Quality of Life-Repeated Measurements Are Needed In Dialysis Patients

BACKGROUND: There is a general agreement that, besides survival, the quality of life is a highly relevant outcome in the evaluation of treatment in patients with the end-stage renal disease. Moreover, it is very important to determine whether the quality of life impacts survival.AIM: This study aims to assess whether changes or absolute scores of the quality of life (QOL) measurements better predict mortality in dialysis patients.MATERIAL AND METHODS: In a longitudinal study comprising 162 prevalent hemodialysis patients QOL was assessed with the 36-item - Short Form Health Survey Questionnaire (SF-36) at baseline and after 12 months. Patients were followed for 60 months. Mortality risk was assessed using Cox proportional hazards analysis for patients with below and above median levels of both physical and mental QOL component scores (PCS and MCS, respectively).RESULTS: At the beginning of the study the mean Physical Component score was 47.43 ± 26.94 and mean Mental Component Score was slightly higher 50.57 ± 24.39. Comparative analysis of the changes during the first year showed a marked deterioration of all quality of life scores in surviving patients. The 5-point decline for PCS was noted in 39 (24%) patients and 42 (26%) for MCS. In the follow-up period of 60 months, 69 (43%) patients died. In the Cox analysis, mortality was significantly associated with lower PCS: HR = 2.554 [95% confidence interval (CI): 1.533-4.258], (P < 0.000) and lower MCS: 2.452 (95%CI: 1.478-4.065), P < 0.001. The patients who had lower levels of PCS and MCS in the second QOL survey 1 year later, had similarly high mortality risk: 3.570 (95%CI: 1.896-6.727, P < 0.000); 2.972 (95%CI: 1.622-5.490, P < 0.000), respectively. The hazard ratios for mortality across categories for the change of PCS and MCS were not significant. In the multivariate model categorising the first and second scores as predictors and adjusted for age, only the second PCS and MCS score were associated with mortality.CONCLUSION: Low QOL scores are associated with mortality in repeated measurements, but only the more recent overwhelmed the power of the decline.

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Quality of Life in Parents of Children Born with Esophageal Atresia

European Journal of Pediatric Surgery ◽

10.1055/s-0038-1660867 ◽

2018 ◽

Vol 29 (04) ◽

pp. 371-377 ◽

Cited By ~ 4

Author(s):

Stefanie Witt ◽

Michaela Dellenmark-Blom ◽

Jens Dingemann ◽

Carmen Dingemann ◽

Benno M. Ure ◽

...

Keyword(s):

Quality Of Life ◽

Esophageal Atresia ◽

Family Income ◽

Short Form ◽

Chronically Ill ◽

Physical Component Score ◽

German Population ◽

Component Score ◽

Population Norms

Introduction For parents of chronically ill children, the experiences of caregiving are challenged by increased demands and restrictions imposed by their child's disease. Therefore, this study aims to investigate the quality of life (QoL) in parents of children born with esophageal atresia (EA) and to explore associated factors. Materials and Methods Parents of children (2–17 years) with EA recruited from two German pediatric hospitals participated in this cross-sectional study about QoL in EA. Data on QoL, sociodemographic, and clinical characteristics were collected from parents and children. Parental QoL was assessed using the Short-Form 8 questionnaire, containing eight dimensions aggregated to a mental and physical health summary score which was compared with German representative population norms. Results Forty-nine families (47 mothers and 40 fathers) participated in the study. Compared with German population norms, both mothers and fathers showed significantly lower mental component score (MCS) but no differences in physical component score (PCS). Within the study sample, parents of younger children (2–7 years), severe EA, or high school/kindergarten absence had lower MCSs compared with those with older, less severe, and less absent children. Parental female gender was associated with lower MCS as well as lower family income. Conclusion Parents of children with EA reported lower mental health compared with the general population, especially mothers, and parents of young children, with severe EA, and a frequent school/kindergarten absence. This shows that parents may experience substantial emotional burden and highlights the need for psychosocial support for EA parents, especially in the first years.

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Quality of Life Scores Predict Survival Among Patients With Head and Neck Cancer

Journal of Clinical Oncology ◽

10.1200/jco.2007.12.9510 ◽

2008 ◽

Vol 26 (16) ◽

pp. 2754-2760 ◽

Cited By ~ 97

Author(s):

Carrie A. Karvonen-Gutierrez ◽

David L. Ronis ◽

Karen E. Fowler ◽

Jeffrey E. Terrell ◽

Stephen B. Gruber ◽

...

