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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Admission comorbid conditions, demographics, laboratory, echocardiographic data, and medications on discharge were secondary endpoints.

Reliability refers to the ability of a measure to produce consistent results when the measured phenomenon is unchanged. As a matter of fact, no specific patient or hospital factors have been shown to consistently predict day readmission after hospitalization for HF. Thus, the aim of the present study was to evaluate the German version of cxrdiomyopathy new heart failure-specific quality of life measure, the Kansas City Cardiomyopathy Questionnaire KCCQ.

For those with no, small, moderate and large improvements in their heart failure, the KCCQ scores improved by 1. Although new data showed reduction in Medicare hospital readmission rates [ 4 ], HF is still one of the most common diagnoses associated with day readmission; an analysis of to Medicare claims-based data showed that Heart failure HF is one of the most common diagnoses associated with hospital readmission.

One of them is the automated model developed by Amarasingham et al. Only two models have generated c -statistics greater than 0. Baseline and 3-month Lccq overall summary scores were In total, patients were enrolled in the study. Reliability and Responsiveness Reliability refers to the ability of a measure to produce consistent results when the measured phenomenon is unchanged. In addition, KCCQ score measured 1 week after hospital discharge independently predicted one-year survival free of cardiovascular readmission [ 9 ].

The average KCCQ score was significantly higher in the nonreadmitted patients than in readmitted patients Previous studies have shown that KCCQ score correlated with survival and hospitalization in patients with HF [ kansaa ] and was an independent predictor of poor prognosis in this patient population [ 8 ].

The Kansas City Cardiomyopathy Questionnaire (KCCQ)

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

Jackie Miles — 20 July – The KCCQ proved to be a reliable and valid self-report instrument for measuring disease-specific quality of life in chronic heart failure.

Adjusted odds ratios of readmission within 30 days after discharge derived from multivariate logistic regression analysis. Postdischarge readmission information was gathered through follow-up interview with the patient.

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In order to kahsas 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. For brevity, only the performance characteristics of the overall summary score are presented in this discussion.

Summary of demographic characteristics and medical history between HF readmission and nonreadmission within 30 cardiomhopathy after discharge. All analyses were performed by Stata version 14 StataCorp. 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 ]. Competency in Medical Knowledge. 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.

To further investigate the effect of each independent variable while controlling other covariates, multivariate analyses were performed Table 3 and Figure 1. Patients’ health-related quality of life is increasingly being included as an additional endpoint when evaluating the treatment of chronic heart failure.

The Kansas City Cardiomyopathy Questionnaire (KCCQ)

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.

In the jansas analysis, logistic regression models were used, and adjusted odds ratios OR were estimated for each factor hypothesized to predict HF readmission.

The examination of sensitivity to change yielded promising results. However, no significant difference was detected on comparing discharge medications, blood sodium level, or HGB between the two groups of patients in the univariate analysis Table 2. Test-retest-reliability xity high intraclass correlation coefficient 0. Exclusion criteria were noncardiac disease with a life expectancy of less than one year, HF due to uncorrected valvular heart disease, psychiatric questionaire interfering with an appropriate follow-up, inability to understand study procedure, and inability to provide questionnare consent.

As age was a continuous variable and race was questionnsire binary variable, normal linear regression was used for age while logistic regression was used for race imputation. These concerning statistics paved the way for a stronger focus on tools to predict and prevent such readmissions.

Cardiology Research and Practice. December 16, One is to examine the prognostic significance of KCCQ scores and the other is to benchmark score changes against clinical assessments of change.

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. A follow-up conversation was performed over the telephone 30 days after discharge to determine if rehospitalization occurred or not.

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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. 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.

This is an open access article distributed under the Creative Commons Attribution Licensewhich permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. How could i get a copy of the soft copy? 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 university department in Germany.

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. 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.

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. Interpretability Several mechanisms for establishing standards for interpreting scores are available.

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Cardiovascular Quality and Outcomesvol. Subscribe to Table of Contents Alerts. He defined a statistical analysis approach that correlates patient responses to the questions to other existing data — such as echocardiogram results, for instance.

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? Patients who were admitted to the HF unit were screened and enrolled for the study.