Obesity screening in older women with the body mass index: A receiver operating characteristic (ROC) analysis

2000 ◽  
Vol 15 (4) ◽  
pp. 212-219 ◽  
Author(s):  
L.B. Sardinha ◽  
P.J. Teixeira
Keyword(s):  
Body Mass Index ◽  
Receiver Operating Characteristic ◽  
Older Women ◽  
Body Mass ◽  
Roc Analysis ◽  
Operating Characteristic ◽  
The Body ◽  
Receiver Operating

scholarly journals Prognosemodelle für Beckenbodenschäden im Vergleich von Vaginalgeburt und Sectio

2020 ◽  
Vol 53 (12) ◽  
pp. 800-805
Author(s):  
Cornelia Betschart ◽  
Roland Zimmermann
Keyword(s):  
Body Mass Index ◽  
Receiver Operating Characteristic ◽  
Body Mass ◽  
Operating Characteristic ◽  
Levator Ani ◽  
Mütterliches Alter ◽  
Receiver Operating

ZusammenfassungMehr als die Hälfte der Primiparae berichten ein Jahr nach der Geburt über Veränderungen am Beckenboden. Symptome sind Harn- oder Stuhlinkontinenz, Missempfindungen, Laxität oder Senkungsgefühl am Beckenboden. Zugrunde liegende Schädigungen können muskulärer Art (M. levator ani oder M. sphincter ani) oder ligamentärer Art sein. Risikofaktoren für Beckenbodentraumata sind höheres mütterliches Alter, eine protrahierte Austreibungsphase, Forzepsgeburt, okzipitoposteriore Einstellung und ein Dammriss III und IV°. Abgesehen vom mütterlichen Alter sind die Risikofaktoren jedoch präpartal nicht bekannt, und diese Lücke wollen Prädiktionsmodelle schließen. Das erste Prädiktionsmodell trägt den Namen UR-CHOICE. Basierend auf epidemiologischen Langzeitdaten aus den Datenbanken ProLong (UK und Neuseeland) und SWEPOP (Schweden) werden für verschiedene Parameter wie dem mütterlichen Alter, dem Body-Mass-Index (BMI), der Anzahl gewünschter Kinder und der Familienanamnese für Inkontinenz Risikogewichte etabliert, welche in der Kombination eine Prozentzahl für Urin‑, Stuhlinkontinenz und Genitaldeszensus liefern. Das zweite Modell, das „Capacity-Demand-Modell“, integriert objektive Daten aus der Bildgebung, nämlich den kindlichen Kopfumfang und den Umfang des M. levator ani, um mit einer Zuverlässigkeit von 0,8 in der Receiver-Operating-Characteristic(ROC)-Kurve ein schweres Levator-ani-Muskeltrauma vorauszusagen.

scholarly journals Preoperative Ultrasonography Is Unreliable in Predicting Hamstring Tendon Graft Diameter for ACL Reconstruction

2018 ◽  
Vol 6 (1) ◽  
pp. 232596711774614 ◽  
Author(s):  
Amit M. Momaya ◽  
Clint Beicker ◽  
Paul Siffri ◽  
Michael J. Kissenberth ◽  
Jeffrey Backes ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Receiver Operating Characteristic ◽  
Acl Reconstruction ◽  
Body Mass ◽  
Operating Characteristic ◽  
Hamstring Tendons ◽  
Graft Size ◽  
The Mean ◽  
Graft Diameter ◽  
Receiver Operating

Background: Hamstring autograft size <8 mm has been shown to be a predictor for failure after anterior cruciate ligament (ACL) reconstruction. The ability to predict graft size preoperatively is helpful in counseling patients about the possible need for graft augmentation. Purpose: To determine whether preoperative ultrasound (US) measurements of hamstring tendons can predict intraoperative graft diameter during ACL reconstruction. Study Design: Cohort study (diagnosis); Level of evidence, 2. Methods: Twenty patients undergoing unilateral isolated ACL reconstruction were prospectively enrolled in the study (10 males, 10 females; mean ± SD age, 22.8 ± 6.6 years; height, 175.1 ± 7.1 cm; weight, 81.4 ± 14.2 kg; body mass index, 26.5 ± 4.1 kg/m2). Hamstrings were assessed by US, and double-looped semitendinosus-gracilis hamstring size was independently calculated with a freehand selection method on a nonmagnified US image by 2 orthopaedic surgeons. Intraoperative autograft size was determined with a standard graft-sizing tool. Intra- and interrater reliability was measured with intraclass correlation coefficients (ICCs) and standard error of the measure (SEM). A receiver operating characteristic curve was calculated to assess the ability of the US measurement to predict intraoperative measurements. Results: The mean autograft diameter by US was 8.9 ± 0.98 mm, while the mean intraoperative hamstring graft size was 8.1 ± 0.89 mm. There was excellent intrarater (ICC2,1 = 0.95, SEM = 0.32 mm) and interrater (ICC2,1 = 0.88, SEM = 0.55 mm) reliability for US measurements. Receiver operating characteristic analysis showed that US did not consistently quantify graft size. Graft size did not significantly correlate with height, weight, or body mass index in our sample ( P > .05). Conclusion: These results suggest that preoperative US imaging of the hamstring tendons is unreliable in predicting intraoperative graft diameter.

