RAS Medical Science最新文献

{"title":"COVID-19 in Kerala: The Dynamics of Spread and Health Index Theory","authors":"Z. Shervani","doi":"10.51520/2766-5240-10","DOIUrl":"https://doi.org/10.51520/2766-5240-10","url":null,"abstract":"Background: The number of novel coronavirus cases is different in various states of India. In the second wave, the state of Kerala has the highest number of cases in India. The “Health Index Theory” established first in this article has explained such a high susceptibility of Kerala’s population to the virus.\u0000\u0000Methods: The data of sero-survey and health index score have been used to explain the high surge in the cases. The dynamics of the COVID-19 virus spread in Kerala has been applied to study the high virus surge in Kerala.\u0000\u0000Results: On February 21, 2021; the caseload share of Kerala was 48% of India’s total cases. The two sero - survey results conducted in August 2020 and December 2020 - January 2021 show that the antibodies prevalence in Kerala’s population was 0.8 and 11.6%, respectively; while India’s national sero-prevalence was 6.6 and 21.0%, respectively.\u0000\u0000Conclusions: The higher infection rate in Kerala compared to the other states of India has been interpreted by the first established “Health Index Theory”. The population of Kerala is more susceptible and less immune to the virus compared to other states as the score of Kerala on the health index is the highest. However, better healthcare in Kerala kept the case fatality rate (CFR) lowest in India.","PeriodicalId":300761,"journal":{"name":"RAS Medical Science","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126444812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Obesity Myths & Facts","authors":"Ecler E Jaqua","doi":"10.51520/2766-5240-18","DOIUrl":"https://doi.org/10.51520/2766-5240-18","url":null,"abstract":"Obesity is a chronic, relapsing, multifactorial and neurobehavioral disease. An increase in body fat endorses abnormal fat mass physical forces and dysfunction, resulting in unfavorable metabolic, biomechanical, and psychosocial health consequences.1,2 Examples of adverse metabolic consequences: Hypertension, diabetes mellitus type 2, hyperlipidemia.1 Examples of adverse biomechanical consequences: Obstructive sleep apnea, osteoarthritis, back pain, cancer, deep vein thrombosis, carpal tunnel syndrome.1 Examples of adverse psychosocial health consequences: Depression, anxiety, panic attack, bullying.1","PeriodicalId":300761,"journal":{"name":"RAS Medical Science","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132491238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ABO A frequency in caucasians in US and liberal politics","authors":"Donna K. Hobgood","doi":"10.51520/2766-5240-19","DOIUrl":"https://doi.org/10.51520/2766-5240-19","url":null,"abstract":"Background\u0000Genes and environment shape personality and behavior. Environment effects seem harder to pin down, but genetic effects may be studied with some precision and used to understand behavior better. So in looking at political behaviors and attitudes, genes can be helpful. The current political change in the US is toward more liberal policies heightened by the most recent national elections. Observation of the well-studied gene ABO in populations and their political voting behavior suggests that ABO A may be higher in caucasians that vote liberal politics than in caucasians that vote conservative. ABO A is high in frequency in populations of western Europe and especially eastern Europe, and socialism is more prevalent in those countries thus raising the suggestion that ABO A could be relevent in understanding liberalism in the US.\u0000Methods\u0000Since the US president and thus administration of the government is elected by state electoral votes, surveying the frequency of ABO A in each state population was done through review of the medical literature.\u0000Results\u0000Caucasians have a significantly higher frequency of ABO A than other ethnicities. Minorities historically vote significantly higher for liberal policies, but the Caucasian majority vote, theoretically more status quo and thus conservative would be necessary to have some voters choose liberal if liberals have a chance at winning an election. Since caucasians are in the majority in US population and since ethnicity of ABO frequencies in each state is not readily available information, an adjustment for ethnicity was applied by dividing each state’s frequency of ABO A blood type by the frequency of caucasians in that state’s population thus ABO A among caucasians in the red states (conservative) vs the blue states (liberal).