Comparison of different prognostic scores in estimating short- and long-term mortality in COVID-19 patients above 60 years old in a university hospital in Belgium.

BACKGROUND AND OBJECTIVES: Multiple scoring systems were used for risk stratification in COVID-19 patients. The objective was to determine among 6 scores which performed the best in predicting short-and long-term mortality in hospitalized COVID-19 patients ≥ 60 years. METHODS: An observational, retrospective cohort study conducted between 21/10/2020 and 20/01/2021. 6 scores were calculated (Clinical Frailty Scale (CFS), Charlson Comorbidity Index (CCI), 4C Mortality Score (4CMS), NEWS score (NEWS), quick-SOFA score (qSOFA), and Quick COVID-19 Severity Index (qCSI)). We included unvaccinated hospitalized patients with COVID-19 ≥ 60 years old in Brugmann hospital, detected by PCR and/or suggestive CT thorax images. Old and nosocomial infections, and patients admitted immediately at the intensive care unit were excluded. RESULTS: 199 patients were included, mean age was 76.2 years (60-99). 47.2% were female. 56 patients (28%) died within 1 year after the first day of hospitalization. The 4CMS predicted the best intrahospital, 30 days and 6 months mortality, with area under the ROC curve (AUROC) 0.695 (0.58-0.81), 0.76 (0.65-0.86) and 0.72 (0.63-0.82) respectively. The CCI came right after with respectively AUROC of 0.69 (0.59-0.79), 0.74 (0.65-0.83) and 0.71 (0.64-0.8). To predict mortality at 12 months after hospitalization, the CCI had the highest AUROC with 0.77 (0.69-0.85), before the 4CMS with 0.69 (0.60-0.79). DISCUSSION: Among 6 scores, the 4CMS was the best to predict intrahospital, 30-day and 6-month mortality. To predict mortality at 12 months, CCI had the best performance before 4CMS. This reflects the importance of considering comorbidities for short- and long-term mortality after COVID 19. REGISTRATION: This study was approved by the ethical committee of Brugmann University Hospital (reference CE 2020/228).

Selection for treatment of patients at high risk of fracture by the short versus long term prediction models - data from the Belgian FRISBEE cohort.

Our imminent model was less sensitive but more selective than FRAX® in the choice of treatment to prevent imminent fractures. This new model decreased NNT by 30%, which could reduce the treatment costs. In the Belgian FRISBEE cohort, the effect of recency further decreased the selectivity of FRAX®. PURPOSE: We analyzed the selection for treatment of patients at high risk of fracture by the Belgian FRISBEE imminent model and the FRAX® tool. METHODS: We identified in the FRISBEE cohort subjects who sustained an incident MOF (mean age 76.5 ± 6.8 years). We calculated their estimated 10-year risk of fracture using FRAX® before and after adjustment for recency and the 2-year probability of fracture using the FRISBEE model. RESULTS: After 6.8 years of follow-up, we validated 480 incident and 54 imminent MOFs. Of the subjects who had an imminent fracture, 94.0% had a fracture risk estimated above 20% by the FRAX® before correction for recency and 98.1% after adjustment, with a specificity of 20.2% and 5.9%, respectively. The sensitivity and specificity of the FRISBEE model at 2 years were 72.2% and 55.4%, respectively, for a threshold of 10%. For these thresholds, 47.3% of the patients were identified at high risk in both models before the correction, and 17.2% of them had an imminent MOF. The adjustment for recency did not change this selection. Before the correction, 34.2% of patients were selected for treatment by FRAX® only, and 18.8% would have had an imminent MOF. This percentage increased to 47% after the adjustment for recency, but only 6% of those would suffer a MOF within 2 years. CONCLUSION: In our Belgian FRISBEE cohort, the imminent model was less sensitive but more selective in the selection of subjects in whom an imminent fracture should be prevented, resulting in a lower NNT. The correction for recency in this elderly population further decreased the selectivity of FRAX®. These data should be validated in additional cohorts before using them in everyday practice.

The effect of fracture recency on observed 5-year fracture probability: A study based on the FRISBEE cohort.

