scholarly journals External Validation of a Risk Score for Major Toxicity Among Nonsteroidal Anti‐Inflammatory Drug Users: Real‐World Application

2020 ◽  
Vol 2 (5) ◽  
pp. 269-275
Author(s):  
Daniel H. Solomon ◽  
Nina P. Paynter ◽  
Hongshu Guan ◽  
Joel M. Kremer
Keyword(s):  
Risk Score ◽  
Real World ◽  
Drug Users ◽  
External Validation ◽  
Inflammatory Drug ◽  
Real World Application ◽  
Major Toxicity ◽  
Anti Inflammatory

scholarly journals Prediction of sustained biologic and targeted synthetic DMARD free remission in rheumatoid arthritis patients

2021 ◽  
Author(s):  
Theresa Burkard ◽  
Ross D Williams ◽  
Enriqueta Vallejo-Yagüe ◽  
Thomas Hügle ◽  
Axel Finckh ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Drug Use ◽  
External Validation ◽  
Penalized Regression ◽  
Validation Dataset ◽  
Sustained Remission ◽  
Forward Selection ◽  
Good Efficiency ◽  
Inflammatory Drug ◽  
Anti Inflammatory

Abstract Objectives To develop a prediction model of sustained remission following biologic or targeted synthetic disease modifying antirheumatic drug (b/tsDMARD) stop in rheumatoid arthritis (RA). Methods We conducted an explorative cohort study among b/tsDMARD RA treatment episodes courses stopped due to remission in the Swiss Clinical Quality Management registry (SCQM) [2008–2019]. The outcome was sustained b/tsDMARD free remission of ≥ 12 months. We applied logistic regression model selection algorithms using stepwise, forward, backward selection, and penalized regression to identify patient characteristics predictive of sustained b/tsDMARD free remission. We compared c-statistics corrected for optimism between models. The three models with highest c-statistics were validated in new SCQM data until 2020 (validation dataset). Results We identified 302 eligible episodes of which 177 episodes (59%) achieved sustained b/tsDMARD free remission. Two backward and one forward selection model with eight, four, and seven variables, respectively, obtained highest c-statistics corrected for optimism of c = 0·72, c = 0·70, and c = 0·69, respectively. In the validation dataset (47 eligible episodes), the models performed with c = 0·99, c = 0·80, and c = 0·74, respectively, and excellent calibration. The best model included the following 8 variables (measured at b/tsDMARD stop): RA duration, b/tsDMARD duration, other pain/anti-inflammatory drug use, quality of life (EuroQol), DAS28-erythrocyte sedimentation rate score, health assessment questionnaire (HAQ) score, education, and interactions of RA duration and other pain/anti-inflammatory drug use, and of b/tsDMARD duration and HAQ score. Conclusion Our results suggest that models with up to eight unique variables may predict sustained b/tsDMARD free remission with good efficiency. External validation is warranted.

Chronic Nonsteroidal Anti-Inflammatory Drug Users and Incidence of Endoscopically Documented Peptic Ulcer

2006 ◽  
Vol 63 (5) ◽  
pp. AB165
Author(s):  
Giorgio Talamini ◽  
Pietro Minuz ◽  
Benedetta Pajusco ◽  
Alessandro Lechi ◽  
Italo Vantini
Keyword(s):  
Peptic Ulcer ◽  
Drug Users ◽  
Inflammatory Drug ◽  
Anti Inflammatory

Risk factors for small bowel bleeding in chronic nonsteroidal anti-inflammatory drug users

2015 ◽  
Vol 16 (9) ◽  
pp. 499-504 ◽  
Author(s):  
Kyu-Man Cho ◽  
Seon-Young Park ◽  
Jin Ook Chung ◽  
Chung-Hwan Jun ◽  
Tae-Jong Kim ◽  
...  
Keyword(s):  
Risk Factors ◽  
Small Bowel ◽  
Drug Users ◽  
Inflammatory Drug ◽  
Anti Inflammatory ◽  
Small Bowel Bleeding

Dyspepsia in non-steroidal anti-inflammatory drug users and the effect of preventive measures

2018 ◽  
Vol 19 (6) ◽  
pp. 342-349
Author(s):  
Hooi Leng Lee ◽  
Siew Siang Chua ◽  
Sanjiv Mahadeva
Keyword(s):  
Drug Users ◽  
Preventive Measures ◽  
Inflammatory Drug ◽  
Anti Inflammatory
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