scholarly journals Population prevalence of congenital disabilities among children aged 0-2 years resident in urban slums of Pune, India

2021 ◽  
Author(s):  
Humaira Ansari
Keyword(s):  
Urban Slums ◽  
Population Prevalence ◽  
Congenital Disabilities

Prevalence of Inhibitors in a Population of 3435 Hemophilia Patients in France

1992 ◽  
Vol 67 (06) ◽  
pp. 600-602 ◽  
Author(s):  
Y Sultan ◽  
Keyword(s):  
Hemophilia A ◽  
Hemophilia B ◽  
Study Group ◽  
Cooperative Study ◽  
Population Prevalence ◽  
French Study ◽  
Number Of Patients ◽  
High Incidence ◽  
Recombinant Fviii ◽  
High Responders

SummaryA cooperative study between the 37 centers of the French Hemophilia Study Group was undertaken to establish the prevalence of inhibitor patients in the French hemophilia population. The prevalence reported in the literature varies widely from 3.6% to 17.5%. Some of the studies are dealing with a small number of patients and inhibitor patients are reported either to the total number of hemophiliacs or to the severely affected ones. The French study provided information concerning 3,435 hemophiliacs and showed a prevalence of 6.2% for the overall population. Prevalence of inhibitors was found to be 7% in the population of hemophilia A patients and 12.8% in the population of severely affected ones. The prevalence of inhibitors in the population of hemophilia B patients was 2% and 4% in the population of severely affected hemophilia B patients. The cooperative study also showed that 47.5% of inhibitors are detected before 10 years of age and that 82% of inhibitor patients are high responders. Analysis of inhibitor detection in patients under the age often showed that there was a peak in the population of 2 years old children. Although not comparable to the present study the high incidence of inhibitors with ultrapurified and recombinant FVIII reported in previously untransfused patient may be borne in mind.

Health and Nutritional status of children under 3 years of age in urban slums of Mumbai, India

2012 ◽  
Vol 3 (1) ◽  
pp. 279-281
Author(s):  
Dr. Agrawal Nisha ◽  
◽  
Dr. Acharya Shrikala ◽  
Dr. Shinde Ratnendra
Keyword(s):  
Nutritional Status ◽  
Urban Slums ◽  
Nutritional Status Of Children

Role of Nutrition Counseling and Lifestyle Modification in Managing Prediabetes

2021 ◽  
pp. 037957212110254
Author(s):  
Harleen Kaur ◽  
Neerja Singla ◽  
Rohini Jain
Keyword(s):  
Hemoglobin A1c ◽  
Lifestyle Modification ◽  
Fasting Blood Glucose ◽  
Nutrition Intervention ◽  
Control Group ◽  
Population Prevalence ◽  
Significant Difference ◽  
And Control ◽  
Experimental Group

Objective: India is the second country after China having the highest population prevalence of diabetes. Several research studies investigating diabetes have been done, but not much work has been done on prediabetes. The purpose of this study was to investigate the effect of nutrition and lifestyle modification on prediabetic females. Methods: A total of 120 prediabetic females from Ludhiana city were divided into 2 matched groups: control group (n = 60) and experimental group (n = 60). Impact of nutrition intervention for dietary and lifestyle modification (for 3 months) was assessed on the anthropometric, dietary, biochemical parameters, and diabetes risk score of the experimental group and control group (no intervention). Results: All the selected 120 subjects completed the study (experimental group = 60; control group = 60). There was significant difference in the changes between the 2 groups throughout the study. The fasting blood glucose and glycated hemoglobin A1c levels of the experimental group subjects reduced significantly ( P ≤ .01). However, no change was observed among the control group subjects. The lipid profile of the experimental group showed a significant improvement ( P ≤ .01). Conclusion: Nutrition counselling of the prediabetics regarding dietary and lifestyle modification is recommended so as to improve their metabolic control, thus preventing them from being diabetics.

scholarly journals 468. Specimen pooling conserves additional testing resources when patients’ infection status is correlated: A simulation study

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S300-S300
Author(s):  
Jeffrey Rewley
Keyword(s):  
Internal Medicine ◽  
Simulation Study ◽  
No Reduction ◽  
Optimal Size ◽  
Infection Status ◽  
Heat Map ◽  
Population Prevalence ◽  
Additional Testing ◽  
Batch Sizes ◽  
Pooled Sample

Abstract Background In the early stages of a novel pandemic, testing is simultaneously in high need but low supply, making efficient use of tests of paramount importance. One approach to improve the efficiency of tests is to mix samples from multiple individuals, only testing individuals when the pooled sample returns a positive. Methods I build on current models which assume patients’ sero-status is independent by allowing for correlation betweenconsecutive tests (e.g. if a family were all infected and were all tested together). In this model, I simulate 10,000 patients being tested in sequence, with population sero-prevalence ranging from 1% to 25%, using batch sizes from 3 to 10, and assuming the increased probability of consecutive infections ranged from 0% to 50%. Results I find that as the likelihood of consecutive infected patients increases, the efficiency of specimen pooling increases. As well, the optimal size of the batch increases in the presence of clustered sequences of infected patients. Heat map indicating the manner in which the number of tests needed is reduced as population prevalence and correlation between cases changes. Red indicates that there is no reduction in the number of tests, and blue indicates a near 100% reduction in the number of tests, with intermediate colors indicating intermediate fractions. Conclusion This analysis indicates further improvements in specimen pooling efficiency can begained by taking advantage of the pattern of patient testing. Disclosures Jeffrey Rewley, PhD, MS, American Board of Internal Medicine (Employee)

scholarly journals A Bayesian approach to estimating the population prevalence of mood and anxiety disorders using multiple measures

