Symptom Burden and Quality of Life in Advanced Head and Neck Cancer Patients: AIIMS Study of 100 Patients

Aim:

Head and neck cancers (HNCa) are the most common cancers among males in India and 70-80% present in advanced stage. The study aims to assess symptom burden and quality of life (QOL) in advanced incurable HNCa patients at presentation.

Materials and Methods:

One hundred patients were asked to fill EORTC QLQ-C15-PAL questionnaire, which consisted of Global QOL, physical functioning (PF), emotional functioning (EF), fatigue (FA), nausea-vomiting (NV), pain (PA), dyspnea (DY), sleep (SL), appetite (AP), and constipation (CO). Additional questions pertaining to swallowing (SW), hoarseness (HO), cough (CG), weight loss (WL), using pain killers (PK), taste (TA), bleeding (BL), hearing (HE), pain in neck lump (PALMP), opening mouth (OM), and oral secretions (OS) were asked based on a modified EORTC-HN35 questionnaire. Scoring was according to EORTC scoring manual. Mean, median and range were calculated for each item for the entire cohort.

Results:

The female:male ratio was 17:83.42% of them were ≥60 years of age. Sixty-six patients had T4, 25 had T3, 36 had N2, and 33 had N3 disease. Median QOL was 50 (range 0-83.33) and PF was 77.78 (0-100). Median score for EF and FA was 50. Median score for PA, PK, and SL was 66.67 while that for AP was 33.33. Median value for SW, HO, WL, BL, PALMP, OM, and OS was 33.33 (100-0) while TA, CG, NV, DY, and HE had a median score of 0.00.

Conclusion:

Advanced HNCa has a significant burden of symptoms. These results would help in giving patients better symptom directed therapies and improve their QOL.

Symptom Burden and Quality of Life in Advanced Head and Neck Cancer Patients: AIIMS Study of 100 Patients. Indian J Palliat Care. 2014;20:189-193. [PMID: 25191005 DOI: 10.10.4103/0973-1075.138389]

AIM

Head and neck cancers (HNCa) are the most common cancers among males in India and 70-80% present in advanced stage. The study aims to assess symptom burden and quality of life (QOL) in advanced incurable HNCa patients at presentation.

MATERIALS AND METHODS

One hundred patients were asked to fill EORTC QLQ-C15-PAL questionnaire, which consisted of Global QOL, physical functioning (PF), emotional functioning (EF), fatigue (FA), nausea-vomiting (NV), pain (PA), dyspnea (DY), sleep (SL), appetite (AP), and constipation (CO). Additional questions pertaining to swallowing (SW), hoarseness (HO), cough (CG), weight loss (WL), using pain killers (PK), taste (TA), bleeding (BL), hearing (HE), pain in neck lump (PALMP), opening mouth (OM), and oral secretions (OS) were asked based on a modified EORTC-HN35 questionnaire. Scoring was according to EORTC scoring manual. Mean, median and range were calculated for each item for the entire cohort.

RESULTS

The female:male ratio was 17:83.42% of them were ≥60 years of age. Sixty-six patients had T4, 25 had T3, 36 had N2, and 33 had N3 disease. Median QOL was 50 (range 0-83.33) and PF was 77.78 (0-100). Median score for EF and FA was 50. Median score for PA, PK, and SL was 66.67 while that for AP was 33.33. Median value for SW, HO, WL, BL, PALMP, OM, and OS was 33.33 (100-0) while TA, CG, NV, DY, and HE had a median score of 0.00.

CONCLUSION

Advanced HNCa has a significant burden of symptoms. These results would help in giving patients better symptom directed therapies and improve their QOL.

An investigation of symptom burden and quality of life in Chinese chemo-naïve advanced lung cancer patients by using the Instrument-Cloud QOL System

OBJECTIVES

This study was designed to assess the disease-related symptom burden and quality of life (QOL) in Chinese chemo-naïve advanced lung cancer patients.

