Literature DB >> 20865111

Existing data sources for clinical epidemiology: The Western Denmark Heart Registry.

Morten Schmidt1, Michael Maeng, Carl-Johan Jakobsen, Morten Madsen, Leif Thuesen, Per Hostrup Nielsen, Hans Erik Bøtker, Henrik Toft Sørensen.   

Abstract

BACKGROUND: The Western Denmark Heart Registry (WDHR) has not previously been described as a research tool in clinical epidemiology.
OBJECTIVES: We examined the setting, organization, content, data quality, and research potential of the WDHR.
METHOD: We collected information from members of the WDHR organization, including the committee of representatives, the board, the data management group, and physicians reporting to the database. We retrieved 2008 data from the WDHR to illustrate database variables.
RESULTS: The WDHR is a clinical database within a population-based health care system. It was launched on 1 January 1999 to monitor and improve the quality of cardiac intervention in Western Denmark (population: 3.3 million) and to allow for clinical and health-service research. More than 200,000 interventions, with 50-150 variables each, have been registered. The data quality is ensured by automatic validation rules at data entry combined with systematic validation procedures and random spot-checks after entry.
CONCLUSIONS: The WDHR is a valuable research tool because it provides ongoing longitudinal registration of detailed patient and procedural data. The Danish national health care system enables this research because it allows complete follow-up for medical events after cardiac intervention by linkage with multiple medical databases.

Entities:  

Keywords:  cardiac surgical procedures; catheterization; coronary angiography; database; epidemiology; registries

Year:  2010        PMID: 20865111      PMCID: PMC2943184          DOI: 10.2147/clep.s10190

Source DB:  PubMed          Journal:  Clin Epidemiol        ISSN: 1179-1349            Impact factor:   4.790


Introduction

The Western Denmark Heart Registry (WDHR) is a clinical database within a population-based health care system. To improve cardiac treatment quality, the Danish National Board of Health decided in 1993 to increase the number of invasive cardiac interventions in Denmark.1 In response to this initiative, the WDHR was founded on January 1, 1999 as a collaborative effort by Western Denmark’s three major cardiac centers (Aarhus University Hospital-Skejby, Odense University Hospital, and Aarhus University Hospital-Aalborg) in order to monitor the cardiovascular treatment quality in Western Denmark. The remaining cardiac centers in Western Denmark (Varde Heart Centre, Region Hospital Viborg, Region Hospital Herning, Region Hospital Silkeborg, Vejle Hospital, Haderslev Hospital, Aarhus Hospital, Svendborg Hospital, and Hospital of Southwest Denmark-Esbjerg) joined the registry later. The participating centers own the WDHR and finance its operation through annual membership fees set according to hospital size. The WDHR serves as a regional data source to the Danish Heart Registry, which also contains data from Eastern Denmark and thus is responsible for the national monitoring of cardiac intervention quality.2,3 The WDHR, however, contains several data beyond what is delivered to the Danish Heart Registry.2,3 Thus, in addition to monitoring and improving the cardiac intervention quality in Western Denmark, the aim of collecting data to the WDHR is to allow for clinical and health-service research on the use of and outcomes from these procedures. In this study we examined the setting, organization, content, data quality, and research potential of the WDHR.

Setting

Western Denmark has a population of 3.3 million (55% of the total Danish population; Figure 1). Denmark provides an optimal environment for conducting medical database-based research because: (i) the Danish National Health Service provides tax-supported universal health care, guaranteeing unfettered access to general practitioners and hospitals, and partial reimbursement for prescribed medications; (ii) cardiac intervention in Western Denmark are performed only at participating cardiac centers; (iii) all Danish citizens can be tracked in the health care system and national registries using the unique ten digit central personal registry (CPR) number assigned to each Danish citizen at birth and to residents upon immigration;4 and (iv) information on exposures, disease outcomes, and potential confounding factors can be ascertained through CPR linkage to other Danish medical databases (Figure 2), which store information on eg, citizen vital statistics since 1968, including date of birth, change of address, date of emigration, and exact date of death (The Civil Registration System),5 specific causes of death since 1943 (The Registry of Causes of Deaths),6 characteristics of all nonpsychiatric inpatient admissions since 1977 and all outpatient clinic visits since 1995 (The National Patient Registry),7 prescribed medication since 1995 (The Nationwide Prescription Database),8 and all laboratory results from patient blood samples since 1997 (The Laboratory Database).9
Figure 1

