-3的流行克隆菌株以ST258和ST512为主,加强该类细菌的监测对于预防院内感染控制具有重要作用。  相似文献   

3.
The widespread use of antibiotics has resulted in a growing problem of antimicrobial resistance in the community and hospital settings. Antimicrobial classes for which resistance has become a major problem include the β-lactams, the glycopeptides, and the fluoroquinolones. In gram-positive bacteria, β-lactam resistance most commonly results from expression of intrinsic low-affinity penicillin-binding proteins. In gram-negative bacteria, expression of acquired β-lactamases presents a particular challenge owing to some natural spectra that include virtually all β-lactam classes. Glycopeptide resistance has been largely restricted to nosocomial Enterococcus faecium strains, the spread of which is promoted by ineffective infection control mechanisms for fecal organisms and the widespread use of colonization-promoting antimicrobials (especially cephalosporins and antianaerobic antibiotics). Fluoroquinolone resistance in community-associated strains of Escherichia coli, many of which also express β-lactamases that confer cephalosporin resistance, is increasingly prevalent. Economic and regulatory forces have served to discourage large pharmaceutical companies from developing new antibiotics, suggesting that the antibiotics currently on the market may be all that will be available for the coming decade. As such, it is critical that we devise, test, and implement antimicrobial stewardship strategies that are effective at constraining and, ideally, reducing resistance in human pathogenic bacteria.  相似文献   

4.
Forty-seven extended-spectrum-β-lactamase-positive Klebsiella pneumoniae urinary tract isolates from nonhospitalized patients were identified, and 79% harbored KPC and/or CTX-M β-lactamases. Approximately 90% of the isolates were resistant to trimethoprim-sulfamethoxazole and levofloxacin, and 40% were resistant to a carbapenem, while 92% were susceptible to polymyxin B, 87% were susceptible to tigecycline, and 79% were susceptible to fosfomycin. Increased use of broader-spectrum antibiotics may help to prevent their dissemination and reduce the risk of progression to invasive disease.  相似文献   

5.
KPC型β-内酰胺酶研究进展   总被引:2,自引:0,他引:2  
KPC型β-内酰胺酶属于Ambler分类的A类、Bush分类的2f亚群,其特点是水解除头霉素类以外的几乎所有β-内酰胺类抗生素,包括青霉素类、头孢菌素类、单酰胺类和碳青霉烯类。其活性可被克拉维酸所抑制。由于产KPC酶菌株可能仅对碳青霉烯类灵敏度减低,尚达不到完全耐药的水平;产KPC菌株应用ESBLs确证试验检测可能阳性,很容易错误地鉴定为ESBLs菌株;以及产KPC菌株接种效应的存在,显著影响亚胺培南的MIC,这些因素都给实验室检测带来很多困难。尽管产KPC酶菌株较少且仅分布于少数国家,但其水解底物谱的广泛性和质粒介导的可传播性,必将给临床抗感染治疗带来威胁。因此,应引起临床医师和实验室的高度重视。  相似文献   

6.
碳青霉烯类抗生素包括亚胺培南、美罗培南和厄他培南等是治疗肠杆菌科细菌尤其是产超广谱β内酰胺酶(ESBLs)及AmpC酶等多重耐药菌株引起感染的最有效的抗菌药物[1].然而,随着碳青霉烯类抗生素耐药肠杆菌科细菌(carbapenem-resistant Enterobacteriaceae,CRE)的出现及不断增多,该类药物的临床应用受到严峻的挑战.  相似文献   

7.
Pediatric headache is a common health problem in children, with a significant headache reported in more than 75% by the age of 15 years. Pediatric migraine occurs in up to 10.6% of children between the ages of 5 and 15 years and in up to 28% of adolescents between the ages of 15 and 19 years. Given this high frequency, the impact of this disease on the lives of these children and their parents can be quite significant. This impact can be assessed with disease-specific disability and impairment as well as disease non-specific effects on quality of life. The goal of evaluation should be recognition of this impact, whereas the goal of management should be effective treatment that minimizes the impact of this disorder in the short term and for the life of the patient.  相似文献   

