Medication Overuse Headache

Medication overuse headache (MOH) is defined in the latest ICHD-3 criteria as a secondary headache caused by worsening of a pre-existing headache (usually a primary headache) owing to overuse of one or more attack-aborting or pain-relieving medications. MOH can be debilitating and results from biochemical and functional brain changes induced by certain medications taken too frequently. Various risk factors some modifiable, other non-modifiable (Multiple Gene Polymorphisms) have been hypothesised in MOH. Psychiatric co-morbidities in MOH are noticeably (anxiety and depression) found to be co morbid disorders by more than chance. This has to be managed effectively along with treatment strategies for MOH for efficacious response to withdrawal treatment. Ample literature and clinical evidence shown in prospective trials, that withdrawal therapy is the best treatment for MOH. The mainstay of MOH treatment is not only to detoxify the patients and to stop the chronic headache but also, most likely, to improve responsiveness to acute or prophylactic drugs. Studies advocating prophylactic treatment with good response to mainly topiramate and OnabotulinumtoxinA do exist, less prominent for prednisolone, however, not recommended for every patient. Management may be complex and must be done via MDT approach with involvement of specialists when needed along with incorporating adequate treatment of acute withdrawal symptoms, educational and behavioural programs to ensure patient understanding of the condition and compliance. There are arguments on either sides of inpatient and outpatient withdrawal for MOH patients dependent heavily on the individual circumstances i.e. patient’s motivation, the duration of the overuse, the type of overused drugs, possible previous history of detoxification failures and co morbidities. Treatment trials are still required to determine for clinicians the best evidence-based approach for helping these patients break their headache cycle

A STUDY ON QUALITY OF LIFE IN PATIENTS FOLLOWING MYOCARDIAL INFARCTION

Abstract : Subjective well being has been widely researched in the past few decades and in practical terms it is a term that encompasses the various ways people evaluate their lives including concepts such as life satisfaction, work and health etc. Since, it is well known, that psychological factors including stress, anxiety, poor sleeping habits etc are known to be important causes of life style disorders like myocardial infraction, we started with the hypothesis that subjective well being of post acute MI patients must be poorer compared to normal subjects in the same age group. A comparative study between normal subjects and post acute myocardial infarction patients was undertaken to compare their subjective well being and current mental health status, at Safdarjung Hospital, New Delhi using standardized questionnaires. The results showed significantly higher negative affect like inadequate mental mastery over immediate environment, perceived ill health including disturbed sleep, deficiency in social contacts, and a general ill being about life in the MI group (P<0.05). Regarding the positive emotions, the normal subjects showed a higher general well being positive affect, higher transcedence and higher perception of social support. (P<0.05). The GHQ also yielded significantly better sleeping habits, less anxiety, better perception of health and more satisfaction with life in the normal subjects compared to post acute MI patients. (P<0.05)

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

A Novel Approach to Modeling Zika Case Counts for Demographic Groups

Zika, a formerly obscure, little-studied virus, recently burst onto the global scene, infecting over a million individuals across more than 33 countries in under a year. The virus ignited an explosion of research that focused on simulating weekly case counts through mathematical models and characterizing the two most potent consequences of the disease, microcephaly and Guillain-Barré Syndrome (GBS). While such models have largely been successful, little literature has attempted to develop predictions for case counts by demographic group. This is an especially important deficiency given preliminary analyses suggesting that Zika may disproportionately affect certain demographic groups, notably women. This thesis aims to fill this gap by creating a novel, flexible framework to generate weekly demographic case counts using simple demographic data.We focus on analyzing gender and population density in the 2013-2014 outbreak of Zika in French Polynesia. To begin, we survey existing literature to select a base framework, design a noisy case assignment policy, and identify a series of transmission parameter modifications. Next, we implement the assignment policy and the parameter modifications in the base framework, validate the predictions using self-developed evaluation criterion, and contextualize the results in broader literature. Finally, we conduct an illustrative impact analysis to demonstrate how our model can be used to guide policymakers and public health officials. We end with a discussion of our methodology’s limitations, potential for future work, and closing remarks.This thesis establishes the ability for our model to predict weekly case counts by gender in French Polynesia and, more broadly, leverage population-level demographic proportions to derive a reasonable range of case counts, opening the door to future characterization and prediction built upon the framework outlined in this paper

Sclerodermoid hands with waxy papules on face

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