10 research outputs found
Immunohistochemical Analysis of Nf-κB Expression and its Relation to Apoptosis and Proliferation in Different Odontogenic Tumors
Influence of Vitamin E on Proliferation and Differentiation of Rat’s Dental Follicle Stem Cells Treated with Nicotine (An Experimental Study)
Exploring the cost-effectiveness of high versus low perioperative fraction of inspired oxygen in the prevention of surgical site infections among abdominal surgery patients in three low- and middle-income countries
Background: This study assessed the potential cost-effectiveness of high (80–100%) vs low (21–35%) fraction of inspired oxygen (FiO2) at preventing surgical site infections (SSIs) after abdominal surgery in Nigeria, India, and South Africa. Methods: Decision-analytic models were constructed using best available evidence sourced from unbundled data of an ongoing pilot trial assessing the effectiveness of high FiO2, published literature, and a cost survey in Nigeria, India, and South Africa. Effectiveness was measured as percentage of SSIs at 30 days after surgery, a healthcare perspective was adopted, and costs were reported in US dollars (216 compared with 6 (95% confidence interval [CI]: −1) difference in costs. In India, the average cost for high FiO2 was 195 for low FiO2 leading to a −15 to −1164 compared with 93 (95% CI: −65) difference in costs. The high FiO2 arm had few SSIs, 7.33% compared with 8.38% for low FiO2, leading to a −1.05 (95% CI: −1.14 to −0.90) percentage point reduction in SSIs. Conclusion: High FiO2 could be cost-effective at preventing SSIs in the three countries but further data from large clinical trials are required to confirm this. © 2023 The Author
Exploring the cost-effectiveness of high versus low perioperative fraction of inspired oxygen in the prevention of surgical site infections among abdominal surgery patients in three low- and middle-income countries
Background: This study assessed the potential cost-effectiveness of high (80–100%) vs low (21–35%) fraction of inspired oxygen (FiO2) at preventing surgical site infections (SSIs) after abdominal surgery in Nigeria, India, and South Africa. Methods: Decision-analytic models were constructed using best available evidence sourced from unbundled data of an ongoing pilot trial assessing the effectiveness of high FiO2, published literature, and a cost survey in Nigeria, India, and South Africa. Effectiveness was measured as percentage of SSIs at 30 days after surgery, a healthcare perspective was adopted, and costs were reported in US dollars (216 compared with 6 (95% confidence interval [CI]: −1) difference in costs. In India, the average cost for high FiO2 was 195 for low FiO2 leading to a −15 to −1164 compared with 93 (95% CI: −65) difference in costs. The high FiO2 arm had few SSIs, 7.33% compared with 8.38% for low FiO2, leading to a −1.05 (95% CI: −1.14 to −0.90) percentage point reduction in SSIs. Conclusion: High FiO2 could be cost-effective at preventing SSIs in the three countries but further data from large clinical trials are required to confirm this
Use of Telemedicine for Post-discharge Assessment of the Surgical Wound: International Cohort Study, and Systematic Review with Meta-analysis
Objective: This study aimed to determine whether remote wound reviews using telemedicine can be safely upscaled, and if standardised assessment tools are needed. Summary background data: Surgical site infection is the most common complication of surgery worldwide, and frequently occurs after hospital discharge. Evidence to support implementation of telemedicine during postoperative recovery will be an essential component of pandemic recovery. Methods: The primary outcome of this study was surgical site infection reported up to 30-days after surgery (SSI), comparing rates reported using telemedicine (telephone and/or video assessment) to those with in-person review. The first part of this study analysed primary data from an international cohort study of adult patients undergoing abdominal surgery who were discharged from hospital before 30-days after surgery. The second part combined this data with the results of a systematic review to perform a meta-analysis of all available data conducted in accordance with PRIMSA guidelines (PROSPERO:192596). Results: The cohort study included 15,358 patients from 66 countries (8069 high, 4448 middle, 1744 low income). Of these, 6907 (45.0%) were followed up using telemedicine. The SSI rate reported using telemedicine was slightly lower than with in-person follow-up (13.4% vs. 11.1%, P<0.001), which persisted after risk adjustment in a mixed-effects model (adjusted odds ratio: 0.73, 95% confidence interval 0.63-0.84, P<0.001). This association was consistent across sensitivity and subgroup analyses, including a propensity-score matched model. In nine eligible non-randomised studies identified, a pooled mean of 64% of patients underwent telemedicine follow-up. Upon meta-analysis, the SSI rate reported was lower with telemedicine (odds ratio: 0.67, 0.47-0.94) than in-person (reference) follow-up (I2=0.45, P=0.12), although there a high risk of bias in included studies. Conclusions: Use of telemedicine to assess the surgical wound post-discharge is feasible, but risks underreporting of SSI. Standardised tools for remote assessment of SSI must be evaluated and adopted as telemedicine is upscaled globally
