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 In this prospective study, we found that the KCCQ score was significantly associated with short-term HF readmission rate. Admission comorbid conditions, demographics, laboratory, echocardiographic data, and medications on discharge were secondary endpoints.

In order to evaluate 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.

The sample consisted of consecutively recruited outpatients of a university department in Germany.

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This questionnaire identified the following clinically relevant domains: For those with no, small, moderate and large improvements in their heart failure, the KCCQ scores improved by 1.

Reliability refers to the ability of a measure to produce consistent results when the measured phenomenon is unchanged. Previous studies have shown that KCCQ score correlated with survival and hospitalization in patients questuonnaire HF [ 7 ] questiomnaire was an independent predictor of poor prognosis in this patient population [ 8 ].

Known groups validity was shown by both statistically and clinically significant differences between NYHA classes. These findings were similar to some studies but not others. As a matter of fact, no specific patient or hospital factors have been shown to consistently predict day readmission after hospitalization for Quesitonnaire. Cardiology Research and Practice. 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.


We then performed multivariate analysis to investigate how each clinical factor was questionnaige with HF readmissions after controlling for the other factors.

Only two models kxcq generated c -statistics greater than 0. In addition, KCCQ score measured 1 week after hospital discharge independently predicted one-year survival free of cardiovascular readmission questioonnaire 9 ]. One is to examine the prognostic significance of KCCQ scores and the other is to benchmark score changes against clinical assessments of change.

Comments Seng Khiong Jong — 14 May – The c -statistic indicated that model 5 which included KCCQ score and all other potential predictors had the highest c -statistic value 0.

The examination of sensitivity to change yielded promising results. These factors could also be important in the risk prediction model.

In the KCCQan overall summary score can be derived from the physical function, symptom frequency and severitysocial function and quality of life domains. It contributed to questionnarie the c -statistics of a model based on age, gender, medications, laboratory data, and LVEF available at discharge from 0.

The study was approved by the Florida Hospital Institutional Review Board and conducted in accordance with the Declaration of Helsinki.

The Kansas City Cardiomyopathy Questionnaire (KCCQ)

This suggests that a mean difference over time of kkccq points on the KCCQ Overall Summary Scale reflects a clinically significant change in heart failure status. More recently, KCCQ score was used to assess the feasibility of reflecting the changes of acute HF during hospitalization and predicting day readmission.

Compared to readmitted patients, nonreadmitted patients had a higher average KCCQ score Competency in Medical Knowledge.

All analyses were performed by Stata version 14 StataCorp. In iccq case, if the predicted risks kcfq readmitted patients are all higher than for patients who are not readmitted, the model discriminates perfectly with c -statistic of 1. Models are typically considered reasonable when the c -statistic is greater than 0. Therefore, whether KCCQ score can be used to predict the short-term readmission has yet to be completely evaluated.

The KCCQ change scores were exquisitely reflective of clinical changes in heart failure both in terms of its directionality improvement versus deterioration and proportion-al-ity of change magnitude — as revealed in this figure: Postdischarge readmission information was gathered through follow-up interview with the patient.


KCCQ – Kansas City Cardiomyopathy Questionnaire

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. KCCQ score provided important prognostic information for predicting day readmission and it can significantly improve prediction reliability along with other critical components. Heart failure HF is one of the most common diagnoses associated with hospital readmission.

The combination of home medication and lab tests on the base model resulted in an integrated discrimination improvement IDI increase of 3. December 16, Overview 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.

For patients experiencing large, moderate and small deteriorations in their condition, KCCQ Overall Summary scores decreased by Patients who were admitted to the HF unit were screened and enrolled for the study. It is estimated that heart failure HF affects over 5. Given only 48 readmissions in our study population, we included only 7 parameters besides the KCCQ score in the full model model 5.

Introduction It is estimated that heart failure HF affects over 5. 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. 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.

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