scholarly journals Validity and completeness of rheumatoid arthritis diagnoses in the nationwide DANBIO clinical register and the Danish National Patient Registry

2017 ◽  
Vol Volume 9 ◽  
pp. 627-632 ◽  
Author(s):  
Else Helene Ibfelt ◽  
Jan Sørensen ◽  
Dorte V. Jensen ◽  
Lene Dreyer ◽  
Berit Schiøttz-Christensen ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Patient Registry ◽  
National Patient Registry ◽  
Danish National Patient Registry ◽  
National Patient ◽  
Clinical Register

Validity of rheumatoid arthritis diagnoses in the Danish National Patient Registry

2004 ◽  
Vol 19 (12) ◽  
pp. 1097-1103 ◽  
Author(s):  
Merete Pedersen ◽  
Mette Klarlund ◽  
Søren Jacobsen ◽  
Anders J. Svendsen ◽  
Morten Frisch
Keyword(s):  
Rheumatoid Arthritis ◽  
Patient Registry ◽  
National Patient Registry ◽  
Danish National Patient Registry ◽  
National Patient

scholarly journals Positive predictive value of ICD-10 diagnosis codes for brain abscess in the Danish National Patient Registry

2018 ◽  
Vol Volume 10 ◽  
pp. 1503-1508 ◽  
Author(s):  
Jacob Bodilsen ◽  
Michael Dalager-Pedersen ◽  
Nicolai Kjærgaard ◽  
Diederik van de Beek ◽  
Matthijs C Brouwer ◽  
...  
Keyword(s):  
Positive Predictive Value ◽  
Brain Abscess ◽  
Predictive Value ◽  
Patient Registry ◽  
National Patient Registry ◽  
Diagnosis Codes ◽  
Danish National Patient Registry ◽  
National Patient ◽  
Icd 10

scholarly journals Validity and underrecording of diagnosis of COPD in the Danish National Patient Registry

2011 ◽  
Vol 105 (7) ◽  
pp. 1063-1068 ◽  
Author(s):  
Reimar W. Thomsen ◽  
Peter Lange ◽  
Birthe Hellquist ◽  
Ejvind Frausing ◽  
Paul D. Bartels ◽  
...  
Keyword(s):  
Patient Registry ◽  
National Patient Registry ◽  
Danish National Patient Registry ◽  
National Patient

scholarly journals Positive predictive value of infective endocarditis in the Danish National Patient Registry: a validation study

2018 ◽  
Vol 146 (15) ◽  
pp. 1965-1967 ◽  
Author(s):  
Lauge Østergaard ◽  
Kasper Adelborg ◽  
Jens Sundbøll ◽  
Lars Pedersen ◽  
Emil Loldrup Fosbøl ◽  
...  
Keyword(s):  
Infective Endocarditis ◽  
Positive Predictive Value ◽  
Predictive Value ◽  
Medical Records ◽  
Electronic Device ◽  
Patient Registry ◽  
Cardiac Implantable Electronic Device ◽  
National Patient Registry ◽  
Danish National Patient Registry ◽  
National Patient

AbstractThe positive predictive value of an infective endocarditis diagnosis is approximately 80% in the Danish National Patient Registry. However, since infective endocarditis is a heterogeneous disease implying long-term intravenous treatment, we hypothesiszed that the positive predictive value varies by length of hospital stay. A total of 100 patients with first-time infective endocarditis in the Danish National Patient Registry were identified from January 2010 – December 2012 at the University hospital of Aarhus and regional hospitals of Herning and Randers. Medical records were reviewed. We calculated the positive predictive value according to admission length, and separately for patients with a cardiac implantable electronic device and a prosthetic heart valve using the Wilson score method. Among the 92 medical records available for review, the majority of the patients had admission length ⩾2 weeks. The positive predictive value increased with length of admission. In patients with admission length <2 weeks the positive predictive value was 65% while it was 90% for admission length ⩾2 weeks. The positive predictive value was 81% for patients with a cardiac implantable electronic device and 87% for patients with a prosthetic valve. The positive predictive value of the infective endocarditis diagnosis in the Danish National Patient Registry is high for patients with admission length ⩾2 weeks. Using this algorithm, the Danish National Patient Registry provides a valid source for identifying infective endocarditis for research.

scholarly journals Positive predictive value of acute and chronic pancreatitis diagnoses in the Danish National Patient Registry: A validation study