MATERIALS AND METHODS

Chemo-naïve patients with stage III/IV lung cancer were enrolled. 43 centers from 16 provinces of China participated in the study. Functional Assessment of Cancer Therapy-Lung (FACT-L) scale and Cloud QOL System were applied in the study.

RESULTS

376 eligible patients were analyzed. The three most common and severe symptoms were appetite loss (84.3%, scored 2.46), breathing difficulty (79.0%, scored 2.56), and cough (75.5%, scored 2.81). Significant correlation was found between QOL and symptoms. Regression analysis of QOL indicated that almost every symptom item (except shortness of breath) was the negative indicator of QOL. Moreover, pulmonary diseases, pleural metastases and brain metastases had significant negative impact on both symptoms and QOL. Relatively poor performance status affected the QOL only, while cardiovascular diseases merely affected the symptoms. And patients with EGFR mutations had less symptom burden than those with wild-type EGFR.

CONCLUSION

QOL evaluation by using the Cloud QOL System was feasible. Appetite loss, breathing difficulty and cough were the three most common and severe symptoms seen in Chinese chemo-naïve advanced lung cancer patients. Almost all symptoms had negative impact on QOL. And some clinical characteristics could predict the symptoms and QOL.

Symptom burden predicts nursing home admissions among older adults

CONTEXT

Symptom burden has been associated with functional decline in community-dwelling older adults and may be responsive to interventions. Known predictors of nursing home (NH) admission are often nonmodifiable.

OBJECTIVES

To determine if symptom burden independently predicted NH admission among community-dwelling older adults over an eight and a half-year follow-up period.

METHODS

A random sample of community-dwelling Medicare beneficiaries in Alabama, stratified by race, gender, and rural/urban residence had baseline in-home assessments of sociodemographic measurements, Charlson comorbidity count, and symptoms. Symptom burden was derived from a count of 10 patient-reported symptoms. Nursing home admissions were determined from telephone interviews conducted every six months over the eight and a half years of study. Cox proportional hazard modeling was used to examine the significance of symptom burden as a predictor for NH admission after adjusting for other variables.

RESULTS

The mean ± SD age of the sample (N = 999) was 75.3 ± 6.7 years, and the sample was 51% rural, 50% African American, and 50% male. Thirty-eight percent (n = 380) had symptom burden scores ≥2. Seventy-five participants (7.5%) had confirmed dates for NH admission during the eight and a half years of follow-up. Using Cox proportional hazard modeling, symptom burden remained an independent predictor of time to NH placement (hazard ratio = 1.11; P = 0.02), even after adjustment for comorbidity count, race, sex, and age.

CONCLUSION

Symptom burden is an independent risk factor for NH admission. Aggressive management of symptoms in older adults may reduce or delay NH admission.

Symptom burden in chronic kidney disease: a review of recent literature

BACKGROUND

People living with chronic kidney disease (CKD) experience multiple symptoms due to both the disease and its treatment. However, these symptoms are often underrecognised. In addition, the majority of studies have focused on an individual symptom; however, these symptoms rarely occur in isolation and may instead occur in clusters.

AIM OF REVIEW

To investigate the total symptom burden in advanced CKD (Stages 4 and 5) and to identify the key instruments that are used to assess multiple symptoms.

METHODS

A literature search from 2006 to 2012 was undertaken and a total of 19 articles were included.

RESULTS

The most common CKD symptoms were fatigue or lack of energy, feeling drowsy, pain and pruritus. However, symptom assessment instruments varied between studies, often with inconsistent or inadequate symptom dimensions.

CONCLUSION

People with CKD experience a high symptom burden, although little is known about the burden for people with CKD Stage 4 and for those with CKD Stage 5 receiving peritoneal dialysis. This review recommends that a full range of symptoms be assessed for those at different stages of CKD. Improved understanding of the burden of symptoms can be used as the basis for treatment choices and for identifying priorities which are likely to contribute to a better quality of life and improve the quality of care.