Designing a web-application to support home-based care of childhood CKD stages 3-5: Qualitative study of family and professional preferences

Background: There is a lack of online, evidence-based information and resources to support home-based care of childhood CKD stages 3-5. Methods. Qualitative interviews were undertaken with parents, patients and professionals to explore their views on content of the proposed online parent information and support (OPIS) web-application. Data were analysed using Framework Analysis, guided by the concept of Self-efficacy. Results: 32 parents, 26 patients and 12 professionals were interviewed. All groups wanted an application that explains, demonstrates, and enables parental clinical care-giving, with condition-specific, continously available, reliable, accessible material and a closed communication system to enable contact between families living with CKD. Professionals advocated a regularly updated application to empower parents to make informed health-care decisions. To address these requirements, key web-application components were defined as: (i) Clinical care-giving support (information on treatment regimens, video-learning tools, condition-specific cartoons/puzzles, and a question and answer area) and (ii) Psychosocial support for care-giving (social-networking, case studies, managing stress, and enhancing families' health-care experiences). Conclusions: Developing a web-application that meets parents' information and support needs will maximise its utility, thereby augmenting parents' self-efficacy for CKD caregiving, and optimising outcomes. Self-efficacy theory provides a schema for how parents' self-efficacy beliefs about management of their child's CKD could potentially be promoted by OPIS. © 2014 Swallow et al.; licensee BioMed Central Ltd

Parasitism in Goats: Husbandry Management, Range Management, Gut Immunity and Therapeutics

Goats play a vital role in the economy of common man. It acts as pivotal point in the uplift of socio-economic status of females. The goats are such delicate and fragile animals that encounter a lot of infectious and non-infectious diseases including viruses, bacteria and gastrointestinal parasites (GIP). The goat being a range animal is selective feeder. It needs a lot of managemental practices which safeguards its health. This chapter focuses on management, impact of gastrointestinal parasites, role of intestinal immunity, various breeds reared in Pakistan, role of plant based phytochemicals to treat against GIT parasites and various models to predict the status of health in animals

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Background Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. Methods The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model—a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates—with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality—which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. Findings The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2–100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1–290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1–211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4–48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3–37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7–9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. Interpretation Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation

In silico analysis to reveal underlying trans differentiation mechanism of Mesenchymal Stem Cells into Osteocytes

Background: Bone is a mineralized dynamic tissue, helps to protect and support the body. Osteoarthritis damages the cartilage and is responsible for the degeneration of the bone. Many cell-based therapies are available to repair the damage however, the non-availability of autologous cells and slows healing during regeneration of the damaged bone present major constraints. Hence, there is a need to search for a convenient and easily available cell source that can not only be used to repair the bone but can also enhance its regenerative potential. β-glycerophosphate, dexamethasone, and L-ascorbic-2-phosphate can differentiate mesenchymal stem cells (MSCs) into osteocytes. So far, the interaction of these compounds with osteocytes-specific proteins has not been studied. In this study, in silico analysis was performed to investigate the interaction of proteins with osteocytes specific compounds at the amino acids level.Methods: 3D structures of Dexamethasone and L-ascorbic-2-phosphate (ascorbic acid) were drawn using Molecular Operating Environment (MOE). Then absorption, distribution, metabolism, and excretion (ADME) analysis was achieved using an online tool of “Swiss Package”. By Ramachandran plot, the predicted model of ALPL, MMP13, Osteonectin, and RunX2 proteins were evaluated. Then docking of these proteins with Dexamethasone and L-ascorbic-2-phosphate was performed.Results: L-ascorbic-2-phosphate and Dexamethasone docked within the binding pockets of ALPL, RunX2, MMP13, and Osteonectin proteins, expressed in the bone cells. These compounds also showed good drug-likeness and pharmacokinetics properties.Conclusion: It is concluded that β-glycerophosphate, dexamethasone, and L-ascorbic-2-phosphate are novel substrates for osteogenic differentiation. These compounds could increase the healing and regenerative potential of bone cells by enhancing the expression of osteocytes specific proteins.Keywords: Bone; Osteoarthritis; β-glycerophosphate; Dexamethasone; L-ascorbic-2-phosphate; Docking; Differentiation; Mesenchymal stem cells (MSCs); Osteonectin

Analysis of Therapeutic Phlebotomy in Patients of Polycythemia: A Single Center Study