2018 ◽  
Vol 48 (1) ◽  
pp. 14-19 ◽  
Author(s):  
Jakob Kirkegård ◽  
Marie R. Mortensen ◽  
Ida R. Johannsen ◽  
Frank V. Mortensen ◽  
Deirdre Cronin-Fenton
Keyword(s):  
Acute Pancreatitis ◽  
Chronic Pancreatitis ◽  
Positive Predictive Value ◽  
Predictive Value ◽  
Medical Records ◽  
Patient Registry ◽  
National Patient Registry ◽  
Danish National Patient Registry ◽  
National Patient ◽  
Acute And Chronic Pancreatitis

Aims: To examine the validity of the diagnoses of acute and chronic pancreatitis registered in the Danish National Patient Registry. Methods: We identified all patients in the Danish National Patient Registry admitted to two Danish hospitals with acute or chronic pancreatitis from 1996 to 2013. From this population, we randomly sampled 100 patients with acute pancreatitis and 100 patients with chronic pancreatitis. For each cohort, we computed the positive predictive values and associated 95% confidence intervals (CIs) for the discharge diagnosis of acute or chronic pancreatitis using medical records as the gold standard. Results: We identified 2617 patients with acute pancreatitis and 1284 patients with chronic pancreatitis discharged from either of the two hospitals during the study period. Of these, 776 (19.9%) had a diagnosis of both acute and chronic pancreatitis and are thus present in both cohorts. From the 200 sampled patients, a total of 138 (69.0%) medical records were available for review. The positive predictive value for a diagnosis of acute pancreatitis in the Danish National Patient Registry was 97.3% (95% CI 90.5–99.2%) and for chronic pancreatitis 83.1% (95% CI 72.2–90.3%). Conclusions: The validity of diagnoses of acute and chronic pancreatitis registered in the Danish National Patient Registry since 1996 is generally high.

scholarly journals Positive Predictive Value of the Giant Cell Arteritis Diagnosis in the Danish National Patient Registry: A Validation Study

2020 ◽  
Vol Volume 12 ◽  
pp. 731-736
Author(s):  
Peter Engholm Hjort ◽  
Philip Therkildsen ◽  
Berit Dalsgaard Nielsen ◽  
Ib Tønder Hansen ◽  
Mette Nørgaard ◽  
...  
Keyword(s):  
Positive Predictive Value ◽  
Giant Cell Arteritis ◽  
Giant Cell ◽  
Validation Study ◽  
Predictive Value ◽  
Patient Registry ◽  
National Patient Registry ◽  
Danish National Patient Registry ◽  
National Patient

Electroconvulsive therapy, depression severity and mortality: Data from the Danish National Patient Registry

2020 ◽  
Vol 34 (3) ◽  
pp. 273-279 ◽  
Author(s):  
Martin Balslev Jørgensen ◽  
Maarten Pieter Rozing ◽  
Charles H Kellner ◽  
Merete Osler
Keyword(s):  
Electroconvulsive Therapy ◽  
Cox Regression ◽  
Severe Depression ◽  
Patient Registry ◽  
Psychotic Symptoms ◽  
Mortality Data ◽  
Depression Severity ◽  
National Patient Registry ◽  
Danish National Patient Registry ◽  
National Patient

Background: The effects of electroconvulsive therapy are usually estimated from changes in depression scales from studies with relatively small patient samples. Larger patient samples can be achieved from epidemiological registers, which provide information on other social and clinical predictors, results and risks. Aims: To examine whether depression severity predicts the use of electroconvulsive therapy, risk of re-hospitalization, suicidal behaviour and mortality following electroconvulsive therapy in patients with major depression. Methods: A cohort of 92,895 patients diagnosed with single or recurrent depression between 2005 and 2016 in the Danish National Patient Registry was followed for electroconvulsive therapy and adverse outcomes. Associations between electroconvulsive therapy and outcomes were analysed using Cox regression. Results: A total of 5004 (5.4%) patients were treated with electroconvulsive therapy. Depression severity was the strongest predictor of electroconvulsive therapy. Electroconvulsive therapy was used more frequently above age 70, in those better educated or married, whereas comorbid alcohol abuse or history of prior stroke at study entry were associated with lower rates. Electroconvulsive therapy was associated with lower mortality. The adjusted hazard ratio for the association between electroconvulsive therapy and suicide in patients with mild depression was 6.99 (3.30–14.43), whereas it was 1.10 (0.55–2.20) in those with severe depression and psychotic symptoms. A similar pattern was seen for emergency contacts and attempted suicide. Conclusions: Electroconvulsive therapy was associated with lower all-cause mortality and the relative risk for re-hospitalization and attempted and committed suicide was lowest in patients with the most severe depression. Electroconvulsive therapy is an important treatment, with significant public health benefits, for patients with severe depression.

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