Predictive performance of the Garvan Fracture Risk Calculator: a registry-based cohort study

Author(s):  
A. Agarwal ◽  
W. D. Leslie ◽  
T. V. Nguyen ◽  
S. N. Morin ◽  
L. M. Lix ◽  
...  
Author(s):  
Arnav Agarwal ◽  
William D. Leslie ◽  
Tuan V. Nguyen ◽  
Suzanne N. Morin ◽  
Lisa M. Lix ◽  
...  

2020 ◽  
pp. bjophthalmol-2020-316401
Author(s):  
Qian Yang ◽  
Xiaohong Zhou ◽  
Yingqin Ni ◽  
Haidong Shan ◽  
Wenjing Shi ◽  
...  

PurposesTo develop an optimised retinopathy of prematurity (ROP) screening guideline by adjusting the screening schedule and thresholds of gestational age (GA) and birth weight (BW).MethodsA multicentre retrospective cohort study was conducted based on data from four tertiary neonatal intensive care units in Shanghai, China. The medical records of enrolled infants, born from 2012 to 2016 who underwent ROP examinations, were collected and analysed. The incidence and risk factors for ROP were analysed in all infants. Postnatal age (PNA) and postmenstrual age (PMA) of infants, detected to diagnose ROP for the first time, were compared with the present examination schedule. The predictive performance of screening models was evaluated by internally validating sensitivity and specificity.ResultsOf the 5606 eligible infants, ROP was diagnosed in 892 (15.9%) infants; 63 (1.1%) of them received treatment. The mean GA of ROP patients was 29.4±2.4 weeks, and the mean BW was 1260±330 g. Greater prematurity was associated with an older PNA at which ROP developed. The minimum PMA and PNA at which diagnosis of treatable ROP occurred were 32.43 and 3 weeks, respectively. The optimised criteria (GA <32 weeks or BW <1600 g) correctly predicted 98.4% type 1 ROP infants, reducing the infants requiring examinations by 43.2% when internally validated.ConclusionsThe incidence of type 1 ROP and the mean GA and BW of ROP infants have decreased in China. The suggested screening threshold and schedule may be reliably used to guide the modification of ROP screening guideline and decrease medical costs.


2016 ◽  
Vol 22 (Suppl 2) ◽  
pp. A178.3-A178
Author(s):  
Llion Davies ◽  
Damon Berridge ◽  
Jane Lyons ◽  
Angharad Walters ◽  
Ronan A Lyons

2012 ◽  
Vol 59 (6) ◽  
pp. 770-776 ◽  
Author(s):  
Amit X. Garg ◽  
Jennie Pouget ◽  
Ann Young ◽  
Anjie Huang ◽  
Neil Boudville ◽  
...  

2006 ◽  
Vol 22 (3) ◽  
pp. 476-483 ◽  
Author(s):  
William D Leslie ◽  
James F Tsang ◽  
Patricia A Caetano ◽  
Lisa M Lix ◽  

2019 ◽  
Vol 35 (11) ◽  
pp. 1297-1301
Author(s):  
Antonio Paulo Nassar ◽  
Beatriz Nicolau Nassif ◽  
Daniel Vitório Veiga dos Santos ◽  
Pedro Caruso

Introduction: Previous studies have evaluated procalcitonin clearance (PCTc) as a marker of sepsis severity but at different time points and cutoffs. We aimed to assess the predictive performance of PCTc at different time points of sepsis management in patients with cancer. Methods: This retrospective cohort study included patients with cancer admitted to an intensive care unit between 2013 and 2016. We calculated PCTc at 24, 48, 72, and 96 hours after admission. Its predictive performance for hospital and 90-day mortality was analyzed with receiver operating characteristic curves and areas under the curves (AUCs). Sensitivity and specificity were calculated for different time points using different cutoffs. Results: We included 301 patients. Areas under the curves ranged from 0.62 for PCTc at 24 hours to 0.68 for PCTc at 72 and 96 hours for hospital mortality prediction, and from 0.61 for PCTc at 24 hours to 0.68 for PCTc at 72 hours for 90-day mortality prediction. For hospital mortality prediction, PCTc at 72 hours ≤80% showed the best sensitivity (96.0%; 95% confidence interval [CI]: 90.8%-98.7%), and PCTc at 96 hours ≤50% showed the best specificity (70.7%; 95% CI: 54.5%-83.9%). Conclusions: Procalcitonin clearance at 24, 48, 72, and 96 hours poorly predicted hospital and 90-day mortality. Therefore, daily PCT measurement should not be used to predict mortality for patients with cancer and sepsis.


Sign in / Sign up

Export Citation Format

Share Document