Receiver-operating characteristic analyses of body mass index, waist circumference and waist-to-hip ratio for obesity: Screening in young adults in central south of China

2006 ◽  
Vol 25 (6) ◽  
pp. 1030-1039 ◽  
Author(s):  
Fang Yang ◽  
Jin-Hai Lv ◽  
Shu-Feng Lei ◽  
Xiang-Ding Chen ◽  
Man-Yuan Liu ◽  
...  
2020 ◽  
Vol 53 (12) ◽  
pp. 800-805
Author(s):  
Cornelia Betschart ◽  
Roland Zimmermann

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.


2018 ◽  
Vol 6 (1) ◽  
pp. 232596711774614 ◽  
Author(s):  
Amit M. Momaya ◽  
Clint Beicker ◽  
Paul Siffri ◽  
Michael J. Kissenberth ◽  
Jeffrey Backes ◽  
...  

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.


Author(s):  
Tabea K. Kirschbaum ◽  
Michaela Theilmann ◽  
Nikkil Sudharsanan ◽  
Jennifer Manne‐Goehler ◽  
Julia M. Lemp ◽  
...  

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.


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