Diagnostic value of CD14+ CD16+ monocytes in neonatal sepsis

Background: The majority of monocytes (MO) are strongly positive for CD14 and negative for CD16. The phenotype and function of peripheral blood monocytes change after trauma and during sepsis. CD14+CD16+ monocytes, identified as a minor population of monocytes which constitute a potent phagocytosing and antigen-presenting monocyte subpopulation that expands during acute and chronic infections. Objective: To evaluate monocyte expression of CD14 and CD16 in preterm neonates and to assess it as a possible marker for early diagnosis of neonatal sepsis as the early clinical signs are often insidious and non-specific. Methods: This study was carried out on 45 preterm neonates (1-3 days old ) with a mean gestational age of 34.5 ± 1.03 weeks . They were classified into three groups. Group I included 15 neonates with proven sepsis. Group II included 15 neonates with possible or suspected infection. Group III (control group) included 15 healthy age and sex matched neonates. The neonates with possible infection were followed up. Nine of them developed sepsis later on (proved clinically and by laboratory) and they were considered as patients with early sepsis at the time of admission. History taking and clinical examination were performed as well as laboratory investigations including, complete blood count, blood culture and sensitivity (for patients only), measurement of C-reactive protein (CRP) and CD14 and CD16 expression on monocytes by flow cytometry. Results: The proportion of CD14+ CD16+ MO within all circulating monocytes was significantly higher in patients with proven (75.2±13.1%), early (63.9±17.9%) or possible sepsis (55.1±26.8%) than controls (3.86±2.53%) (p < 0.0001, p < 0.0001, p < 0.001, respecctively). It was higher in neonates with proven than possible sepsis (p > 0.05), whereas it was comparable in the groups of proven and early sepsis (p < 0.05). There was a significant positive correlation between mean fluorescence intensity (MFI) of CD16+ MO and CRP (p < 0.01) and a significant negative correlation between it and the platelet count (p < 0.05) among patients. When neonates with early sepsis were followed up after 48 hours a significant increase in CRP levels and MFI of CD16 expression on monocytes was noted (p < 0.01 for both). The sensitivity and negative predictive value of CD14+ CD16+ MO% and MFI of CD16+ MO were higher than that of CRP. Specificity and positive predictive value of CD14+CD16+ MO% were similar to those of CRP. The cut off point (obtained from the ROC curve) for CD14+ CD16+ MO% was 8.6% and that for MFI of CD16+ MO was 9. Conclusion: The measurement of the percentage of CD14+ CD16+ MO among circulating MO is a promising rapid and sensitive test for early diagnosis of neonatal sepsis and exclusion of infection in neonates with high risk to develop sepsis. NICU costs as well as unnecessary antibiotic use can be thus reduced.Keywords: CD14, CD16, monocyte, neonate, sepsisEgypt J Pediatr Allergy Immunol 2004; 2(1): 16-2

Sputum epithelial cell-derived neutrophil-activating peptide-78 (ENA-78/CXCL5) in asthmatic children: relation to eosinophil activation

Background: Epithelial cell-derived neutrophil-activating peptide-78 (ENA-78) is a chemokine that recruits and activates neutrophils, possesses angiogenic properties and promotes connective tissue remodeling. Thus, it could play a pathogenic role in allergic airway inflammation. Eosinophils are the major source for this chemokine in inflamed airways. Objective: To evaluate sputum ENA-78 expression and its relation to acute asthma exacerbations of varying severity, and eosinophil cationic protein (ECP) as a marker of eosinophil activation, as well as eosinophil counts in blood and sputum. Methods: Sputum ENA-78 and serum ECP were measured by ELISA in 21 children during and after acute asthma exacerbation and 21 healthy matched controls. Patients were subdivided according to exacerbation severity into three equal subgroups; mild, moderate and severe. Results: Sputum ENA-78 was significantly higher in asthmatic children during acute exacerbation than controls (310.1±156.9 pg/ml vs 65.9±11.6 pg/ml, p < 0.0001). It was significantly higher in severe than moderate and in moderate than mild exacerbations, and was negatively correlated to the peak expiratory flow rate. Sputum ENA-78 showed significant positive correlations with serum ECP and eosinophil counts in blood and sputum. By follow up of patients with acute asthma exacerbation till remission of symptoms and signs, sputum ENA-78, serum ECP and eosinophil counts in blood and sputum decreased significantly, but their levels remained significantly higher than the control values. Conclusion: Sputum ENA-78 is increased during acute asthma exacerbation and it positively correlates with exacerbation severity and eosinophil activation. Thus, it may play a role in the evolution of acute asthma exacerbation and may be a future target for new asthma therapeutic modalities.Keywords: Bronchial asthma; chemokines; children; epithelial cell-derived neutrophil-activating peptide-78; eosinophils; eosinophil cationic protein; sputum markersEgypt J Pediatr Allergy Immunol 2007; 5(2): 55-6

