scholarly journals Peritoneal dialysis vs. hemodialysis: The choice of modality of dialysis may drastically affect the quality of life of patients initiating dialysis

Author(s):  
Deepa Daryani

A clinical decision report using Jung HY, Jeon Y, Park Y, et al. Better Quality of Life of Peritoneal Dialysis compared to Hemodialysis over a Two-year Period after Dialysis Initiation. Sci Rep. Jul 16 2019;9(1):10266. https://doi.org/10.1038/s41598-019-46744-1 for a young patient initiating dialysis.

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Hee-Yeon Jung ◽  
Yena Jeon ◽  
Yeongwoo Park ◽  
Yon Su Kim ◽  
Shin-Wook Kang ◽  
...  

Author(s):  
Albatool Almousa ◽  
Fai Almarshud ◽  
Razan Almasuood ◽  
Marya Alyahya ◽  
Chandra Kalevaru ◽  
...  

Nutrients ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 2115
Author(s):  
Panos Papandreou ◽  
Aristea Gioxari ◽  
Frantzeska Nimee ◽  
Maria Skouroliakou

Clinical decision support systems (CDSS) are data aggregation tools based on computer technology that assist clinicians to promote healthy weight management and prevention of cardiovascular diseases. We carried out a randomised controlled 3-month trial to implement lifestyle modifications in breast cancer (BC) patients by means of CDSS during the COVID-19 pandemic. In total, 55 BC women at stages I-IIIA were enrolled. They were randomly assigned either to Control group, receiving general lifestyle advice (n = 28) or the CDSS group (n = 27), to whom the CDSS provided personalised dietary plans based on the Mediterranean diet (MD) together with physical activity guidelines. Food data, anthropometry, blood markers and quality of life were evaluated. At 3 months, higher adherence to MD was recorded in the CDSS group, accompanied by lower body weight (kg) and body fat mass percentage compared to control (p < 0.001). In the CDSS arm, global health/quality of life was significantly improved at the trial endpoint (p < 0.05). Fasting blood glucose and lipid levels (i.e., cholesterol, LDL, triacylglycerols) of the CDSS arm remained unchanged (p > 0.05) but were elevated in the control arm at 3 months (p < 0.05). In conclusion, CDSS could be a promising tool to assist BC patients with lifestyle modifications during the COVID-19 pandemic.


2011 ◽  
Vol 16 (2) ◽  
pp. 198-206 ◽  
Author(s):  
Kultigin Turkmen ◽  
Raziye Yazici ◽  
Yalcin Solak ◽  
Ibrahim Guney ◽  
Lutfullah Altintepe ◽  
...  

2015 ◽  
Vol 37 (4) ◽  
Author(s):  
Fernanda Aguiar Gonçalves ◽  
Ingrid Fernandes Dalosso ◽  
Jéssica Maria Camargo Borba ◽  
Juliana Bucaneve ◽  
Nayra Maria Prado Valerio ◽  
...  

2000 ◽  
Vol 35 (2) ◽  
pp. 293-300 ◽  
Author(s):  
Jose A. Diaz-Buxo ◽  
Edmund G. Lowrie ◽  
Nancy L. Lew ◽  
Hongyuan Zhang ◽  
J.Michael Lazarus

2021 ◽  
Vol 21 (2) ◽  
pp. 5-17
Author(s):  
Anna Markella Antoniadi ◽  
Miriam Galvin ◽  
Mark Heverin ◽  
Orla Hardiman ◽  
Catherine Mooney

Amyotrophic Lateral Sclerosis (ALS) is a rare neurodegenerative disease that causes a rapid decline in motor functions and has a fatal trajectory. ALS is currently incurable, so the aim of the treatment is mostly to alleviate symptoms and improve quality of life (QoL) for the patients. The goal of this study is to develop a Clinical Decision Support System (CDSS) to alert clinicians when a patient is at risk of experiencing low QoL. The source of data was the Irish ALS Registry and interviews with the 90 patients and their primary informal caregiver at three time-points. In this dataset, there were two different scores to measure a person's overall QoL, based on the McGill QoL (MQoL) Questionnaire and we worked towards the prediction of both. We used Extreme Gradient Boosting (XGBoost) for the development of the predictive models, which was compared to a logistic regression baseline model. Additionally, we used Synthetic Minority Over-sampling Technique (SMOTE) to examine if that would increase model performance and SHAP (SHapley Additive explanations) as a technique to provide local and global explanations to the outputs as well as to select the most important features. The total calculated MQoL score was predicted accurately using three features - age at disease onset, ALSFRS-R score for orthopnoea and the caregiver's status pre-caregiving - with a F1-score on the test set equal to 0.81, recall of 0.78, and precision of 0.84. The addition of two extra features (caregiver's age and the ALSFRS-R score for speech) produced similar outcomes (F1-score 0.79, recall 0.70 and precision 0.90).


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