2021 ◽  
Vol 30 ◽  
Author(s):  
Jordan Edwards ◽  
A. Demetri Pananos ◽  
Amardeep Thind ◽  
Saverio Stranges ◽  
Maria Chiu ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Anxiety Disorders ◽  
Administrative Data ◽  
Population Based ◽  
Accurate Estimate ◽  
Service Planning ◽  
Prevalence Estimate ◽  
Population Prevalence ◽  
Mood And Anxiety Disorders ◽  
Prevalence Estimates

Abstract Aims There is currently no universally accepted measure for population-based surveillance of mood and anxiety disorders. As such, the use of multiple linked measures could provide a more accurate estimate of population prevalence. Our primary objective was to apply Bayesian methods to two commonly employed population measures of mood and anxiety disorders to make inferences regarding the population prevalence and measurement properties of a combined measure. Methods We used data from the 2012 Canadian Community Health Survey – Mental Health linked to health administrative databases in Ontario, Canada. Structured interview diagnoses were obtained from the survey, and health administrative diagnoses were identified using a standardised algorithm. These two prevalence estimates, in addition to data on the concordance between these measures and prior estimates of their psychometric properties, were used to inform our combined estimate. The marginal posterior densities of all parameters were estimated using Hamiltonian Monte Carlo (HMC), a Markov Chain Monte Carlo technique. Summaries of posterior distributions, including the means and 95% equally tailed posterior credible intervals, were used for interpretation of the results. Results The combined prevalence mean was 8.6%, with a credible interval of 6.8–10.6%. This combined estimate sits between Bayesian-derived prevalence estimates from administrative data-derived diagnoses (mean = 7.4%) and the survey-derived diagnoses (mean = 13.9%). The results of our sensitivity analysis suggest that varying the specificity of the survey-derived measure has an appreciable impact on the combined posterior prevalence estimate. Our combined posterior prevalence estimate remained stable when varying other prior information. We detected no problematic HMC behaviour, and our posterior predictive checks suggest that our model can reliably recreate our data. Conclusions Accurate population-based estimates of disease are the cornerstone of health service planning and resource allocation. As a greater number of linked population data sources become available, so too does the opportunity for researchers to fully capitalise on the data. The true population prevalence of mood and anxiety disorders may reside between estimates obtained from survey data and health administrative data. We have demonstrated how the use of Bayesian approaches may provide a more informed and accurate estimate of mood and anxiety disorders in the population. This work provides a blueprint for future population-based estimates of disease using linked health data.

scholarly journals A Label and Probe-Free Zika Virus Immunosensor Prussian Blue@carbon Nanotube-Based for Amperometric Detection of the NS2B Protein

Biosensors ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 157
Author(s):  
Bárbara V. M. Silva ◽  
Marli T. Cordeiro ◽  
Marco A. B. Rodrigues ◽  
Ernesto T. A. Marques ◽  
Rosa F. Dutra
Keyword(s):  
Carbon Nanotube ◽  
Prussian Blue ◽  
Zika Virus ◽  
Point Of Care ◽  
Amperometric Detection ◽  
Cross Reactivity ◽  
Structural Protein ◽  
Serum Samples ◽  
Polypyrrole Composite ◽  
Congenital Disabilities

Zika virus (ZIKV) is a mosquito-borne infection, predominant in tropical and subtropical regions causing international concern due to the ZIKV disease having been associated with congenital disabilities, especially microcephaly and other congenital abnormalities in the fetus and newborns. Development of strategies that minimize the devastating impact by monitoring and preventing ZIKV transmission through sexual intercourse, especially in pregnant women, since no vaccine is yet available for the prevention or treatment, is critically important. ZIKV infection is generally asymptomatic and cross-reactivity with dengue virus (DENV) is a global concern. An innovative screen-printed electrode (SPE) was developed for amperometric detection of the non-structural protein (NS2B) of ZIKV by exploring the intrinsic redox catalytic activity of Prussian blue (PB), incorporated into a carbon nanotube–polypyrrole composite. Thus, this immunosensor has the advantage of electrochemical detection without adding any redox-probe solution (probe-less detection), allowing a point-of-care diagnosis. It was responsive to serum samples of only ZIKV positive patients and non-responsive to negative ZIKV patients, even if the sample was DENV positive, indicating a possible differential diagnosis between them by NS2B. All samples used here were confirmed by CDC protocols, and immunosensor responses were also checked in the supernatant of C6/36 and in Vero cell cultures infected with ZIKV.

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