Monocyte chemotactic protein-4 (MCP-4/CCL-13) and CC chemokine receptor 3 (CCR3) in the sputum of asthmatic children

Background: Monocyte chemotactic protein-4 (MCP-4/CCL-13) is a potent chemoattractant to eosinophils, monocytes and lymphocytes. Objective: We aimed to investigate MCP-4 and its CC chemokine receptor 3 (CCR3) expression on cells of induced sputum during acute asthma exacerbation. Methods: Immunohistochemistry was used to assess MCP-4 and CCR3 expression on induced sputum cells of 30 children during asthma exacerbation and 20 healthy matched controls. Patients were divided into three groups according to exacerbation severity; mild, moderate and severe (n = 10 for each). Patients were followed until quiescence, when sputum was re-examined. Results: MCP-4 and CCR3 were expressed on eosinophils and monocytes. Lymphocytes expressed only MCP-4. The percentages of sputum total cells, eosinophils and lymphocytes expressing MCP-4 and/or CCR3 were significantly higher during asthma exacerbation than in controls and negatively correlated with peak expiratory flow rate, whereas that of monocytes was not. The percentages of sputum total cells, eosinophils, monocytes and lymphocytes expressing MCP-4; and total cells and eosinophils expressing CCR3 were significantly higher in patients with severe than those with mild and moderate exacerbations. When patients were followed till remission, the percentages of sputum cells expressing MCP-4 and CCR3 decreased. Sputum eosinophil percentage correlated positively with the percentage of eosinophils expressing MCP-4 and CCR3 (r = 0.69, p < 0.0001; r = 0.62, p < 0.001, respectively). The percentage of sputum eosinophils expressing MCP-4 correlated positively with that of cells expressing CCR3 (r = 0.95, p < 0.0001). Conclusion: The expression of MCP-4 and CCR3 on sputum cells increases during acute asthma exacerbation and this increase correlates with exacerbation severity, and it decreases during remission. Modification of their expression could be a potential target for asthma therapy.Keywords: asthma, CCL-13; CCR3; chemokines; eosinophils; MCP-4; sputumEgypt J Pediatr Allergy Immunol 2008; 6(1): 13-2

Contributions of mean and shape of blood pressure distribution to worldwide trends and variations in raised blood pressure: A pooled analysis of 1018 population-based measurement studies with 88.6 million participants

© The Author(s) 2018. Background: Change in the prevalence of raised blood pressure could be due to both shifts in the entire distribution of blood pressure (representing the combined effects of public health interventions and secular trends) and changes in its high-blood-pressure tail (representing successful clinical interventions to control blood pressure in the hypertensive population). Our aim was to quantify the contributions of these two phenomena to the worldwide trends in the prevalence of raised blood pressure. Methods: We pooled 1018 population-based studies with blood pressure measurements on 88.6 million participants from 1985 to 2016. We first calculated mean systolic blood pressure (SBP), mean diastolic blood pressure (DBP) and prevalence of raised blood pressure by sex and 10-year age group from 20-29 years to 70-79 years in each study, taking into account complex survey design and survey sample weights, where relevant. We used a linear mixed effect model to quantify the association between (probittransformed) prevalence of raised blood pressure and age-group- and sex-specific mean blood pressure. We calculated the contributions of change in mean SBP and DBP, and of change in the prevalence-mean association, to the change in prevalence of raised blood pressure. Results: In 2005-16, at the same level of population mean SBP and DBP, men and women in South Asia and in Central Asia, the Middle East and North Africa would have the highest prevalence of raised blood pressure, and men and women in the highincome Asia Pacific and high-income Western regions would have the lowest. In most region-sex-age groups where the prevalence of raised blood pressure declined, one half or more of the decline was due to the decline in mean blood pressure. Where prevalence of raised blood pressure has increased, the change was entirely driven by increasing mean blood pressure, offset partly by the change in the prevalence-mean association. Conclusions: Change in mean blood pressure is the main driver of the worldwide change in the prevalence of raised blood pressure, but change in the high-blood-pressure tail of the distribution has also contributed to the change in prevalence, especially in older age groups

