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- Klonoff, D. C., et al.
(författare)
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A Glycemia Risk Index (GRI) of Hypoglycemia and Hyperglycemia for Continuous Glucose Monitoring Validated by Clinician Ratings
- 2022
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Ingår i: Journal of Diabetes Science and Technology. - : SAGE Publications. - 1932-2968.
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Tidskriftsartikel (refereegranskat)abstract
- Background: A composite metric for the quality of glycemia from continuous glucose monitor (CGM) tracings could be useful for assisting with basic clinical interpretation of CGM data. Methods: We assembled a data set of 14-day CGM tracings from 225 insulin-treated adults with diabetes. Using a balanced incomplete block design, 330 clinicians who were highly experienced with CGM analysis and interpretation ranked the CGM tracings from best to worst quality of glycemia. We used principal component analysis and multiple regressions to develop a model to predict the clinician ranking based on seven standard metrics in an Ambulatory Glucose Profile: very low–glucose and low-glucose hypoglycemia; very high–glucose and high-glucose hyperglycemia; time in range; mean glucose; and coefficient of variation. Results: The analysis showed that clinician rankings depend on two components, one related to hypoglycemia that gives more weight to very low-glucose than to low-glucose and the other related to hyperglycemia that likewise gives greater weight to very high-glucose than to high-glucose. These two components should be calculated and displayed separately, but they can also be combined into a single Glycemia Risk Index (GRI) that corresponds closely to the clinician rankings of the overall quality of glycemia (r = 0.95). The GRI can be displayed graphically on a GRI Grid with the hypoglycemia component on the horizontal axis and the hyperglycemia component on the vertical axis. Diagonal lines divide the graph into five zones (quintiles) corresponding to the best (0th to 20th percentile) to worst (81st to 100th percentile) overall quality of glycemia. The GRI Grid enables users to track sequential changes within an individual over time and compare groups of individuals. Conclusion: The GRI is a single-number summary of the quality of glycemia. Its hypoglycemia and hyperglycemia components provide actionable scores and a graphical display (the GRI Grid) that can be used by clinicians and researchers to determine the glycemic effects of prescribed and investigational treatments.
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| 2. |
- Anderzen, J., et al.
(författare)
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International benchmarking in type 1 diabetes: Large difference in childhood HbA1c between eight high-income countries but similar rise during adolescence-A quality registry study
- 2020
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Ingår i: Pediatric Diabetes. - : Hindawi Limited. - 1399-543X .- 1399-5448. ; 21:4, s. 621-627
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Tidskriftsartikel (refereegranskat)abstract
- Objectives To identify differences and similarities in HbA1c levels and patterns regarding age and gender in eight high-income countries. Subjects 66 071 children and adolescents below18 years of age with type 1 diabetes for at least 3 months and at least one HbA1c measurement during the study period. Methods Pediatric Diabetes Quality Registry data from Austria, Denmark, England, Germany, Norway, Sweden, the United States, and Wales were collected between 2013 and 2014. HbA1c, gender, age, and duration were used in the analysis. Results Distribution of gender and age groups was similar in the eight participating countries. The mean HbA1c varied from 60 to 73 mmol/mol (7.6%-8.8%) between the countries. The increase in HbA1c between the youngest (0-9 years) to the oldest (15-17 years) age group was close to 8 mmol/mol (0.7%) in all countries (P < .001). Females had a 1 mmol/mol (0.1%) higher mean HbA1c than boys (P < .001) in seven out of eight countries. Conclusions In spite of large differences in the mean HbA1c between countries, a remarkable similarity in the increase of HbA1c from childhood to adolescence was found.
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| 3. |
- Rehg, J. M., et al.
(författare)
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Decoding children's social behavior
- 2013
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Ingår i: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). - : IEEE Computer Society. ; , s. 3414-3421
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Konferensbidrag (refereegranskat)abstract
- We introduce a new problem domain for activity recognition: the analysis of children's social and communicative behaviors based on video and audio data. We specifically target interactions between children aged 1-2 years and an adult. Such interactions arise naturally in the diagnosis and treatment of developmental disorders such as autism. We introduce a new publicly-available dataset containing over 160 sessions of a 3-5 minute child-adult interaction. In each session, the adult examiner followed a semi-structured play interaction protocol which was designed to elicit a broad range of social behaviors. We identify the key technical challenges in analyzing these behaviors, and describe methods for decoding the interactions. We present experimental results that demonstrate the potential of the dataset to drive interesting research questions, and show preliminary results for multi-modal activity recognition.
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| 7. |
- Gronberg, H, et al.
(författare)
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The risk-based STHLM3 model to improve prostate cancer testing in men 50-69 years: Further health, economic, and clinic evaluation
- 2016
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Ingår i: JOURNAL OF CLINICAL ONCOLOGY. - : American Society of Clinical Oncology (ASCO). - 0732-183X .- 1527-7755. ; 34:2
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- 36 Background: Prostate-specific antigen (PSA) is used to screen for prostate cancer but suffers from a high false-positive rate that translates into unnecessary prostate biopsies and over-diagnosis of low-risk prostate cancers. We aimed to develop a model for prostate cancer screening with better test characteristics than PSA. Methods: STHLM3 is a prospective, population-based, paired screen-positive diagnostic study. It investigates whether the predefined STHLM3 model, a combination of 6 plasma protein biomarkers (PSA, free-PSA, intact-PSA, HK2, MIC-1, and MSMB), genetic polymorphisms (232 SNPs), and clinical variables (age, family history, previous biopsies, DRE, and prostate volume) can substantially reduce the proportion of men biopsied while maintaining the same sensitivity to diagnose Gleason score ≥ 7 prostate cancer as PSA ≥3 ng/ml. In addition, a health economic evaluation was performed comparing the STHLM3 model with current clinical practice in Stockholm. Results: 58,818 men without prostate cancer aged 50-69, participated in the STHLM3 study, with 6,700 undergoing subsequent prostate biopsy. The STHLM3 model performed significantly better (p<0.001) than PSA for detecting GS ≥7 cancers, increasing the Area Under the Curve from 0.56 to 0.74. All variables used in the STHLM3 Model were significantly associated with Gleason score ≥7 prostate cancers (p<0.05) in a multiple logistic regression model. Using the same sensitivity as PSA ≥3 ng/ml to diagnose Gleason score ≥7 prostate cancer, the STHLM3 model reduced the number of biopsies by 32% (95% CI 24%-39%) and avoided 44% (95% CI; 35%-54%) of the negative biopsies. The number of Gleason score 6 cancers was reduced by 17% (95% CI; 7%-26%). Positive ICER for the STHLM3 model was seen in all models of the health economic analysis. Conclusions: The STHLM3 model reduces unnecessary biopsies without compromising the ability to diagnose Gleason score ≥7 prostate cancer in a cost-efficient way. This is a significant step towards personalized risk-based prostate cancer diagnostic programs. Clinical trial information: ISRCTN84445406.
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| 9. |
- Scott, E, et al.
(författare)
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Prostate cancer screening in men aged 50 to 69 years (STHLM3): A prospective population-based diagnostic study. Grönberg H, Adolfsson J, Aly M, Nordström T, Wiklund P, Brandberg Y, Thompson J, Wiklund F, Lindberg J, Clements M, Egevad L, Eklund M.Lancet Oncol. 2015 Dec;16(16):1667-76. [Epub 2015 Nov 10]. doi: 10.1016/S1470-2045(15)00361-7
- 2017
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Ingår i: Urologic oncology. - : Elsevier BV. - 1873-2496. ; 35:3, s. 120-
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Tidskriftsartikel (refereegranskat)
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