KANSAS CITY CARDIOMYOPATHY QUESTIONNAIRE KCCQ PDF

Psychother Psychosom Med Psychol. Mar-Apr;55() [The Kansas City Cardiomyopathy Questionnaire (KCCQ) — a new disease-specific quality of. Background. The Kansas City Cardiomyopathy Questionnaire (KCCQ) and Minnesota Living with Heart Failure Questionnaire (MLHFQ) are. The Kansas City. Cardiomyopathy Questionnaire (KCCQ) is a new, self- administered, item questionnaire that quantifies physical limitations, symptoms.

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The Kansas City Cardiomyopathy Questionnaire (KCCQ)

Patients who were admitted to the HF unit were screened and enrolled for the study. For brevity, only the performance characteristics of the overall summary score are presented in this discussion.

Although generic self-report instruments measuring health-related quality of life are available, there is a lack of disease-specific instruments covering various dimensions of quality of life with high reliability, validity and sensitivity to chance.

However, neither of the two models included KCCQ scores. There was no significant difference between the nonreadmitted and readmitted patients in terms of average age Sarah Kosowan — 07 August – April 29, How do I find out the price to licence so I can include it in a proposal?

The KCCQ proved to be a reliable and valid self-report instrument for measuring disease-specific quality of life in chronic heart failure.

We then performed multivariate analysis to investigate how each clinical factor was associated with HF readmissions after controlling for the other factors.

Responsiveness refers to the ability of a measure to track accurately a phenomenon when it does change. Table of Contents Alerts. After the multivariate analysis, we further constructed five simplified prediction models and evaluated the importance of KCCQ score in the final model through comparing area under receiver operating characteristic curve ROC of each model.

More recently, KCCQ score was used to assess the feasibility of reflecting the changes of acute HF during hospitalization and predicting day readmission. Future research should include relevant physical examination findings and chest X-ray findings, which could cardiomyipathy important in the risk prediction model.

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The combination of home medication and lab tests on the base model cardiomypoathy in an integrated discrimination improvement IDI increase of 3. Lots of efforts have been made to identify the predictable factors cardiomyopathyy are associated with high risk of being readmitted, which has been quite challenging until now.

Validity refers to the degree to which an instrument measures what it is supposed to measure. Adjusted odds ratios of readmission within 30 days after discharge derived from multivariate logistic regression analysis.

The average KCCQ score was significantly higher in the nonreadmitted patients than in readmitted patients Overview The Kansas City Cardiomyopathy Questionnaire is a item, self-administered instrument that quantifies physical function, symptoms frequency, severity and recent changesocial function, self-efficacy and knowledge, and quality of life.

Compared to readmitted patients, nonreadmitted patients had a higher average KCCQ score In another meta-analysis of 69 studies and factors for short-term readmission, noncardiovascular comorbidities, poor physical condition, history of admission, and failure to use evidence-based medication, rather than cardiovascular comorbidities, age, or gender, were more strongly associated with short-term readmission [ 15 ].

The examination of sensitivity to change yielded promising results. I am considering using the Kansas City as a primary outcome measure in an RCT please can you advise on the numbers of patients needed to measure a significant change? The full model model 5which included the KCCQ score, increased the c -statistics of 0.

These results suggested that the KCCQ score, as a single independent variable, is one of the important factors that could potentially be used for predicting readmission rates of HF patients within 30 days after discharge, and a combination of all these important factors would offer the greatest incremental gain. Subscribe to Table of Contents Alerts.

He performed large-scale validation studies that compared KCCQ data against these other data and used these results to further refine the questions. Construct validity was demonstrated with strong correlations to respective subscales of the SF These findings were similar to some questjonnaire but not others.

We enrolled patients who met the study criteria.

The Kansas City Cardiomyopathy Questionnaire (KCCQ)

The mean change in KCCQ scores was significantly different for all categories of change compared ccity stable patients. Kansa Kansas City Cardiomyopathy Questionnaire is the leading health-related quality-of-life measure for patients with congestive heart failure. It has been used in hundreds of clinical trials involving thousands of sites and tens of thousands of patients. The study was approved by the Florida Hospital Institutional Review Board and conducted in accordance with the Declaration of Helsinki.

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Exclusion criteria were noncardiac disease with a life expectancy of less than one year, HF ,ccq to uncorrected valvular heart disease, psychiatric illness interfering with an appropriate follow-up, inability to understand study procedure, and inability to provide informed questionanire.

How could i get a copy of the soft copy? Interpretability Several mechanisms for establishing standards for interpreting scores are available. Reliability and Responsiveness Reliability refers to the ability of a measure to produce consistent results when the measured phenomenon is unchanged.

Like the SAQits use in regular clinical settings has been limited by the expense and nuisance of using paper forms. Comparison of ROC area among different models. As seen in Table 4the IDI analysis demonstrated that the discriminatory performance of model 5 improved by 6.

For each domain, the validity, reproducibility, responsiveness and interpretability have been independently established.

Cardiology Research and Practice

For day readmission after HF hospitalization, several models have been developed. This figure describes the Kaplan-Meier curves for this study: As mentioned above, there are multiple factors contributing to HF readmission; therefore, risk prediction models including and weighing all relevant factors were developed.

These concerning statistics paved the way for a stronger focus on tools to predict and prevent such readmissions. Toggle navigation CV Outcomes, Inc. As no nested missing pattern was detected, multiple imputation models were used for data imputation.