Introduction: Polycythemia is increased red cell mass according to age and sex of the individual. It could be primary (Polycythemia Vera), or secondary, due to chronic hypoxia or increased erythropoietic drive. Polycythemia is managed with therapeutic phlebotomy along with treating the underlying cause if determined. Phlebotomy of one unit whole blood should result in fall of Hb of at least 1g/dl. This study was conducted to see the effect of phlebotomy on fall in Hb level.Different parameters which can affect Hb levels in polycythemia patients, like age, JAK-2 mutation status and underlying cause were also studied.Methodology: A cross sectional study was conducted at blood bank of Pakistan Atomic Energy Commission (PAEC) General Hospital, Islamabad Pakistan January 2020 to December 2020. Data were collected from 121 patients of Polycythemia vera who reported in blood bank for phlebotomy.Results: The average pre phlebotomy hemoglobin of the patients was 17.45g/dl, which dropped to 15.97g/dl after phlebotomy. In total, 89 (73.5%) patients who underwent phlebotomy had a fall in Hb of greater than or equal to 1g/dl, while in 32 (26.4%) patients, Hb drop was less than 1g/dl. One hundred and five patients underwent multiple therapeutic phlebotomies to maintain their hemoglobin within normal range.Conclusion: This study has shown that there is fall in Hb as result of recommended phlebotomy leading to relief in symptoms due to Polycythemia. Phlebotomy is the basis of treating polycythemia, although in secondary polycythemia the underlying cause should also be diagnosed and treated

Accuracy of Haematology Analyzer in the Diagnosis of Malaria in Comparison with Gold Standard Microscopy

Objective: To assess the accuracy of Haematology analyzer in the diagnosis of malaria in comparison with gold standard microscopy. Methodology: A cross-sectional study was conducted at the Pakistan Institute of Medical Sciences and the Pakistan Atomic Energy Commission in Islamabad, Pakistan. The study was conducted for around six months, from May 2023 to October 2023. The Mindray BC-6200 haematology analyzer was utilised to evaluate a total of 191 samples, comprising 127 samples from that were infected with malaria and 64 samples from healthy controls. When the presence of malaria parasites, identified as Plasmodium vivax and Plasmodium falciparum, was detected in dyed thick blood film, a microscopy examination was carried out as a reference. Analyse-it v4.92.3 was used to create the receiver operating characteristic (ROC) curve analysis. The agreement between BC-6200 and light microscopy was assessed using the Kappa value. Results: The InR by BC-6200's sensitivity and specificity for P. falciparum and P. vivax infections. The sensitivity of the InR by BC-600 for P. falciparum and P. vivax was 27.9% and 85.5%, respectively. The specificity of the InR by BC-6200 for P. vivax and P. falciparum was 82.7% and 86.5%, respectively.  The infection densities in microscopy varied statistically significantly between the various InR groups (χ2 = 14.50, P < 0.005).An analysis was conducted on the correlation between the cell blood count and the count of InR in both the P. vivax and P. falciparum-infected patient groups. The results showed a clear correlation between InR (P. vivax group R2 = 0.87) and ΔWBC (WBCDIFF–WBCBASO). In the Mindray BC-6200 haematology analyzer, WBCBASO represents the number of WBC counting in the BASO channel with severe membrane degradation, while WBCDIFF represents the number of WBC counting in the DIFF channel with mild lyse.  The volume distribution widths of RBC, HGB, and red blood cells did not differ substantially. The reticulocyte characteristics of the P. vivax/P. falciparum patient group and control group differed significantly (P<0.02), although RBC, HGB, and red blood cell volume distribution width (RDW) did not differ significantly (P > 0.05). There was a significant difference (P<0.02) in the PLT count between the P. vivax/P. falciparum patient groups and the control group. Conclusion: The results imply that malaria might be screened for in a clinical setting using the BC-6200 haematology analyzer's "InR" flag and "InR#/InR‰" parameters

Prospects of the sustainability of traditional and ethnic foods and their applications for basic health care in human society

Background: Traditional and ethnic foods, rooted in centuries-old practices, have long been revered for their potential health benefits. In contemporary society, the sustainability and application of these foods for basic health care are garnering increased attention, offering promising prospects for holistic well-being. Methods: In our research, we aimed to document the medicinal plants utilized by the indigenous community residing within the study area. Between 2021 and 2022, interviews were conducted with 457 participants, with 100 of them being identified as key informants. The snowball sampling technique was utilized to identify respondents. A group discussion was also held concerning the conservation and challenges associated with medicinal plants and traditional wisdom. The medicinal plants were assessed by applying various quantitative metrics, including Use Value (UV), Fidelity Level (FL), Informant Consensus Factor (ICF), Relative Frequency Citation (RFC) and Relative Popularity Level (RPL). Results: The study identified 40 medicinal plant species from 22 different families that are employed to treat 33 unique human ailments. It was observed that perennial herbs accounted for 78% of these species in use. The leaves were shown to be the primary plant part in use, accounting for 35% and decoction was determined as the most prevalent preparation method. Some plants, such as Polygonum plebejum with the highest UV and RI values, and Centaurium pulchelum known for its use in treating jaundice with the highest RFC, were highlighted. In contrast to the findings presented in earlier literature, our study revealed a 14% concurrence rate, accompanied by a 6% disparity rate, and notably, 69% of the usages were newly documented. Conclusion: This research serves as the inaugural quantitative investigation into ethnomedicinal practices within the study area, underscoring the importance of indigenous herbal treatments. The sustainability of traditional and ethnic foods offers promising prospects for the future of health care in human society. These foods, rooted in age-old wisdom, not only preserve cultural heritage but also present holistic health benefits. Embracing them can lead to more natural, accessible, and effective health solutions, bridging the gap between traditional wisdom and modern healthcare needs