Western Denmark area. Western Denmark area includes (1) North Denmark Region, (2) Central Denmark Region, and (3) Region of Southern Denmark. Eastern Denmark area includes (4) Sealand Region and (5) Capital Region of Denmark.

Figure 2

Record linkage potential of Danish medical databases using the central personal registry (CPR) number.

Organization

The organization behind the WDHR comprises a committee of representatives, a board, and a data management group. The committee of representatives consists of medical specialists from the cardiac centers and includes nine cardiologists, three cardiac surgeons, and three anesthesiologists. One member from each specialty group is selected for the representatives’ executive committee with voting rights on the board. The committee of representatives coordinates all database changes, participates in securing data quality, reports to the Danish Heart Registry, and promotes future initiatives within the WDHR. In addition to the representatives’ executive committee, the board consists of one hospital management representative from each of the three major cardiac centers, among whom the chairman is chosen. The board provides oversight, maintains contracts with database suppliers, sets annual membership fees, defines the strategy and goals for the WDHR, and holds the responsibility for the budget and the data quality to the Danish Heart Registry. The board appoints a data management group, which holds the responsibility for day-to-day management including implementing database changes, preparing annual reports, and daily communication between the committee of representatives, the board, and the database suppliers.

Study population

The WDHR includes all adult (≥15 years) patients in Western Denmark referred for cardiac intervention, ie, invasive procedures (coronary angiography [CAG] or percutaneous coronary intervention [PCI]), cardiac surgery (predominantly valve surgery and coronary artery bypass grafting [CABG]), and from 2008 also computed tomography (CT) CAG. Invasive CAG is performed at all cardiac centers like CT CAG, except at the Region Hospital Silkeborg, Aarhus Hospital, and Svendborg Hospital. PCI and cardiac surgery are performed only at the three major cardiac centers and the Varde Heart Centre. During 2008 more than 23,000 procedures were performed.10 By January 2010, the WDHR contained patient data on approximately 120,000 CAGs, 52,000 PCIs, 26,000 cardiac operations including 17,000 CABGs, and 3,000 CT CAGs.10

Variables

The WDHR is derived from an internet-based online system, running on an encrypted public net. The board specifies the data profile. A common interface form secures standardized data collection from the cardiac centers. Data are entered by the physicians into a computer-based data management system using the CPR numbers. Serial numbers for patients and procedures are automatically generated to protect patient confidentiality. There are no paper forms. An integrated help function helps to solve data registration problems. The concept of “one procedure – one interface” provides physicians with a visual overview of the variables to be filled in. Thus, for each procedure, physicians report administrative data, including dates of referral, admission, operation, and discharge; and clinical data, including medical history, procedure data, lesion data, complications, and research study enrollments (Tables 1–3). Depending on the procedure type, 50 to 150 variables are registered for each procedure.
Table 1

Examples of variables recorded for percutaneous coronary intervention in 2008. The proportion of completed variable registration is shown in table parentheses

