Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Background: In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends by cause at the national level is essential. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic scientific assessment of published, publicly available, and contributed data on incidence, prevalence, and mortality for a mutually exclusive and collectively exhaustive list of diseases and injuries. Methods: GBD estimates incidence, prevalence, mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) due to 369 diseases and injuries, for two sexes, and for 204 countries and territories. Input data were extracted from censuses, household surveys, civil registration and vital statistics, disease registries, health service use, air pollution monitors, satellite imaging, disease notifications, and other sources. Cause-specific death rates and cause fractions were calculated using the Cause of Death Ensemble model and spatiotemporal Gaussian process regression. Cause-specific deaths were adjusted to match the total all-cause deaths calculated as part of the GBD population, fertility, and mortality estimates. Deaths were multiplied by standard life expectancy at each age to calculate YLLs. A Bayesian meta-regression modelling tool, DisMod-MR 2.1, was used to ensure consistency between incidence, prevalence, remission, excess mortality, and cause-specific mortality for most causes. Prevalence estimates were multiplied by disability weights for mutually exclusive sequelae of diseases and injuries to calculate YLDs. We considered results in the context of the Socio-demographic Index (SDI), a composite indicator of income per capita, years of schooling, and fertility rate in females younger than 25 years. Uncertainty intervals (UIs) were generated for every metric using the 25th and 975th ordered 1000 draw values of the posterior distribution. Findings: Global health has steadily improved over the past 30 years as measured by age-standardised DALY rates. After taking into account population growth and ageing, the absolute number of DALYs has remained stable. Since 2010, the pace of decline in global age-standardised DALY rates has accelerated in age groups younger than 50 years compared with the 1990–2010 time period, with the greatest annualised rate of decline occurring in the 0–9-year age group. Six infectious diseases were among the top ten causes of DALYs in children younger than 10 years in 2019: lower respiratory infections (ranked second), diarrhoeal diseases (third), malaria (fifth), meningitis (sixth), whooping cough (ninth), and sexually transmitted infections (which, in this age group, is fully accounted for by congenital syphilis; ranked tenth). In adolescents aged 10–24 years, three injury causes were among the top causes of DALYs: road injuries (ranked first), self-harm (third), and interpersonal violence (fifth). Five of the causes that were in the top ten for ages 10–24 years were also in the top ten in the 25–49-year age group: road injuries (ranked first), HIV/AIDS (second), low back pain (fourth), headache disorders (fifth), and depressive disorders (sixth). In 2019, ischaemic heart disease and stroke were the top-ranked causes of DALYs in both the 50–74-year and 75-years-and-older age groups. Since 1990, there has been a marked shift towards a greater proportion of burden due to YLDs from non-communicable diseases and injuries. In 2019, there were 11 countries where non-communicable disease and injury YLDs constituted more than half of all disease burden. Decreases in age-standardised DALY rates have accelerated over the past decade in countries at the lower end of the SDI range, while improvements have started to stagnate or even reverse in countries with higher SDI. Interpretation: As disability becomes an increasingly large component of disease burden and a larger component of health expenditure, greater research and developm nt investment is needed to identify new, more effective intervention strategies. With a rapidly ageing global population, the demands on health services to deal with disabling outcomes, which increase with age, will require policy makers to anticipate these changes. The mix of universal and more geographically specific influences on health reinforces the need for regular reporting on population health in detail and by underlying cause to help decision makers to identify success stories of disease control to emulate, as well as opportunities to improve. Funding: Bill & Melinda Gates Foundation. © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 licens

Mining Twitter Data for Business Intelligence Using Naive Bayes Algorithm for Sentiment Analysis

