Socio-demographic, Clinical, and Genetic Determinants of Quality of Life in Lung Cancer Patients.
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ABSTRACT:
SUBMITTER: Pierzynski JA
PROVIDER: S-EPMC6045646 | BioStudies | 2018-01-01
REPOSITORIES: biostudies
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Project description:BACKGROUND:Quality of life (QOL) is impaired in pancreatic cancer patients. Our aim was to investigate the determinants and prognostic value of QOL after diagnosis in a hospital-based cohort of racially/ethnically diverse patients with pancreatic ductal adenocarcinoma (PDAC). PATIENTS AND METHODS:QOL was prospectively assessed using the Short Form-12 in 2478 PDAC patients. The Physical Component Summary (PCS) and Mental Component Summary (MCS) were categorised into tertiles based on their distribution. Ordered logistic regression was adopted to compare the risk of having lower PCS and MCS by patient sociodemographic and clinical characteristics. The association of PCS and MCS with mortality was assessed by Cox regression. RESULTS:Compared with non-Hispanic whites, Hispanics were at significantly higher risk of having lower PCS (odds ratio [95% CI], 1.69 [1.26-2.26]; P < 0.001) and lower MCS (1.66 [1.24-2.23]; P < 0.001). Patients diagnosed with stage III (1.80 [1.10-2.94]; P = 0.02) and stage IV (2.32 [1.50-3.59]; P < 0.001) PDAC were more likely to have lower PCS than stage I patients. Other determinants of QOL included sex, age, drinking, smoking, education level, comorbidities and time since diagnosis. The low tertile of PCS (hazard ratio [95% CI], 1.94 [1.72-2.18]; P < 0.001) and MCS (1.42 [1.26-1.59]; P < 0.001) were each related to poor prognosis. Similar results were found for non-Hispanic whites as compared with African-Americans/Hispanics/others. CONCLUSION:QOL after diagnosis is a significant prognostic indicator for patients with PDAC. Multiple factors determine QOL, suggesting possible means of intervention to improve QOL and outcomes of PDAC patients.
2018-01-01 | S-EPMC7504973 | BioStudies
Project description:BACKGROUND:The main purpose of performing radiofrequency catheter ablation (RFCA) in atrial fibrillation (AF) patients is to improve the quality of life (QoL) and alleviate AF-related symptoms. We aimed to determine the qualitative and quantitative effects of RFCA on the QoL in AF patients. METHODS:We performed a systemic review and meta-analysis using a random effects model. We searched for the studies that reported the physical component summary score (PCS) and mental component summary score (MCS) of the short form-36, a validated system to assess and quantify the QoL, before and after RFCA in AF patients. PCS and MCS are T-scores with a mean of 50 and standard deviation of 10. RESULTS:Of the 470 studies identified through systematic search, we included 13 studies for pre-RFCA vs. the post-RFCA analysis and 5 studies for treatment success vs. AF recurrence analyses. In the pre-RFCA vs. post-RFCA analysis, RFCA was associated with a significant increase in both the PCS (weighted mean difference [WMD] = 6.33 [4.81-7.84]; p < 0.001) and MCS (WMD = 7.80 [6.15-9.44]; p < 0.001). The ?PCS (post-RFCA PCS-pre-RFCA PCS) and ?MCS values were used for the treatment success vs. AF recurrence analysis. Patients with successful ablation had a higher ?PCS (WMD = 7.46 [4.44-10.49]; p < 0.001) and ?MCS (WMD = 7.59 [4.94-10.24]; p < 0.001). CONCLUSIONS:RFCA is associated with a significant increase in the PCS and MCS in AF patients. Patients without AF recurrence after RFCA had a better improvement in the PCS and MCS than patients who had AF recurrence.
2016-01-01 | S-EPMC5040266 | BioStudies
Project description:Impaired quality of life (QOL) is common in hepatocellular carcinoma (HCC) patients. In this study, we used a large hospital-based multiethnic HCC patient cohort to systematically identify factors associated with QOL and investigate the prognostic value of QOL.The Short Form-12 questionnaire was used to assess QOL. The Physical Component Summary (PCS) and Mental Component Summary (MCS) scores were categorized into three groups (low, medium, and high) and ordered logistic regression analysis was used to analyze the association of PCS and MCS scores with patient characteristics. The association of PCS and MCS scores with mortality was assessed by Cox regression analysis.Notably, a panel of elevated systemic inflammatory response markers was associated with poor QOL. Other significant factors associated with QOL included age, liver function, sex, smoking, HCC etiology, and major clinical features. Patients with low (hazard ratio [95% CI], 1.72 [1.36-2.17]) and medium (1.52 [1.23-1.89]) PCS scores exhibited higher risks of death compared to patients with high PCS score. The association of MCS with the risk of death was not significant. These observations were consistent across all the different ethnicities.The identified factors associated with QOL may help clinicians formulate interventions to improve QOL and outcomes in HCC patients.