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Class D β-lactamase-mediated resistance to β-lactams has been increasingly reported during the last decade. Those enzymes also known as oxacillinases or OXAs are widely distributed among Gram negatives. Genes encoding class D β-lactamases are known to be intrinsic in many Gram-negative rods, including Acinetobacter baumannii and Pseudomonas aeruginosa, but play a minor role in natural resistance phenotypes. The OXAs (ca. 150 variants reported so far) are characterized by an important genetic diversity and a great heterogeneity in terms of β-lactam hydrolysis spectrum. The acquired OXAs possess either a narrow spectrum or an expanded spectrum of hydrolysis, including carbapenems in several instances. Acquired class D β-lactamase genes are mostly associated to class 1 integron or to insertion sequences.Class D β-lactamases, also known as oxacillinases or OXA-type β-lactamases (OXAs), are active-serine-site enzymes like Ambler class A and class C β-lactamases, differing from class A and C enzymes in amino acid structure, whereas class B β-lactamases are metalloenzymes with a Zn2+ ion(s) in the active site (4, 71, 78). Even though class D includes mostly enzymes with higher hydrolysis rates for cloxacillin and oxacillin than for benzylpenicillin (hence the name oxacillinases), not all class D β-lactamases have this characteristic. Most of the class D enzymes belong to group 2d of the Bush functional classification scheme for β-lactamases (23). Among the four β-lactamase molecular classes, class D β-lactamases are the most diverse enzymes (107). This diversity is observed at both the genetic and biochemical levels, with enzymes possessing either a narrow or expanded spectrum of hydrolysis. In addition, several class D β-lactamases have an expanded spectrum of activity resulting from point mutations.Although many class D β-lactamase genes are embedded into class 1 integrons, recent reports indicated that other specific genetic structures, including insertion sequences and transposons, may be associated with class D β-lactamase genes. Numerous class D β-lactamase genes have been identified as a source of acquired resistance in gram-negative bacteria, but recent studies have shown that class D β-lactamases are also naturally produced in clinically significant pathogens and environmental species (107).This review focuses on the diversity and substrate profiles of class D β-lactamases, their sources, and the genetics of acquisition of the corresponding genes. All the class D β-lactamases for which a sequence is available in the GenBank databases are listed in Table Table11.

TABLE 1.

