scholarly journals Construction, internal validation and implementation in a mobile application of a scoring system to predict nonadherence to proton pump inhibitors

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3455 ◽  
Author(s):  
Emma Mares-García ◽  
Antonio Palazón-Bru ◽  
David Manuel Folgado-de la Rosa ◽  
Avelino Pereira-Expósito ◽  
Álvaro Martínez-Martín ◽  
...  
Keyword(s):  
Proton Pump Inhibitors ◽  
Proton Pump ◽  
Mobile Application ◽  
External Validation ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Internal Validation ◽  
Primary Variable ◽  
Bootstrap Validation

Background Other studies have assessed nonadherence to proton pump inhibitors (PPIs), but none has developed a screening test for its detection. Objectives To construct and internally validate a predictive model for nonadherence to PPIs. Methods This prospective observational study with a one-month follow-up was carried out in 2013 in Spain, and included 302 patients with a prescription for PPIs. The primary variable was nonadherence to PPIs (pill count). Secondary variables were gender, age, antidepressants, type of PPI, non-guideline-recommended prescription (NGRP) of PPIs, and total number of drugs. With the secondary variables, a binary logistic regression model to predict nonadherence was constructed and adapted to a points system. The ROC curve, with its area (AUC), was calculated and the optimal cut-off point was established. The points system was internally validated through 1,000 bootstrap samples and implemented in a mobile application (Android). Results The points system had three prognostic variables: total number of drugs, NGRP of PPIs, and antidepressants. The AUC was 0.87 (95% CI [0.83–0.91], p < 0.001). The test yielded a sensitivity of 0.80 (95% CI [0.70–0.87]) and a specificity of 0.82 (95% CI [0.76–0.87]). The three parameters were very similar in the bootstrap validation. Conclusions A points system to predict nonadherence to PPIs has been constructed, internally validated and implemented in a mobile application. Provided similar results are obtained in external validation studies, we will have a screening tool to detect nonadherence to PPIs.

scholarly journals Automatized Hepatic Tumor Volume Analysis of Neuroendocrine Liver Metastases by Gd-EOB MRI—A Deep-Learning Model to Support Multidisciplinary Cancer Conference Decision-Making

Cancers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2726
Author(s):  
Uli Fehrenbach ◽  
Siyi Xin ◽  
Alexander Hartenstein ◽  
Timo Alexander Auer ◽  
Franziska Dräger ◽  
...  
Keyword(s):  
Liver Metastases ◽  
External Validation ◽  
High Accuracy ◽  
Hepatic Tumor ◽  
Liver Malignancies ◽  
Internal Validation ◽  
Matthew’S Correlation Coefficient ◽  
Therapy Success ◽  
Neuroendocrine Liver Metastases

Background: Rapid quantification of liver metastasis for diagnosis and follow-up is an unmet medical need in patients with secondary liver malignancies. We present a 3D-quantification model of neuroendocrine liver metastases (NELM) using gadoxetic-acid (Gd-EOB)-enhanced MRI as a useful tool for multidisciplinary cancer conferences (MCC). Methods: Manual 3D-segmentations of NELM and livers (149 patients in 278 Gd-EOB MRI scans) were used to train a neural network (U-Net architecture). Clinical usefulness was evaluated in another 33 patients who were discussed in our MCC and received a Gd-EOB MRI both at baseline and follow-up examination (n = 66) over 12 months. Model measurements (NELM volume; hepatic tumor load (HTL)) with corresponding absolute (ΔabsNELM; ΔabsHTL) and relative changes (ΔrelNELM; ΔrelHTL) between baseline and follow-up were compared to MCC decisions (therapy success/failure). Results: Internal validation of the model’s accuracy showed a high overlap for NELM and livers (Matthew’s correlation coefficient (φ): 0.76/0.95, respectively) with higher φ in larger NELM volume (φ = 0.80 vs. 0.71; p = 0.003). External validation confirmed the high accuracy for NELM (φ = 0.86) and livers (φ = 0.96). MCC decisions were significantly differentiated by all response variables (ΔabsNELM; ΔabsHTL; ΔrelNELM; ΔrelHTL) (p < 0.001). ΔrelNELM and ΔrelHTL showed optimal discrimination between therapy success or failure (AUC: 1.000; p < 0.001). Conclusion: The model shows high accuracy in 3D-quantification of NELM and HTL in Gd-EOB-MRI. The model’s measurements correlated well with MCC’s evaluation of therapeutic response.

scholarly journals What Is the Optimal Follow-up Time to Ascertain the Safety of Proton Pump Inhibitors?

