LIVIVO - Search results -

Search results

Result 1 - 10 of total 29

Search options

Article ; Online: Predicting hemoglobinopathies using ChatGPT.

Kurstjens, Steef / Schipper, Anoeska / Krabbe, Johannes / Kusters, Ron

Clinical chemistry and laboratory medicine

2023 Volume 62, Issue 3, Page(s) e59–e61

Language	English
Publishing date	2023-08-29
Publishing country	Germany
Document type	Letter
ZDB-ID	1418007-8
ISSN	1437-4331 ; 1434-6621 ; 1437-8523
ISSN (online)	1437-4331
ISSN	1434-6621 ; 1437-8523
DOI	10.1515/cclm-2023-0885
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 121: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: Discrepancies in corrected calcium versus ionised calcium in a geriatric population: an observational study.

Suryapranata, Alexandra P S P / Keijsers, Carolina J P W / Kurstjens, Steef / Van Strien, Astrid M

Age and ageing

2024 Volume 53, Issue 4

Abstract: Background: Calcium can be measured as ionised (Ca-ionised) or albumin-adjusted total calcium (Ca-albumin). Current clinical guidelines predominantly utilise Ca-albumin, despite Ca-ionised being the gold standard. Discrepancies can occur between these ... ...

Abstract	Background: Calcium can be measured as ionised (Ca-ionised) or albumin-adjusted total calcium (Ca-albumin). Current clinical guidelines predominantly utilise Ca-albumin, despite Ca-ionised being the gold standard. Discrepancies can occur between these measurement modalities and can lead to clinical dilemmas. It remains unclear how large these discrepancies are in older patients. This study investigated the discrepancies between Ca-ionised and Ca-albumin in geriatric patients. Methods: This is an observational study of all geriatric patients (n = 876) in the Jeroen Bosch Hospital (January 2018 and January 2021) in whom both Ca-ionised and Ca-albumin were measured. Misclassification of calcaemic state (i.e. low, normal or high) was calculated (percentages), the measure of agreement was described using Cohen's Kappa and for the continuous data Pearson's correlation coefficient was used. Relevant categories of age and renal function were considered for effect modification effects and studied by interaction terms in a regression model. Results: In one-third of the measurements, there was a misclassification. Ca-albumin measurements failed to identify 28% of hypocalcaemia. In 3.5%, hypercalcemia based on Ca-albumin was not confirmed by Ca-ionised. The correlation coefficient between Ca-ionised and Ca-albumin was 0.743 (P = 0.01) and measure of agreement by Kappa was 0.213 (P < 0.001). In the oldest old (≥ 85 years) and patients with eGFR <30 ml/min/1.73 m2 ,the agreement by Kappa was lower, with values of 0.192 and 0.104, respectively. Conclusion: There is a discrepancy between Ca-albumin and Ca-ionised in one-third of the geriatric patients, leading to clinical dilemmas. In the oldest old and patients with renal dysfunction, this problem is most pronounced.
MeSH term(s)	Aged, 80 and over ; Humans ; Aged ; Calcium ; Hypercalcemia/diagnosis ; Albumins ; Hospitals
Chemical Substances	Calcium (SY7Q814VUP) ; Albumins
Language	English
Publishing date	2024-04-12
Publishing country	England
Document type	Observational Study ; Journal Article
ZDB-ID	186788-x
ISSN	1468-2834 ; 0002-0729
ISSN (online)	1468-2834
ISSN	0002-0729
DOI	10.1093/ageing/afae072
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 877: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (1.OG) ab Jg. 2022: Lesesaal (EG)
Zs.MO 448: Show issues

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: Validation of the Hem-Col capillary blood collection system for routine laboratory analyses.

Kurstjens, Steef / den Besten, Marjon J / van Dartel, Dorien A M / van Gend, Marloes C C / Meerts, Lizzy / Hoedemakers, Rein M J

Scandinavian journal of clinical and laboratory investigation

2024 Volume 83, Issue 8, Page(s) 604–607

Abstract: At home collection of capillary blood using Hem-Col tubes (Labonovum) could offer a solution to patients with chronic conditions, who require frequent laboratory analyses. The collection tubes contain a conservation buffer to stabilize analytes for up to ...

