Anette Hvenegaard Kjeldgaard
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Anette Hvenegaard Kjeldgaard has a total of 25 co-authors. Here are the top co-authors by number of shared publications:
- Jette Primdahl
Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
2 shared publications - Kim Hørslev-Petersen
Department of Regional Health Research, University of Southern Denmark, Region of Southern, Denmark, Denmark
2 shared publications - Sonja Wehberg
Research Unit of General Practice, Department of Public Health, University of Southern Denmark, Odense, Denmark
2 shared publications - Anders Dupont Børglum
Department of Biomedicine, Aarhus University, Aarhus, Denmark
1 shared publication - Anja Bachmann1 shared publication
- Anja Olsen
Department of Public Health, Aarhus University, Aarhus, Denmark
1 shared publication
Latest Publications
- Open Access
- 30 May 2026
- Published by Elsevier in EULAR Rheumatology Open
- Vol. 2 (3)
Changes in cardiovascular risk factors in patients with inflammatory arthritis following screening consultations—a Danish register-based cohort study
- 30 May 2026
- Published by Elsevier in EULAR Rheumatology Open
- Vol. 2 (3)
Open AccessChanges in cardiovascular risk factors in patients with inflammatory arthritis following screening consultations—a Danish register-based cohort study
- Open Access
Does socioeconomic status make a difference? A register-based study on the extent to which cardiovascular screening in patients with inflammatory arthritis leads to recommended follow-up in general practice
Objective To investigate to what extent patients with inflammatory arthritis (IA) follow recommendations given in a secondary care nurse-led cardiovascular (CV) risk screening consultation to consult their general practitioner (GP) to reduce their CV risk and whether their socioeconomic status (SES) affects adherence. Methods Adults with IA who had participated in a secondary care screening consultation from July 2012 to July 2015, based on the EULAR recommendations, were identified. Patients were considered to have high CV risk if they had risk Systematic COronary Risk Evaluation (SCORE) ≥5%, according to the European SCORE model or systolic blood pressure ≥145 mmHg, total cholesterol ≥8 mmol/L, LDL cholesterol ≥5 mmol/L, HbA1c ≥42 mmol/mol or fasting glucose ≥6 mmol/L. The primary outcome was a consultation with their GP and at least one action focusing on CV risk factors within 6 weeks after the screening consultation. Results The study comprised 1265 patients, aged 18–85 years. Of these, 336/447 (75%) of the high-risk patients and 580/819 (71%) of the low-risk patients had a GP consultation. 127/336 (38%) of high-risk patients and 160/580 (28%) of low-risk patients received relevant actions related to their CV risk, for example, blood pressure home measurement or prescription for statins, antihypertensives or antidiabetics. Education ≥10 years increased the odds for non-adherence (OR 0.58, 95% CI 0.0.37 to 0.92, p=0.02). Conclusions 75% of the high-risk patients consulted their GP after the secondary care CV risk screening, and 38% of these received an action relevant for their CV risk. Higher education decreased adherence.
Open AccessDoes socioeconomic status make a difference? A register-based study on the extent to which cardiovascular screening in patients with inflammatory arthritis leads to recommended follow-up in general practice
Objective To investigate to what extent patients with inflammatory arthritis (IA) follow recommendations given in a secondary care nurse-led cardiovascular (CV) risk screening consultation to consult their general practitioner (GP) to reduce their CV risk and whether their socioeconomic status (SES) affects adherence. Methods Adults with IA who had participated in a secondary care screening consultation from July 2012 to July 2015, based on the EULAR recommendations, were identified. Patients were considered to have high CV risk if they had risk Systematic COronary Risk Evaluation (SCORE) ≥5%, according to the European SCORE model or systolic blood pressure ≥145 mmHg, total cholesterol ≥8 mmol/L, LDL cholesterol ≥5 mmol/L, HbA1c ≥42 mmol/mol or fasting glucose ≥6 mmol/L. The primary outcome was a consultation with their GP and at least one action focusing on CV risk factors within 6 weeks after the screening consultation. Results The study comprised 1265 patients, aged 18–85 years. Of these, 336/447 (75%) of the high-risk patients and 580/819 (71%) of the low-risk patients had a GP consultation. 127/336 (38%) of high-risk patients and 160/580 (28%) of low-risk patients received relevant actions related to their CV risk, for example, blood pressure home measurement or prescription for statins, antihypertensives or antidiabetics. Education ≥10 years increased the odds for non-adherence (OR 0.58, 95% CI 0.0.37 to 0.92, p=0.02). Conclusions 75% of the high-risk patients consulted their GP after the secondary care CV risk screening, and 38% of these received an action relevant for their CV risk. Higher education decreased adherence.