Introduction: Prediction models, especially the FRAX®, are largely used to estimate the fracture risk at ten years, but the current algorithm does not take into account the time elapsed after a fracture. Kanis et al. recently proposed correction factors allowing to adjust the FRAX® score for fracture recency. The objective of this work was to analyze the effect of fracture recency in the FRISBEE cohort. Methods: We identified in the FRISBEE cohort subjects who sustained a validated fracture during the first 5 years following an incident MOF. We calculated their estimated 5-year risk of fracture using FRAX® uncorrected, adjusted for recency and further adjusted for the MOF/hip ratios calibration factors previously derived for the Belgian FRAX®. We compared the fracture risk estimated by FRAX® before and after these corrections to the observed incidence of validated fractures in our cohort. Results: In our ongoing cohort, 376 subjects had a first non-traumatic incident validated MOF after inclusion; 81 had a secondary fracture during the 5 years follow-up period after this index fracture. The FRAX® score significantly under-evaluated the observed incidence of fractures in our cohort by 54.7 % (fracture rate of 9.7 %; 95 % CI, 6.8-12.9 %) if uncorrected (p < 0.001) and by 32.6 % after correction for recency (14.5 %; 95 % CI, 11.1-18.2 %) (p = 0.01). The calibration for MOF/hip ratios improved the prediction (17.5 %; 95 % CI: 13.7-21.4 %) (p = 0.2). After correcting for recency and for calibration, the predicted value was over-evaluated by 22 % (fracture rate of 26.1 %; 95 % CI, 21.6-30.5 %) but this over-evaluation was not significant (p = 0.1). Conclusion: Our data indicate that the correction of the FRAX® score for fracture recency improves fracture prediction. However, correction for calibration and recency tends to overestimate fracture risk in this population of elderly women.

Are there specific clinical risk factors for the occurrence of multiple fractures? The FRISBEE study.

This study showed additional clinical risk factors for the occurrence of multiple fractures with regards to a single fracture, with often higher hazard ratios. It would be important to include the risk of the occurrence of multiple fractures in future prediction models. PURPOSE: To identify clinical risk factors (CRFs) which would specifically increase the risk of multiple fractures. METHODS: Data of the 3560 postmenopausal women of the FRISBEE study were analysed. The CRFs and the fractures are collected annually. The cohort was divided into three groups: those who had no incident fracture, those who had a single incident fracture and those who had 2 two or more incident fractures (i.e. multiple fractures). Statistical analyses were performed using Cox proportional hazards models. RESULTS: Among the 3560 subjects (followed for 9.1 (7.2-10.6) years), 261 subjects had two or more validated fractures during follow-up (146 were major osteoporotic fractures (MOFs)), 628 had one fracture (435 MOFs), 2671 had no fracture (2979 had no MOF); 157 subjects had two or more central fractures, 389 had only one and 3014 had none. The risk factors for those with multiple fractures at any site were age, history of fracture, history of fall, total hip bone mineral density (BMD), spine BMD and rheumatoid arthritis. For those with multiple MOFs, significant CRFs were age, history of fracture, parental hip fracture, total hip BMD and rheumatoid arthritis. CONCLUSION: We found in a prospective cohort study that there were more CRFs and higher hazard ratios for the occurrence of multiple fractures than for a single fracture.

Distribution of Fracture Sites in Postmenopausal Overweight and Obese Women: The FRISBEE Study.

The association between obesity and fracture sites in postmenopausal women has been little studied. We examined the most common types of fractures in obese and overweight postmenopausal women compared to subjects with a normal BMI in the FRISBEE study, a cohort of postmenopausal women followed since 9.1 (7.2-10.6) years. Chi-squared tests and logistic regressions were used to compare the percentages of fracture sites in overweight/obese subjects to subjects with a normal BMI. Their mean (± SD) age was 76.7 ± 6.9 years and their mean BMI was 26.4 ± 4.4. Seven hundred seventy-seven subjects suffered at least one validated fragility fracture with a total of 964 fractures in the whole cohort. Subjects with a BMI higher than 25 had significantly more ankle fractures and less pelvic fractures than subjects with a normal BMI (OR 1.63, 95% CI 1.02-2.56, P = 0.04 and OR 0.55, 95% CI 0.34-0.89, P = 0.01, respectively). There were no significant differences between overweight and obese subjects. Among those older than 75, there were significantly fewer pelvic fractures in overweight/obese subjects (OR 0.49, 95% CI 0.27-0.87, P = 0.01), but before 75, ankle fractures were significantly more frequent in overweight/obese subjects than in subjects with a normal BMI (OR 1.89, 95% CI 1.01-3.57, P = 0.04). In conclusion, the proportion of ankle and pelvic fractures in obese and overweight subjects differs from that in subjects with a normal BMI, but these differences are age dependent. Fracture prevention strategies should take into account the differential effects of excess weight according to age and the site of fracture.

[Factors associated with intrahospital mortality in older patients with COVID-19 in Belgium : The COVID-AgeBru study]. / Face à la COVID-19. Mortalité intra-hospitalière chez les patients âgés de plus de 70 ans avec COVID-19 dans un hôpital universitaire en Belgique :l'étude COVID-AgeBru.

