Postmarketing safety information: how useful are spontaneous reports?

From 1995 until June 1998 123 new chemical entities (NCEs) were launched in Switzerland. In this time period 250 reports of adverse reactions (ADRs) involving 56 different NCEs were reported to the Swiss Drug Monitoring Center SANZ directly by physicians within the voluntary spontaneous reporting scheme (SRS). No cases from observational or clinical postmarketing studies were included. Of the reports 88% were suspected to be drug-related and 20% of them were serious. In 64% the ADRs were unlabelled and not notified to the health professionals. Disorders of the central nervous system (CNS) were reported in 32% and cardiovascular disorders in 26% of the unlabelled and serious cases. The non-serious cases accounted for 80% of the reported NCE-ADRs and 60% of them were unlabelled. Skin reactions were reported most frequently (18%), followed by psychic (15%), gastrointestinal (10%), cardiovascular and CNS disorders (8% each). In the labelled non-serious cases gastrointestinal and skin reactions were reported in 25% and 24% respectively. The other system organ classes were involved to a much smaller extent (<8%). CONCLUSIONS: (1) Spontaneous reports are of great value in optimizing postmarketing safety information. (2) Early reports give rise to a different ADR profile than expected from premarketing safety information. (3) Spontaneous reports have a strong signalling function especially for drugs used by general practitioners. (4) Sensitive signal detection systems are of great value in detecting non-labelled and serious ADRs in an early phase.     

基于FDA不良事件数据库和指定医疗事件对氯喹和羟氯喹不良反应信号的检测与评价

目的： 挖掘和评价新型冠状病毒肺炎治疗方案（试行第七版）中加入的药物"磷酸氯喹"和《上海市2019冠状病毒病综合救治专家共识》中推荐加入的"硫酸羟氯喹"上市后的安全信号,为临床合理用药提供参考。方法： 检索美国FDA不良事件报告系统（FDA adverse event reporting system,FAERS）数据库2004年1月1日-2019年12月31日收录以"氯喹"及"羟氯喹"为怀疑对象的不良事件（adverse drug events,ADEs）报告,提取排名前200位药物不良反应（adverse drug reaction,ADR）报告进行指定医疗事件（designated medical event,DME）筛选,采用报告比值比法（ROR）和比例报告比值比法（PRR）检测ADR信号,重点评估和比较出现DME的系统器官分类（SOC）中的安全信号,并对DME进行分析。结果： 提取FAERS数据库得到氯喹与羟氯喹ADEs报告数量分别为1 128例和29 639例;氯喹严重不良事件（serious adverse event,SAE）占比57.89%,羟氯喹占比26.60%。经DME筛选,共涉及7种SOC,其中眼部疾病与呼吸系统相关ADR中,羟氯喹检出的信号较多;皮肤和皮下组织类疾病,2种药物信号检出数量大致相等;心脏、血液及肝胆系统相关ADR中,信号主要集中在氯喹;耳部系统相关ADR中,信号检出较少。另外,氯喹检出的7种DME中尖端扭转型室速信号值最高,羟氯喹检出的4种DME中中毒性表皮坏死松解症信号值最高。结论： 基于真实世界的ADR信号检测有助于新冠疫情中氯喹与羟氯喹的安全性评价,降低临床用药风险。     

Fluvastatin and hepatic reactions: a signal from spontaneous reporting in Italy.

