急性白血病化疗对垂体、性腺、甲状腺激素的影响

目的评价儿童急性白血病(AL)及联合化疗对其垂体、性腺、甲状腺激素的影响。方法测定37例(男23例,女14例)AL患儿化疗前后和20例对照组血清促卵泡激素(FSH)、黄体生成素(LH)、睾酮(T)、雌二醇(E2)、催乳素(PRL)、生长激素(GH)、促甲状腺激素(TSH)、游离三碘甲状腺原氨酸(FT3)、游离甲状腺素(FT4)水平。结果AL患儿FSH、LH、T、E2、GH、FT4、TSH水平化疗前后及对照组各组差异无显著意义(P>0.05),PRL水平治疗前高于对照组(P<0.01),男童PRL水平治疗前后比较差异有显著意义(P<0.01)。FT3治疗前低于对照组(P<0.001),治疗后趋于正常(P>0.05)。结论AL本身及联合化疗对患儿垂体-性腺轴功能及GH水平无明显影响。AL本身可使PRL水平升高,而化疗药物可抑制男童PRL的分泌。联合化疗对甲状腺功能无影响,FT3水平对判断AL患儿病情变化、疗效及预后有一定参考意义。     

长期服抗精神病药病人的隐性运动障碍

目的：评估抗精神病药对迟发性运动障碍（ＴＤ）的掩盖,即隐性运动障碍（ｃｏｖｅｒｔ ｄｙｓｋｉｎｅ－ｓｉａ）状况。方法应用Ｓｉｍｐｓｏｎ运动障碍评分表评定ＴＤ。入组的６９例病人有２３例病人完成了减药之前、停药三周后和再服药四个月后的ＴＤ评定,６９例次检查都给于隶像,并且两个评定者按照录像独立评定ＴＤ是否存在,评定ＴＤ的一致性良好（ＩＣＣ＝０．７５）。结果完成整个调查的２３例病人中,减药前ＴＤ出现率为     

Development and Face Validity of Explicit indicators of Appropriateness of Long Term Prescribing

Objectives: To develop a set of explicit and operationalisable indicators of appropriate prescribing and assess their face validity using clinical pharmacists practising in secondary and primary care. Method: Appropriateness indicators were derived from the literature, applied to data in the hospital clinical records of all newly prescribed long-term drugs for 50 randomly selected patients, further refined and then applied to another 25 randomly selected patients. A pre-piloted postal questionnaire was sent to 200 hospitals and primary care pharmacists, asking them to assess the indicators as to their importance for the assessment of appropriateness of long-term prescribing initiated in hospitals. Results: Fourteen indicators were developed and piloted. Of the 16 original indicators, 5 were discarded, as they were unable to be operationalised, and 2 were subdivided to reflect the routinely available data. Eighty-six pharmacists with individual patient-focussed clinical duties took part in the assessment of the face validity (response rate 43%). Eleven indicators achieved a median importance rating of 1 (very important), and three indicators a median importance rating of 2 on a 5-point scale. The three most important indicators overall were ‘indication included in discharge summary’, ‘questionable high-risk therapeutic combination’ and ‘hazardous drug-drug combination’. Conclusion: It was possible to develop and operationalise 14 indicators of the appropriateness of long-term prescribing commenced in hospital practice, all of which were considered to have face validity by an expert panel of clinical pharmacists. The development of these explicit indicators highlighted the incompleteness of the patient’s record. Further work is needed to assess their validity and reliability, before their use in research or audit can be recommended.     

Computer-assisted medication review for asthmatic patients as a basis for intervention Constructing and validating an algorithmic computer instrument in pharmacy practice

OBJECTIVE: To construct and validate a computer instrument that identifies asthma patients receiving--theoretically--suboptimal drug therapy in community pharmacies, by the use of patient medication records. This selection enables the pharmacist to assist these patients in using medicines appropriately. METHODS: According to Dutch asthma guidelines which describe a stepwise approach and in order to define correct profiles for the use at each level of these guidelines, the optimum use of drugs in the different levels in asthma treatment was expressed in defined daily doses (DDDs) per pharmacological drug-group during a period of one year. An algorithmic computer instrument was developed to select patients with medication use deviant from these profiles. By using nine different selection profiles, the computer instrument stratified patients according to the medication records filed in the pharmacy computer. Patient medication records in four community pharmacies were investigated to validate the selection profiles as indicators for theoretically suboptimal drug use by asthma patients. The validation was performed by comparing the professional judgement of participating pharmacists with the selections made by the computer. MAIN OUTCOME MEASURE: Positive predictive value and negative predictive value of the selection made by algorithmic computer instrument. Rate of false-positive results. RESULTS: The computer instrument identified asthma patients using theoretically suboptimal drug therapy with approximately 95% predictive value compared with the professional judgement of the pharmacists. The rate of false-positive results was 5%. CONCLUSION: The results of the algorithmic computer instrument and the professional judgement of the pharmacists are in close agreement. The instrument will be utilised in further research in the IPMP study (Interventions on the principle of Pulmonary Medication Profiles) investigating the role of Dutch community pharmacists in counselling patients who are at risk of suboptimal drug use in the treatment of their asthma.     

