Utilization of clinical practice guidelines for cancer care in routine practice and during the coronavirus disease 2019 pandemic in India.

AIM: The coronavirus disease 2019 (COVID-19) pandemic affected cancer service delivery and the feasibility of following the standard treatment guidelines. The present paper describes the use of clinical care guidelines for cancer management in routine practice and the approach adopted towards cancer care during the COVID-19 pandemic in India. METHODS: A web-based survey was done in 107 hospitals (including public and private health facilities) that hosted Hospital-Based Cancer Registries under the National Cancer Registry Programme. The participants comprised Principal Investigators of these registries, who were also medical, surgical, and radiation oncology clinicians. The survey was done between May 1, 2021, and July 31, 2021. Participants were provided with a web link for the survey questionnaire, confidential login, and password. RESULTS: The study found high utilization of Clinical Practice Guidelines (CPGs) during practice, with eight out of ten physicians constantly to referring them. The study reported lack of knowledge, skills, and training to administer the treatment based on the guidelines followed by organizational infrastructure and affordability of treatment by the patients as the factors hampering utilization. International clinical guidelines were preferred when compared to national guidelines. The COVID-19 pandemic decreased the use of CPGs, wherein six out of ten clinicians reported their use. CONCLUSION: Stakeholders who formulate clinical guidelines must consider the practical aspects and feasibility of implementing such guidelines during a pandemic and similar situations. This should be coupled with adequate changes in care practice to ensure optimal care delivery and a continuum of cancer care in routine and pandemic-imposed situations.

Assessing the Global Impact of Ambient Air Pollution on Cancer Incidence and Mortality: A Comprehensive Meta-Analysis.

PURPOSE: This study aims to examine the association between exposure to major ambient air pollutants and the incidence and mortality of lung cancer and some nonlung cancers. METHODS: This meta-analysis used PubMed and EMBASE databases to access published studies that met the eligibility criteria. Primary analysis investigated the association between exposure to air pollutants and cancer incidence and mortality. Study quality was assessed using the Newcastle Ottawa Scale. Meta-analysis was conducted using R software. RESULTS: The meta-analysis included 61 studies, of which 53 were cohort studies and eight were case-control studies. Particulate matter 2.5 mm or less in diameter (PM2.5) was the exposure pollutant in half (55.5%), and lung cancer was the most frequently studied cancer in 59% of the studies. A pooled analysis of exposure reported in cohort and case-control studies and cancer incidence demonstrated a significant relationship (relative risk [RR], 1.04 [95% CI, 1.02 to 1.05]; I2, 88.93%; P < .05). A significant association was observed between exposure to pollutants such as PM2.5 (RR, 1.08 [95% CI, 1.04 to 1.12]; I2, 68.52%) and nitrogen dioxide (NO2) (RR, 1.03 [95% CI, 1.01 to 1.05]; I2, 73.52%) and lung cancer incidence. The relationship between exposure to the air pollutants and cancer mortality demonstrated a significant relationship (RR, 1.08 [95% CI, 1.07 to 1.10]; I2, 94.77%; P < .001). Among the four pollutants, PM2.5 (RR, 1.15 [95% CI, 1.08 to 1.22]; I2, 95.33%) and NO2 (RR, 1.05 [95% CI, 1.02 to 1.08]; I2, 89.98%) were associated with lung cancer mortality. CONCLUSION: The study confirms the association between air pollution exposure and lung cancer incidence and mortality. The meta-analysis results could contribute to community cancer prevention and diagnosis and help inform stakeholders and policymakers in decision making.

Burden of female breast cancer in India: estimates of YLDs, YLLs, and DALYs at national and subnational levels based on the national cancer registry programme.