OBJECTIVE: We aimed at assessing the association between demographical and clinical data and the intrahospital mortality in older patients with COVID-19 in Belgium. METHODS: Descriptive, retrospective study of consecutive patients admitted to Brugmann university hospital, Brussels (Belgium) due to COVID-19 (Mars-September-2020). INCLUSION CRITERIA: Patients aged ≥ 70 years admitted to acute care with a positive PCR-RT test, or a highly indicative computed tomography scan. EXCLUSION CRITERIA: Patients transferred to another institution during hospitalization. OUTCOME MEASURE: All-cause intrahospital mortality. Demographic, clinical data, presence of comordibidties and comprehensive geriatric assessment were collected. Adjusted and unadjusted logistic regression were performed. RESULTS: From the 226 eligible patients, 160 (82.7 ± 6.5-year-old; 57.5 % females) met inclusion criteria, from which 67 (42 %) died during hospital stay. The adjusted logistic regression showed an association between intrahospital mortality and increasing age [OR = 1.09 per every year increase (95 % CI 1.02-1.16); p <0.001], type 2 diabetes [OR = 2.75 ( 1.17-6.46); p = 0.021], and acute respiratory distress syndrome (ARDS) [OR = 8.67 ( 3.48-21.61); p < 0.01]. CONCLUSIONS: A higher positive association between intrahospital mortality and increasing age, type 2 diabetes, and ARDS was found. The prognosis value of the comprehensive geriatric assessment in older people with COVID-19 in Belgium requires further studies.

INTRODUCTION: Les études sur l'impact de la pandémie en Belgique sont rares. L'objectif est d'évaluer l'association de l'âge et des comorbidités à la mortalité intra-hospitalière de toutes causes chez les patients âgés ? 70 ans avec COVID-19 dans un hôpital universitaire à Bruxelles, Belgique. Méthodes : Etude rétrospective descriptive des patients admis au CHU Brugmann pour cause de maladie COVID-19 (mars-septembre 2020). Critères d'inclusion : âge ≥ 70 ans admis avec PCR-RT positif ou haute probabilité d'infection au CT-scan thoracique. Critères d'exclusion : transfert dans un autre hôpital. Critère de jugement : toute cause de mortalité intra-hospitalière. Variables collectées : démographiques, cliniques et gériatriques [Katz, Lawton, MMSE, MNA, MNA-SF]. Une régression logistique non ajustée et ajustée a été réalisée. Résultats : Parmi les 226 patients éligibles, 160 (82,7 ± 6,5 ans; 57,5 % femmes) ont rempli les critères d'inclusion. Au total, 67 (42 %) sont décédés durant l'hospitalisation. La régression logistique a montré une association augmentée entre la mortalité et l'âge [odds ratio ou OR = 1,09/année en plus (IC 95 % 1,02-1,16) ; p< 0,001], le diabète de type 2 [OR = 2,75 (1,17-6,46); p = 0,021], l'ARDS [OR = 8,67 (3,48-21,61); p < 0,01]. CONCLUSION: L'âge, le diabète de type 2 et le syndrome de détresse respiratoire aiguë (ARDS) sont associés à une augmentation de la mortalité chez les patients âgés hospitalisés avec COVID-19 en Belgique.

Impact of non-hip fractures in elderly women: a narrative review.

The association of hip fractures with adverse outcomes is well established, but for non-hip fractures this association still needs to be further investigated. The objective of this narrative review is to describe the state of the art with regards to the health impact of clinically relevant non-hip fracture locations in postmenopausal women. PubMed and Scopus databases were searched from January 2010 until December 2020. Studies were included when the crude rates and/or relative risk of 1-year subsequent fractures and/or mortality were reported as well as the precise fracture site. Twenty-three studies met the inclusion criteria. Regarding mortality rates, there was a high variability between studies, with higher rates for vertebral, proximal humerus and pelvic fractures. There was a small or no impact of wrist, ankle or tibia fractures. The mortality rate increased with age after vertebral, proximal humerus and wrist fractures. Moreover, proximal humerus and vertebral fractures were associated with a higher mortality risk. This narrative review indicates that, besides fractures of the hip, fractures of the vertebrae, proximal humerus or pelvis deserve more attention when trying to prevent adverse outcomes of osteoporosis. More studies on the topic of non-hip fractures are urgently needed.

MOF/Hip Fracture Ratio in a Belgian Cohort of Post-menopausal Women (FRISBEE): Potential Impact on the FRAX® Score.