Abstract	At home collection of capillary blood using Hem-Col tubes (Labonovum) could offer a solution to patients with chronic conditions, who require frequent laboratory analyses. The collection tubes contain a conservation buffer to stabilize analytes for up to 5 days. In this validation study it was investigated whether analytes are measured accurately in Hem-Col tubes 5 days after collection. Forty-six healthy volunteers donated blood via venepuncture as well as capillary blood by finger prick using Hem-Col tubes. The analytes were measured within 2 h for the venepuncture and after 120 h for the Hem-Col method. The results of each analyte were analysed using Passing-Bablok regression analyses. The analytes that met the predefined acceptance criteria were total cholesterol, LDL-cholesterol, thyroid stimulating hormone (TSH) and glycated haemoglobin (HbA1c). HDL-cholesterol, C-reactive protein (CRP), ferritin, bilirubin total, creatinine, gGT and triglycerides met two out of three acceptance criteria. All other analytes did not meet the predefined criteria. The Hem-Col method is suitable for the measurement of total cholesterol, LDL-cholesterol, thyroid stimulating hormone (TSH) and glycated haemoglobin (HbA1c). However, due to this limited set of valid tests and practical limitations, routine application of this novel collection system in daily practice is limited.
MeSH term(s)	Humans ; Glycated Hemoglobin ; Cholesterol, LDL ; Blood Specimen Collection/methods ; Triglycerides ; Thyrotropin
Chemical Substances	Glycated Hemoglobin ; Cholesterol, LDL ; Triglycerides ; Thyrotropin (9002-71-5)
Language	English
Publishing date	2024-01-24
Publishing country	England
Document type	Journal Article
ZDB-ID	3150-1
ISSN	1502-7686 ; 0036-5513
ISSN (online)	1502-7686
ISSN	0036-5513
DOI	10.1080/00365513.2024.2301779
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Ud II Zs.150: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: In reply.

Berg, Hidde Ten / van Bakel, Bram / van de Wouw, Lieke / Jie, Kim E / Schipper, Anoeska / Jansen, Henry / O'Connor, Rory D / van Ginneken, Bram / Kurstjens, Steef

Annals of emergency medicine

2023 Volume 83, Issue 3, Page(s) 287–288

Language	English
Publishing date	2023-12-13
Publishing country	United States
Document type	Letter
ZDB-ID	603080-4
ISSN	1097-6760 ; 0196-0644
ISSN (online)	1097-6760
ISSN	0196-0644
DOI	10.1016/j.annemergmed.2023.10.007
Database	MEDical Literature Analysis and Retrieval System OnLINE

Full text online

Accessible to users with ZB MED library card

In stock of ZB MED Cologne/Königswinter

Zs.A 1344: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾

Article ; Online: ChatGPT and Generating a Differential Diagnosis Early in an Emergency Department Presentation.

Berg, Hidde Ten / van Bakel, Bram / van de Wouw, Lieke / Jie, Kim E / Schipper, Anoeska / Jansen, Henry / O'Connor, Rory D / van Ginneken, Bram / Kurstjens, Steef

Annals of emergency medicine

2023 Volume 83, Issue 1, Page(s) 83–86

MeSH term(s)	Humans ; Diagnosis, Differential ; Artificial Intelligence ; Emergency Service, Hospital
Language	English
Publishing date	2023-09-09
Publishing country	United States
Document type	Journal Article
ZDB-ID	603080-4
ISSN	1097-6760 ; 0196-0644
ISSN (online)	1097-6760
ISSN	0196-0644
DOI	10.1016/j.annemergmed.2023.08.003
Database	MEDical Literature Analysis and Retrieval System OnLINE

Full text online

Accessible to users with ZB MED library card

In stock of ZB MED Cologne/Königswinter

Zs.A 1344: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾

Article: Magnesium increases insulin-dependent glucose uptake in adipocytes.

Oost, Lynette J / Kurstjens, Steef / Ma, Chao / Hoenderop, Joost G J / Tack, Cees J / de Baaij, Jeroen H F

Frontiers in endocrinology

2022 Volume 13, Page(s) 986616

Abstract: Background: Type 2 diabetes (T2D) is characterized by a decreased insulin sensitivity. Magnesium (Mg: Methods: First, the association of low plasma Mg: Results: In people with T2D, plasma Mg: Conclusions: ... ...

Abstract	Background: Type 2 diabetes (T2D) is characterized by a decreased insulin sensitivity. Magnesium (Mg Methods: First, the association of low plasma Mg Results: In people with T2D, plasma Mg Conclusions: Mg
MeSH term(s)	Adipocytes/metabolism ; Diabetes Mellitus, Type 2/metabolism ; Glucose/metabolism ; Humans ; Insulin/metabolism ; Insulin/pharmacology ; Insulin Resistance ; Magnesium ; Proto-Oncogene Proteins c-akt/metabolism ; Receptor, Insulin/metabolism
Chemical Substances	Insulin ; Receptor, Insulin (EC 2.7.10.1) ; Proto-Oncogene Proteins c-akt (EC 2.7.11.1) ; Magnesium (I38ZP9992A) ; Glucose (IY9XDZ35W2)
Language	English
Publishing date	2022-08-25
Publishing country	Switzerland
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2592084-4
ISSN	1664-2392
ISSN	1664-2392
DOI	10.3389/fendo.2022.986616
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article ; Online: Automated prediction of low ferritin concentrations using a machine learning algorithm.