PURPOSE: Female breast cancer (BC) is the leading cause of cancer incidence and mortality in India, and accounted for 13.5% of new cancer cases and 10% of cancer-related deaths in 2020. This study aims to estimate and report the female BC burden in India at state level from 2012 to 2016 in terms of years of life lost, years lived with disability, and disability-adjusted life years (DALYs), and to project the burden for the year 2025. METHODS: The cancer incidence and mortality data from 28 population-based cancer registries were analysed. The mean mortality to incidence ratio was estimated, and mortality figures were adjusted for underreporting. The burden of female BC was estimated at national and subnational levels using Census data, World Health Organisation's lifetables, disability weights, and the DisMod-II tool. A negative binomial regression is employed to project burden for 2025. RESULTS: The burden of BC among Indian women in 2016 was estimated to be 515.4 DALYs per 100,000 women after age standardization. The burden metrics at state level exhibited substantial heterogeneity. Notably, Tamil Nadu, Telangana, Karnataka, and Delhi had a higher burden of BC than states in the eastern and north-eastern regions. The projection for 2025 indicates to a substantial increase, reaching 5.6 million DALYs. CONCLUSION: The female BC burden in India was significantly high in 2016 and is expected to substantially increase. Undertaking a multidisciplinary, context-specific approach for its prevention and control can address this rising burden.

Topic modeling and social network analysis approach to explore diabetes discourse on Twitter in India.

Introduction: The utilization of social media presents a promising avenue for the prevention and management of diabetes. To effectively cater to the diabetes-related knowledge, support, and intervention needs of the community, it is imperative to attain a deeper understanding of the extent and content of discussions pertaining to this health issue. This study aims to assess and compare various topic modeling techniques to determine the most effective model for identifying the core themes in diabetes-related tweets, the sources responsible for disseminating this information, the reach of these themes, and the influential individuals within the Twitter community in India. Methods: Twitter messages from India, dated between 7 November 2022 and 28 February 2023, were collected using the Twitter API. The unsupervised machine learning topic models, namely, Latent Dirichlet Allocation (LDA), non-negative matrix factorization (NMF), BERTopic, and Top2Vec, were compared, and the best-performing model was used to identify common diabetes-related topics. Influential users were identified through social network analysis. Results: The NMF model outperformed the LDA model, whereas BERTopic performed better than Top2Vec. Diabetes-related conversations revolved around eight topics, namely, promotion, management, drug and personal story, consequences, risk factors and research, raising awareness and providing support, diet, and opinion and lifestyle changes. The influential nodes identified were mainly health professionals and healthcare organizations. Discussion: The study identified important topics of discussion along with health professionals and healthcare organizations involved in sharing diabetes-related information with the public. Collaborations among influential healthcare organizations, health professionals, and the government can foster awareness and prevent noncommunicable diseases.

Profile of Childhood Cancers From Hospital-Based Cancer Registries in India, 2012-19.

OBJECTIVE: To describe the clinical pattern of childhood and adolescent cancers across India using hospital-based data in the National Cancer Registry Program. METHODS: Records of 60720 cancer cases in the 0-19 year age group for the period 2012-2019 from 96 hospital-based cancer registries were reviewed. Childhood cancers were classified based on the International Classification of Childhood Cancer (ICCC). Descriptive analysis was used to examine the distribution of cancer by five-year age groups, sex and ICCC diagnostic groups and subgroups. Data were analysed using IBM SPSS software and visualised using R software. RESULTS: 3.2% and 4.6% of all cancer cases in India were among children in the 0-14 year and 0-19 year age groups respectively. The male-to-female ratio for all cancers was 1.72 for 0-14 years and 1.73 for 0-19 years. The four leading groups of cancers among 0-14 year olds were leukemia (40%), lymphoma (12%), central nervous system tumor (11%) and bone cancer (8%). The four leading cancers among the 0-19 year age group were leukemia (36%), lymphoma (12%), bone (11%) and central nervous system tumor (10%). CONCLUSION: Cancers in the 0-14 and 0-19 age groups accounted for a considerable proportion of all cancers with significant male preponderance. Such information helps to fine-tune research and planning strategies.

Epidemiology of human papillomavirus related cancers in India: findings from the National Cancer Registry Programme.