Repositioning of the global epicentre of non-optimal cholesterol

High blood cholesterol is typically considered a feature of wealthy western countries(1,2). However, dietary and behavioural determinants of blood cholesterol are changing rapidly throughout the world(3) and countries are using lipid-lowering medications at varying rates. These changes can have distinct effects on the levels of high-density lipoprotein (HDL) cholesterol and non-HDL cholesterol, which have different effects on human health(4,5). However, the trends of HDL and non-HDL cholesterol levels over time have not been previously reported in a global analysis. Here we pooled 1,127 population-based studies that measured blood lipids in 102.6 million individuals aged 18 years and older to estimate trends from 1980 to 2018 in mean total, non-HDL and HDL cholesterol levels for 200 countries. Globally, there was little change in total or non-HDL cholesterol from 1980 to 2018. This was a net effect of increases in low- and middle-income countries, especially in east and southeast Asia, and decreases in high-income western countries, especially those in northwestern Europe, and in central and eastern Europe. As a result, countries with the highest level of non-HDL cholesterol-which is a marker of cardiovascular riskchanged from those in western Europe such as Belgium, Finland, Greenland, Iceland, Norway, Sweden, Switzerland and Malta in 1980 to those in Asia and the Pacific, such as Tokelau, Malaysia, The Philippines and Thailand. In 2017, high non-HDL cholesterol was responsible for an estimated 3.9 million (95% credible interval 3.7 million-4.2 million) worldwide deaths, half of which occurred in east, southeast and south Asia. The global repositioning of lipid-related risk, with non-optimal cholesterol shifting from a distinct feature of high-income countries in northwestern Europe, north America and Australasia to one that affects countries in east and southeast Asia and Oceania should motivate the use of population-based policies and personal interventions to improve nutrition and enhance access to treatment throughout the world.Peer reviewe

Rising rural body-mass index is the main driver of the global obesity epidemic in adults

Body-mass index (BMI) has increased steadily in most countries in parallel with a rise in the proportion of the population who live in cities(.)(1,2) This has led to a widely reported view that urbanization is one of the most important drivers of the global rise in obesity(3-6). Here we use 2,009 population-based studies, with measurements of height and weight in more than 112 million adults, to report national, regional and global trends in mean BMI segregated by place of residence (a rural or urban area) from 1985 to 2017. We show that, contrary to the dominant paradigm, more than 55% of the global rise in mean BMI from 1985 to 2017-and more than 80% in some low- and middle-income regions-was due to increases in BMI in rural areas. This large contribution stems from the fact that, with the exception of women in sub-Saharan Africa, BMI is increasing at the same rate or faster in rural areas than in cities in low- and middle-income regions. These trends have in turn resulted in a closing-and in some countries reversal-of the gap in BMI between urban and rural areas in low- and middle-income countries, especially for women. In high-income and industrialized countries, we noted a persistently higher rural BMI, especially for women. There is an urgent need for an integrated approach to rural nutrition that enhances financial and physical access to healthy foods, to avoid replacing the rural undernutrition disadvantage in poor countries with a more general malnutrition disadvantage that entails excessive consumption of low-quality calories.Peer reviewe

Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants

Summary Background Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents. Methods For this pooled analysis, we used a database of cardiometabolic risk factors collated by the Non-Communicable Disease Risk Factor Collaboration. We applied a Bayesian hierarchical model to estimate trends from 1985 to 2019 in mean height and mean BMI in 1-year age groups for ages 5–19 years. The model allowed for non-linear changes over time in mean height and mean BMI and for non-linear changes with age of children and adolescents, including periods of rapid growth during adolescence. Findings We pooled data from 2181 population-based studies, with measurements of height and weight in 65 million participants in 200 countries and territories. In 2019, we estimated a difference of 20 cm or higher in mean height of 19-year-old adolescents between countries with the tallest populations (the Netherlands, Montenegro, Estonia, and Bosnia and Herzegovina for boys; and the Netherlands, Montenegro, Denmark, and Iceland for girls) and those with the shortest populations (Timor-Leste, Laos, Solomon Islands, and Papua New Guinea for boys; and Guatemala, Bangladesh, Nepal, and Timor-Leste for girls). In the same year, the difference between the highest mean BMI (in Pacific island countries, Kuwait, Bahrain, The Bahamas, Chile, the USA, and New Zealand for both boys and girls and in South Africa for girls) and lowest mean BMI (in India, Bangladesh, Timor-Leste, Ethiopia, and Chad for boys and girls; and in Japan and Romania for girls) was approximately 9–10 kg/m2. In some countries, children aged 5 years started with healthier height or BMI than the global median and, in some cases, as healthy as the best performing countries, but they became progressively less healthy compared with their comparators as they grew older by not growing as tall (eg, boys in Austria and Barbados, and girls in Belgium and Puerto Rico) or gaining too much weight for their height (eg, girls and boys in Kuwait, Bahrain, Fiji, Jamaica, and Mexico; and girls in South Africa and New Zealand). In other countries, growing children overtook the height of their comparators (eg, Latvia, Czech Republic, Morocco, and Iran) or curbed their weight gain (eg, Italy, France, and Croatia) in late childhood and adolescence. When changes in both height and BMI were considered, girls in South Korea, Vietnam, Saudi Arabia, Turkey, and some central Asian countries (eg, Armenia and Azerbaijan), and boys in central and western Europe (eg, Portugal, Denmark, Poland, and Montenegro) had the healthiest changes in anthropometric status over the past 3·5 decades because, compared with children and adolescents in other countries, they had a much larger gain in height than they did in BMI. The unhealthiest changes—gaining too little height, too much weight for their height compared with children in other countries, or both—occurred in many countries in sub-Saharan Africa, New Zealand, and the USA for boys and girls; in Malaysia and some Pacific island nations for boys; and in Mexico for girls. Interpretation The height and BMI trajectories over age and time of school-aged children and adolescents are highly variable across countries, which indicates heterogeneous nutritional quality and lifelong health advantages and risks

Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants.

BACKGROUND: Hypertension can be detected at the primary health-care level and low-cost treatments can effectively control hypertension. We aimed to measure the prevalence of hypertension and progress in its detection, treatment, and control from 1990 to 2019 for 200 countries and territories. METHODS: We used data from 1990 to 2019 on people aged 30-79 years from population-representative studies with measurement of blood pressure and data on blood pressure treatment. We defined hypertension as having systolic blood pressure 140 mm Hg or greater, diastolic blood pressure 90 mm Hg or greater, or taking medication for hypertension. We applied a Bayesian hierarchical model to estimate the prevalence of hypertension and the proportion of people with hypertension who had a previous diagnosis (detection), who were taking medication for hypertension (treatment), and whose hypertension was controlled to below 140/90 mm Hg (control). The model allowed for trends over time to be non-linear and to vary by age. FINDINGS: The number of people aged 30-79 years with hypertension doubled from 1990 to 2019, from 331 (95% credible interval 306-359) million women and 317 (292-344) million men in 1990 to 626 (584-668) million women and 652 (604-698) million men in 2019, despite stable global age-standardised prevalence. In 2019, age-standardised hypertension prevalence was lowest in Canada and Peru for both men and women; in Taiwan, South Korea, Japan, and some countries in western Europe including Switzerland, Spain, and the UK for women; and in several low-income and middle-income countries such as Eritrea, Bangladesh, Ethiopia, and Solomon Islands for men. Hypertension prevalence surpassed 50% for women in two countries and men in nine countries, in central and eastern Europe, central Asia, Oceania, and Latin America. Globally, 59% (55-62) of women and 49% (46-52) of men with hypertension reported a previous diagnosis of hypertension in 2019, and 47% (43-51) of women and 38% (35-41) of men were treated. Control rates among people with hypertension in 2019 were 23% (20-27) for women and 18% (16-21) for men. In 2019, treatment and control rates were highest in South Korea, Canada, and Iceland (treatment >70%; control >50%), followed by the USA, Costa Rica, Germany, Portugal, and Taiwan. Treatment rates were less than 25% for women and less than 20% for men in Nepal, Indonesia, and some countries in sub-Saharan Africa and Oceania. Control rates were below 10% for women and men in these countries and for men in some countries in north Africa, central and south Asia, and eastern Europe. Treatment and control rates have improved in most countries since 1990, but we found little change in most countries in sub-Saharan Africa and Oceania. Improvements were largest in high-income countries, central Europe, and some upper-middle-income and recently high-income countries including Costa Rica, Taiwan, Kazakhstan, South Africa, Brazil, Chile, Turkey, and Iran. INTERPRETATION: Improvements in the detection, treatment, and control of hypertension have varied substantially across countries, with some middle-income countries now outperforming most high-income nations. The dual approach of reducing hypertension prevalence through primary prevention and enhancing its treatment and control is achievable not only in high-income countries but also in low-income and middle-income settings. FUNDING: WHO

Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants

Background Hypertension can be detected at the primary health-care level and low-cost treatments can effectively control hypertension. We aimed to measure the prevalence of hypertension and progress in its detection, treatment, and control from 1990 to 2019 for 200 countries and territories. Methods We used data from 1990 to 2019 on people aged 30-79 years from population-representative studies with measurement of blood pressure and data on blood pressure treatment. We defined hypertension as having systolic blood pressure 140 mm Hg or greater, diastolic blood pressure 90 mm Hg or greater, or taking medication for hypertension. We applied a Bayesian hierarchical model to estimate the prevalence of hypertension and the proportion of people with hypertension who had a previous diagnosis (detection), who were taking medication for hypertension (treatment), and whose hypertension was controlled to below 140/90 mm Hg (control). The model allowed for trends over time to be non-linear and to vary by age. Findings The number of people aged 30-79 years with hypertension doubled from 1990 to 2019, from 331 (95% credible interval 306-359) million women and 317 (292-344) million men in 1990 to 626 (584-668) million women and 652 (604-698) million men in 2019, despite stable global age-standardised prevalence. In 2019, age-standardised hypertension prevalence was lowest in Canada and Peru for both men and women; in Taiwan, South Korea, Japan, and some countries in western Europe including Switzerland, Spain, and the UK for women; and in several low-income and middle-income countries such as Eritrea, Bangladesh, Ethiopia, and Solomon Islands for men. Hypertension prevalence surpassed 50% for women in two countries and men in nine countries, in central and eastern Europe, central Asia, Oceania, and Latin America. Globally, 59% (55-62) of women and 49% (46-52) of men with hypertension reported a previous diagnosis of hypertension in 2019, and 47% (43-51) of women and 38% (35-41) of men were treated. Control rates among people with hypertension in 2019 were 23% (20-27) for women and 18% (16-21) for men. In 2019, treatment and control rates were highest in South Korea, Canada, and Iceland (treatment >70%; control >50%), followed by the USA, Costa Rica, Germany, Portugal, and Taiwan. Treatment rates were less than 25% for women and less than 20% for men in Nepal, Indonesia, and some countries in sub-Saharan Africa and Oceania. Control rates were below 10% for women and men in these countries and for men in some countries in north Africa, central and south Asia, and eastern Europe. Treatment and control rates have improved in most countries since 1990, but we found little change in most countries in sub-Saharan Africa and Oceania. Improvements were largest in high-income countries, central Europe, and some upper-middle-income and recently high-income countries including Costa Rica, Taiwan, Kazakhstan, South Africa, Brazil, Chile, Turkey, and Iran. Interpretation Improvements in the detection, treatment, and control of hypertension have varied substantially across countries, with some middle-income countries now outperforming most high-income nations. The dual approach of reducing hypertension prevalence through primary prevention and enhancing its treatment and control is achievable not only in high-income countries but also in low-income and middle-income settings. Copyright (C) 2021 World Health Organization; licensee Elsevier