Today social media has grown to be a big player in the way businesses and organizations operate, especially with the coronavirus pandemic increasing the online footprint of organizations. The use of data from social media to drive business intelligence is now of growing interest to both researchers and business owners. Business owners can now utilize platforms like Twitter to learn about their target audience and improve their business processes to meet their growing needs. Twitter makes it easy to see what is going or about to go viral and vital details like why it is going viral and the players behind it. This research aims to help business owners’ especially small and medium enterprises and start-ups gain a competitive advantage in their industry by using the "crowd wisdom" opportunity via social media. The proposed system is based on Twitter and crawls the platform for relevant data, including; locations, trends, and important actors (influencers) within a specified field; the system cleans the data and presents the information in an actionable format. Python was used for Twitter data mining, and sentiment analysis of the tweets was done using Naive Bayes classifiers

Association between long-term NSAID use and opioid abuse among patients with breast cancer

Background: Improving survival rates among patients with breast cancer has been associated with an increase in the prevalence of co-morbidities like cancer-related pain. Opioids are an important component in the management of pain among these patients. However, the progression from judicious use to abuse defeats the aim of pain control. Non-steroidal anti-inflammatory drugs (NSAIDs) are recommended as the first step in cancer-related pain management. Due to their anti-inflammatory, anti-neoplastic and neuroprotective properties, NSAIDs have been shown to reduce the risk of progression of certain cancers including breast cancers. In this study, we assessed whether an association exists between long-term NSAID use and opioid abuse among breast cancer survivors. We also explored the relationship between long-term NSAID use and inpatient mortality and length of stay (LOS). Methods: Using ICD-9-CM codes, we identified and selected women aged 18 years and older with breast cancer from the National Inpatient Sample. Our primary predictor was a history of long-term NSAID use. Multivariable regression models were employed in assessing the association between long-term NSAID use and opioid abuse, inpatient mortality and LOS. Results: Among 170,644 women with breast cancer, 7,838 (4.6%) reported a history of long-term NSAID use. Patients with a history of long-term NSAID use had lower odds of opioid abuse (adjusted odds ratio (aOR) 0.53; 95% CI [0.32–0.88]), lower in-hospital mortality (aOR 0.52; 95% CI [0.45–0.60]) and shorter LOS (7.12 vs. 8.11 days). Discussion: Further studies are needed to understand the underlying mechanism of the association between long-term NSAID use and opioid abuse

Cucumeropsis mannii seed oil protects against Bisphenol A‐induced testicular mitochondrial damages

Abstract There has been increasing search for the ameliorative properties of seed oils against toxicants. bisphenol A acts as an estrogenic endocrine‐disrupting chemical capable of causing male infertility. This study aimed to explore Cucumeropsis mannii seed oil effects against mitochondrial damage in rats using bisphenol A. Forty‐eight rats were randomly assigned to six groups (n = 6) of eight rats each and fed the same food and water for 6 weeks. The group A rats were given 1 mL olive oil, while the ones in group B were given bisphenol A at 100 mL/kg body weight via oral route. Group C received C. mannii seed oil 7.5 mL/kg body weight C. mannii seed oil, while group D, group E, and group F were pre‐administered bisphenol A at 100 mL/kg body weight, followed by treatment with C. mannii seed oil at 7.5, 5, and 2.5 mL/kg body weight, respectively. Antioxidant enzymes, glutathione, reactive oxygen species, testicular volume, malondialdehyde, body weight, and testicular studies were done using standard methods. The results of the bisphenol A‐administered group showed a significant decrease in the antioxidant enzymes, glutathione, body weight, and testicular volume with elevation in the levels of reactive oxygen species, malondialdehyde, and testicular indices. BPA + CMSO‐treated group showed a significant increase in GPx activity compared with BPA‐exposed rats. CMSO treatment significantly increased catalase activity in comparison with that of rats exposed to BPA. Remarkably, C. mannii seed oil and bisphenol A co‐administration significantly reversed the abnormalities observed in the dysregulated biochemical biomarkers. Our findings suggest that C. mannii seed oil has considerable antioxidant potential which can be explored in therapeutic development against systemic toxicity induced by exposure to bisphenol A. Cucumeropsis mannii seed oil protects against bisphenol A‐induced testicular mitochondria damages

