Russel’s score and diabetes mellitus type 2 “finding the association”: a cross sectional study from one of the districts in Bihar, India

Background: Diabetes has been on the rise since last decade or so with prevalence rate changing as more research is being done. India is one of the most burdened country from diabetes specially type 2. With changing life style other diseases are also on the rise and evidence is being generated to find tangible association. One such disease is periodontitis. As evidence from the State of Bihar for association between periodontitis and diabetes mellitus is negligible this study was conducted to find the same.Methods: A cross sectional observational study in community settings was done for three months on 200 diabetic willing participants. Data was generated using a semi structured pretested questionnaire. Data analysis was done using SPSS version 22.0 and statistical measures of central tendency like mean, mode, median and standard deviation were used.  For establishing association chi square tests were used. P values<0.05 were considered to be statistically significant.Results: 61.5% of the participants were male while 65.5% were from rural area. The study population was on an average on the older side with a mean age of 52±12.15 and on the bulky size with a BMI of 28.85±4.08. Authors got the average Russel’s score to be 1.1±1.79. The mean blood sugar level for fasting was 146.40±59.99 and post prandial levels was 211.59±82.49. A Russel score category of established periodontal disease and terminal disease was present in 77.5% of participants having an altered fasting blood sugar level. Majority of the males had established periodontal disease and terminal disease. Patients with elevated postprandial blood sugar levels had more established periodontal disease and terminal disease.Conclusions: Oral health is definitely associated with diabetes mellitus type 2 and its other factors like duration, glycaemic control, blood sugar levels etc. Public awareness regarding this is minimal. More research and awareness regarding this will help in keeping the diabetic population healthy

Exploring the trends of breathlessness and mortality in conjunction with AQI in India’s coal capital, Dhanbad

Background: Air Quality Index (AQI) has been evidenced to be linked with various health problems including NCDs. Globally, the combined effect of ambient air and household air pollution causes 6.7 million premature deaths. Objective: A study was undertaken to understand various associations of AQI and morbidity data, indigenous to the coal capital region of India. Methodology: This was a cross-sectional study where district AQI data was obtained from the state of Jharkhand while mortality and morbidity data were collected from our medical college. MS Excel and SPSS were used to analyse the data. Results: During the study period, the AQI of Dhanbad has been moderate to poor. The lowest AQI was noted in May 2020 at 105 while the highest in June 2019 at 217. The highest admission, due to respiratory illness, was noted in May 2020 with AQI of 105. Using univariate analysis age categorisation was statistically significant, as the respiratory illness was highest in &gt;85 years age group. In logistic regression, it has the highest odds of 2.9 (1.5-5.5). Conclusion: This region-specific indigenous information is expected to provide a valuable tool for Air quality managers for more focused action. It also highlights the health impacts of the worsening air quality

Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021

Background: Future trends in disease burden and drivers of health are of great interest to policy makers and the public at large. This information can be used for policy and long-term health investment, planning, and prioritisation. We have expanded and improved upon previous forecasts produced as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) and provide a reference forecast (the most likely future), and alternative scenarios assessing disease burden trajectories if selected sets of risk factors were eliminated from current levels by 2050. Methods: Using forecasts of major drivers of health such as the Socio-demographic Index (SDI; a composite measure of lag-distributed income per capita, mean years of education, and total fertility under 25 years of age) and the full set of risk factor exposures captured by GBD, we provide cause-specific forecasts of mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) by age and sex from 2022 to 2050 for 204 countries and territories, 21 GBD regions, seven super-regions, and the world. All analyses were done at the cause-specific level so that only risk factors deemed causal by the GBD comparative risk assessment influenced future trajectories of mortality for each disease. Cause-specific mortality was modelled using mixed-effects models with SDI and time as the main covariates, and the combined impact of causal risk factors as an offset in the model. At the all-cause mortality level, we captured unexplained variation by modelling residuals with an autoregressive integrated moving average model with drift attenuation. These all-cause forecasts constrained the cause-specific forecasts at successively deeper levels of the GBD cause hierarchy using cascading mortality models, thus ensuring a robust estimate of cause-specific mortality. For non-fatal measures (eg, low back pain), incidence and prevalence were forecasted from mixed-effects models with SDI as the main covariate, and YLDs were computed from the resulting prevalence forecasts and average disability weights from GBD. Alternative future scenarios were constructed by replacing appropriate reference trajectories for risk factors with hypothetical trajectories of gradual elimination of risk factor exposure from current levels to 2050. The scenarios were constructed from various sets of risk factors: environmental risks (Safer Environment scenario), risks associated with communicable, maternal, neonatal, and nutritional diseases (CMNNs; Improved Childhood Nutrition and Vaccination scenario), risks associated with major non-communicable diseases (NCDs; Improved Behavioural and Metabolic Risks scenario), and the combined effects of these three scenarios. Using the Shared Socioeconomic Pathways climate scenarios SSP2-4.5 as reference and SSP1-1.9 as an optimistic alternative in the Safer Environment scenario, we accounted for climate change impact on health by using the most recent Intergovernmental Panel on Climate Change temperature forecasts and published trajectories of ambient air pollution for the same two scenarios. Life expectancy and healthy life expectancy were computed using standard methods. The forecasting framework includes computing the age-sex-specific future population for each location and separately for each scenario. 95% uncertainty intervals (UIs) for each individual future estimate were derived from the 2·5th and 97·5th percentiles of distributions generated from propagating 500 draws through the multistage computational pipeline. Findings: In the reference scenario forecast, global and super-regional life expectancy increased from 2022 to 2050, but improvement was at a slower pace than in the three decades preceding the COVID-19 pandemic (beginning in 2020). Gains in future life expectancy were forecasted to be greatest in super-regions with comparatively low life expectancies (such as sub-Saharan Africa) compared with super-regions with higher life expectancies (such as the high-income super-region), leading to a trend towards convergence in life expectancy across locations between now and 2050. At the super-region level, forecasted healthy life expectancy patterns were similar to those of life expectancies. Forecasts for the reference scenario found that health will improve in the coming decades, with all-cause age-standardised DALY rates decreasing in every GBD super-region. The total DALY burden measured in counts, however, will increase in every super-region, largely a function of population ageing and growth. We also forecasted that both DALY counts and age-standardised DALY rates will continue to shift from CMNNs to NCDs, with the most pronounced shifts occurring in sub-Saharan Africa (60·1% [95% UI 56·8–63·1] of DALYs were from CMNNs in 2022 compared with 35·8% [31·0–45·0] in 2050) and south Asia (31·7% [29·2–34·1] to 15·5% [13·7–17·5]). This shift is reflected in the leading global causes of DALYs, with the top four causes in 2050 being ischaemic heart disease, stroke, diabetes, and chronic obstructive pulmonary disease, compared with 2022, with ischaemic heart disease, neonatal disorders, stroke, and lower respiratory infections at the top. The global proportion of DALYs due to YLDs likewise increased from 33·8% (27·4–40·3) to 41·1% (33·9–48·1) from 2022 to 2050, demonstrating an important shift in overall disease burden towards morbidity and away from premature death. The largest shift of this kind was forecasted for sub-Saharan Africa, from 20·1% (15·6–25·3) of DALYs due to YLDs in 2022 to 35·6% (26·5–43·0) in 2050. In the assessment of alternative future scenarios, the combined effects of the scenarios (Safer Environment, Improved Childhood Nutrition and Vaccination, and Improved Behavioural and Metabolic Risks scenarios) demonstrated an important decrease in the global burden of DALYs in 2050 of 15·4% (13·5–17·5) compared with the reference scenario, with decreases across super-regions ranging from 10·4% (9·7–11·3) in the high-income super-region to 23·9% (20·7–27·3) in north Africa and the Middle East. The Safer Environment scenario had its largest decrease in sub-Saharan Africa (5·2% [3·5–6·8]), the Improved Behavioural and Metabolic Risks scenario in north Africa and the Middle East (23·2% [20·2–26·5]), and the Improved Nutrition and Vaccination scenario in sub-Saharan Africa (2·0% [–0·6 to 3·6]). Interpretation: Globally, life expectancy and age-standardised disease burden were forecasted to improve between 2022 and 2050, with the majority of the burden continuing to shift from CMNNs to NCDs. That said, continued progress on reducing the CMNN disease burden will be dependent on maintaining investment in and policy emphasis on CMNN disease prevention and treatment. Mostly due to growth and ageing of populations, the number of deaths and DALYs due to all causes combined will generally increase. By constructing alternative future scenarios wherein certain risk exposures are eliminated by 2050, we have shown that opportunities exist to substantially improve health outcomes in the future through concerted efforts to prevent exposure to well established risk factors and to expand access to key health interventions

Robust estimation of bacterial cell count from optical density

Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals &lt;1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data

Search for gravitational-lensing signatures in the full third observing run of the LIGO-Virgo network

Gravitational lensing by massive objects along the line of sight to the source causes distortions of gravitational wave-signals; such distortions may reveal information about fundamental physics, cosmology and astrophysics. In this work, we have extended the search for lensing signatures to all binary black hole events from the third observing run of the LIGO--Virgo network. We search for repeated signals from strong lensing by 1) performing targeted searches for subthreshold signals, 2) calculating the degree of overlap amongst the intrinsic parameters and sky location of pairs of signals, 3) comparing the similarities of the spectrograms amongst pairs of signals, and 4) performing dual-signal Bayesian analysis that takes into account selection effects and astrophysical knowledge. We also search for distortions to the gravitational waveform caused by 1) frequency-independent phase shifts in strongly lensed images, and 2) frequency-dependent modulation of the amplitude and phase due to point masses. None of these searches yields significant evidence for lensing. Finally, we use the non-detection of gravitational-wave lensing to constrain the lensing rate based on the latest merger-rate estimates and the fraction of dark matter composed of compact objects