Human papillomavirus (HPV) causes more than one-fourth of infection related cancers globally. The present study summarises the epidemiology of HPV related cancers in India, with a special focus on cervical and oropharyngeal cancer, utilising the National Cancer Registry Programme (NCRP) data. The data on HPV related cancer incidence and treatment were extracted from 28 population-based and 96 hospital-based cancer registries under the NCRP network. Incidence was presented as rates, clinical extent of disease and treatment provided as percentages. Joinpoint regression analysis was performed to calculate annual percent change in age adjusted incidence rates (AARs) over time. Incidence of HPV related cancers for 2025 was projected. Among all cancers, 7.5% were HPV related cancers. Cervical cancer (87.6%) and oropharyngeal cancer (63.2%) were the most common HPV related cancers in India among females and males, respectively. Cervical cancer was highest in Papumpare district (AAR: 27.7 per 100,000) and oropharyngeal cancer among males in East Khasi Hills district Population Based Cancer Registry (AAR: 11.4 per 100,000). In most PBCRS, cervical cancer incidence rate decreased significantly over the period of time. The majority of these cancers presented at locoregional spread stage of the disease and were treated with chemoradiation. The projected incidence of HPV related cancers is expected to increase to 121,302 by 2025. Implementation of effective prevention and control strategies like HPV vaccination and scaling up of screening could reduce the burden of HPV related cancers. Evidence from NCRP serves as the baseline to monitor the impact of HPV related policies and programmes in improving the outcome and prognosis.

Regional estimates of noncommunicable diseases associated risk factors among adults in India: results from National Noncommunicable Disease Monitoring Survey.

BACKGROUND: This study describes regional differences and determinants on key noncommunicable disease (NCD) risk factors in adults from the National NCD Monitoring Survey (NNMS) across six geographic regions of India. METHODS: The NNMS was a cross-sectional multistage cluster survey conducted in 2017-18, on a representative sample of 300 urban and 300 rural primary sampling units (PSU) covering 20 households per PSU. One adult aged 18-69 years per household was selected using the KISH grid. Globally standard survey tools were adapted for data collection. To arrive at regional estimates, the country was divided into six regions (south, north, central, west, east and northeast) based on the distribution of a national sample. The results are presented as proportion with 95% confidence intervals (CI). Univariable and multivariable logistic regression analyses were performed to identify NCD risk factor determinants significant in the regions. A p-value < 0.05 was considered for statistical significance. RESULTS: The overall survey response rate was 96.3%. The prevalence of current tobacco (45.7%) and alcohol use (22.3%) was significantly high in the northeast region. The highest proportion of adults from northern India showed low levels of physical activity (49.6%). The prevalence of metabolic risk factors - obesity (12.5%), raised fasting blood glucose (21.2%) and raised blood pressure (35.6%) was highest in south India. The prevalence of raised blood pressure was high in north India (35.2%) similar in proportion to south India. Clustering of ≥3 risk factors (50.1%) and ten-year CVD risk of ≥30% or with existing CVD (18.1%) was highest in south India when compared to other regions. Older age, urban residents, alcohol consumption and overweight/obesity were significantly associated with higher odds of raised blood pressure and raised fasting blood glucose. CONCLUSION: The NNMS presents variations in NCD risk factors within the regions of India. It contributes to robust evidence for strengthening interventions and monitoring the progress in reducing NCDs and their associated risk factors.

Burden of cancers in India - estimates of cancer crude incidence, YLLs, YLDs and DALYs for 2021 and 2025 based on National Cancer Registry Program.

BACKGROUND: Cancer is the major cause of morbidity and mortality worldwide. The cancer burden varies within the regions of India posing great challenges in its prevention and control. The national burden assessment remains as a task which relies on statistical models in many developing countries, including India, due to cancer not being a notifiable disease. This study quantifies the cancer burden in India for 2016, adjusted mortality to incidence (AMI) ratio and projections for 2021 and 2025 from the National Cancer Registry Program (NCRP) and other publicly available data sources. METHODS: Primary data on cancer incidence and mortality between 2012 and 2016 from 28 Population Based Cancer Registries (PBCRs), all-cause mortality from Sample Registration Systems (SRS) 2012-16, lifetables and disability weight from World Health Organization (WHO), the population from Census of India and cancer prevalence using the WHO-DisMod-II tool were used for this study. The AMI ratio was estimated using the Markov Chain Monte Carlo method from longitudinal NCRP-PBCR data (2001-16). The burden was quantified at national and sub-national levels as crude incidence, mortality, Years of Life Lost (YLLs), Years Lived with Disability (YLDs) and Disability Adjusted Life Years (DALYs). The projections for the years 2021 and 2025 were done by the negative binomial regression model using STATA. RESULTS: The projected cancer burden in India for 2021 was 26.7 million DALYsAMI and expected to increase to 29.8 million in 2025. The highest burden was in the north (2408 DALYsAMI per 100,000) and northeastern (2177 DALYsAMI per 100,000) regions of the country and higher among males. More than 40% of the total cancer burden was contributed by the seven leading cancer sites - lung (10.6%), breast (10.5%), oesophagus (5.8%), mouth (5.7%), stomach (5.2%), liver (4.6%), and cervix uteri (4.3%). CONCLUSIONS: This study demonstrates the use of reliable data sources and DisMod-II tools that adhere to the international standard for assessment of national and sub-national cancer burden. A wide heterogeneity in leading cancer sites was observed within India by age and sex. The results also highlight the need to focus on non-leading sites of cancer by age and sex. These findings can guide policymakers to plan focused approaches towards monitoring efforts on cancer prevention and control. The study simplifies the methodology used for arriving at the burden estimates and thus, encourages researchers across the world to take up similar assessments with the available data.