BACKGROUND: Signal detection is a crucial element in recognising new adverse drug reactions (ADRs) as soon as possible. HMG-CoA reductase inhibitors ('statins'), the most potent cholesterol-lowering drugs, are generally well tolerated but can occasionally lead to liver toxicity. Pre- and postmarketing studies on statins revealed an incidence of 0.1-3% elevation in hepatic transaminase levels. However, these elevations are asymptomatic, reversible, dose related or probably due to other causes. Postmarketing studies clearly showed the lack of evidence of hepatotoxicity from statins, apart from some isolated case reports of serious hepatic damage described in the literature. It is still unclear whether serious hepatic reactions are dose related and more frequent than the expected rate in the general population. OBJECTIVE: In this study, the hypothesis that fluvastatin could cause serious liver injuries more than the other statins is investigated, in the light of a quantitative and qualitative signal analysis, drug consumption data and evidence from the literature. METHODS: The Italian Interregional Group of Pharmacovigilance (Gruppo Interregionale di Farmacovigilanza; GIF) is an example of signal detection within the Italian spontaneous ADR reporting system. The GIF database holds reports of suspected ADRs submitted by five Italian pharmacovigilance regional centres. In the GIF database, all reports of suspected ADRs are classified according to the WHO criteria for causality assessment. The reactions are coded according to the WHO Adverse Reaction Terminology and classified as serious or non-serious events on the basis of the WHO Critical Term List. Every 6 months the GIF database is analysed to extract potential signals through a qualitative case-by-case analysis and using a quantitative methodology called proportional reporting ratio (PRR). This methodology permitted us to identify the potential signal 'fluvastatin and hepatic reactions'. RESULTS: At 31 December 2004, the GIF database contained 35 757 reports with an annual reporting rate of 170 reports per million inhabitants. We found a total of 1260 reports of ADRs related to statins, including 178 of hepatic reactions. Sixty-nine reports were attributed to fluvastatin, which showed the highest PRR in comparison with the other statins. Fluvastatin was associated with 33 serious reactions, mainly hepatitis and cholestatic hepatitis. The number of reports of severe hepatotoxicity associated with fluvastatin started to increase from 2002. About half of them did not report other suspected or concomitant drugs and in one third the hepatotoxicity occurred after <1 month of therapy. Twenty-seven out of 33 patients were female, and fluvastatin was administered at 80 mg/day in 81% of cases reporting complete data on drug dosage. CONCLUSION: In the literature, serious hepatic reactions are rarely described in patients taking statins; however, data gathered by GIF suggest that cases of hepatotoxicity are reported more often than expected. In addition, GIF data seem to reveal that fluvastatin is more likely to cause hepatic reactions than the other statins. However, this is a preliminary signal and future evaluations are certainly needed to confirm it and to quantify this possible risk.     

Comparison of 500 spontaneous and 500 published reports of adverse drug reactions

The information and case quality of 500 spontaneous and 500 published adverse drug reaction (ADR) reports were compared, including a study of the most common criteria used in different causality assessment methods. The criteria were more often of positive value in the published reports. Nevertheless, spontaneous reports play an important role in the detection of new ADRs.     

Retrospective analysis of the frequency and recognition of adverse drug reactions by means of automatically recorded laboratory signals

AIMS: To estimate the frequency of adverse drug reactions (ADRs) identified through the use of automatic signals generated from laboratory data (ALS) in hospitalised patients. To determine the frequency of spontaneous recognition of these ADRs by the attending physicians and to assess the potential value of ALS for detection of ADRs. METHODS: Laboratory results of patients hospitalised in a nine bed medical ward were automatically recorded over a period of 17 months. Values exceeding defined boundaries were used as ALS. Charts of every third patient were analysed retrospectively with regard to adverse drug related reactions and causality was evaluated as well as whether the ADR had been recognised during the period of hospitalisation. RESULTS: The charts and ALS of 98 patients were analysed. In 18 cases a drug-related adverse reaction was probable. Awareness to the reaction by the treating physicians was evident in 6 out of these 18 ADRs. Approximately 80% of the ADRs were considered predictable. Three ADRs were regarded as serious. CONCLUSIONS: Adverse drug reactions are common and often preventable. Only one third of ADRs which could have been detected through ALS were recognised by the attending physicians. An increased doctor's awareness of the frequency of drug related abnormal laboratory results by means of ALS is likely to increase the recognition rate of ADRs and might help to prevent them.     

Adverse reactions induced by NSAIDs and antibacterials: analysis of spontaneous reports from the Sicilian regional database.