Cardiac centersa
Total (n = 5498)
Skejby (n = 2273)Odense (n = 1659)Aalborg (n = 1164)Varde (n = 402)
Medical history
Male gender, %73 (100)72 (100)76 (100)72 (100)73 (100)
Age, years65 (100)64 (100)64 (100)64 (100)65 (100)
Ischemic heart disease in family, %49 (98)45 (54)43 (75)63 (97)48 (80)
Smoking (current or former), %79 (94)78 (50)81 (70)75 (92)79 (75)
Obesity (BMI ≥ 30), %20 (96)12 (45)15 (65)21 (82)16 (73)
Diabetes mellitus, %17 (99)21 (55)15 (76)13 (97)17 (81)
Lipid lowering therapy, %62 (98)65 (55)55 (75)83 (97)63 (80)
Hypertension, %51 (98)51 (55)53 (75)59 (96)52 (80)
Previous PCI, %28 (99)27 (55)24 (76)24 (97)27 (81)
Previous myocardial infarction, %26 (99)23 (55)27 (76)27 (97)26 (81)
Procedure data
PCI indication
  STEMI, %26 (100)35 (100)29 (100)2 (100)27 (100)
  Non-STEMI or unstable angina, %23 (100)31 (100)32 (100)13 (100)27 (100)
  Stable angina, %42 (100)30 (100)35 (100)79 (100)40 (100)
  Other, %9 (100)4 (100)4 (100)6 (100)6 (100)
Clinical presentationb
  Acute, %31 (100)39 (100)32 (100)2 (100)31 (100)
  Subacute, %30 (100)32 (100)32 (100)25 (100)31 (100)
  Elective, %39 (100)29 (100)36 (100)73 (100)38 (100)
Target lesion revascularization
  Stent thrombosis, %2 (100)2 (100)2 (100)0.5 (100)2 (100)
  In-stent restenosis, %4 (100)3 (100)3 (100)4 (100)4 (100)
  Non-instent restenosis, %1 (100)0.6 (100)1 (100)1 (100)1 (100)
Arterial access
  Femoral, %96 (100)99 (100)89 (100)100 (100)96 (100)
  Radial or brachial, %4 (100)0.7 (100)11 (100)0.2 (100)4 (100)
Procedure time, min31 (100)24 (99)26 (98)23 (100)27 (99)
Fluoroscopy time, min11 (100)10 (100)9 (100)8 (100)10 (100)
X-ray dose, Gy cm288 (100)28 (100)62 (100)58 (100)62 (100)
Contrast volume, ml104 (100)133 (100)145 (100)87 (100)120 (100)
No. of treated lesions1.3 (100)1.3 (100)1.3 (100)1.4 (100)1.3 (100)
No. of treated arteries, %
  01 (100)2 (100)2 (100)1 (100)2 (100)
  183 (100)85 (100)84 (100)82 (100)84 (100)
  214 (100)13 (100)13 (100)16 (100)14 (100)
  31 (100)0.5 (100)1 (100)1 (100)0.9 (100)
No. of balloons1.8 (100)1.5 (100)1.6 (100)1.5 (100)1.6 (100)
No. of stents1.4 (100)1.3 (100)1.5 (100)1.3 (100)1.4 (100)
Periprocedural antiplatelet therapy
  Acetylsalicylic acid, %98 (100)98 (100)91 (100)99 (100)97 (100)
  Clopidogrel, %92 (100)97 (100)85 (100)97 (100)92 (100)
  Glycoprotein IIa/IIIb antagonist, %29 (100)25 (100)25 (100)10 (100)25 (100)
Lesion data
Lesion type,c %
  A4 (95)19 (94)8 (91)16 (95)10 (94)
  B120 (95)27 (94)24 (91)26 (95)23 (94)
  B221 (95)30 (94)31 (91)25 (95)26 (94)
  C55 (95)24 (94)37 (91)33 (95)40 (94)
Stenosis,d % of luminal diameter93 (95)90 (94)90 (91)86 (95)91 (94)
Lesion length,d mm24 (95)20 (94)21 (91)19 (95)22 (94)
Stent length,d sum in mm27 (85)25 (97)26 (87)23 (97)26 (86)
Stent implantation (≥ 1), %90 (95)93 (94)95 (91)92 (95)92 (94)
Stent type
  DES (with or without BMS), %74 (100)78 (100)64 (100)67 (100)73 (100)
  BMS (without DES), %11 (100)8.7 (100)23 (100)20 (100)13 (100)
Hospitalization time, days1.5 (91)2.3 (93)2.1 (96)1.1 (93)1.8 (93)

Notes: Values are means when % is not indicated.