The ratio between major osteoporotic fractures (MOFs) and hip fractures in the Belgian FRAX® tool to predict fractures is currently based on Swedish data. We determined these ratios in a prospective cohort of Belgian postmenopausal women. 3560 women, aged 60-85 years (70.1 ± 6.4 years), were included in a prospective study from 2007 to 2013 and surveyed yearly (FRISBEE). We analyzed the number of validated incident fractures until October 2020 by age and sites and compared the MOFs/hip ratios in this cohort with those from the Swedish databases. We registered 1336 fractures (mean follow-up of 9.1 years). The MOFs/hip ratios extracted from the FRISBEE cohort were 10.7 [95% CI: (5.6-20.5)], 6.4 [4.7-8.7], and 5.0 [3.9-6.5] for women of 60-69, 70-79, and 80-89 years old, respectively. These ratios were 1.7-1.8 times higher for all age groups than those from the Swedish data, which decreased from 6.5 (60-64 years group) down to 1.8 (85-89 age group). The overall MOFs/hip ratio in Frisbee was 6.0 [5.9-6.1], which was higher than any Swedish ratio between 65 and 85 years. Nevertheless, the decrease of the ratios with age paralleled that observed in Sweden. In this Brussels prospective cohort, MOFs/hip ratios were 1.7-1.8 times those observed in Sweden currently used for MOFs prediction in the Belgian FRAX® version. This discrepancy can greatly modify the estimation of the risk of MOFs, which is among the main criteria used to recommend a pharmacological treatment for osteoporosis in several countries.

Risk factors for imminent fractures: a substudy of the FRISBEE cohort.

Multiple factors increase the risk of an imminent fracture, including a recent fracture, older age, osteoporosis, comorbidities, and the fracture site. These findings could be a first step in the development of a model to predict an imminent fracture and select patients most at need of immediate treatment. INTRODUCTION: The risk of a recurrent fragility fracture is maximal during the first 2 years following an incident fracture. In this prospective cohort study, we looked at the incidence of recurrent fractures within 2 years after a first incident fracture and we assessed independent clinical risk factors (CRFs) increasing this imminent fracture risk. METHODS: A total of 3560 postmenopausal women recruited from 2007 to 2013 were surveyed yearly for the occurrence of fragility fractures. We identified patients who sustained a fracture during the first 2 years following a first incident fragility fracture. We quantified the risk of a new fracture and assessed independent CRFs, associated with an imminent fracture at various sites. RESULTS: A recent fracture was a significant CRF for an imminent fracture (OR (95% CI): 3.7 (2.4-5.7) [p < 0.0001]). The incidence of an imminent fracture was higher in subjects above 80 years (p < 0.001). Other CRFs highly predictive in a multivariate analysis were osteoporosis diagnosis (p < 0.01), a central fracture as the index fracture (p < 0.01), and the presence of comorbidities (p < 0.05), with likelihood ratios of 1.9, 1.9, and 2.2, respectively. An imminent fracture was better predicted by a central fracture (p < 0.01) than by a major osteoporotic fracture. The hazard ratio was the highest for a central fracture. CONCLUSION: In patients with a recent fracture, older age, osteoporosis, comorbidities, and fracture site were associated with an imminent fracture risk. These findings could be a first step in the development of a model to predict an imminent fracture and select patients most at need of immediate and most appropriate treatment.

Discriminating value of HR-pQCT for fractures in women with similar FRAX scores: A substudy of the FRISBEE cohort.

