“It’s called overamping”: experiences of overdose among people who use methamphetamine

Background The USA is experiencing increases in methamphetamine use and methamphetamine-related or attributed deaths. In the current study, we explore qualitative narratives of methamphetamine overdose and strategies used by people who use drugs to reduce the undesirable effects associated with methamphetamine use. Methods We conducted 21 qualitative interviews with people over the age of 18 who reported using methamphetamine in the previous 3 months in Nevada and New Mexico. Interviews were recorded, transcribed, and analyzed using qualitative thematic analysis. Results Respondents described a constellation of psychological and physical symptoms that they characterized as “overamping,” experienced on a continuum from less to more severe. Reports of acute, fatal methamphetamine overdose were rare. Few reported seeking medical attention for undesirable effects (usually related to psychological effects). General self-care strategies such as sleeping and staying hydrated were discussed. Conclusions When asked directly, our respondents claimed that acute, fatal methamphetamine overdose is rare or even impossible. However, they described a number of undesirable symptoms associated with overconsumption of methamphetamine and had few clinical or harm reduction strategies at their disposal. Addressing this current wave of drug-related deaths will require attention to the multiple factors that structure experiences of methamphetamine “overdose,” and a collaborative effort with PWUDs to devise effective harm reduction and treatment strategies.

Sports Injury and Illness Epidemiology: Thailand Team Surveillance During the 30th Southeast Asian Games

Background: Injury and illness surveillance in sports is the first step of the injury prevention model that generates effective injury prevention measures. Objectives: To identify the incidence, severity, and causes of injuries and illness in the Thailand national team during the 30th Southeast Asian (SEA) Games. Methods: All medical encounters were documented using the International Olympic Committee (IOC) injury and illness surveillance system for multi-sport events. We recorded the daily occurrence of injuries and illnesses reported by Thailand’s medical teams over the 12 days of the competition period. Results: Among 980 Thai athletes (568 male and 412 female), that participated in the 30th SEA Games, a total of 105 injuries and illnesses were reported. There were 84 injuries and 21 illnesses which equated to an incidence of 86 injuries and 21 illnesses per 1000 athletes. The most commonly injured body part was the lower leg (14% of all injuries), followed by the shoulder and clavicle. Ligament sprain or rupture and contusion (25% of all injuries) were reported as the most common type of injury. Of all injuries, 56 were classified as needing medical attention (only), 26 caused performance restriction, and two caused complete-time loss. The most common athlete illness was respiratory illness (48% of all illnesses) followed by gastrointestinal illness (19% of all illnesses). One-third (7 out of 21) of athlete illnesses restricted the athlete's performance, and the remaining 14 only required medical attention. Conclusions: Overall, 8% of athletes incurred at least one injury during the competition, and 2% suffered from an illness. Lower leg injury and respiratory illness were the most common, which is similar to other multi-sport events. Based on the research data, injury prevention, especially of ligamentous sprain and lower limb injuries, should be the focus in multi-sport events.

An Assessment of the Philippine Hospital Resources as Predictors of the Case Fatality Rate of COVID – 19

In the heightened effects of the pandemic, health resources have been in constant limbo as supplies and availability of hospital resources take a toll as COVID-19 cases surge, resulting in shortages. Thus, health systems are overwhelmed, resulting in a higher fatality rate since the capacity to provide medical attention is diminished. In this paper, hospital resources refer to mechanical ventilators, ICU, isolation, and ward beds which are the critical factors of the case fatality rate (CFR) of COVID-19 in the Philippines. Data were retrieved from the Department of Health (DOH) Case Bulletins from October 26, 2020, to June 30, 2021, with 248 total observations. This research used the Ordinary Least Squares (OLS) Multiple Regression to determine if hospital resources are the predictors of the case fatality rate of COVID-19. Furthermore, the results show a significant relationship between the hospital resources and the case fatality rate of COVID-19 in the Philippines. This study can become a framework for further research concerned about hospital resources as the predictors of case fatality rates of different diseases in a pandemic.