Prevalence and Correlates of Insufficient Physical Activity Among Adults Aged 18-69 Years in India: Findings From the National Noncommunicable Disease Monitoring Survey.

BACKGROUND: Sufficient physical activity (PA) significantly contributes to the prevention and control of noncommunicable diseases. This study aims to determine the prevalence of insufficient PA and associated sociodemographic and lifestyle factors among adults aged 18-69 years in India. METHODS: A national population-based, cross-sectional survey was conducted during 2017-2018 among 12,000 adults that adapted globally standard data collection tools. The data were weighted and analyzed using complex samples analysis. Logistic regression analysis was performed to identify the sociodemographic and lifestyle factors associated with insufficient PA. RESULTS: Age standardized prevalence of insufficient PA among adults in India was 41.4%. A higher proportion of women (52.4%) and urban adults (51.7%) were not doing sufficient PA. Men (118.8 min) spent more time in PA per day than women (55.3 min). Higher odds of insufficient PA were significantly associated with unemployment (adjusted odds ratio [aOR] = 6.45), highest wealth quintile (aOR = 1.86), presence of central obesity (aOR = 1.24), and raised blood pressure (aOR = 1.22). CONCLUSION: This study provides the baseline prevalence of insufficient PA to monitor the set PA targets for India by 2025. The identified associated factors can guide policy makers to plan tailored interventions targeting high-risk groups and a multisectoral approach to promote PA.

Use of social media data for disease based social network analysis and network modeling: A Systematic Review.

Burden due to infectious and noncommunicable disease is increasing at an alarming rate. Social media usage is growing rapidly and has become the new norm of communication. It is imperative to examine what is being discussed in the social media about diseases or conditions and the characteristics of the network of people involved in discussion. The objective is to assess the tools and techniques used to study social media disease networks using network analysis and network modeling. PubMed and IEEEXplore were searched from 2009 to 2020 and included 30 studies after screening and analysis. Twitter, QuitNet, and disease-specific online forums were widely used to study communications on various health conditions. Most of the studies have performed content analysis and network analysis, whereas network modeling has been done in six studies. Posts on cancer, COVID-19, and smoking have been widely studied. Tools and techniques used for network analysis are listed. Health-related social media data can be leveraged for network analysis. Network modeling technique would help to identify the structural factors associated with the affiliation of the disease networks, which is scarcely utilized. This will help public health professionals to tailor targeted interventions.

Assessment of Peripheral Blood Mononuclear Cells Senescence and Endothelial Dysfunction among Adults with High Cardiovascular Risk. / Avaliação da Senescência de Células Sanguíneas Mononucleares Periféricas e na Disfunção Endotelial entre Adultos com Alto Risco Cardiovascular.

