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目的了解抗精神病药物引起的不良反应,为深入开展药品不良反应监测工作提供依据。方法对该院2008年6月~2009年5月收集的55例抗精神病药物的不良反应报告进行回顾性分析。结果利培酮引起的不良反应最多见,有16例,占29.1%;神经系统损害最常见。结论临床应重视抗精神病药物引起的不良反应,须定期监测、及时上报,其可为临床治疗提供参考,以期减少或避免药品不良反应的发生。 相似文献
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刘红洽 《中国现代药物应用》2015,(16)
药物不良反应是临床用药中常遇到的现象,成为危害人类健康的主要杀手,在我国引起了越来越多的关注和研究。本文对引起药物不良反应的原因进行了多方面的分析,同时提出了相应的预防措施,加强对药物不良反应的监测和防范,减少和避免药物不良反应的发生。 相似文献
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抗微生物药物所致的严重不良反应分析 总被引:1,自引:0,他引:1
目的:分析我院抗微生物药物引起的严重不良反应,以便临床医师和护士在用药时能及时、准确作出判断并处理,减轻对患者的伤害。方法:将我院药品不良反应监测小组于2005年1月~2006年7月收集到的1 360份不良反应病例进行分析,按照国家药品不良反应监测中心制定的严重不良反应定义进行筛选、分析、讨论。结果:由抗微生物药物引起的严重不良反应的病例数为111例(含死亡2例),占不良反应总例数的8.2%,涉及到抗微生物药物44种。结论:加强药品不良反应监测,尤其是抗微生物药物引起的严重不良反应。合理地使用抗微生物药物,杜绝滥用,以保证抗微生物药物用药安全、有效。 相似文献
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目的 了解儿童药物不良反应的发生原因及特点,为提高临床安全、合理用药水平提供依据。方法 对80份儿童药物不良反应监测报告资料进行统计分析,重点考察药物剂型、给药途径与药物不良反应的关系。结果 抗感染药物是引起儿童药物不良反应最常见的药物,静脉给药是所有给药途径中最易引起不良反应的因素。儿童药物不良反应以皮肤反应最常见。结论 应对儿童用药加强监管,加强儿童药品不良反应的监测和报告工作,同时积极预防和治疗儿童药品不良反应。 相似文献
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本研究分析了引起药物不良反应的相关因素及建议措施,强调加强药物不良反应监测工作的重要性,旨在提高医务人员合理使用药物的水平,从而降低药物不良反应的发生率。 相似文献
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黄燕萍 《中国现代药物应用》2007,1(11):67-68
药物不良反应是临床用药过程中日常遇到的现象.如何有效的预防和加强对药物不良反应的监测是各级药物主管部门和医疗部门不得不关注和研究的问题,本文在此对药物不良反应监测研究,希望能抛砖引玉,进一步引起全社会对这一课题的重视. 相似文献
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目的为确保安全用药,深入开展不良反应监测工作提供依据。方法采用统计方法,对收集的155例不良反应报告进行分析。结果本资料中抗菌药物及中成药注射剂为主要的不良反应药物;药物不良反应以皮肤及其附件,神经系统的损害为主;用药途径主要为静脉给药。结论重视药物引起的不良反应,定期监测与报告,减少和避免不良反应的发生。 相似文献
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《Drugs (Abingdon, England)》2013,20(6):443-450
The Centre for Alcohol and Drug Research (CRF) has since its foundation in 1991 had a strong tradition for research in drug control. However, researchers at CRF have also started to study drug policy not only from a control perspective but also from a perspective of health and welfare issues. From 2005, CRF has developed a particular interest in how welfare policies related to drug issues come into being and how they are implemented in practice in different welfare institutions. These studies, in opposition to more established drug policy studies based primarily on quantitative and statistical data, use a broader variety of empirical data collected using qualitative interviews and ethnographic observations. The article investigates the development of drug policy studies at CRF and discusses the theoretical and analytical implications of this development. The development is related to, first that the organization of the Danish drug field has changed and a variety of new social and health initiatives have emerged, necessitating a thorough investigation; and, second that more anthropologists and sociologists have been employed at CRF, complementing researchers trained primarily in legal studies. 相似文献
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《Substance use & misuse》2013,48(3):489-509
The existing literature on drinking patterns of Black alcoholics is relatively limited; however, most of the data suggest that drinking behavior of Blacks may be different from that of Whites. A summary of recent studies in this area is presented in Table 1. Robins et al. (1968) indicated that heavy drinking is a common pattern among Black urban males and that drinking behavior usually resulted in objective difficulties and personal worry. Maddox and Williams (1968) reported that drinking is twice as common in urban Black men as in urban White men of similar socioeconomic class origins. King et al. (1969), in a study of the social problems of Black men, demonstrated the significance of alcohol abuse in the Black urban ghetto and how this related to broken homes, delinquency, sexual and reproductive irresponsibility, and underemployment. 相似文献
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Significant progress has been made in structure-based drug design by pharmaceutical companies at different stages of drug discovery such as identifying new hits, enhancing molecule binding affinity in hit-to-lead, and reducing toxicities in lead optimization. Drug metabolism is a major consideration for modifying drug clearance and also a primary source for drug metabolite-induced toxicity. With major cytochrome P450 structures identified and characterized recently, structure-based drug metabolism prediction becomes increasingly attractive. In silico methods based on molecular and quantum mechanics such as docking, molecular dynamics and ab initio chemical reactivity calculations bring us closer to understand drug metabolism and predict drug–drug interactions. In this study, we review important progress in drug metabolism and common in silico techniques adopted to predict drug regioselectivity, stereoselectivity, reactive metabolites, induction, inhibition and mechanism-based inactivation, as well as their implementation in hit-to-lead drug discovery. 相似文献