Bias Investigation in Artificial Intelligence Systems for Early Detection of Parkinson’s Disease: A Narrative Review

Background and Motivation: Diagnosis of Parkinson’s disease (PD) is often based on medical attention and clinical signs. It is subjective and does not have a good prognosis. Artificial Intelligence (AI) has played a promising role in the diagnosis of PD. However, it introduces bias due to lack of sample size, poor validation, clinical evaluation, and lack of big data configuration. The purpose of this study is to compute the risk of bias (RoB) automatically. Method: The PRISMA search strategy was adopted to select the best 39 AI studies out of 85 PD studies closely associated with early diagnosis PD. The studies were used to compute 30 AI attributes (based on 6 AI clusters), using AP(ai)Bias 1.0 (AtheroPointTM, Roseville, CA, USA), and the mean aggregate score was computed. The studies were ranked and two cutoffs (Moderate-Low (ML) and High-Moderate (MH)) were determined to segregate the studies into three bins: low-, moderate-, and high-bias. Result: The ML and HM cutoffs were 3.50 and 2.33, respectively, which constituted 7, 13, and 6 for low-, moderate-, and high-bias studies. The best and worst architectures were “deep learning with sketches as outcomes” and “machine learning with Electroencephalography,” respectively. We recommend (i) the usage of power analysis in big data framework, (ii) that it must undergo scientific validation using unseen AI models, and (iii) that it should be taken towards clinical evaluation for reliability and stability tests. Conclusion: The AI is a vital component for the diagnosis of early PD and the recommendations must be followed to lower the RoB.

Blunt Thoracic Aortic Injury and Contemporary Management Strategy

Thoracic aortic injury (TAI) is a leading cause of death in blunt chest trauma. Motor vehicle collisions are the commonest cause, and most patients die before receiving medical attention. Survivors who make it to the hospital also typically have other debilitating injuries with high morbidity. It is imperative to understand the nature of these injuries and implement current management strategies to improve patient outcomes. A literature review on contemporary management strategies on blunt thoracic aortic injuries was performed to evaluate the available evidence using online databases (PubMed and Google Scholar). We found that there has been an improved survival owing to the current advancement in diagnostic modalities, the use of contrast-enhanced computed tomography angiography, and contemporary management techniques with an endovascular approach. However, careful assessment of patients and a multidisciplinary effort are necessary to establish an accurate diagnosis. Minimal aortic injuries (intimal tear and aortic hematoma) can be managed medically with careful monitoring of disease progression with imaging. Endovascular approaches and delayed intervention are key strategies for optimal management of high-grade TAI.

Is concern for gynaecological alarm symptoms associated with healthcare-seeking? A Danish population-based cross-sectional study

Background Diagnosing cancer at an early stage increases survival, and for most gynaecological cancers the diagnostic pathway is initiated, when women seek medical attention with symptoms. As many factors influence healthcare-seeking, knowledge about these factors is important. Concern can act as a barrier or a trigger for women experiencing gynaecological alarm symptoms. This study aimed to examine whether concern for the symptom or the current health was associated with healthcare-seeking among women with gynaecological alarm symptoms. Methods Some 100,000 randomly selected Danish citizens were invited to a national web-based survey. The questionnaire included items regarding symptom experiences, healthcare-seeking and concern for the experienced symptoms and current health. This study included 5019 women with self-reported gynaecological alarm symptoms (pelvic pain, pain during intercourse, bleeding during intercourse and postmenopausal bleeding). Concern was reported on a 5-point Likert scale from ‘not at all’ to ‘extremely’. Data were analysed using multivariate logistic regression models. Results Women who were ‘extremely’ concerned about a gynaecological alarm symptom had two to six times higher odds of reporting healthcare-seeking compared to women who were ‘not at all’ concerned. Symptom concern was associated with higher odds of healthcare-seeking for all four gynaecological alarm symptoms and the odds increased with increasing levels of concern. Additionally, concern for current health was associated with higher odds of healthcare-seeking. Concern for current health as expressed by others was positively associated with healthcare-seeking but had only minor influence on the association between concern for current health and healthcare-seeking. Conclusions Concern for a gynaecological alarm symptom and for current health was positively associated with healthcare-seeking. The results can be used for future informational health campaigns targeting individuals at risk of postponing warranted healthcare-seeking.

Full title: COVID-19 disease progression according to initial symptoms. A telemedicine cohort study.