Skejby = Aarhus University Hospital-Skejby; Odense = Odense University Hospital; Aalborg = Aarhus University Hospital-Aalborg; Varde = Varde Heart Centre.

Acute (within hours): STEMI or cardiac arrest patients; Subacute (within days): patients with nonSTEMI, unstable angina, or crescendo angina; Elective (within weeks): patients (i) with stable angina, (ii) needing cardiac surgery, (iii) with systolic left ventricular failure, or (iv) with ventricular arrhythmias of unknown origin.

Lesion classification with a distinction between simple B1 and complex B2 lesions: A = non-complicated, length <10 mm; B = irregular, length 10–20 mm; C = irregular, sidebranch, 90 degrees, chronic occlusion, length >20 mm.26,27

By visual estimate.

Abbreviations: BMI, body mass index; BMS, bare-metal stent; DES, drug-eluting stent; PCI, percutaneous coronary intervention; STEMI, ST-segment elevation myocardial infarction.

Table 3

Performance indicators in 2008. The proportion of completed variable registration is shown in table parentheses

Performance indicators (standardsb)Cardiac centersa
Total
SkejbyOdenseAalborgVarde
PCI
Contrast fluid reactionc (<1), %0.1 (100)0.0 (100)0.1 (100)0.2 (100)0.1 (100)
Arrhythmiac (<1), %0.4 (100)1.1 (100)0.9 (100)0.2 (100)0.7 (100)
Arterial puncture bleeding (<3), %0.7 (92)3.5 (94)0.9 (100)0.3 (93)1.5 (94)
Acute CABGc (<0.5), %0.1 (100)0.1 (100)0.2 (100)0.0 (100)0.1 (100)
30-day mortality (<5), %2.6 (99)3.5 (99)3.6 (99)0.3 (96)2.9 (99)
Cardiac surgery
Central nervous lesiond (<5), %1.0 (97)1.0 (100)2.6 (87)0.4 (99)1.1 (96)
Acute myocardial infarctiond (<5), %2.7 (85)3.6 (99)1.1 (87)6.6 (98)3.5 (91)
Sternum infectiond (<3), %1.9 (97)0.4 (100)0.5 (87)0.2 (99)1.0 (96)
Reintervention due to bleeding (<10), %7.3 (97)6.1 (100)4.7 (88)5.5 (99)6.2 (96)
Reintervention within 6 months (<10), %5.2 (100)3.6 (100)6.7 (100)1.9 (100)4.5 (100)
30-day mortality (<5), %2.8 (99)5.9 (100)3.7 (100)1.1 (97)3.3 (99)

Notes:

Cardiac centers: Skejby = Aarhus University Hospital-Skejby; Odense = Odense University Hospital; Aalborg = Aarhus University Hospital-Aalborg; Varde = Varde Heart Centre.

Treatment standards set by the Danish Heart Registry;

During procedure;

During hospitalization.

Abbreviations: CABG, coronary artery bypass grafting; PCI, percutaneous coronary intervention.

