13 research outputs found
Knowledge attitude practice and acceptance of postpartum intrauterine devices among postpartal women in a tertiary care center
Background: PPIUCDs are the only method for couples requesting a highly effective and reversible, yet long acting, family planning method that can be initiated during the immediate postpartum phase. World Health Organization (WHO) medical eligibility criteria state that it is generally safe for postpartum lactating women to use a PPIUCD, with the advantages outweighing the disadvantages. PPIUCDs are cost-effective and they are low-cost intervention that reduces maternal, infant, and under-five Child mortality.Methods: After approval from the ethical committee and consent from the patients, the study was performed on 1000 postpartum women within 10 min. of delivery and up to 6 weeks of delivery at Labour Room of, M.Y. Hospital, Indore.Results: Majority of acceptor (72.5%) belong to age group of 18-25 years and 53% belonged to urban area. Acceptance was more in those who completed their secondary school level education (33%). Working women (55.5%) accepted PPIUCD more than the non-working. Out of 1000 women counselled only 10% agreed for PPIUVD insertion. During the study of 1 year duration (3.5%) of non-acceptors become pregnant and none of the acceptors conceived. Most common reason stated for accepting PPIUCD among acceptors, was that it is a reversible method (66%). Most common reason for not accepting PPIUCD among non-acceptors, because they are interested in Other Method of Family Planning (60%).Conclusions: Verbal acceptance is more than actual insertion of PPIUCD because of adoption of other method of family planning, family pressure, nonacceptance by partner, lack of awareness, fear of complication. Proper counselling can help to generate awareness and compliance for PPIUCD use in postpartum mother who have institutional delivery. Inserting CuT 380A within 10 min after placental delivery is safe and effective, has high retention rate. The expulsion rate was not high, and further can be reduced with practice could not be predicted
4-Dimensional printing: exploring current and future capabilities in biomedical and healthcare systems—a Concise review
4-Dimensional Printing (4DP) is the latest concept in the pharmacy and biomedical segment with enormous potential in dosage from personalization and medication designing, which adopts time as the fourth dimension, giving printed structures the flexibility to modify their morphology. It can be defined as the fabrication in morphology with the help of smart/intelligent materials like polymers that permit the final object to alter its properties, shape, or function in response to external stimuli such as heat, light, pH, and moisture. The applications of 4DP in biomedicines and healthcare are explored with a focus on tissue engineering, artificial organs, drug delivery, pharmaceutical and biomedical field, etc. In the medical treatments and pharmaceutical field 4DP is paving the way with unlimited potential applications; however, its mainstream use in healthcare and medical treatments is highly dependent on future developments and thorough research findings. Therefore, previous innovations with smart materials are likely to act as precursors of 4DP in many industries. This review highlights the most recent applications of 4DP technology and smart materials in biomedical and healthcare fields which can show a better perspective of 4DP applications in the future. However, in view of the existing limitations, major challenges of this technology must be addressed along with some suggestions for future research. We believe that the application of proper regulatory constraints with 4DP technology would pave the way for the next technological revolution in the biomedical and healthcare sectors
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
Synthesis of Zeolite from Fly Ash and Removal of Heavy Metal Ions from Newly Synthesized Zeolite
Coal fly ash was used to synthesize X-type zeolite by alkali fusion followed by hydrothermal treatment. Characteristics of the various Fly ash samples were carried out. Coal proximate analysis was done. Batch experiment was carried out for the adsorption of some heavy metal ions on to synthesized Zeolite. The cost of synthesized zeolite was estimated to be almost one-fifth of that of commercial 13X zeolite available in the market
Management of massive peripheral ossifying fibroma using diode laser
Peripheral ossifying fibroma (POF) represents a non-neoplastic, reactive lesion of gingiva. The precise etiopathogenesis of POF is unclear; however, it is suggested to originate from the connective tissue of periodontal ligament. This lesion predominantly occurs in the maxillary anterior region. The standard treatment protocol involves surgical excision followed by the biopsy of lesion. The reactive nature and unpredictable course attribute to a high recurrence rate of the lesion; hence, proper postoperative monitoring and follow-up of the lesion are necessary. The present case was surgically managed using diode laser and did not show any sign of recurrence during the follow-up period of 6 months. Minimum intraoperative bleeding and postoperative pain, ease of operation, and patient's acceptance enable laser-assisted growth excision as a better treatment modality to other conventional surgical procedures, thus offering diode laser as a viable and effective treatment alternative in the management of massive overgrowth
Morphological Description of Chickpea (Cicer arietanum L) Genotypes Using DUS Characterization
The cultivated chickpea (Cicer arietinum) holds great importance as a pulse crop in India. The identification and classification of diverse genotypes are crucial for implementing effective strategies to improve this crop. This study was conducted to get a comprehensive morphological characterization of desi chickpea genotypes using the DUS (Distinctness, Uniformity, and Stability) descriptors suggested by the Protection of Plant Varieties and Farmer's Rights Authority, Government of India, in 2018. Environmental conditions, such as temperature, light, humidity, and nutrient availability, can influence plant variability. Different environments impose selective pressures on plants resulting in variability within plant populations. The objective of the investigation was to identify and classify diverse chickpea genotypes based on 17 different qualitative traits observed in a field experiment. Among the 17 DUS traits only one trait exhibited a consistent phenotype (monomorphic), six traits displayed two distinct phenotypes (dimorphic), nine traits exhibited three distinct phenotypes (trimorphic), and only one trait showed more than three phenotypic variations (polymorphic) among all the chickpea genotypes studied. This indicates the presence of significant genetic variability within the chickpea germplasm, offering the potential for assigning different morphological profiles for varietal identification and characterization. In particular, for features like seed and foliar colour, pod size, leaflet size, and seed shape, it was found that a high level of diversity within the chickpea germplasm using Shannon's diversity indices. The characterization of these genotypes enabled the development of distinct profiles for each line, facilitating their identification and evaluation as elite chickpea lines
Screening of Chickpea (Cicer arietinum L.) Genotypes against Drought Stress Employing Polyethylene Glycol 6000 as Selecting Agent
Chickpea (Cicer arietinum L.) stands as a prominent legume crop globally, renowned for its elevated protein content. The primary challenges to chickpea cultivation emanate from abiotic stressors, with drought reigning as the most pivotal contributor to diminished growth and production output. To select putative drought tolerant genotype (s), an in vitro screening method was deployed, utilizing different concentration of Polyethylene Glycol (PEG 6000) as selecting agent along with control. Seeds of twenty different genotypes were treated with different concentrations of PEG6000 and observations were recorded for shoot length (cm), root length (cm), germination percentage, relative water content, seedling vigour index and stress tolerance index (STI). Evidently, all assessed attributes exhibited a significant reduction commensurate with the augmentation of PEG6000. This trend detrimentally influenced germination and the entirety of seedling growth-related metrics. Furthermore, the distinction in variability across genotypes concerning germination percentage, vigour index, and stress tolerance index (STI) emerged as vigorous and informative standards for discriminating drought-tolerant chickpea genotype (s) during both germination and seedling phases. Investigative findings spotlighted the drought-tolerant disposition of genotypes, where genotypes viz., SAGL152252, ICC4958, and JG315 found to be putative drought tolerant based on different parameters investigated