Keyword(s):

Quality Of Life ◽

Head And Neck Cancer ◽

Head And Neck ◽

Neck Cancer ◽

Short Form ◽

Screening Tools ◽

Physical Component Score ◽

Component Score ◽

Sf 36

Purpose The purpose of this study was to examine whether quality of life (QOL) scores predict survival among patients with head and neck cancer, controlling for demographic, health behavior, and clinical variables. Patients and Methods A self-administered questionnaire was given to 495 patients being treated for head and neck cancer while they were waiting to be seen for a clinic appointment. Data collected from the survey included demographics, health behaviors, and QOL as measured by Short Form-36 (SF-36) physical and mental component scores and the Head and Neck QOL scores. Clinical measures were collected by chart abstraction. Kaplan-Meier plots and univariate and multivariate Cox proportional hazards models were used to determine the association between QOL scores and survival time. Results After controlling for age, time since diagnosis, marital status, education, tumor site and stage, comorbidities, and smoking, the SF-36 physical component score and three of the four Head and Neck QOL scales (pain, eating, and speech domains) were associated with survival. Controlling for the same variables, the SF-36 mental component score and the emotional domain of the Head and Neck QOL were not associated with survival. Conclusion QOL instruments may be valuable screening tools to identify patients who are at high risk for poor survival. Those with low QOL scores could be followed more closely, with the potential to identify recurrence earlier and perform salvage treatments, thereby possibly improving survival for this group of patients.

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Quality of Life and mortality in the general population: a systematic review and meta-analysis

10.21203/rs.2.22428/v3 ◽

2020 ◽

Author(s):

Aung Zaw Zaw Phyo ◽

Rosanne Freak-Poli ◽

Heather Craig ◽

Danijela Gasevic ◽

Nigel Stocks ◽

...

Keyword(s):

Quality Of Life ◽

General Population ◽

Mortality Risk ◽

Population Characteristics ◽

Lower Mortality ◽

Physical Component Score ◽

Component Score ◽

Meta Analyses ◽

Lower Mortality Risk

Abstract Background: Quality of life (QoL) is multi-dimensional concept of an individual’ general well-being status in relation to their value, environment, cultural and social context in which they live. This study aimed to quantitatively synthesise available evidence on the association between QoL and mortality in the general population. Methods: An electronic search was conducted using three bibliographic databases, MEDLINE, EMBASE and PsycINFO. Inclusion criteria were studies that assessed QoL using standardized tools and examined mortality risk in a non-patient population. Qualitative data synthesis and meta-analyses using a random-effects model were performed. Results: Of 4,184 articles identified, 47 were eligible for inclusion, involving approximately 1,200,000 participants. Studies were highly heterogeneous in terms of QoL measures, population characteristics and data analysis. In total, 43 studies (91.5%) reported that better QoL was associated with lower mortality risk. The results of four meta-analyses indicated that higher health-related QoL (HRQoL) is associated with lower mortality risk, which was consistent for overall HRQoL (HR 0.633, 95% CI: 0.514 to 0.780), physical function (HR 0.987, 95% CI: 0.982 to 0.992), physical component score (OR 0.950, 95% CI: 0.935 to 0.965), and mental component score (OR 0.980, 95% CI: 0.969 to 0.992). Conclusion: These findings provide evidence that better QoL/HRQoL was associated with lower mortality risk. The utility of these measures in predicting mortality risk indicates that they should be considered further as potential screening tools in general clinical practice, beyond the traditional objective measures such as body mass index and the results of laboratory tests.