Treatment quality

Quantifiable variables have been selected as performance indicators for the quality of the health care efforts compared with prespecified standards set by the Danish Heart Registry (Table 3).11,12 The purpose of the performance indicators is to: assess the actual care given and its quality in order to detect care and service processes needing improvement (process indicators, [PI]); assess whether treatment outcomes meet a desired level (outcome indicators, [OI]); maintain and improve quality of care; and inform policy making or strategy at a regional and national level.12 The WDHR performance indicators are selected independently for the following interventions: CAG: adverse reaction to contrast fluid (OI, standard < 1%), arrhythmia during procedure (OI, standard < 1%), and bleeding complications from arterial puncture (OI, standard < 3%); PCI, in addition: acute CABG during procedure (OI, standard < 0.5%), 30-day mortality (OI, standard < 5%), and postintervention secondary prophylaxis with clopidogrel and statins (PI, standard ≥ 95%); and cardiac surgery: 30-day mortality (OI, standard < 5%), central nervous lesion or acute myocardial infarction during hospitalization (OIs, standard < 5%), sternum infection (OI, standard < 3%), reintervention due to bleeding or within 6 months (OIs, standard < 10%), transfusion (PI, standard yet to be defined), and postintervention secondary prophylaxis with statins (PI, standard ≥ 95%). Furthermore, improvements in the quality of care are also ascertained through ways other than performance indicators. As an example, the scope of surgery among patients aged 80–90 years has been expanded to include complex surgery with both valve replacement and CABG. This expansion has been justified through surveillance of outcome data by means of the WDHR.

Data quality

Upgrades to the database platform have been performed in 2003 and 2006. The next upgrade is scheduled for 2010. To improve data quality, it is mandatory to fill in more than two-thirds of the variables. The data quality is confirmed by automatic validation rules at data entry (eg, blood pressure levels are restricted within prespecified limits) combined with systematic validation procedures (through research projects and otherwise defined by the individual departments) and random spot checks after entry (through research projects and by the data management group). Data are entered by the physicians at the time of procedure and late procedure complications may, therefore, be incompletely recorded in the WDHR. For example, stent thrombosis may be incompletely registered unless the patient lives to receive revascularization treatment in connection with angiography. However, data linkage to national registries using the CPR numbers provides complete patient follow-up and ascertainment of late complications such as reinfarction, stroke, or cause of death. The proportion of registrations completed (one minus the proportion of missing data) is monitored at two levels: (i) procedure registration through independent ascertainment methods, in which the number of interventions registered in the WDHR is compared with that registered in the Danish National Patient Registry.13 In 2008 it was 98% for CAG, 98% for PCI, 97% for valve surgery, and 98% for CABG;10 (ii) variable registration through historic data methods, in which the number of registered variables for each intervention is compared with the expected number calculated from the observed number of interventions.13 It is monitored and reported individually for the cardiac centers (Tables 1–3).

Research examples

WDHR data are well suited for studying predictors for multiple outcomes following cardiac intervention, such as patient characteristics, comorbidity, medication use, and intra-interventional differences (eg, different types of stents or anesthesia). Furthermore, the WDHR is used as a platform for randomized controlled trials with clinical driven outcome detection. In addition to the inherent variables in the WDHR, a committee of cardiac specialists has, owing to research purposes,14–18 added detailed information on stent thrombosis and cause of death. As defined by the Academic Research Consortium, the specialist committee adjudicated the incidence of definite, probable, or possible stent thrombosis by retrieving medical records and reviewing catheterization angiograms. The committee also reviewed original paper death certificates ascertained from the National Registry of Causes of Deaths6 to classify death according to the underlying cause as cardiac or noncardiac death. Cardiac death was defined as an evident cardiac death, PCI-related death, unwitnessed death, and death from unknown causes. Thus, using these adjudicated outcomes from 12,395 patients undergoing PCI with stent implantation, Jensen et al14 concluded that the minor additional risk of stent thrombosis and myocardial infarction within 15 months after implantation of drug-eluting stents (DES) compared with bare-metal stents (BMS) was unlikely to outweigh the benefit of DES in reducing clinically necessary target lesion revascularization.14 The reduction in target lesion revascularization was also confirmed for ST-segment elevation myocardial infarction patients who were treated with primary PCI19 and for diabetic patients.20 Furthermore, comparing effectiveness of two types of DES – sirolimus-eluting stents (SES) and paclitaxel-eluting stents (PES) – Maeng et al17 showed that PES increased the risk of target lesion revascularization by 43% compared with SES.17 In addition, Kaltoft et al16 concluded that within two years of follow-up, PES increased the risk of stent thrombosis, myocardial infarction, and 1-year mortality compared with BMS and SES.16 Cardiovascular outcomes have also been examined for other high risk patients with eg, spontaneous coronary artery dissection,21 or unprotected left main coronary artery stenosis treated with PCI.15 Obtaining information on all prescription medication through record linkage to the Nationwide Prescription Database makes the WDHR a valuable source for pharmacoepidemiological cardiovascular research. Use of nonselective NSAIDs and COX-2-selective enzyme inhibitors has been reported to increase cardiovascular risks in patients with coronary artery disease.22,23 Schmidt et al18 examined whether this risk also related to patients undergoing coronary stent implantation, and found that overall there was no evidence to support such an association.18 In patients undergoing cardiac surgery, Jakobsen et al24 investigated the cardioprotective effect of sevoflurane versus propofol anesthesia and found that sevoflurane seemed superior to propofol in patients with little or no ischemic heart disease, whereas propofol seemed superior in patients with severe ischemia, cardiovascular instability, or in acute or urgent surgery.24 In another study on drug effectiveness and safety during cardiac surgery, aprotinin treatment was found to increase the use of plasma and platelet transfusion and the risk for postoperative dialysis, but not other adverse outcomes, including short-term mortality.25