\u0000Conclusion\u0000Higher ABO A frequency in caucasians in states that vote liberal was thus inferred","PeriodicalId":300761,"journal":{"name":"RAS Medical Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129254354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Interest of hTERT Expression as a Prognostic Marker in Precancerous and Cancerous Lesions of the Cervix in the Departments of Niari and Bouenza, Congo","authors":"Luc Magloire Anicet Boumba, Parfait Christy Nganga, Dorine Florence Ngombe Mouabata, Christ Nsouza, Franck Gaëtan Loubanou Tchibinda, Ebenguela Ebatetou Ataboho, G. Loubano-voumbi, D. Moukassa","doi":"10.51520/2766-5240-25","DOIUrl":"https://doi.org/10.51520/2766-5240-25","url":null,"abstract":"Introduction: Over expression of human telomerase reverse transcriptase (hTERT) plays an important role in the progression of cancer, which is predicted to have a poor prognosis. This work show the interest of the expression of the hTERT subunit of telomerase as a prognostic marker in the evolution of precancerous and cancerous lesions of the cervix in women in the departments of Niari and Bouenza.\u0000\u0000Method: A total of 98 dry tube blood samples collected between October 2020 and November 2021were tested to investigate hTERT expression. The assay was performed by third-generation Elisa enzyme immunoassay using the Human telomerase reverse transcriptase (hTERT) ELISA Kit; Sunlong Biotech Co., Ltd”. A study of the cytological profile by cervico-vaginal smear and pool genotyping by Xpert-HPV® had also been undertaken.\u0000\u0000Results:The average age of women was 43.26±11.52 years with extremities ranging from 24 to 73 years. The cytological profile of women subjected to hTERT expression was as follows: 87.65% of normal cytology, 10.11% of pre[1]cancerous lesions and 2.24% of patients with invasive cervical cancer. The prevalence of HPV-HR was 81.82% (9/11) of which 66.67 (6/11) was HPV16. The expression of hTERT in the general population was as follows: 44.94% of patients without expression, 48.31% of patients with expression and 6.75% with overexpression. Depending on cytology, overexpression of hTERT was observed in all patients with pre-cancerous and cervical cancer lesions. hTERT was overexpressed in 28.57% and expressed in 71.43% of ASCUS patients. 48.72%ofwomen with normal cytology also expressed hTERT. Among the 9 HPV positive patients, hTERT overexpression was observed in 44.45% of patients and expression in 33.33% of patients. HPV16 carriers also overexpressed and expressed hTERT in 33.33% and 22.22% respectively.\u0000\u0000Conclusion: The telomerase subunit hTERT has been shown to be a biomarker of poor prognosis whose expression is proportional to the stage of evolution of cervical lesions.","PeriodicalId":300761,"journal":{"name":"RAS Medical Science","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125637631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Common reasons patients are being referred from primary to secondary care, their journey and its impact on patient flow in the Emergency Department","authors":"Abbasi A A, Ameh Victor","doi":"10.51520/2766-5240-12","DOIUrl":"https://doi.org/10.51520/2766-5240-12","url":null,"abstract":"A longstanding issue common to all Emergency Departments (ED), worldwide, is that of crowding. In recent years, prior to the CoVid-19 pandemic this was a national problem with trolleys lined up in ED corridors and waiting rooms filled with acutely unwell patients who have only received basic triage and no other clinician assessment. Many solutions have been put forward such as the concept of “reverse queueing”, the use of urgent treatment centres [1-4] and the use of ambulatory areas, particularly for medical patients.\u0000\u0000A clearly recognized strategy in managing overcrowding in the emergency department is prehospital assessment and judicious use of secondary care by primary care colleagues. “Initial Assessment” and referral to the correct area of secondary care promotes good patient flow and directs the patient to an appropriate area of the hospital, avoiding the emergency department altogether. One of the busiest clinical specialty within most hospitals is General Medicine. This specialty generally receives twice (if not more) the referrals than any other specialties but often has the same level of staffing. We undertook an audit of a cohort of patient referred by their GPs to acute specialties over a 2-week period to see if there are lessons to be learnt in order ease pressure on the emergency department and acute medical take.","PeriodicalId":300761,"journal":{"name":"RAS Medical Science","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126778848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}