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Symptomatic Urinary Lithiasis: Epidemiology and Management at Urology Department of University Hospital of Cotonou  [PDF]
Prince Pascal Hounnasso, Josué Dejinnin Georges Avakoudjo, Abdoul Karim Paré, Kirakoya Brahima, Adama Ouattara, Michel Michael Agounkpé, Gilles Natchagandé, Sanni Rafiou Toré, Abubakar Babagana Mustapha, Alexandre Vodounou
Open Journal of Urology (OJU) , 2015, DOI: 10.4236/oju.2015.52002
Abstract: Purpose: To study the epidemiology and treatment modalities of urolithiasis at Urology Department of University Hospital of Cotonou. Materials and Methods: It was a retrospective and descriptive study over a 10 years period ranging from January 1st, 2004 to December 31st, 2013. One hundred and two patients who were hospitalized for symptomatic urolithiasis at the Urology Department of University Hospital of Cotonou were enrolled. Results: Hospital incidence of urolithiasis was 3.7%. Patients mean age was 39.6 years (extremes: 10 years to 73 years). Male to female ratio was 2.2. The main reason for consultation was renal colic for 81 patients (79.4%). Average duration of symptoms at presentation was 5 months (range: 1 day to 10 years). A total of 173 stones were identified with an average size of 12 mm (range: 1 mm to 95 mm). Calyceal stones were seen in 32.9% of cases, renal pelvis stones in 21.4% of cases, ureteral stones in 34.1% and bladder stones in 11.5% of cases. Open surgery was the main treatment for stones that could not be managed medically. 50.8% of patients underwent surgery with extraction of 116 stones. This represented 67.1% of all stones. 9 patients (8.8%) had expelled their stone during urination. The postoperative course was uneventful in 77.5% of cases. Conclusion: Modern treatment options for urolithiasis remain rudimentary in our health facilities. Open surgery is still the main stay of treatment in our countries with limited resources.
About 4 Cases Report of Giant Hydronephrosis Inurology Department of the National University Healthcare, CNHU HKM of Cotonou  [PDF]
Dodji Magloire Inès Yevi, Christian Henry Renaud Hounnasso, Gilles Natchagandé, Dejennin Georges Josué Avakoudjo, Michel Micha?l Agounkpé, Jean Sossa, Fred Hodonou, Prince-Pascal Hounnasso
Open Journal of Urology (OJU) , 2018, DOI: 10.4236/oju.2018.84013
Abstract: The authors report 4 different cases of giant hydronephrosis in the urology department of the national university healthcare, CNHU HKM of Cotonou. The frequency of the items, the etiologies and the different treatments carried out were elucidated. The patients were all females. The hydronephrosis affected the left kidney. The most frequent etiology was pyelouretral junction syndrome seconded by obstructive nephrolithiasis in the upper urinary tract. One of the last etiologies was lower pole vascular plexus. Three nephrectomies and one K?SS-HEYNES-ANDERSON pyeloplasty were carried out. Conclusion: Giant hydronephrosis is a rare condition. The etiologies were organic-based and malformed. The therapeutic attitude adopted shows the interest of an antenatal diagnosis for early care.
Epidemiological Aspects of Female Urological Diseases, at the National University Teaching Hospital H. K. Maga of Cotonou from 2008 to 2017  [PDF]
Dodji Magloire Inès Yevi, Josué Dejennin Georges Avakoudjo, Dètondji Fred Jean-Martin Hodonou, Yves Nsounfou Ngapna, Jean Sossa, Gilles Natchagandé, Fouad Kolawolé Yde Soumanou, Michel Micha?l Agounkpé
Open Journal of Urology (OJU) , 2018, DOI: 10.4236/oju.2018.810032
Abstract: Most urological conditions are represented by male disorders. Analyzing certain epidemiological aspects of female urological disorders at the National University Teaching Hospital of Cotnou, will allow us objectively to have reliable data to optimize the urological management of women. Patients and Methods: This was a retrospective, analytical and descriptive study that was conducted at the CNHU-HKM over a 10-year period from January 2008 to December 2017 on the epidemiological aspects of female urological diseases from the study of patient records. The variable studied was: the age, the profession, the year of admission, the organ affected, and the type of pathology. The confidentiality of the data has been ensured. Results: Female urological disorders over 10 years accounted for 9.62% of all patients received in Urology Department. The age group greater than 50 years was the most common at 31.34%. Traders and housewives were the most numerous (39.93% and 14.55%). Bladder diseases were the most frequent (51.50), dominated by vesico-vaginal fistulas (29.85%). In addition to fistulas, tumoral affections were most prevalent at 27.99% followed by infectious diseases at 8.21%. The lithiasic affections were infrequent at 6.72%. Conclusion: Female urological conditions are infrequent but not negligible, dominated by vesico-vaginal fistulas and tumors in the context of developing countries. The specific evaluation of each pathology group can help optimize management.