Conclusions

The WDHR is a valuable tool for clinical epidemiological research because it provides ongoing longitudinal registration of detailed patient and procedure data, which allows for research within invasive cardiology, cardiac surgery, anesthesia, and pharmacoepidemiology. The Danish national health care system enables this research because it allows complete follow-up for medical events after cardiac intervention by linkage with multiple medical databases.
Table 2

Examples of variables recorded for cardiac surgery in 2008. The proportion of completed variable registration is shown in table parentheses

Cardiac centersa
Total (n = 2389)
Skejby (n = 963)Odense (n = 527)Aalborg (n = 435)Varde (n = 464)
Procedure data
EuroSCORE6 (95)6 (100)6 (97)5 (100)6 (97)
Logistic mortality,b %11 (95)8 (100)9 (97)5 (100)9 (97)
Previous PCI, %12 (85)18 (100)14 (84)9 (100)13 (91)
Operation, %
  CABG only41 (100)49 (100)57 (100)54 (100)48 (100)
  Valve surgery (0 ≥ CABG)39 (100)31 (100)28 (100)40 (100)35 (100)
  Other21 (100)20 (100)15 (100)6 (100)17 (100)
Time to procedure, days54 (94)30 (99)30 (97)19 (100)37 (97)
Acute surgery, %9 (95)10 (100)8 (97)1 (100)7 (97)
CABG On-Off-Pump, %84 (82)61 (100)87 (82)98 (100)82 (90)
ECC time, min98 (99)125 (100)110 (100)60 (95)97 (98)
Aortic clamp duration, min60 (98)83 (98)68 (99)38 (97)61 (98)
Hospitalization time, days14 (88)11 (99)10 (83)7 (99)11 (92)

Notes: Values are means when % is not indicated. Other variables not presented include eg, medical history variables as shown in Table 1, number of peripheral anastomoses (1–6), cardioplegia direction (antegrade, retrograde, both, or non) and type (crystalloid solution, warm blood, or cold blood), and type of aortic or mitral valves (Carbomedics, Carpentier-Edwards, Medtronics, Mitroflow, Omnicarbon, St. Jude, Star, or plastic).

Skejby = Aarhus University Hospital-Skejby; Odense = Odense University Hospital; Aalborg = Aarhus University Hospital-Aalborg; Varde = Varde Heart Centre.

