prognostic tools for congestive heart failure (315-b)

1
Background. Heart failure (HF) is a common chronic medical condition worldwide that im- pacts quality of life (QoL). Research objectives. To identify predictors of heart-related QoL and change over time among patients with HF. Method. We conducted a prospective cohort study to survey outpatients with HF receiving standard cardiology care at baseline and at 3-6 month follow-up. We assessed QoL with the Min- nesota Living with HF Questionnaire (MLHFQ), pain (Brief Pain Inventory) and depression (CES-D). Result. Participants (N ¼ 104) were on average 53 years old and had NYHA HF Class II (57%) or III (43%). The mean score on the MLHFQ (range: 0[better]-105[worse]) was 49.5 (Class II ¼ 36.7, Class III ¼ 66.0). While HF Class, comor- bidities, depression, pain, and dyspnea were as- sociated with QoL (p # 0.05), multivariate linear regression analysis identified variables making the strongest contribution other than HF Class (13.8%), were dyspnea (4.5%) and de- pression (13.7%). At follow-up, subjects (n ¼ 73) with Class III had improved QoL (mean ¼ 67.9- 59.6; n ¼ 34, p ¼ 0.01), but not those with Class II (mean ¼ 37.7-35.8; n ¼ 39, p ¼ 0.41). Nearly half of patients 47.9% (n ¼ 35) had a clinically meaningful improvement (5-points). After ad- justing for HF Class, depression, and pain inter- ference, logistic regression analysis revealed that only HF Class was associated with improvement in QoL (Class III: OR ¼ 4.1, 95% CI ¼ 1.2,13.3). Conclusion. Depression and dyspnea are associ- ated with diminished QoL independent of HF Class. While patients with Class III HF had poor- er QoL at baseline, they were more likely to im- prove over time receiving standard care. Implications for research, policy, or practice. By addressing depression and other symptoms, palliative care consultations, provided concur- rently with standard care may lead to greater improvements in QoL for patients with HF. Prognostic Tools for Congestive Heart Failure (315-B) Veeravat Taecharvongphairoj, MD, VA Greater Los Angeles, Los Angeles, CA. Jaime Goldberg, LCSW, VA Greater Los Angeles, Los Angeles, CA. Anne Walling, MD PhD, VA Greater Los Angeles Healthcare System, Los Angeles, CA. Kenneth Rosenfeld, MD, VA Greater Los An- geles, Los Angeles, CA. Karl Lorenz, MD, VA Greater Los Angeles, Los Angeles, CA. (All authors listed above for this session have dis- closed no relevant financial relationships.) Objectives 1. Recognize the importance of prognostica- tion in palliative care and describe chal- lenges of prognostications. 2. Review results of systematic review for prog- nostic tools for congestive heart failure. Background. Congestive heart failure (CHF) is a major cause of death in the U.S. Accurate prognostication is important to frame care plan- ning in palliative care consultation but is often a challenging task, especially for non-malignant life-limiting illness. Aim. We performed a systematic review to iden- tify clinically useful prognostic tools for conges- tive heart failure (CHF) published between January 1, 1990 through December 31, 2010. Methods/Session descriptions. Broad search cri- teria were used and two physicians indepen- dently reviewed titles, abstracts, and full articles using explicit criteria. Areas of disagreement for inclusion were discussed until agreement reached at each level of analysis. References of articles included in our final review were also re- viewed in detail to ensure completeness. Final articles were evaluated based on their study de- sign, study population, scoring, limitations, and the availability of variables needed to calculate the prognostic score. 1,597 publications were identified with our search criteria, and after structured review, ulti- mately 37 publications were found to report on clinically useful prognostic tools, and 32 distinct prognostic tools were identified. Only one tool was specifically designed to determine hospice eligibility. While the majority of these tools have only been validated in small sample sizes, we identified 9 tools (7 inpatient, 2 outpatient) that have been validated in large populations (N > 1000) and have been validated in at least two studies. Conclusion. Statistically validated prognostic tools are available for CHF and may be used to enhance prognostication during palliative care consultation. Vol. 43 No. 2 February 2012 345 Schedule With Abstracts

Upload: veeravat-taecharvongphairoj

Post on 07-Sep-2016

216 views

Category:

Documents


1 download

TRANSCRIPT

Page 1: Prognostic Tools for Congestive Heart Failure (315-B)

Vol. 43 No. 2 February 2012 345Schedule With Abstracts

Background. Heart failure (HF) is a commonchronic medical condition worldwide that im-pacts quality of life (QoL).