Areal bone mineral density (aBMD) has a low sensitivity to identify women at high fracture risk. The FRAX algorithm, by combining several clinical risk factors, might improve fracture prediction compared to aBMD alone. Several micro-architectural and biomechanical parameters which can be measured by high-resolution peripheral quantitative computed tomography (HR-pQCT) are associated with fracture risk. HR-pQCT in combination or not with finite element analysis (FEA) may be used to improve bone strength prediction. Our aim was to assess whether HR-pQCT measurements (densities, cortical and trabecular microarchitecture, biomechanical proprieties assessed by FEA) had an added value in predicting fractures in a subgroup of women belonging to the Belgian FRISBEE cohort. One hundred nineteen women who sustained a fracture (aged 60 to 85 years) during the initial follow-up of our cohort had a radius and tibia examination by HR-pQCT and were compared with controls matched for their FRAX score at baseline. We found that low distal radius total (OR = 1.41 [1.07-1.86] per SD, p < 0.05) and trabecular densities (OR = 1.45 [1.10-1.90], p < 0.01), trabecular number (OR = 1.32 [1.01-1.72], p < 0.05), intra individual distribution of separation (OR = 0.73 [0.54-0.99], p < 0.05) as several FEA parameters were significantly associated with fractures. At the distal tibia, impaired cortical density (OR = 1.32 [1.03-1.70] per SD, p < 0.05) and thickness (OR = 1.29 [1.01-1.63], p < 0.05) and apparent modulus (OR = 1.30 [1.01-1.66], p < 0.05) were significantly correlated with fractures. A low ultra distal radial aBMD (UDR) measured at the time of HR-pQCT was significantly associated with fractures (OR = 1.67 [1.22-2.28], p < 0.01). Women from both groups were followed further after the realization of the HR-pQCT and 46 new fractures were registered. In this second part of the study, low UDR aBMD (OR = 1.66 [1.18-2.35], p < 0.01), total (OR = 1.48 [1.08-2.03], p < 0.05), cortical (OR = 1.40 [1.04-1.87], p < 0.05) and trabecular (OR = 1.37 [1.01-1.85], p < 0.05) densities or apparent modulus (OR = 1.49 [1.07-2.05], p < 0.05) at the radius were associated with a significant increase of fracture risk. At the tibia, only the cortical density was significantly associated with the fracture risk (OR = 1.34 [1.02-2.76], p < 0.05). These results confirm the interest of HR-pQCT measurements for the evaluation of fracture risk, also in women matched for their baseline FRAX score. They also highlight that UDR aBMD contains pertinent information.

[Factors related to the one-month retention of 8507 employees declared medically unfit in Hauts-de-France companies between 2014 and 2018]. / Facteurs liés au maintien dans l'entreprise à un mois chez 8507 salariés déclarés médicalement inaptes en Hauts-de-France entre 2014 et 2018.

BACKGROUND: Given the low rate of retention in a company after an employee has been found unfit for the job, our aim was to determine the factors related to employees being kept by their company one month after being declared unfit for the job due to either a musculoskeletal disease (MSD) or a mental health disorder (MHD). METHODS: This study was based on all employees declared unfit for the job by the occupational physicians in the "Unfitness" survey in the French "Hauts-de-France" region between 2014 and 2018. For each of the two groups of workers, factors related to the employees being kept by their company one month after being declared unfit for the job were studied by logistic regression. RESULTS: Only 6.9% of the 5352 workers declared unfit for the job due to MSD were kept in their company whereas 3.6% of the 3155 workers declared unfit for the job due to MHD were kept in theirs. For the two groups of workers, the proportion of employees kept by their company decreased with female gender (OR=0.63 95%CI [0.47-0.84] for MSD and OR=0.50 [0.32-0.78] for MHD for female vs. male), long sick-leave (OR=0.26 [0.18-0.40] for MSD and OR=0.22 [0.11-0.45] for MHD for sick-leave>6 months vs. no sick leave), small size of the company (<50 employees) and working in the construction field or services sector (vs. industry or administration). Concerning the employees declared unfit due to MSD alone, the proportion of employees kept by their company decreased for seniors (>50 years old) and for those with low seniority (<5 years). CONCLUSION: "Retention in a company" as a tool for "maintenance of employment" is a little-discussed subject, lending further credence to the current recommendations for reduction of inequalities in working conditions and vocational training of employees according to age and socio-occupational category, and also for reduction of inequalities in occupational pathways according to gender.

Osteoporosis treatment gap in a prospective cohort of volunteer women.

Despite the availability of efficient drugs to prevent osteoporotic fractures, only a minority of women receives osteoporosis therapy after a fracture. The high treatment gap in our cohort consisted of unselected volunteer patients highlights the urgent need of additional education, especially for the medical profession, regarding the risk-benefit balance of treatment. INTRODUCTION: Despite the availability of efficient drugs to prevent osteoporotic fractures, only a minority of women receives osteoporosis therapy after a fracture, with a treatment gap around 80%. This can have dramatic consequences for patients and the healthcare systems. METHODS: In this study based on longitudinal data from the FRISBEE (Fracture RIsk Brussels Epidemiological Enquiry) cohort of 3560 volunteer women aged 60 to 85 years, we evaluated the 1-year treatment gap after a first major incident fragility fracture. RESULTS: There were 386 first validated fragility fractures, 285 major osteoporotic fractures (MOF) and 101 "other major" fractures. The rate of untreated patients was 85.0% (82.8% for MOF versus 91.0 % for "other major" fracture sites) (p = 0.04), with a lower rate for spine (70.5%) and hip (72.5%) versus shoulder (91.6%) and wrist (94.1%) (p < 0.0001). More specifically, the treatment gap for patients with osteoporosis, defined by a T-score < - 2.5 SD was 74.6% versus 76.5% for patients with osteoporosis defined by the presence of hip, shoulder, or spine fractures, independently of DXA results. When considering age groups, the rate of untreated women was 87.9% for women 60-70 years old, 88.2% between 70 and 80 years and 77.8% above 80 years (p = 0.03), with a greater difference between women who were younger or older than 80 years at inclusion: 88.1% versus 77.8% (p = 0.009). A diagnosis of osteoporosis (p = 0.01) and age (p = 0.03) were the only clinical risk factors (CRFs) significantly associated with treatment initiation. CONCLUSIONS: This study highlights the urgent need of additional education, especially for the medical profession, regarding the risk-benefit balance of treatment.