Kurstjens, Steef / de Bel, Thomas / van der Horst, Armando / Kusters, Ron / Krabbe, Johannes / van Balveren, Jasmijn

Clinical chemistry and laboratory medicine

2022 Volume 60, Issue 12, Page(s) 1921–1928

Abstract: Objectives: Computational algorithms for the interpretation of laboratory test results can support physicians and specialists in laboratory medicine. The aim of this study was to develop, implement and evaluate a machine learning algorithm that ... ...

Abstract	Objectives: Computational algorithms for the interpretation of laboratory test results can support physicians and specialists in laboratory medicine. The aim of this study was to develop, implement and evaluate a machine learning algorithm that automatically assesses the risk of low body iron storage, reflected by low ferritin plasma levels, in anemic primary care patients using a minimal set of basic laboratory tests, namely complete blood count and C-reactive protein (CRP). Methods: Laboratory measurements of anemic primary care patients were used to develop and validate a machine learning algorithm. The performance of the algorithm was compared to twelve specialists in laboratory medicine from three large teaching hospitals, who predicted if patients with anemia have low ferritin levels based on laboratory test reports (complete blood count and CRP). In a second round of assessments the algorithm outcome was provided to the specialists in laboratory medicine as a decision support tool. Results: Two separate algorithms to predict low ferritin concentrations were developed based on two different chemistry analyzers, with an area under the curve of the ROC of 0.92 (Siemens) and 0.90 (Roche). The specialists in laboratory medicine were less accurate in predicting low ferritin concentrations compared to the algorithms, even when knowing the output of the algorithms as support tool. Implementation of the algorithm in the laboratory system resulted in one new iron deficiency diagnosis on average per day. Conclusions: Low ferritin levels in anemic patients can be accurately predicted using a machine learning algorithm based on routine laboratory test results. Moreover, implementation of the algorithm in the laboratory system reduces the number of otherwise unrecognized iron deficiencies.
MeSH term(s)	Humans ; Machine Learning ; Algorithms ; Iron Deficiencies ; Anemia/diagnosis ; C-Reactive Protein ; Ferritins
Chemical Substances	C-Reactive Protein (9007-41-4) ; Ferritins (9007-73-2)
Language	English
Publishing date	2022-03-08
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1418007-8
ISSN	1437-4331 ; 1434-6621 ; 1437-8523
ISSN (online)	1437-4331
ISSN	1434-6621 ; 1437-8523
DOI	10.1515/cclm-2021-1194
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 121: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: Performance of commercially-available cholesterol self-tests.

Kurstjens, Steef / Gemen, Eugenie / Walk, Selina / Njo, Tjin / Krabbe, Johannes / Gijzen, Karlijn / Elisen, Marc Glm / Kusters, Ron

Annals of clinical biochemistry

2021 Volume 58, Issue 4, Page(s) 289–296

Abstract: Background: Hypercholesterolemia (plasma cholesterol concentration ≥5.2 mmol/L) is a risk factor for cardiovascular disease and stroke. Many different cholesterol self-tests are readily available at general stores, pharmacies and web shops. However, ... ...

Abstract	Background: Hypercholesterolemia (plasma cholesterol concentration ≥5.2 mmol/L) is a risk factor for cardiovascular disease and stroke. Many different cholesterol self-tests are readily available at general stores, pharmacies and web shops. However, there is limited information on their analytical and diagnostic performance. Methods: We included 62 adult patients who required a lipid panel measurement (cholesterol, high-density lipoprotein (HDL), triglycerides and LDL Results: The average plasma cholesterol concentration was 5.2 ± 1.2 mmol/L. The mean absolute relative difference (MARD) of the five cholesterol self-tests ranged from 6 ± 5% (
MeSH term(s)	Adult ; Cardiovascular Diseases/blood ; Cholesterol/blood ; Cholesterol, HDL/blood ; Humans ; Hypercholesterolemia/blood ; Lipids/blood ; Predictive Value of Tests ; Regression Analysis ; Reproducibility of Results ; Risk Factors ; Self-Testing ; Sensitivity and Specificity ; Specimen Handling ; Triglycerides/blood
Chemical Substances	Cholesterol, HDL ; Lipids ; Triglycerides ; Cholesterol (97C5T2UQ7J)
Language	English
Publishing date	2021-02-17
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	390309-6
ISSN	1758-1001 ; 0004-5632
ISSN (online)	1758-1001
ISSN	0004-5632
DOI	10.1177/0004563221992393
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 889: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: Deep learning with robustness to missing data: A novel approach to the detection of COVID-19.

