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    <title>Straatman, H.</title>
    <link>http://repub.eur.nl/res/aut/34454/</link>
    <description>List of Publications</description>
    <language>en</language>
    <image>
      <url>http://repub.eur.nl/static-eur/img/logo.png</url>
      <title>RePub, Erasmus University Rotterdam</title>
      <link>http://repub.eur.nl</link>
    </image>
    <item>
      <title>Using electronic health care records for drug safety signal detection: A comparative evaluation of statistical methods (Article)</title>
      <link>http://repub.eur.nl/res/pub/37403/</link>
      <pubDate>2012-10-01T00:00:00Z</pubDate>
      <description>BACKGROUND: Drug safety monitoring relies primarily on spontaneous reporting, but electronic health care record databases offer a possible alternative for the detection of adverse drug reactions (ADRs). OBJECTIVES: To evaluate the relative performance of different statistical methods for detecting drug-adverse event associations in electronic health care record data representing potential ADRs. RESEARCH DESIGN: Data from 7 databases across 3 countries in Europe comprising over 20 million subjects were used to compute the relative risk estimates for drug-event pairs using 10 different methods, including those developed for spontaneous reporting systems, cohort methods such as the longitudinal gamma poisson shrinker, and case-based methods such as case-control. The newly developed method "longitudinal evaluation of observational profiles of adverse events related to drugs" (LEOPARD) was used to remove associations likely caused by protopathic bias. Data from the different databases were combined by pooling of data, and by meta-analysis for random effects. A reference standard of known ADRs and negative controls was created to evaluate the performance of the method. MEASURES: The area under the curve of the receiver operator characteristic curve was calculated for each method, both with and without LEOPARD filtering. RESULTS: The highest area under the curve (0.83) was achieved by the combination of either longitudinal gamma poisson shrinker or case-control with LEOPARD filtering, but the performance between methods differed little. LEOPARD increased the overall performance, but flagged several known ADRs as caused by protopathic bias. CONCLUSIONS: Combinations of methods demonstrate good performance in distinguishing known ADRs from negative controls, and we assume that these could also be used to detect new drug safety signals. Copyright </description>
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      <title>Platelet aggregation inhibitors, vitamin K antagonists and risk of subarachnoid hemorrhage (Article)</title>
      <link>http://repub.eur.nl/res/pub/32946/</link>
      <pubDate>2011-03-01T00:00:00Z</pubDate>
      <description>Background: Use of platelet aggregation inhibitors and vitamin K antagonists has been associated with an increased risk of intracranial hemorrhage (ICH). Whether the use of these antithrombotic drugs is associated with an increased risk of subarachnoid hemorrhage (SAH) remains unclear, especially as confounding by indication might play a role. Objective: The aim of the present study was to investigate whether use of platelet aggregation inhibitors or vitamin K antagonists increase the risk of SAH. Methods: We applied population-based case-control, case-crossover and case-time-control designs to estimate the risk of SAH while addressing issues both of confounding by indication and time varying exposure within the PHARMO Record Linkage System database. This system includes drug dispensing records from community pharmacies and hospital discharge records of more than 3million community-dwelling inhabitants in the Netherlands. Patients were considered a case if they were hospitalized for a first SAH (ICD-9-CM code 430) in the period between 1st January 1998 and 31st December 2006. Controls were selected from the source population, matched on age, gender and date of hospitalization. Conditional logistic regression was used to estimate multivariable adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for the risk of SAH during use of platelet aggregation inhibitors or vitamin K antagonists. In the case-crossover and case-time-control designs we selected 11 control periods preceding the index date in successive steps of 1month in the past. Results: In all, 1004 cases of SAH were identified. In the case-control analysis the adjusted OR for the risk of SAH in current use of platelet aggregation inhibitors was 1.32 (95% CI: 1.02-1.70) and in current use of vitamin K antagonists 1.29 (95% CI: 