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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The average KCCQ score was significantly higher in the nonreadmitted patients than in readmitted patients One possible auestionnaire could be that patients who have had a myocardial infarction are more likely to have wall motion abnormalities and fixed myocardial defects and thus a lower ejection fraction questionnaird those with nonobstructive coronary artery disease without an MI, leading to opposite contribution to HF readmission.

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. 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.

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 facilitate the interpretation of cross-sectional KCCQ scores, 1, patients assessed 3 months after a myocardial infarction complicated by heart failure were followed for 1 year survival and heart failure hospitalization.

Jackie Miles — 20 July – How could i get a copy of the soft copy?

Kansas City Cardiomyopathy Questionnaire (KCCQ)

This figure describes the Kaplan-Meier curves for this study:. Validity refers to the degree to which an instrument measures what it is supposed to measure. To further investigate the effect of each independent variable while controlling other covariates, multivariate analyses were performed Table 3 and Figure 1. Postdischarge readmission information was gathered through follow-up interview with the patient. It contributed to improving the c -statistics of a model based on age, gender, medications, laboratory data, and LVEF available at discharge from 0.


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.

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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? In addition, KCCQ score measured 1 week after hospital discharge independently predicted one-year survival free of cardiovascular readmission [ 9 ]. Questipnnaire Quality and Outcomesvol. Introduction It is estimated that heart failure HF affects over 5. Primary endpoint was day readmission rate and the KCCQ score.

For patients experiencing large, moderate and small deteriorations in their condition, KCCQ Overall Summary scores decreased by In this analysis, we also used integrated discrimination improvement IDIdescribed by Questipnnaire et al. Responsiveness refers to the ability of a measure to track accurately a phenomenon when it does change. Therefore, whether KCCQ score can be used to predict the short-term questinnaire has yet to be completely evaluated.

KCCQ – Kansas City Cardiomyopathy Questionnaire

None of the comorbidities showed significant difference in the relative frequency between the readmission and nonreadmission group Table 1. In the multivariate analysis, logistic regression models were used, and adjusted odds ratios OR were estimated for each kvcq hypothesized to predict HF readmission.

The questionnaire was well accepted by the participating patients.

The study was conducted at Florida Hospital, Orlando Campus. KCCQ score provided important prognostic information for predicting day readmission and it can significantly improve prediction reliability along with other critical components.

Admission comorbid conditions, demographics, laboratory, echocardiographic data, and medications on discharge were secondary endpoints. Among these patients, questiobnaire magnitude and direction of change was as follows: 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. The c -statistic indicated that model 5 which included KCCQ score and all other potential predictors had the highest c -statistic value 0.


Only two models have generated c -statistics greater than 0. 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.

The Kansas City Cardiomyopathy Questionnaire (KCCQ)

Summary of KCCQ score, lab tests, and discharge medication between HF readmission and nonreadmission within 30 days after discharge. 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. As seen in Table 4the IDI analysis demonstrated that the discriminatory performance of model 5 improved by 6.

The KCCQ score, lab test results on admission, and discharge medications were compared between the nonreadmitted and readmitted patients Table 2.

questionnaore For those questionnairre no, small, moderate and large improvements in their heart failure, the KCCQ scores improved by 1. 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 occq life.

However, neither of the two models included KCCQ scores. We then performed multivariate analysis to investigate how each clinical factor was associated with HF readmissions after controlling for the other factors. The full model model 5which included the KCCQ score, increased the c -statistics of 0.

In total, patients were enrolled in the study. This questionnaire identified the following clinically relevant domains: 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 ].

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