To send content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about sending content to .
To send content items to your Kindle, first ensure firstname.lastname@example.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about sending to your Kindle.
Note you can select to send to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
To evaluate the performance of waist-to-height ratio (WHtR) in predicting
cardiometabolic outcomes and compare cut-off points for Brazilian
Cross-sectional study. WHtR areas under the curve (AUC) were compared with
those for BMI, waist circumference (WC) and waist-to-hip ratio (WHR). The
outcomes of interest were hypertension, diabetes, hypertriacylglycerolaemia
and presence of at least two components of metabolic syndrome (≥2
MetS). Cut-offs for WHtR were compared and validity measures were estimated
for each point.
Teaching and research institutions in six Brazilian state capitals,
Women (n 5026) and men (n 4238) aged
35–54 years who participated in the Brazilian Longitudinal Study of
Adult Health (ELSA-Brasil) at baseline.
WHtR age-adjusted AUC ranged from 0·68 to 0·72 in men and
0·69 to 0·75 in women, with smaller AUC for
hypertriacylglycerolaemia and the largest for ≥2 MetS. WHtR performed
better than BMI for practically all outcomes; better than WHR for
hypertension in both sexes; and displayed larger AUC than WC in predicting
diabetes mellitus. It also offered better discriminatory power for ≥2
MetS in men; and was better than WC, but not WHR, in women. Optimal cut-off
points of WHtR were 0·55 (women) and 0·54 (men), but they
presented high false-negative rate compared with 0·50.
We recommend using WHtR (which performed similarly to, or better than, other
available indices of adiposity) as an anthropometric index with good
discriminatory power for cardiometabolic outcomes in Brazilian adults,
indicating the already referenced limit of WHtR≥0·50.
To develop a predictive system for the occurrence of nosocomial pneumonia in patients who had cardiac surgery performed.
Retrospective cohort study.
Two cardiologic tertiary care hospitals in Rio de Janeiro, Brazil.
Between June 2000 and August 2002, there were 1,158 consecutive patients who had complex heart surgery performed. Patients older than 18 years who survived the first 48 postoperative hours were included in the study. The occurrence of pneumonia was diagnosed through active surveillance by an infectious diseases specialist according to the following criteria: the presence of new infiltrate on a radiograph in association with purulent sputum and either fever or leukocytosis until day 10 after cardiac surgery. Predictive models were built on the basis of logistic regression analysis and classification and regression tree (CART) analysis. The original data set was divided randomly into 2 parts, one used to construct the models (ie, “test sample”) and the other used for validation (ie, “validation sample”).
The area under the receiver–operating characteristic (ROC) curve was 69% for the logistic regression model and 76% for the CART model. Considering a probability greater than 7% to be predictive of pneumonia for both models, sensitivity was higher for the logistic regression models, compared with the CART models (64% vs 56%). However, the CART models had a higher specificity (92% vs 70%) and global accuracy (90% vs 70%) than the logistic regression models. Both models showed good performance, based on the 2-graph ROC, considering that 84.6% and 84.3% of the predictions obtained by regression and CART analyses were regarded as valid.
Although our findings are preliminary, the predictive models we created showed fairly good specificity and fair sensitivity.
Email your librarian or administrator to recommend adding this to your organisation's collection.