OBJECTIVES: To (i) evaluate the suspected adverse drug reactions (ADRs) related to NSAIDs and antibacterials that were reported to Sicilian local health officers by healthcare professionals; and (ii) to detect new or serious potential signals of alarm related to these two widely used drug categories. METHODS: We selected all the spontaneous reports of ADRs sent between January 1998 and June 2004 and analysed those attributed to NSAIDs and systemic antibacterials, applying proportional reporting ratio (PRR) methodology. PRRs >2, chi(2) >4 and >3 ADRs were regarded as signals. RESULTS: During the period considered, 1585 reports of ADRs were received overall (42.6% serious), with an annual reporting rate of approximately 49.1 reports per million inhabitants on average; 351 referred to systemic antibacterials, and 179 to NSAIDs. There were 174 (49.6%) reports of serious ADRs associated with antimicrobials and 108 (60.3%) associated with NSAIDs. Disproportionality was observed, in particular for anaphylactic shock induced by ceftriaxone (all reports were associated with off-label use of the drug), photosensitivity reaction induced by lomefloxacin (administered in the summer), hepatitis induced by nimesulide (three cases leading to liver transplantation) and vasculitis induced by nimesulide. CONCLUSION: Our analysis highlighted several signals of alarm deserving further investigation or measures to influence prescribing. This study underlines the value of a regional centre in identifying local factors (such as prescribing patterns) that may increase the prevalence of serious ADRs.     

广东省药品不良反应监测数据库的信号检测

对广东省自发呈报的药品不良反应系统数据库进行信号检测。方法应用贝叶斯判别可信区间递进神经网络模型比值失衡测量法，对广东省2002年4月28日到2007年7月10日上报的所有数据，进行信号检测。结果信号检测方法能发现9144条药品／药类一不良事件／不良事件类组合，其中2529条有信号，56条是强信号。结论信号检测有助于发现新的药品不良反应信号，及突出的药品安全性问题，可以极大地提高药品不良反应监测工作的效率，是将来药物警戒的研究重点之一。     

A model for decision support in signal triage

Spontaneous reporting of suspected adverse drug reactions (ADRs) has long been a cornerstone of pharmacovigilance. With the increasingly large volume of ADRs, regulatory agencies, scientific/academic organizations and marketing authorization holders have applied statistical tools to assist in signal detection by identifying disproportionate reporting relationships in spontaneous reporting databases. These tools have generated large numbers of signals defined as drug-ADR reporting associations that meet specified statistical criteria.The challenge is to identify which signals are most likely to be medically important and therefore warrant priority for further investigation. Decisions related to signal triage are often complex and are based on a combination of clinical, epidemiological, pharmacological and regulatory criteria. There are no specific regulations, guidelines or standards that provide an objective basis for these decisions.This paper describes preliminary work to identify and quantify the specific factors that contribute to a decision to prioritize a specific drug-ADR combination for further in-depth review. We applied a tool from the discipline of decision analysis to systematically assess the important attributes of spontaneously reported ADRs. A model was created that integrates these assessments and produces rankings for the signals generated from quantitative signalling methods. Although more research is necessary to evaluate the performance of this model fully, preliminary results suggest that the use of formal decision analysis approaches to support signal triage can provide potential benefit and will help meet an important need.     

Under-reporting of serious adverse drug reactions in Sweden

INTRODUCTION: Adverse drug reactions (ADR) constitute a major problem, both from a medical point of view and as an economical burden. Spontaneous reporting of ADRs is one of the methods for post marketing surveillance of drug safety. Under-reporting can also provide an important obstacle to rapid and relevant signal detection. AIM: To investigate the rate of under-reporting serious ADRs of selected ICD 10 diagnoses. METHOD: In order to investigate the under-reporting rate we investigated at five hospitals within the county of Norrbotten in Sweden the total number of diagnosed cases during a period of 5 years (1996-2000) with the following diagnoses: cerebral haemorrhage (I 61.0-I 61.9), pulmonary embolism (I 26.0 and I 26.9), embolism or thrombosis (I 74.0-I 74.9), phlebititis, thrombophlebitits or venous thrombosis (I 80.0-I 80.3, I 80.8 and I 80.9) and portal vein thrombosis and other thrombosis or emboli (I 82.0-I 82.3, I 82.8 and I 82.9). The identity of these patients was obtained through a database search. The patients' case records were then scrutinized by a specially trained nurse and the drugs used at the time of the event were noted. An assessment of the possibility of an ADR was performed using standard WHO causality criteria. Later, database search in the Swedish ADR registry was performed in order to investigate whether these suspected ADRs had been reported to the national authority in Sweden or not. RESULTS: In total 1349 case records were found and scrutinized. Of these, 107 patients had received drugs that could have been a probable or possible cause to the diagnoses. Of these 92 cases had not been reported and only 15 patients were found in the database, giving an overall under-reporting rate of all ADRs of 86%.The most commonly occurring diagnoses were cerebral haemorrhage followed by venous thrombosis, 545 and 468 respectively. Among those cases that should have been reported according to the existing rules for spontaneous reporting of suspected ADRs the most frequently occurring diagnosis was cerebral haemorrhage (I 61.0) in connection to treatment with anticoagulants. CONCLUSION: The rate of spontaneous ADR reporting is very low, also for serious and fatal reactions.     