Equilibrium Allele Distribution in Trading Populations  [PDF]
Gilles Saint-Paul
Natural Science (NS) , 2015, DOI: 10.4236/ns.2015.73012
Abstract: This paper extends the results of Saint-Paul (2007) regarding the long-run survival rates of alleles in trading populations, to a more general context where the number of loci is arbitrarily large under general assumptions about sexual reproduction. The central result is that fitness-reducing alleles can survive in a trading population, provided their frequency is not too large. However, the greater the number of loci that matter for fitness, the more stringent the conditions under which these alleles can survive.
éditorial : Monitoring pour le stockage du CO2 et la production des hydrocarbures Editorial: Monitoring of CO2 Sequestration and Hydrocarbon Production
Kimmerlin Gilles,Munier Gilles
Oil & Gas Science and Technology , 2012, DOI: 10.2516/ogst/2011178
Invariant Relative Orbits Taking into Account Third-Body Perturbation  [PDF]
Walid Ali Rahoma, Gilles Metris
Applied Mathematics (AM) , 2012, DOI: 10.4236/am.2012.32018
Abstract: For a satellite in an orbit of more than 1600 km in altitude, the effects of Sun and Moon on the orbit can’t be negligible. Working with mean orbital elements, the secular drift of the longitude of the ascending node and the sum of the argu-ment of perigee and mean anomaly are set equal between two neighboring orbits to negate the separation over time due to the potential of the Earth and the third body effect. The expressions for the second order conditions that guaran-tee that the drift rates of two neighboring orbits are equal on the average are derived. To this end, the Hamiltonian was developed. The expressions for the non-vanishing time rate of change of canonical elements are obtained.
Modeling longitudinal data in acute illness
Gilles Clermont
Critical Care , 2007, DOI: 10.1186/cc5968
Abstract: Critical care physicians titrate care of individual patients based on presumed diagnosis derived from available data and anticipated progression of disease. The problem of sepsis in the intensive care unit has proven particularly vexing because both components of the decision-making process are insufficiently characterized. The problem is compounded by the fact that interventions in severely septic patients are time critical, the data are complex, and there is at least theoretical potential for harming patients with immuno-modulation of the host response to an infectious challenge.In the previous issue of Critical Care, Kyr and coworkers [1] introduce a sophisticated statistical technique for modeling longitudinal data. Given baseline values of serum C-reactive protein (CRP) and patient characteristics, the models presented have the ability to predict future levels of CRP, across diagnostic categories and patient characteristics. The authors recognize their work to be exploratory, and limited by the small size of the cohort, lack of a validation group, and inability to include predictors in the models that could significantly enhance the applicability of the predictions to more refined subgroups or individual patients. However, the work is relevant to critical illness.The critical care community's best effort to address sepsis is crystallized in the recommendations of the Surviving Sepsis campaign [2]. Despite conflicting reports on the efficacy of immunomodulation in sepsis, there is a prevailing view that future, decisive improvement in outcomes will result from targeted, biomarker-guided immunomodulation [3,4]. However, how the targeting should be achieved and how biomarker profiles should be interpreted remain open fields of inquiry. In this regard, the development of data-driven models that 'explain' the dynamics of markers of septic physiology may prove useful.There are, however, two caveats. First, in view of observed variability between patients, how confide
Artificial neural networks as prediction tools in the critically ill
Gilles Clermont
Critical Care , 2004, DOI: 10.1186/cc3507
