Cervical cytology screening in young rural girls between the age of 16-20 years

Abstract Background Since the marriages are performed at an early age in the villages of rural India, the young girls are exposed to the early sexual exposure and subsequent prolonged sexual activity. These factors are instrumental in the development of precancerous lesions of cervix in the young girls. Method Rural cervical cancer screening program is in progress in the villages of western Lucknow. Since May 2013 and till date, a total of 189 camps has been organized and cytology done in 2980 women. The 118 of 2980 were in the group of 16-20 year and cytological findings obtained in them have been analyzed in relation to different risk factors of cervix. Result The incidence of squamous intraepithelial lesions of cervix   (SIL) was found to be 15.2% (18 cases) in the 118 girls of the study group. The SIL was seen in the 50% of the 2 girls examined at 16 and 17 years but was low in the girls between 18 to 20 years. The SIL rate was maximum with nulliparous (19.3%), pain in lower abdomen (26.3%) and hypertrophied cervix (100%). Majority of the young girls were nulliparous (infertile) while pain in lower abdomen was the most common symptom and hypertrophied cervix the only clinical lesion encountered in these 118 women. Conclusions The young girls in the rural population are at high risk of developing SIL as they are married at adolescent age and are subjected to early sexual exposure and subsequent prolonged sexual activity. The villagers should be taught about the ill effect of early marriage in the development of cervical cancer and should be counseled to avoid child marriage.   Key words Adolescent girls, Cervical cancer in rural women, SIL, Nulliparous, Pain in lower abdomen

Cervical cytology screening in young rural girls between the age of 16-20 years

Abstract Background Since the marriages are performed at an early age in the villages of rural India, the young girls are exposed to the early sexual exposure and subsequent prolonged sexual activity. These factors are instrumental in the development of precancerous lesions of cervix in the young girls. Method Rural cervical cancer screening program is in progress in the villages of western Lucknow. Since May 2013 and till date, a total of 189 camps has been organized and cytology done in 2980 women. The 118 of 2980 were in the group of 16-20 year and cytological findings obtained in them have been analyzed in relation to different risk factors of cervix. Result The incidence of squamous intraepithelial lesions of cervix   (SIL) was found to be 15.2% (18 cases) in the 118 girls of the study group. The SIL was seen in the 50% of the 2 girls examined at 16 and 17 years but was low in the girls between 18 to 20 years. The SIL rate was maximum with nulliparous (19.3%), pain in lower abdomen (26.3%) and hypertrophied cervix (100%). Majority of the young girls were nulliparous (infertile) while pain in lower abdomen was the most common symptom and hypertrophied cervix the only clinical lesion encountered in these 118 women. Conclusions The young girls in the rural population are at high risk of developing SIL as they are married at adolescent age and are subjected to early sexual exposure and subsequent prolonged sexual activity. The villagers should be taught about the ill effect of early marriage in the development of cervical cancer and should be counseled to avoid child marriage.   Key words Adolescent girls, Cervical cancer in rural women, SIL, Nulliparous, Pain in lower abdomen

Relationship of ethnicity and CD4 Count with glucose metabolism among HIV patients on Highly-Active Antiretroviral Therapy (HAART)