Impact analysis of signals detected from spontaneous adverse drug reaction reporting data.

This paper describes a new method of prioritising signals of potential adverse drug reactions (ADRs) detected from spontaneous reports that is called impact analysis. This is an interim step between signal detection and detailed signal evaluation. Using mathematical screening tools, large numbers of signals may now be detected from spontaneous ADR databases. Regulatory authorities need to rapidly prioritise them and focus on those that are most likely to require significant action. Using two scores ranging from one to 100, each with three input variables, signals may be categorised in terms of the strength of evidence (E) and the potential public health impact (P). In a two-by-two figure with empirically derived cut-off points of ten (the logarithmic mean) for each score, signals are placed in one of four categories (A-D) that are ranked according to their priority (A being the highest and D the lowest). A sensitivity analysis is then performed that tests the robustness of the categorisation in relation to each of the six input variables. A computer program has been written to facilitate the process and reduce error. Further work is required to test the feasibility and value of impact analysis in practice.     

Applying quantitative methods for detecting new drug safety signals in pharmacovigilance national database

OBJECTIVES: To applies three different methods of signal detection to the registered adverse events in Iranian Pharmacovigilance database over the period of 1998-2005. METHODS: All adverse drug reactions (ADRs) reported to Iranian Pharmacovigilance Center (IPC) from March 1998 through January 2005, were used for the analysis. The data were analysed based on three different signal detection methods including reporting odds ratios (RORs), information component (IC) and proportional reporting ratios (PRRs). The signals detected were categorised based on the number of reports per drug-adverse event combination, severity of the event and labelled or unlabelled ADRs. RESULTS: During the study period, 6353 cases of ADR reports describing 11 130 reactions were received by IPC. The dataset involved 4975 drug-adverse event combinations. The count of drug-event combinations was 1, 2 and 3 or more for 3470, 726 and 779 combinations, respectively. According to PRRs, there were 2838, 872 and 488 drug-event combinations known as a signal for the pairs with the reporting frequency of 1, 2 and 3 reports, respectively. The results of estimating RORs showed that 2722, 862 and 481 drug-adverse event combinations were detected to be signal for the pairs with the reporting frequency of 1, 2 and 3 reports, respectively, while measuring IC and IC-2SD detected 1120, 378 and 235 for the same reporting frequencies. Diclofenac-induced paralysis and tramadol-induced severe reactions were the most important signals. CONCLUSION: Applying quantitative signal detection methods to the database of national pharmacovigilance centres is necessary to early detection of drug safety alerts.     

Malaria pharmacovigilance in Africa: lessons from a pilot project in Mpumalanga Province, South Africa.