0.89-1.87) compared with no use. In the case-crossover analysis the ORs for the risk of SAH in current use of platelet aggregation inhibitors and vitamin K antagonists were 1.04 (95% CI: 0.56-1.94) and 2.46 (95% CI: 1.04-5.82), respectively. In the case-time-control analysis the OR for platelet aggregation inhibitors was 0.50 (95% CI: 0.26-0.98) and for vitamin K antagonists 1.98 (95% CI: 0.82-4.76). Conclusion: The use of platelet aggregation inhibitors was not associated with an increased SAH risk; the modest increase observed in the case-control analysis could be as a result of confounding. The use of vitamin K antagonists seemed to be associated with an increased risk of SAH. The increase was most pronounced in the case-crossover analysis and therefore cannot be explained by unmeasured confounding. </description>
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      <title>Withdrawal of statins and risk of subarachnoid hemorrhage (Article)</title>
      <link>http://repub.eur.nl/res/pub/25293/</link>
      <pubDate>2009-08-01T00:00:00Z</pubDate>
      <description>BACKGROUND AND PURPOSE-: Vascular endothelium, which can be affected by statins, is believed to play a substantial role in subarachnoid hemorrhage (SAH). Our objective was to estimate the association between use and withdrawal of statins and the risk of SAH. METHODS-: We conducted a population-based case-control study within the PHARMO database. A case was defined as a person hospitalized for SAH (ICD-9-CM code 430) in the period January 1, 1998 to December 31, 2006. Ten randomly chosen controls were matched to each case on age, gender, and calendar date. RESULTS-: During the study period 1004 incident cases of SAH were identified. Current use of statins did not significantly decrease the risk of SAH (OR=0.77, 95% CI 0.55 to 1.07). The odds ratio for recent withdrawal compared to nonusers was 1.62 (95% CI 0.96 to 2.73). Compared to current use, recent withdrawal was associated with an increased risk of SAH (OR=2.34, 95% CI 1.35 to 4.05). Interaction analysis showed that the effect of statin withdrawal was highest in patients who had also recently stopped antihypertensive drugs (OR=6.77, 95% CI 2.10 to 21.8). CONCLUSIONS-: Current use of statins seems to lower the risk of SAH, although the reduction was not significant in new users. Statin withdrawal increased the risk of SAH by a factor 2, even more in patients who had also recently stopped their antihypertensive treatment. </description>
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      <title>Increased risk of fatal prostate cancer may explain the rise in mortality in The Netherlands (Article)</title>
      <link>http://repub.eur.nl/res/pub/9137/</link>
      <pubDate>1999-01-01T00:00:00Z</pubDate>
      <description>BACKGROUND: Several lines of evidence suggest that, as a result of
          improved diagnostic techniques, the increase in incidence of prostate
          cancer is due largely to increased detection of subclinical cases. Between
          1971 and 1989, a considerable increase in incidence was found in
          Southeastern Netherlands among men aged under 60 years without an
          improvement in prognosis. We hypothesized that in addition to the increase
          due to increased detection, a genuine increase in incidence has occurred
          in the last two decades and that this should be reflected in national
          mortality rates. METHODS: Age-specific and age-adjusted mortality rates
          were calculated to determine whether mortality due to prostate cancer
          continued to increase after 1990. Using log-linear Poisson modelling
          according to Clayton and Schifflers, we estimated the contribution of
          period and cohort effects to prostate cancer mortality between 1955 and
          1994. RESULTS: The age-adjusted mortality increased from 22 in 1955-1959
          to 33 per 10(5) in 1990-1994 (European standardized rate). For men under
          65, the rates stabilized after 1989. The age-cohort model fitted the data
          better than the age-period model. Therefore, the increase in mortality can
          be explained largely by the increasing risk for successive birth cohorts
          for men born until 1930. However, more frequent reporting of prostate
          cancer as the underlying cause of death (partly attributable to a decline
          in competing causes of death) may have occurred as well. CONCLUSIONS: Our
          findings suggest an increased risk of fatal prostate cancer in The
          Netherlands between 1955 and 1994.</description>
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