20856例急诊患者疾病谱及就诊特点

目的 分析达州市中西医结合医院急诊科就诊患者的疾病谱构成及就诊特点,为进一步明确救治重点、优化急诊流程、优化及合理使用急诊资源提供数据支撑。方法 通过调取达州市中西医结合医院HIS系统2017年1月1日0:00～2017年12月31 日23:59急诊就诊共计20856例患者的基本信息及诊断资料,分析患者的性别、年龄、就诊时间、疾病种类、是否住院等情况,采用描述性统计方法进行分析,SPSS 25.0软件进行统计学处理,率的比较采用X2检验。结果 20856例患者中,男性比例高于女性;年龄组以青年组（45.97%）急诊就诊率最高;一年四季中夏季（26.63%）就诊量最多,春季（23.46%）最低;8月（9.58%）为急诊就诊月高峰,4月（7.49%）为低谷期;急诊就诊量星期时间点波动（14.02%～14.59%）不明显,周末效应不明显;急诊全天1小时高峰时段为20:00～21:00时,4小时高峰时段为18:00～22:00时;疾病谱中以外伤（2330%）、消化系统（21.25%）、其他类（1429%）为前三位病种。全年急诊就诊患者住院率明显高于同期门诊患者住院率。结论 该医院急诊患者就诊有一定的规律性,医院可考虑根据该规律提前增排加强班。急诊科医护人员应加强对排名前位系统疾病的诊治流程进行优化及学习,并加强急诊外科建设。     

Prediction of individual response to antidepressants and antipsychotics: an integrated concept

In both clinical trials and daily practice, there can be substantial inter- and even intraindividual variability in response—whether beneficial or adverse—to antidepressants and antipsychotic medications. So far, no tools have become available to predict the outcome of these treatments in specific patients. This is because the causes of such variability are often not known, and when they are, there is no way of predicting the effects of their various potential combinations in an individual. Given this background, this paper presents a conceptual framework for understanding known factors and their combinations so that eventually clinicians can better predict what medication(s) to select and at what dose they can optimize the outcome for a given individual. This framework is flexible enough to be readily adaptable as new information becomes available. The causes of variation in patient response are grouped into four categories: (i) genetics; (ii) age; (iii) disease; and (iv) environment (internal). Four cases of increasing complexity are used to illustrate the applicability of this framework in a clinically relevant way In addition, this paper reviews tools that the clinician can use to assess for and quantify such inter- and intraindividual variability. With the information gained, treatment can be adjusted to compensate for such variability, in order to optimize outcome. Finally, the limitations of existing antidepressant and antipsychotic therapy and the way they reduce current ability to predict response is discussed.     

Informing the design of clinical decision support services for evaluation of children with minor blunt head trauma in the emergency department: A sociotechnical analysis

Integration of clinical decision support services (CDSS) into electronic health records (EHRs) may be integral to widespread dissemination and use of clinical prediction rules in the emergency department (ED). However, the best way to design such services to maximize their usefulness in such a complex setting is poorly understood. We conducted a multi-site cross-sectional qualitative study whose aim was to describe the sociotechnical environment in the ED to inform the design of a CDSS intervention to implement the Pediatric Emergency Care Applied Research Network (PECARN) clinical prediction rules for children with minor blunt head trauma. Informed by a sociotechnical model consisting of eight dimensions, we conducted focus groups, individual interviews and workflow observations in 11 EDs, of which 5 were located in academic medical centers and 6 were in community hospitals. A total of 126 ED clinicians, information technology specialists, and administrators participated. We clustered data into 19 categories of sociotechnical factors through a process of thematic analysis and subsequently organized the categories into a sociotechnical matrix consisting of three high-level sociotechnical dimensions (workflow and communication, organizational factors, human factors) and three themes (interdisciplinary assessment processes, clinical practices related to prediction rules, EHR as a decision support tool). Design challenges that emerged from the analysis included the need to use structured data fields to support data capture and re-use while maintaining efficient care processes, supporting interdisciplinary communication, and facilitating family-clinician interaction for decision-making.