BACKGROUND AND OBJECTIVES: Prior to the introduction of artemisinin-based combination antimalarial therapy in Mpumalanga province, South Africa, a pharmacovigilance strategy was developed to pilot locally relevant surveillance methods for detecting serious adverse drug reactions (ADRs) and signals related to artesunate plus sulfadoxine/pyrimethamine. STUDY DESIGN: From 1 March 2002 to 30 June 2004, five methods for detecting ADRs in patients receiving antimalarials were piloted in the rural communities of Mpumalanga province in South Africa: (i) home follow-up of patients by malaria control staff; (ii) enhanced spontaneous reporting of suspected ADRs by health professionals at clinics and hospitals; (iii) active hospital surveillance for malaria-related admissions and patients recently treated for malaria; (iv) a confidential enquiry into malaria-related deaths; and (v) adverse events monitoring during two therapeutic efficacy studies conducted in 2002 and 2004. RESULTS: During the study period, the malaria control programme was notified of 4778 cases of malaria while sulfadoxine/pyrimethamine monotherapy was the recommended treatment and 7692 cases after the introduction of artesunate plus sulfadoxine/pyrimethamine in January 2003. Of 2393 home follow-up visits of reported cases of malaria, three fatal adverse events were identified where recent use of artesunate plus sulfadoxine/pyrimethamine treatment was reported. Two cases were attributed to poor response to treatment, while one case was considered possibly related to artesunate plus sulfadoxine/pyrimethamine treatment. Clinic and hospital surveillance reported six ADRs in association with sulfadoxine/pyrimethamine treatment, five being treatment failures and one being a non-serious rash. During active hospital surveillance, 38 inpatients exposed to sulfadoxine/pyrimethamine were identified, including one child who experienced pancytopenia following treatment with sulfadoxine/pyrimethamine 11 days before admission; this adverse effect was considered to be possibly due to sulfadoxine/pyrimethamine treatment. The confidential enquiry into malaria-related deaths identified three adverse events, including a death where the contribution of treatment could not be excluded. A therapeutic efficacy study of 95 patients followed over 42 days identified one case of repeated vomiting possibly associated with artesunate plus sulfadoxine/pyrimethamine. CONCLUSION: Multifaceted monitoring throughout the malaria patient journey is necessary in developing countries implementing new treatments to safeguard against missing serious complications associated with malaria treatment.     

Adverse drug reactions in children reported by European consumers from 2007 to 2011

Background Information about medicines safety in children is very limited. Consumer adverse drug reaction (ADR) reports can provide information about serious and unknown ADRs from medicine use in children. Objective To characterize ADRs in children reported by consumers in Europe from 2007 to 2011. Methods We analysed ADRs reported to the European ADR database, EudraVigilance (EV) for individuals from birth to 17 years. Data were characterized with respect to age and sex of the child, type of ADR (system organ class and preferred term), seriousness and suspected medicines (anatomical therapeutic chemical classification system level 1 and 5). Results In total, 240 ADR reports corresponding to 670 ADRs were identified. The relatively largest share of ADRs were reported for infants below 1 year followed by teenagers, and 60 % of all ADRs were reported for girls. The majority of ADRs reported were of the general type (20 %) and nervous system disorders (15 %). The largest share of serious ADRs was of the type nervous system disorders (17 % of all serious). Three cases of death were reported. Vaccines and anti-infectives for systemic use contributed to 30 % of ADRs, antineoplastic and immunomodulating agents for 23 % and sex hormones for 13 %. Conclusion Only few paediatric ADR consumer reports were found in EudraVigilance. Many of these ADRs were serious, and fatal cases were reported, however also nonserious reports were present. The findings indicate that consumer reports may be of value in paediatric ADR signal detection.     

Criteria revision and performance comparison of three methods of signal detection applied to the spontaneous reporting database of a pharmaceutical manufacturer.

BACKGROUND AND OBJECTIVE: Several statistical methods exist for detecting signals of potential adverse drug reactions in spontaneous reporting databases. However, these signal-detection methods were developed using regulatory databases, which contain a far larger number of adverse event reports than the databases maintained by individual pharmaceutical manufacturers. Furthermore, the composition and quality of the spontaneous reporting databases differ between regulatory agencies and pharmaceutical companies. Thus, the signal-detection criteria proposed for regulatory use are considered to be inappropriate for pharmaceutical industry use without modification. The objective of this study was to revise the criteria for signal detection to make them suitable for use by pharmaceutical manufacturers. METHODS: A model comprising 40 drugs and 1000 adverse events was constructed based on a spontaneous reporting database provided by a pharmaceutical company and used in a simulation to investigate appropriate criteria for signal detection. In total, 1000 pseudo datasets were generated with this model, and three statistical methods (proportional reporting ratio [PRR], Bayesian Confidence Propagation Neural Network [BCPNN] and multi-item gamma Poisson shrinker [MGPS]) for signal detection were applied to each dataset. The sensitivity and specificity of each method were evaluated using these pseudo datasets. The optimum critical value for signal detection (i.e. the value that achieved the highest sensitivity with 95% specificity) was identified for each method. The optimum values were also examined with the adverse events classified into two categories according to frequency. The three original detection methods and their revised versions were applied to a real pharmaceutical company database to detect 173 known adverse reactions of four drugs. RESULTS: The 1000 pseudo datasets consisted of an average of 81 862 reports and 11,407 drug-event pairs, including 1192 adverse drug reactions. The sensitivities of PRR, BCPNN and MGPS methods were 49%, 45% and 26%, respectively, whereas their specificities were 95%, 99.6% and 99.99%, respectively; these sensitivities were unacceptably low for pharmaceutical manufacturers, whereas the specificities were acceptable. The highest sensitivity for each method, obtained by changing critical values and maintaining specificity at 95%, was 44%, 62% and 62%, respectively. When adverse events were classified into two categories, sensitivities as high as 75% for regular events and 39% for rare events were achieved with the revised BCPNN method. The critical values of the information component minus two standard deviations (IC - 2SD) index of the revised BCPNN method were greater than -0.7 for regular events and greater than -0.6 for rare events. The revised BCPNN method yielded 51% sensitivity and 89% specificity for the real dataset. CONCLUSION: A lower critical value may be needed when signal-detection methodology is applied to the spontaneous reporting databases of pharmaceutical manufacturers. For example, it is recommended that pharmaceutical manufacturers use the BCPNN method with IC - 2SD criteria of greater than -0.7 for regular events and greater than -0.6 for rare events.     