<i>Cucumeropsis mannii</i> seed oil protects against bisphenol A-induced hepatotoxicity by mitigating inflammation and oxidative stress in rats

From Crossref journal articles via Jisc Publications RouterHistory: epub 2023-10-20, issued 2023-10-20Article version: AMPublication status: PublishedOBJECTIVES This study looked at how CMSO affected male Wistar albino rats' liver damage caused by bisphenol A. METHODS The standard HPLC method was used to assess the CMSO's phenolic content. Then, six (n = 8) groups of forty-eight (48) male Wistar rats (150 20 g) each received either CMSO or olive oil before being exposed to BPA for 42 days. Groups: A (one milliliter of olive oil, regardless of weight), B (BPA 100 mg/kg body weight (BW)), C (CMSO 7.5 mg/kg BW), D (CMSO 7.5 mg/kg BW + BPA 100 mg/kg BW), E (CMSO 5.0 mg/kg BW + BPA 100 mg/kg BW), and F (CMSO 2.5 mg/kg BW + BPA 100 mg/kg BW). KEY FINDINGS A surprising abundance of flavonoids, totaling 17.8006 10.95 g/100 g, were found in the HPLC data. Malondialdehyde, liver enzymes, reactive oxygen species, total bilirubin, and direct bilirubin levels were all significantly elevated by BPA (p 0.05). Additionally, nuclear factor-B, interleukin-6, interleukin-1, tumor necrosis factor, and histological alterations were all considerably (p 0.05) caused by BPA. The altered biochemical markers and histology were, however, noticeably recovered by CMSO to a level that was comparable to the control. CONCLUSION Due to the abundance of flavonoid components in the oil, CMSO protects the liver from BPA-induced hepatotoxicity by lowering oxidative stress and inflammatory reactions

Cucumeropsis mannii seed oil protects against bisphenol A-induced hepatotoxicity by mitigating inflammation and oxidative stress in rats

From Oxford University Press via Jisc Publications RouterHistory: received 2023-07-05, accepted 2023-10-11, epub 2023-10-20, cover 2024-01, collection 2024-01-01, corrected-typeset 2024-03-05Acknowledgements: We appreciate the management of the Department of Biochemistry Institutional Research Ethics Committee, Ebonyi State University, Abakaliki, Nigeria.Publication status: PublishedObjectives: This study looked at how Cucumeropsis mannii seed oil (CMSO) affected male Wistar albino rats’ liver damage caused by bisphenol A (BPA). Methods: The standard HPLC method was used to assess the CMSO’s phenolic content. Then, six (n = 8) groups of 48 male Wistar rats (150 20 g) each received either CMSO or olive oil before being exposed to BPA for 42 days. Groups: A (1 ml of olive oil, regardless of weight), B (BPA 100 mg/kg body weight (BW)), C (CMSO 7.5 mg/kg BW), D (CMSO 7.5 mg/kg BW + BPA 100 mg/kg BW), E (CMSO 5.0 mg/kg BW + BPA 100 mg/kg BW), and F (CMSO 2.5 mg/kg BW + BPA 100 mg/kg BW). Key findings: A surprising abundance of flavonoids, totalling 17.8006 10.95 g/100 g, were found in the HPLC data. Malondialdehyde, liver enzymes, reactive oxygen species, total bilirubin, and direct bilirubin levels were all significantly elevated by BPA (P = 0.05). Additionally, nuclear factor-B, interleukin-6, interleukin-1, tumour necrosis factor, and histological alterations were all considerably (P = 0.05) caused by BPA. The altered biochemical markers and histology were, however, noticeably recovered by CMSO to a level that was comparable to the control. Conclusions: Due to the abundance of flavonoid components in the oil, CMSO protects the liver from BPA-induced hepatotoxicity by lowering oxidative stress and inflammatory reactions