Global warming and malaria: a call for accuracy
For more than a decade, malaria has held a prominent place in speculations on the impacts of global climate change. Mathematical models that “predict? increases in the geographic distribution of malaria vectors and the prevalence of the disease have received wide publicity. Efforts to put the issue into perspective1, 2, 3, 4 and 5 are rarely quoted and have had little influence on the political debate. The model proposed by Frank C Tanser and colleagues6 in The Lancet and the accompanying Commentary by Simon Hales and Alistair Woodward7 are typically misleading examples.The relation between climate and malaria transmission is complex and varies according to location,2 yet Tanser et al base their projections on thresholds derived from a mere 15 African locations. Slight adjustments of values assigned to such thresholds and rules can influence spatial predictions strongly.8 The authors invest considerable effort in assessing the sensitivity of their model to climate change scenarios but do not report the internal sensitivities to thresholds and rules. The predictive skill of their model is low (63% sensitivity, 95% CI 61–65%) but they consider projections acceptable if prevalence is projected “to within a month? (presumably +/- 1 month?), thereby biasing their model towards success. A model covering an entire year in a parasite-positive site would always be correct, although in such areas it would be relatively insensitive to climate. By contrast, sites in which transmission is seasonal would provide a more reliable test of accuracy, but estimation is more difficult because climate sensitivity is greater. Furthermore, because parasite clearance in communities is not instantaneous,9 spot samples of parasitaemia on survey dates are not a suitable indicator of the duration of the transmission season. Lastly, “person/months? are unsuitable as a measure of transmission: an extension of season from 1 to 4 months will have more impact than from 10 to 12 months. According to their model, an extension of transmission from 11 to 12 months results in 106 more person/months in a population of 106 people, whereas an extension from 1 to 5 months gives the same increase in a population of 250·000.What Tanser and colleagues have modelled is merely the duration of the transmission season, which they interpret as “heightened transmission? and increased incidence. A greater failing is their reliance on “parasite-ratio studies?. The relations between transmission season and parasite prevalence, and parasite prevalence and clinical disease, are unclear but unlikely to be linear. Moreover, they use 1995 data for human populations, although these are projected to double by 2030. In addition, the proportion living in urban areas—with a specific climate10 and orders of magnitude less malaria transmission11 and 12—is projected to rise from 37% to 53%.13 For all these reasons, we do not accept the model as a “baseline against which interventions can be planned?.It is regrettable that many involved in this debate ignore the rich heritage of literature on the subject. For example, in 1937, in his classic textbook,14 L W Hackett stated: “Everything about malaria is so moulded and altered by local conditions that it becomes a thousand different diseases and epidemiological puzzles. Like chess, it is played with a few pieces, but is capable of an infinite variety of situations?. A pressing question in Hackett's time was the changing distribution of the disease in Europe. On the role of climate, he wrote: “Certainly, climate lays down the broad lines of malaria distribution…Nevertheless, although this is a very simple and plausible explanation…even the early malariologists felt that there was something unsatisfactory about it…malaria has not so much receded as it has contracted, oftentimes toward the north…Thus in Germany it is the northern coast which is still malarious, the south is free…There is, therefore, no climatic reason why (malaria) should have abandoned south Germany or the French Riviera?.We quote Hackett because we feel that the classic components of science—unbiased observation and systematic experimentation—cannot be sidestepped with models that omit many of his chess pieces. Yet Hales and Woodward7 begin by stating: “The present geographical distribution of malaria is explained by a combination of environmental factors (especially climate) and social factors (such as disease-control