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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Additional clinical studies need to be done in multiple centers with a larger sample size to validate our finding.
We only administered the KCCQ one time during the hospitalization, which would not reflect changes between admission, during hospitalization, and after hospitalization. One possible interpretation 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 than those with nonobstructive coronary artery disease without an MI, leading to opposite contribution to HF readmission.
Heart failure HF is one of the most common diagnoses associated with hospital readmission.
KCCQ – Kansas City Cardiomyopathy Questionnaire
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 ].
Stan Kaufman — 11 September – Reliability refers to the ability of a measure to produce consistent results when the measured phenomenon is unchanged. Even those with small clinical deteriorations or improvements 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.
The KCCQ score, lab test results on admission, and discharge medications were compared between the nonreadmitted and readmitted patients Table 2. For brevity, only the performance characteristics of the overall summary score are presented in this discussion.
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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 average KCCQ score was significantly higher in the nonreadmitted patients than in readmitted patients Readmission of HF after hospitalization is common, and unfortunately many of these readmissions are predictable and possibly preventable [ 23 ]. To further investigate the effect of each independent variable while controlling other covariates, multivariate analyses were performed Table 3 quedtionnaire Figure 1.
View at Google Scholar S. To receive news and publication updates for Cardiology Research and Practice, enter your email address in the box below. For each domain, the validity, reproducibility, responsiveness and interpretability have been independently established. Comparison of ROC area among different models.
These factors could also be important in the risk prediction model.
The authors found that it was feasible to use the KCCQ during acute HF hospitalizations and was sensitive to clinical improvement, but score changes during hospitalization did not predict day readmission. Indexed in Science Citation Index Expanded. Summary of multivariate analysis investigating the effects of demographic characteristics, medical history, discharge medication, lab test, and overall KCCQ score on readmission rate within 30 days after discharge.
The sample consisted of consecutively recruited outpatients of a queationnaire department in Germany. For those with no, small, moderate and large improvements in their heart failure, the KCCQ scores improved by 1. Results In total, patients were enrolled in the study.
The Kansas City Cardiomyopathy Questionnaire (KCCQ)
In this study, we found that HF patients who had questionbaire KCCQ score at time of discharge and lower EF and of male gender qhestionnaire to be more prone for readmission within 30 questionnairw.
Reliability and Responsiveness Reliability refers to the ability of a measure to produce consistent results when the measured phenomenon is unchanged. Models are typically considered reasonable when the c -statistic is greater than 0.
This study was performed in a single-community medical center, and further studies in other centers or multiple centers need to be done to validate our findings.
In a systematic kkccq 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 ]. These findings were questionnairr to some studies but not others. April 29, Cardiovascular Quality and Outcomesvol. The KCCQ proved to be a reliable and valid self-report instrument for measuring disease-specific quality of life in chronic heart failure.
There was no significant difference between the nonreadmitted and readmitted patients in terms of average age Given only 48 readmissions in our study population, we included only 7 parameters besides quetsionnaire KCCQ score in the full model model 5.
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 mentioned above, there are multiple factors contributing to HF readmission; therefore, risk prediction models including and weighing all relevant factors were developed. Only two models have generated c -statistics greater than 0.
Postdischarge readmission information was gathered through follow-up interview with the patient. An alternative approach to interpreting clinical changes is to appreciate the prognostic significance of changes in scores. Comments Seng Khiong Jong — 14 May – Responsiveness refers to the ability of a measure to track accurately a phenomenon when it does change.
Summary of demographic characteristics and medical history between HF readmission and nonreadmission within 30 days after discharge.
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.
This instrument was questionbaire and validated by John Spertus. These concerning statistics paved the way for a stronger focus on tools to predict and prevent such readmissions.
All values were two-tailed, and was set as the level of statistical significance for all tests. A follow-up conversation was performed over the telephone 30 days after discharge to determine if rehospitalization occurred or not. We enrolled patients who met the study criteria. This questionnaire identified the following clinically relevant domains: The Kansas City Cardiomyopathy Questionnaire is the most sensitive, specific, and responsive health-related quality of life measure for heart failure.
As a matter of fact, no specific patient or questionnairw factors have been shown to consistently predict kcxq readmission after hospitalization for HF.