BACKGROUND: Cardiovascular diseases (CVD) are one of the leading causes of mortality and morbidity worldwide. Biological aging has been associated with the occurrence of adverse cardiovascular outcomes; however, the underlying mechanism of this process remains unknown. OBJECTIVES: This study sought to evaluate if peripheral blood mononuclear cell (PBMC) senescence and endothelial biomarkers could influence cardiovascular (CV) risk and be suitable markers for the early detection of cardiovascular diseases in adults. METHODS: In this cross-sectional study patients free of CVD were classified as lower (n=32) and higher Interheart Risk (IHR) scores (n=28). PBMC senescence was assessed by estimating the telomerase activity (TA) and detecting the presence of senescent cells and endothelial dysfunction by estimating the concentration of nitrite and nitrate and of total antioxidant capacity (TAC). Statistical analysis was performed with SPSS version 16.0 (SPSS Inc., Chicago, IL). All p-values <0.05 were considered statistically significant. RESULTS: PBMC senescence 0.95 [p-value = 0.0001; 95% CI (0.874-1.026)] was a significant predictor of patients with higher IHR scores with a cut-off value of 21.65 with a sensitivity and specificity of 92% and 88% respectively. PBMC senescence, nitrite and nitrate and TA were found to be independently associated with high IHR scores. CONCLUSION: PBMC senescence, TA and nitrite, and nitrate status are suitable measures to predict high cardiovascular risk in adults with CV risk. Nevertheless, long-term follow-up studies are needed to confirm these findings. (Arq Bras Cardiol. 2021; 116(1):37-47).

FUNDAMENTO: Doenças cardiovasculares (DCV) são uma das principais causas de mortalidade e morbidade em todo o mundo. O envelhecimento biológico tem sido associado à ocorrência de resultados cardiovasculares. Entretanto, o mecanismo subjacente desse processo ainda é desconhecido. OBJETIVOS: Buscamos avaliar se a senescência das células sanguíneas mononucleares periféricas (CSMP) e biomarcadores endoteliais poderiam influenciar o risco cardiovascular (CV) e ser marcadores adequados para a detecção precoce de doenças cardiovasculares em adultos. MÉTODOS: Neste estudo transversal, pacientes livres de DCV foram classificados como baixo (n=32) e alto (n=28) escore de risco intracardaco (IHR) A senescência das CSMP foi avaliada estimando-se a atividade de telomerase (AT) e detectando-se a presença de células senescentes e disfunção endotelial, estimando-se a concentração de nitrito e nitrato e a capacidade antioxidante total (CAT). A análise estatística foi realizada com o software SPSS, versão 16.0 (SPSS Inc., Chicago, IL). Todos os p-valores <0,05 foram considerados estatisticamente significativos. RESULTADOS: A senescência de CSMP de 0,95 [p-valor = 0,0001; 95% IC (0,874-1,026)] foi um indicador significativo de pacientes com escore de IHR mais alto, com um valor de corte de 21,65, com sensibilidade e especificidade de 92% e 88% respectivamente. Identificou-se que a senescência de CSMP, nitrito e nitrato, e AT eram independentemente associadas a um escore de IHR alto. CONCLUSÃO: Os status de nitrito e nitrato e AT, e a senescência de CSMP são medidas adequadas para prever o alto risco cardiovascular em adultos com risco CV. Entretanto devem ser realizados estudos de acompanhamento de longo prazo para confirmar esses achados. (Arq Bras Cardiol. 2021; 116(1):37-47).

Avaliação da Senescência de Células Sanguíneas Mononucleares Periféricas e na Disfunção Endotelial entre Adultos com Alto Risco Cardiovascular / Assessment of Peripheral Blood Mononuclear Cells Senescence and Endothelial Dysfunction among Adults with High Cardiovascular Risk

Resumo Fundamento Doenças cardiovasculares (DCV) são uma das principais causas de mortalidade e morbidade em todo o mundo. O envelhecimento biológico tem sido associado à ocorrência de resultados cardiovasculares. Entretanto, o mecanismo subjacente desse processo ainda é desconhecido. Objetivos Buscamos avaliar se a senescência das células sanguíneas mononucleares periféricas (CSMP) e biomarcadores endoteliais poderiam influenciar o risco cardiovascular (CV) e ser marcadores adequados para a detecção precoce de doenças cardiovasculares em adultos. Métodos Neste estudo transversal, pacientes livres de DCV foram classificados como baixo (n=32) e alto (n=28) escore de risco intracardaco (IHR) A senescência das CSMP foi avaliada estimando-se a atividade de telomerase (AT) e detectando-se a presença de células senescentes e disfunção endotelial, estimando-se a concentração de nitrito e nitrato e a capacidade antioxidante total (CAT). A análise estatística foi realizada com o software SPSS, versão 16.0 (SPSS Inc., Chicago, IL). Todos os p-valores <0,05 foram considerados estatisticamente significativos. Resultados A senescência de CSMP de 0,95 [p-valor = 0,0001; 95% IC (0,874-1,026)] foi um indicador significativo de pacientes com escore de IHR mais alto, com um valor de corte de 21,65, com sensibilidade e especificidade de 92% e 88% respectivamente. Identificou-se que a senescência de CSMP, nitrito e nitrato, e AT eram independentemente associadas a um escore de IHR alto. Conclusão Os status de nitrito e nitrato e AT, e a senescência de CSMP são medidas adequadas para prever o alto risco cardiovascular em adultos com risco CV. Entretanto devem ser realizados estudos de acompanhamento de longo prazo para confirmar esses achados. (Arq Bras Cardiol. 2021; 116(1):37-47)