住院患者药物不良反应监测方法的探索

目的比较自动化实验室检验信号途径(ALS)与自愿呈报系统(SRS)收集药物不良反应(ADRs)的特点,完善目前医院内ADRs监测系统.方法在某医院通过SRS和ALS两种方式收集从2000年3月至2001年2月发生的ADRs.结果通过激励机制改进后的SRS提高了ADRs的呈报率;使用ALS后,进一步增加了ADRs的呈报率,ADRs报告表增加了53.52%,且ALS与SRS所呈报的ADRs在严重程度构成上有显著性差异.结论ALS弥补了SRS漏报率高和资料偏差的缺点,进一步完善了目前医院内ADRs监测系统.     

Methods and systems to detect adverse drug reactions in hospitals.

Detection of adverse drug reactions (ADRs) in hospitals offers the chance to detect serious ADRs resulting in hospitalisation and ADRs occurring in hospitalised patients, i.e. patients with high comorbidity and receiving drugs that are administered only in hospitals. The most commonly applied methods involve stimulated spontaneous reporting of doctors and nurses, comprehensive collection by trained specialists and, more recently, computer-assisted approaches using routine data from hospital information systems. The different methods of ADR detection used result in different rates and types of ADRs and, consequently, in different drug classes being responsible for these ADRs. Another factor influencing the results of surveys is the interpretation of the term ADR, where some authors adhere to the strict definition of the World Health Organization and many others include intended and unintended poisoning as well as errors in prescribing and dispensing, thus referring to adverse drug events. Depending on the method used for screening of patients, a high number of possible ADRs and only few definite ADRs are found, or vice versa. These variations have to be taken into account when comparing the results of further analyses performed with these data. ADR rates and incidences in relation to the number of drugs prescribed or patients exposed have been calculated in only a few surveys and projects, and this interesting pharmacoepidemiological approach deserves further study. In addition, the pharmacoeconomic impact of ADRs, either resulting in hospitalisation or prolonging hospital stay, has been estimated using different approaches. However, a common standardised procedure for such calculations has not yet been defined. Although detection of ADRs in hospitals offers the opportunity to detect severe ADRs of newly approved drugs, these ADRs are still discovered by spontaneous reporting systems. The prospects offered by electronic hospital information systems as well as implementation of pharmacoepidemiological approaches increases the possibilities and the value of ADR detection in hospitals.     