measures)?. In our opinion, “even the early malariologists? would surely disagree: much of the decline of malaria in Europe took place without control measures during a period when the climate was warming.The text by Hales and Woodward that follows displays a lack of knowledge. Thus, “Most people at risk of malaria live in areas of stable transmission…? is simply wrong. It is true that in many parts of the world malaria is termed “stable? because transmission remains relatively constant from year to year, the disease is endemic, the collective immunity is high, and epidemics are uncommon. However, in many other regions, the disease is endemic but “unstable? because annual transmission varies considerably, and the potential for epidemics is great. Climatic factors, particularly rainfall, are sometimes, but by no means always, relevant.15Again, “On the fringes of endemic zones, where transmission is limited by rainfall…there are strong seasonal patterns, and occasional major epidemics? is also wrong. In many regions, far from any “fringes?, malaria is endemic, stable, but highly seasonal. For example, in semi-arid regions of Mali, transmission is restricted to the rainy season, from July to September. The same 3 months constituted the transmission season for Plasmodium falciparum in Italy before it was eliminated.16 Paradoxically, in parts of the Sudan, rainfall is restricted to a month at most, but malaria is transmitted throughout the year. Female Anopheles gambiae survive drought and heat by resting in dwellings and other sheltered places.17 Blood feeding and transmission continue, but the mosquitoes do not develop eggs until the rains return. This phenomenon, termed gonotrophic dissociation, is remarkably similar to the winter survival strategy of Anopheles atroparvus, the principal vector of malaria in Holland until the mid 20th century.16By contrast, malaria is unstable in many regions that normally have abundant rainfall, and epidemics occur during periods of drought. An illustrative example is the catastrophic 1934–35 epidemic in Ceylon (now Sri Lanka), estimated to have killed 100·000 people.18 Worst hit was the south-western quadrant of the country, where average annual rainfall is greater than 250 cm, and malaria was endemic, but unstable and relatively infrequent. The dominant vector, Anopheles culicifacies, breeds along the banks of rivers and tends to be scarce in normal years. In the years 1928–33 there was abundant rainfall, river flow was high, A culicifacies was rare, and the human population was exceptionally malaria-free. However, after failure of two successive monsoons, the drying rivers produced colossal numbers of A culicifacies, and the resulting epidemic was exacerbated by the low collective immunity. In the drier parts of the island, where A culicifacies was dominant but transmission was more stable, immunity protected the population from the worst ravages of the disease.Hales and Woodward state that “the underlying problem? of the future “extension of seasonality? of malaria is “pollution of the atmosphere?, and call for rich countries to “recognise their obligations to the poorest by substantially reducing fossil-fuel consumption?. We understand public anxiety about climate change, but are concerned that many of these much-publicised predictions are ill informed and misleading. We urge those involved to pay closer attention to the complexities of this challenging subject. <br/
Exploring the cost-effectiveness of high versus low perioperative fraction of inspired oxygen in the prevention of surgical site infections among abdominal surgery patients in three low- and middle-income countries
Surgical site infection after gastrointestinal surgery in children: An international, multicentre, prospective cohort study
Surgical site infection (SSI) is one of the most common healthcare-associated infections (HAIs). However, there is a lack of data available about SSI in children worldwide, especially from low-income and middle-income countries. This study aimed to estimate the incidence of SSI in children and associations between SSI and morbidity across human development settings
Efecto del uso de prebiótico y probióticos en la resistencia bacteriana de escherichia coli spp y klebsiella spp en ponedoras hy line brown