Objective COVID-19 progression to severe or critical illness may be related to initial clinical presentation. Main objective was to identify initial symptoms related to highest risk of disease progression, in mild or moderate suspected or confirmed COVID-19 patients or in asymptomatic subjects in contact with a recently diagnosed patient. Design and methods Historic cohort study of Mexican patients with suspected or confirmed mild or moderate COVID-19 or asymptomatic subjects in recent contact with positive patients. They sought medical attention in Centro Medico ABC or claimed for remote attention, and daily telemedicine follow up until recovery or illness progression, from April 17th to October 08th 2020. Data excerpted for analysis were sex, age, body mass index, comorbidities, and signs, and symptoms presented in first day of disease manifestations and during follow up. We used logistic regression to identify initial symptoms associated with progression disease and through a conjunctive consolidation analysis a symptom index was created. Results 120 of 1635 patients (7.2%) had clinical progression disease. By logistic regression we found as initial symptoms related to progression: fever OR 3 (1.89-4.77, p<0.001), cough OR 2.34 (1.56-3.52, p<0.001), myalgias or arthralgias OR 1.69 (1.09-2.63, p=0.018), and fatigue OR 1.65 (1.08-2.53, p=0.019). Conjunctive consolidation was processed with the previous symptoms, and a 3 groups score resulted C-19PAIS Index: 1) Fever with cough or fever with fatigue, with a probability of progression disease of 29% (31/106 patients), 2) Fever or cough or fatigue or cough with fatigue, 10.7% (66/615 patients) and 3) No fever, no cough, no fatigue, 2% (23/914). Conclusions Initial symptoms predict clinical progression in COVID-19 patients.

Efficacy of Ghati Yantra Raktamokshana (Bloodletting with Modified Cupping) in Pain management of Ghridhrasi (Sciatica): A systematic review

Background & Objectives: Pain in Sciatica can be incredibly painful and intolerable which seeks immediate medical attention. Various treatment modalities are widely used but have side effects too. One of them is Ghati Yantra Raktamokshana (Bloodletting with modified cupping). This systematic review provides an assessment on evidence of pain management of Gridhrasi (Sciatica) by Ghati Yantra Raktamokshana (Bloodletting with Modified Cupping). Methods: The databases of PubMed, Scopus, Cochrane Library, AYUSH portal, Shodhganga, Clinical trial registry of India, Google scholar were searched systematically (since inception to February 2021) for relevant articles about the effect of Ghati Yantra Raktamokshana in pain management of Gridhrasi. All randomized controlled trials as well as non-randomized controlled trials, before and after studies and single group clinical studies assessing the efficacy of Ghati Yantra Raktamokshana in pain management of Gridhrasi was included. Results: The original search yielded 774 articles of which only 6 articles (1-pilot study, 1-case study and 4-single arm studies) met the inclusion criteria and they showed the effectiveness of Ghati Yantra Raktamokshana in Pain management of Gridhrasi. Interpretation & Conclusions: Though review shows that the Ghati Yantra Raktamokshana is effective in Pain management of Gridhrasi but due to the methodological and clinical heterogeneity and risk of bias of the included trials requires more strong evidences in terms of RCT’s with larger sample size and for longer duration to definitely conclude its effectiveness.

Leucocoria : Most Common Initial Sign of Retinoblastoma

Retinoblastoma is the most common intraocular cancer of childhood. We report the case of a 3-year-old child with unilateral leucocoria noticed by parents who revealed a retinoblastoma. Leucocoria can also indicate other vision threatening conditions : Coats’ disease, cataract, toxocariasis, retinopathy of prematurity for which prompt medical attention is needed.

The seeking medical attention in the urban adult population prior and during the coronavirus pandemic (COVID-19)

Introduction. The appeal of the population for medical care in the conditions of a pandemic and strict quarantine measures has not been sufficiently analyzed in the scientific medical literature to date. The purpose of the work. Analysis of the urban adult population’s access to medical care before and during the COVID-19 pandemic. Material and methods. Based on the materials of the consolidated statistical reports of Krasnoyarsk, the indicators of the appeal and morbidity of the adult population for 2017-2020 were studied. The obtained information was analyzed using absolute and relative values. Results. The analysis of the adult population’s appeal indicators in the pre-pandemic period and the COVID-19 pandemic period showed a decrease of 43.8%. The decrease in the population’s treatment for preventive purposes occurred in all points, except for points Z20-Z29 (potential health hazard associated with infectious diseases), the indicators of which increased by 67.4% or 11.4%. The decrease in the overall morbidity rate during the pandemic was due to a decrease in the frequency of referrals with previously known diseases by 80.4%. The primary morbidity rate increased by 64.3%. Discussion. The indicators of the incidence of the adult population of COVID-19 obtained by us have differences but do not contradict the data obtained by other researchers. As our study showed, the measures taken did not lead to a significant decrease in the population’s appeal to medical institutions. Conclusion. The comparative data obtained allows assessing the impact of the COVID-19 pandemic and the ongoing anti-epidemic measures on the treatment and morbidity of the adult population.