Features of oxacillinases
NameaAlternate nameOXA groupTypeOriginal hostA or NbAssociated mobile element
Gene GC content (%)Isoelectric pointd
GenBank accession no.eReferencef
Transposon or insertion sequenceIntegroncExptlTheoretical
OXA-1OXA-30Narrow spectrumE. coliATn2603+34.47.47.7J02967113
OXA-2OXA-2Narrow spectrumS. TyphimuriumA+507.79.1X0726097
OXA-3OXA-2Narrow spectrumK. pneumoniaeATn1411+507.18.1L07945142
OXA-4OXA-35Narrow spectrumE. coliATn1409+7.5AY162283142
OXA-5Narrow spectrumP. aeruginosaATn1406+40.27.68.4X5827232
OXA-6Narrow spectrumP. aeruginosaA7.7UP
OXA-7OXA-10Narrow spectrumE. coliA+40.67.79.3X75562145
OXA-8
OXA-9Narrow spectrumK. pneumoniaeATn1331+49.56.97.1M55547155
LCR-1Narrow spectrumP. aeruginosaATn1412526.57.1X5680932
OXA-10Narrow spectrumP. aeruginosaATn1404+42.16.17.0U3710570
OXA-11OXA-10ES-OXAP. aeruginosaA+426.46.3Z2259060
OXA-12Narrow spectrumA. jandaeiN62.38.68.4U10251139
AmpSNarrow spectrumA. hydrophilaN637.97.1X80276165
OXA-13OXA-10Narrow spectrumP. aeruginosaA+41.28.08.7U5918399
OXA-14OXA-10ES-OXAP. aeruginosaA+42.16.26.3L3852338
OXA-15OXA-2ES-OXAP. aeruginosaA+508.79.3U6383536
OXA-16OXA-10ES-OXAP. aeruginosaA+42.16.26.3AF04310039
OXA-17OXA-10ES-OXAP. aeruginosaA+42.16.17.0AF06020637
OXA-18ES-OXAP. aeruginosaAISCR1961.25.55.9U85514118
OXA-19OXA-13ES-OXAP. aeruginosaA+41.27.68.4AF04338198
OXA-20Narrow spectrumP. aeruginosaA+45.17.49.0AF024602108
OXA-21OXA-3Narrow spectrumA. baumanniiA+50.17.08.1Y10693162
OXA-22Narrow spectrumR. pickettiiN65.57.06.4AF064820112
OXA-23CHDLA. baumanniiATn2006/Tn2007386.77.0AJ13210542
OXA-24OXA-40CHDLA. baumanniiA34.48.69.0AJ23912919
OXA-25OXA-40CHDLA. baumanniiA34.48.08.5AF2018261
OXA-26OXA-40CHDLA. baumanniiA34.47.99.0AF2018271
OXA-27OXA-23CHDLA. baumanniiA386.88.0AF2018281
OXA-28OXA-13ES-OXAP. aeruginosaA+41.28.18.7AF231133125
OXA-29Narrow spectrumL. gormaniiN36.69.09.4AJ40061949
OXA-30OXA-1Narrow spectrumE. coliA+34.47.36.8AF255921148
OXA-31OXA-1ES-OXAP. aeruginosaA+34.47.56.8AF2946539
OXA-32OXA-2ES-OXAP. aeruginosaA+507.79.0AF315351124
OXA-33OXA-40CHDLA. baumanniiA34.48.69.0AY008291
OXA-34OXA-2ES-OXAP. aeruginosaA+508.9AF350424UP
OXA-35OXA-10ES-OXAP. aeruginosaA+41.28.08.7AF3157868
OXA-36OXA-2ES-OXAP. aeruginosaA+49.49.2AF300985UP
OXA-37OXA-20Narrow spectrumA. baumanniiA+44.87.48.9AY007784109
OXA-38
OXA-39
OXA-40CHDLA. baumanniiA34.48.69.0AF50924165
OXA-41
OXA-42Narrow spectrumB. pseudomalleiN66.39.29.3AJ488302111
OXA-43Narrow spectrumB. pseudomalleiN65.99.29.3AJ488303111
OXA-44
OXA-45ES-OXAP. aeruginosaAISCR561.88.89.4AJ519683153
OXA-46Narrow spectrumP. aeruginosaA+47.17.88.7AF31751157
OXA-47OXA-1Narrow spectrumK. pneumoniaeA+34.17.46.8AY237830127
OXA-48CHDLK. pneumoniaeATn199944.57.28.0AY236073127
OXA-49OXA-23CHDLA. baumanniiA386.0AY288523UP
OXA-50Narrow spectrumP. aeruginosaN64.88.69.0AY30613054
OXA-51OXA-Ab1CHDLA. baumanniiA39.37.08.0AJ30973422
OXA-52
OXA-53OXA-2ES-OXAS. AgonaA+50.26.97.2AY289608103
OXA-54CHDLS. oneidensisN46.66.86.7AY500137126
OXA-55CHDLS. algaeN53.88.68.6AY34349368
OXA-56Narrow spectrumP. aeruginosaA+40.76.58.7AY44508025
OXA-57Narrow spectrumB. pseudomalleiN669.3AJ63196673
OXA-58CHDLA. baumanniiA37.47.27.2AY665723130
OXA-59Narrow spectrumB. pseudomalleiN65.99.3AJ63224973
OXA-60Narrow spectrumR. pickettiiN64.95.15.4AF52530355
OXA-61Narrow spectrumC. jejuniN27.49.1AY5879562
OXA-62CHDLP. pnomenusaN65.3>9.09.5AY423074144
OXA-63Narrow spectrumB. pilosicoliN24.96.0AY61900394
OXA-64OXA-Ab2OXA-51CHDLA. baumanniiN39.68.0AY75090721
OXA-65OXA-Ab3OXA-51CHDLA. baumanniiN39.28.8AY75090821
OXA-66OXA-Ab4OXA-51CHDLA. baumanniiN39.49.0AY75090921
OXA-67OXA-Ab5OXA-51CHDLA. baumanniiN398.0DQ491200UP
OXA-68OXA-Ab6OXA-51CHDLA. baumanniiN397.1AY75091021
OXA-69OXA-Ab7OXA-51CHDLA. baumanniiN39.38.48.6AY75091166
OXA-70OXA-Ab8OXA-51CHDLA. baumanniiN39.39.0AY75091221
OXA-71OXA-Ab9OXA-51CHDLA. baumanniiN39.78.0AY75091321
OXA-72OXA-40CHDLA. baumanniiA36.48.8EF534256166
OXA-73OXA-23CHDLK. pneumoniaeA37.68.0AY762325UP
OXA-74OXA-10UnknownP. aeruginosaA41.96.57.0AJ85418246
OXA-75OXA-Ab10OXA-51CHDLA. baumanniiN38.78.6AY85952966
OXA-76OXA-Ab11OXA-51CHDLA. baumanniiN39.39.2AY94920366