Background HIV patients on HAART are prone to metabolic abnormalities, including insulin resistance, lipodystrophy and diabetes. This study purports to investigate the relationship of ethnicity and CD4+ T cell count attained after stable highly-active antiretroviral treatment (HAART) with glucose metabolism in hyperrtriglyceridemic HIV patients without a history of diabetes. Methods Demographic, anthropometric, clinical, endocrinologic, energy expenditure and metabolic measures were obtained in 199 multiethnic, healthy but hypertriglyceridemic HIV-infected patients [46% Hispanic, 17% African-American, 37% Non-Hispanic White (NHW)] on stable HAART without a history of diabetes. The relationship of glucose and insulin responses to ethnicity, CD4 strata (low (\u3c300/cc) or moderate-to-high (≥ 300/cc)), and their interaction was determined. Results African-Americans had significantly greater impairment of glucose tolerance (P \u3c 0.05) and HbA1c levels (P \u3c .001) than either Hispanics or NHWs. In multivariate models, after adjusting for confounders (age, sex, HIV/HAART duration, smoking, obesity, glucose, insulin and lipids), African-Americans and Hispanics had significantly higher HbA1c and 2-hour glucose levels than NHW’s. Demonstrating a significant interaction between ethnicity and CD4 count (P = 0.023), African Americans with CD4 \u3c300/cc and Hispanics with CD4 ≥300/cc had the most impaired glucose response following oral glucose challenge. Conclusions Among hypertriglyceridemic HIV patients on HAART, African-Americans and Hispanics are at increased risk of developing diabetes. Ethnicity also interacts with CD4+ T cell count attained on stable HAART to affect post-challenge glycemic response

Incidence, prevalence, and co-occurrence of autoimmune disorders over time and by age, sex, and socioeconomic status: a population-based cohort study of 22 million individuals in the UK

Background: A rise in the incidence of some autoimmune disorders has been described. However, contemporary estimates of the overall incidence of autoimmune diseases and trends over time are scarce and inconsistent. We aimed to investigate the incidence and prevalence of 19 of the most common autoimmune diseases in the UK, assess trends over time, and by sex, age, socioeconomic status, season, and region, and we examine rates of co-occurrence among autoimmune diseases. Methods: In this UK population-based study, we used linked primary and secondary electronic health records from the Clinical Practice Research Datalink (CPRD), a cohort that is representative of the UK population in terms of age and sex and ethnicity. Eligible participants were men and women (no age restriction) with acceptable records, approved for Hospital Episodes Statistics and Office of National Statistics linkage, and registered with their general practice for at least 12 months during the study period. We calculated age and sex standardised incidence and prevalence of 19 autoimmune disorders from 2000 to 2019 and used negative binomial regression models to investigate temporal trends and variation by age, sex, socioeconomic status, season of onset, and geographical region in England. To characterise co-occurrence of autoimmune diseases, we calculated incidence rate ratios (IRRs), comparing incidence rates of comorbid autoimmune disease among individuals with a first (index) autoimmune disease with incidence rates in the general population, using negative binomial regression models, adjusted for age and sex. Findings: Among the 22 009 375 individuals included in the study, 978 872 had a new diagnosis of at least one autoimmune disease between Jan 1, 2000, and June 30, 2019 (mean age 54·0 years [SD 21·4]). 625 879 (63·9%) of these diagnosed individuals were female and 352 993 (36·1%) were male. Over the study period, age and sex standardised incidence rates of any autoimmune diseases increased (IRR 2017–19 vs 2000–02 1·04 [95% CI 1·00–1·09]). The largest increases were seen in coeliac disease (2·19 [2·05–2·35]), Sjogren's syndrome (2·09 [1·84–2·37]), and Graves' disease (2·07 [1·92–2·22]); pernicious anaemia (0·79 [0·72–0·86]) and Hashimoto's thyroiditis (0·81 [0·75–0·86]) significantly decreased in incidence. Together, the 19 autoimmune disorders examined affected 10·2% of the population over the study period (1 912 200 [13·1%] women and 668 264 [7·4%] men). A socioeconomic gradient was evident across several diseases, including pernicious anaemia (most vs least deprived area IRR 1·72 [1·64–1·81]), rheumatoid arthritis (1·52 [1·45–1·59]), Graves' disease (1·36 [1·30–1·43]), and systemic lupus erythematosus (1·35 [1·25–1·46]). Seasonal variations were observed for childhood-onset type 1 diabetes (more commonly diagnosed in winter) and vitiligo (more commonly diagnosed in summer), and regional variations were observed for a range of conditions. Autoimmune disorders were commonly associated with each other, particularly Sjögren's syndrome, systemic lupus erythematosus, and systemic sclerosis. Individuals with childhood-onset type 1 diabetes also had significantly higher rates of Addison's disease (IRR 26·5 [95% CI 17·3–40·7]), coeliac disease (28·4 [25·2–32·0]), and thyroid disease (Hashimoto's thyroiditis 13·3 [11·8–14·9] and Graves' disease 6·7 [5·1–8·5]), and multiple sclerosis had a particularly low rate of co-occurrence with other autoimmune diseases. Interpretation: Autoimmune diseases affect approximately one in ten individuals, and their burden continues to increase over time at varying rates across individual diseases. The socioeconomic, seasonal, and regional disparities observed among several autoimmune disorders in our study suggest environmental factors in disease pathogenesis. The inter-relations between autoimmune diseases are commensurate with shared pathogenetic mechanisms or predisposing factors, particularly among connective tissue diseases and among endocrine diseases