2020 ◽  
Vol 158 (4) ◽  
pp. 1175 ◽  
Author(s):  
Giuseppe Losurdo ◽  
Alfredo Di Leo ◽  
Gioacchino Leandro
Keyword(s):  
Proton Pump Inhibitors ◽  
Proton Pump

scholarly journals Persistence of Fatigue among COVID-19 Survivors in Bangladesh: A Two-month after Follow-up Study

2021 ◽  
Vol 33 (1) ◽  
pp. 57-63
Author(s):  
Md Khairul Islam ◽  
Mohammad Murad Hossain ◽  
Md Monowar Hossain ◽  
Md Mohiuddin Sharif ◽  
Fahima Sharmin Hossain ◽  
...  
Keyword(s):  
Logistic Regression Model ◽  
Telephone Interview ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Follow Up Study ◽  
Laboratory Markers ◽  
Study Participants ◽  
Prevalent Symptom ◽  
D Dimer

Background: A limited number of studies have exclusively assessed fatigue among post-COVID patients. Our study aimed to assess the persistence and associations of fatigue among COVID-19 survivors after two months of recovery from their primary illness. Methods: During hospital admission from August to September, 2020, a total of 400 patients were diagnosed to be suffering from fatigue using Chalder fatigue scale. After obtaining informed written consent, patients were followed up two months later over telephone. A total of 332 participants participated in the interview (63 patients could not be traced and another 5 patient died within two months). Patients were asked to categorize their present fatigue condition based on a simplified questionnaire developed for telephone interview. Results: Among study participants, 62.9% (n=207) were found to be still suffering from fatigue two months after their hospital discharge. A significant association of fatigue was found with age (p=0.000), hypertension (RR: 1.51; CI: 1.15-1.99; p=0.002), diabetes mellitus (RR: 1.45; CI: 1.08-1.95; p=0.010), ischemic heart disease (RR: 2.04; CI: 1.15-3.64; p=0.011), on admission SpO2 (p=0.000), on admission serum ferritin (p=0.000), d-dimer (p=0.000), CRP (p=0.000), and Hb% (p=0.019). Binary logistic regression model revealed significant association of age and onadmission SpO2 with persistence of fatigue. Conclusions: Fatigue is a highly prevalent symptom among the COVID-19 survivors with significant association between fatigue and patients clinical and laboratory markers. Bangladesh J Medicine July 2022; 33(1) : 57-63

A Prospective Study of Clinical Outcomes in Laryngopharyngeal Reflux Diseases Following Treatment with Proton Pump Inhibitors in a Tertiary Care Hospital in Kerala

2021 ◽  
Vol 8 (28) ◽  
pp. 2538-2543
Author(s):  
Binu Raju George ◽  
Ajayan P.V ◽  
Saify Samad
Keyword(s):  
Proton Pump Inhibitors ◽  
Proton Pump ◽  
Laryngopharyngeal Reflux ◽  
Cost Effective ◽  
Reflux Symptom ◽  
P Value ◽  
Reflux Symptom Index ◽  
Symptom Index ◽  
A Prospective Study

BACKGROUND Laryngopharyngeal reflux (LPR) is found to be a common disease encountered in Otolaryngology practice. LPR presents clinically with symptoms of laryngeal irritation, frequent throat clearing, cough, and hoarseness of voice. The main diagnostic methods currently used are Fiber-optic laryngoscopy and in some centers pH monitoring. Proton pump inhibitors (PPIs) are used and found to be cost-effective and useful for the treatment of LPR. The main objective of this study was to study the effectiveness of PPIs in alleviating the symptoms assessed using Reflux Symptom Index (RSI) score and Reflux Finding Scores (RFS). METHODS A prospective study was carried out on 100 patients attending the ENT OPD of Government Medical College and Hospital, Thrissur, Kerala. Patients were evaluated for improvement in symptoms of Laryngopharyngeal reflux disease following use of proton pump inhibitors, using Reflux symptom index and Reflux finding scores using 70 degree / flexible nasopharyngolaryngoscopy. Patients with clinical findings of LPRD with RSI score > 13 and RFS score > 7 were given a standard treatment protocol followed in our ENT department using Tab. Pantoprazole 40 mg twice daily before food and the treatment response was assessed by proper follow up at 6 weeks and 12 weeks. On each follow up visit, improvement in RSI and RFS scores with Proton pump inhibitor therapy was assessed. Data collected was then tabulated and analysed. RESULTS The study was conducted in 100 patients, 59 % of whom were females and 41 % males. Mean RSI score changed from 18.9 at the beginning to 14.5 at 6 weeks of treatment and 9.0 at 12 weeks of treatment with Proton pump inhibitor. Mean RFS score changed from 10.7 at the beginning to 8.7 at 6 weeks of treatment and to 5.9 at 12 weeks of treatment. Comparison of mean Reflux Symptom Index and mean Reflux Finding Scores before and after treatment revealed improvement and the result was statistically significant (p value < 0.001). CONCLUSIONS The use of RSI and RFS scores in the assessment of PPIs at fixed intervals is cost effective and avoids time consuming and cost intensive examinations. These scores also help in early diagnosis and long term follow up of LPR patient. Fixed time interval PPI treatment significantly improved RSI and RFS scores in LPR patients. The mean RSI score changed from 18.9 at the beginning of treatment to 14.5 at 6 weeks after treatment (p value < 0.001) and 9.0 after 12 weeks of treatment; (p value < 0.001) The mean RFS score changed from 10.7 at the beginning of treatment to 8.7 at 6 weeks after treatment (p value < 0.001) and 5.9 after 12 weeks of treatment; (p value < 0.001). KEYWORDS Laryngopharyngeal Reflux, Reflux Symptom Index, Reflux Finding Score

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