OXA-77OXA-Ab12OXA-51CHDLA. baumanniiN39.28.6AY94920266
OXA-78OXA-Ab13OXA-51CHDLA. baumanniiN39.28.9AY862132UP
OXA-79OXA-Ab14OXA-51CHDLA. baumanniiN39.59.0EU01953447
OXA-80OXA-Ab15OXA-51CHDLA. baumanniiN39.39.0EU01953547
OXA-81
OXA-82OXA-Ab16OXA-51CHDLA. baumanniiN39.49.0EU019536158
OXA-83OXA-Ab17OXA-51CHDLA. baumanniiN39.59.0DQ309277158
OXA-84OXA-Ab18OXA-51CHDLA. baumanniiN39.49.0DQ309276158
OXA-85Narrow spectrumF. nucleatumN24.65.36.1AY227054164
OXA-86OXA-Ab19OXA-51CHDLA. baumanniiN38.88.0DQ149247159
OXA-87OXA-Ab20OXA-51CHDLA. baumanniiN38.98.0DQ348075159
OXA-88OXA-Ab21OXA-51CHDLA. baumanniiN39.29.2DQ39296375
OXA-89OXA-Ab22OXA-51CHDLA. baumanniiN38.47.08.6DQ44568394
OXA-90OXA-Ab23OXA-51CHDLA. baumanniiN39.28.6EU433382UP
OXA-91OXA-Ab24OXA-51CHDLA. baumanniiN398.0DQ51908375
OXA-92OXA-Ab25OXA-51CHDLA. baumanniiN39.38.6DQ335566156
OXA-93OXA-Ab26OXA-51CHDLA. baumanniiN39.38.0DQ51908775
OXA-94OXA-Ab27OXA-51CHDLA. baumanniiN39.38.9DQ51908875
OXA-95OXA-Ab28OXA-51CHDLA. baumanniiN39.58.6DQ51908975
OXA-96OXA-58CHDLA. baumanniiA37.57.2DQ51909075
OXA-97OXA-58CHDLA. baumanniiA37.87.2EF102240129
OXA-98OXA-Ab29OXA-51CHDLA. baumanniiN39.28.6AM279652UP
OXA-99OXA-Ab30OXA-51CHDLA. baumanniiN39.48.0DQ888718UP
OXA-100
OXA-101OXA-10UnknownC. freundiiA+40.78.8AM412777UP
OXA-102OXA-23CHDLA. radioresistensN385.8Unknown123
OXA-103OXA-23CHDLA. radioresistensN385.8Unknown123
OXA-104OXA-Ab31OXA-51CHDLA. baumanniiN39.38.6EF58128547
OXA-105OXA-23CHDLA. radioresistensN387.0UnknownUP
OXA-106OXA-Ab32OXA-51CHDLA. baumanniiN39.38.9EF65003247
OXA-107OXA-Ab33OXA-51CHDLA. baumanniiN39.38.6EF65003347
OXA-108OXA-Ab34OXA-51CHDLA. baumanniiN398.5EF65003447
OXA-109OXA-Ab35OXA-51CHDLA. baumanniiN39.39.0EF65003547
OXA-110OXA-Ab36OXA-51CHDLA. baumanniiN39.38.6EF65003647
OXA-111OXA-Ab37OXA-51CHDLA. baumanniiN39.47.1EF65003747
OXA-112OXA-Ab38OXA-51CHDLA. baumanniiN39.48.6EF65003847
OXA-113OXA-Ab39OXA-51CHDLA. baumanniiN39.38.0EF653400106
OXA-114Narrow spectrumA. xylosoxidansN70.48.69.0EU18884241
OXA-115OXA-Ab40OXA-51CHDLA. baumanniiN39.39.0EU029998UP
OXA-116OXA-Ab41OXA-51A. baumanniiN39.38.6EU220744UP
OXA-117OXA-Ab42OXA-51A. baumanniiN39.28.6EU220745UP
OXA-118Narrow spectrumB. cepaciaA+49.37.3AF37196433
OXA-119Narrow spectrumUncultured bacteriumA+49.46.7AY139598150
OXA-120
OXA-121
OXA-122
OXA-123
OXA-124
OXA-125
OXA-126
OXA-127
OXA-128OXA-10CHDLA. baumanniiN+39.18.0EU37551552a
OXA-129OXA-Ab43OXA-5UnknownS. BredeneyA+39.99.1AM93266995
OXA-130OXA-Ab44OXA-51A. baumanniiN39.18.5EU547445UP
OXA-131OXA-Ab45OXA-51A. baumanniiN39.49.0EU547446UP
OXA-132OXA-Ab46OXA-51A. baumanniiN39.38.0EU547447UP
OXA-133OXA-23CHDLA. radioresistensN39.36.1EU571228123
OXA-134CHDLA. lwoffiiN46.25.3UP
OXA-135
OXA-136OXA-63Narrow spectrumB. pilosicoliN25.15.3EU08683096
OXA-137OXA-63Narrow spectrumB. pilosicoliN24.95.7EU08683496
OXA-138
OXA-139
OXA-140
OXA-141OXA-2ES-OXAP. aeruginosaA+49.99.1EF552405UP
OXA-142OXA-10ES-OXAP. aeruginosaA+426.3EU358785UP
OXA-143CHDLA. baumanniiA34.48.7UP
OXA-144
OXA-145OXA-10ES-OXAP. aeruginosaA+41.18.7FJ790516UP
OXA-146
OXA-147OXA-10ES-OXAP. aeruginosaA418.1FJ848783UP
Open in a separate windowaThe nomenclature is in accordance with that provided by G. Jacoby on the Lahey website (http://www.lahey.org/Studies/other.asp#table1). Lacking variants (in boldface) are those for which a number has been assigned on this website but for which no information is yet available.bA, acquired; N, natural.c+, the oxacillinase gene was found to be associated with an integron-borne gene cassette; −, the gene is not associated with an integron-borne gene cassette.dExperimentally obtained pI values (when available) versus calculated values. Theoretical values were calculated using software found at the ExPASy proteomics tools website (http://www.expasy.ch/tools/) and the amino acid sequences of the mature proteins only. Peptide cleavage site identification was performed with SignalP (http://www.cbs.dtu.dk/services/SignalP/), and pI computing was performed with the Compute pI/Mw tool (http://www.expasy.ch/tools/pi_tool.html).eUP, unpublished.  相似文献   