2020-01-01 | S-EPMC7093167 | BioStudies
Project description:<h4>Background</h4>Cross-sectional health-related quality of life (HR-QOL) measures are associated with mortality in hemodialysis (HD) patients. The impact of changes in HR-QOL on outcomes remains unclear. We describe the association of prior changes in HR-QOL with subsequent mortality among HD patients.<h4>Methods</h4>A total of 13 784 patients in the Dialysis Outcomes and Practice Patterns Study had more than one measurement of HR-QOL. The impact of changes between two measurements of the physical (PCS) and mental (MCS) component summary scores of the SF-12 on mortality was estimated with Cox regression.<h4>Results</h4>Mean age was 62 years (standard deviation: 14 years); 59% were male and 32% diabetic. Median time between HR-QOL measurements was 12 months [interquartile range (IQR): 11, 14]. Median initial PCS and MCS scores were 37.5 (IQR: 29.4, 46.2) and 46.4 (IQR: 37.2, 54.9); median changes in PCS and MCS scores were -0.2 (IQR: -5.5, 4.7) and -0.1 (IQR: -6.8, 5.9), respectively. The adjusted hazard ratio (HR) for a 5-point decline in HR-QOL score was 1.09 [95% confidence interval (CI): 1.06-1.12] for PCS and 1.05 (95% CI: 1.03-1.08) for MCS. Adjusting for the second QOL score, the change was not associated with mortality: HR = 1.01 (95% CI: 0.98-1.05) for delta PCS and 1.01 (95% CI: 0.98-1.03) for delta MCS. Categorizing the first and second scores as predictors, only the second PCS or MCS score was associated with mortality.<h4>Conclusions</h4>In our study, only the most recent HR-QOL score was associated with mortality. Hence, the predictive power of a measurement of HR-QOL is not affected by changes in HR-QOL prior to that measurement; more frequent HR-QOL measurements are needed to improve the prediction of outcomes in HD. Further studies are needed to determine the optimal frequency and appropriate instrument to be used for serial measurements.
2017-01-01 | S-EPMC5837512 | BioStudies
Project description:<h4>Background</h4>Gastroenteritis has been associated with complications such as irritable bowel syndrome (IBS) and chronic fatigue (CF). Little is known about the implications for quality of life (QoL) in this setting. The aims of this study were to evaluate the association between exposure to Giardia infection and QoL ten years after the infection, and how this related to IBS and CF.<h4>Methods</h4>We followed 1252 patients with laboratory-verified Giardia lamblia infection and a matched control group for 10 years after an epidemic in Bergen, Norway, in 2004. The main outcome was QoL after ten years as defined by the Short-form 12 version 2 with a physical component summary (PCS) and a mental component summary (MCS), both with range 0-100 (T-score). Regression analyses were performed using mixed modeling.<h4>Key results</h4>Mean PCS T-score in the exposed group (51.4; 95% CI: 50.6-52.1) was 2.8 T-score points (95% CI: -3.8 to -1.9, P < 0.001) lower than that in the control group (54.2; 95% CI: 53.7-54.8). The mean MCS T-score was also 2.8 T-score points (95% CI: -3.8 to -1.9, P < 0.001) lower among the exposed (48.9; 95% CI: 48.2-49.6) than the controls (51.7; 95% CI: 51.1-52.4). Further analyses found that the effect of Giardia exposure on QoL was mediated by IBS and CF.<h4>Conclusions & inferences</h4>Exposure to Giardia infection was associated with a lower QoL ten years later as compared to a control group, an effect that was mediated by IBS and CF.