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P.136 Quantifying potential sources of delay in surgical management of cervical spondylotic myelopathy

Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques ◽

10.1017/cjn.2018.238 ◽

2018 ◽

Vol 45 (s2) ◽

pp. S52-S52

Author(s):

V Chan ◽

A Nataraj

Keyword(s):

Quality Of Life ◽

Cervical Spondylotic Myelopathy ◽

Short Form ◽

Research Network ◽

Physical Component Score ◽

Decompression Surgery ◽

Duration Of Symptoms ◽

Component Score

Background: Cervical spondylotic myelopathy is a degenerative condition with a variable clinical course. We aim to quantify the sources of potential delay in management and understand how the timing of these events may affect quality of life measures. Methods: The Canadian Spine Outcomes Research Network Registry was used to identify patients older than 18 years of age and have received cervical decompression surgery from January 1, 2013 to March 1, 2016. The primary outcome was the Short Form-12 Physical Component Score at 12-month follow-up. Four time groups were identified: 1) duration of symptoms, 2) time awaiting surgical consult, 3) time spent monitoring symptoms, and 4) time awaiting surgery. -Multivariate regression was used for analysis. Results: A total of 208 patients were identified. The mean age was 59.5 years. 61.53% of patients had symptoms for >12 months at initial consult. Mean time awaiting surgical consult, monitoring symptoms, and awaiting surgery was 77.2, 60.9, and 46.9 days, respectively. Time awaiting surgery (β=-0.032, p=0.04) was a significant factor for change in Physical Component Score. Conclusions: We found time awaiting surgery to be a significant factor on PSC score at 12-month follow-up. Increased time awaiting surgery may result in negative impacts on quality of life outcomes.

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Comorbidities Might Condition the Recovery of Quality of Life in Survivors of Sepsis

Journal of Intensive Care Medicine ◽

10.1177/0885066617699360 ◽

2017 ◽

Vol 34 (4) ◽

pp. 337-343 ◽

Cited By ~ 2

Author(s):

Gislene C. Erbs ◽

Marco F. Mastroeni ◽

Mauro S. L. Pinho ◽

Álvaro Koenig ◽

Geonice Sperotto ◽

...

Keyword(s):

Quality Of Life ◽

Recovery Rate ◽

Short Form ◽

Physical Component Score ◽

Component Score ◽

Sf 36 ◽

Sepsis Survivors ◽

Group Recovery ◽

A Prospective Study

Purpose: To assess how preexisting disabling comorbidities (DC) affect the recovery rate of quality of life (QOL) over time in sepsis survivors. Methods: A prospective study was conducted on sepsis survivors who answered the 36-Item Short Form Health Survey (SF-36) 7 days after discharge from the intensive care unit. Subsequent interviews were held at 3, 6, and 12 months. The results of the physical component score (PCS) and mental component score (MCS) of the SF-36 were evaluated. Patients were divided into 2 groups to compare patients with DC (DC group) and without DC (no-DC group). Quantile regression was used to model changes in PCS and MCS between different time points. Results: Seventy-nine sepsis survivors were enrolled. After controlling for baseline age and QOL, the QOL scores were lower among patients with DC than in no-DC patients. The QOL of DC group got worse when compared to no-DC group. Recovery rate of PCS and MCS was higher in the DC group than in the no-DC group (PCS: 20.51 vs 16.96, P < .01; MCS: 19.24 vs 9.66, P < .01). Their baseline QOL was recovered only by 6 months after the sepsis episode. Conclusion: Quality-of-life impairment and its recovery rhythm in patients with sepsis appear to be conditioned by coexisting DC.

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Quality of life and mortality in the general population: a systematic review and meta-analysis

BMC Public Health ◽

10.1186/s12889-020-09639-9 ◽

2020 ◽

Vol 20 (1) ◽

Author(s):

Aung Zaw Zaw Phyo ◽

Rosanne Freak-Poli ◽

Heather Craig ◽

Danijela Gasevic ◽

Nigel P. Stocks ◽

...

Keyword(s):