11.

Objective

To investigate the extent to which physical performance measures of strength, balance, and mobility taken at discharge from inpatient stroke rehabilitation can predict health-related quality of life (HRQoL) and community reintegration after 6 months.

Design

Longitudinal study.

Setting

University laboratory.

Participants

Adults (N=75) recruited within 1 month of discharge home from inpatient stroke rehabilitation.

Interventions

Not applicable.

Main Outcome Measures

36-Item Short Form Health Survey (SF-36) for HRQoL and Subjective Index of Physical and Social Outcome (SIPSO) for community reintegration. Physical performance measures were the 6-minute walk test, timed Up and Go (TUG) test, Berg Balance Scale, Community Balance and Mobility Scale, and isokinetic torque and power of hip, knee, and ankle on the paretic and nonparetic sides. Other prognostic variables included age, sex, stroke type and location, comorbidities, and motor FIM score.

Results

Separate stepwise linear regressions were performed using the SF-36 and SIPSO as dependent variables. The total paretic lower limb torque and 6-minute walk test predicted the SF-36 Physical Component Summary (adjusted R2=.30). The total paretic lower limb torque and TUG test predicted the SIPSO physical component (adjusted R2=.47). The total paretic lower limb torque significantly predicted the SF-36 Mental Component Summary, but the adjusted R2 was low (.06). Similarly, the TUG test significantly predicted the SIPSO social component, but again the adjusted R2 was low (.09).

Conclusions

Measures of physical performance including muscle strength and mobility at discharge can partially predict HRQoL and community reintegration 6 months later. Further research is necessary for more accurate predictions.  相似文献   

12.
13.
Background:Hypertension,diabetesaremainriskfactorsofcardiovasculardiseases.Manydatashows:hypertensionmorbidityrateofdiabetespatientsisapparentlyhigherthanthatofnon-diabetespeople.Inforeigncountry,hypertensionmorbidityrateofdiabetespatientsreaches40%~80%.Inourcountry,surveyof220thousandpeoplein1994showedthathypertensionmorbidityrateofdiabetespatientsis55.4%.insulinresistanceiscommonpathogeneticfoundationofhypertensionandtype2diabetes.Inpreviousreports,therewasli…  相似文献   

