Unrecognised myocardial infarction in patients with schizophrenia

2015 ◽  
Vol 27 (2) ◽  
pp. 106-112 ◽  
Author(s):  
Jimmi Nielsen ◽  
Jacob Juel ◽  
Karam Sadoon Majeed Al Zuhairi ◽  
Rasmus Friis ◽  
Claus Graff ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Type Ii Diabetes ◽  
Psychiatric Hospitals ◽  
Patient Registry ◽  
Type Ii ◽  
Multiple Logistic Regression ◽  
National Patient Registry ◽  
National Patient ◽  
History Of ◽  
Silent Myocardial Infarction

ObjectiveSchizophrenia is associated with a reduction of the lifespan by 20 years, with type II diabetes and cardiovascular disease contributing the most to the increased mortality. Unrecognised or silent myocardial infarction (MI) occurs in ~30% of the population, but the rates of unrecognised MI in patients with schizophrenia have only been sparsely investigated.MethodElectrocardiograms (ECG) from three psychiatric hospitals in Denmark were manually interpreted for signs of previous MI. Subsequently, ECGs were linked to the National Patient Registry in order to determine whether patients had a diagnosis consistent with previous MI.ResultsA total of 937 ECGs were interpreted, 538 men (57.4%) and 399 women (42.6%). Mean age at the time of ECG acquisition was 40.6 years (95% CI: 39.7–41.5, range: 15.9–94.6). We identified 32 patients with positive ECG signs of MIs. Only two of these patients had a diagnosis of MI in the National Patient Registry. An additional number of eight patients had a diagnosis of MI in the Danish National Patient Registry, but with no ECG signs of previous MI. This means that 30 out of 40 (75%) MIs were unrecognised. Only increasing age was associated with unrecognised MI in a stepwise multiple logistic regression model compared with patients with no history of MI, OR: 1.03 per year of age, 95% CI: 1.00–1.06, p=0.021.ConclusionUnrecognised MI is common among patients with schizophrenia and may contribute to the increased mortality found in this patient group.

scholarly journals Importance of Geospatial Heterogeneity in Chronic Disease Burden for Policy Planning in an Urban Setting Using a Case Study of Singapore

2021 ◽  
Vol 18 (9) ◽  
pp. 4406
Author(s):  
Ken Wei Tan ◽  
Joel R. Koo ◽  
Jue Tao Lim ◽  
Alex R. Cook ◽  
Borame L. Dickens
Keyword(s):  
Diabetes Mellitus ◽  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Chronic Disease ◽  
Type Ii Diabetes ◽  
Census Data ◽  
Type Ii Diabetes Mellitus ◽  
Urban Setting ◽  
Type Ii

Chronic disease burdens continue to rise in highly dense urban environments where clustering of type II diabetes mellitus, acute myocardial infarction, stroke, or any combination of these three conditions is occurring. Many individuals suffering from these conditions will require longer-term care and access to clinics which specialize in managing their illness. With Singapore as a case study, we utilized census data in an agent-modeling approach at an individual level to estimate prevalence in 2020 and found high-risk clusters with >14,000 type II diabetes mellitus cases and 2000–2500 estimated stroke cases. For comorbidities, 10% of those with type II diabetes mellitus had a past acute myocardial infarction episode, while 6% had a past stroke. The western region of Singapore had the highest number of high-risk individuals at 173,000 with at least one chronic condition, followed by the east at 169,000 and the north with the least at 137,000. Such estimates can assist in healthcare resource planning, which requires these spatial distributions for evidence-based policymaking and to investigate why such heterogeneities exist. The methodologies presented can be utilized within any urban setting where census data exists.

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 Ossification of the Posterior Longitudinal Ligament

2003 ◽  
Vol 30 (1) ◽  
pp. 61-62
Author(s):  
A.P. Mitha ◽  
J.H. Wong ◽  
S.J. du Plessis
Keyword(s):  
Diabetes Mellitus ◽  
Neck Pain ◽  
Type Ii Diabetes ◽  
Posterior Longitudinal Ligament ◽  
Type Ii Diabetes Mellitus ◽  
Type Ii ◽  
Past Medical History ◽  
The Past ◽  
Chinese Descent ◽  
History Of

A 51-year-old gentleman of Chinese descent presented for neurological evaluation following a two-year history of cervical neck pain associated with left arm numbness. His symptoms were initially stable, but had progressed over the past six months to include weakness of his entire left arm and leg and symptoms of bladder urgency. Two weeks prior to presentation, he suffered repeated falls due to worsening gait difficulties. The past medical history was significant for type II diabetes mellitus.

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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