scholarly journals Concordance between administrative health data and medical records for diabetes status in coronary heart disease patients: a retrospective linked data study

2013 ◽  
Vol 13 (1) ◽  
Author(s):  
Lee Nedkoff ◽  
Matthew Knuiman ◽  
Joseph Hung ◽  
Frank M Sanfilippo ◽  
Judith M Katzenellenbogen ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Medical Records ◽  
Linked Data ◽  
Health Data ◽  
Administrative Health Data ◽  
Diabetes Status

scholarly journals A retrospective study on the usefulness of the JJ risk engine for predicting the incidence rate of coronary heart disease in type 2 diabetes patients

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Yasunari Yamashita ◽  
Rina Kitajima ◽  
Kiyoshi Matsubara ◽  
Gaku Inoue ◽  
Hajime Matsubara
Keyword(s):  
Type 2 Diabetes ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Medical Records ◽  
Low Frequency ◽  
University Hospital ◽  
Diabetes Treatment ◽  
C Statistic ◽  
Risk Engine

Abstract Objective In 2018, we conducted a retrospective survey using the medical records of 484 patients with type 2 diabetes. The observed value of coronary heart disease (CHD) incidence after 5 years and the predicted value by the JJ risk engine as of 2013 were compared and verified using the discrimination and calibration values. Results Among the total cases analyzed, the C-statistic was 0.588, and the calibration was p < 0.05; thus, the JJ risk engine could not correctly predict the risk of CHD. However, in the group expected to have a low frequency of hypoglycemia, the C-statistic was 0.646; the predictability of the JJ risk engine was relatively accurate. Therefore, it is difficult to accurately predict the complication rate of patients using the JJ risk engine based on the diabetes treatment policy after the Kumamoto Declaration 2013. The JJ risk engine has several input items (variables), and it is difficult to satisfy them all unless the environment is well-equipped with testing facilities, such as a university hospital. Therefore, it is necessary to create a new risk engine that requires fewer input items than the JJ risk engine and is applicable to several patients.

Prehospital delay in patients with acute coronary heart disease: Concordance between patient interviews and medical records

1998 ◽  
Vol 135 (2) ◽  
pp. 293-299 ◽  
Author(s):  
Robert J. Goldberg ◽  
Paul G. McGovern ◽  
Thomas Guggina ◽  
Judith Savageau ◽  
Wayen D. Rosamond ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Medical Records ◽  
Prehospital Delay ◽  
Patient Interviews

scholarly journals Relação entre classe funcional e fração de ejeção do ventrículo esquerdo em pacientes com doença coronariana candidatos à reabilitação cardíaca

2017 ◽  
Vol 27 (3) ◽  
pp. 26652
Author(s):  
Isabella Martins de Albuquerque ◽  
Andrieli Barbieri Garlet ◽  
Dannuey Machado Cardoso ◽  
Tamires Daros Santos ◽  
Sérgio Nunes Pereira
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Left Ventricular Ejection Fraction ◽  
Ejection Fraction ◽  
Medical Records ◽  
Left Ventricular ◽  
Functional Class ◽  
Ventricular Ejection ◽  
Left Ventricular Ejection ◽  
Ventricular Ejection Fraction

***Relationship between functional class and left ventricular ejection fraction in patients with coronary heart disease who were candidates for cardiac rehabilitation***AIMS: To assess the potential relation between the New York Heart Association functional class and left ventricular ejection fraction in coronary heart disease patients who were candidates for cardiac rehabilitation.METHODS: This is a retrospective cross-sectional study based on the analysis of medical records of coronary heart disease patients who were candidates for the Cardiac Rehabilitation Program of Hospital Universitário de Santa Maria, state of Rio Grande do Sul, Brazil. Both male and female patients aged 50 to 65 were included, whereas patients with chronic renal failure, anemia, poor echocardiographic image quality, non-sinus rhythm, and also those individuals whose medical records lacked sufficient information were excluded. Data were collected from August 2015 to March 2016, and the information that made up the variables of interest was extracted from the medical records, such as: clinical and demographic data (sex, age, comorbidities, clinical diagnosis, surgical and drug treatment), left ventricular ejection fraction values obtained by echocardiography (conventional and tissue Doppler echocardiography), and functional class from the ergometric test. Statistical analysis was performed using Kruskal-Wallis test followed by Dunn’s post-hoc test.  The significance level was set at p<0.05.RESULTS: A total of 131 medical records were consecutively evaluated, of which 102 met the inclusion criteria. Mean age was 59.23±7.95 years and 70 (68.63%) patients were male, with a predominance of functional class I. There was an inverse relation between functional class and ejection fraction: the more advanced the functional class, the more compromised the cardiac performance (p=0.036).CONCLUSIONS: In this sample of patients with coronary heart disease who were candidates for cardiac rehabilitation, there was an inverse relation between left ventricular ejection fraction and functional class. This finding provides information about the limitations imposed by the disease on patient’s exercise capacity and heart function and can contribute to the development of a physical training program.