- Open Access
- 27 June 2008
- Published by Springer Nature in BMC Medical Genetics
- Vol. 9 (1) , 56
Linkage disequilibrium mapping of a breast cancer susceptibility locus near RAI/PPP1R13L/iASPP
Previous results have suggested an association of the region of 19q13.3 with several forms of cancer. In the present study, we investigated 27 public markers within a previously identified 69 kb stretch of chromosome 19q for association with breast cancer by using linkage disequilibrium mapping. The study groups included 434 postmenopausal breast cancer cases and an identical number of individually matched controls. Studying one marker at a time, we found a region spanning the gene RAI (alias PPP1R13L or iASPP) and the 5' portion of XPD to be associated with this cancer. The region corresponds to a haplotype block, in which there seems to be very limited recombination in the Danish population. Studying combinations of markers, we found that two to four neighboring markers gave the most consistent and strongest result. The haplotypes with strongest association with cancers were located in the gene RAI and just 3' to the gene. Coinciding peaks were seen in the region of RAI in groups of women of different age. In a follow-up to these results we sequenced 10 cases and 10 controls in a 44 kb region spanning the peaks of association. This revealed 106 polymorphisms, many of which were not in the public databases. We tested an additional 44 of these for association with disease and found a new tandem repeat marker, called RAI-3'd1, located downstream of the transcribed region of RAI, which was more strongly associated with breast cancer than any other marker we have tested (RR = 2.44 (1.41–4.23, p = 0.0008, all cases; RR = 6.29 (1.49–26.6), p = 0.01, cases up to 55 years of age). We expect the marker RAI-3'd1 to be (part of) the cause for the association of the chromosome 19q13.3 region's association with cancer.
- 27 June 2008
- Published by Springer Nature in BMC Medical Genetics
- Vol. 9 (1) , 56
Open AccessLinkage disequilibrium mapping of a breast cancer susceptibility locus near RAI/PPP1R13L/iASPP
Previous results have suggested an association of the region of 19q13.3 with several forms of cancer. In the present study, we investigated 27 public markers within a previously identified 69 kb stretch of chromosome 19q for association with breast cancer by using linkage disequilibrium mapping. The study groups included 434 postmenopausal breast cancer cases and an identical number of individually matched controls. Studying one marker at a time, we found a region spanning the gene RAI (alias PPP1R13L or iASPP) and the 5' portion of XPD to be associated with this cancer. The region corresponds to a haplotype block, in which there seems to be very limited recombination in the Danish population. Studying combinations of markers, we found that two to four neighboring markers gave the most consistent and strongest result. The haplotypes with strongest association with cancers were located in the gene RAI and just 3' to the gene. Coinciding peaks were seen in the region of RAI in groups of women of different age. In a follow-up to these results we sequenced 10 cases and 10 controls in a 44 kb region spanning the peaks of association. This revealed 106 polymorphisms, many of which were not in the public databases. We tested an additional 44 of these for association with disease and found a new tandem repeat marker, called RAI-3'd1, located downstream of the transcribed region of RAI, which was more strongly associated with breast cancer than any other marker we have tested (RR = 2.44 (1.41–4.23, p = 0.0008, all cases; RR = 6.29 (1.49–26.6), p = 0.01, cases up to 55 years of age). We expect the marker RAI-3'd1 to be (part of) the cause for the association of the chromosome 19q13.3 region's association with cancer.