Diabetes and multiple long-term conditions : a review of our current global health challenge

This article is featured in podcasts available at diabetesjournals.org/care/pages/diabetes_care_on_air.Use of effective treatments and management programs is leading to longer survival of people with diabetes. This, in combination with obesity, is thus contributing to a rise in people living with more than one condition, known as multiple long-term conditions (MLTC or multimorbidity). MLTC is defined as the presence of two or more long-term conditions, with possible combinations of physical, infectious, or mental health conditions, where no one condition is considered as the index. These include a range of conditions such as cardiovascular diseases, cancer, chronic kidney disease, arthritis, depression, dementia, and severe mental health illnesses. MLTC has major implications for the individual such as poor quality of life, worse health outcomes, fragmented care, polypharmacy, poor treatment adherence, mortality, and a significant impact on health care services. MLTC is a challenge, where interventions for prevention and management are lacking a robust evidence base. The key research directions for diabetes and MLTC from a global perspective include system delivery and care coordination, lifestyle interventions and therapeutic interventions.The Fogarty International Center of the National Institutes of Health, the Wellcome Trust, the National Institute for Health Research (NIHR), Applied Research Collaboration East Midlands, NIHR Global Centre for MLTC, and the NIHR Leicester Biomedical Research Centre (BRC).https://diabetesjournals.org/carehj2024ArchitectureSDG-03:Good heatlh and well-bein

Relationship between islet autoantibody status and the clinical characteristics of children and adults with incident type 1 diabetes in a UK cohort.

OBJECTIVES: To describe the characteristics of children and adults with incident type 1 diabetes in contemporary, multiethnic UK, focusing on differences between the islet autoantibody negative and positive. DESIGN: Observational cohort study. SETTING: 146 mainly secondary care centres across England and Wales. PARTICIPANTS: 3312 people aged ≥5 years were recruited within 6 months of a clinical diagnosis of type 1 diabetes via the National Institute for Health Research Clinical Research Network. 3021 were of white European ethnicity and 291 (9%) were non-white. There was a small male predominance (57%). Young people <17 years comprised 59%. MAIN OUTCOME MEASURES: Autoantibody status and characteristics at presentation. RESULTS: The majority presented with classical osmotic symptoms, weight loss and fatigue. Ketoacidosis was common (42%), especially in adults, and irrespective of ethnicity. 35% were overweight or obese. Of the 1778 participants who donated a blood sample, 85% were positive for one or more autoantibodies against glutamate decarboxylase, islet antigen-2 and zinc transporter 8. Presenting symptoms were similar in the autoantibody-positive and autoantibody-negative participants, as was the frequency of ketoacidosis (43%vs40%, P=0.3). Autoantibody positivity was less common with increasing age (P=0.0001), in males compared with females (82%vs90%, P<0.0001) and in people of non-white compared with white ethnicity (73%vs86%, P<0.0001). Body mass index was higher in autoantibody-negative adults than autoantibody-positive adults (median, IQR 25.5, 23.1-29.2vs23.9, 21.4-26.7 kg/m2; P=0.0001). Autoantibody-negative participants were more likely to have a parent with diabetes (28%vs16%, P<0.0001) and less likely to have another autoimmune disease (4%vs8%, P=0.01). CONCLUSIONS: Most people assigned a diagnosis of type 1 diabetes presented with classical clinical features and islet autoantibodies. Although indistinguishable at an individual level, autoantibody-negative participants as a group demonstrated features more typically associated with other diabetes subtypes. TRIAL REGISTRATION NUMBER: ISRCTN66496918; Pre-results

South Asian individuals with diabetes who are referred for MODY testing in the UK have a lower mutation pick-up rate than white European people.