scholarly journals Validation study of German inpatient administrative health data for epidemiological surveillance and measurement of quality of care for sepsis: the OPTIMISE study protocol

BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e035763
Author(s):  
Daniel Schwarzkopf ◽  
Carolin Fleischmann-Struzek ◽  
Peter Schlattmann ◽  
Heike Dorow ◽  
Dominique Ouart ◽  
...  
Keyword(s):  
Risk Factors ◽  
Quality Of Care ◽  
Gold Standard ◽  
Medical Records ◽  
Risk Model ◽  
Predictive Accuracy ◽  
Health Data ◽  
Epidemiological Surveillance ◽  
Administrative Health Data

IntroductionSepsis is a major cause of preventable deaths in hospitals. This study aims to investigate if sepsis incidence and quality of care can be assessed using inpatient administrative health data (IAHD).Methods and analysisDesign: Retrospective observational validation study using routine data to assess the diagnostic accuracy of sepsis coding in IAHD regarding sepsis diagnosis based on medical record review. Procedure: A stratified sample of 10 000 patients with an age ≥15 years treated in between 2015 and 2017 in 10 German hospitals is investigated. All available information of medical records is screened by trained physicians to identify true sepsis cases (‘gold standard’) both according to current (‘sepsis-1’) definitions and new (‘sepsis-3’) definitions. Data from medical records are linked to IAHD on patient level using a pseudonym. Analyses: Proportions of cases with sepsis according to sepsis-1 and sepsis-3 definitions are calculated and compared with estimates from coding of sepsis in IAHD. Predictive accuracy (sensitivity, specificity) of different coding abstraction strategies regarding the gold standard is estimated. Predictive accuracy of mortality risk factors obtained from IAHD regarding the respective risk factors obtained from medical records is calculated. An IAHD-based risk model for hospital mortality is compared with a record-based risk model regarding model-fit and predicted risk of death. Analyses adjust for sampling weights. The obtained estimates of sensitivity and specificity for sepsis coding in IAHD are used to estimate adjusted incidence proportions of sepsis based on German national IAHD.Ethics and disseminationThe study has been approved by the ethics commission of the Jena University Hospital (No. 2018-1065-Daten). The results of the study will be discussed in an expert panel to write a memorandum on improving the utility of IAHD for epidemiological surveillance and quality management of sepsis care.Trial registration numberDRKS00017775; Pre-results.

scholarly journals Alcohol Consumption and Risk of Coronary Heart Disease by Diabetes Status

Circulation ◽  
2000 ◽  
Vol 102 (5) ◽  
pp. 500-505 ◽  
Author(s):  
Umed A. Ajani ◽  
J. Michael Gaziano ◽  
Paulo A. Lotufo ◽  
Simin Liu ◽  
Charles H. Hennekens ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Alcohol Consumption ◽  
Diabetes Status

scholarly journals SUN-154 Identifying Type 1 Diabetes in Electronic Medical Records and Administrative Health Data in Ontario: A Validation Study

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Alanna Weisman ◽  
Jacqueline Young ◽  
Karen Tu ◽  
Liisa Jaakimainen ◽  
Lorraine Lipscombe ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Electronic Medical Records ◽  
Validation Study ◽  
Medical Records ◽  
Health Data ◽  
Administrative Health Data

scholarly journals The frequency and characteristics of cardiovascular pathology in HIV-infected patients (according to aytopsy)

2017 ◽  
Vol 95 (10) ◽  
pp. 928-934
Author(s):  
Valentina S. Golyshko ◽  
V. A. Snezhitskiy ◽  
N. V. Matsiyeueskaya ◽  
N. I. Prokopchik
Keyword(s):  
Heart Failure ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Infective Endocarditis ◽  
Antiretroviral Therapy ◽  
Cardiovascular Diseases ◽  
Confidence Interval ◽  
Medical Records ◽  
Opportunistic Infections ◽  
Cardiovascular Pathology

