Low Bone Mineral Density, Renal Dysfunction, and Fracture Risk in HIV Infection: A Cross-Sectional Study

BackgroundReduced bone mineral density (BMD) is common in adults infected with human immunodeficiency virus (HIV). The role of proximal renal tubular dysfunction (PRTD) and alterations in bone metabolism in HIV-related low BMD are incompletely understood MethodsWe quantified BMD (dual-energy x-ray absorptiometry), blood and urinary markers of bone metabolism and renal function, and risk factors for low BMD (hip or spine T score, −1 or less) in an ambulatory care setting. We determined factors associated with low BMD and calculated 10-year fracture risks using the World Health Organization FRAX equation ResultsWe studied 153 adults (98% men; median age, 48 years; median body mass index, 24.5; 67 [44%] were receiving tenofovir, 81 [53%] were receiving a boosted protease inhibitor [PI]). Sixty-five participants (42%) had low BMD, and 11 (7%) had PRTD. PI therapy was associated with low BMD in multivariable analysis (odds ratio, 2.69; 95% confidence interval, 1.09-6.63). Tenofovir use was associated with increased osteoblast and osteoclast activity (P⩽.002). The mean estimated 10-year risks were 1.2% for hip fracture and 5.4% for any major osteoporotic fracture ConclusionsIn this mostly male population, low BMD was significantly associated with PI therapy. Tenofovir recipients showed evidence of increased bone turnover. Measurement of BMD and estimation of fracture risk may be warranted in treated HIV-infected adult

Infrequent Replication of Parvovirus B19 and Erythrovirus Genotypes 2 and 3 among HIV-Infected Patients with Chronic Anemia

We investigated the role that erythroviruses (parvovirus B19 and erythrovirus genotypes 2 and 3) play in the lives of immunosuppressed HIV-infected patients with chronic anemia. We screened the serum samples of 428 patients by specific ultrasensitive real-time polymerase chain reaction assay. Sixteen patients had circulating DNA, with no apparent clinical impact. Erythrovirus-associated anemia is an extremely rare event in HIV-infected patient

Decrease of physical activity level in adolescents with limb fractures: an accelerometry-based activity monitor study

<p>Abstract</p> <p>Background</p> <p>Immobilization and associated periods of inactivity can cause osteopenia, the physiological response of the bone to disuse. Mechanical loading plays an essential role in maintaining bone integrity. Skeletal fractures represent one cause of reduction of the physical activity (PA) level in adolescents. The purpose of this study was to quantify the reduction of PA in adolescents with limb fractures during the cast immobilization period compared with healthy controls.</p> <p>Methods</p> <p>Two hundred twenty adolescents were divided into three groups: those with upper limb fractures (50 cases); lower limb fractures (50 cases); and healthy cases (120 cases). Patients and their healthy peers were matched for gender, age, and seasonal assessment of PA. PA level was assessed during cast immobilization by accelerometer. Time spent in PA in each of the different intensity levels - sedentary, light, moderate, and vigorous - was determined for each participant and expressed in minutes and as a percentage of total valid time.</p> <p>Results</p> <p>Reduction in PA during cast immobilization was statistically significant in patients with limb fractures compared to healthy controls. The total PA count (total number of counts/min) was significantly lower in those with upper and lower limb fractures (-30.1% and -62.4%, respectively) compared with healthy controls (p < 0.0001 and p = 0.0003, respectively). Time spent in moderate-to-vigorous PA by patients with upper and lower limb injuries decreased by 36.9% (<it>p </it>= 0.0003) and 76.6% (<it>p </it>< 0.0001), respectively, and vigorous PA was reduced by 41.4% (<it>p </it>= 0.0008) and 84.4% (<it>p </it>< 0.0001), respectively.</p> <p>Conclusions</p> <p>PA measured by accelerometer is a useful and valid tool to assess the decrease of PA level in adolescents with limb fractures. As cast immobilization and reduced PA are known to induce bone mineral loss, this study provides important information to quantify the decrease of skeletal loading in this patient population. The observed reduction of high intensity skeletal loading due to the decrease in vigorous PA may explain osteopenia due to disuse, and these data should be kept in mind by trauma practitioners to avoid any unnecessary prolongation of the cast immobilization period.</p