scholarly journals Targeting Hypertension Screening in Low‐ and Middle‐Income Countries: A Cross‐Sectional Analysis of 1.2 Million Adults in 56 Countries

2021 ◽  
Author(s):  
Tabea K. Kirschbaum ◽  
Michaela Theilmann ◽  
Nikkil Sudharsanan ◽  
Jennifer Manne‐Goehler ◽  
Julia M. Lemp ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Receiver Operating Characteristic Curve ◽  
Receiver Operating Characteristic ◽  
Body Mass ◽  
Operating Characteristic ◽  
Smoking Status ◽  
Characteristic Curve ◽  
Operating Characteristic Curve ◽  
Receiver Operating

Background As screening programs in low‐ and middle‐income countries (LMICs) often do not have the resources to screen the entire population, there is frequently a need to target such efforts to easily identifiable priority groups. This study aimed to determine (1) how hypertension prevalence in LMICs varies by age, sex, body mass index, and smoking status, and (2) the ability of different combinations of these variables to accurately predict hypertension. Methods and Results We analyzed individual‐level, nationally representative data from 1 170 629 participants in 56 LMICs, of whom 220 636 (18.8%) had hypertension. Hypertension was defined as systolic blood pressure ≥140 mm Hg, diastolic blood pressure ≥90 mm Hg, or reporting to be taking blood pressure–lowering medication. The shape of the positive association of hypertension with age and body mass index varied across world regions. We used logistic regression and random forest models to compute the area under the receiver operating characteristic curve in each country for different combinations of age, body mass index, sex, and smoking status. The area under the receiver operating characteristic curve for the model with all 4 predictors ranged from 0.64 to 0.85 between countries, with a country‐level mean of 0.76 across LMICs globally. The mean absolute increase in the area under the receiver operating characteristic curve from the model including only age to the model including all 4 predictors was 0.05. Conclusions Adding body mass index, sex, and smoking status to age led to only a minor increase in the ability to distinguish between adults with and without hypertension compared with using age alone. Hypertension screening programs in LMICs could use age as the primary variable to target their efforts.

scholarly journals Interaction of MRE11 and Clinicopathologic Characteristics in Recurrence of Breast Cancer: Individual and Cumulated Receiver Operating Characteristic Analyses

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Cheng-Hong Yang ◽  
Sin-Hua Moi ◽  
Li-Yeh Chuang ◽  
Shyng-Shiou F. Yuan ◽  
Ming-Feng Hou ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Receiver Operating Characteristic ◽  
Roc Analysis ◽  
Operating Characteristic ◽  
Growth Factor Receptor ◽  
Cancer Recurrence ◽  
Breast Cancer Recurrence ◽  
Prognostic Indicators ◽  
Clinicopathologic Characteristics ◽  
Receiver Operating

The interaction between the meiotic recombination 11 homolog A (MRE11) oncoprotein and breast cancer recurrence status remains unclear. The aim of this study was to assess the interaction between MRE11 and clinicopathologic variables in breast cancer. A dataset for 254 subjects with breast cancer (220 nonrecurrent and 34 recurrent) was used in individual and cumulated receiver operating characteristic (ROC) analyses of MRE11 and 12 clinicopathologic variables for predicting breast cancer recurrence. In individual ROC analysis, the area under curve (AUC) for each predictor of breast cancer recurrence was smaller than 0.7. In cumulated ROC analysis, however, the AUC value for each predictor improved. Ten relevant variables in breast cancer recurrence were used to find the optimal prognostic indicators. The presence of any six of the following ten variables had a high (79%) sensitivity and a high (70%) specificity for predicting breast cancer recurrence: tumor size ≥ 2.4 cm, tumor stage II/III, therapy other than hormone therapy, age ≥ 52 years, MRE11 positive cells > 50%, body mass index ≥ 24, lymph node metastasis, positivity for progesterone receptor, positivity for epidermal growth factor receptor, and negativity for estrogen receptor. In conclusion, this study revealed that these 10 clinicopathologic variables are the minimum discriminators needed for optimal discriminant effectiveness in predicting breast cancer recurrence.

Sign in / Sign up

Export Citation Format

Share Document