Çallı, Erdi / Murphy, Keelin / Kurstjens, Steef / Samson, Tijs / Herpers, Robert / Smits, Henk / Rutten, Matthieu / van Ginneken, Bram

PloS one

2021 Volume 16, Issue 7, Page(s) e0255301

Abstract: In the context of the current global pandemic and the limitations of the RT-PCR test, we propose a novel deep learning architecture, DFCN (Denoising Fully Connected Network). Since medical facilities around the world differ enormously in what laboratory ... ...

Abstract	In the context of the current global pandemic and the limitations of the RT-PCR test, we propose a novel deep learning architecture, DFCN (Denoising Fully Connected Network). Since medical facilities around the world differ enormously in what laboratory tests or chest imaging may be available, DFCN is designed to be robust to missing input data. An ablation study extensively evaluates the performance benefits of the DFCN as well as its robustness to missing inputs. Data from 1088 patients with confirmed RT-PCR results are obtained from two independent medical facilities. The data includes results from 27 laboratory tests and a chest x-ray scored by a deep learning model. Training and test datasets are taken from different medical facilities. Data is made publicly available. The performance of DFCN in predicting the RT-PCR result is compared with 3 related architectures as well as a Random Forest baseline. All models are trained with varying levels of masked input data to encourage robustness to missing inputs. Missing data is simulated at test time by masking inputs randomly. DFCN outperforms all other models with statistical significance using random subsets of input data with 2-27 available inputs. When all 28 inputs are available DFCN obtains an AUC of 0.924, higher than any other model. Furthermore, with clinically meaningful subsets of parameters consisting of just 6 and 7 inputs respectively, DFCN achieves higher AUCs than any other model, with values of 0.909 and 0.919.
MeSH term(s)	COVID-19/diagnosis ; COVID-19 Nucleic Acid Testing ; Databases, Factual ; Deep Learning ; Humans ; Models, Theoretical ; Random Allocation ; SARS-CoV-2
Language	English
Publishing date	2021-07-30
Publishing country	United States
Document type	Journal Article ; Multicenter Study ; Research Support, Non-U.S. Gov't
ZDB-ID	2267670-3
ISSN	1932-6203 ; 1932-6203
ISSN (online)	1932-6203
ISSN	1932-6203
DOI	10.1371/journal.pone.0255301
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article ; Online: Deep learning with robustness to missing data

Erdi Çallı / Keelin Murphy / Steef Kurstjens / Tijs Samson / Robert Herpers / Henk Smits / Matthieu Rutten / Bram van Ginneken

PLoS ONE, Vol 16, Iss 7, p e

A novel approach to the detection of COVID-19.

2021 Volume 0255301

Abstract	In the context of the current global pandemic and the limitations of the RT-PCR test, we propose a novel deep learning architecture, DFCN (Denoising Fully Connected Network). Since medical facilities around the world differ enormously in what laboratory tests or chest imaging may be available, DFCN is designed to be robust to missing input data. An ablation study extensively evaluates the performance benefits of the DFCN as well as its robustness to missing inputs. Data from 1088 patients with confirmed RT-PCR results are obtained from two independent medical facilities. The data includes results from 27 laboratory tests and a chest x-ray scored by a deep learning model. Training and test datasets are taken from different medical facilities. Data is made publicly available. The performance of DFCN in predicting the RT-PCR result is compared with 3 related architectures as well as a Random Forest baseline. All models are trained with varying levels of masked input data to encourage robustness to missing inputs. Missing data is simulated at test time by masking inputs randomly. DFCN outperforms all other models with statistical significance using random subsets of input data with 2-27 available inputs. When all 28 inputs are available DFCN obtains an AUC of 0.924, higher than any other model. Furthermore, with clinically meaningful subsets of parameters consisting of just 6 and 7 inputs respectively, DFCN achieves higher AUCs than any other model, with values of 0.909 and 0.919.
Keywords	Medicine ; R ; Science ; Q
Subject code	006
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

To top

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

Full text online

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

Full text online

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

Order via subito

Full text online

More links

Kategorien

Inter-library loan at ZB MED