2019-01-01 | S-EPMC6849782 | BioStudies
Project description:<h4>Background</h4>Little is known about determinants of quality of life (QoL) in autosomal dominant polycystic kidney disease (ADPKD). Recent studies suggest that QoL in ADPKD is determined by more factors than mere renal function. We investigated the effect of ADPKD on QoL and evaluated how Qol is affected by disease severity markers renal function, kidney volume and liver volume.<h4>Methods</h4>We performed a systematic review, meta-analysis and meta-regression analyses of cohort studies and randomized controlled trials investigating patient-reported QoL in adult patients with ADPKD not yet on dialysis. EMBASE, MEDLINE, and Web of Science were searched to August 2015 without language restrictions. Two investigators independently reviewed title, abstracts and full text of potentially relevant citations to determine eligibility. We compared pooled QoL summary scores of ADPKD patients using a random-effects meta-analytic model. These scores were compared with mean and age-corrected reference scores of the general population. In a meta-regression analysis, we investigated the univariate effect of renal function, kidney volume and liver volume on QoL.<h4>Results</h4>We included nine studies in meta-analysis including 1623 patients who completed the SF-36 questionnaire. Pooled physical (PCS) and mental component scores (MCS) of the SF-36 of individuals with ADPKD were lower than those of the reference population (45.7 vs. 50.0 and 47.8 vs. 50.0 points, both P < 0.001). QoL of ADPKD patients remained lower after comparison with age-corrected reference values (age 35-44 year; PCS 52.2, MCS 49.9 points, both P < 0.05). Larger liver volume negatively impacted PCS (P < 0.001) and MCS (P = 0.001), whereas there was no association with renal function (PCS P = 0.1, MCS P = 0.9) and kidney volume (PCS P = 0.5, MCS P = 0. 5). Total liver and kidney volume had no impact on PCS (P = 0.1), but did have impact on MCS (P = 0.02).<h4>Conclusions</h4>QoL reported by non-dialysis patients with ADPKD is impaired compared to the general population. Large liver volume was the most important factor that diminishes QoL. PROSPERO International Registry number CRD42015026428.
2017-01-01 | S-EPMC5445294 | BioStudies
Project description:Symptoms in polycystic liver disease (PLD) are thought to be caused by compression of organs and structures by the enlarged liver.The aim of this article is to assess the impact of liver volume on symptoms and quality of life (QoL) in PLD.We included PLD patients from two prospective studies that used the PLD-questionnaire (PLD-Q) for symptom assessment. QoL was assessed through SF-36, summarized in a physical (PCS) and mental (MCS) component score. Liver volume was correlated with PLD-Q total scores. Patients were classified based on height-corrected liver volume in mild (<1600?ml), moderate (1600-3200?ml), and severe (>3200?ml) disease. PLD-Q and QoL (PCS and MCS) scores were compared across disease stages.We included 82 of 131 patients from the original studies (disease stages; mild n?=?26, moderate n?=?33, and severe n?=?23). Patients with larger liver volume reported higher symptom burden (r?=?0.516, p?<?0.001). Symptom scores increased with disease progression, except for abdominal pain (p?=?0.088). PCS decreased with advancing disease (p?<?0.001), in contrast to MCS (p?=?0.055). Moderate (p?=?0.007) and severe (p?<?0.001) PLD patients had lower PCS scores than the general population.PLD with larger liver volume is more likely to be symptomatic and is associated with lower QoL.
2018-01-01 | S-EPMC5802666 | BioStudies
Project description:BACKGROUND:Multimorbidity, the coexistence of two or more chronic conditions is increasingly prevalent in primary care populations. Despite reports on its adverse impact on health outcomes, functioning and well-being, it's association with quality of life is not well known in low and middle income countries. We assessed the health-related quality of life (HRQoL) of primary care patients with multimorbidity and identified the influencing factors. METHODS:This cross-sectional study was done across 20 public and 20 private primary care facilities in Odisha, India. Data were collected from 1649 adult out-patients using a structured multimorbidity assessment questionnaire for primary care (MAQ-PC). HRQoL was assessed by the 12-item short-form health survey (SF-12). Both physical (PCS) and mental components scores (MCS) were calculated. Multiple regression analysis was performed to determine the association of HRQoL with socio-demographics, number, severity and typology of chronic conditions. RESULTS:Around 28.3% [95% CI: 25.9-30.7] of patients had multimorbidity. Mean physical component scope (PCS) and mental component score (MCS) of QoL in the study population was 43.56 [95% CI: 43.26-43.86] and 43.69 [95% CI: 43.22-44.16], respectively. Patients with multimorbidity reported poorer mean PCS [43.23, 95% CI: 42.62-43.84] and MCS [41.58, 95% CI: 40.74-42.43] compared to those without. After adjusting for other variables, morbidity severity burden score was found to be negatively associated with MCS [adjusted coefficient: -0.24, 95% CI -?0.41 to -?0.08], whereas no significant association was seen with PCS. Hypertension and diabetes with arthritis and acid peptic diseases were found to be negatively related with MCS. Within multimorbidity, lower education was inversely associated with mental QoL and positively associated with physical QoL score after adjusting for other variables. CONCLUSION:Our findings demonstrate the diverse negative effects of multimorbidity on HRQoL and reveal that apart from count of chronic conditions, severity and pattern also influence HRQoL negatively. Health care providers should consider severity as an outcome measure to improve QoL especially in individuals with physical multimorbidity. Given the differences observed between age groups, it is important to identify specific care needs for each group. Musculoskeletal clusters need prioritised attention while designing clinical guidelines for multimorbidity.
