scholarly journals Periodontal risk calculator versus periodontal risk assessment

2015 ◽  
Vol 7 (6) ◽  
pp. 656
Author(s):  
G Harikishan ◽  
G. V.Naga Sai Sujai ◽  
V. S. S. Triveni ◽  
S Barath
2020 ◽  
Vol 47 (8) ◽  
pp. 921-932
Author(s):  
Hari Petsos ◽  
Susanne Arendt ◽  
Peter Eickholz ◽  
Katrin Nickles ◽  
Bettina Dannewitz

2012 ◽  
Vol 83 (3) ◽  
pp. 292-300 ◽  
Author(s):  
Fernando Oliveira Costa ◽  
Luís Otávio Miranda Cota ◽  
Eugênio José Pereira Lages ◽  
Ana Paula Lima Oliveira ◽  
Sheila Cavalca Cortelli ◽  
...  

2016 ◽  
Vol 44 (1) ◽  
pp. 51-57 ◽  
Author(s):  
Leonardo Trombelli ◽  
Luigi Minenna ◽  
Luca Toselli ◽  
Antonio Zaetta ◽  
Luigi Checchi ◽  
...  

2012 ◽  
Vol 12 (3) ◽  
pp. 2-11 ◽  
Author(s):  
Wayne Kye ◽  
Robert Davidson ◽  
John Martin ◽  
Steven Engebretson

2010 ◽  
Vol 37 (2) ◽  
pp. 191-199 ◽  
Author(s):  
G. Matuliene ◽  
R. Studer ◽  
N. P. Lang ◽  
K. Schmidlin ◽  
B. E. Pjetursson ◽  
...  

2015 ◽  
Vol 26 ◽  
pp. vii117
Author(s):  
Kenichi Miyamoto ◽  
Kenichi Nakamura ◽  
Junki Mizusawa ◽  
Kozo Kataoka ◽  
Hiroshi Katayama ◽  
...  

Author(s):  
George Zhang ◽  
Frances Wang ◽  
Ha Vi Nguyen ◽  
Jessica Bienstock ◽  
Marielle Gross

Objective: Given growing interest in alternatives to hospital birth, particularly given the COVID-19 pandemic, we developed a peripartum intervention risk calculator (PIRC) to estimate maternal and neonatal risk of requiring hospital-based peripartum intervention. Design: National cohort study. Setting: United States. Sample: Hospital births captured by the Pregnancy Risk Assessment Monitoring System from 2009-2018. Methods: The cohort was stratified by receipt of hospital-based interventions, defined as: 1) operative vaginal delivery (forceps or vacuum), 2) cesarean delivery, or 3) requiring neonatal intensive care unit admission. Gravidas with prior cesarean delivery or fetal malformation were excluded. Main Outcome Measures: Risk of requiring hospital-based intervention. Results: A total of 63,234 births were evaluated (72.6% full-term, 48.5% nulliparous) including 37.9% who received one or more hospital–based interventions. Gestational age was the most predictive factor of requiring hospital-based intervention, with lowest odds at 400/7-406/7 weeks. Previous live births (Ref: none; 1, OR 0.41; 2, OR 0.35; ≥3, OR 0.29; p<0.05 for all) were protective. Other predictors included advanced maternal age, high pre-pregnancy body mass index, maternal diabetes, maternal hypertension, and not exercising during pregnancy. The resulting seven-factor model demonstrated strong discrimination (optimism corrected C-statistic=0.776) and calibration (mean absolute error=0.009). Conclusions: We developed and validated the PIRC for predicting individualized risk for hospital-based intervention among gravidas based on seven readily accessible prenatal factors. This calculator can support personalized counseling regarding planned birth setting, helping to close a critical gap in current clinical guidance and providing an evidence-based risk assessment for those contemplating alternatives to hospital birth.


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