[How to avoid overmedicalization of the elderly patient ?] / Comment éviter la surmédicalisation du patient âgé ?

Over-medicalization is a broad concept, which also concerns the elderly patient. It encompasses both over-diagnosis and over-treatment. An increasing awareness of this issue has emerged since 2013, with the first " Preventing Overdiagnosis " conference. Currently, Evidence-Based Medicine does not prevent over-diagnosis. Indeed, the presence of geriatric characteristics such as multiple comorbidities, polypharmacy and frailty can lead to misdiagnosis and to potentially deleterious treatment. Subclinical hypothyroidism and Alzheimer's disease are two examples of pitfalls in the interpretation of biological and para-clinical data that may lead to the administration of useless treatment. Different issues are discussed to identify the causes of over-medicalization and to better prevent it.

La surmédicalisation est un concept large, qui concerne également le patient âgé. Elle englobe à la fois le surdiagnostic et sa conséquence à savoir le surtraitement. Une sensibilisation à ce sujet a émergé depuis 2013, date du premier congrès " Preventing Overdiagnosis ". Actuellement, l'Evidence-Based Medicine ne permet pas d'éviter le surdiagnostic chez le patient âgé. En effet, la présence de caracté- ristiques gériatriques telles que les multiples comorbidités, la polymédication et la fragilité peut mener à l'élaboration d'un diagnostic erroné et à l'instauration d'un traitement potentiellement délétère. L'hypothyroïdie subclinique et la maladie d'Alzheimer sont deux exemples de pièges potentiels à l'interprétation de données biologiques et paracliniques pouvant mener à l'administration d'un traitement futile. Différentes pistes sont abordées pour identifier les causes de la surmédicalisation et mieux la prévenir.

[Screening of the risk of functional decline performed by an inpatient geriatric consultation team in a general hospital]. / Dépistage du risque de déclin fonctionnel par une equipe gériatrique mobile au sein d'un hôpital général.

The Mobile Geriatric Team (MGT) is part of the Geriatric Care Program and aims to provide interdisciplinary geriatric expertise to other professionals for old patients hospitalized outside geriatric department. Our hospital has a MGT since 2008. Our objective is to retrospectively describe the population of patients of 75 years and older hospitalized outside the geriatric ward and screened for the risk of functional decline by the MGT between 1 October 2009 and 30 September 2011. We recorded the risk of functional decline, as indicated by the Identification of Senior At Risk score (ISAR) performed within 48 h after admission, place of living, discharge destination, Mini Mental State Examination (MMSE) and Geriatric Depression Scale (GDS) scores. In two years, 1.568 patients > or = 75 Y were screened with the ISAR score (mean age 82.5 Y, 60.7% of women). We identified 833 patients with a high-risk of functional decline (ISAR > or = 3). The majority of high-risk subjects (78%) were living at home before hospitalization and 58.7% returned home after discharge. Depression and cognitive impairment were identified among respectively 41% and 59% of high-risk subjects. Only 128 patients were admitted for fall. Most of the faller patients were living at home prior hospitalization and had an ISAR score > or = 3. The MGT allowed identifying many patients > or = 75 Y living at home and presenting with high-risk of functional decline and geriatric syndromes, confirming that good screening procedures are necessary to optimize management of hospitalized olders. Most of faller patients have an ISAR score > or = 3 and should benefit a comprehensive geriatric assessment.

Conversion from tacrolimus to cyclosporin is associated with a significant improvement of glucose metabolism in patients with new-onset diabetes mellitus after renal transplantation.