Research objectives. To identify predictors ofheart-related QoL and change over time amongpatients with HF.

Method. We conducted a prospective cohortstudy to survey outpatients with HF receivingstandard cardiology care at baseline and at 3-6month follow-up. We assessed QoL with the Min-nesota Living with HF Questionnaire (MLHFQ),pain (Brief Pain Inventory) and depression(CES-D).

Result. Participants (N ¼ 104) were on average53 years old and had NYHA HF Class II (57%)or III (43%). The mean score on the MLHFQ(range: 0[better]-105[worse])was 49.5 (Class II¼36.7, Class III ¼ 66.0). While HF Class, comor-bidities, depression, pain, and dyspnea were as-sociated with QoL (p # 0.05), multivariatelinear regression analysis identified variablesmaking the strongest contribution other thanHF Class (13.8%), were dyspnea (4.5%) and de-pression (13.7%). At follow-up, subjects (n ¼ 73)with Class III had improved QoL (mean ¼ 67.9-59.6; n ¼ 34, p ¼ 0.01), but not those with ClassII (mean ¼ 37.7-35.8; n ¼ 39, p ¼ 0.41). Nearlyhalf of patients 47.9% (n ¼ 35) had a clinicallymeaningful improvement (5-points). After ad-justing for HF Class, depression, and pain inter-ference, logistic regression analysis revealed thatonly HF Class was associated with improvementin QoL (Class III: OR ¼ 4.1, 95% CI ¼ 1.2,13.3).

Conclusion. Depression and dyspnea are associ-ated with diminished QoL independent of HFClass. While patients with Class III HF had poor-er QoL at baseline, they were more likely to im-prove over time receiving standard care.

Implications for research, policy, or practice. Byaddressing depression and other symptoms,palliative care consultations, provided concur-rently with standard care may lead to greaterimprovements in QoL for patients with HF.

Prognostic Tools for Congestive HeartFailure (315-B)Veeravat Taecharvongphairoj, MD, VA GreaterLos Angeles, Los Angeles, CA. Jaime Goldberg,LCSW, VA Greater Los Angeles, Los Angeles,

CA. Anne Walling, MD PhD, VA Greater LosAngeles Healthcare System, Los Angeles, CA.Kenneth Rosenfeld, MD, VA Greater Los An-geles, Los Angeles, CA. Karl Lorenz, MD, VAGreater Los Angeles, Los Angeles, CA.(All authors listed above for this session have dis-closed no relevant financial relationships.)

Objectives1. Recognize the importance of prognostica-

tion in palliative care and describe chal-lenges of prognostications.

2. Review results of systematic review for prog-nostic tools for congestive heart failure.

Background. Congestive heart failure (CHF) isa major cause of death in the U.S. Accurateprognostication is important to frame care plan-ning in palliative care consultation but is oftena challenging task, especially for non-malignantlife-limiting illness.

Aim. We performed a systematic review to iden-tify clinically useful prognostic tools for conges-tive heart failure (CHF) published betweenJanuary 1, 1990 through December 31, 2010.

Methods/Session descriptions. Broad search cri-teria were used and two physicians indepen-dently reviewed titles, abstracts, and full articlesusing explicit criteria. Areas of disagreementfor inclusion were discussed until agreementreached at each level of analysis. References ofarticles included in our final review were also re-viewed in detail to ensure completeness. Finalarticles were evaluated based on their study de-sign, study population, scoring, limitations, andthe availability of variables needed to calculatethe prognostic score.1,597 publications were identified with oursearch criteria, and after structured review, ulti-mately 37 publications were found to report onclinically useful prognostic tools, and 32 distinctprognostic tools were identified. Only one toolwas specifically designed to determine hospiceeligibility. While the majority of these toolshave only been validated in small sample sizes,we identified 9 tools (7 inpatient, 2 outpatient)that have been validated in large populations(N > 1000) and have been validated in at leasttwo studies.

Conclusion. Statistically validated prognostictools are available for CHF and may be used toenhance prognostication during palliative careconsultation.