Search for eccentric black hole coalescences during the third observing run of LIGO and Virgo

Despite the growing number of confident binary black hole coalescences observed through gravitational waves so far, the astrophysical origin of these binaries remains uncertain. Orbital eccentricity is one of the clearest tracers of binary formation channels. Identifying binary eccentricity, however, remains challenging due to the limited availability of gravitational waveforms that include effects of eccentricity. Here, we present observational results for a waveform-independent search sensitive to eccentric black hole coalescences, covering the third observing run (O3) of the LIGO and Virgo detectors. We identified no new high-significance candidates beyond those that were already identified with searches focusing on quasi-circular binaries. We determine the sensitivity of our search to high-mass (total mass M&gt;70 M⊙) binaries covering eccentricities up to 0.3 at 15 Hz orbital frequency, and use this to compare model predictions to search results. Assuming all detections are indeed quasi-circular, for our fiducial population model, we place an upper limit for the merger rate density of high-mass binaries with eccentricities 0&lt;e≤0.3 at 0.33 Gpc−3 yr−1 at 90\% confidence level

Ultralight vector dark matter search using data from the KAGRA O3GK run

Among the various candidates for dark matter (DM), ultralight vector DM can be probed by laser interferometric gravitational wave detectors through the measurement of oscillating length changes in the arm cavities. In this context, KAGRA has a unique feature due to differing compositions of its mirrors, enhancing the signal of vector DM in the length change in the auxiliary channels. Here we present the result of a search for U(1)B−L gauge boson DM using the KAGRA data from auxiliary length channels during the first joint observation run together with GEO600. By applying our search pipeline, which takes into account the stochastic nature of ultralight DM, upper bounds on the coupling strength between the U(1)B−L gauge boson and ordinary matter are obtained for a range of DM masses. While our constraints are less stringent than those derived from previous experiments, this study demonstrates the applicability of our method to the lower-mass vector DM search, which is made difficult in this measurement by the short observation time compared to the auto-correlation time scale of DM

Evaluating the Lumbar Nerve Root Stretching using Straight Leg Raising Technique A cost effective treatment option for patients of lumbar disc disease

Background: Lumbar disc disease is one of the most important cause of lumbar radiculopathy. Even a normal healthy disc may rupture by sudden heavy load if it is beyond the tensile limit of annulus fibrous. The lumbo-sacral radicular pain due to lumbar disc herniation, is responsible for DALY loss in terms of work absenteeism and disability. For a developing country like ours it’s a major health issue often ignored as patients don’t require hospitalization. In a developing country a cost effective method which is not increasing any out of pocket expenditure for the patient for relief from the lumbar disc disease suffering must be hailed as a boon considering its effectiveness as well as feasibility of administration everywhere. Method Starting March 18 till Dec 19 records of patients coming as per our eligibility criteria after IEC clearance were evaluated for the effectiveness of straight leg raising technique with data being analyzed using the measures of central tendency and other appropriate tests. Results Out of 72 patients 69 achieved improvement in pain while 68 achieved improvement in their ability to move along. Conclusion Given the zero cost of exercise technique this technique is an easy to master technique. if larger studies can validate our findings this can be taken at grass root levels to bolster the health care systems and train front line health care service givers so that last mile beneficiary too gets the benefit and relief from chronic pain owing to lumbar disease

Impact of milk on malnutrition and cognitive skills among school children: Evidence from gift milk initiative from a tribal state of India

Background: The objective of this study was to assess the impact of fortified milk on various aspects of growth and development among school children in a tribal-predominant district of Jharkhand, India. Materials and Methods: A longitudinal study was planned in 16 schools (eight in intervention group and eight in control group) of Latehar district of Jharkhand in India. Out of the total 962 study participants, only 528 study participants were considered in study analysis, who were present both during baseline and endline study after 1 year of milk introduction. The study participants were assessed for nutrition, intelligence quotient, and hemoglobin levels with the help of study tools and instruments. Results: The decrease in malnutrition was more evident in the intervention group during endline assessment, with 95% confidence interval (95% CI; 7.37, 7.42) and 95% CI (10.63, 10.58) for the difference in proportion in the intervention and control groups for stunting and thinness, respectively. This was statistically significant (P < 0.05). Anemia also improved with better cognition in the intervention group, and the difference was statistically significant (P < 0.05). Conclusion: In our study, beneficial effects of milk on malnourished children were evident, particularly in combating stunting and thinness, and it also had a positive impact on cognitive skills in school children