Abstract Background Cardiovascular diseases (CVD) are one of the leading causes of mortality and morbidity worldwide. Biological aging has been associated with the occurrence of adverse cardiovascular outcomes; however, the underlying mechanism of this process remains unknown. Objectives This study sought to evaluate if peripheral blood mononuclear cell (PBMC) senescence and endothelial biomarkers could influence cardiovascular (CV) risk and be suitable markers for the early detection of cardiovascular diseases in adults. Methods In this cross-sectional study patients free of CVD were classified as lower (n=32) and higher Interheart Risk (IHR) scores (n=28). PBMC senescence was assessed by estimating the telomerase activity (TA) and detecting the presence of senescent cells and endothelial dysfunction by estimating the concentration of nitrite and nitrate and of total antioxidant capacity (TAC). Statistical analysis was performed with SPSS version 16.0 (SPSS Inc., Chicago, IL). All p-values <0.05 were considered statistically significant. Results PBMC senescence 0.95 [p-value = 0.0001; 95% CI (0.874-1.026)] was a significant predictor of patients with higher IHR scores with a cut-off value of 21.65 with a sensitivity and specificity of 92% and 88% respectively. PBMC senescence, nitrite and nitrate and TA were found to be independently associated with high IHR scores. Conclusion PBMC senescence, TA and nitrite, and nitrate status are suitable measures to predict high cardiovascular risk in adults with CV risk. Nevertheless, long-term follow-up studies are needed to confirm these findings. (Arq Bras Cardiol. 2021; 116(1):37-47)

A Systematic Review of Techniques Employed for Determining Mental Health Using Social Media in Psychological Surveillance During Disasters.

During disasters, people share their thoughts and emotions on social media and also provide information about the event. Mining the social media messages and updates can be helpful in understanding the emotional state of people during such unforeseen events as they are real-time data. The objective of this review is to explore the feasibility of using social media data for mental health surveillance as well as the techniques used for determining mental health using social media data during disasters. PubMed, PsycINFO, and PsycARTICLES databases were searched from 2009 to November 2018 for primary research studies. After screening and analyzing the records, 18 studies were included in this review. Twitter was the widely researched social media platform for understanding the mental health of people during a disaster. Psychological surveillance was done by identifying the sentiments expressed by people or the emotions they displayed in their social media posts. Classification of sentiments and emotions were done using lexicon-based or machine learning methods. It is not possible to conclude that a particular technique is the best performing one, because the performance of any method depends upon factors such as the disaster size, the volume of data, disaster setting, and the disaster web environment.

Association of GWAS identified INSR variants (rs2059807 & rs1799817) with polycystic ovarian syndrome in Indian women.