Contribution à la modélisation des durées de séjour du CHU de Grenoble

This thesis provides a methodology to identify diagnosis related groups (DRG) from Grenoble University Hospital which have a length of stay (LOS) longer than the national reference LOS, and also to identify outliers (patients with extreme length of stay) in these groups. Long LOS are critical because the hospital's rooms tend to be used too much, compared to what the financial score (value) of the corresponding DRG (pathology) would allow. It is therefore important to identify the groups that are responsible for high costs in terms of Indice Synthétique d'Activité (ISA) point. The ISA point is a unit used in the French national program settled to medicalize the information system in hospitals with the aim of optimizing hospital efficiency by measuring their activity and determining the corresponding budget to provide them with (french Prospective Payment System). We compared the differences between the length of stays distribution for the DRG in Grenoble and the LOS distribution for the corresponding DRG in the national database. For each DRG we built a profile by comparing the quartiles of the two distributions. We used statistical classification methods, such as Principal Components Analysis, Hierarchical Clustering, Discriminant Analysis and mixtures models, to identify the groups with highest costs. Empirically 9 different profile types seem to be distinguished. Hierarchical clustering methods identified a classification of DRG in 4 groups. One of them (16 DRG's) counted one third of patients who were highly responsible for costly ISA points, and for which an efficient economical action could be easily undertaken. The mixture models distinguished 3 groups of DRG, and validated the classification derived from the Hierarchical Clustering Method.Cette thèse propose une méthodologie permettant l'identification des groupes homogènes de malades (GHM) du Centre Hospitalier Universitaire (CHU) de Grenoble dont la durée de séjour (DS) s'écarte de la "référence nationale", mais aussi d'identifier la présence d'éventuels groupes d'"outliers" (patients avec des DS extrêmes) dans ces GHM. L'enjeu est de taille : des séjours longs entraînent une occupation des lits supérieure à ce que permet la valorisation financière correspondant à la pathologie prise en charge. Il est donc important de repérer ces GHM, responsables du coût élevé du point Indice Synthétique d'Activité (ISA), unité d'oeuvre des hôpitaux utilisée par le Programme de Médicalisation des Systèmes d'Information pour connaître leur activité, leur allouer le budget correspondant, et contraindre à une productivité optimale. Les écarts entre la distribution des DS des GHM grenoblois et celle de leurs homologues de la base nationale ont été comparés. Pour chaque GHM, un profil, fondé sur la comparaison des quartiles de DS des distributions nationales et grenobloises, deux à deux, a été construit. Des méthodes statistiques de classification (analyse en composantes principales, classification hiérarchique, analyse discriminante et modèles de mélange) ont été utilisées pour repérer aisément et sûrement les GHM économiquement coûteux. De manière empirique, les profils grenoblois semblent se structurer en 9 catégories. La classification hiérarchique identifie 4 catégories de GHM, dont une particulière comptant 16 GHM, dans laquelle un tiers des patients participe fortement à la dérive en points ISA du CHU, et pour qui la mise en place d'une action économiquement rentable serait aisée. Le modèle de mélange montre que les GHM se structurent en 3 catégories et permet de valider la classification issue de l'approche multidimensionnelle