Quality Of Life ◽

General Population ◽

Mortality Risk ◽

Population Characteristics ◽

Lower Mortality ◽

Physical Component Score ◽

Component Score ◽

Meta Analyses ◽

Lower Mortality Risk

Abstract Background Quality of life (QoL) is multi-dimensional concept of an individual’ general well-being status in relation to their value, environment, cultural and social context in which they live. This study aimed to quantitatively synthesise available evidence on the association between QoL and mortality in the general population. Methods An electronic search was conducted using three bibliographic databases, MEDLINE, EMBASE and PsycINFO. Inclusion criteria were studies that assessed QoL using standardized tools and examined mortality risk in a non-patient population. Qualitative data synthesis and meta-analyses using a random-effects model were performed. Results Of 4184 articles identified, 47 were eligible for inclusion, involving approximately 1,200,000 participants. Studies were highly heterogeneous in terms of QoL measures, population characteristics and data analysis. In total, 43 studies (91.5%) reported that better QoL was associated with lower mortality risk. The results of four meta-analyses indicated that higher health-related QoL (HRQoL) is associated with lower mortality risk, which was consistent for overall HRQoL (HR 0.633, 95% CI: 0.514 to 0.780), physical function (HR 0.987, 95% CI: 0.982 to 0.992), physical component score (OR 0.950, 95% CI: 0.935 to 0.965), and mental component score (OR 0.980, 95% CI: 0.969 to 0.992). Conclusion These findings provide evidence that better QoL/HRQoL was associated with lower mortality risk. The utility of these measures in predicting mortality risk indicates that they should be considered further as potential screening tools in general clinical practice, beyond the traditional objective measures such as body mass index and the results of laboratory tests.

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Quality of Life as a predictor of mortality in the general population: a systematic review and meta-analysis

10.21203/rs.2.22428/v1 ◽

2020 ◽

Author(s):

Aung Zaw Zaw Phyo ◽

Rosanne Freak-Poli ◽

Heather Craig ◽

Danijela Gasevic ◽

Nigel Stocks ◽

...

Keyword(s):

Quality Of Life ◽

Mortality Risk ◽

Population Characteristics ◽

Screening Tools ◽

Lower Mortality ◽

Physical Component Score ◽

Component Score ◽

Meta Analyses ◽

Lower Mortality Risk

Abstract Background: Quality of life (QoL) is multi-dimensional concept of an individual’ general well-being status in relation to their value, environment, cultural and social context in which they live. This study aimed to quantitatively synthesise available evidence on the association between QoL and mortality in the general population.Methods: An electronic search was conducted using three bibliographic databases, MEDLINE, EMBASE and PsycINFO. Inclusion criteria were studies that assessed QoL using standardized tools and examined mortality risk in a non-patient population. Qualitative data synthesis and meta-analyses using a random-effects model were performed.Results: Of 4,184 articles identified, 47 were eligible for inclusion, involving approximately 1,200,000 participants. Studies were highly heterogeneous in terms of QoL measures, population characteristics and data analysis. In total, 43 studies (91.5%) reported that better QoL was associated with lower mortality risk. The results of four meta-analyses indicated that higher health-related QoL (HRQoL) is associated with lower mortality risk, which was consistent for overall HRQoL (HR 0.633, 95% CI: 0.514 to 0.780), physical function (HR 0.987, 95% CI: 0.982 to 0.992), physical component score (OR 0.950, 95% CI: 0.935 to 0.965), and mental component score (OR 0.980, 95% CI: 0.969 to 0.992).Conclusion: These findings provide evidence that better QoL/HRQoL was associated with lower mortality risk. The utility of these measures in predicting mortality risk indicates that they should be considered further as potential screening tools in general clinical practice, beyond the traditional objective measures such as body mass index and the results of laboratory tests.

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Quality of Life and mortality in the general population: a systematic review and meta-analysis

10.21203/rs.2.22428/v4 ◽

2020 ◽

Author(s):

Aung Zaw Zaw Phyo ◽

Rosanne Freak-Poli ◽

Heather Craig ◽

Danijela Gasevic ◽

Nigel Stocks ◽

...

Keyword(s):

Quality Of Life ◽

General Population ◽

Mortality Risk ◽

Population Characteristics ◽

Lower Mortality ◽

Physical Component Score ◽

Component Score ◽

Meta Analyses ◽

Lower Mortality Risk

Abstract Background: Quality of life (QoL) is multi-dimensional concept of an individual’ general well-being status in relation to their value, environment, cultural and social context in which they live. This study aimed to quantitatively synthesise available evidence on the association between QoL and mortality in the general population.Methods: An electronic search was conducted using three bibliographic databases, MEDLINE, EMBASE and PsycINFO. Inclusion criteria were studies that assessed QoL using standardized tools and examined mortality risk in a non-patient population. Qualitative data synthesis and meta-analyses using a random-effects model were performed.Results: Of 4,184 articles identified, 47 were eligible for inclusion, involving approximately 1,200,000 participants. Studies were highly heterogeneous in terms of QoL measures, population characteristics and data analysis. In total, 43 studies (91.5%) reported that better QoL was associated with lower mortality risk. The results of four meta-analyses indicated that higher health-related QoL (HRQoL) is associated with lower mortality risk, which was consistent for overall HRQoL (HR 0.633, 95% CI: 0.514 to 0.780), physical function (HR 0.987, 95% CI: 0.982 to 0.992), physical component score (OR 0.950, 95% CI: 0.935 to 0.965), and mental component score (OR 0.980, 95% CI: 0.969 to 0.992). Conclusion: These findings provide evidence that better QoL/HRQoL was associated with lower mortality risk. The utility of these measures in predicting mortality risk indicates that they should be considered further as potential screening tools in general clinical practice, beyond the traditional objective measures such as body mass index and the results of laboratory tests.

