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Unintentional drowning: Role of medicinal drugs and alcohol.

ABSTRACT: Alcohol is a well-known risk factor in unintentional drownings. Whereas psychotropic drugs, like alcohol, may cause psychomotor impairment and affect cognition, no detailed studies have focused on their association with drowning. Finland provides extensive post-mortem toxicological data for studies on drowning because of its high medico-legal autopsy rates.Drowning cases, 2000 through 2009, for which post-mortem toxicological analysis was performed, came from the database of the Toxicological Laboratory, Department of Forensic Medicine, University of Helsinki, using the ICD-10 nature-of-injury code T75.1. The data were narrowed to unintentional drowning, using the ICD-10 external-injury codes V90, V92, and W65-74. Each drowning case had its blood alcohol concentration (BAC) and concentrations of other drugs recorded. Evaluation of the contribution of psychotropic drugs to drowning was based on their blood concentration by means of a 6-grade scale.Among victims ?15 years old, unintentional drownings numbered 1697, of which, 303 (17.9%) were boating-related and 1394 (82.1%) non-boating-related. Among these, 65.0% of boating-related and 61.8% of non-boating-related victims were alcohol-positive (=BAC ? 50 mg/dL). The male-to-female ratio in alcohol-positive drownings was 7.3. At least one psychotropic drug appeared in 453 (26.7%) drowning cases, with some victims' bodies showing up to 7 different drugs. Overall 70 different psychotropic drugs were detectable, with 134 (7.9%) cases both alcohol-negative and psychotropic-drug-positive, of these, 59 (3.5%) were graded 4 to 6, indicating a possible to very probable contribution to drowning. Our findings suggest that psychotropic drugs may play a significant role in drowning, in up to 14.5% of cases, independently or in association with alcohol.Psychotropic drugs alone or in association with alcohol may be an overlooked risk factor in drowning, due to their effects on psychomotor function and cognition. Future studies should also address other mechanisms-for instance drug-induced long-QT syndrome-by which drugs may contribute to drowning.

SUBMITTER: Pajunen T

PROVIDER: S-EPMC5437510 | biostudies-other | 2017 May

REPOSITORIES: biostudies-other

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Unintentional drowning: Role of medicinal drugs and alcohol.

Pajunen Tuulia T Vuori Erkki E Vincenzi Frank F FF Lillsunde Pirjo P Smith Gordon G Lunetta Philippe P

BMC public health 20170519 1

<h4>Background</h4>Alcohol is a well-known risk factor in unintentional drownings. Whereas psychotropic drugs, like alcohol, may cause psychomotor impairment and affect cognition, no detailed studies have focused on their association with drowning. Finland provides extensive post-mortem toxicological data for studies on drowning because of its high medico-legal autopsy rates.<h4>Methods</h4>Drowning cases, 2000 through 2009, for which post-mortem toxicological analysis was performed, came from t ...[more]

PMID: 28521790

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Project description:BACKGROUND:Uptake of medicinal drugs (preventive or treatment) is among the approaches used to control disease outbreaks, and therefore, it is of vital importance to be aware of the counts or frequencies of most commonly used drugs and trending topics about these drugs from consumers for successful implementation of control measures. Traditional survey methods would have accomplished this study, but they are too costly in terms of resources needed, and they are subject to social desirability bias for topics discovery. Hence, there is a need to use alternative efficient means such as Twitter data and machine learning (ML) techniques. OBJECTIVE:Using Twitter data, the aim of the study was to (1) provide a methodological extension for efficiently extracting widely consumed drugs during seasonal influenza and (2) extract topics from the tweets of these drugs and to infer how the insights provided by these topics can enhance seasonal influenza surveillance. METHODS:From tweets collected during the 2012-13 flu season, we first identified tweets with mentions of drugs and then constructed an ML classifier using dependency words as features. The classifier was used to extract tweets that evidenced consumption of drugs, out of which we identified the mostly consumed drugs. Finally, we extracted trending topics from each of these widely used drugs' tweets using latent Dirichlet allocation (LDA). RESULTS:Our proposed classifier obtained an F1 score of 0.82, which significantly outperformed the two benchmark classifiers (ie, P<.001 with the lexicon-based and P=.048 with the 1-gram term frequency [TF]). The classifier extracted 40,428 tweets that evidenced consumption of drugs out of 50,828 tweets with mentions of drugs. The most widely consumed drugs were influenza virus vaccines that had around 76.95% (31,111/40,428) share of the total; other notable drugs were Theraflu, DayQuil, NyQuil, vitamins, acetaminophen, and oseltamivir. The topics of each of these drugs exhibited common themes or experiences from people who have consumed these drugs. Among these were the enabling and deterrent factors to influenza drugs uptake, which are keys to mitigating the severity of seasonal influenza outbreaks. CONCLUSIONS:The study results showed the feasibility of using tweets of widely consumed drugs to enhance seasonal influenza surveillance in lieu of the traditional or conventional surveillance approaches. Public health officials and other stakeholders can benefit from the findings of this study, especially in enhancing strategies for mitigating the severity of seasonal influenza outbreaks. The proposed methods can be extended to the outbreaks of other diseases.

Project description:BackgroundThe use of herbal medicinal products (HMPs) is common among older adults; however, little is known about concurrent use with prescription drugs, as well as potential interactions associated with such combinations.ObjectiveThe aim of this systematic review was to identify and evaluate the literature on concurrent prescription and HMP use among older adults to assess prevalence, patterns, potential interactions and factors associated with this use.MethodsSystematic searches were conducted in the MEDLINE, PsycINFO, EMBASE, CINAHL, AMED, Web of Science and Cochrane databases from inception to May 2017 for studies reporting concurrent use of prescription medicines with HMPs in adults ? 65 years of age. Quality was assessed using the Joanna Briggs Institute checklists. And the Evidence for Policy and Practice Information and Co-ordinating Centre (EPPI-Centre) three-stage approach to mixed method research was used to synthesise data.ResultsTwenty-two studies were included. A definition of HMPs or what was considered an HMP was frequently missing. Prevalence of concurrent use by older adults varied widely between 5.3 and 88.3%. Prescription medicines most combined with HMPs were antihypertensive drugs, ?-blockers, diuretics, antihyperlipidemic agents, anticoagulants, analgesics, antihistamines, antidiabetics, antidepressants and statins. The HMPs most frequently used were Ginkgo biloba, garlic, ginseng, St John's wort, Echinacea, saw palmetto, evening primrose oil and ginger. Potential risks of bleeding due to the use of Ginkgo biloba, garlic or ginseng with aspirin or warfarin was the most reported herb-drug interaction. Some data suggest being female, and having a lower household income and less than a high-school education were associated with concurrent use.ConclusionThe prevalence of concurrent prescription drugs and HMP use among older adults is substantial and potential interactions have been reported. Knowledge of the extent and manner in which older adults combine prescription drugs will aid healthcare professionals in appropriately identifying and managing patients at risk. Systematic Review Registration Number: PROSPERO 2014:CRD42014009091.

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Unintentional drowning: Role of medicinal drugs and alcohol.

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Unintentional drowning: Role of medicinal drugs and alcohol.

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