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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Thus, the aim of the present study was to evaluate the German version of a new heart failure-specific quality of life measure, the Kansas City Cardiomyopathy Questionnaire KCCQ. As seen in Table 4the IDI analysis demonstrated that the discriminatory performance of model 5 improved by 6.
To address these gaps in knowledge and explore the feasibility of using the KCCQ score to predict quewtionnaire short-term HF readmission, we designed and conducted this prospective study.
For day readmission after HF hospitalization, several models have been developed.
The Kansas City Cardiomyopathy Questionnaire
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 ].
If you signup and loginyou can post comments. Comparison of ROC area among different models. It is estimated that heart failure HF affects over 5.
In total, patients were enrolled in the study.
Sarah Kosowan — 07 August – Comments There are no comments so far. These factors could also be important in the risk prediction model.
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.
For patients experiencing large, moderate and small deteriorations in their condition, KCCQ Overall Summary scores decreased by We only administered the KCCQ one time during the hospitalization, which would not reflect changes between admission, during hospitalization, and after hospitalization.
Even those with small clinical deteriorations or improvements Cardiology Research and Practice. In the KCCQan overall summary score can be derived from the physical function, symptom frequency and severitysocial function and quality of life domains. 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.
More recently, KCCQ score was used to assess the feasibility of reflecting the changes of acute HF during hospitalization and predicting day readmission. 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. It contributed to improving the c -statistics of a model based on age, gender, medications, laboratory data, and LVEF available at discharge from 0.
As a matter of fact, no specific patient or hospital factors have been shown to consistently predict day readmission after hospitalization for HF. As no nested missing pattern was detected, multiple imputation models were used for data imputation.
These findings were similar to some studies but not others. Comments Seng Khiong Jong — 14 May – Construct validity was demonstrated with strong correlations to respective subscales of the SF Results In total, patients were enrolled in the study. Adjusted odds ratios of readmission within 30 days after discharge derived from multivariate logistic regression analysis.
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 ]. Among these patients, the magnitude and direction of change was as follows: 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 ].
April 29, He performed large-scale validation studies that compared KCCQ data against these other data and used these results to further refine the questions. 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.
We then performed multivariate analysis to investigate how each clinical factor was associated with HF readmissions after controlling for the other factors. 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.
In addition, KCCQ score measured 1 week after hospital discharge independently predicted one-year survival free of cardiovascular readmission [ 9 ]. John Spertus once he finshed his fellowship and became director of clinical research at the Mid-America Heart Institute, which is located in Kansas City. December 16, The Kansas City Cardiomyopathy Questionnaire is the leading health-related quality-of-life measure for patients with congestive heart failure.
Heart failure is one of the most common diagnoses associated with readmission. View at Google Scholar S. 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.
The Kansas City Cardiomyopathy Questionnaire (KCCQ)
Only two models have generated c -statistics greater than 0. The mean change in KCCQ scores was significantly different for all categories of change compared to stable patients. This figure describes the Kaplan-Meier curves for this study: Table of Contents Alerts.
To further investigate the effect of each independent variable while controlling other covariates, multivariate analyses were performed Table 3 and Figure 1. For brevity, only the performance characteristics of the overall summary score are presented in this discussion.