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Quality of Life and Disability-free Survival in the Elderly: The Locomotive Syndrome and Health Outcome in Aizu Cohort Study

Journal of Aging and Health ◽

10.1177/0898264320970323 ◽

2020 ◽

pp. 089826432097032

Author(s):

Cheng-Tzu Hsieh ◽

Hajime Yamazaki ◽

Jui Wang ◽

Tsukasa Kamitani ◽

Yosuke Yamamoto ◽

...

Keyword(s):

Quality Of Life ◽

Proportional Hazards ◽

Short Form ◽

The Elderly ◽

Cox Proportional Hazards ◽

Component Model ◽

Term Care ◽

Free Survival ◽

Point Increase

Objectives: The Short Form 12 Survey (SF-12) three-component model is used to compute health-related quality of life (QoL): it includes physical, mental, and role-social QoL. We asked whether the SF-12 three-component model is associated with disability-free survival. Methods: People ≥65 years old were included ( n = 2634). SF-12 scores were assessed at baseline. The outcome was a composite of loss of independence (LoI) and death. LoI was defined using Japan’s long-term care insurance categories. Hazard ratios (HRs) for LoI or death were estimated using Cox proportional hazards models. Results: Better physical QoL was inversely associated with LoI or death (adjusted HR per 10-point increase: .88 [95% CI: .81–.96]), but mental QoL was not. Better role-social QoL was inversely associated with LoI or death only among participants with higher than average physical QoL (adjusted HR per 10-point increase: .79 [95% CI: .65–.96], p for interaction = .04). Discussion: Physical QoL was associated with disability-free survival, and role-social QoL was associated with disability-free survival among those with better physical QoL.

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Quality of Life and mortality in the general population: a systematic review and meta-analysis

10.21203/rs.2.22428/v2 ◽

2020 ◽

Author(s):

Aung Zaw Zaw Phyo ◽

Rosanne Freak-Poli ◽

Heather Craig ◽

Danijela Gasevic ◽

Nigel Stocks ◽

...

Keyword(s):

Quality Of Life ◽

Mortality Risk ◽

Population Characteristics ◽

Screening Tools ◽

Lower Mortality ◽

Physical Component Score ◽

Component Score ◽

Meta Analyses ◽

Lower Mortality Risk

Abstract Background: Quality of life (QoL) is multi-dimensional concept of an individual’ general well-being status in relation to their value, environment, cultural and social context in which they live. This study aimed to quantitatively synthesise available evidence on the association between QoL and mortality in the general population.Methods: An electronic search was conducted using three bibliographic databases, MEDLINE, EMBASE and PsycINFO. Inclusion criteria were studies that assessed QoL using standardized tools and examined mortality risk in a non-patient population. Qualitative data synthesis and meta-analyses using a random-effects model were performed.Results: Of 4,184 articles identified, 47 were eligible for inclusion, involving approximately 1,200,000 participants. Studies were highly heterogeneous in terms of QoL measures, population characteristics and data analysis. In total, 43 studies (91.5%) reported that better QoL was associated with lower mortality risk. The results of four meta-analyses indicated that higher health-related QoL (HRQoL) is associated with lower mortality risk, which was consistent for overall HRQoL (HR 0.633, 95% CI: 0.514 to 0.780), physical function (HR 0.987, 95% CI: 0.982 to 0.992), physical component score (OR 0.950, 95% CI: 0.935 to 0.965), and mental component score (OR 0.980, 95% CI: 0.969 to 0.992).Conclusion: These findings provide evidence that better QoL/HRQoL was associated with lower mortality risk. The utility of these measures in predicting mortality risk indicates that they should be considered further as potential screening tools in general clinical practice, beyond the traditional objective measures such as body mass index and the results of laboratory tests.

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