BACKGROUND: The incidence of new-onset posttransplant diabetes mellitus (PTDM) is increased in renal transplant patients treated with tacrolimus. METHODS: We retrospectively analyzed fasting plasma glucose and HbA1c levels as well as the dose of glucose-lowering agents in 34 renal transplant patients converted from tacrolimus to cyclosporine (CsA) for PTDM. Diabetes was defined according to current guidelines as repeated fasting plasma glucose (FPG) levels > or =126 mg/dL. RESULTS: At conversion, 11 patients received insulin, 5 received oral agents, and 18 had no glucose-lowering therapy. Fasting plasma glucose levels decreased from 146 +/- 64 mg/dL at conversion to 111 +/- 26 mg/dL at 3 months and 104 +/- 21 mg/dL at 12 months (P < .001). HbA1c levels decreased from 6.8 +/- 0.8% at conversion to 6.0 +/- 0.6% at 12 months (P = .001). Insulin was stopped in 3, the dose reduced in 7, and remained stable in 1 of the patients. The average daily insulin dose among these patients was reduced from 31 +/- 17 units at conversion to 13 +/- 12 units at 12 months (P < .05). There was no significant change in the number of patients treated with oral glucose-lowering agents. Diabetes reversed (fasting plasma glucose < or = 125 mg/dL without glucose-lowering therapy) in 44% (95% confidence interval, 23% to 64%) of patients during the first year after conversion (P < .001). Graft function, blood pressure, and lipid levels remained stable after conversion but the proportion of patients receiving lipid-lowering therapy increased from 18% to 49% (P < .01). CONCLUSIONS: Conversion from tacrolimus to CsA for PTDM was associated with a marked improvement in glucose metabolism and frequent reversal of diabetes.

IL-5 mediates eosinophilic rejection of MHC class II-disparate skin allografts in mice.

CD4 T cells play a crucial role in the acute rejection of MHC class II-disparate skin allografts, mainly by Fas/Fas ligand-mediated cytotoxicity. Because recent observations indicate that eosinophils may be found within allografts rejected by CD4 T cells, we evaluated the role played by IL-5, the main eosinophil growth factor, and by eosinophils in the rejection of MHC class II-disparate skin grafts. C57BL/6 mice rapidly rejected MHC class II-disparate bm12 skin grafts. Rejected skins contained a dense, aggressive eosinophil infiltrate. Lymphocytes isolated from lymph nodes draining rejected bm12 skin were primed for IL-5 secretion, and IL-5 mRNA was present within rejected grafts. The IL-5/eosinophil pathway played an effector role in allograft destruction, because the rejection of bm12 skin was significantly delayed in IL-5-deficient mice as compared with wild-type animals. The role of the IL-5/eosinophil pathway was further investigated in MHC class II-disparate donor-recipient strains unable to establish Fas/Fas ligand interactions. Fas ligand-deficient gld/gld mice rejected bm12 skins, and bm12 mice rejected Fas-deficient lpr/lpr C57BL/6 skins. Neutralization of IL-5 prevented acute rejection in both combinations. We conclude that MHC class II-disparate skin allografts trigger an IL-5-dependent infiltration of eosinophils that is sufficient to result in acute graft destruction.

Critical roles for IL-4, IL-5, and eosinophils in chronic skin allograft rejection.

C57BL/6 mice injected with the 145-2C11 anti-CD3 mAb and grafted with MHC class II disparate bm12 skin develop a chronic rejection characterized by interstitial dermal fibrosis, a marked eosinophil infiltrate, and an obliterative intimal vasculopathy. Because these changes occur in the absence of alloreactive antibodies, we examined the contribution of cytokines in their pathogenesis. Chronically rejected grafts showed a marked accumulation of both IL-4 and IL-5 mRNA. Mixed lymphocyte reaction experiments established that mice undergoing chronic rejection were primed for IL-4, IL-5, and IL-10 secretion. In vivo administration of anti-IL-4 mAb completely prevented allograft vasculopathy as well as graft eosinophil infiltration and dermal fibrosis. Injection of anti-IL-5 mAb or the use of IL-5-deficient mice as recipients also resulted in the lack of eosinophil infiltration or dermal fibrosis, but these mice did develop allograft vasculopathy. Administration of anti-IL-10 mAb did not influence any histologic parameter of chronic rejection. Thus, in this model, IL-4- and IL-5-mediated tissue allograft eosinophil infiltration is associated with interstitial fibrosis. IL-4, but not eosinophils, is also required for the development of obliterative graft arteriolopathy.

Monocyte procoagulant activity induced by in vivo administration of the OKT3 monoclonal antibody.