El uso de aditivos prebióticos, probióticos y simbióticos han sido de gran interés debido al aumento de restricción de los promotores de crecimiento causado por la resistencia bacteriana obtenida en los últimos años. Se realizará un estudio en 240 gallinas ponedoras Hy Line Brown, El diseño será completamente al azar (CRD, complete randomized design). Se distribuirán de manera aleatorizada 8 grupos, cada uno con 10 repeticiones donde se sustituirá antibióticos promotores de crecimiento en la dieta por diferentes niveles de prebióticos en combinación con probióticos. Se les otorgara 110g diariamente de alimento con los siguientes aditivos VitaCAN, Poultrystar, Vitasym DFM y Enramicina 8% con diferentes unidades de inclusión y combinación obtenido 8 tratamientos donde se tomaran muestras del contenido intestinal y se llevaran al laboratorio de microbiología para realizar cultivos y antibiograma a razón de analizar el crecimiento y resistencia bacteriano Escherichia coli spp y klebsiella spp en las gallinas ponedoras; los resultados obtenidos en el estudio arrojan que la Dieta H (Oligosaccharides y Bacillus subtilis) presento el menor porcentaje de crecimiento del 10% Klebsiella spp y no presento crecimiento de Escherichia coli spp por otra parte los antibióticos con mayor resistencia para las bacterias analizadas en el estudio fueron la ampicilina sulbactam y las tetraciclinas, finalmente el uso de prebióticos, probióticos y simbióticos nos permite obtener mejores resultados en la inmunidad de los animales igualmente nos permite no utilizar promotores de crecimiento en las producciones avícolas teniendo en cuenta que se obtiene mejores resultados y contribuimos a disminuir la resistencia bacteriana.The use of prebiotic, probiotic and synbiotics additives has been of great interest due to the increase in restriction of growth promoters caused by bacterial resistance obtained in recent years. A study will be carried out on 240 Hy Line Brown laying hens. The design will be completely randomized (CRD). 8 groups will be randomly distributed, each with 10 repetitions where growth-promoting antibiotics in the diet will be replaced by different levels of prebiotics in combination with probiotics. They will be given 110g of food daily with the following additives VitaCAN, Poultrystar, Vitasym DFM and Enramycin 8% with different inclusion and combination units, obtaining 8 treatments where samples of the intestinal contents will be taken and taken to the microbiology laboratory to perform cultures and antibiogram. by analyzing the bacterial growth and resistance Escherichia coli spp and klebsiella spp in laying hens; The results obtained in the study show that Diet H (Oligosaccharides and Bacillus subtilis) presented the lowest percentage of growth of 10% Klebsiella spp and did not present growth of Escherichia coli spp, on the other hand, the antibiotics with the greatest resistance to the bacteria analyzed in the study. study was ampicillin sulbactam and tetracyclines, finally the use of prebiotics, probiotics and synbiotics allows us to obtain better results in the immunity of animals, it also allows us not to use growth promoters in poultry production taking into account that better results are obtained and We contribute to reducing bacterial [email protected]
Use of Telemedicine for Postdischarge Assessment of the Surgical Wound: International Cohort Study, and Systematic Review With Meta-analysis
Objective:
This study aimed to determine whether remote wound reviews using telemedicine can be safely upscaled, and if standardized assessment tools are needed.
//
Background:
Surgical site infection (SSI) is the most common complication of surgery worldwide, and frequently occurs after hospital discharge. Evidence to support implementation of telemedicine during postoperative recovery will be an essential component of pandemic recovery.
//
Methods:
The primary outcome of this study was SSI reported up to 30 days after surgery (SSI), comparing rates reported using telemedicine (telephone and/or video assessment) to those with in-person review. The first part of this study analyzed primary data from an international cohort study of adult patients undergoing abdominal surgery who were discharged from hospital before 30 days after surgery. The second part combined this data with the results of a systematic review to perform a meta-analysis of all available data conducted in accordance with PRIMSA guidelines (PROSPERO:192596).
//
Results:
The cohort study included 15,358 patients from 66 countries (8069 high, 4448 middle, 1744 low income). Of these, 6907 (45.0%) were followed up using telemedicine. The SSI rate reported using telemedicine was slightly lower than with in-person follow-up (13.4% vs 11.1%, P<0.001), which persisted after risk adjustment in a mixed-effects model (adjusted odds ratio: 0.73, 95% confidence interval: 0.63–0.84, P<0.001). This association was consistent across sensitivity and subgroup analyses, including a propensity-score matched model. In 9 eligible nonrandomized studies identified, a pooled mean of 64% of patients underwent telemedicine follow-up. Upon meta-analysis, the SSI rate reported was lower with telemedicine (odds ratio: 0.67, 0.47–0.94) than in-person (reference) follow-up (I2=0.45, P=0.12), although there a high risk of bias in included studies.
//
Conclusions:
Use of telemedicine to assess the surgical wound postdischarge is feasible, but risks underreporting of SSI. Standardized tools for remote assessment of SSI must be evaluated and adopted as telemedicine is upscaled globally
