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 Questionnairw 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. One is to examine the prognostic significance of KCCQ scores and the questionmaire is to benchmark score changes against clinical assessments of change. Scores are transformed to a range ofin which higher scores reflect better health status.
Toggle questoinnaire CV Outcomes, Inc. We enrolled patients who met the study criteria. Even those with small clinical deteriorations or improvements Introduction It is estimated that heart failure HF affects over 5. This work was all done in the late s to early s, and the KCCQ has been in regular use in research settings ever since.
Cardiology Research and Practice
How do I find out the price to licence so I can include it in a proposal? The examination of sensitivity to change yielded promising results. View at Google Scholar S.
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. In this study, we found that HF patients who had lower KCCQ score at time of discharge and lower EF and of male gender seemed to be more prone for readmission within 30 days. April 29, The study was approved by the Florida Hospital Institutional Review Board and conducted in accordance with the Declaration of Helsinki.
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? This figure describes the Kaplan-Meier curves for this study: The KCCQ proved to be a reliable and valid self-report instrument for measuring disease-specific quality of life in chronic heart failure.
Lots of efforts have been made to identify the predictable factors that are associated with high risk of being readmitted, which has been quite challenging until now.
Comparison of ROC area among different models. All analyses were performed by Stata version 14 StataCorp. As mentioned above, there are multiple factors contributing to HF readmission; therefore, risk prediction models including and weighing all relevant factors were developed. Heart failure HF is one of the most common diagnoses associated with hospital readmission.
For every patient who met the study criteria, a trained research assistant explained the study to the patient and administered the KCCQ after a written informed consent was obtained. To address these gaps in knowledge and explore the feasibility of using the KCCQ score to predict the short-term HF readmission, we designed and conducted this prospective study.
We only administered the KCCQ one time during the hospitalization, which would not reflect changes between admission, during hospitalization, and after hospitalization. The Kansas City Cardiomyopathy Questionnaire is the leading health-related quality-of-life measure for patients with congestive heart failure.
The Kansas City Cardiomyopathy Questionnaire
What is the Kansas City Cardiomyopathy Questionnaire? Given only 48 readmissions in our study population, we included only 7 parameters besides the KCCQ score in the full model model 5.
Interpretability Several mechanisms for establishing standards for interpreting scores are available. 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. The c -statistic indicated that model 5 which included KCCQ score and all other potential predictors had the highest c -statistic value 0. The average KCCQ score was significantly higher in the nonreadmitted patients than in readmitted patients It is estimated that heart failure HF affects over 5.
Prognostic value of readmission within 30 days after discharge of different models comparing to model 1 with only demographic predictors. In addition, KCCQ score measured 1 week after hospital discharge independently predicted one-year survival free of cardiovascular readmission [ 9 ]. These findings were similar to some studies but not others. It is a reliable, predictive tool that tracks how patients are doing if they have weakened heart muscle due to prior heart attacks, heart valve problems, viral infections, or other causes.
Responsiveness refers to the ability of a measure to track accurately a phenomenon when it does change.
Sarah Kosowan — 07 August – In the multivariate analysis, logistic regression models were used, and adjusted odds ratios OR were estimated for each factor hypothesized to predict HF readmission. The KCCQ 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: The KCCQ score determined before hospital discharge was significantly associated with day readmission rate in patients with HF, which may provide a clinically useful measure and could significantly improve readmission prediction reliability when combined with other clinical components.
This suggests that a mean difference over time of 5 cagdiomyopathy on the Kcc Overall Summary Scale reflects a clinically significant change in heart failure status. The other model combined claims-based demographic and comorbidity data with clinical data including vital signs, laboratory values, and measured left ventricular ejection fraction [ 18 ].
In the KCCQan overall summary score can be derived from the physical function, symptom frequency and severitysocial function and quality of life domains.