14.
Avibactam, a non-β-lactam β-lactamase inhibitor with activity against extended-spectrum β-lactamases (ESBLs), KPC, AmpC, and some OXA enzymes, extends the antibacterial activity of ceftazidime against most ceftazidime-resistant organisms producing these enzymes. In this study, the bactericidal activity of ceftazidime-avibactam against 18 Pseudomonas aeruginosa isolates and 15 Enterobacteriaceae isolates, including wild-type isolates and ESBL, KPC, and/or AmpC producers, was evaluated. Ceftazidime-avibactam MICs (0.016 to 32 μg/ml) were lower than those for ceftazidime alone (0.06 to ≥256 μg/ml) against all isolates except for 2 P. aeruginosa isolates (1 blaVIM-positive isolate and 1 blaOXA-23-positive isolate). The minimum bactericidal concentration/MIC ratios of ceftazidime-avibactam were ≤4 for all isolates, indicating bactericidal activity. Human serum and human serum albumin had a minimal effect on ceftazidime-avibactam MICs. Ceftazidime-avibactam time-kill kinetics were evaluated at low MIC multiples and showed time-dependent reductions in the number of CFU/ml from 0 to 6 h for all strains tested. A ≥3-log10 decrease in the number of CFU/ml was observed at 6 h for all Enterobacteriaceae, and a 2-log10 reduction in the number of CFU/ml was observed at 6 h for 3 of the 6 P. aeruginosa isolates. Regrowth was noted at 24 h for some of the isolates tested in time-kill assays. These data demonstrate the potent bactericidal activity of ceftazidime-avibactam and support the continued clinical development of ceftazidime-avibactam as a new treatment option for infections caused by Enterobacteriaceae and P. aeruginosa, including isolates resistant to ceftazidime by mechanisms dependent on avibactam-sensitive β-lactamases.  相似文献   

15.

Background

There is growing public and legislative body support for the medical use of cannabis products, for example, for chemotherapy-induced nausea and vomiting (CINV), in Germany.

Methods

A comprehensive literature search until November 2015 was conducted in MEDLINE, DARE and Cochrane libraries for systematic reviews of randomized controlled trials (RCTs) comparing herbal or pharmaceutical cannabinoids (CB) versus placebo or conventional antiemetics for CINV. Outcomes were reduction of CINV for efficacy, drop-out rates due to adverse events for tolerability, and serious adverse events for safety. The methodology quality of the systematic reviews was evaluated by the tool assessment of multiple systematic reviews (AMSTAR).

Results

Six systematic reviews of RCTs included the pharmaceutical CBs dronabinol, levonantradol, and nabilone or whole plant extract (e.g., nabiximol) compared with placebo or conventional antiemetics. There was moderate quality evidence on the efficacy of CBs compared to placebo and conventional antiemetics for CINV. There was moderate quality evidence that pharmaceutical CBs were less tolerated and less safe than placebo and conventional antiemetics in CINV. One RCT examining whole plant extract was included into the systematic reviews. No RCT was found comparing CBs with neurokinine?1 receptor antagonists.

Conclusions

With safe and effective antiemetics available, CBs cannot be recommended as first- or second-line therapy for CINV. Some guidelines recommend pharmaceutical CBs as third-line treatment in the management of breakthrough nausea and vomiting. Due to the lack of RCT data and safety concerns, herbal cannabis cannot be recommended for CINV.
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This study looked at the relationship between ratings of the perceived effectiveness of 24 methods for telling the future, 39 complementary therapies (CM) and 12 specific attitude statements about science and medicine. A total of 159 participants took part. The results showed that the participants were deeply sceptical of the effectiveness of the methods for telling the future which factored into meaningful and interpretable factors. Participants were much more positive about particular, but not all, specialties of complementary medicine (CM). These also factored into a meaningful factor structure. Finally, the 12 attitude to science/medicine statements revealed four factors: scepticism of medicine; the importance of psychological factors; patient protection; and the importance of scientific evaluation. Regressional analysis showed that belief in the total effectiveness of different ways of predicting the future was best predicted by beliefs in the effectiveness of the CM therapies. Although interest in the occult was associated with interest in CM, participants were able to distinguish between the two, and displayed scepticism about the effectiveness of methods of predicting the future and some CM therapies.  相似文献   

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Public health approaches to palliative care must appreciate that health professionals are part of communities, and the importance of partnerships should not be ignored – despite the inherent challenges. The true partners in a public health approach towards the end of life are of course, dying people, their families and friends, and members of the communities within which they are living and dying. However, we ignore important partnerships with nurses, doctors, and other healthcare professionals at our peril. This paper situates hospices within the broader community and uses vignette's to highlight approaches to community engagement and the challenges of partnership.  相似文献   

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