scholarly journals Islet autoantibody markers in IDDM: risk assessment strategies yielding high sensitivity

Diabetologia ◽  
1995 ◽  
Vol 38 (7) ◽  
pp. 816-822 ◽  
Author(s):  
E. Bonifacio ◽  
S. Genovese ◽  
S. Braghi ◽  
E. Bazzigaluppi ◽  
Y. Lampasona ◽  
...  
Nutrients ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 1061
Author(s):  
Roma Krzymińska-Siemaszko ◽  
Ewa Deskur-Śmielecka ◽  
Arkadiusz Styszyński ◽  
Katarzyna Wieczorowska-Tobis

A simple, short, cheap, and reasonably sensitive and specific screening tool assessing both nutritional and non-nutritional risk factors for sarcopenia is needed. Potentially, such a tool may be the Mini Sarcopenia Risk Assessment (MSRA) Questionnaire, which is available in a seven-item (MSRA-7) and five-item (MSRA-5) version. The study’s aim was Polish translation and validation of both MSRA versions in 160 volunteers aged ≥60 years. MSRA was validated against the six sets of international diagnostic criteria for sarcopenia used as the reference standards. PL-MSRA-7 and PL-MSRA-5 both had high sensitivity (≥84.9%), regardless of the reference standard. The PL-MSRA-5 had better specificity (44.7–47.2%) than the PL-MSRA-7 (33.1–34.7%). Both questionnaires had similarly low positive predictive value (PL-MSRA-5: 17.9–29.5%; PL-MSRA-7: 14.4–25.2%). The negative predictive value was generally high for both questionnaires (PL-MSRA-7: 89.8–95.9%; PL-MSRA-5: 92.3–98.5%). PL-MSRA-5 had higher accuracy than the PL-MSRA-7 (50.0–55% vs. 39.4–45%, respectively). Based on the results, the Mini Sarcopenia Risk Assessment questionnaire was successfully adopted to the Polish language and validated in community-dwelling older adults from Poland. When compared with PL-MSRA-7, PL-MSRA-5 is a better tool for sarcopenia risk assessment.


Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4313 ◽  
Author(s):  
Xunjia Zheng ◽  
Di Zhang ◽  
Hongbo Gao ◽  
Zhiguo Zhao ◽  
Heye Huang ◽  
...  

Over the past decades, there has been significant research effort dedicated to the development of intelligent vehicles and V2X systems. This paper proposes a road traffic risk assessment method for road traffic accident prevention of intelligent vehicles. This method is based on HMM (Hidden Markov Model) and is applied to the prediction of steering angle status to (1) evaluate the probabilities of the steering angle in each independent interval and (2) calculate the road traffic risk in different analysis regions. According to the model, the road traffic risk is quantified and presented directly in a visual form by the time-varying risk map, to ensure the accuracy of assessment and prediction. Experiment results are presented, and the results show the effectiveness of the assessment strategies.


2019 ◽  
Vol 28 (5) ◽  
pp. 278-282 ◽  
Author(s):  
Glenn Smith

Objective: An in-practice evaluation of an sub-epidermal moisture (SEM) scanner, to detect non-visible pressure damage, allowing appropriate, targeted pressure ulcer (PU) prevention interventions. Method: The evaluation included patients on a single medical-surgical ward over a period of two months. Results: The evaluation included 35 patients. The outcomes of the evaluation suggest that the SEM scanner provided objective evidence that both the interventions being employed and the increase in repositioning and assessment prevented further incipient skin damage. Conclusion: We conclude that the early detection of non-visible tissue injury using the SEM scanner as an adjunct to the usual PU risk assessment strategies can reduce PU incidence, leading to improved patient outcomes and released productivity.


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