The EuroSCORE-predicted early mortality after cardiac surgery.28

Abbreviations: CABG, coronary artery bypass grafting; ECC, extracorporeal circulation; EuroSCORE, European System for Cardiac Operative Risk Evaluation; PCI, percutaneous coronary intervention.

  24 in total

1.  The Danish registers of causes of death.

Authors:  K Juel; K Helweg-Larsen
Journal:  Dan Med Bull       Date:  1999-09

2.  Defining and classifying clinical indicators for quality improvement.

Authors:  Jan Mainz
Journal:  Int J Qual Health Care       Date:  2003-12       Impact factor: 2.038

3.  Validation of European System for Cardiac Operative Risk Evaluation (EuroSCORE) in North American cardiac surgery.

Authors:  Samer A M Nashef; Francois Roques; Bradley G Hammill; Eric D Peterson; Philippe Michel; Frederick L Grover; Richard K H Wyse; T Bruce Ferguson
Journal:  Eur J Cardiothorac Surg       Date:  2002-07       Impact factor: 4.191

4.  Target lesion revascularisation in patients treated with a sirolimus-eluting or paclitaxel-eluting stent.

Authors:  Michael Maeng; Lisette Okkels Jensen; Klaus Rasmussen; Jens Flensted Lassen; Lars Romer Krusell; Per Thayssen; Leif Thuesen
Journal:  Heart       Date:  2006-12-28       Impact factor: 5.994

5.  The Danish National Hospital Register. A valuable source of data for modern health sciences.

Authors:  T F Andersen; M Madsen; J Jørgensen; L Mellemkjoer; J H Olsen
Journal:  Dan Med Bull       Date:  1999-06

6.  2-year clinical outcomes after implantation of sirolimus-eluting, paclitaxel-eluting, and bare-metal coronary stents: results from the WDHR (Western Denmark Heart Registry).

Authors:  Anne Kaltoft; Lisette Okkels Jensen; Michael Maeng; Hans Henrik Tilsted; Per Thayssen; Morten Bøttcher; Jens Flensted Lassen; Lars Romer Krusell; Klaus Rasmussen; Knud Nørregaard Hansen; Lars Pedersen; Søren Paaske Johnsen; Henrik Toft Sørensen; Leif Thuesen
Journal:  J Am Coll Cardiol       Date:  2009-02-24       Impact factor: 24.094

7.  Risk of bleeding in patients with acute myocardial infarction treated with different combinations of aspirin, clopidogrel, and vitamin K antagonists in Denmark: a retrospective analysis of nationwide registry data.

Authors:  Rikke Sørensen; Morten L Hansen; Steen Z Abildstrom; Anders Hvelplund; Charlotte Andersson; Casper Jørgensen; Jan K Madsen; Peter R Hansen; Lars Køber; Christian Torp-Pedersen; Gunnar H Gislason
Journal:  Lancet       Date:  2009-12-12       Impact factor: 79.321

8.  Use of aprotinin in cardiac surgery: effectiveness and safety in a population-based study.

Authors:  Carl-Johan Jakobsen; Flemming Søndergaard; Vibeke E Hjortdal; Søren P Johnsen
Journal:  Eur J Cardiothorac Surg       Date:  2009-09-25       Impact factor: 4.191

9.  Comparison of stent thrombosis, myocardial infarction, and mortality following drug-eluting versus bare-metal stent coronary intervention in patients with diabetes mellitus.

Authors:  Michael Maeng; Lisette O Jensen; Anne Kaltoft; Hans H T Hansen; Morten Bøttcher; Jens F Lassen; Per Thayssen; Lars R Krusell; Klaus Rasmussen; Lars Pedersen; Henrik T Sørensen; Søren P Johnsen; Leif Thuesen
Journal:  Am J Cardiol       Date:  2008-05-28       Impact factor: 2.778

10.  Outcome in high risk patients with unprotected left main coronary artery stenosis treated with percutaneous coronary intervention.

