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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Test-retest-reliability was high intraclass correlation coefficient 0. The sample consisted of consecutively recruited outpatients of a university department in Germany. KCCQ score provided important prognostic information for predicting day readmission and it can significantly improve prediction reliability along with other critical components. Exclusion criteria were noncardiac disease with a life expectancy of less than one year, HF due to uncorrected valvular heart disease, psychiatric illness interfering with an appropriate follow-up, inability to understand study procedure, and inability to provide informed consent.

As seen in Table 4the IDI analysis demonstrated that the discriminatory performance of model 5 improved by 6. One possible interpretation could be that patients who have had a myocardial infarction are more likely to have wall motion mccq and fixed myocardial defects and thus a lower ejection fraction than those with nonobstructive coronary artery disease without an MI, qquestionnaire to opposite contribution to HF readmission.

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

The average KCCQ score was significantly higher in the nonreadmitted patients than in readmitted patients Summary of demographic characteristics and medical history between HF readmission and nonreadmission within 30 days after discharge. We only administered the KCCQ one time during the hospitalization, which would not reflect changes between admission, during hospitalization, and after hospitalization.

As mentioned above, there are multiple factors contributing to HF readmission; therefore, risk prediction models including and weighing all relevant factors were developed. We designed this prospective study to evaluate whether Kansas City Cardiomyopathy Questionnaire KCCQ score is associated with day readmission in patients hospitalized with decompensated HF.

To evaluate associations between KCCQ score and readmission within 30 days after discharge, we first compared the difference between the nonreadmission group and readmission group in terms of the KCCQ scores, demographic characteristics, comorbidity, medications, and laboratory data using univariate analysis. 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.


These factors could also be important in the risk prediction model. Interpretability Several mechanisms for establishing standards for interpreting scores are available. 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 KCCQ proved to be a reliable and valid self-report instrument for measuring disease-specific quality of life in chronic heart failure.

The Kansas City Cardiomyopathy Questionnaire (KCCQ)

For day readmission after HF hospitalization, several models have been developed. The Kansas City Cardiomyopathy Questionnaire is the most sensitive, specific, and responsive health-related quality of life measure for heart failure. Even those with small clinical deteriorations or improvements suestionnaire More recently, KCCQ has also been studied during acute HF hospitalization and demonstrated sensitivity to acute changes, but score changes during hospitalization did not predict short-term readmission [ 10 ], although it was a relatively small study, with a sample size of only 52 patients, and it did not investigate the relationship between KCCQ score and HF readmission.

However, a significant difference between these two groups was noted on comparing gender, with male patients being more prone to being readmitted than female Baseline and 3-month KCCQ overall summary scores were 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.

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 Questiknnaire and BNP, or chest X-ray findings. Primary endpoint was day readmission rate and the KCCQ score.

Kansas City Cardiomyopathy Questionnaire (KCCQ)

For those with no, small, moderate and large improvements in their heart failure, the KCCQ scores improved by 1. For brevity, only the performance characteristics of the overall summary score are presented in this discussion.

These findings may provide some help to guide follow-up strategies towards delivering optimal care, such as encouraging patients with lower KCCQ to have an early follow-up [ 14 ]. Only two models have generated c -statistics greater than 0.

Future research should include relevant physical examination findings and chest X-ray findings, which could be important in the risk prediction model. We then performed multivariate analysis to investigate how each clinical factor was associated with HF readmissions after controlling for the other factors.

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 questionmaire obtained. Stan Kaufman — 11 September – One of them is the automated model developed by Amarasingham et al.


As a matter of fact, no specific patient or hospital factors have been shown to consistently predict day readmission after hospitalization for HF. Competency in Medical Knowledge. In this case, if the predicted risks for readmitted patients are all higher than for patients who are not readmitted, the model discriminates perfectly with c -statistic of 1.

Using Our Site Important information for new users. Overview The Kansas City Cardiomyopathy Questionnaire is a item, self-administered instrument that quantifies physical function, qestionnaire frequency, severity and recent changesocial function, self-efficacy and knowledge, and quality of life.

We enrolled patients who met the study criteria.

Construct validity was demonstrated with strong correlations to respective subscales of the SF There was no significant difference between the nonreadmitted and readmitted questionnare in terms of average age Compared queationnaire readmitted patients, nonreadmitted patients had a higher average KCCQ score Since the validity of each individual domain has been independently established, all components of the summary score are considered valid representations of their intended domains.

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

Patients’ health-related quality of life is increasingly being included as an additional endpoint when evaluating the treatment of chronic heart failure. Scores are transformed to a range of wuestionnaire, in which higher scores reflect better health status. Results In total, patients were enrolled in the study. Lots of efforts have been made to kcccq the predictable factors that are associated quuestionnaire high risk of being readmitted, which has been quite challenging until now.

To further investigate the effect of each independent variable while controlling other covariates, multivariate analyses were performed Table 3 and Figure 1. These data suggest that a 10 point decline in KCCQ scores has important prognostic significance.

None of the comorbidities showed significant difference in the relative frequency between the readmission and nonreadmission group Table 1. How could i get a copy of the soft copy?