This article is freely available via Open Access. Click on the 'Additional Link' above to access the full-text via the publisher's site.Published (Open Access

Experience of point-of-care HbA1c testing in the English National Health Service Diabetes Prevention Programme: an observational study

Introduction: To report the observations of point-of-care (POC) glycated hemoglobin (HbA1c) testing in people with non-diabetic hyperglycemia (NDH; HbA1c 42–47 mmol/mol (6.0%–6.4%)), applied in community settings, within the English National Health Service Diabetes Prevention Programme (NHS DPP). Research design and methods: A service evaluation assessing prospectively collected national service-level data from the NHS DPP, using data from the first referral received in June 2016–October 2018. Individuals were referred to the NHS DPP with a laboratory-measured HbA1c in the NDH range and had a repeat HbA1c measured at first attendance of the program using one of three POC devices: DCA Vantage, Afinion or A1C Now+. Differences between the referral and POC HbA1c and the SD of the POC HbA1c were calculated. The factors associated with the difference in HbA1c and the association between POC HbA1c result and subsequent attendance of the NHS DPP were also evaluated. Results: Data from 73 703 participants demonstrated a significant mean difference between the referral and POC HbA1c of −2.48 mmol/mol (−0.23%) (t=157, p<0.001) with significant differences in the mean difference between devices (F(2, 73 700)=738, p<0.001). The SD of POC HbA1c was 4.46 mmol/mol (0.41%) with significant differences in SDs between devices (F(2, 73 700)=1542, p<0.001). Participants who were older, from more deprived areas and from Asian, black and mixed ethnic groups were associated with smaller HbA1c differences. Normoglycemic POC HbA1c versus NDH POC HbA1c values were associated with lower subsequent attendance at behavioral interventions (58% vs 67%, p<0.001). Conclusion: POC HbA1c testing in community settings was associated with significantly lower HbA1c values when compared with laboratory-measured referrals. Acknowledging effects of regression to the mean, we found that these differences were also associated with POC method, location, individual patient factors and time between measurements. Compared with POC HbA1c values in the NDH range, normoglycemic POC HbA1c values were associated with lower subsequent intervention attendance

PaLM: Scaling Language Modeling with Pathways

Large language models have been shown to achieve remarkable performance across a variety of natural language tasks using few-shot learning, which drastically reduces the number of task-specific training examples needed to adapt the model to a particular application. To further our understanding of the impact of scale on few-shot learning, we trained a 540-billion parameter, densely activated, Transformer language model, which we call Pathways Language Model PaLM. We trained PaLM on 6144 TPU v4 chips using Pathways, a new ML system which enables highly efficient training across multiple TPU Pods. We demonstrate continued benefits of scaling by achieving state-of-the-art few-shot learning results on hundreds of language understanding and generation benchmarks. On a number of these tasks, PaLM 540B achieves breakthrough performance, outperforming the finetuned state-of-the-art on a suite of multi-step reasoning tasks, and outperforming average human performance on the recently released BIG-bench benchmark. A significant number of BIG-bench tasks showed discontinuous improvements from model scale, meaning that performance steeply increased as we scaled to our largest model. PaLM also has strong capabilities in multilingual tasks and source code generation, which we demonstrate on a wide array of benchmarks. We additionally provide a comprehensive analysis on bias and toxicity, and study the extent of training data memorization with respect to model scale. Finally, we discuss the ethical considerations related to large language models and discuss potential mitigation strategies