Aim to study the frequency and structure of the cardiovascular diseases (CVD) deaths from HIV-infected patients. A retrospective analysis of medical records of 346 deaths of HIV-infected patients: 225 (65%) males (95% confidence interval - 95% CI 69,8-58,8) and 121 (35%) women (95% CI 30,1-40,1) at the age of 35.0 [32,0;38,0] years. Autopsy was performed in 150 (43,5%) patients (95% CI 38,2-48,6). GCC is installed in 77 (22.3 %) of 346 cases (95% CI of 18.2-26.9) . While 18 (5,2%) patients (95% CI 3,3-8,1) CVD was the main cause of death in 59 (17,1%) - concomitant diseases (95% CI 13,5-1,4). The structure of the CVD were presented with acute heart failure in 17 (4,9%) autopsy cases (95% CI 3,1-7,7) , hydropericardium - 14 (4.0%) of cases (95% CI 2,4-6,7), coronary heart disease in 14 (4.0%) of cases (95% CI 2,4-6,7), cardiomyopathy in 11 (3,2%) cases (95% CI 1,8-5,6), myocarditis in 10 (2.9%) cases (95% CI 1,6-5,2), infective endocarditis in 4 (1.2%) cases (95% CI 0.5-3.0), chronic pulmonary heart, in 4 (1.2%) cases (95% CI 0.5-3.0), effusion in 3 (0.9%) cases (95% CI 0,3 - 2,5). The defeat of the cardiovascular system in HIV-infected patients in 79,2% of cases were formed against the background of generalized of severe opportunistic infections and diseases. In patients not receiving antiretroviral therapy, have higher rates of death AIDS-associated CVD as compared to that in patients receiving therapy: 3,8% (95% CI 1.9-7,3) and 0 respectively (p=0.05).

scholarly journals Prevalence of frailty and its correlation with chronic non-infectious diseases among outpatients in Moscow

2020 ◽  
pp. 131-137
Author(s):  
V. S. Ostapenko ◽  
N. K. Runikhina ◽  
N. V. Sharashkina
Keyword(s):  
Heart Failure ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Infectious Diseases ◽  
Medical Records ◽  
Joint Diseases ◽  
Deficit Accumulation ◽  
Accumulation Model ◽  
High Prevalence ◽  
Phenotype Model

The aim of this study was to research the prevalence of frailty and prefrailty and their relationship with chronic non-infectious diseases among outpatients in Moscow.Methods. The study included 356 patients ≥65 years (mean age 74.9 ± 6.1), 80.4% (n = 286) were women. For identify frailty, the phenotype model and the deficit accumulation model were used. The chronic non-infectious diseases was detected by an anamnesis and evaluating medical records.Results. Frailty and prefrailty according to the criteria of the phenotypic model were identified in 8.9% and 61.3% cases; according to the criteria of the deficit accumulation model – in 4.2% and 45.8% cases, resp. The average number of chronic non-infectious diseases was significantly higher in patients with frailty both  – by the phenotype model (4.0 ± 1.3 vs 2.8 ± 1.4) and by the deficit accumulation model (5.8 ± 0.9 vs 2.5 ± 1.2). Taking into account the influence of age, the risk of prefrailty according to the phenotypic model increases 2.7 times in the presence of chronic heart failure; according to the deficit accumulation model – 5.6 times in the presence of coronary heart disease, 4.2 times with in the joint diseases, 3.7 times with diabetes and 3 times with cancer.Conclusion. А high prevalence of prefrailty among outpatients in Moscow 65 years and older, as well as a reliable relationship between frailty and prefrailty with the total number and individual chronic non-infectious diseases were revealed. It is important to take measures to prevent the development and progression of frailty among outpatients, having a potentially high prevalence of chronic non-infectious diseases.

scholarly journals ADJUDICATION PILOT STUDY OF CAUSE OF DEATH IN THE LONG LIFE FAMILY STUDY

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S926-S926
Author(s):  
Habibatou Diallo ◽  
Joanne Murabito ◽  
Anne B Newman ◽  
Thomas T Perls ◽  
Diane Ives ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Pilot Study ◽  
Cause Of Death ◽  
Medical Records ◽  
Causes Of Death ◽  
Death Certificate ◽  
Family Study ◽  
Underlying Causes ◽  
Long Life

Abstract Background: Death certificate inaccuracy increases at older ages. The Long Life Family Study (LLFS) utilizes a physician adjudication committee to review the death certificate, medical records and a family narrative about cause of death. We report here the adjudication process and the prevalent underlying causes of death for a subsample of those who have died so far. Methods: We first describe the adjudication process. There were ~1,250 deaths in LLFS. We report underlying causes of death for a subset of proband generation subjects enrolled and evaluated by two LLFS study centers. Results: As of May 2019, we have adjudicated 190 deaths (98 male, 92 female) . Mean age 95 years (range 81-105 years). Top 5 causes of death for men: cancer (13%), coronary heart disease (CHD, 13%), dementia (13%), "other" (11%) and "unknown" (9%) and for women: dementia (21%), valvular heart disease (14%), coronary heart disease (12%), unknown (12%) and other (9%). Rate of death due to dementia was greater in women compared to men (CHI2 =7.33, p=0.006). Conclusions: In this pilot study, a significantly greater proportion of women died due to dementia compared to men. At least some portion of this difference may be due to the observation that women are known to survive chronic aging-related diseases more than men and thus have a greater opportunity to die from dementia at advanced ages. An additional cause to consider includes clinicians’ gender bias in ascribing diagnoses in the medical records that were relied upon as part of the adjudication process.

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