Polycystic ovary syndrome (PCOS), a gynaecological endocrine disorder affects 9% of Indian women and is linked to type II diabetes. The association of INSR (INSulin Receptor gene) variants (rs2059807 and rs1799817) with PCOS was established through genome-wide association studies, yet requires validation for the Indian population. This case-control study included 253 PCOS women and 308 age-matched control. The minor allele frequency of rs2059807 had an odds ratio of 13.5 and that of rs1799817 was 11.8. The cohort with rs2059807 MAF presented elevated levels of luteinising hormone [PCOS vs Control: 6.32 ± 2.26 mIU/mL vs 4.97 ± 3.27 mIU/mL], estradiol [116.01 ± 60.63 pg/mL vs 65.04 ± 44.98 pg/mL], and decreased HDL - C [50.4 ± 11.59 mg/dL vs 64 ± 15.49 mg/dL] showing disturbances in the hormonal patterns. The rs1799817 polymorphism cohort had elevated levels of serum insulin [17.99 ± 11.6 mIU/mL vs 11.67 ± 6.63 mIU/mL], blood glucose [199.15 ± 63.72 mg/dL vs 96.6 ± 24.3 mg/dL], and testosterone [0.91 ± 0.2 nmol/L vs 0.53 ± 0.16 nmol/L] thereby triggering metabolic dysfunction and predisposed to lifestyle disorder. Also, the SNPs were found to be in linkage equilibrium and contributed to the development of PCOS differentially.

Prognostic role of soluble ST2 in acute coronary syndrome with diabetes.

BACKGROUND: Acute coronary syndrome (ACS) patients are at an increased risk of major adverse cardiovascular events (MACE). The objective of our study was to assess whether cardiac biomarker like soluble ST2 (sST2) can predict MACE among ACS patients with diabetes. MATERIALS AND METHODS: A total of 122 patients with ACS were included in the study. sST2 level in blood plasma samples was quantified using enzyme-linked immunosorbent assay (ELISA). Prognostic utility of sST2 for the primary outcome of MACE which included mortality, rehospitalization due to chest pain, unstable angina, recurrent myocardial infarction (MI) and stroke, was assessed during follow-up. RESULTS: The median follow-up period was of 180 days. ROC (receiver operating characteristic) curve demonstrated that elevated levels of sST2 were able to predict mortality, and MACE in ACS patients, along with increased risk of occurrence of MACE and mortality in ACS patients having diabetes. Kaplan-Meier plots revealed a significant increase in the occurrence of MACE in diabetic ACS patients (P = 0.006; by log-rank test). Cox regression analysis revealed that sST2 is not an independent predictor of mortality and MACE in ACS patients having diabetes; however, high sST2 level was found to be a predictor of MACE in all ACS subjects in the fully adjusted model with a hazard ratio (HR) of 5.8 (P = 0.032). CONCLUSION: The current study indicates that elevated levels of sST2 might be a suitable biomarker to evaluate the risk of future adverse cardiovascular events in ACS patients with diabetes.

Carotid Artery Intima-Media Thickness in Young Adults with Family History of Coronary Artery Disease.

BACKGROUND: It is well established that accelerated athero-sclerosis occurs in middle-aged and elderly adults with family history of coronary artery disease (CAD). However similar data on younger population with genetic predisposition is lacking. As identifying and treating this target group at an early stage will help in postponing the disease progression and delay the onset of clinical events later in life. AIM: We undertook the present study to investigate whether structural vascular changes related to atherosclerosis are detectable in healthy young adults with family history of CAD by non-invasive high resolution scan of the carotid artery intima media thickness (CIMT). MATERIALS AND METHODS: Fifty healthy young adults of both sexes, aged 18-25 years with family history of CAD were taken as cases and fifty age, sex, body mass index (BMI) and blood pressure matched subjects without family history of CAD served as control. All participants completed a standardized cardiovascular disease risk assessment questionnaire and resting blood pressure, pulse rate and BMI were recorded. None of the subjects were smoker or alcoholic. Both cases and controls were subjected to high resolution B-mode ultrasonographic evaluation of CIMT. Fasting blood samples were drawn for baseline investigations and lipid profile estimation. RESULTS: Compared to control subjects, cases had increased CIMT (mean of combined sites 0.57 ± 0.08 mm vs 0.46 ± 0.05 mm in controls, p<0.001). Offspring with family history of CAD exhibited an unfavourable lipid profile. We observed a direct association between carotid intima media thickness and triglyceride concentration (Correlation coefficient=0.32). Multiple logistic regression analysis showed family history of CAD to be independent risk factor for CIMT (Odds ratio=5.36, confidence interval 1.84 - 10.53, p=0.003). CONCLUSION: Arterial wall abnormalities are present at an early age in offspring with family history of CAD. Identifying such high risk individuals is feasible with an easy, non-invasive and reproducible technique like CIMT measurement and hence is recommended.