The role of fat mass index in determining obesity

Objectives: The objective of this study is to compare body mass index (BMI), percent body fat (PBF), and fat mass index (FMI) and to investigate the accuracy of FMI as a convenient tool for assessing obesity. Design: Anthropometric measurements and bioelectrical impedance analyses were performed on 538 Mexican Americans (373 women and 165 men). Correlations between BMI and PBF and between FMI and PBF were investigated. The percentage of persons misclassified as obese using different classifications was calculated. Multiple linear regression analysis was performed to generate predictive models of FMI for males and females separately. Results: BMI and PBF were correlated in men (rho = 0.877; P \u3c 0.0001) and women (rho = 0.966; P \u3c 0.0001); however, 20 and 67.2% of the men and 9.2 and 84.2% of women, classified as normal weight and overweight by BMI, respectively, were diagnosed as obese by PBF. FMI and PBF were also correlated in men (rho = 0.975; P \u3c 0.0001) and women (rho = 0.992; P \u3c 0.0001). Four percent of the men classified as normal weight and 65.5% classified as overweight by BMI were obese by FMI, while 71.3% of women classified as overweight by BMI were obese by FMI. Misclassification of obesity between FMI and PBF categories was observed in 5.4% of men and 7.8% of women. Conclusions: The discrepancy observed between BMI and PBF reflects a limitation of BMI. Conversely, FMI accurately assessed obesity in our study of Mexican Americans, but further studies are necessary to confirm our findings in different ethnic groups

Demyelinating syndrome in SLE encompasses different subtypes: Do we need new classification criteria? Pooled results from systematic literature review and monocentric cohort analysis

Objective To describe features of demyelinating syndrome (DS) in systemic lupus erythematosus (SLE). Methods A systematic review using a combination of Mesh terms in PubMed and a retrospective analysis of 343 adult patients with SLE were carried out to identify patients with DS. Retrieved cases were classified as affected with DS according to 1999 ACR nomenclature and attributed to SLE by applying the 2015 algorithm. DS defined according to the clinical but not temporal 1999 ACR criteria was classified as clinically isolated syndrome (CIS). Results Estimated prevalence of DS (including CIS) in the SLE cohort was 1.3% and incidence rate was 1.5 cases per 1000 patient-years. Overall, 100 cases from literature review and 4 from SLE cohort were identified and are presented as a whole: 49 (47.1%) were classified as neuromyelitis optica spectrum disorders (NMOSD), 29 (27.9%) as CIS, 14 (13.5%) as NMO, 7 (6.7%) as DS prominently involving the brainstem and 5 (4.8%) as DS prominently involving the brain. DS was the SLE onset manifestation in 41 (39.4%) patients. Longitudinally extensive transverse myelitis was the most frequent manifestations being present in 73 (70.2%) patients (37 NMOSD, 21 CIS, 14 NMO, 1 DSB). Methylprednisolone (79.8%) and cyclophosphamide (55.8%) pulses, but also plasma-exchange (16.3%) and rituximab (7.6%) in relapsing-refractory cases, were mostly prescribed. Complete recovery rate ranged between 62% in CIS to 7% in NMO. Conclusion DS in SLE is rare (1%) and encompasses different subtypes including CIS. Timely diagnosis and early treatment are recommended to minimize complications

Long-term Cognitive Trajectories and Mortality in Older Women.

BackgroundFew studies have examined whether change in cognition is linked to mortality. This study examined the relationship between cognitive trajectories in older age and risk of death.MethodsWe studied community-dwelling, nondemented women aged 65+ (mean age = 71) enrolled in a prospective study of aging and followed up to 25 years. A modified Mini-Mental State Examination (mMMSE) and Trail Making Task Part B (TMTB) were administered at multiple visits during follow-up. We examined the association between cognitive trajectories (analyzed by quintiles) from baseline to age 80 (n = 7,477 for mMMSE and n = 6,503 for TMTB) and all-cause mortality after age 80 using Cox regression models, both unadjusted and adjusted for education, physical activity, alcohol, depression score, current smoking and history of hypertension and diabetes. Cause of death was determined from death certificates, classified as cardiovascular, cancer and other.ResultsWomen with greater rate of decline were older, less educated, less physically active, had higher depression score and were more likely to have a history of hypertension and diabetes (all p < .01). Participants with the greatest decline (quintile 1) had an increased risk of death (mMMSE hazard ratio [HR] = 1.28; TMTB HR = 1.43] and those with the least decline (quintile 5) had a decreased risk of death (mMMSE HR = 0.73; TMTB HR = 0.61) compared with intermediate decliners (quintiles 2-4). Cognitive trajectories were associated with cardiovascular mortality and other causes of death, but not cancer deaths.ConclusionsOur study suggests that greater decline in general cognition or executive function is associated with higher rates of mortality in oldest-old women

Long-term Cognitive Trajectories and Mortality in Older Women

BACKGROUND: Few studies have examined whether change in cognition is linked to mortality. This study examined the relationship between cognitive trajectories in older age and risk of death. METHODS: We studied community-dwelling, nondemented women aged 65+ (mean age = 71) enrolled in a prospective study of aging and followed up to 25 years. A modified Mini-Mental State Examination (mMMSE) and Trail Making Task Part B (TMTB) were administered at multiple visits during follow-up. We examined the association between cognitive trajectories (analyzed by quintiles) from baseline to age 80 (n = 7,477 for mMMSE and n = 6,503 for TMTB) and all-cause mortality after age 80 using Cox regression models, both unadjusted and adjusted for education, physical activity, alcohol, depression score, current smoking and history of hypertension and diabetes. Cause of death was determined from death certificates, classified as cardiovascular, cancer and other. RESULTS: Women with greater rate of decline were older, less educated, less physically active, had higher depression score and were more likely to have a history of hypertension and diabetes (all p < .01). Participants with the greatest decline (quintile 1) had an increased risk of death (mMMSE hazard ratio [HR] = 1.28; TMTB HR = 1.43] and those with the least decline (quintile 5) had a decreased risk of death (mMMSE HR = 0.73; TMTB HR = 0.61) compared with intermediate decliners (quintiles 2–4). Cognitive trajectories were associated with cardiovascular mortality and other causes of death, but not cancer deaths. CONCLUSIONS: Our study suggests that greater decline in general cognition or executive function is associated with higher rates of mortality in oldest-old women