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Objectives: The Major Depression Inventory (MDI) was constructed to assess DSM‐IV and ICD‐10 depression symptoms, and does not fully cover the symptoms listed in DSM‐5 and ICD‐11. This study aimed to augment the MDI to the new diagnostic standards by adding a new item, and to assess and compare the measurement performance of the MDI items and diagnostic algorithms for major depression according to DSM‐IV, ICD‐10, DSM‐5 and ICD‐11. Methods: Surveys collected 2001–2003 and 2021, including self‐assessed MDI were used. A new hopelessness item was constructed and analyzed alongside the hopelessness item in the Symptom Checklist. The performance of items was compared using Rasch and Mokken analyses. Criterion validity was examined using equivalent diagnoses from psychiatric interview (Schedules for Clinical Assessments in Neuropsychiatry [SCAN]) as standard. Results: MDI information was provided by 8511 individuals in 2001–2003 (SCAN subsample n = 878), and 8863 in 2021. All items, including hopelessness had good psychometric properties. Sensitivity ranged between 56% and 70%, and specificity between 95% and 96%, indicating similar criterion validity. Conclusions: Hopelessness and the MDI items had good psychometrics. MDI for DSM‐5 and ICD‐11 had similar validity as for DSM‐IV and ICD‐10. We recommend that MDI is updated to DSM‐5 and ICD‐11 by adding a hopelessness item. [ABSTRACT FROM AUTHOR]

It has been shown that newly initiated opioid therapy increases the risk of fall-related injuries. Yet, it remains to be determined whether drug-drug interactions can affect this negative effect, for instance with drugs inhibiting cytochrome P4502 D6 ( CYP2 D6) that metabolizes codeine and also has a partial effect on tramadol and oxycodone. Our aim was to investigate how CYP2 D6-inhibiting drugs contribute to explaining the risk of fall-related injuries for newly initiated opioid treatments with codeine, tramadol or oxycodone. Data from a Swedish national case-cross over study were revisited. This study identified a total of 167,257 fall-related injuries leading to hospitalization that occurred between 1 May 2006 and 31 December 2009 and linked information about dispensed drugs to them. Use of newly dispensed opioids in the 28 days before fall-related injury with and without CYP2 D6-inhibiting drugs was compared with an earlier control period. For codeine, there was a two-times increased risk with concomitant CYP2 D6-inhibiting drug use ( OR, 1.76; 95% CI 1.40-2.20) and a three-times risk increase without ( OR, 3.17; 95% CI 2.88-3.50). For tramadol, the risks were doubled when CYP2 D6-inhibiting drugs were used ( OR, 2.19; 95% CI 1.84-2.60) and tripled without their use ( OR, 3.04; 95% CI 2.82-3.27). The risks were about the same for oxycodone, morphine, fentanyl and buprenorphine irrespective of CYP2 D6-inhibiting drug use. In newly initiated opioid therapies, drug-drug interactions from concomitant use of CYP2 D6-inhibiting drugs are associated with a lower risk of fall-related injury for codeine and tramadol that undergo metabolism via CYP2 D6, but not for other opioids. [ABSTRACT FROM AUTHOR]

Aim: Psychotropic drugs like opioids and benzodiazepines are prescribed for traumas resulting from road traffic crashes and the risk of developing an addiction deserves consideration. This study aims to shed light on how the consumption of those drugs evolves over time among older road traffic injury (RTI) victims. Methods: We conducted a nationwide Swedish register‐based longitudinal study to identify trajectories of post‐RTI psychotropic drug use. All individuals aged 50 years and older who had a hospital visit for an RTI from 2007 to 2015 were followed up during a 2‐year period; those who used the drugs prior to the RTI were excluded. Trajectories were identified by performing latent class trajectory analysis on drug dispensation data for opioids and benzodiazepines separately (66 034 and 66 859 adults, respectively, in total). Results: Three trajectories were identified for opioids and four for benzodiazepines. The largest group in both instances included people with no‐use/minimal use throughout the follow‐up (81.3% and 92.8%). "Sporadic users" were more frequent among users of opioids (16.7%) than benzodiazepines (4.3%), whereas "chronic users" were found in similar proportions (2.0% and 1.8%). "Delayed chronic use" characterized the fourth group of benzodiazepine users (1.0%). Conclusion: Several trajectories of psychotropic drug use were identified after RTI, from limited to chronic. Although chronic use was uncommon, a better understanding of the factors likely to increase that risk is warranted given the seriousness of the problem. [ABSTRACT FROM AUTHOR]

When studying the effect of a transient exposure on the risk of a rare illness, for time and cost effectiveness it is desirable to follow a cohort of individuals who are 'prone' to the illness over an observation period. In this paper, we present a method of analysis for data arising from such a study. The proposed method can be used to estimate the relative risk of an exposure triggering the illness and the distribution of the time delay from exposure to the onset of illness. The model is extended to include covariate effects and to the situation where there are two types of exposure. For the two types of exposures situation, a model to handle a possible synergism of the exposures is proposed. Finally, the method is applied to study the potential triggers of attacks of Menière's disease. Copyright © 2006 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Aims To investigate the triggering effects of alcohol, illegal substances and major classes of prescribed psychotropic drugs on criminal violence. Design A case-crossover design, using each subject as its own control. Setting and participants A consecutive sample of 133 violent offenders was recruited from a forensic psychiatric evaluation unit and a national prison evaluation unit in Sweden during 2002–03. Measurements Offenders were assessed with structured interviews. Risk estimates were based on hazard periods of 24 hours. We used standard Mantel–Haenszel methods for statistical analyses. Findings A 13.2-fold increase of risk of violence [95% confidence interval (CI): 8.2–21.2] was found within 24 hours of alcohol consumption. This increase in violence risk was similar among individuals combining alcohol with benzodiazepines [Relative risk (RR) = 13.2, 95% CI: 4.9–35.3]. Use of benzodiazepines alone in regular doses (RR = 0.4, 95% CI: 0.2–0.5) or antidepressants [selective serotonin reuptake inhibitors (SSRIs) or tricyclics] (RR = 0.4, 95% CI: 0.3–0.8) was associated with a lowered risk for violence. Conclusions This study confirmed that alcohol is a strong trigger of criminal violence. Benzodiazepines in combination with alcohol caused no further increase of violence risk. Benzodiazepines in regular doses and antidepressants may inhibit violence, but further studies are needed to verify causality. The case-crossover method can contribute to research on the proximal causes of criminal violence. [ABSTRACT FROM AUTHOR]