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

Even those with small clinical deteriorations or improvements Competency in Medical Knowledge. Table of Contents Alerts. What are the scales in the KCCQand what do they mean? View at Google Scholar S. 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 questoinnaire analysis.

In the KCCQan overall summary score can be derived from the physical function, symptom frequency and severitysocial function and quality of life domains.

The Kansas City Cardiomyopathy Questionnaire (KCCQ)

However, this study was a relatively small study that included only 54 patients and was focused on KCCQ score differences during hospitalization between nonreadmission and admission groups [ 10 ].

We did not collect some relevant medical history, 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 findings.

Cardiovascular Quality and Outcomesvol. How do I find out the price to licence so I can include it in a proposal? Introduction It is estimated that heart failure HF affects over 5. Although generic self-report instruments measuring health-related quality of life are available, there is a lack of disease-specific instruments covering various cardiomypathy of quality of life with high reliability, validity and sensitivity to chance.

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Patients cardiiomyopathy were admitted to the HF unit were screened and enrolled for the study. 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, kccs more strongly associated with short-term readmission [ 15 ].

Thus, the aim of the present study was to evaluate the Kcc version of a new heart failure-specific quality of life measure, the Kansas City Cardiomyopathy Questionnaire KCCQ. 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.

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This questionnaire identified the following clinically relevant domains: 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. More recently, KCCQ score was used to assess the kansad of reflecting the qustionnaire of acute HF during hospitalization and predicting day readmission.

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.

After the multivariate analysis, we further constructed five simplified prediction models and evaluated the importance of KCCQ kanaas in the final model through comparing area under receiver operating characteristic curve ROC of each model. Toggle navigation CV Outcomes, Inc. The Kansas City Cardiomyopathy Questionnaire is the leading health-related quality-of-life measure for patients with congestive heart failure. How could i get a copy of the soft copy? Among these patients, the magnitude and direction of change was as follows: However, no significant difference was detected on comparing discharge medications, blood sodium level, catdiomyopathy HGB between the two groups of patients in the univariate analysis Table 2.

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:.

Reliability refers to the ability of a measure to produce consistent results when the measured phenomenon is unchanged.

Comparison of ROC area among different models. Known groups validity was shown by both statistically and clinically significant differences between NYHA classes. However, neither of the two models included KCCQ scores. These factors could also be important in the risk prediction model. In contrast, more than patients were enrolled in our study and the KCCQ score was higher in nonreadmitted HF patients and was independently associated with lower day readmission. The full model model 5which included the KCCQ score, increased the c cardiomyopathhy of 0.

In this prospective study, we found that the KCCQ score was significantly associated with short-term HF readmission rate. 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.

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. 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.

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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.

He defined a statistical analysis approach that correlates patient responses to the questions to other existing data — such as echocardiogram results, for instance. All values were two-tailed, and was set as the level of statistical significance for all tests. Future research should include relevant physical examination findings and chest X-ray findings, which could be important in the risk prediction model.

In this case, if the predicted risks for readmitted patients are all higher than for patients who are not questionnaiire, the model discriminates perfectly with c -statistic of 1. Primary endpoint was day readmission rate and the KCCQ score. 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.

Given only 48 readmissions in our study population, we included only 7 parameters besides the KCCQ score in the full model model 5. It is estimated that heart failure HF affects over 5. Responsiveness refers to the ability of a measure to track accurately a phenomenon when it does change.

The Kansas City Cardiomyopathy Questionnaire

In a systematic review of studies describing the association between traditional patient characteristics and readmission after hospitalization for HF, left ventricular EF, as well as other factors such as demographic characteristics, comorbid conditions, and New York Heart Association class, was associated with readmission in only a minority of cases [ 13 ].

Reliability and Responsiveness Reliability refers to the ability of a measure to produce consistent results when the measured phenomenon is unchanged. 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. Comments Seng Khiong Jong — 14 May – To further investigate the effect of each independent variable while controlling other covariates, multivariate analyses were performed Table 3 and Figure 1.

Validity refers to the degree to which an instrument measures what it is supposed to measure.