The Kansas City Cardiomyopathy Questionnaire (KCCQ) is a heart failure health status measure and has been used in studies of patients with aortic stenosis. The Kansas City Cardiomyopathy Questionnaire (KCCQ) is a item self- questionnaire developed to independently measure the patient’s. To provide a better description of health related quality of life in patients with Congestive Heart Failure (CHF).
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These data suggest that a 10 point decline in KCCQ scores has important prognostic significance. The authors found that it was feasible to use the KCCQ during acute HF hospitalizations and was sensitive to clinical improvement, but score changes during hospitalization did not predict day readmission.
Cardiology Research and Practice
We only administered the KCCQ one time during the hospitalization, which would not reflect changes between admission, during hospitalization, and after hospitalization. The average KCCQ score was significantly higher in the nonreadmitted patients than in readmitted patients We did not collect some relevant medical quuestionnaire, such as history of admission due to heart failure in the past; physical examination findings; some other labs such as GFR and BNP, or chest X-ray questionaire.
This suggests that a mean difference over time of 5 points on the KCCQ Overall Summary Scale reflects a clinically significant change kcdq heart failure status. Adjusted odds ratios of readmission within 30 days after discharge derived from multivariate logistic regression analysis. 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.
Reliability and Responsiveness Reliability refers to the ability of a measure to produce consistent results when the measured phenomenon is unchanged. For brevity, only the performance characteristics of the overall summary score are presented in this discussion. Test-retest-reliability was high intraclass correlation coefficient 0.
In order to evaluate how much contribution the KCCQ score made in predicting HF readmission, we developed a model by including seven factors besides KCCQ score model 5 based on the multivariate regression results, published literature, and models. Sarah Kosowan — 07 August – However, no significant difference was detected on comparing discharge medications, blood sodium level, or HGB between the two groups of patients in the univariate analysis Table 2.
Validity Validity refers to the degree to which an instrument measures what it is supposed to measure. Even those with small clinical deteriorations or improvements Construct validity was demonstrated with strong correlations to respective subscales of the SF This is an open access article distributed under the Creative Commons Attribution Licensewhich permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
We enrolled patients who met the study criteria.
This instrument was developed and validated by John Spertus. Given that many other possible risk factors have not been included in this model, such as GFR and BNP, this model may not be perfect, although its c -statistics was greater than 0. This study was performed in a single-community medical center, and further studies in other centers or multiple centers need to be done to validate our findings.
The Kansas City Cardiomyopathy Questionnaire is the most sensitive, specific, and responsive health-related quality of life measure for heart failure. December 16, Postdischarge readmission information was gathered through follow-up interview with the patient. Compared to readmitted auestionnaire, nonreadmitted patients had a higher average KCCQ score The Questionnwire change scores were exquisitely reflective of clinical changes in heart failure both in terms of its directionality improvement versus deterioration and proportion-al-ity of change magnitude — as revealed in this figure: How do I find out the price to licence so I can include it in a proposal?
The KCCQ proved questionnarie be a reliable and valid self-report instrument for measuring disease-specific quality of life in chronic heart failure.
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The Kansas City Cardiomyopathy Questionnaire (KCCQ)
It is estimated that heart failure HF affects over 5. Conversely, if risk prediction is no better than chance, the c -statistic is 0.
An alternative approach to interpreting clinical changes is to appreciate the prognostic significance of changes in scores. Only two models have generated c -statistics greater than 0. Interpretability Several mechanisms for establishing standards for interpreting scores are available. We included HF readmission as a dependent variable and all potential factors as independent predictors in the logistic regression irrespective of whether they showed a significant difference between readmission and nonreadmission groups in the univariate analysis.
Models are typically considered reasonable when the c -statistic is greater than 0. As age was a continuous variable and race was a binary variable, normal linear regression was used for age while logistic regression was used for race imputation. As no nested missing pattern was detected, multiple imputation models were used for data imputation. Comments Seng Khiong Jong — 14 May –