Detection and incidence of drug-induced liver injuries in hospital: a prospective analysis from laboratory signals

AIMS: Liver damage remains the most frequent type of adverse drug reaction (ADRs) that can lead to the withdrawal of a drug from the market. The abnormal laboratory data identified by computerized hospital information systems can be used in order to improve the detection of ADRs. Our objectives were to assess the detection and incidence of drug-induced liver abnormalities in a university hospital inpatient population and to evaluate the underreporting rate of drug-induced liver injury. METHODS: We conducted a prospective study performed 1 week per month from June to October 1997. We selected patients by a computerized process using biochemistry laboratory data, based on serum enzyme values, alanine aminotransferase (over 2 fold normal) and alkaline phosphatase (over 1.5 fold normal). RESULTS: Among 1976 ALT and 1814 AP assays performed during the period of the study, 156 (7.9%) and 159 (8.8%) tests, respectively, fell into the selected criteria. These concerned 147 patients. Among these patients, 13 (8.8%) cases of drug-induced liver injuries were suspected. Seven cases were asymptomatic. Six cases were classified as serious by these criteria: hospitalization to investigate the cause of health status impairment (4 patients), prolongation of hospitalization (1 patient) and life-threathening (1 patient). Using the hospitalization database, the incidence of drug-induced liver injuries was estimated as 6.6 per 1000 inpatients a week. Only 1 case was reported by physicians in the same period. CONCLUSIONS: Computerization of biochemical data would allow the development of systems to improve detection of drug-induced injury. Moreover, underreporting remains important for such potentially serious ADRs, even in a university hospital.     

Prolongation of the QT interval and cardiac arrhythmias associated with cisapride: limitations of the pharmacoepidemiological studies conducted and proposals for the future

Not all hazards can be identified from clinical studies prior to marketing of medicinal products. Pre-marketing large-scale trials for cisapride did not report any serious cardiac arrhythmias. After a long period of availability in several countries it was withdrawn in 2000 because of reports of serious, and in many cases fatal, cardiac events. Whilst spontaneous reporting systems for adverse drug reactions (ADRs) have limitations such as under-reporting, they are an effective system for signal generation, particularly of rare ADRs. Pharmacoepidemiological studies aim to identify and calculate the incidence of adverse reactions, with increased sensitivity to less common ADRs compared to randomised controlled trials, yet cohort sizes may be insufficient to detect very rare ADRs such as drug-induced Torsade de Pointes, with an estimated incidence of the order of 1 per 12,000 to 1 per 120,000 patients. Several pharmacoepidemiological studies investigated adverse events associated with cisapride, one of which specifically examined the association between serious cardiac arrhythmias and cisapride. These observational studies were conducted using large population databases, but each failed to identify sufficient cases to establish a causal relationship. Explanations include that the cohort sample sizes were too small, and either under-, or mis-reporting of events of interest may have occurred. To estimate the risk of very rare adverse events, pharmacoepidemiological studies require very large numbers. Furthermore, the events in question need to be clinically recognisable by doctors and adequately documented in patients' notes, computer records, or on study questionnaires. The establishment of a national registry for drug-induced QT prolongation to identify cases and correlate clinical information may help to better identify these rare ADRs earlier. Such proactive surveillance could avoid unnecessary delays for other drugs where QT prolongation and serious cardiac arrhythmias may be an issue.     

5277例中药不良反应分析

目的了僻中药不良反应发生情况。方法通过对2006—2008年上海市药品不良反应监测中心收集的5277例中药不良反应应用统计分析和PRR值计算,进行中药不良反应情况分析。结果中药发生的不良反应主要为皮肤附件损害、过敏性反应和消化系统损害;严重不良反应为2．8％;应用PRR值检测到药物不良反应信号91个,值得进一步研究。结论中药不良反应一般较为轻微,有意义的不良反应较少。PRR值计算简单,可用于不良反应信号检测。     

宝山区405例新的/严重的药品不良反应报告分析

目的通过药品不良反应(ADR)报告的统计分析,发掘警戒信号,提高药品不良反应监测工作质量,促进临床用药安全。方法选取上海市宝山区2010年1～6月份上报的新的严重的ADR报告表405例,采用EXCEL电子表格和手工筛选方法,从多个维度进行统计分析。结果 405例ADR中,60岁以上患者192例(47.1%);引起ADR的药品主要是中药制剂156例(37.8%),抗微生品药140例(33.9%);用药途径中静脉注射239例(57.7%);ADR主要累及消化系统、皮肤和神经系统,分别占34.1%、22.3%和20.9%。结论 ADR的发生与诸多因素相关,包括患者年龄、药品种类和给药途径等,特别要重视中药制剂和抗微生物药品的不良反应监测,临床表现也呈现多元化,应加强ADR的监测,科学合理用药,确保用药的安全、有效。