Authors:  Lisette Okkels Jensen; Anne Kaltoft; Per Thayssen; Hans Henrik Tilsted; Evald Hoej Christiansen; Kirsten Vilain Mikkelsen; Michael Maeng; Knud Noerregaard Hansen; Anton Boel Villadsen; Morten Madsen; Jens Flensted Lassen; Knud Erik Pedersen; Leif Thuesen
Journal:  Catheter Cardiovasc Interv       Date:  2010-01-01       Impact factor: 2.692

View more
  40 in total

1.  Psychosocial Working Environment and Risk of Adverse Cardiac Events in Patients Treated for Coronary Heart Disease.

Authors:  Karin Biering; Johan Hviid Andersen; Thomas Lund; Niels Henrik Hjollund
Journal:  J Occup Rehabil       Date:  2015-12

2.  Methods in measuring return to work: a comparison of measures of return to work following treatment of coronary heart disease.

Authors:  Karin Biering; Niels Henrik Hjøllund; Thomas Lund
Journal:  J Occup Rehabil       Date:  2013-09

3.  Concomitant use of clopidogrel and statins and risk of major adverse cardiovascular events following coronary stent implantation.

Authors:  Morten Schmidt; Martin B Johansen; Michael Maeng; Anne Kaltoft; Lisette O Jensen; Hans-Henrik Tilsted; Hans E Bøtker; John A Baron; Henrik Toft Sørensen
Journal:  Br J Clin Pharmacol       Date:  2012-07       Impact factor: 4.335

4.  Effect of Psychosocial Work Environment on Sickness Absence Among Patients Treated for Ischemic Heart Disease.

Authors:  Karin Biering; Thomas Lund; Johan Hviid Andersen; Niels Henrik Hjollund
Journal:  J Occup Rehabil       Date:  2015-12

5.  Deep Sternal Wound Infection after Open-Heart Surgery: A 13-Year Single Institution Analysis.

Authors:  Alexander Andersen Juhl; Sofie Hody; Tina Senholt Videbaek; Tine Engberg Damsgaard; Per Hostrup Nielsen
Journal:  Ann Thorac Cardiovasc Surg       Date:  2017-02-03       Impact factor: 1.520

6.  Estimated Pulse Wave Velocity Is Associated With All-Cause Mortality During 8.5 Years Follow-up in Patients Undergoing Elective Coronary Angiography.

Authors:  Esben Laugesen; Kevin K W Olesen; Christian Daugaard Peters; Niels Henrik Buus; Michael Maeng; Hans Erik Botker; Per L Poulsen
Journal:  J Am Heart Assoc       Date:  2022-05-10       Impact factor: 6.106

Review 7.  The Western Denmark Cardiac Computed Tomography Registry: a review and validation study.

Authors:  Lene Hüche Nielsen; Bjarne Linde Nørgaard; Hans Henrik Tilsted; Niels Peter Sand; Jesper Møller Jensen; Morten Bøttcher; Axel C Diederichsen; Jess Lambrechtsen; Lone Deibjerg Kristensen; Hans Mickley; Henrik Munkholm; Ole Gøtzsche; Lars Lyhne Knudsen; Hans Erik Bøtker; Lars Pedersen; Morten Schmidt
Journal:  Clin Epidemiol       Date:  2014-12-31       Impact factor: 4.790

8.  Using multiple imputation to deal with missing data and attrition in longitudinal studies with repeated measures of patient-reported outcomes.

Authors:  Karin Biering; Niels Henrik Hjollund; Morten Frydenberg
Journal:  Clin Epidemiol       Date:  2015-01-16       Impact factor: 4.790

9.  Single-centre cohort study of gender influence in coronary CT angiography in patients with a low to intermediate pretest probability of coronary heart disease.

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Journal:  Open Heart       Date:  2015-07-15

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Journal:  PLoS One       Date:  2012-11-16       Impact factor: 3.240

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