Identifying relative cut-off scores with neural networks for interpretation of the minnesota living with heart failure questionnaire

Abstract

The identification of three levels of MLHFQ should be useful in clinical decision making.

Identifying cut‐off scores for interpretation of the Heart Failure Impact Questionnaire

“…Among the two scoring system, the most frequently used for both generic and disease‐specific measures. The MLHFQ subscales screening for physical dimension and emotional dimension to give more specific information about a special group and reveals more sensitive results (Behlouli et al, ; Bilbao, Escobar, García‐Perez, Navarro, & Quirós, ). The other instrument is the SF‐36, which is the generic measure of QOL and gives validated, reliable and multidimensional results.…”

Circulating levels of a biomarker of collagen metabolism are associated with health-related quality of life in patients with chronic heart failure

“…This relationship was significant both in categorical and quantitative terms. Reclassification of patients regarding quality of life [25] during the 6 month follow-up was associated with respective changes in CITP levels. Conversely, significant changes in CITP levels with regard to analytic variation of the measure (SD/2) were seen in line with similar significant changes in MLHFQ score.…”

“…For perspective, a 5-unit difference was associated with a moderate clinical change [22,43]. Our MLHFQ scores viewed either from a categorical (categories of \ 24, 24-45 and [ 45 scores [25]) or a quantitative (5-unit changes [22,43]) point could be associated with at least moderate changes in clinical status.…”

“…The independent association between CITP levels and MLHFQ scores were assessed by constructing multivariable linear regression models adjusted for the potential confounding influence of clinical and therapeutic or laboratory characteristics. The following characteristics were included in all the multivariable linear models as potential covariates or predictors of HRQOL scores along with CITP levels if were shown to be significant on univariable linear analysis: age, gender, etiology of heart failure, systolic blood pressure levels, heart rate, body mass [25]. Change in classes of HRQOL based on MLHFQ scores were defined as follows: ''Worse HRQOL'' was defined when a patient deteriorated from good (\24 MLHFQ score) to moderate (24-45 MLHFQ score) or to poor class ([45 MLHFQ score) and also when a patient deteriorated from moderate to poor class.…”

Patient-reported outcomes and associations with pleural effusion in outpatients with heart failure: an observational cohort study

“…16 We defined a MLHFQ-score >40 to be an indicator for poor QoL as this cut-off includes the patients that scores in the upper quartile of the moderate QoL category. 17 Clinical examination, blood tests and medications The specialised nurses examined the patients at all visits. The clinical examinations included ECG (sinus rhythm or not), measurement of the blood pressure (mm Hg), heart rate (beats/min) and weight (to nearest 0.5 kg).…”