The first injection of OKT3 in kidney transplant recipients activates the common pathway of coagulation. This may result in early thrombosis of graft vessels. To this day, the cells involved in this phenomenon have not been identified. The aim of this study was to investigate whether circulating monocytes participated in this OKT3-induced coagulopathy. The procoagulant activity (PCA) of circulating monocytes rose from (mean +/- SEM) 0.15 +/- 0.02 mU/mL to 0.40 +/- 0.05 mU/mL at 3 hours (P = .002) and 0.56 +/- 0.21 at 5 hours (P = .045) after the initial OKT3 injection. These monocytes displayed increased tissue factor expression at the same moments (mean flourescence intensity: 14 +/- 2 before OKT3 injection versus 54 +/- 14 at 3 hours, P = .008 and 34 +/- 7 at 5 hours, P = .01). Tissue factor mRNA was detected in blood by reverse transcriptase-polymerase chain reaction as early as 2 hours after OKT3 administration. The circulating monocytes also displayed a steady increase in membrane expression upregulation of ICAM-1, CD29, CD11b, and CD11c. In vitro experiments showed that OKT3 as well as 2 mitogenic, humanized anti-CD3 antibodies potently induced monocytic PCA whereas the 4 nonmitogenic anti-CD3 antibodies tested were over 1,000-fold less potent than OKT3. We conclude that (1) OKT3 induces in vivo tissue factor gene upregulation and membrane expression resulting in increased PCA of circulating monocytes; and (2) nonmitogenic anti-CD3 antibodies seem devoid of significant procoagulant properties.

Prevention of OKT3 nephrotoxicity after kidney transplantation.

In our experience the use of OKT3 as prophylaxis in renal transplantation has been associated with an increased incidence of both delayed graft function and thromboses of graft vessels. OKT3 nephrotoxicity might have been favored by restriction of perioperative fluid infusion to prevent pulmonary edema and by the use of very high dose (30 mg/kg) of methylprednisolone (mPDS) before the first OKT3 injection to reduce the release of cytokines. This led us to modify our perioperative management in three ways: (1) hydration status was optimalized; (2) the calcium-channel blocker diltiazem, considered beneficial for recovery of graft function, was administered on the day of transplantation; and (3) the dose of mPDS given before the first OKT3 injection was fixed at 8 mg/kg. Comparison of two consecutive series of patients (group 1, control patients, N = 172; group 2, managed as described above, N = 173) showed that: (1) the incidence of delayed graft function fell from 52% in group 1 to 22% in group 2 (P < 0.0001): (2) the incidence of pulmonary edema was not significantly increased in group 2 (3.5% vs. 1.7% in group 1, P = 0.5); and (3) the frequency of intragraft thrombosis fell from 7.6% in group 1 to 1.2% in group 2 (P = 0.0034). Multivariate analysis showed that the volemia/diltiazem program and avoidance of high mPDS dose were the most important factors responsible for the reduced occurrence of delayed graft function and graft vessels thrombosis, respectively. We conclude that a combined strategy of appropriate dosage of steroids before the first OKT3 injection, administration of a calcium-channel blocker and optimalization of volemia is safe and efficiently prevents against OKT3 nephrotoxic effects.

High-dose glucocorticosteroids increase the procoagulant effects of OKT3.

The use of OKT3 as prophylaxis in renal transplantation carries an increased risk of intragraft thrombosis, which is related to the systemic activation of the coagulation system that consistently occurs after the first dose of OKT3. As only a few patients develop thrombosis after OKT3 therapy, we searched for possible additional risk factor by comparing the demographic and clinical parameters of the 13 patients who developed thrombosis in our institution to those of 218 patients who did not. Multivariate analysis showed a relationship between the dose of methylprednisolone (mPDS) given before the first OKT3 injection and the risk of thrombosis: 6 out of 42 patients (14%) who received high (30 mg/kg) mPDS experienced a thrombotic event, as compared to 7 out of the 189 patients (3.7%) who received < or = 8 mg/kg of mPDS (P < 0.01). This led us to study the effects of mPDS on the procoagulant activity induced by OKT3 on peripheral blood mononuclear cells (PBMC) in vitro. The procoagulant activity of unstimulated PBMC (mean +/- SEM: 0.6 +/- 0.1 mU/ml) reached 3.0 +/- 0.7 mU/ml after OKT3 stimulation (P = 0.0062) and further increased to 7.4 +/- 2.0 mU/ml when PBMC were first preincubated overnight with mPDS before OKT3 stimulation (P = 0.018 as compared to OKT3 alone). This process involved the tissue factor/factor VII pathway, as shown by increased membrane expression of tissue factor on monocytes as well as by a marked reduction of the induced procoagulant activity when the clotting assay was performed with factor VII-deficient plasma.(ABSTRACT TRUNCATED AT 250 WORDS)