Contribution à la modélisation des durées de séjour du CHU de Grenoble

Cette thèse propose une méthodologie permettant l'identification des groupes homogènes de malades (GHM) du Centre Hospitalier Universitaire (CHU) de Grenoble dont la durée de séjour (DS) s'écarte de la "référence nationale", mais aussi d'identifier la présence d'éventuels groupes d'"outliers" (patients avec des DS extrêmes) dans ces GHM. L'enjeu est de taille : des séjours longs entrainent une occupation des lits supérieure à ce que permet la valorisation financière correspondant à la pathologie prise en charge. Il est donc important de repérer ces GHM, responsables du coût élevé du point Indice Synthétique d' Activité (ISA), unité d'oeuvre des hôpitaux utilisée par le Programme de Médicalisation des Systèmes d'Information pour connaître leur activité, leur allouer le budget correspondant, et contraindre à une productivité optimale. Les écarts entre la distribution des DS des GHM grenoblois et celle de leurs homologues de la base nationale ont été comparés. Pour chaque GHM, un profil, fondé sur la comparaison des quartiles de DS des distributions nationales et grenobloises, deux à deux, a été construit. Des méthodes statistiques de classification (analyse en composantes principales, classification hiérarchique, analyse discriminante et modèles de mélange) ont été utilisée pour repérer aisément et sûrement les GHM économiquement coûteux. De manière empirique, les profils grenoblois semblent se structurer en 9 catégories. La classification hiérarchique identifie 4 catégories de GHM, dont une particulière comptant 16 GHM, dans laquelle un tiers des patients participe fortement à la dérive n points ISA du CHU, et pour qui la mise en place d'une action économiquement rentable serait aisée. Le modèle de mélange montre que les GHM se structurent en 3 catégories et permet de valider la classification issue de l'approche multidimensionnelle.This thesis provides a methodology to identify diagnosis related groups (DRG) from Grenoble University Hospital which have a length of stay (LOS) longer than the national reference LOS and also to identify outliers (patients with extreme length of stay) in these groups. Long LOS are critical because the hospital's rooms tend to be used too much, compared to what the financial score (value) of the corresponding DRG (pathology) would allow. It is therefore important to identify the groups that are responsible for high costs in terms of Indice Synthétique d'Activité (ISA) point. The ISA point is a unit used in the French national program settled to medicalize the information system in hospitals with the aim of optimizing hospital efficiency by measuring their activity and determining the corresponding budget to provide them with (french Prospective Payment System). We compared the differences between the length of stays distribution for the DRG in Grenoble and the LOS distribution for the corresponding DRG in the national database. For each DRG we built a profile by comparing the quartiles of the two distributions. We used statistical classification methods, such as Principal Components Analysis, Hierarchical Clustering, Discriminant Analysis and mixtures models, to identify the groups with highest costs. Empirically 9 different profile types seem to be distinguished. Hierarchical clustering methods identified a classification of DRG in 4 groups. One of them (16 DRG's) counted one third of patients who were highly responsible for costly ISA points and for which an efficient economical action could be easily undertaken. The mixture models distinguished 3 groups of DRG, and validated the classification derived from the Hierarchical Clustering Method.GRENOBLE1-BU Médecine pharm. (385162101) / SudocGRENOBLE-MI2S (384212302) / SudocSudocFranceF

Is acute idiopathic pericarditis associated with recent upper respiratory tract infection or gastroenteritis? A case–control study

OBJECTIVES: The aim of this study was to assess the association of a clinical diagnosis of acute idiopathic pericarditis (AIP), and a reported upper respiratory tract infection (URTI) or gastroenteritis (GE) in the preceding month. DESIGN: Patients who were hospitalised with a first diagnosis of AIP were retrospectively compared with a control group of patients admitted with deep vein thrombosis (DVT), matched by gender and age. SETTING: Primary and secondary care level; one hospital serving a population of about 170 000. PARTICIPANTS: A total of 51 patients with AIP were included, of whom 46 could be matched with 46 patients with control DVT. Only patients with a complete review of systems on the admission note were included in the study. MAIN OUTCOME MEASURE: Conditional logistic regression was used to assess the association of a clinical diagnosis of AIP and an infectious episode (URTI or GE) in the month preceding AIP diagnosis. RESULTS: Patients with AIP had more often experienced a recent episode of URTI or GE than patients with DVT (39.1% vs 10.9%, p=0.002). The multivariate conditional regression showed that AIP was independently associated with URTI or GE in the last month preceding diagnosis (OR=37.18, 95% CI=1.91 to 724.98, p=0.017). CONCLUSIONS: This is, to the best of our knowledge, the first study demonstrating an association between a recent episode of URTI or GE and a clinical diagnosis of AIP

Bilateral and gender differences during single-legged vertical jump performance in healthy teenagers

The determination of physiologic lower limb functional imbalance among healthy teenagers is important to follow the rehabilitation progress and return to normal activity of injured subjects. We investigated the differences in vertical jump capacity between both legs in a group of healthy boys and girls, considering the performances in the dominant vs. non-dominant, and in the most vs. least efficient leg. Strength and power performances were compared in 117 boys and 106 girls aged 10-16 years during a single-leg vertical countermovement jump (SLVCJ) test. When leg dominance was defined subjectively by the participant, no difference was noted between the 2 legs. Statistically significant differences were recorded between the most and less efficient leg in strength and power performances for both genders. Girls had significantly greater peak strength than did age-matched boys, but boys showed significant increases in maximal power outputs compared with that shown by age-matched girls. When the results were analyzed according to the percentage of participants falling within certain bands of limb asymmetry, approximately 20-30% showed a difference of >15% between the 2 limbs without any relation to gender. Subjective expression of leg dominance cannot be used as a predictor of SLVCJ performance. Differences of <15% in SLVCJ performance between both legs should be considered as the physiological norm in this age group. A greater appreciation of the potential diagnostic value of the SLVCJ test may be obtained if the results are interpreted in terms of the percentage of subjects falling within certain bands of limb asymmetry. Gender-based differences in the SLVCJ test vary and depend upon whether the results are interpreted in terms of strength or power output