Abstract: The science of outcome prediction is particularly useful in the setting of the emergency room – the entry point of many to acute care. In this issue of Critical Care Jaimes and coworkers [1] evaluate the usefulness of artificial neural networks (ANNs) in predicting hospital mortality in patients presenting to the emergency room with suspected sepsis. The construction of a prediction tool is a difficult undertaking; it requires careful methodological consideration and validation before the predictions can be deemed valid and reliable in na?ve patients [2,3]. These tools identify the presence of associations between the outcome of interest and empiric risk factors that contribute to this outcome. A well designed tool will typically possess three qualities: discrimination (the ability to identify accurately those patients who will reach the outcome from those who will not), goodness of fit (the ability to match accurately predicted and actual outcomes, such as mortality rate, in subgroups of patients), and the ability to achieve these predictions in cohorts of patients similar to those in which the tool was developed [4,5].Most predictive tool use logistic regression – a well vetted statistical technique that is applicable to situations in which the outcome is binary (e.g. survival/death), measured at a predetermined time in the future [6]. The technique can precisely quantify the relative contribution of each risk factor to outcome, typically crystallized as the odds ratio (i.e. the relative odds that a patient with the risk factor has of reaching the outcome as compared with a patient without the risk factor). ANNs represent an alternative technique for achieving predictions. The key difference between the two techniques is that the contribution of each risk factor is not as rigidly dictated with ANNs as it is in a logistic regression model. ANNs can improve predictions by extracting information drawn from unforeseen interactions between predictors. Arguably, if a mo
Impact of obesity on glucose and lipid profiles in adolescents at different age groups in relation to adulthood
Gilles Plourde
BMC Family Practice , 2002, DOI: 10.1186/1471-2296-3-18
Abstract: For the first study, data analyses were from a case-control study of adolescents classified according to their BMI; a BMI ≥ 85th percentile for age and sex as overweight, and those with a BMI ≥ 95th percentile as obese. Subjects with a BMI < 85th percentile were classified as controls. WC:AC ratio of waist circumference to arm circumference was used as an indicator of a central pattern of adiposity. Two other indices of central adiposity were calculated from skinfolds: Central-peripheral (CPR) as subscapular skinfold + suprailliac skinfold)/ (triceps skinfold + thigh skinfold) and ratio of subscapular to triceps skinfold (STR). The sum of the four skinfolds (SUM) was calculated from triceps, subscapular, suprailliac and thigh skinfolds. SUM provides a single measure of subcutaneous adiposity. Representative adult subjects were used for comparison. Glucose and lipid profiles were also determined in these subjects. Abnormal glucose and lipid profiles were determined as being those with fasting glucose ≥ 6.1 mmol/l and lipid values ≥ 85th percentile adjusted for age and sex, respectively. Prevalence and odds ratio analysis were used to determine the impact of obesity on glucose and lipid profiles at each Tanner stages for both sexes. Correlation coefficient analyses were used to determine the association between glucose and lipid profiles and anthropometric measurements for both sexes. The second study evaluated in a retrospective-prospective longitudinal way if: 1) obesity in adolescence is associated with obesity in adulthood and 2) the nature of obesity-associated risk factors. Incidence and odds ratio analysis were used to determine the impact of obesity on glucose and lipid profiles at 7 different age groups from 9 to 38 years old in both sexes between 1974 to 2000.Overall, glucose and lipid profiles were significantly (P < 0.01) associated with all anthropometric measurements either in male and female adolescents. WC:AC, CPR, STR and SUM are stronger predictors o
Implica??o, sobreimplica??o e implica??o profissional
Monceau, Gilles;
Fractal : Revista de Psicologia , 2008, DOI: 10.1590/S1984-02922008000100007
Abstract: this article debates one of the basic concepts of institutional analysis: implication. for that purpose, brings two other concepts that stem from it: over implication and professional implication. both rather important for the implications analyses process. pointing out that implication analyses is a collective work, the text board the devices that those analyses can construct. bringing examples of different spaces, in the school, in the university, in the hospital, it is analysed the tendency to give a universitarian form to the professions, when professionals are called to work their practical difficulties, doing it through the discourse, as used in the universities, as if the discursive analyses of the practice allowed the evolution of their practice.
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