2019-01-01 | S-EPMC6612103 | BioStudies
Project description:BACKGROUND:Sport participation has many physical and psychosocial benefits, but there is also an inherent risk of injury, subsequent osteoarthritis and psychological challenges that can negatively impact quality of life (QOL). Considering the multifaceted impacts of sport participation on QOL across the lifespan, there is a need to consolidate and present the evidence on QOL in former sport participants. OBJECTIVE:To evaluate QOL and life satisfaction in former sport participants, and determine what factors are associated with QOL and life satisfaction in this population. METHODS:Eight electronic databases were systematically searched in July 2018 to retrieve all articles that evaluated QOL or life satisfaction in former sport participants. Two authors independently screened titles/abstracts and full texts, extracted data, and appraised methodological quality using a modified Downs and Black Checklist. Random-effects meta-analysis estimated pooled mean and 95% confidence intervals (Cis) for Mental Component Scores (MCS) and Physical Component Scores (PCS) derived from the SF-12, SF-36, VR-12 and VR-36 measures. MCS and PCS were pooled for all former sport participants, as well as professional- and collegiate-athlete subgroups. Data that were inappropriate for meta-analysis (i.e. EQ-5D, PROMIS and life-satisfaction outcomes) were collated and reported descriptively. RESULTS:Seventeen articles evaluated QOL or life satisfaction in a total of 6692 former athletes [eight studies (n?=?4255) former professional athletes; six studies (n?=?1946) former collegiate athletes; two studies (n?=?491) included both] with a mean age ranging from 21 to 66 years. Most studies were cross-sectional (15 of 17 articles) and 12 studies had a moderate risk of bias (n?=?1 high-risk, n?=?4 low-risk). Unpublished data were provided for five studies. Meta-analysis of seven studies resulted in a pooled PCS mean (95% CI) of 50.0 (46.6-53.3) [former professional athletes from two studies: 46.7 (42.1-51.2), former collegiate athletes from five studies: 51.2 (48.4-53.9)] and a pooled MCS of 51.4 (50.5-52.2) [former professional athletes: 52.7 (51.3-54.2), former collegiate athletes: 50.9 (50.0-51.8)]. Factors associated with worse QOL or life satisfaction in former athletes included involuntary retirement from sport (three studies), collision/high-contact sport compared with low/no-contact sport (three studies), three or more concussions compared with no/fewer concussions (two studies), increased body mass index (BMI) (worse PCS, three studies), and osteoarthritis or musculoskeletal issues (worse PCS and MCS, three studies; worse PCS but not MCS, two studies). CONCLUSIONS:Former athletes had similar PCS and better MCS, compared to general-population norms. Former athletes with impaired PCS reported better MCS than population norms, highlighting the need to use an instrument that differentiates between physical and mental components of QOL in former sport participants. Factors associated with worse QOL that may explain between-study variation include involuntary retirement, collision/high contact sports, concussion, BMI and osteoarthritis. PROSPERO:CRD42018104319.
2019-01-01 | S-EPMC6789047 | BioStudies
Project description:The frequency of noncardiac chest pain (CP) hospitalization after acute myocardial infarction (AMI) is unknown, and its significance from patients' perspectives is not studied.To assess the frequency of noncardiac CP admissions after AMI and its association with patients' self-reported health status.We identified cardiac and noncardiac CP hospitalizations in the year after AMI from the 24-center TRIUMPH registry. Hierarchical repeated-measures regression was used to identify the association of these hospitalizations with patients' self-reported health status using the Seattle Angina Questionnaire Quality of Life domain (SAQ QoL) and Short Form 12 (SF-12) physical (PCS) and mental (MCS) component summary scores.Of 3,099 patients, 318 (10.3%) were hospitalized with CP, of whom 92 (28.9%) were hospitalized for noncardiac CP. Compared with patients not hospitalized with CP, noncardiac CP hospitalization was associated with poorer health status (SAQ QoL-adjusted differences: -8.9 points [95% CI -12.1 to -5.6]; SF-12 PCS: -2.5 points [95% CI -4.2 to -0.8] and SF-12 MCS: -3.5 points [95% CI -5.1 to -1.9]). The SAQ QoL for patients hospitalized with noncardiac CP was similar to patients hospitalized with cardiac CP (adjusted difference: 0.6 points [95% CI -3.2 to 4.5]; SF-12 PCS (0.9 points [95% CI -1.1 to 2.9]), but was worse with regard to SF-12 MCS (adjusted difference: -2.0 points [95% CI -3.9 to -0.2]).Noncardiac CP accounted for a third of CP hospitalizations within 1 year of AMI and was associated with similar disease-specific QoL as well as general physical and mental health status impairment compared with cardiac CP hospitalization.
2017-01-01 | S-EPMC5575910 | BioStudies